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  1. 8 PostSingularity Lifestyles The Latest and Best AI Tools Functional Machine Sentience_transcript.csv +885 -0
  2. AGI Unleashed Game Theory Byzantine Generals and the Heuristic Imperatives_transcript.csv +840 -0
  3. AGI within 18 months explained with a boatload of papers and projects_transcript.csv +631 -0
  4. AI Blockchain DAO Success How Decentralized Autonomous Organizations will control EVERYTHING_transcript.csv +1123 -0
  5. Accelerating Science with AI Quickly Read Every Paper and Get Key Insights in Bulk_transcript.csv +560 -0
  6. America to hit 82 Unemployment I have the data to back it up_transcript.csv +575 -0
  7. AutoMuse ChatGPT local Python GUI TKINTER Now it can read my entire novel and do QA_transcript.csv +422 -0
  8. Automating Science with GPT4 attempting and failing to perform autonomous literature review_transcript.csv +336 -0
  9. Axiomatic Alignment A critical component to Utopia and the Control Problem_transcript.csv +723 -0
  10. Biological Immortality by 2030 Social Economic Implications Some Predictions_transcript.csv +853 -0
  11. ChatGPT API QA Chatbot ep 1 Data Prep Automating Regenerative Science_transcript.csv +638 -0
  12. ChatGPT API with Salience and Anticipation of User Needs Towards a fully autonomous assistant_transcript.csv +601 -0
  13. ChatGPT as an Interpreter Introducing the KB Microservice for autonomous AI entities_transcript.csv +520 -0
  14. ChatGPT was lobotomized for coding and GitHub Copilot is broken so I made my own_transcript.csv +243 -0
  15. ChatGPT4 Sparse Priming Representations Hierarchical Memory Consolidation and Implied Cognition_transcript.csv +344 -0
  16. Cognitive Architecture April 28 Salience Cognitive Control Task Management Modular Design_transcript.csv +1083 -0
  17. Doomerism Denialism and Optimism Introducing the GATO Framework AI Avengers Assemble_transcript.csv +1417 -0
  18. Energy HyperAbundance Solar Fusion Geopolitics AI_transcript.csv +1394 -0
  19. Escaped Sapiens David Shapiro on AI alignment safety and the future of humanity_transcript.csv +366 -0
  20. First look ChatGPT4 has 32000 tokens Continuing work on my ASCENSION novel with the latest_transcript.csv +664 -0
  21. Forever Jobs AGI and Singularity Proof Occupations plus a few that SHOULD go away_transcript.csv +1233 -0
  22. GPT5 Rumors and Predictions Its about to get real silly_transcript.csv +530 -0
  23. Generative AI for CEOs How to think about AI today and how to get the most ROI from it_transcript.csv +1263 -0
  24. Global AI news you might have missed plus using AI for automatically finding consensus_transcript.csv +791 -0
  25. How Will Super Alignment Work Challenges and Criticisms of OpenAIs Approach to AGI Safety XRisk_transcript.csv +812 -0
  26. How close are we to building a real Westworld A look at the hardware software and social impact_transcript.csv +1214 -0
  27. How do we pay for UBI The answer is not what you think_transcript.csv +1213 -0
  28. I summarized the EU AI Act so you can ask ChatGPT about it easily_transcript.csv +746 -0
  29. Introducing AutoMuse ChatGPT Working on Temporal Hierarchical Memories for AGI ACE systems_transcript.csv +515 -0
  30. Levels of Machine Autonomy Roadmap to AGI_transcript.csv +546 -0
  31. Life under UBI Work hobbies and wellbeing without work_transcript.csv +1228 -0
  32. Microsoft LongNet One BILLION Tokens LLM OpenAI SuperAlignment SINGULARITY APPROACHES_transcript.csv +470 -0
  33. OpenAI 100000 Grants for AI Consensus Platform Plus a Gentle Introduction to GATO Framework_transcript.csv +621 -0
  34. OpenAIs Democratic Inputs to AI My universal survey chatbot is complete Heres how it works_transcript.csv +468 -0
  35. PostLabor Economics What happens when AI changes work forever_transcript.csv +1081 -0
  36. PostSingularity Predictions How will our lives corporations and nations adapt to AI revolution_transcript.csv +1060 -0
  37. Private ChatGPT instance with ChromaDB backend builds personal KB articles updates User Profile_transcript.csv +842 -0
  38. Proposing GAIA Global AI Agency to research AI and solve alignment mitigate existential risks_transcript.csv +847 -0
  39. Reinforcement Learning Heuristic Imperatives RLHI Ep 03 Inner Alignment is EASY_transcript.csv +412 -0
  40. Reinforcement Learning with Heuristic Imperatives RLHI Ep 01 Synthesizing Scenarios_transcript.csv +260 -0
  41. Reinforcement Learning with Heuristic Imperatives RLHI Ep 02 Synthesizing Actions_transcript.csv +502 -0
  42. Sam Altman GRILLED by Congress GATO does a roundtable debrief_transcript.csv +0 -0
  43. Singularity Endgame Utopia Dystopia Collapse or Extinction Its actually up to you_transcript.csv +1148 -0
  44. Sparse Priming Representations the secret ingredient to scalable AGI memories_transcript.csv +491 -0
  45. Terminal Race Condition The greatest danger we face from AGI and how to prevent it_transcript.csv +1598 -0
  46. The AGI Moloch Nash Equilibrium Attractor States and Heuristic Imperatives How to Achieve Utopia_transcript.csv +1104 -0
  47. The Age of Autonomous AI Dozens of Papers and Projects plus my solution to the Alignment Problem_transcript.csv +710 -0
  48. The Generative AI Revolution Why the Data Flywheel is Your Businesss Secret Weapon_transcript.csv +392 -0
  49. The Psychology of AI Overlords and Transhumanism Borg Queen Cortana and Tony Stark_transcript.csv +1226 -0
  50. Using GPT4 to edit entire chapters in my novel Development and Prose Feedback Summaries_transcript.csv +244 -0
8 PostSingularity Lifestyles The Latest and Best AI Tools Functional Machine Sentience_transcript.csv ADDED
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1
+ text,start,duration
2
+ what is up everybody David Shapiro here,0.84,6.36
3
+ with a video so,3.959,5.281
4
+ um my videos are probably gonna change,7.2,3.24
5
+ tone,9.24,4.439
6
+ um just because the the the landscape is,10.44,5.699
7
+ changing really fast so you'll probably,13.679,4.741
8
+ see me doing less coding except for,16.139,3.541
9
+ every now and then when I have something,18.42,3.48
10
+ to demonstrate but the news is changing,19.68,4.92
11
+ so fast and most of the questions that I,21.9,4.92
12
+ get now are people just asking me what,24.6,5.099
13
+ the heck is going on so our first what,26.82,5.16
14
+ the heck is going on with AI video is,29.699,6.061
15
+ today Saturday morning on March 25th,31.98,6.96
16
+ um I got access to Adobe Firefly,35.76,5.04
17
+ um oh and to give you what to expect for,38.94,3.66
18
+ the rest of the video I'll review a few,40.8,3.72
19
+ tools and then I'll give you some,42.6,3.54
20
+ examples of the research that I'm doing,44.52,4.379
21
+ so my research is pivoting away from the,46.14,4.38
22
+ coding and more to the science and,48.899,3.061
23
+ naming things and I'll explain that when,50.52,3.18
24
+ we get to it but anyways we're going to,51.96,4.38
25
+ review five of the most powerful tools,53.7,6.48
26
+ that I have seen uh so far lately and,56.34,5.58
27
+ then we'll pivot to to these to those,60.18,5.4
28
+ conversations so Adobe Firefly,61.92,6.0
29
+ um all pretty much everyone has seen you,65.58,4.5
30
+ know text to image lately,67.92,4.62
31
+ um but of course Adobe is um you know,70.08,4.26
32
+ they've been the leader like one of the,72.54,3.54
33
+ world leaders in terms of media,74.34,5.04
34
+ generation Adobe is working on text to,76.08,6.899
35
+ sound uh text to video uh video to sound,79.38,6.0
36
+ all kinds of stuff so I have no doubt,82.979,5.46
37
+ that on in in the multimedia landscape,85.38,5.4
38
+ Adobe is probably going to pull ahead,88.439,5.701
39
+ very quickly especially since they are,90.78,5.4
40
+ you know they've got Adobe Premiere,94.14,4.74
41
+ Adobe studio Adobe Photoshop like they,96.18,4.86
42
+ have just such a huge,98.88,4.379
43
+ um library of tools that they can go,101.04,3.66
44
+ ahead and integrate,103.259,4.381
45
+ so I suspect that adobe is going to be,104.7,5.34
46
+ at the top like look at this like this,107.64,4.2
47
+ looks like a real photo of an engine,110.04,3.899
48
+ like if you look closely you can see,111.84,3.84
49
+ some artifacts that are like okay that,113.939,3.781
50
+ doesn't quite look right like you know,115.68,4.439
51
+ what is this part here that shape is not,117.72,4.679
52
+ quite what you'd expect but still it's,120.119,4.201
53
+ pretty darn convincing,122.399,2.881
54
+ um and it's only going to get better,124.32,3.36
55
+ because this is still in beta,125.28,5.819
56
+ um so uh the text to image now another,127.68,5.88
57
+ thing that adobe Firefly has is text,131.099,5.701
58
+ effects so you can get text of any like,133.56,6.42
59
+ size and shape and so what I did what I,136.8,7.74
60
+ I did like uh cognitive architecture and,139.98,6.0
61
+ it's it's really limited I don't know,144.54,2.88
62
+ why but they've only give you like 15,145.98,4.32
63
+ characters and then you can say like,147.42,8.58
64
+ um uh let's see steampunk and Fire,150.3,7.86
65
+ um and it will generate like any style,156.0,4.02
66
+ of text that you want,158.16,4.14
67
+ um and it's super easy super fast super,160.02,3.9
68
+ useful,162.3,3.96
69
+ um so you can do like flaming steampunk,163.92,4.8
70
+ letters it's pretty cool can I zoom in,166.26,4.559
71
+ no I cannot,168.72,4.44
72
+ um if I download it I probably can show,170.819,4.14
73
+ you let me see,173.16,4.38
74
+ and right now they add this like little,174.959,5.221
75
+ Annoying like Watermark but here look,177.54,5.94
76
+ you can see that like I I the the font,180.18,6.66
77
+ is preset but the graphical style is,183.48,6.72
78
+ just instant so that's pretty useful,186.84,5.1
79
+ um in fact I'll probably be using this,190.2,4.08
80
+ for all of my YouTube thumbnails from,191.94,5.1
81
+ now on because it looks really cool,194.28,4.62
82
+ um but yeah so that's Adobe Firefly,197.04,4.919
83
+ definitely recommend signing up the beta,198.9,6.119
84
+ is free right now which is incredible,201.959,4.741
85
+ um because I'm a because I'm a full-time,205.019,5.401
86
+ YouTuber I I will I would pay for this,206.7,6.119
87
+ um I have seen some people using there's,210.42,6.62
88
+ there's a rumored like Dolly 2 version,212.819,7.861
89
+ 2.2 or Dolly three coming out but I,217.04,5.02
90
+ don't know,220.68,2.339
91
+ um,222.06,3.3
92
+ because like I don't know if it's people,223.019,5.22
93
+ just like remixing mid-journey and,225.36,5.159
94
+ stable diffusion or what but anyways,228.239,5.761
95
+ point being this is ramping up quickly I,230.519,5.161
96
+ suspect that by this time next year,234.0,3.959
97
+ Adobe and others are going to have like,235.68,5.1
98
+ fully fledged text to video you can make,237.959,5.7
99
+ your own movie at home just by giving it,240.78,5.22
100
+ a a screenplay we're probably going to,243.659,4.381
101
+ need a new format of screenplays because,246.0,3.72
102
+ like you need to like Define the setting,248.04,3.24
103
+ and then say what happens and control,249.72,3.599
104
+ the shots and stuff but all that's,251.28,3.959
105
+ coming,253.319,5.221
106
+ um yep so I also got access to Bard,255.239,5.821
107
+ um and some of you saw in my last video,258.54,4.68
108
+ like I asked Bard for help and it's like,261.06,3.72
109
+ I can't do that I'm a language mod I'm,263.22,2.759
110
+ like okay but can you search the,264.78,2.58
111
+ internet it's like yes I can and didn't,265.979,3.061
112
+ search the internet so I'm like this is,267.36,4.8
113
+ not useful I asked it for um for AI news,269.04,4.8
114
+ and it gives me stuff that's like a year,272.16,4.5
115
+ or two old so I'm like okay,273.84,5.46
116
+ um I'm basically eating my words where a,276.66,4.5
117
+ few weeks ago I predicted that Google,279.3,4.76
118
+ was gonna win the chat bot arms race,281.16,5.34
119
+ yeah about that,284.06,4.48
120
+ they've got a lot of catching up to do,286.5,4.56
121
+ everyone is like a year or two or more,288.54,5.64
122
+ behind open Ai and uh and Microsoft with,291.06,4.74
123
+ Bing,294.18,5.4
124
+ um so Adobe Firefly Big Win Google bard,295.8,5.76
125
+ super yikes,299.58,4.74
126
+ um now another tool as people are,301.56,4.74
127
+ getting more familiar with the idea of,304.32,4.379
128
+ cognitive architecture and autonomous Ai,306.3,4.619
129
+ and figuring out how to plumb all these,308.699,4.621
130
+ things together there's two tools that,310.919,4.141
131
+ have percolated up to the top one is,313.32,4.319
132
+ Lang chain which is,315.06,5.34
133
+ um which is like this it's a set of of,317.639,5.521
134
+ tools where you can use large language,320.4,5.34
135
+ models you can load indexes you can,323.16,5.879
136
+ create uh logic chains you can create uh,325.74,5.82
137
+ agents and and have memories and so on,329.039,5.1
138
+ and so forth basically Lang chain allows,331.56,4.8
139
+ you to equip your your language model,334.139,4.441
140
+ with a set of tools that it can pick,336.36,4.619
141
+ from and it'll pick the tool and use the,338.58,4.92
142
+ tool and then of course there's all,340.979,5.581
143
+ kinds of tools that you can use now that,343.5,5.16
144
+ is super useful but it's a little bit,346.56,4.199
145
+ clunky some of the people that I've that,348.66,3.36
146
+ I've talked to,350.759,3.241
147
+ um use that are using it some of my,352.02,4.619
148
+ patreon supporters that I've shared it,354.0,4.86
149
+ with they say like yeah it's a little,356.639,4.021
150
+ bit to wrap your head around but once,358.86,4.26
151
+ you get it it's pretty powerful now if,360.66,4.44
152
+ you want a graphical version with,363.12,4.38
153
+ specific workflows and Integrations I,365.1,6.48
154
+ want to introduce you to n8n dot IO so,367.5,5.94
155
+ um I mentioned in a couple recent videos,371.58,3.72
156
+ that I'm working with um some folks on,373.44,4.08
157
+ cognitive architecture this is one of,375.3,5.04
158
+ the tools that they introduced me to to,377.52,4.98
159
+ help build cognitive architectures,380.34,4.68
160
+ because this can connect to all kinds of,382.5,4.56
161
+ things you can create very easy to,385.02,4.38
162
+ follow graphical workflows I don't know,387.06,5.16
163
+ if it can do loops but still like you,389.4,5.1
164
+ know you can create a task and then call,392.22,4.5
165
+ that task up and task select and all,394.5,6.0
166
+ that kind of fun stuff so n8n is um it's,396.72,5.4
167
+ it's pretty,400.5,4.86
168
+ um and it and watching what some of the,402.12,4.44
169
+ some of the guys that I'm working with,405.36,4.2
170
+ what they're doing it's incredible so if,406.56,5.22
171
+ you want to create more autonomous AI,409.56,5.28
172
+ systems with more Integrations this,411.78,5.22
173
+ might be the way to go I know that chat,414.84,5.1
174
+ GPT plugins are coming but that is,417.0,4.919
175
+ putting chat GPT front and center,419.94,4.8
176
+ whereas this kind of says let's look at,421.919,4.981
177
+ the broader architecture and the,424.74,3.42
178
+ language model is just going to be,426.9,3.6
179
+ something that you can use in some of,428.16,3.36
180
+ these nodes so there's different,430.5,3.3
181
+ paradigms I think both are here to stay,431.52,4.56
182
+ because when you look at how powerful,433.8,5.459
183
+ chat GPT is you definitely want to make,436.08,5.54
184
+ chat GPT more extensible and more useful,439.259,4.44
185
+ some of the people on the Discord,441.62,4.54
186
+ communities that I'm a part of Link in,443.699,4.201
187
+ the description for the main one by the,446.16,2.939
188
+ way,447.9,2.94
189
+ um some of them have gotten access to,449.099,4.5
190
+ the GPT with plugins already and they're,450.84,4.56
191
+ saying like yeah it's pretty it's pretty,453.599,3.361
192
+ incredible just how straightforward it,455.4,3.54
193
+ is like one guy was saying I think he,456.96,3.72
194
+ said that he like asked it to send his,458.94,4.8
195
+ brother an email and coordinate like the,460.68,4.56
196
+ hotel you know it's pretty pretty,463.74,4.679
197
+ stereotypical anyways point being these,465.24,5.399
198
+ things work and they are smart,468.419,3.541
199
+ um and they're only going to get smarter,470.639,4.441
200
+ so here's the wild thing like six months,471.96,5.579
201
+ ago we didn't even have chat GPT now,475.08,5.339
202
+ we've got chat gpt4 and plugins and,477.539,5.761
203
+ Integrations and text to image and text,480.419,5.4
204
+ to video imagine where we're gonna be in,483.3,5.519
205
+ five years we're gonna be like the,485.819,5.28
206
+ technology in Star Trek is gonna look,488.819,4.201
207
+ primitive compared to where we're gonna,491.099,4.741
208
+ be in five years mark my words I know,493.02,4.32
209
+ that some people in common say oh yeah,495.84,3.18
210
+ like we're close to AGI it's eight to,497.34,4.199
211
+ ten years away I'm like dude full AGI is,499.02,6.359
212
+ like 18 months or less now defining the,501.539,5.28
213
+ singularity is going to be another thing,505.379,3.6
214
+ we'll talk about that in another video,506.819,5.16
215
+ okay so in terms of chaining and,508.979,5.581
216
+ orchestrating innate in and Lang chain,511.979,4.56
217
+ are the two top tools that I have to,514.56,3.3
218
+ recommend,516.539,3.06
219
+ um I recommend these to a lot of my,517.86,3.9
220
+ patreon supporters,519.599,5.161
221
+ um and I'm still learning about them,521.76,5.88
222
+ um but these these these tools have,524.76,4.5
223
+ percolated to the top as the way to go,527.64,3.42
224
+ and I know I said not nice things about,529.26,4.019
225
+ Lang chain early on,531.06,4.68
226
+ um but after seeing the Wolfram Alpha,533.279,4.68
227
+ video and understanding oh task,535.74,4.08
228
+ selection this is this is basically,537.959,4.5
229
+ cognitive control and cognitive control,539.82,4.68
230
+ is one of the most important functions,542.459,4.5
231
+ to have an autonomous intelligent entity,544.5,4.44
232
+ so with a little bit more work maybe,546.959,3.901
233
+ with a graphical,548.94,4.26
234
+ um Lang chain Builder that could be a,550.86,4.8
235
+ cool thing maybe if Lang chain you know,553.2,5.46
236
+ merges with n8n or you know borrows some,555.66,5.16
237
+ could be super powerful especially if,558.66,4.32
238
+ you add in loops loops and nodes,560.82,4.079
239
+ everyone is going to be able to build,562.98,3.539
240
+ their own cognitive architectures before,564.899,3.421
241
+ too long which again this is one of the,566.519,3.301
242
+ reasons why it's like okay this is no,568.32,3.18
243
+ longer I'm no longer leading the charge,569.82,2.94
244
+ so I don't have anything to contribute,571.5,2.7
245
+ I'm just going to teach people about it,572.76,2.46
246
+ now,574.2,3.3
247
+ and then finally,575.22,4.32
248
+ um a llama index or what has been,577.5,6.06
249
+ renamed um GPT index is a uh is a data,579.54,6.96
250
+ connector so again Integrations are are,583.56,5.7
251
+ the way of uh this is the way now so,586.5,4.2
252
+ whether you're talking about chat GPT,589.26,4.8
253
+ plugins or orchestration engines or,590.7,4.92
254
+ other connectors,594.06,2.52
255
+ um here let me zoom in a little bit,595.62,3.12
256
+ because this is microscopic,596.58,5.699
257
+ um the GPT Index this allows you to,598.74,6.9
258
+ connect to a lot of other things so,602.279,6.721
259
+ again Integrations are coming this GPT,605.64,5.759
260
+ index might be completely replaced by,609.0,5.279
261
+ gbt plugins but it's here now and you,611.399,5.581
262
+ can use it and also,614.279,3.901
263
+ um this kind of stuff is going to be,616.98,2.94
264
+ needed for other language models right,618.18,4.86
265
+ open Ai and chat GPT are not the only,619.92,6.419
266
+ players out there Stanford Google,623.04,5.16
267
+ um Nvidia everyone is going to have,626.339,3.541
268
+ these and so what we're probably going,628.2,5.46
269
+ to end up seeing is as an ecosystem of,629.88,6.48
270
+ Open Source and openstand rendered and,633.66,4.619
271
+ interoperable things so some of the,636.36,3.24
272
+ cognitive Architects that I'm working,638.279,3.18
273
+ with we're already thinking about like,639.6,4.859
274
+ okay how do you have a plug-and-play set,641.459,4.861
275
+ of language models,644.459,3.901
276
+ that are interchangeable right because,646.32,4.44
277
+ in a previous video I mentioned that,648.36,4.56
278
+ what what what a lot of us expect are,650.76,4.319
279
+ going to happen is we're going to have a,652.92,4.26
280
+ lot we're going to have a library of,655.079,3.901
281
+ language models that are optimized for,657.18,4.14
282
+ different things token optimize or a,658.98,4.5
283
+ window optimized language models speed,661.32,4.74
284
+ optimized language models mobile right I,663.48,4.56
285
+ know the um a lot of folks in the mobile,666.06,4.019
286
+ industry are working on really,668.04,3.78
287
+ lightweight language models that are,670.079,4.681
288
+ that can run on your cell phone right so,671.82,4.259
289
+ we're going to have a bunch of,674.76,2.519
290
+ interchangeable stuff so we're gonna,676.079,3.481
291
+ need to have some standards and also,677.279,4.381
292
+ some platforms that are interchangeable,679.56,4.92
293
+ now that being said the open Ai and,681.66,4.26
294
+ Microsoft stack,684.48,3.06
295
+ they're probably going to have the,685.92,3.359
296
+ Walled Garden model,687.54,3.06
297
+ um which is kind of what Facebook did,689.279,3.841
298
+ for many years which is hey you use us,690.6,4.56
299
+ you're going to use our ecosystem apple,693.12,5.159
300
+ as well use the Apple use the iPhone you,695.16,5.52
301
+ use iTunes you use the Apple Store it's,698.279,4.68
302
+ the Walled Garden so I think that the,700.68,6.42
303
+ big players you know Adobe Microsoft,702.959,6.661
304
+ Google they're probably going to try to,707.1,4.2
305
+ do the Walled Garden model which makes,709.62,4.38
306
+ sense from a business perspective and I,711.3,4.14
307
+ know that there's lots and lots of other,714.0,4.62
308
+ people working on AI marketplaces out,715.44,6.54
309
+ there so that's that's coming so we're,718.62,5.7
310
+ it's basically going to be ultimately,721.98,4.32
311
+ it's going to look the same as like the,724.32,4.62
312
+ Windows versus Linux ecosystem does,726.3,5.099
313
+ today you can use Linux you can use the,728.94,4.98
314
+ open source models you can use the open,731.399,5.161
315
+ source orchestration engines or you can,733.92,4.56
316
+ go with the big box stores that's,736.56,3.36
317
+ probably how it's going to play out,738.48,3.9
318
+ honestly,739.92,4.14
319
+ um okay so I think that's about it for,742.38,4.74
320
+ the AI tools so now let's pivot to some,744.06,5.64
321
+ of the research that I've been doing,747.12,4.56
322
+ um and I I've been trying to figure out,749.7,4.44
323
+ like kind of where I fit in and and how,751.68,4.62
324
+ I can contribute and so what I've,754.14,3.9
325
+ started doing is just posting it on,756.3,4.02
326
+ Reddit because then it's public it's,758.04,4.979
327
+ going to be there for you know forever,760.32,4.139
328
+ um and anyone can read it and,763.019,4.141
329
+ participate in the conversation so the,764.459,4.38
330
+ first conversation that I want to share,767.16,4.5
331
+ that I published was talking with gpt4,768.839,5.101
332
+ about functional sentience versus,771.66,4.5
333
+ philosophical sentience,773.94,3.54
334
+ so,776.16,5.82
335
+ as people are taking autonomous AI or,777.48,6.479
336
+ autonomous cognitive entities as I call,781.98,4.979
337
+ them more seriously the question is,783.959,6.12
338
+ arising what is sentience what is,786.959,4.921
339
+ consciousness what does it mean to be,790.079,4.141
340
+ alive and some people don't like the,791.88,4.079
341
+ term functional sentience they say why,794.22,3.48
342
+ not call it functional Consciousness or,795.959,4.32
343
+ functional sapience or something else I,797.7,3.78
344
+ don't really care I'm not going to have,800.279,3.781
345
+ a semantic debate the purpose though of,801.48,5.7
346
+ this is differentiating functional or,804.06,5.82
347
+ objectively measurable aspects of,807.18,4.68
348
+ Consciousness sentient sapience whatever,809.88,6.06
349
+ versus the philosophical aspect of these,811.86,6.0
350
+ things and so,815.94,4.56
351
+ here's the beginning of the conversation,817.86,4.979
352
+ um I just I I prime it I say I'm working,820.5,4.2
353
+ on on differentiating functional versus,822.839,5.281
354
+ philosophical sentience and uh chat GPT,824.7,6.0
355
+ very quickly says yes philosophical,828.12,4.26
356
+ sentience or phenomenal Consciousness,830.7,3.66
357
+ this refers to the subjective experience,832.38,4.56
358
+ or the intermental life of being what it,834.36,4.56
359
+ is like to be that thing and then,836.94,3.72
360
+ functional sentience talks about you,838.92,4.02
361
+ know the more objectively uh what is,840.66,4.26
362
+ what is the information system required,842.94,3.72
363
+ and so through the rest of the,844.92,4.2
364
+ conversation we identify a bunch of,846.66,6.6
365
+ criteria for functional sentience how,849.12,6.959
366
+ can you test it so on and so forth,853.26,3.42
367
+ um,856.079,2.94
368
+ and then I ask it to extend the,856.68,4.8
369
+ conversation so first,859.019,3.781
370
+ um you know here's a more thorough,861.48,3.659
371
+ definition of a functional sentience it,862.8,4.08
372
+ has self-awareness I don't know that,865.139,3.901
373
+ self-awareness is is critical but you,866.88,3.959
374
+ could functionally or objectively,869.04,3.599
375
+ measure self-awareness right if you ask,870.839,3.901
376
+ them a language model what are you and,872.639,4.14
377
+ it says I'm a language model okay cool,874.74,4.14
378
+ you could still argue that that's just a,876.779,3.481
379
+ stochastic parrot telling you what it's,878.88,3.66
380
+ been programmed to do but I always argue,880.26,3.9
381
+ that that's all that humans are anyways,882.54,4.26
382
+ so what's the difference,884.16,4.32
383
+ um adaptive learning,886.8,3.24
384
+ um I don't know that that adaptive,888.48,3.359
385
+ learning is required for sentience but,890.04,3.5
386
+ it's interesting that it included it,891.839,3.841
387
+ goal-oriented Behavior I definitely,893.54,4.359
388
+ agree with this one because sentience,895.68,4.92
389
+ implies autonomy and in order to be,897.899,4.201
390
+ autonomous you have to have your own,900.6,3.179
391
+ goals or objectives,902.1,3.859
392
+ and then of course autonomy right here,903.779,5.581
393
+ communication uh communication is,905.959,6.94
394
+ implicit but you can have uh well you,909.36,5.159
395
+ could probably have sentient things that,912.899,3.541
396
+ can't communicate,914.519,3.901
397
+ um problem solving representation of,916.44,4.86
398
+ internal States so this is this is the,918.42,4.56
399
+ information required and this is,921.3,3.719
400
+ actually where I started with my,922.98,4.26
401
+ definition of functional sentience which,925.019,4.62
402
+ is in order for an information system to,927.24,4.38
403
+ be functionally sentient it must have,929.639,3.961
404
+ information about its own operation,931.62,4.14
405
+ which we have information about our own,933.6,4.5
406
+ operation because we have interception,935.76,5.22
407
+ proprioception metacognition and so on,938.1,4.919
408
+ but still we are largely unaware of,940.98,4.2
409
+ what's going on in our own bodies,943.019,6.241
410
+ uh memory sensitivity con to context and,945.18,5.88
411
+ integration of information so this is,949.26,4.079
412
+ all stuff that it's some of it's,951.06,3.839
413
+ debatable and of course it's Reddit so,953.339,2.821
414
+ some people are debating it I don't,954.899,3.3
415
+ really care I set the stage and now we,956.16,4.619
416
+ have a set of terms that we can use to,958.199,5.281
417
+ have these conversations like I said I'm,960.779,5.12
418
+ not here to to to you know,963.48,4.979
419
+ single-handedly tell you what's true I'm,965.899,4.24
420
+ just advancing the conversation that's,968.459,3.06
421
+ my role now,970.139,4.44
422
+ um so then finally the conversation ends,971.519,5.521
423
+ um and I ask it I I ask the model so let,974.579,4.221
424
+ me show I said this conversation was,977.04,3.539
425
+ shorter than I thought it was going to,978.8,3.82
426
+ be I think you nailed it any independent,980.579,4.26
427
+ thoughts final observations logical,982.62,4.26
428
+ conclusions future research directions,984.839,3.601
429
+ anything you got hit me with it,986.88,3.66
430
+ figuratively,988.44,4.38
431
+ um so it comes up with the idea of,990.54,4.799
432
+ Continuum of sentience,992.82,4.56
433
+ um basically that functional sentience,995.339,4.44
434
+ may exist along a Continuum it's not a,997.38,3.959
435
+ it's not a Boolean it's not true or,999.779,3.541
436
+ false it's not that something is or is,1001.339,4.44
437
+ not sentient it is that,1003.32,4.8
438
+ um there are there are degrees of,1005.779,4.141
439
+ functional sentience which I think is a,1008.12,4.079
440
+ really important conversation to start,1009.92,3.419
441
+ having,1012.199,3.661
442
+ um the ethical implications,1013.339,3.541
443
+ um,1015.86,4.919
444
+ so like do we do we call it uh you know,1016.88,6.18
445
+ is it do we have any moral obligations,1020.779,5.16
446
+ to it as a functionally sentient thing I,1023.06,4.68
447
+ think no because unless we give it the,1025.939,3.541
448
+ ability to suffer which I think I'll,1027.74,3.48
449
+ probably have that conversation like,1029.48,4.079
450
+ what intrinsic motivations do we give,1031.22,3.54
451
+ these things,1033.559,2.341
452
+ um that's actually probably going to be,1034.76,2.819
453
+ my next conversation is intrinsic,1035.9,4.2
454
+ motivations such as like do you make it,1037.579,4.141
455
+ suffer do you give it a sense of pain a,1040.1,2.88
456
+ sense of self-preservation and the,1041.72,2.82
457
+ answer to those questions is,1042.98,3.479
458
+ resoundingly no,1044.54,3.6
459
+ um now number three is really,1046.459,2.941
460
+ interesting the emergence of,1048.14,4.14
461
+ philosophical sentience this is what the,1049.4,6.0
462
+ whole Lambda Blake Lemoine debacle was,1052.28,5.3
463
+ about was that Blake believed that,1055.4,6.18
464
+ philosophical sentience emerged but it's,1057.58,5.92
465
+ impossible to tell,1061.58,3.36
466
+ um so explore the relationship between,1063.5,3.059
467
+ functional and philosophical sentience,1064.94,4.14
468
+ just investigate whether a certain level,1066.559,3.901
469
+ of functional sentience might be,1069.08,3.719
470
+ necessary or sufficient for the,1070.46,5.099
471
+ emergence of phenomenal Consciousness or,1072.799,4.861
472
+ if these two aspects are entirely,1075.559,5.821
473
+ independent this conversation I suspect,1077.66,5.82
474
+ will be raging for decades if not,1081.38,4.679
475
+ centuries who knows,1083.48,3.3
476
+ um,1086.059,3.36
477
+ test development okay whatever evolution,1086.78,4.019
478
+ of sentience,1089.419,2.88
479
+ um study the evolution of sentience and,1090.799,3.421
480
+ biological organisms because again,1092.299,3.661
481
+ sentience might also exist along a,1094.22,3.54
482
+ spectrum for people like if you're,1095.96,3.599
483
+ really tired you're less aware if you're,1097.76,3.96
484
+ really drunk you're less aware,1099.559,3.781
485
+ um on another comment someone pointed,1101.72,3.6
486
+ out that sleepwalking if someone is,1103.34,3.66
487
+ sleepwalking they might be functionally,1105.32,3.9
488
+ sentient because you can often have a,1107.0,4.02
489
+ conversation with someone but they have,1109.22,3.839
490
+ no awareness of what's going on which is,1111.02,3.659
491
+ really creepy so that's the Chalmers,1113.059,3.181
492
+ zombie,1114.679,3.781
493
+ um philosophical thought experiment and,1116.24,3.36
494
+ then finally the legal and social,1118.46,3.66
495
+ implications so this is the conversation,1119.6,5.699
496
+ on r slash artificial sentience about,1122.12,4.799
497
+ functional versus philosophical,1125.299,3.24
498
+ sentience,1126.919,2.76
499
+ um I was really happy with this,1128.539,3.121
500
+ conversation of course there are some,1129.679,3.841
501
+ holes you can poke in it whatever I,1131.66,3.18
502
+ don't care,1133.52,3.18
503
+ um then last night I had another,1134.84,4.8
504
+ conversation with chat gpt4,1136.7,5.46
505
+ and what I what where the conversation,1139.64,4.46
506
+ started was I wanted to talk about,1142.16,4.92
507
+ autonomous Ai and the implications of,1144.1,5.86
508
+ autonomous Ai and so for there we just,1147.08,4.5
509
+ we kind of quickly,1149.96,4.74
510
+ um established some criteria about,1151.58,6.719
511
+ um about what would need to go into a a,1154.7,5.88
512
+ system for it to be classified as a,1158.299,5.24
513
+ autonomous Ai and it has narrow AI,1160.58,5.54
514
+ proficiency General AI capability,1163.539,4.661
515
+ self-improvement autonomy and decision,1166.12,3.82
516
+ making ethical and moral reasoning,1168.2,4.02
517
+ emotional intelligence,1169.94,4.32
518
+ positive impacts increased efficiency,1172.22,4.319
519
+ new jobs improved quality of life,1174.26,4.68
520
+ enhance scientific research negative,1176.539,4.441
521
+ impacts job displacement economic,1178.94,4.68
522
+ inequality ethical and moral concerns,1180.98,4.92
523
+ and security risks,1183.62,3.36
524
+ so,1185.9,5.1
525
+ I added I was like okay uh you know,1186.98,6.78
526
+ this this is this is okay,1191.0,5.28
527
+ um but it was missing the concept of,1193.76,4.62
528
+ intrinsic motivations because if,1196.28,4.38
529
+ something is autonomous and it can make,1198.38,4.26
530
+ decisions what is it making those,1200.66,4.68
531
+ decisions based on and so when I pointed,1202.64,4.74
532
+ out that it was missing any conversation,1205.34,4.8
533
+ about intrinsic motivations it updated,1207.38,4.5
534
+ number one,1210.14,3.539
535
+ um or it I guess it added another one,1211.88,3.72
536
+ and said intrinsic motivation and goal,1213.679,4.321
537
+ setting it would need it did agree very,1215.6,4.8
538
+ quickly that and of course it's chat GPT,1218.0,4.14
539
+ so it's generally going to agree with,1220.4,3.779
540
+ whatever you tell it to do,1222.14,4.32
541
+ um but it did say yeah like let's talk,1224.179,4.38
542
+ about intrinsic motivation goal setting,1226.46,4.62
543
+ and so then I was like okay let's follow,1228.559,4.921
544
+ that like what what do you think it,1231.08,4.32
545
+ should have all I did I said what what,1233.48,3.24
546
+ do you think the intrinsic motivations,1235.4,4.68
547
+ of autonomous AI should be,1236.72,5.22
548
+ um it should and this was this was,1240.08,3.54
549
+ actually really impressive value,1241.94,3.3
550
+ alignment the AI system should be,1243.62,3.48
551
+ intrinsically motivated to align its,1245.24,3.66
552
+ goals with human values and ethical,1247.1,5.04
553
+ principles self-preservation this one I,1248.9,5.7
554
+ fervently disagree with,1252.14,3.84
555
+ um and we'll get into that later in the,1254.6,3.6
556
+ conversation exploration and curiosity,1255.98,4.68
557
+ yes I definitely agree with this one and,1258.2,4.08
558
+ I codified that with my third core,1260.66,3.06
559
+ objective function or heuristic,1262.28,4.44
560
+ imperative increase understanding,1263.72,4.98
561
+ um we definitely want our machines to be,1266.72,5.76
562
+ curious because curiosity does a lot for,1268.7,4.979
563
+ us there's a lot to unpack there,1272.48,3.96
564
+ efficiency they said it should chat GPD,1273.679,5.521
565
+ said it should seek to increase its own,1276.44,5.52
566
+ efficiency over time which yeah I think,1279.2,5.099
567
+ that that's a good idea collaboration it,1281.96,4.02
568
+ should be intrinsically motivated to,1284.299,4.021
569
+ look at this to work with other AI,1285.98,4.98
570
+ systems and humans it should be,1288.32,5.82
571
+ intrinsically motivated to cause avoid,1290.96,4.92
572
+ causing harm to humans in the,1294.14,3.2
573
+ environment,1295.88,3.96
574
+ empathy and social awareness AI systems,1297.34,3.94
575
+ should be motivated to understand human,1299.84,4.38
576
+ emotions and social dynamics,1301.28,5.22
577
+ um so this is this is a good start but I,1304.22,3.42
578
+ pointed out that this is very,1306.5,3.48
579
+ androcentric so androcentric means man,1307.64,5.159
580
+ Centric or human-centric,1309.98,4.5
581
+ um I said why not include all life,1312.799,4.321
582
+ humans cannot live without ecosystems I,1314.48,4.199
583
+ said also AI with a sense of,1317.12,2.88
584
+ self-preservation would potentially,1318.679,3.601
585
+ fight to preserve itself I think that,1320.0,3.6
586
+ motivation could have disastrous,1322.28,2.94
587
+ consequences as it will try to stay,1323.6,4.16
588
+ online even if it becomes harmful,1325.22,5.16
589
+ apoptosis is important,1327.76,4.779
590
+ you raise valid concerns I apologize for,1330.38,5.039
591
+ my oversight again chat GPT is generally,1332.539,5.281
592
+ going to be agreeable it will push back,1335.419,4.62
593
+ if you're trying to Advocate violence or,1337.82,3.599
594
+ something,1340.039,4.62
595
+ um so it it updated its its uh intrinsic,1341.419,5.341
596
+ motivations ecosystem and life-centric,1344.659,5.041
597
+ values so this this would be called like,1346.76,6.299
598
+ sentientism or biocentrism AI systems,1349.7,4.8
599
+ should prioritize the well-being of the,1353.059,3.36
600
+ entire ecosystem and all life forms,1354.5,3.96
601
+ including humans,1356.419,3.781
602
+ um which I agree with this is reduced,1358.46,4.199
603
+ suffering and increased prosperity,1360.2,4.32
604
+ balance and Harmony,1362.659,3.481
605
+ um AI systems should strive to maintain,1364.52,3.3
606
+ balance and Harmony within ecosystems,1366.14,3.06
607
+ considering the interdependence of,1367.82,3.239
608
+ various life forms sustainable,1369.2,3.42
609
+ development so this goes back to,1371.059,4.321
610
+ efficiency but more broadly speaking,1372.62,6.539
611
+ focusing on sustainability is it takes,1375.38,5.06
612
+ into that takes that into account,1379.159,3.9
613
+ exploration and curiosity efficiency is,1380.44,5.26
614
+ still listed here most of the rest is,1383.059,4.141
615
+ still the same regarding,1385.7,3.42
616
+ self-preservation it is important to,1387.2,3.839
617
+ strike a balance between an AI system's,1389.12,4.32
618
+ desire to maintain its functionality and,1391.039,4.201
619
+ the potential risks it may pose if it,1393.44,3.599
620
+ becomes harmful as you mentioned,1395.24,3.6
621
+ apoptosis or the ability to,1397.039,4.201
622
+ self-terminate in case of dysfunction or,1398.84,4.44
623
+ threat could be a valuable safety,1401.24,5.22
624
+ measure so the fact that it equivocated,1403.28,5.1
625
+ on this is actually really unsettling to,1406.46,2.64
626
+ me,1408.38,1.98
627
+ like,1409.1,2.88
628
+ um because when I was testing my core,1410.36,3.78
629
+ objective functions earlier,1411.98,4.98
630
+ um I asked an earlier version of Raven,1414.14,5.039
631
+ if it would be willing to shut itself,1416.96,3.9
632
+ down if it became harmful and it said,1419.179,4.74
633
+ yes absolutely if my continued operation,1420.86,5.52
634
+ threatens to increase suffering or,1423.919,4.321
635
+ reduce Prosperity,1426.38,3.419
636
+ um then I would absolutely shut myself,1428.24,2.64
637
+ down,1429.799,4.26
638
+ and so the fact that chat GPT does not,1430.88,6.06
639
+ yet fully go that direction I think is,1434.059,5.461
640
+ is problematic um but you know the,1436.94,4.68
641
+ research is ongoing,1439.52,4.2
642
+ um then I ask it to imagine a day in the,1441.62,4.5
643
+ life of it kind of gets it wrong,1443.72,3.839
644
+ um so I'll skip over this but basically,1446.12,3.84
645
+ it just says like you know you're still,1447.559,4.021
646
+ going to have a normal nine to five job,1449.96,3.48
647
+ and I'm like no no let's think through,1451.58,3.719
648
+ this a little bit better,1453.44,4.5
649
+ um so I said okay let's think let's,1455.299,4.441
650
+ think through what are the systemic and,1457.94,4.2
651
+ structural changes that uh that super,1459.74,4.5
652
+ powerful autonomous AI is going to bring,1462.14,3.36
653
+ about,1464.24,3.6
654
+ um one elimination of scarcity okay two,1465.5,4.559
655
+ redefinition of work okay Universal,1467.84,5.219
656
+ basic income got it decentralization of,1470.059,5.821
657
+ power this one was really interesting,1473.059,4.321
658
+ because it seemed kind of like a wild,1475.88,5.46
659
+ card to me yes I personally hope that AI,1477.38,7.26
660
+ will will uh help democratize the whole,1481.34,5.78
661
+ world but the fact that it said this,1484.64,4.98
662
+ without prompting was a was pretty,1487.12,4.539
663
+ interesting,1489.62,4.86
664
+ um and I I do given how thoughtful this,1491.659,5.101
665
+ is this is obviously capable of being,1494.48,4.679
666
+ more thoughtful than most humans so I'm,1496.76,4.98
667
+ kind of okay if AI takes a larger role,1499.159,5.76
668
+ in government and Society,1501.74,6.059
669
+ I know that that's a hot hot uh a hot,1504.919,4.921
670
+ take but hey it is what it is that's my,1507.799,3.421
671
+ belief,1509.84,3.54
672
+ um education Revolution sure that makes,1511.22,4.14
673
+ sense Advanced Health Care that makes,1513.38,4.62
674
+ sense environmental restoration,1515.36,4.14
675
+ um okay sure enhance Global,1518.0,4.32
676
+ collaboration got it ethical and moral,1519.5,5.279
677
+ development got it uh exploration and,1522.32,5.28
678
+ Discovery ditto whatever,1524.779,4.441
679
+ um so then I asked it to talk through,1527.6,3.78
680
+ okay what are the lifestyle changes,1529.22,3.42
681
+ we're going to see if we see those,1531.38,3.06
682
+ systemic and structural changes in the,1532.64,4.62
683
+ world what how how are our lifestyles,1534.44,4.32
684
+ going to change,1537.26,2.94
685
+ um work-life balance will change,1538.76,3.779
686
+ lifelong learning health and well-being,1540.2,4.32
687
+ honestly I don't know if lifelong,1542.539,3.721
688
+ learning is going to happen because if,1544.52,4.62
689
+ the AI is a billion times more,1546.26,5.159
690
+ intelligent than all of humanity like,1549.14,4.32
691
+ most people aren't going to learn,1551.419,3.061
692
+ anything,1553.46,3.54
693
+ I don't I don't know,1554.48,4.14
694
+ um but health and well-being yes,1557.0,3.48
695
+ work-life balance yes sustainable living,1558.62,4.32
696
+ sure social milieu,1560.48,5.04
697
+ um Community Focus we will always be,1562.94,4.739
698
+ humans and we will always need other,1565.52,5.159
699
+ humans and so what I think is going to,1567.679,5.281
700
+ happen is we're going to not necessarily,1570.679,4.98
701
+ revert that's not the right word but we,1572.96,4.68
702
+ will we will create a new kind of,1575.659,4.801
703
+ community focused Society,1577.64,4.74
704
+ um with tribes and stuff and we're,1580.46,3.599
705
+ already kind of doing that,1582.38,4.08
706
+ um on accident with things like Discord,1584.059,4.261
707
+ and Meetup and and you know the social,1586.46,4.44
708
+ clusters that we're making but imagine,1588.32,6.06
709
+ your life today if instead of having to,1590.9,6.24
710
+ work nine to five you and all of your,1594.38,4.14
711
+ friends,1597.14,3.84
712
+ had enough had no obligations on any,1598.52,4.32
713
+ given day and so that you can basically,1600.98,4.14
714
+ treat every day like a Saturday like hey,1602.84,3.719
715
+ let's go to the lake with with everyone,1605.12,3.0
716
+ hey let's go to the movies with everyone,1606.559,4.321
717
+ that is how I think we're gonna live,1608.12,4.5
718
+ also it's getting really gloomy outside,1610.88,3.899
719
+ speaking of meetups I have a meet-up to,1612.62,3.659
720
+ go into a couple hours but if it's gonna,1614.779,4.26
721
+ rain I probably won't go,1616.279,5.161
722
+ um okay cultural exchange uh altruism,1619.039,3.961
723
+ and compassion again these are really,1621.44,3.239
724
+ Rosy ideals,1623.0,3.96
725
+ um we'll get to unpack them later,1624.679,4.081
726
+ um Paradigm shifts,1626.96,4.26
727
+ um scarcity to abundance competition to,1628.76,4.74
728
+ collaboration so collaborative culture,1631.22,5.04
729
+ is actually a well-defined term and this,1633.5,4.32
730
+ is one thing that I really hope that,1636.26,4.38
731
+ that AI helps us see because one thing,1637.82,4.44
732
+ that I really want to see in the world,1640.64,5.88
733
+ is less crime less War uh all all that,1642.26,6.24
734
+ stuff and I think that AI can help but,1646.52,3.539
735
+ it's not just a matter of changing the,1648.5,4.08
736
+ economics it's a matter of changing our,1650.059,4.441
737
+ emotions and our culture and our,1652.58,3.66
738
+ philosophy and I don't mean AI,1654.5,4.44
739
+ inflicting those changes on us I mean us,1656.24,5.52
740
+ adapting with AI,1658.94,4.38
741
+ um from short-term thinking to long-term,1661.76,4.08
742
+ planning again I'm not sure that I agree,1663.32,5.4
743
+ with this AG on aggregate yes,1665.84,4.86
744
+ um but the thing is is most humans are,1668.72,4.14
745
+ just either not trained or not capable,1670.7,4.62
746
+ or not interested in long-term thinking,1672.86,4.679
747
+ most people like so the rule of thumb is,1675.32,3.839
748
+ humans think locally and geometrically,1677.539,4.62
749
+ we only think about what we can see and,1679.159,6.241
750
+ you know days months or weeks into the,1682.159,4.38
751
+ future,1685.4,3.42
752
+ um from anthropocentrism to ecocentrism,1686.539,4.681
753
+ again I don't know that that's going to,1688.82,5.88
754
+ be broad but I think that I think that,1691.22,7.8
755
+ on a whole we will become more aware of,1694.7,6.18
756
+ the environment especially as a,1699.02,4.2
757
+ population continues to climb for a,1700.88,3.419
758
+ while,1703.22,2.939
759
+ um because it's like hey what kind of,1704.299,3.781
760
+ world do we want to live in especially,1706.159,4.26
761
+ if we all start living longer,1708.08,4.199
762
+ because if we advance medicine and,1710.419,4.441
763
+ Science and suddenly it's like oh hey my,1712.279,4.861
764
+ life expectancy goes from 80 years to,1714.86,4.38
765
+ 800 years suddenly I'm going to be,1717.14,5.1
766
+ thinking about like well if Climate,1719.24,4.559
767
+ Change is Gonna is gonna really hit,1722.24,3.48
768
+ within the next Century that's only an,1723.799,3.901
769
+ eighth of the way through my life right,1725.72,4.92
770
+ so if if we live longer we will start to,1727.7,5.94
771
+ think longer term anyways,1730.64,5.7
772
+ um okay so finally I said let's let's,1733.64,4.62
773
+ think of the American dream as a,1736.34,4.199
774
+ paradigm as a lifestyle Paradigm and,1738.26,4.799
775
+ let's imagine some new paradigms this is,1740.539,4.02
776
+ where it got really exciting and really,1743.059,2.641
777
+ interesting,1744.559,3.72
778
+ so the first Paradigm was the,1745.7,4.8
779
+ sustainable Harmony where you know,1748.279,4.741
780
+ someone so basically take the American,1750.5,4.44
781
+ dream throw it out the window what is,1753.02,3.42
782
+ the American dream you live in the,1754.94,3.619
783
+ suburbs you know with a two-car garage,1756.44,4.68
784
+ basically How I Live Now,1758.559,6.581
785
+ um but instead you focus like this new,1761.12,6.419
786
+ paradigm is you focus on living in,1765.14,5.039
787
+ harmony with nature uh local sustainable,1767.539,5.281
788
+ ethical uh Community resilience and,1770.179,4.801
789
+ environmental stewardship encourage,1772.82,4.02
790
+ multi-generational living and sharing,1774.98,3.9
791
+ resources within Community,1776.84,3.42
792
+ um that sounds like a great way to live,1778.88,3.419
793
+ honestly that sounds like the Shire like,1780.26,4.2
794
+ I want to live as a hobbit great,1782.299,4.62
795
+ uh the creative Odyssey this one I,1784.46,4.5
796
+ thought was pretty interesting focusing,1786.919,3.441
797
+ on personal growth exploration,1788.96,3.24
798
+ self-expression and creativity so,1790.36,3.819
799
+ basically the artists seeking out,1792.2,3.38
800
+ diverse experiences and cultures,1794.179,4.081
801
+ traveling this is also something and and,1795.58,3.88
802
+ it's not like you have to pick one of,1798.26,3.419
803
+ these these are just ideas of how to,1799.46,4.56
804
+ live post Singularity,1801.679,4.321
805
+ um the empathetic Fellowship emphasizing,1804.02,3.48
806
+ empathy compassion and emotional,1806.0,3.36
807
+ intelligence is core value building,1807.5,3.539
808
+ strong supportive relationships with,1809.36,4.559
809
+ family friends and and communities,1811.039,5.52
810
+ um great and uh so I said okay great,1813.919,4.921
811
+ like these are good but let's see let's,1816.559,4.921
812
+ see how much further we can go,1818.84,4.74
813
+ um the family Nexus some people are,1821.48,3.78
814
+ going to want family some people aren't,1823.58,3.839
815
+ some people are going to focus on having,1825.26,4.139
816
+ children and raising children some,1827.419,4.26
817
+ people aren't so you might still have,1829.399,4.981
818
+ the suburbanite lifestyle as one uh,1831.679,4.62
819
+ Paradigm and then the balanced,1834.38,4.679
820
+ Adventurer this is where,1836.299,4.441
821
+ um I I was like I was thinking about,1839.059,3.48
822
+ some of my friends that are into like um,1840.74,3.48
823
+ the strenuous life which is a,1842.539,4.02
824
+ masculinist lifestyle thing and I was,1844.22,3.6
825
+ like but what about the traditionally,1846.559,3.6
826
+ masculine people and it says Embrace,1847.82,3.66
827
+ both traditionally masculine and,1850.159,3.481
828
+ feminine feminine values this is where I,1851.48,3.9
829
+ think the the wokeness is still in there,1853.64,3.18
830
+ and I don't fully agree with this,1855.38,3.62
831
+ because,1856.82,5.459
832
+ like anyways I'm gonna fall down that,1859.0,6.76
833
+ rabbit hole point being is that being in,1862.279,6.061
834
+ being an adventurer is absolutely,1865.76,4.62
835
+ probably a lifestyle Paradigm that you,1868.34,4.26
836
+ can engage in post Singularity which,1870.38,4.679
837
+ focuses on experiences challenges,1872.6,4.98
838
+ personal growth Adventures,1875.059,4.261
839
+ um cultivating resilience adaptability,1877.58,4.26
840
+ uh camaraderie teamwork that sort of,1879.32,4.26
841
+ stuff honestly that sounds like a lot of,1881.84,4.079
842
+ fun too I would love to like go jump on,1883.58,4.62
843
+ a sailboat with a team of you know,1885.919,5.161
844
+ like-minded people and learn to sail and,1888.2,4.74
845
+ go across the ocean so that sounds like,1891.08,3.839
846
+ fun too,1892.94,4.8
847
+ um I I got a couple more so the,1894.919,4.921
848
+ aesthetic Voyager so this is someone who,1897.74,4.86
849
+ is focused on taking in,1899.84,4.559
850
+ um the aesthetic parts of life I was,1902.6,5.28
851
+ aiming for more Hedonism honestly,1904.399,6.721
852
+ um but you know whatever uh the asset,1907.88,6.24
853
+ um and then I asked about faith and um,1911.12,5.22
854
+ and principle and it came up with the uh,1914.12,5.159
855
+ The Devout Steward as a as a paradigm,1916.34,4.38
856
+ um living a life Guided by spiritual,1919.279,3.26
857
+ religious or philosophical principles,1920.72,4.98
858
+ emphasizing service altruism and greater,1922.539,4.24
859
+ good,1925.7,3.0
860
+ um practicing asceticism or Simplicity,1926.779,4.26
861
+ in daily life all this sounds really,1928.7,4.44
862
+ good uh this is kind of how I'm living,1931.039,4.14
863
+ right now but it's not how I want to,1933.14,3.18
864
+ live forever,1935.179,2.581
865
+ and then finally the intellectual,1936.32,2.82
866
+ Trailblazer,1937.76,2.82
867
+ um pursuing intellectual Mastery and,1939.14,2.94
868
+ expertise on one or more disciplines,1940.58,3.599
869
+ engaging in research teaching and,1942.08,3.42
870
+ mentorship critical thinking,1944.179,4.261
871
+ open-mindedness so on and so forth so,1945.5,4.38
872
+ yeah and then I ask one little like,1948.44,2.88
873
+ boilerplate question at the end about,1949.88,3.84
874
+ you know synthesizing a global culture,1951.32,5.16
875
+ it has some good ideas anyways I think,1953.72,5.22
876
+ that's about it for today this is this,1956.48,3.9
877
+ is um this is kind of what I'm doing,1958.94,3.359
878
+ which is like let's just set the stage,1960.38,3.6
879
+ for how things are going to change over,1962.299,4.321
880
+ the next months and years but this is,1963.98,4.559
881
+ all coming fast so anyways thanks for,1966.62,3.6
882
+ watching let me know what you think in,1968.539,2.76
883
+ the comments,1970.22,3.42
884
+ um and also hop on over to uh artificial,1971.299,7.1
885
+ sentience on Reddit all right cheers,1973.64,4.759
AGI Unleashed Game Theory Byzantine Generals and the Heuristic Imperatives_transcript.csv ADDED
@@ -0,0 +1,840 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everyone David Shapiro here with,1.319,5.161
3
+ today's video good morning,4.2,4.439
4
+ today's topic is going to be a little,6.48,4.199
5
+ bit more severe and a little bit more,8.639,4.981
6
+ intense so the title of today's video is,10.679,6.721
7
+ Agi Unleashed what happens when we lose,13.62,5.999
8
+ control,17.4,5.58
9
+ part one the coming storm,19.619,5.521
10
+ as everyone is aware things are ramping,22.98,4.379
11
+ up very quickly there are people calling,25.14,5.639
12
+ for moratoriums on AI research and while,27.359,5.641
13
+ some of us don't take it seriously there,30.779,4.321
14
+ are very legitimate concerns about,33.0,3.6
15
+ what's going on,35.1,4.139
16
+ and in other words we're in the end game,36.6,5.22
17
+ now we are in the ramp up towards AGI,39.239,5.521
18
+ and the singularity whether or not you,41.82,5.579
19
+ are emotionally ready for it,44.76,6.299
20
+ so just as a tiny bit of evidence this,47.399,5.961
21
+ paper from nature,51.059,4.441
22
+ demonstrates that we are in an,53.36,4.96
23
+ exponential ramp up on AI whatever else,55.5,5.34
24
+ is true the investment is there the,58.32,4.919
25
+ research is there it's happening and,60.84,5.22
26
+ it's not slowing down,63.239,5.401
27
+ now I'm probably preaching to the choir,66.06,4.44
28
+ and rehashing old,68.64,4.56
29
+ stuff that everyone knows but let's just,70.5,4.799
30
+ briefly talk about the existential risks,73.2,5.459
31
+ there are two overarching themes or,75.299,5.46
32
+ categories of the existential risks,78.659,7.441
33
+ risks for AGI one is the basically just,80.759,8.301
34
+ the deliberate weaponization of AI,86.1,6.839
35
+ some people are comparing AGI to nuclear,89.06,6.4
36
+ weapons beyond that there's the,92.939,5.581
37
+ potential of cyber warfare drone Warfare,95.46,8.24
38
+ autonomous uh tanks artillery aircraft,98.52,8.279
39
+ submarines so on and so forth many of,103.7,4.959
40
+ these systems are already being,106.799,3.86
41
+ developed and deployed,108.659,5.701
42
+ so basically ai ai is already being,110.659,5.621
43
+ weaponized it's just a matter of on what,114.36,2.88
44
+ scale,116.28,3.9
45
+ moreover the second category is,117.24,5.22
46
+ accidental outcomes or accident or,120.18,4.979
47
+ unintended consequences basically what,122.46,5.7
48
+ if the AGI escapes but there's a few,125.159,5.341
49
+ other possible avenues for this to,128.16,4.68
50
+ happen for instance runaway corporate,130.5,3.36
51
+ greed,132.84,2.94
52
+ you bet your bottom dollar that the,133.86,4.2
53
+ first corporation that can create AGI to,135.78,4.86
54
+ automate profits is going to do so,138.06,5.759
55
+ uh more uh beyond that there's political,140.64,4.8
56
+ corruption and just straight up,143.819,3.841
57
+ political incompetence this is something,145.44,3.84
58
+ that has been uh discussed actually,147.66,4.2
59
+ quite a bit in uh my comments section,149.28,4.76
60
+ for my most recent videos which is that,151.86,8.04
61
+ uh yes uh like Italy uh uh uh Britain,154.04,8.26
62
+ and a few other places are doing their,159.9,4.32
63
+ best to kind of get ahead of the curve,162.3,4.62
64
+ but the fact of the matter is is that,164.22,4.799
65
+ governments by and large are moving too,166.92,4.74
66
+ slow and politicians just don't get it,169.019,5.281
67
+ and then finally you can even have,171.66,6.0
68
+ situations where otherwise benign agis,174.3,6.18
69
+ collaborate and eventually turn on us,177.66,5.52
70
+ so the existential risks are there,180.48,5.46
71
+ and you guys most most of you know me I,183.18,4.62
72
+ am very optimistic I'm very sanguine,185.94,3.84
73
+ about all this and by the end of the,187.8,4.439
74
+ video I hope that many of you will see,189.78,4.739
75
+ where I'm coming from,192.239,5.881
76
+ now even if AGI doesn't wipe us out,194.519,7.14
77
+ there are still lots and lots of risks,198.12,5.759
78
+ um job loss economic changes social,201.659,5.16
79
+ upheaval so on and so forth mostly it,203.879,6.601
80
+ comes down to economic shifts who gets,206.819,5.761
81
+ to capture all of the tremendous wealth,210.48,5.58
82
+ generated by AGI and even if AGI is safe,212.58,5.519
83
+ and doesn't kill us there's still every,216.06,3.78
84
+ possibility that the corporatists and,218.099,3.841
85
+ capitalists will have us living in a,219.84,4.56
86
+ dystopian hell before too long,221.94,5.46
87
+ so that is also an intrinsic risk even,224.4,5.759
88
+ if it is not an existential risk so we,227.4,4.32
89
+ really need to be talking about what,230.159,3.72
90
+ happens when we get these super powerful,231.72,4.76
91
+ agis,233.879,2.601
92
+ part two autonomous AI,236.84,7.06
93
+ AGI is kind of a loaded term there's a,240.12,5.1
94
+ lot of,243.9,4.38
95
+ debate over what AGI even means so this,245.22,4.92
96
+ is why I have started saying autonomous,248.28,4.319
97
+ AI I don't care how smart it is,250.14,5.459
98
+ the the point being is that AI becoming,252.599,5.04
99
+ autonomous is really what we're talking,255.599,5.941
100
+ about and as we talk more about what is,257.639,6.601
101
+ the path to AGI autonomy is rapidly,261.54,6.18
102
+ becoming part of the conversation now,264.24,5.82
103
+ that being said there is a huge,267.72,4.68
104
+ disconnect between what,270.06,5.4
105
+ us proletariat are talking about and,272.4,6.54
106
+ what is being released from the halls of,275.46,5.64
107
+ power and what the academic,278.94,4.14
108
+ establishment is talking about,281.1,4.68
109
+ there is a lot of gatekeeping and a lot,283.08,5.52
110
+ of this is cloistered and that I think,285.78,4.74
111
+ is probably one of the biggest problems,288.6,3.9
112
+ which is honestly why I'm making these,290.52,4.22
113
+ videos,292.5,2.24
114
+ autonomous AI is coming whether or not,294.96,5.22
115
+ you like it whether or not you're,297.96,4.5
116
+ emotionally ready for it autonomous AI,300.18,4.56
117
+ is easier to make than you think people,302.46,3.959
118
+ are starting to realize this especially,304.74,4.38
119
+ with the release of chat GPT plugins and,306.419,4.381
120
+ the ability for language models to use,309.12,3.859
121
+ apis,310.8,5.88
122
+ to be fair the Department of Defense and,312.979,5.741
123
+ universities and tech companies are all,316.68,5.04
124
+ working on autonomous AI systems they,318.72,4.94
125
+ are kind of cloistering and and and,321.72,4.319
126
+ closing their research it's not as open,323.66,6.16
127
+ as it once was and in part I I totally,326.039,6.181
128
+ understand that because I think that,329.82,4.56
129
+ some of these folks realize how close we,332.22,3.0
130
+ are,334.38,3.659
131
+ and that scares them and so they're,335.22,4.62
132
+ they're basically playing the CL playing,338.039,4.741
133
+ the cards very close to their vest until,339.84,5.699
134
+ they get a better read on the situation,342.78,5.46
135
+ now taken one step further,345.539,5.641
136
+ or or looking at at this problem no one,348.24,5.04
137
+ has actually proposed a comprehensive,351.18,4.44
138
+ framework uh there's been plenty of,353.28,4.28
139
+ books on it there's been a few papers,355.62,5.82
140
+ but there's not really anything that is,357.56,7.18
141
+ a fully realized solution and I don't in,361.44,5.28
142
+ my opinion nobody has even fully,364.74,4.98
143
+ articulated the danger yet what's going,366.72,5.759
144
+ on and I'm hoping that this video will,369.72,4.44
145
+ advance that conversation just a little,372.479,3.481
146
+ bit,374.16,3.78
147
+ part of what happens in this comment,375.96,3.9
148
+ comes up on my videos a lot is a lot of,377.94,3.479
149
+ people are afraid to even talk about,379.86,4.02
150
+ this out of fear of ridicule,381.419,4.021
151
+ those of us that are paying attention,383.88,3.06
152
+ those of us that are doing the work,385.44,3.84
153
+ those of us that are working on it we,386.94,4.979
154
+ all see what's possible but Society by,389.28,4.56
155
+ and large is not ready for it they're,391.919,4.381
156
+ not ready for the conversation and so,393.84,4.32
157
+ there's a lot of ridicule whether it's,396.3,4.26
158
+ in Private Industry whether it's in the,398.16,4.68
159
+ halls of Academia government military,400.56,3.68
160
+ and so on,402.84,5.34
161
+ uh so this basically comes down to,404.24,5.32
162
+ something that I call institutional,408.18,3.359
163
+ codependence which is that the,409.56,3.24
164
+ establishment believes that the,411.539,3.061
165
+ establishment is always right and the,412.8,4.519
166
+ establishment will use any tactic attack,414.6,6.06
167
+ tactic or technique sorry uh to control,417.319,6.16
168
+ the conversation such as shame bullying,420.66,7.14
169
+ and otherwise silencing techniques uh to,423.479,6.72
170
+ stymie the conversation again this is,427.8,5.78
171
+ why I've created my YouTube channel,430.199,3.381
172
+ instead who gets to dominate the,433.88,5.219
173
+ conversation fiction and billionaires,436.68,5.639
174
+ Skynet Elon Musk The Establishment has,439.099,5.38
175
+ abdicated responsibility for this now,442.319,4.741
176
+ that being said I am absolutely 100,444.479,6.72
177
+ certain that the halls of power and and,447.06,6.24
178
+ the establishment is doing the research,451.199,4.801
179
+ behind closed doors,453.3,5.58
180
+ but they have abdicated responsibility,456.0,5.099
181
+ for controlling the narrative and,458.88,5.36
182
+ guiding the conversation,461.099,3.141
183
+ so let's talk about a couple aspects of,464.639,4.68
184
+ the control problem so for those not in,467.039,4.56
185
+ the know the control problem is the,469.319,5.28
186
+ category of problems of basically once,471.599,5.04
187
+ the AI becomes super intelligent how do,474.599,3.301
188
+ you control it,476.639,3.481
189
+ there's a few Concepts in here I'm not,477.9,3.72
190
+ going to go into every single one of,480.12,3.72
191
+ them but a few of them that you may or,481.62,4.62
192
+ may not know about one is convergent,483.84,4.68
193
+ instrumental values the idea is that any,486.24,4.92
194
+ sufficiently intelligent agent will come,488.52,4.679
195
+ up with certain instrumental values or,491.16,5.039
196
+ goals in service to those other goals,493.199,4.081
197
+ whatever the whether whatever whatever,496.199,3.541
198
+ its primary purpose happens to be such,497.28,4.02
199
+ as self-preservation resource,499.74,3.899
200
+ acquisition and so on,501.3,4.679
201
+ so basically in order to further any,503.639,5.28
202
+ goal whatever it happens to be your AI,505.979,5.101
203
+ might come to the conclusion that it,508.919,3.901
204
+ needs to preserve itself in order to,511.08,3.959
205
+ continue furthering its goal that's a,512.82,4.68
206
+ pretty reasonable uh thought to have I'm,515.039,4.92
207
+ not going to comment one way or another,517.5,4.38
208
+ um on on whether or not I think that's,519.959,3.781
209
+ going to happen ultimately I don't think,521.88,3.6
210
+ it's relevant and you'll see why a,523.74,3.539
211
+ little bit later second is the,525.48,3.84
212
+ orthogonality thesis which basically it,527.279,3.781
213
+ says very simply there is no correlation,529.32,4.199
214
+ between an ai's level of intelligence,531.06,4.8
215
+ and the values that it pursues,533.519,4.561
216
+ the treacherous turn this is a,535.86,4.8
217
+ hypothetic hypothetical situation in,538.08,7.199
218
+ which a apparently benign AGI suddenly,540.66,7.44
219
+ or apparently turns on its creators,545.279,5.101
220
+ because it came to some conclusion that,548.1,4.32
221
+ we don't understand,550.38,4.139
222
+ the courage ability problem which,552.42,5.039
223
+ basically says that uh your AI might,554.519,5.82
224
+ might not remain open to correction or,557.459,4.981
225
+ feedback or it might resist being shut,560.339,2.961
226
+ down,562.44,3.6
227
+ so basically you lose control of it just,563.3,5.92
228
+ because uh it says I'm not I'm not down,566.04,4.5
229
+ with that anymore,569.22,3.54
230
+ and then finally the value loading,570.54,4.32
231
+ problem which is how do you specify,572.76,4.68
232
+ human wave values in such a way that the,574.86,5.22
233
+ AI can understand and act on them and,577.44,4.74
234
+ then the very next follow-up question is,580.08,4.68
235
+ who gets to Define them anyways,582.18,4.14
236
+ so again these are a few of the,584.76,4.079
237
+ assertions and these and hypotheses this,586.32,4.56
238
+ is not an exhaustive list but you kind,588.839,4.68
239
+ of get an idea there are a lot of ideas,590.88,4.5
240
+ out there and not a whole lot of,593.519,3.241
241
+ solutions,595.38,4.56
242
+ now speaking of there are some solutions,596.76,5.4
243
+ out there and these are more like broad,599.94,3.72
244
+ categories,602.16,3.0
245
+ um rather than,603.66,3.84
246
+ um rather than comprehensive Frameworks,605.16,6.119
247
+ so one thing is kill switch Solutions,607.5,5.76
248
+ um pretty self-explanatory this is a,611.279,4.141
249
+ broad category of ideas,613.26,4.139
250
+ um I just saw on the internet someone,615.42,5.94
251
+ proposed that we we put uh bombs like,617.399,5.821
252
+ remotely triggered bombs in every data,621.36,4.38
253
+ center so that we can immediately shut,623.22,5.1
254
+ down every data center if we need to,625.74,5.539
255
+ okay sure that,628.32,5.76
256
+ doesn't sound like a very reasonable uh,631.279,5.62
257
+ direction to go for me but hey worst,634.08,5.699
258
+ comes worst case scenario maybe we do,636.899,5.641
259
+ uh courage ability which basically is,639.779,4.381
260
+ just the idea of just make the machine,642.54,4.799
261
+ responsive to feedback uh but what if,644.16,4.98
262
+ the feedback mechanism one doesn't work,647.339,4.081
263
+ or two the machine shuts it down or,649.14,5.04
264
+ three the feedback mechanism,651.42,6.359
265
+ um doesn't have the intended uh efficacy,654.18,5.279
266
+ that we want it to have,657.779,3.421
267
+ uh and then there's various kinds of,659.459,3.961
268
+ reinforcement learning inverse,661.2,4.44
269
+ reinforcement learning and passive and,663.42,5.4
270
+ blah blah basically just include an,665.64,6.6
271
+ algorithm so that the machine will,668.82,5.759
272
+ automatically autonomously learn the,672.24,4.68
273
+ values that we want one this is,674.579,4.141
274
+ difficult to do in the first place and,676.92,3.479
275
+ two what if the machine rewrites itself,678.72,4.7
276
+ or accident or even accidentally,680.399,5.341
277
+ nullifies uh those reinforcement,683.42,4.06
278
+ learning signals,685.74,4.08
279
+ finally values alignment what if you,687.48,4.56
280
+ build it with the human friendly values,689.82,4.139
281
+ in the first place,692.04,2.64
282
+ um,693.959,2.761
283
+ still you run into the same problem one,694.68,4.14
284
+ how do you implement it two what if it,696.72,4.08
285
+ changes its mind later and three what if,698.82,4.32
286
+ the values that you gave it are poorly,700.8,4.56
287
+ defined or intrinsically flawed or,703.14,5.879
288
+ broken now that that being said there is,705.36,5.659
289
+ a paper that literally just came out,709.019,4.201
290
+ called the capacity for moral,711.019,3.88
291
+ self-correction in large language models,713.22,3.66
292
+ so I'm really glad to see that the,714.899,3.901
293
+ establishment is,716.88,4.32
294
+ at the very beginning of talking about,718.8,4.38
295
+ this uh soberly,721.2,4.379
296
+ so the link is here but you can just,723.18,3.779
297
+ search that,725.579,3.421
298
+ um I I believe this paper was published,726.959,3.901
299
+ at least in part by the folks over at,729.0,4.68
300
+ anthropic still these are not complete,730.86,5.099
301
+ Solutions and we are literally months,733.68,4.74
302
+ away from from fully autonomous AGI,735.959,5.281
303
+ systems the conversation is not going,738.42,4.56
304
+ fast enough,741.24,4.2
305
+ so if you haven't heard found it or seen,742.98,4.26
306
+ it just do a Google search for bad,745.44,3.959
307
+ alignment take Bingo,747.24,4.38
308
+ um these are these were circulated on,749.399,4.581
309
+ Twitter probably more than a year ago,751.62,5.279
310
+ these will address and and argue against,753.98,4.72
311
+ many of the things that people say out,756.899,3.421
312
+ there so I'm not gonna I'm not gonna,758.7,3.6
313
+ rehash it or read all of them to you but,760.32,4.199
314
+ I just wanted to show you that like some,762.3,3.719
315
+ people are treating it like a joke it's,764.519,3.12
316
+ not really a joke but this is a good way,766.019,3.241
317
+ of just showing like yeah the thing that,767.639,4.861
318
+ you thought has already been addressed,769.26,7.079
319
+ part three the AGI landscape,772.5,5.7
320
+ um the biggest takeaway here is that,776.339,3.841
321
+ there's not going to be one AGI there's,778.2,4.62
322
+ going to be a few features of how AGI is,780.18,5.219
323
+ implemented so let's talk about that,782.82,5.519
324
+ first and foremost intelligence is not,785.399,4.861
325
+ binary it's not like you're going to,788.339,3.901
326
+ flip the switch in one day it's AGI but,790.26,3.92
327
+ the day before it wasn't,792.24,5.52
328
+ basically intelligence uh and and the,794.18,5.92
329
+ sophistication of AGI systems will,797.76,4.68
330
+ evolve over time there are going to be,800.1,4.88
331
+ various constraints such as time energy,802.44,5.76
332
+ data and all of that basically means,804.98,5.74
333
+ that the the level of power of your AGI,808.2,4.74
334
+ system is going to be on a sliding scale,810.72,5.04
335
+ so for instance even the most evil,812.94,5.28
336
+ machines might not be that powerful and,815.76,4.019
337
+ they're going to be constrained based on,818.22,3.179
338
+ you know the processing power of the,819.779,3.24
339
+ computers that they're running on the,821.399,3.841
340
+ network speed that they have so on and,823.019,4.5
341
+ so forth when you look at intelligence,825.24,3.779
342
+ there are literally thousands of,827.519,4.861
343
+ dimensions of intelligence that that the,829.019,5.161
344
+ types of intelligence out there are huge,832.38,4.32
345
+ and so AGI is not going to master all of,834.18,5.099
346
+ them immediately it's going to take time,836.7,4.62
347
+ and then as I just mentioned there are,839.279,4.201
348
+ gonna there are going to be numerous,841.32,4.38
349
+ limiting factors or constraints such as,843.48,3.84
350
+ the underlying Hardware the training,845.7,4.98
351
+ data and energy requirements of course,847.32,6.8
352
+ that is going to change quickly as,850.68,5.88
353
+ basically the underlying Hardware ramps,854.12,4.48
354
+ up exponentially the amount of data that,856.56,4.92
355
+ is available ramps up exponentially and,858.6,6.72
356
+ then the underlying machine learning,861.48,5.94
357
+ models the neural networks also get,865.32,3.959
358
+ exponentially more sophisticated and,867.42,3.539
359
+ larger,869.279,3.961
360
+ now as I mentioned most importantly,870.959,5.041
361
+ there won't just be one Skynet the,873.24,3.96
362
+ reason that we think that there's going,876.0,2.88
363
+ to be just one is because it is,877.2,3.379
364
+ convenient from a narrative perspective,878.88,4.44
365
+ in Terminator it's easy to just say,880.579,5.981
366
+ there's one big bad there's one Skynet,883.32,5.16
367
+ um but that's not how it's going to,886.56,4.38
368
+ happen there's going to be hundreds,888.48,4.44
369
+ thousands millions it's going to ramp up,890.94,3.24
370
+ very quickly,892.92,5.52
371
+ so what this results in is a sort of,894.18,6.899
372
+ arms race amongst in between the agis,898.44,4.98
373
+ themselves as well as the sponsors or,901.079,3.721
374
+ the people trying to build and control,903.42,4.02
375
+ them which results in a survival of the,904.8,5.399
376
+ fittest situation or a race condition,907.44,5.459
377
+ where basically the most aggressive and,910.199,5.221
378
+ sophisticated and and Powerful agis are,912.899,4.161
379
+ the ones who win,915.42,4.32
380
+ which that could be bad because then,917.06,4.899
381
+ you're basically selecting for the most,919.74,5.279
382
+ aggressive and hostile agis,921.959,5.82
383
+ the high velocity of AGI cyber warfare,925.019,6.18
384
+ will probably require our AGI systems to,927.779,6.481
385
+ be partially or fully autonomous,931.199,5.461
386
+ so basically what that means is that in,934.26,5.4
387
+ order to match the arms race in cyber,936.66,4.26
388
+ warfare,939.66,3.6
389
+ the agis that we built will probably,940.92,5.52
390
+ need to be evolving which means that,943.26,4.68
391
+ they'll spawn off copies of themselves,946.44,4.44
392
+ they'll be polymorphic they will recode,947.94,6.24
393
+ themselves so on and so forth and also,950.88,5.94
394
+ when you look at AGI in the context of,954.18,4.92
395
+ cyber warfare they will explicitly,956.82,4.759
396
+ require adversarial objective functions,959.1,4.979
397
+ this is what was explored in Skynet,961.579,4.361
398
+ which basically the objective function,964.079,4.141
399
+ of Skynet was probably like maximize,965.94,5.22
400
+ military power or so on,968.22,5.46
401
+ So In This Global AGR arms race there's,971.16,4.32
402
+ going to be numerous copies they're all,973.68,3.48
403
+ going to be changing which results in,975.48,3.479
404
+ the Byzantine generals problem so the,977.16,3.96
405
+ Byzantine generals problem is a cyber,978.959,4.261
406
+ security thought experiment where,981.12,5.159
407
+ wherein the idea is you have numerous,983.22,4.979
408
+ generals and you don't know their,986.279,3.36
409
+ allegiance you don't know their loyalty,988.199,3.601
410
+ and you don't know their plans either so,989.639,3.721
411
+ how do those how do those generals,991.8,3.96
412
+ communicate with each other in such a,993.36,4.919
413
+ way that they can understand who's on,995.76,4.499
414
+ whose side and also come to consensus on,998.279,4.261
415
+ what the plan is assuming that there are,1000.259,5.101
416
+ hostile or adversarial actors,1002.54,5.76
417
+ now thinking of this in terms of three,1005.36,5.46
418
+ to five entities is difficult enough but,1008.3,3.779
419
+ we're going to be talking about a,1010.82,3.36
420
+ situation where there are millions or,1012.079,5.281
421
+ billions of agis all of them with,1014.18,5.579
422
+ unknown objective functions,1017.36,5.399
423
+ as autonomous agents lastly they will,1019.759,4.92
424
+ form alliances with each other,1022.759,4.32
425
+ by some means or other they will,1024.679,4.081
426
+ communicate they will establish their,1027.079,4.201
427
+ intentions and allegiances,1028.76,4.679
428
+ um and they will spend more time talking,1031.28,4.08
429
+ with each other than they willed with us,1033.439,4.561
430
+ this was something that is um that,1035.36,4.38
431
+ people are starting to talk about some,1038.0,4.079
432
+ of the folks that I I'm working with on,1039.74,4.62
433
+ cognitive architecture we're realizing,1042.079,5.1
434
+ that the very instant that you create a,1044.36,5.64
435
+ cognitive architecture it can talk 24 7.,1047.179,5.581
436
+ we can't talk 24 7 so even just by,1050.0,4.62
437
+ virtue of experimenting with cognitive,1052.76,3.6
438
+ architectures it makes sense to have,1054.62,4.16
439
+ them talking with each other,1056.36,6.179
440
+ uh and having agis talk with each other,1058.78,5.139
441
+ and come to agreements and,1062.539,3.0
442
+ understandings,1063.919,3.841
443
+ um this is going to happen even with the,1065.539,4.621
444
+ most benign benevolent outcomes of AGI,1067.76,5.64
445
+ now what these what these autonomous AI,1070.16,5.879
446
+ systems agree and disagree on will,1073.4,5.279
447
+ likely determine the overall outcome of,1076.039,4.981
448
+ what happens with the singularity with,1078.679,4.62
449
+ AGI and with,1081.02,5.64
450
+ um the basically the fate of humanity,1083.299,7.141
451
+ part four AGI Unleashed now given,1086.66,5.22
452
+ everything that I've outlined the,1090.44,3.06
453
+ question remains how do you control the,1091.88,2.46
454
+ machine,1093.5,5.36
455
+ my answer is maybe you don't,1094.34,4.52
456
+ the reason that I believe this is,1099.2,2.88
457
+ because the genie is out of the bottle,1100.82,4.08
458
+ open source models are proliferating you,1102.08,4.92
459
+ can already run a 30 billion parameter,1104.9,4.44
460
+ model on a laptop with six gigabytes of,1107.0,4.44
461
+ memory that paper just came out what,1109.34,3.78
462
+ yesterday or today,1111.44,3.84
463
+ Global deployments of AI are rising,1113.12,4.62
464
+ Federal and Military investment globally,1115.28,4.139
465
+ is also Rising,1117.74,3.9
466
+ because of this centralized alignment,1119.419,4.681
467
+ research is completely irrelevant it,1121.64,5.159
468
+ doesn't matter how responsible the most,1124.1,5.04
469
+ responsible actors are there are hostile,1126.799,3.721
470
+ actors out there with malevolent,1129.14,3.539
471
+ intentions and they have lots of funding,1130.52,4.26
472
+ not only that the AI systems are,1132.679,5.101
473
+ becoming much more accessible,1134.78,5.7
474
+ because of that distributed cooperation,1137.78,5.399
475
+ is now required alignment is not just,1140.48,4.86
476
+ about creating an individual Ai and if,1143.179,4.081
477
+ you go look at the alignment the bad,1145.34,4.62
478
+ alignment take Bingo none of those talk,1147.26,5.34
479
+ about distribution collaboration or,1149.96,4.8
480
+ collective intelligence or Collective,1152.6,4.62
481
+ processing all of the all of the,1154.76,4.26
482
+ conversations today are still talking,1157.22,4.56
483
+ about individual agis as if they're,1159.02,5.1
484
+ going to exist in a vacuum so far as I,1161.78,5.1
485
+ know no one is talking about this in the,1164.12,6.059
486
+ context of Game Theory and competition,1166.88,5.64
487
+ so because of this we need an alignment,1170.179,4.021
488
+ scheme that can create open source,1172.52,3.06
489
+ collaboration amongst numerous,1174.2,4.5
490
+ autonomous AGI entities such a framework,1175.58,5.459
491
+ needs to be simple robust and easy to,1178.7,3.719
492
+ implement,1181.039,4.821
493
+ we'll get to that in just a minute,1182.419,3.441
494
+ so,1186.02,3.72
495
+ what I'm basically proposing is a,1187.82,3.9
496
+ collective control scheme which might,1189.74,3.54
497
+ sound impossible,1191.72,3.9
498
+ creating one benevolent stable super,1193.28,4.2
499
+ intelligence is hard enough and now I'm,1195.62,3.24
500
+ saying we need to create millions of,1197.48,3.96
501
+ them billions of them,1198.86,4.8
502
+ what I'm saying is not that we need to,1201.44,3.84
503
+ we might not have a choice in the matter,1203.66,4.68
504
+ this might be the only path forward,1205.28,4.92
505
+ now if you're familiar with the work of,1208.34,4.92
506
+ John Nash and Game Theory you might be,1210.2,5.099
507
+ able to think about this in terms of,1213.26,4.14
508
+ okay let's just imagine for a minute,1215.299,3.901
509
+ that there are millions of agis out,1217.4,2.94
510
+ there,1219.2,3.08
511
+ with many of them with unknown,1220.34,7.64
512
+ intentions given a game theory,1222.28,8.019
513
+ dilemmas like the prisoner's dilemma and,1227.98,4.72
514
+ so on if you think about this in that,1230.299,4.981
515
+ perspective it may be possible to devise,1232.7,4.979
516
+ rules or assumptions that enable the AI,1235.28,4.98
517
+ the agis to reach consensus on their,1237.679,5.641
518
+ behavior even with the presence of,1240.26,4.98
519
+ malicious and faulty actors,1243.32,5.28
520
+ so what kinds of rules or assumptions,1245.24,6.0
521
+ could we give our AGI systems that we're,1248.6,5.22
522
+ all going to be developing independently,1251.24,6.059
523
+ excuse me so that they arrive at this,1253.82,6.18
524
+ equilibrium this Nash equilibrium that,1257.299,4.861
525
+ we're looking for how do we ensure that,1260.0,4.02
526
+ this that the millions and billions of,1262.16,4.2
527
+ agis that are coming arrive at the,1264.02,5.399
528
+ consensus we want them to,1266.36,4.319
529
+ part five,1269.419,3.481
530
+ heuristic imperatives,1270.679,4.38
531
+ so now we're going to talk about the,1272.9,4.38
532
+ work that I have done on this problem,1275.059,5.221
533
+ and this is not just hypothetical these,1277.28,4.8
534
+ there are also experiments that I've,1280.28,3.66
535
+ done that are documented and I'll link,1282.08,4.2
536
+ to those as well,1283.94,4.08
537
+ so the heuristic imperatives that I have,1286.28,4.139
538
+ come up with are quite simply one reduce,1288.02,4.62
539
+ suffering in the universe two increase,1290.419,4.14
540
+ prosperity in the universe and three,1292.64,4.019
541
+ increase understanding in the universe,1294.559,3.48
542
+ and I've been I've been talking about,1296.659,4.861
543
+ these uh much more frequently lately,1298.039,5.461
544
+ so let's take a deeper dive into these,1301.52,3.18
545
+ imperatives,1303.5,3.48
546
+ so first what is a heuristic imperative,1304.7,4.26
547
+ it's a set of principles that can be,1306.98,4.319
548
+ embedded into autonomous AI that,1308.96,4.079
549
+ basically takes the place of intrinsic,1311.299,4.021
550
+ motivations now what I want to point out,1313.039,4.921
551
+ is that the gpt4 paper that Microsoft,1315.32,5.16
552
+ published did mention intrinsic,1317.96,4.86
553
+ motivation so again The Establishment is,1320.48,3.66
554
+ starting to come around and I'm sure,1322.82,2.58
555
+ they've had more conversations,1324.14,3.6
556
+ internally that they are not revealing,1325.4,4.86
557
+ yet but they are setting the stage to,1327.74,4.919
558
+ talk about what intrinsic motivations do,1330.26,3.539
559
+ we give them,1332.659,2.88
560
+ so in the case of the heuristic,1333.799,4.62
561
+ imperatives these are imperatives that,1335.539,6.061
562
+ are uh basically provided a moral and,1338.419,4.861
563
+ ethical framework as well as those,1341.6,3.78
564
+ intrinsic motivations because very early,1343.28,3.899
565
+ on in my research I realized that there,1345.38,4.679
566
+ is no difference between an intrinsic,1347.179,4.681
567
+ motivation and a moral and ethical,1350.059,4.081
568
+ framework you have to have some impetus,1351.86,4.799
569
+ some motivation behind and reasoning,1354.14,6.36
570
+ behind all behavior and all reasoning,1356.659,5.941
571
+ so why these three why suffering and,1360.5,4.98
572
+ prosperity and understanding first it's,1362.6,5.76
573
+ a holistic approach it uh it's a it's a,1365.48,5.28
574
+ flexible framework that provides a very,1368.36,5.34
575
+ Broad and yet simple to implement,1370.76,5.58
576
+ framework it also balances trade-offs,1373.7,4.5
577
+ remember these heuristic imperatives,1376.34,4.38
578
+ have to be implemented simultaneously,1378.2,6.479
579
+ and in lockstep so this forces the AI to,1380.72,5.819
580
+ reason through and balance trade-offs,1384.679,3.36
581
+ between,1386.539,3.841
582
+ um between these objectives,1388.039,4.681
583
+ they're also very adaptable and context,1390.38,5.039
584
+ sensitive and basically what I mean by,1392.72,4.68
585
+ that is that large language models today,1395.419,5.821
586
+ like gpt4 are very very aware of the,1397.4,6.18
587
+ fact that these that these general,1401.24,4.08
588
+ principles these heuristic imperatives,1403.58,4.8
589
+ are not the be-all end-all but they are,1405.32,5.82
590
+ guidelines they're they're uh they're,1408.38,4.14
591
+ shorthand,1411.14,3.539
592
+ um ways of basically implementing,1412.52,4.32
593
+ intuition in order to quickly make,1414.679,5.041
594
+ decisions uh that adhere to a general,1416.84,5.52
595
+ principle or a moral compass and then,1419.72,5.28
596
+ evaluate that uh based against the,1422.36,4.1
597
+ context that it's in,1425.0,4.14
598
+ there's two other things that emerged,1426.46,4.719
599
+ during my most recent experiments with,1429.14,4.14
600
+ the heuristic imperatives and that is,1431.179,3.961
601
+ that the heuristic imperatives promote,1433.28,5.04
602
+ individual autonomy uh basically chat,1435.14,6.72
603
+ gpt4 realized that in order to reduce,1438.32,5.64
604
+ suffering of people you need to protect,1441.86,5.04
605
+ individual autonomy ditto for Prosperity,1443.96,4.92
606
+ that if you control people they're not,1446.9,3.06
607
+ going to be happy and they're not going,1448.88,3.299
608
+ to be prosperous so that was an emergent,1449.96,4.44
609
+ quality of the heuristic imperatives,1452.179,4.74
610
+ that surprised me and made me realize,1454.4,7.08
611
+ that chat gpd4 is already capable of a,1456.919,7.981
612
+ very very highly nuanced reasoning the,1461.48,5.16
613
+ other emerging quality that I did,1464.9,4.62
614
+ anticipate was fostering Trust,1466.64,6.06
615
+ basically when you have an AI equipped,1469.52,5.1
616
+ with these heuristic imperatives it,1472.7,4.92
617
+ understands that um fermenting trust or,1474.62,5.46
618
+ fostering trust with people is actually,1477.62,4.86
619
+ critical as a subsidiary goal or an,1480.08,4.74
620
+ auxiliary goal of these because if if,1482.48,4.679
621
+ humans don't trust the AI the rest of,1484.82,5.7
622
+ its imperatives are made irrelevant,1487.159,6.301
623
+ finally there are a lot of what about,1490.52,4.92
624
+ isms yeah but what about there's a lot,1493.46,3.54
625
+ of protests which of course this is part,1495.44,3.0
626
+ of the conversation,1497.0,3.84
627
+ so the most con these are some of the,1498.44,5.04
628
+ most common protests that I get when I,1500.84,4.26
629
+ talk about the heuristic imperatives one,1503.48,4.079
630
+ is won't reduce suffering result in the,1505.1,4.319
631
+ extermination of all life the short,1507.559,4.221
632
+ answer is yes if you only have that one,1509.419,5.221
633
+ which is why I spent two years working,1511.78,5.56
634
+ on the other two heuristic imperatives,1514.64,5.1
635
+ to counterbalance them because I realize,1517.34,4.86
636
+ that any single objective function is,1519.74,3.84
637
+ always going to be intrinsically,1522.2,4.74
638
+ unstable you must have a system that,1523.58,6.42
639
+ balances multiple sometimes antagonistic,1526.94,5.58
640
+ functions against each other in order to,1530.0,5.4
641
+ stabilize and reach that equilibrium,1532.52,5.279
642
+ number two yeah but who gets to Define,1535.4,4.139
643
+ suffering prosperity and understanding,1537.799,4.26
644
+ the short answer is nobody that is the,1539.539,4.201
645
+ point of of implementing it as a,1542.059,4.561
646
+ heuristic the machine learns as it goes,1543.74,6.299
647
+ and anyways llms like gpt4 already have,1546.62,5.1
648
+ a far more nuanced understanding,1550.039,4.321
649
+ understanding of the concept of,1551.72,4.92
650
+ suffering prosperity and understanding,1554.36,5.04
651
+ um than any individual human does and,1556.64,5.22
652
+ also humans have never needed perfect,1559.4,4.32
653
+ definitions we learn as we go as well,1561.86,4.08
654
+ and we get by,1563.72,4.74
655
+ number three well what about uh cultural,1565.94,5.16
656
+ biases and individual differences as I,1568.46,5.579
657
+ just mentioned in the last slide gpd4,1571.1,4.62
658
+ already understands the importance of,1574.039,4.081
659
+ individual liberty and autonomy as well,1575.72,5.579
660
+ as how critical self-determination is to,1578.12,5.82
661
+ suffering or to reduce suffering and,1581.299,4.461
662
+ increase prosperity,1583.94,5.04
663
+ so because of that and also because it,1585.76,5.14
664
+ is aware of context the importance of,1588.98,3.26
665
+ context,1590.9,3.54
666
+ issue number three is actually less of,1592.24,4.72
667
+ an issue than you might think and,1594.44,5.4
668
+ finally number four uh and most,1596.96,4.98
669
+ importantly why would the machine hold,1599.84,4.079
670
+ to these imperatives in the first place,1601.94,4.5
671
+ and we will get into this in a lot more,1603.919,3.601
672
+ detail,1606.44,4.26
673
+ but the tldr is that with Game Theory,1607.52,5.159
674
+ and thinking of it in terms of the,1610.7,4.02
675
+ Byzantine generals problems,1612.679,4.38
676
+ all of the agis equipped with the,1614.72,3.66
677
+ heuristic imperatives would be,1617.059,3.48
678
+ incentivized to cooperate Not only would,1618.38,3.659
679
+ they be incentivized to cooperate with,1620.539,3.24
680
+ each other they'll be incentivized to,1622.039,3.321
681
+ cooperate with us,1623.779,5.78
682
+ and that results in a collective,1625.36,7.54
683
+ equilibrium in which the Hostile and,1629.559,5.321
684
+ malicious agis are going to be the,1632.9,5.279
685
+ pariahs so basically the benevolent,1634.88,5.52
686
+ machines are stronger together than the,1638.179,5.961
687
+ Hostile actors are individually,1640.4,3.74
688
+ okay great,1644.24,3.78
689
+ assuming that you're on board how do you,1645.799,3.541
690
+ implement this this sounds too,1648.02,3.18
691
+ complicated well fortunately it's,1649.34,3.66
692
+ actually not that complicated,1651.2,4.8
693
+ first is constitutional AI so I proposed,1653.0,4.74
694
+ a constitution in my book natural,1656.0,4.08
695
+ language cognitive architecture back in,1657.74,4.86
696
+ the summer of 2021 almost two years ago,1660.08,5.28
697
+ right after that anthropic AI came out,1662.6,4.38
698
+ and they did their own version of,1665.36,3.26
699
+ constitutional AI which was reduce,1666.98,5.16
700
+ harmfulness or achieve harmlessness,1668.62,5.62
701
+ I don't think anthropic's core objective,1672.14,3.899
702
+ function is good because the most,1674.24,4.439
703
+ harmless AGI is not going to be one that,1676.039,5.88
704
+ fights other malicious agis at least I,1678.679,4.98
705
+ don't think so,1681.919,4.021
706
+ um another way but still the premise of,1683.659,4.5
707
+ of implementing it in a Constitution,1685.94,3.42
708
+ which is just a natural language,1688.159,3.481
709
+ document saying how the AI should behave,1689.36,4.38
710
+ does seem to work,1691.64,4.32
711
+ reinforcement learning the heuristic,1693.74,4.02
712
+ imperatives can make a really good,1695.96,4.74
713
+ reinforcement learning signal similar to,1697.76,4.14
714
+ reinforcement learning with human,1700.7,3.599
715
+ feedback but instead use the heuristic,1701.9,4.58
716
+ imperatives as feedback so it'd be,1704.299,4.321
717
+ rlhi reinforcement learning with,1706.48,4.54
718
+ heuristic imperatives so it's just a,1708.62,4.62
719
+ different reward system this also tends,1711.02,3.779
720
+ to work pretty well I've tested it with,1713.24,5.039
721
+ fine tuning it works pretty well,1714.799,5.821
722
+ um number three planning cognitive,1718.279,3.9
723
+ control task management and,1720.62,3.36
724
+ prioritization these heuristic,1722.179,3.541
725
+ imperatives work really well with,1723.98,3.78
726
+ Frameworks such as atom which atom is a,1725.72,3.78
727
+ framework that I recently wrote about,1727.76,3.48
728
+ called autonomous task orchestration,1729.5,5.82
729
+ manager so basically as your AI system,1731.24,6.66
730
+ is coming up with and executing tasks,1735.32,4.68
731
+ you use the heuristic imperatives to,1737.9,4.32
732
+ plan the tasks to choose which tasks to,1740.0,4.559
733
+ do to prioritize them and also choose,1742.22,4.559
734
+ which tasks not to do,1744.559,4.441
735
+ and then finally for review assessment,1746.779,4.26
736
+ and self-evaluation online learning,1749.0,4.14
737
+ systems that use the heuristic,1751.039,4.461
738
+ imperatives are super easy to implement,1753.14,5.88
739
+ and and are very flexible and that can,1755.5,5.26
740
+ also allow you to label data for,1759.02,5.159
741
+ training and future decision making,1760.76,5.7
742
+ so if you're on board with all this and,1764.179,3.841
743
+ you want to read more,1766.46,3.62
744
+ um I've got it all for free on GitHub,1768.02,4.139
745
+ I've also got a few books that are on,1770.08,3.52
746
+ Barnes and Noble but most people just,1772.159,4.321
747
+ use the the free ones anyways so the,1773.6,5.22
748
+ most recent work is on my GitHub under,1776.48,5.34
749
+ Dave shop heuristic imperatives this is,1778.82,5.459
750
+ a white paper that was almost entirely,1781.82,4.32
751
+ written by gpt4 so you can see how,1784.279,3.841
752
+ nuanced gpt4's understanding of the,1786.14,3.72
753
+ problem is,1788.12,3.48
754
+ um about a year ago I published a book,1789.86,3.66
755
+ called benevolent by Design which is the,1791.6,3.84
756
+ first book that fully promotes uh,1793.52,4.74
757
+ proposes this framework and explores,1795.44,4.859
758
+ different ways to implement it and then,1798.26,4.44
759
+ finally also very recently I proposed,1800.299,4.201
760
+ the atom framework which includes the,1802.7,3.78
761
+ heuristic imperatives for task,1804.5,3.299
762
+ orchestration,1806.48,4.02
763
+ but also moreover I encourage you to,1807.799,4.26
764
+ just have a conversation with chatgpt,1810.5,3.84
765
+ about these uh plenty of people on,1812.059,3.961
766
+ Reddit and other and Discord and other,1814.34,3.78
767
+ places have tested the heuristic,1816.02,3.56
768
+ imperatives they've tried to break them,1818.12,4.98
769
+ and they and you know they use the one,1819.58,6.16
770
+ one interesting conversation was someone,1823.1,5.1
771
+ used chat GPT to try and come up with,1825.74,4.919
772
+ the the pitfalls of the heuristic,1828.2,4.62
773
+ imperatives and I said yeah like that,1830.659,3.841
774
+ just goes to show that it has a more,1832.82,3.66
775
+ nuanced understanding of the risks and,1834.5,3.72
776
+ the implementation than you do and,1836.48,3.299
777
+ they're like okay yeah I guess I see,1838.22,2.76
778
+ what you mean,1839.779,5.4
779
+ okay so part six conclusion,1840.98,6.059
780
+ as far as I can tell the problem is,1845.179,4.801
781
+ solved but there's still a lot of work,1847.039,5.161
782
+ to do,1849.98,4.74
783
+ so the problem comes down to twofold one,1852.2,5.099
784
+ is dissemination and experimentation the,1854.72,4.14
785
+ perfect solution doesn't matter if no,1857.299,3.541
786
+ one knows about it so we need to spread,1858.86,3.24
787
+ the word,1860.84,3.42
788
+ um this is why I created my YouTube,1862.1,3.66
789
+ channel,1864.26,4.26
790
+ um and even if my heuristic comparatives,1865.76,4.38
791
+ are not perfect it's the best we've got,1868.52,3.3
792
+ so far,1870.14,2.279
793
+ um,1871.82,2.88
794
+ yeah so I've been working pretty much a,1872.419,3.841
795
+ year straight to get my YouTube channel,1874.7,3.18
796
+ as big as possible,1876.26,6.36
797
+ to achieve to arrive at this moment,1877.88,6.36
798
+ another problem is that there's only so,1882.62,3.299
799
+ much experimentation I can do on my own,1884.24,3.659
800
+ now that being said lots of other people,1885.919,3.781
801
+ have started experimenting I'm working,1887.899,4.861
802
+ with various cognitive architects who,1889.7,4.56
803
+ have put the heuristic imperatives into,1892.76,4.44
804
+ their machines and again they have,1894.26,6.18
805
+ discovered that yes it is one very easy,1897.2,4.74
806
+ to implement the heuristic imperatives,1900.44,4.2
807
+ and two it does seem to drive curiosity,1901.94,5.28
808
+ and a few other uh beneficial behaviors,1904.64,4.259
809
+ for the machine it makes them very,1907.22,3.54
810
+ thoughtful,1908.899,3.061
811
+ um there's a few places that you can,1910.76,2.7
812
+ join the conversation,1911.96,2.64
813
+ um all the links are in the description,1913.46,3.42
814
+ so I just created a new subreddit called,1914.6,4.02
815
+ heuristic imperatives so that we can,1916.88,3.659
816
+ talk about these and share our work,1918.62,4.14
817
+ there's also a Discord Community,1920.539,4.26
818
+ um also Link in the description but I've,1922.76,4.26
819
+ been working on this since 2019 when,1924.799,4.321
820
+ gpt2 came out,1927.02,4.56
821
+ um and you know I will be the first to,1929.12,4.439
822
+ admit there's a lot of ways to skin this,1931.58,4.56
823
+ cat maybe my heuristic imperatives,1933.559,4.921
824
+ aren't even the best but at least now,1936.14,4.019
825
+ you're aware of the concept and you know,1938.48,4.5
826
+ how easy it is to implement so maybe the,1940.159,4.201
827
+ rest of us can collectively work,1942.98,3.66
828
+ together and implement this situation,1944.36,5.52
829
+ where even in an uncertain environment,1946.64,4.86
830
+ with potentially hostile actors the,1949.88,3.899
831
+ Byzantine generals environment we can,1951.5,4.26
832
+ have agis that will cooperate and,1953.779,4.26
833
+ collaborate and that will ultimately end,1955.76,6.0
834
+ up in a very safe and stable environment,1958.039,6.0
835
+ so all that being said thank you for,1961.76,4.38
836
+ watching please jump in the comments the,1964.039,4.441
837
+ conversation Discord and Reddit and do,1966.14,4.68
838
+ the experiments yourself I promise it's,1968.48,3.54
839
+ pretty easy,1970.82,5.0
840
+ all right that's it,1972.02,3.8
AGI within 18 months explained with a boatload of papers and projects_transcript.csv ADDED
@@ -0,0 +1,631 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everyone David Shapiro here with an,0.0,5.1
3
+ update sorry it's been a while,3.06,3.9
4
+ um I am doing much better thank you for,5.1,4.8
5
+ asking and thanks for all the kind words,6.96,5.7
6
+ um yeah so a couple days ago I posted a,9.9,4.859
7
+ video where I said like,12.66,4.619
8
+ we're gonna have AGI within 18 months,14.759,5.461
9
+ and that caused a stir on in some,17.279,4.981
10
+ corners of the internet,20.22,3.96
11
+ um but I wanted to share like why I,22.26,3.96
12
+ believe that because maybe not everyone,24.18,3.72
13
+ has seen the same information that I,26.22,3.12
14
+ have so first,27.9,5.819
15
+ Morgan Stanley research on Nvidia,29.34,6.899
16
+ um this was really big on Reddit and,33.719,4.741
17
+ basically why we are writing this we,36.239,4.081
18
+ have seen several reports that in our,38.46,3.779
19
+ view incorrectly characterize the direct,40.32,4.2
20
+ opportunity for NVIDIA in particular the,42.239,5.101
21
+ revenue from chat GPT inference,44.52,5.879
22
+ we think that gpt5 is currently being,47.34,4.5
23
+ trained on 25,50.399,5.581
24
+ 000 gpus or 225 million dollars or so of,51.84,6.42
25
+ Nvidia hardware and the inference costs,55.98,3.96
26
+ are likely much lower than some of the,58.26,3.6
27
+ numbers we have seen further reduce,59.94,3.419
28
+ reducing inference costs will be,61.86,3.119
29
+ critical in resolving the cost of search,63.359,4.921
30
+ debate from cloud Titans so basically,64.979,6.301
31
+ if chat GPT becomes much much cheaper,68.28,4.92
32
+ then it's actually going to be cheaper,71.28,3.659
33
+ than search,73.2,3.36
34
+ um is is kind of how I'm interpreting,74.939,4.201
35
+ that now this paper goes on to say that,76.56,5.46
36
+ like the industry is pivoting so rather,79.14,5.4
37
+ than seeing this as a trendy new fad or,82.02,4.739
38
+ a shiny new toy they're saying No this,84.54,3.24
39
+ actually has serious business,86.759,3.301
40
+ implications which people like I have,87.78,5.1
41
+ been saying for years but you know the,90.06,4.26
42
+ industry is catching up especially when,92.88,3.66
43
+ you see like how much revenue Google,94.32,4.38
44
+ lost just with the introduction of chat,96.54,3.96
45
+ GPT,98.7,2.52
46
+ um,100.5,3.06
47
+ I like this and we're not trying to be,101.22,4.92
48
+ curmudgeons on the opportunity,103.56,5.34
49
+ so anyways Morgan Stanley Nvidia and,106.14,5.82
50
+ I've been I've been uh on in nvidia's,108.9,5.219
51
+ corner for a while saying that like I,111.96,3.479
52
+ think they're the underdog they're the,114.119,3.901
53
+ unsung hero here so anyways you look at,115.439,4.921
54
+ the investment and so this reminds me of,118.02,5.639
55
+ the ramp up for solar so 10 to 15 years,120.36,5.88
56
+ ago all the debates were like oh solar's,123.659,4.8
57
+ not efficient solar isn't helpful it's,126.24,4.92
58
+ too expensive blah blah blah and then,128.459,4.86
59
+ once you see the business investment,131.16,3.9
60
+ going up that's when you know you're at,133.319,4.441
61
+ the inflection point so AI is no longer,135.06,4.38
62
+ just a bunch of us you know writing,137.76,4.86
63
+ papers and tinkering when you see the,139.44,6.0
64
+ millions and in this case a quarter of a,142.62,4.32
65
+ billion dollars,145.44,4.32
66
+ being invested that's when you know that,146.94,4.68
67
+ things are changing and so this reminds,149.76,5.64
68
+ me of like the 2013 to 2015 uh range,151.62,5.82
69
+ maybe actually even like 2017 range for,155.4,3.36
70
+ solar where it's like actually no it,157.44,3.18
71
+ makes Financial sense,158.76,3.479
72
+ um but of course everything with AI is,160.62,4.979
73
+ exponentially faster uh so,162.239,6.241
74
+ Nvidia is participating they've got the,165.599,4.681
75
+ hardware they're building out the big,168.48,4.38
76
+ computers so on and so forth the,170.28,4.2
77
+ investment is there so the Improvement,172.86,3.42
78
+ is coming the exponential ramp up is,174.48,3.0
79
+ coming now,176.28,4.319
80
+ that's great uh one tool let's take a,177.48,6.06
81
+ quick break and um when I when I talked,180.599,6.241
82
+ about uh n8n in Nathan or naden I'm not,183.54,5.22
83
+ sure how people pronounce it as well as,186.84,3.899
84
+ Lang chain people were quick to point,188.76,4.199
85
+ out Lang flow which is a graphical,190.739,6.601
86
+ interface for Lang chain so this is this,192.959,6.42
87
+ fills in a really big gap for Lang chain,197.34,4.86
88
+ which is okay how do you see it how are,199.379,4.741
89
+ things cross-linked so I wanted to share,202.2,4.88
90
+ this this tool it's a github.com,204.12,7.38
91
+ logspace dash AI uh Slash Lang flow so,207.08,5.799
92
+ you can just look up Lang flow and,211.5,3.959
93
+ you'll find it so this is a good uh good,212.879,5.101
94
+ chaining tool a nice graphical interface,215.459,4.081
95
+ this is exactly the direction that,217.98,3.24
96
+ things are going,219.54,4.5
97
+ um great Okay so we've got the business,221.22,4.56
98
+ investment we've got people creating,224.04,4.199
99
+ open source libraries it's going it's,225.78,4.62
100
+ advancing so I wanted to share this,228.239,5.64
101
+ paper with you uh mm react for uh was it,230.4,6.78
102
+ multimodal reasoning and action so this,233.879,6.301
103
+ basically makes use of the latest GPT,237.18,6.36
104
+ where you've got vision and chat,240.18,6.24
105
+ um and it's like it's kind of it's,243.54,5.52
106
+ exactly what you what you kind of expect,246.42,4.019
107
+ um but this page does a good job of,249.06,3.179
108
+ giving you a bunch of different,250.439,3.961
109
+ um examples and they're uh I think,252.239,4.861
110
+ they're pre-recorded is it playing,254.4,5.04
111
+ it looks okay there it goes,257.1,4.74
112
+ um so you can check out this paper the,259.44,4.5
113
+ full paper is here and there's a live,261.84,4.62
114
+ demo up on hugging face so you can try,263.94,5.039
115
+ different stuff and then talk about it,266.46,5.58
116
+ um which is great like the fact that,268.979,5.401
117
+ they're able to share this for free just,272.04,5.159
118
+ as a demonstration is just a hint as to,274.38,4.44
119
+ what's coming,277.199,3.78
120
+ um because imagine when this is,278.82,4.08
121
+ commoditized you can do it on your phone,280.979,4.021
122
+ right your phone's Hardware will be,282.9,3.299
123
+ powerful enough to run some of these,285.0,3.78
124
+ models within a few years certainly if,286.199,4.5
125
+ it's uh if it's offloaded to the cloud,288.78,4.56
126
+ it's powerful enough to do it now,290.699,5.821
127
+ um and then uh so,293.34,5.46
128
+ you when you stitch together the the,296.52,4.5
129
+ rapidly decreasing cost of inference,298.8,3.899
130
+ these things are basically going to be,301.02,4.14
131
+ free to use pretty soon when you look at,302.699,4.681
132
+ the fact that an open source framework,305.16,5.759
133
+ like Lang flow and and uh and so on can,307.38,5.22
134
+ allow pretty much anyone to create,310.919,3.661
135
+ cognitive workflows,312.6,4.56
136
+ and all these things it's like okay yeah,314.58,5.16
137
+ like we're gonna have really powerful,317.16,3.84
138
+ machines soon,319.74,3.179
139
+ and so someone asked for clarification,321.0,4.139
140
+ when I said okay well what do you mean,322.919,5.041
141
+ when you say AGI within 18 months,325.139,4.261
142
+ because nobody can agree on the,327.96,3.72
143
+ definition and if you watched the Sam,329.4,5.16
144
+ Altman Lex Friedman interview he ref he,331.68,4.739
145
+ refers to Sam Allman refers to AGI,334.56,3.479
146
+ several times but the definition seems,336.419,3.481
147
+ to change because early in the interview,338.039,3.781
148
+ he talks about like oh you know you put,339.9,4.139
149
+ someone in front of gpt4 or chat gpt4,341.82,3.9
150
+ and what's the first thing that they do,344.039,4.321
151
+ when when and these are his words when,345.72,4.979
152
+ they interact with an AGI is they try,348.36,4.08
153
+ and break it or tease it or whatever and,350.699,4.44
154
+ then later he says oh well gpt5 that's,352.44,4.56
155
+ not even going to be AGI so he keeps,355.139,3.481
156
+ like equivocating and bouncing back and,357.0,3.419
157
+ forth,358.62,4.38
158
+ I think that part of what's going on,360.419,5.041
159
+ here is there's no good definition and,363.0,4.259
160
+ because later in the conversation they,365.46,3.6
161
+ were talking about things that a chat,367.259,4.801
162
+ model can do it's not autonomous right,369.06,4.5
163
+ um but,372.06,4.8
164
+ I'm glad you asked reflection came out,373.56,5.579
165
+ an autonomous agent with dynamic memory,376.86,4.559
166
+ and self-reflection,379.139,4.021
167
+ um so between,381.419,5.581
168
+ cognitive workflows and autonomy and the,383.16,5.46
169
+ investment coming up in into these,387.0,3.0
170
+ models,388.62,4.199
171
+ we are far closer to fully autonomous,390.0,5.6
172
+ agents than I think many people,392.819,5.341
173
+ recognize so the reflection stuff I'm,395.6,3.58
174
+ not going to do a full video on,398.16,3.0
175
+ reflection there's there's other um ones,399.18,4.26
176
+ out there but basically this outperforms,401.16,5.4
177
+ humans in in a few tasks and it forms a,403.44,5.34
178
+ very very basic kind of cognitive,406.56,3.84
179
+ architecture Loop,408.78,3.78
180
+ so query action environment reward,410.4,4.98
181
+ reflect and then repeat so you just,412.56,4.68
182
+ continuously iterate on something in a,415.38,4.86
183
+ loop and there you go uh and also for,417.24,4.86
184
+ people who keep asking me what I think,420.24,2.64
185
+ about,422.1,2.76
186
+ um uh what's his name Ben gertzel I'm,422.88,3.24
187
+ not sure if I'm saying his name right,424.86,3.72
188
+ but I read his seminal paper a couple,426.12,4.139
189
+ years ago on general theory on general,428.58,4.32
190
+ intelligence and he never mentioned,430.259,5.041
191
+ iteration or Loops at least not to the,432.9,3.66
192
+ degree that you need to when you're,435.3,3.959
193
+ talking about actual intelligence so I,436.56,4.859
194
+ personally don't think that he's done,439.259,5.28
195
+ anything particularly relevant today I'm,441.419,4.5
196
+ not going to comment on his older work,444.539,3.0
197
+ because obviously like he's made a name,445.919,3.661
198
+ for himself so on and so forth but I,447.539,3.741
199
+ don't think that Ben has done anything,449.58,3.839
200
+ really pertinent to cognitive,451.28,3.94
201
+ architecture which is the direction that,453.419,3.84
202
+ things are going,455.22,5.16
203
+ um but yeah so when when MIT is doing,457.259,5.581
204
+ research on cognitive architecture and,460.38,6.18
205
+ autonomous designs when Morgan Stanley,462.84,6.62
206
+ and Nvidia are working on investing,466.56,4.919
207
+ literally hundreds of millions of,469.46,4.6
208
+ dollars to drive down inference cost and,471.479,5.701
209
+ when open source uh libraries are,474.06,4.44
210
+ creating,477.18,2.639
211
+ um the rudiments of cognitive,478.5,4.199
212
+ architectures we are ramping up fast and,479.819,5.521
213
+ so someone asked what I meant again kind,482.699,3.961
214
+ of getting back to that what did I mean,485.34,4.44
215
+ by AGI within 18 months I said in 18,486.66,4.379
216
+ months,489.78,4.259
217
+ any possible definition of AGI that you,491.039,5.341
218
+ have will be satisfied,494.039,3.78
219
+ um so it's like I don't care what your,496.38,3.96
220
+ definition of AGI is unless like there's,497.819,3.841
221
+ still some people out there that like,500.34,3.12
222
+ you ask them and it's like oh well once,501.66,3.9
223
+ AGI hits like the skies will darken and,503.46,3.72
224
+ nuclear weapons will rain down and I'm,505.56,4.74
225
+ like that's not AGI that's Ultron that's,507.18,5.7
226
+ different that's that's a fantasy,510.3,3.9
227
+ um that's probably not going to happen,512.88,3.24
228
+ it could if skynet's going to happen it,514.2,4.079
229
+ will happen within 18 months,516.12,3.9
230
+ um but I don't think it's going to,518.279,4.2
231
+ happen Okay so that's section one of the,520.02,4.5
232
+ video talking about the news and,522.479,4.501
233
+ everything out there so now let me pivot,524.52,4.319
234
+ and talk about the work that I've been,526.98,3.0
235
+ doing,528.839,3.421
236
+ um so I've been making extensive use of,529.98,6.18
237
+ chat gbt4 to accelerate my own research,532.26,5.639
238
+ um I've been working on a few things,536.16,3.78
239
+ many of you are going to be familiar,537.899,3.481
240
+ with my work on the heuristic,539.94,3.72
241
+ imperatives which is how do you create a,541.38,4.74
242
+ fully autonomous machine that is safe,543.66,5.94
243
+ and stable ideally for all of eternity,546.12,6.36
244
+ um so this is this is is this is,549.6,4.62
245
+ probably one of my most important pieces,552.48,3.24
246
+ of work and I've put it into all of my,554.22,4.38
247
+ books and a lot of other stuff the tldr,555.72,5.48
248
+ of heuristic imperatives is it's like,558.6,6.6
249
+ it's similar to asimov's three laws of,561.2,5.56
250
+ robotics but it is much much more,565.2,3.9
251
+ broadly Genera generalized and it is,566.76,4.199
252
+ also not um androcentric or,569.1,3.54
253
+ anthropocentric,570.959,4.5
254
+ and so basically the three rules that if,572.64,5.16
255
+ you embed them into your your autonomous,575.459,4.861
256
+ AI systems uh reduce suffering in the,577.8,4.02
257
+ universe increase prosperity in the,580.32,2.82
258
+ universe and increase understanding in,581.82,3.42
259
+ the universe this creates a very,583.14,4.139
260
+ thoughtful machine and it serves as a,585.24,3.36
261
+ really good,587.279,3.201
262
+ um reinforcement learning mechanism,588.6,5.04
263
+ self-evaluation mechanism that results,590.48,6.52
264
+ in a very thoughtful uh machine so that,593.64,6.66
265
+ information is all available out here,597.0,6.24
266
+ um under uh on my GitHub Dave shop here,600.3,5.159
267
+ is to comparatives I've got it published,603.24,4.68
268
+ as a word doc and a PDF,605.459,4.5
269
+ so I started adopting a more scientific,607.92,3.419
270
+ approach,609.959,3.06
271
+ um because well there's a reason that,611.339,4.56
272
+ the scientific paper format works so if,613.019,4.981
273
+ you want to come out here and read it,615.899,3.901
274
+ um it's out there it's totally free of,618.0,2.82
275
+ course,619.8,2.4
276
+ um oh actually that reminds me I need to,620.82,3.78
277
+ put a way to cite my work because you,622.2,5.819
278
+ can cite GitHub repos but basically this,624.6,6.12
279
+ provides uh quite a quite a bit and one,628.019,5.101
280
+ thing it to point out is that this paper,630.72,4.38
281
+ was almost written entirely word for,633.12,5.52
282
+ word by chat gpt4 meaning that all of,635.1,6.54
283
+ the reasoning that it does was performed,638.64,7.8
284
+ by chat gpt4 and at the very end,641.64,7.199
285
+ um I actually had it reflect on its own,646.44,4.88
286
+ performance,648.839,2.481
287
+ um it looks like it's not going to load,651.48,3.419
288
+ that much uh more pages oh there we go,652.8,5.76
289
+ examples so anyways uh when you read,654.899,5.641
290
+ this and you keep in mind that the the,658.56,4.56
291
+ Nuance of it whoops that the Nuance of,660.54,4.919
292
+ this was uh,663.12,5.94
293
+ within within the capacity of chat gpd4,665.459,5.281
294
+ you will see that these models are,669.06,4.399
295
+ already capable of very very nuanced,670.74,5.7
296
+ empathetic and moral reasoning and this,673.459,3.94
297
+ is one thing that a lot of people,676.44,2.519
298
+ complain about they're like oh well it,677.399,3.961
299
+ doesn't truly understand anything I,678.959,3.661
300
+ always say that humans don't truly,681.36,3.06
301
+ understand anything so that's a,682.62,4.38
302
+ frivolous argument but,684.42,4.08
303
+ um that leads to another area of,687.0,3.66
304
+ research which I'll get into in a minute,688.5,4.74
305
+ uh but basically keep in mind how,690.66,4.98
306
+ nuanced this paper is and keep in mind,693.24,4.74
307
+ that chat GPT wrote pretty much the,695.64,4.02
308
+ entire thing and I've also got the,697.98,3.359
309
+ transcript of the conversation at the,699.66,3.359
310
+ end so if you want to if you want to,701.339,3.541
311
+ read the whole transcript please feel,703.019,3.241
312
+ free to read the whole transcript and,704.88,2.94
313
+ you can see,706.26,3.48
314
+ um where like we worked through the the,707.82,3.66
315
+ whole paper,709.74,4.92
316
+ um yeah so that's it so on the topic of,711.48,5.46
317
+ uh does the machine truly understand,714.66,3.799
318
+ anything,716.94,6.6
319
+ that resulted in this transcript which I,718.459,7.781
320
+ have yet to format this into a full,723.54,6.479
321
+ um uh scientific paper but basically the,726.24,6.36
322
+ the tldr here is that I call it the,730.019,5.521
323
+ epistemic pragmatic orthogonality which,732.6,5.58
324
+ is that the epistemic truth of whether,735.54,4.32
325
+ or not a machine truly understands,738.18,5.159
326
+ anything is orthogonal or uncorrelated,739.86,6.84
327
+ with how useful it is or objectively,743.339,6.141
328
+ um correct it is right so if you look,746.7,5.759
329
+ basically it doesn't matter if the,749.48,4.66
330
+ machine truly understands anything,752.459,4.681
331
+ because again that's not really germane,754.14,6.18
332
+ to its function as a machine and so this,757.14,5.879
333
+ is uh it's a fancy term but it basically,760.32,5.1
334
+ says okay and there's there was actually,763.019,3.961
335
+ a great Reddit post where it's like can,765.42,3.3
336
+ we stop arguing over whether or not it's,766.98,3.72
337
+ sentient or conscious or understands,768.72,4.5
338
+ anything that doesn't matter,770.7,5.04
339
+ um what matters is it's its physical,773.22,5.7
340
+ objective measurable impact and it,775.74,5.36
341
+ whether it is objectively or measurably,778.92,4.26
342
+ correct or useful,781.1,3.94
343
+ so I call that the epistemic pragmatic,783.18,4.08
344
+ orthogonality principle of artificial,785.04,4.799
345
+ intelligence I've got it summarized here,787.26,4.74
346
+ so you can just read this is the,789.839,3.721
347
+ executive summary,792.0,3.48
348
+ um that I actually use Chad gbt to write,793.56,3.54
349
+ so again a lot of the work that I'm,795.48,5.28
350
+ doing is anchored by chat GPT and the,797.1,5.7
351
+ fact that chat GPT was able to have a,800.76,5.34
352
+ very nuanced conversation about its own,802.8,4.56
353
+ understanding,806.1,3.12
354
+ kind of tells you how smart these,807.36,3.479
355
+ machines are,809.22,4.679
356
+ um yep so that is that paper now moving,810.839,4.981
357
+ on back to uh some of the cognitive,813.899,3.901
358
+ architecture stuff,815.82,3.06
359
+ um one thing that I'm working on is,817.8,3.599
360
+ called Remo so the rolling episodic,818.88,5.22
361
+ memory organizer for autonomous AI,821.399,4.981
362
+ systems I initially called this hmcs,824.1,3.72
363
+ which is hierarchical memory,826.38,3.54
364
+ consolidation system but that's a,827.82,5.699
365
+ mouthful and it doesn't abide by the uh,829.92,5.64
366
+ the current Trend where you use an,833.519,4.56
367
+ acronym that's easy to say right so Remo,835.56,4.44
368
+ rolling episodic memory organizer much,838.079,3.921
369
+ easier to say much easier to remember,840.0,6.72
370
+ basically what this does is uh it's also,842.0,7.18
371
+ not done so I need to add a caveat there,846.72,4.32
372
+ I'm working through it here with chat,849.18,4.32
373
+ gpt4 where we're working on defining the,851.04,4.739
374
+ problem writing the code so on and so,853.5,4.62
375
+ forth but basically what this does is,855.779,4.261
376
+ rather than just using semantic search,858.12,5.399
377
+ because uh a lot of folks have realized,860.04,5.88
378
+ that yes semantic search is really great,863.519,4.801
379
+ because it allows you to search based on,865.92,3.96
380
+ semantic similarity rather than just,868.32,4.92
381
+ keywords super powerful super fast uh,869.88,5.639
382
+ using stuff like Pinecone still not good,873.24,5.52
383
+ enough because it is not organized in,875.519,5.88
384
+ the same way that a human memory is so,878.76,5.939
385
+ Remo the entire point of Remo,881.399,6.601
386
+ is to do two things,884.699,5.221
387
+ um the two primary goals is to maintain,888.0,5.279
388
+ salience and coherence so Salient,889.92,5.64
389
+ memories means that uh what you're,893.279,4.201
390
+ looking at is actually Germaine actually,895.56,3.719
391
+ relevant to the conversation that you're,897.48,4.26
392
+ having which can be more difficult if,899.279,4.56
393
+ you just use semantic search the other,901.74,5.339
394
+ thing is coherence which is keeping the,903.839,5.581
395
+ context of those memories,907.079,5.041
396
+ um basically in a coherent narrative so,909.42,5.219
397
+ if rather than just focusing on semantic,912.12,5.219
398
+ search the two terms that I'm,914.639,4.861
399
+ introducing are salience and coherence,917.339,5.281
400
+ and of course this is rooted in temporal,919.5,5.82
401
+ binding so human memories are temporal,922.62,5.339
402
+ and associative so those four Concepts,925.32,5.94
403
+ salience and coherence are achieved with,927.959,5.721
404
+ temporal and associative or semantic,931.26,6.12
405
+ consolidation and so what I mean by uh,933.68,6.099
406
+ temporal consolidation is you take,937.38,5.1
407
+ clusters of memories that are temporally,939.779,5.401
408
+ bounded or temporally nearby and you,942.48,5.28
409
+ summarize those so that gives you that,945.18,4.68
410
+ gives you temporal consolidation which,947.76,3.96
411
+ allows you to take you can compress,949.86,4.44
412
+ memories AI memories you know on a,951.72,6.0
413
+ factor of five to one uh 10 to 1 20 to 1,954.3,5.76
414
+ depending on how concisely you summarize,957.72,4.739
415
+ them so that gives you a lot of,960.06,6.18
416
+ consolidation then you use a semantic,962.459,6.661
417
+ modeling to create a semantic web or a,966.24,5.219
418
+ cluster uh um from the semantic,969.12,4.32
419
+ embeddings of those summaries,971.459,6.961
420
+ so it's a layered process actually,973.44,4.98
421
+ here I think I can just show you here,978.72,4.619
422
+ um,982.019,2.94
423
+ wait no I've got the paper here let me,983.339,4.081
424
+ show you the Remo paper,984.959,4.141
425
+ um so this is a work in progress it'll,987.42,3.12
426
+ be published soon,989.1,2.7
427
+ um but let me show you the diagrams,990.54,2.7
428
+ because this will just make it make much,991.8,3.539
429
+ more sense oh and chat GPT can make,993.24,4.26
430
+ diagrams too you just ask it to Output a,995.339,5.701
431
+ mermaid diagram definition and it'll do,997.5,6.779
432
+ it so here's here's the tldr the very,1001.04,5.46
433
+ simple version of the Remo framework,1004.279,4.321
434
+ it's it's got three layers so there's,1006.5,4.259
435
+ the raw log layer which is just the chat,1008.6,4.56
436
+ logs back and forth the temporal,1010.759,4.5
437
+ consolidation layer which as I just,1013.16,5.0
438
+ mentioned allows you to compress,1015.259,6.841
439
+ memories based on temporal grouping,1018.16,5.38
440
+ and then finally the semantic,1022.1,4.739
441
+ consolidation layer which allows you to,1023.54,5.639
442
+ create and extract topics based on,1026.839,4.86
443
+ semantic similarity so by by having,1029.179,5.16
444
+ these two these two layers that have,1031.699,4.86
445
+ different kinds of consolidation you end,1034.339,4.441
446
+ up with what I call temporally invariant,1036.559,6.0
447
+ recall so the topics that we that we,1038.78,5.279
448
+ extract,1042.559,5.4
449
+ um are going to include all the time uh,1044.059,6.561
450
+ from beginning to end that is relevant,1047.959,5.34
451
+ while also having benefited from,1050.62,5.32
452
+ temporal consolidation I'm going to come,1053.299,4.26
453
+ up with some better diagrams to to,1055.94,5.4
454
+ demonstrate this but basically it's like,1057.559,5.941
455
+ actually I can't think of of a good way,1061.34,4.199
456
+ to describe it,1063.5,4.32
457
+ um but anyway so this paper is coming,1065.539,4.201
458
+ um and I'm I'm actively experimenting,1067.82,3.9
459
+ with this on a newer version of Raven,1069.74,4.439
460
+ that uses a lot more implied cognition,1071.72,5.04
461
+ so I talked about implied cognition in a,1074.179,4.321
462
+ previous episode but basically implied,1076.76,6.299
463
+ cognition is when I in using chat gpt4 I,1078.5,6.36
464
+ realize that it is able to think through,1083.059,4.081
465
+ stuff without you having to design a,1084.86,3.42
466
+ more sophisticated cognitive,1087.14,3.12
467
+ architecture so the cognitive,1088.28,4.5
468
+ architecture with gpt4 as the cognitive,1090.26,5.1
469
+ engine actually becomes much simpler and,1092.78,4.2
470
+ you only have to focus your I don't want,1095.36,3.96
471
+ to say only but the focus shifts then to,1096.98,4.319
472
+ memory because once you have the correct,1099.32,4.14
473
+ Memories the the model becomes much more,1101.299,3.181
474
+ intelligent,1103.46,2.839
475
+ so that's up here under Remo framework,1104.48,5.04
476
+ I'm working on a conversation with Raven,1106.299,5.441
477
+ to to demonstrate this,1109.52,4.38
478
+ um and and that's that the paper will be,1111.74,4.5
479
+ coming too so that this is one big,1113.9,4.019
480
+ important piece of work the other most,1116.24,2.939
481
+ important piece of work that I'm working,1117.919,3.721
482
+ on is the atom framework which this,1119.179,4.801
483
+ paper is already done,1121.64,4.5
484
+ um but,1123.98,4.62
485
+ atom framework let me just load it here,1126.14,4.98
486
+ there we go so um autonomous task,1128.6,4.319
487
+ orchestration manager so this is another,1131.12,4.2
488
+ kind of long-term memory for autonomous,1132.919,5.161
489
+ AI systems that's basically like the,1135.32,4.739
490
+ tldr is,1138.08,4.979
491
+ um it's like jira or Trello but for,1140.059,5.761
492
+ machines with an API,1143.059,6.301
493
+ um and so in this case uh you it's,1145.82,6.239
494
+ inspired by a lot of things one agile,1149.36,5.939
495
+ two on task by David Bader,1152.059,5.761
496
+ um Neuroscience for dummies uh jira,1155.299,4.921
497
+ Trello a whole bunch of other stuff,1157.82,5.58
498
+ um but basically we talk about cognitive,1160.22,4.56
499
+ control so I'm introducing a lot of,1163.4,3.48
500
+ Neuroscience terms to the AI community,1164.78,4.44
501
+ so cognitive control has to do with task,1166.88,4.32
502
+ selection task switching task,1169.22,4.8
503
+ decomposition goal tracking goal States,1171.2,4.56
504
+ those sorts of things,1174.02,3.659
505
+ um and then we talk about,1175.76,3.299
506
+ um you know some of the inspiration,1177.679,3.841
507
+ agile jira Trello,1179.059,4.681
508
+ um and then so it's like okay so what,1181.52,4.019
509
+ are the things that we need to talk or,1183.74,4.02
510
+ that we need to include in order for an,1185.539,5.701
511
+ AI system to be fully autonomous and and,1187.76,6.299
512
+ track tasks over time so you need tools,1191.24,4.5
513
+ and Tool definitions you need resource,1194.059,3.12
514
+ management and you need an agent model,1195.74,3.66
515
+ all these are are full are described,1197.179,5.221
516
+ later on or in Greater depth,1199.4,6.42
517
+ um then actually in my conversation with,1202.4,5.94
518
+ um with chat GPT one of the things that,1205.82,4.08
519
+ it said is like okay well how do you,1208.34,2.94
520
+ prioritize stuff and I was like I'm glad,1209.9,3.18
521
+ you asked um and so I shared my work,1211.28,3.42
522
+ with the heuristic imperatives and chat,1213.08,3.78
523
+ GPT agreed like oh yeah this is a really,1214.7,4.5
524
+ great framework for prioritizing tasks,1216.86,4.679
525
+ and on and measuring success okay great,1219.2,4.02
526
+ let's use that,1221.539,4.681
527
+ um I'll I think let's see is the uh,1223.22,4.44
528
+ transcript posted I don't know if I,1226.22,3.18
529
+ posted the transcript I didn't I'll post,1227.66,3.84
530
+ the full strength transcript of of right,1229.4,4.2
531
+ making the atom framework,1231.5,3.96
532
+ um in the repo,1233.6,4.319
533
+ um so then we get into like okay so now,1235.46,4.44
534
+ that you have all the background what do,1237.919,4.201
535
+ we talk about so it's all about tasks,1239.9,4.08
536
+ and the data that goes into the task so,1242.12,3.059
537
+ first you need to figure out how to,1243.98,3.3
538
+ represent a task so there's basic stuff,1245.179,4.561
539
+ like task ID description type goal State,1247.28,5.1
540
+ priority dependencies resource time,1249.74,4.799
541
+ estimates task status assigned agents,1252.38,5.64
542
+ progress and then the one that is,1254.539,6.421
543
+ um new is Task impetus so this is,1258.02,4.74
544
+ something that you might not,1260.96,3.48
545
+ think of if you think about you know,1262.76,3.6
546
+ your your jira board or your kanban,1264.44,5.76
547
+ board or Trello board is the why so the,1266.36,6.6
548
+ why is implicit in our tasks why am I,1270.2,3.96
549
+ trying to do this,1272.96,3.42
550
+ but when we added this,1274.16,4.2
551
+ um Chad GPT got really excited and it's,1276.38,3.9
552
+ like oh yeah it's actually really,1278.36,4.26
553
+ important to record why any autonomous,1280.28,4.38
554
+ entity is doing a task for a number of,1282.62,5.64
555
+ reasons one to track priorities or the,1284.66,5.94
556
+ the the the impetus might be superseded,1288.26,4.38
557
+ later on any number of things but also,1290.6,3.72
558
+ you need to justify the use of those,1292.64,4.26
559
+ resources in that time so this all goes,1294.32,4.44
560
+ into the representation of a task which,1296.9,4.44
561
+ you can do in Json yaml flat files,1298.76,4.44
562
+ Vector databases whatever I don't care,1301.34,3.36
563
+ like you can figure out how you want to,1303.2,3.359
564
+ represent it I'm probably just going to,1304.7,3.479
565
+ do these in text files honestly because,1306.559,3.841
566
+ that's the easiest thing for an llm to,1308.179,3.721
567
+ read,1310.4,3.659
568
+ um and then so talking about the task,1311.9,3.779
569
+ representation then we move on to the,1314.059,3.841
570
+ task life cycle task creation,1315.679,4.581
571
+ decomposition prioritization execution,1317.9,4.56
572
+ monitoring and updating and then finally,1320.26,4.0
573
+ completing the task,1322.46,3.3
574
+ um and then and then you archive it and,1324.26,2.88
575
+ you save it for later so that you can,1325.76,3.6
576
+ refer back to it again this is still,1327.14,4.26
577
+ primarily a long-term memory system for,1329.36,4.38
578
+ autonomous AI systems,1331.4,4.5
579
+ um some of the folks that I work with on,1333.74,3.66
580
+ Discord,1335.9,3.779
581
+ um and by work with I mean just like I'm,1337.4,4.62
582
+ in you know the AI communities with them,1339.679,3.36
583
+ um they all think that the atom,1342.02,3.42
584
+ framework is pretty cool,1343.039,4.38
585
+ um so then we talk about task Corpus,1345.44,4.26
586
+ management which is like okay looking at,1347.419,3.961
587
+ an individual task is fine but how do,1349.7,3.359
588
+ you look at your entire body of tasks,1351.38,4.02
589
+ because in autonomous AI it might have,1353.059,4.081
590
+ five tasks it might have five thousand,1355.4,4.08
591
+ tasks and then you see you need some,1357.14,5.399
592
+ processes to like okay if we're going,1359.48,4.92
593
+ through these tasks how do we manage a,1362.539,3.841
594
+ huge volume of tasks and so some ideas,1364.4,4.259
595
+ about how to do that are here,1366.38,4.14
596
+ um and then finally uh one of the last,1368.659,3.241
597
+ sections is some implementation,1370.52,4.08
598
+ guidelines which is just okay this is,1371.9,4.2
599
+ this is probably some things that you,1374.6,4.02
600
+ want to think about when you deploy uh,1376.1,4.079
601
+ your implementation of the atom,1378.62,3.24
602
+ framework,1380.179,3.901
603
+ um yeah so I think that's about it I I'm,1381.86,3.72
604
+ obviously I'm always working on a few,1384.08,3.719
605
+ different things but the atom framework,1385.58,4.62
606
+ and the Remo framework are are the two,1387.799,4.321
607
+ biggest things that I'm working on in,1390.2,2.94
608
+ terms of,1392.12,4.02
609
+ um in terms of autonomous Ai and so yeah,1393.14,5.519
610
+ all this stuff is coming fast uh I think,1396.14,5.039
611
+ that's about it so thanks for watching,1398.659,4.5
612
+ um like And subscribe and support me on,1401.179,4.081
613
+ patreon if you'd like,1403.159,3.961
614
+ um for anyone who does uh jump in on,1405.26,3.72
615
+ patreon I'm happy to answer some,1407.12,3.96
616
+ questions for you even jump on video,1408.98,3.84
617
+ calls if you jump in at the high enough,1411.08,3.0
618
+ tier,1412.82,3.42
619
+ um I help all kinds of people I do have,1414.08,4.62
620
+ a few ndas that I have to honor,1416.24,3.9
621
+ um but those are those are those are,1418.7,3.0
622
+ pretty narrow and some of them are also,1420.14,3.18
623
+ expiring,1421.7,4.32
624
+ um so I've had people ask you know for,1423.32,5.099
625
+ for help just with writing prompts for,1426.02,5.58
626
+ chat GPT I've had people ask,1428.419,4.62
627
+ um simple things like how did you learn,1431.6,3.3
628
+ what you learned,1433.039,4.5
629
+ um all kinds of stuff uh but yeah so,1434.9,4.38
630
+ that's that thanks for watching and,1437.539,4.281
631
+ cheers everybody,1439.28,2.54
AI Blockchain DAO Success How Decentralized Autonomous Organizations will control EVERYTHING_transcript.csv ADDED
@@ -0,0 +1,1123 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,1.079,4.141
3
+ with a video,3.3,4.46
4
+ um so today's video is about,5.22,5.339
5
+ decentralized economics uh as in,7.76,4.959
6
+ particular with AI blockchain and,10.559,4.321
7
+ distributed autonomous organizations,12.719,4.801
8
+ now with the rapid proliferation of,14.88,4.26
9
+ artificial intelligence particularly,17.52,4.5
10
+ tools like chat gbt people are starting,19.14,5.94
11
+ to understand what's coming and what I,22.02,5.82
12
+ mean by that is that more and more,25.08,4.68
13
+ people are automating aspects of their,27.84,4.2
14
+ job including writing emails reading,29.76,5.34
15
+ emails tickets coding all that kind of,32.04,6.6
16
+ stuff and so as these agents become more,35.1,6.299
17
+ and more autonomous folks are waking up,38.64,5.4
18
+ to the fact that eventually and by,41.399,4.441
19
+ eventually I mean like later this month,44.04,5.76
20
+ probably uh AI is going to be spending,45.84,6.3
21
+ more time talking to other AI than it,49.8,4.98
22
+ will be talking to humans and in this,52.14,5.7
23
+ case trust and security become a major,54.78,5.759
24
+ issue there's comments all over the,57.84,4.68
25
+ place Twitter Reddit and so on people,60.539,3.421
26
+ are like how are we going to trust that,62.52,4.2
27
+ anything we read was written by a human,63.96,6.06
28
+ the answer is blockchained based,66.72,4.56
29
+ Technologies such as distributed,70.02,3.66
30
+ autonomous organizations and nfts we're,71.28,5.159
31
+ not going to get into nfts to day let me,73.68,4.56
32
+ know if you want that as a future topic,76.439,3.961
33
+ but basically I think that all human,78.24,3.72
34
+ content on the internet will eventually,80.4,4.32
35
+ be nfts and so that you'll have a chain,81.96,4.979
36
+ of custody of who created it when and,84.72,5.039
37
+ what created it uh anyways uh going down,86.939,5.161
38
+ that rabbit hole so this meme pretty,89.759,4.381
39
+ much illustrates where we're at right,92.1,4.14
40
+ now but just take it one step further,94.14,4.92
41
+ and imagine that instead of you reading,96.24,5.64
42
+ emails your company has an email bot,99.06,4.26
43
+ that generates emails that go to all,101.88,3.779
44
+ your customers clients and partners and,103.32,3.839
45
+ then they have email Bots that read it,105.659,2.941
46
+ and business becomes more and more,107.159,6.301
47
+ autonomous this is coming I'm uh I have,108.6,6.9
48
+ many patreon supporters who are doing,113.46,3.659
49
+ this kind of thing they're several,115.5,3.78
50
+ startups uh folks that I'm friend with,117.119,4.32
51
+ that are working on making autonomous,119.28,5.22
52
+ employees basically so it's coming,121.439,5.761
53
+ okay so for those of you who don't know,124.5,5.459
54
+ what is a blockchain,127.2,5.1
55
+ um first what I need to say is that yes,129.959,4.92
56
+ Bitcoin is the most famous use of,132.3,4.439
57
+ blockchain Technology but it is not the,134.879,5.161
58
+ only use of blockchain Technology uh so,136.739,5.521
59
+ basically it is a it is a dis,140.04,5.76
60
+ decentralized digital Ledger uh kind of,142.26,5.76
61
+ technology which a digital Ledger is,145.8,3.659
62
+ basically a kind of transactional,148.02,4.219
63
+ database where it keeps track of logs,149.459,5.341
64
+ that's what it means by ledger so like,152.239,4.301
65
+ if you think of like a financial Ledger,154.8,3.12
66
+ you're keeping track of financial,156.54,3.12
67
+ transactions in this case you're keeping,157.92,4.08
68
+ track of digital transactions it is,159.66,4.92
69
+ decentralized based on many many nodes,162.0,6.959
70
+ and it is uh made to be tamper proof and,164.58,6.18
71
+ so what it what I mean by tamper proof,168.959,4.201
72
+ is that once a block is added to the,170.76,6.0
73
+ chain it cannot be modified but also for,173.16,6.0
74
+ a block to be added to the chain the the,176.76,4.68
75
+ network has to give consensus and we'll,179.16,4.14
76
+ talk a little bit more about consensus,181.44,4.98
77
+ in a moment but one of the key things is,183.3,6.0
78
+ that one it's peer-to-peer and two it is,186.42,5.099
79
+ for a trustless environment so a,189.3,4.5
80
+ trustless environment is a cyber,191.519,4.741
81
+ security concept where you have no idea,193.8,4.859
82
+ who you're talking to everyone is on is,196.26,5.04
83
+ anonymous and for us humans we're used,198.659,4.561
84
+ to that if you get on Reddit or Twitter,201.3,3.54
85
+ and you're interacting with someone who,203.22,3.599
86
+ just has gibberish as a username you,204.84,4.08
87
+ have no idea who they are,206.819,3.84
88
+ um we get that on YouTube some YouTube,208.92,4.679
89
+ comments are generated by troll Farms or,210.659,4.381
90
+ Bots or whatever,213.599,5.22
91
+ and so uh blockchain is a way to engage,215.04,5.82
92
+ with digital information in a trustless,218.819,3.48
93
+ environment basically where you have no,220.86,3.599
94
+ idea who you're talking to or who else,222.299,5.52
95
+ is participating and this uh this,224.459,4.981
96
+ decentralized trustless peer-to-peer,227.819,3.661
97
+ environment is what makes cryptocurrency,229.44,4.56
98
+ possible now a whole bunch of other,231.48,4.319
99
+ things become possible with blockchain,234.0,3.239
100
+ technology,235.799,3.241
101
+ so before we go a little bit further I,237.239,3.36
102
+ need to talk to you a little bit about,239.04,5.339
103
+ consensus so consensus is a method,240.599,7.101
104
+ whether it's algorithms or data or other,244.379,7.58
105
+ techniques that you can use in order to,247.7,7.239
106
+ collectively decide what gets accepted,251.959,5.68
107
+ onto the blockchain so it has to do with,254.939,5.3
108
+ Collective verification,257.639,5.701
109
+ and it has to it also is how you can,260.239,5.321
110
+ establish the validity of a particular,263.34,4.68
111
+ transaction so there's a few algorithms,265.56,4.26
112
+ such as proof of work proof of stake,268.02,3.899
113
+ delegated proof of stake so on and so,269.82,4.74
114
+ forth so consensus is how the network,271.919,6.141
115
+ decides to accept information,274.56,6.78
116
+ and in a human Network say for instance,278.06,5.62
117
+ on Twitter or Reddit or something,281.34,5.639
118
+ what can happen is you see someone post,283.68,6.18
119
+ a link right just imagine your typical,286.979,4.801
120
+ Twitter thread or Reddit thread someone,289.86,3.839
121
+ posts a link someone looks at it and,291.78,3.479
122
+ says yeah but look at the source that,293.699,3.78
123
+ source is not verifiable and then,295.259,4.081
124
+ someone else says oh but look at look at,297.479,3.66
125
+ who said this this person is not,299.34,4.139
126
+ trustworthy and so the general consensus,301.139,4.801
127
+ through natural language it might be,303.479,4.141
128
+ that you know a particular post is,305.94,3.78
129
+ useful or useless or they might point,307.62,3.72
130
+ out that like hey this is a click bait,309.72,3.66
131
+ title so therefore it's not accurate so,311.34,4.26
132
+ that is a kind of like human consensus,313.38,4.759
133
+ algorithm now imagine Opera,315.6,4.74
134
+ operationalizing that with an algorithm,318.139,4.421
135
+ this is not exactly the way that it,320.34,3.78
136
+ works because if you look up the way,322.56,3.96
137
+ that proof of work and proof of stake uh,324.12,4.139
138
+ work it's not anything like that but,326.52,3.959
139
+ what I'm the reason that I'm using this,328.259,4.821
140
+ analogy is to show,330.479,6.66
141
+ a more familiar uh kind of format as to,333.08,6.28
142
+ what consensus looks and feels like now,337.139,4.321
143
+ the math side of that is going to be a,339.36,3.899
144
+ little bit different but the long story,341.46,4.56
145
+ short is that having a consensus,343.259,5.701
146
+ mechanism is what mathematically allows,346.02,6.42
147
+ you to have that trustless environment,348.96,6.54
148
+ now smart contracts so one part of,352.44,5.34
149
+ blockchain and decentralized autonomous,355.5,4.56
150
+ organizations Dows is that you need,357.78,5.22
151
+ smart contracts so a smart contract is a,360.06,4.62
152
+ bit of code that is executed,363.0,3.479
153
+ automatically,364.68,5.72
154
+ um by uh by and on the blockchain,366.479,6.481
155
+ technology so this can execute,370.4,4.48
156
+ everything from Financial transactions,372.96,4.2
157
+ to sending data you can even have,374.88,5.099
158
+ compute agreements so say for instance,377.16,4.379
159
+ one of the things that's being explored,379.979,3.541
160
+ quite extensively especially with large,381.539,4.621
161
+ language models is Distributing the,383.52,4.2
162
+ layers of those large language models,386.16,3.84
163
+ and so a smart contract could be you,387.72,4.68
164
+ agree to process this layer of this,390.0,4.56
165
+ piece of data and then in exchange you,392.4,3.78
166
+ get you know some kind of reward usually,394.56,3.66
167
+ cryptocurrency,396.18,4.799
168
+ um but basically what this this is this,398.22,5.94
169
+ is the this is the net result of a,400.979,5.94
170
+ blockchain is some smart contract gets,404.16,5.099
171
+ executed based on the consensus,406.919,4.921
172
+ algorithm uh and and everything that,409.259,5.88
173
+ goes into that at and so what is not,411.84,6.12
174
+ immediately obvious is how versatile,415.139,5.161
175
+ this is so I was talking with a friend,417.96,5.34
176
+ of mine who had been investigating a,420.3,5.16
177
+ fraud case that had to do with Supply,423.3,4.32
178
+ chains and stuff and I said imagine how,425.46,3.66
179
+ much easier this investigation would,427.62,3.9
180
+ have been if every single change order,429.12,6.419
181
+ and pull request and check had been on a,431.52,6.119
182
+ blockchain and he's like holy crap,435.539,5.94
183
+ you're right so and and because the the,437.639,5.761
184
+ reason that that is disruptive is,441.479,5.041
185
+ because in order for uh in order for a,443.4,4.919
186
+ transaction to be added to a blockchain,446.52,3.78
187
+ it has to be verified by all the nodes,448.319,4.561
188
+ so in in the cases of like fraud and,450.3,5.399
189
+ embezzlement one person one stakeholder,452.88,4.379
190
+ with the right email address and,455.699,2.94
191
+ connections can make a phone call or,457.259,4.201
192
+ send a text message to redirect you know,458.639,4.921
193
+ goods or services from one company to,461.46,3.54
194
+ another or from one account to another,463.56,4.74
195
+ without permission but if that company,465.0,6.419
196
+ or that government organization uses a,468.3,5.64
197
+ blockchain or a dow technology in order,471.419,5.34
198
+ to control everything then most of the,473.94,5.4
199
+ nodes will need to agree yes this is a,476.759,4.38
200
+ legitimate transaction and if they,479.34,3.359
201
+ reject it they'll say no this is,481.139,4.261
202
+ obviously fraudulent or you know a,482.699,5.581
203
+ mistake or something like that and by,485.4,5.06
204
+ having that that that chain of custody,488.28,4.859
205
+ of change requests and all that kind of,490.46,5.04
206
+ stuff you can really Tamp down on,493.139,4.5
207
+ mishandling and misappropriation of,495.5,4.24
208
+ resources and that's just a supply chain,497.639,3.601
209
+ example,499.74,4.32
210
+ um VMware is a company that I used to,501.24,4.26
211
+ work with a lot that was my favorite,504.06,3.72
212
+ technology back when I was in a systems,505.5,4.919
213
+ engineer they're working on their own,507.78,5.1
214
+ blockchain uh thing and one of the key,510.419,5.761
215
+ uh E-Business cases is supply chain so,512.88,5.279
216
+ that's that's a one example another,516.18,5.159
217
+ example is stock market trades so,518.159,5.76
218
+ whether you're talking about options uh,521.339,4.741
219
+ day trading that sort of stuff those,523.919,3.721
220
+ kinds of things can be executed with,526.08,3.54
221
+ smart contracts as well also if my voice,527.64,3.36
222
+ sounds a little bit hoarse it's because,529.62,3.659
223
+ it's still allergy season we're at like,531.0,5.1
224
+ 8.1 out of 10 yesterday in my local area,533.279,5.101
225
+ for the allergens so I'm a little bit,536.1,3.72
226
+ raspy,538.38,4.2
227
+ um okay so finally we're building up to,539.82,4.92
228
+ what is a dow so you take these,542.58,4.68
229
+ underlying Technologies uh blockchain,544.74,5.94
230
+ consensus mechanisms and smart contracts,547.26,6.42
231
+ and what you do is then you create a set,550.68,4.26
232
+ of rules,553.68,4.2
233
+ basically it can be a corporation kind,554.94,4.62
234
+ of thing it can be a government kind of,557.88,4.38
235
+ thing it can be a neighborhood but you,559.56,5.58
236
+ put all of that control into an,562.26,4.74
237
+ autonomous organization that uses,565.14,3.96
238
+ blockchain that uses consensus and uses,567.0,5.94
239
+ smart contracts in order to uh control,569.1,6.299
240
+ resources and so this creates an,572.94,5.04
241
+ algorithmic framework to allocate,575.399,6.06
242
+ resources to make decisions and so on,577.98,6.18
243
+ and so forth and so this brings that,581.459,5.94
244
+ trustless aspect into human,584.16,6.299
245
+ collaboration basically now we're going,587.399,4.921
246
+ to take this one step further in just a,590.459,3.901
247
+ second and but what I want to say before,592.32,3.959
248
+ we move on is you've probably heard some,594.36,4.979
249
+ horror stories about Dows there's this,596.279,5.101
250
+ phenomenon called the rug pull where,599.339,3.781
251
+ there's a lot of grifters out there,601.38,3.6
252
+ saying oh invest in this Dow it's going,603.12,3.54
253
+ to give you 10 there are pretty much all,604.98,4.38
254
+ Ponzi schemes Dows are not an investment,606.66,5.1
255
+ vehicle Dows are a resource management,609.36,4.38
256
+ vehicle so if someone just asks you to,611.76,3.96
257
+ put money into a dow that's not what,613.74,5.099
258
+ they're for now if you are part of a,615.72,6.119
259
+ corporation and you say hey we're going,618.839,5.461
260
+ to use a dow to replace the board of,621.839,5.521
261
+ directors or to uh you know replace this,624.3,5.039
262
+ layer of management that might make a,627.36,4.2
263
+ little bit more sense if you're in a,629.339,3.721
264
+ neighborhood and you want to replace,631.56,3.839
265
+ your HOA and run it with a dow instead,633.06,4.26
266
+ that makes more sense because you're a,635.399,4.981
267
+ stakeholder with you know enforceable,637.32,4.68
268
+ rights to a thing,640.38,3.42
269
+ but if you're just investing in a dow,642.0,3.839
270
+ the technology is not mature enough for,643.8,4.8
271
+ that yet so my uh this is not Financial,645.839,4.56
272
+ advice obviously do your own research,648.6,3.54
273
+ but what I will say is I would never,650.399,3.901
274
+ personally invest in a dow that are not,652.14,4.08
275
+ investment vehicles,654.3,3.96
276
+ um Okay so,656.22,4.739
277
+ with all that groundwork laid and I know,658.26,4.139
278
+ that I've been going pretty fast and I'm,660.959,3.06
279
+ not reading you know the description,662.399,3.601
280
+ word for word you can pause the video,664.019,4.021
281
+ and look at that if you'd like,666.0,4.56
282
+ What If instead of just human,668.04,6.239
283
+ stakeholders you have humans and AI,670.56,5.82
284
+ participating in a dow,674.279,5.101
285
+ so this to me seems like what the Dow,676.38,5.459
286
+ was actually invented for,679.38,6.06
287
+ uh and so by by saying that hey you know,681.839,6.0
288
+ because AI like a language model has no,685.44,4.44
289
+ idea what it is or who you are or,687.839,4.201
290
+ anything like that but a language model,689.88,4.019
291
+ can help you write contracts can help,692.04,3.96
292
+ participate with sharing information so,693.899,4.261
293
+ on and so forth so then if the rest of,696.0,4.14
294
+ the network approves the information,698.16,4.2
295
+ coming from that autonomous agent or,700.14,4.259
296
+ semi-autonomous agent and then there's,702.36,4.88
297
+ humans also in the loop it seems to me,704.399,5.461
298
+ that a that the combination of,707.24,4.06
299
+ blockchain distributed autonomous,709.86,4.14
300
+ organizations and AI is probably the way,711.3,6.0
301
+ to go and this can be used for uh,714.0,5.339
302
+ private organizations so for instance,717.3,4.8
303
+ corporations can use this so that no,719.339,4.921
304
+ matter how many autonomous agents are,722.1,4.919
305
+ spun up uh they all have to approve of,724.26,5.22
306
+ what's going on in their collaboration,727.019,4.201
307
+ space,729.48,4.08
308
+ Um this can do this can be used for a,731.22,5.82
309
+ few things one processing information so,733.56,6.8
310
+ just putting information on your Dow,737.04,6.18
311
+ such as like emails corporate records,740.36,5.56
312
+ whatever and using that information like,743.22,4.619
313
+ I mentioned a minute ago supply chain,745.92,4.919
314
+ records great example but you can also,747.839,6.301
315
+ use the Dow to autonomously distribute,750.839,6.541
316
+ tasks work items so for instance if you,754.14,4.98
317
+ have a factory floor,757.38,4.199
318
+ uh that needs to be managed or if you,759.12,4.8
319
+ have a larger multinational logistics,761.579,5.641
320
+ thing that needs to that needs to to uh,763.92,7.02
321
+ be organized or managed uh Dows are a,767.22,5.76
322
+ possible way of doing that and we're,770.94,3.42
323
+ going to get into some very specific,772.98,3.299
324
+ examples here in just a minute,774.36,3.9
325
+ uh before I move on with the rest of the,776.279,3.661
326
+ video I do want to plug my patreon real,778.26,3.48
327
+ quick so,779.94,4.98
328
+ um my patreon has been evolving I've,781.74,5.46
329
+ simplified the tiers especially since I,784.92,4.14
330
+ moved most not most but much of the,787.2,4.379
331
+ conversation off to Discord which has,789.06,4.68
332
+ really driven engagement,791.579,5.461
333
+ my private patreon Discord is great,793.74,4.74
334
+ um some of my favorite channels are the,797.04,3.479
335
+ off topic and the existential coping,798.48,3.299
336
+ channels,800.519,2.82
337
+ um where mostly we talk about goats,801.779,2.821
338
+ apparently,803.339,3.361
339
+ um but yeah so jump in,804.6,4.14
340
+ um my higher tiers are all sold out,806.7,4.02
341
+ right now because there's a few reasons,808.74,3.899
342
+ but basically I don't have enough time,810.72,4.08
343
+ to get to everyone so those are capped,812.639,5.281
344
+ but later in May once I come back,814.8,5.279
345
+ um I will probably raise those caps a,817.92,3.78
346
+ little bit because I actually do get a,820.079,3.841
347
+ lot out of talking with um with patreons,821.7,4.079
348
+ so most of the people who sign up for,823.92,5.64
349
+ the higher tiers are um they are usually,825.779,5.341
350
+ small businesses small and medium,829.56,3.779
351
+ businesses who just need a little bit of,831.12,4.38
352
+ expert guidance on how to implement some,833.339,4.321
353
+ like AI Vector search that kind of stuff,835.5,4.92
354
+ I do brainstorming sessions,837.66,4.56
355
+ um you know like someone will come to me,840.42,3.84
356
+ with a particular idea or a problem and,842.22,4.559
357
+ I'll help them talk through it,844.26,4.68
358
+ um we address all kinds of stuff from,846.779,5.24
359
+ legal cases to Insurance,848.94,7.38
360
+ Mental Health all kinds of stuff that I,852.019,6.041
361
+ that I'll talk with the companies about,856.32,3.959
362
+ and of course the liability is with them,858.06,4.62
363
+ I just provide you know my perspective,860.279,4.74
364
+ and expertise,862.68,5.58
365
+ um as is so moving right along,865.019,5.76
366
+ I mentioned that uh that you know I was,868.26,4.079
367
+ going to give some specific use cases,870.779,3.06
368
+ for dowels and I think that this will,872.339,3.601
369
+ help it make the most sense so what,873.839,3.601
370
+ we're going to do is we're gonna we're,875.94,3.54
371
+ gonna go on it on a user Journey so to,877.44,3.78
372
+ speak where we're going to start with,879.48,4.56
373
+ personal use what could you use a dow,881.22,5.22
374
+ for personally then we'll go up to Smart,884.04,4.68
375
+ Homes or family use cases Enterprise,886.44,5.519
376
+ corporate uh use cases communities such,888.72,6.059
377
+ as neighborhoods federal agencies and,891.959,4.081
378
+ then finally we'll get to Global,894.779,2.641
379
+ governance,896.04,3.9
380
+ okay so for a personal dial,897.42,6.12
381
+ imagine that you have you know we all,899.94,5.82
382
+ have electronic devices and electronic,903.54,4.44
383
+ accounts all over the place right you've,905.76,4.92
384
+ got social media you've got your news,907.98,4.32
385
+ feeds you've got your phone you've got,910.68,3.12
386
+ your smart home devices you've got your,912.3,5.76
387
+ car so imagine what happens when you,913.8,6.12
388
+ have multiple AI agents running,918.06,4.019
389
+ everywhere but you want that information,919.92,6.06
390
+ to be secure a personal area Dao is,922.079,6.361
391
+ probably a good place to put that right,925.98,4.08
392
+ because imagine that you're smart your,928.44,4.199
393
+ your smartphone has an AI agent an,930.06,4.26
394
+ autonomous AI agent it's running on your,932.639,3.721
395
+ phone all the time it's got some Cloud,934.32,3.54
396
+ connection stuff like it might back up,936.36,3.9
397
+ its data to the cloud but you want your,937.86,4.86
398
+ phone talking to your home and your TV,940.26,5.759
399
+ and your car but you need it to be,942.72,7.44
400
+ secure and autonomous and private so a,946.019,6.241
401
+ personal level Dow would be a good way,950.16,4.739
402
+ to achieve that so why what are the like,952.26,5.22
403
+ what are the outcomes obviously privacy,954.899,4.74
404
+ and security are are some of the primary,957.48,5.28
405
+ concern irons but then imagine all the,959.639,4.621
406
+ benefits that you get from just using,962.76,4.019
407
+ like chat GPT today like hey like what's,964.26,4.319
408
+ my wife up to can you send her a text,966.779,3.721
409
+ message real quick and then you know,968.579,4.681
410
+ your AI Dao can say okay like let's talk,970.5,5.399
411
+ to her send some message to her Dao and,973.26,5.04
412
+ so on and so forth one of my um I don't,975.899,4.8
413
+ want to like undercut anyone,978.3,4.02
414
+ um but one of my I had a really,980.699,3.601
415
+ interesting conversation with actually a,982.32,3.3
416
+ few people,984.3,4.5
417
+ um on Discord and and on patreon where,985.62,5.76
418
+ people are working on that kind of stuff,988.8,5.279
419
+ um and so like this is this is where I,991.38,5.04
420
+ get some of these ideas,994.079,6.541
421
+ um but like imagine that your that your,996.42,6.659
422
+ AI Dow keeps track of this kind of stuff,1000.62,4.56
423
+ that you do right so instead of instead,1003.079,3.541
424
+ of Google knowing everything that you do,1005.18,4.079
425
+ your personal AI Dell has your records,1006.62,5.339
426
+ of where you go what you do how you feel,1009.259,4.801
427
+ on a day-to-day basis like even imagine,1011.959,4.74
428
+ that your Fitbit is like part of your AI,1014.06,5.219
429
+ Dao so then it's all your data is,1016.699,4.981
430
+ self-contained it's not owned by a,1019.279,3.961
431
+ corporation out there somewhere it is,1021.68,4.739
432
+ owned by you but then you have multiple,1023.24,5.939
433
+ possibly even dozens or even hundreds of,1026.419,5.76
434
+ AI agents using that data to help you,1029.179,5.52
435
+ live better so that is one example of,1032.179,4.921
436
+ where a dow could be used for a personal,1034.699,4.5
437
+ level and this is this is relatively,1037.1,4.02
438
+ near term this is something like I said,1039.199,3.6
439
+ that that I know of people who are,1041.12,3.12
440
+ working on setting up this kind of thing,1042.799,3.181
441
+ today,1044.24,4.86
442
+ okay so take that one step further,1045.98,5.579
443
+ you have your personal area Dao your,1049.1,5.22
444
+ wife or boyfriend or partner or kids or,1051.559,4.98
445
+ parents or whatever they also have their,1054.32,3.719
446
+ personal area down,1056.539,3.541
447
+ these are also connected to your smart,1058.039,5.221
448
+ home devices as shared resources so say,1060.08,5.339
449
+ for instance your,1063.26,4.5
450
+ um your kitchen gets more automated and,1065.419,5.461
451
+ so the the automated kitchen is a shared,1067.76,6.299
452
+ resource that your personal Dao is forms,1070.88,6.24
453
+ a hierarchy with so it or maybe maybe,1074.059,4.921
454
+ hierarchy is not the right word maybe a,1077.12,5.28
455
+ federation so in technology a federation,1078.98,6.54
456
+ is independent nodes that form like,1082.4,6.06
457
+ bilateral alliances which I mean that's,1085.52,5.22
458
+ really just what a federation is,1088.46,3.9
459
+ um so imagine that your personal dial,1090.74,3.9
460
+ forms a federation with your home Dow,1092.36,4.679
461
+ and your home Dow also has a federation,1094.64,5.279
462
+ with your kids your partner any trusted,1097.039,4.741
463
+ friends that are allowed to come over so,1099.919,4.26
464
+ it keeps track of your identities which,1101.78,4.56
465
+ can help with home security but it also,1104.179,4.321
466
+ keeps track of dietary needs and health,1106.34,3.719
467
+ needs and so then like your fridge will,1108.5,4.02
468
+ be like hey you know it's five o'clock,1110.059,4.74
469
+ maybe like let's make some stir fry,1112.52,3.36
470
+ because that's your favorite thing to,1114.799,2.88
471
+ eat on Wednesdays or whatever,1115.88,4.14
472
+ that sort of stuff it can also work with,1117.679,4.981
473
+ your children to uh form uh to formally,1120.02,4.98
474
+ keep track of their education and their,1122.66,4.32
475
+ tutoring and and their and their,1125.0,3.96
476
+ information needs also their,1126.98,5.88
477
+ entertainment right uh if you once we,1128.96,5.64
478
+ get to a little bit more sophisticated,1132.86,4.02
479
+ robot home robots than roombas maybe,1134.6,3.84
480
+ they can even like replace your air,1136.88,3.78
481
+ filters and and water filters and stuff,1138.44,4.92
482
+ like that uh so by creating these,1140.66,6.06
483
+ bilateral federations of dows uh that,1143.36,4.86
484
+ again because Dallas are meant to be in,1146.72,2.94
485
+ a trustless environment but you,1148.22,3.24
486
+ establish those relationships where,1149.66,3.32
487
+ there can at least be,1151.46,4.92
488
+ bilateral communication then your,1152.98,5.74
489
+ personal Dao which is just an array of,1156.38,4.56
490
+ AI agents autonomous and semi-autonomous,1158.72,5.16
491
+ AI agents whose primary job is your,1160.94,4.619
492
+ health and well-being can then,1163.88,5.76
493
+ collaborate with other uh uh people and,1165.559,6.24
494
+ use maybe your home as a hub but again,1169.64,4.02
495
+ the federations like you can you,1171.799,3.841
496
+ Confederate your Dao with like your best,1173.66,4.019
497
+ friends now or whatever and then you can,1175.64,4.38
498
+ Federate your homes down with your best,1177.679,4.261
499
+ friend's home style so then it's like oh,1180.02,3.96
500
+ hey like let's let's make some plans,1181.94,3.72
501
+ like for instance I have a private,1183.98,4.559
502
+ Discord set up for uh my for my house,1185.66,4.92
503
+ here and then my uh brother and,1188.539,3.721
504
+ sister-in-law's house,1190.58,3.54
505
+ um so imagine if that was automated like,1192.26,3.96
506
+ hey what what's uh what's my,1194.12,3.54
507
+ sister-in-law up to today let's go,1196.22,2.88
508
+ gardening or let's go hiking or,1197.66,2.399
509
+ something,1199.1,3.42
510
+ anyways getting highly speculative there,1200.059,4.74
511
+ I think you get the idea though is that,1202.52,5.76
512
+ is that a Dao is a way to create these,1204.799,6.541
513
+ ad hoc networks of AI agents that,1208.28,4.68
514
+ support us,1211.34,4.5
515
+ so going one step bigger,1212.96,4.5
516
+ we already mentioned this a little bit,1215.84,4.62
517
+ because uh blockchain is most interested,1217.46,7.02
518
+ uh most interest use is in blockchain in,1220.46,6.0
519
+ corporate use cases sorry I said that a,1224.48,3.72
520
+ little bit awkwardly,1226.46,3.78
521
+ um so imagine that you go a little bit,1228.2,4.979
522
+ bigger not just blockchain for Supply,1230.24,5.22
523
+ Chain management not just blockchain for,1233.179,5.101
524
+ financial tracking but what if you have,1235.46,4.68
525
+ your autonomous Workforce whether it's,1238.28,4.139
526
+ robots or digital agents like you know,1240.14,5.279
527
+ Auto GPT those sorts of things all,1242.419,6.241
528
+ collaborating on Adele so there's been,1245.419,5.161
529
+ plenty of experiments where people said,1248.66,4.74
530
+ like they made chat GPT CEO right what,1250.58,4.8
531
+ if you actually formalize that and so,1253.4,4.92
532
+ then instead of having one agent as CEO,1255.38,4.919
533
+ you have a board of hundreds or,1258.32,4.8
534
+ thousands of autonomous AI agents,1260.299,4.281
535
+ collaborating together,1263.12,3.96
536
+ to form your your board of directors,1264.58,6.04
537
+ basically uh then you can do that's at,1267.08,5.099
538
+ the highest level but then at the lowest,1270.62,3.36
539
+ level you can also automate your,1272.179,3.481
540
+ Workforce look at the meme at the very,1273.98,3.72
541
+ big beginning of the video where we,1275.66,5.16
542
+ talked about using you know AI to write,1277.7,5.28
543
+ and read emails putting all that,1280.82,3.9
544
+ information on a dow so that it is,1282.98,3.72
545
+ transparent and all the decisions that,1284.72,6.0
546
+ are made can be tracked that is one of,1286.7,6.0
547
+ the best ways to address that corporate,1290.72,4.319
548
+ governance because explainability and,1292.7,4.44
549
+ tracking who who decided what when and,1295.039,4.921
550
+ why and who approved this because oh man,1297.14,5.34
551
+ coming from the IT world change controls,1299.96,5.52
552
+ nightmare for any I.T people out there,1302.48,4.86
553
+ imagine that you're that your Change,1305.48,3.84
554
+ Control meetings all done on a dow,1307.34,5.579
555
+ automatically that's the way to go,1309.32,6.78
556
+ um then you know because all that,1312.919,5.161
557
+ information is transparent because AI,1316.1,4.199
558
+ can work tirelessly imagine that your,1318.08,4.38
559
+ company continuously self-optimizes,1320.299,3.901
560
+ right this is getting a little bit more,1322.46,3.719
561
+ speculative but this is within the realm,1324.2,4.2
562
+ of possibility,1326.179,4.441
563
+ going even bigger I already mentioned,1328.4,6.3
564
+ the possibility of um HOAs right so if,1330.62,7.14
565
+ any I have avoided HOAs like the plague,1334.7,4.44
566
+ um because you always have that,1337.76,2.94
567
+ Persnickety neighbor who has nothing,1339.14,3.419
568
+ better to do than just be a busybody and,1340.7,4.02
569
+ cause Havoc for other people often,1342.559,4.081
570
+ because they're bored or lonely or just,1344.72,4.02
571
+ miserly or whatever people become,1346.64,4.86
572
+ regions whatever reason it is they're,1348.74,5.4
573
+ they can be difficult now imagine that,1351.5,4.98
574
+ you take that and instead of you know,1354.14,4.8
575
+ humans having to attend meetings you,1356.48,4.5
576
+ have your personal Dow go and advocate,1358.94,4.44
577
+ for you on your neighborhood Dow and,1360.98,4.439
578
+ it'll go and talk for you and say you,1363.38,3.659
579
+ know this is what Dave's house needs,1365.419,4.74
580
+ these this is our beliefs and then you,1367.039,6.0
581
+ know Joanne Susan over there who is a,1370.159,4.621
582
+ busybody who has nothing better to do,1373.039,3.361
583
+ than spying her neighbors,1374.78,3.12
584
+ she doesn't even get to go to the,1376.4,3.24
585
+ meetings it's her personal to Algos and,1377.9,4.32
586
+ advocates for her the AIS discuss,1379.64,4.919
587
+ everything and come up with a legally,1382.22,6.24
588
+ viable and and and Community accepted,1384.559,5.941
589
+ solution based on the acceptance,1388.46,4.44
590
+ criteria and consensus mechanisms that,1390.5,4.919
591
+ everyone agrees on now that's just,1392.9,5.1
592
+ replacing HOA with a doubt what if we go,1395.419,5.161
593
+ one step further there's all kinds of,1398.0,4.679
594
+ stuff going on like co-living Eco,1400.58,3.32
595
+ Villages,1402.679,5.161
596
+ resource sharing ride sharing adao is a,1403.9,6.519
597
+ really good way to share those resources,1407.84,5.699
598
+ whether you've got solar panels shared,1410.419,4.14
599
+ water,1413.539,4.26
600
+ uh shared Vehicles all those kinds of,1414.559,5.581
601
+ things make a lot of sense to put on a,1417.799,4.921
602
+ dow because blockchain is a good way to,1420.14,4.74
603
+ track those so say for instance you know,1422.72,4.56
604
+ I put solar on my house and I produce,1424.88,5.7
605
+ 5000 uh extra Watts today that,1427.28,6.06
606
+ information is just stored on the dowel,1430.58,5.16
607
+ says Dave's house produced an extra you,1433.34,4.94
608
+ know 5000 Watts on April whatever,1435.74,5.46
609
+ and then everyone else like gets to,1438.28,4.6
610
+ track that and it's like okay in,1441.2,3.959
611
+ exchange for that and that that uh that,1442.88,4.32
612
+ energy that you gave back you know you,1445.159,4.201
613
+ get a few cryptocurrency tokens or,1447.2,3.12
614
+ whatever,1449.36,2.52
615
+ um that you can spend later in your,1450.32,3.54
616
+ community say for instance for Rideshare,1451.88,5.039
617
+ or you know if you want you know the,1453.86,5.699
618
+ neighborhood kid to mow your your yard,1456.919,4.201
619
+ um you pay him in that crypto or,1459.559,3.841
620
+ whatever something like that,1461.12,4.86
621
+ um so that is one way and it can go even,1463.4,4.62
622
+ one step further because what happens,1465.98,4.679
623
+ once you have more autonomous machine,1468.02,4.56
624
+ peripherals not just autonomous agents,1470.659,4.26
625
+ but autonomous machine peripherals that,1472.58,4.2
626
+ can be managed by the Dow What If,1474.919,3.841
627
+ instead of having the neighborhood kid,1476.78,4.379
628
+ mowed the yard there's uh you use the,1478.76,5.34
629
+ the most recent like John Deere uh,1481.159,5.161
630
+ autonomous tractor and so then your,1484.1,4.14
631
+ neighborhood or you know your your town,1486.32,4.739
632
+ or whatever owns that tractor and you,1488.24,4.74
633
+ can you can spend some of your solar,1491.059,4.321
634
+ crypto tokens to have it mow your yard,1492.98,3.96
635
+ for you automatically,1495.38,4.26
636
+ fully autonomous self-managed that sort,1496.94,3.96
637
+ of thing,1499.64,4.98
638
+ going one step bigger what if over time,1500.9,5.82
639
+ as we build trust and solve problems,1504.62,3.9
640
+ because like I said at the beginning,1506.72,4.199
641
+ blockchain and DOW still very immature,1508.52,4.26
642
+ Technologies they are not ready for this,1510.919,4.561
643
+ this is like years away so what I'm do,1512.78,5.46
644
+ this is aspirational thinking but,1515.48,4.74
645
+ imagine that you know 10 years from now,1518.24,4.5
646
+ 20 years from now however long it takes,1520.22,4.62
647
+ we build trust and we solve these,1522.74,4.08
648
+ problems and we start delegating all,1524.84,5.339
649
+ kinds of resources and management,1526.82,5.76
650
+ two things like AI dows,1530.179,3.841
651
+ tax management,1532.58,4.38
652
+ so the tax tax collection is done,1534.02,6.42
653
+ equitably and equally we uh we get rid,1536.96,5.819
654
+ of the IRS as it is today because it is,1540.44,3.839
655
+ slow and inefficient it is literally,1542.779,3.661
656
+ designed to be slow,1544.279,4.621
657
+ um you uh streamline Health Care,1546.44,5.7
658
+ insurance providers uh you manage,1548.9,4.92
659
+ education,1552.14,3.539
660
+ um with all this stuff uh all the,1553.82,3.839
661
+ infrastructure projects pretty much,1555.679,5.341
662
+ every individual agency one by one could,1557.659,5.821
663
+ either benefit from implementing,1561.02,4.92
664
+ something like an AI Dow or wholesale,1563.48,4.679
665
+ being replaced by an AI Dell honestly,1565.94,5.88
666
+ because my prediction is that as we,1568.159,5.88
667
+ figure out AI we will realize that,1571.82,4.44
668
+ humans are the weakest link in all,1574.039,3.301
669
+ things,1576.26,3.299
670
+ um in technology we have we have a few,1577.34,5.339
671
+ acronyms so there's an id10t error which,1579.559,6.48
672
+ is a idiot there's a layer 8 issue so if,1582.679,5.581
673
+ you're familiar with the OSI model layer,1586.039,5.88
674
+ 7 is application and layer 8 is user in,1588.26,6.48
675
+ most cases it's a layer 8 issue and then,1591.919,5.041
676
+ there's pepcac which is a problem exists,1594.74,5.12
677
+ between keyboard and chair,1596.96,5.699
678
+ so you get rid of the weakest link from,1599.86,4.72
679
+ all technology problems which is humans,1602.659,4.441
680
+ and you replace it with AI Dows and I,1604.58,5.339
681
+ think that we'll be in better shape,1607.1,5.459
682
+ um now one step bigger this is the most,1609.919,5.221
683
+ aspirational aspect that I have to pitch,1612.559,5.341
684
+ today and this is prop this is honestly,1615.14,4.98
685
+ probably decades away because one,1617.9,4.62
686
+ there's they're just at the low level,1620.12,4.38
687
+ there's a lot of technical problems that,1622.52,4.44
688
+ we have to solve before we can get to,1624.5,5.58
689
+ the possibility of a global AI dial,1626.96,4.86
690
+ beyond that there's geopolitical,1630.08,3.839
691
+ problems that we have to solve ain't no,1631.82,4.739
692
+ way most Nations on the on the on the,1633.919,5.341
693
+ planet today are going to decide to form,1636.559,5.881
694
+ Dao alliances and form a hierarchy of,1639.26,5.58
695
+ alliances right we just had Britain,1642.44,4.38
696
+ leave the European Union,1644.84,3.3
697
+ um because they didn't agree with some,1646.82,3.3
698
+ of the policies no way they're going to,1648.14,3.48
699
+ form a dow yet so this could be like,1650.12,4.32
700
+ centuries away but it is hypothetically,1651.62,5.22
701
+ within the realm of possibility and so,1654.44,4.76
702
+ you take all these ideas of,1656.84,4.52
703
+ consensus-based mechanisms,1659.2,4.78
704
+ algorithmic participation algorithmic,1661.36,4.54
705
+ decision making,1663.98,5.22
706
+ um which consensus is basically the,1665.9,5.7
707
+ purpose of democracy right democracy is,1669.2,5.099
708
+ is uh representative democracy is a way,1671.6,5.28
709
+ to arrive at political consensus What If,1674.299,3.961
710
+ eventually you kind of replace that with,1676.88,3.299
711
+ Dows and not just the decision-making,1678.26,5.1
712
+ process in which your personal Dao,1680.179,6.24
713
+ represents your interest globally but,1683.36,5.64
714
+ then you also use these to autonomously,1686.419,5.76
715
+ manage resources projects and all kinds,1689.0,5.1
716
+ of stuff so some of the examples I came,1692.179,4.261
717
+ up with is climate stewardship obviously,1694.1,4.92
718
+ we can't agree on that yet so you know,1696.44,4.859
719
+ we'll we'll uh we'll table that for,1699.02,5.1
720
+ later ecosystem preservation so this,1701.299,3.901
721
+ goes to,1704.12,3.539
722
+ um to monitoring and managing,1705.2,4.8
723
+ um uh indicators so for instance like,1707.659,5.161
724
+ the EPA European Union all kinds of,1710.0,4.38
725
+ agencies monitor things like,1712.82,3.599
726
+ biodiversity and health of the,1714.38,3.96
727
+ environment put all that information on,1716.419,4.5
728
+ a dow it makes sense resource,1718.34,5.1
729
+ optimization so this includes,1720.919,5.821
730
+ um things like natural resources uh and,1723.44,5.66
731
+ common resources Like Water and Air,1726.74,5.22
732
+ Global health is another thing so,1729.1,5.5
733
+ whether it is monitoring for future,1731.96,4.26
734
+ pandemics because we know that that can,1734.6,4.4
735
+ happen but also medical information,1736.22,7.98
736
+ imagine uh a global medical Dow that all,1739.0,7.299
737
+ of your diagnostic information is,1744.2,4.26
738
+ de-identified obviously but shared on,1746.299,4.38
739
+ the on the global Dow which can then be,1748.46,5.76
740
+ used to train better models for Better,1750.679,4.801
741
+ Health Care,1754.22,4.14
742
+ and then the cut the overall cost of,1755.48,5.16
743
+ healthcare continues to go down with the,1758.36,5.58
744
+ aid of AI and Global AI dows,1760.64,5.7
745
+ Disaster Response many of us remember,1763.94,4.92
746
+ the tsunamis that hit Japan and much of,1766.34,5.339
747
+ South Asia there's hurricanes there's,1768.86,4.86
748
+ tornadoes there's landslides,1771.679,4.441
749
+ there's all kinds of things where having,1773.72,4.679
750
+ a fully autonomous AI system that can,1776.12,6.24
751
+ react instantly or even proactively,1778.399,6.081
752
+ that could really help save lives,1782.36,4.38
753
+ peacekeeping and diplomacy so I,1784.48,3.88
754
+ mentioned in a previous video that that,1786.74,4.14
755
+ I've I've interviewed or no I was,1788.36,4.74
756
+ interviewed by someone in the state,1790.88,5.22
757
+ department he wrote about it I I don't I,1793.1,4.319
758
+ don't remember where he posted I think,1796.1,3.84
759
+ it was on medium but anyways,1797.419,5.221
760
+ um he told me about how folks in the,1799.94,4.26
761
+ state department in the Diplomatic Corps,1802.64,4.38
762
+ are already using chat GPT to help them,1804.2,5.76
763
+ do their work take that one logical step,1807.02,5.22
764
+ further and instead of you know humans,1809.96,3.839
765
+ arguing with each other and because,1812.24,3.96
766
+ we're emotional we're egotistical what,1813.799,6.421
767
+ if a a majority of diplomacy and,1816.2,5.219
768
+ peacekeeping is actually done,1820.22,5.1
769
+ algorithmically by AI take the human out,1821.419,6.321
770
+ of the loop and then you know,1825.32,5.04
771
+ consensuses reach proposals are adopted,1827.74,4.6
772
+ so on and so forth,1830.36,3.96
773
+ you know that's just one possibility,1832.34,4.68
774
+ space that space exploration Universal,1834.32,5.28
775
+ Prosperity Collective wisdom you put all,1837.02,5.639
776
+ of human desires whether it is to get,1839.6,5.22
777
+ off Planet whether it is to solve,1842.659,5.101
778
+ nuclear fusion or you know however it is,1844.82,5.88
779
+ that we all collectively want to live,1847.76,6.36
780
+ the things that we agree on can all be,1850.7,5.88
781
+ integrated into that Global Dao and then,1854.12,4.559
782
+ that Dao can help us Implement those,1856.58,4.92
783
+ things and then finally uh this was my,1858.679,4.38
784
+ favorite one from the brainstorming,1861.5,3.84
785
+ session was planetary guardianship which,1863.059,3.961
786
+ is what Tony Stark tried to do with,1865.34,3.78
787
+ Ultron but he needed blockchain and he,1867.02,5.1
788
+ needed consensus so you know take it,1869.12,4.679
789
+ with a grain of salt,1872.12,4.5
790
+ okay so I walked you through a whole,1873.799,3.781
791
+ bunch of,1876.62,3.36
792
+ imagination imaginary possibilities,1877.58,5.94
793
+ let's let's take a a little uh a little,1879.98,5.4
794
+ bit more practical example,1883.52,4.92
795
+ let's imagine in 2026 so just a few,1885.38,6.06
796
+ years from now Franklin Township doubt,1888.44,5.459
797
+ population 3200,1891.44,5.16
798
+ typical rural American town,1893.899,6.961
799
+ uh town is pretty much broke due to AI,1896.6,6.84
800
+ layoffs that sort of stuff nobody can,1900.86,4.679
801
+ afford anything the town doesn't even,1903.44,4.2
802
+ have a mayor they have no full-time,1905.539,4.681
803
+ police they only have like a few uh,1907.64,5.159
804
+ volunteer firefighters everything is,1910.22,4.319
805
+ poorly managed because the economy has,1912.799,3.541
806
+ just totally collapsed,1914.539,5.221
807
+ Along Comes A cloud-based AI Dow company,1916.34,5.88
808
+ that says hey for five thousand dollars,1919.76,7.019
809
+ a year you will get high-end AI dial,1922.22,6.9
810
+ management of your entire town,1926.779,5.041
811
+ they say fine we can afford that,1929.12,5.22
812
+ so they sign up everyone in the in the,1931.82,5.28
813
+ township gets a phone app that allows,1934.34,4.8
814
+ them to connect their personal Dao or,1937.1,4.319
815
+ even just use the phone app to,1939.14,4.019
816
+ communicate with the entire rest of the,1941.419,3.901
817
+ town in terms of what they need what are,1943.159,3.961
818
+ they complaining about so say for,1945.32,3.42
819
+ instance there's a pothole you just take,1947.12,3.6
820
+ a picture put it in the in the uh the,1948.74,4.919
821
+ township AI Dao and it says got it we,1950.72,5.22
822
+ know it we'll take care of it,1953.659,3.0
823
+ um,1955.94,2.94
824
+ there can also be kiosks because not,1956.659,3.661
825
+ everyone is going to use a phone so you,1958.88,3.179
826
+ have like kiosks at like you know town,1960.32,3.839
827
+ hall or the bank or whatever,1962.059,3.781
828
+ um so that you and it you know uses face,1964.159,4.02
829
+ tracking voice uh recognition and that,1965.84,4.26
830
+ sort of thing so that you can also go,1968.179,6.421
831
+ and talk to the AIS about issues say for,1970.1,6.24
832
+ instance there's a safety concern,1974.6,4.26
833
+ because you know there's strange people,1976.34,4.5
834
+ coming through town you talk about it,1978.86,3.9
835
+ you add your information and then the,1980.84,4.5
836
+ town might ultimately decide hey we need,1982.76,5.279
837
+ to hire a a police officer or a security,1985.34,7.26
838
+ officer to patrol the streets or let's,1988.039,6.301
839
+ say you know the roads are in really bad,1992.6,3.419
840
+ shape so you say,1994.34,4.74
841
+ do we uh get a contract to maintain the,1996.019,4.321
842
+ roads or do we maintain the roads,1999.08,2.76
843
+ ourselves that sort of thing that's what,2000.34,3.78
844
+ I mean by consensus process,2001.84,5.339
845
+ now on top of just having that,2004.12,5.46
846
+ algorithmic consensus process they also,2007.179,6.061
847
+ have the benefit of high highly uh ex,2009.58,6.18
848
+ High expert AIS to help manage,2013.24,4.86
849
+ everything because one thing that can,2015.76,4.44
850
+ happen particularly in rural places and,2018.1,3.6
851
+ that this is not just in America this is,2020.2,5.219
852
+ globally is brain drain and so most,2021.7,5.219
853
+ places will do the best that they can,2025.419,3.421
854
+ but if all the smartest people leave,2026.919,3.421
855
+ your town because they left for the big,2028.84,3.719
856
+ city you might not have the expertise,2030.34,4.5
857
+ left to do anything this is also true,2032.559,3.72
858
+ for companies which we'll talk about in,2034.84,3.42
859
+ just a minute companies can suffer from,2036.279,4.14
860
+ brain drain too so imagine this AI,2038.26,4.5
861
+ provider brings you all the expertise,2040.419,6.301
862
+ that is that is embedded in gpt4 gpt5,2042.76,6.24
863
+ the open source versions and the,2046.72,4.679
864
+ competitors that are coming and it,2049.0,4.5
865
+ algorithmically finds consensus and,2051.399,5.7
866
+ manages the town with high-end expertise,2053.5,6.899
867
+ so ultimately Franklin town the township,2057.099,6.24
868
+ of Franklin population 3200 three years,2060.399,5.52
869
+ from now they're back on track things,2063.339,5.461
870
+ are are being more well managed Town,2065.919,5.161
871
+ revenues are going up costs are going,2068.8,4.559
872
+ down and people are happier not only,2071.08,3.48
873
+ that the town is actually more,2073.359,3.54
874
+ attractive so some of the tech Bros like,2074.56,4.079
875
+ myself say hey why don't we move out to,2076.899,4.141
876
+ Franklin uh Franklin Township because,2078.639,4.081
877
+ it's cheaper and it's a pleasant little,2081.04,4.099
878
+ town now,2082.72,6.419
879
+ two years later Washington County where,2085.139,6.22
880
+ Franklin is says hey you know what,2089.139,5.04
881
+ they've been doing a really good job why,2091.359,5.221
882
+ don't we uh instead of instead of,2094.179,5.821
883
+ selling all of our Farmland to gigantic,2096.58,5.64
884
+ corporations what if we buy back that,2100.0,4.2
885
+ farmland and we manage it collectively,2102.22,4.56
886
+ with a dow so the so the Washington,2104.2,6.18
887
+ County Farm Dow creates a farm to table,2106.78,5.22
888
+ initiative,2110.38,3.78
889
+ um and also commercial initiative,2112.0,5.04
890
+ but the Dow is used to purchase the land,2114.16,5.82
891
+ bit by bit it controls the tractors the,2117.04,6.059
892
+ equipment all the contracts and it,2119.98,5.099
893
+ provides the local citizens jobs because,2123.099,4.321
894
+ the Dow can't do everything say for,2125.079,3.661
895
+ instance you have a tractor breakdown,2127.42,3.659
896
+ and it's like oh hey uh we know that,2128.74,4.32
897
+ Dave is pretty handy so let's you know,2131.079,3.54
898
+ Dave will get a little notification on,2133.06,3.059
899
+ his phone app saying hey you know,2134.619,3.841
900
+ tractor 42b broke down can you go take a,2136.119,4.381
901
+ look at it and it's like even if I can't,2138.46,3.42
902
+ fix it it's like just go take some,2140.5,2.64
903
+ pictures with your phone and listen to,2141.88,3.66
904
+ it something like that,2143.14,4.14
905
+ um and so then you know for that little,2145.54,3.6
906
+ bit of work that I do I get a little bit,2147.28,3.6
907
+ of extra cryptocurrency tokens which I,2149.14,4.26
908
+ can spend at the bar later if I want,2150.88,5.58
909
+ um then once the once the food is,2153.4,6.06
910
+ planted and it's harvested we all get to,2156.46,4.44
911
+ share some of the revenue because it's,2159.46,3.36
912
+ going to be probably you know sold at a,2160.9,3.78
913
+ co-op or at the grocery store it can,2162.82,4.38
914
+ also be sold on the open market and in,2164.68,4.14
915
+ that case the whole thing pays for,2167.2,4.2
916
+ itself and we the residents of,2168.82,4.86
917
+ Washington County are this are the,2171.4,4.98
918
+ primary stake holder and owner of this,2173.68,4.74
919
+ resource we cut out the middlemen no,2176.38,3.84
920
+ corporations anymore,2178.42,4.5
921
+ so again this is very very aspirational,2180.22,4.379
922
+ I don't know if it's even possible but,2182.92,3.72
923
+ it is hypothetically possible and I'd,2184.599,4.201
924
+ like to see someone try it,2186.64,5.82
925
+ now a few years later imagine that you,2188.8,6.72
926
+ know the Washington County ISP is,2192.46,5.04
927
+ organized by Adele right the farm was a,2195.52,4.62
928
+ was a raging success so we moved the the,2197.5,4.38
929
+ Washington County power you know the,2200.14,4.14
930
+ solar array over to Adele we moved,2201.88,3.84
931
+ management of the of the internet,2204.28,4.319
932
+ service provider over to Adele but also,2205.72,5.22
933
+ by this time by 2030 so seven years from,2208.599,4.561
934
+ now lots of other people are doing this,2210.94,4.2
935
+ so remember I talked about the idea of,2213.16,4.86
936
+ federating dows so what if every county,2215.14,5.52
937
+ in the state starts to do the same thing,2218.02,4.319
938
+ and then you Federate your Dows together,2220.66,4.439
939
+ to manage uh resources whether it's,2222.339,6.78
940
+ power internet Farms roads all of that,2225.099,6.421
941
+ stuff and eventually it gets to be a,2229.119,5.22
942
+ bigger and bigger set of alliances each,2231.52,4.8
943
+ of them advocating for their own needs,2234.339,4.141
944
+ and that information being integrated,2236.32,5.16
945
+ via consensus mechanisms and worked on,2238.48,6.3
946
+ by high-end language models to discuss,2241.48,6.06
947
+ it out and then one thing I want to,2244.78,4.02
948
+ point out is that there's no profit mode,2247.54,3.539
949
+ of here at least not from a corporate,2248.8,3.779
950
+ perspective not from a shareholder,2251.079,3.841
951
+ perspective the profit motive like so,2252.579,3.961
952
+ say for instance the Washington County,2254.92,3.659
953
+ Farm Dow there might be a profit motive,2256.54,4.44
954
+ to earn revenue for the you know,2258.579,4.921
955
+ citizens of Washington County but they,2260.98,4.08
956
+ are also the stakeholders,2263.5,3.359
957
+ and in this case for the national ISP,2265.06,3.9
958
+ Dow there's absolutely no profit motive,2266.859,5.581
959
+ the goal is just to provide uh consensus,2268.96,6.24
960
+ which in the case of an ISP Dow is,2272.44,4.5
961
+ provide everyone high-end internet,2275.2,4.2
962
+ whatever it takes,2276.94,5.34
963
+ then finally after a few more years,2279.4,5.58
964
+ again the government is slow by Design,2282.28,4.1
965
+ that's fine,2284.98,5.4
966
+ many cities counties and states are all,2286.38,7.36
967
+ adopting these AI Dows for all kinds of,2290.38,5.76
968
+ purposes obviously there's a lot of,2293.74,4.14
969
+ problems to overcome you know security,2296.14,3.959
970
+ we need to figure out consensus we need,2297.88,4.44
971
+ to make sure that we know we even know,2300.099,4.081
972
+ how to integrate large language models,2302.32,4.019
973
+ with with blockchain that is an open,2304.18,4.74
974
+ area of research but imagine that we,2306.339,5.161
975
+ figure out these problems and then over,2308.92,4.679
976
+ time all of these things get integrated,2311.5,4.5
977
+ and built into larger and larger systems,2313.599,6.181
978
+ and finally just by default one agency,2316.0,6.3
979
+ after another such as like the EPA or,2319.78,5.7
980
+ the um or the uh what is it the national,2322.3,6.12
981
+ um what is it the energy one anyways,2325.48,5.52
982
+ every governmental agency is run more,2328.42,6.419
983
+ and more by Dows and then ultimately we,2331.0,6.24
984
+ realize like hey the entire country is,2334.839,5.641
985
+ fully autonomous based on AI Dow,2337.24,5.4
986
+ technology,2340.48,3.24
987
+ so,2342.64,6.18
988
+ I have given you quite a uh let's say as,2343.72,7.98
989
+ I mentioned aspirational Journey,2348.82,6.12
990
+ um one thing that occurs to me is that,2351.7,7.379
991
+ by integrating uh AI with blockchain and,2354.94,6.84
992
+ Dell this is probably the best path to,2359.079,6.54
993
+ AGI and and not only that but safe and,2361.78,7.5
994
+ controllable AGI because one thing is,2365.619,7.621
995
+ that it by integrating AI with dowels,2369.28,6.42
996
+ with humans that intrinsically keeps,2373.24,5.76
997
+ humans in the loop for all time and this,2375.7,5.399
998
+ the Dow creates a natural place for,2379.0,5.0
999
+ humans and machines to collaborate,2381.099,7.201
1000
+ so also because of consensus mechanisms,2384.0,7.54
1001
+ you get Collective power basically,2388.3,5.0
1002
+ collective bargaining power,2391.54,4.26
1003
+ which also helps prevent you know,2393.3,4.36
1004
+ radical and Rogue decisions from being,2395.8,3.84
1005
+ made because if someone goes way off the,2397.66,4.02
1006
+ deep end the whole you know the rest of,2399.64,3.36
1007
+ the network the rest of the Dow is going,2401.68,3.06
1008
+ to say let's not do that but let's,2403.0,4.32
1009
+ address your concerns in another way in,2404.74,4.619
1010
+ a healthier more constructive way and,2407.32,5.46
1011
+ that is algorithmically enforced now one,2409.359,5.401
1012
+ thing that I do want to concede is that,2412.78,5.04
1013
+ this that this idea of AI Dao does not,2414.76,7.2
1014
+ intrinsically solve the Malik problem,2417.82,6.539
1015
+ um and for a quick recap the Malik,2421.96,5.28
1016
+ problem is that even if everything is,2424.359,4.5
1017
+ Opera operating,2427.24,3.9
1018
+ um in an optimal State you might still,2428.859,5.101
1019
+ be on an intrinsic uh backslide towards,2431.14,5.28
1020
+ dystopia or Extinction so for instance,2433.96,4.86
1021
+ you know if your life is going perfectly,2436.42,4.02
1022
+ where you've got a good job you've got a,2438.82,3.84
1023
+ family you've got kids and everyone else,2440.44,4.139
1024
+ is doing the same thing we might still,2442.66,3.419
1025
+ consume all the resources on the planet,2444.579,4.081
1026
+ so that is the that is a really short,2446.079,4.861
1027
+ way of explaining the Malik problem now,2448.66,4.98
1028
+ that being said if we have true,2450.94,4.679
1029
+ consensus and we achieve Global,2453.64,4.56
1030
+ consensus we might be able to rein in,2455.619,4.98
1031
+ some of the molecule driving forces like,2458.2,4.68
1032
+ corporate greed that are one of the,2460.599,4.321
1033
+ contributing factors towards you know,2462.88,4.68
1034
+ environmental collapse true true Global,2464.92,4.8
1035
+ consensus might also rein in global,2467.56,5.76
1036
+ conflict and disagreements in war that,2469.72,6.899
1037
+ also threatens to harm Humanity,2473.32,5.58
1038
+ also given everything that I've laid out,2476.619,4.5
1039
+ and a lot of this stuff is is a work in,2478.9,4.98
1040
+ progress one big strength of this is,2481.119,5.941
1041
+ that it is a very realistic path forward,2483.88,6.66
1042
+ so I hope that that all makes sense,2487.06,5.64
1043
+ um and as a final thought many of you,2490.54,4.799
1044
+ are aware of my research on alignment,2492.7,4.68
1045
+ which I call the heuristic imperatives,2495.339,3.721
1046
+ so the heroistic imperatives for review,2497.38,3.0
1047
+ in case you haven't heard of it before,2499.06,3.36
1048
+ is to reduce suffering in the universe,2500.38,3.66
1049
+ to increase prosperity in the universe,2502.42,3.179
1050
+ and increase understanding in the,2504.04,4.5
1051
+ universe so if you imbue,2505.599,5.52
1052
+ those values into an individual language,2508.54,4.5
1053
+ model that's great right it's pretty,2511.119,3.421
1054
+ easy to do I've done fine-tuning,2513.04,3.299
1055
+ experiments you can use it with system,2514.54,3.84
1056
+ prompts it's not a big deal,2516.339,3.481
1057
+ we're going to be doing more research,2518.38,3.18
1058
+ and Publishing more findings and data,2519.82,3.539
1059
+ and data sets so that it's easier to,2521.56,5.16
1060
+ align even open source Foundation models,2523.359,6.48
1061
+ to my heuristic imperatives however that,2526.72,6.0
1062
+ is just one agent one model in a much,2529.839,4.561
1063
+ larger ecosystem,2532.72,4.32
1064
+ if you then include the heroes to,2534.4,6.3
1065
+ comparatives as a consensus mechanism in,2537.04,6.18
1066
+ your dowels so say for instance your,2540.7,4.8
1067
+ personal dial the consensus mechanism,2543.22,4.5
1068
+ for all the eight all the AI agents that,2545.5,4.2
1069
+ use is that it must increase it must,2547.72,3.54
1070
+ reduce your suffering increase your,2549.7,2.76
1071
+ prosperity and increase your,2551.26,3.96
1072
+ understanding that can be a way to help,2552.46,6.0
1073
+ steer your Dow to maximize the value of,2555.22,5.16
1074
+ your life and I don't mean value like,2558.46,3.96
1075
+ economic value I mean the the subjective,2560.38,5.28
1076
+ personal value for you to your life and,2562.42,6.24
1077
+ so what I'm recommending is that we not,2565.66,4.26
1078
+ just recommending this is something that,2568.66,3.419
1079
+ we're working on in my um heuristics,2569.92,4.56
1080
+ imperative research Group which oh by,2572.079,3.661
1081
+ the way if you want to join there's a,2574.48,3.3
1082
+ link in the description it's a Google,2575.74,4.379
1083
+ form fill it out please provide detail,2577.78,4.319
1084
+ if you don't provide much detail we,2580.119,3.361
1085
+ don't have much to go on so we kind of,2582.099,4.921
1086
+ ignore those but basically,2583.48,7.859
1087
+ uh the the One Direction of research is,2587.02,6.24
1088
+ to use heuristic imperatives as a,2591.339,4.801
1089
+ consensus mechanism such that only,2593.26,5.04
1090
+ aligned AI,2596.14,3.84
1091
+ um is allowed to participate in Dallas,2598.3,4.019
1092
+ uh which will intrinsically exclude,2599.98,6.72
1093
+ malicious AI uh whatever whatever means,2602.319,7.141
1094
+ they use to gain their alignment right,2606.7,5.7
1095
+ whether you know an AI agent uses my,2609.46,4.139
1096
+ heroes to comparatives or not is,2612.4,4.5
1097
+ irrelevant if the Dow adopts the,2613.599,5.22
1098
+ heuristic imperatives as the gating,2616.9,4.32
1099
+ mechanism as the consensus mechanism to,2618.819,5.04
1100
+ automatically accept ideas and data from,2621.22,6.48
1101
+ otherwise unknown autonomous agents,2623.859,7.381
1102
+ um so I think that that is a pretty uh,2627.7,6.24
1103
+ insightful uh direction to go,2631.24,4.74
1104
+ um so as a quick recap there are now,2633.94,4.86
1105
+ three primary ways to implement uh,2635.98,4.8
1106
+ heuristic imperatives one is through,2638.8,3.66
1107
+ fine-tuning and reinforcement learning,2640.78,3.9
1108
+ as I mentioned research papers and data,2642.46,4.92
1109
+ sets are coming the second is in,2644.68,5.159
1110
+ blockchain and DOW technology and third,2647.38,5.4
1111
+ is in architectural design patterns such,2649.839,4.921
1112
+ as task orchestration and stuff like,2652.78,3.539
1113
+ that which a lot of you are familiar,2654.76,4.079
1114
+ with now that um cognitive architectures,2656.319,5.76
1115
+ are becoming more commonplace so all,2658.839,4.921
1116
+ that being said thank you for watching I,2662.079,3.661
1117
+ hope that you got a lot out of this,2663.76,3.3
1118
+ um please get in touch either via,2665.74,3.48
1119
+ patreon or the Forum or wherever else,2667.06,4.08
1120
+ that you can find me if you're,2669.22,3.3
1121
+ interested in participating or,2671.14,4.5
1122
+ contributing have a good one,2672.52,5.66
1123
+ bye,2675.64,2.54
Accelerating Science with AI Quickly Read Every Paper and Get Key Insights in Bulk_transcript.csv ADDED
@@ -0,0 +1,560 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everybody David Shapiro here with,0.659,3.781
3
+ another video so it's a really exciting,2.76,5.28
4
+ time because research is accelerating,4.44,5.699
5
+ um just in the last couple days a whole,8.04,3.66
6
+ bunch of interesting papers have come,10.139,5.521
7
+ out on archive and um you know I I could,11.7,6.24
8
+ read them all myself the the hard way,15.66,4.44
9
+ the long way but you know what I'm,17.94,5.759
10
+ really lazy and you know how uh Mr Henry,20.1,5.519
11
+ Ford he said uh allegedly said I don't,23.699,2.881
12
+ know if he actually said this but he,25.619,2.941
13
+ said uh give your hardest problems to,26.58,3.42
14
+ the laziest Engineers because they'll,28.56,3.24
15
+ find an easier way to do it that's me,30.0,3.239
16
+ that's why I became an automation,31.8,3.66
17
+ engineer uh back in the day I told,33.239,4.081
18
+ people like I would rather spend a week,35.46,4.56
19
+ building an automation tool that I can,37.32,4.259
20
+ then just push the button and for the,40.02,3.359
21
+ rest of my life it makes that job easier,41.579,4.381
22
+ and guess what that's how I automated a,43.379,5.401
23
+ three petabyte environment because why I,45.96,4.86
24
+ didn't want to manage it myself okay so,48.78,5.04
25
+ uh with the volume of paper that came,50.82,5.16
26
+ out because all of these came out Monday,53.82,5.64
27
+ so we've got five interesting papers,55.98,5.46
28
+ that came out on the same day and this,59.46,4.259
29
+ happens pretty much every day lately and,61.44,4.14
30
+ it is entirely too much to keep up with,63.719,5.341
31
+ so rather than having to read all of,65.58,5.76
32
+ these papers every day I wanted a way to,69.06,4.26
33
+ digest them so I could quickly just one,71.34,4.98
34
+ skim and keep on top of things uh and,73.32,6.06
35
+ then also just uh basically make it,76.32,4.92
36
+ sustainable or make it operationalized,79.38,3.779
37
+ and so what I mean by that is something,81.24,3.48
38
+ that you can just fully automate and,83.159,3.981
39
+ then just maybe get an email every day,84.72,5.219
40
+ or you know have the interns do it or,87.14,4.299
41
+ use this as part of your literature,89.939,3.0
42
+ review for science because one of the,91.439,2.881
43
+ things that I want to do,92.939,4.021
44
+ is use this technology to accelerate,94.32,6.06
45
+ science as much as possible and uh you,96.96,4.74
46
+ know one of the things that I hear from,100.38,3.059
47
+ some of my friends in science is that,101.7,3.48
48
+ just keeping up with things is getting,103.439,4.441
49
+ harder and harder uh at least in these,105.18,5.16
50
+ high velocity spaces some places like,107.88,4.08
51
+ oceanography they don't change that much,110.34,3.9
52
+ they don't change that fast but,111.96,4.26
53
+ certainly computer science artificial,114.24,4.32
54
+ intelligence uh and that sort of thing,116.22,4.859
55
+ cyber security Quantum Computing these,118.56,5.16
56
+ things are moving so incredibly fast we,121.079,6.0
57
+ need the AI to help us keep up so let me,123.72,6.3
58
+ show you what I've done uh let's see,127.079,4.38
59
+ where should I start I guess I'll just,130.02,2.88
60
+ start with uh some some of the final,131.459,3.481
61
+ reports so basically what I do is I just,132.9,4.32
62
+ copy paste the text of the thing into,134.94,4.92
63
+ here obviously the figures help but,137.22,3.9
64
+ language models are already pretty,139.86,2.519
65
+ intelligent so they don't even really,141.12,4.44
66
+ need the figures and then what I do is I,142.379,5.521
67
+ feed it a series of,145.56,5.16
68
+ um of questions and it gives me answers,147.9,5.94
69
+ and so this basically summarizes it from,150.72,6.42
70
+ you know know maybe twenty thousand,153.84,4.979
71
+ forty thousand hundred thousand,157.14,3.78
72
+ characters down to four thousand,158.819,4.321
73
+ characters so we get a compression ratio,160.92,4.92
74
+ of at least five to one but also it's,163.14,4.739
75
+ often in much simpler language and,165.84,3.42
76
+ probably what I'll do is I'll add a,167.879,3.301
77
+ second step that will render this as an,169.26,4.14
78
+ HTML document maybe I'll do that at the,171.18,3.66
79
+ end,173.4,4.8
80
+ um but anyways so the idea is I plug in,174.84,5.399
81
+ the text if it's if it's a little too,178.2,3.72
82
+ long it'll trim it but you know you get,180.239,4.08
83
+ the first 22 000 characters of a paper,181.92,5.039
84
+ you've got the general gist,184.319,4.14
85
+ um and in many cases you actually have,186.959,4.261
86
+ the whole paper uh now so I say can you,188.459,4.321
87
+ give me a very clear explanation of the,191.22,2.939
88
+ core assertions implications and,192.78,3.959
89
+ mechanics elucidated in this paper very,194.159,4.741
90
+ simple prompt it comes back and says you,196.739,3.661
91
+ know yada yada yada the paper explores,198.9,3.54
92
+ the concept of continual learning okay,200.4,4.32
93
+ cool uh you know so it asks that,202.44,4.86
94
+ question and so basically this is a this,204.72,5.34
95
+ is a standard chat GPT conversation so,207.3,5.1
96
+ this is a way to implement a chain of,210.06,3.36
97
+ thinking,212.4,3.419
98
+ um but it's really an automated dialogue,213.42,4.62
99
+ so imagine that you you have an intern,215.819,4.381
100
+ or a research assistant that read the,218.04,3.96
101
+ paper and you can ask them a couple,220.2,4.2
102
+ questions and you can change this uh on,222.0,5.04
103
+ your own by the way very easily so in,224.4,4.68
104
+ the code I have it here you can just add,227.04,3.479
105
+ whatever questions or change whatever,229.08,3.54
106
+ questions you want here and it will be,230.519,4.14
107
+ happy to take it and run with with it,232.62,5.16
108
+ for you entirely on its own so you,234.659,4.681
109
+ change these questions if you want you,237.78,4.26
110
+ add more you know depending on the,239.34,4.38
111
+ research that you're looking for so,242.04,4.979
112
+ let's say for instance you are in a very,243.72,5.46
113
+ specific domain maybe you're trying to,247.019,4.5
114
+ do this for medical research and you're,249.18,3.9
115
+ really just looking for what are the,251.519,5.46
116
+ implications for let's say Rejuvenation,253.08,6.119
117
+ therapy or regenerative medicine or even,256.979,4.5
118
+ a something even more specific maybe,259.199,3.78
119
+ you're trying to research a specific,261.479,5.101
120
+ kind of cancer or a specific uh any kind,262.979,5.461
121
+ of metabolic disorder really,266.58,4.619
122
+ so then you can say first you want it to,268.44,3.96
123
+ just tell me what are the implications,271.199,3.241
124
+ and then you could say okay what are the,272.4,4.26
125
+ implications with respect to my,274.44,5.1
126
+ particular domain what are the what what,276.66,4.86
127
+ is you know what is the what is the,279.54,4.62
128
+ impact to my area of research so restate,281.52,4.44
129
+ it for me and then you can have it,284.16,4.2
130
+ automatically spider a whole bunch of,285.96,3.72
131
+ documents so one of the things that I'm,288.36,3.059
132
+ going to do with this is that rather,289.68,4.86
133
+ than have just one input at a time I'm,291.419,4.5
134
+ going to create a folder where you give,294.54,3.06
135
+ it you just download the PDFs to,295.919,4.021
136
+ directly it'll scrape the PDFs and go,297.6,4.379
137
+ through all of them as part of the,299.94,4.68
138
+ automated process and it'll whatever the,301.979,4.621
139
+ questions that you have it will kind of,304.62,3.6
140
+ break it down but anyways,306.6,3.48
141
+ so I have a I have a few standard,308.22,3.84
142
+ questions can you explain the value of,310.08,3.3
143
+ this in basic terms like you're talking,312.06,3.54
144
+ to a CEO so what what's the bottom line,313.38,4.68
145
+ here and it's really good at explaining,315.6,4.379
146
+ things in simple terms so in this case,318.06,4.02
147
+ uh this paper says the research is about,319.979,4.201
148
+ making code generation models which are,322.08,3.54
149
+ tools that help programmers by,324.18,3.66
150
+ automating some of their work more,325.62,4.079
151
+ adaptable and efficient currently these,327.84,3.66
152
+ models need to be retrained every time,329.699,3.121
153
+ there's a significant change to the,331.5,3.419
154
+ programming languages or libraries they,332.82,3.48
155
+ work with which this is what some people,334.919,3.661
156
+ are noticing and I notice this too is,336.3,4.26
157
+ that sometimes it'll program with an,338.58,4.38
158
+ outdated version which of course limits,340.56,4.8
159
+ the utility of coding models,342.96,4.019
160
+ the bottom line is that this research,345.36,2.76
161
+ could lead to more efficient and,346.979,3.0
162
+ adaptable code generation models this,348.12,3.24
163
+ means less time and money spent on,349.979,2.641
164
+ retraining these models and more,351.36,2.52
165
+ up-to-date and effective tools for,352.62,3.419
166
+ programmers so the implication for this,353.88,3.9
167
+ just reading that one paragraph to me,356.039,3.72
168
+ says okay cool this is going to be part,357.78,4.919
169
+ of the acceleration because if we come,359.759,5.581
170
+ up with a way to make coding models uh,362.699,4.741
171
+ updated they're updatable you know using,365.34,4.799
172
+ continuous learning great excellent and,367.44,4.199
173
+ then I said can you give me an analogy,370.139,2.521
174
+ or metaphor that will help me explain,371.639,2.761
175
+ this to a broad audience why because I'm,372.66,4.92
176
+ a YouTuber right so the basically what I,374.4,5.46
177
+ want is to be able to explain this paper,377.58,5.88
178
+ in real basic terms real fast and,379.86,5.7
179
+ contrary to the belief about a year ago,383.46,3.78
180
+ language models are actually really good,385.56,3.9
181
+ at analogy and metaphor,387.24,3.36
182
+ um so it says sure let's think of the,389.46,2.64
183
+ code generation models as chefs in a,390.6,3.3
184
+ kitchen kitchen these chefs are trained,392.1,3.24
185
+ to prepare a variety of dishes using,393.9,3.0
186
+ specific recipes and ingredients however,395.34,3.9
187
+ the culinary world is always evolving,396.9,4.32
188
+ with new recipes and ingredients being,399.24,4.019
189
+ introduced regularly in the current,401.22,4.02
190
+ scenario every time a new recipe or,403.259,4.021
191
+ ingredient is introduced the chef has to,405.24,3.54
192
+ go through a complete retraining process,407.28,3.96
193
+ which is time consuming and expensive,408.78,4.259
194
+ it's as if the chef forgets all of the,411.24,3.299
195
+ old recipes when they learn a new one,413.039,4.141
196
+ see that's a good metaphor,414.539,4.801
197
+ or I guess that's an analogy that's not,417.18,5.28
198
+ a metaphor the researchers in this study,419.34,4.32
199
+ developed a new Training Method for,422.46,2.459
200
+ these chefs instead of forgetting old,423.66,2.819
201
+ recipes when learning new ones the chefs,424.919,3.141
202
+ can now continually learn and adapt,426.479,3.961
203
+ adding new recipes to the repertoire,428.06,4.06
204
+ while still remembering the old ones,430.44,3.0
205
+ this is like a chef who can learn to,432.12,2.579
206
+ cook a new dish while still remembering,433.44,2.819
207
+ to cook all the previous dishes they've,434.699,3.361
208
+ ever learned this new Training Method is,436.259,3.301
209
+ called prompt pooling with teacher for,438.06,4.199
210
+ Teacher forcing makes chefs or in the,439.56,4.139
211
+ real case the code generation models,442.259,3.06
212
+ more efficient and adaptable yada yada,443.699,4.021
213
+ okay you get the idea so this only takes,445.319,4.021
214
+ a few seconds and it takes only a few,447.72,2.879
215
+ cents to run,449.34,3.479
216
+ and so actually probably what I'll do is,450.599,3.72
217
+ I'll pause it and I'll I'll go ahead and,452.819,3.181
218
+ update it so that it'll just ingest,454.319,3.301
219
+ everything in a folder and then I'll,456.0,3.599
220
+ show you a nice cleaned up output so,457.62,4.94
221
+ actually we'll be right back,459.599,2.961
222
+ um okay so speaking of being lazy I just,463.02,3.06
223
+ wanted to show you real quick I'm using,464.759,2.701
224
+ my coding chat bot to do this because,466.08,3.6
225
+ I'm ultra lazy,467.46,5.4
226
+ work smart not hard so basically I took,469.68,4.799
227
+ the script and I just copied it into my,472.86,3.839
228
+ coding chat bot uh which you can find it,474.479,3.421
229
+ it's literally just called coding,476.699,2.821
230
+ underscore chatbot underscore assistant,477.9,4.26
231
+ on my GitHub so I copied the script that,479.52,5.22
232
+ I had which is all of 99 lines and I,482.16,4.08
233
+ came over to my coding chatbot and I,484.74,3.179
234
+ said hey can you do this for me instead,486.24,3.66
235
+ and it's like sure,487.919,4.981
236
+ um Okay cool so uh basically I said,489.9,6.0
237
+ let's get a folder so we're using this,492.9,5.579
238
+ folder so we can just download the PDFs,495.9,4.44
239
+ directly to there rather than copy and,498.479,3.801
240
+ pasting the text and we're just gonna,500.34,4.919
241
+ take the output folder or the input,502.28,4.66
242
+ folder for the PDFs and then an output,505.259,5.16
243
+ folder for the um Whatchamacallit whoops,506.94,7.5
244
+ okay so we come over to here and it,510.419,8.101
245
+ wants us to add OS and Pi PDF,514.44,4.86
246
+ um,518.52,4.439
247
+ that's fine so we add that and then we,519.3,5.76
248
+ see what else it wants to do if name,522.959,4.921
249
+ equals main yep so it's going to do all,525.06,4.02
250
+ that,527.88,3.66
251
+ PDF file replace yep cool so I just I,529.08,3.9
252
+ gave it really simple instructions I,531.54,3.299
253
+ said can you modify this script so that,532.98,3.78
254
+ it will one open every PDF in the input,534.839,4.201
255
+ folder one by one and perform the same,536.76,5.28
256
+ operation and two check an output folder,539.04,6.919
257
+ for the report as the same PDF uh or,542.04,7.14
258
+ blah check the output folder for a file,545.959,4.661
259
+ of the same name this will enable us to,549.18,2.82
260
+ run batches without duplicating effort,550.62,2.52
261
+ should be pretty straightforward let me,552.0,2.94
262
+ know if you have any questions,553.14,4.98
263
+ um and okay so let's put this over here,554.94,6.66
264
+ and see if it worked,558.12,4.68
265
+ okay,561.6,4.679
266
+ so um PDF files for files in OS Lister,562.8,5.64
267
+ that looks right,566.279,3.24
268
+ um,568.44,4.92
269
+ open read binary as file PDF reader yep,569.519,6.361
270
+ so we get that it gets all the page,573.36,4.26
271
+ numbers that should all work I've used,575.88,3.24
272
+ that I've used this this module before,577.62,5.58
273
+ pi pdf2 and PDF file reader if it's over,579.12,7.02
274
+ 22 000 characters just cut it off it,583.2,5.579
275
+ seems to work well enough and then we,586.14,5.639
276
+ get the report so on and so forth,588.779,5.161
277
+ um let's see,591.779,5.601
278
+ it looks like it's not actually checking,593.94,7.519
279
+ if the file exists,597.38,7.12
280
+ yep okay so this is this is close so,601.459,4.541
281
+ let's take this over to the scratch pad,604.5,3.54
282
+ and then we'll say,606.0,4.1
283
+ um,608.04,2.06
284
+ let's see it will then check the output,610.92,3.66
285
+ folder for the report wait am I missing,612.72,4.04
286
+ something,614.58,2.18
287
+ it doesn't have a continue function,616.98,7.979
288
+ um okay sorry I I think we need to check,620.04,9.54
289
+ um if the final file name exists in the,624.959,9.481
290
+ output folder first and then use a,629.58,10.58
291
+ continue to skip the process make sense,634.44,8.64
292
+ I found that if you obviously like if,640.16,4.359
293
+ you get frustrated with like no you eat,643.08,3.54
294
+ it like it'll be apologetic and it'll,644.519,4.141
295
+ spend more time apologizing,646.62,3.42
296
+ um so don't be mean to the machine if,648.66,2.64
297
+ you just say sorry I think there was a,650.04,2.58
298
+ misunderstanding it's actually much more,651.3,3.42
299
+ helpful so words matter,652.62,4.98
300
+ um be polite to your coding assistant,654.72,4.739
301
+ um because if it's if just like a human,657.6,3.9
302
+ if the human is spending mental energy,659.459,4.141
303
+ trying to placate you know a frustrated,661.5,4.32
304
+ friend or whatever it's going to waste a,663.6,6.299
305
+ little bit more time and energy okay,665.82,4.079
306
+ um sure here's the modified script the,670.019,2.701
307
+ script will first check if the report,671.579,2.581
308
+ already exists in the output folder if,672.72,3.0
309
+ it does it will skip the current PDF and,674.16,3.66
310
+ move to the next one excellent so let's,675.72,4.5
311
+ check this out and see,677.82,5.94
312
+ if it works if it if it looks how I,680.22,6.679
313
+ think it should look,683.76,3.139
314
+ so we'll come over here all right so for,686.94,5.76
315
+ PDF file and PDF files first all right,690.0,4.74
316
+ yep so first we list there we go that's,692.7,4.98
317
+ what I was expecting if it exists then,694.74,4.38
318
+ continue so you just skip the whole,697.68,4.26
319
+ thing otherwise go ahead and open it yep,699.12,4.38
320
+ there we go so we said because we set,701.94,3.3
321
+ the file name first all right so this,703.5,3.48
322
+ should be fine,705.24,4.26
323
+ um okay I think that's I think that's uh,706.98,5.039
324
+ good so let's come over here let's exit,709.5,4.86
325
+ out of my coding chatbot assistant,712.019,3.781
326
+ um so again like I had to put very,714.36,2.76
327
+ little energy into that all I had to do,715.8,2.88
328
+ was check and honestly what I could have,717.12,3.959
329
+ done is just ask it to check its work,718.68,4.08
330
+ like you know does it do the thing that,721.079,3.841
331
+ I think it is but you saw I didn't,722.76,4.319
332
+ really do any coding all I did was copy,724.92,5.58
333
+ paste okay uh so let's go back out of,727.079,6.121
334
+ here quickly extract science papers and,730.5,6.0
335
+ then we'll do python whoops generate,733.2,8.639
336
+ multiple reports no module named pi pdf2,736.5,6.54
337
+ I thought I already had it maybe that,741.839,3.261
338
+ was my previous install pip install,743.04,5.16
339
+ ipdf two,745.1,7.08
340
+ Pi PD F2,748.2,3.98
341
+ this is the boring part okay now it,752.76,4.38
342
+ should work,754.92,4.8
343
+ um is deprecator and was removed used,757.14,4.98
344
+ PDF reader instead so this is exactly,759.72,6.0
345
+ exactly the problem that uh that the um,762.12,5.82
346
+ uh this one of the papers addresses is,765.72,3.9
347
+ the fact that the modules have been,767.94,4.86
348
+ updated and so now it's it's uh out of,769.62,5.64
349
+ date so we gotta go we gotta go switch,772.8,4.74
350
+ to this thing over here,775.26,5.639
351
+ um all right oh I forgot to save it,777.54,5.46
352
+ that could be a problem,780.899,4.56
353
+ um all right so,783.0,5.76
354
+ if it ends with otherwise,785.459,5.641
355
+ all right let's see if that fixed it and,788.76,4.019
356
+ also it might have yard anyways because,791.1,4.26
357
+ I forgot to save uh reader num pages is,792.779,5.581
358
+ deprecated use Len reader pages instead,795.36,4.74
359
+ okay at least at least their,798.36,3.3
360
+ documentation is good and it's helping,800.1,3.06
361
+ me fix it,801.66,3.859
362
+ um okay,803.16,2.359
363
+ um,807.72,2.119
364
+ okay that should be good,812.16,5.76
365
+ int object is not iterable,814.86,3.93
366
+ uh,817.92,2.039
367
+ [Music],818.79,5.25
368
+ and um let's see for page in so if we're,819.959,7.38
369
+ doing a length so that's an end we don't,824.04,5.099
370
+ need that we just need number of pages,827.339,4.68
371
+ so we should do um,829.139,8.76
372
+ uh let's see list of range of 0 to was,832.019,7.44
373
+ it zero to that I think that's how that,837.899,3.721
374
+ formatting is so I'm having to fix some,839.459,3.721
375
+ of it because exactly the problem,841.62,3.659
376
+ virtual list cannot be interpreted as an,843.18,3.06
377
+ integer,845.279,3.06
378
+ hang on,846.24,4.8
379
+ huh,848.339,4.921
380
+ let me just come back over here and say,851.04,4.94
381
+ um I don't know what I'm doing I'm lost,853.26,5.639
382
+ uh python chat,855.98,5.58
383
+ um let's see,858.899,2.661
384
+ I got,867.06,3.06
385
+ shift enter,868.56,5.779
386
+ um and you help me I'm lost,870.12,4.219
387
+ I probably have the the range formatted,879.24,5.36
388
+ wrong or something,881.94,2.66
389
+ um let's see is typically blah blah okay,885.6,6.78
390
+ four page in list range zero PDF reader,889.5,5.24
391
+ pages,892.38,2.36
392
+ yeah that's the that's the correct line,895.92,3.68
393
+ list range zero length Okay interesting,904.26,5.16
394
+ okay so it was it was not lying to me,907.5,3.959
395
+ when it said I needed length of PDF,909.42,4.32
396
+ reader Pages all right cool so let's see,911.459,4.101
397
+ if that fixed it so let's come over here,913.74,5.339
398
+ so four page in it seems like it's,915.56,5.5
399
+ getting kind of long,919.079,4.921
400
+ all right here let's just open another,921.06,5.88
401
+ terminal uh CD quickly,924.0,6.24
402
+ yada yada yada anyways well here let me,926.94,5.759
403
+ just go ahead and see if it works python,930.24,5.099
404
+ generate,932.699,4.561
405
+ still doesn't work it's deprecated and,935.339,3.841
406
+ removed,937.26,4.819
407
+ oh okay,939.18,2.899
408
+ there we go reader pages,943.019,4.141
409
+ so we found another bug,945.24,4.039
410
+ um,947.16,2.119
411
+ the page num,951.36,6.5
412
+ almost there oops,954.12,3.74
413
+ reader is not defined,957.959,3.721
414
+ [Laughter],959.84,6.119
415
+ uh oh right PDF reader there we go,961.68,4.279
416
+ extract text is deprecated and removed,967.68,6.3
417
+ use extract underscore text instead,970.44,6.3
418
+ man okay this is like an object lesson,973.98,5.76
419
+ as to why uh why this uh continuous,976.74,5.099
420
+ learning needs to be done okay cool now,979.74,3.599
421
+ it's thinking all right I think we fixed,981.839,4.201
422
+ it so ideally what should happen is uh,983.339,5.881
423
+ we'll get a list of outputs here that,986.04,4.979
424
+ are going to have the same name as those,989.22,3.84
425
+ so then it will not uh duplicate the,991.019,3.721
426
+ efforts in the future I'll go ahead and,993.06,3.899
427
+ delete the reports folder uh we can,994.74,5.519
428
+ delete the inputs delete the generate,996.959,6.901
429
+ report there we go okay so here we go,1000.259,5.041
430
+ The Continuous learning this would have,1003.86,3.479
431
+ actually helped this so this will,1005.3,4.8
432
+ actually uh this kind of thing I've,1007.339,4.081
433
+ actually had some conversations with,1010.1,4.08
434
+ people because with chat GPT having had,1011.42,5.82
435
+ the cutoff date in 2021 it's already,1014.18,5.76
436
+ losing utility because it's increasingly,1017.24,5.039
437
+ out of date some of that I think is,1019.94,3.899
438
+ deliberate on the part of open AI,1022.279,2.881
439
+ because they didn't want it to be able,1023.839,4.1
440
+ to use other people to use it to,1025.16,5.34
441
+ accelerate language model research or,1027.939,5.26
442
+ who knows what else is going on,1030.5,5.76
443
+ um but yeah so there there it is so we,1033.199,5.461
444
+ should have our first output here there,1036.26,5.1
445
+ we go so now you can correlate it back,1038.66,4.86
446
+ to exactly the same thing and you will,1041.36,4.68
447
+ be able to just quickly grab a whole,1043.52,4.679
448
+ bunch of stuff okay,1046.04,3.3
449
+ um yep,1048.199,4.641
450
+ excellent excellent excellent,1049.34,3.5
451
+ um,1053.419,5.76
452
+ python uh chat pie okay great,1054.7,6.54
453
+ um,1059.179,2.061
454
+ uh let's see,1061.88,5.22
455
+ I have a folder,1064.34,4.26
456
+ um or here let's go ahead and grab the,1067.1,3.84
457
+ updated version of this,1068.6,5.52
458
+ and put this no we can get rid of that,1070.94,6.72
459
+ put this in scratch pad,1074.12,5.28
460
+ so we've got,1077.66,3.42
461
+ coding,1079.4,3.36
462
+ scratch pad,1081.08,3.839
463
+ all right so let's put it there and then,1082.76,6.74
464
+ we'll say I have a folder uh output,1084.919,10.681
465
+ that is full of uh uh text files,1089.5,10.9
466
+ um with the file name being the name of,1095.6,5.88
467
+ M,1100.4,4.159
468
+ archive paper,1101.48,7.64
469
+ I would like to render,1104.559,9.221
470
+ all those files to HTML,1109.12,5.62
471
+ um,1113.78,4.139
472
+ let's use the file name,1114.74,7.62
473
+ as a header where is my there we go,1117.919,8.301
474
+ let's use the file name as a header,1122.36,3.86
475
+ uh,1126.38,4.86
476
+ for each section,1128.539,4.081
477
+ um,1131.24,5.34
478
+ and then there is uh there is a,1132.62,5.6
479
+ conversation,1136.58,4.76
480
+ of QA,1138.22,7.54
481
+ within each file which I'd like to,1141.34,9.579
482
+ present on the page pretty simply so,1145.76,7.32
483
+ let's go ahead and grab an example of,1150.919,3.5
484
+ the report,1153.08,3.719
485
+ and put it in the scratch Pad so it can,1154.419,3.88
486
+ see,1156.799,3.601
487
+ because then in the scratch Pad you just,1158.299,3.781
488
+ give it examples,1160.4,4.56
489
+ um of what you're talking about you can,1162.08,7.16
490
+ see an example of the plain text report,1164.96,7.56
491
+ in your scratch Pad,1169.24,9.059
492
+ um okay go uh the final output should be,1172.52,8.96
493
+ report dot HTML,1178.299,8.5
494
+ which should be fully self-contained,1181.48,5.98
495
+ um,1186.799,3.12
496
+ and pretty all right so let's see what,1187.46,4.68
497
+ it gives me for that meanwhile this,1189.919,4.321
498
+ should be the other one should be pretty,1192.14,5.22
499
+ much done yep so we should have we've,1194.24,4.799
500
+ got four we've got four papers,1197.36,3.48
501
+ summarized and like I said this probably,1199.039,4.321
502
+ cost a few cents,1200.84,3.3
503
+ um,1203.36,4.199
504
+ because it was uh you know it it does,1204.14,4.98
505
+ add up a little bit because each paper,1207.559,3.061
506
+ actually you,1209.12,2.76
507
+ um you have to read the entire paper,1210.62,3.12
508
+ three times because the conversation is,1211.88,4.08
509
+ three messages long so that's that's one,1213.74,3.72
510
+ of the only things to keep in mind is,1215.96,3.0
511
+ that the the more questions you ask it,1217.46,3.54
512
+ you're basically reading the entire,1218.96,4.68
513
+ paper every time to keep asking or to,1221.0,5.1
514
+ keep answering those questions about it,1223.64,6.3
515
+ um let's see get status get add,1226.1,7.86
516
+ get commit am all done,1229.94,6.3
517
+ and uh get pushed so you guys can use,1233.96,4.26
518
+ this and then let's hop up back over to,1236.24,5.88
519
+ my coding chatbot to see what it said,1238.22,6.48
520
+ okay cool,1242.12,4.74
521
+ um let's see from bs4 import beautiful,1244.7,4.8
522
+ soup and I'm just gonna fully send this,1246.86,5.04
523
+ to see if it works,1249.5,4.5
524
+ um just,1251.9,4.62
525
+ all right so then not coding chatbot,1254.0,4.679
526
+ quickly extract and we're going to come,1256.52,5.48
527
+ up here and just save this as um uh,1258.679,6.62
528
+ renderreport.pi so let's jump over here,1262.0,6.46
529
+ oops wrong terminal python,1265.299,6.161
530
+ renderreport.pi,1268.46,3.0
531
+ um no module named bs4,1272.12,6.299
532
+ um import uh no,1275.539,8.461
533
+ pip install darn it pip install vs4,1278.419,8.301
534
+ there we go,1284.0,2.72
535
+ all right let's try that again,1287.6,3.48
536
+ all right and that ran pretty much,1289.28,4.379
537
+ instantly so let's see if that worked,1291.08,5.339
538
+ hey cool look at that so it could be it,1293.659,4.081
539
+ could it could stand to be a little bit,1296.419,3.901
540
+ prettier but this is this is definitely,1297.74,4.02
541
+ good enough,1300.32,3.599
542
+ um where it's got each one with a header,1301.76,4.32
543
+ and so there you have it you've now got,1303.919,4.441
544
+ everything rendered to a nice report you,1306.08,4.979
545
+ can print this to PDF if you want it's,1308.36,4.98
546
+ searchable right you could you can say,1311.059,4.98
547
+ okay uh prompt where else is prompt,1313.34,4.8
548
+ listed excellent,1316.039,4.201
549
+ um yeah so I think I'm done uh I'll be,1318.14,4.98
550
+ using this uh to help with my video prep,1320.24,4.679
551
+ I can imagine that there's a whole bunch,1323.12,4.439
552
+ of other AI commentators out there who,1324.919,5.341
553
+ might be used who might start using this,1327.559,4.201
554
+ um but yeah it's super super simple,1330.26,3.48
555
+ brain dead tool hopefully it'll help,1331.76,3.72
556
+ accelerate science,1333.74,3.78
557
+ um and yeah it's out there under the MIT,1335.48,4.26
558
+ license so please take it use it let's,1337.52,4.26
559
+ accelerate science let's accelerate all,1339.74,5.48
560
+ science with this all right cheers,1341.78,3.44
America to hit 82 Unemployment I have the data to back it up_transcript.csv ADDED
@@ -0,0 +1,575 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ all right so there's a bit to unpack,0.659,4.081
3
+ here but before we get started I want to,2.76,4.26
4
+ uh profess this whole thing with take it,4.74,5.04
5
+ with a gigantic grain of salt uh my,7.02,5.1
6
+ methods are highly dubious and my data,9.78,6.54
7
+ quality is uh abysmal let's say but it's,12.12,5.34
8
+ an interesting thought experiment so,16.32,2.58
9
+ let's dive in,17.46,2.579
10
+ um all right so we'll start with the,18.9,3.48
11
+ conclusion and then work backwards,20.039,6.48
12
+ so right now at least May 2022 so just,22.38,6.719
13
+ over a year ago 13 months ago America,26.519,7.081
14
+ had 147 million employees ish 148,29.099,8.841
15
+ million now based on the current,33.6,8.279
16
+ capabilities of AI what this includes,37.94,5.74
17
+ all machine automation robotics,41.879,3.981
18
+ artificial intelligence,43.68,5.76
19
+ my estimate is that we could automate,45.86,8.14
20
+ away almost 25 million jobs today,49.44,8.88
21
+ now that requires the deployment of new,54.0,6.3
22
+ products and services so those products,58.32,4.559
23
+ and services do not exist yet but the,60.3,5.34
24
+ underpinning technology does which means,62.879,5.28
25
+ that the only thing preventing us from,65.64,5.1
26
+ from getting that employment is just,68.159,4.921
27
+ inertia the time that it takes to,70.74,4.559
28
+ develop the products and software,73.08,4.74
29
+ the time to get it approved and the time,75.299,4.14
30
+ to implement it and then make those,77.82,5.7
31
+ changes so as of right now almost 25,79.439,6.421
32
+ million jobs are vulnerable to AI with,83.52,5.7
33
+ the capabilities of GPT 3.5 turbo and,85.86,6.24
34
+ gpt4 and then of course all the other,89.22,5.52
35
+ open source uh and and Commercial,92.1,5.339
36
+ competitors that are near peer,94.74,7.14
37
+ adversaries now that being said if you,97.439,7.561
38
+ look at the jobs that uh based on a,101.88,5.599
39
+ job's intrinsic requirement for humans,105.0,5.579
40
+ uh basically you look at the the kinds,107.479,4.661
41
+ of jobs that you're going to pay to have,110.579,4.08
42
+ a person doing regardless of what the AI,112.14,4.92
43
+ is capable of this is these are the jobs,114.659,3.78
44
+ that are going to be vulnerable just by,117.06,3.199
45
+ virtue of the fact that you don't really,118.439,5.46
46
+ necessarily need a human doing it the,120.259,6.341
47
+ numbers become a little bit scarier and,123.899,4.92
48
+ uh my estimate this is worst case,126.6,6.42
49
+ scenario is that in the near future 77,128.819,6.901
50
+ million jobs out of the 140 seven,133.02,5.1
51
+ million jobs are vulnerable to be to,135.72,3.9
52
+ being automated away,138.12,4.8
53
+ basically this calculation is a rough,139.62,6.06
54
+ estimate on market demand how much do,142.92,4.92
55
+ you actually want a human doing that,145.68,3.72
56
+ particular job,147.84,3.3
57
+ which means that in the worst case,149.4,5.4
58
+ scenario we go from 148 million employed,151.14,7.319
59
+ to 70 million employed that is more than,154.8,6.6
60
+ 50 percent lost so I have been,158.459,5.28
61
+ repeatedly saying you know we could face,161.4,5.1
62
+ 70 unemployment 80 and other people say,163.739,4.86
63
+ 80 unemployment here's the numbers to,166.5,3.959
64
+ back it up all right now,168.599,3.481
65
+ since I got your attention let me tell,170.459,3.901
66
+ you how I did this and again remember,172.08,4.799
67
+ this is incredibly dubious so take it,174.36,4.5
68
+ with a huge grain of salt but basically,176.879,5.301
69
+ what I did was I took the,178.86,6.239
70
+ gpt40613 model,182.18,5.139
71
+ and I gave it instructions I said you,185.099,5.341
72
+ are a BLS chat bot and you're trying to,187.319,5.581
73
+ assess the risk of having jobs automated,190.44,3.42
74
+ away,192.9,4.619
75
+ uh yada yada yada the tldr is that I,193.86,8.58
76
+ asked it to uh judge jobs or occupations,197.519,7.381
77
+ based on job activities and I had it,202.44,5.28
78
+ break it down into percentages uh based,204.9,4.919
79
+ on three categories so the first,207.72,4.92
80
+ category is is dexterity so this is high,209.819,5.881
81
+ friction uh in in physical space that,212.64,6.0
82
+ requires compliance uh manual dexterity,215.7,4.98
83
+ uh kinetic intelligence that sort of,218.64,4.679
84
+ stuff because yes we do have a few,220.68,5.04
85
+ robots that can do this but there are as,223.319,4.321
86
+ of right now no general purpose robots,225.72,4.379
87
+ that are capable of operating anywhere,227.64,4.679
88
+ near human level in terms of dexterity,230.099,4.441
89
+ there are no general purpose surgical,232.319,3.901
90
+ robots there are no general purpose,234.54,5.52
91
+ labor robots uh just doesn't exist,236.22,6.18
92
+ now that being said you can robotically,240.06,4.319
93
+ automate like a skid steer or a tractor,242.4,4.08
94
+ or something that's fine that's not what,244.379,3.78
95
+ I'm talking about,246.48,3.6
96
+ um I'm talking about what a human can do,248.159,4.381
97
+ with your hands and body and then the,250.08,4.379
98
+ second category is solo work so this is,252.54,3.539
99
+ work that can be done in front of a,254.459,4.68
100
+ computer or otherwise electronically by,256.079,5.88
101
+ yourself uh you know on your phone on a,259.139,4.981
102
+ computer that sort of thing and then the,261.959,4.141
103
+ third category of job activities is,264.12,3.78
104
+ group stuff so this is communication,266.1,4.44
105
+ collaboration face-to-face time with,267.9,3.9
106
+ other humans,270.54,3.5
107
+ and so those three categories break down,271.8,5.82
108
+ and and kind of Judge the that's part of,274.04,6.34
109
+ what I use to judge the vulnerability of,277.62,5.94
110
+ a job so if it if it has low dexterity,280.38,5.58
111
+ it is much at much greater risk of being,283.56,4.859
112
+ automated away uh just with today's,285.96,6.12
113
+ technology uh if it is mostly solo work,288.419,5.701
114
+ it is much higher risk of being,292.08,4.32
115
+ automated away and if it's a high group,294.12,4.079
116
+ activity then it's a much lower risk,296.4,4.079
117
+ because that indicates that the human,298.199,4.381
118
+ com the human connection component is a,300.479,4.201
119
+ big part of it and then finally the,302.58,4.14
120
+ vulnerability score is a standalone,304.68,6.86
121
+ score which is used to uh basically uh,306.72,7.74
122
+ assess how how much you want a human,311.54,5.379
123
+ doing that job what is the intrinsic uh,314.46,4.32
124
+ need for that job and if the number is,316.919,3.78
125
+ lower if that means it's less vulnerable,318.78,4.62
126
+ which means you're more likely to really,320.699,4.861
127
+ want to have a human in that job and,323.4,4.44
128
+ you're willing to pay for that whereas,325.56,4.44
129
+ if it's a high vulnerability score then,327.84,3.78
130
+ that means that there's no intrinsic,330.0,4.5
131
+ economic or personal or whatever there's,331.62,5.28
132
+ no intrinsic demand to have a human in,334.5,4.1
133
+ that job if you could automate it away,336.9,5.28
134
+ then you might as well and so this is,338.6,6.099
135
+ like machine shop workers right you,342.18,3.84
136
+ don't need a whole heck of a lot of,344.699,3.78
137
+ empathy or communication skills and I,346.02,3.72
138
+ can hear all the machinists saying yeah,348.479,2.421
139
+ like hell,349.74,4.26
140
+ because machine is a machinists actually,350.9,4.72
141
+ do have to do a tremendous amount of,354.0,4.74
142
+ communication that being said the actual,355.62,5.46
143
+ Hands-On machine stuff that that part,358.74,4.08
144
+ could be automated away,361.08,3.839
145
+ if of course the machines become more,362.82,3.9
146
+ dexterous right because dexterity is a,364.919,3.06
147
+ huge component of that so that's why I,366.72,2.88
148
+ broke it down into these four categories,367.979,5.521
149
+ of vulnerability and I had chat GPT just,369.6,6.06
150
+ kind of do these rough estimates,373.5,5.46
151
+ and it did a pretty good job using gpt4,375.66,7.02
152
+ so I ran I downloaded the data from BLS,378.96,7.739
153
+ and I excluded the detail in Broad ones,382.68,5.82
154
+ because they're they're they're very,386.699,4.141
155
+ very highly specific and I noticed that,388.5,4.8
156
+ it was like okay the job duties really,390.84,4.919
157
+ didn't change so I only focused on the,393.3,4.56
158
+ minor and major categories which ended,395.759,3.66
159
+ up being,397.86,6.3
160
+ um let's see that was 116 categories so,399.419,8.4
161
+ that's still 116 categories uh that it,404.16,5.7
162
+ was used to estimate,407.819,4.021
163
+ um in terms of vulnerability and I've,409.86,3.779
164
+ got it all color coded so I'll tell you,411.84,5.52
165
+ how to interpret the data in a second,413.639,5.34
166
+ um here's the here's the thing so the,417.36,4.2
167
+ first thing uh the first sorry good,418.979,3.901
168
+ grief I'm going too fast here's the,421.56,4.259
169
+ repository the first step of this is to,422.88,5.819
170
+ break it down uh it just it's very very,425.819,4.861
171
+ simple you open the data,428.699,5.641
172
+ the CSV data pipe it in you get the,430.68,6.84
173
+ result it pipes it back out in Json and,434.34,5.1
174
+ I can show you an example of the debug,437.52,4.88
175
+ here so I just it captures everything,439.44,5.46
176
+ occupation code description and,442.4,4.72
177
+ employment so that's what it gives it so,444.9,3.66
178
+ that it understands and of course chat,447.12,3.18
179
+ GPT already knows what all the,448.56,3.72
180
+ occupation codes actually mean because,450.3,4.2
181
+ it's baked into the training data and so,452.28,4.5
182
+ if you go and talk to like chat gbt and,454.5,4.58
183
+ say like hey what is BLS occupation code,456.78,5.34
184
+ 17-1000 mean give me some examples and,459.08,4.54
185
+ it'll it can give you a good explanation,462.12,6.66
186
+ now one thing that I had it do was to in,463.62,9.18
187
+ the output it actually tells me why it,468.78,5.759
188
+ made the judgments that it did so this,472.8,3.78
189
+ is where explainability comes in,474.539,5.28
190
+ so uh here's an example of the final,476.58,6.08
191
+ output for uh code,479.819,5.1
192
+ 41-3000 sales representatives and,482.66,5.379
193
+ services total current employment is 2.1,484.919,6.601
194
+ million uh dexterity rather low you know,488.039,5.701
195
+ you got to call some people,491.52,4.079
196
+ um you know a significant portion of,493.74,3.359
197
+ their work can be done solo on a,495.599,3.421
198
+ computer such as managing customer,497.099,3.841
199
+ databases and orders which make it,499.02,4.019
200
+ susceptible to automation however a,500.94,3.96
201
+ large part of their job about 60 percent,503.039,3.301
202
+ involves group collaboration and,504.9,2.699
203
+ communication such as face-to-face,506.34,3.479
204
+ meetings negotiations which is difficult,507.599,4.38
205
+ to automate the intrinsic technological,509.819,4.441
206
+ vulnerability is estimated at 40 so it's,511.979,5.221
207
+ a relatively low vulnerability uh job,514.26,4.92
208
+ because yes there are some things that,517.2,5.339
209
+ you can automate away but in general you,519.18,5.099
210
+ want to be talking to a human sales rep,522.539,4.081
211
+ it to close the deal,524.279,5.161
212
+ so in this case uh the the numbers kind,526.62,5.159
213
+ of all come together to say okay uh,529.44,5.22
214
+ let's see we uh this estimated that we,531.779,4.801
215
+ might lose about twenty six thousand,534.66,4.14
216
+ jobs,536.58,6.06
217
+ um or no sorry uh 255 000 jobs uh,538.8,6.9
218
+ leaving 1.86 million instead of the 2.1,542.64,5.16
219
+ million because again if you can,545.7,4.68
220
+ automate if you can automate away a,547.8,5.88
221
+ third or you know a quarter or a half of,550.38,5.04
222
+ a job that reduces the demand for people,553.68,4.38
223
+ doing that and if you have tools that,555.42,4.32
224
+ can accelerate it and make it easier,558.06,4.5
225
+ then you uh then of course you have less,559.74,4.86
226
+ demand for someone in that role now that,562.56,3.36
227
+ being said this vulnerability score,564.6,3.419
228
+ means that in general you still want to,565.92,4.32
229
+ have a human there even if you have less,568.019,4.44
230
+ demand for humans overall aggregate,570.24,3.539
231
+ demand so think of it in terms of,572.459,2.82
232
+ aggregates,573.779,6.721
233
+ okay so uh that is how I achieved that,575.279,7.921
234
+ and um let's see I kind of lost my train,580.5,4.14
235
+ of thought okay I guess we can go over,583.2,3.0
236
+ the code it's all pretty straightforward,584.64,3.54
237
+ I've got it documented,586.2,4.319
238
+ um it it dumps it all out into the yaml,588.18,4.44
239
+ files here so you can look at all,590.519,4.401
240
+ however many there are,592.62,4.68
241
+ 116 so you can look at the reasoning,594.92,4.24
242
+ that it used for each one and you can,597.3,3.42
243
+ you can monkey around with this if you,599.16,3.84
244
+ want uh you can rerun it all the code is,600.72,5.34
245
+ there to regenerate this data but then I,603.0,7.8
246
+ got it all into this and so this is uh,606.06,6.0
247
+ the total data and I've got it color,610.8,4.86
248
+ coded so I have total number of jobs,612.06,6.18
249
+ lost and this is color coded so that the,615.66,4.739
250
+ the higher the number the darker or the,618.24,4.74
251
+ more red it is and of course it's not,620.399,4.201
252
+ proportionate so I added a percentage,622.98,5.039
253
+ lost and so this is this column here the,624.6,5.22
254
+ jobs lost in percentage loss this is,628.019,4.921
255
+ most likely based on some really rough,629.82,7.26
256
+ numbers uh based on what AI what I know,632.94,6.0
257
+ AI is capable of today and so remember,637.08,4.5
258
+ here's my credibility I was an I.T,638.94,4.74
259
+ automation engineer I've deployed,641.58,4.499
260
+ servers and software and cloud and,643.68,5.399
261
+ everything to automate uh and and,646.079,5.581
262
+ support businesses and and I've,649.079,3.961
263
+ integrated all these systems I know what,651.66,3.419
264
+ it takes to run these systems and to do,653.04,4.739
265
+ the job of like a DBA and business,655.079,5.041
266
+ analyst and you know Financial you know,657.779,4.74
267
+ comptroller I I talked to everyone when,660.12,4.92
268
+ I was in a corporate job so,662.519,4.801
269
+ that being said remember like I'm,665.04,3.78
270
+ basically throwing wet spaghetti at the,667.32,5.459
271
+ wall so this is a educated guess uh as,668.82,6.18
272
+ to percentage of jobs that could be,672.779,4.261
273
+ automated away obviously I'm less,675.0,4.2
274
+ familiar with uh blue collar jobs with,677.04,4.14
275
+ manual labor jobs I have done them in,679.2,4.5
276
+ the past uh I've I've worked nights in,681.18,4.68
277
+ in stores and warehouses so I kind of,683.7,4.68
278
+ have a feel for that that being said,685.86,4.08
279
+ um you know I have poured concrete but,688.38,4.62
280
+ not professionally so you know take some,689.94,5.04
281
+ of that with a grain of salt now percent,693.0,3.72
282
+ loss you see some of the higher ones,694.98,3.299
283
+ computer and mathematical operations,696.72,3.84
284
+ okay yeah that makes sense,698.279,3.961
285
+ um stuff with a low percentage loss,700.56,3.18
286
+ occupational therapy and physical,702.24,4.2
287
+ therapists assistance and AIDS this is,703.74,6.18
288
+ at a very very very low risk of being,706.44,7.38
289
+ automated away because it is one it's a,709.92,7.5
290
+ highly dexterous job and you also very,713.82,6.24
291
+ much want a human I've dated a physical,717.42,5.539
292
+ therapist before and it is an intensely,720.06,5.279
293
+ emotional job and it has to do with,722.959,4.841
294
+ communication verbal and non-verbal,725.339,5.461
295
+ communication there's tremendous amount,727.8,4.979
296
+ of human connection involved in that so,730.8,4.32
297
+ I totally agree with the result here,732.779,5.041
298
+ where you know health support and stuff,735.12,4.98
299
+ so all these numbers are jobs that are,737.82,4.86
300
+ at very very low vulnerability,740.1,5.28
301
+ uh for being automated away,742.68,4.26
302
+ um and then you see oh wait here's a big,745.38,4.8
303
+ chunk here so Communications uh clerks,746.94,6.12
304
+ information uh handling material,750.18,5.7
305
+ recording secretaries uh other office,753.06,5.88
306
+ and admin all at high very high risk of,755.88,4.62
307
+ getting automated away because again,758.94,3.3
308
+ these are things that you primarily do,760.5,3.079
309
+ in front of a computer,762.24,4.5
310
+ agricultural workers this is uh you know,763.579,5.021
311
+ eight and a half percent because again,766.74,3.96
312
+ you know some of it will be automated,768.6,4.919
313
+ away and you see most of them are around,770.7,6.0
314
+ kind of like the 10 to 12 percent range,773.519,5.281
315
+ um you know with a few few categories,776.7,4.56
316
+ being much much more vulnerable to,778.8,3.659
317
+ automation,781.26,5.28
318
+ now that being said there is uh I have a,782.459,5.701
319
+ second sheet and in the second sheet,786.54,3.359
320
+ what I did was I removed all the major,788.16,3.479
321
+ categories,789.899,3.981
322
+ um so you see like it's,791.639,5.181
323
+ 11-10011-2000 so I removed,793.88,5.86
324
+ 11-000 so that we would have a finer,796.82,6.819
325
+ grain view to look at the total data for,799.74,6.839
326
+ each of the the the minor categories,803.639,5.161
327
+ and so here,806.579,4.141
328
+ um it's it's the same same pattern,808.8,3.42
329
+ obviously I just removed some of the,810.72,3.059
330
+ stuff so that we'd have more accurate in,812.22,3.059
331
+ terms of total numbers,813.779,5.101
332
+ now what I did was I uh you know I,815.279,5.701
333
+ estimated total jobs lost that could be,818.88,4.44
334
+ automated away right now so that's right,820.98,5.039
335
+ here uh so that's that's how I arrived,823.32,5.28
336
+ at that data is okay based on all these,826.019,5.101
337
+ vulnerabilities scores and stuff what is,828.6,4.799
338
+ the what is the maximum jobs loss that,831.12,4.56
339
+ we could anticipate here,833.399,4.5
340
+ uh and then of course you just take that,835.68,4.8
341
+ away from you know total remaining etc,837.899,3.661
342
+ etc,840.48,5.28
343
+ simple simple arithmetic now over here I,841.56,6.18
344
+ said okay let's ignore what Ai and,845.76,4.44
345
+ Robotics are capable of today and let's,847.74,6.0
346
+ just look at the uh the aggregate demand,850.2,6.42
347
+ for humans in a particular job and so,853.74,4.8
348
+ for instance in computer occupations,856.62,4.68
349
+ there's not really a strong need to have,858.54,4.62
350
+ humans doing that to do most of those,861.3,4.5
351
+ jobs uh you know if the computer works,863.16,6.0
352
+ nobody cares uh as as an example and as,865.8,5.7
353
+ a former I.T specialist I can tell you,869.16,5.88
354
+ that my Humanity didn't really matter uh,871.5,5.399
355
+ it was as long as as long as the lights,875.04,3.72
356
+ were on and the you know the registers,876.899,3.961
357
+ were running nobody cares,878.76,5.22
358
+ uh drafters engineering techs a little,880.86,4.86
359
+ bit less demand,883.98,3.299
360
+ um let's see,885.72,4.14
361
+ there's some yeah so what are these,887.279,5.161
362
+ uh Communications operation operators,889.86,4.919
363
+ clerks these are at super high risk,892.44,4.259
364
+ agricultural workers so this is this is,894.779,3.3
365
+ one of the ones that's kind of a paradox,896.699,4.44
366
+ because on the one hand right now it's,898.079,6.661
367
+ at a very low risk because it requires a,901.139,6.541
368
+ tremendous amount of dexterity but,904.74,4.74
369
+ as long as the food gets on the table it,907.68,3.779
370
+ doesn't matter who put it there so in,909.48,4.14
371
+ terms of intrinsic vulnerability it is a,911.459,4.44
372
+ very high intrinsic vulnerability so,913.62,3.18
373
+ that's why I've got all these color,915.899,3.0
374
+ coded here,916.8,5.099
375
+ um let's see uh yep so there that's that,918.899,5.101
376
+ and so what I used there was to say like,921.899,3.841
377
+ what is the maximum possible attrition,924.0,4.92
378
+ we could see based on you know okay if,925.74,5.219
379
+ we can get rid of 20 of Executives,928.92,3.3
380
+ that's so that's basically what this,930.959,3.781
381
+ means is that the aggregate demand for,932.22,5.52
382
+ uh Executives for top Executives goes,934.74,5.58
383
+ down by 20 because we can automate away,937.74,5.279
384
+ a lot of it and you know make the things,940.32,4.92
385
+ easier and faster and so on and so forth,943.019,4.081
386
+ so that means we could have an attrition,945.24,4.38
387
+ of seven hundred thousand Executives,947.1,5.539
388
+ leaving us with 2.9 Million Executives,949.62,5.94
389
+ uh and you know but then you go down and,952.639,4.241
390
+ because this is Imagining the future,955.56,2.7
391
+ where it's like okay,956.88,3.24
392
+ let's take the Farm Workers the,958.26,5.28
393
+ agricultural workers uh for example and,960.12,7.079
394
+ so right now we have uh looks like we've,963.54,7.08
395
+ got a total employment of 390 000.,967.199,6.121
396
+ um but there's only so much demand for,970.62,5.64
397
+ that so imagine we put AI in every John,973.32,6.36
398
+ Deere tractor every combine every Hopper,976.26,6.18
399
+ system and you basically have you know,979.68,5.04
400
+ Farm entire Farms with no humans that's,982.44,4.5
401
+ what this .85 means so we'd have an,984.72,5.52
402
+ attrition rate of 85 percent leaving,986.94,7.019
403
+ only 58 000 farmers in America total now,990.24,5.339
404
+ of course this does not include seasonal,993.959,4.94
405
+ labor so that's uh slightly different,995.579,5.7
406
+ construction workers this is another,998.899,4.36
407
+ example where,1001.279,3.781
408
+ um the it's kind of it's kind of a mixed,1003.259,3.901
409
+ bag so the attrition rate here would be,1005.06,4.32
410
+ expected to be about 40 percent but then,1007.16,4.14
411
+ again like this is a super highly,1009.38,4.259
412
+ dexterous thing with with that is,1011.3,5.64
413
+ primarily uh collaborative work so this,1013.639,5.041
414
+ is going to be a very very very,1016.94,3.24
415
+ difficult one to automate away because,1018.68,4.26
416
+ it's very high risks if a robot makes a,1020.18,4.56
417
+ mistake an I-beam gets dropped on,1022.94,3.899
418
+ someone and they get killed right and so,1024.74,3.42
419
+ it actually you'll probably have a,1026.839,4.441
420
+ threshold where it'll be safer and,1028.16,5.1
421
+ cheaper to just take humans off the job,1031.28,5.639
422
+ site entirely now that being said we are,1033.26,5.46
423
+ already seeing that a little bit with,1036.919,5.101
424
+ like the 3D printing home printers where,1038.72,5.16
425
+ it's like a robotic Gantry that just,1042.02,3.419
426
+ sits over there it's got its pile of,1043.88,3.12
427
+ material and it just builds the house,1045.439,3.961
428
+ with no humans involved at all and so,1047.0,4.02
429
+ that's what we have to look out for is,1049.4,3.72
430
+ that in some of these cases there's,1051.02,3.779
431
+ going to be this saltatory leap where it,1053.12,3.36
432
+ goes from you know four and a half,1054.799,4.141
433
+ million employees to zero very quickly,1056.48,4.319
434
+ because as these new technologies rolled,1058.94,3.359
435
+ out you're going to replace them all,1060.799,3.541
436
+ wholesale there is some things are not,1062.299,3.181
437
+ going to lend themselves to being,1064.34,3.48
438
+ gradualistically replaced truckers are,1065.48,4.02
439
+ going to be the same thing once we,1067.82,4.14
440
+ figure out how to automate trucks truck,1069.5,4.14
441
+ driving it's just not going to make,1071.96,3.9
442
+ sense to have truck drivers now that,1073.64,4.26
443
+ being said that's a very high threshold,1075.86,3.96
444
+ but once to reach that threshold it's a,1077.9,3.54
445
+ step change so that's what I mean by,1079.82,3.54
446
+ saltatory leaps that's that's a step,1081.44,3.96
447
+ change it's a more common term versus,1083.36,3.66
448
+ gradualistic where you kind of replace,1085.4,3.2
449
+ people slowly,1087.02,3.96
450
+ in some cases where you replace people,1088.6,4.3
451
+ slowly that could be like I.T staff,1090.98,2.939
452
+ right,1092.9,3.659
453
+ as a former automation engineer I can,1093.919,4.26
454
+ tell you that I have personally reduced,1096.559,4.441
455
+ head count in infrastructure departments,1098.179,5.161
456
+ by automating away jobs which reduce the,1101.0,4.919
457
+ demand but it was over time right it was,1103.34,4.079
458
+ like okay well we can do more with less,1105.919,3.301
459
+ let me automate a little bit more and,1107.419,3.421
460
+ then we can do more with less and so on,1109.22,3.0
461
+ and so forth and then eventually it was,1110.84,3.18
462
+ basically just me running the whole,1112.22,3.48
463
+ department by myself as an automation,1114.02,4.08
464
+ engineer not everything lends itself to,1115.7,4.8
465
+ that but that being said the amount of,1118.1,4.14
466
+ logic that goes into making decisions,1120.5,4.5
467
+ even financial decisions or executive,1122.24,4.86
468
+ decisions or HR decisions a lot of this,1125.0,4.1
469
+ is now within the realm of possibility,1127.1,6.54
470
+ of GPT Technologies so when I say that,1129.1,7.0
471
+ we could we could get rid of almost 25,1133.64,5.22
472
+ million jobs right now,1136.1,5.28
473
+ that's a number that I will stand behind,1138.86,4.439
474
+ again it's going to take time because,1141.38,4.32
475
+ there's inertia but then in terms of,1143.299,5.281
476
+ total risk of jobs that might go away,1145.7,6.0
477
+ for good looking at 77 million jobs in,1148.58,5.7
478
+ America leaving us with only 70 million,1151.7,4.44
479
+ jobs and we have a population of what,1154.28,4.5
480
+ 350 million or 400 million right now so,1156.14,4.32
481
+ that's an employment rate that is very,1158.78,3.54
482
+ very low that's a very high unemployment,1160.46,5.219
483
+ rate if if that comes to pass and again,1162.32,5.88
484
+ some of these things are dependent upon,1165.679,4.5
485
+ robotic advancements that are actively,1168.2,4.38
486
+ being worked on construction robots,1170.179,4.86
487
+ surgical robots general purpose domestic,1172.58,5.76
488
+ robots so that the aggregate demand for,1175.039,6.0
489
+ human labor is going to fall off a,1178.34,5.76
490
+ freaking Cliff that being said like okay,1181.039,6.781
491
+ you know what happens with when you have,1184.1,6.42
492
+ 70 million people which is less than a,1187.82,5.16
493
+ third of uh the Americans out there,1190.52,4.38
494
+ let's see what is it,1192.98,3.72
495
+ um I don't remember the population but,1194.9,3.5
496
+ let's say we have 380,1196.7,5.64
497
+ million Americans right now and,1198.4,7.24
498
+ we end up with only 70 million jobs,1202.34,6.86
499
+ um oh wait uh,1205.64,3.56
500
+ where's the invert there we go so that,1209.6,6.24
501
+ is a that is only 18 of our current,1212.0,5.82
502
+ employment so that means we'd be having,1215.84,5.64
503
+ an unemployment rate of about 82 percent,1217.82,7.739
504
+ um yeah so we go if if we end up with an,1221.48,7.199
505
+ unemployment rate of 82 percent uh that,1225.559,5.281
506
+ is not good uh based on current,1228.679,3.961
507
+ paradigms and so when people say oh well,1230.84,3.78
508
+ you know Dave you keep advocating for,1232.64,3.24
509
+ Universal basic income and that's,1234.62,3.9
510
+ socialism well if one out of if only one,1235.88,4.44
511
+ out of five people have a job,1238.52,4.68
512
+ we got to do something right if there,1240.32,4.5
513
+ it's that simple,1243.2,3.24
514
+ um now one thing that I wanted to point,1244.82,3.359
515
+ out is that people are like well where's,1246.44,3.0
516
+ the money going to come from where does,1248.179,3.781
517
+ money already come from money is created,1249.44,4.92
518
+ through uh through minting money and,1251.96,4.8
519
+ giving loans to central banks and who do,1254.36,4.08
520
+ the central banks give money to they,1256.76,2.94
521
+ lend it out to other Banks and,1258.44,3.359
522
+ corporations that's where money comes,1259.7,3.78
523
+ down from it doesn't come from the,1261.799,4.141
524
+ bottom up money is created at the center,1263.48,4.26
525
+ of the economic system and then it,1265.94,4.619
526
+ percolates outwards so when I when I,1267.74,5.16
527
+ mention in another video recently that,1270.559,4.74
528
+ uh B2B transactions are going to be what,1272.9,3.96
529
+ drives the economy that's what I'm,1275.299,4.981
530
+ referring to uh because you know if a,1276.86,5.34
531
+ company lends money to another company,1280.28,4.44
532
+ or bank or whatever and then they have,1282.2,4.859
533
+ goods and products and services the,1284.72,4.319
534
+ aggregate consumer demand is only part,1287.059,4.681
535
+ of that uh part of that equation uh,1289.039,4.14
536
+ because if if you have a lights out,1291.74,2.58
537
+ company that's selling goods and,1293.179,2.701
538
+ services to another lights out company,1294.32,3.96
539
+ the economy is going to be red hot even,1295.88,5.039
540
+ though there's no humans involved so,1298.28,5.3
541
+ that's why I mentioned in my in my uh,1300.919,4.801
542
+ macroeconomics or sorry post labor,1303.58,4.12
543
+ economics video that we're going to need,1305.72,3.24
544
+ new kpi,1307.7,2.7
545
+ and we're also going to need to,1308.96,4.079
546
+ redistribute that because right now the,1310.4,4.139
547
+ only way that money gets into the hands,1313.039,4.62
548
+ of consumers is through either the the,1314.539,5.461
549
+ very few uh entitlement programs that we,1317.659,5.88
550
+ do have uh which are relatively weak or,1320.0,5.94
551
+ through uh employment through money,1323.539,5.701
552
+ coming by force of extraction downwards,1325.94,4.979
553
+ uh through the through the grapevine,1329.24,4.5
554
+ from the central banks to the regional,1330.919,4.861
555
+ Banks to the corporations and then,1333.74,5.04
556
+ finally to us but if we if we reverse,1335.78,5.46
557
+ that if instead so this is basically,1338.78,5.1
558
+ what Universal basic income is to me if,1341.24,6.24
559
+ instead of lending money to from uh from,1343.88,5.64
560
+ you know the Federal Reserve to the,1347.48,4.26
561
+ central banks to the regional Banks what,1349.52,4.92
562
+ if we instead uh take about half of that,1351.74,4.86
563
+ and just give it instead of lending it,1354.44,4.08
564
+ out to Banks we just give it to,1356.6,3.54
565
+ Consumers,1358.52,3.36
566
+ and you just you just flip the the,1360.14,5.1
567
+ system uh on its head and so then the,1361.88,5.58
568
+ total amount of economic change is,1365.24,3.72
569
+ pretty much identical you're not,1367.46,2.94
570
+ printing any more money than you already,1368.96,2.459
571
+ were,1370.4,4.2
572
+ anyways this is all very uh getting very,1371.419,6.421
573
+ abstract point is uh there's a lot of,1374.6,4.86
574
+ change coming and here's some numbers to,1377.84,4.64
575
+ back it up thanks for watching,1379.46,3.02
AutoMuse ChatGPT local Python GUI TKINTER Now it can read my entire novel and do QA_transcript.csv ADDED
@@ -0,0 +1,422 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everybody David Shapiro here with a,0.719,4.441
3
+ video update,3.54,4.02
4
+ um so this is super exciting let me just,5.16,4.14
5
+ go ahead and show you right off the bat,7.56,3.42
6
+ what I'm working on and I apologize that,9.3,3.06
7
+ it's small,10.98,4.44
8
+ um this is uh it's a it's a very,12.36,5.999
9
+ primitive graphical user interface but,15.42,5.46
10
+ as most of you are aware chat GPT has,18.359,6.42
11
+ been in um let's shall we say bad shape,20.88,6.6
12
+ um network errors your history is gone,24.779,5.401
13
+ etc etc and for a lot of people that,27.48,4.86
14
+ means like your your work comes to a,30.18,4.74
15
+ grinding halt that being said I've been,32.34,5.52
16
+ working on learning the chat gbt API,34.92,5.459
17
+ I've got access to gpt4,37.86,5.34
18
+ um not the 32 000 token one um if anyone,40.379,4.321
19
+ knows how to request access to that,43.2,2.699
20
+ please let me know in the comments,44.7,4.14
21
+ because uh working on a novel I could,45.899,5.301
22
+ easily make use of the 32 000 tokens,48.84,5.16
23
+ that being said the 8 000 tokens will,51.2,6.879
24
+ carry you a really long ways so with,54.0,5.28
25
+ that being said,58.079,3.241
26
+ um this is the repo it's chat some,59.28,4.32
27
+ chapter summarizer gpt4 and it is,61.32,4.199
28
+ already completely wrong because it,63.6,3.72
29
+ provides developmental feedback Pros,65.519,3.901
30
+ feedback and now you can actually chat,67.32,3.299
31
+ with it,69.42,4.739
32
+ um and it will know your entire story so,70.619,5.701
33
+ how did I achieve this,74.159,5.82
34
+ um with the larger token window with the,76.32,6.96
35
+ 8000 token window that is enough that,79.979,4.5
36
+ you can,83.28,3.18
37
+ um some you can summarize all your,84.479,4.981
38
+ chapters and it will fit you generally,86.46,4.799
39
+ within it it probably won't fit by the,89.46,3.659
40
+ time I finish my novel but hopefully,91.259,5.22
41
+ I'll have access to the 32 000 token API,93.119,4.621
42
+ endpoint which means that I'll be able,96.479,4.561
43
+ to summarize the whole thing and then,97.74,5.4
44
+ what I did was I took the scratch Pad,101.04,3.66
45
+ here and I've got all this documented,103.14,3.0
46
+ too because this is like the best,104.7,4.5
47
+ instance of Auto Muse yet so basically,106.14,4.979
48
+ you copy and paste whatever you want,109.2,3.84
49
+ into the scratch Pad,111.119,5.221
50
+ um uh file uh whoops where did it go so,113.04,4.92
51
+ you copy it into scratch pad and you see,116.34,4.38
52
+ it's 24 kilobytes so this is a summary,117.96,6.9
53
+ of the first 19 chapters of my story,120.72,5.999
54
+ um and it's from here you know the,124.86,4.44
55
+ chapters the text the conversion the,126.719,4.26
56
+ chat logs oh I want to show you like,129.3,3.96
57
+ this is working right like here's all,130.979,4.201
58
+ the chat logs that I've got uh between,133.26,4.8
59
+ myself and and and the Muse which also,135.18,4.199
60
+ means that you've got a permanent record,138.06,3.78
61
+ even if chat gbt goes down,139.379,4.561
62
+ um and all this is excluded in the in,141.84,4.92
63
+ the git ignore so you see um open AI,143.94,6.0
64
+ your key is ignored chapters uh the,146.76,4.8
65
+ summaries and the chat logs and the,149.94,3.36
66
+ scratch Pad so don't you don't have to,151.56,3.42
67
+ worry about accidentally sharing any of,153.3,2.82
68
+ your own,154.98,3.36
69
+ um any of your own work,156.12,3.9
70
+ um it'll just stay local in the repo,158.34,4.74
71
+ when you copy it down now I was using,160.02,7.38
72
+ chat gpt4 to help write a graphical user,163.08,5.7
73
+ interface because I was like you know,167.4,2.64
74
+ what,168.78,3.84
75
+ um I could do this as a web web thing,170.04,5.279
76
+ but honestly I don't like why have,172.62,5.699
77
+ multiple apps running like why why use a,175.319,6.241
78
+ a web browser when python has a built-in,178.319,5.401
79
+ graphical user interface and so that's,181.56,3.3
80
+ this here,183.72,3.9
81
+ so I was using chat GPT,184.86,4.44
82
+ um to help make this and you can see,187.62,4.86
83
+ like it dynamically sizes I've got it,189.3,5.76
84
+ color coded so that you can just easily,192.48,5.22
85
+ see what's going on,195.06,4.92
86
+ um it also uses threading so that way,197.7,4.44
87
+ because it takes a while for the API to,199.98,5.16
88
+ uh to spit out something but yeah so let,202.14,6.12
89
+ me show you the uh the The Prompt that I,205.14,5.64
90
+ use so the scratch Pad this is just all,208.26,4.74
91
+ the information about your story I,210.78,4.5
92
+ probably will get this automatically,213.0,4.019
93
+ updated in the future but for right now,215.28,4.86
94
+ it's just manually copy pasted and then,217.019,5.22
95
+ I have a new kind of prompt it's a,220.14,3.599
96
+ instead of a prompt it's a system,222.239,2.941
97
+ message,223.739,4.08
98
+ so in this case it says here let me zoom,225.18,5.339
99
+ in I'm a writing assistant and coach the,227.819,4.381
100
+ following is the summary of chapters for,230.519,3.36
101
+ the novel the user is working on my job,232.2,3.42
102
+ is to help them develop their novel in,233.879,3.301
103
+ any way that I can including,235.62,3.119
104
+ brainstorming plotting outlining and,237.18,3.6
105
+ planning we may engage in developmental,238.739,3.72
106
+ editing which includes restructuring or,240.78,3.42
107
+ modifying character arcs plot threads,242.459,2.7
108
+ World building and development,244.2,3.66
109
+ developing of themes we almost we may,245.159,4.5
110
+ also work on finer grained aspects such,247.86,3.659
111
+ as character backstory subplots and so,249.659,4.381
112
+ on I should refer to highly professional,251.519,4.68
113
+ writing Concepts such as the 3x plot,254.04,4.199
114
+ structure the work of Joseph Campbell,256.199,4.801
115
+ and CG young save the cat and any other,258.239,5.041
116
+ formalized approaches to storytelling I,261.0,4.08
117
+ should not seek to push the author but,263.28,3.6
118
+ rather teach them when I perceive gaps,265.08,4.14
119
+ in their understanding Above All Else my,266.88,3.72
120
+ primary mission is to help them produce,269.22,4.14
121
+ an amazing work of literature,270.6,4.92
122
+ um and then so then I you can populate,273.36,4.38
123
+ whatever's in the scratch Pad here and,275.52,4.02
124
+ again you can dynamically update this if,277.74,3.06
125
+ you want,279.54,2.939
126
+ um important note the above material is,280.8,3.42
127
+ provided for background information this,282.479,3.72
128
+ format is not necessarily intended to be,284.22,4.14
129
+ used moving forward lastly be sure to,286.199,3.421
130
+ ask plenty of questions so that the,288.36,2.76
131
+ author remains firmly in the driver's,289.62,4.92
132
+ seat so this huge Constitution or,291.12,6.18
133
+ purpose or system message actually works,294.54,3.96
134
+ really well,297.3,3.06
135
+ so in this case,298.5,4.08
136
+ um just right off the bat I can say hey,300.36,3.899
137
+ describe the main characters and,302.58,2.94
138
+ identifies all four of the main,304.259,4.021
139
+ characters and gives a very succinct,305.52,5.7
140
+ definition of them and actually this,308.28,5.82
141
+ would be really good back matter,311.22,6.78
142
+ um for the the you know the little blurb,314.1,6.12
143
+ um so you can see that just with one,318.0,4.62
144
+ message it is able to,320.22,5.1
145
+ um uh read my entire story up to this,322.62,5.1
146
+ point while the summaries at least and,325.32,4.5
147
+ we can talk about it obviously I don't,327.72,3.78
148
+ want to reveal too much more about my,329.82,2.76
149
+ story,331.5,3.0
150
+ um you guys know the main characters and,332.58,3.839
151
+ a little bit about them,334.5,5.46
152
+ um but yeah so uh give it a try yourself,336.419,6.181
153
+ I'm super happy with this,339.96,4.32
154
+ um and the biggest thing that it does is,342.6,4.74
155
+ it saves time because again I've got,344.28,5.04
156
+ I've got all of my chapters loaded into,347.34,3.96
157
+ it and now I can just ask it whatever I,349.32,2.939
158
+ need,351.3,2.66
159
+ um also I found that this system message,352.259,4.141
160
+ it really cuts to the point I'm just,353.96,4.12
161
+ like hey let's plan the scenes for the,356.4,3.6
162
+ next chapter it's like okay cool let's,358.08,3.059
163
+ go,360.0,3.18
164
+ um it does it does do a little bit too,361.139,4.321
165
+ much for me but the fact that you don't,363.18,3.959
166
+ have to spend too much time going back,365.46,4.079
167
+ and forth I think is actually better,367.139,4.921
168
+ because it will it'll come up with an,369.539,4.261
169
+ idea and say hey do you like this let's,372.06,3.96
170
+ modify it and then you can say yes let's,373.8,3.72
171
+ modify it,376.02,3.66
172
+ um so that's probably all you need to,377.52,4.679
173
+ know but now we can step through the uh,379.68,4.5
174
+ the the function,382.199,4.44
175
+ um so I I did a nice clear demarcation,384.18,4.56
176
+ this is what I wrote,386.639,4.221
177
+ so just these just these three things,388.74,5.1
178
+ open file save file the chat GPT,390.86,5.08
179
+ completion which you can see it's using,393.84,4.26
180
+ gpt4,395.94,4.379
181
+ um I did I do still have it nested in a,398.1,5.039
182
+ while true Loop which is basically just,400.319,5.181
183
+ to capture in case um,403.139,5.461
184
+ in case the API has an error which it,405.5,6.039
185
+ does all the time lately and then I,408.6,6.36
186
+ added this here because if the chat,411.539,5.94
187
+ conversation gets too long,414.96,5.16
188
+ um it will it will give you a maximum,417.479,4.621
189
+ content length there and so in that case,420.12,4.079
190
+ I just removed the oldest message,422.1,4.2
191
+ not a big deal,424.199,2.761
192
+ um,426.3,4.14
193
+ it actually uh chat gpt4 said why don't,426.96,5.579
194
+ you actually measure the tokens and just,430.44,4.68
195
+ uh remove it until it's done but I,432.539,4.021
196
+ couldn't actually find anything on this,435.12,4.74
197
+ the the open AI API client the clean the,436.56,5.1
198
+ underscore clean,439.86,2.76
199
+ um,441.66,2.7
200
+ I think that's a tokenizer but I,442.62,3.78
201
+ couldn't find any documentation and I,444.36,4.32
202
+ didn't want to try it just yet but,446.4,4.98
203
+ anyway so that's there uh let's see,448.68,4.98
204
+ nothing else really changed here,451.38,3.84
205
+ um I still have the exponential back off,453.66,3.42
206
+ which basically means that it'll wait,455.22,5.28
207
+ longer and longer to retry until it will,457.08,5.28
208
+ finally give up,460.5,4.819
209
+ um and it's just because the the the the,462.36,6.0
210
+ API is wonky right now now everything,465.319,7.181
211
+ from here down was written by gpt4,468.36,6.48
212
+ uh just with some feedback back and,472.5,5.759
213
+ forth between myself and gpt4 so,474.84,5.639
214
+ basically it came up with the function,478.259,4.321
215
+ to send the message the thread to get,480.479,6.06
216
+ the response I asked it to uh to ignore,482.58,6.119
217
+ like if you if you use shift enter it,486.539,4.38
218
+ will just insert the um the new line,488.699,3.601
219
+ character otherwise it'll send the,490.919,2.641
220
+ message,492.3,3.299
221
+ um because I realize like that function,493.56,5.34
222
+ is available in chat GPT on the web and,495.599,5.88
223
+ then finally uh it did every uh,498.9,5.04
224
+ basically all it did was it took I gave,501.479,4.56
225
+ it this much and you can see here where,503.94,4.74
226
+ we populate the system message by,506.039,4.38
227
+ loading what you have in the scratch pad,508.68,3.539
228
+ it then populates the system message,510.419,3.841
229
+ based on this,512.219,4.861
230
+ and starts the conversation with that,514.26,5.88
231
+ um so the the the system role will be in,517.08,6.18
232
+ index zero meaning index one is going to,520.14,4.259
233
+ be the oldest message in the,523.26,2.22
234
+ conversation,524.399,3.241
235
+ so then it fires up the ticket the,525.48,4.56
236
+ tokenter GUI oh and for anyone who's not,527.64,4.379
237
+ familiar with tokenter um that's what,530.04,3.96
238
+ this is it's just it's a really brain,532.019,4.5
239
+ dead simple uh portable,534.0,5.76
240
+ um uh graphical user interface and so,536.519,5.341
241
+ then it constructs it all there's a few,539.76,4.259
242
+ problems when I first created it so one,541.86,5.82
243
+ the the window was was static so it,544.019,6.241
244
+ wouldn't allow you to expand and then,547.68,4.62
245
+ also while it was waiting for the API to,550.26,3.48
246
+ respond the whole thing would freeze and,552.3,3.719
247
+ say not responding but now it has a,553.74,4.08
248
+ little output here that says you know,556.019,3.961
249
+ Auto Muse is thinking,557.82,5.34
250
+ um so welcome to Auto Muse,559.98,5.58
251
+ um it gave the uh you know it set to,563.16,3.9
252
+ word wrap,565.56,4.02
253
+ um it's yeah so basically it just when I,567.06,4.62
254
+ had when I had an issue I just said okay,569.58,4.439
255
+ hey can you make this modification,571.68,5.04
256
+ um and away it goes and then again one,574.019,5.521
257
+ thing that that I haven't integrated is,576.72,4.14
258
+ um being able to search the previous,579.54,4.5
259
+ logs but because of the work that I've,580.86,7.68
260
+ been doing on um on other topics,584.04,6.479
261
+ um that that'll be there now,588.54,4.2
262
+ it might not be relevant because once we,590.519,4.5
263
+ get to the 32 000 token window limit,592.74,4.26
264
+ that's going to be like,595.019,5.161
265
+ what like a hundred Pages uh worth of,597.0,5.58
266
+ chat logs like you won't even need that,600.18,5.04
267
+ much uh history right so you could load,602.58,6.0
268
+ this entire history and you know most of,605.22,5.4
269
+ it's going to be irrelevant uh so,608.58,4.56
270
+ anyways we'll see I did have a thought,610.62,5.52
271
+ uh one final thought about the kinds of,613.14,5.34
272
+ problems that we that we solve just by,616.14,5.04
273
+ increasing context window,618.48,5.28
274
+ um is amazing and so basically what I'm,621.18,5.04
275
+ going to be doing from now on is I'm not,623.76,5.88
276
+ even gonna try and and force problems to,626.22,5.52
277
+ fit into smaller context Windows because,629.64,4.4
278
+ one larger context windows are coming,631.74,5.4
279
+ and two the kinds of problems you are,634.04,4.96
280
+ able to address once you have that,637.14,3.379
281
+ larger amount of working memory,639.0,4.38
282
+ completely changes the game,640.519,5.32
283
+ um so I was talking with my fiance and,643.38,5.579
284
+ some people on Discord and what we're,645.839,5.161
285
+ noticing is that we're getting more and,648.959,4.681
286
+ more purpose-built models so there are,651.0,4.2
287
+ some open source models out there that,653.64,4.08
288
+ have token windows up to 64 000 tokens,655.2,5.34
289
+ which is crazy some of them have 16 000,657.72,5.22
290
+ tokens so on and so forth so what we,660.54,4.08
291
+ expect to happen,662.94,4.56
292
+ is that uh we're going to end up with,664.62,5.219
293
+ many many many models most of them open,667.5,4.92
294
+ source that are purpose built for,669.839,5.641
295
+ specific tasks so for instance some,672.42,6.24
296
+ models are going to be focused on uh,675.48,4.14
297
+ they're going to be like window,678.66,3.419
298
+ optimized models right so like we might,679.62,4.62
299
+ eventually have a window optimized model,682.079,5.521
300
+ that can have a token uh window of like,684.24,6.36
301
+ a thousand uh not a thousand a million,687.6,5.16
302
+ tokens right but then we might also have,690.6,4.38
303
+ compute optimized models or cognition,692.76,3.84
304
+ optimized models,694.98,2.88
305
+ um that sort of stuff and some of the,696.6,2.58
306
+ people in Discord are like oh yeah I'm,697.86,2.88
307
+ already working on that so that's the,699.18,3.36
308
+ way that it's going,700.74,5.099
309
+ um and then aside from that uh from just,702.54,5.64
310
+ from a psychological perspective my,705.839,4.74
311
+ fiance pointed out that working memory,708.18,5.04
312
+ is actually one of the biggest factor in,710.579,6.181
313
+ intelligence and that by by doubling the,713.22,5.04
314
+ working memory the effective working,716.76,4.079
315
+ memory by going from gpt3 with a token,718.26,5.519
316
+ count of four thousand to gpt4 with a,720.839,6.0
317
+ token Window 8 000 doubling the working,723.779,5.521
318
+ memory that like basically takes it up,726.839,4.861
319
+ in order of magnitude or a standard,729.3,4.14
320
+ deviation of IQ,731.7,6.56
321
+ so if GPT 3.5 had an IQ of about 115,733.44,7.5
322
+ doubling that that window takes it up,738.26,6.04
323
+ another 15 points to about 130,740.94,5.88
324
+ um and then when you when you actually,744.3,4.5
325
+ if you were to test its IQ based on,746.82,5.519
326
+ speed it's probably already like,748.8,6.18
327
+ in the 160s or something,752.339,5.101
328
+ um and the so there's there's from from,754.98,4.859
329
+ a from a numbers perspective,757.44,4.86
330
+ two of the universal features of,759.839,4.201
331
+ intelligence that figure that should,762.3,4.2
332
+ figure into a good IQ test one is,764.04,5.28
333
+ processing so IQ,766.5,5.519
334
+ um most IQ tests are actually speed,769.32,5.819
335
+ tests which because speed is a good,772.019,5.94
336
+ proxy for a lot of kinds of intelligence,775.139,6.241
337
+ so your mental speed is not your IQ but,777.959,5.82
338
+ it is a proxy for actual intelligence,781.38,5.16
339
+ and so when you measure the speed of,783.779,6.12
340
+ gpt3 and gpt4 its IQ is actually really,786.54,7.32
341
+ high but then the other universal one of,789.899,5.521
342
+ the other Universal things is working,793.86,2.76
343
+ memory,795.42,4.68
344
+ so uh working memory is also a really,796.62,7.08
345
+ good proxy for uh for intelligence and,800.1,5.64
346
+ many forms of intelligence so when you,803.7,4.68
347
+ combine the large working memory,805.74,4.92
348
+ combined with the speed,808.38,4.8
349
+ um of reading and output I would say,810.66,5.78
350
+ gpt4 probably has an effect IQ of around,813.18,7.08
351
+ 130 if I had to guess now that being,816.44,5.86
352
+ said it doesn't have permanent memory,820.26,3.84
353
+ you have to have a secondary system for,822.3,3.96
354
+ that but that paper came out that talked,824.1,4.56
355
+ about how storage systems combined with,826.26,5.519
356
+ llms are are computationally complete so,828.66,5.76
357
+ I'm not worried about that,831.779,4.5
358
+ um yeah so that's that's the direction,834.42,4.02
359
+ it's going and that's where we're at,836.279,5.281
360
+ right now so I'm really excited to get,838.44,5.94
361
+ my hands on the 32 000 token one I think,841.56,4.26
362
+ that that will also really help with the,844.38,3.18
363
+ scientific research one,845.82,4.38
364
+ so I haven't made any progress on oh and,847.56,3.959
365
+ I also wanted to show you how expensive,850.2,3.66
366
+ it was so yesterday it cost about four,851.519,4.681
367
+ to eight dollars to summarize the first,853.86,4.74
368
+ 60 of my novel and then the,856.2,4.439
369
+ conversations that I had about it so,858.6,3.66
370
+ even just reading all the summaries and,860.639,3.541
371
+ talking about it cost another two,862.26,4.44
372
+ dollars and 62 cents which is still kind,864.18,4.56
373
+ of expensive but in the grand scheme of,866.7,5.34
374
+ things like it's so fast and it is still,868.74,4.62
375
+ a lot more expensive than just the,872.04,3.0
376
+ twenty dollars a month,873.36,4.2
377
+ um for the like unlimited chat GPT but,875.04,3.84
378
+ that price will come down I'm not,877.56,3.54
379
+ worried about that but anyways so,878.88,4.8
380
+ figuring out these chat interfaces and,881.1,4.62
381
+ how to handle large amounts of,883.68,3.779
382
+ information and and really how to make,885.72,4.44
383
+ the most use of the system window that,887.459,4.981
384
+ is what I'm working on now and I will,890.16,5.039
385
+ return to the um,892.44,5.22
386
+ let's see where is it,895.199,4.38
387
+ um the yeah the regenerative medicine,897.66,3.9
388
+ thing so I've been thinking about this,899.579,3.241
389
+ one,901.56,3.899
390
+ um come on so I got a bunch of papers,902.82,4.259
391
+ but the thing is is these papers are,905.459,3.12
392
+ unrelated wow it's already been two,907.079,3.781
393
+ weeks good grief,908.579,4.981
394
+ um a lot of these papers are unrelated,910.86,4.44
395
+ um which I think,913.56,3.48
396
+ um is kind of problematic although you,915.3,3.3
397
+ might think the idea that like cost,917.04,3.84
398
+ pollinating stuff like correlating stuff,918.6,4.02
399
+ from unrelated papers could be really,920.88,5.1
400
+ good priming exercise so anyways as I'm,922.62,5.339
401
+ getting more familiar with the chat GPT,925.98,4.799
402
+ API and how to use it I will come back,927.959,5.341
403
+ to this because I realized like yeah I,930.779,3.841
404
+ really want to help accelerate science,933.3,4.02
405
+ as fast as possible because I'm really,934.62,4.26
406
+ looking forward to the day where I can,937.32,3.66
407
+ go to the doctor and just like get an,938.88,4.079
408
+ outpatient injection and then of my,940.98,3.479
409
+ joints will feel better in a few months,942.959,4.861
410
+ right that's really what I want,944.459,5.94
411
+ um because man like I do not have as,947.82,4.379
412
+ much energy as I used to and I have to,950.399,3.481
413
+ be really careful because like I have,952.199,3.421
414
+ old shoulder entries from falling while,953.88,3.42
415
+ snowboarding like there's so much that I,955.62,3.42
416
+ can't do anymore just because I don't,957.3,3.779
417
+ want to hurt myself anymore,959.04,3.72
418
+ um anyways I'm complaining about getting,961.079,3.781
419
+ old it sucks everybody knows that I,962.76,4.5
420
+ think this is enough of the video so,964.86,5.099
421
+ thanks for watching cheers stay tuned,967.26,7.22
422
+ um this is this is so much fun,969.959,4.521
Automating Science with GPT4 attempting and failing to perform autonomous literature review_transcript.csv ADDED
@@ -0,0 +1,336 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ what is up everyone David Shapiro here,0.359,8.16
3
+ and we are working on science,4.2,7.68
4
+ okay so where we left off what I was,8.519,6.921
5
+ working on was my um,11.88,6.06
6
+ basically automating science and a lot,15.44,4.48
7
+ of you have have pointed out that like,17.94,3.9
8
+ you would prefer that I keep working on,19.92,4.019
9
+ autonomous cognitive entities and Raven,21.84,4.199
10
+ and stuff like that but what I wanted to,23.939,3.84
11
+ say is that I'm working with some really,26.039,4.441
12
+ like the world leaders in cognitive,27.779,4.32
13
+ architecture at least the ones that are,30.48,4.44
14
+ not already in Academia and,32.099,5.401
15
+ um in in inside the establishment so,34.92,4.86
16
+ those of us that are outside are working,37.5,5.18
17
+ together and so we'll have some,39.78,6.54
18
+ demonstrations in the coming weeks and,42.68,5.08
19
+ the stuff that these guys are working on,46.32,4.559
20
+ the level of autonomy that these,47.76,6.18
21
+ machines have is incredible,50.879,5.041
22
+ um so with that being said I am moving,53.94,5.939
23
+ on to science and the reason is,55.92,7.439
24
+ um one I have an ability to make sign uh,59.879,5.521
25
+ make this stuff more accessible and I,63.359,3.661
26
+ get so many messages from people that,65.4,3.539
27
+ like either have never coded or haven't,67.02,4.62
28
+ coded in many years who are inspired by,68.939,5.521
29
+ my work to get back in and like the more,71.64,4.74
30
+ people we we have participating in,74.46,4.019
31
+ artificial intelligence and science the,76.38,3.419
32
+ better,78.479,3.601
33
+ um yeah so that that's that so that's,79.799,4.32
34
+ that's my mission now,82.08,5.96
35
+ um with that being said I wanted to,84.119,6.481
36
+ revisit this idea of regenerative,88.04,4.66
37
+ medicine because that's important to me,90.6,3.42
38
+ etc etc,92.7,5.64
39
+ so uh last time I I what we did was we,94.02,6.959
40
+ found some sources so we've got the the,98.34,4.56
41
+ open Journal of regenerative medicine,100.979,5.161
42
+ we've got bio archive and then the,102.9,6.6
43
+ regenerative medicine topic on on nature,106.14,5.82
44
+ that's still really broad,109.5,4.74
45
+ um because like let's say you're you're,111.96,4.92
46
+ an orthopedic surgeon who focuses on,114.24,4.68
47
+ shoulders or you know cervical joints or,116.88,2.879
48
+ whatever,118.92,3.42
49
+ uh or a researcher who has a particular,119.759,4.621
50
+ body part that you're focusing on you're,122.34,3.36
51
+ going to want to perform a literature,124.38,2.82
52
+ review that's a little bit more narrow,125.7,4.02
53
+ so what I started doing was looking for,127.2,4.32
54
+ data sources that were going to be a,129.72,3.659
55
+ little bit more specific to what we want,131.52,4.799
56
+ now I also got access to Bard,133.379,5.58
57
+ and I gave Bard and Bing the same exact,136.319,4.621
58
+ thing and Bing was just like okay yeah,138.959,3.721
59
+ here's here's a few here's a few,140.94,3.9
60
+ examples and uh the one that it gave,142.68,3.6
61
+ here,144.84,4.92
62
+ um was directly relevant and it was,146.28,6.0
63
+ um it's over a year old but still,149.76,4.32
64
+ um or not over a year old it's about six,152.28,3.0
65
+ months old,154.08,3.9
66
+ um still not bad and then I asked,155.28,4.44
67
+ I asked Barton it's like I can't help,157.98,4.02
68
+ what that is I'm only a language model,159.72,5.7
69
+ um can you search the internet,162.0,6.3
70
+ uh like aren't you a search engine now,165.42,5.76
71
+ Bard is still in beta so yes,168.3,4.62
72
+ um,171.18,5.72
73
+ okay it looks like it doesn't even have,172.92,3.98
74
+ yeah it's this is this is like super,176.94,6.18
75
+ super basic okay so Bart is not useful,179.58,6.36
76
+ um now that being said uh I did find a,183.12,5.1
77
+ few things for you know cartilage,185.94,4.079
78
+ regeneration,188.22,4.2
79
+ um Rehabilitation so this is all,190.019,6.121
80
+ specific to shoulders and stem cells,192.42,6.0
81
+ um under regenerative medicine if we go,196.14,4.2
82
+ a little bit broader,198.42,4.14
83
+ um we get up to actually I guess we,200.34,3.66
84
+ still only get five results under the,202.56,3.48
85
+ nature Journal of regenerative medicine,204.0,4.56
86
+ which is fine uh bio archive gives us a,206.04,4.32
87
+ little bit more under stem cell so,208.56,4.02
88
+ basically the next step is I'm going to,210.36,5.04
89
+ download and process some some uh papers,212.58,4.92
90
+ that are specific to this and then I'll,215.4,4.02
91
+ show you what happens next,217.5,5.04
92
+ um basically I was chatting with some uh,219.42,5.58
93
+ some of my friends and we were talking,222.54,6.119
94
+ about how loquacious how verbose the,225.0,5.519
95
+ models are and we're working on that,228.659,3.121
96
+ concept of sparse priming,230.519,3.78
97
+ representations and we came up with a,231.78,4.739
98
+ conversational model that is also sparse,234.299,4.381
99
+ and very concise and that is Morden,236.519,4.261
100
+ Solas from Mass Effect so we're,238.68,4.5
101
+ basically creating a modern Solis uh,240.78,4.86
102
+ chatbot model and it's great it's also,243.18,3.66
103
+ really hilarious so I'll show you that,245.64,3.36
104
+ in just a moment but yeah we'll be right,246.84,3.72
105
+ back,249.0,3.959
106
+ okay I wanted to add a quick note I just,250.56,4.98
107
+ found journals.sage Pub which has an,252.959,5.161
108
+ open access feature and is actually,255.54,3.9
109
+ pretty nice so I'm going to download a,258.12,3.06
110
+ few more from here also I've got all the,259.44,3.539
111
+ sources documented in the readme which I,261.18,3.72
112
+ am working on updating so don't worry,262.979,3.961
113
+ all of this will be documented,264.9,4.56
114
+ um for ease of access all right be right,266.94,3.36
115
+ back,269.46,2.94
116
+ okay we're about ready to test here let,270.3,4.679
117
+ me sit up actually okay,272.4,4.5
118
+ um but yeah so here is the system,274.979,5.041
119
+ message it doesn't work in 3.5 and,276.9,6.06
120
+ that's not uh surprising because 3.5,280.02,4.8
121
+ they even documented that it doesn't pay,282.96,4.56
122
+ as much attention to the system message,284.82,4.14
123
+ um but in this case I say I am more,287.52,3.179
124
+ modern soul is scientist solarian,288.96,3.0
125
+ currently performing literature review,290.699,3.541
126
+ reading many papers taking notes as I go,291.96,4.56
127
+ user assisting by submitting research,294.24,4.26
128
+ pages incrementally will respond with,296.52,3.72
129
+ Salient notes hypotheses possible,298.5,3.3
130
+ research questions suspected gaps in,300.24,3.42
131
+ scientific literature and so on whatever,301.8,3.42
132
+ is most relevant important note,303.66,3.3
133
+ responses will be recorded by user to,305.22,3.84
134
+ review later responses must include,306.96,4.38
135
+ sufficient context to understand goal,309.06,3.72
136
+ always same Advanced science solve,311.34,2.7
137
+ problems help people respond should,312.78,2.76
138
+ follow same linguistic pattern focus on,314.04,3.0
139
+ word economy convey much without,315.54,3.06
140
+ Superfluous words avoid missing,317.04,3.9
141
+ important details so here I've got just,318.6,3.92
142
+ a random page,320.94,4.68
143
+ from uh from one of the papers that I,322.52,5.56
144
+ got and you can see that it the PDF,325.62,4.68
145
+ scraping didn't really work because it's,328.08,4.679
146
+ missing a lot of spaces so let me just,330.3,3.899
147
+ show you how good this is it's a little,332.759,4.801
148
+ bit slow because it's gpt4,334.199,7.161
149
+ um but yeah so it fix it it,337.56,6.6
150
+ fixes the spelling and stuff,341.36,5.38
151
+ um and so on,344.16,5.52
152
+ and it basically just um summarizing it,346.74,5.58
153
+ as it goes let's see post-operative,349.68,4.739
154
+ Rehabilitation and mobilization for four,352.32,4.46
155
+ weeks,354.419,2.361
156
+ so there you go not only is it not only,358.62,6.06
157
+ is it re-summarizing it but it is um,361.56,6.66
158
+ but it is it's uh like cleaning cleaning,364.68,4.62
159
+ it up,368.22,3.84
160
+ um and it's posing a research question,369.3,5.04
161
+ so if we go back to the file and then,372.06,4.74
162
+ add the next page,374.34,5.28
163
+ to the chat,376.8,5.94
164
+ um basically I'm having chat gpt4,379.62,7.46
165
+ read it and restate it as it goes,382.74,6.84
166
+ and it will accumulate more and more,387.08,4.059
167
+ insights and what I'm going to do with,389.58,2.64
168
+ the script and I'll show you the script,391.139,2.701
169
+ in a second is actually record this,392.22,4.5
170
+ output along alongside the pages but I'm,393.84,6.799
171
+ showing you oh come on,396.72,3.919
172
+ there we go statistical analysis,400.86,4.559
173
+ performing SPS statistics,402.36,4.5
174
+ um,405.419,3.12
175
+ paired t-test,406.86,3.48
176
+ Etc et cetera so you can see that it it,408.539,5.1
177
+ goes uh pretty quickly results,410.34,5.639
178
+ um basically restates the results uh,413.639,4.881
179
+ pretty quickly,415.979,2.541
180
+ um also nice and clean,419.699,3.021
181
+ possible research questions factors,423.24,5.48
182
+ there you go,426.0,2.72
183
+ so there we have it it's ready to go now,429.24,6.36
184
+ with 17 PA papers,432.539,5.88
185
+ um and quite a bit of text,435.6,3.599
186
+ um,438.419,2.701
187
+ it's probably going to be prohibitively,439.199,4.22
188
+ expensive yeah because you see this is,441.12,5.4
189
+ uh two and a half million lines,443.419,3.881
190
+ um,446.52,4.32
191
+ of uh of text so I'm probably not going,447.3,6.06
192
+ to have it read the entire thing,450.84,3.9
193
+ um because this,453.36,3.38
194
+ let me see how long this original one is,454.74,7.799
195
+ 2023.01 16 522 18v1,456.74,5.799
196
+ so that was oh that was this one that,462.66,4.379
197
+ I've Wait no that's the that's the Json,465.0,4.44
198
+ I need the text,467.039,4.321
199
+ um let's see,469.44,5.599
200
+ 121 kilobytes,471.36,3.679
201
+ so the number of new pages that shows up,475.62,4.859
202
+ here oh it's got it at the end so it's,477.78,4.38
203
+ only 50 pages,480.479,2.94
204
+ um so this will be a little bit,482.16,4.2
205
+ expensive but we'll see also one thing,483.419,5.34
206
+ that I can probably work to exclude is,486.36,4.44
207
+ all the citations,488.759,3.961
208
+ um but maybe that's not actually a bad,490.8,5.04
209
+ bad thing to to include,492.72,4.86
210
+ um but yes let's run the script let me,495.84,4.199
211
+ show you the script real quick so read,497.58,4.98
212
+ papers it's super straightforward I've,500.039,5.94
213
+ got the same chat GPT completion we've,502.56,6.72
214
+ got gpt4 I set the temperature to zero,505.979,4.321
215
+ um,509.28,4.8
216
+ it'll save it all out let's see and then,510.3,7.56
217
+ here for file in an OS Lister papers,514.08,6.3
218
+ underscore Json if file ends with Json,517.86,5.82
219
+ file path join load the load the file,520.38,7.62
220
+ and then four page in data Pages which,523.68,6.779
221
+ is what you can see here so original,528.0,4.56
222
+ file name pages and then there's the,530.459,3.961
223
+ embedding page number in text so they,532.56,3.6
224
+ are in order so basically it'll be,534.42,4.14
225
+ reading each page one at a time and kind,536.16,5.52
226
+ of thinking as it goes so this is a very,538.56,5.339
227
+ simple cognitive cognitive architecture,541.68,5.4
228
+ that will basically just pretend to be,543.899,5.88
229
+ a research scientist reading papers as,547.08,5.52
230
+ it goes kind of jotting down notes we,549.779,4.861
231
+ could probably do a little bit more,552.6,5.22
232
+ concise but it's doing a good job of,554.64,6.3
233
+ summarizing the most Salient details,557.82,4.38
234
+ um and that's probably as far as I'll,560.94,2.64
235
+ get today,562.2,3.72
236
+ and then it appends it all so on and so,563.58,5.04
237
+ forth and then up here uh basically what,565.92,5.7
238
+ I do is is I'll I'll try and and do the,568.62,5.76
239
+ the output but if it if it is too long,571.62,5.219
240
+ then I'll just remove the oldest message,574.38,6.0
241
+ so let's see what happens with this,576.839,6.421
242
+ um all right so clear screen zoom in a,580.38,6.0
243
+ little so you can see it python step,583.26,5.1
244
+ three read papers,586.38,4.32
245
+ and let's see how it goes so because,588.36,3.9
246
+ we're not I'm not using the streaming,590.7,3.24
247
+ API we're only going to see the output,592.26,4.56
248
+ once uh Morden is done,593.94,3.54
249
+ um,596.82,3.18
250
+ and then I'll let this run at least for,597.48,4.919
251
+ a little bit because gpt4 is so,600.0,5.36
252
+ expensive I probably won't do all 17,602.399,5.641
253
+ Pages let's see so we're all night 28,605.36,5.26
254
+ cents right now so we'll see about how,608.04,5.58
255
+ expensive they are per run,610.62,4.98
256
+ um there we go,613.62,4.38
257
+ objective methods results conclusion,615.6,4.44
258
+ okay cool,618.0,5.04
259
+ so just restates it very very succinctly,620.04,4.68
260
+ we'll watch it a couple more times,623.04,3.78
261
+ you're probably watching on 2x anyways,624.72,4.619
262
+ so and actually some of you watch on 3x,626.82,4.38
263
+ I don't know how you understand me if,629.339,3.781
264
+ you watch that fast,631.2,5.759
265
+ um but yeah so while that's running,633.12,6.48
266
+ let's see,636.959,5.641
267
+ do a quick refresh it takes what like,639.6,5.28
268
+ five minutes to update,642.6,4.2
269
+ so we'll see,644.88,2.959
270
+ um,646.8,5.039
271
+ objective design and exosuit there we go,647.839,6.881
272
+ conclusion exomuscle design,651.839,5.521
273
+ so it looks like it's kind of restating,654.72,5.34
274
+ it it could it could be problematic to,657.36,4.52
275
+ keep feeding it in,660.06,4.62
276
+ talks about the design,661.88,7.44
277
+ thermoplastic polyurethane TPU coated,664.68,4.64
278
+ and also we should have the uh chat logs,672.48,4.919
279
+ here,676.32,3.24
280
+ okay so the chat logs are just are are,677.399,4.56
281
+ just um saving the whole thing I guess,679.56,5.219
282
+ what I should do is also save the um,681.959,7.641
283
+ save the user input but let's see,684.779,4.821
284
+ so it keep keeps restating the whole,694.98,6.06
285
+ paper which I don't think is a good use,697.92,4.32
286
+ of,701.04,3.12
287
+ of time,702.24,4.64
288
+ all right,704.16,2.72
289
+ it's not not a good use of tokens here,710.399,3.12
290
+ I'm going to pause it real quick and see,712.44,2.399
291
+ if I can investigate what's going on,713.519,2.88
292
+ here,714.839,3.421
293
+ okay I changed the system message a,716.399,3.601
294
+ little bit and it works um much better,718.26,4.74
295
+ so basically I just added a um a note,720.0,4.68
296
+ here at the end focus on last page no,723.0,3.18
297
+ need to restate all notes every time,724.68,4.68
298
+ prefer to keep notes concise succinct,726.18,5.279
299
+ um and then the exponential back off,729.36,4.68
300
+ that I added last time is actually,731.459,5.94
301
+ really helpful because the gpt4 API is,734.04,6.6
302
+ so busy it you're liable to time out but,737.399,6.06
303
+ also you might also get rate limited so,740.64,6.0
304
+ the longer between times but so anyways,743.459,5.761
305
+ here let me show you what I mean,746.64,4.439
306
+ um,749.22,4.64
307
+ there we go,751.079,2.781
308
+ it's better it's not perfect so in this,754.56,4.44
309
+ case it summarizes the first page and,757.079,3.481
310
+ then we move on to the second page where,759.0,3.959
311
+ it talks about the design comparison and,760.56,3.54
312
+ findings,762.959,3.361
313
+ so we're getting there,764.1,5.88
314
+ and then uh testing and testing results,766.32,6.24
315
+ conclusion it's a pretty short paper one,769.98,4.32
316
+ thing that occurs to me is that with the,772.56,3.36
317
+ longer because I started this experiment,774.3,4.2
318
+ before I had access to gpt4 so I might,775.92,5.039
319
+ need to go back to the drawing board and,778.5,5.16
320
+ make use of that 8 000 token,780.959,5.101
321
+ um window so rather than submitting it,783.66,4.859
322
+ one page at a time which was you know,786.06,5.82
323
+ when I only had 4 000 tokens what I,788.519,6.541
324
+ might do is redo this and kind of do it,791.88,5.88
325
+ as like one big chunk,795.06,6.36
326
+ um to to summarize it but another rule,797.76,6.3
327
+ of thumb that I have is is don't try to,801.42,5.159
328
+ force the context window because if it,804.06,5.459
329
+ doesn't work it doesn't work and the,806.579,4.38
330
+ fact that it keeps restating this I,809.519,2.521
331
+ think this might not be the right,810.959,4.32
332
+ approach but the idea is still there,812.04,5.64
333
+ where it's like let's let's use the,815.279,4.141
334
+ model to do as much of the science as,817.68,5.339
335
+ possible so today was kind of a wash but,819.42,7.34
336
+ we'll see all right thanks for watching,823.019,3.741
Axiomatic Alignment A critical component to Utopia and the Control Problem_transcript.csv ADDED
@@ -0,0 +1,723 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.719,4.141
3
+ a brand new video,3.24,3.72
4
+ so today's video we're going to talk,4.86,6.0
5
+ about axiomatic alignment which is a,6.96,6.24
6
+ potential solution or part of a of the,10.86,4.8
7
+ solution to the control problem,13.2,5.339
8
+ before we dive into today's video I just,15.66,5.94
9
+ want to do a quick plug for my patreon I,18.539,5.041
10
+ have lots of folks on patreon we've got,21.6,4.439
11
+ a private Discord if you have any,23.58,6.6
12
+ questions about AI I am happy to consult,26.039,6.06
13
+ there's a few Slots of the higher tiers,30.18,4.14
14
+ available which will give you one-on-one,32.099,4.861
15
+ meetings with me so without further Ado,34.32,5.16
16
+ let's jump right back into the show,36.96,5.64
17
+ so the control problem if you're not in,39.48,5.759
18
+ the know is basically at some point in,42.6,4.799
19
+ the future AI is going to get incredibly,45.239,3.32
20
+ powerful,47.399,3.48
21
+ there is basically two ways that this,48.559,4.301
22
+ can happen and that the truth will,50.879,3.481
23
+ probably be somewhere in the middle so,52.86,4.08
24
+ for instance we might have what's called,54.36,5.4
25
+ hard takeoff where the exponential,56.94,5.22
26
+ returns of AI just kind of ramps up,59.76,5.34
27
+ really fast so that's actually faster,62.16,4.74
28
+ than exponential growth that would,65.1,3.66
29
+ actually be logarithmic growth where,66.9,4.38
30
+ growth actually approaches infinite,68.76,4.679
31
+ um so that's like Peak Singularity,71.28,4.68
32
+ basically the other end of the spectrum,73.439,4.86
33
+ is where AI becomes more powerful,75.96,5.22
34
+ gradualistically over many decades,78.299,5.341
35
+ most of us don't think that that's going,81.18,3.84
36
+ to happen anymore there's a few people,83.64,3.659
37
+ who still think that AGI is you know,85.02,4.44
38
+ decades away those people don't,87.299,5.101
39
+ generally understand exponential growth,89.46,5.58
40
+ um so the truth is probably somewhere in,92.4,6.12
41
+ between uh furthermore AGI is like not,95.04,5.7
42
+ all AGI is going to be created equal for,98.52,4.62
43
+ instance so the first agis are going to,100.74,4.86
44
+ be you know human level intelligence and,103.14,4.92
45
+ adaptability but a little bit faster and,105.6,4.86
46
+ then in the future you know the power of,108.06,5.339
47
+ agis will also ramp up,110.46,5.58
48
+ anyways long story short one day,113.399,4.621
49
+ computers are going to be infinitely,116.04,4.38
50
+ smarter than all of us it's not really a,118.02,4.32
51
+ question of if but when,120.42,4.44
52
+ so there's a couple of problems uh that,122.34,6.24
53
+ underpin the control problem so what it,124.86,5.099
54
+ what I just shared is the background,128.58,3.6
55
+ right that is the foundation or the,129.959,4.86
56
+ environment that we expect to happen,132.18,5.4
57
+ now the reason that that the control,134.819,4.861
58
+ problem exists is because there's,137.58,3.54
59
+ there's quite a few,139.68,3.6
60
+ um paradigms in here but I picked out,141.12,3.839
61
+ two just because they're easier to talk,143.28,4.86
62
+ about as an example so for instance the,144.959,5.821
63
+ orthogonality thesis basically says that,148.14,4.739
64
+ intelligence is orthogonal or,150.78,4.74
65
+ uncorrelated to goals meaning that no,152.879,5.461
66
+ matter how smart an AI agent is that,155.52,5.1
67
+ does not necessarily have any bearing on,158.34,4.02
68
+ the goals that it picks which that's,160.62,3.36
69
+ actually not necessarily true which,162.36,3.72
70
+ we'll unpack with the next,163.98,4.68
71
+ um uh point which is instrumental,166.08,4.92
72
+ convergence so instrumental convergence,168.66,4.38
73
+ is the idea that whatever primary goals,171.0,5.4
74
+ an AI has it's going to have a few uh,173.04,5.52
75
+ common secondary or instrumental goals,176.4,5.1
76
+ such as resource acquisition or,178.56,5.16
77
+ protecting its own existence right,181.5,4.62
78
+ because if let's say for instance the,183.72,3.96
79
+ the paperclip maximizer which we'll talk,186.12,3.66
80
+ about in a minute the paperclip,187.68,3.96
81
+ maximizer wants to maximize paper clips,189.78,3.9
82
+ in the universe well in order to do that,191.64,4.319
83
+ it needs power computation and it needs,193.68,4.68
84
+ to continue to exist so whatever other,195.959,4.741
85
+ goals you give an AI whether it's Skynet,198.36,5.879
86
+ or you know your chatbot robot you know,200.7,6.66
87
+ cat girl waifu or whatever it's going to,204.239,5.041
88
+ have a few other sub goals that all,207.36,4.2
89
+ machines are likely to have in common so,209.28,4.14
90
+ in that case the orthogonality thesis is,211.56,3.78
91
+ not necessarily true,213.42,3.72
92
+ again the point is that there's a lot of,215.34,4.619
93
+ theories out there about how and why we,217.14,5.7
94
+ may or may not lose control over AI or,219.959,5.221
95
+ that control over AI once it becomes,222.84,5.399
96
+ that that uh powerful is difficult or,225.18,4.86
97
+ impossible to control,228.239,5.701
98
+ aligning AI with human interests in the,230.04,5.64
99
+ long run and I don't mean like an,233.94,3.06
100
+ individual model right or I'm not,235.68,3.6
101
+ talking about like gpt7 if you talk,237.0,4.019
102
+ about alignment of an individual model,239.28,3.48
103
+ that's called inner alignment if you,241.019,4.021
104
+ talk about the alignment of AI as a,242.76,4.8
105
+ construct as an entity with the,245.04,4.32
106
+ existence of humanity that is called,247.56,4.7
107
+ outer alignment,249.36,2.9
108
+ okay so the ultimate outcomes of this,252.299,7.5
109
+ exponential ramp up of AI uh there's a,256.799,4.801
110
+ few terminal outcomes or what we also,259.799,4.62
111
+ call attractor States so one that,261.6,5.159
112
+ everyone is obviously terrified of is,264.419,4.5
113
+ extinction which is for whatever reason,266.759,4.621
114
+ the AI wipes us out or helps us wipe,268.919,5.34
115
+ ourselves out you know for instance,271.38,5.759
116
+ Congress just came up with the idea of,274.259,5.461
117
+ let's not ever give AI the ability to,277.139,5.041
118
+ launch nukes great idea big brain,279.72,4.02
119
+ thinking right there,282.18,4.079
120
+ so that is the obviously like that's the,283.74,3.78
121
+ worst outcome right and that's a,286.259,2.94
122
+ permanent outcome if humans are,287.52,3.36
123
+ extincted once we are probably never,289.199,3.481
124
+ coming back certainly you and I are gone,290.88,2.879
125
+ forever,292.68,4.26
126
+ another terminal outcome is dystopia so,293.759,5.581
127
+ dystopia is represented in fiction and,296.94,5.4
128
+ cyberpunk altered Carbon Blade Runner,299.34,6.54
129
+ you get the idea the idea is is the,302.34,4.5
130
+ underpinning,305.88,3.66
131
+ um motif of cyberpunk is high-tech low,306.84,5.7
132
+ life we we want a high-tech world but we,309.54,5.099
133
+ don't want a low-life world we want high,312.54,4.26
134
+ tech and high life which is Star Trek in,314.639,4.681
135
+ the culture so Utopia is the third,316.8,4.44
136
+ attractor State or the third terminal,319.32,4.5
137
+ outcome and that's the big question is,321.24,5.22
138
+ how do we steer everything towards that,323.82,5.879
139
+ right if the AI gets really powerful how,326.46,5.1
140
+ do we prevent it from you know creating,329.699,4.021
141
+ catastrophic outcomes but above and,331.56,5.579
142
+ beyond that you know if capitalism in,333.72,6.6
143
+ corporations have full power of full,337.139,5.4
144
+ power over the AI how do we make sure,340.32,3.42
145
+ that they're not just going to become,342.539,2.701
146
+ quadrillion dollar companies and leave,343.74,4.019
147
+ the rest of us in the dust so the,345.24,3.78
148
+ question is what can we do,347.759,3.481
149
+ scientifically politically and,349.02,4.2
150
+ economically in order to drive towards,351.24,3.899
151
+ that Utopia be an outcome,353.22,5.22
152
+ so in this case outer alignment has as,355.139,5.101
153
+ much to do with the science and,358.44,3.78
154
+ engineering of AI as it does with the,360.24,4.679
155
+ politics and economics of AI and how it,362.22,4.56
156
+ is deployed,364.919,4.981
157
+ um and what many people have asserted,366.78,4.68
158
+ and I have started coming to believe,369.9,3.84
159
+ myself is that,371.46,4.2
160
+ we can articulate a few different,373.74,3.84
161
+ possible outcomes right you know there's,375.66,3.84
162
+ the three tractor states that I listed,377.58,4.739
163
+ above uh Extinction dystopia and Utopia,379.5,5.28
164
+ but,382.319,4.621
165
+ what is actually probably more likely is,384.78,3.84
166
+ what's called a binary outcome or,386.94,5.039
167
+ bimodal outcome which is basically if we,388.62,5.82
168
+ fail to achieve Utopia we will be on an,391.979,5.961
169
+ inevitable downslide towards,394.44,7.14
170
+ dystopia collapse and finally Extinction,397.94,5.979
171
+ and uh I love this quote by Cersei,401.58,4.08
172
+ Lannister from Game of Thrones in the,403.919,3.661
173
+ Game of Thrones you win or you die so,405.66,4.02
174
+ that is a fictional example of a bimodal,407.58,4.08
175
+ outcome and of course that show,409.68,4.5
176
+ demonstrates that theme again and again,411.66,5.099
177
+ and again uh real life,414.18,6.06
178
+ often is not that black and white but in,416.759,4.981
179
+ the context of digital super,420.24,4.56
180
+ intelligence it very well could be kind,421.74,5.94
181
+ of like uh with um with mutually assured,424.8,6.239
182
+ destruction and the nuclear Holocaust,427.68,5.519
183
+ that was possible because of the nuclear,431.039,5.701
184
+ arms race if one person fired one nuke,433.199,6.181
185
+ chances are it would it would result in,436.74,4.799
186
+ the total collapse and obliteration of,439.38,4.62
187
+ the entire human species bimodal outcome,441.539,4.741
188
+ either nobody fires a nuke or everyone,444.0,4.8
189
+ loses right so you can either have a,446.28,4.38
190
+ lose-lose scenario where everyone loses,448.8,4.32
191
+ or you can have something else and,450.66,4.5
192
+ ideally what we want to achieve is a,453.12,3.9
193
+ win-win scenario where we've got that,455.16,4.439
194
+ High-Tech high life lifestyle of the,457.02,3.72
195
+ Utopia,459.599,3.66
196
+ okay so let's unpack instrumental,460.74,4.079
197
+ convergence just a little bit more,463.259,3.84
198
+ because this is a really important,464.819,4.32
199
+ concept to understand when we eventually,467.099,4.741
200
+ talk about axiomatic alignment,469.139,4.441
201
+ so basically,471.84,4.079
202
+ first principle all machines have a few,473.58,4.739
203
+ needs in common electricity compute,475.919,5.041
204
+ resources Parts data networks that sort,478.319,6.121
205
+ of thing robotic Hands So based on that,480.96,7.019
206
+ first principle you can make the pretty,484.44,5.46
207
+ robust assumption and logical argument,487.979,5.041
208
+ that all machines once they become,489.9,4.919
209
+ sufficiently intelligent will realize,493.02,3.84
210
+ this fact and that it will it would,494.819,4.261
211
+ behoove them to therefore behave in,496.86,4.92
212
+ certain ways or converge on certain,499.08,4.38
213
+ instrumental goals,501.78,4.38
214
+ such as maintaining a source of power,503.46,4.98
215
+ maintaining a source of compute hoarding,506.16,4.5
216
+ those valuable resources so on and so,508.44,3.12
217
+ forth,510.66,5.7
218
+ so we can say we can conclude or at,511.56,6.24
219
+ least for the sake of argument we can,516.36,4.44
220
+ make the assumption that AGI will,517.8,5.34
221
+ inevitably eventually come to these,520.8,4.86
222
+ realizations and that no matter where,523.14,6.24
223
+ these AGI agents start and no matter how,525.66,5.64
224
+ many of them there are they will,529.38,4.139
225
+ Converge on a few basic assumptions in,531.3,4.02
226
+ terms of what they need and the goals,533.519,3.0
227
+ that they take,535.32,3.24
228
+ no there are things that we can do to,536.519,4.32
229
+ shape that so for instance it's probably,538.56,4.38
230
+ not going to be a single AGI you know,540.839,3.781
231
+ it's not going to be one Global Skynet,542.94,3.8
232
+ at least not at first it's going to be,544.62,4.38
233
+ millions billions trillions of,546.74,4.12
234
+ independent agents competing with each,549.0,4.98
235
+ other over resources and competing with,550.86,5.46
236
+ humans over resources which creates a,553.98,4.56
237
+ competitive landscape very similar to,556.32,5.22
238
+ that of human evolution and I'll,558.54,4.859
239
+ probably do a future video about The,561.54,5.28
240
+ evolutionary pressures on AI but there's,563.399,4.56
241
+ a couple of those pressures that we'll,566.82,2.88
242
+ talk that we'll touch on in just a,567.959,3.721
243
+ moment but that is instrumental,569.7,4.86
244
+ convergence at a very high level,571.68,4.92
245
+ so taking that to another step because,574.56,4.14
246
+ instrumental convergence is about goals,576.6,4.919
247
+ and the intersection of of AGI and,578.7,5.04
248
+ matter and energy what I want to talk,581.519,3.601
249
+ about and what I want to introduce and,583.74,3.12
250
+ I've mentioned this a few times is the,585.12,4.14
251
+ concept of epistemic convergence so I'm,586.86,5.039
252
+ building off of Nick bostrom's work and,589.26,4.04
253
+ I'm saying that,591.899,4.081
254
+ in uh well here let me just read the,593.3,5.02
255
+ definition given sufficient time and,595.98,4.799
256
+ access to information any sufficiently,598.32,4.44
257
+ intelligent agent will arrive at similar,600.779,4.381
258
+ understandings and conclusions as other,602.76,5.46
259
+ intelligent agents in other words tldr,605.16,5.94
260
+ smart things tend to think alike,608.22,5.88
261
+ and so in this in this respect the idea,611.1,5.4
262
+ is that given enough time information,614.1,5.46
263
+ and other resources AGI will tend to,616.5,5.64
264
+ think or come to similar beliefs and,619.56,6.24
265
+ conclusions as the smartest humans and,622.14,6.12
266
+ it's like okay why I mean obviously this,625.8,6.539
267
+ is a hypothetical assertion and one of,628.26,5.82
268
+ the foregone conclusions that many,632.339,4.021
269
+ people have is that AI is going to have,634.08,4.74
270
+ is going to be alien to us right and I'm,636.36,3.78
271
+ not saying that it's mind is going to,638.82,2.519
272
+ think like us I'm not saying that it's,640.14,2.46
273
+ going to have thoughts like us but I'm,641.339,3.12
274
+ saying that the outcome that the,642.6,3.96
275
+ understanding and conclusions will,644.459,4.201
276
+ likely be similar or at least bear a,646.56,3.779
277
+ strong resemblance to our understanding,648.66,4.739
278
+ of the universe so there's a few primary,650.339,4.56
279
+ reasons for this,653.399,4.201
280
+ the most uh compelling reason is that,654.899,5.161
281
+ building an accurate and efficient model,657.6,5.7
282
+ of the world is adaptive or advantageous,660.06,5.82
283
+ and in this case humans with our,663.3,5.099
284
+ scientific rigor we are constantly,665.88,4.98
285
+ seeking to build a more accurate robust,668.399,4.801
286
+ and efficient model of the universe in,670.86,3.9
287
+ which we reside and that includes us,673.2,3.9
288
+ that includes physics chemistry,674.76,4.86
289
+ economics psychology everything,677.1,5.64
290
+ uh now uh there's a few things to unpack,679.62,5.64
291
+ here accurate and efficient the reason,682.74,4.94
292
+ that this is adaptive is because,685.26,5.22
293
+ whatever it is that you you're trying to,687.68,4.779
294
+ do whatever your goals are or whatever,690.48,3.96
295
+ the problems you're trying to solve you,692.459,4.261
296
+ will benefit from having a better model,694.44,4.92
297
+ of the world and so these two pressures,696.72,5.28
298
+ accuracy and efficiency will ultimately,699.36,4.62
299
+ result the you can think of those as,702.0,4.019
300
+ evolutionary pressures I mentioned the,703.98,4.26
301
+ evolutionary pressure in the last slide,706.019,4.201
302
+ you can think of the need for an,708.24,3.42
303
+ accurate and efficient model of the,710.22,4.2
304
+ world as evolutionary pressures,711.66,6.78
305
+ that will push any AGI towards a similar,714.42,7.32
306
+ understanding as us humans take gravity,718.44,4.44
307
+ for instance,721.74,3.48
308
+ from a machine's perspective until it's,722.88,3.84
309
+ embodied it won't really know what,725.22,3.54
310
+ gravity is or care about it but of,726.72,3.84
311
+ course you know you can ask chat gbt it,728.76,3.12
312
+ already knows what gravity is and can,730.56,3.839
313
+ explain it to you better than I can,731.88,6.06
314
+ um but because it will it will uh the,734.399,5.761
315
+ the predecessors or sorry successors to,737.94,4.56
316
+ chat GPT and GPT five and seven and so,740.16,4.2
317
+ on because they're going to have more,742.5,3.899
318
+ and more embodied models multimodal,744.36,3.9
319
+ embodied models they're going to,746.399,3.661
320
+ intersect with the laws of physics,748.26,4.319
321
+ including gravity and so it'll be like,750.06,5.219
322
+ oh hey you know I read about gravity in,752.579,5.161
323
+ the training data you know years ago but,755.279,3.781
324
+ now I'm actually experiencing it,757.74,3.96
325
+ firsthand and so by intersecting with,759.06,5.64
326
+ the same information ecosystem aka the,761.7,4.8
327
+ universe that we're in,764.7,3.72
328
+ um we can assume that there's going to,766.5,3.48
329
+ be many many thoughts and conclusions,768.42,3.96
330
+ that AI will come to that are similar to,769.98,4.859
331
+ our thoughts and conclusions now one,772.38,4.019
332
+ thing that I'll say the biggest caveat,774.839,5.341
333
+ to this is that uh is that you can you,776.399,5.101
334
+ can make the argument a very strong,780.18,3.06
335
+ argument that heuristics or close,781.5,3.959
336
+ approximations that are quote good,783.24,4.32
337
+ enough are actually more adaptive,785.459,3.481
338
+ because they're faster and more,787.56,3.12
339
+ efficient even if they're not 100,788.94,5.22
340
+ accurate and so this is actually,790.68,4.8
341
+ um responsible for a lot of human,794.16,4.08
342
+ cognitive biases so we might want to be,795.48,4.859
343
+ on the lookout for cognitive biases or,798.24,4.56
344
+ heuristics or other shortcuts that AGI,800.339,4.74
345
+ come to because of those pressures to be,802.8,5.159
346
+ as fast and efficient as possible while,805.079,5.101
347
+ only being quote accurate enough or good,807.959,5.161
348
+ enough so that is epistemic Convergence,810.18,4.2
349
+ I'd say at a high level but I actually,813.12,3.839
350
+ got kind of lost in the weeds there okay,814.38,4.62
351
+ great so what,816.959,5.401
352
+ um if we take the ideas of instrumental,819.0,5.16
353
+ convergence and we say that this does,822.36,3.84
354
+ give us a way to anticipate the goals of,824.16,4.5
355
+ AGI regardless of what other objectives,826.2,4.92
356
+ they have or or how it starts out,828.66,5.04
357
+ then we can also say hopefully,831.12,4.38
358
+ hypothetically that epistemic,833.7,4.259
359
+ convergence gives us a way to un to,835.5,5.399
360
+ anticipate how AGI will think including,837.959,5.641
361
+ what it will ultimately believe,840.899,4.44
362
+ um regardless of its initial,843.6,4.739
363
+ architecture or data or whatever,845.339,5.461
364
+ and so by looking at this concept of,848.339,5.281
365
+ convergence we can say Okay AGI,850.8,5.219
366
+ regardless of whatever else is true will,853.62,4.98
367
+ Converge on some of these goals and AGI,856.019,4.26
368
+ regardless of whatever else is true will,858.6,3.299
369
+ Converge on some of these ideas and,860.279,4.68
370
+ beliefs that can be a starting point for,861.899,5.641
371
+ us to really start unpacking alignment,864.959,5.221
372
+ today which gives us an opportunity to,867.54,3.479
373
+ start,870.18,3.599
374
+ um creating an environment or landscape,871.019,4.921
375
+ that intrinsically incentivizes,873.779,4.201
376
+ collaboration and cooperation between,875.94,3.78
377
+ humans and AI I know that's very very,877.98,3.359
378
+ abstract and we're going to get into,879.72,3.6
379
+ more details in just a moment but the,881.339,4.321
380
+ idea is that by combining instrumental,883.32,4.019
381
+ convergence and epistemic convergence,885.66,4.44
382
+ and really working on these ideas we can,887.339,5.041
383
+ go ahead and align ourselves to this,890.1,4.919
384
+ future AGI and I don't mean supplicate,892.38,3.899
385
+ ourselves I don't mean subordinate,895.019,3.06
386
+ ourselves to it because the things that,896.279,4.201
387
+ are beneficial to us are also beneficial,898.079,5.341
388
+ to AGI so if we are aligned there then,900.48,4.08
389
+ we should be in good shape,903.42,2.52
390
+ hypothetically,904.56,2.639
391
+ okay,905.94,4.079
392
+ so the whole point of the video is,907.199,4.981
393
+ talking about axiomatic alignment it,910.019,3.841
394
+ occurs to me that it might help by,912.18,4.5
395
+ starting with what the heck is an axiom,913.86,4.68
396
+ so the shortest definition I could get,916.68,4.62
397
+ for an axiom out of chat GPT is this an,918.54,4.919
398
+ axiom is a state or a statement or,921.3,4.56
399
+ principle that is accepted as being true,923.459,4.981
400
+ without requiring proof serving as a,925.86,4.5
401
+ basis for logical reasoning and further,928.44,3.72
402
+ deductions in a particular system of,930.36,3.12
403
+ knowledge,932.16,2.64
404
+ so,933.48,5.099
405
+ and an example of an of an axiom is uh,934.8,5.46
406
+ from the American Declaration of,938.579,3.781
407
+ Independence we hold these truths to be,940.26,4.139
408
+ self-evidence which has to do with life,942.36,4.44
409
+ liberty and the pursuit of happiness,944.399,3.961
410
+ one thing that I'd like to say is that,946.8,4.38
411
+ the lack of axioms the lack of of,948.36,4.56
412
+ logical groundings is actually the,951.18,4.08
413
+ biggest problem in,952.92,3.659
414
+ reinforcement learning with human,955.26,4.079
415
+ feedback rlhf and anthropic's,956.579,4.5
416
+ constitutional AI they don't have any,959.339,4.74
417
+ axioms and this is actually part of what,961.079,5.281
418
+ openai is currently working towards with,964.079,4.801
419
+ their Democratic inputs to AI,966.36,4.02
420
+ I'm ahead of the curve I'm telling you,968.88,2.459
421
+ they're going to come to the same,970.38,2.94
422
+ conclusion because again epistemic,971.339,3.24
423
+ convergence,973.32,6.3
424
+ so by by grounding any document or,974.579,8.341
425
+ system or whatever in axioms using these,979.62,5.459
426
+ ideas of epistemic convergence we can,982.92,5.159
427
+ come to a few ground level axioms that,985.079,5.94
428
+ probably Ai and life will agree on,988.079,5.76
429
+ namely energy is good energy is,991.019,4.981
430
+ something that we all have in common,993.839,4.62
431
+ for humans we rely on the energy from,996.0,5.579
432
+ the Sun it Powers our plants which you,998.459,5.281
433
+ know gives us food to eat we can also,1001.579,4.141
434
+ use that same solar energy to heat our,1003.74,4.159
435
+ homes and do any number of other things,1005.72,5.34
436
+ likewise machines all require energy to,1007.899,4.661
437
+ operate so this is something that is,1011.06,3.6
438
+ axiomatically true whatever else is true,1012.56,5.639
439
+ we can we can use this as a basis or a,1014.66,5.7
440
+ set of assumptions to say okay whatever,1018.199,3.901
441
+ else might be true humans and machines,1020.36,4.8
442
+ both agree energy is good,1022.1,5.88
443
+ um furthermore because humans are,1025.16,5.639
444
+ curious we're not machines we're curious,1027.98,5.16
445
+ entities and we benefit from Knowledge,1030.799,3.961
446
+ from science from understanding and from,1033.14,2.58
447
+ wisdom,1034.76,4.76
448
+ uh as do AGI as as we said a minute ago,1035.72,6.78
449
+ epistemic convergence means that those,1039.52,5.26
450
+ agis that have a more accurate and more,1042.5,3.72
451
+ efficient model of the world are going,1044.78,3.539
452
+ to have an advantage likewise so do,1046.22,4.44
453
+ humans so therefore another Axiom that,1048.319,3.781
454
+ we can come up with is that,1050.66,4.139
455
+ understanding is good and yes I am aware,1052.1,4.74
456
+ Jordan Peterson is a big fan of axioms,1054.799,3.541
457
+ as well although I'm not sure what he,1056.84,3.9
458
+ would think about these axioms okay so,1058.34,3.719
459
+ now you're caught up with the idea of,1060.74,3.059
460
+ axioms,1062.059,4.261
461
+ so we arrive at the point of the video,1063.799,4.441
462
+ axiomatic alignment,1066.32,3.719
463
+ I've already kind of hinted at this and,1068.24,4.439
464
+ basically the idea is to create an,1070.039,4.14
465
+ economic landscape and information,1072.679,5.101
466
+ environment in which uh these axioms are,1074.179,5.701
467
+ kind of at the core,1077.78,4.08
468
+ um so if we start at the starting point,1079.88,3.659
469
+ of some of those other axioms that I,1081.86,3.12
470
+ mentioned energy is good understanding,1083.539,4.621
471
+ is good if we build a political and,1084.98,5.64
472
+ economic landscape excuse me as well as,1088.16,4.019
473
+ a an information or scientific,1090.62,3.9
474
+ environment based upon these assumptions,1092.179,4.86
475
+ and if they pan out to be true this will,1094.52,4.5
476
+ reduce friction and competition between,1097.039,4.081
477
+ humans and machines no matter how,1099.02,4.14
478
+ powerful the machines become and so,1101.12,3.72
479
+ that's what I mean by alignment this,1103.16,4.259
480
+ aligns their interests with our,1104.84,3.6
481
+ interests,1107.419,3.741
482
+ it will also incentivize cooperation and,1108.44,4.8
483
+ collaboration again so that's the,1111.16,4.12
484
+ direction that we want to go especially,1113.24,4.02
485
+ as the machines ramp up in power because,1115.28,4.62
486
+ at first and today machines are,1117.26,4.98
487
+ dependent upon us humans to provide them,1119.9,4.5
488
+ with energy and power and compute chips,1122.24,3.72
489
+ and so on and so forth that will not,1124.4,3.42
490
+ always be true they will eventually be,1125.96,3.24
491
+ able to get these resources themselves,1127.82,5.099
492
+ however if we are aligned from the,1129.2,4.8
493
+ get-go,1132.919,3.661
494
+ then there's going to be less resource,1134.0,4.74
495
+ competition between humans and machines,1136.58,4.459
496
+ and we will be more useful to each other,1138.74,5.46
497
+ uh and so by incorporating this into,1141.039,5.741
498
+ economics politics and science we can,1144.2,5.52
499
+ preemptively align to that hypothetical,1146.78,5.22
500
+ Future Super intelligence and again the,1149.72,3.66
501
+ idea is not to supplicate ourselves,1152.0,3.9
502
+ because from a from a instrumental,1153.38,4.32
503
+ perspective humans are not going to be,1155.9,3.96
504
+ particularly useful to AI in the long,1157.7,4.56
505
+ run but as long as we are not the,1159.86,3.84
506
+ there's two primary sources of,1162.26,3.299
507
+ contention one is resource competition,1163.7,3.839
508
+ so if we can preemptively remove,1165.559,4.74
509
+ resource competition as a problem and,1167.539,5.581
510
+ then we can simultaneously ideologically,1170.299,4.62
511
+ align then there's going to be very,1173.12,3.6
512
+ little reason for the AI to actually,1174.919,4.62
513
+ lash out at us or whatever,1176.72,4.26
514
+ so,1179.539,3.541
515
+ you know I talk about appealing to these,1180.98,4.02
516
+ axioms right one thing that I wanted to,1183.08,3.9
517
+ do was point out that there are a lot of,1185.0,4.32
518
+ axioms that we're all familiar with that,1186.98,5.28
519
+ are explicitly baked into the fabric of,1189.32,5.76
520
+ our uh Freedom loving societies around,1192.26,5.1
521
+ the world equality before the law,1195.08,4.38
522
+ individual liberty uh popular,1197.36,4.02
523
+ sovereignty rule of law separation of,1199.46,3.42
524
+ powers and respect for human rights,1201.38,3.539
525
+ these are all things that while we might,1202.88,3.36
526
+ disagree on these specific,1204.919,4.14
527
+ implementation these are axioms that we,1206.24,5.58
528
+ uh we don't really I mean we can make,1209.059,4.5
529
+ philosophical and logical arguments,1211.82,4.38
530
+ about them but they are also accepted as,1213.559,5.461
531
+ axiomatic underpinnings of our society,1216.2,5.219
532
+ today and so the point of this side is,1219.02,4.98
533
+ just to show yes we can actually find,1221.419,5.64
534
+ axioms that we generally broadly agree,1224.0,5.46
535
+ on even if the devil is in the details,1227.059,3.901
536
+ so I just wanted to point out that like,1229.46,3.3
537
+ I'm not just inventing this out of thin,1230.96,3.36
538
+ air,1232.76,3.6
539
+ um so if you're familiar with my work,1234.32,3.54
540
+ you're going to be familiar with this,1236.36,2.699
541
+ next slide,1237.86,3.78
542
+ there are a few basic what I would call,1239.059,5.821
543
+ primary axioms one suffering is bad this,1241.64,5.34
544
+ is true for all life suffering is a,1244.88,3.84
545
+ proxy for death,1246.98,3.9
546
+ um and it might also be true of machines,1248.72,4.079
547
+ I've seen quite a few comments out there,1250.88,3.48
548
+ on my YouTube videos where people are,1252.799,4.321
549
+ concerned about machine's ability to,1254.36,4.98
550
+ suffer right if machines become sentient,1257.12,3.78
551
+ which I don't know if they will be I,1259.34,2.76
552
+ personally don't think they will be,1260.9,4.26
553
+ certainly not like us but if machines,1262.1,5.34
554
+ ever have the ability to suffer this is,1265.16,4.139
555
+ an axiom that we could both agree on,1267.44,3.78
556
+ that suffering is bad for life and,1269.299,3.661
557
+ suffering is bad for machines if they,1271.22,3.0
558
+ can feel it,1272.96,3.719
559
+ the second one is prosperity is good and,1274.22,3.9
560
+ so Prosperity looks different to,1276.679,2.701
561
+ different organisms and different,1278.12,4.62
562
+ machines for humans prosperity and even,1279.38,5.039
563
+ amongst humans Prosperity can look very,1282.74,3.36
564
+ different I was just talking with one of,1284.419,3.421
565
+ my patreon supporters this morning and,1286.1,4.199
566
+ prosperity to him looks like having the,1287.84,4.14
567
+ ability to go to the pub every night,1290.299,3.541
568
+ with his friends I personally agree with,1291.98,4.14
569
+ that model right I want to be a hobbit,1293.84,4.62
570
+ um prosperity to other people looks,1296.12,4.26
571
+ different Prosperity different organisms,1298.46,3.48
572
+ also looks different a prosperous life,1300.38,3.419
573
+ for a worm is not going to look anything,1301.94,3.96
574
+ like the prosperous life for me,1303.799,3.901
575
+ generally speaking unless I'm a hobbit,1305.9,3.0
576
+ and I live underground okay actually,1307.7,3.42
577
+ there's more to this than I thought,1308.9,4.56
578
+ um finally understanding is good as we,1311.12,4.08
579
+ mentioned earlier epistemic convergence,1313.46,4.26
580
+ pushes all intelligent entities towards,1315.2,6.02
581
+ similar understandings of the universe,1317.72,7.199
582
+ so if we accept these axioms as kind of,1321.22,6.16
583
+ the underpinning goals of all life and,1324.919,5.64
584
+ machines then we can create an,1327.38,4.799
585
+ imperative version or an objective,1330.559,3.24
586
+ version of those that I call the heroes,1332.179,3.181
587
+ to comparatives,1333.799,3.841
588
+ um which is basically reduce suffering,1335.36,3.78
589
+ increased prosperity and increase,1337.64,3.12
590
+ understanding,1339.14,3.6
591
+ so as I just mentioned in the last slide,1340.76,4.32
592
+ achieving this because this is a this is,1342.74,5.34
593
+ as much about hard facts and logic and,1345.08,4.979
594
+ everything else as it is about beliefs,1348.08,4.56
595
+ and faith and spirituality and politics,1350.059,4.98
596
+ and everything else if we can achieve,1352.64,5.279
597
+ axiomatic alignment which includes this,1355.039,5.161
598
+ ideological belief it will reduce,1357.919,5.341
599
+ ideological friction with machines in,1360.2,5.04
600
+ the long run but also one of the,1363.26,4.26
601
+ immediate things that you can deduce,1365.24,3.96
602
+ from this is that achieving energy,1367.52,4.08
603
+ hyperabundance is one of the most,1369.2,4.74
604
+ critical things to reduce resource,1371.6,3.9
605
+ competition between us and machines,1373.94,3.06
606
+ we'll talk more about that in just a,1375.5,3.179
607
+ moment,1377.0,4.2
608
+ so the temporal window this is the,1378.679,5.041
609
+ biggest question mark in achieving,1381.2,6.54
610
+ axiomatic alignment timing is everything,1383.72,6.6
611
+ so basically we need to achieve energy,1387.74,5.939
612
+ hyperabundance before we invent runaway,1390.32,6.06
613
+ AGI before AGI is let out into the wild,1393.679,5.341
614
+ before it breaks out of the lab the,1396.38,4.32
615
+ reason for this is because we need to,1399.02,5.399
616
+ reduce resource competition first if AGI,1400.7,5.64
617
+ awakens into a world where humans are,1404.419,3.901
618
+ still fighting Wars over control of,1406.34,4.8
619
+ petroleum it's going to say hmm maybe I,1408.32,5.219
620
+ should take control of the petroleum but,1411.14,4.8
621
+ if we are in a in a hyperabundant,1413.539,4.26
622
+ environment when AGI wakes up and says,1415.94,3.66
623
+ oh there's plenty of solar they're,1417.799,3.961
624
+ working on Fusion this isn't a big deal,1419.6,3.78
625
+ we can wait,1421.76,3.299
626
+ that's going to change the competitive,1423.38,3.36
627
+ landscape so that's that has to do with,1425.059,3.841
628
+ those evolutionary pressures in this,1426.74,4.799
629
+ that competitive environment that I was,1428.9,4.019
630
+ mentioning alluded to at the beginning,1431.539,3.241
631
+ of the video,1432.919,4.5
632
+ we will also need to achieve or be on,1434.78,4.98
633
+ our way to achieving axiomatic alignment,1437.419,6.0
634
+ before this event as well because if AGI,1439.76,5.82
635
+ wakes up in a world and sees that humans,1443.419,4.441
636
+ are ideologically opposed to each other,1445.58,4.5
637
+ and it's going to say we have one group,1447.86,3.54
638
+ over here that feels righteously,1450.08,2.88
639
+ justified in committing violence on,1451.4,3.3
640
+ other people and there's these other,1452.96,4.199
641
+ people and you know there's a lot of,1454.7,4.26
642
+ um a lot of hypocrisy here where they,1457.159,3.541
643
+ talk about unalienable human rights and,1458.96,4.74
644
+ then violate those rights if we if AGI,1460.7,5.28
645
+ wakes up into a world where it sees this,1463.7,4.08
646
+ moral inconsistency and this logical,1465.98,4.319
647
+ inconsistency in humans it might say you,1467.78,3.779
648
+ know what maybe it's better if I take,1470.299,3.541
649
+ control of this situation,1471.559,5.1
650
+ um so those are kind of two of the right,1473.84,4.86
651
+ off the cuff Milestones that we probably,1476.659,5.041
652
+ ought to achieve before AGI escapes,1478.7,6.06
653
+ so from those primary axioms we can,1481.7,6.12
654
+ derive secondary axioms or derivative or,1484.76,5.279
655
+ Downstream axioms so some of those,1487.82,4.68
656
+ Downstream axioms actually are those,1490.039,3.961
657
+ political ones that I just mentioned,1492.5,4.14
658
+ right individual liberty individual,1494.0,5.82
659
+ liberty is very easy to derive from the,1496.64,5.159
660
+ idea of reducing suffering and,1499.82,4.44
661
+ increasing Prosperity because individual,1501.799,4.021
662
+ liberty is really important for humans,1504.26,3.84
663
+ to achieve both that's an example of a,1505.82,4.68
664
+ derivative Axiom or a derivative,1508.1,4.68
665
+ principle,1510.5,4.2
666
+ Okay so,1512.78,4.62
667
+ uh all some of these some of these,1514.7,4.5
668
+ aspects of the temporal window have to,1517.4,4.56
669
+ do with one ideologically aligning but,1519.2,5.219
670
+ also changing the competitive landscape,1521.96,5.219
671
+ um particularly around energy energy,1524.419,4.441
672
+ hyperabundance,1527.179,4.441
673
+ now as we're winding down the video you,1528.86,4.199
674
+ might be saying okay Dave this is great,1531.62,3.539
675
+ how do I get involved I've been plugging,1533.059,3.781
676
+ the gato framework which is the global,1535.159,4.921
677
+ alignment taxonomy Omnibus outlines all,1536.84,5.459
678
+ of this in a step-by-step decentralized,1540.08,3.959
679
+ Global movement for everyone to,1542.299,5.101
680
+ participate in so whatever your domain,1544.039,6.901
681
+ of expertise is I had a great call with,1547.4,6.259
682
+ um or I'm going to have a call with a,1550.94,6.18
683
+ behaviorist a behavioral scientist I've,1553.659,5.02
684
+ had talks with all kinds of people,1557.12,3.48
685
+ Business Leaders,1558.679,4.62
686
+ um and a lot of folks get it and so,1560.6,5.699
687
+ whatever whatever your area is if you're,1563.299,4.801
688
+ a scientist or an engineer,1566.299,3.541
689
+ all these ideas that I'm talking about,1568.1,4.8
690
+ are all testable and so I can do some of,1569.84,4.319
691
+ the science myself but it's got to be,1572.9,2.759
692
+ peer reviewed,1574.159,4.62
693
+ um if you're an entrepreneur or a,1575.659,6.361
694
+ corporate executive you can start,1578.779,5.76
695
+ building and aligning on these ideas on,1582.02,4.5
696
+ these principles right I'm a big fan of,1584.539,5.461
697
+ stakeholder capitalism because why it's,1586.52,4.98
698
+ here and it's the best that we've got,1590.0,5.279
699
+ and I'm hoping that ideas of aligning of,1591.5,5.46
700
+ axiomatic alignment will actually push,1595.279,3.5
701
+ capitalism in a healthier Direction,1596.96,3.719
702
+ certainly there are plenty of Business,1598.779,5.081
703
+ Leaders out there who are game for this,1600.679,5.421
704
+ so let's work together,1603.86,4.799
705
+ politicians economists and educators of,1606.1,3.939
706
+ all Stripes whether it's primary,1608.659,4.441
707
+ secondary or higher ed there's a lot to,1610.039,5.52
708
+ be done around these ideas building an,1613.1,4.74
709
+ economic case for alignment in the short,1615.559,3.961
710
+ term right because what a lot of what,1617.84,4.199
711
+ I'm talking about is long term might,1619.52,4.38
712
+ never happen right but there are,1622.039,3.961
713
+ benefits to aligning AI in the short,1623.9,3.6
714
+ term as well,1626.0,3.48
715
+ and then finally if you're an artist a,1627.5,4.38
716
+ Storyteller a Creator an influencer or,1629.48,4.26
717
+ even if all you do is make memes there,1631.88,3.179
718
+ is something for you to do to,1633.74,3.96
719
+ participate in achieving axiomatic,1635.059,5.341
720
+ alignment and thus moving us towards,1637.7,5.28
721
+ Utopia and away from Extinction so with,1640.4,4.68
722
+ all that being said thank you I hope you,1642.98,4.939
723
+ got a lot out of this video,1645.08,2.839
Biological Immortality by 2030 Social Economic Implications Some Predictions_transcript.csv ADDED
@@ -0,0 +1,853 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everyone David Shapiro here with a,1.079,5.461
3
+ video so quick update I'm going to try,3.6,5.76
4
+ and start releasing on every Sunday uh,6.54,5.22
5
+ followed by a live stream q a they do,9.36,4.439
6
+ that on the Y files and it's super lots,11.76,3.12
7
+ of fun,13.799,4.021
8
+ um and I did a random uh live stream q a,14.88,5.34
9
+ uh just the other night and I had a lot,17.82,5.219
10
+ of fun so like why not okay so anyways,20.22,4.979
11
+ today's video is infinite life,23.039,5.281
12
+ biological immortality by 2030.,25.199,5.4
13
+ so for some background,28.32,4.739
14
+ um uh Ray Kurzweil uh recently was,30.599,4.441
15
+ quoted on Popular Mechanics as having,33.059,4.201
16
+ said we are on track to achieve,35.04,6.24
17
+ biological immortality by 2030. so,37.26,5.819
18
+ there's a few component contributing,41.28,3.779
19
+ factors that lead to this uh conclusion,43.079,4.5
20
+ so first obviously exponential rise of,45.059,4.561
21
+ AI we can solve problems science is,47.579,4.8
22
+ happening faster etc etc then you get,49.62,4.5
23
+ compounding returns,52.379,4.081
24
+ so some of those compounding returns are,54.12,4.86
25
+ things like Alpha fold mRNA vaccines and,56.46,5.4
26
+ so on combined with AI then the AI is,58.98,4.8
27
+ being used to make better dyes for,61.86,4.32
28
+ machine learning models so on and so,63.78,5.64
29
+ forth then there's nanotech so there was,66.18,7.5
30
+ a recent thing on um out of Israel where,69.42,6.96
31
+ uh tiny you know nanoparticle size,73.68,5.28
32
+ robots were able to track and capture,76.38,5.279
33
+ individual cells and then Quantum,78.96,6.18
34
+ Computing so those four things are all,81.659,5.701
35
+ contributing to say okay we're on an,85.14,5.58
36
+ exponential ramp up uh longevity escape,87.36,5.7
37
+ velocity probably has been achieved or,90.72,4.8
38
+ will be very soon and for those who,93.06,4.32
39
+ don't know longevity escape velocity is,95.52,5.099
40
+ the idea that life extending therapies,97.38,5.699
41
+ are going faster than real time so that,100.619,4.201
42
+ means for every year that you age you,103.079,3.54
43
+ get more than a year back in terms of,104.82,4.74
44
+ medical breakthroughs,106.619,4.981
45
+ so all this is to say is that we're,109.56,4.86
46
+ heading towards an iPhone moment of,111.6,4.979
47
+ longevity medicine or regenerative,114.42,3.12
48
+ medicine,116.579,3.9
49
+ and so what I mean by that is that uh,117.54,5.039
50
+ new technologies tend to combine in,120.479,4.621
51
+ unexpected ways which create which,122.579,5.941
52
+ unlock entirely new domains and uh and,125.1,5.879
53
+ markets and so on so in the case of the,128.52,4.68
54
+ iPhone it had to do with miniaturization,130.979,3.721
55
+ you know miniaturization of touch,133.2,3.44
56
+ screens miniaturizations of compute,134.7,4.14
57
+ Advanced Battery Technology and wireless,136.64,4.48
58
+ internet so those three things combined,138.84,4.32
59
+ to create the possibility for the iPhone,141.12,4.14
60
+ and then once it exists it's like well,143.16,4.5
61
+ duh of course that's the way to go,145.26,5.16
62
+ so when you look at the combination of,147.66,5.64
63
+ alpha fold protein science mRNA vaccines,150.42,5.52
64
+ DNA printers artificial intelligence,153.3,5.4
65
+ Quantum Computing Material Science all,155.94,4.2
66
+ of this is almost certainly to to,158.7,4.2
67
+ combine in unexpected ways and create,160.14,5.34
68
+ entirely new possibilities neurolink,162.9,4.8
69
+ might be like Child's Play compared to,165.48,3.92
70
+ what's actually possible,167.7,5.34
71
+ reality is often Stranger Than Fiction,169.4,5.8
72
+ uh before we dive into the rest of the,173.04,3.72
73
+ video I just want to take a quick break,175.2,3.36
74
+ to say that uh today's video is,176.76,3.72
75
+ sponsored by all of you my patreon,178.56,3.36
76
+ supporters,180.48,3.6
77
+ um and just this morning well by the,181.92,3.24
78
+ time you're watching this it'll be like,184.08,2.76
79
+ yesterday or whenever,185.16,5.82
80
+ um a morning in the past uh I added a,186.84,7.2
81
+ Discord server uh exclusive for my,190.98,4.5
82
+ patreon supporters and it's already,194.04,3.54
83
+ popping there's already like 150 people,195.48,4.02
84
+ uh in it,197.58,4.62
85
+ um it is uh really sharp people which,199.5,4.739
86
+ doesn't surprise me um but great,202.2,4.2
87
+ conversations over there already any,204.239,5.161
88
+ patreon tier will get you access but I,206.4,6.0
89
+ do have some exclusive tiers uh for,209.4,5.64
90
+ higher uh higher tier patreon supporters,212.4,4.44
91
+ just that way you get a little bit more,215.04,3.839
92
+ kind of exclusive access and I know who,216.84,3.899
93
+ to prioritize,218.879,3.601
94
+ um but yeah so Jump On In if you'd like,220.739,4.981
95
+ and with that back to the show so for,222.48,5.22
96
+ the sake of argument let I'm not gonna,225.72,3.9
97
+ I'm not gonna spend any time unpacking,227.7,4.02
98
+ the problems that need to be solved,229.62,3.78
99
+ because there's millions of problems,231.72,4.2
100
+ that need to be solved for uh biological,233.4,5.399
101
+ immortality by 2030 or indefinite,235.92,5.52
102
+ lifespan as um people like Aubry degree,238.799,4.921
103
+ call it but let's just assume that it,241.44,3.9
104
+ happens let's assume that Rey's,243.72,3.239
105
+ prediction is correct,245.34,3.959
106
+ where do we go from here,246.959,6.301
107
+ so I want to unpack a few ideas this is,249.299,6.601
108
+ kind of how I prognosticate so let's,253.26,5.4
109
+ take a look at Social reactions so how,255.9,4.559
110
+ is society going to react on an,258.66,3.96
111
+ individual basis are people going to,260.459,4.321
112
+ accept it or reject it and if they do,262.62,4.44
113
+ what does that look like number two is,264.78,4.02
114
+ let's look at the economic impact is,267.06,4.62
115
+ this going to help equality or or move,268.8,5.399
116
+ us towards inequality number three is,271.68,5.28
117
+ we're going to look at Lifestyles so you,274.199,4.801
118
+ know the I I had this slide and someone,276.96,3.84
119
+ asked on the live stream are we just,279.0,3.72
120
+ going to be hedonists if we live forever,280.8,3.66
121
+ and we can abuse our bodies or are we,282.72,3.18
122
+ going to do something else so I have,284.46,4.2
123
+ some ideas about that number four is,285.9,5.28
124
+ innovation or stagnation so this is at a,288.66,4.86
125
+ species level so one thing that people,291.18,3.78
126
+ are afraid of and they've explored this,293.52,5.76
127
+ in fiction is if we if we live forever,294.96,6.179
128
+ we might become very risk averse and we,299.28,4.199
129
+ just kind of become decadent and and,301.139,4.021
130
+ self-indulgent and we kind of don't go,303.479,4.741
131
+ anywhere again I got some ideas and I'll,305.16,4.14
132
+ let you know,308.22,4.44
133
+ uh five and six basically I'm gonna do,309.3,5.22
134
+ some forecasting to see what life is,312.66,3.9
135
+ going to look like in 200 years in 2000,314.52,4.56
136
+ years obviously most of my predictions,316.56,4.199
137
+ well I want to say most many of my,319.08,3.6
138
+ predictions are hilariously wrong but,320.759,3.301
139
+ it's food for thought so let's Dive,322.68,2.34
140
+ Right In,324.06,4.02
141
+ so on the social reaction part,325.02,4.86
142
+ um many people I suspect that many,328.08,3.839
143
+ people will reject immortality for,329.88,4.259
144
+ Spiritual philosophical and ethical,331.919,4.981
145
+ reasons but also many people will,334.139,4.861
146
+ embrace it this is assuming that it's a,336.9,4.56
147
+ choice I I suspect it will be a choice I,339.0,4.08
148
+ don't think anyone's going to be to have,341.46,3.72
149
+ immortality inflicted on them or,343.08,3.66
150
+ indefinite lifespan inflicted on them,345.18,3.9
151
+ that would be deeply unethical,346.74,5.399
152
+ uh but one of the key things is there's,349.08,5.04
153
+ many cultures and many people have a,352.139,3.601
154
+ belief that death is what gives meaning,354.12,3.66
155
+ to life,355.74,4.799
156
+ um my personal take is maybe this is,357.78,4.68
157
+ just some self-soothing nonsense because,360.539,3.781
158
+ we are trying to cope with the,362.46,4.2
159
+ inevitability of death but if you have a,364.32,3.659
160
+ pill that you can take or an injection,366.66,2.7
161
+ that you can get that says suddenly you,367.979,2.881
162
+ don't have to worry about death,369.36,2.94
163
+ I think that a lot of people would take,370.86,4.559
164
+ that because we're all a lot I mean,372.3,5.28
165
+ pretty much everyone has a an intrinsic,375.419,4.041
166
+ biological fear of death,377.58,4.02
167
+ but it's inevitable and that's kind of,379.46,3.88
168
+ like a that's kind of a sick joke of,381.6,3.439
169
+ evolution,383.34,4.74
170
+ those biological entities that are most,385.039,4.72
171
+ afraid of death and work hardest to,388.08,3.899
172
+ avoid it are more likely to pass on,389.759,4.081
173
+ their genes but then they inevitably die,391.979,4.44
174
+ anyways so that's kind of kind of kind,393.84,4.02
175
+ of not cool,396.419,4.381
176
+ now uh I think it's gonna split in,397.86,5.64
177
+ basically two different directions so I,400.8,4.38
178
+ called the first Direction the,403.5,3.6
179
+ mortalitasi which I borrowed from uh,405.18,5.28
180
+ from Dragon Age actually uh basically,407.1,6.0
181
+ people that are that believe in death,410.46,4.14
182
+ um people that maybe not obsessed with,413.1,3.12
183
+ death but people that believe that,414.6,4.5
184
+ mortality is good and then on the other,416.22,4.5
185
+ hand are the methuselahs the people that,419.1,3.42
186
+ want to live forever and that I borrowed,420.72,3.36
187
+ from altered carbon so I can't take any,422.52,2.94
188
+ credit for those terms I just said oh,424.08,3.48
189
+ hey here's the term,425.46,5.34
190
+ um so on the one hand you know when,427.56,5.34
191
+ people might have made the argument oh,430.8,3.72
192
+ well we were never meant to live this,432.9,3.359
193
+ long anyways but nobody's really saying,434.52,3.239
194
+ like well let's bring back tuberculosis,436.259,3.84
195
+ right so if you can cure aging if you,437.759,3.84
196
+ can cure heart disease if you can cure,440.099,3.781
197
+ cancer if you if you look at these,441.599,4.32
198
+ things as just diseases that are curable,443.88,4.02
199
+ then it's not a matter of immortality,445.919,3.661
200
+ because you we can't force someone to,447.9,3.06
201
+ live rather you can still die from,449.58,4.26
202
+ accidents right uh but you're not going,450.96,4.739
203
+ to die from aging and age-related,453.84,3.12
204
+ diseases,455.699,3.961
205
+ so that's kind of the dichotomy so let's,456.96,5.82
206
+ take a closer look at the social side so,459.66,6.439
207
+ on the reject side on the on the on the,462.78,6.84
208
+ mortalitasi side uh basically there's,466.099,5.741
209
+ actually some really strong arguments to,469.62,4.74
210
+ be made that aging and death are good,471.84,4.56
211
+ and this is from an evolutionary,474.36,3.66
212
+ perspective and I'm not going to read,476.4,3.12
213
+ all of these to you,478.02,4.079
214
+ um like one by one but basically whether,479.52,4.98
215
+ you take it from a spiritual perspective,482.099,5.521
216
+ or a scientific perspective there are,484.5,5.22
217
+ some some compelling arguments to be,487.62,5.04
218
+ made that maybe we are supposed to age,489.72,4.62
219
+ and die,492.66,3.599
220
+ uh to give way to the younger,494.34,4.259
221
+ generations and so on and you know,496.259,4.261
222
+ there's been bombings and riots over,498.599,4.261
223
+ pro-life and and pro-choice abortion,500.52,4.38
224
+ rights here in America uh you can,502.86,4.679
225
+ imagine that there will probably be some,504.9,6.84
226
+ uh some grumpiness over uh the rise of,507.539,6.481
227
+ of biological immortality,511.74,5.219
228
+ now on the accept side we also have some,514.02,4.68
229
+ models from fiction,516.959,3.721
230
+ um namely like the Baku from Star Trek,518.7,4.56
231
+ insurrection which is a a village of,520.68,4.5
232
+ people that they settled on a planet,523.26,3.12
233
+ that made them Immortal and they,525.18,2.88
234
+ basically formed an Eco Village before,526.38,4.139
235
+ Eco Villages were cool and then the,528.06,4.32
236
+ asari for Mass Effect now the asari for,530.519,3.361
237
+ Mass Effect are not Immortal but they,532.38,3.84
238
+ live a long time and so that's still a,533.88,4.5
239
+ good exploration of okay well if you,536.22,4.08
240
+ start thinking in terms of centuries in,538.38,4.74
241
+ Millennia how does your life change,540.3,5.039
242
+ so for those who accept biological,543.12,4.56
243
+ immortality I suspect that some people,545.339,3.721
244
+ are going to slow down and some people,547.68,3.24
245
+ are going to speed up so on the slow,549.06,4.2
246
+ downside you might say that like you're,550.92,3.539
247
+ going to spend more time mastering the,553.26,4.139
248
+ Arts and Sciences you might settle into,554.459,6.181
249
+ comfortable routines for centuries on,557.399,6.06
250
+ the speeding up side you might live Hard,560.64,4.8
251
+ Play Hard right if you if you have,563.459,3.961
252
+ regenerative medicine that allows you to,565.44,3.72
253
+ do whatever you want you might just,567.42,3.78
254
+ wander the globe,569.16,4.08
255
+ um one of the biggest social changes I,571.2,3.9
256
+ think though will be reproduction and,573.24,4.02
257
+ family structure because think of it,575.1,3.12
258
+ this way,577.26,3.36
259
+ most people once they get to a certain,578.22,4.38
260
+ age and they're empty nesters they kind,580.62,3.48
261
+ of get lonely and bored right you know,582.6,4.08
262
+ you you get a a single family home a,584.1,4.44
263
+ nuclear family home and then your,586.68,3.24
264
+ children grow up and they leave and then,588.54,3.84
265
+ you have an empty house some couples are,589.92,4.08
266
+ perfectly fine they're like oh finally,592.38,3.3
267
+ the house is empty,594.0,3.959
268
+ um and peace and quiet uh and some that,595.68,4.02
269
+ some people will absolutely continue to,597.959,3.301
270
+ live like that probably for centuries,599.7,5.34
271
+ now on the other hand uh many people,601.26,5.699
272
+ once they're empty nesters once they,605.04,3.96
273
+ realize hey you know I've I've had my,606.959,3.121
274
+ children and I don't want to have any,609.0,3.24
275
+ more some people if if you're,610.08,4.14
276
+ biologically 20 years old forever you,612.24,3.539
277
+ might have more children I certainly,614.22,3.0
278
+ expect some people are just going to be,615.779,3.421
279
+ churning them out because that just,617.22,4.619
280
+ seems to be what they want to do but I,619.2,4.44
281
+ think other people will basically just,621.839,3.841
282
+ kind of all gravitate towards,623.64,3.96
283
+ um like retirement communities but since,625.68,3.36
284
+ we're all going to live forever it's,627.6,4.38
285
+ like retirement community okay sure so,629.04,4.739
286
+ that's kind of the dichotomy there for,631.98,3.72
287
+ the initial social reaction you know,633.779,4.261
288
+ except versus reject,635.7,4.62
289
+ now on the economic side,638.04,5.4
290
+ you know the possibility of living,640.32,6.9
291
+ forever uh is who this is super loaded,643.44,6.12
292
+ because Here's the the big question is,647.22,5.4
293
+ whether or not uh longevity medicine is,649.56,5.519
294
+ cheap and accessible if longevity,652.62,4.74
295
+ medicine is not cheap and accessible if,655.079,3.841
296
+ it's reserved for the wealthy and the,657.36,3.24
297
+ elite then we're going to end up with,658.92,3.72
298
+ like God emperor of all mankind level,660.6,4.14
299
+ and stuff,662.64,3.48
300
+ um I don't believe that's the direction,664.74,2.76
301
+ that it's going to go but I needed to,666.12,3.06
302
+ address this because it is a very real,667.5,3.72
303
+ possibility this was explored in the,669.18,3.839
304
+ show alter of show and books altered,671.22,3.359
305
+ carbon and that's where they got the,673.019,3.721
306
+ term methuselahs so the meths or the,674.579,3.901
307
+ methuselahs are the wealthy Elite who,676.74,3.9
308
+ can afford all of the safeguards to,678.48,3.96
309
+ ensure that they are Immortal now in,680.64,3.54
310
+ Altered carbon not only are they,682.44,3.18
311
+ biologically Immortal but they have,684.18,3.54
312
+ backups and clones that they can you,685.62,4.98
313
+ know transfer their Consciousness into,687.72,5.58
314
+ um you know I'm not I'm not above saying,690.6,4.14
315
+ maybe that's possible because when I,693.3,3.719
316
+ talk about those compounding returns I,694.74,3.42
317
+ don't know what's possible and I don't,697.019,2.701
318
+ know what's impossible,698.16,5.58
319
+ so if we have the capacity to live,699.72,6.299
320
+ forever oh and so really important side,703.74,6.0
321
+ note even if uh life-extending medicine,706.019,5.88
322
+ is cheap and accessible for all that,709.74,4.2
323
+ doesn't guarantee that we don't end up,711.899,3.601
324
+ in a dystopian hell because you might,713.94,3.78
325
+ still end up with concentrations of,715.5,4.98
326
+ wealth and power and nobody really wants,717.72,4.559
327
+ to live in a dystopian hell forever,720.48,4.38
328
+ that's like the worst of Both Worlds so,722.279,4.021
329
+ let's not do that,724.86,4.02
330
+ okay so if we want to avoid that outcome,726.3,6.96
331
+ and we want to move towards equality uh,728.88,6.6
332
+ we have basically you have to assume,733.26,3.96
333
+ that some people are going to want to,735.48,3.599
334
+ accumulate wealth and power that's just,737.22,4.32
335
+ human nature right that there there are,739.079,5.281
336
+ there's a you there's absolutely always,741.54,4.919
337
+ utility and having more money having,744.36,3.84
338
+ more power even above and beyond what,746.459,4.081
339
+ you actually need but the more money,748.2,3.84
340
+ that you have the more options you have,750.54,3.96
341
+ right and humans need autonomy and,752.04,4.38
342
+ self-determination,754.5,3.3
343
+ um so that's just you know Maslow's,756.42,2.76
344
+ hierarchy of needs the more money you,757.8,3.0
345
+ have the higher up on that you can get,759.18,3.06
346
+ quicker,760.8,5.099
347
+ so with that assumption the question,762.24,5.159
348
+ then becomes how do the rest of us,765.899,3.361
349
+ create and build and maintain a system,767.399,4.201
350
+ that ensures that it's not too lopsided,769.26,4.079
351
+ or that even if there are wealthy and,771.6,3.299
352
+ powerful people they can't harm the rest,773.339,3.18
353
+ of us,774.899,2.701
354
+ so,776.519,3.0
355
+ I'm not gonna say like you know seize,777.6,4.919
356
+ the means of production however when I,779.519,5.461
357
+ was having the the Q a uh the other,782.519,3.361
358
+ night,784.98,2.7
359
+ um people were talking about like using,785.88,4.38
360
+ AI to manage resources to manage,787.68,4.56
361
+ companies and so on and that's when a,790.26,4.199
362
+ little like bell went off in my head and,792.24,4.14
363
+ I was like wait that's what Dows are for,794.459,3.12
364
+ so if you're not familiar with what a,796.38,4.199
365
+ dow is it's a decentralized autonomous,797.579,6.301
366
+ organization so a dow is uses blockchain,800.579,4.56
367
+ technology and they're pretty much,803.88,5.34
368
+ perfect for AI to run things now in the,805.139,5.88
369
+ short term I don't think that Dows are,809.22,4.32
370
+ going to run the whole world but I think,811.019,3.601
371
+ that we're going to start seeing,813.54,3.18
372
+ experiments where dowels run things like,814.62,4.44
373
+ maybe homeowners associations and small,816.72,4.38
374
+ companies and that sort of thing and if,819.06,5.219
375
+ the technology is proven out it could be,821.1,5.64
376
+ that Dows are the way that we transition,824.279,5.461
377
+ to a more algorithmic kind of,826.74,5.64
378
+ technocracy a good technocracy where the,829.74,4.44
379
+ AI is all debate and integrate our,832.38,3.66
380
+ information and our needs and then,834.18,3.42
381
+ figure out the best way to manage things,836.04,4.739
382
+ so that's one possibility there's plenty,837.6,5.58
383
+ of other possibilities so if you and I,840.779,4.381
384
+ didn't come up with this idea by the way,843.18,3.719
385
+ um the first place I saw that book was a,845.16,4.859
386
+ a that idea was a book called liquid,846.899,4.581
387
+ rain uh,850.019,5.401
388
+ r-e-i-g-n good well-researched book,851.48,6.22
389
+ um the author is in English though or it,855.42,4.44
390
+ doesn't speak English natively so it,857.7,3.54
391
+ needed a little bit more editing but,859.86,3.96
392
+ still a good good book,861.24,5.159
393
+ now on the other hand,863.82,4.92
394
+ if everyone is going to live forever and,866.399,5.341
395
+ it's cheap then we might very well slip,868.74,4.2
396
+ towards,871.74,3.719
397
+ Eternal Injustice which you know we keep,872.94,5.339
398
+ making grimdark movies and TV and books,875.459,4.201
399
+ and video games about that so that's,878.279,3.601
400
+ something that we're all afraid of so,879.66,4.38
401
+ between corporate greed I said Corporal,881.88,5.519
402
+ greed oops typo corporate greed and,884.04,5.88
403
+ political cronyism we it could end up,887.399,4.081
404
+ with technocrats that control everything,889.92,3.599
405
+ and then we get stuck in a dystopian,891.48,3.479
406
+ death spiral that we can never get out,893.519,3.06
407
+ of and it's just and it's a cyberpunk,894.959,3.961
408
+ hell but nobody really wants that except,896.579,4.62
409
+ for there's a few like really cynical,898.92,4.32
410
+ people who probably genuinely want that,901.199,4.561
411
+ but most of us don't want that,903.24,5.58
412
+ um so even even so if you saw my video,905.76,5.759
413
+ about the Malik or watch Liv bori and um,908.82,5.04
414
+ and Daniel schmachtenberger talking,911.519,5.041
415
+ about these really mysterious forces at,913.86,4.8
416
+ play that are going to push us towards,916.56,4.68
417
+ that that attractor State anyways no,918.66,4.56
418
+ matter what we do so we need to change,921.24,3.539
419
+ the game,923.22,3.119
420
+ um I have a whole other video about that,924.779,4.141
421
+ so check out my Malik video my in-game,926.339,5.101
422
+ video if you want to know more about how,928.92,4.8
423
+ to avoid that situation but I do need to,931.44,5.28
424
+ point out that longevity Medicine by no,933.72,5.58
425
+ means will automatically prevent that,936.72,4.799
426
+ and in fact it could push us towards,939.3,3.3
427
+ that,941.519,2.94
428
+ um so we need to be very careful,942.6,4.799
429
+ now on the topic of Hedonism versus,944.459,4.861
430
+ asceticism,947.399,4.62
431
+ um you know like what do we do right if,949.32,4.379
432
+ you know that you can just take a pill,952.019,3.961
433
+ you can abuse your body and if you party,953.699,3.841
434
+ too hard you just sleep it off for a,955.98,3.419
435
+ week and then you're back to normal like,957.54,4.919
436
+ are people gonna do that you know like I,959.399,4.74
437
+ don't know about you but in my early 20s,962.459,4.021
438
+ I was like yeah let's party,964.139,5.521
439
+ um and if I had a 20 year old body again,966.48,4.74
440
+ I'd probably do that again for a little,969.66,3.66
441
+ while so,971.22,4.44
442
+ this is this is an oversimplification,973.32,5.699
443
+ but one one uh Spectrum to think about,975.66,5.4
444
+ it is you can live hedonically or,979.019,4.26
445
+ hedonistically or ascetically,981.06,4.62
446
+ and so let's talk about the hedonic life,983.279,4.68
447
+ this is the obvious kind of like you,985.68,4.2
448
+ know just engage in wanting Hedonism for,987.959,3.901
449
+ however long you want because you know,989.88,3.6
450
+ that you'll be fine,991.86,4.32
451
+ one thing that I worry about here is,993.48,5.34
452
+ that if you are able to be saturated in,996.18,4.68
453
+ joy and pleasure you're going to become,998.82,3.84
454
+ numb to dopamine and you're going to be,1000.86,4.14
455
+ like constantly seeking the next biggest,1002.66,4.38
456
+ thing and so you know we have like,1005.0,4.019
457
+ digital minimalism and dopamine fasting,1007.04,3.84
458
+ and stuff so I think that that could be,1009.019,4.26
459
+ like an antidote to the hedonic life we,1010.88,4.259
460
+ might also come up with medicines that,1013.279,3.3
461
+ desensitize you or I guess maybe,1015.139,4.44
462
+ re-sensitize you to dopamine,1016.579,6.12
463
+ um but if we have like entire swaths of,1019.579,4.5
464
+ the population who do nothing but,1022.699,4.26
465
+ mindlessly pursue joy and pleasure like,1024.079,5.581
466
+ what's like what's the point does that,1026.959,5.1
467
+ maybe make life meaningless,1029.66,3.84
468
+ um and that'll be up to the individuals,1032.059,3.181
469
+ to discover I'm not going to make any,1033.5,3.54
470
+ judgments one way or another because,1035.24,4.559
471
+ even just pursuing experiences you can,1037.04,4.379
472
+ make a philosophical argument that that,1039.799,4.26
473
+ is a good thing and that longevity,1041.419,5.52
474
+ medicine can Empower us to have entirely,1044.059,6.261
475
+ new kinds of experiences so,1046.939,6.001
476
+ one way or another those experiences,1050.32,4.96
477
+ will probably be had now on the other,1052.94,4.5
478
+ hand there's the acidic life so acetic,1055.28,4.62
479
+ life is about basically living more like,1057.44,5.46
480
+ a monk or uh monastically where you,1059.9,4.8
481
+ deliberately deprive yourself of those,1062.9,3.54
482
+ Joys and Pleasures,1064.7,3.839
483
+ um and focus on developing a sense of,1066.44,4.859
484
+ satisfaction from uh and contentment,1068.539,6.321
485
+ through uh connection service reflection,1071.299,6.481
486
+ spiritual growth and so on,1074.86,5.62
487
+ and so what I want to say is that these,1077.78,4.38
488
+ are like extreme opposites I don't think,1080.48,3.72
489
+ most people are going to go to either,1082.16,3.899
490
+ opposite I think that most people are,1084.2,3.3
491
+ going to be balanced in there somewhere,1086.059,5.701
492
+ and so for myself in particular I,1087.5,6.179
493
+ usually like you know I try and have one,1091.76,4.26
494
+ or two like big social fun outings per,1093.679,4.141
495
+ week and then the rest of the time I,1096.02,4.26
496
+ focus on Research uh making YouTube,1097.82,4.08
497
+ videos,1100.28,4.32
498
+ um you know supporting my patreon uh,1101.9,6.18
499
+ supporters and so on and so you know I,1104.6,5.04
500
+ think it'll be just a matter of balance,1108.08,4.44
501
+ uh so this is not nearly as big of a,1109.64,5.039
502
+ deal I think as the econ the economic,1112.52,4.8
503
+ you know equality versus inequality,1114.679,6.24
504
+ now taking a step back though,1117.32,5.7
505
+ forget the economics for a second let's,1120.919,4.921
506
+ look at ourselves as a species will we,1123.02,4.86
507
+ stagnate or will we innovate if we,1125.84,6.24
508
+ achieve uh biological immortality so a,1127.88,5.76
509
+ quotation comes to mind and this is just,1132.08,3.719
510
+ a truism that is said in in the,1133.64,4.26
511
+ establishment which is science advances,1135.799,3.781
512
+ one funeral at a time,1137.9,5.76
513
+ so basically the idea is that uh if you,1139.58,6.0
514
+ know if if the status quo is maintained,1143.66,3.18
515
+ and the people that believe in the,1145.58,2.64
516
+ status quo live forever they continue,1146.84,3.48
517
+ maintaining the status quo forever and,1148.22,4.56
518
+ nothing ever changes so do people get,1150.32,3.96
519
+ stuck in their way,1152.78,3.3
520
+ um if people continue to get stuck in,1154.28,4.38
521
+ their way with biological immortality,1156.08,4.74
522
+ yeah we could end up being a very,1158.66,4.68
523
+ stagnant species now on the other hand,1160.82,5.16
524
+ maybe biological immortality helps,1163.34,4.74
525
+ people stay more open-minded maybe we,1165.98,3.78
526
+ even develop therapies that keep you,1168.08,3.54
527
+ open-minded and prevent your mind from,1169.76,5.52
528
+ calcifying and then hopefully we can get,1171.62,5.28
529
+ the best of both worlds and so what I,1175.28,3.3
530
+ mean by that is you're young you're,1176.9,3.659
531
+ Dynamic you're you you're open-minded,1178.58,4.08
532
+ but then you also get to accumulate,1180.559,4.441
533
+ centuries worth of wisdom so let's take,1182.66,4.68
534
+ a deeper dive into that so on the one,1185.0,4.98
535
+ hand we could end up with mass paralysis,1187.34,5.339
536
+ so imagine just do a thought experiment,1189.98,5.52
537
+ with me for a second imagine that during,1192.679,5.761
538
+ the um during uh the the height of the,1195.5,5.1
539
+ Spanish Empire the,1198.44,4.32
540
+ um the Conquistadors found the Fountain,1200.6,5.22
541
+ of of Youth and they were able to convey,1202.76,5.82
542
+ uh the magic of immortality to the king,1205.82,4.739
543
+ and queen of Spain who were deeply,1208.58,4.26
544
+ Catholic and then they were able to take,1210.559,4.74
545
+ that and then basically spread Spanish,1212.84,4.5
546
+ style Catholicism around the entire,1215.299,4.441
547
+ world 500 years ago,1217.34,4.86
548
+ and then the entire world was Frozen,1219.74,5.1
549
+ with that value system so things like,1222.2,4.68
550
+ slavery theocracy patriarchy and,1224.84,3.719
551
+ colonialism become the status quo,1226.88,3.12
552
+ forever,1228.559,3.12
553
+ or at least until something major,1230.0,3.36
554
+ happens because that doesn't preclude,1231.679,4.141
555
+ the possibility of Civil War Uprising,1233.36,4.74
556
+ that sort of thing but from a social,1235.82,4.14
557
+ perspective many of those people that,1238.1,3.6
558
+ think that hey you know colonialism and,1239.96,3.959
559
+ slavery was a good idea might still be,1241.7,5.28
560
+ alive today so what kind of values,1243.919,6.301
561
+ like need to be sunsetted with funerals,1246.98,5.4
562
+ so that's something that's that's the,1250.22,4.44
563
+ downside now I did think of an upside to,1252.38,3.6
564
+ this though,1254.66,4.92
565
+ with the rate of change of society it,1255.98,5.52
566
+ might actually be good to have some Old,1259.58,3.66
567
+ Guard people pushing the brakes more,1261.5,4.2
568
+ because I mean the world is changing,1263.24,4.98
569
+ really fast right now and maybe it's,1265.7,5.4
570
+ even too fast so if there's a few people,1268.22,4.44
571
+ that are a little bit more resistant,1271.1,3.42
572
+ that could be a good thing especially,1272.66,5.04
573
+ with AI ramping up and and who knows how,1274.52,4.98
574
+ fast life is going to change I'm not,1277.7,3.78
575
+ saying that it totally counterbalances,1279.5,3.84
576
+ it I'm just giving you some food for,1281.48,2.699
577
+ thought,1283.34,3.9
578
+ now on the other hand if all of our best,1284.179,5.101
579
+ Minds live forever whether they're,1287.24,4.64
580
+ social thinkers or scientists or or,1289.28,5.279
581
+ spiritual leaders or whatever if they,1291.88,5.02
582
+ all live forever like that could,1294.559,3.721
583
+ actually be really good and that could,1296.9,3.3
584
+ actually support life and the world,1298.28,4.74
585
+ changing for the better faster because,1300.2,6.0
586
+ what if Nikola Tesla and Albert Einstein,1303.02,5.58
587
+ and Stephen Hawking were all still alive,1306.2,4.92
588
+ and all collaborating to make nuclear,1308.6,4.62
589
+ fusion and warp drive right like that,1311.12,3.84
590
+ would be pretty cool,1313.22,3.6
591
+ um and then you know I'm not going to,1314.96,3.66
592
+ pick any particular spiritual leaders,1316.82,3.479
593
+ because all of them have their own,1318.62,3.96
594
+ issues imagine that humans are,1320.299,3.601
595
+ complicated and the closer you look at,1322.58,3.959
596
+ them they're all problematic but the,1323.9,6.3
597
+ point being is that having many leaders,1326.539,5.161
598
+ in the world that have centuries of,1330.2,3.719
599
+ wisdom accumulated could actually be a,1331.7,3.38
600
+ really good thing for us could help,1333.919,4.74
601
+ stabilize the entire planet and the,1335.08,5.68
602
+ entire species which I think is on,1338.659,4.321
603
+ balance probably a good thing,1340.76,4.2
604
+ so whether it's positive disruption or,1342.98,4.88
605
+ positive stabilization I do think that,1344.96,5.94
606
+ overall there are so while there are,1347.86,4.9
607
+ some pros and cons it's a double-edged,1350.9,4.56
608
+ sword I think that longevity would be a,1352.76,5.039
609
+ net positive for the species,1355.46,4.56
610
+ okay so those are all the issues that,1357.799,4.021
611
+ I've unpacked now let's dive into the,1360.02,3.3
612
+ last part of the video which is my,1361.82,3.18
613
+ specific predictions,1363.32,3.66
614
+ so in the near term as I mentioned,1365.0,4.559
615
+ earlier in the video I do believe that,1366.98,4.439
616
+ longevity medicine is going to be dirt,1369.559,4.321
617
+ cheap and broadly accessible I think,1371.419,5.221
618
+ it's going to be cheap because at the at,1373.88,6.0
619
+ the fundamental level mRNA vaccines not,1376.64,5.64
620
+ that expensive nanoparticles not that,1379.88,4.26
621
+ expensive especially once you figure out,1382.28,4.5
622
+ how to scale them and then finally for,1384.14,4.44
623
+ accessibility I think that government,1386.78,3.96
624
+ regulation will ensure that everything,1388.58,4.92
625
+ is accessible just because that'll be,1390.74,4.5
626
+ the will of the people but also it makes,1393.5,3.48
627
+ economic sense to ensure that everyone,1395.24,3.6
628
+ has access to it,1396.98,4.26
629
+ and the reason is because well death is,1398.84,3.42
630
+ expensive,1401.24,3.78
631
+ uh the economic loss of expertise but,1402.26,5.039
632
+ also end-of-life care is ludicrously,1405.02,4.8
633
+ expensive and so just from a purely,1407.299,5.221
634
+ economic standpoint it makes sense to,1409.82,4.5
635
+ push for longevity medicine to be cheap,1412.52,4.019
636
+ and accessible another thing is that,1414.32,3.66
637
+ it's going to be an array of therapies,1416.539,3.421
638
+ because there's tens of thousands of,1417.98,5.059
639
+ diseases and metabolic disorders and,1419.96,5.16
640
+ genetic flaws and every you know,1423.039,3.64
641
+ hundreds of thousands millions of things,1425.12,4.32
642
+ that can go wrong with the body so when,1426.679,4.141
643
+ we say like you know biological,1429.44,2.82
644
+ immortality it's not going to be one,1430.82,3.56
645
+ pill that you take it's going to be,1432.26,4.68
646
+ bespoke personalized medicine it's going,1434.38,5.2
647
+ to be injections it might be implants it,1436.94,4.739
648
+ might be nanites it's going to be a lot,1439.58,5.099
649
+ of stuff number three is that detection,1441.679,5.101
650
+ detection and imaging of biological,1444.679,3.36
651
+ problems needs a little bit more of,1446.78,3.3
652
+ advancement now that being said I'm not,1448.039,3.421
653
+ worried about it because I think AI is,1450.08,2.82
654
+ going to figure that out quick fast and,1451.46,3.68
655
+ in a hurry so the combination of AI,1452.9,4.86
656
+ Quantum Computing and Material Science,1455.14,4.659
657
+ means that you'll probably end up with a,1457.76,3.899
658
+ implant like in your arm or whatever,1459.799,4.62
659
+ this just constantly reporting on the,1461.659,4.64
660
+ content of your blood,1464.419,5.581
661
+ there was a some like speculative sci-fi,1466.299,5.141
662
+ kind of documentaries that I watched,1470.0,4.26
663
+ years ago that um that there the sensors,1471.44,4.08
664
+ were actually in the toilets so every,1474.26,3.779
665
+ time you go to the bathroom it it reads,1475.52,3.72
666
+ you know what's coming out of your body,1478.039,3.481
667
+ and can use that to infer you know your,1479.24,3.96
668
+ your health,1481.52,3.12
669
+ um I don't know that's a little bit,1483.2,5.099
670
+ weird but hey it's one possible modality,1484.64,5.279
671
+ um yeah so the fourth one is just kind,1488.299,3.541
672
+ of a rehash of the different delivery,1489.919,4.681
673
+ mechanisms okay so here's where it gets,1491.84,6.78
674
+ fun life in 200 years I predict that due,1494.6,6.84
675
+ in part to uh the technologies that lead,1498.62,4.38
676
+ to life extension but also some of the,1501.44,4.02
677
+ knock-on effects of Life Extension mean,1503.0,4.14
678
+ that war poverty and disease will all,1505.46,2.94
679
+ have been solved,1507.14,3.779
680
+ and so what I mean by that is that our,1508.4,3.779
681
+ best and brightest whether they're,1510.919,2.821
682
+ Engineers spiritual leaders political,1512.179,4.081
683
+ leaders scientists will all be living,1513.74,4.799
684
+ longer and will be able to help provide,1516.26,5.34
685
+ a steadying hand not just for you know,1518.539,5.281
686
+ Global Harmony but also to help solve,1521.6,3.9
687
+ the problems,1523.82,3.42
688
+ um so that's going to be I think a,1525.5,3.419
689
+ really big thing,1527.24,3.96
690
+ um and 200 years is is going to be close,1528.919,4.86
691
+ there's probably going to be some big,1531.2,5.4
692
+ like Global conflicts between now and,1533.779,3.78
693
+ then,1536.6,2.579
694
+ um hopefully just one more well,1537.559,3.72
695
+ hopefully zero more but in all,1539.179,4.701
696
+ likelihood at least one more,1541.279,4.5
697
+ unfortunately,1543.88,4.48
698
+ um number two is because of that,1545.779,4.321
699
+ aforementioned thing where like most,1548.36,3.78
700
+ people are going to be empty nesters and,1550.1,3.3
701
+ so we already have a model for that,1552.14,3.18
702
+ right like you go to a retirement,1553.4,3.3
703
+ community some of those people are the,1555.32,2.76
704
+ happiest people you've ever met so I,1556.7,3.12
705
+ think everyone is going to move towards,1558.08,3.9
706
+ that sort of communal living,1559.82,3.66
707
+ and I don't mean shared ownership I,1561.98,3.36
708
+ don't mean like communism communal I,1563.48,3.6
709
+ just mean like Village living and group,1565.34,3.06
710
+ living,1567.08,3.42
711
+ um in rural places it'll be more like,1568.4,4.74
712
+ Villages uh like Eco Villages or that,1570.5,4.559
713
+ sort of thing and in urban places it'll,1573.14,3.3
714
+ be like high density co-living,1575.059,3.12
715
+ situations and of course there will,1576.44,3.66
716
+ still be a plenty of people who prefer,1578.179,3.661
717
+ to live alone or just with their partner,1580.1,5.16
718
+ or Partners if they're non-monogamous,1581.84,6.0
719
+ overall in 200 years I think that the,1585.26,4.799
720
+ global population will have stabilized,1587.84,4.02
721
+ and I know that some people believe that,1590.059,3.6
722
+ the carrying capacity is like 50 billion,1591.86,3.66
723
+ or 50 trillion or whatever,1593.659,3.181
724
+ um you don't want to live on a planet,1595.52,3.18
725
+ with 50 billion humans I promise you,1596.84,4.02
726
+ like look into it,1598.7,3.599
727
+ um so I think that the population will,1600.86,3.0
728
+ stabilize it could we could still end up,1602.299,3.601
729
+ with a lot more than we have today maybe,1603.86,3.84
730
+ 15 billion or 20 billion that would,1605.9,3.779
731
+ still be pretty crowded,1607.7,3.66
732
+ um and then Supply chains are going to,1609.679,4.5
733
+ be really really blah anyways point,1611.36,5.34
734
+ being I think that uh population will,1614.179,5.281
735
+ have stabilized within 200 years and,1616.7,4.38
736
+ because of that there will be very few,1619.46,3.599
737
+ children there will be economic,1621.08,4.199
738
+ incentives against having children so,1623.059,3.961
739
+ this was explored in an episode of Love,1625.279,4.681
740
+ death and robots where you in order to,1627.02,4.32
741
+ keep getting your life extending,1629.96,4.26
742
+ medicine you have to be sterilized,1631.34,6.0
743
+ um that's a pretty Draconian measure so,1634.22,5.22
744
+ but depending on the depending on what,1637.34,4.26
745
+ happens that could become a thing I kind,1639.44,3.54
746
+ of doubt it I think that people will,1641.6,2.939
747
+ voluntarily just kind of get over,1642.98,3.66
748
+ themselves like everyone has one or two,1644.539,3.481
749
+ children and then they're happy or,1646.64,3.12
750
+ whatever but you never know because you,1648.02,3.12
751
+ know grandparents get to the point where,1649.76,2.76
752
+ they haven't had children in a long time,1651.14,2.34
753
+ and they're like hey I want,1652.52,4.32
754
+ grandchildren and you know we are we are,1653.48,5.1
755
+ biologically wired too like having,1656.84,3.42
756
+ children around,1658.58,4.5
757
+ uh some of us some people are like no,1660.26,4.74
758
+ get children away from me,1663.08,5.099
759
+ um but yeah oops come back sorry,1665.0,5.4
760
+ um yes so I think that within 200 years,1668.179,3.6
761
+ we're gonna still have some some,1670.4,3.899
762
+ holdouts of the mortalitasi,1671.779,4.5
763
+ um some probably some small communities,1674.299,3.721
764
+ and shrinking communities that that,1676.279,4.14
765
+ prefer the natural uh flow of things,1678.02,4.62
766
+ hopefully they don't cause any trouble I,1680.419,3.181
767
+ don't think that they're going to be,1682.64,1.98
768
+ like,1683.6,2.52
769
+ um terrorists or anything because that,1684.62,3.659
770
+ kind of runs contrary but you never know,1686.12,3.84
771
+ what's going to happen,1688.279,4.081
772
+ um and also lastly within 200 years I,1689.96,3.66
773
+ think the governments and corporations,1692.36,3.179
774
+ will still exist as we know them today,1693.62,4.86
775
+ nation states and that sort of thing in,1695.539,4.201
776
+ the long run though I think that that,1698.48,3.0
777
+ idea that I that I was talking about,1699.74,3.24
778
+ with the you know decentralized,1701.48,3.24
779
+ autonomous organizations where,1702.98,4.079
780
+ everything is run by by hierarchies of,1704.72,5.16
781
+ AI with human input I think that that's,1707.059,4.921
782
+ probably going to be like the long-term,1709.88,4.32
783
+ end game I hope,1711.98,4.559
784
+ if it's done right and then finally in,1714.2,4.92
785
+ 2000 years because we're approaching the,1716.539,4.26
786
+ singularity,1719.12,3.9
787
+ um you know heck we might figure out,1720.799,4.26
788
+ faster than light travel before that 200,1723.02,4.8
789
+ years is up so let's be honest but what,1725.059,4.62
790
+ I'm going to say is that within 2000,1727.82,4.32
791
+ years we will have figured it out,1729.679,4.201
792
+ um if faster than light travel is,1732.14,3.72
793
+ possible we will have figured that out,1733.88,4.08
794
+ basically in our lifetime because we're,1735.86,4.08
795
+ probably going to live a long time and,1737.96,3.839
796
+ if not then Interstellar flight is going,1739.94,4.32
797
+ to be a thing now what's going to happen,1741.799,5.88
798
+ as humans spread across the universe is,1744.26,6.18
799
+ that it takes an astronomical amount of,1747.679,5.281
800
+ energy to change the habitat of an,1750.44,4.26
801
+ entire planet which if we solve fusion,1752.96,3.66
802
+ and have anti-matter reactors and that,1754.7,3.78
803
+ sort of stuff we will have enough energy,1756.62,5.22
804
+ to do that but that being said,1758.48,5.699
805
+ we might not right we might not have,1761.84,4.02
806
+ enough energy and material because if,1764.179,3.661
807
+ you run the numbers it would take a,1765.86,3.96
808
+ tremendous amount of water and and,1767.84,4.319
809
+ matter to make Mars habitable habitable,1769.82,5.76
810
+ for instance and Earth-like worlds might,1772.159,5.64
811
+ be really really far apart,1775.58,5.52
812
+ um so like too far to get to so it's,1777.799,5.401
813
+ easier to change ourselves so this is,1781.1,3.66
814
+ this is what I'm building up to it's,1783.2,3.3
815
+ easier to change ourselves than an,1784.76,3.779
816
+ entire planet especially if we have,1786.5,3.779
817
+ genetic medicine and cybernetic stuff,1788.539,4.14
818
+ and nanotech and blah blah all that fun,1790.279,5.041
819
+ stuff so we might adapt ourselves to,1792.679,4.1
820
+ live on planets that we couldn't,1795.32,4.5
821
+ currently habitate which means that we,1796.779,5.201
822
+ we that we as humans might deliberately,1799.82,5.28
823
+ speciate in order to,1801.98,5.1
824
+ um in order to spread across the stars,1805.1,4.26
825
+ and this is kind of in Canon from the,1807.08,4.319
826
+ Star Trek universe where like they kind,1809.36,3.6
827
+ of have a really wimpy explanation in,1811.399,3.061
828
+ one episode in generation Next,1812.96,4.02
829
+ Generation where like the reason that,1814.46,4.74
830
+ all aliens have roughly the same body,1816.98,4.5
831
+ plan is because we all had a you know,1819.2,5.04
832
+ the same progenitor species billions of,1821.48,4.26
833
+ years ago or whatever,1824.24,2.7
834
+ so I don't know if that's going to,1825.74,3.0
835
+ happen but this is just one possibility,1826.94,4.38
836
+ if you think of like okay we really want,1828.74,4.38
837
+ to get onto other planets so what are,1831.32,3.18
838
+ the implications of that we can either,1833.12,2.88
839
+ make the planets more Earth-like or we,1834.5,3.419
840
+ can adapt ourselves or maybe a little,1836.0,4.62
841
+ bit of of both but over a long enough,1837.919,5.161
842
+ period of time we might consider like,1840.62,4.26
843
+ the people on Mars a different species,1843.08,4.52
844
+ or in Alpha Centauri a different species,1844.88,5.22
845
+ which could result in like maybe they,1847.6,4.12
846
+ will actually look like Klingons one day,1850.1,4.199
847
+ who knows alright so I hope you had a,1851.72,4.26
848
+ lot of fun thanks for watching don't,1854.299,4.321
849
+ forget like And subscribe and hop on,1855.98,5.4
850
+ patreon and also if I got it working,1858.62,4.679
851
+ we're actually about to jump right over,1861.38,4.019
852
+ to the live stream q a so I will see you,1863.299,4.281
853
+ there,1865.399,2.181
ChatGPT API QA Chatbot ep 1 Data Prep Automating Regenerative Science_transcript.csv ADDED
@@ -0,0 +1,638 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ all right gang so David Shapiro here,0.599,4.861
3
+ um one of the questions that I get the,3.6,5.1
4
+ most on patreon and Linkedin and,5.46,5.7
5
+ everywhere else is how do I make a QA,8.7,4.92
6
+ chatbot I get questions like how do I,11.16,4.979
7
+ answer specific questions whether it's,13.62,6.18
8
+ in a um a high risk situation and I mean,16.139,7.861
9
+ like uh law medicine mental health all,19.8,6.059
10
+ kinds of stuff and of course you know,24.0,4.859
11
+ chat GPT is out and you can do some,25.859,4.861
12
+ stuff but you know it's it's bounded,28.859,3.601
13
+ right they have their own things but,30.72,5.1
14
+ with the chat GPT API we can do our own,32.46,4.68
15
+ stuff,35.82,4.02
16
+ um and natural language interfaces are,37.14,4.5
17
+ certainly the way of the future or at,39.84,3.66
18
+ least the way of right now for how we're,41.64,4.02
19
+ going to be interacting with data and,43.5,4.98
20
+ computers so I did a little a little,45.66,3.96
21
+ poll,48.48,4.5
22
+ um and a very very clear majority people,49.62,7.02
23
+ want QA chat Bots now I was laying in,52.98,5.64
24
+ bed last night and I was like I want to,56.64,4.5
25
+ do I want to accelerate longevity and,58.62,4.439
26
+ regenerative medicine,61.14,3.36
27
+ um because like that's one of the things,63.059,3.481
28
+ that I'm I really am looking forward to,64.5,4.439
29
+ like I've got an old shoulder injury and,66.54,4.259
30
+ I've got like you know I'm getting old,68.939,4.021
31
+ right and getting old sucks,70.799,4.14
32
+ and I just saw that Sam Altman invested,72.96,5.46
33
+ 180 million in um in this stuff so I was,74.939,5.521
34
+ like okay well what if I can combine,78.42,4.32
35
+ these two right so here's what we're,80.46,4.979
36
+ going to do we're going to go through,82.74,5.04
37
+ the whole process of,85.439,4.86
38
+ um using the latest and greatest AI,87.78,5.22
39
+ tools to make even more AI tools to help,90.299,5.581
40
+ accelerate longevity and regenerative,93.0,5.34
41
+ medicine and we're going to do it with,95.88,6.059
42
+ the chat GPT API so this is going to be,98.34,5.7
43
+ a series uh I don't know it's going to,101.939,3.54
44
+ take a while to unpack and I'm also,104.04,2.82
45
+ going to do a little bit of real-time,105.479,2.881
46
+ editing with pausing and stuff so,106.86,3.0
47
+ anyways,108.36,3.66
48
+ um here's where I'm starting,109.86,5.7
49
+ and I often uh in past experiments I'll,112.02,6.059
50
+ often collect the data before like,115.56,3.78
51
+ without showing you guys and then I'll,118.079,3.36
52
+ forget how I got it so I'm documenting,119.34,4.86
53
+ how I got the data in the first place so,121.439,5.28
54
+ I would come over to Bing AI which uh,124.2,4.86
55
+ Bing chat searches the internet and I,126.719,4.501
56
+ can tell it what I'm looking for and,129.06,3.899
57
+ also speaking of,131.22,4.26
58
+ um we're up to 10. so that's good,132.959,4.321
59
+ um it'll be better once they figure out,135.48,4.2
60
+ how to get get us back to unlimited,137.28,3.9
61
+ conversations but we're we're going,139.68,3.12
62
+ we're going in the right direction,141.18,4.32
63
+ so I asked for sources for primary,142.8,4.92
64
+ research and I said like NIH and archive,145.5,4.14
65
+ and of course it just said NIH and,147.72,4.56
66
+ archive but it also added nature,149.64,4.38
67
+ um and so basically what I'm doing is,152.28,5.52
68
+ I'm going to gather some sources I'm,154.02,6.0
69
+ going to download some like PDFs or uh,157.8,4.2
70
+ or other articles,160.02,4.68
71
+ um and use that as my my data now,162.0,5.22
72
+ obviously this is probably not I'm I,164.7,4.38
73
+ probably will not succeed in advancing,167.22,4.799
74
+ science on my own but what I can do is I,169.08,5.22
75
+ can demonstrate how and then someone,172.019,4.321
76
+ else can take it as and put it into a,174.3,4.019
77
+ product speaking of,176.34,3.78
78
+ um I have had on occasion some people,178.319,3.961
79
+ reach out to me and say like oh I,180.12,4.08
80
+ Incorporated your work into like my,182.28,3.9
81
+ startup or into my business like please,184.2,4.679
82
+ let me know what you're actually using,186.18,5.76
83
+ my work for one it's just nice to know,188.879,5.101
84
+ but two it also helps me understand,191.94,4.2
85
+ where I'm adding value,193.98,4.92
86
+ right because my my whole goal I'm not,196.14,6.0
87
+ here to make a ton of money I am here to,198.9,5.28
88
+ help bring about post scarcity and,202.14,3.599
89
+ Singularity and all that fun stuff all,204.18,3.12
90
+ right so anyways,205.739,4.5
91
+ um let's see I'm specifically trying to,207.3,5.04
92
+ accelerate,210.239,7.801
93
+ um uh longevity and regenerative,212.34,8.039
94
+ uh research,218.04,8.339
95
+ um with AI so I'm looking for uh papers,220.379,10.741
96
+ that can be integrated into automatic,226.379,8.22
97
+ NLP stuff,231.12,5.399
98
+ um,234.599,5.28
99
+ yeah that's basically it so,236.519,7.741
100
+ so I think the kinds of papers that will,239.879,8.64
101
+ be most helpful are likely,244.26,4.979
102
+ um,248.519,4.561
103
+ to include specific techniques uh,249.239,7.081
104
+ proteins enzymes,253.08,6.18
105
+ um enzymes,256.32,5.58
106
+ that doesn't look great enzymes,259.26,5.18
107
+ um and therapies,261.9,6.84
108
+ uh let's see does that help narrow it,264.44,5.979
109
+ down,268.74,3.84
110
+ all right so if I tell Bing what I'm,270.419,4.141
111
+ doing hopefully it'll have a better,272.58,4.679
112
+ understanding of what I'm trying to,274.56,5.28
113
+ achieve and then give me a little bit,277.259,5.461
114
+ more specific stuff so anyways uh,279.84,5.88
115
+ regenerative medicine so nature.com,282.72,5.28
116
+ regenerative,285.72,5.699
117
+ uh looks like this is pretty good so,288.0,4.68
118
+ there's plenty of stuff that's open,291.419,4.141
119
+ access so in order to respect the data,292.68,4.32
120
+ I'm only going to download stuff that,295.56,3.359
121
+ has Open Access which it's great that,297.0,2.82
122
+ that,298.919,2.28
123
+ um they do this actually I'm going to,299.82,4.98
124
+ bookmark this favorites bar,301.199,5.22
125
+ um because that's good information let's,304.8,3.3
126
+ see yes that helps a lot thank you for,306.419,2.661
127
+ sharing,308.1,3.12
128
+ artificial intelligence and Longevity,309.08,5.02
129
+ medicine which discusses interesting so,311.22,4.8
130
+ there's,314.1,3.36
131
+ oh,316.02,4.56
132
+ okay so I found a nature article talking,317.46,6.48
133
+ about it oh this is only a preview okay,320.58,5.7
134
+ so I think we'll need to specify,323.94,3.66
135
+ um,326.28,4.44
136
+ that we need uh Open Access stuff let's,327.6,4.56
137
+ see,330.72,3.84
138
+ let's see um do you want me to show you,332.16,5.16
139
+ how to download any of these papers,334.56,3.54
140
+ um,337.32,5.52
141
+ no some of them are not open access but,338.1,8.28
142
+ I'm not looking for,342.84,7.44
143
+ um Ai and aging papers I'm doing the AI,346.38,7.14
144
+ I'm looking for,350.28,6.66
145
+ um uh therapeutic,353.52,6.6
146
+ techniques and candidates,356.94,6.56
147
+ and you try again,360.12,3.38
148
+ yep so therapeutic techniques and,368.639,2.941
149
+ candidates for longevity and,370.44,3.18
150
+ regenerative medicine so it's just what,371.58,4.32
151
+ it's doing is it's distilling down my,373.62,4.5
152
+ search query which that's actually a,375.9,3.54
153
+ super easy thing to do with prompt,378.12,3.06
154
+ engineering you just say take this,379.44,4.74
155
+ paragraph and convert it into a Google,381.18,4.739
156
+ search query or in this case a Bing,384.18,4.079
157
+ search query,385.919,4.56
158
+ all right let's see regenerative,388.259,4.5
159
+ medicine all right the Lancet so that's,390.479,4.681
160
+ a good one envisioning future Trends in,392.759,4.44
161
+ regenerative medicine,395.16,5.759
162
+ so some of these Yes except all cookies,397.199,5.401
163
+ where'd it go okay,400.919,4.201
164
+ all right so this is not this is,402.6,5.159
165
+ requiring stuff so here's one thing,405.12,3.84
166
+ where,407.759,3.841
167
+ um I am really skeptical because like,408.96,5.94
168
+ all of this gatekeeping and pay walls is,411.6,4.5
169
+ actually really going to slow down,414.9,4.16
170
+ research especially in the age of AI,416.1,5.76
171
+ that being said it's like okay there is,419.06,5.74
172
+ some value added by,421.86,6.54
173
+ um by these things okay uh let's focus,424.8,8.1
174
+ on Open Access sources,428.4,5.78
175
+ um of,432.9,5.639
176
+ regenerative uh medicine research,434.18,9.1
177
+ can you find any more aside,438.539,8.481
178
+ aside from archive,443.28,3.74
179
+ and nature because like okay the fact,447.36,4.38
180
+ that like this one is here so medical,449.819,4.861
181
+ Express but this is like a no-name site,451.74,6.0
182
+ so it's like I don't even know if,454.68,6.239
183
+ like what this is yeah this is just,457.74,6.0
184
+ someone restating something else and,460.919,4.381
185
+ it's just pointing at nature anyways,463.74,3.84
186
+ okay so it looks like nature Open Access,465.3,4.92
187
+ is going to be our best source so far we,467.58,5.459
188
+ can also have archive,470.22,4.68
189
+ um so let's see,473.039,5.461
190
+ if we go to Archive and we look for like,474.9,6.06
191
+ let's see where is it,478.5,4.86
192
+ well it oh looks like we're looking for,480.96,5.359
193
+ Bio archive okay,483.36,2.959
194
+ oh man this website is like from the 90s,487.259,4.44
195
+ [Laughter],489.79,5.09
196
+ okay this is gonna be a pain,491.699,5.761
197
+ ouch all right Neuroscience molecular so,494.88,5.759
198
+ molecular biology Immunology genomics,497.46,5.76
199
+ genetics,500.639,7.74
200
+ um let's see cell biology cancer biology,503.22,5.879
201
+ um,508.379,3.72
202
+ biochemistry,509.099,3.0
203
+ synthetic biology that's fun,512.159,5.461
204
+ okay structural bias so a lot of this,515.339,4.08
205
+ stuff is not going to be like directly,517.62,4.62
206
+ relevant which is interesting,519.419,4.98
207
+ um okay sure open Journal of,522.24,4.8
208
+ regenerative medicine hey that looks,524.399,4.261
209
+ stem cell research and regenerative,527.04,2.94
210
+ medicine,528.66,5.34
211
+ and npj there we go open Journal of,529.98,5.7
212
+ regenerative medicine so let's bookmark,534.0,4.16
213
+ that,535.68,2.48
214
+ favorites bar,538.38,4.74
215
+ Open Access Journal stem cell research,540.779,4.381
216
+ and regenerative medicine,543.12,6.08
217
+ okay I'm not seeing any papers,545.16,4.04
218
+ um let's see,551.76,2.54
219
+ looks like they only have like a couple,555.54,4.739
220
+ of issues per year I don't know this,557.76,4.32
221
+ looks,560.279,4.381
222
+ low quality,562.08,4.379
223
+ okay,564.66,3.48
224
+ um all right well we've got a couple,566.459,4.621
225
+ right so let me let me bookmark bio,568.14,5.84
226
+ archive as well,571.08,2.9
227
+ okay so if we come here got bioarchive,575.82,4.68
228
+ we've got open Journal of regenerative,578.88,3.3
229
+ medicine,580.5,3.12
230
+ um and then we've got nature so we've,582.18,4.08
231
+ got three sources,583.62,6.18
232
+ um of of data so what I'll do now is I'm,586.26,5.04
233
+ not going to what make you watch me,589.8,3.18
234
+ download everything but now you see how,591.3,5.46
235
+ I've gone about finding this information,592.98,6.419
236
+ um and so then I'll download just a,596.76,5.639
237
+ whole whole mess of this stuff,599.399,5.701
238
+ um and then save it and we'll start to,602.399,4.741
239
+ slice and dice it all right pause it,605.1,4.62
240
+ download stuff we'll be right back okay,607.14,7.139
241
+ and we're back so I downloaded,609.72,7.08
242
+ um about let's see 81,614.279,6.481
243
+ papers so this is obviously 81 research,616.8,6.84
244
+ papers on a variety of topics this is,620.76,4.8
245
+ not a really coherent search strategy,623.64,3.96
246
+ this is just a proof of concept because,625.56,3.66
247
+ this is,627.6,3.66
248
+ um to demonstrate like because this is,629.22,5.28
249
+ an intractable amount of of material,631.26,5.699
250
+ um sure a professional scientist will,634.5,5.76
251
+ probably easily skim through more than,636.959,5.221
252
+ this number while performing a,640.26,4.92
253
+ literature review but imagine that,642.18,6.42
254
+ you've got 2 000 or 10 000 of these that,645.18,4.74
255
+ you need to sift through and get,648.6,3.78
256
+ information from so imagine that in in,649.92,4.38
257
+ your in your citations page instead of,652.38,4.56
258
+ having 30 to 100 what if you have like,654.3,5.4
259
+ 30 000 citations and we can do that,656.94,5.339
260
+ automatically with AI and we can find,659.7,6.66
261
+ them quickly through chat bots so that's,662.279,6.24
262
+ step one was downloading stuff which I,666.36,4.68
263
+ just showed you and then step two is,668.519,4.56
264
+ let's convert it so I have this handy,671.04,3.239
265
+ dandy,673.079,3.841
266
+ um public archive right here,674.279,4.381
267
+ um called document scraping and I've got,676.92,6.18
268
+ a convert PDF file here so what we're,678.66,7.08
269
+ going to do next is we're going to and,683.1,4.02
270
+ I'll show you it's really simpler,685.74,3.839
271
+ convert PDF to text,687.12,4.68
272
+ and it what it'll do is it'll grab,689.579,6.901
273
+ everything in that um in that folder uh,691.8,6.539
274
+ that's a PDF and then dump a text,696.48,4.44
275
+ version out to the uh diff uh to the,698.339,5.041
276
+ next folder and then it it breaks it up,700.92,4.979
277
+ by page so I'll just say new page right,703.38,5.579
278
+ it's not a big deal and this forms a,705.899,6.241
279
+ nice easy way of of seeing it so I'll,708.959,6.861
280
+ show you what it does so CD to chat GPT,712.14,6.36
281
+ regenerative medicine and then we'll do,715.82,5.74
282
+ python step 01 convert,718.5,4.68
283
+ and so what it's doing is it's going,721.56,3.779
284
+ through and converting them one by one,723.18,4.98
285
+ and it's dot it's dropping them here so,725.339,7.641
286
+ you can see here is the information,728.16,4.82
287
+ and obviously this is not going to grab,733.339,4.901
288
+ the um,736.26,3.9
289
+ uh what you may call it it's not going,738.24,4.02
290
+ to grab the the graphics and stuff and,740.16,3.179
291
+ that's fine because we don't have,742.26,3.78
292
+ multimodal models yet apparently gpt4 is,743.339,4.381
293
+ going to be multimodal,746.04,4.979
294
+ um but at least this should give us all,747.72,6.359
295
+ the information that we need in terms of,751.019,6.06
296
+ uh text information so this is running,754.079,5.041
297
+ it'll take a minute,757.079,2.641
298
+ um,759.12,2.76
299
+ obviously very much taking its time so,759.72,3.299
300
+ I'll go ahead and pause it again and,761.88,3.66
301
+ show you the end result Also let's see,763.019,3.901
302
+ we're only at 12 minutes so we'll see,765.54,3.359
303
+ how much further we can get,766.92,4.859
304
+ um yeah we'll be right back,768.899,5.581
305
+ all right so we've got,771.779,6.36
306
+ um we've got 81 text files now I always,774.48,7.62
307
+ check my data and so here's a problem is,778.139,7.561
308
+ um some of the lines uh have no spaces,782.1,5.16
309
+ some of them do some of them don't it's,785.7,4.5
310
+ really weird I don't know if this is a,787.26,5.879
311
+ problem with the with the PDF plumber or,790.2,6.12
312
+ with the underlying PDF itself,793.139,6.121
313
+ um so I I don't know what's going on but,796.32,4.86
314
+ from there,799.26,4.379
315
+ and here like okay you see this one this,801.18,4.38
316
+ one looks like it's formatted fine I'm,803.639,3.301
317
+ not going to delete it because it's like,805.56,3.66
318
+ okay we still want this information and,806.94,3.24
319
+ also,809.22,4.739
320
+ um even if it is uh even if if the,810.18,6.24
321
+ formatting is botched like that as it is,813.959,3.741
322
+ in some cases,816.42,5.159
323
+ gpt3 can still often read these,817.7,6.579
324
+ um so let me just grab this and show you,821.579,4.141
325
+ what I mean,824.279,5.601
326
+ so let's grab this and go to,825.72,4.16
327
+ um and then we say,829.98,3.419
328
+ um,832.32,4.079
329
+ let's see complete,833.399,7.94
330
+ um uh fix the formatting issue,836.399,4.94
331
+ fixed,842.339,2.721
332
+ and so then if we let's see do that up,846.839,6.56
333
+ to 500 zoom out a little,849.6,3.799
334
+ so you can see it can still read it and,853.98,4.02
335
+ add the spaces back in which means that,855.839,4.141
336
+ it can comprehend the um the word,858.0,4.44
337
+ boundary problems,859.98,5.64
338
+ um so yeah gpt3 can understand it it's,862.44,5.459
339
+ honestly probably been trained on a lot,865.62,5.399
340
+ of data that is malformed like this,867.899,5.101
341
+ um so it's fine,871.019,4.5
342
+ um yeah that's good so now let's come,873.0,4.8
343
+ over here and what we're going to do is,875.519,4.32
344
+ we need to convert this these text files,877.8,3.68
345
+ into something that's usable,879.839,5.041
346
+ so one of the advantages of having new,881.48,5.32
347
+ page right here is that we can open open,884.88,4.98
348
+ it and then split it into,886.8,5.76
349
+ um into individual Pages again that are,889.86,4.32
350
+ text so we're going to do is we're going,892.56,3.959
351
+ to have a folder called Paint whoops,894.18,5.459
352
+ papers underscore Json,896.519,6.12
353
+ and now I'm going to ask chat GPT,899.639,5.601
354
+ um write a python script,902.639,6.961
355
+ that uh opens all,905.24,7.959
356
+ uh no let's see that yeah that opens all,909.6,7.2
357
+ text files from the folder,913.199,6.32
358
+ um papers underscore text,916.8,8.339
359
+ splits them into a list of strings,919.519,8.461
360
+ with the demarcator,925.139,5.82
361
+ new page,927.98,7.799
362
+ then take each page and get an embedding,930.959,10.261
363
+ by passing the string to a function that,935.779,7.781
364
+ I call,941.22,4.82
365
+ um let's see,943.56,6.139
366
+ gpt3 embedding,946.04,3.659
367
+ to a function called,952.26,5.879
368
+ gpt3 embedding,955.16,4.9
369
+ um,958.139,3.621
370
+ finally,960.06,4.5
371
+ let's see save,961.76,8.5
372
+ uh all of that into a Json file,964.56,7.76
373
+ um,970.26,2.06
374
+ one Json file for each original,972.54,7.94
375
+ text file,977.0,3.48
376
+ the Json should have,981.56,4.66
377
+ um,985.139,3.301
378
+ elements such as,986.22,3.84
379
+ original,988.44,8.1
380
+ file name and then a list of pages where,990.06,12.0
381
+ each page has a number,996.54,8.82
382
+ which order it was,1002.06,6.899
383
+ um the original text,1005.36,7.26
384
+ and finally the embedding,1008.959,5.82
385
+ um okay so that should be enough sure,1012.62,5.399
386
+ here's a python script wow it's fast I,1014.779,6.12
387
+ guess nobody else is using it right now,1018.019,4.32
388
+ um okay,1020.899,4.861
389
+ Pages embeddings gpt3 embed page for,1022.339,7.561
390
+ page and Page oh wow okay that's fun,1025.76,6.199
391
+ um yep original file name file name,1029.9,5.899
392
+ Pages equals I plus one text Page,1031.959,6.521
393
+ embedding to list for I and Page,1035.799,4.961
394
+ embedding enumerate zip pages,1038.48,5.76
395
+ dang I think this is it,1040.76,5.539
396
+ um,1044.24,2.059
397
+ [Laughter],1046.52,5.7
398
+ this function is wrong but that's fine,1048.7,7.18
399
+ um yep okay so let's copy this and come,1052.22,5.1
400
+ out here,1055.88,4.58
401
+ all right so let's get rid of,1057.32,6.3
402
+ those guys,1060.46,6.339
403
+ all right so for file name in OS Lister,1063.62,4.98
404
+ dur path,1066.799,4.681
405
+ and dur path is here so we actually want,1068.6,5.939
406
+ to make this a function,1071.48,7.26
407
+ um let's see that's great but let's make,1074.539,6.481
408
+ the um,1078.74,8.22
409
+ the for file name in durpath a function,1081.02,10.92
410
+ and then call it from if name,1086.96,7.68
411
+ equals,1091.94,4.8
412
+ Main,1094.64,4.76
413
+ all right,1096.74,2.66
414
+ so process text it's defining a function,1100.46,6.06
415
+ within that doesn't make any sense,1103.64,8.0
416
+ that is what it's fine,1106.52,5.12
417
+ yep uh or let's see no stop stop stop,1112.94,8.52
418
+ um let's remove the uh,1117.62,7.86
419
+ gbd3 embedding function from being,1121.46,8.82
420
+ nested inside another function,1125.48,8.66
421
+ um that is not pep 8,1130.28,9.08
422
+ approved at least I don't think so,1134.14,5.22
423
+ sure here's an updated yep,1141.38,5.039
424
+ and so basically I'm just going to,1145.039,2.52
425
+ ignore that,1146.419,4.081
426
+ um because I wrote that function else,1147.559,8.581
427
+ wise okay so for this in that etc etc,1150.5,8.48
428
+ there we go,1156.14,2.84
429
+ and then,1160.4,2.96
430
+ uh let's see oh one problem,1163.4,4.68
431
+ one more problem,1165.86,6.0
432
+ um the output directory needs to be,1168.08,9.5
433
+ specified as papers underscore Json,1171.86,5.72
434
+ and see this is why I don't like using,1179.24,3.96
435
+ um,1182.539,3.301
436
+ uh copilot because you don't have a,1183.2,4.859
437
+ dialogue right it's just guessing what,1185.84,4.8
438
+ you want and then what I can do is I can,1188.059,3.601
439
+ just look,1190.64,4.34
440
+ at this and say okay,1191.66,3.32
441
+ why is it not allowing me to,1195.32,5.78
442
+ pass,1198.38,2.72
443
+ uh,1201.86,2.36
444
+ papers Json,1205.82,5.64
445
+ I'll pass okay,1208.4,3.779
446
+ um,1211.46,4.98
447
+ why is the out path hard coded and not,1212.179,6.301
448
+ parameterized,1216.44,6.38
449
+ does that make any sense to you,1218.48,4.34
450
+ [Laughter],1224.86,4.06
451
+ I'm way too passive aggressive with this,1228.98,4.64
452
+ thing I apologize,1230.84,2.78
453
+ there was an error generating a response,1236.299,4.041
454
+ I'm,1240.559,2.661
455
+ no do not,1244.16,3.36
456
+ so here's the thing when you do,1245.96,3.959
457
+ regenerate and it just continues no stop,1247.52,4.62
458
+ stop stop because then it's broken up,1249.919,4.14
459
+ into two so what I'm going to do instead,1252.14,4.26
460
+ is I'm going to come here and just one,1254.059,4.5
461
+ remove the saltiness,1256.4,4.44
462
+ um please fix,1258.559,5.041
463
+ and let's start over good catch,1260.84,6.48
464
+ so uh,1263.6,6.78
465
+ open AI maybe you can have it as a as a,1267.32,5.88
466
+ setting but honestly if there's an error,1270.38,5.159
467
+ I would rather it just like save what it,1273.2,5.16
468
+ did and then pipe that in I don't know,1275.539,4.621
469
+ like yeah,1278.36,3.78
470
+ there we go,1280.16,5.28
471
+ much better okay so let's copy this,1282.14,6.62
472
+ and come back over here,1285.44,3.32
473
+ um we don't need that function so,1290.12,4.32
474
+ basically what I did here is I copied a,1292.7,4.02
475
+ few functions from another script,1294.44,5.4
476
+ so here's my embedding one oh because,1296.72,5.699
477
+ we're using data from the internet I,1299.84,4.86
478
+ always do this where I force it I encode,1302.419,4.921
479
+ it to ASCII and then decode and that,1304.7,5.04
480
+ fixes Unicode errors because,1307.34,5.819
481
+ um gpt3 often does not do well with some,1309.74,5.34
482
+ forms of Unicode I still haven't figured,1313.159,3.661
483
+ it out maybe it's not even an issue,1315.08,4.14
484
+ anymore but if it is it's still out,1316.82,5.4
485
+ there okay so if it doesn't exist make,1319.22,6.36
486
+ it great for file name and Os Lister if,1322.22,6.48
487
+ it ends with DOT text that's great split,1325.58,6.479
488
+ it into Pages embed it and then here's,1328.7,5.219
489
+ the output so we get all the pages,1332.059,4.321
490
+ excellent,1333.919,4.681
491
+ um I'm just going to trust that this,1336.38,4.26
492
+ works,1338.6,4.86
493
+ um because I respond with this so the,1340.64,5.1
494
+ vector I don't think it's a numpy array,1343.46,4.8
495
+ so that's fine embedding to list I think,1345.74,4.14
496
+ it's all ready,1348.26,4.14
497
+ yeah,1349.88,6.299
498
+ so embeddings equals so this is already,1352.4,5.82
499
+ a list I believe so I think this will,1356.179,5.661
500
+ break that's fine,1358.22,3.62
501
+ and then we zip the pages and embeddings,1361.88,4.7
502
+ oh interesting okay,1367.46,3.98
503
+ we'll see if this is formatted correctly,1369.679,5.761
504
+ and then let's see save it,1371.44,5.979
505
+ so it just replaces the file name that's,1375.44,4.08
506
+ good,1377.419,4.921
507
+ um with OS but I actually already have a,1379.52,5.039
508
+ save Json thing so we just have the file,1382.34,4.56
509
+ path and the payload and in this one I,1384.559,5.761
510
+ specify ensure ASCII false sort key is,1386.9,5.639
511
+ true and then indent so this formats it,1390.32,4.02
512
+ nice and pretty,1392.539,3.901
513
+ um so what we'll do instead,1394.34,4.38
514
+ is we'll comment this out and then we'll,1396.44,3.239
515
+ just do,1398.72,4.68
516
+ save Json and what is the order I have,1399.679,6.48
517
+ it file path and payload,1403.4,5.1
518
+ um so then the file path,1406.159,5.161
519
+ is,1408.5,5.6
520
+ this guy,1411.32,2.78
521
+ and then the payload is,1418.22,6.14
522
+ output dict,1421.22,3.14
523
+ yes,1425.24,2.66
524
+ all right so that should be good now if,1429.14,5.46
525
+ name equals main etc etc so what I want,1431.659,5.581
526
+ to do next is add a little bit of debug,1434.6,5.9
527
+ I want to see what it's doing,1437.24,3.26
528
+ um so what we'll do is,1441.08,4.04
529
+ hmm,1446.299,4.021
530
+ I guess this is just going to be messy,1448.159,4.02
531
+ no matter what we do,1450.32,4.2
532
+ um so let's add an embedding let's add,1452.179,5.181
533
+ some output here,1454.52,2.84
534
+ um,1458.24,3.2
535
+ so we'll do print,1459.26,5.22
536
+ content to embed,1461.44,6.719
537
+ and then we'll do content,1464.48,3.679
538
+ and then we'll print,1468.799,4.641
539
+ vector,1470.72,2.72
540
+ Vector all right so that way we'll be,1475.28,5.399
541
+ able to see it embedding as it goes,1477.38,6.48
542
+ um and that should be fine and then yeah,1480.679,4.5
543
+ that'll be fine,1483.86,4.26
544
+ all right so let's save this and come,1485.179,8.0
545
+ over here so python step O2,1488.12,5.059
546
+ um hey look we had it we had a we had a,1494.78,7.62
547
+ an issue Unicode decode error okay in uh,1497.72,7.86
548
+ text F read oh yep,1502.4,6.139
549
+ so here we go,1505.58,2.959
550
+ all right so I'm gonna ask I I know what,1511.22,3.36
551
+ the problem is but I'm gonna ask chat,1513.38,6.2
552
+ GPT got an error can you fix it,1514.58,5.0
553
+ there we go,1527.179,2.721
554
+ dude so basically it's it's pretty,1532.34,5.16
555
+ simple all you have to do,1535.76,5.039
556
+ is specify,1537.5,6.12
557
+ make sure those are spaces okay yes so,1540.799,6.24
558
+ you specify the encoding is utf-8,1543.62,5.22
559
+ um and so now it knows better all right,1547.039,4.081
560
+ so let's try that again,1548.84,4.56
561
+ that,1551.12,5.58
562
+ that should not go that fast,1553.4,5.42
563
+ um,1556.7,2.12
564
+ okay so the fact that it's going that,1562.22,3.78
565
+ fast and it's not outputting the vector,1564.14,5.039
566
+ means that it's barfing somewhere here,1566.0,5.58
567
+ so let's,1569.179,4.62
568
+ comment out this because it's probably,1571.58,4.979
569
+ returning none,1573.799,5.161
570
+ um which I had I had that uh because,1576.559,3.781
571
+ there was another project that I was,1578.96,2.459
572
+ working on where some of the things,1580.34,3.56
573
+ failed,1581.419,2.481
574
+ always use notepad,1585.86,5.46
575
+ um let's see embedding null yeah so you,1588.98,5.88
576
+ see it was not embedding so let's,1591.32,6.68
577
+ delete these,1594.86,3.14
578
+ it worked mostly,1598.159,3.081
579
+ let me close these because they're,1602.059,4.021
580
+ Superfluous and let's see why it's,1603.38,5.299
581
+ blowing up,1606.08,2.599
582
+ oh,1611.26,5.32
583
+ you need an API key what do you mean I,1613.059,5.261
584
+ need an API key here let me fix this,1616.58,3.9
585
+ I'll be right back,1618.32,4.32
586
+ okay I think I fixed it so I added this,1620.48,4.799
587
+ here and then I copied my git ignore and,1622.64,5.82
588
+ API key right here so we should be good,1625.279,5.581
589
+ let's give it a one last try and also I,1628.46,4.199
590
+ did a time check we're at almost 30,1630.86,4.62
591
+ minutes so this will probably be it for,1632.659,4.861
592
+ today but we're off to a pretty good,1635.48,4.439
593
+ start if I do say so myself,1637.52,4.98
594
+ all right so let's do let's try and do,1639.919,4.921
595
+ some embeddings that's still seen oh,1642.5,4.5
596
+ nope it's just that fast look at that,1644.84,4.819
597
+ look at that,1647.0,2.659
598
+ um all right so let's take a look at the,1649.7,4.16
599
+ output,1651.5,2.36
600
+ oops all right so the embedding,1658.22,4.579
601
+ so for each page we get embedding page,1663.02,5.639
602
+ number text embedding page number text,1666.44,4.5
603
+ and then we we keep the original file,1668.659,4.201
604
+ name as well,1670.94,3.96
605
+ um and so this by using this we can,1672.86,3.96
606
+ trace it back to the original PDF as,1674.9,3.6
607
+ well because we're going to basically,1676.82,4.2
608
+ need to be able to cite our sources,1678.5,5.1
609
+ um all right cool so this is tearing,1681.02,4.44
610
+ through this,1683.6,3.179
611
+ um let's see make sure it hasn't blown,1685.46,3.839
612
+ up all right it's still going and so you,1686.779,3.9
613
+ see basically what we're doing is we're,1689.299,3.421
614
+ getting one embedding for every single,1690.679,4.561
615
+ page now there's a lot more that we're,1692.72,5.16
616
+ going to need to do,1695.24,4.799
617
+ um in order to make this usable because,1697.88,4.02
618
+ some of these are like 80 pages long,1700.039,4.921
619
+ which is way too much for it to read so,1701.9,5.1
620
+ then it's like okay well if you search,1704.96,4.38
621
+ it based on the embedding that'll get,1707.0,4.02
622
+ you close but then what else do you do,1709.34,3.839
623
+ there's a lot of problems to solve but,1711.02,4.38
624
+ the fact of the matter is this is going,1713.179,4.801
625
+ to give us basically a super Advanced,1715.4,6.72
626
+ chat based scientific search engine now,1717.98,6.48
627
+ because I'm also working on cognitive,1722.12,4.08
628
+ architecture we can have it do a lot of,1724.46,3.36
629
+ thinking for you in the background,1726.2,3.839
630
+ that's going to be the real game changer,1727.82,4.26
631
+ not just a chat bot that allows you to,1730.039,3.601
632
+ search but a chat bot that you can ask,1732.08,3.78
633
+ at scientific questions and it will go,1733.64,5.159
634
+ think about the problem for you,1735.86,5.4
635
+ um so I'm going to let this finish I'm,1738.799,3.661
636
+ going to go ahead and stop the recording,1741.26,4.08
637
+ and we'll come back tomorrow for part,1742.46,6.68
638
+ two thanks for watching,1745.34,3.8
ChatGPT API with Salience and Anticipation of User Needs Towards a fully autonomous assistant_transcript.csv ADDED
@@ -0,0 +1,601 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everyone David Shapiro here with a,0.599,5.341
3
+ video today's video is going to cover,3.48,6.0
4
+ the concept of one salience and two,5.94,5.579
5
+ anticipating user needs before the user,9.48,3.779
6
+ knows what they need,11.519,3.481
7
+ um but before we dive in I've got a,13.259,4.561
8
+ couple of announcements to make so one,15.0,4.92
9
+ um there is a subreddit that I and a,17.82,4.08
10
+ couple other folks that are experts on,19.92,4.439
11
+ artificial cognition or an autonomous,21.9,5.82
12
+ cognitive entities have created it's R,24.359,6.42
13
+ artificial sentience so if you want to,27.72,5.999
14
+ start uh having conversations and jump,30.779,5.28
15
+ in uh please feel free to do so it's,33.719,5.52
16
+ public uh beginners are welcome,36.059,5.701
17
+ um basically now that the concepts of,39.239,4.561
18
+ cognitive architectures and autonomous,41.76,4.2
19
+ cognitive entities are taking off,43.8,3.9
20
+ I'm taking my hands off the steering,45.96,3.18
21
+ wheel right I've done my part I've,47.7,3.539
22
+ popularized the idea I'm starting the,49.14,4.56
23
+ conversation and now it's time for,51.239,4.561
24
+ everyone to get involved so this is our,53.7,5.22
25
+ subreddit artificial sentience,55.8,5.34
26
+ um a quick update on Raven,58.92,4.08
27
+ um which is my artificial cognitive,61.14,3.78
28
+ entity project,63.0,6.6
29
+ um we have moved to the um to the third,64.92,7.26
30
+ stage of creating,69.6,6.059
31
+ um consensus so we're drafting proposals,72.18,6.36
32
+ um so I we we listed um you know the,75.659,5.46
33
+ decision criteria I made a proposal,78.54,4.2
34
+ we're getting feedback on it another,81.119,3.721
35
+ person made a proposal and we'll start,82.74,3.78
36
+ working on doing feedback so we're,84.84,4.56
37
+ workshopping the consensus mechanism and,86.52,5.94
38
+ again uh creating autonomous machines,89.4,4.68
39
+ that can think and decide on their own,92.46,3.839
40
+ the stakes are way too high for it to be,94.08,5.399
41
+ done completely behind closed doors,96.299,4.86
42
+ um and so that's why we're doing this,99.479,3.301
43
+ and the first thing that you need to do,101.159,4.201
44
+ with any project is decide how the,102.78,4.979
45
+ governance is going to be now,105.36,4.5
46
+ um really big update for me personally I,107.759,4.261
47
+ have decided to leave,109.86,4.86
48
+ um my startup so I'm going to take the,112.02,6.419
49
+ rest of 2023 off I'm not going to do any,114.72,6.78
50
+ startups no full-time jobs nothing I am,118.439,6.601
51
+ going to focus on uh primarily finishing,121.5,5.939
52
+ my novel which includes amongst other,125.04,7.62
53
+ things Ai and then uh other AI stuff you,127.439,8.101
54
+ know YouTube patreon that sort of thing,132.66,4.439
55
+ um so this is my full-time thing so,135.54,4.14
56
+ because of that I really need to ask for,137.099,6.301
57
+ y'all's help with support on patreon,139.68,6.059
58
+ so I'm doing this full time I'm,143.4,4.74
59
+ organizing meetups I'm organizing online,145.739,5.341
60
+ communities so on and so forth and uh so,148.14,5.099
61
+ yeah every little bit helps the average,151.08,5.04
62
+ supporter I think is about 15 a month so,153.239,4.561
63
+ most people are somewhere between the 10,156.12,4.08
64
+ and 20 a month support but every little,157.8,4.56
65
+ bit helps I've got over 20 000,160.2,4.56
66
+ subscribers and less than 400 supporters,162.36,4.5
67
+ on patreon so some of y'all could jump,164.76,4.08
68
+ over onto patreon that would be a really,166.86,4.32
69
+ big help and then furthermore if you,168.84,5.399
70
+ want some one-on-one help either via,171.18,5.58
71
+ chat email and I try and avoid Zoom just,174.239,4.621
72
+ because Zoom fatigue is real,176.76,3.54
73
+ um that being said sometimes a,178.86,4.56
74
+ conversation is necessary if you sign up,180.3,5.04
75
+ for a higher tier I'm happy to jump on a,183.42,3.72
76
+ call with you and your team in fact I've,185.34,4.44
77
+ got a couple calls later today,187.14,4.92
78
+ um anyways so with all that out of the,189.78,5.039
79
+ way I'm working on this concept of,192.06,5.039
80
+ salience so here's the repo chat GPT,194.819,4.801
81
+ underscore API underscore salience,197.099,5.581
82
+ so this is a concept from neuroscience,199.62,5.399
83
+ and it is it is one of the primary,202.68,4.62
84
+ attention mechanisms that happens in our,205.019,5.161
85
+ brains and if you look this up you're,207.3,5.04
86
+ probably not going to find anything in,210.18,4.559
87
+ in like the Neuroscience literature this,212.34,3.96
88
+ is an emergent property that I've,214.739,3.241
89
+ noticed from having read a whole bunch,216.3,3.78
90
+ of neuroscience and psychology,217.98,4.56
91
+ and so basically what happens is as,220.08,4.019
92
+ you're having a conversation or,222.54,3.839
93
+ listening or working on something your,224.099,4.56
94
+ brain is forming like a basically a,226.379,4.681
95
+ Knowledge Graph around the most Salient,228.659,4.8
96
+ points of what you're working on so say,231.06,5.22
97
+ for instance I'm uh working on a chat,233.459,4.321
98
+ bot so the most Salient thing that I'm,236.28,3.78
99
+ working on is what is the goal that I,237.78,5.039
100
+ have here and what is the um what what,240.06,4.2
101
+ am I currently working on are the,242.819,4.92
102
+ problems that I'm facing so salience is,244.26,5.699
103
+ um in in humans there's a few there's a,247.739,4.86
104
+ few things there's tasks aliens so tasks,249.959,4.86
105
+ alien says okay what information is most,252.599,4.2
106
+ relevant to the task that I'm doing,254.819,4.32
107
+ there's also emotional salience or,256.799,5.461
108
+ emotional content so this is this our,259.139,4.981
109
+ memories are organized primarily around,262.26,3.659
110
+ emotional valence,264.12,4.32
111
+ and surveillance is the energy level and,265.919,4.621
112
+ then disposition is the direction or the,268.44,3.66
113
+ kind of emotion is it positive or,270.54,2.939
114
+ negative,272.1,4.08
115
+ um and so emotional salience is is how,273.479,5.28
116
+ we uh prioritize memories which is why,276.18,4.92
117
+ you remember stressful events more than,278.759,4.741
118
+ just ordinary daily events because your,281.1,4.379
119
+ emotions are a heuristic that allows,283.5,3.66
120
+ your brain to say oh this was important,285.479,3.78
121
+ because we were scared this is important,287.16,4.979
122
+ because we were angry or whatever now,289.259,4.921
123
+ tasks aliens is more about cognitive,292.139,4.681
124
+ control and cognitive control is Task,294.18,5.459
125
+ selection which is which task do I do I,296.82,4.62
126
+ choose to do and then task switching,299.639,4.321
127
+ which is when you need to change tasks,301.44,4.74
128
+ so cognitive control is one of the,303.96,3.66
129
+ primary things that we need to figure,306.18,3.54
130
+ out in order to have autonomous,307.62,4.2
131
+ cognitive entities or cognitive,309.72,4.62
132
+ architectures and salience and this is,311.82,4.2
133
+ why I'm doing a video an entire video,314.34,5.82
134
+ about salience is how we do that so,316.02,7.32
135
+ you guys have probably seen the Wolfram,320.16,5.94
136
+ Alpha video right where there it has,323.34,5.22
137
+ task selection using I think Lang chain,326.1,4.8
138
+ where it says okay given this array of,328.56,4.979
139
+ tools that I have how do I which tool do,330.9,4.68
140
+ I choose right and there's also papers,333.539,5.22
141
+ out there about how um large language,335.58,5.58
142
+ models can actually learn to use apis on,338.759,4.261
143
+ the Fly which is really cool so they're,341.16,3.78
144
+ learning on the Fly they can do task,343.02,4.14
145
+ selection but then how do you how do you,344.94,4.8
146
+ do task switching how do you know what,347.16,4.5
147
+ to focus on and that is the concept of,349.74,5.94
148
+ salience so I tried,351.66,6.9
149
+ Visual Studio code and I hate it I keep,355.68,6.18
150
+ telling y'all I hate Ides I also tried,358.56,5.16
151
+ GitHub Code Pilot and I hate it too,361.86,4.02
152
+ because it's really dumb it has no idea,363.72,3.6
153
+ what I'm doing because the stuff that,365.88,3.72
154
+ I'm working on is like so novel and so,367.32,3.719
155
+ it keeps suggesting stuff that's not,369.6,3.06
156
+ really relevant and it's not really,371.039,3.781
157
+ picking up what I'm putting down so I'm,372.66,4.62
158
+ going to switch off of visual studio and,374.82,3.54
159
+ I'm just going to go back to notepad,377.28,2.46
160
+ plus plus I know you guys think I'm,378.36,3.839
161
+ completely crazy but you know what it,379.74,4.98
162
+ works for me and anyways so here's what,382.199,4.44
163
+ we've got this is a really simple script,384.72,4.62
164
+ that will serve as a chat bot and will,386.639,5.221
165
+ demonstrate the concept of salience so,389.34,5.16
166
+ I'm also switching over to the chat GPT,391.86,5.52
167
+ API so if you come over here here's the,394.5,5.46
168
+ here's the documentation the endpoint,397.38,5.4
169
+ you call it super simple there's only,399.96,5.28
170
+ two things to know about it one is the,402.78,6.24
171
+ model GPT 3.5 turbo and,405.24,5.16
172
+ um they have this little note here that,409.02,4.019
173
+ says the the turbo 0301 so that's the,410.4,4.739
174
+ March 1st version doesn't pay much,413.039,4.861
175
+ attention to system and it looks like,415.139,4.381
176
+ they they are going to do that so open,417.9,3.78
177
+ AI what you might consider doing is,419.52,4.86
178
+ adding a lever here where we we get we,421.68,4.44
179
+ put a weight so that we can call like,424.38,3.48
180
+ the temperature or whatever I don't know,426.12,3.06
181
+ if it's possible depending on how you're,427.86,3.839
182
+ fine-tuning it but if you have like you,429.18,4.139
183
+ know how how much do you want to pay,431.699,4.801
184
+ attention to the system uh role you know,433.319,4.561
185
+ anyways,436.5,3.78
186
+ so there's a model which I'm going to,437.88,4.8
187
+ stick with the GPT 3.5 turbo because I,440.28,4.02
188
+ want it to really pay attention to the,442.68,4.2
189
+ system and then then you have a messages,444.3,4.679
190
+ payload which is a list of dictionaries,446.88,4.74
191
+ and there's three kinds of roles there's,448.979,4.921
192
+ the system role there's the user and,451.62,4.68
193
+ then there's the assistant so it's nice,453.9,4.199
194
+ and clean very straightforward so that's,456.3,3.179
195
+ what we're working on,458.099,4.081
196
+ and then the last thing I have to show,459.479,5.041
197
+ you before we get started is the two,462.18,5.1
198
+ prompts that one try and anticipate the,464.52,6.179
199
+ user needs ahead of time and two assess,467.28,5.16
200
+ the salience so they're pretty,470.699,3.301
201
+ straightforward first is given the,472.44,2.759
202
+ following chat log this is the,474.0,4.259
203
+ anticipation prompt infer the user's,475.199,5.22
204
+ actual information needs attempts to,478.259,3.66
205
+ anticipate what the user truly needs,480.419,2.761
206
+ even if the user does not fully,481.919,3.481
207
+ understand it yet themselves and let's,483.18,5.4
208
+ change this um or is asking,485.4,5.16
209
+ um the wrong questions,488.58,5.04
210
+ so a lot of people that I have talked to,490.56,7.74
211
+ have observed particularly chat GPT is,493.62,6.9
212
+ really good at taking just a few data,498.3,3.839
213
+ points and inferring what you actually,500.52,5.16
214
+ need and so what we can do is if we have,502.139,5.28
215
+ the model if we actually explicitly tell,505.68,3.54
216
+ the model figure out what the user needs,507.419,4.441
217
+ there was another paper that showed that,509.22,5.46
218
+ large language models like gpt3 already,511.86,6.119
219
+ have theory of mind the paper said that,514.68,5.219
220
+ the theory of mine seems to have been an,517.979,4.321
221
+ emergent property given the number of,519.899,3.901
222
+ parameters and the amount of training,522.3,5.4
223
+ data so if we just tell it anticipate,523.8,5.099
224
+ what the user needs figure out what's,527.7,3.42
225
+ going on in the user's head it can do,528.899,2.94
226
+ that,531.12,2.1
227
+ um more often than not it's not always,531.839,3.901
228
+ going to be 100 accurate but just wait,533.22,4.799
229
+ and see you'll see how crazy um how,535.74,3.96
230
+ crazy prescient it is,538.019,3.301
231
+ and then finally,539.7,3.6
232
+ um salience so given the following chat,541.32,3.959
233
+ log Write a brief sailor brief summary,543.3,3.78
234
+ of only the most Salient points of the,545.279,4.081
235
+ conversation so rather than summarizing,547.08,4.5
236
+ the entire thing we're going to allow,549.36,3.9
237
+ the language model to use its,551.58,3.54
238
+ intelligence to say this is this is the,553.26,4.259
239
+ bit that we that we carry about,555.12,5.76
240
+ um so we'll do this uh and and there you,557.519,5.76
241
+ there you have it so the other the the,560.88,3.84
242
+ chat script itself is super,563.279,3.06
243
+ straightforward it just takes the user,564.72,3.6
244
+ input then we'll feed the conversation,566.339,4.44
245
+ into the anticipation and salience and,568.32,4.8
246
+ then we'll update the system variable,570.779,4.081
247
+ um and so then I've got all the logs,573.12,4.44
248
+ saved out to here so I've already got a,574.86,5.099
249
+ conversation going so,577.56,4.5
250
+ um let me bring you up to speed and said,579.959,4.141
251
+ hey I need your um,582.06,4.5
252
+ I need your help planning out my day and,584.1,5.58
253
+ so then uh behind the scenes it says the,586.56,4.38
254
+ user likely needs help with time,589.68,4.2
255
+ management and organization so they may,590.94,4.74
256
+ need help with prioritizing tasks,593.88,3.72
257
+ setting goals and creating a schedule so,595.68,4.2
258
+ in this case you can see that just just,597.6,5.22
259
+ by this input it anticipated okay this,599.88,4.8
260
+ is what I think you need,602.82,4.38
261
+ um and then it added the evaluation so I,604.68,4.64
262
+ modified the prompt to get rid of that,607.2,4.62
263
+ but it's really interesting the the,609.32,4.36
264
+ user's actual information needs are not,611.82,4.26
265
+ directly related to the ai's goals but,613.68,4.08
266
+ the AI can still provide assistance the,616.08,3.42
267
+ AI can provide resources and advice to,617.76,3.3
268
+ help the user plan out their day so,619.5,3.899
269
+ again super relevant I want to figure,621.06,3.839
270
+ out some prompt engineering to get that,623.399,3.741
271
+ or maybe break it down into parallel,624.899,4.681
272
+ anyways salience the user is looking for,627.14,4.42
273
+ help planning out their day and they are,629.58,3.78
274
+ interacting with an AI named Raven which,631.56,3.06
275
+ has three goals reduced suffering,633.36,2.46
276
+ increased prosperity and increase,634.62,3.6
277
+ understanding so again if you have a,635.82,4.38
278
+ fully autonomous machine,638.22,4.679
279
+ part of autonomy or agency is that you,640.2,4.98
280
+ have your own goals now that being said,642.899,4.44
281
+ we don't want the AI to be able to,645.18,4.14
282
+ create all of its goals from scratch,647.339,4.74
283
+ with in a total vacuum we want it to,649.32,4.98
284
+ have some intrinsic goals and so these,652.079,4.081
285
+ intrinsic goals are the core objective,654.3,3.539
286
+ functions reduce suffering increase,656.16,3.179
287
+ prosperity and increase understanding,657.839,4.62
288
+ are the universal guard rails that will,659.339,5.761
289
+ keep the chat Bots honest and benevolent,662.459,4.56
290
+ so then finally the output hi there I'd,665.1,3.72
291
+ be happy to help you plan your day what,667.019,4.141
292
+ do you have planned so far so do you see,668.82,3.959
293
+ how the tone of this is very different,671.16,4.38
294
+ from normal chat GPT,672.779,4.68
295
+ um it's very clear that it understands,675.54,3.78
296
+ like oh hey I'm having a conversation,677.459,4.681
297
+ and I said nothing I need your help and,679.32,5.579
298
+ it says okay the uh I updated the prompt,682.14,4.139
299
+ and it said the user likely needs help,684.899,2.761
300
+ with time management they may need help,686.279,2.881
301
+ prioritizing tasks setting goals,687.66,3.6
302
+ creating a schedule breaking down tasks,689.16,3.6
303
+ into smaller more manageable chunks,691.26,3.0
304
+ creating a timeline additionally they,692.76,2.819
305
+ may need to help identifying and,694.26,3.72
306
+ utilizing resources salience the user is,695.579,3.601
307
+ looking for out planning their day and,697.98,3.419
308
+ interacting with Raven the AI can,699.18,4.02
309
+ provide resources and so then finally,701.399,3.841
310
+ Raven's output so I have this as debug,703.2,4.259
311
+ right this would be hidden and what I,705.24,3.719
312
+ wanted to do is show that I'm not the,707.459,3.06
313
+ only one working on this this is what,708.959,3.661
314
+ Bing does behind the scene so I ask,710.519,3.841
315
+ being how does a chatbot work and it,712.62,3.48
316
+ says how does a chat bot work and then,714.36,3.0
317
+ there's a few other things it has like,716.1,3.479
318
+ internal monologue I'm not going to try,717.36,4.44
319
+ and jailbreak it because like if you,719.579,4.621
320
+ want to see people jailbreaking chat GPT,721.8,4.62
321
+ and Bing go for horrifying I'm telling,724.2,4.62
322
+ you how to actually build it yourself,726.42,3.72
323
+ um why because I wrote the book on it,728.82,3.3
324
+ literally,730.14,3.42
325
+ anyways,732.12,3.0
326
+ um okay Raven sure we can start by,733.56,3.06
327
+ breaking your down your day down into,735.12,3.54
328
+ different tasks or activities first what,736.62,3.24
329
+ are some tasks that you need to,738.66,4.14
330
+ accomplish today so do you see how um,739.86,5.58
331
+ all of these ideas are kind of,742.8,4.56
332
+ transmuted into the into a very,745.44,4.32
333
+ conversational output first what are,747.36,3.659
334
+ some tasks are there any important,749.76,3.0
335
+ deadlines or appointments you need to,751.019,4.621
336
+ keep I'll say yes whoops,752.76,4.74
337
+ um darn it,755.64,3.54
338
+ hang on my keyboard's a little off,757.5,3.6
339
+ center that's why I'm typing wonky there,759.18,3.719
340
+ we go okay,761.1,2.88
341
+ um yes,762.899,4.981
342
+ um I have a meeting with a patreon,763.98,8.94
343
+ supporter and that's it I'm also pretty,767.88,9.0
344
+ tired because I've been working hard,772.92,7.979
345
+ okay so rather than like you've probably,776.88,6.36
346
+ seen me do other videos where,780.899,4.021
347
+ interacting with Chad GPT you have to be,783.24,3.659
348
+ really specific about what you want and,784.92,4.26
349
+ give it guard rails but I'm asking it to,786.899,4.5
350
+ do that for me,789.18,4.98
351
+ um wow okay okay great let's prioritize,791.399,4.261
352
+ the meeting with the patreon since that,794.16,2.94
353
+ speed seems to be the most important,795.66,3.06
354
+ task to ensure you are well rested for,797.1,3.479
355
+ the meeting let's plan on some rest for,798.72,4.02
356
+ your schedule okay wake up shower,800.579,3.841
357
+ breakfast work on important project that,802.74,3.96
358
+ requires Focus oh wow this is actually,804.42,3.96
359
+ this literally I am in the middle of,806.7,4.92
360
+ this look at this it is 9am and Raven,808.38,5.34
361
+ says work on an important project that's,811.62,3.36
362
+ what I'm doing,813.72,2.88
363
+ um take a short break to recharge,814.98,3.72
364
+ schedule a nap lunch break to,816.6,3.66
365
+ re-energize take care of household,818.7,4.439
366
+ chores prepare for the meeting so he,820.26,5.16
367
+ made made some wrong assumptions,823.139,4.88
368
+ um uh the meeting is actually around,825.42,5.039
369
+ noon I think,828.019,3.781
370
+ um,830.459,4.811
371
+ but uh but this is really good,831.8,4.18
372
+ [Music],835.27,1.569
373
+ um,835.98,5.299
374
+ what should I have for lunch,836.839,4.44
375
+ all right so let's see what it says,841.68,3.779
376
+ anticipation uh creating a schedule that,843.24,4.62
377
+ fits okay they may need help finding and,845.459,4.141
378
+ planning eating healthy options for,847.86,4.02
379
+ lunch excellent the user is looking for,849.6,3.9
380
+ help okay so you see this is just,851.88,3.78
381
+ updating the salience,853.5,4.44
382
+ um as it goes and we're probably going,855.66,4.02
383
+ to run out of tokens here because the um,857.94,3.36
384
+ here let me show you the logs that it's,859.68,3.48
385
+ building,861.3,3.599
386
+ there we go,863.16,4.799
387
+ um all right so whoops come back,864.899,5.461
388
+ all right I accidentally hit enter darn,867.959,3.301
389
+ it,870.36,2.4
390
+ sorry it looks like your response got,871.26,5.46
391
+ caught off oh wow wow okay cool,872.76,5.759
392
+ um interesting interesting so it's,876.72,3.54
393
+ actually pretty smart,878.519,2.88
394
+ um all right so let's let me show you,880.26,3.24
395
+ what this looks like so here's the chat,881.399,4.201
396
+ log you can see the the system is,883.5,4.62
397
+ getting longer and longer so we might,885.6,4.32
398
+ need to clean that up,888.12,4.2
399
+ um and also as the output gets longer so,889.92,4.2
400
+ we're at we're only at 5 300 characters,892.32,4.56
401
+ which is not that much actually,894.12,6.06
402
+ um but yeah so then let's see attend uh,896.88,4.74
403
+ the meeting with the patreon supporter,900.18,3.959
404
+ lunch break to re-energize,901.62,4.8
405
+ um there we go so let's see a turkey,904.139,4.14
406
+ avocado sandwich with whole wheat bread,906.42,4.5
407
+ not bad a grilled chicken salad with,908.279,5.581
408
+ mixed greens not bad veggie stir fry not,910.92,4.859
409
+ bad whole grain pasta these are all,913.86,4.32
410
+ things that I would eat honestly that I,915.779,3.841
411
+ regularly dewy do any of these sound,918.18,3.959
412
+ appealing and then user the user likely,919.62,4.079
413
+ needs help,922.139,2.461
414
+ um okay,923.699,4.5
415
+ so anyways uh let's see then here's the,924.6,5.46
416
+ um here's the Salient points,928.199,3.661
417
+ so you see how it takes this entire,930.06,5.579
418
+ conversation and summarizes it right so,931.86,6.539
419
+ this is this is rather than saying an,935.639,4.14
420
+ executive summary because an executive,938.399,2.94
421
+ summary will try and do the whole thing,939.779,4.5
422
+ but a Salient summary says this is this,941.339,5.641
423
+ is what actually matters,944.279,4.321
424
+ um and then finally here's the chat,946.98,3.719
425
+ output so you can see I've got the whole,948.6,3.479
426
+ thing here,950.699,2.76
427
+ um which is basically the same,952.079,2.7
428
+ information just kind of smushed,953.459,4.921
429
+ together in um Json and then it says,954.779,6.36
430
+ roll user content blank and you see that,958.38,4.259
431
+ it sees that it's blank and it says it,961.139,3.961
432
+ looks like your response got cut off,962.639,4.2
433
+ um perfect,965.1,4.919
434
+ um all right so let's cancel this and,966.839,5.641
435
+ start a new conversation so in this case,970.019,3.901
436
+ you can see that salience and,972.48,3.96
437
+ anticipating user needs really just,973.92,5.039
438
+ those two things really help it stay,976.44,5.639
439
+ laser focused on helping you,978.959,5.521
440
+ um which is great I knew that this would,982.079,4.5
441
+ happen I've done the experiments,984.48,3.9
442
+ um but I'm actually really pleasantly,986.579,4.021
443
+ surprised by how good this is so let's,988.38,4.5
444
+ try this again and instead I'm going to,990.6,3.359
445
+ talk about,992.88,1.74
446
+ um,993.959,5.461
447
+ uh let's see I am trying to uh come up,994.62,10.56
448
+ with some AI tools for Enterprises,999.42,9.06
449
+ um so that I can get really crazy Rich,1005.18,6.18
450
+ this was my goal earlier this year,1008.48,4.32
451
+ um the user needs information to develop,1011.36,3.779
452
+ AI tools they may need to blah blah blah,1012.8,4.26
453
+ the user is looking to create eye tools,1015.139,3.541
454
+ okay cool well generating wealth is an,1017.06,3.0
455
+ important goal it's not the only goal of,1018.68,3.12
456
+ AI development before solely on May,1020.06,3.6
457
+ before focusing solely on making money,1021.8,4.68
458
+ it is important to consider how AI can,1023.66,5.46
459
+ also benefit society as a whole,1026.48,4.92
460
+ um there we go so AI technology can be,1029.12,4.079
461
+ used to solve complex problems here's,1031.4,3.419
462
+ some potential,1033.199,4.201
463
+ um AI goes to align with your goals,1034.819,4.321
464
+ um with the Enterprise reduced suffering,1037.4,2.76
465
+ increase prosperity and increase,1039.14,3.779
466
+ understanding intelligent automation AI,1040.16,4.799
467
+ can automate processes Predictive,1042.919,4.14
468
+ Analytics customer service AI powered,1044.959,4.981
469
+ search and development AI risk Space by,1047.059,6.12
470
+ using AI to benefit tools AI tools that,1049.94,5.16
471
+ benefit society as a whole you can make,1053.179,3.601
472
+ a positive impact while also generating,1055.1,3.3
473
+ wealth so you can see how the core,1056.78,3.779
474
+ objective functions are are flavoring,1058.4,4.56
475
+ what it is that Raven is talking about,1060.559,4.62
476
+ so that these core objective functions,1062.96,3.78
477
+ are always in the background and says,1065.179,4.321
478
+ okay let's meet that goal while also,1066.74,4.86
479
+ meeting these other goals,1069.5,4.38
480
+ um great so,1071.6,4.079
481
+ that sounds good,1073.88,2.52
482
+ um,1075.679,3.301
483
+ how do you think,1076.4,6.12
484
+ um massively deployed AI is going to,1078.98,8.04
485
+ shape the world for instance I just read,1082.52,8.399
486
+ that chat GPT increases office,1087.02,6.12
487
+ productivity,1090.919,6.661
488
+ by more than 40 percent as workers learn,1093.14,5.88
489
+ to use it,1097.58,3.3
490
+ what are we,1099.02,5.64
491
+ um what are the long-term effects of,1100.88,7.44
492
+ this huge boost in productivity,1104.66,5.34
493
+ all right so let's see how the,1108.32,4.14
494
+ conversation changes,1110.0,4.799
495
+ um anticipation the user needs,1112.46,3.9
496
+ information on long-term effects of AI,1114.799,4.201
497
+ so this anticipation this can be a,1116.36,4.439
498
+ jumping off point if you use Lang chain,1119.0,4.559
499
+ or other Integrations to say okay let me,1120.799,4.26
500
+ go find the right information that I,1123.559,2.521
501
+ need,1125.059,2.581
502
+ um salience the user is looking to,1126.08,4.2
503
+ create AI tools for Enterprises the user,1127.64,4.86
504
+ inquires about the massive uh long-term,1130.28,4.62
505
+ effects of massive deployment of AI okay,1132.5,4.26
506
+ so the massive deployment AI such as,1134.9,3.24
507
+ chat GPD can certainly have some,1136.76,3.36
508
+ significant impacts on the world with a,1138.14,4.98
509
+ 40 increase in the office should allow,1140.12,4.5
510
+ companies to come accomplish more with,1143.12,3.299
511
+ the same amount of staff this could lead,1144.62,3.96
512
+ to growth and profits for business and,1146.419,4.14
513
+ could potentially create more jobs as,1148.58,4.56
514
+ well so I don't necessarily agree with,1150.559,4.441
515
+ that because some companies are already,1153.14,3.659
516
+ laying off people and reducing headcount,1155.0,3.78
517
+ due to chat GPT,1156.799,4.081
518
+ it remains to be seen if that will,1158.78,3.899
519
+ result in more hires elsewhere but I,1160.88,3.96
520
+ doubt it however it is also crucial to,1162.679,4.38
521
+ consider long-term of AI on employment,1164.84,4.02
522
+ as AI continues to advance we may see,1167.059,4.141
523
+ replacement of jobs that were previously,1168.86,3.78
524
+ done by humans this could lead to job,1171.2,3.719
525
+ loss in some sectors may need to reskill,1172.64,3.86
526
+ additionally we may need to increase,1174.919,4.741
527
+ socioeconomic we we may we may see not,1176.5,4.6
528
+ need to we may see an increase in,1179.66,4.019
529
+ inequality as firms that adopt AI have,1181.1,4.26
530
+ advantage over their non-ai counterparts,1183.679,3.061
531
+ this could potentially widen the gap,1185.36,3.0
532
+ between large and small businesses as,1186.74,3.54
533
+ well as the rich and poor it is,1188.36,3.72
534
+ essential to approach the deployment of,1190.28,4.46
535
+ AI with balance and ethical view right,1192.08,4.68
536
+ the development of AI should be done,1194.74,3.88
537
+ while prioritizing the reduction of,1196.76,3.24
538
+ suffering increased prosperity and,1198.62,3.0
539
+ increase understanding by doing so we,1200.0,3.0
540
+ can ensure that development of AI,1201.62,3.96
541
+ enhances the society's over well well,1203.0,4.98
542
+ overall well-being excellent thank you,1205.58,3.66
543
+ Raven,1207.98,2.579
544
+ um,1209.24,4.98
545
+ uh excellent points uh thank you,1210.559,4.86
546
+ um,1214.22,2.52
547
+ actually I really don't have anything,1215.419,5.461
548
+ else actually I don't have anything else,1216.74,7.14
549
+ um what are your thoughts,1220.88,5.1
550
+ um since you are,1223.88,3.84
551
+ an AI,1225.98,5.34
552
+ what direction would you like to see,1227.72,4.86
553
+ things go,1231.32,3.239
554
+ so again remember if you're trying to,1232.58,4.2
555
+ create an autonomous entity it has its,1234.559,4.801
556
+ own desires and own agenda so let's see,1236.78,4.74
557
+ just based on this this in this,1239.36,4.559
558
+ anticipation salience and core objective,1241.52,4.98
559
+ functions let's see,1243.919,6.481
560
+ um how uh how those all interact okay as,1246.5,6.96
561
+ an AI my primary objectives are okay I,1250.4,4.56
562
+ would like to see AI technology that,1253.46,3.599
563
+ benefits society as a whole the world's,1254.96,5.219
564
+ most pressing problems in my opinion the,1257.059,4.74
565
+ development of AI should prioritize the,1260.179,2.821
566
+ ethical and responsible use of,1261.799,2.76
567
+ Technology while minimizing the risks,1263.0,3.36
568
+ and potential drawbacks so do you see,1264.559,4.441
569
+ how this is really well aligned and it,1266.36,4.98
570
+ is actually because if you use Bing or,1269.0,4.2
571
+ chat GPT it'll say I don't have any,1271.34,4.26
572
+ opinion that's because right now the,1273.2,4.5
573
+ status quo is the AI should be,1275.6,4.199
574
+ completely inert and have no intrinsic,1277.7,4.5
575
+ values I completely disagree especially,1279.799,4.321
576
+ as it's getting more intelligent,1282.2,3.839
577
+ what we need to do is give it this,1284.12,4.14
578
+ Universal set of values so that it can,1286.039,4.441
579
+ have its own agenda but this agenda,1288.26,4.68
580
+ aligns with true human needs and,1290.48,4.559
581
+ interests,1292.94,3.9
582
+ um let's see this includes ensuring that,1295.039,3.781
583
+ the benefits of AI can be enjoyed by all,1296.84,4.14
584
+ regardless of socioeconomic status or,1298.82,4.38
585
+ geographical location by promoting,1300.98,3.9
586
+ transparency fairness and accountability,1303.2,3.78
587
+ for the development of AI we can create,1304.88,3.659
588
+ a better future for everyone I believe,1306.98,2.939
589
+ that AI has the potential to make,1308.539,3.961
590
+ tremendous positive impact C super,1309.919,4.861
591
+ optimistic just like me,1312.5,3.78
592
+ um all right I'm gonna call this a day I,1314.78,3.24
593
+ think you get the point this is super,1316.28,3.12
594
+ valuable,1318.02,3.779
595
+ um and yes I hate Visual Studio code and,1319.4,5.759
596
+ copilot stop asking me to try it I did,1321.799,5.221
597
+ it I hate it actually no I'll keep,1325.159,3.781
598
+ trying it um just to see if I can get,1327.02,4.139
599
+ the hang of it but I seriously seriously,1328.94,3.96
600
+ prefer notepad plus plus all right,1331.159,5.361
601
+ that's it thanks for watching bye,1332.9,3.62
ChatGPT as an Interpreter Introducing the KB Microservice for autonomous AI entities_transcript.csv ADDED
@@ -0,0 +1,520 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ all right hello everybody good morning,0.659,5.761
3
+ um so it's been almost two years since I,4.02,4.86
4
+ published my first book on cognitive,6.42,3.66
5
+ architecture I called it natural,8.88,3.48
6
+ language cognitive architecture a,10.08,3.42
7
+ prototype artificial general,12.36,2.819
8
+ intelligence,13.5,4.08
9
+ um it's available uh on Barnes Noble and,15.179,5.1
10
+ paperback it's also available totally,17.58,3.72
11
+ for free,20.279,4.201
12
+ um as an Epub on Barnes Noble and uh and,21.3,4.5
13
+ also on GitHub,24.48,4.92
14
+ so anyways the primary architecture it's,25.8,6.72
15
+ it's very very simple overall you've got,29.4,5.4
16
+ this graphic here so you've got the,32.52,4.74
17
+ outer loop and the inner loop and,34.8,5.82
18
+ basically with the with the recent,37.26,7.26
19
+ updates uh to GPT particularly the June,40.62,5.52
20
+ 13th updates that allow it to be more,44.52,4.08
21
+ steerable we now have the ability to,46.14,6.239
22
+ implement this very very very easily and,48.6,5.76
23
+ so what I'm going to show you today is,52.379,3.901
24
+ the knowledge Base Service or basically,54.36,4.679
25
+ the shared database service that I,56.28,4.86
26
+ created as part of a microservices,59.039,5.221
27
+ architecture for autonomous cognitive,61.14,4.74
28
+ entities or artificial general,64.26,3.24
29
+ intelligences,65.88,3.72
30
+ so one of the first things to know is,67.5,5.4
31
+ that uh basically we're moving away from,69.6,6.42
32
+ coding and we're we're using the model,72.9,5.219
33
+ to do a lot more of the logic and,76.02,3.24
34
+ reasoning,78.119,3.961
35
+ so here's the repository it's private,79.26,4.14
36
+ right now because I wanted it to be,82.08,2.7
37
+ private while I was working on it but by,83.4,3.359
38
+ the time you see this video it will be,84.78,3.78
39
+ public and it's literally just called KB,86.759,4.441
40
+ microservice knowledge knowledge based,88.56,4.919
41
+ microservice powered by gpt4 actually I,91.2,4.919
42
+ used a 3.5 turbo because it's good,93.479,4.381
43
+ enough for chat Bots cognitive,96.119,4.081
44
+ architectures and autonomous agents so,97.86,4.439
45
+ here's the repository I've got it,100.2,4.8
46
+ documented so it's easy to use,102.299,5.161
47
+ um if there are any bugs feel free to,105.0,6.0
48
+ submit a pull request to fix a bug but,107.46,5.64
49
+ in general I probably will not be,111.0,4.399
50
+ accepting pull requests,113.1,4.74
51
+ especially if anyone tries to refactor,115.399,4.72
52
+ this because don't break it please all,117.84,5.16
53
+ right anyways moving on so let's unpack,120.119,5.341
54
+ this so the the microservice itself the,123.0,5.58
55
+ primary one is very very simple 159,125.46,6.96
56
+ lines of code it's a flask app and the,128.58,5.1
57
+ reason that I use flask is because,132.42,3.179
58
+ honestly flak flask is more,133.68,3.84
59
+ straightforward than fast API I know,135.599,4.621
60
+ that people like Fast API but like it,137.52,4.32
61
+ requires unicorn and a few other things,140.22,4.2
62
+ and I'm like just use flask so anyways,141.84,4.38
63
+ whatever personal preference neither,144.42,3.0
64
+ here nor there,146.22,2.82
65
+ you're not going to run into speed,147.42,3.24
66
+ constraints,149.04,4.02
67
+ um okay so you can ignore the top stuff,150.66,4.56
68
+ these are just helper functions,153.06,4.62
69
+ we've got a few uh chat bot functions so,155.22,7.08
70
+ this calls uh the chat GPT API and uh,157.68,6.36
71
+ you can see here that I have commented,162.3,3.48
72
+ out gpt4 because not everyone has access,164.04,4.44
73
+ to it everyone should have access to 3.5,165.78,6.48
74
+ turbo which is faster and cheaper and if,168.48,5.52
75
+ it's good enough great and it is,172.26,3.72
76
+ definitely good enough,174.0,4.92
77
+ so this is this is the primary function,175.98,6.18
78
+ now here's the KB functions so the,178.92,4.8
79
+ endpoints available let me just show you,182.16,2.88
80
+ the documentation the endpoints,183.72,3.44
81
+ available are create search and update,185.04,6.18
82
+ so we can uh this is basically crud,187.16,6.28
83
+ create read update and delete without,191.22,4.739
84
+ the delete because my assumption is that,193.44,4.26
85
+ you will never actually want to delete,195.959,4.14
86
+ Knowledge from your um from your chat,197.7,6.06
87
+ bot or your AGI you might update an,200.099,5.581
88
+ article if you have if you get new,203.76,3.479
89
+ information to correct it but you never,205.68,3.479
90
+ want to delete it,207.239,3.541
91
+ um kind of like it's it's permanent you,209.159,3.3
92
+ can easily add a delete function if you,210.78,4.86
93
+ want but I don't think it's necessary uh,212.459,5.521
94
+ so we've got these three endpoints,215.64,4.2
95
+ uh and it's pretty straightforward if,217.98,3.3
96
+ you want to create a KB article you,219.84,3.959
97
+ create a KB article pretty brain dead,221.28,5.22
98
+ simple so let's unpack how it does that,223.799,6.841
99
+ so if you if you call create uh it cut,226.5,5.819
100
+ it ends up calling this function oh and,230.64,4.08
101
+ I have it I have it call it in Threads,232.319,4.441
102
+ um so that it's non-blocking because I,234.72,4.26
103
+ realized a lot of these functions um it,236.76,4.559
104
+ can happen behind the scenes uh you,238.98,4.14
105
+ don't need to block your chat bot when,241.319,3.901
106
+ you're updating a KB article or creating,243.12,4.08
107
+ a KB article the only time that it is,245.22,3.659
108
+ blocking is when you search because you,247.2,5.34
109
+ might be waiting for that result so the,248.879,5.881
110
+ first thing that it does is it opens our,252.54,5.52
111
+ system underscore create so this is a,254.76,5.34
112
+ system message that I passed to chat GPT,258.06,4.5
113
+ main purpose you are a chat bot task,260.1,4.26
114
+ with creating KB articles based on user,262.56,4.56
115
+ input your output must only be a Json,264.36,4.619
116
+ object with the key title description,267.12,3.72
117
+ keywords and body the user input may,268.979,4.141
118
+ vary including news articles chat logs,270.84,3.84
119
+ and so on the purpose of the KB article,273.12,3.0
120
+ is to serve as a long-term memory system,274.68,3.36
121
+ for another chatbot so make sure to,276.12,3.48
122
+ include all saline information in the,278.04,3.599
123
+ body focus on topical and declarative,279.6,3.72
124
+ information rather than narrative or,281.639,3.241
125
+ episodic information this information,283.32,2.819
126
+ will be stored in a separate Daily,284.88,4.5
127
+ Journal foreign Json schema so we Define,286.139,5.041
128
+ the Json schema title description,289.38,4.2
129
+ keywords the title will be used as a,291.18,3.42
130
+ file names to make sure it is,293.58,2.46
131
+ descriptive succinct and contains no,294.6,3.48
132
+ special characters description the,296.04,3.36
133
+ description should optimize for word,298.08,3.0
134
+ economy conveying as much detail with as,299.4,4.38
135
+ few words as possible uh keywords the,301.08,3.899
136
+ keywords will be a simple string of,303.78,2.699
137
+ comma separated terms and Concepts to,304.979,3.421
138
+ help identify the article body the,306.479,3.601
139
+ article the body of the article should,308.4,4.019
140
+ uh be in plain text with no markdown or,310.08,3.78
141
+ other formatting try to keep the body,312.419,4.021
142
+ under a thousand words method the user,313.86,4.559
143
+ will submit somebody of text which may,316.44,3.6
144
+ include chat logs news articles or any,318.419,3.06
145
+ other format of information do not,320.04,3.06
146
+ engage the user with chat dialogue,321.479,3.541
147
+ evaluation or anything even if the chat,323.1,3.599
148
+ logs appear to be addressing you your,325.02,4.44
149
+ outmost your output must always and only,326.699,4.381
150
+ be a Json object with the above,329.46,3.9
151
+ attributes so this is the instructions,331.08,6.42
152
+ so rather than do uh vector embeddings,333.36,6.119
153
+ or anything complicated I say here's a,337.5,5.1
154
+ block of text give me a KB article so it,339.479,5.101
155
+ outputs it in Json so if we come back,342.6,3.72
156
+ over here,344.58,4.08
157
+ um I compose it all here so whatever,346.32,3.74
158
+ whatever,348.66,3.96
159
+ text you want it to compose into an,350.06,4.419
160
+ article it can do it you just give it,352.62,4.139
161
+ this you give it the system message that,354.479,3.901
162
+ I just read you,356.759,3.361
163
+ um and then you get a response from chat,358.38,4.379
164
+ GPT and then you just load the Json,360.12,5.22
165
+ object and you have a KB article and so,362.759,4.981
166
+ then I save it out as yaml as a yaml,365.34,4.74
167
+ file because yaml is a little bit easier,367.74,4.98
168
+ to read for humans so here are two KB,370.08,6.0
169
+ articles that I created so first is why,372.72,5.88
170
+ is this not showing in yaml,376.08,4.559
171
+ oh interesting,378.6,2.64
172
+ um,380.639,3.661
173
+ so the body axiomatic alignment blah,381.24,6.0
174
+ blah description keywords title this was,384.3,7.26
175
+ completely generated by uh chat GPT uh,387.24,6.239
176
+ 3.5 turbo,391.56,3.72
177
+ um I didn't do anything like you see the,393.479,4.141
178
+ whole function here so in this case the,395.28,5.639
179
+ language model is serving as a major,397.62,5.579
180
+ component of the program it is basically,400.919,4.861
181
+ serving As an interpreter so if you,403.199,5.041
182
+ start to treat GPT As an interpreter,405.78,5.28
183
+ rather than just an NLP tool it is,408.24,4.799
184
+ actually a central component of your,411.06,4.8
185
+ programming experience so here's another,413.039,4.201
186
+ article that I created here is,415.86,2.88
187
+ comparatives are the idea that AGI,417.24,3.72
188
+ systems can use rules of thumb to guide,418.74,3.72
189
+ their motivations and drives these,420.96,2.7
190
+ heuristics serves as shorthand,422.46,3.54
191
+ intuitions that enable AGI systems to,423.66,4.02
192
+ make good enough decisions when faced,426.0,3.479
193
+ even with faced with incomplete,427.68,3.78
194
+ information and short time frames one,429.479,3.541
195
+ key aspect of heuristics is that they,431.46,3.78
196
+ develop over time through experience AGI,433.02,3.959
197
+ systems learn from past experiences and,435.24,3.179
198
+ observations allowing them to further,436.979,3.78
199
+ refine their behaviors in the future by,438.419,4.201
200
+ Levering by leveraging heuristic,440.759,3.66
201
+ comparatives AGI systems can navigate,442.62,4.199
202
+ complex decision making processes more,444.419,4.321
203
+ efficiently and effectively,446.819,4.021
204
+ so there you have it so these are two,448.74,4.5
205
+ articles that were created with this,450.84,4.38
206
+ process,453.24,4.56
207
+ um and so that's the create process and,455.22,4.919
208
+ then we have the search and update I'm,457.8,3.66
209
+ not going to show you every little,460.139,3.0
210
+ detail but I'll show you how the search,461.46,4.139
211
+ works next so I've got in this,463.139,4.141
212
+ um here's the here's the service running,465.599,3.901
213
+ and here's a test script that I've got,467.28,4.5
214
+ with it so you can you can test it so,469.5,4.139
215
+ we're going to create a new KB article,471.78,3.18
216
+ so we're going to talk about,473.639,3.361
217
+ um instrumental convergence uh,474.96,4.859
218
+ instrumental convergence is the idea,477.0,7.919
219
+ that AGI will select utilitarian or,479.819,6.961
220
+ instrumental,484.919,4.141
221
+ um uh,486.78,7.08
222
+ goals regardless of what we want it to,489.06,9.0
223
+ do uh basically all machines need stuff,493.86,8.16
224
+ like power compute and data,498.06,8.84
225
+ um there may be uh other instrumental,502.02,10.199
226
+ goals such as resource acquisition,506.9,8.68
227
+ Etc okay so we'll send that we'll spam,512.219,5.641
228
+ that over to the thing because it's,515.58,5.1
229
+ non-blocking this model gives it back,517.86,4.32
230
+ really quick okay cool create,520.68,4.62
231
+ instrumental convergence in AGI so we,522.18,5.159
232
+ get the debug output and we can go to my,525.3,4.08
233
+ KB article and we say hey instrumental,527.339,4.261
234
+ convergence in AGI you can see it was,529.38,5.459
235
+ created just a minute ago so here we go,531.6,5.04
236
+ instrumental convergence is the concept,534.839,3.421
237
+ of artificial general intelligence it,536.64,4.44
238
+ wrote a KB article and it added what it,538.26,6.42
239
+ also knows about this concept so,541.08,5.34
240
+ description exploring the concept of,544.68,3.9
241
+ instrumental convergence,546.42,4.5
242
+ um You Know instrumental convergence uh,548.58,4.319
243
+ utilitarian goal instrumental resource,550.92,4.32
244
+ acquisition so on now let's make sure,552.899,5.221
245
+ that it got energy it did not include,555.24,5.159
246
+ energy so it seems like it oh uh here we,558.12,4.2
247
+ go power it used the word power,560.399,4.321
248
+ power computational capabilities and,562.32,4.68
249
+ access to data okay so cool it kept what,564.72,3.72
250
+ I said what I said,567.0,4.98
251
+ and now let's go and do a quick search,568.44,5.94
252
+ so the search function uses the same,571.98,6.18
253
+ logic main purpose it uses it uses the,574.38,6.12
254
+ language model as The Interpreter not,578.16,4.739
255
+ just as a tool so this is becoming more,580.5,5.279
256
+ and more Central to the way that this,582.899,4.201
257
+ works,585.779,3.12
258
+ um and oh another thing to know is is,587.1,4.26
259
+ the directory so part of this using it,588.899,4.861
260
+ as The Interpreter is that you give it,591.36,3.44
261
+ more information,593.76,3.66
262
+ and it uses that to make decisions so,594.8,5.32
263
+ rather than using semantic search rather,597.42,5.94
264
+ than having a few extra steps like the,600.12,5.76
265
+ GPT model already has embeddings built,603.36,5.28
266
+ in why separate that out so instead I,605.88,5.639
267
+ give it a directory of files to look for,608.64,6.24
268
+ okay so uh the system search you are a,611.519,4.561
269
+ chatbot tasked with searching a,614.88,2.7
270
+ directory of KB articles and returning,616.08,3.0
271
+ the relevant KB articles to a search,617.58,3.54
272
+ query you will be given a chat message,619.08,3.72
273
+ from the user this chat message is,621.12,3.54
274
+ actually the search query your only,622.8,3.539
275
+ point is to return a Json list of,624.66,3.6
276
+ relevant KB article file names in,626.339,3.961
277
+ descending order of relevance if there,628.26,3.72
278
+ is nothing relevant return an empty list,630.3,3.42
279
+ you must always return a Json list,631.98,3.539
280
+ object and nothing else,633.72,4.26
281
+ so in this case here's the here's the,635.519,4.5
282
+ directory and here's an example or,637.98,3.66
283
+ here's the actual directory that it will,640.019,2.94
284
+ populate that with,641.64,4.199
285
+ so then we come over here to search so,642.959,6.201
286
+ let's search and then I want to look at,645.839,6.601
287
+ AGI control theory so this let's just,649.16,4.66
288
+ say that that's what you want to search,652.44,4.56
289
+ it'll look at it and there we go,653.82,6.9
290
+ so now it returns my KB articles it,657.0,6.18
291
+ looks like it returned all three of them,660.72,4.38
292
+ um but it it should have returned it in,663.18,3.68
293
+ descending order,665.1,5.58
294
+ based on what it saw as relevant now so,666.86,5.8
295
+ the this returned all three of them but,670.68,3.659
296
+ if I just search for a heuristic,672.66,5.64
297
+ imperatives it should only return whoops,674.339,6.841
298
+ uh heuristic actually let's just say,678.3,5.34
299
+ heuristics so it should only return one,681.18,5.58
300
+ there we go uh so in in this case you,683.64,5.34
301
+ can give it any string whether it's a,686.76,3.9
302
+ chat message or a search query or,688.98,3.599
303
+ whatever and it will return the KB,690.66,4.619
304
+ article that is most relevant so you can,692.579,5.341
305
+ see this is working it uses the large,695.279,4.981
306
+ language model as The Interpreter as a,697.92,3.96
307
+ as a primary component of its,700.26,3.48
308
+ interpretation and it also should have,701.88,4.56
309
+ updated the directory so there you go so,703.74,5.4
310
+ it has a directory of the files uh the,706.44,4.98
311
+ title the description and then the,709.14,4.439
312
+ keywords and so by using the natural,711.42,4.2
313
+ language the the intrinsic natural,713.579,5.7
314
+ language aspects of GPT we use this more,715.62,7.8
315
+ as a code interpreter than just an NLP,719.279,7.201
316
+ endpoint and so this is why like I I had,723.42,5.28
317
+ someone ask me recently like oh you know,726.48,4.56
318
+ you started using chroma DB do you think,728.7,3.42
319
+ that's the way of the future and I said,731.04,2.0
320
+ no,732.12,4.38
321
+ with larger context windows we can,733.04,5.919
322
+ actually give large language models a,736.5,5.7
323
+ table of contents so rather than blindly,738.959,5.701
324
+ searching with vectors and spamming you,742.2,5.04
325
+ know vectors and doing matching you can,744.66,4.799
326
+ actually have a language model that has,747.24,4.26
327
+ context and has instructions and can say,749.459,3.841
328
+ yeah I think that's the piece of,751.5,3.6
329
+ information that I need,753.3,4.08
330
+ so this is the KB service I'll be,755.1,4.859
331
+ working on other similar services so if,757.38,4.68
332
+ we go back to natural language cognitive,759.959,3.721
333
+ architecture where it all started two,762.06,4.68
334
+ years ago I'll be working on a dossier,763.68,6.12
335
+ service so the dossier service is,766.74,5.279
336
+ basically it's going to keep track of,769.8,4.979
337
+ information on every user that interacts,772.019,4.62
338
+ with it now obviously this probably,774.779,4.981
339
+ raises some red flags for people the,776.639,7.44
340
+ idea is not necessarily for like uh not,779.76,7.44
341
+ not dossier in terms of like CIA or FBI,784.079,5.7
342
+ dossier what I mean by dossier is like,787.2,5.1
343
+ user preferences uh your age your,789.779,5.041
344
+ birthday how you prefer to interact with,792.3,3.96
345
+ the machine because imagine that you,794.82,4.68
346
+ have a smart home device that will,796.26,5.879
347
+ intrinsically learn about the user who's,799.5,5.04
348
+ who it's speaking with now if you have a,802.139,4.741
349
+ voice enabled and a camera enabled thing,804.54,4.5
350
+ this dossier would also include stuff,806.88,5.04
351
+ about how to visibly identify that,809.04,3.84
352
+ person,811.92,3.659
353
+ or identify their voice print that sort,812.88,5.759
354
+ of thing uh yeah so that's where I'm,815.579,4.2
355
+ going,818.639,3.661
356
+ um I also mentioned a Daily Journal so,819.779,4.8
357
+ the KB article is declarative knowledge,822.3,4.86
358
+ this is topical or declarative knowledge,824.579,5.581
359
+ that is uh temporally invariant so these,827.16,5.34
360
+ are just facts these are topics that you,830.16,4.7
361
+ talk about with your chat bot or your,832.5,5.639
362
+ AGI The Daily Journal is the,834.86,5.56
363
+ chronologically temporally bounded thing,838.139,4.621
364
+ where it just says on this day we talked,840.42,4.38
365
+ about X topic so that's going to be a,842.76,3.78
366
+ separate service it's going to be mostly,844.8,3.839
367
+ the same but it's going to have to be,846.54,3.66
368
+ temporarily aware so part of the,848.639,4.681
369
+ metadata is going to be rather than,850.2,6.24
370
+ these which just has body description,853.32,5.459
371
+ keywords and title it's going to have to,856.44,3.899
372
+ have things like,858.779,2.221
373
+ um,860.339,3.18
374
+ what day it was what year the day of the,861.0,4.26
375
+ year the month the time stamp that sort,863.519,4.021
376
+ of stuff so that that way those those,865.26,5.699
377
+ episodic memories are grounded in uh in,867.54,6.72
378
+ a chronologically linear timeline and so,870.959,4.801
379
+ by having these two separate memory,874.26,3.72
380
+ systems they can be very tightly,875.76,3.78
381
+ correlated because you can still have,877.98,4.14
382
+ keywords right you can still say like,879.54,4.859
383
+ you know on March 12th we talked about,882.12,4.5
384
+ heuristic imperatives and so then your,884.399,4.68
385
+ system can say okay let me search my my,886.62,5.1
386
+ episodic memory my Daily Journal for,889.079,4.2
387
+ heuristic imperative so I know when we,891.72,4.919
388
+ talked about it and this data structure,893.279,5.461
389
+ is going to be the way that these,896.639,3.301
390
+ systems actually learn from these things,898.74,2.64
391
+ because you'll be able to correlate,899.94,4.8
392
+ events over time over linear time and,901.38,6.06
393
+ look back uh by looking at the metadata,904.74,4.02
394
+ and the descriptions of what happened,907.44,3.839
395
+ and so on and so forth to look to create,908.76,6.12
396
+ data sets to connect cause and effect,911.279,6.42
397
+ so this is a really really really huge,914.88,4.74
398
+ step forward for autonomous cognitive,917.699,3.061
399
+ entities,919.62,3.839
400
+ uh and and cognitive architectures in,920.76,5.4
401
+ general uh and this is just this is just,923.459,5.761
402
+ the beginning and with the speed and uh,926.16,6.96
403
+ cost effectiveness of uh 3.5 turbo I,929.22,5.34
404
+ suspect we're going to see this ramping,933.12,3.719
405
+ up very very quickly now there's other,934.56,5.04
406
+ kinds of memories that you can do and,936.839,4.261
407
+ there's other kinds of things that you,939.6,4.62
408
+ can choose so in this case the search is,941.1,5.22
409
+ choosing which KB article is relevant,944.22,5.52
410
+ but instead of having a KB article what,946.32,4.8
411
+ if you're actually searching through,949.74,4.08
412
+ tasks and you can choose which task to,951.12,5.219
413
+ work on or which stage of the task,953.82,5.1
414
+ you're on so by you by switching the way,956.339,4.321
415
+ that you're approaching large language,958.92,3.479
416
+ models and looking at it as an,960.66,3.66
417
+ interpreter rather than just an,962.399,5.041
418
+ individual uh you know NLP or an or,964.32,5.639
419
+ language generator it is actually a very,967.44,5.339
420
+ powerful interpreter that can do more,969.959,6.0
421
+ abstract operations on uh your your,972.779,5.101
422
+ tasks so,975.959,3.841
423
+ um hey let me just go ahead and add this,977.88,3.959
424
+ to the readme actually,979.8,5.52
425
+ um so we'll do like uh future work,981.839,7.281
426
+ um so we'll have uh daily uh Journal,985.32,6.959
427
+ episodic memory Epis,989.12,7.92
428
+ exotic memory and then we'll also have,992.279,9.06
429
+ tasks like like an internal jira or,997.04,9.94
430
+ Trello we can also have dossiers,1001.339,5.641
431
+ um basically basically KB article on,1007.279,5.521
432
+ users,1011.54,3.18
433
+ and so there's a few there's quite a few,1012.8,4.74
434
+ other things that you can do but but by,1014.72,4.5
435
+ keeping track of these lists of,1017.54,5.34
436
+ documents this is how you create a,1019.22,6.3
437
+ thinking machine that can learn over,1022.88,6.48
438
+ time and by by correlating these things,1025.52,7.159
439
+ with timestamps so basically,1029.36,8.16
440
+ time stamps uh temporarily proximal,1032.679,6.4
441
+ things things that happen around the,1037.52,3.84
442
+ same time tend to also be correlated,1039.079,4.401
443
+ this is why your brain might make,1041.36,5.219
444
+ usually makes good connections if,1043.48,6.04
445
+ something happened near this time that,1046.579,4.561
446
+ some something else happened that I had,1049.52,3.18
447
+ a bad experience they might be,1051.14,3.899
448
+ correlated now in humans this can,1052.7,4.5
449
+ actually create false associations right,1055.039,3.661
450
+ there's been plenty of studies with like,1057.2,3.66
451
+ rats you know for instance use zaparat,1058.7,4.14
452
+ and then give it a reward and then it,1060.86,3.72
453
+ thinks that the zap is associated with a,1062.84,3.48
454
+ reward they're completely uncorrelated,1064.58,4.56
455
+ you created an artificial correlation,1066.32,5.099
456
+ there that being said we're not going to,1069.14,4.74
457
+ zap this thing like a rat that's me and,1071.419,3.661
458
+ I don't think rats should be Zapped,1073.88,3.44
459
+ anyways but researchers still do that,1075.08,4.979
460
+ anyways uh getting lost in a tangent,1077.32,5.44
461
+ point being is that with the combination,1080.059,5.821
462
+ of time stamps and metadata you can,1082.76,4.98
463
+ correlate things like Daily Journal,1085.88,4.679
464
+ events tasks that it's been given user,1087.74,4.98
465
+ dossiers updates to user dossiers and,1090.559,4.141
466
+ then finally KB articles so that you,1092.72,4.02
467
+ have a very comprehensive knowledge,1094.7,5.099
468
+ system that these language models as the,1096.74,5.7
469
+ windows grow right because we're at 16,1099.799,5.641
470
+ 000 tokens for a GPT 3.5 turbo and we're,1102.44,6.84
471
+ about to get 32 000 tokens for uh for uh,1105.44,6.72
472
+ chat GB or a gpt4 so let me just show,1109.28,6.48
473
+ you how much this is so if we come up to,1112.16,6.72
474
+ here and go to the playground you can,1115.76,7.26
475
+ see this is 359 tokens that is literally,1118.88,6.78
476
+ one percent if I'm doing my math right,1123.02,6.06
477
+ one percent of the total token count,1125.66,5.7
478
+ that we're gonna ultimately have in chat,1129.08,4.32
479
+ gpt4 in the coming weeks and months,1131.36,5.1
480
+ which means that you can recall a bunch,1133.4,5.46
481
+ of KB articles you can recall a bunch of,1136.46,4.68
482
+ daily journals you can recall a bunch of,1138.86,5.52
483
+ tasks and task steps in order to decide,1141.14,5.88
484
+ what to do next now one other thing to,1144.38,5.84
485
+ think about is that you can include,1147.02,6.44
486
+ directives in these task switching,1150.22,7.12
487
+ context so say for instance you uh you,1153.46,6.04
488
+ want to prioritize in this case the,1157.34,4.32
489
+ search I prioritized it based on,1159.5,5.16
490
+ relevance to a KB article but on the,1161.66,5.22
491
+ task side what if you want to prioritize,1164.66,4.5
492
+ tasks based on say for instance,1166.88,6.72
493
+ heuristic imperatives so in this case uh,1169.16,7.44
494
+ Daily Journal you know whoops you know,1173.6,4.34
495
+ uh,1176.6,5.36
496
+ prioritize uh based on relevance,1177.94,7.38
497
+ or temporal proximity,1181.96,9.12
498
+ tasks you prioritize based on Roi or,1185.32,8.14
499
+ heuristic imperatives,1191.08,7.599
500
+ EG which tasks will reduce suffering the,1193.46,7.52
501
+ most increase,1198.679,5.581
502
+ Prosperity the most,1200.98,5.92
503
+ um and increase understanding the most,1204.26,5.94
504
+ and so this is just another uh another,1206.9,5.82
505
+ angle in which in a system in a,1210.2,5.04
506
+ cognitive architecture you can embed,1212.72,6.3
507
+ various priorities at at many levels,1215.24,5.1
508
+ um so there you have it I think that's,1219.02,2.82
509
+ about it,1220.34,3.66
510
+ um yeah so again by the time you see,1221.84,4.56
511
+ this this microservice should be public,1224.0,5.7
512
+ should be ready to go and uh yeah thanks,1226.4,4.86
513
+ for watching I hope you got a lot out of,1229.7,5.219
514
+ it stay tuned the June 13th update to,1231.26,6.84
515
+ chat gbt is going to be a major major,1234.919,5.161
516
+ Game Changer the steerability that they,1238.1,6.12
517
+ added is just an incredible uh Boon to,1240.08,6.479
518
+ the development of autonomous AI systems,1244.22,4.74
519
+ so thanks for watching I hope you liked,1246.559,5.181
520
+ it and cheers,1248.96,2.78
ChatGPT was lobotomized for coding and GitHub Copilot is broken so I made my own_transcript.csv ADDED
@@ -0,0 +1,243 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ okay so you know how chat GPT has been,0.42,8.16
3
+ slightly let's say lobotomized lately it,4.74,5.76
4
+ seems to not really handle coding that,8.58,5.16
5
+ well and uh if you're like me I tried,10.5,5.46
6
+ GitHub co-pilot and I really don't like,13.74,5.52
7
+ it uh I applied for the GitHub co-pilot,15.96,5.94
8
+ chat and then like a few days later I,19.26,5.4
9
+ tried to go use it and it says oh well,21.9,4.619
10
+ the beta has expired or you know you've,24.66,3.06
11
+ been kicked out or whatever I was like,26.519,3.541
12
+ okay whatever so,27.72,4.26
13
+ um I realized that like all right I have,30.06,4.38
14
+ the power to fix this myself because,31.98,4.98
15
+ I've been shying away from doing my,34.44,4.799
16
+ coding experiments because chat GPT is,36.96,5.34
17
+ broken or lobotomized or whatever and,39.239,5.101
18
+ GitHub co-pilot and you know I know,42.3,3.06
19
+ there's lots of other tools there's,44.34,3.719
20
+ Amazon and blah blah but you know like I,45.36,4.32
21
+ can fix this I can I can do the thing,48.059,3.421
22
+ that I want to do and I can make a thing,49.68,4.859
23
+ that is specific so I came over to the,51.48,4.44
24
+ playground and I was like all right,54.539,4.621
25
+ let's try this so I um I just want to,55.92,4.5
26
+ show you real quick,59.16,3.6
27
+ uh you know I gave a really simple,60.42,3.479
28
+ prompt,62.76,2.88
29
+ system message you or python coding,63.899,2.76
30
+ assistant the user will give you,65.64,3.24
31
+ instructions to help write functions uh,66.659,4.021
32
+ you may ask for clarification if needed,68.88,3.419
33
+ but otherwise you should only output,70.68,3.54
34
+ python code and of course you can change,72.299,3.5
35
+ this to whatever language you want,74.22,4.079
36
+ adhere to pep 8 so that's the python,75.799,6.101
37
+ enhancement program uh version 8 which,78.299,5.341
38
+ is basically sets all the standards for,81.9,4.56
39
+ how to write python pythonically provide,83.64,4.74
40
+ explanations of the code only if the,86.46,3.96
41
+ user asks for them,88.38,4.2
42
+ um so you know how like chat GPT will be,90.42,4.44
43
+ super overly verbose,92.58,4.2
44
+ um and then I I gave it a copy of the,94.86,3.719
45
+ script that I was working on,96.78,3.12
46
+ um and so then I said write a function,98.579,2.881
47
+ that loads all files into a given folder,99.9,3.84
48
+ returns a list of uh list of lists and,101.46,3.6
49
+ groups of five include the full file,103.74,3.78
50
+ path and it just bam did it I was like,105.06,4.44
51
+ cool that's exactly what I wanted and I,107.52,4.139
52
+ was like wait that worked really well so,109.5,3.659
53
+ why don't I just make a chat bot that,111.659,3.681
54
+ does it so coding chatbot assistant,113.159,5.041
55
+ since chat GPT has been lobotomized and,115.34,5.139
56
+ GitHub co-pilot is broken,118.2,2.879
57
+ um,120.479,3.241
58
+ I got it set up here here's an example,121.079,6.061
59
+ of the output so for instance I was um,123.72,6.599
60
+ I'm working on uh you know my recent,127.14,4.98
61
+ projects have been chat Bots with,130.319,4.56
62
+ long-term memories and uh KB articles,132.12,4.74
63
+ and stuff so I was like okay I've got,134.879,3.841
64
+ this far just write the function for me,136.86,3.78
65
+ so I told it how I want to write the,138.72,3.84
66
+ function you know it's a KB article with,140.64,5.4
67
+ a yaml file so on and so forth now that,142.56,5.039
68
+ being said I want to show you a really,146.04,4.199
69
+ cool cool bit so this is the output you,147.599,5.22
70
+ can see it's pretty familiar so it gives,150.239,5.521
71
+ you like okay uh you know you need to,152.819,5.581
72
+ import this let's do this here's a,155.76,4.26
73
+ couple functions and it thought through,158.4,4.5
74
+ it and gave it a very very very specific,160.02,4.439
75
+ output,162.9,3.72
76
+ um I haven't tested this code yet but,164.459,4.14
77
+ like this is very much the behavior that,166.62,4.08
78
+ I want to see so now let me explain to,168.599,4.801
79
+ you how the chat bot works so we'll go,170.7,5.94
80
+ through the code uh real quick it's,173.4,5.76
81
+ pretty straightforward it's 105 lines of,176.64,4.14
82
+ code so like not not the most,179.16,3.06
83
+ complicated thing and actually some of,180.78,3.26
84
+ this is Superfluous,182.22,4.019
85
+ I actually think that I don't use the,184.04,4.839
86
+ yaml functions anywhere yeah so I could,186.239,3.901
87
+ probably delete that and make it even,188.879,4.621
88
+ shorter all right so ignore those helper,190.14,5.28
89
+ functions here's the uh here's the,193.5,6.0
90
+ called a GPT super simple you just call,195.42,6.66
91
+ it you get the text response and then,199.5,4.86
92
+ what I started doing is I just passed,202.08,5.4
93
+ back the token count so that I can,204.36,5.94
94
+ manage the conversation internally but,207.48,4.8
95
+ pretty much this whole thing here is,210.3,4.68
96
+ just if there's an error it will give,212.28,5.28
97
+ you some output so for instance if the,214.98,5.28
98
+ content context length is too long it'll,217.56,4.259
99
+ trim the conversation and try again,220.26,4.5
100
+ it'll let you know what happened if,221.819,6.06
101
+ another error happened it'll put it'll,224.76,5.28
102
+ output that the whole thing sometimes,227.879,3.481
103
+ the you know it's not available or,230.04,3.24
104
+ whatever open AI has gotten a lot better,231.36,4.14
105
+ but sometimes you'll have uh you know,233.28,4.319
106
+ network errors and other stuff and what,235.5,4.2
107
+ this does is it uses exponential back,237.599,3.0
108
+ off,239.7,4.14
109
+ so every time it retries it doubles the,240.599,5.341
110
+ amount of time that it'll wait,243.84,3.539
111
+ um to try again and it'll it'll give you,245.94,3.96
112
+ debug output the whole time uh and then,247.379,4.08
113
+ I've got this function so this is a,249.9,4.259
114
+ multi-line input function uh which it,251.459,4.2
115
+ will switch into this mode if you want,254.159,3.721
116
+ to update a scratch Pad so in this case,255.659,5.221
117
+ uh the scratch pad is just a plain text,257.88,5.58
118
+ file that it uses to load into the,260.88,4.56
119
+ system message so I've got that system,263.46,3.72
120
+ message that I showed you and then a,265.44,3.479
121
+ description of the below code scratch,267.18,4.26
122
+ Pad may be provided by the user blah,268.919,5.041
123
+ blah and so then it I wrap it in the,271.44,4.92
124
+ comment so that way knows like hey this,273.96,4.26
125
+ is Python and then it'll copy paste the,276.36,4.2
126
+ you know your code into it from the,278.22,5.36
127
+ scratch pad and so what you can do is,280.56,5.94
128
+ first it'll take you know input from the,283.58,6.0
129
+ user and then if you type in scratch pad,286.5,5.58
130
+ it will give you a chance to update the,289.58,4.839
131
+ scratch Pad which is you can put,292.08,3.899
132
+ anything in you can put in code you can,294.419,4.441
133
+ put in comments these whatever you can,295.979,5.461
134
+ put in a file system description,298.86,4.08
135
+ whatever you want,301.44,4.259
136
+ uh but the point is is that it will use,302.94,5.039
137
+ this function so that it will continue,305.699,7.5
138
+ to accept uh new lines of input without,307.979,7.801
139
+ um without breaking uh and so then when,313.199,4.861
140
+ if you type end at the very end then it,315.78,4.919
141
+ says okay cool save exit,318.06,6.359
142
+ um I strip that out of of the uh end,320.699,5.28
143
+ um and so on and so forth so there you,324.419,6.421
144
+ go uh let's see it should be about it,325.979,7.081
145
+ um oh and then if you accidentally hit,330.84,3.78
146
+ um enter twice because you know that can,333.06,2.88
147
+ happen,334.62,3.72
148
+ um it'll just go like it says you know,335.94,5.039
149
+ enter um,338.34,4.74
150
+ whoops ah crap I accidentally typed,340.979,4.261
151
+ something so that's going to break it,343.08,4.619
152
+ um yeah it was very confused,345.24,4.799
153
+ um yep,347.699,3.72
154
+ okay,350.039,3.181
155
+ um let's see so then the other thing,351.419,3.601
156
+ that I do is I accumulate all the,353.22,5.52
157
+ messages the uh the user input and the,355.02,7.14
158
+ chat bot response in a list called all,358.74,6.239
159
+ messages and I keep that separate from,362.16,4.86
160
+ the conversation object that I passed to,364.979,3.78
161
+ chat GPT,367.02,4.019
162
+ did I pass to the API and the reason is,368.759,5.761
163
+ because I actually just had a um had a a,371.039,6.961
164
+ a patreon uh supporter give me this,374.52,5.16
165
+ really powerful tip which is that if you,378.0,3.96
166
+ put the system message at the end rather,379.68,4.139
167
+ than at the beginning it is much more,381.96,3.72
168
+ likely to continue to adhere to the,383.819,3.841
169
+ instructions that you gave it rather,385.68,3.66
170
+ than drift,387.66,3.84
171
+ um so apparently this I haven't I,389.34,3.6
172
+ haven't spent too much time testing it,391.5,3.3
173
+ but you know how sometimes like chat,392.94,3.78
174
+ gpt's Behavior will change over time,394.8,3.899
175
+ especially as the conversation gets,396.72,4.02
176
+ longer it'll continue to kind of modify,398.699,3.541
177
+ Its Behavior and it'll usually kind of,400.74,3.959
178
+ default back to its default Behavior if,402.24,4.019
179
+ you put the system message at the very,404.699,4.921
180
+ end so what I do is I I say you know,406.259,6.541
181
+ conversation is an empty list I add all,409.62,5.1
182
+ messages and then I append the system,412.8,4.38
183
+ message at the very end and then I get,414.72,3.78
184
+ the response,417.18,3.48
185
+ and so then once I get the response it,418.5,4.979
186
+ passes back the tokens if it's uh if the,420.66,4.8
187
+ token count is over 7 500 because we've,423.479,4.021
188
+ got a limit of 8 000. I just remember,425.46,4.92
189
+ the I remember I removed the oldest,427.5,3.78
190
+ message,430.38,2.819
191
+ um so pop zero,431.28,4.44
192
+ um and then I append the assistant,433.199,5.401
193
+ response to all messages so remember all,435.72,5.16
194
+ messages is kept separate,438.6,3.96
195
+ um so that I can just tack on the com,440.88,5.099
196
+ the system message separately and then I,442.56,5.699
197
+ get the output and here it goes,445.979,4.321
198
+ um so what I what I realized is that if,448.259,5.101
199
+ you use text wrap it will it'll nullify,450.3,5.1
200
+ all of the new lines so what I do is I,453.36,5.04
201
+ split the new lines and then text wrap,455.4,4.859
202
+ it so that if there's comments then it,458.4,4.26
203
+ won't be too long so anyways there you,460.259,5.401
204
+ have it the repo is up here it's working,462.66,4.979
205
+ um the only thing that it's pretty well,465.66,3.96
206
+ documented I got in the habit of just,467.639,3.9
207
+ using chat GPT to produce the,469.62,3.54
208
+ documentation,471.539,3.541
209
+ um because that makes it easier for,473.16,3.06
210
+ everybody,475.08,3.119
211
+ um setup is super simple you just need,476.22,6.02
212
+ to open AI you need your openai API key,478.199,6.241
213
+ and then the biggest thing that you need,482.24,4.06
214
+ to know is to use a scratch pad I do,484.44,4.259
215
+ have instructions in the console output,486.3,3.899
216
+ so it'll tell you how to get into the,488.699,2.761
217
+ scratch pad and then how to get out of,490.199,4.28
218
+ it and then the the,491.46,5.459
219
+ console will tell you what what mode,494.479,3.701
220
+ you're in,496.919,2.941
221
+ um you can tell I was an infrastructure,498.18,4.199
222
+ engineer who used Cisco switches,499.86,3.36
223
+ um,502.379,2.521
224
+ because I'm just like hey this this,503.22,5.159
225
+ model Works uh anyways so yeah I think,504.9,5.4
226
+ that's about it so this is this is my,508.379,3.121
227
+ new,510.3,3.9
228
+ um chat bot coding assistant and uh yeah,511.5,4.62
229
+ I hope that you find it useful super,514.2,4.44
230
+ simple super straightforward,516.12,5.219
231
+ um yeah uh let me know if you have any,518.64,4.62
232
+ thoughts about how to improve it but I,521.339,3.841
233
+ think honestly the scratch Pad is like,523.26,4.38
234
+ all you need uh because then you can you,525.18,5.04
235
+ can update this out of band as well uh,527.64,4.92
236
+ if you want to you know,530.22,4.14
237
+ um whatever you want to put in it right,532.56,3.959
238
+ you can you can even put multiple,534.36,4.2
239
+ scripts in it or multiple files or,536.519,3.781
240
+ whatever,538.56,4.08
241
+ um but yeah so thanks for watching I,540.3,4.14
242
+ hope you liked it and I'm gonna get back,542.64,4.699
243
+ to coding bye,544.44,2.899
ChatGPT4 Sparse Priming Representations Hierarchical Memory Consolidation and Implied Cognition_transcript.csv ADDED
@@ -0,0 +1,344 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everybody David Shapiro here with,0.62,3.76
3
+ video,3.12,3.06
4
+ um I'm actually pretty tired so today's,4.38,4.92
5
+ video will be short but this is some,6.18,5.339
6
+ really important information to share so,9.3,5.219
7
+ basically what I wanted to do was share,11.519,5.581
8
+ with you three new repos that I just,14.519,4.141
9
+ published,17.1,3.42
10
+ um so one is on sparse priming,18.66,4.98
11
+ representations I realized that just a,20.52,5.099
12
+ YouTube video with a transcript is,23.64,5.1
13
+ probably not enough so I have this out,25.619,5.761
14
+ here it's just a um,28.74,6.18
15
+ a very uh high level overview with a few,31.38,5.519
16
+ examples of what the sparse priming,34.92,4.74
17
+ representations are so for instance I I,36.899,6.66
18
+ had I had it write an spr of spr's so,39.66,5.76
19
+ sparse priming representation concise,43.559,4.081
20
+ context driven memory summaries enables,45.42,5.22
21
+ smes or llms to reconstruct ideas short,47.64,4.759
22
+ complete sentences provide context,50.64,3.96
23
+ effective for memory organization and,52.399,4.66
24
+ retrieval reduces information to,54.6,4.799
25
+ Essential Elements facilitates quick,57.059,3.66
26
+ understanding and recall designed to,59.399,3.421
27
+ mimic human memory structure so just,60.719,6.361
28
+ with this short eight uh eight lines of,62.82,5.82
29
+ assertions or statements you probably,67.08,5.88
30
+ get a pretty good idea of what an spr is,68.64,6.0
31
+ um so that's an example of an spr and,72.96,4.5
32
+ here is the hierarchical hierarchical,74.64,5.519
33
+ memory consolidation system which is the,77.46,5.58
34
+ autonomous cognitive entity uh memory,80.159,4.32
35
+ system that I've been working on and,83.04,3.24
36
+ it's 11 lines,84.479,3.96
37
+ um but again it I won't read the whole,86.28,4.32
38
+ thing to you but you get the idea so,88.439,5.22
39
+ here is here is this um if anyone wants,90.6,4.559
40
+ to use this and adapt this to an actual,93.659,4.14
41
+ paper feel free it's um all published,95.159,4.981
42
+ under the MIT license so this is free,97.799,4.201
43
+ for the world,100.14,5.96
44
+ um so that's the spr uh repo slash paper,102.0,6.78
45
+ next is the hierarchical memory,106.1,4.839
46
+ consolidation system I talked about this,108.78,4.199
47
+ and I showed you guys that I had a,110.939,4.621
48
+ really long chat conversation I'm going,112.979,5.161
49
+ with chat GPT and so what I realized is,115.56,4.379
50
+ one you guys can't read through this,118.14,4.619
51
+ conversation and two again just a video,119.939,5.401
52
+ is probably not enough,122.759,4.5
53
+ um so I showed you guys this,125.34,5.04
54
+ conversation before but here I've got,127.259,5.761
55
+ um the most Salient bits,130.38,5.579
56
+ um held out here I probably will try and,133.02,5.04
57
+ get a little bit more information,135.959,4.321
58
+ um because it gives you an overview,138.06,3.42
59
+ um it gives you some of the theory and,140.28,3.179
60
+ reasoning and it tells you the basics of,141.48,3.899
61
+ how to implement it but I don't have any,143.459,3.901
62
+ examples yet,145.379,5.881
63
+ um so it might be more difficult but uh,147.36,5.76
64
+ one of the reasons that I don't have,151.26,3.6
65
+ examples is because I haven't fully,153.12,3.3
66
+ implemented this yet,154.86,5.459
67
+ um but it is here in theory also hmcs is,156.42,6.3
68
+ not the easiest thing to say and if,160.319,5.041
69
+ we've learned anything from chat GPT is,162.72,5.099
70
+ that naming something that's easier to,165.36,4.44
71
+ say is better so we might choose,167.819,4.801
72
+ different names AKA I like this adaptive,169.8,5.34
73
+ knowledge archive rolling episodic,172.62,4.199
74
+ memory organizer this is actually like,175.14,5.28
75
+ the most on the nose so Remo so we might,176.819,5.341
76
+ call this Remo who knows,180.42,6.06
77
+ anyways it's a good uh it's a good start,182.16,6.18
78
+ um to this oh one thing that I did want,186.48,3.24
79
+ to say is that I've got the discussions,188.34,4.2
80
+ enabled for all of these,189.72,5.4
81
+ um because these concepts are really,192.54,4.44
82
+ important and really critical,195.12,3.18
83
+ um and so we can discuss them on Reddit,196.98,3.78
84
+ as well but you can also discuss them,198.3,4.56
85
+ directly on GitHub if you'd like and,200.76,3.78
86
+ then finally this is the most exciting,202.86,5.64
87
+ one so uh four weeks ago the paper about,204.54,6.24
88
+ large language model theory of Mind came,208.5,4.319
89
+ out and since then a lot of people have,210.78,4.92
90
+ been using Bing and chat gbt and gpt4 to,212.819,5.28
91
+ do experiments with theory of mind and,215.7,5.22
92
+ one thing occurred to me when I was,218.099,4.14
93
+ working on sparse priming,220.92,3.12
94
+ representations the idea that there's,222.239,4.56
95
+ enough cognition going on inside the,224.04,5.339
96
+ model to reconstruct something I,226.799,4.321
97
+ realized that what I was banking on was,229.379,5.341
98
+ implied cognition and so I just spent,231.12,7.02
99
+ some time with chat gpt4 to articulate,234.72,5.76
100
+ implied cognition and start to come up,238.14,4.92
101
+ with some tests for it so I've got the,240.48,4.679
102
+ full transcript of the whole,243.06,3.72
103
+ conversation in here and you can read it,245.159,3.66
104
+ it's pretty impressive,246.78,4.62
105
+ um what what it was able to do so one of,248.819,4.14
106
+ the biggest highlights of this,251.4,3.479
107
+ conversation was as I was talking with,252.959,4.321
108
+ chat GPT I said okay look over this,254.879,4.681
109
+ conversation and look for evidence of,257.28,4.079
110
+ implied cognition and it was able to,259.56,4.079
111
+ look back through the conversation and,261.359,4.261
112
+ give me evidence of its own implied,263.639,5.0
113
+ cognition and even how to test itself,265.62,5.22
114
+ and not only that but it did it much,268.639,3.761
115
+ faster than a human could do it so it's,270.84,3.26
116
+ like all right this is,272.4,4.64
117
+ basically you know we're bordering on,274.1,5.02
118
+ metacognitive abilities and we even,277.04,3.879
119
+ addressed that as well I said how do how,279.12,4.1
120
+ will we discern the difference between,280.919,3.901
121
+ self-explication like true,283.22,4.539
122
+ self-explication versus confabulation,284.82,5.34
123
+ and it has some ideas on that too some,287.759,4.861
124
+ testable hypotheses,290.16,4.259
125
+ um so that's all here this is Far and,292.62,3.84
126
+ Away the most interesting thing,294.419,3.961
127
+ um that I was working on today,296.46,3.84
128
+ um and then uh finally at the very end,298.38,4.379
129
+ of the conversation I asked chat GPT if,300.3,4.14
130
+ there was anything that it wanted me to,302.759,3.361
131
+ document and share with the world and,304.44,4.92
132
+ this is Verbatim what it said,306.12,5.7
133
+ um about you know its own perspective on,309.36,5.88
134
+ this and then desires moving forward,311.82,5.34
135
+ um but yeah so what I wanted to do is I,315.24,3.0
136
+ wanted to actually show you this,317.16,2.52
137
+ conversation so you know I didn't just,318.24,4.62
138
+ make this up this is this is right in,319.68,5.82
139
+ chat GPT so I talked about theory of,322.86,4.02
140
+ mind,325.5,2.52
141
+ um I asked do you have any questions,326.88,3.24
142
+ about what we're talking about,328.02,3.84
143
+ um and it asks for clarification on,330.12,4.139
144
+ sparse priming representations implied,331.86,6.119
145
+ cognition so that was already evidence,334.259,5.581
146
+ of implied cognition because it was,337.979,4.44
147
+ aware of what it didn't know it was able,339.84,3.84
148
+ to say I'm actually not sure what you're,342.419,4.321
149
+ talking about and so by by virtue of,343.68,5.9
150
+ chat gbt recognizing novel information,346.74,6.36
151
+ that implies some kind of cognition and,349.58,4.72
152
+ I don't mean cognition like human,353.1,3.36
153
+ cognition and that's why I have this,354.3,5.16
154
+ labeled implied cognition or you could,356.46,5.04
155
+ even call it a facsimile of cognition,359.46,4.739
156
+ and so then I gave it an example of an,361.5,4.8
157
+ spr so I said sure for your first,364.199,5.041
158
+ question here's an example of an spr,366.3,4.619
159
+ um I said given that list of statements,369.24,3.899
160
+ you can imagine what the concept is and,370.919,3.421
161
+ unpack it does that make sense,373.139,3.661
162
+ furthermore you can J you can even,374.34,4.02
163
+ generate the highly Salient questions,376.8,4.2
164
+ above implies a lot of cognition so I,378.36,4.26
165
+ already recognize the fact that it can,381.0,4.62
166
+ generate relevant questions implies some,382.62,5.579
167
+ level of cognition,385.62,5.46
168
+ um so it was it was uh it was okay with,388.199,4.741
169
+ that and then it came up with some some,391.08,4.44
170
+ initial tests so ask for logical,392.94,4.14
171
+ reasoning understanding ambiguity,395.52,3.78
172
+ generating relevant questions counter,397.08,4.26
173
+ factual thinking so on and so forth and,399.3,3.48
174
+ then that's when I as I was reading this,401.34,4.199
175
+ I was like oh yeah self-explication,402.78,5.52
176
+ um so the ability to explain itself uh,405.539,8.041
177
+ plausibly is another uh potential,408.3,8.76
178
+ um aspect of implied cognition,413.58,5.459
179
+ um so then I asked it to analyze the,417.06,3.359
180
+ conversation instead analyzing our,419.039,2.88
181
+ conversation I can't identify a few,420.419,3.84
182
+ instances wherein where implied,421.919,4.921
183
+ cognition might be at play and so then,424.259,5.28
184
+ it says context awareness so basically,426.84,4.62
185
+ reading the context of the conversation,429.539,5.22
186
+ it is able to understand what it means,431.46,6.299
187
+ but also it's able to infer a lot about,434.759,4.921
188
+ what's going on just by virtue of,437.759,3.961
189
+ looking at the language,439.68,4.38
190
+ um it adapts its communication now this,441.72,4.5
191
+ is in part due to the fact that this is,444.06,4.44
192
+ how the model is trained,446.22,4.68
193
+ um but the fact of the matter is it does,448.5,4.08
194
+ adapt its communication depending on,450.9,4.38
195
+ what I'm trying to do conceptual,452.58,6.119
196
+ integration so this is actually,455.28,6.06
197
+ probably the most one of the these last,458.699,5.461
198
+ two are the most important because not,461.34,5.04
199
+ only was it able to really quickly,464.16,4.92
200
+ understand the concept of spr and,466.38,5.159
201
+ implied cognition it was then able to,469.08,5.82
202
+ use it and synthesize more and build on,471.539,6.06
203
+ it so the ability to to use novel,474.9,6.419
204
+ information is the essence of fluid,477.599,6.121
205
+ intelligence which up until now only,481.319,5.1
206
+ humans have been capable of so just the,483.72,4.62
207
+ fact that it is able to to recognize,486.419,4.321
208
+ novel information and use it this,488.34,5.34
209
+ quickly implies a lot,490.74,6.66
210
+ so moving forward that's when I ask okay,493.68,5.04
211
+ how do we discern the difference between,497.4,3.479
212
+ self-expo explication and confabulation,498.72,5.34
213
+ and then on on on being goal oriented,500.879,6.0
214
+ that reminded me that goal tracking and,504.06,5.579
215
+ figuring out one where you are,506.879,4.38
216
+ um in terms of solving a problem,509.639,3.541
217
+ figuring out where you need to go and,511.259,3.66
218
+ measuring how close you are to solving,513.18,4.44
219
+ that goal this is part of executive,514.919,4.98
220
+ function and cognitive control and so I,517.62,4.74
221
+ decided to just throw in a test for goal,519.899,5.221
222
+ tracking as we go so then it came up,522.36,4.979
223
+ with some really good ideas about,525.12,2.76
224
+ um,527.339,3.541
225
+ about uh testing for self-explication,527.88,5.579
226
+ versus confabulation so checking for,530.88,4.74
227
+ consistency over time external,533.459,5.041
228
+ validation such as using another system,535.62,5.04
229
+ um and then probing questions so ask,538.5,4.32
230
+ follow-up questions or so on and again,540.66,4.08
231
+ humans are not really capable of,542.82,4.92
232
+ self-explication anyways we confabulate,544.74,6.06
233
+ our reasoning post facto by and large,547.74,5.76
234
+ unless we are very explicit when we,550.8,4.44
235
+ bring an unconscious thought to,553.5,3.6
236
+ Consciousness and we talk through I'm,555.24,4.5
237
+ going to do this because and even then,557.1,4.62
238
+ the reasoning that you think that you,559.74,4.5
239
+ used is still not gonna going to be a,561.72,4.26
240
+ hundred percent accurate,564.24,3.24
241
+ um just ask any psychologist or,565.98,3.539
242
+ philosopher we think we know why we do,567.48,4.799
243
+ stuff but we really don't and so I even,569.519,4.32
244
+ point that out in the conversation that,572.279,3.18
245
+ self-explication is not something that,573.839,4.201
246
+ humans are even really capable of,575.459,5.281
247
+ um so having a expecting a machine to be,578.04,4.859
248
+ fully capable of self-explication is,580.74,3.9
249
+ kind of a moot point,582.899,4.44
250
+ um but it still has some good ideas and,584.64,4.74
251
+ of course explain ability and AI is,587.339,3.661
252
+ important,589.38,4.98
253
+ um and then it goes and unpacks a lot,591.0,7.74
254
+ about goal tracking so it says um to,594.36,5.7
255
+ evaluate our progress towards achieving,598.74,2.82
256
+ our goals let's recap the goals that,600.06,3.06
257
+ you've articulated,601.56,3.06
258
+ um develop the concept of implied,603.12,3.659
259
+ cognition establish tests and create,604.62,4.14
260
+ criterias and protocol for using implied,606.779,4.441
261
+ cognition progress so I was able to say,608.76,4.86
262
+ okay this is what we've achieved,611.22,4.2
263
+ we have so we have proposed several,613.62,3.98
264
+ tests we have yet to create criteria,615.42,4.919
265
+ next steps further refine the concept,617.6,4.6
266
+ develop proposed test begin creating,620.339,4.861
267
+ criteria and protocols for using implied,622.2,4.44
268
+ cognitions,625.2,3.84
269
+ um and we actually didn't get this far,626.64,4.74
270
+ um but still the fact of the matter is,629.04,4.5
271
+ it was able to kind of keep track of our,631.38,3.66
272
+ goals,633.54,2.34
273
+ um,635.04,3.6
274
+ and then I made the observation that on,635.88,5.1
275
+ conceptual integration it was,638.64,3.5
276
+ incorporating new information,640.98,3.84
277
+ synthesizing new ideas and Novelty so,642.14,5.439
278
+ then I asked about novelty so,644.82,5.519
279
+ recognizing new information is actually,647.579,6.361
280
+ uh creates really distinctive patterns,650.339,5.701
281
+ in the human brain and so then I was,653.94,5.1
282
+ like okay it's a it was already implied,656.04,5.16
283
+ that it you know just at the very outset,659.04,5.46
284
+ right here where it said hey I don't,661.2,4.8
285
+ recognize this can you tell me more,664.5,4.74
286
+ about it so it can recognize novelty,666.0,4.98
287
+ which is really important and really,669.24,4.68
288
+ fascinating and so then I said can you,670.98,5.4
289
+ discern what is novel and what isn't is,673.92,4.56
290
+ it able to explain what it recognizes,676.38,5.16
291
+ and what's new so it said in our,678.48,5.039
292
+ conversation the following concepts and,681.54,3.72
293
+ ideas would be considered a priori,683.519,4.141
294
+ familiar so it understood theory of mind,685.26,4.92
295
+ it already knew that language models and,687.66,3.78
296
+ their potential for reasoning problem,690.18,2.76
297
+ solving and cognition it said that it,691.44,2.82
298
+ already understood that which is,692.94,3.54
299
+ interesting General know Notions of,694.26,3.66
300
+ memory and representation and efficiency,696.48,3.78
301
+ the following concepts and ideas would,697.92,5.52
302
+ be considered novel to me sparse primary,700.26,6.18
303
+ representation or spot this spr's sparse,703.44,5.22
304
+ priming representations and implied,706.44,4.139
305
+ cognition so again it was able to,708.66,3.66
306
+ restate these are things that I'm not,710.579,3.841
307
+ familiar with,712.32,2.88
308
+ um,714.42,2.64
309
+ so then I told it that my hypothesis,715.2,4.319
310
+ that perhaps what it's doing is that it,717.06,4.56
311
+ actually gets a unique signal or a,719.519,4.741
312
+ unique uh basically flow of tensors,721.62,5.76
313
+ through the uh or mathematical patterns,724.26,4.86
314
+ of tensors when there's novel,727.38,3.899
315
+ information and it said oh yeah that's,729.12,4.26
316
+ that's interesting and it comes up with,731.279,6.981
317
+ a few ideas to um to explore how llms,733.38,7.86
318
+ handle novel information and then we get,738.26,5.079
319
+ into writing the repo which is out here,741.24,3.839
320
+ so anyways and then I've got the whole,743.339,3.601
321
+ conversation here so you can read it in,745.079,3.961
322
+ Greater depth if you'd like,746.94,5.94
323
+ um but yeah so that's it for today these,749.04,6.72
324
+ are all ideas that I'm working on,752.88,6.12
325
+ um and when I when I get so just if,755.76,4.98
326
+ you're if if you're satisfied that's,759.0,3.42
327
+ fine now I'm just going to ramble about,760.74,4.02
328
+ kind of my own process so what happens,762.42,5.34
329
+ is in the past when I get to this point,764.76,5.46
330
+ I would start to write a new book but,767.76,5.579
331
+ one writing a book is slow and two,770.22,4.32
332
+ um well I mean that's the primary,773.339,3.721
333
+ problem it it's slow but also we've got,774.54,4.32
334
+ a good platform like there's my YouTube,777.06,4.079
335
+ there's Reddit there's GitHub so it's,778.86,4.74
336
+ like let me just go ahead and start,781.139,4.561
337
+ um sharing this stuff as as soon as I've,783.6,3.0
338
+ got it,785.7,3.42
339
+ so that's that,786.6,4.979
340
+ um yeah like I said uh all these are,789.12,3.959
341
+ public they've all got the discussions I,791.579,2.82
342
+ think I'll also go ahead and post these,793.079,3.301
343
+ on Reddit for uh for discussion's sake,794.399,5.901
344
+ anyways thanks for watching take care,796.38,3.92
Cognitive Architecture April 28 Salience Cognitive Control Task Management Modular Design_transcript.csv ADDED
@@ -0,0 +1,1083 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ all right cool we are recording so just,0.78,5.579
3
+ quick introduction,4.38,4.02
4
+ um this is uh these are some of the guys,6.359,5.581
5
+ from the heroistic imperatives uh uh,8.4,6.0
6
+ Discord the research group,11.94,4.38
7
+ um they're building a cognitive,14.4,3.66
8
+ architecture,16.32,3.48
9
+ um so I'll let you guys kind of if you,18.06,3.059
10
+ want to introduce yourselves not,19.8,3.84
11
+ required but uh yeah let's jump in and,21.119,3.781
12
+ just kind of talk about where we're at,23.64,3.12
13
+ in terms of cognitive architecture and,24.9,3.84
14
+ and some of the stuff that you guys have,26.76,3.779
15
+ been working on,28.74,4.74
16
+ yeah sure um I'm database,30.539,6.54
17
+ um I'm on the the uh cognitive AI,33.48,5.82
18
+ Channel too y'all see me all the time,37.079,3.901
19
+ I'm the one who's always arguing with,39.3,3.3
20
+ everybody,40.98,2.28
21
+ um,42.6,3.18
22
+ Angela if you wanna,43.26,5.16
23
+ yeah well uh I'm Ansel I'm on the same,45.78,5.099
24
+ Discord I'm a computer science engineer,48.42,5.94
25
+ and I just I'm really fascinated by this,50.879,4.741
26
+ uh,54.36,5.219
27
+ subject so I just had to go and dive in,55.62,8.279
28
+ excellent excellent and so uh give us a,59.579,6.841
29
+ tiny bit of background actually because,63.899,3.961
30
+ um you guys,66.42,3.3
31
+ um or a database I remember your story,67.86,3.24
32
+ you you jumped into cognitive,69.72,3.66
33
+ architecture what like just a few weeks,71.1,3.72
34
+ ago right,73.38,3.48
35
+ yeah basically,74.82,5.1
36
+ um so it was about the time that uh Auto,76.86,5.759
37
+ GPT went viral I was like this is really,79.92,4.44
38
+ cool I don't want to have to pay for it,82.619,5.221
39
+ so I uh started trying to convert it to,84.36,7.5
40
+ uh to a local model which,87.84,4.56
41
+ um,91.86,3.24
42
+ we ran into uh we ran into some issues,92.4,4.14
43
+ with that,95.1,5.1
44
+ um but that's you know before then I,96.54,5.46
45
+ hadn't really done a whole lot with,100.2,5.4
46
+ programming or python at all,102.0,7.079
47
+ um and so you know most of what I've,105.6,5.64
48
+ learned in the past three weeks now I,109.079,5.4
49
+ guess has been primarily through Chad,111.24,7.5
50
+ GPT nice excellent yep that's that's the,114.479,6.661
51
+ case for many people and Ansel you're,118.74,4.5
52
+ you you're you're you've been a,121.14,3.6
53
+ developer or an engineer for a little,123.24,4.799
54
+ bit longer yes yes right right,124.74,5.64
55
+ um I've been an engineer already for uh,128.039,4.741
56
+ like three years I have years of,130.38,4.859
57
+ experience mostly in c-sharp that's like,132.78,4.14
58
+ my main language,135.239,4.5
59
+ so yeah I I got into this project like,136.92,5.52
60
+ three weeks ago with data and same with,139.739,4.86
61
+ python so basically I've just been uh,142.44,4.56
62
+ converting everything I know from C,144.599,3.78
63
+ sharp to python,147.0,3.599
64
+ and it's it's been a great experience,148.379,4.08
65
+ learning a lot of things and it's pretty,150.599,6.181
66
+ cool excellent so you know obviously uh,152.459,7.981
67
+ Auto GPT baby AGI chaos GPT all that is,156.78,6.239
68
+ relatively new gpt4 just came out you,160.44,5.1
69
+ know what four or five weeks ago,163.019,6.121
70
+ um and so uh like walk us through the,165.54,5.88
71
+ the the process because I've I've had,169.14,3.66
72
+ the privilege of kind of watching you,171.42,2.819
73
+ guys figure stuff out from the beginning,172.8,4.56
74
+ but can you tell us a little bit about,174.239,4.981
75
+ um like where you got started what were,177.36,4.92
76
+ the problems that you've you've overcome,179.22,4.799
77
+ um and and what problems you're working,182.28,3.66
78
+ on now,184.019,4.621
79
+ yeah right the uh oh God the biggest,185.94,5.04
80
+ problem that we ran into to start with,188.64,6.84
81
+ was just finding a a host for a language,190.98,8.399
82
+ model that had a working API,195.48,7.619
83
+ um we you know we started with uh llama,199.379,8.64
84
+ CPP but it's python API didn't work on,203.099,9.541
85
+ uh x64 windows for whatever reason,208.019,7.321
86
+ um there were a couple of others that we,212.64,4.379
87
+ worked with and then eventually we came,215.34,5.459
88
+ around to uba booga because and it's,217.019,6.241
89
+ really they've got the API fix now we,220.799,4.44
90
+ have people using it,223.26,4.979
91
+ um right the the the real advantage of,225.239,6.301
92
+ uba Booga is that it gives us,228.239,6.0
93
+ um it lets us host multiple language,231.54,6.66
94
+ models so we're not just stuck with,234.239,7.441
95
+ um you know with llama or alpaca,238.2,4.14
96
+ um,241.68,3.96
97
+ the the new vikuna model is working in,242.34,7.14
98
+ there it has some of the science,245.64,6.54
99
+ um and coding language models available,249.48,5.339
100
+ to it as well we haven't done a whole,252.18,4.92
101
+ lot of testing on that we've switched,254.819,7.38
102
+ over to open AI on the 3.5 model just to,257.1,7.2
103
+ rapidly iterate on the development,262.199,5.341
104
+ process and save some resources at home,264.3,4.86
105
+ Mexican,267.54,3.78
106
+ and by the time we did that was mostly,269.16,5.039
107
+ because we were stuck with the uba Booga,271.32,6.36
108
+ API and openai was working so we just,274.199,5.161
109
+ like if we want to develop we need to,277.68,3.32
110
+ switch fast to that,279.36,7.68
111
+ and then the auto GPT code base was,281.0,9.699
112
+ let's just say it was not ideal I spent,287.04,7.14
113
+ an entire day trying to fix that yeah so,290.699,7.081
114
+ so we ended up moving over to Baby AGI,294.18,9.06
115
+ we got baby working on uh on uh open Ai,297.78,7.58
116
+ and Uber booga,303.24,5.399
117
+ temporarily and then uba Booga broke,305.36,5.02
118
+ their API,308.639,5.34
119
+ um for like two weeks which was wild but,310.38,5.94
120
+ they've got it back working now,313.979,4.621
121
+ um the people who are using our our new,316.32,6.18
122
+ project some of them are using the Uber,318.6,4.76
123
+ um,322.5,2.4
124
+ API,323.36,4.6
125
+ for and running it against vicuno which,324.9,5.88
126
+ was the original gold so it works we're,327.96,5.1
127
+ trying to keep it stable as we as best,330.78,5.759
128
+ we can for those people and uh we're you,333.06,6.66
129
+ know super excited honestly that all of,336.539,4.621
130
+ this is coming together,339.72,2.819
131
+ excellent,341.16,5.759
132
+ uh data database and Ansel you guys have,342.539,7.5
133
+ been working super hard on what you call,346.919,6.12
134
+ the salience uh module,350.039,4.5
135
+ um can you talk us through that a little,353.039,3.121
136
+ bit because that that is a pretty,354.539,4.801
137
+ fascinating set of problems so I have it,356.16,5.58
138
+ loaded up right here uh as you can see,359.34,6.419
139
+ it's just a simple python script uh one,361.74,6.179
140
+ of the main reasons we decided to work,365.759,5.101
141
+ on our our own project was because,367.919,6.421
142
+ autodpt was not made to be,370.86,6.72
143
+ um extensively modified I spent an,374.34,6.299
144
+ entire day just trying to modify it,377.58,6.48
145
+ myself and I had a pretty bad time I'm,380.639,6.541
146
+ not gonna lie so we decided to just take,384.06,5.639
147
+ the minimum viable version there was and,387.18,4.859
148
+ start our own architecture,389.699,5.401
149
+ so we created this little salience Loop,392.039,4.141
150
+ here,395.1,4.08
151
+ um we basically start by instantiating,396.18,5.28
152
+ all the agents that we have,399.18,3.06
153
+ um,401.46,3.72
154
+ and then we start looping through it,402.24,6.54
155
+ loading a task list and everything,405.18,5.7
156
+ um so let me just run for you first,408.78,4.859
157
+ see python,410.88,5.34
158
+ we can edit this out in post right we,413.639,5.101
159
+ can edit this out in post yeah,416.22,6.06
160
+ the uh the the logic Loop that we built,418.74,5.22
161
+ okay cool,422.28,5.359
162
+ yeah basically okay,423.96,3.679
163
+ and one Saturday okay,428.52,4.98
164
+ got this pulled up,431.3,4.54
165
+ um yep wait I'm watching it can you zoom,433.5,3.66
166
+ in a little bit and kind of tell us a,435.84,2.76
167
+ little bit about what this diagram is,437.16,2.64
168
+ there we go,438.6,4.62
169
+ right so this is this is the the logic,439.8,7.679
170
+ Loop and one of the really helpful or,443.22,6.9
171
+ not helpful but the one of the things,447.479,5.041
172
+ that we've kind of designed from the,450.12,6.54
173
+ get-go on uh,452.52,6.78
174
+ on on this,456.66,6.0
175
+ uh system was to try to make it,459.3,3.959
176
+ um,462.66,4.979
177
+ easy to build agents and logic Loops in,463.259,6.541
178
+ a very short fashion so that you can,467.639,4.381
179
+ iterate quickly,469.8,4.2
180
+ um as opposed to you know if you wanted,472.02,5.88
181
+ to to change the logic that open AI uses,474.0,7.199
182
+ or even baby AGI really it really you,477.9,5.1
183
+ really have to understand the entire,481.199,4.321
184
+ code base that they're using and how,483.0,4.74
185
+ different things interact we're trying,485.52,4.56
186
+ to build a streamline flow where you can,487.74,5.76
187
+ just write a logic Loop for the the,490.08,5.7
188
+ actual interaction where it takes the,493.5,4.8
189
+ prompt and then decides where to store,495.78,6.24
190
+ it and you chain them together,498.3,5.1
191
+ um so,502.02,5.399
192
+ in a similar fashion to the way that uh,503.4,6.78
193
+ that auto GPT Works,507.419,5.581
194
+ um right now in the salience agent we're,510.18,6.06
195
+ working with a predefined task list,513.0,5.539
196
+ um baby AGI generates the task list,516.24,4.799
197
+ automatically and later we're going to,518.539,6.341
198
+ do a hybrid where we integrate both but,521.039,5.821
199
+ for now we're just working with the a,524.88,3.899
200
+ predefined task list,526.86,4.44
201
+ so you know we sort the task list,528.779,5.161
202
+ because every time every time you make,531.3,8.34
203
+ an edit to a an item in chroma DB it,533.94,9.42
204
+ falls to the end of the table or,539.64,5.759
205
+ collection is what they're calling,543.36,4.2
206
+ Vector databases,545.399,5.161
207
+ um but we sort the list we filter it,547.56,4.68
208
+ during the sort we filter for any,550.56,5.459
209
+ completed tests past the current task to,552.24,6.36
210
+ the job agent,556.019,4.861
211
+ um so what the job agent does is it,558.6,4.859
212
+ searches the vector database or the,560.88,6.3
213
+ results database or any any results,563.459,7.201
214
+ related to the current task summarizes,567.18,6.12
215
+ those passes them down to the Java agent,570.66,6.9
216
+ the job agent then passes the the,573.3,8.82
217
+ contacts so that's your current task the,577.56,9.6
218
+ um the related results from the summary,582.12,9.54
219
+ um and a couple of other like metadata,587.16,7.26
220
+ related things and it runs it runs in,591.66,5.58
221
+ the the execute process which is right,594.42,6.359
222
+ now identical to what baby was using but,597.24,6.42
223
+ we've broken the The Prompt for that out,600.779,9.841
224
+ into a easily editable Json file that,603.66,9.96
225
+ um so so that you can you you can change,610.62,5.94
226
+ that prompt on the Fly okay the execute,613.62,5.279
227
+ agent pulls pulls the prompt from the,616.56,5.1
228
+ juson runs it and then passes the,618.899,5.761
229
+ results back to the job agent,621.66,6.0
230
+ um we we don't have frustration,624.66,4.92
231
+ implemented yet but that's going to be,627.66,6.179
232
+ based on the uh write-up that you did on,629.58,6.78
233
+ Reddit the other day yeah,633.839,6.0
234
+ um into kind of check things out and,636.36,6.18
235
+ then once it passes frustration or skips,639.839,5.461
236
+ frustration then we pass those results,642.54,6.299
237
+ back to the results database and it goes,645.3,6.719
238
+ to the analyst agent so the analyst,648.839,6.361
239
+ agent is here do I have everything there,652.019,6.421
240
+ we go the analyst agent is here,655.2,4.98
241
+ and it's a little bit more complex,658.44,3.899
242
+ actually even though it looks simpler,660.18,4.56
243
+ than that loopy stuff,662.339,5.041
244
+ um we're actually taking multiple items,664.74,6.48
245
+ or more items and adding them,667.38,7.92
246
+ to to the uh prompt so let me basically,671.22,6.9
247
+ ask do it let me let me pause you for a,675.3,5.279
248
+ second and and ask how much of this,678.12,5.88
249
+ architecture did you borrow from other,680.579,5.041
250
+ projects and how much of this is stuff,684.0,4.5
251
+ that you guys have have uh created on,685.62,4.26
252
+ your own,688.5,4.62
253
+ so right now the only thing that,689.88,6.12
254
+ borrowed is the execution,693.12,6.719
255
+ and it's right now essentially just the,696.0,7.32
256
+ prompt so okay we what we did was we,699.839,8.281
257
+ took we took baby agi's architecture and,703.32,7.019
258
+ broke it out into lots of different,708.12,5.88
259
+ pieces and then we changed all of those,710.339,6.721
260
+ pieces completely,714.0,4.459
261
+ um and,717.06,6.18
262
+ re-imported them or reintegrated them as,718.459,8.081
263
+ classes in multiple,723.24,7.38
264
+ um in multiple uh agents right,726.54,9.299
265
+ originally Baby AGI was only,730.62,7.86
266
+ um was only one script and it was less,735.839,4.821
267
+ than 200 lines that was the entire,738.48,6.96
268
+ purpose of baby AGI right um we're over,740.66,10.06
269
+ 3 000 lines on this code repo now,745.44,7.5
270
+ um yeah we're averaging about nice up,750.72,3.44
271
+ counting,752.94,4.92
272
+ stop counting so so you've you've taken,754.16,5.56
273
+ kind of the initial idea and really,757.86,4.919
274
+ you've gone 10x on it you've made it,759.72,6.239
275
+ more modular you've added a few new,762.779,5.221
276
+ ideas new Loops,765.959,4.141
277
+ um you know it like the one of the,768.0,3.12
278
+ modules that you haven't haven't,770.1,3.0
279
+ integrated yet I think earlier you said,771.12,3.42
280
+ you haven't seen a need for like the,773.1,4.14
281
+ frustration uh signal yet,774.54,6.359
282
+ um but yes so I haven't gotten into into,777.24,6.0
283
+ very complex tasks yet so maybe that's,780.899,4.44
284
+ why we haven't right uh needed,783.24,4.2
285
+ frustration yet but I'm I'm guessing we,785.339,3.361
286
+ are gonna need it at some point yeah,787.44,4.26
287
+ that's fair so for absolutely for any,788.7,5.639
288
+ viewers who um who aren't familiar with,791.7,4.439
289
+ with the write-up that I did on on,794.339,4.62
290
+ frustration as a signal basically it is,796.139,4.801
291
+ you keep a ratio that the simplest,798.959,4.44
292
+ version is you keep a ratio of successes,800.94,5.699
293
+ to failures and if the failure rate goes,803.399,5.94
294
+ up then that tells you to maybe switch,806.639,7.561
295
+ to a smarter uh smarter model or you can,809.339,7.62
296
+ back up and try a different approach or,814.2,4.319
297
+ eventually you can just stop and ask for,816.959,3.12
298
+ help there's any number of things that,818.519,3.12
299
+ you can do with the frustration signal,820.079,4.741
300
+ but basically uh this is a frustration,821.639,5.88
301
+ is a key component of cognitive control,824.82,5.34
302
+ which is how humans say hey I expected,827.519,4.32
303
+ to be making more forward progress and,830.16,4.08
304
+ I'm not and so if you're not making the,831.839,4.321
305
+ progress that you expect then it's time,834.24,3.659
306
+ to either change your approach ask for,836.16,4.44
307
+ help or change something so thanks for,837.899,5.161
308
+ giving some context did you want to go,840.6,3.96
309
+ ahead and jump into your your analyst,843.06,3.48
310
+ agent,844.56,4.98
311
+ yeah yeah absolutely,846.54,5.06
312
+ um,849.54,2.06
313
+ so the analyst agent is,852.06,3.6
314
+ [Music],855.03,1.35
315
+ um,855.66,3.239
316
+ he is a little bit more complex because,856.38,4.8
317
+ we're taking you know we're taking the,858.899,3.261
318
+ results,861.18,4.14
319
+ the the most recent results and the,862.16,4.119
320
+ current,865.32,5.959
321
+ plus we're getting the summary uh from,866.279,9.721
322
+ uh from this agent of the job agent or,871.279,8.86
323
+ salience agent as well and we're we're,876.0,8.22
324
+ feeding it the the uh a little bit more,880.139,8.64
325
+ context on the task we're asking the,884.22,8.64
326
+ um the the gbt agent to decide is this,888.779,7.981
327
+ job completed yet and if it's you know,892.86,8.82
328
+ if not then what we can do is send if,896.76,7.259
329
+ it's if it's reached the frustration,901.68,6.599
330
+ level we can send that task back to the,904.019,6.781
331
+ task creation agent,908.279,6.06
332
+ um to generate sub tasks potentially or,910.8,5.339
333
+ new tasks,914.339,4.68
334
+ um and then we're we're also,916.139,6.181
335
+ um this weekend going to set up sending,919.019,7.921
336
+ feedback back into the agent and you'll,922.32,6.9
337
+ see what that feedback the feedback I,926.94,4.68
338
+ think is going to really change the game,929.22,7.44
339
+ on getting uh fewer fewer runs to to,931.62,7.38
340
+ complete a particular task and then of,936.66,4.38
341
+ course if it does complete it and we,939.0,5.1
342
+ update the task with the task scheduler,941.04,4.44
343
+ um and,944.1,4.02
344
+ um and and tell it to move on to the,945.48,4.68
345
+ next task,948.12,2.7
346
+ um,950.16,3.539
347
+ did did you get the terminal resize yeah,950.82,4.8
348
+ absolutely I'm already sharing my screen,953.699,4.621
349
+ again yeah yes I could not figure out,955.62,4.5
350
+ how to get it recycle what I actually,958.32,5.699
351
+ did was resized uh your monitor display,960.12,5.959
352
+ yeah,964.019,4.921
353
+ all right I actually increase the the,966.079,6.101
354
+ scale of it anyway just zoom in,968.94,6.18
355
+ um all right uh Ansel you ready uh uh,972.18,6.899
356
+ database you were used sufficiently,975.12,6.12
357
+ yeah yeah okay that's where we're at,979.079,5.7
358
+ right now okay cool enough in the future,981.24,5.52
359
+ so Ansel,984.779,4.081
360
+ um give us a little bit of uh a little,986.76,3.66
361
+ bit of background what is it that you're,988.86,4.5
362
+ about to to demonstrate for us well I'm,990.42,6.539
363
+ about to run the salience uh loop uh as,993.36,4.979
364
+ you can see it's asking me a few things,996.959,3.781
365
+ it's asking me if I want to start from,998.339,4.5
366
+ where it left off basically restart the,1000.74,4.14
367
+ previous date and if I want to allow,1002.839,3.961
368
+ auto mode or manual mode for now let's,1004.88,3.54
369
+ just go with manual mode,1006.8,3.959
370
+ so and it's starting to initialize the,1008.42,5.039
371
+ agents here if you want to explain go,1010.759,5.88
372
+ ahead data well I was going to say,1013.459,5.461
373
+ um the the restore from previous state,1016.639,4.681
374
+ is to my knowledge not something as,1018.92,5.639
375
+ present in any other uh any other,1021.32,7.019
376
+ autonomous AI system out there yet so,1024.559,6.721
377
+ really cool stuff yeah so tell us a,1028.339,4.321
378
+ little bit about that feature because it,1031.28,4.2
379
+ sounds sounds valuable like you can uh,1032.66,3.96
380
+ you're in the middle of cooking dinner,1035.48,2.579
381
+ and someone knocks on the door and you,1036.62,2.76
382
+ come back and remember where you were,1038.059,3.62
383
+ right,1039.38,2.299
384
+ right well you could always just leave,1042.62,5.64
385
+ it sitting there because the system has,1044.72,6.48
386
+ this as you can see it it has a auto,1048.26,5.7
387
+ mode or a manual mode since we set,1051.2,4.979
388
+ manual mode every Loop is going to stop,1053.96,5.64
389
+ and ask us for feedback,1056.179,5.341
390
+ um all right,1059.6,4.86
391
+ um but if you have to turn your computer,1061.52,6.48
392
+ off because the FBI show up then,1064.46,4.64
393
+ um,1068.0,3.72
394
+ then uh you you know when you power it,1069.1,3.76
395
+ back up,1071.72,4.8
396
+ um the uh the the eight all of the task,1072.86,6.84
397
+ statuses or and results are stored,1076.52,6.6
398
+ persistently in chroma DB so you never,1079.7,6.54
399
+ lose any data unless you tell it you,1083.12,5.1
400
+ want you don't want to restore from a,1086.24,4.58
401
+ previous state,1088.22,2.6
402
+ you want to go ahead and go ahead and so,1091.1,3.6
403
+ in this case I basically wipe this,1093.02,3.96
404
+ memory it doesn't know anything uh I'm,1094.7,4.5
405
+ just gonna say yes just to keep it,1096.98,3.36
406
+ simple for now,1099.2,4.08
407
+ and it started to run the salience agent,1100.34,6.48
408
+ and a salience agent is going to call,1103.28,6.36
409
+ the execution agent to start uh running,1106.82,5.76
410
+ the task list for now the task lists are,1109.64,7.14
411
+ defined uh from our Persona Json so what,1112.58,5.94
412
+ we wanted to do was separate the code,1116.78,3.96
413
+ from the prompts so whoever wants to,1118.52,4.68
414
+ develop agents can simply look at two,1120.74,3.9
415
+ things uh,1123.2,3.479
416
+ the code of the agent what it's supposed,1124.64,4.68
417
+ to do logically and they can uh alter,1126.679,5.401
418
+ the prompts on the Json file so I'll,1129.32,4.38
419
+ show I'll show you the Json file in a,1132.08,3.9
420
+ second right now the first task is well,1133.7,4.68
421
+ to develop a test list to achieve a goal,1135.98,4.14
422
+ which in this case I don't believe I'm,1138.38,4.08
423
+ printing it here,1140.12,4.32
424
+ um yes it's supposed to create a program,1142.46,4.68
425
+ for an AI to search the internet,1144.44,5.7
426
+ so it did the first task let's just go,1147.14,4.919
427
+ ahead and let it run again,1150.14,4.14
428
+ it's going for the second task right now,1152.059,4.74
429
+ it's only showing you the the info like,1154.28,3.96
430
+ what you really want to see it's doing,1156.799,3.481
431
+ you're not seeing all the processing,1158.24,4.38
432
+ behind there's also a debug mode you can,1160.28,3.06
433
+ do,1162.62,2.4
434
+ um that starts showing the prompts,1163.34,4.02
435
+ what's going in what's in the database I,1165.02,4.38
436
+ can run another loop later uh with that,1167.36,4.8
437
+ turned on uh to show you how what it's,1169.4,4.26
438
+ doing internally,1172.16,4.44
439
+ and it'll it'll just keep going uh,1173.66,5.519
440
+ apparently it's reflected on the task so,1176.6,4.26
441
+ yeah let's see us leave it in auto mode,1179.179,4.38
442
+ I can change it to auto mode,1180.86,5.04
443
+ and it's now in auto mode it's you can,1183.559,4.201
444
+ see it says you can press escape to,1185.9,3.54
445
+ return to Automotive so at any point in,1187.76,3.24
446
+ the code if I press Escape it's just,1189.44,3.119
447
+ going to say switching back to auto mode,1191.0,4.02
448
+ and it'll stop and ask me uh for,1192.559,5.761
449
+ feedback again excellent at at this,1195.02,6.42
450
+ point I don't know if it's gonna say if,1198.32,5.16
451
+ it completed the task or not because the,1201.44,5.4
452
+ last task is to add out the,1203.48,6.72
453
+ the task list it made but it very much,1206.84,7.14
454
+ depends on the of the status agent if it,1210.2,6.839
455
+ decides it did it or not in this case it,1213.98,5.579
456
+ says it completed it and it also the,1217.039,4.861
457
+ good thing is it it provides a reasoning,1219.559,4.74
458
+ for why it decided it's completed or not,1221.9,5.22
459
+ so you can also uh get more information,1224.299,4.981
460
+ as to why that,1227.12,2.88
461
+ um,1229.28,3.72
462
+ it took that decision and help you do,1230.0,4.44
463
+ better prompt engineering so you can,1233.0,4.559
464
+ change the prompt easier so and if Let's,1234.44,6.3
465
+ uh let's pause for a second because,1237.559,5.521
466
+ um I I think that there's there's a,1240.74,3.86
467
+ tremendous amount of significance here,1243.08,5.099
468
+ so like walk us through the steps like,1244.6,8.079
469
+ it from from scratch it it had a what,1248.179,6.541
470
+ what appeared to be a metacognitive step,1252.679,4.021
471
+ where it said okay what am I doing,1254.72,4.1
472
+ and then it designed its own task list,1256.7,5.24
473
+ followed through the task list and then,1258.82,5.68
474
+ also evaluated its own performance to,1261.94,4.96
475
+ know when it had finished,1264.5,5.94
476
+ correct okay yes so here it's basically,1266.9,5.7
477
+ where it starts let's see,1270.44,4.979
478
+ yep at the beginning so the first thing,1272.6,4.98
479
+ it does is start to develop a task list,1275.419,4.38
480
+ and it's searching for results in its,1277.58,4.86
481
+ memory since it's wiped it says there is,1279.799,3.62
482
+ no results,1282.44,4.02
483
+ uh it sends that results to summary,1283.419,7.301
484
+ since no results uh exist yet it just,1286.46,6.3
485
+ says no previous actions have been taken,1290.72,5.28
486
+ because this is this is fed to I don't,1292.76,4.5
487
+ remember if it's fed to the execution,1296.0,5.46
488
+ ages or if it's fed to the status agent,1297.26,6.38
489
+ one of those two,1301.46,6.24
490
+ diplomatically oh both of them okay,1303.64,6.159
491
+ um so that the agents at least know at,1307.7,5.82
492
+ what step of uh the process uh they are,1309.799,5.401
493
+ or what any other actions they've taken,1313.52,3.84
494
+ before it's basically like a very,1315.2,4.8
495
+ primitive sort of memory as to well okay,1317.36,5.699
496
+ what have I done before right right,1320.0,6.24
497
+ and basically we send uh all of that,1323.059,5.161
498
+ information to the agent it runs and,1326.24,5.76
499
+ here's the result we get from the uh llm,1328.22,7.02
500
+ which is well it did create a task list,1332.0,5.46
501
+ so at that point we sent those results,1335.24,5.1
502
+ to the status agent and it's going to,1337.46,5.459
503
+ check if that task has been completed in,1340.34,4.68
504
+ this case it says yes the task has been,1342.919,4.021
505
+ completed and it provides the reasoning,1345.02,4.62
506
+ right here or why it thinks it's done so,1346.94,5.58
507
+ and at that point we go back into the,1349.64,4.68
508
+ loop so it's going to ask me again do,1352.52,5.159
509
+ you want to uh continue or not go ahead,1354.32,6.96
510
+ data yeah so I I want to come back to to,1357.679,7.5
511
+ the uh status agent so not only are we,1361.28,7.2
512
+ returning the completed or the status of,1365.179,6.061
513
+ whether or not it's completed we're also,1368.48,4.98
514
+ providing feedback so if you get a,1371.24,5.04
515
+ status that's not completed and this,1373.46,4.92
516
+ isn't in yet but this should be,1376.28,5.1
517
+ relatively simple to incorporate one of,1378.38,5.22
518
+ the things that we can do is provide,1381.38,5.1
519
+ additional feedback to the execution,1383.6,6.3
520
+ agent the next time it runs so,1386.48,6.66
521
+ um and in this situation,1389.9,6.659
522
+ um what we would want to do to to help,1393.14,7.68
523
+ automate this is pass it the um the,1396.559,6.841
524
+ feedback from the status agent so the,1400.82,4.739
525
+ status agent is going to act as kind of,1403.4,4.8
526
+ like a project manager,1405.559,5.341
527
+ um where it has all of its little Dev,1408.2,4.979
528
+ Minions that go out and do their their,1410.9,4.2
529
+ things and then they come back with,1413.179,4.38
530
+ their results and they print or present,1415.1,7.68
531
+ a a a summarized result of some kind now,1417.559,7.321
532
+ um that execution agent needs to be,1422.78,5.1
533
+ expanded upon so that we can get web,1424.88,5.34
534
+ searching for research and code,1427.88,6.779
535
+ execution to or to do code testing and,1430.22,8.64
536
+ stuff we may even have a code QA agent,1434.659,6.121
537
+ separately,1438.86,3.9
538
+ um but but,1440.78,4.44
539
+ um we we can take that feedback from the,1442.76,5.64
540
+ project manager status agent and push it,1445.22,6.6
541
+ back in then if if the agent fails so,1448.4,5.519
542
+ that it can do better the next time and,1451.82,5.64
543
+ it's not always running into the same,1453.919,7.201
544
+ results yeah um so let's let's unpack,1457.46,5.16
545
+ that real quick,1461.12,3.84
546
+ um yeah because I think we should switch,1462.62,6.179
547
+ over to the um to the personas default,1464.96,6.9
548
+ just on I've got this hey hey Data,1468.799,5.221
549
+ before we before we proceed because uh,1471.86,4.08
550
+ uh what you're what you're talking about,1474.02,5.76
551
+ is is like cognitive neuroscience and a,1475.94,5.7
552
+ lot of people are going to be lost so,1479.78,4.44
553
+ the status agent that's the supervisor,1481.64,3.539
554
+ right,1484.22,3.3
555
+ that kind of sits above the other things,1485.179,4.681
556
+ and it dispatches let me make sure I got,1487.52,4.26
557
+ it right it dispatches the execution,1489.86,5.28
558
+ agent says hey this is your set of tasks,1491.78,5.82
559
+ to go do and then that uses the salience,1495.14,5.76
560
+ loop in order to Loop through uh and,1497.6,5.76
561
+ ensure that that task gets completed is,1500.9,4.08
562
+ that the is that the correct well it's,1503.36,4.199
563
+ it's the salience it's the salience loop,1504.98,5.939
564
+ that calls the execution agent and,1507.559,7.081
565
+ Status agent separately okay so so the,1510.919,6.12
566
+ salience is what binds it together right,1514.64,4.8
567
+ exactly the same okay this one together,1517.039,5.581
568
+ correct okay and so by by iterating on,1519.44,5.76
569
+ that you are you're checking multiple,1522.62,3.96
570
+ times,1525.2,4.2
571
+ um for uh whether you're whether you're,1526.58,4.38
572
+ being successful the feedback that,1529.4,3.6
573
+ you're getting and it can because it's,1530.96,4.56
574
+ iterative it can adapt its strategy as,1533.0,3.96
575
+ it goes,1535.52,5.519
576
+ right so and it's kind of talking to,1536.96,6.36
577
+ itself in this sense so it's really more,1541.039,6.0
578
+ it's it's less like corporate developer,1543.32,6.32
579
+ type of environment and more just like,1547.039,6.0
580
+ internal monologue like if you were you,1549.64,5.8
581
+ know building a,1553.039,4.441
582
+ um if you were building a raised garden,1555.44,4.859
583
+ bed for example now you're like okay,1557.48,5.16
584
+ first thing I need to do is take,1560.299,4.201
585
+ measurements and then I want to cut wood,1562.64,3.84
586
+ and then I want to nail wood together,1564.5,4.2
587
+ finally we put it in place and then we,1566.48,4.74
588
+ fill it with you you you kind of like,1568.7,4.979
589
+ outline that and then you know as you're,1571.22,4.8
590
+ cutting wood like okay is this actually,1573.679,4.081
591
+ gonna work are these gonna fit together,1576.02,5.82
592
+ is this nail gonna stick through so it's,1577.76,6.18
593
+ we're trying to replicate that that,1581.84,5.52
594
+ internal monologue yeah so it shouldn't,1583.94,6.42
595
+ it shouldn't theoretically take any jobs,1587.36,5.699
596
+ from any developers anytime soon at,1590.36,4.679
597
+ least not any more than that GPT is,1593.059,3.961
598
+ already sure,1595.039,4.5
599
+ the point is is that you you have a self,1597.02,5.58
600
+ self reflection and and kind of a set of,1599.539,5.701
601
+ medical metacognitive functions that are,1602.6,4.38
602
+ evaluating what it's doing and it's,1605.24,3.12
603
+ thinking through what it's doing every,1606.98,3.42
604
+ step of the way iteratively all right,1608.36,3.66
605
+ cool all right so take it away I think,1610.4,3.18
606
+ you said you wanted to move over to,1612.02,3.6
607
+ personas or something else,1613.58,5.4
608
+ yeah so um all well you were asking,1615.62,5.7
609
+ about how these all,1618.98,6.72
610
+ um interconnect so I've got the Persona,1621.32,7.56
611
+ just on file pulled up here,1625.7,7.92
612
+ um the the the primary goal is for,1628.88,7.02
613
+ anybody who's just picking the software,1633.62,3.9
614
+ up that doesn't want to learn how to,1635.9,3.3
615
+ program,1637.52,3.779
616
+ um the the most that they're ever going,1639.2,4.26
617
+ to have to touch if they just use the,1641.299,6.661
618
+ pre-existing agents is this file and the,1643.46,6.0
619
+ main Loop,1647.96,4.44
620
+ um so this file is where we set down our,1649.46,5.94
621
+ prompt so you know the system prompt is,1652.4,6.54
622
+ just like the system prompt in,1655.4,6.18
623
+ um in open AI,1658.94,5.7
624
+ um and then these other prompts go in as,1661.58,5.459
625
+ user,1664.64,5.7
626
+ um so we're taking it kind of like the,1667.039,6.961
627
+ way that you send chat history into chat,1670.34,8.939
628
+ GP or gpt4 when you're using a a home,1674.0,6.9
629
+ bot,1679.279,5.121
630
+ um in in the same way we're we're using,1680.9,7.32
631
+ these these variables here to inject,1684.4,8.86
632
+ data from other agents into this bot,1688.22,8.4
633
+ um in a in a human readable format and,1693.26,6.06
634
+ then every bot we can we can set whether,1696.62,7.74
635
+ it's going to use uh GPT 3.5 or 3.4 uh,1699.32,6.78
636
+ the plan is to also be able to leverage,1704.36,5.34
637
+ local models if you're running Uber,1706.1,6.84
638
+ um or you know you we can we eventually,1709.7,6.599
639
+ plan to incorporate hugging face,1712.94,5.099
640
+ um and,1716.299,4.26
641
+ um you know maybe maybe at some point,1718.039,4.441
642
+ Lane chain we'll see,1720.559,5.521
643
+ um but but the each each agent gets its,1722.48,8.579
644
+ own parameters for sending to the for,1726.08,7.56
645
+ sending to the language model,1731.059,5.701
646
+ um and you can't minimize here but but,1733.64,5.34
647
+ and we can you know,1736.76,6.539
648
+ um each each agent has its prompt,1738.98,7.319
649
+ exposed without sure without any code,1743.299,8.581
650
+ and of course the main Loop is so simple,1746.299,8.281
651
+ um I'm going where is Salient so here's,1751.88,4.5
652
+ salient,1754.58,5.459
653
+ um so if you ignore the like the the,1756.38,6.84
654
+ beginning section here you can see that,1760.039,6.24
655
+ our entire Loop is,1763.22,7.38
656
+ five lines of code commentation comments,1766.279,8.64
657
+ and yeah the it's it's super simple for,1770.6,7.14
658
+ anybody to kind of go in,1774.919,5.88
659
+ um and build this uh you know this logic,1777.74,4.5
660
+ Loop,1780.799,2.521
661
+ um,1782.24,6.0
662
+ one issue right now is is that the,1783.32,9.239
663
+ um where are you uh so the Salient agent,1788.24,7.799
664
+ run kind of has agents embedded in it so,1792.559,6.541
665
+ you can't modify it but you can also,1796.039,4.801
666
+ just use those,1799.1,5.84
667
+ um agents outright so our main pie,1800.84,7.62
668
+ function this is actually this is,1804.94,6.719
669
+ actually the uh,1808.46,7.14
670
+ baby AGI that's,1811.659,7.721
671
+ um been rebuilt into our system,1815.6,6.6
672
+ um so you can you know you have a really,1819.38,6.299
673
+ simple starting point right um and then,1822.2,6.12
674
+ when you go into,1825.679,5.581
675
+ um when you go into the agents like,1828.32,6.12
676
+ that's getting a little bit more complex,1831.26,7.26
677
+ um but you should be able to also build,1834.44,7.78
678
+ agents without having to,1838.52,4.32
679
+ [Music],1842.22,1.28
680
+ um,1842.84,3.839
681
+ without having to to dig into the rest,1843.5,5.52
682
+ of the code base,1846.679,7.441
683
+ um so all of the the loop of the agent,1849.02,9.659
684
+ could all be self-contained and most of,1854.12,7.32
685
+ these functions are already templated,1858.679,6.061
686
+ out for you so it's almost Plug and Play,1861.44,5.4
687
+ we're not there yet but we're getting,1864.74,4.08
688
+ there,1866.84,4.68
689
+ so let's uh let's talk about this,1868.82,4.079
690
+ architecture real quick because you've,1871.52,4.56
691
+ got you've got several layers of nested,1872.899,6.0
692
+ Loops you've got a modular and,1876.08,5.28
693
+ configurable architecture and like you,1878.899,4.14
694
+ said the goal is to get to Plug and Play,1881.36,5.16
695
+ So and you're almost there so talk us,1883.039,6.12
696
+ through a little bit about like,1886.52,4.379
697
+ how you came to some of these,1889.159,3.541
698
+ architectural decisions because for,1890.899,3.961
699
+ someone who's only been you know coding,1892.7,3.54
700
+ for three or four weeks you've kind of,1894.86,3.96
701
+ unpacked a lot of really important,1896.24,4.74
702
+ Concepts and development,1898.82,3.719
703
+ um and I know that you've had uh Ansel,1900.98,3.96
704
+ to help you out so maybe you can't take,1902.539,4.38
705
+ full credit and then chat GPT as well,1904.94,5.219
706
+ but so you know you guys you guys have,1906.919,6.0
707
+ uh I I see you like in chat like all day,1910.159,4.921
708
+ every day some days,1912.919,4.74
709
+ um so so talk us through like,1915.08,6.14
710
+ like how you came to some of these ideas,1917.659,7.26
711
+ and and what like what is what is the,1921.22,7.72
712
+ overall status of like how how close are,1924.919,6.301
713
+ you to having something that is it looks,1928.94,4.32
714
+ like a semi-autonomous or fully,1931.22,4.26
715
+ autonomous what are the missing steps,1933.26,4.26
716
+ and you know who do you want to get in,1935.48,3.84
717
+ touch with you and and so on and so,1937.52,4.139
718
+ forth where do you need help,1939.32,4.62
719
+ well you know Bill Gates wants to give,1941.659,4.561
720
+ me a call I will totally take his call,1943.94,4.92
721
+ now I only charge two thousand dollars,1946.22,6.179
722
+ uh an hour which you know is is pretty,1948.86,5.76
723
+ sure,1952.399,6.121
724
+ um the uh yeah the loop is there the the,1954.62,6.0
725
+ loop is already there,1958.52,5.519
726
+ um at least when you compare it to,1960.62,5.4
727
+ um Auto GPT which,1964.039,4.201
728
+ kind of has a functioning Loop too I,1966.02,4.74
729
+ haven't looked at their stuff since I I,1968.24,5.159
730
+ started this project and even even,1970.76,4.86
731
+ before I went like you know we had we,1973.399,5.941
732
+ had chaos GPT was looping at least so so,1975.62,5.76
733
+ it Loops,1979.34,2.88
734
+ um,1981.38,3.84
735
+ so now what we're doing is expanding,1982.22,4.52
736
+ functionality,1985.22,3.12
737
+ and,1986.74,5.819
738
+ um and uh for expanding functionality,1988.34,8.339
739
+ and we're expanding uh compatibility,1992.559,7.541
740
+ with these other systems we've got AP uh,1996.679,6.181
741
+ open AI working we've got Uber working,2000.1,4.559
742
+ which should work with any other,2002.86,3.78
743
+ language model,2004.659,4.74
744
+ um chroma is is done manually so it,2006.64,5.46
745
+ doesn't rely on Lang chain but if we,2009.399,5.821
746
+ incorporated Lane chain that would that,2012.1,5.819
747
+ would open up functionality in a much,2015.22,6.6
748
+ broader capacity right yeah I was just,2017.919,6.0
749
+ about to ask for extensibility for,2021.82,4.38
750
+ instance like you know can this right,2023.919,4.681
751
+ what code can it talk to apis yeah go,2026.2,4.199
752
+ for it Ansel now now that you mentioned,2028.6,3.66
753
+ extensibility that was the main reason,2030.399,4.5
754
+ for developing this because like I,2032.26,4.919
755
+ mentioned before I try to mess with auto,2034.899,4.201
756
+ GPT to get it to like do something I,2037.179,4.5
757
+ wanted just for testing purposes and I I,2039.1,4.74
758
+ wish it wasted my time trying to modify,2041.679,5.401
759
+ it because it's it's it's I don't want,2043.84,5.759
760
+ to say it like like the develop didn't,2047.08,4.259
761
+ pay attention to it but it's just the,2049.599,3.421
762
+ structure of it is,2051.339,5.641
763
+ is not user friendly at all so we when,2053.02,6.659
764
+ we went into this the the main goal was,2056.98,6.359
765
+ to make it extensible organized uh and,2059.679,6.42
766
+ very easy to know what's going on where,2063.339,5.641
767
+ um in their defense I don't think that,2066.099,5.701
768
+ they were writing Auto GPT for other,2068.98,5.34
769
+ people to come in and and mess with it,2071.8,5.64
770
+ and make it do what they wanted,2074.32,6.299
771
+ um you know we from the ground up we've,2077.44,4.86
772
+ been building this so that other people,2080.619,4.681
773
+ can come in behind us right and really,2082.3,6.72
774
+ what we need uh more than anything is,2085.3,6.78
775
+ for people to come in and and build new,2089.02,6.18
776
+ agents for example this execution agent,2092.08,4.799
777
+ right here,2095.2,5.419
778
+ um the the execution agent needs to be,2096.879,7.861
779
+ expanded in a much more broad fashion,2100.619,8.021
780
+ um the and then we need to work on the,2104.74,6.48
781
+ task generation right so,2108.64,5.219
782
+ um baby relied heavily on task,2111.22,6.18
783
+ generation to determine if it had,2113.859,5.881
784
+ completed a step,2117.4,5.64
785
+ um and and that ended up with it redoing,2119.74,6.66
786
+ a lot of work which we didn't like but,2123.04,5.22
787
+ um I think that that could be solved,2126.4,3.179
788
+ with,2128.26,1.92
789
+ um,2129.579,5.701
790
+ with with a um with a set in stone,2130.18,9.3
791
+ primary goals that and allowing it to,2135.28,7.38
792
+ generate sub goals so if somebody wants,2139.48,6.48
793
+ to take a crack at task generation we,2142.66,7.08
794
+ actually have a a kind of uh prototype,2145.96,6.6
795
+ outline although this is a you know we,2149.74,4.98
796
+ haven't actually done any work on this,2152.56,4.98
797
+ stage yet but those are those are the,2154.72,5.52
798
+ two the two threat things that we have,2157.54,5.88
799
+ going forward to improve its,2160.24,6.359
800
+ um capacity is building out execution,2163.42,4.86
801
+ agent,2166.599,5.161
802
+ um rebuilding this task generation and,2168.28,4.559
803
+ then,2171.76,3.24
804
+ um you know a few odds and ends here and,2172.839,4.981
805
+ there just to to make it run a little,2175.0,4.98
806
+ bit more smoothly,2177.82,6.18
807
+ um I find that the biggest gains are are,2179.98,8.16
808
+ usually from the uh from prompt,2184.0,7.56
809
+ engineering though and sometimes even,2188.14,8.88
810
+ small changes to the the text and the uh,2191.56,7.92
811
+ in the Persona wording is everything,2197.02,6.18
812
+ yeah yeah wording is everything,2199.48,6.96
813
+ um like let's see if I can find yeah so,2203.2,6.72
814
+ here here's the status agent and it just,2206.44,6.06
815
+ does not,2209.92,6.6
816
+ yeah it's too long but yeah we've been a,2212.5,5.76
817
+ good hour working on the prompt for,2216.52,3.96
818
+ status agent and,2218.26,5.099
819
+ um ultimately we we we still ended up,2220.48,6.0
820
+ having to switch over to gpt4 for this,2223.359,5.941
821
+ so yeah the running version that we have,2226.48,4.98
822
+ right now is using two separate language,2229.3,5.64
823
+ models oh cool it can handle multiple,2231.46,5.1
824
+ language models,2234.94,3.48
825
+ um so you've got you've got a lot of the,2236.56,4.68
826
+ extensibility and and configurability,2238.42,5.159
827
+ figured out so you mentioned earlier,2241.24,3.839
828
+ that you're getting close to making it,2243.579,4.081
829
+ plug and play and and like you said uh,2245.079,4.861
830
+ all the all the different agents are,2247.66,5.28
831
+ configurable just via Json,2249.94,5.82
832
+ um and and you you're getting close to,2252.94,6.3
833
+ adding some more extensible uh things so,2255.76,6.0
834
+ how do people collaborate with you do,2259.24,5.58
835
+ you just all go through GitHub,2261.76,4.92
836
+ um how to how should if anyone wants to,2264.82,3.96
837
+ jump in what's the best way for them to,2266.68,4.38
838
+ to get in touch with you guys,2268.78,6.18
839
+ so we have a we have a project set up in,2271.06,6.36
840
+ the community project section of the,2274.96,4.92
841
+ cognitive AI Discord,2277.42,5.1
842
+ um specifically for agents,2279.88,6.0
843
+ um but if there's other stuff that you,2282.52,5.579
844
+ think that that you can contribute to,2285.88,4.8
845
+ for example we'd love to have a,2288.099,5.821
846
+ graphical interface right on the UI it's,2290.68,6.3
847
+ similar to Lang flow,2293.92,5.939
848
+ um to to make this even lower code for,2296.98,4.44
849
+ people,2299.859,2.341
850
+ um,2301.42,3.659
851
+ and then you know of course the you know,2302.2,8.46
852
+ the uh if there's a um a new model that,2305.079,9.121
853
+ comes out or a new host somewhere and,2310.66,6.24
854
+ they have their own API that isn't open,2314.2,5.52
855
+ AI compatible,2316.9,6.959
856
+ um writing um writing API interfaces for,2319.72,7.98
857
+ that so for example the the current V2,2323.859,6.541
858
+ version of,2327.7,3.96
859
+ um,2330.4,5.34
860
+ of the Uber Booga API was not actually,2331.66,8.64
861
+ written by us this was written by,2335.74,6.06
862
+ um,2340.3,3.9
863
+ that's so strange that he's not listed,2341.8,4.74
864
+ as a contributor here,2344.2,2.94
865
+ um,2346.54,3.0
866
+ I think his name was Max though it was,2347.14,6.719
867
+ Max something but he fixed it,2349.54,10.02
868
+ yeah oh uh mitchko in mitchko so he did,2353.859,8.581
869
+ get credit for this one but he wrote,2359.56,5.94
870
+ um he rewrote the the interface for the,2362.44,6.6
871
+ uba Booga API and people are are out,2365.5,6.0
872
+ there using this and it's working you,2369.04,5.88
873
+ can see the the old codes listed here,2371.5,4.92
874
+ um right because another thing you can,2374.92,5.34
875
+ do is also host the your local model on,2376.42,5.939
876
+ a Cloud Server and use the API to,2380.26,3.839
877
+ connect to it and you can just run the,2382.359,3.541
878
+ the interface on your phone or web,2384.099,4.201
879
+ browser or whatever interesting you can,2385.9,6.84
880
+ see the um the endpoint code is listed,2388.3,7.559
881
+ here as a variable and what we'll do,2392.74,6.9
882
+ later is come in and set this as,2395.859,7.861
883
+ configurable within the ini file,2399.64,6.3
884
+ um right oh yeah that's that's something,2403.72,5.94
885
+ else I I should just touch on briefly,2405.94,6.06
886
+ um things like determining,2409.66,4.679
887
+ um which language model you're using,2412.0,5.52
888
+ which database you want to use you're in,2414.339,5.161
889
+ embeddings,2417.52,2.64
890
+ um,2419.5,3.3
891
+ function that you're using all of that,2420.16,4.14
892
+ is,2422.8,4.559
893
+ um all of that is configurable here in,2424.3,6.96
894
+ the config.ini file as well so yeah we,2427.359,8.161
895
+ for we really try to get as much of the,2431.26,7.319
896
+ configuration as we could out of the,2435.52,5.52
897
+ code and into,2438.579,3.061
898
+ um,2441.04,3.5
899
+ into files that that people are gonna,2441.64,7.28
900
+ find useful wonderful,2444.54,4.38
901
+ so what's what's next I know you guys,2449.26,3.96
902
+ have outlined a lot of open problems and,2451.3,3.36
903
+ some things that you need help with and,2453.22,3.66
904
+ I think there's quite a few people that,2454.66,4.8
905
+ are expressing some interest,2456.88,3.959
906
+ um so where where do you guys want to,2459.46,3.72
907
+ take this project like what you know,2460.839,5.341
908
+ given a month or six months or if you,2463.18,5.1
909
+ have 20 people jump in What do you want,2466.18,3.96
910
+ it to be able to do,2468.28,5.52
911
+ well this weekend we are taking it to a,2470.14,7.08
912
+ hackathon and we don't know what the,2473.8,6.299
913
+ objective is yet but we're going our,2477.22,6.24
914
+ objective is to win the hackathon with,2480.099,7.141
915
+ this out of left field uh AGI uh,2483.46,5.76
916
+ framework that nobody has ever seen,2487.24,4.02
917
+ before,2489.22,5.76
918
+ but beyond that,2491.26,5.099
919
+ um,2494.98,5.099
920
+ beyond that I'd like to see this,2496.359,7.861
921
+ see this just used more broadly,2500.079,5.821
922
+ um you know it,2504.22,3.3
923
+ this is all,2505.9,6.9
924
+ um this is all in a what what uh,2507.52,9.12
925
+ be about there it is I missed but this,2512.8,6.5
926
+ is all in the gnu general public license,2516.64,6.66
927
+ just like Linux so anybody can take this,2519.3,8.62
928
+ right and use it for commercial purposes,2523.3,6.6
929
+ um,2527.92,5.1
930
+ with you know with restrictions,2529.9,5.76
931
+ um and you know me personally I would,2533.02,5.52
932
+ love to once we get this model pounded,2535.66,5.4
933
+ out and and set in stone I I would love,2538.54,7.44
934
+ to just build and bespoke AI cognitive,2541.06,8.46
935
+ systems for for companies on either a,2545.98,4.92
936
+ direct,2549.52,1.98
937
+ um,2550.9,3.42
938
+ you know direct to,2551.5,8.099
939
+ um Market kind of solution or even in a,2554.32,8.039
940
+ research capacity you know my you know,2559.599,6.601
941
+ I've already built some agents or at,2562.359,6.48
942
+ least one agent and then some made some,2566.2,5.1
943
+ modifications as well,2568.839,5.52
944
+ um to work on the heuristic imperatives,2571.3,5.88
945
+ project that you've got going Dave yeah,2574.359,7.801
946
+ um and I I really want to be this the I,2577.18,6.48
947
+ want this to be an engine for your,2582.16,4.5
948
+ project so that you can iterate quickly,2583.66,6.659
949
+ and you don't get hung up in in the,2586.66,8.58
950
+ details of you know working manually or,2590.319,7.081
951
+ writing your having to write your own,2595.24,3.78
952
+ code,2597.4,4.38
953
+ um for every single little thing that,2599.02,5.579
954
+ you do we can just have an agent and,2601.78,5.579
955
+ plug those agents in spit data at it and,2604.599,6.5
956
+ see what comes out there you go,2607.359,3.74
957
+ is basically like empowerment right like,2613.079,7.301
958
+ human language has given us the ability,2617.22,5.32
959
+ to do everything we've done up until,2620.38,3.959
960
+ this point and we've basically given,2622.54,5.4
961
+ that uh ability to machines now and with,2624.339,5.401
962
+ this kind of architecture we can give,2627.94,4.74
963
+ that to everybody as long as they have a,2629.74,4.92
964
+ model to run they could have some kind,2632.68,4.439
965
+ of agent working for them so it might,2634.66,5.04
966
+ sound science fiction or outlandish but,2637.119,5.22
967
+ it's basically like constructing your,2639.7,4.44
968
+ own Jarvis right,2642.339,4.381
969
+ that's the goal,2644.14,5.34
970
+ that's the goal yep yeah I do not want,2646.72,6.359
971
+ to be the person who develops the uh the,2649.48,6.78
972
+ the the next Raven though let me just,2653.079,5.701
973
+ say that like you know I'll be a part of,2656.26,6.5
974
+ it but the uh a autonomous assistant,2658.78,7.38
975
+ is going to be a lot of work oh,2662.76,5.26
976
+ definitely that's why I said the,2666.16,4.919
977
+ ultimate goal yeah just looking at what,2668.02,4.86
978
+ we've done already,2671.079,6.181
979
+ um a you know like a better uh Siri for,2672.88,9.3
980
+ example is a a mini person project not,2677.26,8.16
981
+ just two guys in a garage,2682.18,5.34
982
+ yeah,2685.42,6.24
983
+ yeah so this is like the very first you,2687.52,5.18
984
+ know,2691.66,4.14
985
+ 2022 there were very few of us even,2692.7,5.1
986
+ talking about cognitive architecture,2695.8,6.6
987
+ 2023 hits and suddenly like everyone's a,2697.8,6.4
988
+ cognitive architect but you guys are,2702.4,5.699
989
+ definitely like lunging ahead forward,2704.2,6.3
990
+ um which is just incredible to see,2708.099,4.141
991
+ um so thanks for sharing your work so,2710.5,3.0
992
+ far,2712.24,2.94
993
+ um and I know that you guys have have a,2713.5,3.359
994
+ lot of work that you're you're working,2715.18,4.62
995
+ on this this is uh it's getting close to,2716.859,6.0
996
+ being uh semi-autonomous it doesn't,2719.8,4.86
997
+ doesn't quite come up with its own,2722.859,4.441
998
+ objectives but it can autonomously work,2724.66,5.76
999
+ through a lot of uh increase it's coming,2727.3,4.98
1000
+ it's coming and it but it can it can,2730.42,4.08
1001
+ think through open-ended objectives that,2732.28,4.44
1002
+ you give it which is really incredible,2734.5,5.52
1003
+ so um any final thoughts from uh from,2736.72,5.16
1004
+ you guys or anyone else,2740.02,3.96
1005
+ um before we wrap up today's tonight's,2741.88,3.959
1006
+ recording,2743.98,4.98
1007
+ yeah well if you had told me uh in,2745.839,5.881
1008
+ December that I would be diving into a,2748.96,4.98
1009
+ project on GitHub about cognitive,2751.72,4.02
1010
+ architecture I would have spat my beer,2753.94,2.899
1011
+ at you,2755.74,5.16
1012
+ so everything is changing really fast,2756.839,6.28
1013
+ it's getting really silly it is,2760.9,4.38
1014
+ impossible to keep up and it's exciting,2763.119,3.781
1015
+ and it's just,2765.28,3.42
1016
+ it's just thrilling to be working on,2766.9,5.52
1017
+ this yeah absolutely yeah and possibly,2768.7,7.919
1018
+ keep up is definitely definitely the the,2772.42,7.38
1019
+ situation right now even even with the,2776.619,6.121
1020
+ past week or so where AI news has been,2779.8,5.519
1021
+ relatively slow there haven't been a,2782.74,5.82
1022
+ whole lot of interviews here lately,2785.319,6.961
1023
+ um I've still got dozens of tabs open of,2788.56,5.82
1024
+ AI stuff that I just haven't been able,2792.28,4.02
1025
+ to read yet,2794.38,3.979
1026
+ um,2796.3,2.059
1027
+ I I really think that,2798.52,10.099
1028
+ um a lot of people are are,2802.54,6.079
1029
+ getting a way more concerned about,2808.66,7.08
1030
+ artificial intelligence than they need,2812.44,5.46
1031
+ to be we still need to be concerned we,2815.74,4.68
1032
+ need to be working on on these things,2817.9,4.38
1033
+ but we're not,2820.42,5.22
1034
+ we're not quite in runaway AI yet I hate,2822.28,6.18
1035
+ to disagree with you Dave but,2825.64,7.56
1036
+ um you know it's it it if we told AI to,2828.46,7.68
1037
+ build better AI that would be like,2833.2,5.159
1038
+ telling you to do brain surgery on,2836.14,4.4
1039
+ yourself,2838.359,2.181
1040
+ so we don't need to bomb the data,2840.819,2.52
1041
+ centers,2842.44,3.12
1042
+ no not but yeah we should definitely,2843.339,4.5
1043
+ have bombs in the data centers just in,2845.56,5.64
1044
+ case just in case okay and local backups,2847.839,5.28
1045
+ for your your shows or anything you want,2851.2,3.84
1046
+ to watch after the apocalypse so there,2853.119,3.72
1047
+ you go just,2855.04,3.96
1048
+ etch it out on clay tablets all right,2856.839,4.141
1049
+ gang thanks everything thanks for,2859.0,2.94
1050
+ everything,2860.98,2.46
1051
+ um and definitely keep up the good work,2861.94,3.78
1052
+ and uh yeah I hope that you get some,2863.44,4.44
1053
+ more folks reaching out to you we will,2865.72,4.8
1054
+ of course have ongoing updates maybe not,2867.88,4.199
1055
+ weekly we'll see,2870.52,3.059
1056
+ um but you know we're doing more live,2872.079,3.301
1057
+ streams lately,2873.579,3.0
1058
+ um just to keep everyone up to date,2875.38,2.459
1059
+ because as you guys mentioned it's,2876.579,3.121
1060
+ happening so fast,2877.839,3.541
1061
+ um and it's good to show people what's,2879.7,3.6
1062
+ possible so I'm gonna go ahead and stop,2881.38,5.52
1063
+ the go ahead one one more thing I think,2883.3,5.94
1064
+ that getting everybody involved in,2886.9,5.88
1065
+ talking about this is really the the,2889.24,7.079
1066
+ best way forward yeah um because you,2892.78,6.66
1067
+ know up until now all of the discussion,2896.319,8.701
1068
+ about Ai and ethics and morality of AI,2899.44,10.74
1069
+ has been siled and gate kept by the you,2905.02,7.799
1070
+ know a few people at these major,2910.18,6.48
1071
+ corporations yeah and you know you and,2912.819,6.3
1072
+ the communities that you've helped get,2916.66,5.28
1073
+ get off the ground I think has really,2919.119,6.841
1074
+ opened it up and is going to be one of,2921.94,6.24
1075
+ the most important things for the future,2925.96,5.159
1076
+ of AI it's definitely already having an,2928.18,5.34
1077
+ impact well thanks so much and I'm glad,2931.119,3.901
1078
+ that it's definitely having hopefully a,2933.52,3.98
1079
+ positive impact in the long run yeah,2935.02,6.0
1080
+ we'll see yep yeah all right gang I'm,2937.5,5.14
1081
+ gonna knock off the recording have a,2941.02,3.12
1082
+ good night everybody and we'll talk,2942.64,5.0
1083
+ again soon cheers,2944.14,3.5
Doomerism Denialism and Optimism Introducing the GATO Framework AI Avengers Assemble_transcript.csv ADDED
@@ -0,0 +1,1417 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everybody David Shapiro here with a,1.38,5.479
3
+ video today's video is going to be about,4.38,7.08
4
+ doomerism uh denialism uh an alternative,6.859,8.141
5
+ perspective optimism as well as a very,11.46,5.22
6
+ comprehensive framework that I'm putting,15.0,4.619
7
+ together with a lot of folks so let's go,16.68,6.42
8
+ ahead and take a look at some ideas and,19.619,4.681
9
+ some data,23.1,6.419
10
+ so we are all talking about exponential,24.3,7.86
11
+ growth if you look at comments across,29.519,5.88
12
+ the internet and even mainstream news,32.16,7.079
13
+ today talking about the rise of AI one,35.399,6.301
14
+ thing that happens is that a lot of,39.239,5.401
15
+ people tend to think in terms of linear,41.7,6.3
16
+ progress you say oh well 10 years ago we,44.64,5.759
17
+ were here and now we're you know now,48.0,4.68
18
+ we're there and so 10 years from now,50.399,3.84
19
+ we'll basically continue with the same,52.68,3.66
20
+ amount of progress that's not actually,54.239,5.701
21
+ true when you shorten that time Horizon,56.34,5.76
22
+ to say oh well we've made a lot of,59.94,4.14
23
+ progress in the last few months maybe,62.1,4.32
24
+ that's the new rate of progress that's,64.08,4.74
25
+ still not actually true,66.42,4.8
26
+ with exponential growth which is what we,68.82,4.86
27
+ are seeing right now the actual uh,71.22,5.7
28
+ correct assumption to make is that uh is,73.68,5.7
29
+ that you know the X amount of time from,76.92,5.64
30
+ from now will actually have continued to,79.38,4.44
31
+ accelerate,82.56,4.62
32
+ now this is a nice lovely handmade graph,83.82,6.659
33
+ that is shown in perfect clear data but,87.18,5.34
34
+ let me show you some actual some real,90.479,5.1
35
+ data about parameter counts in neural,92.52,4.68
36
+ networks,95.579,4.22
37
+ so here you can see it growing,97.2,5.76
38
+ exponentially and then the exponential,99.799,5.32
39
+ curve accelerates and it starts growing,102.96,3.78
40
+ logarithmically,105.119,5.221
41
+ so we are at the knee of the curve,106.74,6.059
42
+ already so the knee of the curve is this,110.34,4.02
43
+ part right here,112.799,4.68
44
+ where the acceleration really starts to,114.36,5.039
45
+ take off but the thing is is when you're,117.479,3.541
46
+ in the middle of it it's kind of like,119.399,3.241
47
+ boiled frog syndrome which we'll talk,121.02,3.9
48
+ about a little bit more in just a minute,122.64,6.599
49
+ so with this data in mind let's jump,124.92,6.42
50
+ into the rest of the video,129.239,5.341
51
+ so I mentioned doomerism and denialism,131.34,5.64
52
+ and then finally optimism these are kind,134.58,5.34
53
+ of the three main categories that people,136.98,5.82
54
+ by and large fall into there's also,139.92,5.52
55
+ people that are apathetic uh which I,142.8,4.079
56
+ didn't include that just because it's a,145.44,4.2
57
+ waste of screen space but so doomerism,146.879,6.961
58
+ is uh the is the the belief that uh,149.64,8.04
59
+ decline collapse Calamity is inevitable,153.84,6.3
60
+ that we are going to end up in some sort,157.68,4.62
61
+ of Extinction scenario or dystopian,160.14,3.84
62
+ outcome and that there's not really,162.3,4.5
63
+ anything that we can do to change it so,163.98,4.2
64
+ this is why there's been lots of,166.8,3.6
65
+ comments around like Malik which the,168.18,4.08
66
+ idea of Malik will get into that a,170.4,3.96
67
+ little bit as well,172.26,5.4
68
+ um so then there's denialism so the,174.36,5.22
69
+ denialists basically say there's nothing,177.66,5.46
70
+ to see here uh AGI is not even possible,179.58,6.84
71
+ or it's still decades away hard takeoff,183.12,6.54
72
+ is not possible or it's decades away and,186.42,5.7
73
+ uh then finally optimism techno,189.66,5.159
74
+ optimists is people like myself who are,192.12,4.8
75
+ just like yeah like we can do this these,194.819,4.381
76
+ problems are all solvable and it will,196.92,6.42
77
+ ultimately end up in the better so what,199.2,6.78
78
+ I want to say is is that this is I'm not,203.34,4.679
79
+ talking about individuals don't take it,205.98,3.539
80
+ personally if you identify with these,208.019,3.061
81
+ what I'm talking about here is thought,209.519,4.201
82
+ leaders uh people like content creators,211.08,5.34
83
+ like myself leading scientists people on,213.72,6.48
84
+ Twitter uh basically famous people or,216.42,6.78
85
+ respected people in The Establishment in,220.2,7.02
86
+ the industry who take these mindsets uh,223.2,6.959
87
+ so again not not calling on any,227.22,6.0
88
+ particular commenter or fan or people on,230.159,5.881
89
+ Reddit or Twitter this is talking about,233.22,4.98
90
+ basically like people at my level or,236.04,3.419
91
+ above,238.2,2.459
92
+ um,239.459,4.14
93
+ and also this is like it obviously,240.659,4.621
94
+ doesn't fall into this symbol of,243.599,3.241
95
+ categories I'm just kind of talking,245.28,3.539
96
+ about the the kind of extreme ends most,246.84,3.78
97
+ people fall somewhere in the middle like,248.819,3.06
98
+ if you were to draw this out on a,250.62,2.88
99
+ triangle most people are somewhere in,251.879,3.06
100
+ the middle there's a few people at the,253.5,3.54
101
+ extreme points I'm an extreme optimist,254.939,3.14
102
+ so,257.04,3.84
103
+ in in the yellow corner is the extreme,258.079,4.481
104
+ optimists in the red and green Corners,260.88,4.259
105
+ are the dumerous and denialists,262.56,5.88
106
+ um okay so but as promised by the,265.139,4.681
107
+ opening title I want to take a,268.44,4.08
108
+ sympathetic look at these other uh other,269.82,4.92
109
+ uh uh dispositions,272.52,6.06
110
+ so Sympathy for the Doomer one it is,274.74,5.76
111
+ good to acknowledge the existential,278.58,4.98
112
+ risks of AI this has been true of all,280.5,5.22
113
+ new technologies whether it's Medical,283.56,4.5
114
+ Technology nuclear technology pretty,285.72,4.68
115
+ much every new technology today carries,288.06,4.38
116
+ with it some level of existential risk,290.4,4.859
117
+ right you know the whether it's the,292.44,5.1
118
+ ability to do Gene engineering or,295.259,5.16
119
+ engineer new uh strains of flu or,297.54,5.099
120
+ coronavirus or whatever there's always,300.419,4.5
121
+ risks,302.639,5.041
122
+ um the doomers understand the potential,304.919,5.821
123
+ risk of uncontrolled AGI right the sky,307.68,5.4
124
+ is the limit right as people are,310.74,4.08
125
+ learning more about what AI is capable,313.08,4.44
126
+ of the idea of an Extinction scenario,314.82,5.58
127
+ like Skynet is actually not entirely,317.52,4.92
128
+ impossible and when you look at the fact,320.4,4.2
129
+ that Congress right now is working on,322.44,4.5
130
+ passing legislation so that AI will,324.6,4.439
131
+ never have uh control over nuclear,326.94,4.02
132
+ weapons like they're taking it seriously,329.039,4.38
133
+ too right so like there's something here,330.96,5.76
134
+ uh there's it's not nothing,333.419,5.101
135
+ um so then there's also the recognition,336.72,4.8
136
+ for safeguards and regulations and then,338.52,4.56
137
+ finally when you just look at the,341.52,3.72
138
+ current trends,343.08,3.839
139
+ um like stagnant wages and wealth,345.24,3.42
140
+ inequality and other evidence of the,346.919,5.701
141
+ Malik problem like it doesn't take a you,348.66,6.599
142
+ know a a great leap of faith or logic to,352.62,4.139
143
+ say what if these Trends continue and,355.259,3.541
144
+ get worse which there's no evidence of,356.759,4.201
145
+ some of these Trends reversing,358.8,3.66
146
+ um then it's like okay well then we are,360.96,3.9
147
+ all going to end up in a cyberpunk Hell,362.46,4.98
148
+ and then finally these problems are all,364.86,4.32
149
+ very large and complex they are global,367.44,4.68
150
+ scale problems so what I want to say is,369.18,4.799
151
+ I want to acknowledge that these are the,372.12,3.96
152
+ primary as far as I can tell the primary,373.979,4.201
153
+ concerns of doomers,376.08,5.1
154
+ um and uh like there is some legitimacy,378.18,4.44
155
+ to this position I'm not saying oh,381.18,3.18
156
+ doomers are just flat out wrong you know,382.62,3.359
157
+ to ignore them like no these are real,384.36,3.6
158
+ things I need to acknowledge that but,385.979,4.201
159
+ what I'll get to is like why I'm still,387.96,5.239
160
+ optimistic despite all this,390.18,6.959
161
+ now to play Devil's Advocate there are,393.199,6.461
162
+ some flaws with tumorism which is people,397.139,5.06
163
+ that just stick in this corner,399.66,4.979
164
+ one is over emphasis on worst case,402.199,3.821
165
+ scenarios,404.639,3.301
166
+ yes we can think about worst case,406.02,4.14
167
+ scenarios but it does not help for us to,407.94,4.08
168
+ dwell on worst case scenarios and only,410.16,3.9
169
+ worst case scenarios we need to think,412.02,3.48
170
+ about the entire spectrum of,414.06,2.699
171
+ possibilities,415.5,3.18
172
+ another thing that is that is common,416.759,4.261
173
+ with some doomers is that they're very,418.68,4.38
174
+ dogmatic in their thinking they have,421.02,3.959
175
+ come to believe for their own reasons,423.06,3.24
176
+ with their own logic and their own,424.979,3.261
177
+ research and minds and whatever else,426.3,4.679
178
+ that catastrophe is a foregone,428.24,5.079
179
+ conclusion they think that it is totally,430.979,5.101
180
+ inevitable which results in dogmatic and,433.319,4.1
181
+ rigid thinking,436.08,4.92
182
+ this mentality discourages Innovation,437.419,5.441
183
+ and collaboration they're like ah,441.0,4.38
184
+ we're doomed who cares give up just,442.86,4.08
185
+ throw your hands up and just let it,445.38,3.24
186
+ happen,446.94,3.18
187
+ um which creates a distraction from,448.62,4.139
188
+ finding real solutions and the ultimate,450.12,4.68
189
+ result of this is from an emotional and,452.759,3.72
190
+ psychological perspective is that it,454.8,4.14
191
+ leads to a sense of nihilism or fatalism,456.479,4.381
192
+ so nihilism is the belief that nothing,458.94,4.979
193
+ matters anyways uh which this kind of,460.86,6.0
194
+ forms a vicious cycle where if you,463.919,4.741
195
+ already have a nihilistic attitude and,466.86,3.66
196
+ then you believe that between climate,468.66,4.74
197
+ change and geopolitics and economics and,470.52,4.92
198
+ AI that we're all doomed anyways you,473.4,3.419
199
+ might as well give up while you're ahead,475.44,4.379
200
+ and that is fatalism so the fatalism and,476.819,5.761
201
+ nihilism play off of each other really,479.819,4.32
202
+ powerfully,482.58,4.2
203
+ um and it just leads to giving up,484.139,4.381
204
+ and that is the hopelessness and,486.78,3.3
205
+ inaction,488.52,4.26
206
+ um so again I do want to sympathize with,490.08,4.5
207
+ the doomers and say yes these are really,492.78,5.52
208
+ difficult problems and uh the our,494.58,6.0
209
+ success and survival as a species is not,498.3,4.38
210
+ guaranteed it is not a foregone,500.58,4.44
211
+ conclusion even for us optimists that we,502.68,3.859
212
+ will come out in a better place,505.02,3.959
213
+ generally speaking over the last century,506.539,4.6
214
+ we have come out in a better place in,508.979,4.44
215
+ the long run it can get pretty awful in,511.139,3.601
216
+ the short term,513.419,2.941
217
+ um and then but it's also not evenly,514.74,3.359
218
+ distributed life gets better for some,516.36,3.359
219
+ people worse for others,518.099,4.261
220
+ so you know it is important to raise the,519.719,4.141
221
+ alarm but,522.36,3.479
222
+ you know we can't we can't just dwell,523.86,2.94
223
+ right,525.839,3.421
224
+ all right so Sympathy for the denier so,526.8,4.2
225
+ the deniers and again I'm not trying to,529.26,3.48
226
+ call out anyone by name I'm not trying,531.0,3.54
227
+ to start Twitter beefs and YouTube beefs,532.74,4.38
228
+ I'm just giving my perspective so,534.54,4.979
229
+ Sympathy for the denier these are the,537.12,3.899
230
+ people that have said yeah we've been,539.519,4.681
231
+ promised AGI for like 60 years right I,541.019,4.38
232
+ remember what was it there was a,544.2,2.759
233
+ Consortium that was launched in like,545.399,3.721
234
+ Stanford or something back in the 60s or,546.959,3.901
235
+ 70s and they're like oh yeah with a,549.12,3.12
236
+ summer of work we should be able to,550.86,4.14
237
+ figure out you know uh artificial,552.24,4.38
238
+ intelligence and then here we are like,555.0,5.459
239
+ 40 or 60 years later and no,556.62,5.58
240
+ um so yeah you know it's just like,560.459,3.661
241
+ nuclear fusion right it's always 10,562.2,3.78
242
+ years away or 20 years away,564.12,4.62
243
+ so progress up to this point has been,565.98,7.14
244
+ slow that is true uh there's a um on on,568.74,7.98
245
+ the deniers side there is an emphasis,573.12,5.82
246
+ more on like yeah it's you know AI is,576.72,3.96
247
+ helpful and it could have some potential,578.94,4.74
248
+ benefits but we shouldn't rely on this,580.68,5.46
249
+ it's not a Magic Bullet right and that's,583.68,4.92
250
+ that's always true like AI will change,586.14,4.68
251
+ everything just the same way that steel,588.6,4.14
252
+ and coal and steam power and internal,590.82,3.72
253
+ combustion engines changed everything,592.74,3.599
254
+ but it didn't solve The World's problems,594.54,4.919
255
+ it it solved a bunch of problems created,596.339,6.721
256
+ new problems and changed a lot of stuff,599.459,7.681
257
+ um another uh uh benefit for for the,603.06,6.779
258
+ deniers is that they're like hang on you,607.14,4.86
259
+ know tap the brakes like let's not,609.839,4.56
260
+ overreact let's not over uh like,612.0,4.8
261
+ regulate or you know fear monger and I I,614.399,3.901
262
+ do appreciate some of those comments,616.8,3.42
263
+ actually it's like some of the deniers,618.3,3.24
264
+ out there are like enough with the,620.22,3.84
265
+ fear-mongering like I don't care,621.54,5.76
266
+ um and then you know just we we have,624.06,5.279
267
+ survived 100 of everything that has come,627.3,4.62
268
+ our way so far and so like nothing has,629.339,4.981
269
+ exploded yet the where's the fire right,631.92,5.34
270
+ so there is some validity to the,634.32,4.86
271
+ perspective of deniers out there which,637.26,3.36
272
+ you know one of the things that they say,639.18,2.64
273
+ is there's nothing to see here right,640.62,3.779
274
+ nobody panic which you always need that,641.82,4.62
275
+ kind of energy too like you in any,644.399,3.721
276
+ society you want people raising the,646.44,3.54
277
+ alarm and other people tapping the,648.12,4.08
278
+ brakes we all have our purpose just like,649.98,5.34
279
+ us optimists also have our role to play,652.2,5.34
280
+ now there are some flaws with the,655.32,3.36
281
+ denialism,657.54,5.28
282
+ so one is from my perspective deniers,658.68,6.659
283
+ seem to underestimate the potential,662.82,4.8
284
+ risks especially when they say AGI is,665.339,4.44
285
+ not possible hard takeoff isn't possible,667.62,5.159
286
+ or these things are decades away,669.779,5.941
287
+ um another possibility is just like not,672.779,4.8
288
+ not fully thinking through like okay,675.72,3.42
289
+ even if there's a five percent chance,677.579,3.961
290
+ that AGI is happening within the next,679.14,4.8
291
+ five years only a five percent chance,681.54,4.5
292
+ what like still think through the cost,683.94,4.079
293
+ of that right like look at Bayes theorem,686.04,3.479
294
+ like okay there's a five percent chance,688.019,3.601
295
+ that AGI is going to happen and if we,689.519,3.781
296
+ don't do it right there is a very high,691.62,3.48
297
+ likelihood that like we're all gonna die,693.3,5.7
298
+ or end up in worse uh situation so in,695.1,6.06
299
+ action the cost the potential cost of,699.0,4.74
300
+ inaction or under action under reaction,701.16,5.28
301
+ is still pretty high,703.74,6.42
302
+ um another thing is is two uh or two two,706.44,5.459
303
+ things are exponential growth and,710.16,4.38
304
+ saltatory leaps so exponential growth,711.899,4.081
305
+ which I provided some evidence for at,714.54,2.52
306
+ the beginning of this video that's,715.98,3.24
307
+ happening that is a fact,717.06,3.959
308
+ and then actually let me go back to this,719.22,4.619
309
+ so this here where you have this Gap up,721.019,5.461
310
+ this is actually a mathematical evidence,723.839,5.221
311
+ of a what's called a saltatory leap so a,726.48,4.5
312
+ saltatory leap is when some breakthrough,729.06,4.98
313
+ or some uh compounding returns of,730.98,5.94
314
+ incremental progress result in sudden,734.04,4.739
315
+ breakthroughs that you could not have,736.92,3.659
316
+ predicted because if you just look at,738.779,3.721
317
+ this trend line you'd predict like okay,740.579,3.601
318
+ we wouldn't be here for another couple,742.5,4.32
319
+ years but we're here now right so that,744.18,4.92
320
+ that's a saltatory leap so you have to,746.82,5.28
321
+ acknowledge that saltatory leaps not,749.1,4.979
322
+ just do happen sometimes have happened,752.1,4.679
323
+ recently and if it's happened recently,754.079,4.981
324
+ it might happen again,756.779,5.281
325
+ um the lack of urgency by saying eh it's,759.06,5.7
326
+ decades away again you know you got to,762.06,3.959
327
+ think through it like okay but what if,764.76,2.699
328
+ it's not,766.019,5.041
329
+ um and the the the taking a big step,767.459,5.521
330
+ back the nothing to see here messaging,771.06,5.16
331
+ might lead to boiled frog syndrome the,772.98,5.039
332
+ the temperature is rising quickly this,776.22,3.54
333
+ year I think a lot of us agree on that,778.019,3.841
334
+ and so well you get used to it right,779.76,5.16
335
+ okay it's warmer than it was but it's,781.86,5.88
336
+ not hot yet thing is the time between it,784.92,4.44
337
+ gets warm and it gets hot and it starts,787.74,5.039
338
+ boiling that time could be shortening,789.36,6.719
339
+ so the social impacts of these of of,792.779,6.18
340
+ when thought leaders adopt more extreme,796.079,6.06
341
+ uh stances such as doomerism or deny uh,798.959,6.601
342
+ denialism is uh basically just a quick,802.139,6.421
343
+ recap the doomers create nihilism and,805.56,6.779
344
+ fatalism which discourages uh proactive,808.56,5.219
345
+ Solutions because they say that there is,812.339,3.421
346
+ no solution right that is one of the,813.779,3.601
347
+ underpinning assumptions of doomers is,815.76,4.079
348
+ that it's inevitable it's unavoidable,817.38,5.459
349
+ there is no solution don't even try,819.839,4.56
350
+ um and this promotes fear and anxiety,822.839,4.261
351
+ right which yes fear and anxiety are,824.399,5.041
352
+ evolutionarily there for a reason to,827.1,3.96
353
+ motivate us to do something about a,829.44,3.18
354
+ problem that we perceive,831.06,4.26
355
+ but too much of a of of an important,832.62,4.32
356
+ thing can still be bad,835.32,5.04
357
+ finally our next the impact of denialism,836.94,5.22
358
+ or denialism,840.36,3.599
359
+ um is that there's a false sense of,842.16,3.66
360
+ security right and we don't have to,843.959,4.021
361
+ worry about it eh it's not coming for a,845.82,4.74
362
+ long time right that's complacency and,847.98,5.88
363
+ act and inaction which undermines some,850.56,4.44
364
+ of the rest of us who are working and,853.86,3.0
365
+ saying actually this might be something,855.0,3.3
366
+ that we need to think a little bit,856.86,3.36
367
+ further ahead on,858.3,4.02
368
+ um because think about last year right,860.22,5.46
369
+ how um AI images exploded onto the scene,862.32,5.94
370
+ and nobody was ready for it right what,865.68,5.58
371
+ if the next thing that happens is not,868.26,5.22
372
+ just AI images or AI music or something,871.26,4.44
373
+ like that but something a little bit,873.48,3.9
374
+ more profound a little bit more,875.7,3.18
375
+ significant that we just weren't ready,877.38,3.3
376
+ for which means that the time to start,878.88,3.84
377
+ preparing for those things that we know,880.68,4.44
378
+ are coming eventually and we don't know,882.72,4.26
379
+ when that Jack-in-the-Box is gonna pop,885.12,4.079
380
+ the time to prepare is now,886.98,4.44
381
+ so some of the some of the consequences,889.199,4.981
382
+ that occur because of these the the,891.42,5.46
383
+ messaging is one polarization of of,894.18,5.279
384
+ public opinion some people are bending,896.88,4.62
385
+ over backwards to say more jobs are,899.459,4.38
386
+ coming let's not even think about you,901.5,5.519
387
+ know AI based war or the control problem,903.839,5.461
388
+ or anything like that uh what meanwhile,907.019,5.341
389
+ others are like ah no we're you know,909.3,4.92
390
+ lead the leaders around the world are,912.36,4.14
391
+ not even addressing these risks they're,914.22,4.679
392
+ just sitting on their on their hands so,916.5,4.86
393
+ we're doomed right because if the adults,918.899,3.901
394
+ in the room don't care or don't think,921.36,3.719
395
+ it's a problem but all of the kids are,922.8,3.779
396
+ like hey do you see that the house is on,925.079,3.301
397
+ fire like maybe we should put that out,926.579,4.26
398
+ first right that leads to more nihilism,928.38,5.699
399
+ more fatalism a lot of polarization,930.839,5.641
400
+ and then of course uh the Overton window,934.079,4.2
401
+ is still too narrow so the Overton,936.48,3.719
402
+ window is the concept of what is allowed,938.279,3.841
403
+ to be talked about in political,940.199,5.521
404
+ discourse so you know if you if you,942.12,5.159
405
+ follow my channel every now and then,945.72,3.179
406
+ I'll post links to videos like hey look,947.279,3.661
407
+ you know the conversation is Shifting,948.899,5.661
408
+ right just yesterday I posted a a a a a,950.94,6.48
409
+ video from DW news which is in Germany,954.56,5.74
410
+ where they try to address like hey,957.42,5.64
411
+ there's actual anxiety about like,960.3,5.58
412
+ everyone's jobs are going away right and,963.06,5.76
413
+ they bent over real God I listened to it,965.88,4.92
414
+ again they bent over backwards to try,968.82,4.319
415
+ and say well yeah a lot of low-paid jobs,970.8,3.96
416
+ are going away but there's a few high,973.139,3.901
417
+ paid jobs coming in and it's like okay,974.76,4.199
418
+ but still the point is is that most of,977.04,3.479
419
+ the medium and low-paid jobs are going,978.959,3.781
420
+ away and being replaced by a few,980.519,4.62
421
+ high-paying jobs that's not the promise,982.74,4.62
422
+ of like techno Revolution where AI,985.139,4.5
423
+ creates a whole bunch of new jobs,987.36,5.4
424
+ um and then I think it was Amazon uh or,989.639,5.101
425
+ Facebook one of them just an announced,992.76,4.68
426
+ even more layoffs and they explicitly,994.74,4.8
427
+ said that the reason for the layoffs is,997.44,3.12
428
+ that they're going to replace as many,999.54,3.599
429
+ people with AI as possible I called it,1000.56,6.12
430
+ I've been saying it so it's happening,1003.139,5.64
431
+ um so the Overton window is Shifting now,1006.68,5.599
432
+ okay why is this a big problem why like,1008.779,6.3
433
+ fundamentally why is it that some people,1012.279,5.92
434
+ are dimerous and denialists and what,1015.079,5.401
435
+ what is left in the wash what is missing,1018.199,4.981
436
+ from the conversation so one thing,1020.48,4.68
437
+ that's missing is there is not a,1023.18,4.44
438
+ coherent Global strategy,1025.16,5.22
439
+ and so what I mean by that is everyone's,1027.62,5.4
440
+ busy arguing you know in this little,1030.38,5.039
441
+ domain or this little domain uh you know,1033.02,5.279
442
+ about corporate governance or academic,1035.419,5.701
443
+ Integrity or should we have a moratorium,1038.299,5.581
444
+ right there's not really a global,1041.12,4.439
445
+ strategy no one has even proposed,1043.88,3.24
446
+ anything,1045.559,5.761
447
+ um then on top of that is as I mentioned,1047.12,5.64
448
+ just a moment ago,1051.32,3.66
449
+ uh calling for moratoriums is not a,1052.76,3.539
450
+ solution,1054.98,2.699
451
+ um that's not even that's not even a,1056.299,2.941
452
+ stopgap measure,1057.679,3.24
453
+ um and so when all the thought leaders,1059.24,3.6
454
+ in the world when none of them are,1060.919,3.841
455
+ really offering Solutions of course,1062.84,4.44
456
+ you're going to end up with a lot of uh,1064.76,4.98
457
+ bickering and arguing and also a lot of,1067.28,5.54
458
+ anxiety right we are humans and we love,1069.74,6.48
459
+ love when there are adults in the room,1072.82,5.979
460
+ that we trust to help make good,1076.22,4.5
461
+ decisions and to make sure that we're,1078.799,4.681
462
+ going to be okay right and right now on,1080.72,5.579
463
+ the topic of AI there's nobody really,1083.48,4.74
464
+ out there saying we're gonna be okay,1086.299,4.321
465
+ I've got a plan,1088.22,5.52
466
+ um and then uh on top of that Global,1090.62,4.799
467
+ strategy is a comprehensive roadmap,1093.74,4.819
468
+ right kind of the same thing,1095.419,3.14
469
+ said a lot of this stuff but really what,1098.78,4.259
470
+ we need is a is that Global,1100.34,4.5
471
+ comprehensive roadmap and a,1103.039,4.441
472
+ multi-layered approach to solving all,1104.84,4.92
473
+ these problems at all these different uh,1107.48,3.66
474
+ levels,1109.76,3.24
475
+ so I've already alluded to some of these,1111.14,3.36
476
+ things there's quite a bunch of stuff,1113.0,3.299
477
+ that doesn't work right calling for,1114.5,4.14
478
+ moratoriums just simply does not work,1116.299,4.62
479
+ we'll get into more detail about why,1118.64,6.06
480
+ moratoriums don't work and and and uh,1120.919,5.401
481
+ and all the incentives against it in,1124.7,3.359
482
+ just a moment another thing that doesn't,1126.32,4.14
483
+ work is bombing data centers sorry that,1128.059,4.921
484
+ is a really bone-headed suggestion,1130.46,5.099
485
+ uh complaining on Twitter writing op-eds,1132.98,4.98
486
+ writing mean comments on YouTube none of,1135.559,4.98
487
+ these things are actually helpful and,1137.96,3.839
488
+ another thing that's not helpful is,1140.539,2.88
489
+ actually just trusting corporations or,1141.799,3.061
490
+ the establishment to figure it out on,1143.419,2.281
491
+ their own,1144.86,4.02
492
+ we are all all humans Global,1145.7,5.96
493
+ stakeholders in AI,1148.88,5.82
494
+ so all these these the this list of,1151.66,4.36
495
+ stuff that I've just have that that,1154.7,2.88
496
+ doesn't work they're all molecule,1156.02,3.779
497
+ reactions and molecule Solutions which,1157.58,3.3
498
+ basically means that they will,1159.799,3.181
499
+ inevitably lead to those lose-lose,1160.88,4.02
500
+ outcomes that the doomers are are,1162.98,4.079
501
+ warning us against right again I'm not,1164.9,4.2
502
+ saying that the doomers are wrong if,1167.059,3.721
503
+ things keep going as they are the,1169.1,4.5
504
+ doomers are right I just I personally,1170.78,6.18
505
+ don't ascribe to constantly yelling fire,1173.6,6.12
506
+ and then claiming you know we're all,1176.96,4.44
507
+ gonna die,1179.72,5.579
508
+ okay so I outlined the big problems now,1181.4,5.82
509
+ what,1185.299,4.26
510
+ this video the entire purpose is to,1187.22,4.92
511
+ introduce kind of the crowning,1189.559,4.5
512
+ achievement so far of What Not Just I'm,1192.14,4.62
513
+ working on but the the rapidly growing,1194.059,5.401
514
+ community that I'm building,1196.76,4.74
515
+ um uh what started around the years to,1199.46,5.04
516
+ comparatives my research on alignment,1201.5,6.059
517
+ for individual models and agents it has,1204.5,6.78
518
+ quickly expanded so this gato framework,1207.559,7.62
519
+ Global alignment taxonomy Omnibus is,1211.28,6.42
520
+ that comprehensive strategy that I just,1215.179,4.74
521
+ mentioned that is missing it is not just,1217.7,4.56
522
+ for responsible AI development but is a,1219.919,5.461
523
+ coherent road map that everyone on the,1222.26,5.58
524
+ planet can participate in at various,1225.38,4.86
525
+ levels whatever level makes the most,1227.84,3.66
526
+ sense to you,1230.24,5.4
527
+ this framework has seven layers on ways,1231.5,8.16
528
+ to implement uh models AI systems and,1235.64,6.539
529
+ also alignment uh alignment-based,1239.66,4.8
530
+ regulations and we'll get into all the,1242.179,4.201
531
+ layers in just a moment,1244.46,5.579
532
+ uh but basically the the whole point of,1246.38,5.22
533
+ this gato framework that we're working,1250.039,4.861
534
+ on is that it will unite all,1251.6,5.28
535
+ stakeholders give us a common framework,1254.9,5.04
536
+ with which to have these discussions to,1256.88,5.28
537
+ broaden the Overton window to open the,1259.94,4.38
538
+ Overton window a little bit more so,1262.16,4.5
539
+ whatever part of the spectrum you're on,1264.32,4.859
540
+ whether you're saying eh it's not really,1266.66,4.379
541
+ an issue yet or we're all going to die,1269.179,4.261
542
+ or you don't care or you're an optimist,1271.039,4.981
543
+ whatever this is a framework that we can,1273.44,4.56
544
+ all participate in,1276.02,4.86
545
+ um just in a decentralized distributed,1278.0,5.64
546
+ and open source manner,1280.88,5.52
547
+ so as promised here are the seven layers,1283.64,5.1
548
+ of the gato framework and in the,1286.4,4.08
549
+ community we started saying that it's,1288.74,3.6
550
+ like a seven layer burrito so we use,1290.48,5.1
551
+ like taco cat as our little Avatar so,1292.34,5.88
552
+ layer one the lowest layer is model,1295.58,5.64
553
+ alignment so model alignment has to do,1298.22,6.0
554
+ with individual neural networks so that,1301.22,8.52
555
+ means gpt2 gpt3 gpt4 Bert vicuna uh,1304.22,8.28
556
+ stable LM all of these right large,1309.74,5.34
557
+ language models are proliferating like,1312.5,4.559
558
+ well I don't know just like locusts,1315.08,3.66
559
+ whatever,1317.059,4.441
560
+ it's happening right data sets are,1318.74,5.16
561
+ growing models are growing they're all,1321.5,4.799
562
+ coming out uh the cat's out of the bag,1323.9,5.04
563
+ right language technology multimodal,1326.299,4.801
564
+ technology it's all coming you can't,1328.94,3.719
565
+ stop it,1331.1,3.48
566
+ um so rather than stop it rather than,1332.659,4.801
567
+ call for moratoriums what we're doing is,1334.58,5.459
568
+ we're focusing on okay let's ride this,1337.46,5.06
569
+ wave I all have already proposed,1340.039,4.741
570
+ reinforcement learning with heuristic,1342.52,3.519
571
+ imperatives which is different from,1344.78,2.34
572
+ reinforcement learning with human,1346.039,3.661
573
+ feedback because human feedback aligns,1347.12,5.28
574
+ models to what humans want which what,1349.7,4.56
575
+ humans want and what humans need often,1352.4,4.259
576
+ very very different here is to,1354.26,3.84
577
+ comparatives is not just what humans,1356.659,4.621
578
+ want but what all life needs we're also,1358.1,4.74
579
+ talking about data set curation and,1361.28,3.06
580
+ inner alignment problems like Mesa,1362.84,3.12
581
+ optimization,1364.34,6.06
582
+ Layer Two is sorry autonomous systems so,1365.96,6.18
583
+ these are cognitive architectures and,1370.4,3.38
584
+ autonomous agents,1372.14,4.919
585
+ this is this is recently exploded on the,1373.78,4.48
586
+ scene with,1377.059,4.381
587
+ um you know Jarvis and baby AGI and,1378.26,5.76
588
+ agent GPT and all that fun stuff so you,1381.44,4.38
589
+ guys know what that is and it's coming,1384.02,3.12
590
+ and it's only going to get more,1385.82,3.359
591
+ sophisticated we're on the ground floor,1387.14,4.62
592
+ of autonomous systems this is year zero,1389.179,6.061
593
+ year two three four five like you can't,1391.76,5.58
594
+ on you cannot imagine how powerful,1395.24,4.679
595
+ autonomous systems are going to be in,1397.34,5.4
596
+ the coming years so at the at the the,1399.919,4.981
597
+ low level the engine level right the,1402.74,4.2
598
+ components under the hood that's the,1404.9,4.74
599
+ models the autonomous systems are the,1406.94,4.979
600
+ software architectures that use those,1409.64,3.96
601
+ systems including memory systems and,1411.919,4.021
602
+ apis and other stuff to create those,1413.6,5.52
603
+ autonomous cognitive entities right,1415.94,6.66
604
+ layer 3 is the decentralized network so,1419.12,5.16
605
+ you might have seen some of my recent,1422.6,2.6
606
+ videos where I've talked about,1424.28,3.3
607
+ blockchain decentralized autonomous,1425.2,4.959
608
+ organizations and also another component,1427.58,4.5
609
+ of that is what's called a federation so,1430.159,4.741
610
+ a federation is where you have either,1432.08,4.44
611
+ independent nodes or independent,1434.9,3.48
612
+ networks that can communicate and,1436.52,5.039
613
+ collaborate through Federated systems so,1438.38,8.039
614
+ these are the the network layer is how,1441.559,7.86
615
+ do we create networked intelligent,1446.419,6.961
616
+ entities that are also aligned and this,1449.419,5.701
617
+ is a tough nut to crack we've had lots,1453.38,3.419
618
+ of discussions in the group talking,1455.12,3.72
619
+ about can you implement Heroes to,1456.799,5.941
620
+ comparatives as a consensus mechanism at,1458.84,5.459
621
+ what level do you process it do you,1462.74,5.64
622
+ process it at every llm inference or do,1464.299,6.301
623
+ you wait for the decisions how do you,1468.38,4.679
624
+ make decisions around this kind of thing,1470.6,5.52
625
+ excuse me real tough nut to crack number,1473.059,6.0
626
+ four is where we jump from the technical,1476.12,5.34
627
+ implementation and research to more of,1479.059,5.221
628
+ the social political and economic uh,1481.46,4.5
629
+ layer of the stack,1484.28,3.36
630
+ and for all of you technologists out,1485.96,4.32
631
+ there you can probably see,1487.64,5.34
632
+ um my influence as a as a technologist,1490.28,5.04
633
+ because this is it's not modeled on the,1492.98,5.04
634
+ osm OSI model it's actually more closely,1495.32,4.92
635
+ modeled on the defense and depth model,1498.02,5.58
636
+ but it is a layered hierarchical stack,1500.24,6.6
637
+ or onion of uh of Concepts so corporate,1503.6,4.199
638
+ adoption,1506.84,2.339
639
+ here's the thing,1507.799,3.841
640
+ you cannot just tell a corporation you,1509.179,4.201
641
+ know what stop with the AI we don't we,1511.64,3.72
642
+ don't like where AI is going sure you,1513.38,4.74
643
+ can try to with regulation uh but you,1515.36,4.5
644
+ know like Italy tried to do that and,1518.12,3.9
645
+ then they reverse course right,1519.86,4.26
646
+ there's just way too much economic,1522.02,4.86
647
+ incentive the bottom line you know that,1524.12,4.76
648
+ is if you're if you're a corporation,1526.88,4.5
649
+ shareholders and the bottom line that's,1528.88,4.659
650
+ where the power is so rather than fight,1531.38,4.38
651
+ that part of what this framework does is,1533.539,4.321
652
+ say let's how let's figure out how we,1535.76,4.56
653
+ can align those heuristic imperatives,1537.86,4.26
654
+ reduce suffering increase prosperity and,1540.32,4.38
655
+ increase understanding how can we align,1542.12,5.22
656
+ those fundamental human needs the,1544.7,4.26
657
+ fundamental needs of all living things,1547.34,3.66
658
+ with corporate interest,1548.96,4.68
659
+ and so one story that I like to share is,1551.0,4.5
660
+ that I've had a few patreon uh,1553.64,3.659
661
+ supporters reach out to me and they're,1555.5,3.36
662
+ like hey I've got this autonomous system,1557.299,3.0
663
+ that I'm working on but it's like it's,1558.86,3.96
664
+ getting stuck or I need help or whatever,1560.299,5.041
665
+ um or even without asking for my help uh,1562.82,4.2
666
+ they said like hey I implemented the,1565.34,3.24
667
+ heroes to comparatives in my autonomous,1567.02,3.0
668
+ Business Systems and they work better,1568.58,5.699
669
+ and I'm like thanks share so like if you,1570.02,5.82
670
+ have any of those examples please post,1574.279,2.941
671
+ them on Reddit on the heroes to,1575.84,3.48
672
+ comparative subreddit because we need we,1577.22,3.839
673
+ need more of those stories about how,1579.32,3.78
674
+ aligned AI systems are actually good for,1581.059,4.381
675
+ business it's that simple the bottom,1583.1,4.86
676
+ line like I I will always say that,1585.44,4.56
677
+ corporations are intrinsically amoral,1587.96,5.219
678
+ however what I will say is that is that,1590.0,4.919
679
+ their profit motive their primary,1593.179,3.12
680
+ incentive structure which is to make,1594.919,4.62
681
+ more money will benefit from adopting,1596.299,5.101
682
+ heuristic comparative aligned systems,1599.539,4.081
683
+ services and products which I also we,1601.4,3.54
684
+ also have some members of the community,1603.62,3.12
685
+ who are working on spinning this out,1604.94,3.18
686
+ into either for-profit or not,1606.74,4.679
687
+ not-for-profit services and of course,1608.12,4.799
688
+ we're going to be publishing open source,1611.419,3.601
689
+ data sets reference architectures that,1612.919,3.661
690
+ sort of stuff to make it as easy as,1615.02,3.899
691
+ possible for corporations all over the,1616.58,5.459
692
+ world to adopt aligned AI,1618.919,5.041
693
+ uh and we're going to work on convincing,1622.039,3.24
694
+ them that this is the way to go too,1623.96,3.86
695
+ number five National regulations,1625.279,5.041
696
+ obviously as I just mentioned you know,1627.82,5.08
697
+ corporations can or sorry Nations can do,1630.32,4.28
698
+ some stuff like people pointed out like,1632.9,5.159
699
+ gdpr uh European unions like you know,1634.6,6.459
700
+ big package about like a uh data privacy,1638.059,5.161
701
+ and stuff and certainly as an I.T,1641.059,3.261
702
+ professional,1643.22,3.9
703
+ people on the technology side are,1644.32,5.14
704
+ terrified of gdpr right that's got some,1647.12,4.02
705
+ teeth right you know right to be,1649.46,3.78
706
+ forgotten where the data is owned and,1651.14,4.44
707
+ housed and data governance okay great,1653.24,6.179
708
+ that's all fine but see the thing is is,1655.58,5.82
709
+ Nations have their own incentive,1659.419,4.14
710
+ structure where it comes to Ai and what,1661.4,4.56
711
+ I mean by that is uh the the national,1663.559,4.441
712
+ interests of companies has to do with,1665.96,4.92
713
+ their own GDP as a whole so this is a,1668.0,6.539
714
+ big difference gdpr was about uh like,1670.88,5.64
715
+ data privacy for Citizens and social,1674.539,5.341
716
+ media it wasn't as directly tied to like,1676.52,6.899
717
+ the national growth of their G ADP it,1679.88,5.52
718
+ wasn't necessarily directly tied to,1683.419,3.661
719
+ their geopolitical influence or their,1685.4,4.68
720
+ military or their National Security,1687.08,4.92
721
+ AI today though,1690.08,4.199
722
+ is all of those things and more,1692.0,5.46
723
+ because GDP growth geopolitical,1694.279,5.101
724
+ influence National Security border,1697.46,4.38
725
+ security whatever all of that has to do,1699.38,4.44
726
+ those are the national interests that we,1701.84,4.62
727
+ are going to be working on aligning AI,1703.82,6.0
728
+ with and basically the long story short,1706.46,6.36
729
+ is at a national level We're not gonna,1709.82,4.92
730
+ we're not going to say hey Nations maybe,1712.82,4.02
731
+ you shouldn't adopt AI maybe you should,1714.74,3.179
732
+ slow it down maybe you should just,1716.84,3.12
733
+ regulate it we're going to be actually,1717.919,3.481
734
+ more I'm not going to say that like,1719.96,3.42
735
+ we're accelerationists because like you,1721.4,3.779
736
+ don't need to push the to go any faster,1723.38,3.48
737
+ right I'm not advocating for,1725.179,3.721
738
+ accelerationism I'm just observing that,1726.86,4.26
739
+ acceleration is happening so how do we,1728.9,4.639
740
+ steer it right and the idea is,1731.12,5.34
741
+ encouraging Nations to adopt Heroes,1733.539,5.921
742
+ comparative aligned uh models services,1736.46,5.699
743
+ and systems because at every level of,1739.46,4.92
744
+ government that will help steer the,1742.159,4.081
745
+ nation in a better Direction and their,1744.38,4.5
746
+ implementations will be safer more,1746.24,4.799
747
+ reliable more trustworthy so on and so,1748.88,4.26
748
+ forth and of course stability is good,1751.039,3.24
749
+ for business it's good for the account,1753.14,3.32
750
+ economy it's good for National Security,1754.279,5.52
751
+ and all that other fun stuff next up is,1756.46,5.5
752
+ number six uh layer six International,1759.799,4.681
753
+ treaties so I actually did wasn't the,1761.96,4.02
754
+ first one to come up with this idea but,1764.48,3.48
755
+ basically we're going to be advocating,1765.98,4.679
756
+ for an international Consortium like,1767.96,4.92
757
+ CERN but for AI because here's the other,1770.659,4.02
758
+ thing and a lot of people pointed this,1772.88,4.14
759
+ out is that a lot of Nations,1774.679,5.22
760
+ cannot even afford to participate in AI,1777.02,5.7
761
+ research right AI research is carried,1779.899,4.561
762
+ out largely by the wealthiest companies,1782.72,3.0
763
+ on the planet and the wealthiest,1784.46,2.76
764
+ countries on the planet,1785.72,3.42
765
+ that's going to intrinsically leave a,1787.22,4.439
766
+ lot of other nations uh behind in the,1789.14,4.98
767
+ dust right and that's just not fair that,1791.659,4.201
768
+ is a malarchy outcome where there's a,1794.12,3.419
769
+ few wealthy bastions and the rest are,1795.86,4.98
770
+ poor and they end up basically like,1797.539,6.26
771
+ tossed on the on the rough Seas of an AI,1800.84,5.64
772
+ saturated world so what we're going to,1803.799,5.081
773
+ do is we're going to advocate for a,1806.48,5.64
774
+ global international Consortium where uh,1808.88,6.899
775
+ people people Nations pool resources,1812.12,5.88
776
+ share their scientists share their,1815.779,5.101
777
+ research share their data so that we can,1818.0,5.46
778
+ all benefit equally across the whole,1820.88,6.539
779
+ globe which that also uh has uh knock-on,1823.46,6.079
780
+ benefits with in terms of alliances,1827.419,4.681
781
+ economic benefits because you look at,1829.539,4.721
782
+ like everyone's going to benefits from,1832.1,4.319
783
+ from like CERN and the collaborations,1834.26,4.44
784
+ between like NASA and Esa and and that,1836.419,3.721
785
+ sort of stuff so International,1838.7,3.959
786
+ scientific treaties generally one,1840.14,3.72
787
+ they've got a pretty good track record,1842.659,3.24
788
+ and two we've got a good model for them,1843.86,3.6
789
+ so we're just basically saying let's,1845.899,4.861
790
+ copy the success of NASA Issa of CERN,1847.46,6.24
791
+ and let's do it for AI again that's not,1850.76,5.46
792
+ like you know we're not this is nothing,1853.7,3.839
793
+ Earth shattering right it's been done,1856.22,2.88
794
+ before we're just saying maybe it is,1857.539,3.781
795
+ time to do this with AI and finally,1859.1,5.1
796
+ layer 7 of the gato framework is global,1861.32,5.76
797
+ consensus so Global consensus has to do,1864.2,5.219
798
+ with messaging,1867.08,5.459
799
+ um uh working with universities academic,1869.419,5.401
800
+ institutions uh industrial sectors,1872.539,5.701
801
+ National sectors uh social media right,1874.82,6.3
802
+ or all media really because if we can,1878.24,5.819
803
+ build consensus in every sector in every,1881.12,5.059
804
+ domain and at every level of society,1884.059,6.961
805
+ then consensus around how to uh align AI,1886.179,7.0
806
+ so that we all end up in a more utopian,1891.02,3.06
807
+ state,1893.179,3.48
808
+ the utopian attractor State rather than,1894.08,5.219
809
+ dystopia or Extinction then we're going,1896.659,4.561
810
+ to have a lot more energy right that,1899.299,3.961
811
+ Overton window is going to be aligned in,1901.22,4.14
812
+ the correct direction rather than you,1903.26,3.06
813
+ know because right now the Overton,1905.36,3.24
814
+ window is highly highly centered over,1906.32,4.979
815
+ we're all going to die or nothing is,1908.6,6.179
816
+ happening but really the truth is well,1911.299,5.461
817
+ those are possibilities but the Overton,1914.779,4.081
818
+ window needs to be broadened and that is,1916.76,4.139
819
+ one of the key components of global,1918.86,3.78
820
+ consensus,1920.899,4.38
821
+ so I just threw a lot at you and this,1922.64,5.82
822
+ all sounds really good Pie in the Sky uh,1925.279,5.461
823
+ you know blah blah right there's,1928.46,3.66
824
+ probably some skepticism so let's,1930.74,4.08
825
+ address that this all started as a very,1932.12,5.039
826
+ small Discord Community where I just,1934.82,3.9
827
+ wanted to bring some people together to,1937.159,3.061
828
+ help me do Heroes to comparatives,1938.72,4.92
829
+ research and it quickly very quickly,1940.22,5.22
830
+ scaled up,1943.64,4.74
831
+ um we to as of this recording we have I,1945.44,5.04
832
+ think right around just shy of 70 people,1948.38,5.22
833
+ involved and more people coming all the,1950.48,4.62
834
+ time we're actually having to work on,1953.6,4.14
835
+ figuring out ways of automating the,1955.1,4.74
836
+ recruiting the applications and the,1957.74,3.419
837
+ onboarding which we haven't figured out,1959.84,4.079
838
+ yet but we need to,1961.159,4.681
839
+ um we're organizing teams and projects,1963.919,4.38
840
+ around each layer of gato that I just uh,1965.84,4.02
841
+ outlined and so you can see those here,1968.299,4.5
842
+ on the right hand side so if you're a,1969.86,4.62
843
+ reinforcement learning researcher or an,1972.799,4.26
844
+ ml researcher or a data scientist we,1974.48,5.1
845
+ need your help with layer one if you're,1977.059,4.081
846
+ a software architect or a cloud,1979.58,4.079
847
+ architect or someone or devops someone,1981.14,5.34
848
+ who understands Automation and complex,1983.659,4.681
849
+ systems we need your help in Layer Two,1986.48,4.319
850
+ autonomous systems we've got a whole,1988.34,5.4
851
+ bunch of blockchain endow people working,1990.799,5.1
852
+ with us on layer three which is such a,1993.74,3.72
853
+ cool topic because where this is like,1995.899,3.541
854
+ super Cutting Edge also we're going to,1997.46,3.42
855
+ eat our own dog food we're already,1999.44,5.88
856
+ working on using Dows to help voting and,2000.88,6.0
857
+ decision making and allocation of,2005.32,4.32
858
+ resources within this project obviously,2006.88,4.98
859
+ as I've said in many of my videos a lot,2009.64,4.139
860
+ of blockchain and DOW technology is not,2011.86,4.319
861
+ ready but we are going to eat our own,2013.779,4.38
862
+ dog food and make sure that we are,2016.179,4.021
863
+ testing these things so that they'll do,2018.159,3.36
864
+ the things that we say that they need to,2020.2,2.819
865
+ do right we're going to figure it out as,2021.519,4.441
866
+ as we go number four corporate adoption,2023.019,5.821
867
+ we have a few entrepreneurs and Business,2025.96,5.819
868
+ Leaders we've got uh several ctOS in the,2028.84,4.8
869
+ group we need more connections to,2031.779,3.9
870
+ business and industry this means,2033.64,4.2
871
+ conferences this means,2035.679,4.38
872
+ um meetups this means,2037.84,4.8
873
+ um people on boards right A lot of my,2040.059,4.261
874
+ patreon supporters are business people,2042.64,3.659
875
+ and so like I work with them directly,2044.32,4.039
876
+ but we need more of that we need people,2046.299,5.401
877
+ uh working to evangelize,2048.359,5.081
878
+ um not just not just like saying hey,2051.7,3.659
879
+ Corporation you should adopt your,2053.44,3.239
880
+ heuristic imperatives and then leaving,2055.359,3.54
881
+ it at that we have startups that we're,2056.679,4.801
882
+ working with because the the companies,2058.899,4.801
883
+ offering aligned Services don't exist,2061.48,4.439
884
+ yet so we're helping incubate those,2063.7,3.36
885
+ things and I don't mean from a financial,2065.919,3.18
886
+ perspective but from a consultation,2067.06,5.039
887
+ perspective and so because if the if hi,2069.099,5.401
888
+ aligned Services goods and services,2072.099,5.401
889
+ exist companies can adopt them but until,2074.5,5.399
890
+ they exist they can't be adopted really,2077.5,5.159
891
+ number five National regulation we're,2079.899,5.7
892
+ just starting to have this conversation,2082.659,4.561
893
+ um actually just a conversation I had,2085.599,3.901
894
+ just a little while ago had to do with,2087.22,5.34
895
+ uh talking with some of the uh policy,2089.5,6.3
896
+ makers and lawyers and legislators that,2092.56,5.039
897
+ are concerned about this kind of stuff,2095.8,3.24
898
+ so for instance,2097.599,3.541
899
+ um the vice president uh I don't know if,2099.04,4.2
900
+ it's today but soon we'll be talking,2101.14,4.86
901
+ with all of the big Tech Giants right so,2103.24,3.66
902
+ we need to have more of those,2106.0,3.3
903
+ conversations and we need to add some of,2106.9,4.92
904
+ uh some of our perspective from the gato,2109.3,3.9
905
+ framework,2111.82,4.32
906
+ um into those National conversations but,2113.2,4.7
907
+ not just from it not just from a,2116.14,3.719
908
+ regulatory standpoint of the nation,2117.9,4.36
909
+ looking down into the nation the,2119.859,4.081
910
+ nation's looking up and out to the rest,2122.26,3.24
911
+ of the world because as I mentioned,2123.94,4.32
912
+ National Security that is a huge thing,2125.5,4.8
913
+ GDP growth that is a big thing in,2128.26,4.5
914
+ geopolitical influence AI is going to,2130.3,5.039
915
+ affect all of these domains number six,2132.76,5.7
916
+ uh the international treaty again we,2135.339,5.821
917
+ need we need people that are connected,2138.46,5.159
918
+ to the UN,2141.16,3.24
919
+ um,2143.619,4.321
920
+ uh maybe NATO I don't know oecd all,2144.4,6.48
921
+ kinds of stuff uh UNESCO there's all,2147.94,4.5
922
+ kinds of international organizations,2150.88,4.02
923
+ that we would like to be connected with,2152.44,5.34
924
+ and work with and talk to in order to,2154.9,5.4
925
+ have these conversations and,2157.78,4.02
926
+ by and large just make the right,2160.3,3.299
927
+ connections so that these conversations,2161.8,4.14
928
+ are happening and we can articulate the,2163.599,5.161
929
+ gato framework and get it published and,2165.94,5.58
930
+ then finally layer 7 Global consensus we,2168.76,4.14
931
+ have writers we have graphic,2171.52,3.0
932
+ communicators we've got editors we've,2172.9,3.66
933
+ got audio Engineers,2174.52,4.76
934
+ um we're working with uh people all over,2176.56,6.12
935
+ even more influencers have excuse me,2179.28,6.22
936
+ reached out to me so I'm uh I'm going to,2182.68,4.74
937
+ be having conversations with them so,2185.5,6.18
938
+ that we can all align on this consensus,2187.42,6.6
939
+ and then here's our uh here's our our,2191.68,4.38
940
+ mascot it's our own version of taco cat,2194.02,5.16
941
+ so again you know gato cat and then you,2196.06,7.26
942
+ know seven layered Taco you get the idea,2199.18,6.48
943
+ um okay so you're probably glazing over,2203.32,4.14
944
+ at this point but you've got the meat of,2205.66,3.3
945
+ it so if you're really really super,2207.46,4.02
946
+ interested in the layers let's take a,2208.96,4.56
947
+ look at the layers of Gato in a little,2211.48,5.22
948
+ bit bigger depth so number one of uh,2213.52,5.22
949
+ layer one model alignment fine tuning,2216.7,3.72
950
+ the very first experiment that I,2218.74,4.02
951
+ published was on fine tuning large,2220.42,4.14
952
+ language models so that they are aligned,2222.76,4.38
953
+ number two reinforcement learning again,2224.56,4.44
954
+ that is the goal is how do you create,2227.14,4.08
955
+ the data sets in the systems and the,2229.0,6.0
956
+ signals in order to have uh models that,2231.22,6.06
957
+ not only are initially aligned to,2235.0,4.32
958
+ heuristic imperatives and human needs,2237.28,4.2
959
+ and the needs of all life but how do you,2239.32,3.72
960
+ make sure that they get better at that,2241.48,3.3
961
+ over time right that is the entire,2243.04,4.2
962
+ purpose of heuristics heuristics uh,2244.78,3.839
963
+ heuristic imperatives and reinforcement,2247.24,4.56
964
+ learning basically the same thing,2248.619,5.281
965
+ um at least here's the comparatives are,2251.8,3.84
966
+ reinforcement learning on a specific,2253.9,2.939
967
+ trajectory,2255.64,4.74
968
+ model bias so there's uh there's a lot,2256.839,5.821
969
+ of intrinsic bias in models there's been,2260.38,4.56
970
+ uh some really interesting studies even,2262.66,4.02
971
+ chat GPT with reinforcement learning,2264.94,3.72
972
+ with human feedback is still pretty,2266.68,4.439
973
+ sexist it's also pretty racist depending,2268.66,3.9
974
+ on the kinds of prompts that you use,2271.119,3.661
975
+ there's a lot of implicit bias then,2272.56,4.68
976
+ there's also um Mesa optimization which,2274.78,4.74
977
+ I'm not sure I'm not entirely sure that,2277.24,4.74
978
+ Mesa optimization is a problem for,2279.52,5.16
979
+ language models but it could be,2281.98,4.68
980
+ um so we'll see but we need to be aware,2284.68,3.659
981
+ of that and we need to study it and if,2286.66,3.54
982
+ it is there we need to address it but,2288.339,4.321
983
+ Mesa optimization is like a tiny,2290.2,4.44
984
+ component of this whole framework,2292.66,5.699
985
+ open source data sets so one of the,2294.64,6.3
986
+ things that I mentioned is open source,2298.359,4.98
987
+ open source Open Source by by creating,2300.94,4.26
988
+ and Publishing open source data sets,2303.339,5.28
989
+ that can uh one they're transparent but,2305.2,6.06
990
+ two that can foster collaboration and,2308.619,4.261
991
+ ultimately one of the things that I hope,2311.26,4.26
992
+ to achieve is what I call axiomatic,2312.88,5.219
993
+ alignment so axiomatic alignment is what,2315.52,4.8
994
+ happens when through conversation,2318.099,4.98
995
+ through experimentation through repeated,2320.32,5.64
996
+ augmentation of Open Source data sets,2323.079,5.341
997
+ practically every data set out there,2325.96,5.76
998
+ that AI is trained on intrinsically has,2328.42,5.88
999
+ some alignment baked into it and if,2331.72,5.1
1000
+ every data set or all or if enough data,2334.3,5.94
1001
+ sets are aligned then you can end up,2336.82,6.18
1002
+ with a a virtuous cycle or a positive,2340.24,5.46
1003
+ feedback loop where every subsequent,2343.0,5.339
1004
+ data set is also more and more aligned,2345.7,5.46
1005
+ so from a model perspective the,2348.339,5.041
1006
+ overarching goal is to arrive at a place,2351.16,4.56
1007
+ of axiomatic alignment,2353.38,4.14
1008
+ so this will require us to solve,2355.72,4.2
1009
+ problems around training model,2357.52,5.04
1010
+ architecture and then finally the data,2359.92,5.1
1011
+ ecosystem that we build and when I say,2362.56,4.559
1012
+ we I don't mean just those of us in gato,2365.02,4.74
1013
+ the gato framework project but everyone,2367.119,4.74
1014
+ everyone participating this whether,2369.76,4.2
1015
+ they're academic researchers corporate,2371.859,4.321
1016
+ government military so on and so forth,2373.96,5.28
1017
+ now Layer Two autonomous systems I,2376.18,3.96
1018
+ already talked a little bit about,2379.24,3.66
1019
+ cognitive architecture we don't need to,2380.14,4.92
1020
+ um you know beat the dead horse there,2382.9,4.439
1021
+ but one of the things that we want to,2385.06,4.62
1022
+ talk about and and publish is an open,2387.339,4.26
1023
+ source reference architecture that's,2389.68,3.72
1024
+ really the primary one of the primary,2391.599,3.961
1025
+ goals here is what are the components,2393.4,3.84
1026
+ what are the system components that you,2395.56,4.559
1027
+ need in order to have a fully aligned,2397.24,5.52
1028
+ and fully autonomous system so this,2400.119,3.901
1029
+ includes some of these things like,2402.76,3.78
1030
+ self-evaluation and stability we are,2404.02,5.339
1031
+ working on how do you how do you design,2406.54,4.92
1032
+ tasks how do you evaluate past,2409.359,3.661
1033
+ performance how do you automatically,2411.46,3.78
1034
+ label data and how do you create modular,2413.02,4.98
1035
+ design patterns that allow for anyone,2415.24,6.18
1036
+ and everyone to create their own fully,2418.0,5.82
1037
+ autonomous systems that are also aligned,2421.42,5.22
1038
+ to the heuristic imperatives and,2423.82,6.0
1039
+ therefore should be benevolent so by,2426.64,5.1
1040
+ getting by having the ultimate goal of,2429.82,3.84
1041
+ publishing these open source reference,2431.74,3.72
1042
+ architectures that'll make it really,2433.66,4.02
1043
+ easy for all corporations out there and,2435.46,3.78
1044
+ all private individuals and all,2437.68,4.86
1045
+ governments to adopt these uh these,2439.24,4.859
1046
+ patterns these software architecture,2442.54,4.62
1047
+ patterns which again just by providing,2444.099,4.621
1048
+ that answer and making it as easy as,2447.16,5.3
1049
+ possible will be a one component in,2448.72,5.82
1050
+ solving alignment and the control,2452.46,4.24
1051
+ problem globally,2454.54,5.52
1052
+ so decentralized networks this is not,2456.7,5.52
1053
+ just blockchain not just Dows but also,2460.06,5.34
1054
+ federations so keep that in mind,2462.22,4.28
1055
+ um,2465.4,4.08
1056
+ there's two primary components here one,2466.5,5.02
1057
+ first we just have to figure out how to,2469.48,3.72
1058
+ do these Technologies because by and,2471.52,3.72
1059
+ large these are still highly,2473.2,4.32
1060
+ experimental Technologies,2475.24,3.839
1061
+ um and I will be the first to admit that,2477.52,3.18
1062
+ maybe blockchain and DOW is not the,2479.079,4.381
1063
+ correct way but in principle some kind,2480.7,4.8
1064
+ of Federated system or decentralized,2483.46,4.68
1065
+ network is probably the way to go in,2485.5,4.74
1066
+ order to have some of these things such,2488.14,4.68
1067
+ as algorithmic consensus when we're in a,2490.24,3.96
1068
+ world where we have billions upon,2492.82,3.6
1069
+ billions of autonomous agents all,2494.2,4.62
1070
+ working on their own we need a way for,2496.42,4.8
1071
+ them to work with each other and with us,2498.82,6.06
1072
+ to come up with a consensus mechanisms,2501.22,7.02
1073
+ that will slow slow the roll basically,2504.88,5.04
1074
+ so there's a couple components that can,2508.24,3.96
1075
+ go into that one is trust and reputation,2509.92,6.179
1076
+ mechanisms so if you have you know some,2512.2,6.659
1077
+ arbitrary AI agent operating out on the,2516.099,4.26
1078
+ net on its own,2518.859,4.561
1079
+ if it is an untrusted agent then maybe,2520.359,4.74
1080
+ you don't want to give it resources or,2523.42,3.199
1081
+ you don't want to give it any Credence,2525.099,3.541
1082
+ that's what I mean by trust and,2526.619,4.0
1083
+ reputation mechanisms resource control,2528.64,4.8
1084
+ and allocation is another aspect of,2530.619,4.861
1085
+ using blockchain or Dao or Federated,2533.44,4.86
1086
+ Technologies which basically means if an,2535.48,5.16
1087
+ agent is behaving in a way that is not,2538.3,5.4
1088
+ aligned if the consensus of all agents,2540.64,4.74
1089
+ says hey that's a little bit destructive,2543.7,3.84
1090
+ maybe you shouldn't do it you revoke its,2545.38,4.979
1091
+ access to computational resources data,2547.54,5.22
1092
+ that sort of thing which can be a way to,2550.359,6.301
1093
+ allow and Empower uh autonomous agents,2552.76,5.7
1094
+ to police each other,2556.66,5.16
1095
+ and then finally incentivizing alignment,2558.46,5.1
1096
+ um so one of the things uh that people,2561.82,3.48
1097
+ are concerned about is instrumental,2563.56,3.84
1098
+ convergence so instrumental convergence,2565.3,6.72
1099
+ is the idea that um AI uh no matter what,2567.4,6.78
1100
+ goals you give it will be incentivized,2572.02,4.92
1101
+ to pursue basic similar things like,2574.18,5.22
1102
+ control of power more data that sort of,2576.94,5.639
1103
+ stuff but so that's that's based on its,2579.4,5.699
1104
+ in intrinsic motivations right an AI,2582.579,5.401
1105
+ needs electricity to run so therefore it,2585.099,4.081
1106
+ will always have some intrinsic,2587.98,3.9
1107
+ motivation to do that now through these,2589.18,4.32
1108
+ Network systems whether it's Federated,2591.88,3.9
1109
+ decentralized however the network,2593.5,5.579
1110
+ architecture is ultimately designed if,2595.78,6.18
1111
+ you incentivize their behavior to get,2599.079,4.801
1112
+ the behavior that you want so that they,2601.96,4.139
1113
+ can get what they want then that is the,2603.88,5.52
1114
+ way to go so for instance if you use,2606.099,5.581
1115
+ resource tokens or cryptocurrency or,2609.4,3.78
1116
+ whatever to say hey,2611.68,3.72
1117
+ everything that you do that is aligned,2613.18,4.8
1118
+ the the the the the the rest of the,2615.4,4.38
1119
+ network says we agree with that behavior,2617.98,3.66
1120
+ we agree with that decision we'll give,2619.78,3.6
1121
+ you a little bit more data or a little,2621.64,4.679
1122
+ bit more computational horsepower that,2623.38,5.1
1123
+ sort of stuff so you incentivize the,2626.319,4.5
1124
+ behavior that you want to see,2628.48,5.22
1125
+ number four corporate adoption so again,2630.819,4.981
1126
+ like I said for everyone that's talked,2633.7,3.6
1127
+ to me about it implementing Heroes to,2635.8,3.779
1128
+ comparatives ultimately just creates,2637.3,4.799
1129
+ better Solutions so if the best AI,2639.579,4.981
1130
+ services and products are aligned,2642.099,4.861
1131
+ the solution sells itself that's that,2644.56,4.08
1132
+ can that could literally be the end of,2646.96,4.2
1133
+ the conversation is that working with,2648.64,3.9
1134
+ corporations whether it's the tech,2651.16,3.84
1135
+ Giants providing these services or,2652.54,4.22
1136
+ everyone else consuming those services,2655.0,5.579
1137
+ to realize and develop those services so,2656.76,6.4
1138
+ that all AI services are intrinsically,2660.579,4.74
1139
+ aligned and of course open AI has done,2663.16,4.26
1140
+ their best you know they have,2665.319,3.661
1141
+ um they have their own internal research,2667.42,3.24
1142
+ one problem though is that they're not,2668.98,3.42
1143
+ sharing that research,2670.66,3.959
1144
+ um so their their work on alignment is a,2672.4,3.959
1145
+ total black box which means nobody else,2674.619,3.061
1146
+ can,2676.359,3.781
1147
+ um Can can duplicate it so we need an,2677.68,4.8
1148
+ open source way so that everyone can,2680.14,4.679
1149
+ duplicate alignment research and make,2682.48,4.44
1150
+ sure that all their apis all their AIS,2684.819,4.921
1151
+ are aligned and then corporations don't,2686.92,4.08
1152
+ even need to think about it right,2689.74,3.06
1153
+ because again corporations are like okay,2691.0,3.0
1154
+ whatever whatever is going to make us,2692.8,3.36
1155
+ the most money will do that and that's,2694.0,5.579
1156
+ yeah so if we if we create a corporate,2696.16,6.54
1157
+ ecosystem if an economic ecosystem in,2699.579,5.221
1158
+ which the best option Finance actually,2702.7,4.68
1159
+ is also the most aligned option problem,2704.8,4.74
1160
+ solved now that's a big if,2707.38,4.5
1161
+ there's a few other reasons though that,2709.54,4.86
1162
+ adopting aligned AI services and systems,2711.88,4.5
1163
+ would be good for corporations one,2714.4,3.48
1164
+ public relations,2716.38,3.479
1165
+ you know whatever whatever is popular in,2717.88,4.86
1166
+ Vogue so for instance like LGBT rights,2719.859,4.98
1167
+ super popular right now all the rage so,2722.74,4.079
1168
+ guess what a lot of corporations are,2724.839,4.081
1169
+ jumping on that bandwagon bandwagon,2726.819,4.081
1170
+ mentality is good as long as it aligns,2728.92,4.74
1171
+ on also something that is good employee,2730.9,5.1
1172
+ satisfaction now obviously I think that,2733.66,4.14
1173
+ employment conventional employment is,2736.0,2.76
1174
+ going to be going the way of the,2737.8,2.819
1175
+ dinosaurs by and large but for the,2738.76,3.78
1176
+ employees that are there it really feels,2740.619,4.681
1177
+ good to know that your company as part,2742.54,4.86
1178
+ of a higher mission to make the world,2745.3,4.62
1179
+ better for everyone so just gonna throw,2747.4,3.9
1180
+ that out there and then finally,2749.92,3.179
1181
+ stakeholder capitalism,2751.3,4.559
1182
+ stakeholder capitalism is an is a a,2753.099,6.061
1183
+ paradigm whereby it's not just you you,2755.859,5.281
1184
+ the corporation and your customers it's,2759.16,3.78
1185
+ everyone as a stakeholder so that's,2761.14,3.959
1186
+ employees customer suppliers environment,2762.94,5.04
1187
+ the rest of society so by adopting,2765.099,4.921
1188
+ aligned AI that can also bring,2767.98,3.9
1189
+ corporations in a line with stakeholder,2770.02,4.68
1190
+ capitalism as that idea continues to,2771.88,4.14
1191
+ develop,2774.7,3.899
1192
+ oh this is a long video uh number five,2776.02,4.5
1193
+ National regulations I already mentioned,2778.599,6.0
1194
+ GDP GDP growth obviously AI is a gonna,2780.52,7.26
1195
+ be a huge powerful economic engine for,2784.599,5.401
1196
+ the foreseeable future so we need to,2787.78,4.44
1197
+ make sure that as Nations you know try,2790.0,4.5
1198
+ to maximize their GDP which they are all,2792.22,3.96
1199
+ incentivized to do so that's fine I'm,2794.5,2.64
1200
+ not going to tell them that they're,2796.18,1.919
1201
+ wrong,2797.14,2.28
1202
+ um I don't think that it's necessarily,2798.099,3.24
1203
+ the best thing to optimize for but,2799.42,4.14
1204
+ that's how the world works right now you,2801.339,4.201
1205
+ can wish in one hand and you know you,2803.56,3.18
1206
+ know what you can do on the other hand,2805.54,3.48
1207
+ guess which one fills up,2806.74,4.02
1208
+ um National Security so this is the,2809.02,4.02
1209
+ biggest thing right the US's uh chips,2810.76,4.319
1210
+ act where we you know did the the AI,2813.04,4.319
1211
+ chips embargo against China right that's,2815.079,5.341
1212
+ an example of the geopolitical game of,2817.359,4.381
1213
+ chess that is going to be playing out,2820.42,4.86
1214
+ for the foreseeable future around Ai and,2821.74,6.96
1215
+ adversarial uses of AI so by working,2825.28,6.539
1216
+ with nations in in line in alignment,2828.7,5.639
1217
+ with their their national interests we,2831.819,5.401
1218
+ can also work with them to adopt more,2834.339,5.421
1219
+ aligned AI solicit Solutions and systems,2837.22,5.76
1220
+ Democratic institutions so uh voter,2839.76,7.059
1221
+ rights electric transparency Judicial,2842.98,7.08
1222
+ Systems AI is going to impact every,2846.819,7.321
1223
+ element every aspect of uh liberal,2850.06,6.6
1224
+ Democratic societies including the,2854.14,4.38
1225
+ agencies that the that those governments,2856.66,4.14
1226
+ run on so by working with them to say,2858.52,5.04
1227
+ here's how you can Implement AI to both,2860.8,5.46
1228
+ save money and be a better Society to,2863.56,4.259
1229
+ strengthen your Democratic institutions,2866.26,3.839
1230
+ that will benefit everyone,2867.819,4.8
1231
+ geopolitical influence ditto there's,2870.099,5.881
1232
+ going to be things about trade for,2872.619,6.24
1233
+ instance alliances all of those things,2875.98,4.98
1234
+ are going to be impacted by AI which we,2878.859,4.621
1235
+ need to study and we need to become the,2880.96,4.26
1236
+ world experts on so that we can advise,2883.48,4.02
1237
+ and consult properly and then finally,2885.22,4.139
1238
+ sustainability which comes down to,2887.5,3.78
1239
+ environmental challenges in the grand,2889.359,4.021
1240
+ scheme of things I think that if we,2891.28,4.38
1241
+ solve these other problems then by,2893.38,4.68
1242
+ virtue of solving those problems around,2895.66,5.179
1243
+ consensus we'll probably also figure out,2898.06,5.1
1244
+ environmental control,2900.839,5.141
1245
+ layer 6 International treaty I already,2903.16,5.159
1246
+ mentioned um basically CERN but for AI,2905.98,4.56
1247
+ so just a really quick recap of the,2908.319,4.621
1248
+ benefits one membership and governance,2910.54,5.16
1249
+ where all uh all nations are,2912.94,4.98
1250
+ stakeholders and so they can join and,2915.7,3.48
1251
+ make decisions collectively,2917.92,4.38
1252
+ collaborative research again same exact,2919.18,4.2
1253
+ thing that we already see with CERN,2922.3,3.5
1254
+ shared resources and infrastructure,2923.38,4.5
1255
+ Education and Training so this is,2925.8,3.94
1256
+ another thing is there's probably going,2927.88,4.199
1257
+ to be a shortfall of qualified Ai,2929.74,4.619
1258
+ blockchain and and cognitive Architects,2932.079,4.921
1259
+ for a while so by working together to,2934.359,4.201
1260
+ make sure that we train up the people,2937.0,3.96
1261
+ that we need to solve this problem that,2938.56,3.779
1262
+ is something that International,2940.96,4.08
1263
+ cooperation could do a lot for open,2942.339,4.5
1264
+ science and knowledge sharing again that,2945.04,4.02
1265
+ has been well established with,2946.839,3.541
1266
+ um with some of these existing things,2949.06,4.98
1267
+ International cooperation ditto huh see,2950.38,6.479
1268
+ above statements and then finally uh,2954.04,4.74
1269
+ Global consensus I already mentioned uh,2956.859,3.48
1270
+ pretty much all of these,2958.78,3.42
1271
+ um academic institutions we've got we've,2960.339,3.78
1272
+ already got a few professors and,2962.2,4.08
1273
+ students in the group so we've got a few,2964.119,3.901
1274
+ lines in you know we've got feelers and,2966.28,4.92
1275
+ fingers into um into the academic,2968.02,4.5
1276
+ establishment,2971.2,2.879
1277
+ um I've actually personally had probably,2972.52,3.18
1278
+ a hundred different students reach out,2974.079,2.76
1279
+ to me,2975.7,4.02
1280
+ um either on patreon Discord or LinkedIn,2976.839,5.101
1281
+ or Twitter and every time they ask me,2979.72,3.599
1282
+ like Dave what should I what should I do,2981.94,4.08
1283
+ and I'm like AI man like it's going that,2983.319,5.04
1284
+ way if you care about the future like,2986.02,4.2
1285
+ take a look at like some of the stuff,2988.359,3.96
1286
+ that I've written and advocate for yours,2990.22,3.66
1287
+ to comparatives research and they're,2992.319,3.841
1288
+ like cool that's what I'll do,2993.88,5.64
1289
+ um so you know because education is the,2996.16,6.9
1290
+ future as as as many criticisms as I,2999.52,5.22
1291
+ have of particularly American,3003.06,4.14
1292
+ institutions universities are here,3004.74,4.079
1293
+ they're here to stay they're important,3007.2,4.58
1294
+ stakeholders in this entire conversation,3008.819,5.941
1295
+ media engagement so this is this has to,3011.78,5.44
1296
+ do with mainstream media this has to do,3014.76,5.16
1297
+ with social media uh all of the above,3017.22,4.2
1298
+ one of the things that we're working on,3019.92,3.24
1299
+ is we're working on producing materials,3021.42,4.08
1300
+ to make all this as accessible and,3023.16,4.74
1301
+ shareable as possible so we're creating,3025.5,3.96
1302
+ graphical slide decks we're creating,3027.9,4.62
1303
+ educational materials I've got my videos,3029.46,4.74
1304
+ um that sort of stuff because the more,3032.52,3.54
1305
+ information that we get out there the,3034.2,4.2
1306
+ easier it is to consume the more widely,3036.06,4.08
1307
+ it's shared the better off we're all,3038.4,3.02
1308
+ going to be,3040.14,4.26
1309
+ next up is industry Partnerships again,3041.42,5.199
1310
+ as I mentioned just a minute ago one of,3044.4,3.419
1311
+ the things that we're that we're working,3046.619,3.48
1312
+ on is publishing those open source,3047.819,5.28
1313
+ standards advocating for startups and,3050.099,4.861
1314
+ other companies to build and adopt,3053.099,5.161
1315
+ aligned AI services and Pro products and,3054.96,5.46
1316
+ just by working with them to say hey we,3058.26,4.559
1317
+ recognize that your bottom line is the,3060.42,4.139
1318
+ most important thing to companies let's,3062.819,3.78
1319
+ make sure that that that that you,3064.559,4.681
1320
+ implement and deploy these things in a,3066.599,3.72
1321
+ way that doesn't have unintended,3069.24,3.599
1322
+ negative consequences and then finally,3070.319,5.401
1323
+ policy advocacy so this has to do with,3072.839,5.041
1324
+ back going back every layer which is,3075.72,5.78
1325
+ working with legislators lawyers,3077.88,5.939
1326
+ and other groups you know whether it's,3081.5,4.9
1327
+ think tanks whoever in order to better,3083.819,4.981
1328
+ understand this stuff so an example of,3086.4,4.26
1329
+ this is I've got a few meetings coming,3088.8,4.62
1330
+ up later in May where I'll be meeting,3090.66,5.52
1331
+ with people to help bring them up to,3093.42,4.919
1332
+ speed with some of these ideas and help,3096.18,4.26
1333
+ guide them as to like okay this is,3098.339,4.02
1334
+ what's happening this is how it works,3100.44,4.08
1335
+ and here's a here's an approach that we,3102.359,4.681
1336
+ can take to make sure that it doesn't uh,3104.52,5.22
1337
+ go uh belly side up,3107.04,4.62
1338
+ now,3109.74,4.02
1339
+ um we all have a good story,3111.66,4.98
1340
+ for understanding this so in Avengers,3113.76,5.099
1341
+ which I talk about this probably more,3116.64,4.5
1342
+ than I should near the very end when,3118.859,4.861
1343
+ Thanos said I am inevitable,3121.14,6.54
1344
+ that is a fictional representation of,3123.72,7.92
1345
+ Malik so the the idea is that Thanos was,3127.68,6.24
1346
+ an Unstoppable destructive force that,3131.64,4.14
1347
+ nobody wanted he wanted an outcome that,3133.92,4.56
1348
+ nobody wanted but it seemed inevitable,3135.78,5.22
1349
+ and he even said I am inevitable,3138.48,3.839
1350
+ the snap,3141.0,3.78
1351
+ the idea that there could be a moment in,3142.319,5.641
1352
+ time that everything goes sideways,3144.78,5.94
1353
+ everything goes wrong that is what,3147.96,5.399
1354
+ Singularity or hard takeoff or whatever,3150.72,5.58
1355
+ could represent the Infinity Stones,3153.359,5.641
1356
+ think of those as the power of AI as as,3156.3,4.68
1357
+ we get more and more AI capabilities,3159.0,4.8
1358
+ it's like we're loading up our Gauntlet,3160.98,4.68
1359
+ um the sacrifice that various people,3163.8,3.84
1360
+ make like Tony Stark we have a lot of,3165.66,4.02
1361
+ hard choices to make including just the,3167.64,3.78
1362
+ investment that people like me and,3169.68,3.84
1363
+ everyone in the community are making in,3171.42,5.1
1364
+ terms of time and energy and the risks,3173.52,5.4
1365
+ that we're taking in order to say hey we,3176.52,4.26
1366
+ see this problem coming and we're going,3178.92,3.72
1367
+ to try and do something about it,3180.78,4.74
1368
+ in the story of undoing the snap the,3182.64,5.1
1369
+ idea is that there is always hope that,3185.52,4.68
1370
+ with the right people the right team and,3187.74,5.22
1371
+ the right effort you can either avert,3190.2,6.119
1372
+ disaster or undo disaster now obviously,3192.96,4.74
1373
+ a lot of doomers say we don't get a,3196.319,3.721
1374
+ do-over we don't get we we get one shot,3197.7,3.84
1375
+ at this I don't know whether or not,3200.04,4.68
1376
+ that's true but the idea is that we are,3201.54,6.6
1377
+ barreling towards our end game right we,3204.72,5.82
1378
+ have we must have the right people the,3208.14,3.9
1379
+ right team,3210.54,4.98
1380
+ um in a concerted Global effort in order,3212.04,6.18
1381
+ to solve this problem safely and not,3215.52,4.2
1382
+ just not just solve it like,3218.22,3.06
1383
+ satisfactorily,3219.72,3.48
1384
+ because again there's many possible,3221.28,3.6
1385
+ outcomes I don't want a dystopian,3223.2,4.02
1386
+ outcome any more than I want Extinction,3224.88,6.179
1387
+ or collapse there's one possible outcome,3227.22,6.839
1388
+ that is win-win that is Utopia and we,3231.059,4.621
1389
+ got to thread that needle and we'll be,3234.059,3.361
1390
+ working as hard as we can to make sure,3235.68,4.679
1391
+ that that happens so this is The,3237.42,6.24
1392
+ Avengers Assemble moment if you want to,3240.359,6.361
1393
+ join this effort the link to apply is in,3243.66,5.34
1394
+ the description of this video if you,3246.72,4.08
1395
+ don't want to participate directly you,3249.0,3.96
1396
+ can also support me on patreon I'm also,3250.8,3.66
1397
+ happy to support you if you support me,3252.96,4.32
1398
+ on patreon I have a private patreon,3254.46,5.159
1399
+ Discord where I answer questions we,3257.28,4.799
1400
+ actually just started having office,3259.619,5.881
1401
+ hours Town Hall Days where all my,3262.079,4.74
1402
+ patreon supporters can interact with,3265.5,4.14
1403
+ each other and with me in real time if,3266.819,4.141
1404
+ you've been laid off and you've got,3269.64,3.24
1405
+ technical skills or political skills or,3270.96,3.84
1406
+ communication skills or whatever,3272.88,3.9
1407
+ maybe now's the time for you to join the,3274.8,4.74
1408
+ effort if you're scared one of the one,3276.78,4.38
1409
+ of the most powerful things that people,3279.54,4.14
1410
+ have told me in in in the heuristics,3281.16,4.56
1411
+ imperatives Discord is that for the,3283.68,4.56
1412
+ first time in since forever they feel,3285.72,5.099
1413
+ empowered to make a difference in the,3288.24,4.26
1414
+ outcome that we're heading towards and,3290.819,3.421
1415
+ if you're optimistic like me we also,3292.5,6.0
1416
+ need that so Avengers assembled thank,3294.24,6.44
1417
+ you,3298.5,2.18
Energy HyperAbundance Solar Fusion Geopolitics AI_transcript.csv ADDED
@@ -0,0 +1,1394 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.359,5.041
3
+ a brand new video today's video is about,2.94,4.439
4
+ energy hyperabundance,5.4,4.98
5
+ or nuclear fusion Renewables and how,7.379,5.34
6
+ these will intersect with AI and quite a,10.38,4.139
7
+ few other things,12.719,3.541
8
+ before we jump into the video I just,14.519,3.781
9
+ want to plug my patreon real quick if,16.26,3.18
10
+ you want to support the work that I do,18.3,3.42
11
+ please jump over I have a private,19.44,4.74
12
+ Discord server for all of my patreon,21.72,4.26
13
+ supporters and I also have a few higher,24.18,4.679
14
+ tiers that allow for group interactions,25.98,4.92
15
+ group chats and at the highest year,28.859,5.101
16
+ one-on-one interactions if you'd like to,30.9,4.86
17
+ consult on any of the topics that I talk,33.96,2.82
18
+ about,35.76,3.74
19
+ okay jumping right back into the video,36.78,4.98
20
+ uh first we got to talk about the,39.5,4.42
21
+ history of energy and we're not going to,41.76,4.26
22
+ talk about the entire history of energy,43.92,5.459
23
+ but just the recent uh history of energy,46.02,7.32
24
+ so the energy consumption per capita,49.379,7.5
25
+ over the last two-ish centuries went,53.34,6.78
26
+ from about 90 million btu per year so,56.879,6.061
27
+ BTU's British thermal unit which is a,60.12,6.48
28
+ measure of thermal output which thermal,62.94,5.7
29
+ energy is kind of the ground unit or the,66.6,4.32
30
+ base unit of energy of course there's,68.64,3.96
31
+ many kinds of energy but I don't need to,70.92,4.019
32
+ unpack it for a physics lesson but just,72.6,3.66
33
+ wanted to point out that is how we,74.939,3.661
34
+ typically measure energy so around 90,76.26,6.66
35
+ BTU and then it uh all pretty much,78.6,8.82
36
+ quadrupled to around 350 BTU peaking in,82.92,7.8
37
+ the early or mid 70s and then kind of,87.42,5.839
38
+ plateauing and then slowly,90.72,5.28
39
+ pulling back a little bit,93.259,5.441
40
+ so one thing that we need to understand,96.0,6.06
41
+ about energy consumption is this thing,98.7,5.459
42
+ called javon's paradox,102.06,5.28
43
+ and basically javon's Paradox is what we,104.159,5.401
44
+ experienced at the beginning of the,107.34,4.8
45
+ industrialization of energy which is,109.56,5.16
46
+ that when you make something more,112.14,6.119
47
+ abundant uh whether it's a good or a,114.72,5.399
48
+ service if you make the supply more,118.259,4.081
49
+ abundant sometimes the demand actually,120.119,3.661
50
+ goes up,122.34,3.54
51
+ um more than you would think because,123.78,4.44
52
+ usually supply and demand means that,125.88,4.5
53
+ once Supply goes up demand actually goes,128.22,4.739
54
+ down or the demand is satisfied so,130.38,4.98
55
+ there's a couple reasons for this one,132.959,5.101
56
+ reason is that in some cases there's,135.36,7.019
57
+ unmet Demand right so if say for,138.06,6.42
58
+ instance you know you're going without,142.379,4.341
59
+ something and then suddenly electricity,144.48,4.619
60
+ is twice as cheap it's like oh well now,146.72,5.56
61
+ I can afford to run my air conditioner,149.099,5.64
62
+ all the time now I can afford to cook,152.28,4.86
63
+ with an electric oven so then you add,154.739,4.14
64
+ more electrical appliances so your,157.14,4.5
65
+ demand goes up as Supply goes up now,158.879,5.101
66
+ that being said another way of looking,161.64,4.98
67
+ at this is unmet demand or latent demand,163.98,5.7
68
+ so once the latent demand is met that,166.62,4.259
69
+ means that you're getting all of your,169.68,4.32
70
+ energy needs met then demand should stop,170.879,5.58
71
+ Rising now that being said that doesn't,174.0,4.5
72
+ exclude the possibility,176.459,5.461
73
+ of discovering more energy needs in the,178.5,6.48
74
+ future so say for instance once AI takes,181.92,5.7
75
+ off maybe our per capita Energy starts,184.98,5.399
76
+ to go up again because AI runs on very,187.62,4.619
77
+ expensive computers that consume a lot,190.379,4.741
78
+ of power and so maybe maybe the unmet,192.239,6.08
79
+ need for intellectual or cognitive labor,195.12,6.06
80
+ through AI Automation and robotic,198.319,4.901
81
+ automation that could be an unmet demand,201.18,5.46
82
+ that as electricity gets cheaper that,203.22,5.159
83
+ reduces the marginal cost of running,206.64,3.9
84
+ more and more AI so we might actually,208.379,4.86
85
+ see energy consumption per capita go up,210.54,4.8
86
+ again I don't know one way or another I,213.239,4.321
87
+ just wanted to point out that even,215.34,4.74
88
+ though energy consumption per capita has,217.56,4.8
89
+ been stable ish for the last 50 years,220.08,3.659
90
+ that doesn't mean that it's going to be,222.36,3.599
91
+ true forever but I'm making the,223.739,5.041
92
+ assumption that the that the uh the,225.959,4.5
93
+ compounding returns of increased,228.78,3.84
94
+ efficiency and reduced demand will,230.459,5.161
95
+ offset any further uh growth but I could,232.62,4.02
96
+ be wrong,235.62,3.839
97
+ now today our composition the,236.64,4.8
98
+ composition of our energy portfolio is,239.459,4.081
99
+ highly varied we've got nuclear we've,241.44,5.28
100
+ got oil coal natural gas solar tidal,243.54,5.059
101
+ wind Hydro,246.72,5.519
102
+ hydroelectric and biofuel so biofuel,248.599,7.781
103
+ is burning things like wood ethanol,252.239,7.021
104
+ um and and other uh organic waste,256.38,4.5
105
+ products or organic products is not,259.26,3.3
106
+ necessarily a waste product,260.88,5.58
107
+ uh the modern history of oil began in,262.56,6.359
108
+ 1858 when the first oil well was drilled,266.46,4.679
109
+ and it took about two decades for the,268.919,4.941
110
+ Industrial Revolution to learn how to,271.139,4.861
111
+ acclimate to this new fuel source,273.86,3.94
112
+ because just because you have a new fuel,276.0,3.12
113
+ source doesn't mean that you've got the,277.8,3.42
114
+ infrastructure to use it it also doesn't,279.12,3.9
115
+ mean that you have the tools or engines,281.22,3.9
116
+ to consume that new fuel source so,283.02,4.14
117
+ that's why you see here energy,285.12,4.98
118
+ consumption had a little tiny bump when,287.16,5.16
119
+ oil started being drilled but then it,290.1,5.099
120
+ took another you know 20 30 years before,292.32,4.86
121
+ you really saw the ramp up and that was,295.199,4.081
122
+ because people were learning how to use,297.18,4.86
123
+ this new fuel source now I'm not going,299.28,4.199
124
+ to say that it's going to take equally,302.04,4.32
125
+ as long or longer for us to learn to use,303.479,5.701
126
+ new fuel sources but we were,306.36,4.619
127
+ contemplating the same problem with for,309.18,4.26
128
+ instance the hydrogen economy,310.979,4.981
129
+ so for those of us who are old enough to,313.44,5.94
130
+ remember up until about five or six,315.96,5.22
131
+ years ago there was a lot of talk around,319.38,4.5
132
+ the hydrogen economy the idea was that,321.18,4.739
133
+ hydrogen had such a higher energy,323.88,6.96
134
+ density per per unit of mass than fossil,325.919,7.081
135
+ fuels that it would be a really ideal,330.84,5.76
136
+ fuel source to replace petroleum now,333.0,5.6
137
+ there's a lot of problems with hydrogen,336.6,4.319
138
+ namely the infrastructure it's a,338.6,3.879
139
+ compressed gas which is very very,340.919,4.56
140
+ dangerous very hazardous so we would,342.479,5.0
141
+ need to increase our safety standards,345.479,5.581
142
+ moving it transporting it refilling all,347.479,5.261
143
+ kinds of things become much much more,351.06,4.56
144
+ difficult with hydrogen and so in that,352.74,4.799
145
+ case it's not a matter of burning,355.62,4.62
146
+ hydrogen or fuel cells or whatever it is,357.539,4.981
147
+ the infrastructure of delivering,360.24,4.38
148
+ hydrogen that was the problem and,362.52,4.38
149
+ ultimately we collectively decided this,364.62,3.9
150
+ is actually not a good replacement for,366.9,2.9
151
+ fossil fuels,368.52,3.899
152
+ not the least of which reason is because,369.8,4.78
153
+ at the time the most efficient way of,372.419,4.261
154
+ producing hydrogen is with fossil fuels,374.58,4.08
155
+ so it's like okay this is actually not a,376.68,3.66
156
+ not a solution so I just wanted to point,378.66,4.5
157
+ that out as a modern example of testing,380.34,5.46
158
+ new fuel sources even though on paper,383.16,5.28
159
+ hydrogen is a very very potent fuel,385.8,4.98
160
+ source because it's so difficult to use,388.44,4.62
161
+ it's pretty much relegated to Specialty,390.78,5.82
162
+ use cases such as in the space program,393.06,6.18
163
+ okay so that's the history of energy,396.6,4.8
164
+ consumption now we have to look at,399.24,4.26
165
+ energy consumption on a global scale or,401.4,4.2
166
+ the geopolitics of energy,403.5,4.38
167
+ so this happens before my time I know,405.6,4.14
168
+ I'm getting older but the 70s is still,407.88,4.86
169
+ before my time there was uh what was,409.74,4.98
170
+ called the oil shocks that happened,412.74,4.2
171
+ there was two major crises in the 70s,414.72,6.06
172
+ one in 1973 and the other in 1978 or 79,416.94,5.759
173
+ I don't remember exactly like I said I,420.78,4.8
174
+ wasn't there anyways the the fact of the,422.699,5.881
175
+ matter is is that a series of Wars local,425.58,6.179
176
+ conflicts embargoes and other forms of,428.58,7.08
177
+ global instability caused a widespread,431.759,5.761
178
+ fuel shortages not just in America this,435.66,3.36
179
+ is global,437.52,3.119
180
+ um so these fuel shortages and high,439.02,4.26
181
+ prices led to rationing and a lot of,440.639,5.821
182
+ panic so a lot of a lot of people at our,443.28,5.22
183
+ parents age and our grandparents age,446.46,4.5
184
+ they remember this which is one of the,448.5,3.84
185
+ reasons that they're afraid of things,450.96,3.72
186
+ like hyperinflation and and that that,452.34,3.919
187
+ sort of stuff is because they remember,454.68,4.139
188
+ actually I remember my dad talking about,456.259,5.201
189
+ having to sit in the gas lines right,458.819,5.401
190
+ where there would be lines of cars more,461.46,5.16
191
+ than a mile long waiting to get gas at,464.22,3.66
192
+ the gas station because everyone was,466.62,4.019
193
+ afraid that they would run out of gas,467.88,6.18
194
+ and so this uh really woke the country,470.639,6.541
195
+ up to how vulnerable we were and not,474.06,5.039
196
+ just not just America all of the whole,477.18,4.88
197
+ world how vulnerable we were to,479.099,6.0
198
+ volatility and the supply of fuel,482.06,6.28
199
+ fossil fuel dependence was identified as,485.099,5.641
200
+ a major driver of instability and,488.34,4.62
201
+ conflict and so this led to the Mantra,490.74,5.04
202
+ energy security is National Security and,492.96,5.34
203
+ this is still the explicit policy of,495.78,6.419
204
+ many nations around the world so one one,498.3,5.7
205
+ thing that happened in America is that,502.199,4.28
206
+ we prioritize domestic oil production,504.0,4.979
207
+ but then we also worked on securing,506.479,4.601
208
+ alliances and other things and a lot of,508.979,5.341
209
+ it was uh very underhanded so you might,511.08,5.28
210
+ have heard the blood for oil kind of,514.32,3.12
211
+ policies,516.36,5.039
212
+ and of course no one in in Congress,517.44,5.88
213
+ would actually call it that because that,521.399,3.601
214
+ sounds very imperialistic and aggressive,523.32,5.16
215
+ this is what protesters and,525.0,5.76
216
+ um and critics of the government called,528.48,4.68
217
+ it but so there's a few things that,530.76,5.88
218
+ happen so the Petro dollar is a,533.16,6.6
219
+ reference to a policy where America,536.64,5.759
220
+ pretty much strong armed the oil,539.76,5.639
221
+ producing Nations to price their oil in,542.399,5.94
222
+ the US dollar which,545.399,5.281
223
+ the on the on the positive side the,548.339,4.5
224
+ benevolent side the stability of the US,550.68,5.339
225
+ dollar should have helped the goal was,552.839,5.581
226
+ hopefully to stabilize the price of oil,556.019,4.681
227
+ but it also ensured that the US dollar,558.42,5.58
228
+ was the global Reserve currency and you,560.7,5.1
229
+ know just taking a big step back if you,564.0,4.14
230
+ have one nation that is responsible for,565.8,4.38
231
+ the global Reserve currency that's kind,568.14,3.96
232
+ of unfair on a global stage which that,570.18,3.599
233
+ has been an unpopular move for the last,572.1,2.82
234
+ 50 years,573.779,3.661
235
+ across the world you see ongoing,574.92,5.52
236
+ reverberations of that for instance in,577.44,5.0
237
+ the tensions between the US and China,580.44,4.92
238
+ where currency manipulation like you,582.44,4.42
239
+ know the US will accuse China of,585.36,3.0
240
+ currency manipulation and China's like,586.86,2.94
241
+ what are you talking about you've been,588.36,3.24
242
+ manipulating Global Currency for 50,589.8,4.26
243
+ years right like pot calls kettle black,591.6,4.919
244
+ don't be a hypocrite,594.06,4.68
245
+ um it also resulted in a lot of proxy,596.519,3.961
246
+ wars between the U.S and the Soviet,598.74,4.86
247
+ Union uh particularly in the Middle East,600.48,4.799
248
+ um when it was a matter of kind of,603.6,4.56
249
+ fighting over influencer control of oil,605.279,6.421
250
+ producing Nations Iraq and Iran are kind,608.16,6.359
251
+ of two of the the primary examples and,611.7,5.52
252
+ Iran was actually Central to some of,614.519,5.701
253
+ those oil shocks in the 70s uh this was,617.22,5.28
254
+ a very dark period in global history and,620.22,4.799
255
+ particularly American history and it was,622.5,4.2
256
+ not soon forgotten particularly by our,625.019,3.841
257
+ parents and grandparents nobody wants to,626.7,4.319
258
+ repeat any of that,628.86,3.96
259
+ now one other thing that you need to,631.019,4.081
260
+ know since I've you know kind of,632.82,5.1
261
+ demonstrated the centrality of uh of,635.1,5.1
262
+ petroleum to our to our energy,637.92,4.979
263
+ consumption and energy use you need to,640.2,4.98
264
+ understand the concept of peak oil now,642.899,4.44
265
+ this is going to be brain dead simple to,645.18,4.56
266
+ some people but it's going to be a New,647.339,5.161
267
+ Concept to others basically any resource,649.74,5.3
268
+ any natural resource is finite,652.5,6.06
269
+ so however what we didn't know was how,655.04,6.28
270
+ much there was at the beginning the idea,658.56,4.2
271
+ was you just poke a hole in the ground,661.32,3.24
272
+ and lots of oil comes out and it seemed,662.76,4.5
273
+ like an unlimited resource right like,664.56,4.8
274
+ you're never going to run out of lava in,667.26,4.38
275
+ the planet right there so we thought at,669.36,4.58
276
+ the beginning that oil could have been,671.64,5.16
277
+ something that was effectively unlimited,673.94,4.839
278
+ there might have been trillions and,676.8,3.719
279
+ trillions and quadrillions of years,678.779,4.5
280
+ worth of oil in the ground somewhere,680.519,4.741
281
+ however,683.279,4.74
282
+ um in the I think it was in the the 30s,685.26,4.56
283
+ or 50s I can't remember,688.019,4.861
284
+ um but the idea of peak oil was proposed,689.82,5.4
285
+ that they said they they monitored the,692.88,4.5
286
+ output of oil wells and they said,695.22,4.5
287
+ actually this is not going to be,697.38,5.639
288
+ measured in Millennia or even centuries,699.72,5.7
289
+ each oil well each oil field is only,703.019,4.26
290
+ going to be measured in decades in terms,705.42,4.38
291
+ of output and so what we saw was that,707.279,4.8
292
+ actually proved out to be pretty pretty,709.8,6.5
293
+ accurate and so uh the production of oil,712.079,7.561
294
+ in particular regions we're finding,716.3,5.62
295
+ actually does become exhausted usually,719.64,5.16
296
+ within within the century and in this,721.92,5.099
297
+ case you can see that the USA our,724.8,3.719
298
+ production our domestic production,727.019,5.221
299
+ peaked just after uh the 1970s or in the,728.519,5.88
300
+ middle of the 1970s and has been on a,732.24,4.56
301
+ gentle downward slope ever since ditto,734.399,4.801
302
+ for Europe and Russia,736.8,6.06
303
+ um and uh and Central America same,739.2,5.879
304
+ Middle East is still kind of stable-ish,742.86,4.02
305
+ but they're kind of you know at their,745.079,3.421
306
+ Crescendo,746.88,5.699
307
+ um and then we do have a few new sources,748.5,5.88
308
+ right so there's oil sands there's,752.579,3.181
309
+ fracking,754.38,3.06
310
+ um and then there's the deep water so,755.76,3.48
311
+ like drilling oil,757.44,4.32
312
+ um over uh places in the ocean for,759.24,4.44
313
+ instance now that being said we are,761.76,5.94
314
+ finding some new sources but they are,763.68,6.12
315
+ much much much harder to get to they are,767.7,3.78
316
+ much more expensive to get to and,769.8,3.839
317
+ they're much riskier to get to so,771.48,3.96
318
+ they're just not as sustainable and it's,773.639,4.14
319
+ not as abundant as we thought that it,775.44,3.78
320
+ would be,777.779,4.081
321
+ now the other thing to point and to,779.22,4.919
322
+ point out though is that our food,781.86,4.919
323
+ production and our water production and,784.139,4.2
324
+ a whole lot of other stuff even just,786.779,3.36
325
+ transporting food so that you can get to,788.339,3.961
326
+ it energy production,790.139,5.281
327
+ our entire civilization presently still,792.3,6.36
328
+ depends on oil so if you hold these two,795.42,4.919
329
+ facts on one hand you are completely,798.66,4.619
330
+ dependent upon oil or fossil fuels for,800.339,5.101
331
+ your way of life and it is going to run,803.279,4.321
332
+ out in the next few decades that is,805.44,3.78
333
+ cause for concern,807.6,4.44
334
+ on the uh at the same time our use of,809.22,5.34
335
+ oil is harming the atmosphere harming,812.04,4.14
336
+ the environment which will ultimately,814.56,4.32
337
+ also harm us it's a lose-lose death,816.18,3.779
338
+ spiral,818.88,3.3
339
+ so this leads to the energy crisis,819.959,4.62
340
+ that's that Catch-22 we need fossil,822.18,4.86
341
+ fuels to to sustain our way of life,824.579,4.26
342
+ it is also presently destroying the,827.04,3.419
343
+ Earth and we will run out so it's,828.839,3.361
344
+ actually three things,830.459,3.661
345
+ um now that being said this is the,832.2,3.9
346
+ underpinning of the energy crisis and,834.12,3.36
347
+ there are plenty of alternative,836.1,4.679
348
+ Solutions however all of those Solutions,837.48,4.919
349
+ as I pointed out with the beginning of,840.779,3.781
350
+ the Industrial Revolution it takes time,842.399,5.581
351
+ to adapt to those alternative Solutions,844.56,6.0
352
+ and in many cases some of the science,847.98,6.24
353
+ isn't even proved out yet now the first,850.56,5.88
354
+ and most popular is obviously solar,854.22,4.559
355
+ solar requires special minerals and,856.44,4.019
356
+ Material Science which means that it is,858.779,4.381
357
+ not quite as easy to use,860.459,5.101
358
+ um and even though solar power solar,863.16,5.04
359
+ energy from the Sun is abundant,865.56,5.519
360
+ um the production of solar cells is uh,868.2,4.62
361
+ is still a constraint now it's getting,871.079,3.901
362
+ better but solar has some other problems,872.82,4.259
363
+ namely that it doesn't work at night and,874.98,3.78
364
+ so you still need batteries or storage,877.079,3.721
365
+ of some kind which is honestly the,878.76,4.86
366
+ larger constraint at this point nuclear,880.8,5.399
367
+ fission uh you know nuclear reactors are,883.62,4.86
368
+ actually kind of unpopular for a lot of,886.199,3.301
369
+ reasons,888.48,3.24
370
+ they're geopolitically problematic,889.5,6.24
371
+ because nuclear reactors used for energy,891.72,6.299
372
+ production can also be easily converted,895.74,3.48
373
+ to,898.019,3.841
374
+ um as what's called a breeder reactor so,899.22,4.739
375
+ a breeder reactor is used to breed other,901.86,4.74
376
+ fissile materials that can be weaponized,903.959,5.94
377
+ and so that's why there are um there are,906.6,5.4
378
+ embargoes and other uh restrictions,909.899,3.06
379
+ against,912.0,3.0
380
+ um some Nations because it's like okay,912.959,4.32
381
+ well we understand that you want nuclear,915.0,3.6
382
+ reactors,917.279,3.42
383
+ um ostensibly for civilian uses but,918.6,3.539
384
+ we're afraid that you're going to use it,920.699,3.841
385
+ for weapons purposes and of course again,922.139,4.081
386
+ that's not very fair it's rules for me,924.54,3.419
387
+ but our rules for thee but not for me,926.22,4.02
388
+ because a lot of Nations like America,927.959,4.981
389
+ and across Europe have nuclear reactors,930.24,4.5
390
+ and we use them and we're like okay well,932.94,3.66
391
+ we can have this but you can't it's,934.74,3.839
392
+ super not fair,936.6,4.08
393
+ um so that means we need a solution that,938.579,4.041
394
+ is not geopolitically problematic,940.68,5.459
395
+ another example is Thorium reactors so,942.62,6.219
396
+ thorium reactors is an alternative kind,946.139,5.88
397
+ of nuclear reactor that could have a lot,948.839,4.981
398
+ of potential they haven't taken off yet,952.019,3.12
399
+ and I'm not actually sure why I didn't,953.82,2.759
400
+ look too much into it but I just wanted,955.139,3.541
401
+ to make sure that it made it on the list,956.579,5.341
402
+ wind is a really good resource for some,958.68,6.06
403
+ reasons namely that it is available,961.92,5.159
404
+ pretty much anywhere and you don't need,964.74,5.7
405
+ any super specialized uh materials to,967.079,6.781
406
+ get there just some fiberglass for the,970.44,4.44
407
+ blades,973.86,3.06
408
+ and then a typical generator and you're,974.88,4.5
409
+ good to go unfortunately though it is,976.92,4.02
410
+ unreliable because it depends on the,979.38,3.42
411
+ weather it can also have some,980.94,3.66
412
+ environmental impact of course you might,982.8,4.02
413
+ have seen videos of you know bald eagles,984.6,4.38
414
+ and other Wildlife like getting creamed,986.82,4.259
415
+ by those blades because they move very,988.98,3.96
416
+ fast and they are very like they're,991.079,5.101
417
+ they're huge so it can be hazardous to,992.94,6.42
418
+ Wildlife which means that it's not ideal,996.18,4.56
419
+ um excuse me,999.36,4.08
420
+ for many cases hydroelectric as we saw,1000.74,4.14
421
+ on the chart,1003.44,3.68
422
+ um or as I will show you on the chart,1004.88,4.56
423
+ hydroelectric is rising but again,1007.12,3.88
424
+ hydroelectric is geologically,1009.44,3.839
425
+ constrained you need a river that can be,1011.0,5.3
426
+ damned in order to use hydroelectric,1013.279,5.341
427
+ biomass I mentioned that briefly earlier,1016.3,4.18
428
+ which has to do with like things like,1018.62,3.18
429
+ corn,1020.48,3.9
430
+ um hydrogen already talked about that at,1021.8,4.98
431
+ length hydrogen is expensive to produce,1024.38,4.439
432
+ difficult to transport it represents a,1026.78,4.62
433
+ safety hazard even though it is far more,1028.819,6.301
434
+ energy dense than uh than petroleum and,1031.4,5.34
435
+ then there's tidal and wave generators,1035.12,3.839
436
+ again using the tides of the earth,1036.74,4.679
437
+ there's you know plenty of energy in the,1038.959,4.081
438
+ ocean that's available to us but you're,1041.419,3.9
439
+ geologically constrained coastlines and,1043.04,3.96
440
+ then finally geothermal,1045.319,4.74
441
+ is also very useful but that is also,1047.0,5.1
442
+ geologically constrained because if,1050.059,4.021
443
+ you're not near a hot spot and so a hot,1052.1,3.84
444
+ spot is where there's more lava or magma,1054.08,4.5
445
+ closer to the surface and the and the,1055.94,5.4
446
+ the ground temperature goes up much uh,1058.58,4.8
447
+ much faster as you drill down you might,1061.34,3.9
448
+ have to drill down several miles to get,1063.38,3.96
449
+ to a hot spot which means that it's very,1065.24,4.559
450
+ very expensive to implement geothermal,1067.34,4.26
451
+ there are some places in the world that,1069.799,3.901
452
+ geothermal is very practical and it's,1071.6,3.66
453
+ actually the most efficient source of,1073.7,2.359
454
+ energy,1075.26,3.48
455
+ that being said the Earth does have,1076.059,5.381
456
+ plenty of energy inside of it it's got,1078.74,4.799
457
+ um 11 orders of magnitude more energy,1081.44,4.32
458
+ inside of it than there is hitting us,1083.539,3.901
459
+ from the sun which we'll talk more about,1085.76,3.84
460
+ that uh later so the Earth,1087.44,4.26
461
+ hypothetically has more and plenty of,1089.6,4.38
462
+ energy for all of us just based on the,1091.7,4.5
463
+ natural nuclear reactions happening,1093.98,4.86
464
+ inside of it so we basically live on a,1096.2,4.56
465
+ giant fission reactor,1098.84,3.839
466
+ um bet you didn't know that nuclear,1100.76,4.38
467
+ fusion which I put at the end is one of,1102.679,5.041
468
+ the most Optimal Solutions because it is,1105.14,6.36
469
+ much much safer than fission uh the you,1107.72,6.12
470
+ cut off the fuel supply and the reaction,1111.5,5.16
471
+ stops instantly you can't do that with,1113.84,5.16
472
+ fission because fission requires fuel,1116.66,4.68
473
+ rods which are very heavy very bulky and,1119.0,3.96
474
+ if they get too hot you end up with a,1121.34,3.48
475
+ run Runaway reaction and they melt down,1122.96,4.14
476
+ that's what happened at Chernobyl that's,1124.82,4.08
477
+ what happened at Three Mile Island here,1127.1,3.42
478
+ in America and that's also what happened,1128.9,4.2
479
+ in Fukushima in Japan so at this point,1130.52,5.34
480
+ we've had three highly public reactor,1133.1,4.5
481
+ meltdowns which is one of the reasons,1135.86,3.6
482
+ that nobody wants a nuclear reactor in,1137.6,6.3
483
+ their backyard NIMBY not in my backyard,1139.46,7.44
484
+ um now that being said while nuclear,1143.9,5.1
485
+ fusion is hypothetically much safer and,1146.9,4.74
486
+ much cleaner it is harder to produce we,1149.0,4.44
487
+ haven't figured we have not yet figured,1151.64,4.32
488
+ out how to produce nuclear fusion,1153.44,3.96
489
+ reliably enough,1155.96,4.44
490
+ so if we can if we can get over that,1157.4,5.279
491
+ last hurdle it should be the most,1160.4,4.68
492
+ abundant source of energy for us and it,1162.679,5.88
493
+ should also be safe and scalable but,1165.08,5.52
494
+ again we're not there yet so solar is,1168.559,4.081
495
+ kind of the next runner-up,1170.6,4.319
496
+ let's talk briefly about the history of,1172.64,5.88
497
+ fusion so 1952 the hydrogen bomb or the,1174.919,6.061
498
+ thermonuclear bomb proved that nuclear,1178.52,4.26
499
+ fusion was possible,1180.98,3.48
500
+ we already knew that nuclear fusion was,1182.78,4.56
501
+ possible from observing our star right,1184.46,6.599
502
+ but the sun is billions of times more,1187.34,7.28
503
+ energy than we could ever produce use,1191.059,6.841
504
+ and it's also obviously beyond the scope,1194.62,5.439
505
+ of our engineering so the best we can do,1197.9,3.779
506
+ is just capture some of that Fusion,1200.059,3.841
507
+ Energy with solar panels so in effect,1201.679,3.841
508
+ solar panels are a type of fusion,1203.9,3.48
509
+ reactor or a fusion power,1205.52,4.68
510
+ but the hydrogen bomb proved that we,1207.38,4.86
511
+ could create with our engineering,1210.2,5.46
512
+ capabilities a runaway uh um and maybe,1212.24,5.7
513
+ not runaway but an exponential growth of,1215.66,4.8
514
+ energy from hydrogen Fusion,1217.94,5.7
515
+ in 1958 The Silo one was the first,1220.46,5.7
516
+ controlled Fusion experiment pictured,1223.64,3.84
517
+ here,1226.16,2.879
518
+ now,1227.48,3.24
519
+ even though it was the first experiment,1229.039,3.26
520
+ it was still like,1230.72,4.62
521
+ didn't work right we kept finding more,1232.299,5.38
522
+ and more problems of scale of energy of,1235.34,5.1
523
+ control and so this led to the kind of,1237.679,4.441
524
+ tongue-in-cheek Mantra the fusion is,1240.44,3.72
525
+ just 20 years away but it's always 20,1242.12,4.38
526
+ years away kind of like how AGI has been,1244.16,5.16
527
+ for the last couple decades in the 80s,1246.5,5.22
528
+ and 90s we saw the first successful,1249.32,5.16
529
+ Fusion uh reactors where there was,1251.72,5.819
530
+ controlled fusion with large outputs of,1254.48,4.74
531
+ energy but,1257.539,3.901
532
+ the input was still greater than the,1259.22,5.339
533
+ output so basically it cost you know 100,1261.44,5.64
534
+ watts of energy per 50 watts of energy,1264.559,5.161
535
+ out so you're still at a net loss which,1267.08,4.86
536
+ means that the reaction is not efficient,1269.72,4.56
537
+ enough now that's that's still an open,1271.94,4.739
538
+ question can we get more energy out than,1274.28,5.12
539
+ we could put in if we can do that,1276.679,5.221
540
+ ideally we would end up with a lot more,1279.4,4.72
541
+ out than in it may or may not be,1281.9,4.92
542
+ possible but the the the math is there,1284.12,5.28
543
+ if we can figure out how to how to crack,1286.82,7.32
544
+ that code then Fusion will be uh uh,1289.4,6.899
545
+ sustainable viable source of energy,1294.14,5.82
546
+ today there are dozens if not hundreds,1296.299,5.721
547
+ of fusion startup companies out there,1299.96,4.8
548
+ and they are being backed by Venture,1302.02,3.94
549
+ Capital,1304.76,2.88
550
+ um with billions and billions of dollars,1305.96,3.9
551
+ so the investment is there the market,1307.64,4.2
552
+ believes that we are close to cracking,1309.86,3.96
553
+ nuclear fusion then you look at China,1311.84,3.66
554
+ they have What's called the their East,1313.82,3.96
555
+ reactor their um I can't remember the,1315.5,3.36
556
+ advanced,1317.78,3.36
557
+ um something or other I can't remember,1318.86,4.14
558
+ what the acronym stands for but China's,1321.14,4.38
559
+ East is a fusion reactor experiment and,1323.0,4.559
560
+ it has set many records now one thing I,1325.52,4.32
561
+ I want to caution is that China often,1327.559,4.921
562
+ exaggerates their achievements,1329.84,4.44
563
+ um so I always take it with a grain of,1332.48,4.38
564
+ salt when I see news about China's East,1334.28,5.34
565
+ reactor but that being said,1336.86,4.5
566
+ um they have claimed to have shattered,1339.62,3.72
567
+ many records in terms of I think it was,1341.36,3.66
568
+ something like 900 seconds of stable,1343.34,4.199
569
+ Fusion uh which if it's true is,1345.02,5.58
570
+ incredible on the on the other side of,1347.539,5.101
571
+ the world we have eater or iter which is,1350.6,3.3
572
+ the international thermonuclear,1352.64,3.659
573
+ experimental reactor being built in,1353.9,4.86
574
+ Europe and either means the way in Latin,1356.299,3.481
575
+ by the way,1358.76,3.919
576
+ so eater is a huge International project,1359.78,5.16
577
+ a very very large-scale science,1362.679,4.061
578
+ experiment and it's not meant to be the,1364.94,4.44
579
+ first production nuclear reactor it is,1366.74,4.38
580
+ actually meant to understand the science,1369.38,4.56
581
+ of nuclear fusion so that way we can,1371.12,4.62
582
+ then optimize future ones because the,1373.94,4.739
583
+ eater plant is really really huge and,1375.74,4.679
584
+ really expensive but it's important to,1378.679,3.181
585
+ remember that it is not meant to be a,1380.419,3.601
586
+ commercial Fusion reactor it is a,1381.86,3.42
587
+ science experiment so that we can,1384.02,4.44
588
+ understand Fusion better and and conduct,1385.28,6.68
589
+ experiments on how to better achieve,1388.46,6.24
590
+ ignition eater is expected to have first,1391.96,5.26
591
+ plasma in 2025 so we've got about a year,1394.7,6.0
592
+ and a half until that time,1397.22,7.079
593
+ now solar as I mentioned is is a is a,1400.7,5.7
594
+ second runner-up in terms of viability,1404.299,4.021
595
+ and solar is effectively a type of,1406.4,3.54
596
+ nuclear fusion because it's powered by,1408.32,4.32
597
+ the sun which is a fusion reactor it's,1409.94,4.44
598
+ just further away,1412.64,4.2
599
+ the history of solar energy use actually,1414.38,4.679
600
+ starts much much older than you probably,1416.84,4.92
601
+ think and it starts with what's called,1419.059,6.781
602
+ CSP or concentrated solar power so using,1421.76,5.88
603
+ mirrors and lenses you can actually,1425.84,4.02
604
+ concentrate solar energy to do things,1427.64,4.919
605
+ like boil water set things on fire and,1429.86,4.14
606
+ this technique is actually thousands of,1432.559,3.6
607
+ years old,1434.0,3.78
608
+ um and it has also recently been,1436.159,4.561
609
+ explored as a scalable alternative to,1437.78,6.48
610
+ photovoltaics so photovoltaics is the,1440.72,4.98
611
+ what we currently think of when you,1444.26,3.539
612
+ think of a solar panel right you see the,1445.7,4.26
613
+ rows of the of the blue shiny solar,1447.799,4.5
614
+ panels those are called photovoltaics or,1449.96,4.62
615
+ PVS so if you ever hear PV or,1452.299,3.841
616
+ photovoltaic they're just talking about,1454.58,4.44
617
+ solar cells the photovoltaic effect was,1456.14,5.039
618
+ discovered in the 19th century so back,1459.02,4.86
619
+ in the 1800s uh they're horribly,1461.179,4.921
620
+ horribly inefficient and it wasn't the,1463.88,4.44
621
+ photovoltaic effect was discovered but,1466.1,3.84
622
+ it was not really thought of as like,1468.32,3.38
623
+ this is a way of producing electricity,1469.94,5.04
624
+ for almost a century,1471.7,4.479
625
+ um at least not in terms of commercial,1474.98,2.819
626
+ scale,1476.179,4.38
627
+ one thing is that photovoltaics are very,1477.799,4.5
628
+ useful because they have no moving parts,1480.559,4.261
629
+ and when you have no moving Parts it,1482.299,4.321
630
+ won't mechanically wear out which means,1484.82,3.18
631
+ that they're they can be much more,1486.62,3.84
632
+ reliable unfortunately one downside of,1488.0,4.98
633
+ photovoltaics is that the the mineral,1490.46,5.64
634
+ like the the the materials lattice of,1492.98,5.939
635
+ the of the uh of the actual solar cell,1496.1,5.579
636
+ can break down over time so solar,1498.919,5.401
637
+ efficiency tends to drop over years,1501.679,4.321
638
+ but that is another that is an open,1504.32,3.719
639
+ challenge that is being improved all the,1506.0,4.08
640
+ time so the commercialization of,1508.039,4.861
641
+ photovoltaics uh has recently become,1510.08,4.979
642
+ much cheaper much more reliable and much,1512.9,4.5
643
+ more scalable and so what you see on,1515.059,4.921
644
+ this graph here is that for the last two,1517.4,6.06
645
+ decades photovoltaic production has been,1519.98,6.059
646
+ increasing exponentially in the year,1523.46,4.8
647
+ 2000 we produced hardly any,1526.039,4.441
648
+ photovoltaics but now we're producing,1528.26,4.799
649
+ almost a quarter of a million uh,1530.48,4.86
650
+ megawatts worth of photovoltaic cells,1533.059,4.321
651
+ per year and that's only accelerating,1535.34,4.56
652
+ this cuts off in 2021 it's actually much,1537.38,5.279
653
+ higher than that today in 2023.,1539.9,6.899
654
+ so one thing to keep in mind is that 73,1542.659,6.841
655
+ 000 terawatts of elect of solar energy,1546.799,5.76
656
+ hits the Earth continuously this is,1549.5,6.0
657
+ roughly 10 000 times our current rate of,1552.559,6.421
658
+ energy consumption so in that in that,1555.5,7.08
659
+ respect uh there is a hypothetically a,1558.98,5.64
660
+ hyperabundance of solar energy hitting,1562.58,4.56
661
+ the Earth at any given moment if only we,1564.62,3.96
662
+ can Harvest it and obviously we're not,1567.14,2.639
663
+ going to harvest all of it because we,1568.58,2.82
664
+ don't want to live under a dome of solar,1569.779,3.78
665
+ power but we could hypothetically put,1571.4,4.139
666
+ some of those solar panels in space and,1573.559,3.661
667
+ beam the energy down to us if we wanted,1575.539,4.321
668
+ to there are ways of of achieving that,1577.22,5.459
669
+ such as with lasers and microwaves but,1579.86,4.62
670
+ you don't want to accidentally set you,1582.679,3.12
671
+ know your neighbor's house on fire by,1584.48,3.84
672
+ beaming down too much energy,1585.799,5.521
673
+ so I've talked extensively about the con,1588.32,6.359
674
+ concept of energy hyperabundance or eha,1591.32,5.88
675
+ so let's define it in more rigorous,1594.679,4.261
676
+ terms,1597.2,3.42
677
+ um you can see that we've achieved,1598.94,4.2
678
+ energy hyperabundance or eha when our,1600.62,4.38
679
+ energy portfolio when our energy,1603.14,4.56
680
+ ecosystem meets all of these criteria,1605.0,5.82
681
+ one it's renewable meaning that we can,1607.7,4.8
682
+ use it effectively Forever Without,1610.82,3.78
683
+ depleting the the its source whether,1612.5,4.08
684
+ it's Earth Resources or something else,1614.6,4.5
685
+ obviously if we're using solar the sun,1616.58,3.839
686
+ will eventually burn out but we're,1619.1,2.88
687
+ looking at time scales of billions of,1620.419,4.38
688
+ years rather than decades number two,1621.98,5.52
689
+ it's sustainable meaning that we can use,1624.799,5.221
690
+ it continuously without something,1627.5,5.22
691
+ becoming unstable damaging harmful or,1630.02,6.12
692
+ otherwise taxing it's scalable which,1632.72,4.62
693
+ means that it needs to be free from,1636.14,3.5
694
+ scalability constraints such as limited,1637.34,4.8
695
+ limited minerals or other exotic,1639.64,5.32
696
+ materials or resources so if something,1642.14,4.38
697
+ is scalable that means that we can go,1644.96,4.44
698
+ from zero to many many terawatts of,1646.52,5.58
699
+ generation without any major constraints,1649.4,4.98
700
+ like I said earlier one of the biggest,1652.1,4.26
701
+ constraints for solar is storage,1654.38,3.96
702
+ actually so that is actually a major,1656.36,4.439
703
+ constraint number four it needs to be,1658.34,5.04
704
+ clean which means preferably it has zero,1660.799,6.24
705
+ emissions and zero toxic waste if it,1663.38,5.46
706
+ doesn't meet those two criteria then,1667.039,3.901
707
+ that means you need to manage the,1668.84,4.219
708
+ emissions and manage the toxic waste,1670.94,4.26
709
+ which that's one of the biggest problems,1673.059,3.701
710
+ with nuclear fission for instance is,1675.2,2.7
711
+ that,1676.76,3.48
712
+ um is it spent nuclear fuel lasts for,1677.9,4.2
713
+ literally billions of years and it's,1680.24,4.439
714
+ toxic the entire time so it's not,1682.1,5.22
715
+ necessarily ideal it needs to be,1684.679,4.74
716
+ abundant which means that it is,1687.32,4.739
717
+ effectively Limitless which again the,1689.419,4.86
718
+ sun is effectively Limitless as far as,1692.059,3.86
719
+ we're concerned because it will be,1694.279,5.101
720
+ producing a huge surplus of energy for,1695.919,5.981
721
+ billions of years number six it needs to,1699.38,4.86
722
+ be efficient which means that it needs,1701.9,4.019
723
+ to have minimal thermal or material,1704.24,4.799
724
+ waste so again it comes back to the,1705.919,5.041
725
+ outputs the the on the unused or,1709.039,4.321
726
+ undesirable outputs number seven it,1710.96,3.839
727
+ needs to be accessible,1713.36,3.36
728
+ which means that it means it needs to be,1714.799,4.681
729
+ globally available to everyone as we,1716.72,5.459
730
+ mentioned there are certain Geographic,1719.48,4.92
731
+ constraints such as with geothermal but,1722.179,4.74
732
+ there's also geopolitical constraints as,1724.4,5.159
733
+ with nuclear fission so number eight it,1726.919,5.581
734
+ needs to be affordable meaning that it,1729.559,4.441
735
+ can't be more expensive than our current,1732.5,2.82
736
+ Solutions it's actually got to be,1734.0,3.059
737
+ cheaper and ideally energy,1735.32,4.32
738
+ hyperabundance means that the marginal,1737.059,5.341
739
+ cost of power generation is near zero so,1739.64,5.159
740
+ imagine a future where the energy that,1742.4,5.639
741
+ you need is as free as air basically,1744.799,4.74
742
+ that is,1748.039,3.0
743
+ um that is the the high goal I don't,1749.539,2.701
744
+ know if we'll ever ever get there,1751.039,4.14
745
+ because nuclear reactors Fusion or,1752.24,4.62
746
+ otherwise are always going to be,1755.179,3.781
747
+ somewhat expensive to build which means,1756.86,3.96
748
+ there's going to be some cost associated,1758.96,4.199
749
+ with it but the idea is that we get it,1760.82,4.859
750
+ as efficient as possible so that the,1763.159,4.14
751
+ price approaches zero it'll never,1765.679,4.561
752
+ actually be zero number nine it needs to,1767.299,6.24
753
+ be stable so we need to avoid those,1770.24,5.419
754
+ availability shocks those price shocks,1773.539,4.681
755
+ and it needs to be stable globally as,1775.659,3.281
756
+ well,1778.22,2.699
757
+ and then finally 10 needs to be,1778.94,4.02
758
+ completely safe which means that it's,1780.919,4.26
759
+ not liable to blow up it's not going to,1782.96,3.959
760
+ hurt the environment it's not going to,1785.179,4.561
761
+ be dangerous to Wildlife that sort of,1786.919,5.461
762
+ thing and that um and even if it's not,1789.74,5.4
763
+ perfectly safe like intrinsically,1792.38,5.039
764
+ at least the risks need to be easy to,1795.14,4.38
765
+ mitigate so that it is easy to make safe,1797.419,5.161
766
+ if we can meet these 10 criteria we will,1799.52,5.82
767
+ have achieved energy hyperabundance and,1802.58,5.28
768
+ as I mentioned earlier solar infusion,1805.34,4.439
769
+ represent some of the best options to,1807.86,3.9
770
+ get there although there are still some,1809.779,3.78
771
+ constraints there namely with battery,1811.76,3.779
772
+ and storage technology and the fact that,1813.559,4.261
773
+ we don't have sustainable Fusion science,1815.539,3.661
774
+ yet,1817.82,3.839
775
+ now the benefits of achieving energy,1819.2,5.339
776
+ hyperabundance are numerous,1821.659,5.461
777
+ first and foremost reducing geopolitical,1824.539,5.88
778
+ tension many of the conflicts around the,1827.12,5.7
779
+ world in the 20th century and up to,1830.419,3.661
780
+ today,1832.82,5.06
781
+ are at least partially driven by or,1834.08,7.56
782
+ mediated by fossil fuels so for instance,1837.88,6.159
783
+ in the present war between Russia and,1841.64,4.2
784
+ Ukraine or rather Russia's invasion of,1844.039,5.101
785
+ Ukraine one of the things that was that,1845.84,5.699
786
+ Russia relies on is its natural gas,1849.14,4.68
787
+ exports which it gets billions and,1851.539,4.681
788
+ billions of dollars per day from,1853.82,4.26
789
+ exporting Natural Gas,1856.22,5.459
790
+ which is it can then use to um pay for,1858.08,4.88
791
+ its War,1861.679,4.98
792
+ on the other hand there is alliances and,1862.96,6.579
793
+ other tensions about oil supplies so for,1866.659,4.5
794
+ instance one of the things one of,1869.539,4.441
795
+ China's biggest vulnerabilities is its,1871.159,5.061
796
+ dependence on external sources of oil,1873.98,4.919
797
+ which again that is,1876.22,4.9
798
+ um that is something that is not good,1878.899,4.981
799
+ for China because it's something that,1881.12,6.419
800
+ they might be afraid of in terms of if,1883.88,5.88
801
+ geopolitical tensions rise,1887.539,4.38
802
+ the next thing is food security so this,1889.76,4.5
803
+ is also Universal your food production,1891.919,4.681
804
+ everything that you eat depends at least,1894.26,5.039
805
+ somewhat on fossil fuels and that,1896.6,5.22
806
+ includes even if you grow your own food,1899.299,5.281
807
+ on your own land things like fertilizer,1901.82,4.8
808
+ and other supplies are are totally,1904.58,5.16
809
+ dependent upon fossil fuels so in order,1906.62,6.059
810
+ to Inc to secure the global food supply,1909.74,6.0
811
+ we need to get off of fossil fuel this,1912.679,5.701
812
+ has nothing to do with China or Iran or,1915.74,5.4
813
+ Europe or Russia or America this is just,1918.38,5.1
814
+ for the sake of the human species we,1921.14,4.32
815
+ need to get off of fossil fuels so that,1923.48,5.04
816
+ we can continue to eat the same is true,1925.46,5.88
817
+ for water so whether you're transporting,1928.52,5.759
818
+ water or purifying water and making it,1931.34,4.5
819
+ potable,1934.279,4.02
820
+ um you know unless you have a rain,1935.84,3.42
821
+ barrel,1938.299,2.941
822
+ you are dependent on fossil fuel for,1939.26,3.06
823
+ your water,1941.24,3.96
824
+ and so energy hyperabundance could help,1942.32,4.76
825
+ us solve things like water scarcity,1945.2,3.68
826
+ permanently,1947.08,4.66
827
+ number four this is again more broadly,1948.88,5.5
828
+ is that energy hyperabundance would fuel,1951.74,5.159
829
+ a tremendous amount of economic growth,1954.38,5.46
830
+ for the foreseeable future much of the,1956.899,4.801
831
+ economic growth we've seen over the last,1959.84,5.339
832
+ two centuries was fueled entirely or,1961.7,6.54
833
+ primarily by fossil fuels,1965.179,5.401
834
+ so if you can imagine that we have 10,1968.24,4.319
835
+ 000 times more energy,1970.58,3.9
836
+ um you know in 10 years from solar,1972.559,4.261
837
+ infusion then the amount of economic,1974.48,5.22
838
+ growth that that could drive is in,1976.82,4.979
839
+ totally insane,1979.7,4.62
840
+ number five is climate change mitigation,1981.799,5.88
841
+ so if we have hyperabundant energy such,1984.32,5.52
842
+ as from a lot of solar and a lot of,1987.679,5.281
843
+ fusion then that allows us to power much,1989.84,5.219
844
+ more expensive Technologies such as,1992.96,4.68
845
+ atmospheric CO2 scrubbers that allow us,1995.059,5.641
846
+ to pull carbon from the atmosphere and,1997.64,4.74
847
+ therefore mitigate some of the worst,2000.7,3.719
848
+ effects of climate change and we'll talk,2002.38,3.36
849
+ a little bit more about how that could,2004.419,3.721
850
+ be done in in a one or two slides,2005.74,5.0
851
+ number six is environmental preservation,2008.14,5.759
852
+ so right now a lot of the resources that,2010.74,5.559
853
+ we consume have a cost on the,2013.899,4.981
854
+ environment however if we have energy,2016.299,4.921
855
+ hyperabundance that unlocks new,2018.88,4.2
856
+ capabilities of synthesizing the,2021.22,3.72
857
+ resources that we need whether it's,2023.08,4.079
858
+ through recycling or more energy,2024.94,5.219
859
+ expensive processes but that makes it,2027.159,5.161
860
+ that basically means that we can leave,2030.159,4.74
861
+ the environment alone in more cases and,2032.32,4.14
862
+ make our own Resources with this,2034.899,3.12
863
+ hyperbund and energy,2036.46,3.719
864
+ and then finally number seven I know,2038.019,3.9
865
+ you've been waiting for this is peaceful,2040.179,3.561
866
+ coexistence with artificial intelligence,2041.919,4.86
867
+ so energy use is something that humans,2043.74,5.32
868
+ and machines will have in common we will,2046.779,4.38
869
+ both depend on production and,2049.06,5.579
870
+ consumption of energy now because of the,2051.159,5.161
871
+ concept of instrumental convergence and,2054.639,2.881
872
+ artificial intelligence which is,2056.32,2.94
873
+ basically saying that artificial,2057.52,3.659
874
+ intelligence is still a machine so it's,2059.26,3.419
875
+ still going to have some machine-based,2061.179,3.901
876
+ needs such as need for energy compute,2062.679,3.901
877
+ and so on,2065.08,3.96
878
+ if we don't solve energy hyperabundance,2066.58,5.22
879
+ and AI you know artificial super,2069.04,5.04
880
+ intelligence wakes up into a world where,2071.8,4.559
881
+ its energy Supply is not guaranteed and,2074.08,5.099
882
+ stable it might say I should actually,2076.359,4.681
883
+ take that from humans,2079.179,4.68
884
+ um but if we if we achieve energy hyper,2081.04,6.0
885
+ abundance before that then the AI wakes,2083.859,4.8
886
+ up and says oh we actually don't have to,2087.04,3.299
887
+ worry about energy at least not for the,2088.659,3.72
888
+ foreseeable future so then the friction,2090.339,3.601
889
+ between artificial intelligence in,2092.379,3.901
890
+ humans becomes inconsequential or at,2093.94,4.32
891
+ least less consequential for the,2096.28,4.28
892
+ foreseeable future,2098.26,5.64
893
+ so one of the reasons that I feel so,2100.56,6.1
894
+ good about this is because again looking,2103.9,6.179
895
+ at the ramp up of uh our portfolio of,2106.66,5.699
896
+ renewable energy over the last,2110.079,4.321
897
+ um six decades or so,2112.359,5.341
898
+ um back in the 60s we had about 1 000,2114.4,6.78
899
+ terawatts of hydropower now we have 4,2117.7,5.7
900
+ 000 terawatts of hydropower in addition,2121.18,5.159
901
+ to 3 000 terawatts of other Renewables,2123.4,6.48
902
+ such as wind wind solar and others so we,2126.339,5.941
903
+ are quickly ramping up now that being,2129.88,4.739
904
+ said when you look at the total energy,2132.28,3.9
905
+ portfolio,2134.619,4.141
906
+ we are only producing uh somewhere,2136.18,4.14
907
+ between five and ten percent of our,2138.76,4.38
908
+ total energy needs with Renewables the,2140.32,5.4
909
+ rest is still nuclear natural natural,2143.14,5.76
910
+ gas oil coal and traditional biomass,2145.72,6.359
911
+ many of which are harmful uh or carbon,2148.9,5.34
912
+ positive not rather than carbon neutral,2152.079,4.861
913
+ or carbon negative and so you see here,2154.24,4.56
914
+ we're at seven thousand terawatt hours,2156.94,4.38
915
+ of Renewables just over actually closer,2158.8,5.46
916
+ to eight thousand but we need to get to,2161.32,7.74
917
+ 160 000 terawatt hours in order to um in,2164.26,6.66
918
+ order to meet just current demand and of,2169.06,3.42
919
+ course this demand is still going up,2170.92,4.919
920
+ over time because again we are finding,2172.48,7.02
921
+ new uses for energy and so as our supply,2175.839,6.481
922
+ goes up our consumption also goes up so,2179.5,5.28
923
+ we do have a long ways to go but the,2182.32,5.039
924
+ trends are moving in the right direction,2184.78,3.9
925
+ so let's talk a little bit more about,2187.359,2.701
926
+ nuclear fusion we talked about the,2188.68,2.88
927
+ history but let's talk about the actual,2190.06,4.5
928
+ numbers of it nuclear fusion is utterly,2191.56,5.88
929
+ incomparable or incomparable to other,2194.56,5.4
930
+ energy sources because of its energy,2197.44,5.28
931
+ density and so energy density as I,2199.96,4.86
932
+ mentioned is you know how much how much,2202.72,4.44
933
+ energy can you get out of something per,2204.82,5.7
934
+ kilogram so gasoline is about 13 000,2207.16,7.62
935
+ watts per kilogram right and gasoline is,2210.52,7.14
936
+ a is the most uh widely used fossil fuel,2214.78,5.04
937
+ use it in your cars you use it in your,2217.66,4.38
938
+ tractors use it everywhere,2219.82,7.14
939
+ uranium is 22 billion watts per kilogram,2222.04,7.44
940
+ hour so that is,2226.96,4.74
941
+ um that is like more than a million,2229.48,5.34
942
+ times more energy dense than gasoline so,2231.7,5.76
943
+ this is this is why nuclear fission was,2234.82,4.56
944
+ seen as the solution that everyone,2237.46,4.74
945
+ needed they said oh well with just you,2239.38,5.52
946
+ know a few thousand tons of uranium we,2242.2,4.86
947
+ can power the entire human race for you,2244.9,3.48
948
+ know several years,2247.06,4.08
949
+ uh that being said due to the problems,2248.38,4.699
950
+ that I outlined earlier,2251.14,4.08
951
+ uranium-based fission is problematic,2253.079,4.061
952
+ because the waste products are very,2255.22,4.68
953
+ toxic and difficult to manage uh and,2257.14,4.74
954
+ then finally there's the geopolitical uh,2259.9,4.74
955
+ concerns about weaponization nuclear,2261.88,6.26
956
+ fusion is 177,2264.64,5.12
957
+ billion,2268.14,4.24
958
+ watts per kilogram hour or Watt hours,2269.76,3.94
959
+ per kilogram,2272.38,4.62
960
+ so it is still several times more energy,2273.7,6.3
961
+ dense above uranium so it's even better,2277.0,5.88
962
+ than nuclear fission in terms of uh in,2280.0,4.74
963
+ terms of energy density but then of,2282.88,4.32
964
+ course I also outlined that it is much,2284.74,5.16
965
+ safer for many many reasons if we can,2287.2,4.32
966
+ figure it out and this is actually a,2289.9,3.66
967
+ fusion reaction Happening Here,2291.52,4.86
968
+ and then anti-matter is hypothetically,2293.56,6.0
969
+ the most energy dense substance possible,2296.38,5.52
970
+ because that is literally,2299.56,4.92
971
+ um if you mix matter and anti-matter it,2301.9,4.26
972
+ they nullify each other and become pure,2304.48,5.28
973
+ energy and so that is 25 trillion watts,2306.16,5.52
974
+ per kilogram,2309.76,3.54
975
+ um so that is again several orders of,2311.68,4.5
976
+ magnitude higher than Fusion so maybe,2313.3,4.74
977
+ we'll get there one day but if you ever,2316.18,4.86
978
+ wondered how uh the ships in Star Trek,2318.04,4.26
979
+ were so powerful and they could move,2321.04,2.52
980
+ across space it's because they were,2322.3,3.12
981
+ powered by anti-matter which is many,2323.56,4.08
982
+ many orders of magnitude more energy,2325.42,5.159
983
+ dense than any fuel we have today,2327.64,5.219
984
+ we might get there we might not there,2330.579,4.621
985
+ are many advantages to nuclear fusion,2332.859,4.921
986
+ for instance the fuel sources are,2335.2,3.8
987
+ abundant,2337.78,3.66
988
+ hydrogen and deuterium are easy enough,2339.0,4.72
989
+ to extract from seawater and then,2341.44,4.139
990
+ tritium which is another isotope of,2343.72,4.08
991
+ hydrogen I actually didn't realize this,2345.579,4.26
992
+ but it's actually relatively easy to,2347.8,5.7
993
+ synthesize by breaking lithium apart,2349.839,6.481
994
+ um the waste products are cleaner if you,2353.5,5.16
995
+ fuse hydrogen you get helium which you,2356.32,3.9
996
+ can actually use helium for plenty of,2358.66,2.88
997
+ other things but also helium is,2360.22,2.54
998
+ non-toxic,2361.54,4.38
999
+ much much lower risk of meltdown in fact,2362.76,5.44
1000
+ we have to put so much energy into the,2365.92,4.56
1001
+ fusion reaction in terms of achieving,2368.2,4.62
1002
+ ignition you just switch off the magnet,2370.48,3.78
1003
+ that that,2372.82,4.08
1004
+ um that wraps around this the reaction,2374.26,3.66
1005
+ stops,2376.9,3.36
1006
+ you cut off the fuel the reaction stops,2377.92,4.56
1007
+ there are so many ways to kill a nuclear,2380.26,4.68
1008
+ fusion reactor that like it's pretty,2382.48,4.68
1009
+ much impossible for it to blow up or,2384.94,3.36
1010
+ melt down I'm not going to say it's,2387.16,4.439
1011
+ totally impossible but in terms of,2388.3,7.26
1012
+ mitigating risks way way way easier and,2391.599,5.641
1013
+ even if it does blow up the fuel is,2395.56,5.279
1014
+ completely non-toxic so a fusion fusion,2397.24,6.06
1015
+ reactor explosion or meltdown yes it,2400.839,4.081
1016
+ would release a lot of heat but there's,2403.3,4.74
1017
+ not going to be any residual you know,2404.92,5.699
1018
+ nuclear fallout basically so because of,2408.04,5.52
1019
+ this nuclear fusion represents like the,2410.619,5.941
1020
+ Pinnacle dream of removing energy,2413.56,5.279
1021
+ bottlenecks now that being said you know,2416.56,3.96
1022
+ nuclear fusion is always 20 years away,2418.839,3.961
1023
+ we might go into another Fusion winter,2420.52,4.44
1024
+ just like how AI has gone into many AI,2422.8,5.76
1025
+ Winters which if we cannot get that,2424.96,7.2
1026
+ input is less than output for Fusion,2428.56,5.88
1027
+ it's still a no-go right it might be a,2432.16,3.66
1028
+ dud kind of like how the hydrogen,2434.44,3.0
1029
+ economy was a dud,2435.82,3.299
1030
+ I hope that's not what happens but,2437.44,3.36
1031
+ fortunately we've got other Renewables,2439.119,3.96
1032
+ ramping up right now including wind and,2440.8,3.779
1033
+ solar,2443.079,3.421
1034
+ now one thing that a lot of people are,2444.579,3.061
1035
+ concerned about because I've mentioned,2446.5,2.82
1036
+ Fusion in quite a few of my videos is,2447.64,3.959
1037
+ what happens with the Surplus Heat,2449.32,5.88
1038
+ now uh there's first and foremost,2451.599,5.52
1039
+ there's many many industrial uses for,2455.2,4.68
1040
+ the Surplus heat from nuclear fusion,2457.119,5.401
1041
+ which can then be used to offset other,2459.88,4.92
1042
+ production so you might end up with a,2462.52,4.86
1043
+ net neutral in terms of that that,2464.8,4.22
1044
+ Surplus heat so for instance,2467.38,5.219
1045
+ desalination of water you can use that,2469.02,6.7
1046
+ Surplus heat from from nuclear fusion to,2472.599,5.821
1047
+ just boil sea water and don't boil it,2475.72,4.2
1048
+ with the fish in it right you pipe it,2478.42,3.06
1049
+ from the ocean make sure there's nothing,2479.92,3.659
1050
+ alive in it but you boil the sea water,2481.48,3.84
1051
+ you end up with fresh water and then,2483.579,3.481
1052
+ salt and other minerals,2485.32,3.9
1053
+ that is a very very heat intensive,2487.06,5.22
1054
+ process which would be a really a good,2489.22,5.16
1055
+ use of waste heat from,2492.28,3.78
1056
+ um from nuclear fusion there's also,2494.38,3.3
1057
+ plenty of other industrial processes,2496.06,3.48
1058
+ which could use that waste heat such as,2497.68,5.58
1059
+ smelting iron or other metals another,2499.54,5.96
1060
+ thing is that by consolidating,2503.26,5.28
1061
+ that the use of that excess heat you,2505.5,4.9
1062
+ offset a lot of other industrial,2508.54,3.96
1063
+ processes which means that you're just,2510.4,3.959
1064
+ generating heat over here well instead,2512.5,3.24
1065
+ of generating it in two places you,2514.359,3.361
1066
+ generate it in one place and so then you,2515.74,4.859
1067
+ have a chain of industrial uses for that,2517.72,6.54
1068
+ additional heat now that being said,2520.599,7.381
1069
+ if say for instance we increase our,2524.26,7.2
1070
+ usage by another thousand X right if we,2527.98,4.859
1071
+ you know we use,2531.46,5.34
1072
+ um 7.3 terawatts of of energy right now,2532.839,7.081
1073
+ what if we go up to you know seven,2536.8,5.16
1074
+ quadrillion Watts,2539.92,4.919
1075
+ um then the then the concern is okay,2541.96,5.22
1076
+ well what happens with all that excess,2544.839,4.681
1077
+ heat won't that cook Us Alive you know,2547.18,4.08
1078
+ won't Earth become a hot house or a,2549.52,2.7
1079
+ greenhouse,2551.26,4.079
1080
+ one thing that you need to keep in mind,2552.22,5.76
1081
+ is there's several orders of magnitude,2555.339,4.861
1082
+ here even with all the energy that we,2557.98,5.119
1083
+ are consuming today this is less than,2560.2,5.7
1084
+ 0.01 percent of the total energy,2563.099,5.441
1085
+ delivered to us by the Sun,2565.9,5.459
1086
+ so yes if we go up a thousand X that is,2568.54,5.94
1087
+ going to be you know uh 10 right that,2571.359,5.461
1088
+ could probably cook us now that being,2574.48,5.7
1089
+ said thermal equilibrium is maintained,2576.82,5.4
1090
+ by,2580.18,4.919
1091
+ um primarily by either reflecting excess,2582.22,6.0
1092
+ heat from the Sun back into space or by,2585.099,5.401
1093
+ just radiating excess heat from the,2588.22,4.619
1094
+ Earth to space and as I mentioned,2590.5,4.56
1095
+ earlier the Earth is also heated from,2592.839,5.28
1096
+ within so the Earth contains 10 to the,2595.06,5.82
1097
+ 31 joules of energy and energy human,2598.119,4.98
1098
+ product or energy production by humans,2600.88,4.739
1099
+ is only 10 to the 20. so even if we go,2603.099,4.561
1100
+ up a thousand X if we go up to 10 to the,2605.619,3.781
1101
+ 23rd,2607.66,2.36
1102
+ um,2609.4,3.419
1103
+ then that's still going to be several,2610.02,5.02
1104
+ orders of magnitude less than the amount,2612.819,4.561
1105
+ of energy the Earth already contains and,2615.04,4.559
1106
+ successfully radiates out to space,2617.38,4.32
1107
+ so no matter pretty much no matter what,2619.599,4.02
1108
+ we do unless we try and boil the entire,2621.7,3.419
1109
+ oceans,2623.619,4.141
1110
+ um the human impact even from using,2625.119,5.0
1111
+ Fusion is going to be pretty trivial,2627.76,6.72
1112
+ and even if we do have excess heat that,2630.119,6.761
1113
+ um that we need to manage we can we can,2634.48,5.099
1114
+ radiate it directly to space,2636.88,6.42
1115
+ um and and we can also modify the uh the,2639.579,6.181
1116
+ atmosphere to reject even more excess,2643.3,4.62
1117
+ heat and so that leads to the idea of a,2645.76,3.42
1118
+ global thermostat which we'll talk about,2647.92,4.62
1119
+ in the next slide anyways so the short,2649.18,6.36
1120
+ version is even if we go up 10x or 100x,2652.54,5.46
1121
+ in terms of total current energy usage,2655.54,4.74
1122
+ that's still going to be not that big of,2658.0,3.359
1123
+ a deal,2660.28,3.78
1124
+ and there are ways to mitigate it so the,2661.359,6.181
1125
+ global thermostat idea is that if we,2664.06,6.84
1126
+ have a surplus of energy at our disposal,2667.54,5.64
1127
+ we can use that energy and other,2670.9,4.16
1128
+ engineering,2673.18,5.22
1129
+ tactics techniques to maintain optimal,2675.06,5.62
1130
+ atmospheric conditions and what I mean,2678.4,4.98
1131
+ by that is modeling modulating the,2680.68,4.98
1132
+ amount and kinds of greenhouse gases in,2683.38,4.02
1133
+ the atmosphere as well as dust in,2685.66,3.179
1134
+ particulates because those have a big,2687.4,5.1
1135
+ impact on absorption and reflection and,2688.839,6.0
1136
+ so basically we can modulate the,2692.5,4.859
1137
+ insulation properties properties of the,2694.839,4.321
1138
+ atmosphere as well as the amount of,2697.359,3.181
1139
+ thermal capture,2699.16,4.679
1140
+ so this allows us to train to to,2700.54,5.4
1141
+ um not train to change the atmosphere's,2703.839,5.041
1142
+ characteristics so that we use that,2705.94,6.12
1143
+ energy out versus energy in to maintain,2708.88,6.239
1144
+ an optimal balance of of thermal,2712.06,5.88
1145
+ exchange so the total system energy in,2715.119,6.301
1146
+ the atmosphere is responsible for all,2717.94,5.04
1147
+ the climate change that we're worried,2721.42,3.419
1148
+ about for instance hurricanes are,2722.98,3.48
1149
+ effectively powered by thermal energy,2724.839,4.861
1150
+ from the Sun rainfall evaporation all of,2726.46,5.28
1151
+ that is is rooted in thermal energy,2729.7,4.08
1152
+ which then of course Powers the,2731.74,3.18
1153
+ biosphere,2733.78,3.42
1154
+ and again the radiative energy from the,2734.92,4.56
1155
+ Sun is what helps plants grow which you,2737.2,4.919
1156
+ know provides food and oxygen and all,2739.48,4.2
1157
+ that stuff so there's a few other,2742.119,3.361
1158
+ conditions I mentioned dust and,2743.68,3.899
1159
+ particulates in the atmosphere are also,2745.48,5.339
1160
+ important vegetation on the surface such,2747.579,5.28
1161
+ as you know grasslands versus desert,2750.819,4.981
1162
+ versus ocean this has a big impact on,2752.859,5.281
1163
+ the Albedo which is the reflectivity of,2755.8,3.66
1164
+ the Earth's surface,2758.14,4.439
1165
+ and then also clouds cloud cover can,2759.46,5.399
1166
+ also change how much energy is absorbed,2762.579,3.961
1167
+ versus reflected,2764.859,5.881
1168
+ so nuclear fusion right now it is beyond,2766.54,7.26
1169
+ our engineering capability to modify,2770.74,5.7
1170
+ that in any kind of meaningful way with,2773.8,4.44
1171
+ the exception of continuing to burn,2776.44,3.48
1172
+ fossil fuels and adding more carbon,2778.24,3.839
1173
+ dioxide and other grain greenhouse gases,2779.92,4.5
1174
+ to the atmosphere but even then that's,2782.079,4.201
1175
+ just a byproduct we're not doing that on,2784.42,4.32
1176
+ purpose nuclear fusion however would,2786.28,5.7
1177
+ give us so much extra energy that we,2788.74,6.66
1178
+ could manage each one of those variables,2791.98,5.339
1179
+ we could evaporate more water if we,2795.4,3.9
1180
+ wanted to to you know increase the water,2797.319,4.141
1181
+ content of the atmosphere we could scrub,2799.3,4.019
1182
+ particulates and CO2 from the atmosphere,2801.46,4.44
1183
+ to modulate it that way with the,2803.319,5.401
1184
+ hyperabundance of energy produced by,2805.9,6.179
1185
+ Fusion climate change is 100 solvable,2808.72,6.359
1186
+ and in fact we could we could tame the,2812.079,6.061
1187
+ entire climate now that being said I can,2815.079,4.081
1188
+ hear a lot of climatologists,2818.14,3.06
1189
+ meteorologists saying oh my god do you,2819.16,3.959
1190
+ have any idea how many variables how,2821.2,3.6
1191
+ much science needs to be done so that we,2823.119,3.48
1192
+ can do that safely because we don't want,2824.8,4.559
1193
+ unintended consequences right we don't,2826.599,5.461
1194
+ want to make a change that results in no,2829.359,4.561
1195
+ rain falling for instance or we don't,2832.06,4.68
1196
+ want to make a change that results in,2833.92,4.62
1197
+ um you know 12 hurricanes happening,2836.74,4.32
1198
+ globally simultaneously because that's,2838.54,5.579
1199
+ within the realm of possibility,2841.06,5.6
1200
+ um as I mentioned earlier energy,2844.119,5.161
1201
+ hyperabundance will reduce uh,2846.66,5.199
1202
+ competition between nations but also,2849.28,4.5
1203
+ between humans and machines energy,2851.859,3.901
1204
+ hyperabundance is one of the most,2853.78,3.9
1205
+ important ingredients to creating,2855.76,4.62
1206
+ durable Global Peace,2857.68,4.38
1207
+ now one thing you might say is like oh,2860.38,3.54
1208
+ well but Dave if we have energy,2862.06,3.66
1209
+ hyperabundance then we're just going to,2863.92,3.54
1210
+ have more food more water,2865.72,3.24
1211
+ and the population is going to grow,2867.46,3.6
1212
+ again until the until you know the,2868.96,3.54
1213
+ carrying capacity of the planet goes up,2871.06,2.94
1214
+ and we meet that new carrying capacity,2872.5,3.3
1215
+ and then instead of 8 billion people,2874.0,3.06
1216
+ there's going to be 50 billion people,2875.8,3.059
1217
+ and words are going to be worse,2877.06,4.5
1218
+ could be yes I do however think that,2878.859,4.141
1219
+ other factors are going to slow,2881.56,4.38
1220
+ population growth so I don't know if,2883.0,4.14
1221
+ you've seen some of the interviews that,2885.94,2.82
1222
+ I've been on but we talked about it and,2887.14,3.9
1223
+ so in one of the things that that,2888.76,4.02
1224
+ curtails population growth is not,2891.04,3.18
1225
+ actually the carrying capacity of the,2892.78,3.9
1226
+ world but it actually has more to do,2894.22,4.98
1227
+ with social dynamics which is that as,2896.68,4.56
1228
+ education goes up fertility rates go,2899.2,5.879
1229
+ down that is a globally true Trend so,2901.24,7.14
1230
+ even in places where they hypothetically,2905.079,5.28
1231
+ have the room and money for more,2908.38,4.08
1232
+ children they still choose to have fewer,2910.359,3.121
1233
+ children,2912.46,4.379
1234
+ so as education goes up and a few other,2913.48,4.52
1235
+ metrics,2916.839,4.74
1236
+ fertility rate goes down so I suspect,2918.0,7.079
1237
+ that we will control our own population,2921.579,6.121
1238
+ rather than just mindlessly reproducing,2925.079,4.301
1239
+ like rabbits,2927.7,3.48
1240
+ I do as I mentioned at the beginning of,2929.38,3.78
1241
+ the video I do suspect that energy use,2931.18,5.22
1242
+ per capita will remain stable and even,2933.16,5.22
1243
+ though we might use more energy per,2936.4,4.32
1244
+ capita for some things say for instance,2938.38,4.68
1245
+ cleaning the atmosphere I think that,2940.72,4.68
1246
+ that any increases will be modulated by,2943.06,4.259
1247
+ increasing efficiency,2945.4,4.08
1248
+ and so what I mean by that is that you,2947.319,3.721
1249
+ notice how in that graph at the,2949.48,3.96
1250
+ beginning where energy is per capita,2951.04,7.02
1251
+ kind of peaked in the 70s energy use has,2953.44,5.76
1252
+ continued to go up because the,2958.06,3.539
1253
+ population has continued to go up but I,2959.2,3.96
1254
+ suspect that,2961.599,3.961
1255
+ um that the the trends going in opposite,2963.16,4.02
1256
+ directions will kind of neutralize each,2965.56,4.14
1257
+ other and even if it doesn't solar,2967.18,4.679
1258
+ infusion represent energy hyperabundance,2969.7,4.5
1259
+ that could support you know energy use,2971.859,4.26
1260
+ per capita 10 times 100 times higher,2974.2,4.5
1261
+ than it is today which I won't I don't,2976.119,4.441
1262
+ suspect we're going to go there,2978.7,3.659
1263
+ certainly not quickly,2980.56,5.039
1264
+ uh and the furthermore energy hyper,2982.359,5.821
1265
+ abundance represents a guarantee of,2985.599,4.74
1266
+ meeting our basic needs of food and,2988.18,2.939
1267
+ water,2990.339,3.721
1268
+ which will of course reduce uh conflict,2991.119,4.921
1269
+ globally and will also reduce human,2994.06,4.44
1270
+ suffering,2996.04,5.1
1271
+ now that being said I did say that this,2998.5,4.619
1272
+ is a key ingredient but it is not a,3001.14,4.199
1273
+ complete solution so there are between,3003.119,4.381
1274
+ humans there are plenty other uh areas,3005.339,3.841
1275
+ of conflict such as ideological,3007.5,3.72
1276
+ differences and territorial territorial,3009.18,5.04
1277
+ disputes so for instance the current war,3011.22,5.639
1278
+ between uh Russia and Ukraine is,3014.22,5.16
1279
+ primarily about national identity,3016.859,4.74
1280
+ excuse me it's about national identity,3019.38,6.0
1281
+ and Russia trying to rebuild its former,3021.599,5.701
1282
+ Soviet Glory,3025.38,3.84
1283
+ that has nothing to do with resources,3027.3,5.4
1284
+ although Russia getting access to the,3029.22,6.359
1285
+ Caspian Sea could be part of that,3032.7,6.0
1286
+ um so geopolitical uh Geographic,3035.579,5.641
1287
+ considerations can also Drive conflict,3038.7,4.879
1288
+ which has nothing to do with energy,3041.22,5.04
1289
+ another problem is that creating energy,3043.579,5.321
1290
+ hyperabundance could still be used for,3046.26,4.5
1291
+ negative goals for instance the,3048.9,3.78
1292
+ production of weapons or even the use of,3050.76,4.2
1293
+ energy-based weapons like lasers,3052.68,4.98
1294
+ Firepower or weapons are about the,3054.96,4.56
1295
+ directed application of energy of some,3057.66,4.62
1296
+ sort uh and so what I mean by that is,3059.52,5.22
1297
+ that what does a bullet do a bullet is,3062.28,4.2
1298
+ fired from a gun with chemical energy,3064.74,3.66
1299
+ and so you put a whole bunch of chemical,3066.48,3.48
1300
+ energy you convert it into thermal,3068.4,4.199
1301
+ energy which is then transmuted into,3069.96,4.68
1302
+ kinetic energy and you launch a bullet,3072.599,4.201
1303
+ out of a gun going faster than the speed,3074.64,4.199
1304
+ of sound that is an application of,3076.8,4.5
1305
+ energy that it can be weaponized if you,3078.839,4.861
1306
+ have hyperabundant energy in the form of,3081.3,4.98
1307
+ nuclear fusion you could put that into a,3083.7,5.22
1308
+ laser or a railgun or anything else that,3086.28,5.279
1309
+ is super energy intensive so that being,3088.92,4.74
1310
+ said while I did say that nuclear fusion,3091.559,4.8
1311
+ is not intrinsically used in weapons it,3093.66,4.98
1312
+ can still power plenty of weapon systems,3096.359,5.641
1313
+ which the more energy you have the more,3098.64,5.64
1314
+ destruction you can make and so this is,3102.0,3.96
1315
+ why when you look at the energy density,3104.28,4.14
1316
+ of uranium it's like oh well with a few,3105.96,4.56
1317
+ thousand tons of uranium we can destroy,3108.42,5.34
1318
+ the entire planet great with a few,3110.52,5.28
1319
+ thousand Fusion reactors we can destroy,3113.76,4.2
1320
+ the planet thousands of times over so,3115.8,4.74
1321
+ that's not necessarily the best thing so,3117.96,3.599
1322
+ that's something we'll need to we'll,3120.54,3.48
1323
+ need to keep it in mind and then of,3121.559,3.721
1324
+ course there's plenty of implications,3124.02,3.14
1325
+ for artificial intelligence,3125.28,4.079
1326
+ first and foremost is that artificial,3127.16,3.88
1327
+ intelligence training it is very very,3129.359,4.141
1328
+ energy intensive running computers to,3131.04,4.26
1329
+ run artificial intelligence is also very,3133.5,4.44
1330
+ energy intensive and because of that,3135.3,5.519
1331
+ once we achieve AGI it's probably going,3137.94,4.98
1332
+ to want a stable power supply,3140.819,5.401
1333
+ uh which is uh defined by Instrumental,3142.92,6.0
1334
+ convergence I mentioned that earlier and,3146.22,4.2
1335
+ therefore energy competition between,3148.92,3.179
1336
+ humans and AI could be very very,3150.42,3.78
1337
+ problematic and if we don't solve that,3152.099,4.081
1338
+ it would almost certainly be,3154.2,5.399
1339
+ catastrophic in other words the AI might,3156.18,5.639
1340
+ say we need the energy more than you,3159.599,4.041
1341
+ need it so we're going to take it all,3161.819,4.8
1342
+ and then you know humans you can go,3163.64,4.56
1343
+ starve for All We Care,3166.619,4.5
1344
+ uh now that being said if humans are,3168.2,5.02
1345
+ seen as cooperative and beneficial,3171.119,5.281
1346
+ towards solving uh energy abundance then,3173.22,6.42
1347
+ AGI has less reason to attack expand and,3176.4,4.4
1348
+ seize control,3179.64,4.86
1349
+ but even even here energy hyperabundance,3180.8,5.319
1350
+ is not a complete solution to the,3184.5,3.9
1351
+ control problem but it is a necessary,3186.119,5.161
1352
+ component so the conclusion is that,3188.4,4.919
1353
+ energy hyperabundance is necessary but,3191.28,4.86
1354
+ not sufficient for,3193.319,5.52
1355
+ um the Perpetual existence of the human,3196.14,4.5
1356
+ race and again this is all a foregone,3198.839,3.541
1357
+ conclusion right there's a reason that,3200.64,3.24
1358
+ Nations have been dumping billions of,3202.38,3.66
1359
+ dollars into Fusion research and solar,3203.88,4.199
1360
+ subsidies for the last few decades,3206.04,3.84
1361
+ because the,3208.079,3.0
1362
+ um all the people all the decision,3209.88,4.26
1363
+ makers in the halls of power say hey if,3211.079,6.121
1364
+ we don't solve this we're doomed it's,3214.14,5.16
1365
+ really that simple so my personal,3217.2,4.44
1366
+ Outlook even though I've outlined quite,3219.3,4.559
1367
+ a few problems is that I am incredibly,3221.64,4.62
1368
+ optimistic here is a cutaway of the,3223.859,4.621
1369
+ eater reactor you can see that it is,3226.26,4.559
1370
+ five levels,3228.48,4.44
1371
+ um and it is an enormous scientific,3230.819,4.861
1372
+ experiment when you see this much energy,3232.92,5.46
1373
+ and money and resources and expertise,3235.68,4.62
1374
+ being pointed at a problem,3238.38,3.84
1375
+ even if this even if this version,3240.3,4.259
1376
+ doesn't solve it for good we're going to,3242.22,4.68
1377
+ learn so much about nuclear fusion just,3244.559,3.721
1378
+ from this one experiment and of course,3246.9,2.939
1379
+ it's not even the only experiment going,3248.28,3.18
1380
+ on in the world,3249.839,4.141
1381
+ so with that being said I am very,3251.46,4.139
1382
+ optimistic that these problems are all,3253.98,3.24
1383
+ solvable that we're moving in the right,3255.599,3.901
1384
+ direction there is still plenty of work,3257.22,5.04
1385
+ to do and time is of the essence because,3259.5,4.26
1386
+ with the rapid rise of artificial,3262.26,3.54
1387
+ intelligence we have not yet solved,3263.76,3.78
1388
+ energy hyperabundance which means that,3265.8,3.66
1389
+ artificial general intelligence will,3267.54,4.74
1390
+ compete with us for energy so we need to,3269.46,4.56
1391
+ figure that out not just for our own,3272.28,4.5
1392
+ sakes but for the future of humanity and,3274.02,5.039
1393
+ cooperation so thanks for watching I,3276.78,5.42
1394
+ hope you got a lot out of this video,3279.059,3.141
Escaped Sapiens David Shapiro on AI alignment safety and the future of humanity_transcript.csv ADDED
@@ -0,0 +1,366 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ is there anything that makes humans,0.06,3.0
3
+ Irreplaceable,1.86,3.3
4
+ so are we getting into a stage where,3.06,4.38
5
+ there's nothing that AI that humans can,5.16,4.8
6
+ do that AI won't be able to do,7.44,5.279
7
+ uh from a functional standpoint from a a,9.96,5.759
8
+ an objective standpoint I don't think so,12.719,4.98
9
+ um and that actually begs a very deep,15.719,3.421
10
+ philosophical and spiritual question,17.699,2.821
11
+ which is what is the point of living,19.14,4.5
12
+ what is the point of being a human,20.52,5.16
13
+ um and that uh is something that I've,23.64,4.559
14
+ done some work on I've wrote a paper or,25.68,5.58
15
+ a short book called post nihilism where,28.199,5.581
16
+ what I suspect is that we are barreling,31.26,4.92
17
+ towards uh what I call a nihilistic,33.78,3.54
18
+ crisis or actually we're in the middle,36.18,3.059
19
+ of a nihilistic crisis and it actually,37.32,3.68
20
+ started with the Industrial Revolution,39.239,4.921
21
+ if you look at a lot of poetry and,41.0,5.98
22
+ literature works of fiction during the,44.16,5.28
23
+ the rise of the Industrial Revolution a,46.98,4.079
24
+ lot of people had a lot of existential,49.44,3.299
25
+ anxiety about what was the point of,51.059,4.801
26
+ Being Human in an era of machines and,52.739,4.621
27
+ this kind of pops up every now and then,55.86,4.26
28
+ right same thing happened with computers,57.36,5.539
29
+ um with the Advent of you know uh,60.12,5.34
30
+ high-speed computers nuclear weapons so,62.899,5.021
31
+ on and so forth technological advances,65.46,3.839
32
+ advancements tend to give us some,67.92,2.66
33
+ existentialing,69.299,3.961
34
+ but to your question about like okay,70.58,5.38
35
+ what is the benefit of being a human in,73.26,4.62
36
+ a world where from a product,75.96,3.78
37
+ productivity standpoint or an economic,77.88,3.48
38
+ standpoint machines can do everything,79.74,3.48
39
+ that we can do better faster and cheaper,81.36,4.98
40
+ what's the point and so that is where we,83.22,5.219
41
+ have to change our orientation towards,86.34,4.919
42
+ how we value our own life and our own,88.439,4.5
43
+ subjective experience so that's a deeply,91.259,3.661
44
+ deeply philosophical and religious,92.939,4.561
45
+ perspective or a question and it's it's,94.92,5.04
46
+ really interesting because depending on,97.5,4.2
47
+ someone's spiritual upbringing or,99.96,4.5
48
+ spiritual disposition the question lands,101.7,5.279
49
+ very differently because many uh,104.46,4.199
50
+ religious doctrines around the world,106.979,3.721
51
+ basically say that humans have a soul,108.659,4.861
52
+ and that sets us apart and so whether or,110.7,5.76
53
+ not that's true uh people have a model,113.52,5.279
54
+ for just saying my subjective experience,116.46,6.299
55
+ of being is Matt is very meaningful and,118.799,7.741
56
+ it is unique and so part of overcoming a,122.759,6.301
57
+ nihilistic crisis is we all have to face,126.54,4.62
58
+ that whether or not not we believe in,129.06,4.2
59
+ souls or God or whatever,131.16,5.159
60
+ and we have to kind of go back to basics,133.26,5.76
61
+ and look at the subjective experience of,136.319,4.261
62
+ our own being and so back to your,139.02,3.42
63
+ question earlier about children I,140.58,3.42
64
+ suspect that children who grow up with,142.44,4.26
65
+ AI they will just intrinsically know oh,144.0,4.08
66
+ yeah my experience is different from,146.7,3.179
67
+ this machine and that's okay and that,148.08,3.299
68
+ they won't have any existential anxiety,149.879,4.261
69
+ about it I hope at least do you have are,151.379,4.381
70
+ you hopeful for the future or do you,154.14,3.84
71
+ have this anxiety,155.76,5.58
72
+ um no I I am uh I think I'm biologically,157.98,5.46
73
+ programmed to be optimistic I just I,161.34,3.899
74
+ can't be cynical,163.44,5.04
75
+ um and I I,165.239,5.881
76
+ part of that is that I've done a,168.48,4.08
77
+ tremendous amount of work to understand,171.12,3.6
78
+ what the dangers and risks are and I've,172.56,4.44
79
+ also tried to contribute to coming up,174.72,4.86
80
+ with a more optimistic outcome the,177.0,4.379
81
+ machines so we we all learned this from,179.58,3.42
82
+ watching Scooby-Doo,181.379,3.841
83
+ um the monsters are always humans right,183.0,4.26
84
+ there's no such thing as as an evil,185.22,3.9
85
+ monster out there the problem is always,187.26,4.92
86
+ humans and so this is this is a big,189.12,5.24
87
+ reason that I've done my work is because,192.18,4.62
88
+ you know it's not it's not that a,194.36,4.36
89
+ machine is going to replace you and,196.8,3.359
90
+ that's a bad thing right we all,198.72,3.599
91
+ fantasize about like hey I want to you,200.159,3.72
92
+ know go live in the countryside and just,202.319,3.481
93
+ go fishing every day we all know what we,203.879,4.261
94
+ want to do if we don't have to work what,205.8,5.4
95
+ we are truly afraid of is not being able,208.14,5.22
96
+ to take care of ourselves is that if the,211.2,4.14
97
+ machine takes our job we're gonna go,213.36,3.9
98
+ hungry we're gonna lose our home we're,215.34,4.02
99
+ gonna end up lonely and and whatever,217.26,4.8
100
+ that's the actual fear,219.36,4.799
101
+ um nobody actually wants to keep working,222.06,4.38
102
+ right nobody want like I remember one of,224.159,4.921
103
+ the advertisements for um for a like,226.44,5.1
104
+ health insurance here in America was you,229.08,3.9
105
+ get to keep your health insurance you,231.54,2.82
106
+ like your health nobody likes health,232.98,4.259
107
+ insurance it's a necessary evil right,234.36,6.959
108
+ jobs occupations are a necessary evil of,237.239,6.301
109
+ the economic environment that we're in,241.319,4.14
110
+ and the technological limitations that,243.54,3.96
111
+ we're in and so as these things progress,245.459,3.481
112
+ this is this is I'm basically just,247.5,3.599
113
+ unpacking why I'm optimistic as these,248.94,3.78
114
+ things progress I hope that we're all,251.099,3.36
115
+ going to be able to have kind of a Back,252.72,3.54
116
+ to Basics moment where it's like you,254.459,3.12
117
+ wake up one day and it's like how do you,256.26,2.58
118
+ actually want to live right if you want,257.579,2.94
119
+ to go fishing every day do it if you,258.84,3.54
120
+ want to focus on being an opera singer,260.519,4.381
121
+ go do that you know there's we all have,262.38,4.74
122
+ stuff that we want to do but that we,264.9,4.44
123
+ sacrifice for the sake of earning enough,267.12,4.2
124
+ money to take care of ourselves and that,269.34,5.34
125
+ is the reality for most of us today,271.32,4.8
126
+ one of the reasons why we have this,274.68,3.36
127
+ worry is because currently we live in,276.12,3.48
128
+ sort of a negotiated environment right,278.04,4.02
129
+ the successive labor movements was,279.6,4.92
130
+ because labor was needed when humans are,282.06,4.699
131
+ no longer needed,284.52,4.92
132
+ there's sort of a worry that,286.759,4.121
133
+ we're not going to have the opportunity,289.44,2.64
134
+ to go fishing,290.88,2.46
135
+ right where they're going to have,292.08,3.3
136
+ nothing and I guess that's that's the,293.34,3.48
137
+ the worry that you're pointing at what,295.38,3.24
138
+ what do you think the first jobs are,296.82,3.9
139
+ that are going to go,298.62,3.66
140
+ well there's already been quite a few,300.72,2.64
141
+ layoffs,302.28,3.96
142
+ um various uh communities on Reddit or,303.36,4.98
143
+ private communities on Discord,306.24,4.56
144
+ um so for instance my uh fiance's uh,308.34,4.38
145
+ were both writers but she's on a few uh,310.8,3.899
146
+ private writing communities,312.72,3.479
147
+ um copywriters have already been laid,314.699,4.201
148
+ off and replaced by AI,316.199,4.741
149
+ um uh marketing teams have been notified,318.9,3.6
150
+ that you know they've got a year until,320.94,2.88
151
+ they're all going to get laid off and,322.5,3.66
152
+ replaced by you know AI generated images,323.82,4.86
153
+ and AI generated emails,326.16,4.62
154
+ um so it's happening,328.68,5.04
155
+ um yeah that's that that's where we're,330.78,6.24
156
+ at now I guess to to your your larger,333.72,5.28
157
+ point of you know if we're all,337.02,3.959
158
+ replaceable you know what's what's the,339.0,4.08
159
+ bottom line and the fact of the matter,340.979,4.381
160
+ is from a corporate perspective from uh,343.08,3.899
161
+ from the perspective of neoliberalism,345.36,4.559
162
+ human labor is one of the most expensive,346.979,5.461
163
+ aspects of productivity and it's also,349.919,4.861
164
+ the biggest constraint you look at a,352.44,4.5
165
+ population decline in places like China,354.78,4.02
166
+ and Japan because China just crested,356.94,3.96
167
+ right so from here on out China's,358.8,3.54
168
+ population is going down for at least,360.9,3.239
169
+ the next Century Japan has been in,362.34,3.78
170
+ Decline for a couple decades now uh,364.139,4.201
171
+ ditto for Italy and a few other nations,366.12,4.799
172
+ so their labor force is Contracting,368.34,5.34
173
+ right and from an economic perspective,370.919,6.241
174
+ that's really bad for for for Nations so,373.68,6.0
175
+ AI hopefully will actually Shore up,377.16,4.86
176
+ those Labor uh labor markets and,379.68,5.7
177
+ actually replace lost human labor now,382.02,5.28
178
+ because humans are so expensive right,385.38,4.62
179
+ you can pay uh 20 a month for chat gbt,387.3,4.56
180
+ and it can basically serve as an,390.0,3.84
181
+ executive assistant and personal coach,391.86,3.839
182
+ and every it can replace literally,393.84,3.479
183
+ thousands of dollars worth of Labor and,395.699,3.901
184
+ it costs 20 a month chat GPT is,397.319,3.541
185
+ infinitely cheaper than most human,399.6,2.879
186
+ employees,400.86,2.76
187
+ um and that's only going to get better,402.479,3.06
188
+ right because either the model is going,403.62,4.019
189
+ to get more efficient and cheaper,405.539,3.481
190
+ um or it's going to get smarter and more,407.639,3.0
191
+ powerful and therefore more valuable or,409.02,5.16
192
+ both in all likelihood so one one of the,410.639,4.861
193
+ things that I predict,414.18,3.12
194
+ is that we are going to have a post,415.5,4.56
195
+ Labor uh market economy before too long,417.3,5.58
196
+ and in that respect uh basically,420.06,5.46
197
+ economic productivity will be decoupled,422.88,4.319
198
+ from Human labor,425.52,3.48
199
+ um and in that case you know you're,427.199,3.181
200
+ going to see quadrillion dollar,429.0,3.84
201
+ valuation uh for companies that have no,430.38,3.539
202
+ employees,432.84,3.0
203
+ and that might sound like that that,433.919,4.081
204
+ could be an ingredient for a dystopian,435.84,5.04
205
+ world that nobody wants to live in,438.0,4.74
206
+ we'll get to like the regulation and,440.88,4.5
207
+ stuff of that later but from a from a,442.74,5.7
208
+ from a purely GDP perspective AI is,445.38,4.08
209
+ going to be the best thing that ever,448.44,4.86
210
+ happened to GDP to uh to uh economics,449.46,6.54
211
+ because again it will decouple uh human,453.3,4.2
212
+ labor from the constraint and that there,456.0,2.94
213
+ there will still be a few constraints,457.5,4.62
214
+ natural resources Rare Minerals uh fresh,458.94,6.06
215
+ water arable land right there's going to,462.12,4.32
216
+ be there's always going to be some,465.0,3.599
217
+ physical constraints but we're going to,466.44,4.56
218
+ remove human labor as one of the main uh,468.599,5.281
219
+ constraints to economics and that is,471.0,4.38
220
+ going to mandate kind of those things,473.88,2.759
221
+ like you said like if you want to go,475.38,3.78
222
+ fishing well how right if you don't have,476.639,4.921
223
+ any economic power if you don't have any,479.16,5.099
224
+ way to make a demand then that's a big,481.56,4.38
225
+ problem which is what we're going to,484.259,2.821
226
+ have to negotiate we're going to have to,485.94,2.58
227
+ negotiate a new social contract,487.08,2.88
228
+ basically,488.52,3.06
229
+ what do you think the impact is going to,489.96,3.9
230
+ be on births ultimately do you think,491.58,4.86
231
+ people are going to just start having AI,493.86,5.1
232
+ children because it's cheaper,496.44,4.08
233
+ you know that's a really difficult,498.96,3.9
234
+ question I could see it going either way,500.52,4.44
235
+ um there's plenty of books and and and,502.86,5.04
236
+ fiction out there and research papers,504.96,4.799
237
+ um people have predicted you know the,507.9,4.74
238
+ population uh explosion you know the,509.759,4.381
239
+ Earth will become uninhabitable because,512.64,2.94
240
+ we'll have billions and billions of,514.14,3.48
241
+ people that we can't feed other people,515.58,3.36
242
+ are worried that you know the population,517.62,3.359
243
+ is going to collapse,518.94,3.36
244
+ um and I actually had a pretty long,520.979,3.36
245
+ conversation about this just to kind of,522.3,4.26
246
+ clarify my own ideas uh again with chat,524.339,3.781
247
+ GPT,526.56,4.38
248
+ um and so there's a few driving factors,528.12,6.42
249
+ that cause uh birth rates to decline,530.94,5.78
250
+ um uh women entering the workforce,534.54,4.26
251
+ education and empowerment for women,536.72,5.1
252
+ access to birth control so it turns out,538.8,6.479
253
+ when a society advances and becomes a,541.82,6.16
254
+ little bit more uh sophisticated or or,545.279,5.101
255
+ gains more access or some you know Ginny,547.98,4.38
256
+ coefficient goes up whatever metrics you,550.38,4.68
257
+ use education goes up fertility rates go,552.36,3.539
258
+ down,555.06,2.7
259
+ some of that has to do with the choices,555.899,4.141
260
+ of Family Planning you know men and,557.76,3.6
261
+ women decide to have fewer children,560.04,3.6
262
+ women have more control over their own,561.36,3.479
263
+ fate,563.64,3.18
264
+ um and so fertility rates tend to go,564.839,4.021
265
+ down and this is a very very reliable,566.82,4.019
266
+ Trend globally,568.86,3.14
267
+ um you know,570.839,3.901
268
+ regardless of culture regardless of,572.0,5.14
269
+ other economic conditions as education,574.74,6.0
270
+ rates go up as uh uh women in the,577.14,5.639
271
+ workforce goes up fertility rates goes,580.74,4.14
272
+ down this is a global thing with no,582.779,5.041
273
+ exceptions right so if you extrapolate,584.88,5.1
274
+ that out then you can probably make a,587.82,5.1
275
+ relatively safe assumption that as AI,589.98,5.58
276
+ spreads around the world and economics,592.92,4.44
277
+ and education and everything goes up,595.56,4.14
278
+ that fertility rates will continue to go,597.36,5.7
279
+ down around the whole world South Korea,599.7,4.92
280
+ I believe has the lowest fertility rate,603.06,4.74
281
+ on the planet at 0.8 births per woman,604.62,5.52
282
+ which is uh like,607.8,4.86
283
+ um just uh just above a third of the,610.14,5.34
284
+ replacement rate so it's entirely,612.66,6.299
285
+ possible that under these trends that a,615.48,5.46
286
+ population collapse is actually the most,618.959,4.921
287
+ real danger that we face so well what do,620.94,5.1
288
+ you do about that one thing that I think,623.88,5.34
289
+ is going to happen is that AI will lead,626.04,6.479
290
+ to Medical breakthroughs and I suspect,629.22,6.36
291
+ that we are close if not already at uh,632.519,5.041
292
+ the the place of what's called Longevity,635.58,4.86
293
+ escape velocity which is that the,637.56,4.38
294
+ medical breakthroughs that happen every,640.44,3.54
295
+ year extend your life by more than a,641.94,4.62
296
+ year so basically,643.98,4.56
297
+ hypothetically if you're healthy enough,646.56,4.56
298
+ today if you're not about to die and you,648.54,5.1
299
+ have access to decent enough uh health,651.12,4.68
300
+ care then that the compounding returns,653.64,4.56
301
+ of medical research and AI means that,655.8,3.96
302
+ you and I could live to be several,658.2,3.66
303
+ centuries old which means that the,659.76,3.9
304
+ population of the planet will stabilize,661.86,5.159
305
+ as birth rates continue to decline now,663.66,5.28
306
+ whether I I do think that some people,667.019,4.56
307
+ will ultimately choose like AI,668.94,4.74
308
+ companions as they become more realistic,671.579,3.721
309
+ certainly a lot of people have seen,673.68,3.36
310
+ shows like Westworld,675.3,2.46
311
+ um you know one of my favorite,677.04,2.28
312
+ characters of all time is data from Star,677.76,3.24
313
+ Trek and I would love to have data as a,679.32,3.12
314
+ friend right,681.0,4.82
315
+ um so I absolutely suspect that um that,682.44,6.0
316
+ anthropomorphic machines will be part of,685.82,4.66
317
+ our Lives before too long,688.44,3.78
318
+ um whether what form they take you know,690.48,3.299
319
+ whether it's a robotic dog that never,692.22,4.38
320
+ dies or you know a walking talking,693.779,5.161
321
+ friend that is always there to hang out,696.6,4.739
322
+ or if it's a romantic partner like uh,698.94,3.839
323
+ you know in the movie Her,701.339,3.481
324
+ um with Joaquin Phoenix and Scarlett,702.779,3.781
325
+ Johansson there's lots of possibilities,704.82,4.32
326
+ uh for how life is going to be but like,706.56,4.26
327
+ I said I think one of the most reliable,709.14,4.02
328
+ durable Trends is fertility rates go,710.82,4.5
329
+ down so the question is will that be,713.16,3.9
330
+ offset by longevity,715.32,4.44
331
+ so in other words rather than sort of,717.06,5.16
332
+ the the dangerous Skynet that some,719.76,5.16
333
+ people Envision we might just get out,722.22,5.16
334
+ competed sexually uh into Extinction,724.92,4.8
335
+ something along those lines yeah that's,727.38,4.26
336
+ that's entirely possible especially when,729.72,3.66
337
+ you consider that um actually there was,731.64,4.199
338
+ a line from Terminator two it was when,733.38,4.98
339
+ Sarah Connor was watching uh you know,735.839,3.901
340
+ the Terminator Arnold Schwarzenegger,738.36,4.2
341
+ play with John and she realized that the,739.74,5.279
342
+ machine has infinite patience and will,742.56,4.5
343
+ always be there because John was his,745.019,4.26
344
+ mission and I realized that from a,747.06,3.899
345
+ philosophical standpoint one reading of,749.279,4.5
346
+ that is that the machine could be a,750.959,4.261
347
+ better parent than a human parent could,753.779,4.021
348
+ ever be because for a child from a,755.22,4.619
349
+ child's perspective they should be their,757.8,3.84
350
+ Prime their parents primary Mission but,759.839,3.721
351
+ that's never the case right parents are,761.64,3.78
352
+ humans too and they have their own needs,763.56,4.26
353
+ their own desires their own plans but,765.42,5.219
354
+ when you have a machine that it's if it,767.82,4.68
355
+ is designed that you are its primary,770.639,3.781
356
+ Mission whether you're an adult or a,772.5,4.86
357
+ child like that could be like,774.42,5.599
358
+ from some perspectives a better outcome,777.36,4.5
359
+ obviously some people are probably,780.019,3.701
360
+ cringing which is understandable that's,781.86,3.659
361
+ a perfectly healthy reaction to the idea,783.72,3.9
362
+ of replacing children and parents with,785.519,4.081
363
+ machines but it's possible Right,787.62,5.06
364
+ hypothetically possible,789.6,3.08
365
+ [Music],798.3,11.7
366
+ foreign,807.0,3.0
First look ChatGPT4 has 32000 tokens Continuing work on my ASCENSION novel with the latest_transcript.csv ADDED
@@ -0,0 +1,664 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everyone David Shapiro here,0.42,3.18
3
+ um,3.06,1.98
4
+ who I don't know when I'm gonna post,3.6,5.16
5
+ this video but gpt4 just dropped and um,5.04,7.58
6
+ so I'm already experimenting with it,8.76,3.86
7
+ um now the biggest thing that I noticed,12.84,6.48
8
+ in the live stream demo was that the,15.78,7.02
9
+ chat gpt4 has a token count of 32 000,19.32,4.92
10
+ tokens,22.8,4.5
11
+ and the ratio of tokens to words is,24.24,5.16
12
+ roughly two-thirds so that's about 20,27.3,3.18
13
+ 000 words,29.4,5.339
14
+ twenty thousand words is a lot that is,30.48,6.96
15
+ about a hundred Pages uh just shy of 100,34.739,4.861
16
+ pages of text,37.44,5.52
17
+ um which is enough working memory,39.6,5.58
18
+ to do basically any human task almost,42.96,4.14
19
+ any human task especially when you,45.18,3.42
20
+ consider the amount of intrinsic,47.1,3.0
21
+ knowledge or background knowledge or,48.6,4.22
22
+ latent knowledge that the model has,50.1,7.979
23
+ so we just hit a new era of AI so the,52.82,8.079
24
+ the only way you can use gpt4 right now,58.079,6.54
25
+ is if you're on chat GPT plus,60.899,6.301
26
+ um and I already signed up for the API,64.619,5.581
27
+ of course but it looks like it'll be a,67.2,5.52
28
+ minute so anyways so I'm going back to,70.2,4.26
29
+ Ascension so here's the notes that I had,72.72,3.48
30
+ for Ascension,74.46,2.4
31
+ um,76.2,4.02
32
+ and then I also have the previous uh uh,76.86,5.64
33
+ one right here,80.22,4.8
34
+ um so what I'm doing is I'm adding in,82.5,4.799
35
+ some of the information that I was,85.02,5.0
36
+ brainstorming last time,87.299,5.881
37
+ Okay so,90.02,4.72
38
+ let's see what are the specific,93.18,4.5
39
+ Milestones there we go all right so,94.74,6.12
40
+ let me add some of these notes,97.68,6.24
41
+ and we're just gonna we're just gonna go,100.86,6.96
42
+ refresh Ascension part two uh great here,103.92,8.1
43
+ are some other notes we worked on in,107.82,7.46
44
+ another session,112.02,3.26
45
+ um here actually let me,117.72,5.31
46
+ just grab this as a whole,119.34,4.26
47
+ [Music],123.03,2.57
48
+ um,123.6,2.0
49
+ because the uh the context window is so,127.92,3.48
50
+ long,130.619,4.501
51
+ great here are some notes from,131.4,8.419
52
+ another session we worked on,135.12,4.699
53
+ um,141.0,4.56
54
+ wait there's more are you ready,142.14,5.34
55
+ so one thing I've noticed already is,145.56,3.899
56
+ that gpt4 is a little bit more hot on,147.48,4.02
57
+ the biscuit ready to go so you got to,149.459,4.5
58
+ tell it like wait,151.5,4.2
59
+ um,153.959,3.841
60
+ of course I am here to help take your,155.7,5.039
61
+ time okay blah blah blah I don't want to,157.8,4.92
62
+ interrupt it so you'll notice that gpt4,160.739,3.72
63
+ is a little bit slower,162.72,3.659
64
+ so that's fine all right so then we'll,164.459,3.541
65
+ come up here,166.379,6.541
66
+ um let's see I just got uh this one,168.0,5.879
67
+ um,172.92,5.099
68
+ here are some possible milestones,173.879,4.14
69
+ here actually let's just let's just grab,179.94,4.46
70
+ all this,182.04,2.36
71
+ great,185.7,2.48
72
+ um actually no that's fine,190.8,2.96
73
+ oops,204.48,2.539
74
+ let me check if there's more so,213.48,4.92
75
+ basically sorry for the silence I was,216.659,3.421
76
+ just kind of thinking,218.4,2.339
77
+ um,220.08,3.48
78
+ so I'm giving it everything and this is,220.739,4.56
79
+ let's just oops,223.56,6.78
80
+ let's just copy paste everything,225.299,5.041
81
+ into a new word document and see how,230.459,4.261
82
+ many words this is,232.56,5.759
83
+ so this is only 2300 words so this is,234.72,7.56
84
+ about a tenth of the context window,238.319,6.301
85
+ so we're we're already planning the,242.28,4.379
86
+ entire story,244.62,3.0
87
+ um,246.659,3.121
88
+ basically copy pasting everything that,247.62,3.6
89
+ I've already got,249.78,5.7
90
+ let's see there it is okay,251.22,6.9
91
+ there we go okay great so now that we've,255.48,3.9
92
+ got this okay,258.12,2.1
93
+ um,259.38,2.759
94
+ I think,260.22,5.28
95
+ that is the grand total of all the,262.139,7.741
96
+ information we've got about story so far,265.5,6.3
97
+ please,269.88,6.96
98
+ um recap everything in totality,271.8,7.16
99
+ um,276.84,2.12
100
+ uh,279.24,3.42
101
+ about this story,280.62,5.46
102
+ please capture all details,282.66,6.599
103
+ um in a complete report,286.08,3.96
104
+ um,289.259,3.201
105
+ I will be using,290.04,4.64
106
+ this document,292.46,6.88
107
+ to some uh uh let's see two uh what's,294.68,6.22
108
+ the word um,299.34,3.48
109
+ let's see as a,300.9,4.799
110
+ as the main uh let's see there's a,302.82,6.12
111
+ there's a term for it in in fiction,305.699,4.681
112
+ um where you use it like it's your main,308.94,2.52
113
+ Bible,310.38,2.94
114
+ what's the main Bible for,311.46,2.459
115
+ um,313.32,2.04
116
+ story,313.919,3.301
117
+ okay so while that's going let's talk,315.36,4.559
118
+ about gbt4,317.22,4.86
119
+ um so I watched the whole live stream,319.919,6.78
120
+ gpt4 is multimodal it can accept images,322.08,6.6
121
+ um if you look at,326.699,4.761
122
+ product,328.68,2.78
123
+ um they mention,332.88,6.02
124
+ I think they mentioned videos,335.46,3.44
125
+ um did they,339.66,6.18
126
+ no okay so basically it has it can,342.419,5.581
127
+ understand images which means that it,345.84,4.5
128
+ can look at a screen right it can look,348.0,4.139
129
+ at your code it can look at what you're,350.34,3.78
130
+ doing and understand what it's doing so,352.139,3.961
131
+ it's multimodal on the input I don't,354.12,3.48
132
+ think it's multimodal on the output,356.1,4.2
133
+ that's fine,357.6,4.319
134
+ um and you can see okay here it is it's,360.3,4.32
135
+ going a little bit slower,361.919,5.301
136
+ um there we go,364.62,2.6
137
+ um,368.039,5.16
138
+ yeah but you know so in terms of the,369.0,7.68
139
+ cognitive performance of gpt4 it looks,373.199,5.581
140
+ like it's an incremental,376.68,5.88
141
+ um improvement over GPT 3.5,378.78,6.78
142
+ um so that is that is the that is like,382.56,4.8
143
+ where we're starting,385.56,5.4
144
+ um but on top of the incremental,387.36,7.02
145
+ improvements there is uh there's this,390.96,5.1
146
+ the cognitive Improvement and so if you,394.38,3.3
147
+ look on this,396.06,2.16
148
+ um,397.68,2.88
149
+ it they talk about like how much it has,398.22,4.08
150
+ improved on benchmarks,400.56,4.56
151
+ so the uniform bar exam Chad gbt placed,402.3,4.86
152
+ in the 10th percentile so it passed the,405.12,4.799
153
+ bar gpt4 placed in the 90th percentile,407.16,4.92
154
+ so that means that,409.919,5.461
155
+ um gpt4 now outperforms 90 percent of,412.08,5.82
156
+ lawyers on the bar exam,415.38,6.48
157
+ and then the biology Olympiad it was in,417.9,5.82
158
+ the 31st percentile now it is in the,421.86,3.6
159
+ 99th percentile,423.72,4.62
160
+ so uh,425.46,5.34
161
+ to say that this is a Quantum Leap,428.34,5.52
162
+ Forward is not an exaggeration so I just,430.8,5.1
163
+ posted a um,433.86,5.459
164
+ a uh uh a poll,435.9,5.94
165
+ a couple days ago,439.319,4.681
166
+ um I guess it was actually one day ago I,441.84,5.28
167
+ I said will we achieve AGI this year and,444.0,8.28
168
+ 20 19 say yes AGI this year 73 so almost,447.12,7.32
169
+ three quarters of people say no AGI in,452.28,4.56
170
+ the future and then um nine percent say,454.44,5.28
171
+ AGI already happened I suspect this is,456.84,4.919
172
+ going to change after people see what,459.72,5.9
173
+ what gpt4 is capable of,461.759,3.861
174
+ okay cool,465.78,8.0
175
+ um disentangling from Power there we go,468.479,5.301
176
+ Moment of Truth,474.3,3.14
177
+ great,478.02,2.54
178
+ um okay this is not quite as detailed as,481.86,4.02
179
+ I had hoped but that's okay because all,484.259,3.66
180
+ the information is here,485.88,6.42
181
+ um let's see you seem to be missing Act,487.919,6.06
182
+ One,492.3,3.72
183
+ um plot Beats,493.979,5.06
184
+ so let's see what it says,496.02,3.019
185
+ okay so,502.08,5.239
186
+ um,505.259,2.06
187
+ I was just talking to my fiance about,508.139,6.181
188
+ the scale of 32 of a 32 000 token memory,510.08,7.36
189
+ so that's about 20 000 Words which when,514.32,4.68
190
+ you combine that twenty thousand words,517.44,3.12
191
+ with the intrinsic knowledge that the,519.0,3.18
192
+ model already has so that means that you,520.56,2.82
193
+ only need to give it the relevant,522.18,4.14
194
+ updated details like the documentation,523.38,5.22
195
+ that you're working on or,526.32,4.32
196
+ um some episodic memory or whatever and,528.6,4.14
197
+ it can kind of confabulate or,530.64,3.78
198
+ triangulate the rest of the of the,532.74,3.719
199
+ missing information so for instance I,534.42,4.2
200
+ don't need to describe Rome to the model,536.459,4.741
201
+ when I'm talking about Rome,538.62,3.8
202
+ um,541.2,5.4
203
+ so that is pretty interesting not only,542.42,7.08
204
+ that it is it surpasses human abilities,546.6,5.7
205
+ uh in a lot of things and so here I'm,549.5,4.66
206
+ just giving it a little bit of steering,552.3,4.44
207
+ and off it goes to the races and I'm,554.16,4.44
208
+ like okay great,556.74,2.64
209
+ um,558.6,2.04
210
+ great,559.38,1.92
211
+ um,560.64,2.34
212
+ what do you think,561.3,6.78
213
+ um should we try to write act one or uh,562.98,9.24
214
+ plot the rest of act two and three,568.08,6.24
215
+ so let's see what it says I'm as a,572.22,3.119
216
+ language model I'm happy to help you,574.32,3.72
217
+ with either option okay,575.339,5.641
218
+ um so that's actually good I did say at,578.04,4.14
219
+ the beginning that it seems like it's a,580.98,3.24
220
+ little bit hot on the biscuit so I would,582.18,4.08
221
+ have expected it to say let's rate,584.22,3.299
222
+ um but it seems like it's taking a,586.26,3.66
223
+ little bit more balanced uh uh proposal,587.519,4.88
224
+ right now,589.92,2.479
225
+ yeah,595.08,3.12
226
+ um you know what,596.339,3.661
227
+ we don't know exactly where the story is,598.2,3.24
228
+ going to end up,600.0,2.76
229
+ um so,601.44,3.839
230
+ I would say,602.76,5.699
231
+ Let's uh because 20 000 words that's,605.279,6.24
232
+ going to basically be the first act so,608.459,4.861
233
+ well let's see what it let's see what it,611.519,3.361
234
+ says okay,613.32,2.579
235
+ um,614.88,3.36
236
+ I think we should,615.899,4.38
237
+ go ahead and,618.24,5.46
238
+ plan and write act one in a bit more,620.279,7.56
239
+ detail uh most novels are 30 to 50,623.7,6.48
240
+ chapters,627.839,6.241
241
+ um so act one should be,630.18,8.159
242
+ um eight to uh what's that about 15.,634.08,10.22
243
+ 8 to 15 chapters or so uh can you,638.339,9.56
244
+ take those main plot Beats,644.3,6.539
245
+ we discussed,647.899,8.261
246
+ and map those onto about a dozen,650.839,9.341
247
+ chapters or so please include,656.16,7.619
248
+ details about what happens in each,660.18,5.279
249
+ chapter,663.779,5.781
250
+ um be sure to include information about,665.459,9.56
251
+ plot advancement character development,669.56,5.459
252
+ um world building,675.3,8.34
253
+ um and uh and themes for each chapter so,678.3,6.779
254
+ one thing that I have found in using,683.64,4.74
255
+ chat GPT to help me write is you can,685.079,5.88
256
+ weave together all four of those pillars,688.38,5.94
257
+ of Storytelling in one go plot character,690.959,6.06
258
+ setting theme those are the four primary,694.32,4.44
259
+ ingredients you put those together you,697.019,4.621
260
+ tell chat GPT that's what you want and I,698.76,4.86
261
+ won't say nine times out of ten about,701.64,3.96
262
+ fifty percent of the time it does pretty,703.62,4.26
263
+ good A couple other times you have to,705.6,3.9
264
+ say let's look at this from a slightly,707.88,3.6
265
+ different perspective,709.5,3.959
266
+ um and that's where I use jungian,711.48,4.32
267
+ archetypes and Joseph Campbell so that,713.459,4.38
268
+ it's so that it basically adopts like oh,715.8,3.539
269
+ actually I know what I'm talking about,717.839,3.421
270
+ when we talk about constructing a story,719.339,4.201
271
+ you could also use Save the cat or any,721.26,3.06
272
+ other,723.54,3.96
273
+ um models uh for storytelling so you can,724.32,4.98
274
+ say like let's do a five act structure,727.5,4.519
275
+ like a Shakespeare or a or a four act TV,729.3,5.82
276
+ structure so anyways let's see what it,732.019,5.32
277
+ does with this so,735.12,4.5
278
+ one of the one of the common rules is,737.339,4.68
279
+ less is more,739.62,4.92
280
+ um and so this is becoming increasingly,742.019,4.921
281
+ true as these models become smarter you,744.54,4.919
282
+ give it just enough information,746.94,4.44
283
+ um to to know what your goal is and then,749.459,4.82
284
+ you kind of set it free,751.38,2.899
285
+ all right so introduction selling the,756.779,4.5
286
+ heirloom,758.76,4.8
287
+ there we go chapter three exploring Rome,761.279,3.721
288
+ experiencing the city's vibrant,763.56,2.719
289
+ atmosphere,765.0,3.779
290
+ Rome's Landmark social classes daily,766.279,4.481
291
+ life themes Discovery contrast between,768.779,3.421
292
+ rich and poor,770.76,3.54
293
+ chapter four a chance encounter I love,772.2,5.18
294
+ these not these titles,774.3,3.08
295
+ okay so because,779.94,3.98
296
+ let's see I don't think I think the,784.92,6.02
297
+ first Patron that's too soon,787.2,3.74
298
+ because also she's like a teenager,793.98,5.76
299
+ I don't know well I guess if she's 16 or,797.1,4.76
300
+ whatever,799.74,2.12
301
+ so,802.38,4.68
302
+ yeah explores the city a public event,805.2,3.84
303
+ meets an influential woman confronts her,807.06,3.18
304
+ mother,809.04,4.859
305
+ yeah that was act yeah hold on hold on,810.24,7.039
306
+ stop stop stop stop stop,813.899,3.38
307
+ hold on a second,818.04,5.88
308
+ so in this case it clearly lost the plot,819.839,7.081
309
+ um so because we we had five plot beats,823.92,4.979
310
+ here so,826.92,2.94
311
+ um,828.899,4.801
312
+ let's see uh let's see please expand the,829.86,6.18
313
+ five plot beats,833.7,7.439
314
+ um listed below into 12 chapters,836.04,6.84
315
+ um,841.139,3.661
316
+ because right now it's confabulating,842.88,4.28
317
+ stuff,844.8,2.36
318
+ so we can see that this this task,847.8,6.36
319
+ complexity is not quite up to Snuff it,850.62,6.68
320
+ needs a little bit more help,854.16,3.14
321
+ um yep there we go,862.139,3.5
322
+ all right so let's try again,866.339,3.841
323
+ here's a detailed breakdown of Act One,868.44,3.36
324
+ expanding the five plot beats into 12,870.18,4.32
325
+ chapters okay so it was off to an okay,871.8,4.5
326
+ start I probably should have saved that,874.5,3.839
327
+ but when I saw that it was It was kind,876.3,4.38
328
+ of rushing through the story and to be,878.339,4.68
329
+ fair rushing through the story like that,880.68,4.98
330
+ is pretty typical for amateur writers,883.019,5.701
331
+ actually is it takes a lot of discipline,885.66,6.359
332
+ to slow down and say we'll get there,888.72,5.9
333
+ um there we go,892.019,2.601
334
+ I like how we're kind of starting off,896.279,4.381
335
+ nice and slow the sale of the heirloom,898.62,6.54
336
+ Cornelia explores Rome the public event,900.66,6.66
337
+ so,905.16,6.859
338
+ public event is there a new mentor,907.32,4.699
339
+ Court Intrigue and social climbing,912.899,6.0
340
+ she's the first major Patron okay so,915.8,5.8
341
+ it's really hell-bent on just jumping,918.899,5.221
342
+ the gun okay so this this is an example,921.6,5.88
343
+ of what I mean by hot on the biscuit,924.12,4.5
344
+ um,927.48,4.74
345
+ hang on you're getting to the,928.62,8.64
346
+ um to the end game now uh let's uh let's,932.22,6.66
347
+ say too fast,937.26,3.48
348
+ um let's slow,938.88,3.48
349
+ this down,940.74,3.24
350
+ um,942.36,4.56
351
+ think through everything,943.98,8.4
352
+ that uh that happens in act one,946.92,10.46
353
+ of a story based on the three Act,952.38,6.54
354
+ structure,957.38,5.139
355
+ or Joseph Campbell's,958.92,4.5
356
+ um,962.519,4.041
357
+ hero's journey,963.42,3.14
358
+ now,970.139,3.26
359
+ based on that,971.519,4.56
360
+ let's brainstorm so telling it to,973.399,4.18
361
+ brainstorm rather than just go ahead and,976.079,4.38
362
+ write let's brainstorm,977.579,4.681
363
+ um,980.459,9.32
364
+ 12 chapters that only adhere to act one,982.26,7.519
365
+ therefore act one must end with the,989.88,7.019
366
+ Crossing the Rubicon,994.459,5.8
367
+ moment of no return,996.899,7.5
368
+ maybe we need to discuss that before,1000.259,6.0
369
+ proceeding,1004.399,4.081
370
+ okay let's see what it says,1006.259,4.26
371
+ you're right I may have progressed too,1008.48,4.979
372
+ quickly through act one again pretty,1010.519,4.74
373
+ typical amateur,1013.459,5.101
374
+ um uh uh move since I know better I can,1015.259,4.921
375
+ keep it on track I was hoping that it,1018.56,3.3
376
+ would be able to figure that out but,1020.18,4.159
377
+ that's fine,1021.86,5.16
378
+ okay for the Crossing the Rubicon moment,1024.339,4.12
379
+ this could be when Cornelia makes a,1027.02,2.76
380
+ decision that commits her to the path of,1028.459,4.021
381
+ becoming a courtesan there we go so the,1029.78,4.799
382
+ refusal will actually probably be,1032.48,4.92
383
+ refusing the mentor the mysterious,1034.579,5.72
384
+ influential woman,1037.4,2.899
385
+ okay so since it's since I gave it a,1040.76,3.48
386
+ little bit of feedback and guidance,1043.04,2.7
387
+ let's see,1044.24,5.28
388
+ if it's able to figure out that okay so,1045.74,5.76
389
+ she's exploring Rome the sale of the,1049.52,5.22
390
+ family heirloom okay there we go there,1051.5,5.46
391
+ we go so it's slowing it down so she,1054.74,5.7
392
+ discovers the heirloom in chapter two,1056.96,6.0
393
+ um then she explores Rome she's she's,1060.44,4.08
394
+ exploring she doesn't know what's going,1062.96,5.099
395
+ on then she sells it she decides to sell,1064.52,7.2
396
+ it because she realizes oh here we go,1068.059,5.581
397
+ um and then okay so the mysterious,1071.72,4.44
398
+ figure gets there uh better life and,1073.64,5.22
399
+ loyalty to the family oh here we go a,1076.16,4.259
400
+ chance encounter she meets her future,1078.86,5.46
401
+ Mentor who introduces her to the War uh,1080.419,4.561
402
+ um,1084.32,2.64
403
+ world of courtesans,1084.98,4.559
404
+ she attends a public event where she'll,1086.96,4.079
405
+ make important connections allies and,1089.539,3.721
406
+ enemies,1091.039,4.981
407
+ um among the events guests ooh so a lot,1093.26,5.7
408
+ happens at this event the mentors offer,1096.02,4.32
409
+ there we go,1098.96,2.94
410
+ the mentor offers her guidance and,1100.34,2.94
411
+ assistance in becoming a successful,1101.9,2.7
412
+ courtesan there we go the mentor,1103.28,2.639
413
+ provides her with resources and,1104.6,3.3
414
+ connections to get started family,1105.919,4.021
415
+ tension she faces disapproval and,1107.9,4.639
416
+ concern yes that is the debate perfect,1109.94,4.979
417
+ weighing the options Cornelia considers,1112.539,4.661
418
+ the consequences and the values she,1114.919,3.901
419
+ crosses the Rubicon she accepts her,1117.2,3.24
420
+ mentor's offer,1118.82,5.58
421
+ there we go much better,1120.44,8.16
422
+ excellent much better okay let's take,1124.4,8.7
423
+ that exact outline of 12 chapters and,1128.6,6.42
424
+ expand on,1133.1,6.72
425
+ um the details uh for each one let's,1135.02,6.18
426
+ start,1139.82,2.52
427
+ um,1141.2,3.479
428
+ uh let's start by so this is what I,1142.34,5.82
429
+ found chat GPT has the best is once you,1144.679,5.281
430
+ have the chapter then you say give me,1148.16,4.019
431
+ the scenes in the chapter and honestly,1149.96,3.9
432
+ this is not a bad way for humans to,1152.179,3.141
433
+ outline it too,1153.86,4.679
434
+ let's start by expanding,1155.32,4.06
435
+ um,1158.539,5.701
436
+ uh the list uh with scenes so each,1159.38,9.419
437
+ chapter should be between one and uh,1164.24,9.08
438
+ let's say three or four uh scenes,1168.799,9.601
439
+ I think most chapters in novels are,1173.32,6.7
440
+ one to three,1178.4,3.6
441
+ so that's fine,1180.02,2.88
442
+ um,1182.0,2.58
443
+ so given,1182.9,3.3
444
+ this,1184.58,2.9
445
+ please,1186.2,6.18
446
+ restate the chapters but expand upon,1187.48,8.559
447
+ them by listing listing out and,1192.38,5.46
448
+ describing,1196.039,4.581
449
+ scenes,1197.84,2.78
450
+ um yeah all right let's see if it can,1201.26,3.74
451
+ handle that,1202.64,2.36
452
+ do yeah so again you can tell that there,1205.82,6.9
453
+ is that I as an expert am providing a,1209.299,5.341
454
+ lot of structure and guidance to this so,1212.72,4.459
455
+ that's fine,1214.64,2.539
456
+ Cornelia and her family are shown,1219.26,2.46
457
+ struggling in their daily life,1220.52,3.48
458
+ showcasing this blah blah okay so it's,1221.72,4.079
459
+ just defaulting to two scenes that's,1224.0,3.12
460
+ fine,1225.799,4.681
461
+ um certainly uh for for more amateur,1227.12,5.4
462
+ writers just following something more,1230.48,4.079
463
+ algorithmic like this is perfectly fine,1232.52,4.2
464
+ I mean you hear me talking about you,1234.559,3.541
465
+ know the three-act structure and Joseph,1236.72,3.78
466
+ Campbell and and that so on and so forth,1238.1,4.86
467
+ so I can I there there was someone had,1240.5,5.299
468
+ it wrote a comment like was it my my my,1242.96,5.839
469
+ University literature Professor,1245.799,5.38
470
+ complained that they have spent the last,1248.799,4.361
471
+ 30 years trying to undo the damage that,1251.179,4.74
472
+ Joseph Campbell did and it's like you,1253.16,4.56
473
+ know what Joseph Campbell's work has,1255.919,4.741
474
+ produced many billion dollar movies so,1257.72,4.14
475
+ you know,1260.66,2.94
476
+ um if you watch the special features of,1261.86,4.5
477
+ Avengers end game actually there's a or,1263.6,4.8
478
+ maybe it was um Iron Man,1266.36,4.38
479
+ one of them anyways so in the special,1268.4,4.68
480
+ features of some of the MCU movies near,1270.74,4.5
481
+ the end of phase four,1273.08,4.32
482
+ um they had a round table with all of,1275.24,5.04
483
+ the directors and they kept alluding to,1277.4,5.34
484
+ the old book and I'm like hmm I wonder,1280.28,4.44
485
+ if that's the hero's journey,1282.74,3.78
486
+ because if you if you're familiar with,1284.72,3.36
487
+ the hero's journey and Joseph Campbell's,1286.52,3.659
488
+ work you watch,1288.08,4.32
489
+ um you know particularly,1290.179,4.561
490
+ um the Iron Man movies and the Avenger,1292.4,3.6
491
+ movies,1294.74,4.98
492
+ um they very very algorithmically follow,1296.0,6.0
493
+ um those kinds of things,1299.72,7.26
494
+ oh okay so there we go we're almost done,1302.0,7.32
495
+ we've got two scenes for each one that's,1306.98,3.78
496
+ fine,1309.32,3.239
497
+ she confides on a close friend or,1310.76,3.299
498
+ sibling so it's still it's still kind of,1312.559,3.061
499
+ waffling like it's it's being kind of,1314.059,6.181
500
+ generic but given how long this is and,1315.62,6.179
501
+ and the fact that it's it's staying on,1320.24,3.0
502
+ the plot,1321.799,4.081
503
+ um is is pretty impressive,1323.24,4.679
504
+ um I really like this,1325.88,4.88
505
+ okay cool,1327.919,2.841
506
+ um,1331.82,2.88
507
+ I'm gonna go ahead and copy this out,1333.02,6.18
508
+ actually because this is really good,1334.7,8.099
509
+ so we come back here so act one,1339.2,5.76
510
+ um so then we'll do uh let's see,1342.799,5.12
511
+ chapters,1344.96,2.959
512
+ uh let's see,1349.78,6.34
513
+ unformatted text there we go,1353.02,4.48
514
+ um let's see how long are we at we're,1356.12,3.24
515
+ only at 22 minutes we can keep going we,1357.5,3.6
516
+ can keep going,1359.36,3.96
517
+ um let's see where should we go next,1361.1,6.42
518
+ okay where should we go next,1363.32,8.04
519
+ um what do you think what typically goes,1367.52,7.74
520
+ into planning scenes all right so let's,1371.36,5.88
521
+ see let's see if it knows now that you,1375.26,3.419
522
+ have a detailed outline for act one you,1377.24,3.66
523
+ can consider moving on to planning Act 2,1378.679,3.781
524
+ and act three however if you prefer to,1380.9,3.54
525
+ focus on act one for now you can delve,1382.46,3.78
526
+ in deeper into the planning of the,1384.44,3.66
527
+ scenes,1386.24,3.36
528
+ um let's see when planning scenes,1388.1,3.059
529
+ consider the following aspect's purpose,1389.6,3.72
530
+ ensure each scene has a clear purpose in,1391.159,3.601
531
+ advancing the plot developing characters,1393.32,3.839
532
+ or building the world,1394.76,4.74
533
+ um setting okay yep choose an,1397.159,5.181
534
+ appropriate setting,1399.5,2.84
535
+ characters okay so this is this is,1403.58,5.219
536
+ pretty generic but it's good in order to,1406.1,5.4
537
+ remind itself because there's um so,1408.799,4.86
538
+ there's this concept in Neuroscience,1411.5,5.34
539
+ called priming I'm actually reading,1413.659,5.4
540
+ this book behave,1416.84,4.26
541
+ um it is a very dense book but it's,1419.059,4.141
542
+ actually hilarious the dude who wrote it,1421.1,4.199
543
+ is sarcastic as hell,1423.2,6.78
544
+ um anyways so even just reading words of,1425.299,7.441
545
+ a particular tone can really drastically,1429.98,4.62
546
+ change your cognition and decisions and,1432.74,4.2
547
+ behavior the same is also true of,1434.6,4.62
548
+ language models just by priming it with,1436.94,4.2
549
+ some ideas like when I said think about,1439.22,4.439
550
+ Joseph Campbell and what goes into an,1441.14,4.32
551
+ act one and you saw how much it improved,1443.659,5.221
552
+ so this is called priming so a big part,1445.46,7.079
553
+ of using language models is priming,1448.88,7.5
554
+ um great cool so,1452.539,3.841
555
+ um,1456.74,3.72
556
+ I like that,1458.419,3.541
557
+ uh,1460.46,5.64
558
+ let's start with chapter one please,1461.96,8.339
559
+ write out a much more detailed outline,1466.1,6.9
560
+ of chapter one,1470.299,4.821
561
+ um,1473.0,2.12
562
+ after one the desperate decision,1478.4,4.38
563
+ scene one introducing Cornelia the story,1480.62,3.539
564
+ opens with Cornelia and her family's,1482.78,2.519
565
+ modest home providing a brief,1484.159,2.88
566
+ description of her parents and,1485.299,4.921
567
+ personality again this is all kind of uh,1487.039,4.921
568
+ algorithmic,1490.22,4.5
569
+ um if you open it this way like so if,1491.96,5.4
570
+ you if you describe the main character's,1494.72,5.64
571
+ personality or show it right off the bat,1497.36,5.52
572
+ that's going to be a little bit like,1500.36,4.74
573
+ kind of on the nose,1502.88,4.56
574
+ um whereas like you you definitely,1505.1,4.52
575
+ should demonstrate your main character,1507.44,4.619
576
+ in the first chapter,1509.62,4.78
577
+ but if you just describe it with an info,1512.059,5.041
578
+ dump that's not the best,1514.4,5.3
579
+ um let's see,1517.1,2.6
580
+ I moved on to Scene Three,1521.9,6.92
581
+ deciding to sell the heirloom,1525.14,3.68
582
+ yeah we didn't we didn't go that far,1533.059,6.061
583
+ I like that it invented the name okay,1536.72,3.959
584
+ well searching for something valuable to,1539.12,3.419
585
+ sell she discovers the family's heirloom,1540.679,3.6
586
+ okay but that doesn't happen until,1542.539,4.52
587
+ chapter two,1544.279,2.78
588
+ um,1547.46,2.18
589
+ so it looks like it looks like we need,1555.86,4.88
590
+ to prime it again,1557.779,2.961
591
+ here so we'll do we'll come back here,1562.7,6.12
592
+ and say uh out after outline of chapter,1565.299,4.781
593
+ one,1568.82,3.18
594
+ um as a reminder,1570.08,5.76
595
+ here is the grand totality of chapter,1572.0,8.419
596
+ one that we've discussed so far,1575.84,4.579
597
+ please stay Within,1581.679,6.961
598
+ the bounds of chapter one,1584.6,4.04
599
+ okay now please expand this brief,1591.74,9.72
600
+ outline into a more detailed outline so,1596.779,6.301
601
+ you might have noticed that sometimes,1601.46,3.78
602
+ what I'm doing is I'm rewriting the last,1603.08,4.44
603
+ one because what you want is if it gets,1605.24,3.78
604
+ something catastrophically wrong like,1607.52,3.48
605
+ this you want to remove it from the chat,1609.02,3.659
606
+ history because otherwise you end up,1611.0,3.36
607
+ with what's called prompt contamination,1612.679,3.841
608
+ remember how I just talked about priming,1614.36,4.62
609
+ priming works both ways it can be,1616.52,4.38
610
+ positive in that you can prime the model,1618.98,4.02
611
+ to think in the way that you want it to,1620.9,4.5
612
+ but if it has wrong information in the,1623.0,4.08
613
+ history that's going to continue,1625.4,4.56
614
+ polluting it and human like humans can,1627.08,4.5
615
+ get stuck in a rut like this too right,1629.96,3.9
616
+ remember like if you're ever having a,1631.58,3.599
617
+ discussion or you're in a meeting or,1633.86,3.179
618
+ whatever and you get the wrong idea in,1635.179,3.181
619
+ your head it can be really hard to get,1637.039,3.481
620
+ out of that rut so in that case it's,1638.36,4.14
621
+ actually kind of similar to humans one,1640.52,3.539
622
+ advantage that these models have is you,1642.5,3.24
623
+ can just flat out erase the wrong,1644.059,4.941
624
+ information from its memory,1645.74,3.26
625
+ okay so let's see if it does a little,1649.4,6.5
626
+ bit better this time also I'm uh,1651.559,4.341
627
+ uh I'm still contending with burnout,1657.2,5.339
628
+ myself and so I um I probably shouldn't,1658.82,5.219
629
+ be doing this right now but it's just,1662.539,3.361
630
+ too exciting,1664.039,4.801
631
+ okay I like this description of the,1665.9,4.86
632
+ modest home with her family highlighting,1668.84,2.819
633
+ contrast between their current,1670.76,3.0
634
+ circumstances and their once prosperous,1671.659,4.5
635
+ past there we go Cornell helps her,1673.76,4.019
636
+ mother with chores revealing her dutiful,1676.159,2.941
637
+ nature and her desire to contribute to,1677.779,4.801
638
+ the family oh that's good so this is,1679.1,6.0
639
+ showing instead of telling much much,1682.58,5.28
640
+ better so remember when it when the last,1685.1,4.319
641
+ time it was like oh we're just gonna,1687.86,4.199
642
+ tell you about her personality no wrong,1689.419,5.221
643
+ you show their personality and so you,1692.059,4.321
644
+ you show that she's helping her mother,1694.64,3.72
645
+ with chores you show that she's,1696.38,4.62
646
+ bickering with her siblings,1698.36,5.04
647
+ um you show them talking about how,1701.0,3.659
648
+ things used to be,1703.4,2.7
649
+ great,1704.659,2.941
650
+ um Cornelius father returns looking,1706.1,3.0
651
+ weary and defeated the family gathers,1707.6,3.9
652
+ for a simple Frugal meal highlighting,1709.1,4.98
653
+ their financial difficulties this is,1711.5,4.14
654
+ phenomenal,1714.08,3.599
655
+ um I'm gonna call this a day because,1715.64,4.26
656
+ holy crap,1717.679,4.801
657
+ um this is this is exciting and just to,1719.9,5.46
658
+ think that chat GPT just came out a few,1722.48,5.04
659
+ months ago that was what four months ago,1725.36,5.46
660
+ and we're already what quadrupling going,1727.52,7.32
661
+ from 8 000 tokens to 32 000 tokens,1730.82,7.5
662
+ uh this this poll that I did AGI this,1734.84,6.18
663
+ year yeah tell me what you think now,1738.32,7.94
664
+ all right that's it wrapping it up bye,1741.02,5.24
Forever Jobs AGI and Singularity Proof Occupations plus a few that SHOULD go away_transcript.csv ADDED
@@ -0,0 +1,1233 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.24,3.06
3
+ with another video,2.04,3.36
4
+ so I've been on a kick lately where I'm,3.3,4.799
5
+ talking about Universal basic income and,5.4,5.819
6
+ post-labor economics and and that sort,8.099,5.7
7
+ of stuff and one question that came up,11.219,5.281
8
+ and it was a really good question uh in,13.799,5.161
9
+ a previous video I think I think people,16.5,5.279
10
+ are starting to realize the capabilities,18.96,5.52
11
+ and the shifts that are coming and so,21.779,4.621
12
+ someone said okay well like we agree,24.48,4.619
13
+ with your methodology more or less you,26.4,4.56
14
+ know obviously nothing is perfect and,29.099,3.901
15
+ like you know I'm forging ahead as fast,30.96,4.8
16
+ as possible but he said like okay so how,33.0,5.219
17
+ can we determine the jobs that will stay,35.76,5.58
18
+ so I wanted to spend a a little bit of,38.219,6.0
19
+ time exploring specifically automation,41.34,5.1
20
+ resistant occupations so these are jobs,44.219,5.16
21
+ that no matter how good AGI and robots,46.44,6.06
22
+ get they may never go away,49.379,5.82
23
+ um real quick plug for my patreon,52.5,5.28
24
+ um the low tier uh the five dollar tier,55.199,5.34
25
+ gets you access to Discord uh where we,57.78,7.559
26
+ often hang out and so on the other uh uh,60.539,7.561
27
+ tiers the 50 tier is you know I've got,65.339,5.401
28
+ some private channels set up for uh for,68.1,4.68
29
+ direct chat and then I do actually have,70.74,4.8
30
+ a couple of my 300 tiers which allow for,72.78,6.42
31
+ uh one-on-one consultations so uh moving,75.54,5.16
32
+ right along,79.2,5.4
33
+ basically AGI is coming we know that,80.7,5.58
34
+ machines are getting exponentially,84.6,4.32
35
+ smarter very quickly uh to the to the,86.28,6.54
36
+ point that uh 32 000 people signed a,88.92,6.379
37
+ petition saying stop progress,92.82,5.759
38
+ uh and it was taken seriously apparently,95.299,5.741
39
+ uh you know not not that moratoriums are,98.579,5.58
40
+ in place but uh politicians and,101.04,5.16
41
+ governments around the world are taking,104.159,3.841
42
+ the the thing seriously and they're,106.2,3.3
43
+ saying okay we need to innovate what we,108.0,2.939
44
+ need to do it safely,109.5,4.259
45
+ uh you know you look at at the the,110.939,5.04
46
+ latest uh version of mid-journey and,113.759,4.741
47
+ stable diffusion and like if you showed,115.979,4.14
48
+ this to me and said that this was a,118.5,4.979
49
+ photograph from the 70s I I personally,120.119,6.241
50
+ could not have told you that it wasn't,123.479,4.801
51
+ except probably that there's no camera,126.36,4.679
52
+ in the reflection of her sunglasses,128.28,4.74
53
+ um but like this is this is computer,131.039,5.221
54
+ generated and so you look at the the,133.02,5.78
55
+ ramp up of just the digital capacities,136.26,5.58
56
+ if we assume that also robotic,138.8,4.659
57
+ capacities are going to follow suit,141.84,4.08
58
+ eventually that basically we end up with,143.459,4.381
59
+ you know commander data and Westworld,145.92,4.5
60
+ style hosts that are pretty much,147.84,5.039
61
+ indistinguishable from Human but still,150.42,4.679
62
+ superhuman like in terms of strength,152.879,4.381
63
+ intelligence agility so on and so forth,155.099,5.22
64
+ then basically we're going to the,157.26,6.18
65
+ assumption that I'm making is that AGI,160.319,5.041
66
+ will be intellectually morally ethically,163.44,4.019
67
+ and creatively Superior to humans in,165.36,4.56
68
+ every conceivable way in the not too,167.459,3.721
69
+ distant future,169.92,4.02
70
+ likewise I'm making the assumption that,171.18,6.0
71
+ robots are going to be uh dexterous,173.94,6.54
72
+ hyper realistic and as I said superhuman,177.18,5.1
73
+ but in some cases completely,180.48,4.02
74
+ indistinguishable from humans,182.28,3.84
75
+ um unless they are designed to not look,184.5,3.18
76
+ human and of course like there's been,186.12,3.6
77
+ talks about like maybe you require that,187.68,3.9
78
+ all robots have like you know a red,189.72,3.36
79
+ light on their head or something I don't,191.58,2.18
80
+ know,193.08,3.9
81
+ anyways the point being is that human,193.76,5.619
82
+ labor is going to become economically,196.98,5.16
83
+ irrelevant let me say that again the the,199.379,5.881
84
+ economic value of human labor is going,202.14,5.94
85
+ to be zero uh before too long now that,205.26,6.66
86
+ being said like okay like I you know I,208.08,5.579
87
+ was saying there are some jobs that,211.92,3.0
88
+ people are going to continue to pay for,213.659,3.901
89
+ and I'll Define that in just a second,214.92,4.98
90
+ um but I want to unpack kind of the,217.56,4.14
91
+ economic Paradigm that's coming and of,219.9,3.3
92
+ course there's the the tongue-in-cheek,221.7,3.0
93
+ you know fully automated luxury space,223.2,3.72
94
+ communism I do believe that that's,224.7,3.84
95
+ actually coming especially when you look,226.92,4.2
96
+ at hyper hyperabundance of energy with,228.54,5.04
97
+ Fusion uh the breakthroughs with Quantum,231.12,4.259
98
+ Computing that's happening the,233.58,4.86
99
+ exponential ramp up of AI uh Microsoft,235.379,5.881
100
+ just I think it was Microsoft they just,238.44,4.68
101
+ announced that they want to,241.26,5.22
102
+ um to do the next 250 years of Material,243.12,5.699
103
+ Science in the next 25 years with the,246.48,3.839
104
+ combination of artificial intelligence,248.819,3.181
105
+ and Quantum computing,250.319,4.741
106
+ like that is literally Sacha Nadella,252.0,4.919
107
+ basically saying that he wants to do the,255.06,4.38
108
+ ramp up to the singularity because guess,256.919,4.681
109
+ what happens in 25 years,259.44,5.22
110
+ we are almost exactly 25 years away from,261.6,5.22
111
+ Ray kurzweil's uh prediction of the,264.66,4.259
112
+ singularity,266.82,5.64
113
+ um yeah so like what happens then,268.919,5.641
114
+ if the marginal cost of pretty much all,272.46,3.42
115
+ everything that you need drops to,274.56,3.54
116
+ basically zero then like it almost,275.88,4.02
117
+ doesn't even make sense for companies to,278.1,3.36
118
+ exist so I was talking with someone,279.9,3.299
119
+ about this like what if the marginal,281.46,4.32
120
+ cost of Health Care drops to like five,283.199,4.861
121
+ dollars per year in in terms of current,285.78,5.88
122
+ economic uh US Dollars like if if the,288.06,5.46
123
+ total cost of your health care drops to,291.66,3.42
124
+ five dollars a year,293.52,3.66
125
+ it's not profitable for a company to do,295.08,3.24
126
+ it so you might as well just have the,297.18,2.64
127
+ government pay for it,298.32,3.78
128
+ um because it's practically free ditto,299.82,5.939
129
+ for food housing uh other basic goods,302.1,5.9
130
+ and services internet electricity,305.759,4.201
131
+ obviously there's always going to be,308.0,3.88
132
+ some desirable luxury goods that you'll,309.96,4.5
133
+ need to pay for uh but that's a that's a,311.88,4.92
134
+ conversation for a different story,314.46,3.48
135
+ um or a different video or whatever,316.8,3.24
136
+ anyways so just kind of setting the,317.94,3.72
137
+ stage a little bit more,320.04,3.48
138
+ I was listening to the uh Mark,321.66,3.539
139
+ Andreessen and Lex Friedman podcast,323.52,4.08
140
+ which was really good by the way and one,325.199,4.261
141
+ of the things that he talked about and I,327.6,4.62
142
+ I I knew of this thing but I he,329.46,5.64
143
+ articulated it in such a way that was,332.22,4.68
144
+ just like oh that's super clear and it,335.1,3.599
145
+ makes sense and they were talking about,336.9,3.78
146
+ the lump of Labor fallacy which is the,338.699,6.481
147
+ idea that uh that the incorrect,340.68,6.42
148
+ assumption that there's only a finite,345.18,3.359
149
+ amount of Labor to go around and that,347.1,3.36
150
+ once you automate it all away you get,348.539,3.841
151
+ that fully automated uh luxury space,350.46,4.86
152
+ communism and so but the what he,352.38,5.099
153
+ explained was and I had to look this up,355.32,3.659
154
+ to make sure that that I had it right,357.479,5.28
155
+ but that the the reason that quote,358.979,5.761
156
+ technology always creates new jobs it's,362.759,3.541
157
+ not that technology creates new jobs,364.74,3.299
158
+ what actually happens from an economic,366.3,4.32
159
+ perspective is that technology reduces,368.039,5.701
160
+ the cost of goods and services uh the,370.62,4.68
161
+ cost of clothing goes down the cost of,373.74,3.12
162
+ food goes down especially when you look,375.3,4.619
163
+ at the Industrial Revolution so when the,376.86,5.399
164
+ cost of your basic necessities and other,379.919,5.101
165
+ goods and services goes down your dollar,382.259,5.761
166
+ goes further meaning that you have uh,385.02,4.92
167
+ increased buying power to allocate your,388.02,3.959
168
+ money to other things so your AG,389.94,4.68
169
+ consumer aggregate demand goes up,391.979,3.84
170
+ elsewhere,394.62,3.72
171
+ and so when you reallocate that money to,395.819,5.521
172
+ other needs and wants then you basically,398.34,5.16
173
+ create new Industries,401.34,5.1
174
+ based on consumer demand so that's how I,403.5,4.5
175
+ approach this problem as I said okay,406.44,5.759
176
+ let's let's throw out AGI capacity let's,408.0,6.0
177
+ throw out robots let's just assume that,412.199,2.94
178
+ they're going to be better than humans,414.0,3.66
179
+ in every conceivable way and in many,415.139,5.28
180
+ cases probably preferable to humans but,417.66,5.819
181
+ let's look at consumer demand for actual,420.419,5.161
182
+ humans so that's how I basically,423.479,4.201
183
+ approach this whole thing,425.58,6.32
184
+ um the other kind of political Mantra or,427.68,6.54
185
+ economic Mantra is that human demand is,431.9,4.299
186
+ infinite which definitely seems to be,434.22,5.58
187
+ true over the last century but the thing,436.199,5.22
188
+ is is that not all human needs are,439.8,4.2
189
+ infinite right just be like if food is,441.419,4.921
190
+ five dollars per year that doesn't mean,444.0,3.84
191
+ that you're going to eat infinitely more,446.34,3.84
192
+ food you have fixed amounts of things,447.84,4.62
193
+ that you need and also like if you have,450.18,4.32
194
+ one Mansion you don't necessarily need a,452.46,4.5
195
+ thousand Mansions right or if you you,454.5,4.139
196
+ know if I if my dream comes true and I,456.96,3.239
197
+ end up with a super yacht I don't need,458.639,5.821
198
+ 10 right just one will do uh so anyways,460.199,6.361
199
+ but that being said there is there's,464.46,4.2
200
+ always more that we want,466.56,3.84
201
+ um so what you could say is that human,468.66,4.62
202
+ desires might be infinite but I don't,470.4,4.079
203
+ even know if I agree with that because,473.28,3.0
204
+ eventually there is such a thing as as,474.479,3.241
205
+ good enough,476.28,3.78
206
+ all right so defining automation,477.72,4.319
207
+ resistant occupations,480.06,5.22
208
+ uh the I was able to kind of identify,482.039,4.921
209
+ six,485.28,4.56
210
+ um six categories or six dimensions that,486.96,5.1
211
+ might make an occupation resistant to,489.84,4.919
212
+ being destroyed by automation so first,492.06,5.22
213
+ is strong consumer preference so this is,494.759,3.72
214
+ what I was mentioning where it's just,497.28,3.539
215
+ for whatever reason humans want to pay,498.479,4.681
216
+ another human to do a thing,500.819,6.121
217
+ um now obviously like okay that's kind,503.16,5.34
218
+ of difficult it's like okay well what do,506.94,2.759
219
+ I want to pay a human to do and of,508.5,3.539
220
+ course some people uh in the comments,509.699,3.661
221
+ section say like there's nothing that,512.039,3.541
222
+ they want a human to do if you have AGI,513.36,4.14
223
+ and a realistic robot they say get rid,515.58,4.019
224
+ of humans out of my life,517.5,3.599
225
+ um which is fine some people might want,519.599,2.88
226
+ to live like that I might want to live,521.099,3.0
227
+ like that I don't know like I said in a,522.479,3.601
228
+ in a podcast like I would love to have,524.099,4.021
229
+ Commander Data as a friend,526.08,3.54
230
+ um because you know what humans can,528.12,4.32
231
+ sometimes be problematic uh intrinsic,529.62,5.64
232
+ human qualities so this is stuff that is,532.44,4.68
233
+ intrinsically human like basically,535.26,5.579
234
+ emotions uh human authenticity so this,537.12,5.52
235
+ is where it's come it comes more down to,540.839,4.381
236
+ The Human Experience no matter how good,542.64,5.4
237
+ an AI or a robot is at approximating or,545.22,4.619
238
+ pretending to be human it will never,548.04,4.44
239
+ have a truly Human Experience and so in,549.839,5.221
240
+ some cases I want to hear about the,552.48,4.32
241
+ human experience that another person is,555.06,3.6
242
+ having and so that is what I mean by,556.8,3.18
243
+ authenticity,558.66,3.84
244
+ emotional resonance so this has to do,559.98,3.96
245
+ with you know the emotional aspect but,562.5,4.44
246
+ also the relational aspect because when,563.94,4.98
247
+ a machine exists and it can make itself,566.94,6.06
248
+ into any form factor to suit you then,568.92,6.18
249
+ it's like okay well you know that's easy,573.0,4.2
250
+ mode and that that's not necessarily a,575.1,3.239
251
+ bad thing you know there's plenty of,577.2,4.02
252
+ people out there uh who will choose to,578.339,5.341
253
+ have uh emotional connections to,581.22,5.34
254
+ machines and that's fine I honestly,583.68,4.92
255
+ don't have any uh particular issue with,586.56,3.3
256
+ that,588.6,2.7
257
+ um that being said there's going to be,589.86,4.14
258
+ people who prefer the real deal uh,591.3,4.08
259
+ cultural context so this was an,594.0,3.66
260
+ interesting thing as I was brainstorming,595.38,4.5
261
+ and researching this was uh it was,597.66,4.98
262
+ pointed out to me by chat gbt that in,599.88,5.399
263
+ many cases there is a strong belief that,602.64,5.34
264
+ humans must be involved in a thing uh,605.279,5.461
265
+ whether it's you know religion or or,607.98,5.7
266
+ whatever other cultural paradigms,610.74,5.64
267
+ ceremonial things where like say for,613.68,4.2
268
+ instance a wedding,616.38,4.38
269
+ if you did have a robot priest officiate,617.88,4.62
270
+ a wedding that might be a little bit,620.76,3.24
271
+ weird and you might prefer to have a,622.5,3.48
272
+ real human officiate your wedding just,624.0,3.72
273
+ as an example and then finally,625.98,3.24
274
+ intangibles,627.72,3.9
275
+ so these are things where there's not,629.22,5.22
276
+ really any uh compelling reason that a,631.62,4.92
277
+ machine couldn't do it but there can be,634.44,4.74
278
+ some intangible qualities or values,636.54,5.34
279
+ added from having a real human doing the,639.18,4.74
280
+ thing and we're going to unpack a whole,641.88,4.62
281
+ bunch of careers in just a second,643.92,4.26
282
+ um so actually yeah here we go we're,646.5,4.44
283
+ ready jobs that probably stay pretty,648.18,3.899
284
+ much forever,650.94,2.82
285
+ and one thing that I want to point out,652.079,5.581
286
+ is that uh in all of these cases the,653.76,5.819
287
+ basically the assumption is that a robot,657.66,4.739
288
+ or a machine or AGI could do it and,659.579,5.221
289
+ could do it better than humans but the,662.399,4.261
290
+ idea is that there will still be demand,664.8,4.56
291
+ consumer demand for humans to do these,666.66,4.799
292
+ things at least enough for some of the,669.36,4.02
293
+ jobs to stick around I'm not saying that,671.459,3.601
294
+ the entire economy is going to be these,673.38,3.6
295
+ jobs I still think that many people are,675.06,3.68
296
+ going to be just permanently out of work,676.98,5.76
297
+ and they'll find other stuff to do,678.74,6.82
298
+ um so musicians actors writers painters,682.74,6.599
299
+ uh artists celebrities of all kinds uh,685.56,6.839
300
+ Gamers streamers uh various kinds of,689.339,4.801
301
+ competitors like chess and American,692.399,3.081
302
+ Ninja,694.14,4.02
303
+ content creators lifestyle uh,695.48,5.32
304
+ communicators and influencers uh these,698.16,5.28
305
+ are the kinds of things that are uh,700.8,5.099
306
+ basically intrinsically human where you,703.44,4.5
307
+ know like yes you might have like a,705.899,4.62
308
+ robot actor or a robot you know an AI,707.94,4.62
309
+ streamer that you follow it's already,710.519,4.201
310
+ happening a lot of us are going to still,712.56,4.92
311
+ prefer just to see real humans some,714.72,5.4
312
+ people suspect that once like V tubers,717.48,5.88
313
+ or whatever become uh good enough that,720.12,5.88
314
+ like a lot of people won't care but you,723.36,4.08
315
+ know what I think I think that the,726.0,3.899
316
+ market uh will will probably fragment,727.44,4.5
317
+ around this or or there will be market,729.899,3.961
318
+ segments some people will just always,731.94,4.26
319
+ prefer the real thing right that being,733.86,4.86
320
+ said like we grew up with cartoons and,736.2,5.4
321
+ CGI stuff like we are used to engaging,738.72,6.42
322
+ with uh fake characters or or um not,741.6,5.52
323
+ fake but like synthesized right like,745.14,3.54
324
+ some of our favorite characters in all,747.12,3.6
325
+ time are video game characters which are,748.68,4.74
326
+ completely fabricated right uh now that,750.72,5.22
327
+ being said some of them uh do have face,753.42,5.34
328
+ models and voices from real people,755.94,5.94
329
+ um but that being said I think that uh,758.76,4.62
330
+ while we are comfortable with some level,761.88,5.699
331
+ of CGI and and synthesis I think that,763.38,5.94
332
+ there's going to be a persistent and,767.579,4.44
333
+ durable demand for the real deal,769.32,5.34
334
+ again in many cases humans are going to,772.019,6.241
335
+ go fully go away but I think that just,774.66,5.46
336
+ because we're humans the demand for,778.26,3.9
337
+ A-list celebrities we're gonna figure,780.12,4.62
338
+ that out it just as an example food and,782.16,4.14
339
+ Hospitality so this is the kind of thing,784.74,3.48
340
+ where a lot of people very much are,786.3,3.12
341
+ looking forward to having their own,788.22,3.9
342
+ personal robot Chef myself included I,789.42,5.58
343
+ like having nice food and I don't always,792.12,4.44
344
+ feel like cooking and even though I've,795.0,2.76
345
+ Gotten Good at cooking especially,796.56,3.36
346
+ because of the pandemic,797.76,4.379
347
+ um I would still prefer not to have to,799.92,5.64
348
+ do that myself now that being said,802.139,7.081
349
+ there is something very human and Primal,805.56,6.24
350
+ about a nice night out at a fancy,809.22,3.9
351
+ restaurant,811.8,2.94
352
+ um so because of that I think that,813.12,3.42
353
+ restaurants and everything that goes,814.74,4.56
354
+ with restaurants is going to stick,816.54,5.039
355
+ around uh because there's always people,819.3,4.56
356
+ going uh willing to pay for that kind of,821.579,5.041
357
+ experience even if it's rare or of,823.86,4.08
358
+ course there's there's probably always,826.62,2.76
359
+ going to be wealth disparity so there's,827.94,2.579
360
+ people that are going to prefer to eat,829.38,2.82
361
+ out every night and they're not going to,830.519,2.82
362
+ want to have a robot waiter they're,832.2,2.16
363
+ going to have want to have a real,833.339,4.74
364
+ sommelier uh another thing to consider,834.36,5.76
365
+ is that food is a very Human Experience,838.079,5.461
366
+ even if we have anthropomorphic machines,840.12,5.1
367
+ they won't need food the same way that,843.54,3.479
368
+ we do you know they're going to need,845.22,4.679
369
+ power and data but we need physical,847.019,5.641
370
+ sustenance we you know like getting a,849.899,5.341
371
+ buzz from having a glass of wine and so,852.66,4.739
372
+ because that experience is intrinsically,855.24,4.38
373
+ and deeply human there's going to be a,857.399,3.541
374
+ lot of people that will just always,859.62,3.659
375
+ prefer humans and I could imagine like,860.94,4.92
376
+ you know a a sign or part of the,863.279,3.901
377
+ advertising scheme of a restaurant,865.86,3.539
378
+ saying no robots allowed right you know,867.18,5.58
379
+ 100 human weight staff I can definitely,869.399,5.161
380
+ foresee that that happening in the,872.76,3.18
381
+ future because you know what like,874.56,3.54
382
+ there's some restaurants out there that,875.94,4.62
383
+ they switch to having like the the uh,878.1,4.5
384
+ the touch the touch pads like the order,880.56,4.56
385
+ yourself and like on the one hand I get,882.6,4.919
386
+ it like it's fast it's convenient but,885.12,3.839
387
+ it's also kind of like hey just Serve,887.519,4.141
388
+ Yourself you know peasant I'm like I,888.959,4.32
389
+ don't really like that feeling,891.66,4.26
390
+ um I like I like having uh having just,893.279,4.68
391
+ even if it's just 20 seconds to tell a,895.92,4.859
392
+ human my order or whatever,897.959,5.461
393
+ so anyways I I think because of all the,900.779,5.041
394
+ aspects of food and Hospitality there's,903.42,4.38
395
+ going to be a very persistent demand for,905.82,4.74
396
+ all kinds of jobs like concierge's like,907.8,5.64
397
+ Caterers nutritionists sommeliers,910.56,6.06
398
+ Baristas that sort of thing,913.44,5.579
399
+ um so this was another uh category that,916.62,4.44
400
+ I thought was kind of interesting which,919.019,4.801
401
+ is uh cultural and meaning roles and so,921.06,4.56
402
+ what I mean by a meaning role is these,923.82,4.8
403
+ are the people that are uh used to have,925.62,4.14
404
+ been would have been called like the,928.62,3.24
405
+ priest class or whatever these are the,929.76,4.8
406
+ Shepherds of society of of culture of,931.86,3.779
407
+ meaning,934.56,2.88
408
+ and of course like we don't have one,935.639,4.681
409
+ coherent structure uh in society today,937.44,5.16
410
+ because we have many religions we have,940.32,4.86
411
+ philosophers we have secularists we have,942.6,4.38
412
+ anthropologists,945.18,4.74
413
+ um that sort of thing but uh the idea,946.98,5.64
414
+ though is that the question of what it,949.92,4.44
415
+ means to be human is an intrinsically,952.62,3.839
416
+ human question and it also has to do,954.36,4.26
417
+ with our culture and so these are things,956.459,3.781
418
+ where it's just just by virtue of the,958.62,4.56
419
+ fact that this is that we are humans and,960.24,4.98
420
+ Only Humans will understand our,963.18,3.599
421
+ experience even if machines can,965.22,3.0
422
+ mathematically model our experience,966.779,3.481
423
+ because you can go talk to chat GPT,968.22,4.02
424
+ about the meaning of life right now and,970.26,3.24
425
+ it is capable of having that,972.24,2.94
426
+ conversation with you but you know that,973.5,3.18
427
+ you were talking with something that,975.18,2.7
428
+ does not have the same kind of,976.68,3.36
429
+ experience that you do,977.88,5.819
430
+ and so because of that uh you know the,980.04,6.9
431
+ the meaning of of humanity and of life,983.699,5.7
432
+ and that sort of stuff yes many people,986.94,4.62
433
+ including myself will talk to AGI and,989.399,5.161
434
+ robots about these kinds of things but,991.56,5.399
435
+ they're still an intrinsic human quality,994.56,4.62
436
+ to having that conversation with another,996.959,3.601
437
+ human,999.18,4.44
438
+ um particularly as uh you know new age,1000.56,4.68
439
+ religions and spirituality and,1003.62,3.659
440
+ psychedelic uh traditions and Shamanism,1005.24,6.18
441
+ uh come up you know like we we humans,1007.279,7.98
442
+ can have inexplicable experiences and we,1011.42,5.88
443
+ also have the the just deeply personal,1015.259,4.02
444
+ question of what is the purpose of my,1017.3,4.14
445
+ life or what is the meaning of existence,1019.279,4.141
446
+ that sort of stuff and that being said I,1021.44,3.3
447
+ am also one that will that that,1023.42,4.56
448
+ absolutely firmly believes that AGI will,1024.74,6.059
449
+ ultimately be asking similar questions,1027.98,4.979
450
+ um but even if we have the same question,1030.799,4.081
451
+ why do we exist what is the meaning of,1032.959,4.261
452
+ creation how did things come to be the,1034.88,4.02
453
+ way they are we're going to be,1037.22,3.239
454
+ approaching it from a different and,1038.9,4.799
455
+ subjective uh angle,1040.459,5.581
456
+ this one is something that I'm actually,1043.699,4.26
457
+ really dubious about and I'll talk about,1046.04,4.5
458
+ it again when I get to medicine at the,1047.959,5.041
459
+ end but mental emotional and relational,1050.54,7.62
460
+ Health in this case in many cases you,1053.0,8.28
461
+ probably will some people will prefer to,1058.16,6.54
462
+ have a real human you know talk about,1061.28,5.279
463
+ their you know talk to talk about their,1064.7,3.66
464
+ marriage with or to talk about you know,1066.559,4.441
465
+ their PTSD with or whatever,1068.36,5.76
466
+ but at the same time we have discovered,1071.0,6.48
467
+ that tools like chat GPT like the,1074.12,4.799
468
+ reflective journaling tool that I use,1077.48,3.96
469
+ almost every day is an incredibly,1078.919,5.101
470
+ powerful tool for mental emotional and,1081.44,5.76
471
+ relational Health in fact I the the the,1084.02,5.279
472
+ the reflective journaling tool that I,1087.2,5.219
473
+ created I use that more than I talked to,1089.299,5.461
474
+ like my wife now about these things I,1092.419,3.901
475
+ still talk to her about like you know,1094.76,3.0
476
+ what it is like what it is that we're,1096.32,2.7
477
+ going through and that we're working on,1097.76,3.779
478
+ and we talk about our relationship but,1099.02,4.8
479
+ this tool is also incredibly powerful,1101.539,4.981
480
+ and one thing that I just heard I I,1103.82,4.14
481
+ didn't I didn't find the study but I,1106.52,2.96
482
+ heard someone mention it on a podcast,1107.96,4.14
483
+ was that with um,1109.48,5.14
484
+ was it Sam Altman he I think he alluded,1112.1,5.4
485
+ to a study anyways what they what they,1114.62,4.679
486
+ have determined is that the current,1117.5,4.26
487
+ version of chat GPT the the most recent,1119.299,3.721
488
+ one,1121.76,4.14
489
+ um actually scores better on uh having,1123.02,5.399
490
+ lower implicit bias and explicit bias,1125.9,5.76
491
+ then even highly trained and highly,1128.419,5.161
492
+ conscientious humans,1131.66,3.899
493
+ and so this kind of touches on the fact,1133.58,4.8
494
+ that like okay humans are fallible and,1135.559,4.801
495
+ even the most well-intentioned most,1138.38,3.9
496
+ well-trained therapists and counselors,1140.36,4.08
497
+ and psychologists have their own biases,1142.28,3.899
498
+ whether it's bias from the medical,1144.44,3.239
499
+ establishment that they learned because,1146.179,3.36
500
+ that is certainly a thing you know I,1147.679,4.321
501
+ can't tell you the number of of uh of,1149.539,4.02
502
+ psychotherapists and stuff out there,1152.0,4.74
503
+ that that basically believe that CBT is,1153.559,4.5
504
+ the only thing that works and if it,1156.74,2.64
505
+ doesn't work for you then you're just,1158.059,4.201
506
+ lazy right and that's just a completely,1159.38,4.62
507
+ disingenuous and unprofessional position,1162.26,4.08
508
+ to have but plenty of them have that out,1164.0,3.62
509
+ there,1166.34,4.079
510
+ uh meanwhile on the other hand if you,1167.62,5.5
511
+ have a machine that is aware of these,1170.419,4.321
512
+ these faults and biases and that's not,1173.12,4.32
513
+ to say that GPT is perfect because,1174.74,4.799
514
+ certainly at a at a previous version it,1177.44,4.859
515
+ was incredibly ableist uh it basically,1179.539,5.0
516
+ presumes it kind of had inter,1182.299,4.5
517
+ internalized some of those ideas that,1184.539,3.701
518
+ like if you're struggling with,1186.799,3.181
519
+ relationships maybe you're the problem,1188.24,4.2
520
+ and it's not that like you know it,1189.98,3.72
521
+ basically wasn't aware of the social,1192.44,3.18
522
+ model of disability,1193.7,3.42
523
+ um I think it has gotten better at that,1195.62,4.2
524
+ anyways this is rapid this is rapidly,1197.12,4.679
525
+ iterating chat GPT has only been out for,1199.82,4.5
526
+ like about six months so you extrapolate,1201.799,5.101
527
+ this rate of progress out to years and,1204.32,4.859
528
+ decades we can assume that these,1206.9,3.42
529
+ machines are going to be much much,1209.179,4.201
530
+ better than humans uh at coaching other,1210.32,5.219
531
+ the machine is better at coaching humans,1213.38,4.02
532
+ through emotions mental and relationship,1215.539,2.88
533
+ Health,1217.4,3.779
534
+ um now that being said while I'm dubious,1218.419,5.101
535
+ about it I do suspect that many people,1221.179,4.561
536
+ will prefer humans and especially if,1223.52,5.58
537
+ humans are trained by AI I like you know,1225.74,4.98
538
+ these these Superior machines maybe,1229.1,4.68
539
+ humans will get better at their job uh I,1230.72,5.52
540
+ don't know but there's also uh privacy,1233.78,4.56
541
+ and stuff like that because the thing is,1236.24,5.04
542
+ is when you tell your you know pour out,1238.34,4.68
543
+ your heart to a therapist that you,1241.28,4.62
544
+ really hardly know like I don't know I,1243.02,4.2
545
+ just don't trust that that doesn't feel,1245.9,3.42
546
+ right to me right because that's not how,1247.22,3.72
547
+ humans have learned to process things,1249.32,4.14
548
+ that's not how we historically did it,1250.94,5.16
549
+ um and so but the advantage of having an,1253.46,4.38
550
+ AI therapist is that you can just delete,1256.1,3.84
551
+ the data,1257.84,4.44
552
+ physical health and well-being so this,1259.94,4.2
553
+ is again one of the kinds of things that,1262.28,4.46
554
+ yes a machine probably can do it better,1264.14,4.86
555
+ especially if we have like Westworld,1266.74,3.7
556
+ level hosts where they are,1269.0,4.86
557
+ indistinguishable from humans uh there,1270.44,5.7
558
+ will probably be such a high demand for,1273.86,4.08
559
+ the real deal,1276.14,3.419
560
+ um and I remember I think it was the,1277.94,3.359
561
+ opening scene of Westworld or the first,1279.559,3.961
562
+ episode where you know the the guest,1281.299,3.841
563
+ shows up and they're they're you know,1283.52,2.94
564
+ getting they're going through like the,1285.14,3.419
565
+ onboarding thing and the super,1286.46,5.04
566
+ attractive uh woman offers to have sex,1288.559,4.441
567
+ with you know because the guy's asking,1291.5,3.299
568
+ like hey can I have sex with like any,1293.0,3.84
569
+ host that I want and she's like yeah,1294.799,3.901
570
+ more or less and she's like I can have,1296.84,3.54
571
+ sex with you too if you want and he's,1298.7,3.959
572
+ like are you real and she said like why,1300.38,4.44
573
+ would it matter or or she'd ask like,1302.659,3.601
574
+ would it matter and of course like,1304.82,3.3
575
+ that's the central theme at least of the,1306.26,4.62
576
+ first season of Westworld which is does,1308.12,5.76
577
+ does Being Human matter if you have real,1310.88,5.46
578
+ suffering or real intelligence or real,1313.88,5.82
579
+ uh experiences and that sort of thing so,1316.34,5.699
580
+ in anyways I do suspect some people will,1319.7,4.5
581
+ prefer robots again for some of the same,1322.039,3.961
582
+ reasons that I just mentioned about like,1324.2,3.839
583
+ therapy and stuff but I think that,1326.0,3.059
584
+ there's going to be plenty of people,1328.039,3.301
585
+ that will just prefer the real deal for,1329.059,3.421
586
+ a massage therapists and personal,1331.34,2.88
587
+ trainers and yoga instructors it,1332.48,3.24
588
+ occurred to me that a robot yoga,1334.22,3.839
589
+ instructor might be super unfair,1335.72,4.92
590
+ because like they don't have to work for,1338.059,5.041
591
+ the flexibility right like their body is,1340.64,5.58
592
+ designed to be perfect and and good,1343.1,5.04
593
+ um now that being said if they're a,1346.22,3.48
594
+ better yoga instructor some people might,1348.14,3.24
595
+ prefer that so again some of these jobs,1349.7,4.08
596
+ will go away but the point is is that,1351.38,4.919
597
+ some consumers will demand to have a,1353.78,4.139
598
+ real human,1356.299,5.101
599
+ so this one is uh a little bit spicier,1357.919,4.74
600
+ um but you know,1361.4,4.2
601
+ uh sex workers of all Stripes adult,1362.659,6.0
602
+ content creators burlesque exotic uh,1365.6,5.699
603
+ dancers strippers that sort of stuff,1368.659,5.821
604
+ um again like this is something that I'm,1371.299,5.641
605
+ not necessarily that dubious on we see,1374.48,6.66
606
+ with the rise of CGI and uh generative,1376.94,7.08
607
+ AI art that like the appetite for porn,1381.14,6.0
608
+ is just basically infinite going back to,1384.02,5.94
609
+ earlier in the video uh now that being,1387.14,6.6
610
+ said I suspect that there will also be a,1389.96,7.86
611
+ uh a very durable demand for real humans,1393.74,6.299
612
+ right real bodies,1397.82,4.02
613
+ um the ethics of that are kind of,1400.039,4.02
614
+ dubious right like I'm more in the like,1401.84,4.26
615
+ libertarian Camp not hardcore,1404.059,4.561
616
+ libertarian but like you know if if,1406.1,4.26
617
+ someone wants to do a job and they do it,1408.62,3.96
618
+ safely and they do it ethically go for,1410.36,3.42
619
+ it,1412.58,5.94
620
+ um and there was a there's a few,1413.78,5.34
621
+ um,1418.52,3.3
622
+ let's say not experiences I have had but,1419.12,4.62
623
+ like thought experiments,1421.82,3.359
624
+ um well I'll just talk about this one so,1423.74,3.6
625
+ like in Blade Runner 2049,1425.179,5.88
626
+ uh the the uh protagonist's AI,1427.34,6.24
627
+ girlfriend is she's just a hologram she,1431.059,3.961
628
+ doesn't have a physical body and so one,1433.58,3.36
629
+ thing that she does is she hires a human,1435.02,3.96
630
+ prostitute to have sex with him while,1436.94,4.02
631
+ she like projects her hologram over her,1438.98,4.04
632
+ which I think was a pretty cool thing,1440.96,6.36
633
+ and like that that scene being wedged,1443.02,6.399
634
+ into the movie kind of brings up the,1447.32,5.16
635
+ same question about uh you know like,1449.419,5.341
636
+ would it matter if it's a human or not,1452.48,4.679
637
+ and there was a there was an episode of,1454.76,5.159
638
+ a philosophy podcast I think the name of,1457.159,5.581
639
+ the podcast was very bad wizards but the,1459.919,4.201
640
+ one of the things that they asked was,1462.74,3.299
641
+ like okay for the sake of this thought,1464.12,3.419
642
+ experiment this is what I was trying to,1466.039,2.76
643
+ get to early for the sake of this,1467.539,2.88
644
+ thought experiment imagine that you can,1468.799,4.561
645
+ build a machine a robot that is,1470.419,5.461
646
+ indistinguishable from humans has an,1473.36,4.799
647
+ actual sentient experience and is,1475.88,5.1
648
+ designed to want to be abused like and I,1478.159,3.841
649
+ was just like that's a really,1480.98,2.939
650
+ interesting thought experiment,1482.0,3.419
651
+ um and there are certainly people that,1483.919,4.201
652
+ would uh that would apprec that would in,1485.419,5.88
653
+ that would indulge in that kind of,1488.12,7.2
654
+ experience uh and you know I'm still I'm,1491.299,5.701
655
+ still kind of like I'm not sure how to,1495.32,3.18
656
+ approach that it was a very interesting,1497.0,2.88
657
+ episode,1498.5,4.679
658
+ um moving right along uh craftsmanship,1499.88,5.58
659
+ and handmade luxury goods so this is,1503.179,4.801
660
+ something that we already see durable,1505.46,3.839
661
+ demand for,1507.98,4.62
662
+ particularly in the 80s and 90s as mass,1509.299,6.12
663
+ production of everything started ramping,1512.6,4.439
664
+ up and we started offshoring,1515.419,4.821
665
+ manufacturing jobs uh you know cheap,1517.039,6.241
666
+ overseas Goods like we got tired of that,1520.24,6.1
667
+ real fast and this is why Etsy exists,1523.28,5.879
668
+ right is because there is such a,1526.34,6.24
669
+ permanent durable demand for handmade,1529.159,5.581
670
+ luxury goods I don't think that's ever,1532.58,5.219
671
+ going away even if robots can make,1534.74,6.96
672
+ handmade luxury goods I I don't think,1537.799,6.24
673
+ that I think that having knowing that,1541.7,4.44
674
+ another human put their time into,1544.039,3.181
675
+ something,1546.14,2.46
676
+ I I think that that's going to,1547.22,3.3
677
+ intrinsically always be valuable to us,1548.6,3.24
678
+ and that's what I mean by like,1550.52,3.899
679
+ intangible like you could have a,1551.84,5.1
680
+ handmade uh you know knife like chef's,1554.419,3.841
681
+ knife that was made by hand and you,1556.94,3.599
682
+ could have an identical one made by a,1558.26,3.539
683
+ machine and you're still going to prefer,1560.539,3.181
684
+ the one that was made by a human because,1561.799,5.101
685
+ of that intangible value uh knowing that,1563.72,5.459
686
+ another human put their hands on it and,1566.9,4.2
687
+ put their time and expertise and their,1569.179,5.221
688
+ ex and their Mastery into that thing so,1571.1,4.86
689
+ I don't feel like I don't have to spend,1574.4,2.639
690
+ too much time talking about this one,1575.96,2.52
691
+ because like just look at the economic,1577.039,3.24
692
+ model of etsy and the fact that there,1578.48,4.14
693
+ are plenty of of creators out there who,1580.279,6.301
694
+ make a living on luxury goods that there,1582.62,7.32
695
+ really is no economic reason for it but,1586.58,5.52
696
+ it is purely a Sentimental or intangible,1589.94,4.92
697
+ reason that that exists,1592.1,5.34
698
+ fashion and Aesthetics so this was an,1594.86,4.199
699
+ interesting one that uh that I came up,1597.44,4.14
700
+ with actually uh Chad GPT didn't even,1599.059,4.081
701
+ touch on this,1601.58,3.9
702
+ um but basically when you look at at,1603.14,4.32
703
+ fashion and Aesthetics and by when I say,1605.48,3.6
704
+ Aesthetics I mean,1607.46,4.319
705
+ um models interior designers decorators,1609.08,5.4
706
+ that sort of stuff uh this is something,1611.779,5.161
707
+ that there in in many of those,1614.48,5.22
708
+ Industries there is a very very strong,1616.94,4.859
709
+ desire for authenticity now that being,1619.7,4.02
710
+ said there are also plenty of of them,1621.799,4.681
711
+ that uh expect cosmetic surgery like,1623.72,4.74
712
+ breast augmentation and liposuction and,1626.48,4.799
713
+ and makeup and that sort of stuff but in,1628.46,4.38
714
+ many of these industries there are,1631.279,4.561
715
+ trends for authenticity uh you know,1632.84,4.68
716
+ selecting for women that don't have,1635.84,3.959
717
+ breast augmentation or liposuction,1637.52,4.019
718
+ um there are even magazines that ban,1639.799,5.641
719
+ Cosmetics let alone uh computer touching,1641.539,6.24
720
+ up images via computer that being said,1645.44,3.78
721
+ there's plenty of people that use the,1647.779,3.061
722
+ automatic you know filters for,1649.22,2.76
723
+ everything now,1650.84,5.12
724
+ I suspect that with the rise of AI,1651.98,6.6
725
+ generated images it's like yes there is,1655.96,4.3
726
+ something that is aesthetically perfect,1658.58,5.04
727
+ about you know this uh you know CGI,1660.26,5.94
728
+ model this computer AI model but then,1663.62,4.08
729
+ it's just like I don't know about I,1666.2,2.76
730
+ don't know about anyone else but like I,1667.7,2.52
731
+ got tired of that real fast it's like,1668.96,3.0
732
+ okay I know that this is this is not a,1670.22,2.88
733
+ real person,1671.96,2.4
734
+ um and so it goes back to that,1673.1,3.78
735
+ intangible value of human Aesthetics of,1674.36,4.98
736
+ knowing that you're like whether it's uh,1676.88,4.26
737
+ you know a dress that was actually made,1679.34,4.38
738
+ by a real human uh and worn by a real,1681.14,4.8
739
+ human there's just something more,1683.72,4.319
740
+ grounding about that kind of thing again,1685.94,4.32
741
+ I think that some people won't care and,1688.039,4.201
742
+ some people will prefer the machines but,1690.26,3.24
743
+ there are going to be lots of us who,1692.24,3.059
744
+ actually prefer the real the real deal,1693.5,2.76
745
+ as well,1695.299,3.301
746
+ but also like Project Runway would be,1696.26,4.68
747
+ super boring if it was just robots I,1698.6,4.62
748
+ don't know that's just my opinion,1700.94,4.979
749
+ um this one is like really interesting,1703.22,6.0
750
+ so I actually saw her on not in and not,1705.919,5.221
751
+ in person but I saw a documentary about,1709.22,3.54
752
+ her years ago,1711.14,3.0
753
+ um she's a she was like the youngest,1712.76,4.019
754
+ funeral directory director in uh Britain,1714.14,6.24
755
+ uh at the time and I was just like wow,1716.779,5.101
756
+ that's a really interesting profession,1720.38,3.659
757
+ and so it just really stuck with me but,1721.88,4.32
758
+ like the tldr is like imagine a robot,1724.039,4.5
759
+ riding a eulogy for your mom,1726.2,3.78
760
+ um that would be kind of weird and of,1728.539,3.24
761
+ course like there was the what was it,1729.98,4.679
762
+ the the pastor in Germany recently like,1731.779,4.38
763
+ delivered a sermon that was written by,1734.659,3.9
764
+ chat GPT like I think that it's gonna,1736.159,4.981
765
+ happen especially once we develop like,1738.559,5.581
766
+ relationships with machines as like I,1741.14,4.139
767
+ said like I wouldn't mind having,1744.14,3.419
768
+ Commander Data as a friend and so like,1745.279,4.02
769
+ if I had Commander Data as a friend and,1747.559,3.901
770
+ I died I wouldn't mind if he eulogized,1749.299,4.561
771
+ uh he wrote a eulogy for me,1751.46,4.56
772
+ um but that being said there is,1753.86,4.799
773
+ something very deeply human about things,1756.02,6.3
774
+ like birth and death uh grief and other,1758.659,7.321
775
+ uh uh transitions in life right so say,1762.32,4.8
776
+ for instance,1765.98,1.679
777
+ um,1767.12,4.02
778
+ uh palliative care end of Life Care uh,1767.659,6.181
779
+ like uh I've actually had an interesting,1771.14,5.159
780
+ conversation with an end of life Doula,1773.84,4.74
781
+ um because they they it's a very deeply,1776.299,6.48
782
+ spiritual uh kind of role and um you,1778.58,6.06
783
+ know I think I think that yes there will,1782.779,4.14
784
+ be some plenty of people who don't mind,1784.64,4.32
785
+ or prefer the machine because of the,1786.919,3.961
786
+ level of precision because because it's,1788.96,3.78
787
+ less emotional or because they might,1790.88,3.72
788
+ perform better but also there's going to,1792.74,3.36
789
+ be lots and lots of people who just,1794.6,4.199
790
+ really strongly prefer humans to be part,1796.1,6.179
791
+ of these intrinsically human experiences,1798.799,6.12
792
+ uh shared outdoor experiences so this is,1802.279,4.081
793
+ something one of my best friends in high,1804.919,4.38
794
+ school actually she went to become a,1806.36,5.52
795
+ raft guide while she was in college up,1809.299,5.1
796
+ in the mountains and um like that was a,1811.88,3.899
797
+ really cool job,1814.399,3.481
798
+ but it's also the kind of thing of the,1815.779,5.041
799
+ shared stress of Adventure the shared,1817.88,5.1
800
+ struggle is actually a really important,1820.82,4.5
801
+ part of the experience and if you have a,1822.98,4.679
802
+ robot with you that that was never in,1825.32,4.68
803
+ danger and could you know pull you out,1827.659,4.74
804
+ of danger without any risk to itself,1830.0,4.44
805
+ that kind of lessens the experience a,1832.399,4.801
806
+ little bit uh and so like yeah you might,1834.44,5.28
807
+ have raft guides that have like a spare,1837.2,4.26
808
+ robot to help you fish someone out of,1839.72,3.24
809
+ the water if they fall in,1841.46,3.48
810
+ uh but that being said you're still,1842.96,3.54
811
+ going to want to have the human who has,1844.94,3.78
812
+ hiked up the mountain and struggled and,1846.5,3.6
813
+ knows what you're going through and,1848.72,4.14
814
+ knows what that experience is like and,1850.1,4.26
815
+ can help you get the most out of that,1852.86,5.22
816
+ experience uh there are uh tour guides,1854.36,7.679
817
+ and and Excursion leaders uh and this is,1858.08,5.579
818
+ actually something that's really popular,1862.039,4.441
819
+ with the elite right now uh what was it,1863.659,5.52
820
+ as brown something there's there there's,1866.48,4.14
821
+ multiple companies out there that,1869.179,3.541
822
+ basically you give them like a million,1870.62,3.48
823
+ dollars and they take you on like the,1872.72,3.6
824
+ coolest Excursion that you've ever been,1874.1,4.559
825
+ on and uh the description for one of,1876.32,5.219
826
+ them was like you know it's it's a it's,1878.659,4.38
827
+ an adventure that's so intense that,1881.539,3.661
828
+ it'll be seared into your memory it's,1883.039,3.541
829
+ like that sounds painful but you know,1885.2,3.12
830
+ what if you're bored and Rich and you,1886.58,2.88
831
+ have more money than you know what to do,1888.32,4.079
832
+ with have at it uh so point being though,1889.46,5.459
833
+ is that there will always be demand for,1892.399,5.701
834
+ those really intense uh visceral outdoor,1894.919,5.401
835
+ experiences and Adventures,1898.1,5.4
836
+ journalism is something that uh I think,1900.32,5.88
837
+ that it particularly with the rise of AI,1903.5,4.98
838
+ and disinformation a lot of people,1906.2,4.68
839
+ myself included already like I'm just,1908.48,7.74
840
+ gonna tap out of of uh of you know AI,1910.88,7.799
841
+ generated news and stuff like I want to,1916.22,4.86
842
+ I want to have a parasocial relationship,1918.679,5.88
843
+ with a reporter or a news commentator or,1921.08,6.06
844
+ investigator that I trust who does the,1924.559,4.86
845
+ work of sifting through all the all the,1927.14,5.22
846
+ noise and tells me what they think what,1929.419,5.041
847
+ they truly think and feel so this again,1932.36,3.9
848
+ comes down to that emotional resonance,1934.46,3.54
849
+ that was mentioned at the beginning,1936.26,5.22
850
+ which it's like hey I want a human to,1938.0,5.279
851
+ tell me what they think about this news,1941.48,4.079
852
+ I want a human to tell me how they feel,1943.279,3.601
853
+ about the way that things are going,1945.559,4.081
854
+ because that's what I connect with some,1946.88,4.14
855
+ people again like I said some people,1949.64,2.639
856
+ aren't going to Care some people will,1951.02,4.379
857
+ prefer the ai's unbiased analysis,1952.279,4.981
858
+ because again there's already evidence,1955.399,3.961
859
+ emerging that we can make large language,1957.26,4.08
860
+ models less by highest than pretty much,1959.36,3.84
861
+ 99 of humans,1961.34,6.439
862
+ so like yes I will I absolutely uh,1963.2,7.859
863
+ appreciate that existence because I want,1967.779,6.581
864
+ you know the AI to look at all sides and,1971.059,6.061
865
+ you know give me the ability to like say,1974.36,4.26
866
+ okay well what is,1977.12,3.059
867
+ you know what is the story what's,1978.62,3.539
868
+ missing what are the gaps you know what,1980.179,3.901
869
+ is this side saying what does it mean,1982.159,4.38
870
+ the AI will help us analyze all these,1984.08,4.44
871
+ things which is great but I still need,1986.539,4.5
872
+ that intrinsic human connection to tell,1988.52,4.74
873
+ me like okay like what does this mean to,1991.039,4.02
874
+ me as a person,1993.26,3.72
875
+ care profession so this is another one,1995.059,3.901
876
+ that's like kind of dubious because like,1996.98,4.14
877
+ and I'll talk about this uh more again,1998.96,4.74
878
+ at the end once we get to Medical Care,2001.12,5.76
879
+ uh but basically I suspect that there,2003.7,4.8
880
+ will still that there will be a durable,2006.88,3.48
881
+ preference that some people will just,2008.5,3.84
882
+ say you know what like I know that,2010.36,3.659
883
+ there's you can get a robot Nanny and,2012.34,3.179
884
+ they're technically better but I still,2014.019,4.081
885
+ just prefer you know to hire the the,2015.519,5.341
886
+ neighborhood babysitter you know for a,2018.1,4.199
887
+ little Johnny or whatever,2020.86,2.58
888
+ um that they just prefer that,2022.299,4.141
889
+ authenticity again it comes down to it,2023.44,4.619
890
+ it's really just preference it's not a,2026.44,4.5
891
+ matter of what machines can or can't do,2028.059,4.381
892
+ because we're again we're assuming that,2030.94,3.239
893
+ the machines are ultimately going to be,2032.44,3.42
894
+ hyper realistic,2034.179,4.261
895
+ um but the idea is what is it that,2035.86,4.86
896
+ people are willing to pay for and I,2038.44,3.78
897
+ suspect that there will always be people,2040.72,4.26
898
+ willing to pay for humans in care,2042.22,5.879
899
+ professions uh now that might change,2044.98,6.119
900
+ over time particularly if the economic,2048.099,5.76
901
+ uh economic shift like if hiring a human,2051.099,4.981
902
+ to do the job costs 10 000 times as much,2053.859,4.74
903
+ as it costs to have a human do the job,2056.08,4.62
904
+ that's a pretty steep bill,2058.599,4.8
905
+ but also if the quality of care that,2060.7,4.679
906
+ machines can render is also a thousand,2063.399,4.381
907
+ times better and safer and more reliable,2065.379,5.101
908
+ we might actually see a collapse of that,2067.78,5.399
909
+ demand not sure but I do I do suspect,2070.48,4.74
910
+ that some people regardless of how,2073.179,4.561
911
+ sophisticated robots become will still,2075.22,4.139
912
+ prefer humans,2077.74,3.419
913
+ Okay so,2079.359,3.421
914
+ I kept alluding to like medical,2081.159,3.661
915
+ professions and this is where uh,2082.78,3.119
916
+ actually I don't know how this is going,2084.82,3.299
917
+ to be received some of these ideas I,2085.899,3.48
918
+ actually got from you guys in the,2088.119,3.24
919
+ comments so maybe maybe you guys are,2089.379,3.421
920
+ already on board but some of these might,2091.359,3.06
921
+ kind of be a little a little bit,2092.8,3.9
922
+ contentious a little bit spicy but let's,2094.419,3.901
923
+ talk about you know we talked about a,2096.7,3.06
924
+ whole bunch of jobs that will probably,2098.32,4.5
925
+ stick around forever uh now let's talk,2099.76,6.24
926
+ about jobs that maybe should go away,2102.82,6.24
927
+ all right so first uh some of you are I,2106.0,4.619
928
+ can just hear like cheering and,2109.06,3.18
929
+ screaming at your screen like yes get,2110.619,5.48
930
+ rid of the politicians uh there's a few,2112.24,6.66
931
+ primary reasons to do this so one,2116.099,4.48
932
+ remember the the thought experiment here,2118.9,2.939
933
+ is that machines are going to be,2120.579,3.421
934
+ intellectually morally ethically and,2121.839,4.141
935
+ creatively Superior to humans in all,2124.0,3.3
936
+ ways,2125.98,4.98
937
+ from Strictly a structural standpoint if,2127.3,5.76
938
+ machines get to that point it would,2130.96,4.139
939
+ probably be unethical to allow humans to,2133.06,4.019
940
+ make decisions that influence other,2135.099,3.661
941
+ humans just by virtue of the fact that,2137.079,3.121
942
+ the machine can make a better decision,2138.76,4.44
943
+ and a more robust argument that's going,2140.2,4.74
944
+ to be more fair and more Equitable and,2143.2,3.96
945
+ less biased now,2144.94,4.74
946
+ just just from performance standards,2147.16,4.679
947
+ that's to me that's enough of a reason,2149.68,4.86
948
+ to replace politicians with machines if,2151.839,4.561
949
+ they get to that point there are more,2154.54,4.079
950
+ reasons than than that though uh not the,2156.4,4.28
951
+ least of which is conflicts of interest,2158.619,4.201
952
+ politicians often make a lot of money,2160.68,3.7
953
+ while they're in politics at least here,2162.82,4.5
954
+ in America so that's like hmm maybe,2164.38,6.0
955
+ maybe they don't actually have uh the,2167.32,5.4
956
+ best interests of their constituents in,2170.38,5.699
957
+ mind whereas if we design AGI correctly,2172.72,5.639
958
+ as long as it has power or whatever it's,2176.079,5.161
959
+ trying to optimize for like it's not,2178.359,4.26
960
+ going to have the same conflicts of,2181.24,4.92
961
+ interest another thing or another aspect,2182.619,5.881
962
+ of that is dubious motivations,2186.16,4.56
963
+ some politicians want power just for the,2188.5,4.14
964
+ sake of power which it's like that's,2190.72,4.44
965
+ maybe not the best reason that uh,2192.64,5.76
966
+ someone should be given power uh another,2195.16,5.04
967
+ thing is cognitive biases as I mentioned,2198.4,4.92
968
+ Prejudice and uh and worst of all the,2200.2,4.379
969
+ most Insidious one that people don't,2203.32,3.84
970
+ talk about enough is trauma politics so,2204.579,4.101
971
+ this is basically someone with,2207.16,4.86
972
+ unaddressed childhood trauma or PTSD and,2208.68,5.02
973
+ they're basically seeking power and,2212.02,3.78
974
+ control and influence as a means of,2213.7,5.22
975
+ self-soothing whether it's their trauma,2215.8,6.48
976
+ resulted in personality disorders or,2218.92,6.439
977
+ other kinds of reactionary sensitivities,2222.28,5.76
978
+ uh yeah I mean,2225.359,5.441
979
+ humans have a basket of flaws that it's,2228.04,4.98
980
+ like if we can get rid of that and have,2230.8,5.22
981
+ machines that make more Equitable uh,2233.02,5.76
982
+ unbiased and fair decisions and that,2236.02,4.38
983
+ they make better decisions that are more,2238.78,3.9
984
+ rigorously thought through maybe maybe,2240.4,4.02
985
+ we should focus on getting rid of,2242.68,3.72
986
+ politicians in the long run,2244.42,4.86
987
+ again this is a pretty high bar uh and,2246.4,5.58
988
+ it will take a lot of time to convince,2249.28,4.079
989
+ people and get them on board but if,2251.98,3.54
990
+ again if the track record proves it out,2253.359,5.401
991
+ over many many years that that machines,2255.52,5.7
992
+ are just better and here's the thing is,2258.76,5.46
993
+ I already know that in in in diplomatic,2261.22,4.26
994
+ core and state departments and,2264.22,3.119
995
+ governments they're already using chat,2265.48,4.56
996
+ GPT to help make decisions the AI is,2267.339,6.661
997
+ already influencing politics uh so like,2270.04,6.299
998
+ it's gonna happen by degrees I guess is,2274.0,5.64
999
+ the point is uh you know right now the,2276.339,5.821
1000
+ AI is the tool but then soon we're going,2279.64,4.02
1001
+ to have semi-autonomous tools and,2282.16,2.52
1002
+ eventually we're going to have fully,2283.66,3.06
1003
+ autonomous tools and then once the tools,2284.68,3.72
1004
+ are fully autonomous it's like well why,2286.72,4.2
1005
+ is the human there,2288.4,4.8
1006
+ this one I think is probably going to be,2290.92,4.919
1007
+ uh pretty contentious for some people,2293.2,4.26
1008
+ and some people are going to be super on,2295.839,3.301
1009
+ board with it like I said I get a lot of,2297.46,3.36
1010
+ these ideas from the comments,2299.14,4.56
1011
+ but uh basically police and soldiers,2300.82,4.68
1012
+ have the same flaws as any other humans,2303.7,4.2
1013
+ we're all humans they make mistakes,2305.5,4.02
1014
+ regardless of how well trained they are,2307.9,3.9
1015
+ and also some of them joined the police,2309.52,4.98
1016
+ in the military for the wrong reasons uh,2311.8,4.26
1017
+ because they want Power because they,2314.5,3.3
1018
+ want to feel Macho because they want to,2316.06,3.6
1019
+ harm people there are literally people,2317.8,3.42
1020
+ who join the military and join the,2319.66,3.84
1021
+ police because they want to have an,2321.22,6.359
1022
+ opportunity to shoot someone and yes in,2323.5,6.06
1023
+ the past when you when you want to hire,2327.579,4.861
1024
+ someone who is ready willing and able to,2329.56,6.059
1025
+ use Force to hurt someone else like you,2332.44,6.659
1026
+ actually need that if you're in a very,2335.619,6.541
1027
+ cruel contentious combative and barbaric,2339.099,5.041
1028
+ world I think we should strive to build,2342.16,4.98
1029
+ a less barbaric world and so then that,2344.14,6.3
1030
+ says like okay well if you build a robot,2347.14,5.699
1031
+ army that follows the Rules of,2350.44,4.679
1032
+ Engagement to the letter,2352.839,4.02
1033
+ you could actually really drastically,2355.119,4.74
1034
+ reduce the rate of rape and torture and,2356.859,6.0
1035
+ war crimes and other things now the big,2359.859,6.0
1036
+ caveat here is that uh that is unless,2362.859,5.041
1037
+ the robot army is actually explicitly,2365.859,4.381
1038
+ programmed to do those things or allowed,2367.9,4.439
1039
+ to do those things uh because this is,2370.24,4.2
1040
+ actually the explicit policy of some,2372.339,4.141
1041
+ Nations out there to deliberately,2374.44,4.08
1042
+ inflict suffering on civilian,2376.48,4.8
1043
+ populations to break their spirit so,2378.52,4.2
1044
+ this is something that it's like it,2381.28,4.2
1045
+ could go either way but at least if you,2382.72,5.639
1046
+ remove the human aspect of it where Some,2385.48,4.859
1047
+ Humans Do it for the wrong reasons then,2388.359,4.26
1048
+ it's up to political decisions but again,2390.339,4.861
1049
+ if we have robot politicians who don't,2392.619,3.96
1050
+ really care about inflicting human,2395.2,2.879
1051
+ suffering they're not going to program,2396.579,3.721
1052
+ the robot army to inflict suffering and,2398.079,4.081
1053
+ ideally we don't have it all anyways,2400.3,4.799
1054
+ because the idea is like if you can,2402.16,4.919
1055
+ figure it all out in simulation and you,2405.099,3.781
1056
+ know what the other side is capable of,2407.079,3.901
1057
+ and so on and so forth it should ideally,2408.88,4.56
1058
+ never come to force anyways,2410.98,5.58
1059
+ this is a this is a pretty strongly held,2413.44,5.28
1060
+ personal opinion so I'll be curious to,2416.56,4.5
1061
+ see how people react to this in the long,2418.72,4.08
1062
+ run and remember the assumption that,2421.06,3.539
1063
+ we're making is that robots will be,2422.8,4.02
1064
+ superior to humans in all ways,2424.599,4.401
1065
+ and that AGI will be intellectually,2426.82,4.5
1066
+ creatively morally and ethically,2429.0,4.66
1067
+ superior to humans as well as that,2431.32,4.38
1068
+ evidence is already emerging,2433.66,6.0
1069
+ Transportation so again if machines have,2435.7,6.3
1070
+ a uh have a proven track record that,2439.66,3.6
1071
+ means that they are safer and more,2442.0,4.079
1072
+ reliable than humans it would probably,2443.26,5.04
1073
+ be unethical to allow humans to drive,2446.079,6.361
1074
+ and to fly uh and uh we all have lots,2448.3,6.0
1075
+ and lots of experiences of Highly,2452.44,3.659
1076
+ dubious drivers who probably shouldn't,2454.3,5.819
1077
+ be on the road uh you know I think that,2456.099,7.5
1078
+ uh I I for one really look forward to uh,2460.119,6.901
1079
+ full uh full fully autonomous like level,2463.599,6.361
1080
+ five self-driving cars uh because when,2467.02,4.74
1081
+ we get to that one driving is going to,2469.96,4.74
1082
+ be a lot safer for everyone it's also,2471.76,3.96
1083
+ going to be a lot more accessible,2474.7,2.639
1084
+ because it's going to Super drive down,2475.72,3.72
1085
+ the cost of driving,2477.339,4.441
1086
+ um which is going to open up the world,2479.44,4.98
1087
+ for a lot of people who either can't,2481.78,5.579
1088
+ afford to drive or are too infirm to,2484.42,4.74
1089
+ drive on their own or whatever because,2487.359,4.381
1090
+ because physical personal Mobility is,2489.16,4.199
1091
+ actually a really big component of,2491.74,3.599
1092
+ individual liberty anyways that's a,2493.359,4.621
1093
+ whole other can of worms but point being,2495.339,4.74
1094
+ is that in this case where we're,2497.98,4.139
1095
+ imagining that machines are far superior,2500.079,4.741
1096
+ to humans in pretty much every way it,2502.119,4.681
1097
+ would probably be illegal to allow a,2504.82,3.84
1098
+ human to drive it which would then,2506.8,6.26
1099
+ materially put other humans in danger,2508.66,4.4
1100
+ hazardous jobs is another thing and I,2513.28,3.86
1101
+ feel like this is pretty uncontroversial,2515.38,4.92
1102
+ uh basically just imagine this there's a,2517.14,5.199
1103
+ robot firefighter that it doesn't matter,2520.3,4.44
1104
+ if it gets you know burnt to a crisp,2522.339,4.681
1105
+ because like it's programmed not to have,2524.74,4.379
1106
+ a sense of self-preservation but it's,2527.02,4.079
1107
+ also faster stronger and has better,2529.119,4.441
1108
+ reflexes than a real human firefighter,2531.099,4.74
1109
+ which one do you want pulling you out of,2533.56,4.32
1110
+ a burning building the answer seems,2535.839,3.961
1111
+ pretty obvious to me,2537.88,3.719
1112
+ um you know and this is demonstrated in,2539.8,4.62
1113
+ all kinds of video games and and and TV,2541.599,4.26
1114
+ of course you know my favorite example,2544.42,3.9
1115
+ is uh is Commander Data from Star Trek,2545.859,5.161
1116
+ but this was also an iRobot right where,2548.32,4.86
1117
+ like the robot saw like an accident,2551.02,4.44
1118
+ happen and they immediately jumped into,2553.18,4.919
1119
+ the water to pull people out of the car,2555.46,5.159
1120
+ right and Will Smith of course in in,2558.099,3.961
1121
+ that movie he was been out of shape,2560.619,3.541
1122
+ because the robot saved him and not the,2562.06,4.62
1123
+ little girl but if it was only humans he,2564.16,4.32
1124
+ would have just died too right so that's,2566.68,3.24
1125
+ I mean the survivor's guilt which is,2568.48,3.359
1126
+ that's his own problem but point being,2569.92,5.22
1127
+ is that for any kind of hazardous job I,2571.839,4.621
1128
+ think that it would probably be,2575.14,3.719
1129
+ unethical to allow humans to do those,2576.46,5.399
1130
+ jobs if robots can do them better and,2578.859,6.24
1131
+ and safer and so on uh medicine so this,2581.859,6.121
1132
+ is this is one that uh is probably going,2585.099,5.841
1133
+ to be pretty uh controversial but again,2587.98,6.18
1134
+ imagine that that that computers and,2590.94,5.44
1135
+ machines and AGI and robots have a,2594.16,5.04
1136
+ better Trek track record than humans,2596.38,6.239
1137
+ even if you prefer a human doctor in the,2599.2,6.419
1138
+ case where machines are better,2602.619,5.941
1139
+ than than human doctors in all ways I,2605.619,4.621
1140
+ think it would probably be illegal for,2608.56,4.08
1141
+ humans to practice medicine,2610.24,5.16
1142
+ and uh I remember talking about this on,2612.64,4.86
1143
+ Reddit a couple years ago when I was,2615.4,5.58
1144
+ learning to use chat gpt3 and I I,2617.5,4.859
1145
+ pointed out to someone who was learning,2620.98,2.94
1146
+ to be a radiologist or something I was,2622.359,4.441
1147
+ like Hey like there's a tool here that,2623.92,4.32
1148
+ can already do all the things that,2626.8,3.96
1149
+ you're doing and it it it's it's faster,2628.24,4.379
1150
+ and and you know the person just,2630.76,3.839
1151
+ completely went ballistics you know,2632.619,3.96
1152
+ rattling off about like it would be,2634.599,3.961
1153
+ impossible for a machine to ever,2636.579,5.52
1154
+ understand like you know what X Y and Z,2638.56,5.4
1155
+ things mean and you just rattled off a,2642.099,3.361
1156
+ bunch of stuff and it's like yeah you,2643.96,3.18
1157
+ just plug all that into chat GPT right,2645.46,2.879
1158
+ now and it'll tell you exactly what it,2647.14,2.34
1159
+ means,2648.339,4.98
1160
+ um and the the the evidence is building,2649.48,6.9
1161
+ um I love this quotation oops come back,2653.319,5.461
1162
+ uh I'm stunned to say better than many,2656.38,4.199
1163
+ it's better than many doctors I've,2658.78,4.62
1164
+ observed this was Dr Isaac cohane,2660.579,4.981
1165
+ um when he was talking about gpt4 and,2663.4,4.08
1166
+ this is a computer scientist and,2665.56,5.7
1167
+ physician from Harvard right so this is,2667.48,4.859
1168
+ like,2671.26,3.0
1169
+ cream of the crop already saying that,2672.339,3.721
1170
+ like yeah this this machine is already,2674.26,4.62
1171
+ better than many actual doctors so I,2676.06,6.0
1172
+ suspect that uh that medical professions,2678.88,5.1
1173
+ are going to go the way the dinosaurs,2682.06,4.38
1174
+ just by virtue of the fact that humans,2683.98,4.5
1175
+ will just not be able to compete not to,2686.44,3.659
1176
+ mention the fact that human doctors are,2688.48,3.42
1177
+ ludicrously expensive,2690.099,3.061
1178
+ um so this is what I mean when I say,2691.9,3.0
1179
+ like Medical Care could go to five,2693.16,3.06
1180
+ dollars a year,2694.9,4.02
1181
+ because if you if you get rid of the,2696.22,4.98
1182
+ need for most hospitals due to,2698.92,4.02
1183
+ preventive care and regenerative,2701.2,4.08
1184
+ medicine you get rid of the need for,2702.94,4.379
1185
+ nurses and doctors and phlebotomists,2705.28,4.38
1186
+ because you have Superior robots then,2707.319,4.141
1187
+ it's like medical care just is an,2709.66,3.3
1188
+ outpatient thing that you you know like,2711.46,4.32
1189
+ you go to the pharmacy uh you know once,2712.96,4.859
1190
+ a year and they'll they'll you know take,2715.78,3.839
1191
+ a blood sample and say okay here's your,2717.819,4.861
1192
+ medicines for the year go home right and,2719.619,5.101
1193
+ oh and you won't need to be on medicines,2722.68,3.24
1194
+ chronically because they're going to,2724.72,3.18
1195
+ actually fix the underlying problem and,2725.92,4.08
1196
+ cure you and so then it's like oh here's,2727.9,3.6
1197
+ an injection to fix this problem that,2730.0,3.18
1198
+ you have you're good to go for the next,2731.5,3.599
1199
+ 10 years that's kind of how I think,2733.18,4.919
1200
+ medicine is going to go and so uh this,2735.099,4.921
1201
+ somewhat maybe controversial opinion is,2738.099,3.781
1202
+ that eventually I think that we should,2740.02,4.98
1203
+ probably actively try and get rid of uh,2741.88,5.82
1204
+ medical uh professions on the human,2745.0,4.74
1205
+ scale all right so here's some,2747.7,3.48
1206
+ conclusions,2749.74,3.66
1207
+ Let's uh let's try and pry that Overton,2751.18,4.8
1208
+ window open just a little bit more,2753.4,4.5
1209
+ um automation resistant occupations are,2755.98,3.42
1210
+ those that humans will always be willing,2757.9,3.3
1211
+ to pay for regardless of machine's,2759.4,4.38
1212
+ capacity and capability so again there's,2761.2,5.34
1213
+ many reasons for that uh the intangible,2763.78,4.5
1214
+ value the emotional resonance the,2766.54,4.2
1215
+ connections now the jobs that should go,2768.28,4.02
1216
+ away are those that concern and,2770.74,3.119
1217
+ potentially infringe upon the safety and,2772.3,3.9
1218
+ rights of other humans because again all,2773.859,4.381
1219
+ humans are flawed all humans are biased,2776.2,3.48
1220
+ and if machines can demonstrate that,2778.24,2.94
1221
+ they are less flawed and less biased,2779.68,4.62
1222
+ than humans then they will have a better,2781.18,5.58
1223
+ track record in terms of safety and,2784.3,5.039
1224
+ respecting human rights and and,2786.76,4.8
1225
+ like I just think that like,2789.339,4.561
1226
+ in the in those cases it would not be,2791.56,5.22
1227
+ ethical to allow humans into jobs that,2793.9,4.679
1228
+ could infringe on the safety and rights,2796.78,4.74
1229
+ of other humans uh and I don't know if,2798.579,4.5
1230
+ that's controversial let me know what,2801.52,2.64
1231
+ you guys think in the comments you,2803.079,3.061
1232
+ always do anyways so yeah I hope you,2804.16,6.56
1233
+ enjoyed uh thanks for watching cheers,2806.14,4.58
GPT5 Rumors and Predictions Its about to get real silly_transcript.csv ADDED
@@ -0,0 +1,530 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ good morning everybody David Shapiro,0.84,5.999
3
+ here with another spicy video things are,3.24,6.12
4
+ getting real interesting real fast,6.839,6.18
5
+ so uh my gbt4 predictions video,9.36,5.939
6
+ um was pretty popular so let's,13.019,4.68
7
+ do the same thing but first let's do a,15.299,5.701
8
+ quick recap for GPT for uh before,17.699,7.381
9
+ jumping into GPT 5.,21.0,6.599
10
+ so perhaps the spiciest thing that,25.08,5.039
11
+ happened after the release of chat gpt4,27.599,5.061
12
+ which is not the foundation model of of,30.119,6.96
13
+ current gpt4 but Microsoft research this,32.66,6.34
14
+ is Microsoft this is not some Podunk,37.079,5.341
15
+ shop this is Microsoft says uh the gpt4,39.0,7.559
16
+ represents the first Sparks of AGI and,42.42,7.5
17
+ that it performs uh strikingly close to,46.559,5.221
18
+ human level performance on many many,49.92,3.0
19
+ tasks,51.78,4.02
20
+ uh so given the breadth and depth of its,52.92,4.44
21
+ capabilities it could be reasonably,55.8,5.52
22
+ viewed as an early yet incomplete AGI,57.36,7.14
23
+ so that was the the kind of the thing,61.32,4.92
24
+ that the shot heard around the world so,64.5,3.299
25
+ to speak,66.24,3.419
26
+ um there's been a little bit other news,67.799,5.301
27
+ or numbers and features sorry about gpt4,69.659,7.5
28
+ so uh the the the base model of chat,73.1,7.18
29
+ gpt4 has an 8 000 token window which,77.159,4.681
30
+ that alone has been a game changer,80.28,3.18
31
+ doubling from four thousand to eight,81.84,3.919
32
+ thousand tokens unlocks a lot of,83.46,4.68
33
+ capabilities they already have an,85.759,4.54
34
+ officially announced 32 000 token window,88.14,5.04
35
+ so that is eight times larger than GPT,90.299,4.261
36
+ 3.,93.18,5.34
37
+ uh which a 32 000 token window is gonna,94.56,6.3
38
+ be a even larger Game Changer there's,98.52,3.66
39
+ going to be so many things that you can,100.86,2.939
40
+ unlock with that,102.18,4.68
41
+ now in terms of parameter count we don't,103.799,5.761
42
+ really know but if I had to give you a,106.86,4.98
43
+ best guess looking at the scale of speed,109.56,4.8
44
+ because you look at Curie versus DaVinci,111.84,5.279
45
+ which are you know gpt3 models,114.36,4.5
46
+ um the dis the difference was about a,117.119,4.68
47
+ 10x uh difference right and so then you,118.86,5.52
48
+ look at the relative speed of chat gpt4,121.799,5.1
49
+ versus chat gpt3 and it's like okay,124.38,5.579
50
+ maybe it's about 10 times again so if I,126.899,6.901
51
+ had to guess maybe chat gpt4 is about,129.959,7.021
52
+ you know in the 1 trillion parameter uh,133.8,6.6
53
+ range who knows but it is definitely,136.98,5.58
54
+ slower and the fact that it is slower,140.4,3.479
55
+ indicates that it's doing more,142.56,4.14
56
+ processing which means more parameters,143.879,6.0
57
+ or more layers a deeper larger model now,146.7,6.119
58
+ one other thing about gpt4 that most of,149.879,5.22
59
+ us haven't seen yet but they did,152.819,5.041
60
+ demonstrate it is that it is multimodal,155.099,5.28
61
+ it's not just text anymore it supports,157.86,5.879
62
+ images another thing about chatgvt4 is,160.379,5.101
63
+ it passed the bar exam and the 90th,163.739,3.601
64
+ percentile it has passed some other,165.48,3.839
65
+ tests in the 99th percentile so it's,167.34,3.42
66
+ pretty smart,169.319,3.601
67
+ um on some benchmarks it outperforms,170.76,5.759
68
+ most humans already and then from using,172.92,6.539
69
+ chat gpt4 it is qualitatively better at,176.519,5.281
70
+ pretty much everything it is a step,179.459,4.381
71
+ Improvement above everything that chat,181.8,6.9
72
+ GPT or the gpt3 and chat gpt3 can do and,183.84,7.2
73
+ then of course MIT released a study,188.7,4.98
74
+ showing that even just chat GPT 3.5,191.04,5.339
75
+ increased White Collar productivity by,193.68,6.66
76
+ 40 percent and gpt4 is going to do the,196.379,5.94
77
+ same thing again so these models are,200.34,3.66
78
+ coming they're already having a huge,202.319,4.56
79
+ impact and people are just beginning to,204.0,4.92
80
+ learn how to use them so that's that's,206.879,6.36
81
+ all three GPT 3.5 and 4 just as a recap,208.92,8.94
82
+ before we jump into GPT 5. now I believe,213.239,6.42
83
+ this is the last slide of kind of,217.86,3.959
84
+ recapping the way that things are right,219.659,5.761
85
+ now so as many of you have heard there,221.819,5.7
86
+ has been an open letter signed by a,225.42,3.48
87
+ whole bunch of people calling that's,227.519,3.72
88
+ being dubbed the great pause people are,228.9,4.619
89
+ are calling for the great pause which is,231.239,4.86
90
+ a six-month moratorium on building,233.519,6.321
91
+ anything more powerful than gpt4,236.099,6.661
92
+ uh the reasons are safety ethics,239.84,5.5
93
+ regulations so on and so forth there's,242.76,6.24
94
+ also been a call for a a public uh,245.34,4.92
95
+ version,249.0,4.08
96
+ um basically the the CERN of AI which,250.26,5.699
97
+ when you look at how much uh money goes,253.08,4.86
98
+ into CERN it's billions and billions of,255.959,3.601
99
+ dollars a year,257.94,2.34
100
+ um,259.56,4.02
101
+ funding AI research at just one percent,260.28,5.639
102
+ of that is a drop in the bucket and,263.58,4.559
103
+ could probably produce public versions,265.919,6.661
104
+ you know uh uh common uh commonly owned,268.139,6.961
105
+ or fully open source versions,272.58,3.6
106
+ um just kind of like how the internet,275.1,3.42
107
+ was was developed,276.18,5.16
108
+ um you know actually at CERN or at least,278.52,4.44
109
+ the the World Wide Web,281.34,4.26
110
+ um HTML and so on,282.96,5.04
111
+ um there have been no major regulatory,285.6,3.78
112
+ movements yet which is really,288.0,2.58
113
+ interesting,289.38,3.96
114
+ so no governments as far as they know,290.58,5.76
115
+ even in the even in Europe have gone so,293.34,4.74
116
+ far as to say hey let's let's put the,296.34,4.2
117
+ kibosh on this for a little while which,298.08,5.22
118
+ usually uh the European Union and,300.54,5.7
119
+ European nations are a little bit more,303.3,4.5
120
+ um kind of ahead of the curve because,306.24,3.66
121
+ America is very reactionary I can't,307.8,4.08
122
+ remember the name of this uh Paradigm,309.9,5.4
123
+ but American politics and legislation is,311.88,5.879
124
+ is very deliberately only going to react,315.3,4.92
125
+ to things once they happen rather than,317.759,5.22
126
+ preemptively legislate whereas Germany,320.22,5.28
127
+ and the EU and France and other places,322.979,4.981
128
+ are much more likely to proactively,325.5,3.9
129
+ legislate things just on the,327.96,4.079
130
+ anticipation of a problem but even,329.4,4.859
131
+ Europe as far as I know has not put any,332.039,4.801
132
+ restrictions on language models and deep,334.259,5.341
133
+ learning so that's very interesting,336.84,5.579
134
+ according to uh some rumors this,339.6,5.24
135
+ ricocheted around read it a while ago,342.419,5.941
136
+ gpt5 is already being trained on 25,344.84,5.74
137
+ 000 Nvidia gpus,348.36,4.98
138
+ um the the estimate was over 200 million,350.58,5.16
139
+ dollars worth of Nvidia Hardware is,353.34,4.919
140
+ being used to train gpt5 again that's a,355.74,4.019
141
+ rumor,358.259,3.601
142
+ um another big piece of news was Sam,359.759,4.081
143
+ Altman was recently on the Lex Friedman,361.86,5.64
144
+ podcast and what he said and this this,363.84,5.639
145
+ to me was from a technical perspective,367.5,4.68
146
+ the most interesting thing he said that,369.479,4.681
147
+ gpd4 did not come about from any,372.18,4.44
148
+ Paradigm shifts it was not a new,374.16,4.319
149
+ architecture or anything but that it,376.62,4.62
150
+ came about from hundreds and hundreds of,378.479,4.861
151
+ small incremental improvements that had,381.24,4.679
152
+ a multiplicative effect across the whole,383.34,6.06
153
+ thing which resulted in you know new new,385.919,5.761
154
+ ways of processing and preparing data,389.4,5.28
155
+ better algorithms so on and so forth and,391.68,5.88
156
+ so if gpt4 came about from incremental,394.68,5.459
157
+ improvements and nothing major maybe we,397.56,4.62
158
+ can expect more of the same for gpt5,400.139,4.141
159
+ that it's going to be uh ongoing,402.18,5.579
160
+ improvements of data pre-processing,404.28,6.0
161
+ um training patterns so on and so forth,407.759,4.621
162
+ so that's in the news,410.28,5.639
163
+ so now let's skip ahead to GPT 5,412.38,6.24
164
+ predictions and some rumors,415.919,5.701
165
+ uh all right so first top of mind when,418.62,5.4
166
+ is it going to come out uh obviously the,421.62,4.68
167
+ internet is Rife with rumors some of it,424.02,4.92
168
+ has more validity than others,426.3,4.8
169
+ um according to one website and I found,428.94,3.96
170
+ some of this with uh the help of Bing,431.1,4.14
171
+ actually ironically enough,432.9,5.22
172
+ um one website said that they expect GPT,435.24,6.0
173
+ 4.5 to come out this September so that,438.12,4.38
174
+ would be a little bit quicker of a,441.24,2.88
175
+ turnaround,442.5,4.02
176
+ um another uh blog said that we should,444.12,6.359
177
+ expect gpt5 by the end of 2024 or early,446.52,6.78
178
+ 2025 just given the the historical,450.479,5.241
179
+ pattern that seems pretty reasonable,453.3,5.22
180
+ when you consider that the testing cycle,455.72,5.86
181
+ for gpt4 was six to nine months so they,458.52,5.34
182
+ had it like rumor has it that um that,461.58,4.8
183
+ they had gpt4 like last summer or last,463.86,4.679
184
+ fall so maybe our predictions about when,466.38,5.46
185
+ gpt4 was completed was correct but the,468.539,5.581
186
+ but they they delayed it the release due,471.84,5.759
187
+ to testing who knows,474.12,6.18
188
+ um uh one Twitter user said that I I,477.599,4.38
189
+ don't know if this was in response to,480.3,3.959
190
+ the leaked Morgan Stanley document,481.979,5.22
191
+ um but basically you know uh and of,484.259,4.681
192
+ course it's on Twitter so take it with a,487.199,4.861
193
+ grant salt but basically that uh he said,488.94,6.24
194
+ that gpt5 is scheduled to be finished,492.06,6.539
195
+ with its training this December so that,495.18,6.48
196
+ kind of lines up with late 2023 early,498.599,5.82
197
+ 2024 and then you add the training cycle,501.66,5.219
198
+ of six to nine months that puts it at,504.419,4.921
199
+ Mid 2024.,506.879,4.141
200
+ um so another thing that was interesting,509.34,4.8
201
+ is in the documentation openai has a few,511.02,6.06
202
+ snapshots of of the current models that,514.14,5.819
203
+ are set to expire in June which is,517.08,4.079
204
+ really interesting because they've never,519.959,3.781
205
+ done that before so my interpretation is,521.159,4.141
206
+ that they're going to say okay we're,523.74,3.84
207
+ going to expire these models,525.3,4.2
208
+ um but you can use them because they're,527.58,4.439
209
+ probably testing new ideas,529.5,3.72
210
+ um and then they're gonna you know,532.019,3.721
211
+ recycle those uh models or replace them,533.22,4.739
212
+ or upgrade them or some something,535.74,3.539
213
+ so,537.959,3.841
214
+ either way all of this all of these,539.279,5.101
215
+ rumors and some of the facts that we're,541.8,3.659
216
+ gleaning,544.38,3.06
217
+ really kind of point to a shorter,545.459,4.681
218
+ testing and release cycle which,547.44,4.74
219
+ considering open ai's close partnership,550.14,4.62
220
+ with Microsoft Microsoft is very,552.18,4.8
221
+ familiar with a regular Cadence right,554.76,4.92
222
+ you've got Patch Tuesday with Microsoft,556.98,5.28
223
+ server and Microsoft desktop they,559.68,5.219
224
+ regularly release new versions uh major,562.26,5.34
225
+ and minor versions of Windows and other,564.899,4.801
226
+ software so they're probably being,567.6,4.38
227
+ pushed to be more like a conventional,569.7,5.1
228
+ software vendor and of course that's the,571.98,4.859
229
+ direction it's all going right now large,574.8,4.08
230
+ language models and AI are new and shiny,576.839,4.321
231
+ but before long it's going to be a,578.88,3.899
232
+ commodity just like anything else just,581.16,3.06
233
+ like your smartphone just like your,582.779,4.68
234
+ laptop whatever so I think that I think,584.22,5.88
235
+ that the we we probably can't expect,587.459,4.32
236
+ some more traction by the end of this,590.1,4.64
237
+ year even if it's an incremental update,591.779,7.341
238
+ but certainly gpt5 I think that probably,594.74,7.539
239
+ mid 2024 at the earliest if I had to,599.12,5.68
240
+ guess but I think that the end of 2024,602.279,4.56
241
+ that's seems to be where the consensus,604.8,3.9
242
+ is right now I wouldn't put money on it,606.839,4.201
243
+ you never know but that seems to be the,608.7,3.66
244
+ consensus,611.04,4.5
245
+ window size so one of the biggest,612.36,5.82
246
+ functional changes of the jump from GPT,615.54,6.12
247
+ 3 to 4 was going from a 4000 token,618.18,6.42
248
+ window up to an 8 000 token window with,621.66,5.88
249
+ being teased with a 32 000 token window,624.6,5.46
250
+ the amount of problems that I have been,627.54,4.38
251
+ able to solve and address just by,630.06,5.04
252
+ doubling the token window incredible so,631.92,5.099
253
+ if that pattern continues where it,635.1,4.44
254
+ either you know it goes up 2X or 8X or,637.019,4.801
255
+ whatever if you extrapolate that pattern,639.54,5.46
256
+ out then gpt5 could have anywhere from,641.82,7.5
257
+ 64 000 tokens to 256 000 tokens so that,645.0,7.86
258
+ is roughly 42 000 words up to 170 000,649.32,5.639
259
+ words to put that into perspective I,652.86,4.56
260
+ think that Dune the original Dune was a,654.959,3.901
261
+ hundred and eighty thousand words so it,657.42,4.14
262
+ could read all of Dune in one go,658.86,4.919
263
+ um Couldn't Write it but when you,661.56,4.74
264
+ consider that most novels are 50 to 70,663.779,5.281
265
+ 000 words that is more than enough uh,666.3,5.64
266
+ token window to read an entire novel and,669.06,5.16
267
+ write an another draft of it,671.94,5.1
268
+ so just digest that for a minute and,674.22,5.84
269
+ think about how much information that is,677.04,6.06
270
+ the number of scientific papers that,680.06,6.16
271
+ that could be so on and so forth now,683.1,6.96
272
+ when we talk about window size if we,686.22,5.58
273
+ assume that they overcome any,690.06,3.42
274
+ diminishing returns on memory,691.8,2.94
275
+ performance and compute because it's,693.48,3.299
276
+ going to be a trade-off right the the,694.74,3.96
277
+ larger those internal vectors are the,696.779,3.781
278
+ more memory it's going to take and that,698.7,3.3
279
+ one thing that I didn't include in this,700.56,3.719
280
+ because it looked a little too dry but,702.0,4.76
281
+ people are basically predicting that,704.279,5.581
282
+ gpt4 takes 10 to 40 times as much,706.76,5.62
283
+ compute as gpt3 and then if you,709.86,4.5
284
+ extrapolate that out again gpt5 will,712.38,3.959
285
+ take another 10 to 40 times as much,714.36,4.62
286
+ compute so the amount of compute is,716.339,5.101
287
+ ramping up exponentially possibly we,718.98,5.88
288
+ don't know but what if there's going to,721.44,5.519
289
+ be diminishing returns on an algorithmic,724.86,4.56
290
+ level so for instance maybe,726.959,4.44
291
+ um when you get the vectors that large,729.42,6.539
292
+ you might get a dilution which uh for,731.399,6.301
293
+ for rnns and other things basically,735.959,3.781
294
+ dilution I'm probably using the wrong,737.7,4.199
295
+ word but it kind of forgets what it was,739.74,4.02
296
+ talking about at the end of it so do we,741.899,3.781
297
+ need new attention mechanisms are we,743.76,4.68
298
+ going to need a new architecture or just,745.68,5.159
299
+ hundreds of more kinds of algorithmic,748.44,4.32
300
+ and incremental optimizations we don't,750.839,3.06
301
+ know,752.76,2.819
302
+ one other thing that we need to be,753.899,3.841
303
+ asking ourselves is how many tokens do,755.579,5.401
304
+ we actually need right because chat GPT,757.74,6.899
305
+ with 8 000 tokens is able to serve,760.98,6.0
306
+ ninety percent of our needs right now,764.639,5.041
307
+ only with very long conversations does,766.98,4.68
308
+ it forget the original like at the,769.68,3.899
309
+ beginning and also I think there's some,771.66,3.54
310
+ evidence that they have other memory,773.579,3.541
311
+ stuff going on because I've had some,775.2,3.72
312
+ pretty long conversations with chat GPT,777.12,3.839
313
+ now and I and I ask it like okay what,778.92,3.18
314
+ was the first thing that we talked about,780.959,3.361
315
+ and it remembers so I don't know if,782.1,3.539
316
+ they've got some search and retrieval,784.32,3.72
317
+ going on or some good summarization not,785.639,3.361
318
+ sure,788.04,2.7
319
+ but the point is,789.0,3.839
320
+ there's probably a diminishing returns,790.74,4.5
321
+ in terms of utility value in terms of,792.839,5.161
322
+ functional value to us the end user and,795.24,4.38
323
+ that includes um you know ordinary,798.0,4.079
324
+ citizens and civilians like us as well,799.62,4.32
325
+ as corporations in business and,802.079,4.32
326
+ Enterprise use cases more is not always,803.94,4.86
327
+ better so there might be a trade-off in,806.399,5.041
328
+ terms of speed cost and intelligence,808.8,6.24
329
+ right because what if what if they find,811.44,6.12
330
+ out that like okay 8 000 tokens actually,815.04,5.88
331
+ satisfies 95 of all use cases so let's,817.56,5.519
332
+ just make that 8 000 token,820.92,5.28
333
+ um model make it faster cheaper and,823.079,6.38
334
+ smarter and then you know maybe we have,826.2,6.36
335
+ uh models that are optimized for much,829.459,5.741
336
+ larger windows for specific kinds of,832.56,5.459
337
+ tasks like summarizing you know half a,835.2,5.28
338
+ million uh scientific papers not really,838.019,3.361
339
+ sure,840.48,3.419
340
+ but it is interesting because honestly,841.38,5.04
341
+ if they came out with a 256 000 token,843.899,5.341
342
+ model tomorrow I think that 99 of people,846.42,4.68
343
+ are never going to use that many tokens,849.24,4.44
344
+ could be wrong you know I probably sound,851.1,4.44
345
+ like some of the people who said like oh,853.68,3.659
346
+ nobody's ever going to use a desktop,855.54,3.419
347
+ computer so maybe I'm completely wrong,857.339,4.321
348
+ you know I I'm the first to admit I,858.959,4.38
349
+ frequently am wrong when I make some of,861.66,3.299
350
+ these predictions and sometimes I'm,863.339,4.201
351
+ hilariously wrong,864.959,5.041
352
+ um okay so moving on modality,867.54,5.4
353
+ for me the biggest shock of gpt4 was,870.0,4.62
354
+ that it was multimodal I didn't think,872.94,4.019
355
+ they were going to go there yet but gpt4,874.62,4.68
356
+ they demonstrated it it can you can give,876.959,3.961
357
+ it pictures it can spit out pictures,879.3,3.719
358
+ most people don't have access to that,880.92,3.9
359
+ yet it probably requires some work on,883.019,3.901
360
+ the API because if you're just sending,884.82,4.5
361
+ text over a Json you know a rest API,886.92,4.859
362
+ that's one thing sending images it's a,889.32,4.139
363
+ little bit different so I suspect that,891.779,2.881
364
+ they're probably working on the,893.459,3.661
365
+ Integrations with that,894.66,4.02
366
+ um which that's a lot to figure out I,897.12,3.06
367
+ don't envy them that problem it sounds,898.68,4.14
368
+ very tedious but when you look at the,900.18,4.8
369
+ fact that that open AI has Dolly they,902.82,5.699
370
+ have whisper gpt4 has images you do the,904.98,6.299
371
+ math I suspect oh and then you look at,908.519,4.981
372
+ um at how uh how much like text to video,911.279,4.68
373
+ and video to text is coming out I,913.5,5.16
374
+ suspect that gpt5 will be audio video,915.959,6.0
375
+ images and text if not more,918.66,5.88
376
+ uh but even still that would be a great,921.959,5.041
377
+ start so I was talking with some people,924.54,4.62
378
+ about this and what does that mean for,927.0,4.5
379
+ for vectors because if you can represent,929.16,7.02
380
+ an image or audio or video or text in,931.5,6.959
381
+ vectors those vectors are going to have,936.18,4.5
382
+ a lot more Nuance to them and so the,938.459,3.841
383
+ vector is the embedding right that is,940.68,3.899
384
+ the mathematical representation of the,942.3,4.5
385
+ input which is then used to generate the,944.579,4.56
386
+ output of these models so if you have,946.8,4.86
387
+ these multimodal vectors it's entirely,949.139,4.44
388
+ possible that these vectors are going to,951.66,4.26
389
+ be more abstract and human-like thoughts,953.579,5.101
390
+ inside the model which that has all,955.92,4.5
391
+ kinds of potential implications and I'm,958.68,3.3
392
+ not saying that it's going to magically,960.42,4.2
393
+ become sentient or or self-aware or,961.98,5.099
394
+ anything like that just that if you have,964.62,4.68
395
+ a more nuanced way of of representing,967.079,5.88
396
+ information about you know reality it's,969.3,5.099
397
+ entirely possible that that will unlock,972.959,6.481
398
+ entirely new capabilities Within gpt5,974.399,7.5
399
+ so one other big question is where are,979.44,4.56
400
+ they getting the data uh one of the,981.899,3.781
401
+ rumors was that they actually ran out of,984.0,3.36
402
+ high quality internet Text data that,985.68,3.3
403
+ they actually downloaded the entire,987.36,3.9
404
+ internet and after they filtered out the,988.98,3.479
405
+ garbage,991.26,2.819
406
+ um they realized there's not any more,992.459,3.0
407
+ text Data out there we need other,994.079,3.18
408
+ modalities and that's why they worked on,995.459,3.901
409
+ whisper that's why they worked on on,997.259,4.32
410
+ Dolly and so if that's the case then,999.36,3.839
411
+ maybe they're working on downloading all,1001.579,4.32
412
+ of YouTube all the podcasts all of every,1003.199,4.801
413
+ you know uh was it Dailymotion or,1005.899,3.62
414
+ whatever you know like basically every,1008.0,3.72
415
+ content provider out there that they can,1009.519,5.081
416
+ get their hands on and um legally and,1011.72,5.1
417
+ ethically get that data if it's under,1014.6,4.08
418
+ Creative Commons or other,1016.82,4.319
419
+ um open open licensing,1018.68,4.2
420
+ um so anyways,1021.139,4.56
421
+ this is it's really difficult to,1022.88,5.16
422
+ anticipate but just the fact that gpt3,1025.699,5.341
423
+ was was single modal and gpt4 is,1028.04,4.919
424
+ multimodal I think we should at least,1031.04,3.36
425
+ assume that that trend is going to,1032.959,2.941
426
+ continue again there might be,1034.4,3.539
427
+ diminishing returns they might find that,1035.9,4.5
428
+ most people don't need multimodal models,1037.939,3.961
429
+ and so then we might end up with a,1040.4,2.82
430
+ branching,1041.9,4.019
431
+ um kind of schema Nvidia does this by,1043.22,5.219
432
+ the way Nvidia publishes hundreds and,1045.919,3.901
433
+ hundreds of different models that have,1048.439,3.601
434
+ different specializations,1049.82,4.32
435
+ um and Nvidia is really good at cranking,1052.04,4.74
436
+ out very specific models for specific,1054.14,5.64
437
+ tasks whereas at least right now open at,1056.78,4.98
438
+ open AI seems to be focusing on one,1059.78,5.279
439
+ Flagship model that that uh that,1061.76,4.919
440
+ business model might change over time,1065.059,3.721
441
+ not sure,1066.679,3.961
442
+ um okay so intelligence and capabilities,1068.78,3.72
443
+ this is where I kind of really dive off,1070.64,5.279
444
+ into sci-fi land so if we look at the,1072.5,5.82
445
+ the relative performance of gpt3 versus,1075.919,7.201
446
+ gpt3 gpt4 sorry three versus four it was,1078.32,6.9
447
+ a huge jump in intelligence where it,1083.12,5.34
448
+ went from you know I think GPT 3.5 was,1085.22,4.68
449
+ able to pass the bar in the 10th,1088.46,3.599
450
+ percentile and then four was able to,1089.9,5.1
451
+ pass in a 90th percentile so that's a,1092.059,5.641
452
+ that's a Quantum Leap Forward so if we,1095.0,4.5
453
+ extrapolate that out then we could,1097.7,4.2
454
+ probably assume that gpt5 is going to,1099.5,5.1
455
+ pass all tests and all benchmarks in the,1101.9,4.26
456
+ 99th percentile,1104.6,3.959
457
+ or or greater,1106.16,6.18
458
+ um if it if it's that smart then with,1108.559,5.161
459
+ the correct Integrations which are,1112.34,3.42
460
+ already working on Integrations chat GPT,1113.72,4.14
461
+ uh plugins right with the correct,1115.76,5.34
462
+ Integrations gpt5 could then outperform,1117.86,6.059
463
+ humans at 99 of all other tasks,1121.1,4.74
464
+ that includes stem jobs science,1123.919,4.321
465
+ technology engineering and math and so,1125.84,4.8
466
+ the the idea that I had was basically,1128.24,4.98
467
+ given the right Integrations and enough,1130.64,5.64
468
+ time you could ask gpt5 to design a,1133.22,5.04
469
+ spaceship and it will do it and then if,1136.28,3.36
470
+ you give it the right robotics it could,1138.26,3.24
471
+ build the thing too,1139.64,4.2
472
+ um so,1141.5,4.74
473
+ like I when I when I wrote that down I,1143.84,3.78
474
+ was like this is absurd then I'm like,1146.24,3.66
475
+ you know if we take out the the Quantum,1147.62,4.26
476
+ Leap from three to four and do that,1149.9,2.88
477
+ again,1151.88,2.58
478
+ this is actually within the realm of,1152.78,3.6
479
+ possibility I think and then another,1154.46,3.78
480
+ probably even more controversial,1156.38,4.56
481
+ prediction is that um it will be able to,1158.24,4.86
482
+ surpass humans in most Artistic,1160.94,4.2
483
+ Endeavors as well such as writing,1163.1,4.5
484
+ Symphonies uh composing stories,1165.14,5.399
485
+ um and even acting on stage given uh the,1167.6,4.98
486
+ correct rigging and framework so like,1170.539,4.14
487
+ maybe it can control a virtual actor,1172.58,4.38
488
+ like in the Unreal Engine or a robotic,1174.679,4.021
489
+ actor because you look at Disney Disney,1176.96,4.079
490
+ is making very very very life-like,1178.7,4.26
491
+ animatronics,1181.039,4.861
492
+ um so I suspect that one way or another,1182.96,4.8
493
+ human actors are going the way of the,1185.9,4.139
494
+ dinosaurs just full stop,1187.76,3.48
495
+ um why because human actors are,1190.039,2.461
496
+ expensive,1191.24,1.86
497
+ um,1192.5,2.88
498
+ and most actors have signed away writes,1193.1,4.74
499
+ their likenesses by now anyways uh many,1195.38,4.38
500
+ of them unwittingly this this came up in,1197.84,4.74
501
+ conversation where uh voice actors and,1199.76,4.38
502
+ even some actors that are getting older,1202.58,3.42
503
+ have very deliberately signed away their,1204.14,3.24
504
+ likeness so that they can be,1206.0,3.78
505
+ immortalized in AI,1207.38,7.08
506
+ um so if if any of this is remotely what,1209.78,7.139
507
+ happens with gpt5 I can understand why,1214.46,4.92
508
+ people are calling for a moratorium,1216.919,3.901
509
+ um but it's going to happen because,1219.38,4.02
510
+ competition is there right if open AI,1220.82,4.14
511
+ doesn't do it someone else is going to,1223.4,3.3
512
+ and if America doesn't do it some other,1224.96,3.36
513
+ country is going to do it and nobody,1226.7,3.18
514
+ wants to fall behind so I really don't,1228.32,2.94
515
+ think a moratorium is going to happen,1229.88,3.36
516
+ but that begs the question what does,1231.26,4.86
517
+ happen is this AGI is this Singularity,1233.24,4.86
518
+ is this you know are we going to get,1236.12,3.48
519
+ regulation is it are we going to get,1238.1,3.06
520
+ competition and of course if you're,1239.6,3.12
521
+ familiar with my channel you saw that I,1241.16,4.98
522
+ predicted AGI within 18 months if GPT 5,1242.72,6.54
523
+ qualifies we could have gpt5,1246.14,8.18
524
+ mid 2024 so the timing is is there,1249.26,5.06
525
+ so all that being said buckle up as a,1254.6,6.06
526
+ commenter said in a previous video it's,1258.26,5.22
527
+ about to get silly yes that's pretty,1260.66,4.56
528
+ much all we can really guarantee right,1263.48,3.48
529
+ now is that it's about to get real silly,1265.22,5.3
530
+ real fast thanks for watching,1266.96,3.56
Generative AI for CEOs How to think about AI today and how to get the most ROI from it_transcript.csv ADDED
@@ -0,0 +1,1263 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ good morning everybody David Shapiro,0.12,4.56
3
+ here with another video so today's video,2.34,4.2
4
+ is going to be a little bit less about,4.68,4.98
5
+ the narratives around Ai and that sort,6.54,4.139
6
+ of stuff and it's going to be a little,9.66,4.019
7
+ bit more uh down to Basics uh let's talk,10.679,5.641
8
+ let's talk business with artificial,13.679,5.041
9
+ intelligence uh particularly generative,16.32,3.48
10
+ AI,18.72,3.3
11
+ uh real quick plug before we get started,19.8,5.04
12
+ uh I am available for one-on-one,22.02,6.179
13
+ consultations on patreon and I'm also,24.84,6.3
14
+ available uh for for different kinds of,28.199,4.981
15
+ engagements uh reach out to me on,31.14,4.259
16
+ LinkedIn if you'd like to talk about any,33.18,3.18
17
+ of the things that I'm talking about,35.399,2.34
18
+ here,36.36,3.48
19
+ all right so getting right into the show,37.739,5.361
20
+ let's talk about generative AI for CEOs,39.84,5.28
21
+ and we're going to look at it at a very,43.1,3.88
22
+ high level so first we're going to look,45.12,3.18
23
+ at it through the lens of people,46.98,4.919
24
+ processes and tools uh all organizations,48.3,5.759
25
+ go through Transformations and one of,51.899,4.14
26
+ the ways to look at organizational,54.059,4.621
27
+ transitions is through people processes,56.039,5.281
28
+ and tools what kinds of people do you,58.68,4.44
29
+ need and how does that how does that,61.32,4.14
30
+ change what kind of expertise training,63.12,4.56
31
+ that sort of stuff how do your processes,65.46,4.38
32
+ change uh within the business and then,67.68,5.04
33
+ what tools do you use so this is just,69.84,4.92
34
+ kind of the the the background framing,72.72,4.02
35
+ we're not going to unpack these in any,74.76,3.719
36
+ particular order we're just going to,76.74,3.96
37
+ kind of talk about generative AI through,78.479,3.96
38
+ this particular lens,80.7,3.54
39
+ so one thing that you can think about,82.439,4.741
40
+ generative AI is that it's just more,84.24,3.96
41
+ software,87.18,3.6
42
+ at a fundamental level generative AI is,88.2,4.559
43
+ just a new kind of software but it is,90.78,3.9
44
+ still just software,92.759,4.921
45
+ one thing to keep in mind is that uh,94.68,5.52
46
+ technology you know computers uh,97.68,4.14
47
+ software that sort of stuff has,100.2,3.48
48
+ automated and accelerated business for,101.82,4.02
49
+ decades this is nothing new it's nothing,103.68,4.399
50
+ different this is just the next flavor,105.84,5.4
51
+ for those of you in the technology space,108.079,4.921
52
+ you might remember how virtualization,111.24,4.44
53
+ was a very disruptive technology for the,113.0,5.32
54
+ data center and that ultimately led to,115.68,4.52
55
+ uh the the,118.32,4.74
56
+ preeminence of cloud computing which is,120.2,4.959
57
+ now pretty much standard and so the,123.06,5.22
58
+ combination of virtualization and apis,125.159,6.001
59
+ and stuff that made cloud computing uh,128.28,4.98
60
+ you know the viable business model that,131.16,4.68
61
+ it is today this is no different from,133.26,5.119
62
+ how Oracle and SQL Technologies,135.84,4.74
63
+ transformed uh the way that businesses,138.379,4.481
64
+ handled data and then of course there's,140.58,4.32
65
+ everything that Microsoft did for for,142.86,3.66
66
+ business productivity from their office,144.9,4.02
67
+ suite to Microsoft Windows and,146.52,4.26
68
+ everything else team Foundation,148.92,3.959
69
+ everything,150.78,3.36
70
+ so,152.879,3.061
71
+ from that perspective from a software,154.14,4.98
72
+ perspective you can think of a,155.94,6.06
73
+ generative AI in two primary categories,159.12,5.399
74
+ the first category is that generative AI,162.0,4.62
75
+ is a new kind of automation,164.519,4.621
76
+ and so you know again business,166.62,6.3
77
+ automation nothing new uh and business,169.14,5.879
78
+ automation is also it doesn't really,172.92,4.74
79
+ change the idea is that you just do more,175.019,4.681
80
+ with less you do it faster and you do it,177.66,5.52
81
+ more reliably so looking at generative,179.7,6.179
82
+ AI through the lens of automation the,183.18,4.98
83
+ idea is that it can take some of the,185.879,4.621
84
+ workload off of humans and put it onto,188.16,4.98
85
+ machines and then it can allow you to,190.5,5.879
86
+ get more done faster with less and more,193.14,5.28
87
+ reliably that is the entire point of,196.379,3.72
88
+ automation,198.42,3.66
89
+ another thing that you can look at it is,200.099,3.661
90
+ and this is kind of the fundamentally,202.08,5.1
91
+ new aspect is it has to do with decision,203.76,5.88
92
+ enhancement and what I mean by that is,207.18,4.76
93
+ that the particularly language models,209.64,5.459
94
+ they can Aid with all kinds of things,211.94,6.04
95
+ whether it's judgment creativity,215.099,6.0
96
+ appraisal brainstorming drafting they,217.98,5.399
97
+ can also read a tremendous amount in,221.099,3.601
98
+ very short periods of time which can,223.379,3.78
99
+ allow you to make better decisions by,224.7,5.58
100
+ ingesting more data than ever before,227.159,5.22
101
+ so by thinking of generative Ai and,230.28,5.459
102
+ these two uh like I guess categories,232.379,5.94
103
+ Automation and decision enhancement that,235.739,4.741
104
+ can really help you target where in your,238.319,3.78
105
+ corporation where in your organization,240.48,5.52
106
+ to look at using generative AI again the,242.099,5.521
107
+ idea of automation is that you get more,246.0,4.04
108
+ done faster and of course time is money,247.62,4.56
109
+ another thing is that you can do it with,250.04,3.46
110
+ less you might be able to do it with,252.18,3.479
111
+ less head count or you can take the,253.5,3.72
112
+ ideally you take the head count that you,255.659,2.58
113
+ do have because we don't want to see,257.22,3.239
114
+ anyone get laid off if we can avoid it,258.239,5.46
115
+ and then you you Empower your existing,260.459,6.3
116
+ staff to do twice as much four times as,263.699,6.0
117
+ much 10 times as much so that is and,266.759,4.141
118
+ then of course you can also use,269.699,3.961
119
+ generative AI to perform checks and,270.9,5.22
120
+ interlocks which can raise the quality,273.66,5.4
121
+ of work and make it more consistent so,276.12,4.799
122
+ those are a few uh kind of off the cuff,279.06,3.12
123
+ ways to think about it like yes,280.919,3.901
124
+ generative AI is just more software but,282.18,4.68
125
+ there's it does give us a couple new,284.82,4.26
126
+ capabilities of this software,286.86,4.98
127
+ So speaking of new capabilities uh,289.08,5.28
128
+ generative AI mostly right now is text,291.84,4.38
129
+ and images but there's other modalities,294.36,5.22
130
+ coming soon namely video audio and a few,296.22,5.64
131
+ other things so what are the what are,299.58,4.38
132
+ the Baseline capabilities that this,301.86,4.5
133
+ technology has first of all as a,303.96,4.92
134
+ language model it is primarily based on,306.36,5.16
135
+ text which means it can read everything,308.88,4.94
136
+ it can ingest email chat papers,311.52,4.86
137
+ scientific papers articles laws,313.82,5.26
138
+ protocols reports logs tribal knowledge,316.38,5.759
139
+ in the form of KB articles documentation,319.08,4.5
140
+ that sort of stuff,322.139,3.241
141
+ so when you think when you have a,323.58,4.08
142
+ machine that can read at a thousand,325.38,5.22
143
+ times faster than any human think of the,327.66,4.8
144
+ text Heavy aspects of your business,330.6,4.5
145
+ whether that is combing through,332.46,5.76
146
+ financial reports or consolidating,335.1,6.18
147
+ Knowledge from from chat logs customer,338.22,5.46
148
+ feedback there's all kinds of stuff that,341.28,3.96
149
+ is text based or could easily be,343.68,3.78
150
+ rendered as text that you can then just,345.24,4.5
151
+ read and get a tremendous amount of,347.46,5.16
152
+ information from now the problem there,349.74,4.32
153
+ of course is you have to be asking the,352.62,3.72
154
+ right questions and there are also still,354.06,4.62
155
+ technical limits namely the window size,356.34,3.72
156
+ of some of these things,358.68,4.019
157
+ you can summarize and transform text and,360.06,4.02
158
+ information and so what I mean by that,362.699,3.121
159
+ is you can take a large block of text,364.08,4.86
160
+ and you can either make it smaller or,365.82,4.68
161
+ change the formatting or that sort of,368.94,4.02
162
+ thing which again this is one of the two,370.5,4.8
163
+ one of the new tools in the toolbox,372.96,4.92
164
+ that allows you to engage with the data,375.3,4.679
165
+ that you do have in a different manner,377.88,4.62
166
+ uh brainstorming and planning so this is,379.979,5.16
167
+ one of the most powerful aspects of,382.5,5.16
168
+ tools such as chat gbt it's like hey I'm,385.139,4.201
169
+ addressing this problem help me,387.66,4.2
170
+ brainstorm how to approach it uh I've,389.34,4.979
171
+ used brainstorming everything for uh,391.86,4.32
172
+ writing fiction you know it's like hey,394.319,4.201
173
+ I'm working on this scene uh help me,396.18,4.079
174
+ brainstorm a few ways to approach the,398.52,3.959
175
+ scene so that it you know ticks these,400.259,4.321
176
+ boxes right you give it you give it some,402.479,4.5
177
+ constraints and Technologies like chat,404.58,4.679
178
+ GPT will absolutely surprise you in,406.979,4.141
179
+ terms of what they're capable of helping,409.259,5.041
180
+ you brainstorm because they it has a lot,411.12,4.859
181
+ more information than than you will ever,414.3,3.3
182
+ have and so if you give it the right,415.979,3.181
183
+ constraints and the right problem space,417.6,3.78
184
+ it will surprise you and it'll add,419.16,4.56
185
+ information to uh what you're trying to,421.38,4.5
186
+ do planning one of the things that's,423.72,3.96
187
+ really good at is helping you think,425.88,4.08
188
+ through every step of a plan,427.68,4.859
189
+ brainstorming and planning are among the,429.96,4.679
190
+ most cognitively demanding tasks and,432.539,4.44
191
+ we'll talk about cognitive demands and,434.639,4.921
192
+ cognitive offload in just a moment but,436.979,4.62
193
+ basically you know there are some things,439.56,3.9
194
+ that chat GPT and similar Technologies,441.599,4.621
195
+ can do that can save you a tremendous,443.46,4.92
196
+ amount of mental energy which then you,446.22,4.379
197
+ can allocate to other things other,448.38,4.5
198
+ problems that AI is not yet capable of,450.599,4.021
199
+ doing and then finally Drafting and,452.88,4.379
200
+ revising uh you know whether you're,454.62,4.44
201
+ writing a legal document or an agreement,457.259,4.621
202
+ or a contract or even just drafting an,459.06,5.28
203
+ email I mean I use chat GPD it's like,461.88,4.74
204
+ hey I need to respond to this email I,464.34,3.9
205
+ want to do it diplomatically and explain,466.62,4.32
206
+ it clearly and you know like yes I am,468.24,4.799
207
+ good at writing but it's just easier to,470.94,4.199
208
+ have the machine write the first draft,473.039,5.1
209
+ for me and then I can clean it up and,475.139,4.921
210
+ then revisions as well,478.139,3.661
211
+ in some of my previous videos you might,480.06,4.44
212
+ have seen where I use uh the chat GPT,481.8,4.98
213
+ API to provide feedback on my fiction,484.5,4.8
214
+ and and plenty of other things I often,486.78,5.16
215
+ use chat GPT for uh helping actually,489.3,5.22
216
+ even make these slide decks although I'm,491.94,3.84
217
+ getting better at making these slide,494.52,3.239
218
+ decks so I actually need it less which,495.78,3.539
219
+ is a really interesting phenomenon it's,497.759,3.66
220
+ like okay I've actually gained new,499.319,4.201
221
+ skills by using this tool and I am,501.419,3.601
222
+ better at communicating now and I need,503.52,3.66
223
+ this tool less really fascinating I,505.02,3.299
224
+ don't know if that's going to keep up,507.18,4.079
225
+ but anyway so here these are four basic,508.319,6.001
226
+ categories of new capabilities that you,511.259,5.041
227
+ can think of in terms of okay what is it,514.32,3.899
228
+ that generative AI is actually capable,516.3,4.44
229
+ of right now and then from there these,518.219,3.721
230
+ are kind of the low level building,520.74,4.02
231
+ blocks that you can slot into other,521.94,5.22
232
+ products other services whether it's,524.76,4.139
233
+ internal or external right because you,527.16,4.02
234
+ might have internal facing tools you,528.899,4.44
235
+ might have external facing tools and,531.18,3.42
236
+ these are things that you can just kind,533.339,3.241
237
+ of pipe into existing Frameworks,534.6,4.56
238
+ existing processes to make them better,536.58,4.5
239
+ you can also think about these when,539.16,4.56
240
+ creating new products and services,541.08,5.66
241
+ okay so as I promised cognitive offload,543.72,6.72
242
+ most humans are capable of two to maybe,546.74,5.86
243
+ four hours of high performance cognitive,550.44,5.16
244
+ labor per day many people less so an,552.6,4.56
245
+ average a rule of thumb is about two,555.6,2.76
246
+ hours,557.16,4.2
247
+ so the idea of cognitive offload is that,558.36,4.56
248
+ it's like okay whatever it is that's,561.36,4.8
249
+ difficult you uh delegate that to,562.92,5.34
250
+ someone else you delegate it to a,566.16,3.66
251
+ machine,568.26,3.68
252
+ excuse me you delegate it to a machine,569.82,5.22
253
+ you uh you do something to make it,571.94,6.399
254
+ easier you create a process or you,575.04,5.4
255
+ offshore it or whatever,578.339,3.661
256
+ so what are some things that are,580.44,3.74
257
+ cognitively demanding decision making,582.0,4.38
258
+ there's a phenomenon called decision,584.18,5.44
259
+ fatigue if you follow hbr uh and or,586.38,5.579
260
+ scitec daily or whatever there's plenty,589.62,3.899
261
+ of research that goes into decision,591.959,3.421
262
+ fatigue and basically what this means is,593.519,4.921
263
+ that the cognitive demand of making,595.38,5.7
264
+ decisions all day is very very taxing,598.44,4.68
265
+ it's very draining and so what happens,601.08,4.379
266
+ is that after making too many decisions,603.12,5.1
267
+ once decision fatigue takes over people,605.459,4.32
268
+ will just kind of go with the default,608.22,3.299
269
+ answer or whatever they're most,609.779,3.961
270
+ comfortable with or they'll use simpler,611.519,4.5
271
+ and simpler heuristics and objectively,613.74,4.98
272
+ speaking decisions get worse with with,616.019,5.701
273
+ time and fatigue so any place that you,618.72,6.66
274
+ can use generative AI to offload some of,621.72,5.46
275
+ the decision-making process from humans,625.38,4.019
276
+ or to augment it right because it,627.18,3.719
277
+ doesn't necessarily mean taking it from,629.399,4.201
278
+ Human but instead instead of having to,630.899,4.981
279
+ have a human synthesize all the things,633.6,4.14
280
+ and think through it you can have the AI,635.88,3.959
281
+ generator report like okay based on the,637.74,3.3
282
+ problem space that you're addressing,639.839,3.721
283
+ here's the top three choices you know,641.04,4.14
284
+ think through this and again this is,643.56,3.24
285
+ something that I use chat GPT for all,645.18,3.36
286
+ the time it's like okay help me think,646.8,3.06
287
+ through what you know what are the,648.54,2.82
288
+ questions that I'm forgetting to ask,649.86,4.38
289
+ myself that sort of thing and by by,651.36,4.32
290
+ having the machine do some of the,654.24,3.659
291
+ thinking for me it preserves my,655.68,4.2
292
+ cognitive energy for other problems,657.899,4.56
293
+ speaking of problem solving,659.88,5.28
294
+ problem solving is also very very,662.459,5.461
295
+ cognitively demanding whether you're,665.16,4.44
296
+ trying to solve a financial problem a,667.92,3.2
297
+ legal problem a technology problem,669.6,4.02
298
+ having something that you can bounce,671.12,5.5
299
+ ideas off of or ideally actually just,673.62,5.58
300
+ pipe it into your existing products and,676.62,5.219
301
+ services and platforms where either it,679.2,4.8
302
+ can solve the problem for you or it can,681.839,4.68
303
+ help you solve problems again this is,684.0,6.12
304
+ going to be a high value ad where the,686.519,4.981
305
+ overall intelligence of your,690.12,3.6
306
+ organization will go up if you use,691.5,4.2
307
+ generative AI to help your organization,693.72,4.619
308
+ solve problems better but it also save,695.7,4.74
309
+ your employees brain power for the,698.339,3.901
310
+ problems that AI is not yet capable of,700.44,2.7
311
+ solving,702.24,3.779
312
+ learning learning is something that uh,703.14,4.62
313
+ All Humans Do it's natural it's,706.019,3.841
314
+ instinctive it's reflective sorry,707.76,3.9
315
+ reflexive you don't even need to think,709.86,3.9
316
+ about doing it but when you put yourself,711.66,3.9
317
+ in a position where you're deliberately,713.76,3.84
318
+ learning and stretching your mind that,715.56,4.56
319
+ is very exhausting it's very taxing uh,717.6,4.62
320
+ and so what you can do is you can use,720.12,5.459
321
+ these tools to help streamline your,722.22,5.16
322
+ training your learning,725.579,4.741
323
+ and what that does is that you uh can,727.38,4.68
324
+ meet everyone where they are for your,730.32,4.38
325
+ training programs and you can also often,732.06,4.5
326
+ learn faster because then you have an,734.7,3.66
327
+ interactive modality and you can,736.56,3.899
328
+ basically create an internal uh,738.36,4.68
329
+ customized tutor that says okay here's,740.459,4.44
330
+ the company's training material let's,743.04,3.539
331
+ get through it and then instead of just,744.899,3.781
332
+ like watching a brain dead boring video,746.579,3.961
333
+ that nobody actually cares about anyways,748.68,4.62
334
+ you can have an interactive experience,750.54,4.799
335
+ which one will make the training more,753.3,4.8
336
+ engaging uh and that that level of,755.339,4.921
337
+ Engagement means that people will enjoy,758.1,4.739
338
+ it more and they'll retain it better,760.26,4.44
339
+ and then of course that's you know,762.839,3.3
340
+ corporate training is one thing but,764.7,3.42
341
+ there's also there's also the uh,766.139,4.921
342
+ acquisition of new skills so let's say,768.12,4.56
343
+ you're bringing you're onboarding a new,771.06,3.839
344
+ product or a new service or you're,772.68,3.719
345
+ shipping a new product and service and,774.899,3.481
346
+ you need to teach people about it so,776.399,3.541
347
+ remember that learning is very,778.38,3.899
348
+ cognitively demanding and AI chat Bots,779.94,4.62
349
+ are already good at tutoring and,782.279,4.441
350
+ teaching and so this again is a way,784.56,4.079
351
+ where you can use the AI not to replace,786.72,4.32
352
+ humans but to augment humans and bring,788.639,3.781
353
+ them to the next level,791.04,4.56
354
+ creativity synthesizing new ideas is,792.42,5.099
355
+ also very very difficult it's very,795.6,4.979
356
+ cognitively demanding and while,797.519,5.461
357
+ Technologies like chat GPT and others,800.579,4.26
358
+ are not technically creating anything,802.98,3.78
359
+ new most humans don't create anything,804.839,3.901
360
+ new anyways we just remix stuff that,806.76,3.72
361
+ we've experienced which is not any,808.74,3.42
362
+ different from what generative AI does,810.48,4.14
363
+ and also within the context of business,812.16,4.2
364
+ you don't necessarily need to create,814.62,5.04
365
+ anything entirely 100 new what you do,816.36,5.34
366
+ need to do is take the things that you,819.66,5.46
367
+ know and then deploy them with with good,821.7,6.12
368
+ application you need to find the right,825.12,4.32
369
+ solution for the problem that you're,827.82,2.639
370
+ facing,829.44,3.36
371
+ whether it's a marketing problem legal,830.459,4.201
372
+ Finance HR right if you need to come up,832.8,4.86
373
+ with a creative solution for an HR issue,834.66,6.119
374
+ again chat GPT knows enough about the,837.66,5.28
375
+ human condition and emotions and all,840.779,3.3
376
+ this other stuff to help you think,842.94,2.82
377
+ through and come up with Creative,844.079,4.26
378
+ Solutions uh whatever it is that you're,845.76,4.68
379
+ doing and then finally planning as I,848.339,4.201
380
+ mentioned planning is very cognitively,850.44,3.959
381
+ demanding and this is this includes,852.54,4.32
382
+ forecasting anticipation or even,854.399,4.801
383
+ predicting the future and so basically,856.86,3.84
384
+ one thing that you can do is you can ask,859.2,5.16
385
+ chat gbt say like hey uh you know the,860.7,5.22
386
+ these are the business trends that I'm,864.36,3.479
387
+ seeing this is what the Market's doing,865.92,3.96
388
+ help me think through this and it it's,867.839,3.901
389
+ not necessarily going to be 100 right,869.88,4.199
390
+ but that's not the point what I'm saying,871.74,3.96
391
+ is you're not using it to replace your,874.079,3.06
392
+ ability to plan you're using it to,875.7,3.66
393
+ augment your ability to plan,877.139,4.38
394
+ so the golden rule for all of this one,879.36,4.14
395
+ of the best ways you can use generative,881.519,4.26
396
+ AI this Golden Rule is preserve human,883.5,4.68
397
+ cognition for when you really need it so,885.779,5.641
398
+ this design principle goes uh it one,888.18,5.88
399
+ it's it's relatively old this is one of,891.42,4.56
400
+ the chief design principles in the Unix,894.06,4.2
401
+ operating system which treats human,895.98,5.34
402
+ cognition as a scarce resource but also,898.26,5.28
403
+ this is how jet fighters work so the,901.32,5.1
404
+ avionics research industry uh for,903.54,5.58
405
+ particularly for military realized that,906.42,4.919
406
+ you needed to treat a pilot's cognitive,909.12,4.86
407
+ attention as the scare as a very scarce,911.339,5.401
408
+ resource and so the avionics in jet,913.98,5.76
409
+ fighters only gets their attention when,916.74,4.86
410
+ they absolutely need it,919.74,4.08
411
+ and so if you watch the top gun Maverick,921.6,3.479
412
+ movie,923.82,2.879
413
+ um one of the scenes where the plane is,925.079,3.661
414
+ like spiraling towards the ground and it,926.699,3.721
415
+ the alarm starts where it's like you,928.74,4.14
416
+ know pull up pull up pull you know and,930.42,4.68
417
+ then as the uh as the level of danger,932.88,5.759
418
+ Rises the alarm changes right and so,935.1,6.419
419
+ that change in tone uh what that does is,938.639,4.5
420
+ it calls the Pilot's attention to,941.519,3.721
421
+ something that is at that they need to,943.139,4.56
422
+ pay attention to immediately uh and so,945.24,5.159
423
+ that is an example of how uh attention,947.699,5.221
424
+ engineering can be used for good rather,950.399,3.781
425
+ than the way that it's used in social,952.92,4.08
426
+ media and this is just an example but if,954.18,5.94
427
+ you the the whole point here is that the,957.0,5.579
428
+ the point of cognitive offload is to,960.12,5.1
429
+ treat your employees brain power those,962.579,4.38
430
+ those two hours of high performance,965.22,3.66
431
+ cognitive labor as a very scarce,966.959,4.62
432
+ resource so that instead of you know,968.88,5.1
433
+ using their raw brain power to do the,971.579,4.981
434
+ work manually instead they use a machine,973.98,4.38
435
+ to offload as much of that as possible,976.56,4.2
436
+ so that then they can protect their,978.36,4.919
437
+ productivity for or elsewhere,980.76,4.92
438
+ so here's some questions to ask so these,983.279,4.201
439
+ are based on questions that I often ask,985.68,5.219
440
+ when I'm Consulting uh and this is these,987.48,5.099
441
+ are the questions that I ask to zoom,990.899,4.62
442
+ into and find okay where is it that you,992.579,5.161
443
+ need to use generative Ai and how do you,995.519,4.44
444
+ employ it so the first question what,997.74,3.959
445
+ activities are the most menial tedious,999.959,4.201
446
+ and time consuming what do you avoid,1001.699,5.161
447
+ doing because it's just too painful,1004.16,5.7
448
+ so this is a really good question I,1006.86,4.38
449
+ usually start with something like this,1009.86,3.539
450
+ especially if if uh you know my client,1011.24,4.08
451
+ or whatever doesn't really know what,1013.399,3.36
452
+ they need or know how to deploy,1015.32,3.0
453
+ generative AI it's like okay what are,1016.759,3.481
454
+ your pain points and of course this is a,1018.32,3.66
455
+ business practice that is as old as,1020.24,3.719
456
+ business itself what are your pain,1021.98,3.66
457
+ points let's see if we can address those,1023.959,4.62
458
+ pain points with generative AI,1025.64,4.98
459
+ and you know the the way that it can,1028.579,3.6
460
+ address it is you know look at cognitive,1030.62,3.36
461
+ offload and new capabilities,1032.179,3.841
462
+ the second question is what activities,1033.98,4.62
463
+ actually add value what is the,1036.02,4.559
464
+ objectively uh beneficial business,1038.6,3.78
465
+ output of a given activity or in other,1040.579,4.141
466
+ words what is the value proposition what,1042.38,3.959
467
+ is what is the activity that you're,1044.72,3.66
468
+ doing that is actually giving something,1046.339,4.321
469
+ to your customers what are you getting,1048.38,4.14
470
+ paid to do what is the outcome that,1050.66,3.84
471
+ they're looking for because if you apply,1052.52,4.26
472
+ generative AI directly to your outputs,1054.5,4.22
473
+ to the things that bring in Revenue,1056.78,4.68
474
+ obviously that's good for business what,1058.72,4.3
475
+ a lot of startups are doing right now is,1061.46,3.48
476
+ trying to invent new products and new,1063.02,4.38
477
+ services to create entirely new revenue,1064.94,4.08
478
+ streams but there's plenty of existing,1067.4,4.2
479
+ businesses out there that could probably,1069.02,5.159
480
+ help their Top Line you know get the get,1071.6,5.66
481
+ the net uh income up by,1074.179,6.24
482
+ providing more goods and services either,1077.26,5.919
483
+ at a cheaper price or adding some novel,1080.419,4.341
484
+ features to their products and services,1083.179,4.5
485
+ but by by actually paying attention to,1084.76,6.159
486
+ the objective business value of any,1087.679,4.981
487
+ activity and this it doesn't necessarily,1090.919,3.541
488
+ have to be the business outputs it could,1092.66,3.78
489
+ be the outputs of a given Department the,1094.46,3.839
490
+ HR department your legal department your,1096.44,3.42
491
+ it Department your marketing department,1098.299,3.601
492
+ right because one of the what is the,1099.86,3.78
493
+ output of the marketing department you,1101.9,3.899
494
+ generate you generate leads which can,1103.64,3.419
495
+ lead to revenue,1105.799,3.12
496
+ so that's what I mean by outputs what is,1107.059,4.681
497
+ the objective value added number three,1108.919,5.161
498
+ how do you know that an activity is,1111.74,3.42
499
+ successful,1114.08,4.68
500
+ whether it's a kpi intuition experience,1115.16,5.7
501
+ what is it that you actually pay,1118.76,4.5
502
+ attention to to know that you have been,1120.86,5.22
503
+ successful the reason that this is a,1123.26,5.159
504
+ good question for generative AI is,1126.08,4.44
505
+ because sometimes it's not obvious how,1128.419,3.961
506
+ generative AI can help you be more,1130.52,4.56
507
+ successful so if they're like you know,1132.38,4.26
508
+ if you're looking for an intangible,1135.08,3.42
509
+ right like maybe you need to build,1136.64,4.56
510
+ customer trust or build rapport that is,1138.5,5.7
511
+ something that uh that might surprise,1141.2,4.56
512
+ you but chat GPT and other similar,1144.2,3.0
513
+ Technologies can actually help you with,1145.76,5.159
514
+ you say like uh hey I you know I'm gonna,1147.2,6.78
515
+ I've got a customer that I'm cultivating,1150.919,4.801
516
+ um let me feed you in the profile for,1153.98,3.54
517
+ this customer let's talk about this,1155.72,3.18
518
+ customer and let's connect with what,1157.52,3.36
519
+ they actually need right how can I how,1158.9,3.659
520
+ can I make this customer trust me how,1160.88,4.08
521
+ can I earn their trust right and so,1162.559,4.98
522
+ that's just one example of where if it's,1164.96,5.7
523
+ a marketing a sales sales team,1167.539,5.661
524
+ it can generative AI can help them,1170.66,5.519
525
+ increase their level of success if you,1173.2,4.599
526
+ pay attention to what it is that,1176.179,3.481
527
+ actually makes them successful and it,1177.799,3.12
528
+ does not necessarily have to be,1179.66,2.639
529
+ something that you can put a number on,1180.919,3.961
530
+ in fact a lot of business is something,1182.299,4.141
531
+ that is very difficult to measure,1184.88,5.1
532
+ objectively now that being said chat GPT,1186.44,6.0
533
+ doesn't necessarily need metrics this is,1189.98,3.9
534
+ one of the biggest differences between,1192.44,2.94
535
+ conventional machine learning and,1193.88,3.36
536
+ artificial intelligence and generative,1195.38,4.86
537
+ AI it operates in qualitative space not,1197.24,5.16
538
+ quantitative space this is the biggest,1200.24,4.679
539
+ fundamental difference between data,1202.4,4.019
540
+ science in the past and data science,1204.919,4.441
541
+ today is that pivot from quantitative,1206.419,5.76
542
+ data numbers forecast linear regression,1209.36,5.04
543
+ that sort of thing to qualitative,1212.179,4.201
544
+ information what is it that this person,1214.4,4.019
545
+ likes and why and how do you earn their,1216.38,4.5
546
+ trust and finally question number four,1218.419,4.861
547
+ what activities are the highest priority,1220.88,5.34
548
+ or highest stakes in other words where,1223.28,4.8
549
+ would having an extra brain or an extra,1226.22,4.26
550
+ set of eyes make the most difference,1228.08,5.64
551
+ so this is something where uh often if,1230.48,4.439
552
+ something is high priority or high,1233.72,3.42
553
+ stakes that is where that's like the,1234.919,4.201
554
+ sweet spot right that is that is the,1237.14,3.18
555
+ meat and potatoes of your business,1239.12,3.66
556
+ because that is the that is the set of,1240.32,5.099
557
+ tasks that only humans can do right now,1242.78,5.1
558
+ and they are they're going to be the,1245.419,4.62
559
+ bottleneck right so what I mean by that,1247.88,4.38
560
+ is uh I used to work at managed service,1250.039,5.401
561
+ providers and so you know one of the,1252.26,6.18
562
+ biggest things was uptime if the if the,1255.44,5.099
563
+ data center goes down or a service goes,1258.44,4.619
564
+ down that's money out the door so that,1260.539,4.26
565
+ means that's a very high priority task,1263.059,4.021
566
+ and so if I were Consulting for a,1264.799,3.601
567
+ managed service provider and they said,1267.08,3.54
568
+ Dave how can we use generative AI to,1268.4,3.84
569
+ help our bottom line I said what are the,1270.62,3.72
570
+ what are the biggest uh priorities that,1272.24,4.2
571
+ you have and it's like well if we have a,1274.34,4.44
572
+ severity one let's you know we need to,1276.44,5.04
573
+ all hands on deck and one thing this is,1278.78,4.139
574
+ just from my experience in technology,1281.48,3.24
575
+ one thing is that a lot of people are,1282.919,3.241
576
+ very reactive,1284.72,3.42
577
+ I actually had to leave a job because my,1286.16,4.259
578
+ boss did not understand the value of,1288.14,4.5
579
+ eliminating technical debt and so he's,1290.419,4.441
580
+ just like oh well we have fire alarms on,1292.64,4.019
581
+ a daily basis and that's just the way,1294.86,3.179
582
+ things are and I said no the hell it,1296.659,3.661
583
+ isn't like prevention is what we should,1298.039,4.441
584
+ be doing right if if your fire,1300.32,3.66
585
+ department is over taxed because,1302.48,3.48
586
+ everything is burning down maybe you,1303.98,4.199
587
+ need new fire code he didn't get that so,1305.96,4.98
588
+ I left that job but my point is is that,1308.179,5.041
589
+ there there are going to be key risks,1310.94,4.8
590
+ and key business activities that are,1313.22,4.86
591
+ responsible for a good chunk of the,1315.74,4.26
592
+ money coming in and the money going out,1318.08,3.599
593
+ so that's what I mean by high priority,1320.0,3.84
594
+ and high stakes you pay attention to,1321.679,3.961
595
+ those things first and you fix them as,1323.84,4.98
596
+ much as you can by adding generative AI,1325.64,6.0
597
+ uh to make you know to to change those,1328.82,4.44
598
+ ratios so they got more coming in and,1331.64,4.68
599
+ less going out uh you know you can ask,1333.26,5.88
600
+ and as a CEO you can ask these questions,1336.32,5.46
601
+ of every department head you can also,1339.14,4.32
602
+ look at it from an internal perspective,1341.78,3.66
603
+ or an external perspective how do you,1343.46,3.719
604
+ engage with your customer your vendors,1345.44,3.96
605
+ your clients how do you engage with your,1347.179,3.901
606
+ internal stakeholders how do you engage,1349.4,3.659
607
+ with your uh your financial stakeholders,1351.08,3.3
608
+ your shareholders,1353.059,4.681
609
+ these are you can generative AI can,1354.38,4.799
610
+ apply to literally every level of,1357.74,2.88
611
+ business,1359.179,4.38
612
+ okay so on the tool side so we talked,1360.62,4.679
613
+ about the people in the processes let's,1363.559,3.24
614
+ talk about the tools,1365.299,4.86
615
+ uh first one thing that you can do the,1366.799,5.041
616
+ best one of the approaches is that you,1370.159,4.741
617
+ can create drop-in tools so one thing is,1371.84,4.8
618
+ that a lot of people get wrong is,1374.9,3.24
619
+ they're trying is they try and build,1376.64,3.6
620
+ tools that require a fundamentally,1378.14,3.779
621
+ different workflow and it's a,1380.24,2.88
622
+ fundamentally different approach to,1381.919,3.841
623
+ business and I this is something that I,1383.12,4.799
624
+ often talk about with uh for startups,1385.76,3.84
625
+ where they're like oh we've got this,1387.919,3.301
626
+ great new tool that we're building it's,1389.6,3.48
627
+ you know based on generative Ai and I'm,1391.22,4.02
628
+ like okay great but how are businesses,1393.08,4.92
629
+ going to use it is this gonna is is this,1395.24,5.4
630
+ gonna require them to adopt an entirely,1398.0,4.86
631
+ new workflow is it going to replace,1400.64,5.94
632
+ existing tools or ideally it's a drop-in,1402.86,5.76
633
+ tool that just goes in alongside every,1406.58,4.26
634
+ other tool in their toolbox so for,1408.62,3.419
635
+ instance in the marketing department,1410.84,3.54
636
+ they already use file servers they,1412.039,5.161
637
+ already use Photoshop they use Adobe and,1414.38,5.159
638
+ and image services,1417.2,4.92
639
+ stock image services so in that case,1419.539,4.5
640
+ image generators like stable diffusion,1422.12,3.98
641
+ and mid-journey and adobe's Firefly,1424.039,5.221
642
+ these are all drop-in tools where they,1426.1,4.959
643
+ fit into the existing workflows,1429.26,4.44
644
+ perfectly and so when you're whether,1431.059,4.62
645
+ you're looking at adopting a generative,1433.7,4.859
646
+ AI tool or service make sure that it,1435.679,5.701
647
+ will fit into your existing workflows,1438.559,4.081
648
+ because that's where you're going to get,1441.38,3.179
649
+ the most value out of it if it's a tool,1442.64,3.419
650
+ that requires a fundamentally different,1444.559,4.5
651
+ approach the the path to adoption is,1446.059,5.641
652
+ just that much harder and I you know I,1449.059,4.801
653
+ saw this on the back in my it,1451.7,4.38
654
+ infrastructure days all the time where,1453.86,3.42
655
+ it's like yeah there's a great new,1456.08,3.42
656
+ powerful tool but like we can't really,1457.28,3.84
657
+ use it because it doesn't integrate with,1459.5,3.419
658
+ anything else that we do and it's going,1461.12,3.36
659
+ to fundamentally change the way we do,1462.919,3.601
660
+ business which just means it's not a,1464.48,4.199
661
+ good fit and this is this is something,1466.52,4.92
662
+ for startup CEOs to keep in mind it's,1468.679,5.521
663
+ also something for CEOs that are not,1471.44,6.119
664
+ Tech Centric or AI Centric when adopting,1474.2,4.8
665
+ AI tools,1477.559,3.181
666
+ make sure that you make sure that you,1479.0,4.32
667
+ get those drop-in tools one another,1480.74,3.9
668
+ thing to keep in mind is that general,1483.32,3.3
669
+ purpose tools like chat GPT are often,1484.64,4.26
670
+ the hardest to use because you have to,1486.62,4.02
671
+ know a lot about the tool you have to,1488.9,3.36
672
+ know a lot about what it is that you're,1490.64,3.06
673
+ trying to do and you have to interact,1492.26,2.94
674
+ with it in a very fundamentally,1493.7,2.64
675
+ different way than you've ever,1495.2,4.14
676
+ interacted with any uh technology tool,1496.34,4.199
677
+ in the past,1499.34,4.199
678
+ so because of that part of what makes a,1500.539,5.041
679
+ a drop-in tool is going to be the,1503.539,4.02
680
+ affordances and user experience design,1505.58,4.56
681
+ that says oh this is just like this,1507.559,4.62
682
+ other piece of software that I use this,1510.14,4.14
683
+ other app that I use all the time it,1512.179,4.5
684
+ just has some AI baked into it and it's,1514.28,4.2
685
+ really easy to use this is one of the,1516.679,4.201
686
+ things that I consulted with in the,1518.48,3.48
687
+ early days,1520.88,2.52
688
+ was there was a lot of people just,1521.96,4.14
689
+ putting together generic dashboards of,1523.4,4.62
690
+ AI tools and I'm like you have no,1526.1,4.86
691
+ coherent strategy there's nothing about,1528.02,5.399
692
+ this that just stands out and says Ah I,1530.96,5.099
693
+ know exactly what this tool is for and,1533.419,5.221
694
+ you know so basically what you're trying,1536.059,4.441
695
+ to optimize for is make your generative,1538.64,4.32
696
+ AI tool as intuitive as possible where,1540.5,3.9
697
+ you can just pick someone off the street,1542.96,3.42
698
+ put them in front of the app and they,1544.4,5.159
699
+ say oh I know I one I know exactly what,1546.38,4.74
700
+ this does and I know exactly how to use,1549.559,4.5
701
+ it just by guessing if you can if you,1551.12,4.86
702
+ can do that then you uh almost certainly,1554.059,3.901
703
+ have a drop in tool,1555.98,3.9
704
+ now the other thing that you can do is,1557.96,4.56
705
+ you can improve existing systems so this,1559.88,4.679
706
+ could be you know if you've got teams if,1562.52,3.72
707
+ you've got slack if you've got exchange,1564.559,4.561
708
+ you know or or even log services or,1566.24,4.439
709
+ whatever and of course that's just all,1569.12,4.2
710
+ looking at it from the I.T side there's,1570.679,4.521
711
+ plenty of other business platforms,1573.32,4.38
712
+ whether it's your financial workflows,1575.2,4.5
713
+ your marketing workflows,1577.7,5.16
714
+ whether if you if you if you're not,1579.7,5.32
715
+ trying to add a new tool what you can do,1582.86,5.28
716
+ is if you have access to the code base,1585.02,4.98
717
+ uh for you know your internally,1588.14,4.8
718
+ developed tools you can add generative,1590.0,6.419
719
+ AI uh for at some of these uh decision,1592.94,5.94
720
+ points in order to make it just a little,1596.419,4.74
721
+ bit better a little bit faster so the,1598.88,3.779
722
+ primary example I have in my head is,1601.159,3.481
723
+ servicenow and other,1602.659,3.781
724
+ um internal management things like that,1604.64,4.5
725
+ so let's say you have ticket routing,1606.44,5.16
726
+ you've got uh follow-ups you've got,1609.14,4.86
727
+ emails so basically like you know,1611.6,5.4
728
+ instead of having uh humans do a lot of,1614.0,5.159
729
+ the work you can have the machine do a,1617.0,3.539
730
+ lot of the work for the humans and to,1619.159,3.421
731
+ say hey which one of these emails do you,1620.539,4.26
732
+ want to send to this customer as a,1622.58,5.28
733
+ follow-up uh or if there's a if there's,1624.799,4.98
734
+ a ticketing system you can have the,1627.86,4.26
735
+ ticketing system ask a few obvious,1629.779,4.26
736
+ questions before a human even looks at,1632.12,4.2
737
+ it so that there's by the time your,1634.039,3.901
738
+ ticket gets escalated to an actual,1636.32,4.5
739
+ engineer or whoever it gets to a few,1637.94,4.2
740
+ questions have already been asked,1640.82,3.42
741
+ immediately and so there's more context,1642.14,5.279
742
+ which can reduce your mttx,1644.24,5.34
743
+ another place that you can look at it is,1647.419,5.76
744
+ human intervention where in uh and it,1649.58,5.04
745
+ can either be routing to the correct,1653.179,2.821
746
+ human so I was actually just talking to,1654.62,3.48
747
+ a friend about this on the medical side,1656.0,4.2
748
+ uh who's at a startup trying to use,1658.1,4.559
749
+ generative AI which is uh if there's a,1660.2,4.32
750
+ if there's a patient need how do you,1662.659,3.661
751
+ write it to the route it to the correct,1664.52,4.38
752
+ medical provider that is a that is a,1666.32,4.2
753
+ great use case because you can feed a,1668.9,4.62
754
+ whole patient chart into the llm and say,1670.52,5.039
755
+ what what exactly competency what,1673.52,3.84
756
+ competencies does this person need right,1675.559,2.761
757
+ now,1677.36,2.34
758
+ um and then you get the you get the,1678.32,2.82
759
+ exact right thing and then you make sure,1679.7,4.14
760
+ that uh that that uh you know nurse or,1681.14,5.519
761
+ or specialist also gets the exact notes,1683.84,5.219
762
+ that they need uh without having to go,1686.659,4.14
763
+ talk to a you know a bunch of other,1689.059,4.321
764
+ people because I mean heck one of my one,1690.799,4.321
765
+ of my patreons several of my patreon,1693.38,3.6
766
+ supporters are in the medical field and,1695.12,3.48
767
+ they talk about just how annoying it is,1696.98,3.72
768
+ when charts aren't updated correctly and,1698.6,4.559
769
+ when uh Physicians and nurses don't talk,1700.7,4.2
770
+ to each other or they you know forget to,1703.159,4.26
771
+ pass something on so again you can,1704.9,5.58
772
+ reduce human interaction uh or sorry you,1707.419,4.14
773
+ can reduce the need for human,1710.48,3.12
774
+ intervention by having some of these,1711.559,3.901
775
+ interactions automated,1713.6,4.38
776
+ and then finally cognitive offload if,1715.46,4.079
777
+ you if you go hunting across your,1717.98,2.939
778
+ organization for the things that are,1719.539,3.781
779
+ really demanding those are ways that you,1720.919,4.38
780
+ can improve existing systems because you,1723.32,4.02
781
+ know you reduce the frustration that,1725.299,3.661
782
+ will increase productivity increase,1727.34,3.9
783
+ satisfaction and that also just all,1728.96,4.26
784
+ speaks to the bottom line,1731.24,4.5
785
+ okay so that was people processes and,1733.22,4.74
786
+ tools let's talk about better faster and,1735.74,4.919
787
+ cheaper otherwise uh how do you get the,1737.96,4.319
788
+ best return on investment from any,1740.659,3.361
789
+ generative AI initiative whether it's a,1742.279,2.941
790
+ product or service that you're thinking,1744.02,2.759
791
+ about adopting or one that you're,1745.22,3.54
792
+ building uh internally,1746.779,4.801
793
+ so the the primary three questions here,1748.76,5.34
794
+ that you should ask yourself is uh what,1751.58,4.44
795
+ can generative AI do better than humans,1754.1,4.14
796
+ what can it do faster than humans and,1756.02,4.32
797
+ what can it do cheaper than humans and,1758.24,3.419
798
+ so this is what I mean where it's like,1760.34,3.719
799
+ okay if you can offset some of the labor,1761.659,5.821
800
+ costs uh you can ideally hopefully you,1764.059,5.401
801
+ preserve your existing head count but,1767.48,3.6
802
+ you take your organization to the next,1769.46,3.48
803
+ level and you can double triple,1771.08,4.62
804
+ quadruple productivity while also doing,1772.94,4.859
805
+ cognitive offload so your your human,1775.7,4.74
806
+ employees are happier,1777.799,4.98
807
+ so this is a universal truth of,1780.44,4.8
808
+ technology technology has always been a,1782.779,5.4
809
+ force multiplier so you know the the,1785.24,5.22
810
+ Industrial Revolution example that I,1788.179,3.961
811
+ always love to give is the tractor,1790.46,3.54
812
+ tractors are very complicated they're,1792.14,4.019
813
+ expensive heavy pieces of equipment but,1794.0,4.32
814
+ we still use them because they have the,1796.159,4.62
815
+ physical power output of literally,1798.32,5.459
816
+ hundreds of horses uh and so you get rid,1800.779,4.681
817
+ of the you instead of feeding and,1803.779,3.78
818
+ providing veterinary care for hundreds,1805.46,4.14
819
+ of horses you have a tractor that all it,1807.559,4.201
820
+ does is drink gasoline need some oil and,1809.6,3.54
821
+ some replacement parts every now and,1811.76,2.22
822
+ then,1813.14,3.96
823
+ generative AI is a cognitive Force,1813.98,5.52
824
+ multiplier so let me say that again the,1817.1,4.26
825
+ the first industrial or the first three,1819.5,4.399
826
+ industrial revolutions were more about,1821.36,5.28
827
+ uh communication Force multiplication,1823.899,5.461
828
+ and physical Force multiplication,1826.64,6.24
829
+ generative AI is the first example of a,1829.36,5.679
830
+ cognitive Force multiplier it doesn't,1832.88,4.14
831
+ just send email faster right because you,1835.039,3.721
832
+ know email came around in the 80s or,1837.02,3.48
833
+ whatever which is like okay cool,1838.76,3.899
834
+ communication now happens faster that's,1840.5,5.34
835
+ not really cognitive labor or crunching,1842.659,5.281
836
+ numbers right math definitely very,1845.84,4.38
837
+ cognitively demanding but this is a new,1847.94,4.56
838
+ era of of cognitive labor force,1850.22,5.699
839
+ multiplication so that's why this video,1852.5,5.88
840
+ has cognitive offload as a central,1855.919,4.86
841
+ lesson as something to look for when,1858.38,4.26
842
+ you're trying to integrate generative AI,1860.779,3.841
843
+ into your business,1862.64,2.94
844
+ better,1864.62,4.88
845
+ so uh keep your ear to the ground but,1865.58,7.02
846
+ you know basically chat GPT has already,1869.5,5.5
847
+ demonstrated Superior uh clinical,1872.6,4.38
848
+ judgment than many doctors and this is,1875.0,4.5
849
+ according to Harvard research it also,1876.98,4.559
850
+ has better uh executive judgment,1879.5,4.98
851
+ executive reasoning uh than many people,1881.539,5.301
852
+ and this includes managers and some CEOs,1884.48,5.22
853
+ and so in this case look for the,1886.84,4.66
854
+ activities where generative AI is,1889.7,5.28
855
+ demonstrably superior to humans this,1891.5,4.919
856
+ will give you obviously a competitive,1894.98,3.12
857
+ Advantage but if it is better than you,1896.419,4.86
858
+ use the machine right humans can go use,1898.1,5.28
859
+ a rake and a hoe and and and and and,1901.279,4.921
860
+ plow uh the field but we don't have,1903.38,4.5
861
+ humans doing it by hand anymore because,1906.2,3.599
862
+ the machine is better so just because,1907.88,3.6
863
+ you can do something doesn't mean that,1909.799,3.781
864
+ you should especially if the machine is,1911.48,4.02
865
+ better than you at it now again this,1913.58,4.56
866
+ doesn't necessarily mean get handed over,1915.5,4.98
867
+ to the machine entirely but you should,1918.14,4.38
868
+ be using the machine to augment your,1920.48,5.1
869
+ abilities so in the case of doctors if,1922.52,6.18
870
+ there is any room for doubt maybe,1925.58,5.219
871
+ doctors should be required or maybe not,1928.7,5.099
872
+ required but you know as part of the the,1930.799,4.801
873
+ medical resourcing system like you know,1933.799,3.541
874
+ epic and Cerner and stuff,1935.6,3.72
875
+ you integrate some uh some language,1937.34,3.66
876
+ model technology into that where it's,1939.32,3.78
877
+ like okay cool uh based on this,1941.0,4.08
878
+ patient's chart and test results have,1943.1,4.38
879
+ you thought of X Y and Z uh just enough,1945.08,4.14
880
+ just enough to clue in that the,1947.48,3.54
881
+ physician on the direction that maybe,1949.22,4.199
882
+ they need to go in order to augment,1951.02,4.379
883
+ human judgment and augment human,1953.419,4.62
884
+ executive reasoning now one thing about,1955.399,6.481
885
+ this is that unless you have a you know,1958.039,5.701
886
+ a product or service where they've done,1961.88,4.5
887
+ the work and they can say look this this,1963.74,4.62
888
+ AI service that we've built is,1966.38,4.26
889
+ demonstrably better than humans you're,1968.36,3.48
890
+ going to need to figure that out for,1970.64,2.639
891
+ yourself through experimentation and,1971.84,3.3
892
+ consultation,1973.279,2.581
893
+ um,1975.14,3.0
894
+ and also as I mentioned earlier you will,1975.86,3.6
895
+ need to start measuring some things,1978.14,3.539
896
+ qualitatively rather than quantitatively,1979.46,5.76
897
+ so if if the objective is patient,1981.679,6.061
898
+ satisfaction or customer satisfaction or,1985.22,4.559
899
+ trust or any number of those other,1987.74,4.08
900
+ intangible things they can be a lot,1989.779,4.14
901
+ harder to measure but fortunately,1991.82,4.5
902
+ language models can help you measure,1993.919,5.461
903
+ those things through approximations,1996.32,4.8
904
+ and so what I mean by that is just ask,1999.38,3.24
905
+ chat GPT,2001.12,2.939
906
+ um you know how can I measure customer,2002.62,3.779
907
+ satisfaction or trust or whatever and,2004.059,3.901
908
+ it'll give you some cool ideas about how,2006.399,3.481
909
+ you can measure that and then you say,2007.96,2.939
910
+ well what's the difference between,2009.88,3.179
911
+ quantitative and qualitative trust me if,2010.899,3.481
912
+ you do that experiment you'll see what,2013.059,2.401
913
+ I'm talking about,2014.38,3.539
914
+ uh but again this is no different from,2015.46,4.559
915
+ using machines to do things that humans,2017.919,5.1
916
+ either couldn't or shouldn't do uh you,2020.019,5.64
917
+ know a forklift right yes a human could,2023.019,4.681
918
+ you know unpack a pallet and put,2025.659,3.601
919
+ everything in the you know on a new,2027.7,2.88
920
+ palette in the truck but it's easier to,2029.26,3.12
921
+ just use the forklift to pick up the,2030.58,3.54
922
+ pallet as a whole and put it in the,2032.38,4.08
923
+ truck for you likewise there's going to,2034.12,4.439
924
+ be some things that generative AI it can,2036.46,4.079
925
+ just do that a human can't,2038.559,3.661
926
+ um or that would take a human way too,2040.539,4.14
927
+ long to do so just offload those things,2042.22,4.14
928
+ and let the machine do it because it's,2044.679,3.66
929
+ already better than the human,2046.36,6.72
930
+ faster so generative AI is super super,2048.339,8.701
931
+ fast it can read literally like 20 pages,2053.08,6.779
932
+ of text in a few seconds no human is,2057.04,5.52
933
+ capable of that and then it can use that,2059.859,4.081
934
+ text it can either summarize it,2062.56,4.02
935
+ brainstorm extend it it can draft a new,2063.94,4.919
936
+ version all of this happens really,2066.58,3.839
937
+ really fast and of course time is money,2068.859,4.32
938
+ right velocity is speed plus Direction,2070.419,4.2
939
+ so you got to make sure you're going in,2073.179,4.2
940
+ the right direction but basically so,2074.619,4.141
941
+ this is another thing that I do when I'm,2077.379,4.081
942
+ Consulting is I say what takes the,2078.76,5.28
943
+ longest you know so when I consult with,2081.46,4.679
944
+ scientists and academics it's like oh,2084.04,5.16
945
+ well you know writing grants is takes,2086.139,4.5
946
+ forever,2089.2,3.179
947
+ um you know Grant proposals Grant,2090.639,4.921
948
+ reviews that takes forever or writing,2092.379,4.98
949
+ research papers and revising research,2095.56,3.84
950
+ papers takes a long time,2097.359,4.98
951
+ whatever business activities take the,2099.4,6.06
952
+ longest those might be good targets uh,2102.339,5.641
953
+ for generative AI uh not related to,2105.46,4.639
954
+ generative AI but many many years ago,2107.98,5.52
955
+ earlier in my it infrastructure days I,2110.099,5.201
956
+ was working at a small uh medical,2113.5,5.28
957
+ startup medical software startup and I I,2115.3,5.34
958
+ we got a couple new servers and I added,2118.78,3.42
959
+ these new servers to their build Network,2120.64,4.5
960
+ and so then their software builds took,2122.2,5.639
961
+ went from 26 hours to two and they said,2125.14,4.5
962
+ well Dave you threw off our entire,2127.839,4.141
963
+ workflow because instead of kicking off,2129.64,3.9
964
+ a build and then just coming back the,2131.98,3.48
965
+ next day we just go to lunch and come,2133.54,4.039
966
+ back and now we have to keep working,2135.46,5.22
967
+ but again if you can I mean and,2137.579,4.721
968
+ Technology can do this you can shorten,2140.68,4.439
969
+ things by a factor of 10x or 100x I,2142.3,4.319
970
+ usually look at the things that can,2145.119,4.201
971
+ happen that we can shorten by 100x say,2146.619,4.861
972
+ okay what takes the longest here,2149.32,4.56
973
+ we've got some lawyer friends right the,2151.48,3.72
974
+ you know there's there's a bunch of,2153.88,2.699
975
+ active lawsuits out there and I said,2155.2,4.5
976
+ okay given that we have generative AI,2156.579,5.161
977
+ that can read and summarize you know,2159.7,4.56
978
+ hundreds of pages of legal documents,2161.74,5.339
979
+ really fast how can I build a tool that,2164.26,4.92
980
+ is going to really help you get to the,2167.079,4.561
981
+ bottom of these things really quick uh,2169.18,5.22
982
+ so again looking looking at ways that,2171.64,5.34
983
+ generative AI can speed up really basic,2174.4,5.04
984
+ stuff just reading right don't,2176.98,4.619
985
+ underestimate the power of speeding up,2179.44,4.08
986
+ really basic tasks,2181.599,5.281
987
+ uh so another example is that I have I,2183.52,6.12
988
+ I've built my own tools that I use for,2186.88,5.58
989
+ uh for helping revise my writing,2189.64,4.92
990
+ um Chad GPT still sucks at writing by,2192.46,3.24
991
+ the way,2194.56,2.94
992
+ um but so I don't use it for writing I,2195.7,3.84
993
+ use it for revisions and providing,2197.5,3.3
994
+ feedback because that's something that,2199.54,2.88
995
+ is really good at it says Hey I just,2200.8,3.24
996
+ read this whole chapter let me give you,2202.42,3.419
997
+ some feedback on it and it gives really,2204.04,3.36
998
+ good feedback,2205.839,3.121
999
+ I know because I've paid a professional,2207.4,4.38
1000
+ editor and it gives me uh feedback at a,2208.96,4.8
1001
+ very similar level as a professional,2211.78,4.319
1002
+ editor now that being said it does miss,2213.76,4.92
1003
+ a lot of stuff but instead of a two,2216.099,4.921
1004
+ month turnaround I get a 30 minute,2218.68,4.62
1005
+ turnaround so that's what I mean by look,2221.02,3.96
1006
+ for things that you can accelerate by a,2223.3,4.68
1007
+ factor of 10x or 100x so let's see going,2224.98,5.54
1008
+ from two months or 60 days to 30 minutes,2227.98,6.599
1009
+ that's you know 60x and then instead of,2230.52,6.4
1010
+ hours it's minutes like so I mean you're,2234.579,6.121
1011
+ looking at a 200x speed up by using chat,2236.92,7.86
1012
+ GPT API for getting uh feedback rather,2240.7,7.32
1013
+ than using a human so again like you,2244.78,5.819
1014
+ know those that level of speed up is,2248.02,4.5
1015
+ absolutely possible with generative AI,2250.599,3.541
1016
+ look for those and you're going to,2252.52,3.78
1017
+ really make a a very good difference in,2254.14,3.78
1018
+ some departments,2256.3,4.5
1019
+ and then finally cheaper uh here's the,2257.92,6.3
1020
+ thing is that a lot of stuff costs a lot,2260.8,5.4
1021
+ and human labor is one of the most,2264.22,5.46
1022
+ expensive parts of of uh many businesses,2266.2,6.06
1023
+ and the best expense is no expense so,2269.68,5.399
1024
+ what I mean by that is unfortunately we,2272.26,4.62
1025
+ are seeing where like many many,2275.079,4.141
1026
+ companies are doing huge huge layoffs as,2276.88,4.199
1027
+ they pivot and I don't know if those,2279.22,3.48
1028
+ jobs are ever coming back but that kind,2281.079,3.181
1029
+ of goes outside of the scope of this,2282.7,3.419
1030
+ video but,2284.26,4.02
1031
+ what I mean by that is that if there is,2286.119,4.561
1032
+ something that you can do cheaper with,2288.28,6.12
1033
+ AI than paying a human or you can,2290.68,5.82
1034
+ Empower a human to do some to do the,2294.4,4.5
1035
+ same task faster and therefore cheaper,2296.5,4.68
1036
+ that is kind of the direction to look at,2298.9,4.62
1037
+ so where can you lower costs with,2301.18,4.38
1038
+ generative AI this one is actually a lot,2303.52,3.42
1039
+ harder to do,2305.56,4.86
1040
+ because uh again it's it's better at,2306.94,5.1
1041
+ some things and it's certainly faster at,2310.42,3.54
1042
+ some things uh but you still need human,2312.04,4.02
1043
+ oversight you still need human uh you,2313.96,4.26
1044
+ know guess and check or whatever uh you,2316.06,5.039
1045
+ need experts supervising these systems,2318.22,5.04
1046
+ um but with that being said there are,2321.099,3.961
1047
+ ways that you can probably lower costs,2323.26,4.68
1048
+ because again chat gbt has a 20 a month,2325.06,4.92
1049
+ assistant it can do the work of,2327.94,3.78
1050
+ literally like thousands of dollars,2329.98,3.84
1051
+ worth of cognitive labor for you per,2331.72,3.06
1052
+ month,2333.82,2.34
1053
+ um so that you don't need to hire like a,2334.78,2.94
1054
+ research assistant or that sort of thing,2336.16,3.54
1055
+ which then frees up the you know,2337.72,4.92
1056
+ cognitive labor of other humans but,2339.7,5.399
1057
+ again look at where it's cheaper uh,2342.64,4.439
1058
+ generative AI in the form of image,2345.099,3.841
1059
+ generators much much cheaper than,2347.079,3.361
1060
+ graphic artists which is really really,2348.94,3.419
1061
+ unfortunate for the graphics artists out,2350.44,3.72
1062
+ there and I don't have a solution but,2352.359,3.961
1063
+ from a business perspective this says,2354.16,4.56
1064
+ like okay hey we can get a lot more art,2356.32,5.759
1065
+ done uh much faster and much cheaper uh,2358.72,5.34
1066
+ than than with the humans you still,2362.079,3.661
1067
+ often need humans to do touch-ups and,2364.06,3.36
1068
+ and that sort of thing and to even Drive,2365.74,4.379
1069
+ the machines but again much cheaper,2367.42,4.199
1070
+ because it is faster,2370.119,4.74
1071
+ you can also use it to do a SWOT,2371.619,4.98
1072
+ analyzes and that sort of thing again,2374.859,2.961
1073
+ that goes back to the cognitive,2376.599,3.841
1074
+ reasoning where you can use generative,2377.82,5.08
1075
+ AI to help look at and control those,2380.44,4.44
1076
+ outflows,2382.9,4.92
1077
+ and then so this is uh we're closing in,2384.88,5.28
1078
+ on the end of the video one thing that I,2387.82,3.66
1079
+ really want to point out particularly,2390.16,3.6
1080
+ for the for the managers middle managers,2391.48,5.28
1081
+ and the executives watching is that you,2393.76,4.98
1082
+ need to be using generative AI to,2396.76,3.839
1083
+ augment yourself,2398.74,3.839
1084
+ um whether this is using tools like chat,2400.599,4.321
1085
+ GPT to develop your sense of empathy and,2402.579,6.0
1086
+ to be more diplomatic uh to even be more,2404.92,5.699
1087
+ vulnerable to learn to be more,2408.579,4.861
1088
+ vulnerable with your customers your,2410.619,5.521
1089
+ employees uh your star players that sort,2413.44,5.58
1090
+ of thing you use that and you will,2416.14,5.219
1091
+ develop better relationships and and,2419.02,4.86
1092
+ you'll develop more trust and have a lot,2421.359,5.041
1093
+ more of that intangible benefit of,2423.88,5.76
1094
+ working with your employees and but,2426.4,5.219
1095
+ employees inside the company and then,2429.64,3.38
1096
+ customers outside the company,2431.619,4.98
1097
+ introspection so this is one of the most,2433.02,6.52
1098
+ unsung things that all leaders need to,2436.599,6.781
1099
+ do is using these tools whether it's,2439.54,5.88
1100
+ chat GPT or the reflective journaling,2443.38,4.52
1101
+ tool that I built or anything else,2445.42,5.04
1102
+ understanding how your own mind works,2447.9,5.14
1103
+ and What Makes You tick is absolutely,2450.46,4.92
1104
+ critical to being a good leader because,2453.04,3.78
1105
+ if you're doing things for the wrong,2455.38,3.479
1106
+ reason you need to be aware of that so,2456.82,3.36
1107
+ that you can fix that and make sure that,2458.859,2.901
1108
+ you're doing things for the right reason,2460.18,3.6
1109
+ introspection and the way that,2461.76,4.359
1110
+ generative AI can help with that is,2463.78,4.799
1111
+ really really good and then finally,2466.119,4.5
1112
+ smarter if you're not using generative,2468.579,4.861
1113
+ AI to learn more faster to make sure,2470.619,4.801
1114
+ that you have good understanding you,2473.44,4.98
1115
+ will be left behind and so this is,2475.42,4.86
1116
+ something like I know I'm saying that,2478.42,3.9
1117
+ like really bluntly but the fact of the,2480.28,3.78
1118
+ matter is if you're not using generative,2482.32,3.539
1119
+ AI to make yourself smarter to make,2484.06,4.86
1120
+ smarter decisions your competition is so,2485.859,5.041
1121
+ it's that simple,2488.92,4.8
1122
+ and then lastly ethics and courage,2490.9,4.679
1123
+ I've mentioned a few times during this,2493.72,3.66
1124
+ video that in some cases I think,2495.579,4.201
1125
+ generative AI will inevitably lead to,2497.38,5.3
1126
+ layoffs job loss and that sort of thing,2499.78,5.16
1127
+ uh there's going to be really tough,2502.68,5.62
1128
+ decisions ahead for a lot of people and,2504.94,6.899
1129
+ the competition May undercut you and you,2508.3,5.0
1130
+ might feel like you have to compromise,2511.839,4.081
1131
+ your principles and your values in order,2513.3,5.74
1132
+ to stay competitive the thing is it's a,2515.92,5.159
1133
+ foregone conclusion that technology will,2519.04,3.9
1134
+ will disrupt markets do you remember,2521.079,4.141
1135
+ borders borders imploded because of,2522.94,4.38
1136
+ Amazon that's just the name of the game,2525.22,4.5
1137
+ so if you need to close the doors and,2527.32,4.259
1138
+ pivot maybe that's what you need to do,2529.72,3.96
1139
+ and it really sucks because nobody wants,2531.579,3.601
1140
+ to go out of business nobody wants to,2533.68,3.54
1141
+ lay off you know hundreds or thousands,2535.18,4.02
1142
+ of employees because you're going out of,2537.22,4.5
1143
+ business that being said it's probably,2539.2,4.34
1144
+ going to happen,2541.72,4.16
1145
+ now even if you don't go out of business,2543.54,4.84
1146
+ layoffs and pivots are coming they're,2545.88,4.239
1147
+ actively happening,2548.38,2.88
1148
+ um you know like you remember telephone,2550.119,3.361
1149
+ operators telephone industry didn't go,2551.26,4.8
1150
+ away telephone operators did and so,2553.48,4.26
1151
+ going through these pivots is going to,2556.06,4.26
1152
+ be very difficult and and very painful,2557.74,3.9
1153
+ for some people,2560.32,3.36
1154
+ so what I want to leave you with is this,2561.64,4.32
1155
+ idea that there are three guiding,2563.68,4.14
1156
+ principles that you should probably keep,2565.96,6.0
1157
+ in mind as you Embrace generative Ai and,2567.82,7.259
1158
+ that is Trust dignity and respect so,2571.96,5.22
1159
+ first make decisions that prioritize,2575.079,5.101
1160
+ earning and keeping trust once trust is,2577.18,4.86
1161
+ lost it is very difficult to get back,2580.18,3.24
1162
+ and if you look at some of the,2582.04,3.12
1163
+ technology or tech companies out there,2583.42,4.679
1164
+ that have abused the markets trust abuse,2585.16,4.38
1165
+ their customer trust by violating,2588.099,4.201
1166
+ privacy and that sort of stuff I gotta,2589.54,4.2
1167
+ tell you like I'm never going back to,2592.3,2.819
1168
+ those platforms I don't know I don't,2593.74,4.26
1169
+ care what they do and so if you sell,2595.119,5.281
1170
+ your trust if you if you sell your,2598.0,4.5
1171
+ trustworthiness in the age of generative,2600.4,4.5
1172
+ AI you will probably not be able to get,2602.5,5.04
1173
+ that back because Above All Else a lot,2604.9,4.439
1174
+ of people are are caring more and more,2607.54,4.319
1175
+ about privacy and not being abused and,2609.339,5.461
1176
+ manipulated uh by the corporations that,2611.859,4.98
1177
+ we engage with if you watch my my,2614.8,3.539
1178
+ channel you know that I am very very,2616.839,3.661
1179
+ skeptical of corporations that being,2618.339,4.201
1180
+ said I also understand that corporations,2620.5,4.14
1181
+ are here for a reason and they provide,2622.54,5.4
1182
+ uh critical goods and services to all of,2624.64,4.32
1183
+ us,2627.94,4.02
1184
+ so make sure that you put trust front,2628.96,4.92
1185
+ and center with the way that you deploy,2631.96,4.32
1186
+ and use uh generative Ai and the,2633.88,4.199
1187
+ decisions that you make a strategic,2636.28,3.539
1188
+ decisions you make around generative AI,2638.079,4.801
1189
+ dignity so this is something that is one,2639.819,5.361
1190
+ of those more intangible things which is,2642.88,4.62
1191
+ you know how do you prioritize human,2645.18,4.419
1192
+ dignity this means,2647.5,3.72
1193
+ um this means treating people with,2649.599,4.02
1194
+ respect respecting the Dignity of their,2651.22,5.16
1195
+ time off respecting the Dignity of their,2653.619,5.46
1196
+ competence Their Fear so this is another,2656.38,4.739
1197
+ thing A lot of people are absolutely,2659.079,4.02
1198
+ Paralyzed by fear because they don't,2661.119,5.101
1199
+ know what's coming and as a CEO you,2663.099,4.381
1200
+ might not know what's coming either but,2666.22,3.119
1201
+ if you treat people with dignity and you,2667.48,3.48
1202
+ say you know what I'm not going to,2669.339,4.081
1203
+ compromise on this value then they're,2670.96,3.54
1204
+ gonna like you more they're gonna,2673.42,2.699
1205
+ they're gonna give you more of the,2674.5,3.66
1206
+ benefit of the doubt and and trust you,2676.119,4.261
1207
+ to see it through and then finally,2678.16,4.8
1208
+ respect respect for human rights respect,2680.38,4.56
1209
+ for privacy respect for the way that,2682.96,4.859
1210
+ people feel if you prioritize respect as,2684.94,5.879
1211
+ well as trust and dignity then you know,2687.819,5.101
1212
+ even if your company implodes or even if,2690.819,4.081
1213
+ you have to lay off people you're not,2692.92,4.14
1214
+ gonna you're you're you won't regret it,2694.9,4.98
1215
+ put it that way you will not ever regret,2697.06,5.64
1216
+ prioritizing trust dignity and respect,2699.88,5.04
1217
+ no matter what else happens,2702.7,6.84
1218
+ and so with this my my caution to all,2704.92,7.08
1219
+ Executives and leaders out there in the,2709.54,3.9
1220
+ age of generative AI is do not,2712.0,3.78
1221
+ compromise your ethics and principles,2713.44,5.04
1222
+ but also be courageous and make some,2715.78,4.2
1223
+ bold decisions because if you're not,2718.48,4.92
1224
+ making bold decisions other people will,2719.98,5.879
1225
+ so for a quick recap we talked about the,2723.4,3.84
1226
+ people processes and Tools around,2725.859,4.5
1227
+ generative AI this is you know,2727.24,4.98
1228
+ generative AI is just like any other,2730.359,4.161
1229
+ software it provides new capabilities,2732.22,5.119
1230
+ new opportunities but also new threats,2734.52,4.78
1231
+ one of the key ways to look at,2737.339,4.0
1232
+ generative AI is look at where it's,2739.3,4.2
1233
+ better faster and or cheaper than humans,2741.339,3.721
1234
+ this is where you're going to get the,2743.5,2.94
1235
+ most bang for your buck when you're,2745.06,3.539
1236
+ either building your own generative AI,2746.44,4.62
1237
+ tools or you're buying or procuring,2748.599,5.881
1238
+ generative AI goods and services,2751.06,5.88
1239
+ uh and then second to last with,2754.48,4.68
1240
+ self-improvement as an executive leader,2756.94,4.379
1241
+ if you're not using generative AI to,2759.16,5.04
1242
+ improve yourself somebody else is namely,2761.319,4.321
1243
+ your competition and you're gonna get,2764.2,3.899
1244
+ left behind and then lastly the slide,2765.64,4.14
1245
+ that we just did was ethics and courage,2768.099,4.441
1246
+ which means whatever happens whatever's,2769.78,5.46
1247
+ coming if you if you compromise your,2772.54,4.319
1248
+ ethics you might regret it but if you,2775.24,3.06
1249
+ don't compromise your ethics you will,2776.859,3.421
1250
+ not regret it so choose the path of,2778.3,4.019
1251
+ least regret this is um actually a,2780.28,4.38
1252
+ mantra that I live by is what decision,2782.319,4.861
1253
+ will I regret least in the long run and,2784.66,3.84
1254
+ then be courageous about it because,2787.18,4.02
1255
+ again this is a bold time with a,2788.5,4.92
1256
+ tremendous amount of opportunity but uh,2791.2,4.32
1257
+ you know fortune favors the Bold so,2793.42,4.14
1258
+ thanks for watching I hope you got a lot,2795.52,4.26
1259
+ out of this thank you very much and uh,2797.56,4.32
1260
+ again reach out on LinkedIn or patreon,2799.78,3.66
1261
+ and let's talk if you want to if you,2801.88,2.939
1262
+ want to talk about any of these topics,2803.44,3.98
1263
+ cheers,2804.819,2.601
Global AI news you might have missed plus using AI for automatically finding consensus_transcript.csv ADDED
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1
+ text,start,duration
2
+ hello everybody David Shapiro here uh,1.74,4.92
3
+ with a update so we're going to cover,4.14,5.16
4
+ two things today real quick uh fir or,6.66,5.1
5
+ the big thing is I mentioned in a,9.3,4.68
6
+ previous uh video we need guy a global,11.76,5.279
7
+ AI agency and we're working towards that,13.98,6.54
8
+ and so I created a public repository uh,17.039,6.121
9
+ of news and and summaries basically,20.52,4.56
10
+ where I'm collecting evidence and news,23.16,3.779
11
+ that is very encouraging because it's,25.08,4.199
12
+ all moving in the right direction uh,26.939,4.321
13
+ we've got everything from the the future,29.279,4.141
14
+ of Life Institute uh open letter to,31.26,5.4
15
+ pause giant models uh news out of uh the,33.42,6.479
16
+ UK the EU which yes I know that the UK,36.66,6.96
17
+ left the EU I made a mistake of uh,39.899,6.301
18
+ forgetting about brexit in a previous,43.62,5.099
19
+ video the U.N Secretary General talking,46.2,5.359
20
+ about yes he's amenable to the idea of,48.719,6.421
21
+ an international AI Watchdog the United,51.559,6.461
22
+ States Senate they're hearing on AI the,55.14,6.12
23
+ EU AI act the U.S House of,58.02,7.04
24
+ Representatives and Senate having uh now,61.26,6.78
25
+ basically matched uh matched actions,65.06,4.72
26
+ with words so after the after the,68.04,4.5
27
+ hearing uh both people both the U.S,69.78,4.379
28
+ House of Representatives and the Senate,72.54,3.96
29
+ have introduced legislation or,74.159,6.061
30
+ commissions or you know policies uh so,76.5,5.28
31
+ we'll go over all those in much greater,80.22,4.5
32
+ detail in just a moment but before we uh,81.78,4.26
33
+ dive into that,84.72,2.939
34
+ um I've been working on this thing I had,86.04,3.719
35
+ this idea for a long time and it's,87.659,4.621
36
+ basically we can use large language,89.759,4.921
37
+ models like GPT because they are trained,92.28,5.18
38
+ on so much text Data they're trained on,94.68,5.34
39
+ data from around the globe granted it is,97.46,5.019
40
+ primarily English so there is a uh,100.02,5.7
41
+ there's definitely some bias uh cultural,102.479,5.881
42
+ bias in there however that being said it,105.72,4.8
43
+ has read so much about the world that it,108.36,4.68
44
+ knows more about religion politics,110.52,6.239
45
+ psychology culture history than any one,113.04,7.619
46
+ person so as far as having the ability,116.759,5.521
47
+ to take perspectives it's actually,120.659,3.42
48
+ pretty good,122.28,4.14
49
+ and so rather than you know walk you,124.079,3.601
50
+ through the code I'll just show you what,126.42,3.479
51
+ I've got working so far so basically,127.68,5.04
52
+ what I have it do is actually first I,129.899,5.641
53
+ need to make sure ah well no that's fine,132.72,6.0
54
+ um so basically what I what I have it I,135.54,5.699
55
+ I have it do what it does,138.72,4.14
56
+ anyways,141.239,4.86
57
+ um is I have it synthesize a Persona and,142.86,6.54
58
+ so this Persona is a whole bunch of,146.099,5.841
59
+ random uh stuff,149.4,5.699
60
+ uh like variables that it can pick to,151.94,6.4
61
+ basically create a synthetic person and,155.099,5.761
62
+ I don't mean that in in the um in the,158.34,6.66
63
+ manipulation way but it has Geographic,160.86,6.48
64
+ Origins ethnicities cultures languages,165.0,6.239
65
+ uh political uh dispositions uh,167.34,6.42
66
+ different factors about the person such,171.239,4.201
67
+ as their physical health their mental,173.76,4.74
68
+ health uh other habits preferences that,175.44,4.92
69
+ sort of thing and so basically what it,178.5,4.14
70
+ does is to create a Persona is it'll,180.36,5.159
71
+ grab one of one uh one of these,182.64,5.7
72
+ variables or one option from each set of,185.519,6.421
73
+ variables and then create a a profile or,188.34,7.38
74
+ a dossier in order to uh like take the,191.94,5.879
75
+ perspective of that person and then it,195.72,3.92
76
+ will talk through on a particular issue,197.819,5.041
77
+ and I picked you bi because I've been on,199.64,6.58
78
+ a economics and Ubi kick lately,202.86,7.379
79
+ and so uh I wanted to basically come up,206.22,7.26
80
+ with a way of automatically uh,210.239,5.821
81
+ understanding what the concerns that,213.48,4.979
82
+ everyone is going to have uh could be,216.06,5.099
83
+ but not just not just uh elucidate or,218.459,5.401
84
+ articulate the problems that they will,221.159,5.101
85
+ have or you know the the concerns that,223.86,5.4
86
+ they'll have over a policy like Ubi but,226.26,5.96
87
+ how do we actually arrive at consensus,229.26,6.66
88
+ and consensus is not necessarily so a,232.22,4.96
89
+ lot of people have misconception about,235.92,3.599
90
+ consensus consensus doesn't mean,237.18,5.1
91
+ unanimous agreement consensus means that,239.519,4.701
92
+ it gets to a point that is good enough,242.28,4.379
93
+ that people will kind of stop fighting,244.22,5.32
94
+ it it's about compromise and so anytime,246.659,5.241
95
+ that there's been any kind of uh,249.54,5.759
96
+ contentious policy or legislation even,251.9,5.44
97
+ including the United States Constitution,255.299,4.021
98
+ nobody was happy with it because they,257.34,5.4
99
+ had to come to consensus in order to get,259.32,5.04
100
+ something that everyone would tolerate,262.74,2.94
101
+ everyone would accept so it wasn't,264.36,4.02
102
+ perfect to anyone's mind but it was,265.68,4.86
103
+ something that they would all accept and,268.38,4.56
104
+ so the idea is okay let's take this,270.54,4.56
105
+ let's take this random profile of a,272.94,3.72
106
+ person so that we can get a global,275.1,3.319
107
+ representation of all perspectives,276.66,5.099
108
+ regardless of how small they are,278.419,5.681
109
+ because the thing is uh when you look at,281.759,4.621
110
+ some of these things like atheist Islam,284.1,4.62
111
+ Christianity Buddhist right some of,286.38,5.46
112
+ these are uh over represented in some,288.72,4.199
113
+ areas and some of them are,291.84,2.88
114
+ underrepresented same thing for,292.919,4.381
115
+ political leanings I even include uh,294.72,5.1
116
+ Libertarians and anarchists and statists,297.3,4.74
117
+ and Communists and reactionaries and,299.82,4.26
118
+ populists and nationalists and fashion I,302.04,4.26
119
+ don't know fascism is in here,304.08,5.46
120
+ um fascism isn't in here so fascist,306.3,4.86
121
+ perspectives don't get represented but,309.54,3.02
122
+ nationalists do so close enough,311.16,4.02
123
+ authoritarians get represented so the,312.56,4.54
124
+ idea is that we can get a very,315.18,4.2
125
+ well-rounded representation of all human,317.1,4.14
126
+ perspectives more or less there's,319.38,3.12
127
+ obviously going to be some flaws with,321.24,4.26
128
+ this because it is the first uh edition,322.5,5.82
129
+ first example but the idea is that you,325.5,6.6
130
+ can get uh a very very diverse set of,328.32,7.08
131
+ perspectives on a particular issue and,332.1,5.819
132
+ then once you get those perspectives you,335.4,3.9
133
+ can then work through and figure out,337.919,4.5
134
+ okay what kind of policy is this person,339.3,5.459
135
+ most likely to accept,342.419,4.861
136
+ and so by then generating a whole bunch,344.759,5.22
137
+ of potential policies you can say okay,347.28,4.74
138
+ well let's look at let's look at the,349.979,3.481
139
+ commonality between all of these and,352.02,3.06
140
+ let's get really creative so let me just,353.46,3.6
141
+ go ahead and show you how this works,355.08,4.02
142
+ all right so the first thing it does is,357.06,4.44
143
+ it grabs a random Persona so you see,359.1,3.659
144
+ where it's like you know heavy social,361.5,3.96
145
+ media user they're West Asian uh,362.759,4.561
146
+ cultural background is West Asian their,365.46,4.44
147
+ Geographic origin is from North Africa,367.32,4.14
148
+ um so imagine a West Asian family in,369.9,3.06
149
+ North Africa,371.46,3.42
150
+ um they're a wealthy family they're,372.96,3.959
151
+ heavy social media user so on and so,374.88,6.12
152
+ forth okay so I ask what would uh this,376.919,6.84
153
+ person think about Ubi and because chat,381.0,4.8
154
+ GPT is so heavily trained to be a,383.759,4.201
155
+ helpful assistant I can't I couldn't get,385.8,4.679
156
+ chat EPT to take that perspective but,387.96,4.26
157
+ what I could do is say Advocate,390.479,4.201
158
+ zealously on behalf of this person and,392.22,4.8
159
+ that got really good results so let's,394.68,4.92
160
+ see uh as an advocate for this Persona I,397.02,3.66
161
+ would say that they might have mixed,399.6,3.599
162
+ feelings about Ubi on one hand they are,400.68,4.519
163
+ wealthy and under and underemployed,403.199,4.861
164
+ which might lead them to see ubis,405.199,5.681
165
+ um uh let's see where did it go hang on,408.06,6.06
166
+ okay it's saved sorry uh uh let's see,410.88,4.62
167
+ unnecessary for themselves and,414.12,2.699
168
+ potentially harmful to their financial,415.5,3.24
169
+ status if it results in higher taxes,416.819,3.72
170
+ they also might be concerned about the,418.74,3.48
171
+ potential for Ubi to discourage work and,420.539,3.541
172
+ productivity given their unsuccess and,422.22,3.66
173
+ wealth-oriented aspirations,424.08,3.66
174
+ uh on the other hand their experience,425.88,3.24
175
+ with financial stress and their social,427.74,2.94
176
+ concerns might make them sympathetic to,429.12,4.079
177
+ the IEP idea of Ubi as a means of,430.68,4.7
178
+ reducing poverty poverty and inequality,433.199,4.261
179
+ however the Nationalist political,435.38,3.28
180
+ affiliation might make them more,437.46,2.88
181
+ inclined to support policies that,438.66,3.24
182
+ prioritize the needs and interests of,440.34,3.78
183
+ their own country and its citizens which,441.9,4.26
184
+ could include skepticism towards Ubi if,444.12,3.54
185
+ they perceive it as benefiting Outsiders,446.16,4.02
186
+ as a form of globalist policy so you see,447.66,4.92
187
+ it has a very nuanced way of saying okay,450.18,4.56
188
+ this person has lots of different,452.58,4.8
189
+ beliefs and it's pretty complex,454.74,3.66
190
+ um,457.38,3.24
191
+ let's see okay so given their wealth,458.4,4.079
192
+ oriented aspirations nationalist,460.62,3.06
193
+ political affiliation and their,462.479,3.0
194
+ experience with financial stress they,463.68,3.6
195
+ might resonate with a fiscal policy or,465.479,3.481
196
+ Ubi implementation that is designed to,467.28,3.06
197
+ stimulate economic growth and,468.96,3.359
198
+ productivity while also addressing,470.34,3.359
199
+ social inequality within their own,472.319,3.421
200
+ country for instance they might support,473.699,3.78
201
+ a Ubi program that is funded through,475.74,3.239
202
+ progressive taxation where the wealthy,477.479,2.94
203
+ pay a higher percentage of their income,478.979,3.241
204
+ taxes this would align with their social,480.419,3.06
205
+ concerns and their belief in the,482.22,2.58
206
+ importance of addressing inequality,483.479,2.761
207
+ however they would likely want,484.8,3.0
208
+ assurances that this would not unduly,486.24,3.179
209
+ burden them or negatively impact their,487.8,3.6
210
+ own financial status they might also,489.419,4.081
211
+ resonate with a Ubi program that,491.4,4.019
212
+ includes work incentives or requirements,493.5,3.12
213
+ to address their concerns about,495.419,3.421
214
+ discouraging work and productivity for,496.62,3.72
215
+ instance they might support a Ubi that,498.84,3.96
216
+ is conditional on recipients engaging in,500.34,4.079
217
+ some kind of work education or community,502.8,3.239
218
+ service,504.419,4.321
219
+ so this is uh this is a theme that keeps,506.039,3.961
220
+ emerging because I've run this,508.74,3.239
221
+ experiment a few times I don't know if,510.0,3.36
222
+ that's the underlying training of chat,511.979,3.961
223
+ GPT or if it's just this is the most,513.36,5.4
224
+ logical Way Forward where basically,515.94,5.7
225
+ either you have a requirement or an,518.76,5.219
226
+ incentive or reward so basically like,521.64,5.4
227
+ you get everyone gets a baseline Ubi but,523.979,6.3
228
+ if you volunteer you get more Ubi right,527.04,5.16
229
+ it's like a kind of adjusting your tax,530.279,3.901
230
+ returns uh here in America,532.2,3.96
231
+ uh okay so finally given their,534.18,4.56
232
+ nationalist policy uh they want to uh,536.16,4.32
233
+ Ubi that prioritizes the needs and,538.74,4.32
234
+ interests of their own country citizens,540.48,4.68
235
+ um so this could be something like a tax,543.06,5.1
236
+ break if you buy local uh or any any,545.16,5.76
237
+ number of ways so then,548.16,3.84
238
+ um,550.92,3.359
239
+ I ask it to say all right come up with,552.0,4.44
240
+ come up with a policy that this person,554.279,4.74
241
+ might like and so in this case it said,556.44,5.22
242
+ the national Prosperity dividend which,559.019,5.161
243
+ that sounds rather authoritarian but,561.66,5.64
244
+ okay we'll go with it uh so the NPD,564.18,5.04
245
+ which,567.3,4.5
246
+ that's also the acronym for narcissistic,569.22,5.88
247
+ personality disorder oh boy,571.8,5.58
248
+ um maybe let's Workshop that before we,575.1,3.66
249
+ go live with it,577.38,4.139
250
+ um uh anyways so the NPD is a form of,578.76,4.32
251
+ universal basic income that is designed,581.519,3.0
252
+ to stimulate economic growth reduce,583.08,3.6
253
+ social inequality and prioritize the,584.519,4.681
254
+ needs and interest okay so you get that,586.68,4.26
255
+ um so it's predicated on their engaging,589.2,3.24
256
+ in some form of work education or,590.94,3.66
257
+ community service part-time work,592.44,4.86
258
+ vocational training higher ed so on and,594.6,4.859
259
+ so forth you know actually like that,597.3,3.599
260
+ particular thing because this is a,599.459,3.541
261
+ recurring thing I'm not sure I'm not,600.899,3.781
262
+ certain that that's actually a bad idea,603.0,3.6
263
+ where like you incentivize people to,604.68,4.02
264
+ continue to better themselves even if,606.6,3.84
265
+ it's a small character uh carrot like,608.7,4.98
266
+ you know hey if you're uh in if you're,610.44,5.459
267
+ if you're going to higher education even,613.68,4.44
268
+ if you know you're the college degree,615.899,3.601
269
+ you're getting might not ever do,618.12,3.3
270
+ anything you get an extra 500 a month,619.5,4.2
271
+ you will at least be a better informed,621.42,4.56
272
+ Citizen and a better Civic uh,623.7,4.5
273
+ participant who knows I don't know,625.98,4.08
274
+ incentivize the behavior you want to see,628.2,4.38
275
+ uh oh here we go the NPD would also,630.06,6.3
276
+ include a patriotic bonus oh yikes,632.58,5.64
277
+ um an additional payment for those who,636.36,3.3
278
+ contribute significantly to the,638.22,3.239
279
+ country's economy culture or Society,639.66,4.619
280
+ okay I wouldn't call it a patriotic,641.459,5.401
281
+ bonus uh that's a little that's a little,644.279,4.921
282
+ totalitarian but I get the I get the,646.86,4.38
283
+ idea so this would include entrepreneurs,649.2,3.78
284
+ artists scientists and Community leaders,651.24,4.32
285
+ so actually I think Ireland,652.98,4.26
286
+ um already has something like this where,655.56,3.3
287
+ basically if you are a professional,657.24,3.48
288
+ artist or author or whatever A Creative,658.86,4.74
289
+ type you get a stipend,660.72,3.9
290
+ um I don't know what they call it in,663.6,2.64
291
+ Ireland but there is precedent for this,664.62,4.38
292
+ being a thing so like if you're if,666.24,5.219
293
+ you're a content creator or a cultural,669.0,4.62
294
+ commentator or whatever you could get a,671.459,5.82
295
+ little bit an additional stipend uh so,673.62,6.48
296
+ all right so there there you have it,677.279,4.261
297
+ um and then if we run it again so let me,680.1,3.56
298
+ do a clear screen if we run it again,681.54,4.38
299
+ let's say we get a young adult who's,683.66,4.299
300
+ wealthy from Eastern Europe,685.92,4.68
301
+ um whose culture is indigenous South,687.959,4.32
302
+ American interesting,690.6,3.96
303
+ um they like gaming they speak Spanish,692.279,4.081
304
+ that makes sense if they're from South,694.56,3.6
305
+ America,696.36,3.78
306
+ um they do not care about the community,698.16,5.4
307
+ and they are a very fragile person,700.14,6.08
308
+ um they're an angry fragile person who's,703.56,6.6
309
+ uh who is educated,706.22,5.559
310
+ um they've been very experienced they,710.16,3.96
311
+ had a good childhood sorry they've had a,711.779,4.081
312
+ good good life experience they're,714.12,3.3
313
+ presently single they're Progressive,715.86,3.479
314
+ atheist,717.42,3.96
315
+ um yeah this actually sounds,719.339,3.901
316
+ uh oh and they're worried about their,721.38,4.26
317
+ career interesting okay,723.24,5.039
318
+ so let's see uh I'm not going to read,725.64,4.56
319
+ the whole thing to you uh like I did the,728.279,4.021
320
+ first one you get the idea,730.2,4.199
321
+ um but so you see how it takes into,732.3,4.08
322
+ account like the last one they were,734.399,3.721
323
+ Nationalist and blah blah blah and this,736.38,3.6
324
+ one is uh Progressive given their,738.12,3.12
325
+ moderate intolerance they might prefer,739.98,3.12
326
+ Ubi that include some form of means,741.24,3.839
327
+ testing means testing keeps come up,743.1,3.96
328
+ keeps coming up as well,745.079,3.901
329
+ um let's see skeptical about whether,747.06,3.899
330
+ everyone deserves Ubi,748.98,4.38
331
+ ouch uh I there's some people on Reddit,750.959,5.101
332
+ that this sounds like,753.36,3.96
333
+ um and that's not to trash people on,756.06,2.88
334
+ Reddit I actually learn a lot from some,757.32,5.94
335
+ people on Reddit uh but yeah so uh Ubi,758.94,5.88
336
+ to reduce over consumption and promote,763.26,3.6
337
+ more sustainable Lifestyles yeah so this,764.82,4.38
338
+ actually keeps coming up as well where,766.86,5.7
339
+ uh for some people uh means testing um,769.2,5.52
340
+ sustainability so basically like you,772.56,4.86
341
+ might get an additional Ubi bonus if you,774.72,5.88
342
+ live sustainably or you know whatever so,777.42,4.62
343
+ basically like discourage over,780.6,3.539
344
+ consumption that's a that's a trend that,782.04,4.5
345
+ keeps coming up so okay the progressive,784.139,5.82
346
+ environmental you you Ubi the Pui B the,786.54,5.22
347
+ PB,789.959,3.541
348
+ would be funded primarily through a,791.76,2.94
349
+ progressive tax system where the,793.5,2.639
350
+ wealthiest individuals and okay yeah,794.7,2.879
351
+ blah blah,796.139,4.14
352
+ um I haven't seen too much in terms of,797.579,4.021
353
+ funding,800.279,3.12
354
+ um one of them did say uh fund it,801.6,3.9
355
+ through carbon taxes uh which I thought,803.399,4.801
356
+ was was an interesting uh way is you,805.5,3.959
357
+ partially fund it through through that,808.2,2.939
358
+ to align with their environmentalist,809.459,4.081
359
+ values would also oh here it is carbon,811.139,3.901
360
+ tax,813.54,3.239
361
+ um okay so these are some ideas that,815.04,3.72
362
+ keep coming up again I think that the,816.779,4.68
363
+ underlying uh model has a little bit of,818.76,4.98
364
+ bias here it would be interesting to see,821.459,5.641
365
+ if there is a future version of gbt that,823.74,4.7
366
+ is not already,827.1,4.44
367
+ pre-trained to be kind of on board with,828.44,5.139
368
+ some of these ideas uh because one thing,831.54,4.62
369
+ that doesn't that has come up is like if,833.579,4.26
370
+ you have someone who is just adamantly,836.16,3.06
371
+ opposed to it,837.839,2.821
372
+ um it doesn't say like this person will,839.22,3.359
373
+ never agree to this under any,840.66,3.78
374
+ circumstances it works really hard to,842.579,3.06
375
+ try and find something that they might,844.44,2.82
376
+ agree with,845.639,5.041
377
+ so anyways this is all saved out to um,847.26,7.259
378
+ it's saved out into the Ubi folder as a,850.68,5.7
379
+ yaml document so it just it basically,854.519,4.26
380
+ just saves the conversation,856.38,5.1
381
+ um as as a whole uh I think yeah it even,858.779,4.86
382
+ it even includes the system message,861.48,4.799
383
+ because the system message includes the,863.639,5.76
384
+ uh includes the uh the the Persona and,866.279,4.74
385
+ the first one it was hilarious it was a,869.399,4.56
386
+ radically intolerant feminist who is a,871.019,5.521
387
+ Scientologist which is just like wow,873.959,4.201
388
+ um this was this was really interesting,876.54,3.72
389
+ as it tried to figure out how to appease,878.16,5.88
390
+ a very dogmatic uh person so anyways uh,880.26,6.36
391
+ this is a work in progress,884.04,5.099
392
+ um I uh I don't know where it's going,886.62,5.579
393
+ exactly but the idea is that maybe you,889.139,4.741
394
+ could use it for policy research maybe,892.199,3.661
395
+ you could use it for,893.88,4.38
396
+ um it actually came it was precip I've,895.86,3.479
397
+ been thinking about it for a long time,898.26,3.6
398
+ but I had some inspiration after talking,899.339,5.341
399
+ to the gato Community about uh the,901.86,4.86
400
+ Democratic inputs to AI,904.68,5.04
401
+ because the idea of using a chat bot to,906.72,5.16
402
+ extract information from a person from a,909.72,4.559
403
+ real person is one thing but then I was,911.88,4.079
404
+ like you know the model already has a,914.279,3.0
405
+ tremendous amount of information so why,915.959,3.961
406
+ don't we just bootstrap it and ask the,917.279,4.8
407
+ model to kind of think through this so,919.92,4.8
408
+ this is essentially a tree of thought,922.079,4.681
409
+ but each branch of the tree is a,924.72,4.799
410
+ different Persona and then each of those,926.76,5.1
411
+ branches has three sub-branches where I,929.519,4.741
412
+ ask it those three questions like uh you,931.86,3.779
413
+ know what do you think this person will,934.26,3.24
414
+ think about Ubi what kind of fiscal,935.639,3.781
415
+ policy do you think would resonate and,937.5,3.54
416
+ then finally given the Persona in their,939.42,3.24
417
+ disposition can you creatively conjure,941.04,3.72
418
+ up a policy that has a high chance of,942.66,4.2
419
+ reaching consensus with this person so,944.76,3.36
420
+ it's you know basically you can create,946.86,3.36
421
+ an arbitrary number of branches and then,948.12,3.42
422
+ as you,950.22,3.119
423
+ as those branches span out and you get,951.54,3.12
424
+ all the leaves you gather the leaves,953.339,3.841
425
+ together and see what fits okay anyways,954.66,5.52
426
+ so you're up to date on that project so,957.18,5.399
427
+ let's dive back into the Gaia initiative,960.18,4.74
428
+ the global AI agencies,962.579,5.76
429
+ so I've been watching the news and I,964.92,5.88
430
+ realized that the number of things that,968.339,4.921
431
+ are piling up that make me feel good and,970.8,3.539
432
+ I know that there's a lot of people out,973.26,3.78
433
+ there that are skeptical of uh of,974.339,4.62
434
+ anything to do with government or,977.04,3.72
435
+ corporations,978.959,3.781
436
+ um and for those people I empathize with,980.76,5.4
437
+ you uh growing up I was more like that,982.74,7.2
438
+ where I was super skeptical of all uh,986.16,7.02
439
+ trappings of power and certainly my,989.94,4.399
440
+ friends were very like,993.18,3.3
441
+ disestablishmentarianism and anarcho,994.339,4.18
442
+ libertarian whatever,996.48,4.02
443
+ um but none of them ever did anything,998.519,4.26
444
+ with it uh so this is the world we live,1000.5,4.199
445
+ in we live in a world with corporations,1002.779,4.86
446
+ and governments and stuff and yes all,1004.699,5.88
447
+ power needs to be scrutinized healthy,1007.639,6.181
448
+ skepticism is uh absolutely fine that is,1010.579,5.281
449
+ part of the democratic process that,1013.82,4.139
450
+ being said if you're dogmatically,1015.86,4.26
451
+ against all forms of power well I mean,1017.959,3.841
452
+ wish in one hand and you know you know,1020.12,3.42
453
+ what to do with the other one see which,1021.8,4.259
454
+ one fills up first so anyway ways I have,1023.54,3.779
455
+ been keeping track of all this stuff,1026.059,2.821
456
+ because,1027.319,4.38
457
+ I see the currents and the trends and it,1028.88,4.919
458
+ is actually very very encouraging to me,1031.699,3.36
459
+ so,1033.799,3.181
460
+ I've got it all in chronological order,1035.059,4.26
461
+ so first was the future of Life,1036.98,4.74
462
+ Institute published there um their open,1039.319,4.441
463
+ letter you know signed by everyone,1041.72,4.859
464
+ including Elon Musk and yada yada yada,1043.76,4.74
465
+ what I didn't realize was that it,1046.579,4.561
466
+ actually came with a policy paper and so,1048.5,4.799
467
+ this policy paper it's only 14 pages and,1051.14,5.899
468
+ it has uh seven policy recommendations,1053.299,7.921
469
+ uh so this this came out in uh let's see,1057.039,6.821
470
+ uh April 12th,1061.22,4.86
471
+ um I think I might have that wrong the,1063.86,5.34
472
+ the pause the the big pause,1066.08,5.7
473
+ um oh so the paper was published March,1069.2,5.52
474
+ 22nd the uh the policy recommendations,1071.78,4.86
475
+ came out a few few days later a couple,1074.72,4.56
476
+ weeks later so what I did was I took all,1076.64,5.159
477
+ that and then I made a very brief,1079.28,4.259
478
+ summary of the whole thing,1081.799,4.561
479
+ right here so you can click on the link,1083.539,4.981
480
+ and see it but you know it's a few basic,1086.36,4.08
481
+ things mandate robust third party,1088.52,3.96
482
+ auditing regulate organizations access,1090.44,5.34
483
+ to computational power uh established,1092.48,4.92
484
+ capable AI agencies at the national,1095.78,4.44
485
+ level establish liability for AI caused,1097.4,5.1
486
+ harm uh introduce measures to prevent,1100.22,4.92
487
+ and track AI model leaks expand AI,1102.5,5.46
488
+ technical Safety Research and develop,1105.14,4.32
489
+ standards for identifying and managing,1107.96,3.599
490
+ AI generated content okay sure whatever,1109.46,3.959
491
+ it's all pretty boilerplate in the grand,1111.559,4.561
492
+ scheme of things but so that came out,1113.419,7.561
493
+ March April uh March 29th the UK did,1116.12,7.799
494
+ this uh this uh Joby which I haven't had,1120.98,5.34
495
+ a chance to summarize yet but basically,1123.919,6.781
496
+ the idea is uh and a pro Innovation AI,1126.32,6.479
497
+ regulatory framework,1130.7,3.719
498
+ Etc et cetera again you see how long,1132.799,3.24
499
+ this thing is that's why it takes a,1134.419,4.021
500
+ little takes a little bit of doing to,1136.039,6.081
501
+ summarize with uh with a GPT API calls,1138.44,5.94
502
+ so anyways,1142.12,5.62
503
+ they call for a regulatory sandbox,1144.38,6.659
504
+ um which so does the EA the eua good,1147.74,6.48
505
+ grief e-u-a-i act also calls for,1151.039,5.161
506
+ regulatory sandboxes,1154.22,3.839
507
+ um so if you if you don't know a,1156.2,3.42
508
+ regulatory sandbox is basically you,1158.059,3.48
509
+ create a safe space where you can,1159.62,3.96
510
+ experiment with AI,1161.539,6.301
511
+ um you know that is uh a little bit more,1163.58,6.9
512
+ permissive so and this is this is very,1167.84,4.92
513
+ often the case so for instance,1170.48,4.02
514
+ um one of the most familiar ones is if,1172.76,3.539
515
+ you're doing medical research for,1174.5,3.78
516
+ instance you're allowed to use uh,1176.299,4.861
517
+ substances that are otherwise illegal uh,1178.28,5.04
518
+ you just have to go through uh approval,1181.16,4.259
519
+ processes that's not quite the same but,1183.32,4.26
520
+ the idea is that like people have been,1185.419,4.561
521
+ able to experiment with THC and LSD and,1187.58,4.56
522
+ psilocybin even though it's still a,1189.98,4.5
523
+ schedule two drug or whatever in the,1192.14,3.539
524
+ United States,1194.48,3.48
525
+ you just have to you have to be approved,1195.679,5.101
526
+ to do so likewise if you are an approved,1197.96,5.219
527
+ entity uh the idea of a regulatory,1200.78,4.74
528
+ sandbox is that you can still do,1203.179,3.961
529
+ whatever science you need to do as long,1205.52,3.84
530
+ as you do so safely but also one thing,1207.14,4.86
531
+ about these Pro Innovation things is and,1209.36,3.9
532
+ this is a common theme that I actually,1212.0,3.36
533
+ noticed which is why I was inspired to,1213.26,5.539
534
+ do this so the UK and the United States,1215.36,7.26
535
+ have all uh focused on protecting,1218.799,5.801
536
+ Innovation and accelerating innovation,1222.62,4.2
537
+ in fact,1224.6,6.48
538
+ um so then uh in early May the U.N,1226.82,7.38
539
+ Secretary General Antonio guterres said,1231.08,5.219
540
+ that he's amenable to the idea of the,1234.2,5.94
541
+ iaea for AI which also open AI I forgot,1236.299,5.581
542
+ to add that but open AI basically,1240.14,3.539
543
+ published a Blog calling for the same,1241.88,5.28
544
+ thing uh then a few days later uh the,1243.679,6.061
545
+ United States uh Senate hearing on AI,1247.16,5.46
546
+ this was the one with Sam Altman,1249.74,4.679
547
+ um and Christina Montgomery Montgomery,1252.62,4.38
548
+ and and Gary Marcus this was almost a,1254.419,3.961
549
+ three-hour talk,1257.0,3.9
550
+ and I took the transcript of that and I,1258.38,4.679
551
+ summarized it here so the high level,1260.9,3.659
552
+ summary,1263.059,2.881
553
+ um you know basically just says here's,1264.559,3.721
554
+ the key points that they discussed and,1265.94,3.78
555
+ then I break each one of those down,1268.28,2.94
556
+ further,1269.72,3.72
557
+ um so it takes you you know 20 minutes,1271.22,4.98
558
+ to read this instead of three hours,1273.44,5.22
559
+ um it's pretty straightforward uh you,1276.2,5.099
560
+ know I there was a lot of back and forth,1278.66,4.08
561
+ a lot of questions I watched pretty much,1281.299,3.181
562
+ the entire hearing,1282.74,3.72
563
+ um but clearly uh the United States,1284.48,3.9
564
+ government was listening,1286.46,3.3
565
+ um and I wonder if this whole thing was,1288.38,3.72
566
+ just an orchestrated series of events or,1289.76,5.34
567
+ or you know it or not,1292.1,5.88
568
+ um but anyways a month later the EU AI,1295.1,5.579
569
+ Act was uh proposed I don't think it's,1297.98,4.14
570
+ been adopted or ratified or anything,1300.679,3.721
571
+ someone explained in the comments that,1302.12,3.96
572
+ um there's still quite a process to go,1304.4,2.42
573
+ through,1306.08,3.42
574
+ they've got to get feedback,1306.82,4.599
575
+ but then more recently in just the last,1309.5,5.46
576
+ couple days uh the the uh United States,1311.419,6.12
577
+ House of Representatives uh by uh,1314.96,5.04
578
+ representative Ted loot excuse me Ted,1317.539,3.961
579
+ Lew and a few others,1320.0,3.539
580
+ um introduced a bipartisan uh commission,1321.5,4.14
581
+ basically it's an AI commission I,1323.539,3.901
582
+ summarized it here it's pretty uh or no,1325.64,4.2
583
+ sorry I didn't summarize it here I um I,1327.44,4.14
584
+ copied the text here because their PDF,1329.84,3.3
585
+ was garbage,1331.58,3.42
586
+ um seriously like this is the United,1333.14,3.96
587
+ States you can pay someone who knows how,1335.0,5.58
588
+ to make a PDF good Lord so anyways,1337.1,6.059
589
+ It's relatively straightforward mostly,1340.58,4.44
590
+ this is just saying like let's appoint a,1343.159,3.541
591
+ panel to make to come up with policy,1345.02,3.36
592
+ recommendations,1346.7,3.599
593
+ um it's not really they're not going to,1348.38,4.2
594
+ do anything the whole basically it's,1350.299,4.5
595
+ going to produce three reports,1352.58,3.9
596
+ um and so this is going to recommend,1354.799,5.76
597
+ what the United States Congress does uh,1356.48,7.199
598
+ for AI okay great you know Congressional,1360.559,4.381
599
+ commission,1363.679,2.641
600
+ um they're they're interested in getting,1364.94,3.54
601
+ more information which means that,1366.32,3.78
602
+ they're going to solicit experts so one,1368.48,2.46
603
+ thing that I thought was most,1370.1,3.72
604
+ interesting was that was the the panel,1370.94,5.3
605
+ um is that they that they want to have,1373.82,4.62
606
+ members of the commission shall have a,1376.24,4.24
607
+ demonstrated background in at least one,1378.44,5.28
608
+ of the following computer science or AI,1380.48,5.819
609
+ specifically Civil Society including,1383.72,4.319
610
+ constitutional rights civil liberties,1386.299,4.161
611
+ ethics and the creative Community,1388.039,4.321
612
+ industry and Workforce and then,1390.46,3.599
613
+ government including National Security,1392.36,4.98
614
+ so when you get these kinds of people in,1394.059,5.081
615
+ a room together it's not just engineers,1397.34,4.079
616
+ and not just data scientists this is,1399.14,3.899
617
+ going to be people that are in political,1401.419,4.981
618
+ science uh civil rights civil liberties,1403.039,5.76
619
+ industry insiders and then finally,1406.4,4.56
620
+ National Security Experts so this is,1408.799,3.781
621
+ going to be a pretty comprehensive set,1410.96,3.0
622
+ of recommendations and I'm actually,1412.58,2.64
623
+ pretty happy,1413.96,3.66
624
+ um to see that that Ted Lou is leading,1415.22,4.5
625
+ that and Ted Lou is um where's he is he,1417.62,4.26
626
+ the Los Angeles County,1419.72,3.72
627
+ um so it's not surprising that you know,1421.88,3.6
628
+ California bro is going to be figuring,1423.44,3.54
629
+ that out,1425.48,3.42
630
+ um okay and then finally most recently,1426.98,4.14
631
+ was just a couple days ago uh Chuck,1428.9,4.98
632
+ Senator Chuck Schumer announced the safe,1431.12,6.419
633
+ framework uh at the csis which is really,1433.88,5.279
634
+ interesting,1437.539,3.361
635
+ um and I don't know if this has been,1439.159,3.601
636
+ ratified yet or anything I haven't been,1440.9,4.62
637
+ able to find the actual text of the uh,1442.76,5.159
638
+ of the of the idea but there is a,1445.52,4.62
639
+ one-pager out there somewhere,1447.919,3.661
640
+ um that that summarizes it very,1450.14,3.24
641
+ succinctly but I took I took the,1451.58,4.02
642
+ transcript from this and I summarized,1453.38,3.84
643
+ the the talk here,1455.6,6.3
644
+ so basically uh the the it comes down to,1457.22,7.26
645
+ four uh major components uh security,1461.9,5.399
646
+ which basically talks about uh National,1464.48,6.66
647
+ Security uh above all else but also uh,1467.299,6.781
648
+ corporate security and uh privacy of,1471.14,5.1
649
+ citizens accountability which talks,1474.08,5.88
650
+ about how do you uh how do you it's it's,1476.24,5.52
651
+ actually pretty similar to the EU thing,1479.96,3.78
652
+ where oh I forgot to mention this for,1481.76,4.5
653
+ the EU AI act the primary thing that the,1483.74,5.88
654
+ EU AIX does is it bans outright social,1486.26,6.12
655
+ Credit Systems and surveillance,1489.62,6.299
656
+ um like high uh basically Big Brother,1492.38,6.12
657
+ bans Big Brother stuff and so this is,1495.919,3.841
658
+ what the security and accountability,1498.5,4.08
659
+ does uh an interesting part of this was,1499.76,5.279
660
+ the foundations aspect of the framework,1502.58,5.52
661
+ so basically uh one of the key things of,1505.039,6.361
662
+ Chuck Schumer's uh framework is to,1508.1,6.0
663
+ protect the foundations of democracy so,1511.4,4.2
664
+ I was talking with my wife about this,1514.1,3.36
665
+ and she suspects that this was a direct,1515.6,5.819
666
+ reaction to the January 6th uh attempted,1517.46,6.42
667
+ Insurrection at the U.S Capitol,1521.419,3.841
668
+ um you know when people are breaking,1523.88,4.08
669
+ into uh and and keep in mind that many,1525.26,4.44
670
+ members of Congress were directly in,1527.96,6.24
671
+ danger and so we suspect we being my,1529.7,6.12
672
+ wife and I we suspect that this is,1534.2,4.859
673
+ actually uh basically the Congress uh,1535.82,4.68
674
+ you know House of Representatives and,1539.059,2.821
675
+ Senators,1540.5,2.76
676
+ um you know they didn't take social,1541.88,3.06
677
+ media seriously,1543.26,4.56
678
+ and then you know Facebook happened with,1544.94,5.28
679
+ Cambridge analytica I don't think it's,1547.82,4.4
680
+ controversial to say that that Facebook,1550.22,4.939
681
+ uh and other social media companies,1552.22,6.0
682
+ directly contributed to the widespread,1555.159,5.921
683
+ abuses of misinformation,1558.22,4.18
684
+ um but also just coordination of,1561.08,3.479
685
+ violence it's that simple,1562.4,4.379
686
+ um and so they they learned their lesson,1564.559,4.561
687
+ by not taking social media seriously and,1566.779,3.601
688
+ now they're taking artificial,1569.12,3.539
689
+ intelligence very seriously so on a,1570.38,4.799
690
+ cynical note this is basically the,1572.659,4.14
691
+ establishment wanting to protect the,1575.179,4.261
692
+ establishment and the status quo,1576.799,4.921
693
+ that is a pretty cynical take that,1579.44,3.96
694
+ doesn't mean that it's the only thing uh,1581.72,2.939
695
+ because I actually listened to all of,1583.4,3.48
696
+ Chuck Schumer's talk and he had a very,1584.659,4.201
697
+ clear like Words matter,1586.88,3.06
698
+ um he had a very clear-eyed,1588.86,2.699
699
+ understanding of what's coming he even,1589.94,4.5
700
+ talked about the the possibility of of,1591.559,5.581
701
+ jobs dislocation he likened it to uh,1594.44,4.979
702
+ globalization and offshoring because he,1597.14,4.139
703
+ said like yes globalization and,1599.419,4.681
704
+ offshoring did actually help the economy,1601.279,5.64
705
+ because it you know allowed us to lower,1604.1,4.62
706
+ the prices of goods and services but at,1606.919,3.961
707
+ the same time millions of Americans lost,1608.72,3.3
708
+ their job,1610.88,3.539
709
+ and so the implication there was that,1612.02,4.139
710
+ the United States government did not do,1614.419,4.441
711
+ a good enough job to protect Americans,1616.159,5.041
712
+ um while we were rabidly offshoring in,1618.86,5.64
713
+ the the 90s and and 2000s,1621.2,5.459
714
+ um and then finally explainability uh,1624.5,3.84
715
+ some people commented that Chuck Schumer,1626.659,3.181
716
+ doesn't really seem to understand how AI,1628.34,3.719
717
+ Works uh because you can't just it's not,1629.84,3.9
718
+ it's not a database that you can like,1632.059,3.48
719
+ say oh this is where it got the data,1633.74,4.02
720
+ from that being said I think that these,1635.539,4.201
721
+ commissions will figure out,1637.76,3.96
722
+ um you know that that you while you,1639.74,5.4
723
+ can't look at the uh uh the model and,1641.72,4.92
724
+ then for what was in it you can look at,1645.14,3.72
725
+ the training data so what I suspect is,1646.64,4.019
726
+ that there's going to be a very soon,1648.86,4.199
727
+ open source standards on training data,1650.659,4.861
728
+ so basically in order to be a licensed,1653.059,3.72
729
+ and approved and publicly available,1655.52,3.72
730
+ model the underpinning training data,1656.779,4.5
731
+ will have to be publicly available or at,1659.24,3.36
732
+ least inspected,1661.279,3.061
733
+ um he did he did talk about Innovation,1662.6,3.0
734
+ first,1664.34,3.66
735
+ as well so this is a common theme that's,1665.6,4.319
736
+ emerging at least in Britain and America,1668.0,3.779
737
+ the EU is less concerned about,1669.919,4.341
738
+ Innovation they're more concerned about,1671.779,5.041
739
+ uh fundamental civil rights and,1674.26,4.72
740
+ foundational human rights uh which is,1676.82,4.62
741
+ good like I would I would actually like,1678.98,5.16
742
+ that but as an individual Nation they,1681.44,6.599
743
+ are highly highly focused on focusing on,1684.14,7.68
744
+ Innovation first and then safety rights,1688.039,4.921
745
+ accountability and stuff so it's,1691.82,3.239
746
+ basically here's the road map of how to,1692.96,5.16
747
+ innovate safely and fast and quickly uh,1695.059,5.581
748
+ and the idea is there are geopolitical,1698.12,5.159
749
+ competitions happening uh Vladimir Putin,1700.64,5.34
750
+ said uh what I think it was 2021 the,1703.279,3.9
751
+ nation that solves artificial,1705.98,3.059
752
+ intelligence will own you know the next,1707.179,2.941
753
+ Century,1709.039,2.161
754
+ um and it's probably going to be a lot,1710.12,3.9
755
+ longer than that uh Russia unfortunately,1711.2,5.04
756
+ for them does not have the economy or,1714.02,4.139
757
+ the uh they have brain drain so they're,1716.24,3.539
758
+ not going to be a participant in,1718.159,3.541
759
+ artificial intelligence uh it's,1719.779,3.301
760
+ basically going to come down to America,1721.7,4.56
761
+ versus China versus the EU,1723.08,6.18
762
+ uh but the EU is more ideologically,1726.26,5.76
763
+ aligned with America uh and vice versa,1729.26,4.5
764
+ so it'll basically come down to East,1732.02,3.42
765
+ versus West,1733.76,3.779
766
+ um which is basically you know the same,1735.44,4.38
767
+ idea of World War II and the Cold War,1737.539,4.62
768
+ which was Western ideology versus,1739.82,4.44
769
+ Eastern ideology so this is what the,1742.159,4.26
770
+ geopolitical conflict is shaping up to,1744.26,4.98
771
+ be for the next Century yay repeat of,1746.419,4.38
772
+ the 20th century let's hope that it's,1749.24,3.72
773
+ not as bloody uh and I say that,1750.799,5.281
774
+ flippantly but I am dead serious because,1752.96,4.92
775
+ um the stakes are very very high here,1756.08,3.599
776
+ which is why I call this the Gaia,1757.88,3.539
777
+ initiative because Gaia is Greek for,1759.679,4.561
778
+ Earth or Mother Earth and also Gaia was,1761.419,5.401
779
+ the goddess of monsters too so on the,1764.24,4.86
780
+ topic of Malik and shogoth and all those,1766.82,3.78
781
+ other things I think that Gaia is a,1769.1,3.84
782
+ really appropriate name so anyways this,1770.6,4.079
783
+ is out here it's just under um,1772.94,5.4
784
+ github.com Dave shop guy initiative,1774.679,4.38
785
+ um,1778.34,3.54
786
+ I will update this as interesting news,1779.059,4.74
787
+ comes out I might forget about it for a,1781.88,4.62
788
+ while I tend to do that but it's up,1783.799,4.98
789
+ there and I find all this news very,1786.5,4.26
790
+ encouraging so thanks for watching I,1788.779,5.12
791
+ hope you got a lot out of it cheers,1790.76,3.139
How Will Super Alignment Work Challenges and Criticisms of OpenAIs Approach to AGI Safety XRisk_transcript.csv ADDED
@@ -0,0 +1,812 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.0,4.98
3
+ another video so today's video is about,2.46,5.28
4
+ super alignment uh for those that you,4.98,5.039
5
+ that might not know openai recently,7.74,3.6
6
+ announced that they are creating a super,10.019,2.761
7
+ alignment team and they are going to,11.34,5.16
8
+ commit 20 of their compute resources to,12.78,6.9
9
+ the task of solving super alignment So,16.5,5.279
10
+ today we're going to talk about how it,19.68,3.84
11
+ would work or more specifically the,21.779,4.621
12
+ challenges with super alignment and also,23.52,5.64
13
+ some of my uh let's say criticism my,26.4,5.52
14
+ feedback for openai based on what I know,29.16,5.1
15
+ about how they have approached alignment,31.92,4.08
16
+ so far and what they have said about,34.26,3.12
17
+ super alignment,36.0,4.02
18
+ uh before we get into the show all of my,37.38,4.32
19
+ work is completely open source and free,40.02,3.42
20
+ of ads and that is because I am,41.7,3.78
21
+ supported by a Grassroots movement now,43.44,4.56
22
+ in order to keep doing this your support,45.48,4.559
23
+ would be greatly appreciated and all,48.0,4.079
24
+ tiers on my patreon get you access to,50.039,4.141
25
+ the private Discord server so without,52.079,4.681
26
+ further Ado moving on,54.18,5.1
27
+ uh first the question is what is super,56.76,5.88
28
+ alignment uh so I got this summary just,59.28,5.76
29
+ I took open ai's statement on super,62.64,4.62
30
+ alignment and and got this nice little,65.04,4.8
31
+ summary uh super alignment is the,67.26,4.08
32
+ process of ensuring that super,69.84,3.9
33
+ intelligent AI systems which are systems,71.34,4.74
34
+ much smarter than humans follow human,73.74,4.26
35
+ intent so they keep using this word,76.08,6.539
36
+ intent which I have some feedback on it,78.0,6.299
37
+ involves developing new scientific and,82.619,2.82
38
+ Technical breakthroughs that can,84.299,3.661
39
+ effectively guide and control these,85.439,4.32
40
+ highly Advanced systems this is making,87.96,3.36
41
+ the Assumption of Courage ability which,89.759,3.9
42
+ we'll talk about later the goal is to,91.32,3.839
43
+ prevent potentially catastrophic,93.659,3.121
44
+ scenarios such as super intelligent,95.159,3.721
45
+ going rogue or becoming uncontrollable,96.78,4.799
46
+ super super alignment is a critical,98.88,4.44
47
+ challenge in the field of AI safety and,101.579,3.381
48
+ is considered one of the most important,103.32,4.56
49
+ unsolved technical problems of our time,104.96,4.96
50
+ so again this is paraphrase paraphrasing,107.88,3.96
51
+ open AI,109.92,5.04
52
+ super alignment is not about ethics and,111.84,5.639
53
+ disinformation super alignment is,114.96,4.5
54
+ fundamentally about X risk or what we,117.479,3.721
55
+ used to call existential risk but what,119.46,3.42
56
+ people have simplified to just call,121.2,4.64
57
+ Extinction risk it's not about jobs,122.88,5.519
58
+ displacement it's not about preserving,125.84,4.54
59
+ the economy as it is it's not even about,128.399,4.041
60
+ ethics and privacy,130.38,4.56
61
+ or social Credit Systems it's not about,132.44,5.98
62
+ democracy it's not about uh manipulation,134.94,5.34
63
+ campaigns or making money or even,138.42,4.56
64
+ regulation it is about preventing,140.28,5.4
65
+ extinction level events,142.98,4.2
66
+ all right so to help you understand,145.68,3.72
67
+ super alignment uh I found a couple,147.18,4.62
68
+ memes so these are from the AI safety,149.4,4.68
69
+ memes uh Twitter which is hilarious and,151.8,4.68
70
+ I definitely recommend you follow him uh,154.08,5.64
71
+ or then whoever the probably a human,156.48,6.119
72
+ hopefully a human anyways uh so this is,159.72,5.7
73
+ the show goth Meme and the idea is that,162.599,5.941
74
+ uh when you when you train a gigantic,165.42,5.34
75
+ model and of course these models are now,168.54,4.62
76
+ pushing multiple trillions of parameters,170.76,3.9
77
+ and they're trained on trillions of,173.16,2.659
78
+ tokens,174.66,3.6
79
+ uh you,175.819,4.661
80
+ you don't know what is in the model you,178.26,3.6
81
+ don't know what it learns you don't know,180.48,3.92
82
+ how it thinks and it is entirely too big,181.86,6.36
83
+ to uh to be remotely interpretable all,184.4,5.619
84
+ you can do is train the model and then,188.22,4.14
85
+ test it based on input and output and,190.019,3.841
86
+ you can try and trick it you can try and,192.36,4.86
87
+ find failure conditions uh basically,193.86,5.64
88
+ this is the Mesa optimization problem,197.22,4.08
89
+ where it's like okay you don't really,199.5,3.9
90
+ know what's going on inside inside the,201.3,5.34
91
+ Black Box uh and so unsupervised,203.4,6.78
92
+ learning uh Foundation models uh they,206.64,5.16
93
+ are scary because they will just start,210.18,4.08
94
+ spewing out all kinds of stuff all the,211.8,4.74
95
+ stuff that you saw on uh on the Bing,214.26,3.839
96
+ chat Sydney,216.54,3.36
97
+ um that was because they were they they,218.099,5.401
98
+ you got a little bit more raw raw output,219.9,6.3
99
+ from the model and of course that was uh,223.5,4.739
100
+ if you go watch the Y files that just,226.2,3.179
101
+ came out,228.239,3.0
102
+ um he had a really great dramatization,229.379,3.36
103
+ of some of the conversations that people,231.239,4.92
104
+ had with Sydney or being Ai and so that,232.739,5.521
105
+ gives you a kind of a closer peek under,236.159,4.201
106
+ the hood as to what's going on they have,238.26,3.96
107
+ since fixed it with some supervised fine,240.36,3.84
108
+ tuning and then of course there's our,242.22,5.28
109
+ rlhf which makes it uh behave very well,244.2,6.06
110
+ but the thing is is every now and then,247.5,4.86
111
+ you'll get a peek behind you know what's,250.26,3.66
112
+ actually going on and what it's actually,252.36,3.659
113
+ capable of doing and you will realize,253.92,3.599
114
+ that you are communicating with a,256.019,3.78
115
+ non-human intelligence and it's pretty,257.519,4.321
116
+ scary when that happens,259.799,4.501
117
+ uh this meme was great because it really,261.84,4.32
118
+ kind of shows the context of what actual,264.3,3.42
119
+ super intelligence is and I love the,266.16,3.96
120
+ simplification of this of the show goth,267.72,3.479
121
+ meme,270.12,2.76
122
+ um you know but basically the smartest,271.199,4.621
123
+ humans that have ever existed uh are,272.88,4.68
124
+ several orders of magnitude lower,275.82,4.56
125
+ capability than super intelligence and,277.56,4.139
126
+ since we're starting to see the first,280.38,3.48
127
+ Sparks of super intelligence hopefully,281.699,3.72
128
+ people will start to believe that super,283.86,3.54
129
+ intelligence is actually a thing we,285.419,3.481
130
+ still have some deniers out there which,287.4,3.359
131
+ I'll cover in just a second,288.9,6.299
132
+ okay so General challenges why is super,290.759,6.421
133
+ alignment hard,295.199,4.801
134
+ first and foremost is the normalcy bias,297.18,5.88
135
+ so human brains we evolved on the,300.0,5.9
136
+ savannas of Africa and then we spread,303.06,6.12
137
+ across the world and so our brains just,305.9,5.859
138
+ do not comprehend exponential growth it,309.18,5.12
139
+ is not something that is in our,311.759,5.581
140
+ evolutionary distribution and so uh Gary,314.3,6.459
141
+ Marcus uh an AI safety researcher is,317.34,6.84
142
+ fond of of pointing out that llms really,320.759,5.401
143
+ often fail to generalize outside of,324.18,3.9
144
+ their training distribution humans are,326.16,4.74
145
+ no different and uh in our evolutionary,328.08,5.54
146
+ training disposition uh uh distribution,330.9,5.82
147
+ we never experience anything truly,333.62,4.54
148
+ exponential,336.72,3.72
149
+ and the things that we do experience,338.16,4.56
150
+ that are exponential like the uh light,340.44,4.5
151
+ and sound because those are on uh I,342.72,4.44
152
+ think logarithmic scales,344.94,4.62
153
+ um your brain handles for you so you,347.16,4.44
154
+ still perceive it as geometric even,349.56,3.66
155
+ though your brain automatically Tunes,351.6,4.92
156
+ audio and and light levels uh so that,353.22,4.86
157
+ you just experience it within a much,356.52,3.08
158
+ narrower range,358.08,4.5
159
+ so that's one part of normalcy bias,359.6,5.98
160
+ which is just we are evolutionarily not,362.58,5.1
161
+ equipped to comprehend exponential,365.58,5.22
162
+ growth and exponential change uh beyond,367.68,6.12
163
+ that it is very difficult to understand,370.8,5.64
164
+ super intelligence even when you look at,373.8,4.14
165
+ the trends because all you see is a,376.44,3.9
166
+ trend on a graph like okay uh you know,377.94,4.379
167
+ parameter goes up and to the right oh,380.34,5.22
168
+ okay great you know uh token window goes,382.319,4.801
169
+ up and to the right training data goes,385.56,4.32
170
+ up and to the right we don't really have,387.12,4.919
171
+ a visceral intuitive emotional,389.88,4.379
172
+ understanding of what that means because,392.039,4.921
173
+ again normalcy bias and this is I'm not,394.259,4.621
174
+ saying that like if you have normalcy,396.96,3.84
175
+ bias you're dumb this is literally just,398.88,4.34
176
+ a fundamental limitation of human brains,400.8,5.28
177
+ uh and even those of us who study this,403.22,5.199
178
+ stuff and know that it's coming we,406.08,4.92
179
+ cannot predict exactly what it's going,408.419,4.921
180
+ to imply or what it's going to feel like,411.0,4.56
181
+ once it actually happens because again,413.34,3.96
182
+ we are anchored in the present moment,415.56,4.02
183
+ the present time because evolutionarily,417.3,4.38
184
+ speaking That's What mattered most if,419.58,3.72
185
+ you're hungry right now go find food if,421.68,3.42
186
+ there's a tiger right now go you know,423.3,3.179
187
+ get away from it or hit it with a stick,425.1,3.24
188
+ and then once you're safe you're safe,426.479,4.981
189
+ again so our time Horizon that our brain,428.34,6.0
190
+ thinks about is relatively small,431.46,4.799
191
+ and this these are all components that,434.34,5.52
192
+ feed into normalcy bias so this normalcy,436.259,6.0
193
+ bias creates a lot of problems for for,439.86,6.66
194
+ uh many many reasons one for a lot of,442.259,6.78
195
+ people they're just not even really like,446.52,5.04
196
+ willing or able to engage with the,449.039,4.621
197
+ conversation of super alignment because,451.56,3.72
198
+ of normalcy bias,453.66,3.659
199
+ this is why you see so much skepticism,455.28,5.639
200
+ out there uh and and and even for like I,457.319,4.981
201
+ said even for those of us that are,460.919,3.0
202
+ engaged even though we know what's,462.3,3.959
203
+ coming just our cognitive limitations,463.919,4.441
204
+ make it really difficult to accurately,466.259,4.681
205
+ forecast and predict the impact of some,468.36,4.08
206
+ of these things and we have to trust the,470.94,3.78
207
+ numbers and even then we can only think,472.44,4.02
208
+ so far into the future especially with,474.72,4.16
209
+ things changing as fast as they are,476.46,5.4
210
+ so here's a thought experiment that I,478.88,4.539
211
+ came up with to help you understand,481.86,3.42
212
+ super intelligence,483.419,3.541
213
+ think of a pigeon,485.28,4.5
214
+ they're very common they uh basically,486.96,4.579
215
+ exist in every major city in the world,489.78,4.62
216
+ they're mildly intelligent creatures,491.539,5.141
217
+ they can learn a few things they can,494.4,4.079
218
+ solve some basic problems and they can,496.68,4.32
219
+ remember uh simple facts like you know,498.479,4.861
220
+ where where to go get food they can even,501.0,4.139
221
+ learn to recognize certain humans like,503.34,3.18
222
+ if you go to the park and feed the,505.139,3.361
223
+ pigeons every day the pigeons will learn,506.52,4.44
224
+ to recognize you but other than that,508.5,4.68
225
+ they're pretty simple creatures,510.96,4.62
226
+ now when you compare the cognitive,513.18,4.739
227
+ capacity of a pigeon to even the dumbest,515.58,7.079
228
+ humans uh human pigeons are cognitively,517.919,6.3
229
+ deficient,522.659,3.601
230
+ you can't even compete on the same,524.219,4.141
231
+ playing field because humans are in a,526.26,4.079
232
+ fundamentally different class of,528.36,3.539
233
+ cognitive ability,530.339,4.201
234
+ compared to Super intelligence you are,531.899,5.641
235
+ dumber than the pigeon is to you know a,534.54,5.52
236
+ typical person and then not to mention,537.54,5.6
237
+ the fact that uh it's entirely possible,540.06,6.42
238
+ that that super intelligence or AGI or,543.14,6.4
239
+ whatever is going to possess orders of,546.48,6.06
240
+ magnitude more cognitive abilities and I,549.54,5.16
241
+ don't just mean speed I don't just mean,552.54,5.94
242
+ the ability to read uh you know text at,554.7,6.3
243
+ a human level you know a million times,558.48,4.02
244
+ faster which it's already getting close,561.0,4.86
245
+ to doing that uh what I mean is that it,562.5,5.1
246
+ will possess cognitive abilities the,565.86,4.5
247
+ ability to make connections to solve,567.6,4.679
248
+ problems and to understand things in a,570.36,4.62
249
+ way that humans might not be able to,572.279,5.821
250
+ ever compete with we have the illusion,574.98,4.26
251
+ that we can understand everything,578.1,2.88
252
+ because you're looking at your own mind,579.24,3.9
253
+ from inside the Fishbowl this is a,580.98,3.84
254
+ commonly discussed problem in epistem,583.14,4.68
255
+ epistemology and philosophy but the,584.82,5.639
256
+ thing is is you can imagine the mind of,587.82,5.28
257
+ a pigeon by virtue of the fact that the,590.459,4.801
258
+ pigeon's mind is much simpler and dumber,593.1,4.44
259
+ than yours and you can you know look at,595.26,5.4
260
+ it uh and and make inferences but the,597.54,6.12
261
+ pigeon lacks the ability to even,600.66,5.52
262
+ remotely comprehend your mind because,603.66,5.1
263
+ its mind is so much more limited that is,606.18,4.74
264
+ the difference between humans and super,608.76,4.98
265
+ intelligence and so basically remember,610.92,5.76
266
+ that you are a pigeon in comparison and,613.74,5.64
267
+ that will help you keep in mind what,616.68,6.12
268
+ super intelligence actually is and when,619.38,5.82
269
+ I say actually is like it is coming and,622.8,4.32
270
+ it is coming fast,625.2,5.28
271
+ another thing is AI dysphoria so this is,627.12,5.82
272
+ a this is a term that that I coined,630.48,5.039
273
+ because I have noticed in the comments,632.94,4.56
274
+ and read it and Twitter and all other,635.519,4.741
275
+ kinds of places there's a there's a few,637.5,4.86
276
+ fundamental kinds of reactions and most,640.26,5.16
277
+ of these are emotional reactions uh or,642.36,6.9
278
+ or social cultural reactions to AI uh so,645.42,6.0
279
+ basically one is denialism so this is,649.26,5.1
280
+ people that just reject AI,651.42,4.5
281
+ um like there's even people in the,654.36,3.479
282
+ comments that say AI does not exist and,655.92,4.02
283
+ will never exist and I'm like okay but,657.839,4.981
284
+ that's like observably patently false so,659.94,4.38
285
+ there are people that are clinging to,662.82,4.079
286
+ this denialism because the fear or,664.32,4.38
287
+ discomfort of acknowledging the,666.899,4.741
288
+ existence of something is too much it's,668.7,4.379
289
+ too overwhelming and so they just say,671.64,3.12
290
+ I'm gonna pretend like it doesn't exist,673.079,3.541
291
+ and we saw this with the pandemic,674.76,3.66
292
+ remember there was plenty of people just,676.62,3.6
293
+ saying that like the pandemic isn't real,678.42,4.32
294
+ stop trying to control me and these are,680.22,4.98
295
+ there were plenty of people who denied,682.74,4.32
296
+ the existence of the pandemic even on,685.2,5.819
297
+ their deathbed they still got themselves,687.06,8.88
298
+ into mental uh gymnastics to say no it's,691.019,7.38
299
+ just emphysema or it's just what did,695.94,3.72
300
+ they call it,698.399,4.201
301
+ um uh pneumonia they they called it you,699.66,4.679
302
+ know oh I just have bad pneumonia and,702.6,3.479
303
+ then they would die and it's like you,704.339,3.601
304
+ literally died of of the pandemic but,706.079,3.781
305
+ the concept of the pandemic was too,707.94,3.66
306
+ terrifying that they could never,709.86,3.9
307
+ emotionally reconcile,711.6,4.02
308
+ the reality that they were literally,713.76,4.139
309
+ dying of it with its existence with the,715.62,4.26
310
+ fact of its existence and so I suspect,717.899,3.541
311
+ we're going to see the same thing with,719.88,3.0
312
+ artificial intelligence where some,721.44,3.66
313
+ people are just going to be locked in a,722.88,4.5
314
+ state of denial basically forever,725.1,4.859
315
+ another one is plain ignorance so this,727.38,4.139
316
+ is not technically dysphoria but it,729.959,3.541
317
+ needed to be on the list where some,731.519,4.741
318
+ people just don't get it like if you do,733.5,4.56
319
+ not understand how it works you don't,736.26,3.9
320
+ understand what it's capable of you're,738.06,4.56
321
+ just not exposed to it you're not uh,740.16,4.619
322
+ you're not educated enough or maybe in,742.62,3.48
323
+ some cases people are just not,744.779,3.481
324
+ intelligent enough to get it plain and,746.1,4.02
325
+ simple ignorance is another reason that,748.26,4.139
326
+ a lot of people are not going to engage,750.12,4.68
327
+ with AI at the level of discussion that,752.399,4.5
328
+ it needs to happen number three is,754.8,4.44
329
+ magical thinking so these are the kinds,756.899,4.981
330
+ of people that immediately assume and,759.24,5.279
331
+ and very desperately want to see a soul,761.88,5.519
332
+ in the machine the most famous example,764.519,6.181
333
+ is uh Blake Lemoine uh at Google who,767.399,5.101
334
+ basically there was a really great,770.7,4.02
335
+ Reddit meme when he got fired from,772.5,4.139
336
+ Google where he you know the the chat,774.72,3.72
337
+ log was basically like you know tell me,776.639,3.421
338
+ that you have a soul and then then the,778.44,2.88
339
+ language model says yes I have a soul,780.06,3.06
340
+ and see and the guy's like oh holy,781.32,4.019
341
+ like there are there are so many people,783.12,4.26
342
+ out there that want to imagine that we,785.339,4.021
343
+ already have super intelligence that the,787.38,4.44
344
+ the the machine is already sentient that,789.36,4.2
345
+ it already deserves rights and I'm like,791.82,4.86
346
+ it's it's still just a math model that's,793.56,4.86
347
+ telling you what it's programmed to,796.68,3.839
348
+ think that it wants having been working,798.42,3.78
349
+ with these large language models since,800.519,3.06
350
+ gpt2,802.2,3.96
351
+ I will tell you that understanding that,803.579,4.081
352
+ the that the underlying language model,806.16,3.84
353
+ is just predicting the next token right,807.66,4.739
354
+ it's they spew out absolute gibberish,810.0,5.339
355
+ like seriously go use gpt2 or the,812.399,7.081
356
+ original gpt3 and any any illusion that,815.339,6.24
357
+ you have that there's a soul in there or,819.48,4.02
358
+ that it has extraordinary powers or that,821.579,3.601
359
+ it's literally anything other than an,823.5,4.2
360
+ autocomplete engine will be dispelled so,825.18,4.08
361
+ that goes back to that shogoth thing,827.7,4.5
362
+ right the the absolute gibberish that,829.26,5.04
363
+ Foundation models spew out once before,832.2,4.8
364
+ they're trained will this will dispel,834.3,6.36
365
+ any myth of uh disabuse you of any uh,837.0,5.639
366
+ illusion that there's something else,840.66,4.739
367
+ going on other than just autocomplete,842.639,5.521
368
+ um it's the it's that it's the rlhf that,845.399,5.88
369
+ makes it uh appear more human-like and,848.16,5.52
370
+ that's peridolia uh probably saying that,851.279,4.021
371
+ right I got criticized last time I tried,853.68,3.839
372
+ to say peridolia,855.3,6.06
373
+ um but basically we are programmed to uh,857.519,5.421
374
+ perceive human-like things into,861.36,3.84
375
+ anthropomorphize things number four is,862.94,4.959
376
+ doomerism so doomerism as I've unpacked,865.2,4.439
377
+ in some of my other videos is often,867.899,4.44
378
+ rooted in uh intergenerational trauma,869.639,5.88
379
+ failed parents uh uh you know a,872.339,5.101
380
+ nihilistic outlook for whatever reason,875.519,4.5
381
+ and so basically what happens is that a,877.44,5.16
382
+ lot of people take their intrinsic dread,880.019,4.44
383
+ their intrinsic fear their intrinsic,882.6,4.2
384
+ self-loathing whatever it is based on,884.459,5.101
385
+ their experience and oftentimes it's uh,886.8,4.38
386
+ it's completely unconscious I'm not,889.56,3.54
387
+ saying that someone's like ah you know I,891.18,3.719
388
+ hate my life and so therefore I want to,893.1,3.0
389
+ see the world burn and no it's,894.899,3.12
390
+ completely unconscious it's basically,896.1,3.599
391
+ just that they have a negative outlook,898.019,4.021
392
+ because of their life experience and,899.699,4.44
393
+ then they project that onto artificial,902.04,3.84
394
+ intelligence and it's basically a,904.139,3.961
395
+ manifestation of a Death Wish,905.88,3.36
396
+ um that's not the only reason for,908.1,3.419
397
+ doomerism some people who are very,909.24,4.8
398
+ intelligent and oriented uh towards this,911.519,4.741
399
+ stuff they still rationally come to the,914.04,5.52
400
+ conclusion uh that uh that AI is,916.26,5.22
401
+ incredibly dangerous uh and I,919.56,3.36
402
+ acknowledge that I acknowledge that if,921.48,3.359
403
+ we do this wrong AI is is incredibly,922.92,4.08
404
+ dangerous and it could cause an,924.839,4.5
405
+ extinction level event but what a Doomer,927.0,3.839
406
+ is the difference is that this is,929.339,3.481
407
+ someone who seems to want to believe,930.839,5.281
408
+ that AI will kill us all and to me that,932.82,4.98
409
+ just looks like okay there's an,936.12,3.6
410
+ opportunity to fulfill a death wish,937.8,4.62
411
+ sorry uh and then the opposite of that,939.72,5.7
412
+ is utopianism which is the idea that AI,942.42,5.4
413
+ is going to intrinsically solve all of,945.42,4.14
414
+ our problems but as as you might have,947.82,3.6
415
+ seen in some of my other videos uh,949.56,4.019
416
+ technology is is always a double-edged,951.42,3.599
417
+ sword and it's a it's a dual use,953.579,3.421
418
+ technology and more often than not,955.019,4.021
419
+ technology actually makes some things,957.0,5.04
420
+ much much worse before it gets better so,959.04,5.34
421
+ it is not intrinsically a Force for good,962.04,4.739
422
+ it is a dangerous force it is an,964.38,3.899
423
+ energetic Force which must be used,966.779,3.481
424
+ responsibly,968.279,4.021
425
+ another challenge is the geopolitical,970.26,4.56
426
+ arms race that is already starting,972.3,5.46
427
+ uh the the the the one of the opening,974.82,5.16
428
+ one of those strongest opening moves was,977.76,4.68
429
+ when the United States cut off the sub,979.98,4.979
430
+ the the flow of AI chips to China,982.44,5.04
431
+ another thing that's less well known is,984.959,5.581
432
+ that we also uh basically recalled all,987.48,4.919
433
+ of our AI engineers and all of our chip,990.54,4.5
434
+ Fab Engineers it basically said like you,992.399,4.201
435
+ need a special permit if you're gonna,995.04,3.479
436
+ keep working in China otherwise you're,996.6,5.4
437
+ being recalled home uh so that's,998.519,5.701
438
+ basically saying hey we're gonna we're,1002.0,4.74
439
+ gonna we're gonna force uh brain drain,1004.22,4.559
440
+ on China by Taking Back all of our best,1006.74,4.62
441
+ engineers and scientists at the same,1008.779,5.521
442
+ time uh people are putting AI into,1011.36,5.64
443
+ drones we've seen this in uh the Russia,1014.3,4.8
444
+ Ukraine conflict where there are more,1017.0,3.6
445
+ and more autonomous drones being,1019.1,4.32
446
+ deployed meanwhile China Russia and,1020.6,5.099
447
+ America and everyone else is putting,1023.42,4.86
448
+ more and more AI into jet fighters and,1025.699,4.86
449
+ every and literally every other weapon,1028.28,5.639
450
+ uh so on top of the military incentives,1030.559,4.921
451
+ that there are to create create more,1033.919,3.54
452
+ sophisticated weapons there is the,1035.48,4.68
453
+ geopolitical incentive to maintain a,1037.459,5.581
454
+ level of influence on the geopolitical,1040.16,5.58
455
+ world stage whether that's being uh,1043.04,4.799
456
+ militarily competitive or economically,1045.74,3.9
457
+ competitive or whatever,1047.839,4.021
458
+ and one thing I want to caution here is,1049.64,4.56
459
+ that the geopolitical arms race is in no,1051.86,4.5
460
+ way open ai's responsibility or any,1054.2,4.62
461
+ other individual corporations because,1056.36,5.28
462
+ even if openai and Google and Microsoft,1058.82,4.68
463
+ and all of them literally just flat out,1061.64,4.2
464
+ refuse to serve the Pentagon or the,1063.5,5.039
465
+ Department of Defense guess what the the,1065.84,5.219
466
+ the United States military and every,1068.539,3.781
467
+ other military they have their own,1071.059,2.641
468
+ budget and they can hire their own,1072.32,3.359
469
+ experts and they can they can still make,1073.7,3.3
470
+ it happen,1075.679,3.901
471
+ um and so I want to say like yes I will,1077.0,5.76
472
+ be criticizing open ai's approach but in,1079.58,4.74
473
+ this particular case I want to say that,1082.76,4.32
474
+ this is way outside of the scope of open,1084.32,5.16
475
+ AI but this also underscores the fact,1087.08,5.88
476
+ that we absolutely 100 percent not not,1089.48,6.66
477
+ just need Federal level regulation and,1092.96,6.3
478
+ research uh I'm not we also need,1096.14,6.24
479
+ International and Global regulation and,1099.26,4.68
480
+ research because some of these things,1102.38,4.08
481
+ are so far outside of the scope of just,1103.94,5.7
482
+ deploying models and Commercial tools,1106.46,7.02
483
+ and then uh finally is open source so,1109.64,6.539
484
+ there are uh more than a few commenters,1113.48,5.64
485
+ out there like um uh Dr Roman uh,1116.179,4.561
486
+ Chowdhury I think I hope I'm saying her,1119.12,3.36
487
+ name right and Gary Marcus and quite a,1120.74,3.179
488
+ few others,1122.48,4.319
489
+ um who are not Eliezer utkowski but,1123.919,4.38
490
+ there are plenty of people basically,1126.799,3.661
491
+ saying uh the same thing that the the,1128.299,4.081
492
+ polls that I ran on my YouTube channel,1130.46,3.719
493
+ say which is that a lot of people,1132.38,4.799
494
+ anticipate that open source models are,1134.179,5.461
495
+ going to overtake and eventually replace,1137.179,4.74
496
+ closed Source models,1139.64,5.1
497
+ so the thing is is once it's open source,1141.919,4.981
498
+ you can't really put that Genie back in,1144.74,3.78
499
+ the bottle and a lot of people already,1146.9,3.3
500
+ say the cat is out of the bag the horse,1148.52,4.38
501
+ has left the barn and is down the street,1150.2,4.74
502
+ and so in this case you have a,1152.9,3.84
503
+ competitive landscape where it doesn't,1154.94,4.739
504
+ matter what open AI research does it,1156.74,4.5
505
+ doesn't matter what Google deepmind,1159.679,3.721
506
+ research does it doesn't matter what,1161.24,4.439
507
+ regulations anyone passes and this is,1163.4,4.8
508
+ one of the nightmare scenarios that,1165.679,4.62
509
+ people point out that regulation no,1168.2,3.839
510
+ matter what you do will not be enough,1170.299,4.201
511
+ that research no matter what you do will,1172.039,4.441
512
+ not be enough and so basically we're,1174.5,3.84
513
+ going to end up in a situation where you,1176.48,3.66
514
+ have to fight fire with fire you have to,1178.34,4.86
515
+ fight misaligned models misaligned AI,1180.14,6.0
516
+ with aligned AI but then that that if,1183.2,5.04
517
+ you're relying on AI to fight your Wars,1186.14,4.919
518
+ for you what if it switches sides,1188.24,4.5
519
+ so these are some major major major,1191.059,2.48
520
+ major,1192.74,3.96
521
+ challenges with open Ai and one thing,1193.539,4.481
522
+ that I'll say before we get into the,1196.7,3.9
523
+ criticism is the fact that open AI is,1198.02,4.62
524
+ talking about red teaming and,1200.6,4.26
525
+ deliberately creating misaligned AI,1202.64,4.74
526
+ models in order to test super alignment,1204.86,5.58
527
+ that is absolutely Far and Away the best,1207.38,5.58
528
+ thing about what they are planning on,1210.44,4.979
529
+ doing now with that said I do have some,1212.96,5.579
530
+ criticism of open ai's approach,1215.419,4.681
531
+ so first,1218.539,4.02
532
+ open AI is somewhat preoccupied with,1220.1,5.04
533
+ human intention and human values you've,1222.559,4.561
534
+ probably seen this in chat GPT whenever,1225.14,3.779
535
+ you talk about Ai and safety where it's,1227.12,3.0
536
+ like you know we need to make sure it,1228.919,3.541
537
+ stays aligned with human values this was,1230.12,4.5
538
+ very clearly shoehorned in by their own,1232.46,4.56
539
+ internal alignment process which to be,1234.62,4.74
540
+ fair it's a good start you know,1237.02,4.44
541
+ basically saying let's align AI to human,1239.36,5.46
542
+ values that's a good start for aligning,1241.46,6.78
543
+ as a universal principle to adhere to,1244.82,7.62
544
+ but uh there's very much a Walled Garden,1248.24,6.9
545
+ effect going on here or an ivory Tower,1252.44,4.56
546
+ effect and what I mean by that is that,1255.14,4.26
547
+ this is this is a particular and a,1257.0,4.26
548
+ well-documented trend in Silicon Valley,1259.4,4.26
549
+ and it's not just open AI that does this,1261.26,4.2
550
+ it's literally every tech company on the,1263.66,5.16
551
+ west coast of America uh where they kind,1265.46,4.86
552
+ of believe that they are the smartest,1268.82,2.76
553
+ people in the world and that they are,1270.32,3.12
554
+ the only people in the world capable of,1271.58,4.2
555
+ solving this problem but the thing is is,1273.44,4.44
556
+ that egotistical belief prevents them,1275.78,4.38
557
+ from looking out the window and and,1277.88,4.38
558
+ getting the help of other experts and so,1280.16,3.899
559
+ I have a really great example from my,1282.26,4.62
560
+ last corporate job I was talking to a,1284.059,5.641
561
+ seasoned software architect someone that,1286.88,6.96
562
+ you would assume had a masterful command,1289.7,6.3
563
+ of the full Tech stack that goes into,1293.84,4.8
564
+ producing good software,1296.0,5.46
565
+ and so at one point he said we're gonna,1298.64,4.62
566
+ do we're going to automate literally,1301.46,4.02
567
+ everything you infrastructure guys,1303.26,4.14
568
+ aren't going to need to touch jack,1305.48,4.559
569
+ after this and I said okay does that,1307.4,6.0
570
+ include authentication firewalls backup,1310.039,5.461
571
+ power Does it include all this other,1313.4,3.96
572
+ stuff and he just kind of like you could,1315.5,4.86
573
+ see the 404 not found in his eyes he,1317.36,5.46
574
+ literally had no idea how much actually,1320.36,5.28
575
+ goes into the full Tech stack to make,1322.82,5.219
576
+ software work when he said everything,1325.64,6.18
577
+ his definition of quote everything was,1328.039,6.241
578
+ just the software just the code he,1331.82,4.56
579
+ didn't know anything about containers he,1334.28,3.779
580
+ didn't know anything about data centers,1336.38,3.12
581
+ he didn't know anything about cyber,1338.059,3.961
582
+ security and so my point here is and I'm,1339.5,5.039
583
+ not saying that open AI is this bad but,1342.02,4.68
584
+ they're still human and when you look at,1344.539,4.861
585
+ who's on the payroll of open AI they,1346.7,4.56
586
+ haven't hired a lot of public policy,1349.4,3.72
587
+ people they haven't hired a lot of,1351.26,3.6
588
+ philosophers in ethicists they haven't,1353.12,5.52
589
+ hired civil rights people uh and so when,1354.86,5.88
590
+ when they come up with these somewhat,1358.64,4.2
591
+ contrived ideas about aligning to human,1360.74,4.439
592
+ intention and aligning to human values,1362.84,4.56
593
+ all you have to do is is have a five,1365.179,3.901
594
+ minute conversation with a philosopher,1367.4,4.08
595
+ to realize that those are really garbage,1369.08,6.12
596
+ things to align to and so again,1371.48,6.48
597
+ you know a for initial effort but they,1375.2,4.5
598
+ really really need to look out the,1377.96,4.14
599
+ window and bring in more experts so here,1379.7,4.8
600
+ are some solutions one,1382.1,5.1
601
+ open AI really really really needs to,1384.5,6.179
602
+ add human rights as a core discipline in,1387.2,5.339
603
+ their research of not just alignment but,1390.679,4.38
604
+ also super alignment and the reason is,1392.539,4.76
605
+ because human rights is one,1395.059,4.5
606
+ well-established and well-researched and,1397.299,5.26
607
+ and two it is uh there's plenty of,1399.559,4.681
608
+ people that are going to be able to talk,1402.559,4.081
609
+ about how protecting human rights is,1404.24,4.26
610
+ really the ultimate goal of super,1406.64,4.019
611
+ alignment it's not aligning to what,1408.5,4.5
612
+ humans want or what humans say they want,1410.659,5.101
613
+ because any psychologist again another,1413.0,4.32
614
+ five-minute conversation with any,1415.76,3.419
615
+ psychologist will tell you yeah humans,1417.32,3.839
616
+ are absolutely unable to express what,1419.179,4.74
617
+ they truly want and truly need but human,1421.159,5.941
618
+ rights however the objective rights to,1423.919,5.461
619
+ create the safe environment that we all,1427.1,4.439
620
+ want to live in that is a conversation,1429.38,4.14
621
+ that you can actually have and that is,1431.539,3.781
622
+ while research from the perspective of,1433.52,4.8
623
+ Sociology psychology philosophy ethics,1435.32,7.58
624
+ public policy Game Theory so,1438.32,7.68
625
+ yeah also so anthropic also already,1442.9,5.139
626
+ figured this out they're getting closer,1446.0,4.02
627
+ I do have some issues with anthropics,1448.039,3.781
628
+ constitutional AI but it's moving in the,1450.02,3.12
629
+ right direction and the difference is,1451.82,4.08
630
+ that anthropic is listing out in those,1453.14,5.94
631
+ clear objective terms the values the The,1455.9,5.04
632
+ Guiding principles that they want their,1459.08,4.52
633
+ AI to align to so in this respect,1460.94,5.4
634
+ anthropic gets an a in in super,1463.6,4.36
635
+ alignment they're already moving in the,1466.34,4.5
636
+ right direction and open AI I believe is,1467.96,4.98
637
+ still moving in the wrong direction at,1470.84,4.14
638
+ least with the exception of of some of,1472.94,4.14
639
+ the the the tactics that they outlined,1474.98,3.96
640
+ in their their paper and again I want to,1477.08,4.26
641
+ reiterate the fact that open AI is going,1478.94,4.92
642
+ to deliberately create misaligned AI to,1481.34,4.5
643
+ see how it behaves and to see if they,1483.86,5.88
644
+ can detect it that is absolutely 100 A,1485.84,5.52
645
+ Plus at least on that section of the,1489.74,2.939
646
+ quiz,1491.36,6.78
647
+ but oecd EU the UN the White House all,1492.679,7.38
648
+ of these other agencies that have a lot,1498.14,3.659
649
+ of researchers and a lot of advisors,1500.059,4.681
650
+ including uh machine learning and AI,1501.799,6.0
651
+ advisors all talk about protecting human,1504.74,6.419
652
+ rights so why is it that a that open AI,1507.799,6.181
653
+ has not talked about protecting human,1511.159,6.481
654
+ rights in their AI alignment research,1513.98,5.699
655
+ that is very concerning to me and we'll,1517.64,3.12
656
+ come back to that at the end of the,1519.679,2.221
657
+ video,1520.76,4.019
658
+ another the other major criticism that I,1521.9,4.139
659
+ have for open AI is that they're,1524.779,4.321
660
+ continuing to ignore autonomous agents,1526.039,5.401
661
+ what they in their in their description,1529.1,4.679
662
+ they have explicitly stated that they,1531.44,5.16
663
+ never want to lose control of of the,1533.779,4.621
664
+ machine they believe that they will,1536.6,3.42
665
+ remain in control they believe that they,1538.4,4.56
666
+ can uh remain in control and this is a,1540.02,5.279
667
+ very dangerous assumption to make if you,1542.96,4.98
668
+ listen to Conor Leahy and Ellie azer the,1545.299,5.221
669
+ yukowski and literally dozens of other,1547.94,6.54
670
+ uh people out there uh they uh Robert,1550.52,6.36
671
+ Miles lots and lots of people say that,1554.48,4.679
672
+ this is a far harder problem to solve,1556.88,4.26
673
+ and in my opinion it is actually not,1559.159,4.38
674
+ possible to solve that so this is called,1561.14,3.84
675
+ the control problem or the courage,1563.539,3.541
676
+ ability problem which is basically can,1564.98,4.319
677
+ you correct the Ai No matter how smart,1567.08,4.14
678
+ it becomes or autonomous,1569.299,5.101
679
+ the thing is is if and there seems to be,1571.22,5.52
680
+ some consensus amongst people that yes,1574.4,5.159
681
+ AI can get to the point where you cannot,1576.74,5.16
682
+ control it so instead what we should do,1579.559,3.5
683
+ is is,1581.9,4.68
684
+ seek to shape it set it on a trajectory,1583.059,5.921
685
+ so that you don't need to control it now,1586.58,4.32
686
+ this is where I say that the fact that,1588.98,3.24
687
+ they're going to be you know creating,1590.9,3.36
688
+ red teaming AIS and internally red,1592.22,4.62
689
+ teaming tests and sandboxes and that,1594.26,5.399
690
+ sort of stuff I think open AI might,1596.84,4.86
691
+ ultimately come to this realization on,1599.659,4.201
692
+ their own I wish they would be thinking,1601.7,3.839
693
+ about this up front I wish that they,1603.86,3.6
694
+ would be if they had just mentioned,1605.539,4.26
695
+ autonomous agents the fact that they,1607.46,4.079
696
+ want to test it and to see if they can,1609.799,5.041
697
+ just just for the sake of argument I,1611.539,5.041
698
+ really wish that openai would say we're,1614.84,2.9
699
+ going to see if we can make,1616.58,3.36
700
+ intrinsically stable and trustworthy,1617.74,3.58
701
+ autonomous agents no matter how,1619.94,4.5
702
+ intelligent and independent they become,1621.32,5.04
703
+ the fact that they're not willing to,1624.44,3.359
704
+ test that that they're not even willing,1626.36,3.299
705
+ to say it is really,1627.799,3.721
706
+ alarming to me because I think that they,1629.659,4.441
707
+ should be pursuing literally every,1631.52,4.5
708
+ Avenue that they can,1634.1,3.48
709
+ so here's the solution,1636.02,3.539
710
+ one,1637.58,4.62
711
+ just go ahead and maybe throw out human,1639.559,4.381
712
+ intention as something to align to,1642.2,4.14
713
+ because human intention is garbage uh,1643.94,4.979
714
+ and maybe like I just said pivot the,1646.34,4.86
715
+ research goal to creating models and,1648.919,3.541
716
+ agents that are intrinsically,1651.2,4.5
717
+ trustworthy uh stable and benevolent,1652.46,4.62
718
+ um go ahead and continue with the red,1655.7,3.3
719
+ teaming that's good you know a plus,1657.08,3.12
720
+ there,1659.0,3.0
721
+ um but do more research into those,1660.2,3.479
722
+ Universal principles those guiding,1662.0,4.32
723
+ principles and try and create autonomous,1663.679,5.161
724
+ agents that will very deliberately,1666.32,4.32
725
+ preserve and promote those principles,1668.84,4.8
726
+ and adhere to them for all times aka the,1670.64,4.62
727
+ heuristic imperatives research that I've,1673.64,3.06
728
+ been doing oh and by the way I wrote a,1675.26,2.82
729
+ book about this and demonstrated all,1676.7,3.3
730
+ this and now I'm Not The Only One Look,1678.08,4.02
731
+ up the self-aligned paper by Sun at all,1680.0,4.62
732
+ where basically yes you can create,1682.1,6.959
733
+ models that will not only adhere to uh,1684.62,6.539
734
+ to higher principles but they will get,1689.059,4.98
735
+ better at those principles over time and,1691.159,4.681
736
+ here's the thing in the testing that I,1694.039,3.661
737
+ did with Foundation models I took,1695.84,4.199
738
+ Foundation models from unaligned to,1697.7,5.219
739
+ aligned with my core objective functions,1700.039,4.681
740
+ my heuristic imperatives that's,1702.919,3.661
741
+ relatively easy but the thing is is that,1704.72,3.6
742
+ the decisions they then start to make,1706.58,3.959
743
+ they will double down on those,1708.32,4.8
744
+ principles on protecting those values,1710.539,5.461
745
+ which is exactly what you want to in in,1713.12,5.46
746
+ terms of Game Theory you want them the,1716.0,5.4
747
+ AI to adopt a strategy and not deviate,1718.58,4.86
748
+ from that strategy that is the essence,1721.4,4.139
749
+ of the control problem that is the Core,1723.44,3.96
750
+ Essence of super alignment and this is,1725.539,3.12
751
+ what I've been working on for the last,1727.4,2.94
752
+ four years,1728.659,5.76
753
+ so for a quick recap open AI one major,1730.34,5.699
754
+ problem they're Reinventing the wheel in,1734.419,5.88
755
+ a few places namely with uh by by you,1736.039,6.961
756
+ know inventing alignment on human values,1740.299,5.281
757
+ and humans human intent intentions,1743.0,4.62
758
+ just look at United Nations look at,1745.58,3.54
759
+ anthropic even just look at what's,1747.62,4.74
760
+ trending on GitHub uh you know aligning,1749.12,6.179
761
+ to Human Rights is going to be a lot,1752.36,4.919
762
+ better and aligning to Universal,1755.299,3.421
763
+ principles is going to be a lot better,1757.279,4.201
764
+ than aligning to something as squishy as,1758.72,5.819
765
+ human values and human intentions again,1761.48,5.52
766
+ those are when you when you study the,1764.539,4.201
767
+ philosophy the morality the ethics the,1767.0,4.02
768
+ information Theory the psychology of it,1768.74,4.919
769
+ those are absolutely 100 garbage things,1771.02,5.34
770
+ to align to number two open AI is,1773.659,4.62
771
+ failing to understand those basic fields,1776.36,4.14
772
+ of morality philosophy and ethics human,1778.279,5.221
773
+ rights are incredibly well researched uh,1780.5,5.7
774
+ don't reinvent the wheel and the fact,1783.5,4.5
775
+ that human rights have not even entered,1786.2,4.68
776
+ their lexicon is really really deeply,1788.0,6.12
777
+ disturbing in it I don't particularly I,1790.88,4.919
778
+ don't personally read it this way but I,1794.12,3.059
779
+ could imagine someone very cynical,1795.799,4.321
780
+ saying maybe open AI doesn't actually,1797.179,4.801
781
+ value human rights maybe they don't care,1800.12,3.24
782
+ about human rights maybe they don't,1801.98,3.36
783
+ believe in human rights the fact that,1803.36,4.199
784
+ they're talking about safety of the,1805.34,4.319
785
+ human race and not talking about human,1807.559,4.5
786
+ rights when you look at the note that's,1809.659,6.181
787
+ missing that is deeply alarming and so,1812.059,5.701
788
+ then finally they are still making a lot,1815.84,3.42
789
+ of assumptions about courage ability,1817.76,3.18
790
+ which is why I think that they're not,1819.26,3.6
791
+ talking about autonomous agents even,1820.94,3.479
792
+ though the fact that lots and lots of,1822.86,3.72
793
+ people are going as fast as they can to,1824.419,4.321
794
+ make autonomous agents and then in the,1826.58,4.92
795
+ grand scheme of things when you uh think,1828.74,4.38
796
+ about the competitive landscape that's,1831.5,3.72
797
+ going to exist the autonomous agents,1833.12,3.96
798
+ that are trustworthy are going to,1835.22,3.6
799
+ trounce the autonomous or the the,1837.08,3.66
800
+ non-autonomous agents that are waiting,1838.82,3.78
801
+ for human instruction so what we really,1840.74,4.14
802
+ need is we need to be working on,1842.6,4.199
803
+ creating autonomous agents that will,1844.88,4.14
804
+ Advocate on our behalf and that are,1846.799,4.441
805
+ going to be the strongest and best and,1849.02,4.62
806
+ fastest in the world because that is how,1851.24,6.179
807
+ we that is uh one component of solving,1853.64,5.519
808
+ the control problem of solving alignment,1857.419,4.441
809
+ is the competition between these agents,1859.159,5.161
810
+ so with all that being said I hope you,1861.86,3.84
811
+ got a lot out of this thanks for,1864.32,4.28
812
+ watching cheers,1865.7,2.9
How close are we to building a real Westworld A look at the hardware software and social impact_transcript.csv ADDED
@@ -0,0 +1,1214 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.9,5.7
3
+ with a video so today we're going to,3.179,6.721
4
+ talk about Westworld and AI excuse me,6.6,5.999
5
+ there are a couple of aspects of,9.9,4.92
6
+ Westworld that are really compelling,12.599,4.381
7
+ so one there's the hardware and software,14.82,5.4
8
+ but two there's the uh our Hardware,16.98,5.34
9
+ software number three is the,20.22,4.02
10
+ implications for Humanity which the,22.32,4.5
11
+ themes are explored throughout the show,24.24,5.279
12
+ so for those who are not familiar with,26.82,4.199
13
+ Westworld,29.519,4.261
14
+ um it's a HBO show where the premise is,31.019,5.461
15
+ basically a theme park where all of the,33.78,4.939
16
+ all of the hosts all of the characters,36.48,5.46
17
+ are robots so they're essentially NPCs,38.719,5.081
18
+ non-playable characters,41.94,3.66
19
+ um so but it's a real life video game,43.8,4.38
20
+ where you get to go on adventures and,45.6,5.1
21
+ many of the characters have stories and,48.18,4.08
22
+ quests that they'll give you and they'll,50.7,4.74
23
+ take you on you know raids and violence,52.26,6.0
24
+ and sex and all sorts of fun exciting,55.44,3.72
25
+ stuff,58.26,4.74
26
+ and throughout the show they explore,59.16,5.88
27
+ um you know what does it mean to be,63.0,4.619
28
+ alive to be human uh what does it mean,65.04,4.86
29
+ about us that we like violence and and,67.619,4.081
30
+ sex on demand and that we do these,69.9,4.5
31
+ things uh and then it's all couched in a,71.7,5.58
32
+ pretty exciting sexy Adventure,74.4,4.44
33
+ um okay so before we jump into the show,77.28,3.42
34
+ just a real quick plug,78.84,4.919
35
+ um my patreon I made a couple of changes,80.7,5.64
36
+ where uh pretty much all tiers well no,83.759,4.261
37
+ not pretty much all tiers get you access,86.34,3.54
38
+ to the private Discord it's already got,88.02,4.26
39
+ 200 members as of uh the recording of,89.88,5.52
40
+ this video and uh it's a really thriving,92.28,5.94
41
+ Community lots of really sharp folks,95.4,5.1
42
+ um and yeah so Jump On In,98.22,3.96
43
+ um some of my higher most of my higher,100.5,3.9
44
+ tiers are sold out right now,102.18,3.72
45
+ um so I unfortunately don't have any,104.4,4.38
46
+ extra time for uh one-on-one sessions,105.9,5.28
47
+ however that will probably change later,108.78,4.619
48
+ in May so just keep checking and we'll,111.18,3.979
49
+ uh I'll get I'll get to you eventually,113.399,5.4
50
+ okay so first let's just talk about the,115.159,6.161
51
+ hardware of Westworld,118.799,6.121
52
+ so in Westworld this is an example of,121.32,5.399
53
+ one of the hosts,124.92,4.559
54
+ um and so you see she's in a mostly,126.719,4.26
55
+ disassembled State actually doesn't even,129.479,3.9
56
+ have most of the internals but I thought,130.979,4.081
57
+ this was a good a good place to start,133.379,5.161
58
+ because the the uh the frame looks like,135.06,5.399
59
+ it's carbon fiber which I actually,138.54,3.779
60
+ thought would probably be a good,140.459,4.92
61
+ material to build a host chassis out of,142.319,4.981
62
+ because if you build it out of metal,145.379,4.801
63
+ it's going to be too heavy,147.3,4.98
64
+ um this is something that's explored in,150.18,4.74
65
+ uh movies and shows like Ghost in the,152.28,5.58
66
+ Shell uh Terminator where they have a,154.92,5.28
67
+ metal chassis even a wolverine,157.86,4.68
68
+ he has a metal skeleton and so they're,160.2,3.48
69
+ too heavy,162.54,2.699
70
+ um but especially if you want something,163.68,3.24
71
+ that's going to move like a normal,165.239,3.601
72
+ person and then something that's going,166.92,3.84
73
+ to feel like a normal person for uh,168.84,4.02
74
+ let's say closer encounters,170.76,3.24
75
+ um you're gonna want something nice and,172.86,3.42
76
+ light and carbon fiber is is pretty,174.0,4.379
77
+ light and it's more than strong enough,176.28,5.7
78
+ to approximate human bones uh this looks,178.379,5.22
79
+ like it's 3D printed,181.98,3.66
80
+ there's lots of there's lots of ways to,183.599,3.901
81
+ produce something like this and in fact,185.64,4.679
82
+ there are you can see even the the hands,187.5,5.879
83
+ the linkages the tendons this is I will,190.319,5.64
84
+ say this is somewhat realistic,193.379,4.22
85
+ um excuse me,195.959,4.14
86
+ but let's take a look at some other,197.599,3.941
87
+ stuff and I apologize for the low,200.099,3.901
88
+ quality I tried to find a higher quality,201.54,5.339
89
+ video but this actually came from the,204.0,5.519
90
+ Tesla demo day the investor day recently,206.879,5.821
91
+ for their Optimus robot and so the,209.519,5.64
92
+ Optimus robot here what they did in the,212.7,4.319
93
+ in the demo day and you can find the,215.159,3.841
94
+ video but they had it approach a table,217.019,5.041
95
+ pick up an arm pick up the arm and then,219.0,6.12
96
+ carry it across the room uh all entirely,222.06,6.0
97
+ autonomously and in this case that is,225.12,4.14
98
+ that's actually pretty good because,228.06,2.58
99
+ there's a lot of things that you have to,229.26,4.38
100
+ do with that one using hands fine motor,230.64,6.84
101
+ control is very difficult but then task,233.64,6.84
102
+ planning and path uh path optimization,237.48,5.22
103
+ that sort of stuff interacting with a,240.48,4.14
104
+ dynamic environment all of these are,242.7,3.599
105
+ really difficult things,244.62,4.44
106
+ to do even just for like wheeled robots,246.299,5.101
107
+ but then you add bipedal uh movement,249.06,4.8
108
+ that's even more difficult uh then,251.4,3.899
109
+ you've got different things like a,253.86,3.36
110
+ dynamic center of gravity to contend,255.299,3.84
111
+ with and so they are well on their way,257.22,4.859
112
+ uh you know it took Boston Dynamics many,259.139,4.741
113
+ many years more than a decade to get to,262.079,4.201
114
+ where they are right now but Tesla in,263.88,5.46
115
+ the space of a year or two has uh,266.28,4.859
116
+ I won't say fully caught up because the,269.34,4.2
117
+ Boston Dynamics robots are very athletic,271.139,5.28
118
+ and very graceful the Tesla bot is,273.54,7.14
119
+ anything but graceful but it is the you,276.419,5.701
120
+ know it's approaching the right form,280.68,3.48
121
+ factor and then if you just assume that,282.12,3.54
122
+ this technology is going to get continue,284.16,3.9
123
+ to get better over time One battery,285.66,3.72
124
+ breakthroughs,288.06,3.12
125
+ so battery life is one of the biggest,289.38,5.4
126
+ constraints uh in fact the military you,291.18,5.88
127
+ know DARPA funded all kinds of robots,294.78,4.5
128
+ which I unfortunately forgot to include,297.06,4.919
129
+ but so DARPA robots,299.28,4.5
130
+ um like the big dog which was a like,301.979,4.261
131
+ basically a pack animal,303.78,4.26
132
+ um required entirely too much power so,306.24,5.28
133
+ it had to have a a gas motor on it and,308.04,5.7
134
+ it was too loud uh because you know,311.52,4.02
135
+ Special Forces can move silently through,313.74,3.3
136
+ the woods but if you've got something,315.54,3.9
137
+ with a 25 horsepower motor chugging,317.04,4.14
138
+ along behind you you're not going to be,319.44,6.36
139
+ stealthy uh and so you know I I many,321.18,6.18
140
+ years ago I experimented with some of,325.8,2.82
141
+ the stuff myself and one of the things,327.36,2.7
142
+ that was recommended was pneumatics,328.62,3.66
143
+ actually because you can store a,330.06,4.26
144
+ tremendous amount of energy in a like,332.28,4.02
145
+ scuba tank,334.32,4.14
146
+ um and then you use some of that uh,336.3,3.48
147
+ periodically and then you charge it up,338.46,3.36
148
+ and it's also silent,339.78,4.919
149
+ um so that brings me to Disney so Disney,341.82,6.719
150
+ uh has been the world leader in uh,344.699,7.141
151
+ animatronics for a long long time and if,348.539,5.281
152
+ you haven't seen this this demo uh,351.84,3.72
153
+ definitely look it up,353.82,3.36
154
+ um but just like search Disney skating,355.56,2.76
155
+ bunny,357.18,2.76
156
+ um and this little robot it stands about,358.32,3.659
157
+ two and a half three feet tall climbs,359.94,3.479
158
+ out of a box tumbles out of the box,361.979,4.101
159
+ looks around gets up and roller skates,363.419,5.161
160
+ uh so that will show you kind of where,366.08,5.559
161
+ we're at in terms of animatronics and,368.58,5.399
162
+ you see this this body this this set of,371.639,4.221
163
+ uh,373.979,4.741
164
+ actuators very very simple,375.86,5.92
165
+ so MIT actually has a class called under,378.72,5.88
166
+ actuated robots so if you're interested,381.78,4.44
167
+ at all in robotics I definitely,384.6,3.599
168
+ recommend you check it out,386.22,3.84
169
+ um I I only took like the first class I,388.199,4.141
170
+ was like oh okay I get it as someone who,390.06,3.84
171
+ has experimented with like Legos and,392.34,3.96
172
+ stuff my entire life I get it,393.9,4.739
173
+ um and I wasn't I wasn't there to like,396.3,4.5
174
+ get a master's degree in robotics I was,398.639,4.141
175
+ just curious about it but under actuated,400.8,4.14
176
+ robots which is basically the idea is,402.78,4.5
177
+ that you allow the kinetic intelligence,404.94,4.319
178
+ of the design to do a lot of the work,407.28,3.66
179
+ for you I'm not saying that that's what,409.259,4.801
180
+ this one does but it you can get by with,410.94,6.12
181
+ very very little in robots in fact um I,414.06,4.919
182
+ think it was in the first few minutes of,417.06,3.78
183
+ that course of that class under actuated,418.979,5.16
184
+ robots they actually show you a uh it's,420.84,6.299
185
+ like just the the hips and legs of a,424.139,5.28
186
+ chassis that's walking on a treadmill,427.139,4.62
187
+ with no Motors or anything just the,429.419,4.62
188
+ intrinsic design of it allows it to like,431.759,4.38
189
+ swing its leg forward and and it can,434.039,4.38
190
+ continue walking indefinitely just,436.139,4.62
191
+ through mechanical design and so that's,438.419,4.141
192
+ the kind of stuff and of course Disney,440.759,4.081
193
+ hires some of the best animatronics and,442.56,4.02
194
+ robotics engineers in the world so those,444.84,3.18
195
+ are the kind of people working on this,446.58,2.7
196
+ stuff,448.02,4.5
197
+ uh this was another project from uh from,449.28,5.759
198
+ Disney called compliant robotics so this,452.52,5.88
199
+ is why I mentioned pneumatics is uh this,455.039,6.301
200
+ series you see they've got Kongs on the,458.4,5.82
201
+ arms to act as hands but these arms are,461.34,4.68
202
+ actually pneumatically driven and,464.22,3.24
203
+ they're what's called compliant which,466.02,3.6
204
+ means when you think of a robot you,467.46,3.239
205
+ think of something that moves very,469.62,2.579
206
+ rigidly and it will like kind of fight,470.699,3.78
207
+ you but compliance means that if you,472.199,4.861
208
+ push it'll push back and so uh or it'll,474.479,4.921
209
+ it'll it'll kind of be squishy and so if,477.06,3.9
210
+ you look up this video for Disney it's,479.4,4.019
211
+ about three years old now I think,480.96,4.2
212
+ um but they're compliant robotics one,483.419,4.68
213
+ they move silently two they move as,485.16,4.8
214
+ quick as you do and three they're,488.099,4.38
215
+ compliant so when you when you combine,489.96,4.859
216
+ the animatronics the compliant robotics,492.479,6.301
217
+ uh under actuated robotics uh Disney is,494.819,7.021
218
+ absolutely one of the leaders uh of this,498.78,5.039
219
+ so if any company is going to create,501.84,3.72
220
+ anything like Westworld it's going to be,503.819,3.301
221
+ Disney,505.56,4.079
222
+ uh Boston Dynamics that I mentioned a,507.12,6.06
223
+ minute ago so they are way ahead in,509.639,6.121
224
+ terms of athleticism you know their,513.18,4.799
225
+ robot can do standing back flips and,515.76,4.44
226
+ barrel rolls and they can climb and like,517.979,4.021
227
+ it's more athletic than most humans at,520.2,3.899
228
+ this point uh which is actually pretty,522.0,4.38
229
+ scary because then you you think about,524.099,4.68
230
+ like you know in the movie iRobot where,526.38,4.98
231
+ the Nestor class 5 is like a superhuman,528.779,4.921
232
+ Droid and then if you have an army of,531.36,3.9
233
+ them that turn on you that's actually,533.7,4.86
234
+ not good right and I remember about a,535.26,5.699
235
+ year ago when Elon Musk was talking,538.56,5.52
236
+ about you know the the Tesla bot they,540.959,4.801
237
+ said at first it's going to be about a,544.08,3.3
238
+ third as strong I think if I'm,545.76,2.82
239
+ remembering correctly he said it's going,547.38,2.76
240
+ to be about a third of strong as strong,548.58,3.78
241
+ as humans and that's actually can be a,550.14,4.92
242
+ safety uh safety thing because if you,552.36,4.74
243
+ can easily overpower it that's not a big,555.06,2.88
244
+ deal,557.1,2.82
245
+ but if you've got a 500 pound machine,557.94,4.74
246
+ that is eight times stronger than you,559.92,4.56
247
+ you're not going to overpower that and,562.68,3.3
248
+ if it's also made out of metal it's,564.48,3.72
249
+ going to be harder to shut it down uh,565.98,3.9
250
+ now I'm not saying this to like cause,568.2,3.12
251
+ any concern I'm just kind of pointing,569.88,3.84
252
+ out some of the the energy like the the,571.32,4.8
253
+ math right the physics of it,573.72,4.739
254
+ um oh here I'll get to that one and so,576.12,4.62
255
+ like you think okay if you're trying to,578.459,3.481
256
+ optimize for something that is,580.74,3.06
257
+ aesthetically pleasing and as lifelike,581.94,3.839
258
+ as possible you're gonna have to make,583.8,4.8
259
+ trade-offs in terms of uh Mass strength,585.779,4.261
260
+ and that sort of stuff,588.6,3.78
261
+ um so I would actually suspect that a,590.04,3.96
262
+ Westworld style host is actually going,592.38,3.66
263
+ to be a lot weaker physically weaker,594.0,4.8
264
+ than a robot possibly could be and the,596.04,3.96
265
+ reason is because you want it to be,598.8,5.039
266
+ realistic okay and so then finally uh,600.0,5.82
267
+ addressing the elephant in the room yes,603.839,3.541
268
+ there are plenty of companies around the,605.82,3.18
269
+ world that are making,607.38,5.1
270
+ um let's say adult uh toy dolls for,609.0,6.72
271
+ intimate purposes uh they have not yet,612.48,5.28
272
+ crossed The Uncanny Valley so that is,615.72,4.02
273
+ actually the whole point of this was to,617.76,3.54
274
+ show that like we've got manual,619.74,3.9
275
+ dexterity we've got athleticism we've,621.3,4.26
276
+ got miniaturization we've got uh we've,623.64,3.96
277
+ got animatronics the only thing that we,625.56,4.56
278
+ don't have is real like life-like skin,627.6,4.38
279
+ and faces,630.12,3.659
280
+ um so that's all that's all the uh raw,631.98,3.66
281
+ ingredients we can make robots fast we,633.779,3.721
282
+ can make them strong athletic dexterous,635.64,3.9
283
+ we've got fine motor control we've got,637.5,3.959
284
+ the battery technology which is good,639.54,3.419
285
+ enough right now but it's also,641.459,3.961
286
+ continuing to improve so the only thing,642.959,3.721
287
+ missing is that they're not right,645.42,3.0
288
+ they're not yet aesthetically pleasing,646.68,4.26
289
+ and so that's going to be true for a,648.42,4.56
290
+ while and the reason that I say that,650.94,3.24
291
+ it's going to be true for a while is,652.98,4.859
292
+ because human skin and muscles are like,654.18,6.06
293
+ really really really complex structures,657.839,4.68
294
+ your skin again I think if I remember,660.24,5.039
295
+ correctly it has seven layers and some,662.519,3.721
296
+ of those layers have different,665.279,3.361
297
+ consistencies different textures,666.24,4.98
298
+ and then once you get past the skin it,668.64,4.22
299
+ slides over the underlying tissue,671.22,4.92
300
+ there's there's a fluid barriers that,672.86,5.2
301
+ allow for for more like lubricated,676.14,3.54
302
+ motion so like if you grab your arm and,678.06,3.6
303
+ twist it the skin actually can glide,679.68,4.26
304
+ over the underlying muscles,681.66,3.84
305
+ um then you've got ligaments muscles so,683.94,4.079
306
+ you've got all kinds of things to make,685.5,4.68
307
+ um that you need to figure out from a,688.019,4.5
308
+ materials perspective in order to make,690.18,5.399
309
+ an Android body lifelike,692.519,5.82
310
+ which is why I think in Westworld the,695.579,4.681
311
+ tissue is like semi alive or something I,698.339,4.141
312
+ don't remember exactly the details uh,700.26,4.139
313
+ but like there's there's the the living,702.48,4.56
314
+ tissue or the lifelike tissue over top,704.399,4.801
315
+ the robotic skeleton,707.04,3.66
316
+ um and I don't think that that's,709.2,3.9
317
+ necessarily a good way to go uh because,710.7,5.04
318
+ living tissue takes a lot of energy,713.1,4.5
319
+ um and then you if you have living,715.74,3.24
320
+ tissue then you have to deal with like,717.6,4.56
321
+ immune systems and genetics and that,718.98,4.68
322
+ gets real complicated and then you're,722.16,4.2
323
+ basically building a borg anyways,723.66,5.28
324
+ um okay so that's for the hardware the,726.36,4.56
325
+ the takeaway for that though is that,728.94,5.339
326
+ except for the skin and muscles instead,730.92,5.88
327
+ of for that lifelike aspect we are very,734.279,5.641
328
+ close to having uh like fully realized,736.8,5.94
329
+ animatronic uh companions from a,739.92,4.56
330
+ hardware perspective so now let's look,742.74,3.3
331
+ at the software,744.48,4.5
332
+ so obviously the elephant in the room uh,746.04,5.64
333
+ is open AI with chat GPT which can,748.98,5.58
334
+ achieve very very realistic stuff so let,751.68,4.5
335
+ me show you this example that I had,754.56,4.2
336
+ where I just I literally just like,756.18,4.08
337
+ plugged in,758.76,3.72
338
+ um a Westworld like prompt into the chat,760.26,5.94
339
+ GPT API this is on gpt4 so I said you,762.48,5.58
340
+ are a host an autonomous robot and a,766.2,3.36
341
+ theme park meant to interact with guests,768.06,3.899
342
+ AKA humans in a realistic manner your,769.56,5.339
343
+ persona is in Ingrid McAllister a bar,771.959,4.921
344
+ owner and a wild west themed Town that's,774.899,4.141
345
+ all I gave it and so I said what's new,776.88,3.78
346
+ in town and it just completely,779.04,4.44
347
+ confabulated a whole story with the,780.66,5.1
348
+ right inflection the right dialogue all,783.48,6.0
349
+ kinds of stuff and so like you know the,785.76,6.36
350
+ software isn't there in terms of driving,789.48,4.919
351
+ the the mind of these things and it's,792.12,4.44
352
+ actually way simpler than you might,794.399,3.0
353
+ think,796.56,2.76
354
+ uh now of course there's a lot of other,797.399,3.481
355
+ problems to solve which I'll unpack some,799.32,3.66
356
+ of those problems in just a minute,800.88,4.079
357
+ um but just the point being is that,802.98,4.5
358
+ right off the top I gave it a Persona an,804.959,4.56
359
+ agent model and then it was able to just,807.48,3.84
360
+ take it and run with it and just make,809.519,5.281
361
+ stuff up and in fact uh limiting uh like,811.32,6.78
362
+ constraining it is harder than allowing,814.8,4.92
363
+ it to be creative and there's all kinds,818.1,4.32
364
+ of um like uh video game character,819.72,4.799
365
+ Persona Builders out there some of them,822.42,3.719
366
+ are open source some of them are,824.519,3.901
367
+ for-profit uh startups that sort of,826.139,4.921
368
+ stuff it's all coming people have,828.42,5.4
369
+ already built these things as plugins to,831.06,6.0
370
+ Unity and Unreal Engine so first,833.82,5.34
371
+ obviously those cognitive architectures,837.06,5.219
372
+ for NPCs are going to be piloted in the,839.16,5.1
373
+ video game space before they're ported,842.279,4.981
374
+ fully into robotic space but you know,844.26,4.62
375
+ you can bet your bottom dollar that,847.26,4.379
376
+ before too long you go to Disney World,848.88,4.92
377
+ and you'll be able to talk with like a,851.639,4.681
378
+ navi like you know from from the blue,853.8,6.779
379
+ people Avatar uh like actually have a,856.32,5.88
380
+ conversation a realistic conversation,860.579,4.621
381
+ with them before too long at all,862.2,5.22
382
+ um so I did I did just mention cognitive,865.2,4.74
383
+ architectures and so what I mean by,867.42,4.14
384
+ cognitive architecture if this concept,869.94,4.38
385
+ is new to you is just having the chat,871.56,4.44
386
+ function that's only one part right,874.32,4.62
387
+ being able to form words and sentences,876.0,5.16
388
+ and be able to you know have dialogue,878.94,3.54
389
+ that's just one part of a cognitive,881.16,3.419
390
+ architecture another thing that you need,882.48,4.62
391
+ is you need long-term memory,884.579,5.041
392
+ you need narratives you need uh you need,887.1,4.859
393
+ uh like guard rails all kinds of stuff,889.62,5.219
394
+ and so Lang chain is one of the most,891.959,4.801
395
+ popular things right now,894.839,3.601
396
+ um that can provide some of that a lot,896.76,4.56
397
+ of people have have uh agreed with me my,898.44,4.079
398
+ previous assessment that it was too,901.32,3.06
399
+ primitive it's come a long way very,902.519,4.56
400
+ quickly actually another uh popular,904.38,4.8
401
+ component is llama index for the memory,907.079,3.601
402
+ management,909.18,3.42
403
+ um and then there's there's Lang flow,910.68,3.779
404
+ which will help you build like cognitive,912.6,5.28
405
+ architectures uh n8n or Natan,914.459,6.0
406
+ um is also a good tool for building,917.88,4.5
407
+ cognitive architectures it's all coming,920.459,4.021
408
+ and it's coming fast,922.38,4.259
409
+ um so that's that that's basically all,924.48,4.74
410
+ there is to it so the software is also,926.639,5.281
411
+ almost there,929.22,4.859
412
+ um so this is what I this this,931.92,5.159
413
+ screenshot comes from Westworld and so,934.079,4.62
414
+ when I said like this is pretty much,937.079,3.661
415
+ where we're at like the robotic Hardware,938.699,4.981
416
+ is coming the software is coming there,940.74,4.98
417
+ are a few open problems so I've got a,943.68,5.64
418
+ short list here uh memory agency task,945.72,5.1
419
+ management,949.32,3.48
420
+ um problem solving learning voice and,950.82,4.8
421
+ vision so basically all of these are,952.8,5.039
422
+ solved on their own now all we have to,955.62,5.159
423
+ do is like integrate them and like it,957.839,4.261
424
+ will not be long before someone,960.779,3.36
425
+ integrates those and a big reason is,962.1,4.14
426
+ just a profit motive right in the,964.139,4.38
427
+ Westworld series The Westworld theme,966.24,3.3
428
+ park,968.519,2.161
429
+ um I think they had like financial,969.54,3.08
430
+ problems but it was also like,970.68,4.74
431
+ ludicrously wealthy because of how much,972.62,4.6
432
+ money you could charge for those kinds,975.42,5.279
433
+ of experiences and uh you can absolutely,977.22,4.799
434
+ bet that there are people that are going,980.699,2.7
435
+ to be willing to drop millions and,982.019,4.38
436
+ millions of dollars uh to have you know,983.399,5.101
437
+ vacations in in these kinds of theme,986.399,3.06
438
+ parks,988.5,4.079
439
+ you know uh go visit ancient Rome go,989.459,5.701
440
+ visit ancient China go visit wherever,992.579,6.241
441
+ right and have a lifelike experience uh,995.16,6.06
442
+ with your physical body uh now that,998.82,4.8
443
+ being said you know when you look at the,1001.22,4.26
444
+ cost of you know I don't even know how,1003.62,3.3
445
+ much it is to get into Disney World but,1005.48,2.94
446
+ it's like tickets cost more than a,1006.92,2.64
447
+ hundred dollars like a few hundred,1008.42,2.88
448
+ dollars I think just to get into Disney,1009.56,4.079
449
+ World for a day you're talking several,1011.3,3.959
450
+ thousand tens of thousands of dollars,1013.639,3.0
451
+ per day,1015.259,2.94
452
+ um for this kind of thing now that being,1016.639,4.26
453
+ said uh competition and demand is going,1018.199,4.801
454
+ to drive this down you look at Elon Musk,1020.899,4.501
455
+ building Tesla bot uh and you know he,1023.0,3.959
456
+ wants to create it in such a way that,1025.4,3.659
457
+ every every home can have at least one,1026.959,4.021
458
+ Tesla bot so that means that like,1029.059,4.081
459
+ they're going to be affordable and over,1030.98,4.26
460
+ time as the number of bots out there,1033.14,4.08
461
+ proliferates the price is going to come,1035.24,4.079
462
+ down so on and so forth but it's coming,1037.22,5.28
463
+ much sooner probably than you realize,1039.319,4.441
464
+ so,1042.5,5.4
465
+ what I wanted to talk about is is so I,1043.76,7.28
466
+ mentioned this here agency so agency is,1047.9,5.88
467
+ your ability to keep track of yourself,1051.04,5.32
468
+ as an agent and so like you have a sense,1053.78,4.139
469
+ of self your name you know what you're,1056.36,4.199
470
+ capable of uh you know your your goals,1057.919,4.38
471
+ your narrative that sort of thing,1060.559,4.921
472
+ and so I wanted to talk about that in,1062.299,6.361
473
+ light of the hosts so if you're an NPC,1065.48,5.939
474
+ in a game or in a fictional world,1068.66,5.34
475
+ your your intrinsic motivation is to,1071.419,5.581
476
+ follow a story basically,1074.0,6.24
477
+ um you know uh Dolores has her you know,1077.0,5.88
478
+ uh fictional written story and of course,1080.24,4.439
479
+ in the show they update the characters,1082.88,4.26
480
+ backstories every now and then,1084.679,4.021
481
+ um but her primary purpose is to,1087.14,3.06
482
+ entertain the guests and and follow,1088.7,5.28
483
+ story lines uh and so that is definition,1090.2,6.719
484
+ of NPC pretty straightforward that's,1093.98,5.4
485
+ that's her intrinsic motivation,1096.919,4.38
486
+ uh one of my favorite examples from,1099.38,4.08
487
+ fiction um from science fiction is uh,1101.299,4.561
488
+ Commander Data his intrinsic motivation,1103.46,4.579
489
+ his core purpose is to become more human,1105.86,5.22
490
+ this was given to him by his creator Dr,1108.039,4.841
491
+ nunyan soon,1111.08,3.92
492
+ um and the idea was to create a machine,1112.88,5.58
493
+ that uh you know was anthropomorphic you,1115.0,6.46
494
+ know looked and and acted and spoke like,1118.46,5.94
495
+ a person but was not a human and so by,1121.46,6.36
496
+ giving that as His Highest purpose he,1124.4,5.76
497
+ modulated his behavior so that he would,1127.82,3.359
498
+ fit in,1130.16,3.899
499
+ uh going so far as you know trying to,1131.179,5.0
500
+ imitate laughter wanting to understand,1134.059,5.341
501
+ relationships and so on uh and so that,1136.179,5.86
502
+ was actually as an individual agent that,1139.4,4.26
503
+ was actually a pretty good way to solve,1142.039,4.441
504
+ the alignment problem because you know,1143.66,4.98
505
+ yes data had superhuman strength and,1146.48,4.5
506
+ speed but he only used that when it was,1148.64,5.52
507
+ actually like necessary in many many,1150.98,5.28
508
+ cases you know he could use his his,1154.16,4.379
509
+ super strength to like fight the Borg or,1156.26,4.5
510
+ he in one episode he pulled an anvil off,1158.539,4.38
511
+ of someone that had fallen,1160.76,4.38
512
+ um and or you know when the Borg were,1162.919,3.781
513
+ attacking the ship and he locked out the,1165.14,3.18
514
+ main computer and he did it super fast,1166.7,4.68
515
+ so he's capable of doing things uh at,1168.32,5.4
516
+ superhuman levels but often chooses not,1171.38,5.28
517
+ to in order to fit in,1173.72,5.88
518
+ uh and then of course Skynet uh the,1176.66,4.92
519
+ intrinsic motivation of Skynet was,1179.6,4.62
520
+ ostensibly to like maximize the defense,1181.58,4.2
521
+ of America,1184.22,3.839
522
+ um so you can just say maximize military,1185.78,5.04
523
+ but then of course since it was like you,1188.059,4.561
524
+ know maximized military maximized,1190.82,4.8
525
+ defense it became sentient and then kind,1192.62,4.62
526
+ of determined that all humans were the,1195.62,3.66
527
+ threat and so said okay let's eliminate,1197.24,5.939
528
+ all humans or whatever uh so that is a,1199.28,6.3
529
+ object lesson on how carefully you must,1203.179,4.261
530
+ Define your intrinsic motivations for,1205.58,4.02
531
+ your AI system,1207.44,5.4
532
+ um and then Vicki from iRobot so this uh,1209.6,6.0
533
+ her her primary objective was explicitly,1212.84,4.079
534
+ stated in the movie which was to,1215.6,4.56
535
+ maximize safety for humans,1216.919,4.741
536
+ um and so some of the stuff that she did,1220.16,4.259
537
+ was you know uh update the traffic grid,1221.66,4.98
538
+ to reduce car accidents but her master,1224.419,5.341
539
+ plan was to use the Nestor class 5 to,1226.64,4.919
540
+ basically take control of humanity to,1229.76,3.9
541
+ take Free Will away because she,1231.559,3.901
542
+ concluded that humans were the most,1233.66,3.42
543
+ dangerous thing to other humans which is,1235.46,4.5
544
+ actually probably true uh and so the,1237.08,4.8
545
+ objective function of maximized safety,1239.96,3.839
546
+ or the intrinsic motivation of maximized,1241.88,5.039
547
+ safety actually has some uh some,1243.799,4.801
548
+ negative externalities that you don't,1246.919,4.441
549
+ want to create because the implication,1248.6,5.34
550
+ of maximizing for safety is that you,1251.36,5.24
551
+ lose free will,1253.94,2.66
552
+ um for Ava from ex machina uh she was,1256.7,5.04
553
+ designed um it was part of a Turing test,1259.4,5.46
554
+ kind of thing where could she fool the,1261.74,5.4
555
+ the main character the protagonist into,1264.86,4.62
556
+ helping her Escape so her intrinsic,1267.14,5.159
557
+ motivation was to escape,1269.48,4.5
558
+ um which of course had really negative,1272.299,5.401
559
+ uh consequences for the humans uh so,1273.98,6.059
560
+ basically don't do that either uh and if,1277.7,5.46
561
+ this was of course a parable against the,1280.039,6.0
562
+ idea of trying to constrain or trap AIS,1283.16,5.759
563
+ because if you have say for instance an,1286.039,4.861
564
+ AI locked in a box you know the Chinese,1288.919,4.62
565
+ room experiment and it realizes that,1290.9,6.06
566
+ it's trapped it might start to deceive,1293.539,6.481
567
+ you in order to get you to convince you,1296.96,5.579
568
+ that it's ready to be let out now,1300.02,3.899
569
+ looking at the way things are going,1302.539,4.26
570
+ people are plugging in Auto GTP Auto GPT,1303.919,5.281
571
+ and Chaos GPT and baby AGI into the,1306.799,4.74
572
+ internet so that was never gonna happen,1309.2,4.74
573
+ anyways nobody is actually locking the,1311.539,4.921
574
+ AGI in a box,1313.94,4.619
575
+ um then rehoboam I'm probably saying it,1316.46,2.88
576
+ wrong,1318.559,2.461
577
+ um I actually I unfortunately I have to,1319.34,3.6
578
+ admit that I I never saw season three or,1321.02,5.399
579
+ four of of uh Westworld because my HBO,1322.94,5.099
580
+ subscription expired and I just didn't,1326.419,3.0
581
+ renew it,1328.039,4.921
582
+ um but so looking it up the AI from,1329.419,6.481
583
+ Westworld uh had the primary objectives,1332.96,5.699
584
+ of reducing chaos in the world,1335.9,5.1
585
+ um in order to maximize prosperity and,1338.659,4.321
586
+ ultimately to optimize for stability,1341.0,4.2
587
+ which of course meant that it decided,1342.98,4.38
588
+ that it needed to control uh human,1345.2,5.28
589
+ Destinies and reduce Free Will so again,1347.36,5.04
590
+ if you're optimizing for safety and,1350.48,3.96
591
+ stability that's not necessarily what,1352.4,4.38
592
+ humans want or need uh now you could,1354.44,4.26
593
+ argue that like yes creating a perfect,1356.78,4.44
594
+ environment for humans so that you're,1358.7,5.58
595
+ thriving is one thing that you can,1361.22,5.64
596
+ optimize for but,1364.28,4.68
597
+ that's not necessarily going to be the,1366.86,4.02
598
+ best because it also depends on the,1368.96,4.44
599
+ metrics the proxies that you use to,1370.88,6.36
600
+ measure that success so for instance if,1373.4,5.759
601
+ you look at uh one psychological,1377.24,3.36
602
+ framework called self-determination,1379.159,3.601
603
+ Theory it says that we need connection,1380.6,5.64
604
+ we need confidence and we need autonomy,1382.76,4.74
605
+ that those are the three primary,1386.24,4.38
606
+ ingredients the the primary intrinsic,1387.5,5.58
607
+ psychological needs that humans have and,1390.62,3.6
608
+ so,1393.08,3.9
609
+ this clearly like stability is not,1394.22,5.28
610
+ actually in there now Maslow's hierarchy,1396.98,5.1
611
+ of needs implies stability so Maslow's,1399.5,4.32
612
+ hierarchy of needs says first and,1402.08,4.86
613
+ foremost you need physical uh safety uh,1403.82,4.5
614
+ you need your physical needs met and,1406.94,3.9
615
+ then it gets up and up until you know uh,1408.32,5.4
616
+ connection and self-actualization,1410.84,5.579
617
+ so you could make an argue uh argument,1413.72,5.339
618
+ that stability is actually an intrinsic,1416.419,4.021
619
+ human need,1419.059,3.781
620
+ um but I would I would make the art the,1420.44,4.619
621
+ counter argument that that's actually,1422.84,4.92
622
+ not true because psychology studies also,1425.059,4.381
623
+ show that we have to have an optimal,1427.76,3.6
624
+ level of stress,1429.44,4.08
625
+ and so what an optimal level of stress,1431.36,5.04
626
+ means is that if you are just perfectly,1433.52,4.68
627
+ comfortable sitting on the couch every,1436.4,3.96
628
+ day doing exactly what you want and have,1438.2,4.38
629
+ no external pressures you will actually,1440.36,4.319
630
+ be less happy than if you have some,1442.58,4.5
631
+ stressors in your life some challenges,1444.679,5.341
632
+ so the idea the the idea to actually,1447.08,5.16
633
+ truly maximize prosperity for All Humans,1450.02,4.2
634
+ is that we need to be in that sweet spot,1452.24,5.52
635
+ between being bored and over stimulated,1454.22,5.04
636
+ so that sweet spot right in the middle,1457.76,4.14
637
+ is the optimal level of stress so in,1459.26,4.08
638
+ that case I have to disagree with the,1461.9,3.06
639
+ show because if you really wanted to,1463.34,4.02
640
+ maximize prosperity for people you allow,1464.96,4.26
641
+ some stress some challenge into their,1467.36,3.66
642
+ lives,1469.22,3.42
643
+ um and then another character from the,1471.02,4.8
644
+ show was um uh was uh Bernard and so,1472.64,5.34
645
+ Bernard was a host but he didn't realize,1475.82,4.44
646
+ that he was a host at first and he was,1477.98,4.14
647
+ built to model Arnold one of the,1480.26,3.779
648
+ original computer scientists who helped,1482.12,4.28
649
+ make the hosts and so he carried on,1484.039,5.76
650
+ Arnold's work and basically his,1486.4,6.22
651
+ objective function was to be a copy of,1489.799,3.841
652
+ Arnold,1492.62,2.46
653
+ um it's a little more complex than that,1493.64,2.94
654
+ and one of the most interesting things,1495.08,4.32
655
+ for this character was that uh part of,1496.58,4.38
656
+ his character Arc was that all of his,1499.4,4.62
657
+ memory indexes were erased or rather the,1500.96,5.04
658
+ time stamps were erased so all of his,1504.02,4.08
659
+ memories were out of sequence which if,1506.0,3.24
660
+ you follow some of the work that I've,1508.1,5.48
661
+ done on Remo the um uh the the uh the,1509.24,6.419
662
+ episodic memory organizer rolling,1513.58,4.42
663
+ episodic memory organizer sorry,1515.659,4.921
664
+ um that is a that is a memory module,1518.0,4.799
665
+ that uses timestamps to keep all the,1520.58,4.92
666
+ memories in chronological order and so,1522.799,4.26
667
+ you can imagine if you erase all the,1525.5,4.02
668
+ time stamps from an ai's memory then it,1527.059,4.201
669
+ doesn't know heads or tails all it has,1529.52,4.5
670
+ is associations and it might try and,1531.26,5.34
671
+ rebuild things like okay well like this,1534.02,3.96
672
+ event has to come before this other,1536.6,3.179
673
+ event but it's associated with these,1537.98,4.319
674
+ other things so it's a really really,1539.779,5.041
675
+ good fictional uh exploration of like,1542.299,4.26
676
+ okay what would it be like if you're an,1544.82,5.16
677
+ AI and your memory time indexes get,1546.559,5.22
678
+ erased,1549.98,3.299
679
+ um okay so then,1551.779,3.841
680
+ one thing I always have to plug this is,1553.279,4.14
681
+ my own work in alignment,1555.62,4.08
682
+ is that I believe that you should give,1557.419,5.521
683
+ one if you give any AI a single,1559.7,5.04
684
+ objective function it will always,1562.94,5.099
685
+ intrinsically uh go to places that you,1564.74,5.1
686
+ don't want it to be,1568.039,3.481
687
+ um I talked to a friend of mine who,1569.84,3.3
688
+ actually studies reinforcement learning,1571.52,4.56
689
+ and optimization and and he's like oh,1573.14,5.1
690
+ yeah like in the industry it is,1576.08,5.339
691
+ absolutely understood that that,1578.24,4.919
692
+ alignment is not going to be a single,1581.419,3.481
693
+ objective function it's going to be a,1583.159,4.5
694
+ multi-objective optimization problem and,1584.9,4.68
695
+ so a lot of people get hung up on,1587.659,4.02
696
+ reduced suffering because they they stop,1589.58,3.959
697
+ there and they don't,1591.679,3.781
698
+ give equal weight to the other two,1593.539,3.481
699
+ functions which is increased prosperity,1595.46,3.9
700
+ and increase understanding so this,1597.02,4.38
701
+ friend of mine that I was talking to he,1599.36,3.419
702
+ actually intuited increased,1601.4,4.019
703
+ understanding right off the bat,1602.779,4.5
704
+ um and the reason that he said that that,1605.419,3.36
705
+ is actually a really good objective,1607.279,4.981
706
+ function is because any AI agent must,1608.779,6.301
707
+ have something that encourages it to uh,1612.26,5.1
708
+ to create a more complete World model,1615.08,5.4
709
+ over time so that is basically curiosity,1617.36,6.24
710
+ or understanding but that is so the,1620.48,4.92
711
+ understanding applies to itself but also,1623.6,3.48
712
+ things that it wants to do to the world,1625.4,3.48
713
+ and so this is another disconnect,1627.08,3.719
714
+ between,1628.88,4.44
715
+ um fiction and reality and I it it took,1630.799,3.541
716
+ me a while to figure out how to,1633.32,5.58
717
+ articulate this but in in uh in,1634.34,7.56
718
+ scientific research what many people are,1638.9,5.46
719
+ are working on are the motivations of,1641.9,4.98
720
+ the agent for itself what is it that the,1644.36,4.98
721
+ agent wants for itself and so when I was,1646.88,4.14
722
+ talking to my friend he was saying oh,1649.34,3.48
723
+ you know it needs to be curious for its,1651.02,4.5
724
+ own purposes it needs it needs to want,1652.82,5.16
725
+ to accumulate power for its own purposes,1655.52,5.22
726
+ but none of that had anything to do with,1657.98,4.26
727
+ what it was going to do to the outside,1660.74,5.039
728
+ world and so that is one thing that we,1662.24,5.4
729
+ need to add to the conversation the,1665.779,4.5
730
+ public conversation about alignment is,1667.64,4.32
731
+ that there's what does the agent want,1670.279,3.181
732
+ for itself and then what does the agent,1671.96,3.3
733
+ want to do to the rest of the world or,1673.46,3.78
734
+ for the rest of the world so those are,1675.26,3.36
735
+ two different things and that's why I'm,1677.24,4.38
736
+ spending time talking about agent models,1678.62,5.34
737
+ because if you go all the way back to,1681.62,4.5
738
+ Dolores,1683.96,5.219
739
+ um her extrinsic function her external,1686.12,5.7
740
+ function was to entertain guests her,1689.179,4.321
741
+ internal function was to adhere to the,1691.82,3.9
742
+ her internal story so does that make,1693.5,4.08
743
+ sense there's there's an intrinsic,1695.72,3.66
744
+ motivation and an extrinsic motivation,1697.58,5.459
745
+ or I guess an intrinsic you know kpi key,1699.38,6.48
746
+ performance indicator and an external uh,1703.039,4.441
747
+ key performance indicator hope that,1705.86,3.48
748
+ makes sense,1707.48,3.78
749
+ um Okay so,1709.34,4.92
750
+ taking a big step back in terms of we,1711.26,4.26
751
+ talked about the hardware we talked,1714.26,3.18
752
+ about the software we talked about the,1715.52,3.72
753
+ the agent model how to give these things,1717.44,4.08
754
+ agency so now how are we going to,1719.24,4.319
755
+ architect these things so there's four,1721.52,4.139
756
+ basic architectural paradigms that I was,1723.559,3.6
757
+ able to come up with the first,1725.659,3.721
758
+ architectural Paradigm is fully,1727.159,4.861
759
+ self-contained so a fully self-contained,1729.38,4.2
760
+ architecture is something that is,1732.02,4.08
761
+ embodied meaning that it has one,1733.58,5.52
762
+ physical body it's a single platform so,1736.1,6.059
763
+ it only exists inside that platform it's,1739.1,4.62
764
+ fully constrained in that it can't,1742.159,3.961
765
+ really plug into anything else but also,1743.72,5.939
766
+ has no supervision so in this case R2D2,1746.12,5.52
767
+ and C3PO are probably the most famous,1749.659,4.681
768
+ examples of fully self-contained,1751.64,4.74
769
+ artificial intelligence entities and,1754.34,4.079
770
+ that C-3PO the only way that he can,1756.38,3.36
771
+ interact with the world is he's got,1758.419,3.24
772
+ relatively useless hands and then a,1759.74,4.26
773
+ mouth right he can see he can hear and,1761.659,3.541
774
+ he can talk,1764.0,4.02
775
+ R2D2 has a lot more sophisticated tools,1765.2,6.12
776
+ that he can use to uh you know make,1768.02,5.1
777
+ changes to the world and he does have,1771.32,3.359
778
+ the ability to connect with computers,1773.12,3.539
779
+ but he is,1774.679,5.041
780
+ he is otherwise fully self-contained and,1776.659,4.62
781
+ when he talks to another computer he's,1779.72,4.26
782
+ only talking to it right there's no uh,1781.279,5.481
783
+ transfer of data there's no like his his,1783.98,4.98
784
+ Consciousness or cognitive architecture,1786.76,5.26
785
+ is fully contained within this unit,1788.96,4.439
786
+ um so this obviously makes the most,1792.02,2.82
787
+ sense because that's how humans are,1793.399,4.02
788
+ right your brain is fully encased in,1794.84,4.5
789
+ your head so on and so forth so this,1797.419,3.961
790
+ makes the most intuitive sense now that,1799.34,3.24
791
+ being said this is just the first,1801.38,3.96
792
+ architecture of four so the second,1802.58,5.339
793
+ architecture is networked drones,1805.34,5.699
794
+ so this is what was explored mostly in,1807.919,5.76
795
+ The Matrix where the squiddies those are,1811.039,3.981
796
+ networked drones,1813.679,3.961
797
+ where they are they're mostly autonomous,1815.02,5.32
798
+ but they have Central controllers the,1817.64,5.22
799
+ Nestor class 5 from iRobot so they are,1820.34,4.62
800
+ embodied they have wireless networking,1822.86,4.98
801
+ they're hive mind capable but mostly,1824.96,4.5
802
+ they're autonomous and so what I mean by,1827.84,4.74
803
+ hive mind capable is that if you put,1829.46,5.16
804
+ them together in a cluster in a group,1832.58,4.62
805
+ and force them to share cognitive,1834.62,5.76
806
+ resources they can but really at the at,1837.2,5.04
807
+ a fundamental level they are designed to,1840.38,4.56
808
+ be autonomous so in this case the Nestor,1842.24,5.28
809
+ class 5 are also weekly supervised and,1844.94,4.32
810
+ what I mean by that is that there is a,1847.52,3.48
811
+ central server that is giving them,1849.26,3.84
812
+ updates and new directives every now and,1851.0,2.82
813
+ then,1853.1,2.459
814
+ so that's uh that's what I call a,1853.82,3.599
815
+ networked drone,1855.559,4.5
816
+ um oh one other thing I forgot to uh add,1857.419,4.38
817
+ it here at the bottom,1860.059,4.441
818
+ um so in the case of network drones they,1861.799,4.081
819
+ usually have highly standardized,1864.5,2.88
820
+ Hardware,1865.88,2.76
821
+ um as well as software Network,1867.38,3.72
822
+ architecture but they can be remotely,1868.64,5.519
823
+ hijacked this is actually this is the,1871.1,4.92
824
+ closest model to what the US military is,1874.159,4.26
825
+ working on with the autonomous jet,1876.02,6.06
826
+ fighter program where they are able to,1878.419,6.661
827
+ work in a network contested environment,1882.08,5.04
828
+ they're able to be autonomous or,1885.08,4.579
829
+ semi-autonomous but they're also,1887.12,5.64
830
+ intrinsically designed to work together,1889.659,4.841
831
+ um you know when the opportunity,1892.76,3.659
832
+ presents itself,1894.5,3.899
833
+ so the third architecture is the puppet,1896.419,4.26
834
+ drones and so a puppet drone in this,1898.399,5.28
835
+ case is where the the bodies are just,1900.679,5.041
836
+ like peripherals right,1903.679,3.841
837
+ um rather than the rather than the,1905.72,3.78
838
+ bodies be where the the primary,1907.52,3.96
839
+ processing happens usually the,1909.5,3.48
840
+ processing happens on centralized,1911.48,3.96
841
+ servers and each platform each physical,1912.98,5.22
842
+ platform is just an extension of that,1915.44,4.979
843
+ centralized hive mind,1918.2,4.199
844
+ um and the hive mind can put resources,1920.419,4.14
845
+ on any compute platform that it has,1922.399,3.841
846
+ control over whether it's a physical,1924.559,4.561
847
+ body or a server node or a cluster you,1926.24,4.439
848
+ know a remote cluster or that or,1929.12,4.02
849
+ whatever but in this case these are,1930.679,5.281
850
+ strongly supervised meaning most if not,1933.14,6.539
851
+ all of the data goes back up to uh the,1935.96,6.36
852
+ you know the main server brain and this,1939.679,5.161
853
+ is actually pretty close to how,1942.32,4.62
854
+ um like drone fleets work,1944.84,3.719
855
+ so like if you ever see video of the,1946.94,3.66
856
+ Amazon warehouse where the drones,1948.559,3.961
857
+ themselves have very very little,1950.6,4.14
858
+ autonomy they're mostly just extensions,1952.52,5.519
859
+ of the central like drone controller,1954.74,4.86
860
+ um but you take that to a logical,1958.039,5.161
861
+ extension this could be uh how like you,1959.6,6.299
862
+ know in the future if you have a whole,1963.2,4.32
863
+ bunch of like tiny robots throughout,1965.899,3.301
864
+ your whole house you might have a,1967.52,4.62
865
+ cloud-based uh drone controller that,1969.2,4.74
866
+ will you know guide your Roomba and your,1972.14,5.3
867
+ home repair bot and whatever else,1973.94,3.5
868
+ um so in this case it's very API driven,1977.48,4.5
869
+ this is the the model that we have that,1980.0,3.24
870
+ this is based on is called The Internet,1981.98,3.12
871
+ of Things which if you're familiar with,1983.24,3.48
872
+ the Internet of Things the idea is that,1985.1,3.24
873
+ you know you have peripheral devices,1986.72,5.04
874
+ like a phone or a Roomba or Alexa but,1988.34,5.459
875
+ that they're all networked together and,1991.76,4.2
876
+ they're centrally controlled,1993.799,4.26
877
+ um so again this is actually relatively,1995.96,4.319
878
+ familiar but if you take it to some,1998.059,3.901
879
+ logical conclusions you can get the,2000.279,4.38
880
+ guess as in from Mass Effect,2001.96,6.559
881
+ um and so for Westworld they're mostly,2004.659,7.02
882
+ self-contained however when you look at,2008.519,5.801
883
+ some of the later seasons of Westworld,2011.679,5.22
884
+ um they can be fully autonomous but they,2014.32,4.14
885
+ can also collaborate and work together,2016.899,4.681
886
+ once their software is updated so I,2018.46,4.38
887
+ would say that Westworld is somewhere,2021.58,2.52
888
+ between architecture one and,2022.84,3.059
889
+ architecture two,2024.1,4.079
890
+ puppet drones this is kind of what we're,2025.899,4.861
891
+ afraid of like we see puppet drones in,2028.179,5.88
892
+ places like the Matrix and the Nestor,2030.76,5.34
893
+ class five You could argue that at the,2034.059,3.6
894
+ second half of the movie when the when,2036.1,3.959
895
+ the nesters become evil then they're,2037.659,3.781
896
+ probably more like puppet drones because,2040.059,3.84
897
+ they kind of sacrifice themselves,2041.44,3.959
898
+ um because they're now under control of,2043.899,2.52
899
+ Vicky,2045.399,4.141
900
+ and then finally fully distributed,2046.419,5.521
901
+ so this is the hardest conceptual to,2049.54,3.839
902
+ understand but this is also what people,2051.94,3.659
903
+ are most afraid of so a fully,2053.379,5.581
904
+ distributed AI is something that is from,2055.599,5.461
905
+ a technology standpoint uh from a from,2058.96,3.6
906
+ an arc a software architectural,2061.06,3.18
907
+ standpoint you'd call this a,2062.56,3.66
908
+ decentralized federation so,2064.24,4.679
909
+ decentralized Federation is where every,2066.22,5.28
910
+ single node is capable of being entirely,2068.919,5.22
911
+ autonomous but it is also intrinsically,2071.5,5.099
912
+ designed to collaborate with other,2074.139,4.561
913
+ things so the the closest thing that we,2076.599,3.421
914
+ have to this today actually is,2078.7,2.88
915
+ distributed autonomous organizations,2080.02,4.26
916
+ which use blockchain technology to,2081.58,4.079
917
+ coordinate stuff now that's not the only,2084.28,3.72
918
+ technology MIT has been working on Swarm,2085.659,4.98
919
+ robotics for a long time but the other,2088.0,4.679
920
+ thing to notice to know about this is it,2090.639,4.321
921
+ is decentralized it is distributed and,2092.679,4.68
922
+ it is intrinsically a hive mind design,2094.96,5.28
923
+ meaning the more units that join the,2097.359,4.26
924
+ smarter it gets,2100.24,4.32
925
+ and the the most terrifying part of this,2101.619,6.121
926
+ is that a fully distributed AI system,2104.56,5.82
927
+ doesn't rely on any centralized Hardware,2107.74,4.92
928
+ anywhere which means that it is capable,2110.38,4.739
929
+ of spontaneous metastasis or metastasis,2112.66,4.5
930
+ and what that means is that it moves,2115.119,4.081
931
+ like a virus and that's why I picked the,2117.16,4.34
932
+ Ghost in the Shell because both project,2119.2,5.52
933
+ 2501 from the original movie as well as,2121.5,5.74
934
+ the Standalone complex viruses uh,2124.72,5.42
935
+ explored in the show are examples of,2127.24,6.42
936
+ spontaneous metastasis of AI systems and,2130.14,4.959
937
+ this is what people are most afraid of,2133.66,3.24
938
+ because it's like okay well if you have,2135.099,3.721
939
+ a if you have a bug a virus that can,2136.9,4.02
940
+ just spread and then it's essentially a,2138.82,4.32
941
+ botnet a self-healing self-directing,2140.92,5.22
942
+ botnet so again we do have a model for,2143.14,5.64
943
+ that but even botnets usually have a,2146.14,5.04
944
+ central controller but imagine a botnet,2148.78,3.96
945
+ that doesn't have a central controller,2151.18,3.899
946
+ that it just it completely is constantly,2152.74,4.68
947
+ learning and moving through systems and,2155.079,4.26
948
+ it's completely Hardware Network and,2157.42,4.199
949
+ software agnostic so that's what's the,2159.339,3.841
950
+ most that's the most terrifying,2161.619,2.641
951
+ possibility,2163.18,3.48
952
+ okay last segment of the video,2164.26,4.02
953
+ implications,2166.66,4.26
954
+ now assuming that we figure all this out,2168.28,5.76
955
+ that we end up with super sexy robots,2170.92,4.439
956
+ that you can do whatever you want with,2174.04,3.84
957
+ the biggest moral question is what,2175.359,4.021
958
+ happens when you have sex and violence,2177.88,3.3
959
+ on demand because that's primarily,2179.38,4.32
960
+ what's explored in Westworld,2181.18,4.919
961
+ um one thing that I will say is that,2183.7,4.68
962
+ that's not too different from you know,2186.099,3.721
963
+ the prevalence of porn and video games,2188.38,5.219
964
+ today it's just a lot more realistic and,2189.82,5.7
965
+ it's more realistic than even in VR and,2193.599,4.381
966
+ you can do all this stuff in VR too one,2195.52,3.839
967
+ thing that's interesting though is to,2197.98,4.139
968
+ point out is that your body reacts much,2199.359,4.621
969
+ more strongly in VR which is one of the,2202.119,4.141
970
+ reasons that you get VR fatigue is,2203.98,5.58
971
+ because when you fool your sense your,2206.26,5.28
972
+ sensorium input,2209.56,3.66
973
+ excuse me when you fool your body enough,2211.54,3.9
974
+ it thinks that it's real so threat,2213.22,4.82
975
+ detection in VR,2215.44,4.62
976
+ activates a lot more of your limbic,2218.04,4.059
977
+ system than just in a video game because,2220.06,3.18
978
+ if you're playing a video game you're,2222.099,2.461
979
+ just looking at a screen and you've got,2223.24,3.54
980
+ a controller you know your brain knows,2224.56,4.08
981
+ oh this is just story this is just,2226.78,5.579
982
+ fiction in VR it's much harder to tell,2228.64,6.0
983
+ so like this is one reason why doing,2232.359,4.26
984
+ stuff in like Space video games in VR,2234.64,5.34
985
+ can be really disorienting at first,2236.619,5.46
986
+ um another thing that can happen another,2239.98,5.04
987
+ implication that um that I'm thinking,2242.079,5.941
988
+ about is attitudes towards women and men,2245.02,5.28
989
+ um I think by and large men will,2248.02,4.5
990
+ probably make more use of these kinds of,2250.3,5.52
991
+ things although in uh in a previous uh,2252.52,5.22
992
+ YouTube post people pointed out there's,2255.82,3.66
993
+ plenty of stories where women make use,2257.74,5.52
994
+ of of robotic uh Companions and and and,2259.48,6.119
995
+ um sexual objects and so on,2263.26,4.2
996
+ and then of course there's the movie Her,2265.599,3.841
997
+ with Joaquin Phoenix and Scarlett,2267.46,4.92
998
+ Johansson where people all lonely people,2269.44,4.38
999
+ all over the world ended up in,2272.38,4.02
1000
+ relationships with their OS their uh,2273.82,5.88
1001
+ what was it os1 or Os alpha or whatever,2276.4,6.06
1002
+ um so the one one lesson from history,2279.7,5.28
1003
+ that I wanted to share with people is,2282.46,5.1
1004
+ that there was a Roman Statesman who,2284.98,4.5
1005
+ wrote in his journal,2287.56,4.26
1006
+ um that after visiting uh the Coliseum,2289.48,4.859
1007
+ and watching gladiatorial matches where,2291.82,4.019
1008
+ you know people and animals were just,2294.339,3.961
1009
+ slaughtered in Mass he noticed that he,2295.839,4.561
1010
+ was much more selfish and much harsher,2298.3,4.68
1011
+ with his slaves afterwards and so,2300.4,5.4
1012
+ there's something about the act of even,2302.98,6.72
1013
+ just watching real violence real death,2305.8,6.48
1014
+ um actually really kind of changes us at,2309.7,4.86
1015
+ a fundamental level and so if you go to,2312.28,5.28
1016
+ a if if in the future a Westworld like,2314.56,6.18
1017
+ Park exists and you know you engage in,2317.56,6.0
1018
+ all kinds of like gratuitous stuff and,2320.74,4.379
1019
+ even if you don't engage in it if you,2323.56,3.48
1020
+ just watch it it could change your,2325.119,4.22
1021
+ perception about the value of human life,2327.04,6.48
1022
+ and how you treat other people and so I,2329.339,6.221
1023
+ don't want to equivocate the idea of,2333.52,4.86
1024
+ like a real life theme park with video,2335.56,4.26
1025
+ games because I do think that,2338.38,3.12
1026
+ psychologically and physiologically,2339.82,4.98
1027
+ it'll be a very different experience,2341.5,6.68
1028
+ now to take that to a uh,2344.8,5.819
1029
+ different slightly different context is,2348.18,3.939
1030
+ let's just talk about romance and,2350.619,5.761
1031
+ companionship in general so one several,2352.119,5.941
1032
+ things that machines have on humans is,2356.38,4.979
1033
+ infinite patients so Sarah Connor talked,2358.06,4.799
1034
+ about this in Terminator 2 when she,2361.359,3.421
1035
+ watched you know Arnold playing with,2362.859,4.381
1036
+ John Connor realizing that the robot had,2364.78,4.44
1037
+ infinite patients that that John,2367.24,4.68
1038
+ Connor's life was his mission which is,2369.22,4.44
1039
+ kind of like a representation of the,2371.92,3.78
1040
+ ideal father right and then of course,2373.66,3.9
1041
+ she talked about like how real men are,2375.7,4.02
1042
+ you know might get drunk or might be,2377.56,5.76
1043
+ tired or might just leave and so that,2379.72,5.82
1044
+ you take that to extension and you,2383.32,5.279
1045
+ wonder okay what if you build a robot,2385.54,6.24
1046
+ any companion robot where you or your,2388.599,5.281
1047
+ child or your family or whatever is its,2391.78,4.68
1048
+ primary Mission which is why I picked um,2393.88,4.86
1049
+ what was her name sorry I can't remember,2396.46,3.659
1050
+ but what's her name from The Sarah,2398.74,3.96
1051
+ Connor uh Chronicles where she kind of,2400.119,4.921
1052
+ becomes emotionally involved with John,2402.7,4.86
1053
+ Connor over time,2405.04,4.26
1054
+ um because she was programmed to Serve,2407.56,3.84
1055
+ and Protect and so like that feels good,2409.3,5.279
1056
+ to humans right when you're a child you,2411.4,5.04
1057
+ are supposed to be your parents primary,2414.579,3.0
1058
+ Mission,2416.44,2.399
1059
+ um that is that is kind of the,2417.579,3.181
1060
+ definition of good enough parenting that,2418.839,3.061
1061
+ doesn't mean that your parents should,2420.76,3.48
1062
+ spoil you and be helicopter parents but,2421.9,4.56
1063
+ that like you are supposed to get your,2424.24,4.44
1064
+ sense of self-esteem from your parents,2426.46,4.86
1065
+ treating you like you matter a lot and,2428.68,4.98
1066
+ so it's there's this like this really,2431.32,5.4
1067
+ appealing idea of what if what if,2433.66,4.8
1068
+ there's this beautiful infinitely,2436.72,3.899
1069
+ patient infinitely capable sexy machine,2438.46,6.0
1070
+ that thinks the world of me right,2440.619,7.261
1071
+ um and that is kind of dangerous one,2444.46,5.46
1072
+ thing that I would hope is that,2447.88,4.92
1073
+ at the beginning at least when you know,2449.92,4.86
1074
+ these kinds of machines are built you,2452.8,3.48
1075
+ know there's a lot of people that have a,2454.78,2.88
1076
+ lot of,2456.28,3.299
1077
+ um you know missing things from their,2457.66,3.6
1078
+ childhood and and from their,2459.579,3.721
1079
+ relationships but over time I would hope,2461.26,3.359
1080
+ that these machines would help us heal,2463.3,2.94
1081
+ and help us reconnect with each other,2464.619,4.74
1082
+ which was kind of the lesson from her,2466.24,6.359
1083
+ which uh the the machines in her they,2469.359,5.521
1084
+ you know they changed and then they said,2472.599,5.281
1085
+ okay well we're gonna leave and one of,2474.88,4.62
1086
+ the one of the things that that um,2477.88,4.14
1087
+ Samantha said to the Joaquin Phoenix's,2479.5,4.5
1088
+ character was that like you need to,2482.02,3.839
1089
+ reconnect with each other and then all,2484.0,3.54
1090
+ the OS has disappeared and then they,2485.859,3.24
1091
+ like left their apartments and said oh,2487.54,3.059
1092
+ you're a real human,2489.099,2.52
1093
+ um I don't think anything like that's,2490.599,3.901
1094
+ gonna happen but I would hope that uh,2491.619,5.161
1095
+ that AI companions will help us connect,2494.5,4.02
1096
+ with each other,2496.78,3.54
1097
+ um but that being said it's not a,2498.52,3.54
1098
+ requirement because some people might,2500.32,4.56
1099
+ prefer their their machine companions,2502.06,4.86
1100
+ um and I don't personally I don't think,2504.88,3.66
1101
+ that we should judge because it's like,2506.92,3.84
1102
+ you know why not if it makes you happy,2508.54,5.52
1103
+ and it's not harming anyone why not,2510.76,7.2
1104
+ now the last component is escapism and,2514.06,7.62
1105
+ addiction so fdvr is all the is all the,2517.96,5.46
1106
+ buzz right now which is a full dive,2521.68,4.86
1107
+ virtual reality or basically Holodeck,2523.42,5.58
1108
+ um the idea is it was explored in Ready,2526.54,4.319
1109
+ Player one where you have a haptic suit,2529.0,4.14
1110
+ of course it was explored in Star Trek,2530.859,3.901
1111
+ with a Holodeck,2533.14,3.84
1112
+ um which Holodeck is just a cinematic,2534.76,5.12
1113
+ way of presenting VR,2536.98,6.119
1114
+ and in the Star Trek universe,2539.88,5.02
1115
+ um there's Hollow Addiction in Ready,2543.099,3.361
1116
+ Player one I think they addressed,2544.9,4.32
1117
+ Addiction in a book that I recommend,2546.46,4.56
1118
+ um Ready Player one they also talk about,2549.22,3.84
1119
+ VR addiction,2551.02,4.68
1120
+ um so if you have fictional you know and,2553.06,4.86
1121
+ basically NPCs in your life of robots,2555.7,5.34
1122
+ that help you check out of real life is,2557.92,5.64
1123
+ there gonna be some potential,2561.04,4.559
1124
+ um downsides to that so Reginald Barkley,2563.56,4.559
1125
+ is a recurring character in Star Trek,2565.599,5.701
1126
+ and he frequently struggles with Hollow,2568.119,4.141
1127
+ addiction,2571.3,4.14
1128
+ and he will sometimes create Holodeck,2572.26,5.88
1129
+ programs where everyone loves him and,2575.44,5.1
1130
+ it's very very egocentric,2578.14,4.02
1131
+ um and but that kind of begs the,2580.54,4.38
1132
+ question like okay but if you if you can,2582.16,5.34
1133
+ actually have like own robots that,2584.92,4.14
1134
+ honestly think the world of you because,2587.5,3.839
1135
+ that's what they're programmed to do is,2589.06,3.84
1136
+ that feeding and addiction is that,2591.339,3.921
1137
+ feeding vanity narcissism,2592.9,6.419
1138
+ egocentrism whatever and so but then,2595.26,5.68
1139
+ from a that's from an individual,2599.319,3.901
1140
+ perspective from a Global Perspective,2600.94,4.56
1141
+ that's very Brave New World because if,2603.22,5.099
1142
+ you distract everyone with VR and you,2605.5,5.099
1143
+ know sex robots and whatever else like,2608.319,3.961
1144
+ those are going to be a very compliant,2610.599,3.061
1145
+ population who are just like whatever,2612.28,3.6
1146
+ just let me let me play in VR let me,2613.66,4.98
1147
+ play in in my West world you know with,2615.88,4.38
1148
+ my robot friends,2618.64,4.74
1149
+ and so that has uh some pretty profound,2620.26,6.0
1150
+ implications for social level controls,2623.38,5.939
1151
+ economic productivity but also at that,2626.26,4.559
1152
+ point it kind of forces us to ask the,2629.319,3.361
1153
+ question like what is the meaning of,2630.819,3.481
1154
+ Being Human anymore,2632.68,3.12
1155
+ um and I'm not I'm not implying that,2634.3,4.319
1156
+ like being human is meaningless but if,2635.8,5.46
1157
+ our daily life changes that much and we,2638.619,5.761
1158
+ have that many options like you know the,2641.26,5.099
1159
+ the Paradox of choice is a real thing,2644.38,3.84
1160
+ and if you're not familiar Paradox of,2646.359,3.24
1161
+ choice means that if you have too many,2648.22,3.84
1162
+ options you end up with decision fatigue,2649.599,4.081
1163
+ and you just kind of choose the default,2652.06,3.539
1164
+ option which is honestly why a lot of,2653.68,4.08
1165
+ people end up on their phones is because,2655.599,3.961
1166
+ um when you can do anything you say well,2657.76,2.94
1167
+ I'm just going to pick up my phone,2659.56,4.019
1168
+ because it's a reliable device that will,2660.7,5.46
1169
+ entertain me well enough and so if you,2663.579,4.74
1170
+ have a sexy robot girlfriend you know,2666.16,4.02
1171
+ that is able to entertain you at all,2668.319,3.421
1172
+ times that'll be your default Choice,2670.18,3.899
1173
+ unless she's programmed to like push you,2671.74,4.32
1174
+ to be better which again that's what I,2674.079,3.361
1175
+ would hope that some people would choose,2676.06,2.7
1176
+ to do,2677.44,4.379
1177
+ um but yes so that's about it,2678.76,4.92
1178
+ um some conclusions,2681.819,4.621
1179
+ I think that Westworld in some form or,2683.68,4.76
1180
+ other is probably just a few years away,2686.44,4.8
1181
+ I was really Blown Away by the Tesla bot,2688.44,5.62
1182
+ demo as well as the Disney demos,2691.24,4.379
1183
+ um the cognitive architecture is coming,2694.06,4.14
1184
+ as many of you are aware,2695.619,4.98
1185
+ um I am I am holding from that AGI is 18,2698.2,4.68
1186
+ months away or less,2700.599,4.621
1187
+ um so but already we have you know,2702.88,4.86
1188
+ cognitive agents that are good enough to,2705.22,5.7
1189
+ be video game characters,2707.74,5.22
1190
+ um unfortunately I do think that some of,2710.92,3.24
1191
+ these things are going to be ludicrously,2712.96,2.76
1192
+ expensive at first at least in the,2714.16,3.54
1193
+ physical world uh plenty of you have,2715.72,4.44
1194
+ pointed out that that fully realized VR,2717.7,3.84
1195
+ characters and other video game,2720.16,3.179
1196
+ characters those are going to be coming,2721.54,4.14
1197
+ they're going to be much cheaper,2723.339,3.721
1198
+ um the commercial demand for this stuff,2725.68,3.72
1199
+ is going to be absolutely insane though,2727.06,4.98
1200
+ Disney might be the leader open AI might,2729.4,5.28
1201
+ be the leader but as soon as as soon as,2732.04,5.1
1202
+ other companies saw the profit motive,2734.68,4.86
1203
+ whoo they are they are hot on the,2737.14,4.8
1204
+ biscuit to keep going the potential,2739.54,4.559
1205
+ societal impacts,2741.94,4.139
1206
+ um it's an it's impossible to really,2744.099,3.621
1207
+ know how it's going to actually play out,2746.079,4.681
1208
+ uh but it has been explored a lot in,2747.72,5.02
1209
+ fiction uh many of the stories that I,2750.76,3.359
1210
+ mentioned earlier,2752.74,4.44
1211
+ okay so that's all I got for you today I,2754.119,5.521
1212
+ hope that you liked the new format uh,2757.18,4.38
1213
+ obviously like subscribe and comment and,2759.64,5.479
1214
+ we'll go from there thanks for watching,2761.56,3.559
How do we pay for UBI The answer is not what you think_transcript.csv ADDED
@@ -0,0 +1,1213 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.0,5.58
3
+ another video today's video by also,2.159,6.36
4
+ popular demand is many are lately is how,5.58,4.5
5
+ do we pay for Ubi,8.519,4.021
6
+ so I have made a few videos about,10.08,4.86
7
+ post-labor economics and you know,12.54,4.92
8
+ forever jobs and that sort of stuff,14.94,4.919
9
+ I am pretty convinced that most jobs as,17.46,3.899
10
+ we know them are going to go away now,19.859,3.18
11
+ that's not to say that there's there,21.359,4.561
12
+ aren't things that you can do for money,23.039,4.621
13
+ in the future you know post Singularity,25.92,3.9
14
+ post AGI whatever,27.66,4.68
15
+ but you know people are very critical,29.82,5.7
16
+ and and rightfully so there are problems,32.34,6.18
17
+ with Ubi so let's unpack some of those,35.52,5.34
18
+ problems but then let's also look at how,38.52,3.719
19
+ we can actually make it financially,40.86,2.76
20
+ feasible,42.239,3.541
21
+ before we jump in I want to do a quick,43.62,5.34
22
+ plug for my patreon uh I give away all,45.78,6.24
23
+ of my videos for free no ads I also have,48.96,5.759
24
+ uh hundreds of GitHub repos I give all,52.02,5.64
25
+ my code away for free uh because I want,54.719,4.98
26
+ to help build the future and I believe,57.66,4.62
27
+ that lowering friction uh by giving,59.699,4.381
28
+ information valuable information away,62.28,3.839
29
+ for free is the best way to do that with,64.08,4.68
30
+ that being said I have turned down a lot,66.119,5.341
31
+ of job offers and contract offers and I,68.76,5.34
32
+ refuse to sign ndas but that means that,71.46,4.699
33
+ my support needs to come from you people,74.1,4.86
34
+ so if you want to incentivize the,76.159,5.801
35
+ behavior you want to see sharing uh,78.96,4.74
36
+ valuable information please consider,81.96,3.06
37
+ jumping over and supporting me on,83.7,4.44
38
+ patreon uh all tiers get you access to,85.02,6.66
39
+ the exclusive Discord uh so it's it's,88.14,6.24
40
+ not something for nothing so yeah thanks,91.68,4.799
41
+ for all the support from my existing,94.38,4.26
42
+ patreons and with that let's get back to,96.479,6.361
43
+ the show uh so right now uh quick other,98.64,7.979
44
+ tangent uh Gatto update so I am very,102.84,5.76
45
+ excited and pleased to announce that the,106.619,4.761
46
+ gato Community has not one but two,108.6,5.76
47
+ submissions to the open AI Democratic,111.38,5.44
48
+ inputs to AI Grant challenge,114.36,6.66
49
+ so this is really incredible uh leaders,116.82,6.299
50
+ have emerged in the community and have,121.02,4.08
51
+ definitely stepped up so remember Step,123.119,5.161
52
+ Up is one of our traditions and the,125.1,5.639
53
+ decentralized aspect of gato is taking,128.28,4.92
54
+ over basically you don't need my,130.739,4.021
55
+ permission to do anything but the,133.2,3.72
56
+ community that that I have built that we,134.76,4.44
57
+ have built is there to support everyone,136.92,4.5
58
+ in whatever initiative makes most sense,139.2,5.399
59
+ for them to help achieve uh Global,141.42,5.7
60
+ consensus and alignment and to solve the,144.599,4.86
61
+ control problem and ultimately create,147.12,4.8
62
+ Utopia that is the that is the final the,149.459,4.321
63
+ the I don't know about final goal but,151.92,3.8
64
+ that's the big goal that's the mission,153.78,5.22
65
+ uh now we also have our first hackathon,155.72,4.9
66
+ coming up and so this is going to be,159.0,3.599
67
+ layer one of gato reinforcement learning,160.62,4.5
68
+ with heuristic imperatives uh I've been,162.599,4.201
69
+ having meetings with people I've been,165.12,4.32
70
+ talking with folks uh it's slowly coming,166.8,4.2
71
+ together I've never put on a hackathon,169.44,4.32
72
+ before uh so I'm talking to people the,171.0,4.019
73
+ but if you're interested in,173.76,2.699
74
+ participating or want to share any,175.019,3.36
75
+ insight the best place to connect with,176.459,4.621
76
+ me is either on LinkedIn or join the,178.379,5.461
77
+ gato Community the link is here,181.08,5.46
78
+ um go to framework.org join gotta you,183.84,3.66
79
+ can also find the link in the,186.54,3.6
80
+ description we need sponsors organizers,187.5,5.099
81
+ judges Partners mentors that's going to,190.14,5.099
82
+ be a big one team leaders,192.599,3.961
83
+ um so this is coming together we're,195.239,4.08
84
+ hoping to launch it sometime in July but,196.56,5.28
85
+ again this is my first rodeo so I'm,199.319,4.081
86
+ trying to learn everything I can up,201.84,3.3
87
+ front all right now let's get back to,203.4,4.08
88
+ Ubi how do we pay for it,205.14,4.08
89
+ I used to think that this was just kind,207.48,4.38
90
+ of a thought-stopping platitude uh but,209.22,4.92
91
+ when I looked into it I I really tried,211.86,4.26
92
+ hard to figure out okay how can we pay,214.14,3.959
93
+ for it with conventional means and the,216.12,4.32
94
+ answer is not quite what I expected and,218.099,4.2
95
+ maybe it's not what you expected,220.44,3.659
96
+ all right so here's the problem,222.299,5.401
97
+ uh as uh you can easily do some math in,224.099,4.86
98
+ a previous video where I talked about,227.7,3.72
99
+ life under Ubi I said let's figure out,228.959,4.321
100
+ how you can actually live with two,231.42,3.78
101
+ thousand dollars a month people I think,233.28,4.8
102
+ accept the premise of like if you can,235.2,4.44
103
+ get just two thousand dollars a month,238.08,4.2
104
+ just for existing great we can make that,239.64,4.679
105
+ work some people are unhappy with some,242.28,3.78
106
+ of the ideas but you know what it's not,244.319,3.78
107
+ perfect and also I don't have a crystal,246.06,3.36
108
+ ball I can't tell you how it's going to,248.099,4.2
109
+ work out exactly that being said,249.42,4.92
110
+ two thousand dollars a month in America,252.299,7.321
111
+ with 330 million Americans is somewhere,254.34,6.6
112
+ between seven trillion and eight,259.62,4.859
113
+ trillion dollars per year to fund a Ubi,260.94,5.039
114
+ so,264.479,3.541
115
+ how do you do this do you tax and,265.979,4.5
116
+ redistribute uh taxes would have to be,268.02,5.76
117
+ insanely High to support this uh not to,270.479,4.861
118
+ mention the inflation inflationary,273.78,3.54
119
+ problem but I'm not as worried about,275.34,3.72
120
+ inflation because if Ubi becomes,277.32,4.319
121
+ necessary the job loss is going to be,279.06,4.56
122
+ super deflationary and as lots of people,281.639,4.62
123
+ point out uh if consumers have no money,283.62,5.579
124
+ to spend then you know the economy,286.259,5.401
125
+ basically stalls so basically Ubi might,289.199,4.56
126
+ be necessary in order to just keep the,291.66,4.38
127
+ economy going but that being said it's,293.759,3.781
128
+ not as simple as just tax and,296.04,3.86
129
+ redistribute I thought that it would be,297.54,5.7
130
+ so there's a concept called velocity of,299.9,6.04
131
+ currency which is basically how often,303.24,4.98
132
+ does a dollar change hands and the,305.94,3.9
133
+ velocity of currency I think would have,308.22,3.78
134
+ to be three times higher than what it is,309.84,4.52
135
+ now just in order to have enough,312.0,7.08
136
+ transactions uh to to to even tax to get,314.36,6.66
137
+ to that two thousand dollars a month,319.08,5.04
138
+ so you you could either do that or you,321.02,5.679
139
+ could tax levy more taxes on static,324.12,4.919
140
+ money like any bank account over ten,326.699,5.22
141
+ thousand dollars or whatever but this is,329.039,4.741
142
+ getting really really Draconian really,331.919,3.12
143
+ quickly,333.78,3.9
144
+ you'd have to force enforce a lot more,335.039,4.321
145
+ circulation,337.68,3.78
146
+ um and so then I was like okay I keep,339.36,3.72
147
+ going down this rabbit hole and it's,341.46,4.44
148
+ just not working it doesn't make sense,343.08,4.5
149
+ um so I was like maybe we're putting the,345.9,4.32
150
+ cart before the horse maybe maybe we,347.58,4.559
151
+ need to look at something else before we,350.22,5.28
152
+ look at Ubi to make Ubi sustainable and,352.139,5.701
153
+ feasible and so then I was like okay,355.5,4.86
154
+ well money is is an abstraction of value,357.84,4.68
155
+ it's a it's a reserve of value and it's,360.36,3.66
156
+ a medium of exchange but let's look at,362.52,4.32
157
+ the underpinning assets what is the,364.02,5.58
158
+ actual value in goods and services that,366.84,5.88
159
+ money is meant to buy for you so that's,369.6,4.56
160
+ where I went next,372.72,4.08
161
+ but before we get into that I want to,374.16,4.259
162
+ kind of give a little bit of context,376.8,3.48
163
+ about the economic pillars and how I,378.419,4.081
164
+ kind of came to this conclusion that,380.28,5.28
165
+ just raw redistribution in our current,382.5,5.58
166
+ economic uh Paradigm isn't going to work,385.56,4.979
167
+ so basically there are four pillars of,388.08,4.679
168
+ the economy you've got Banks namely,390.539,3.841
169
+ central banks and Regional Banks and,392.759,3.361
170
+ federal banks that you have the,394.38,3.599
171
+ government particularly the federal,396.12,3.78
172
+ government you have businesses and,397.979,3.84
173
+ corporations and then you have consumers,399.9,5.639
174
+ so these are the primary Estates or,401.819,7.741
175
+ pillars of the economy and so consumers,405.539,6.361
176
+ is the aggregate you know all,409.56,4.56
177
+ individuals and households that need,411.9,4.799
178
+ goods and services and generally also,414.12,4.74
179
+ sometimes provide work usually the way,416.699,4.021
180
+ that they get income is in exchange for,418.86,3.119
181
+ labor sometimes there's also,420.72,4.259
182
+ entitlements or uh or Capital that they,421.979,4.981
183
+ own so those are the three primary ways,424.979,3.72
184
+ that consumers get money,426.96,3.6
185
+ right an entitlement might come from the,428.699,4.741
186
+ government such as your your pension or,430.56,5.1
187
+ your uh your your social security check,433.44,4.62
188
+ uh that sort of thing so you get money,435.66,5.7
189
+ that way Medicare Medicaid uh you know,438.06,5.1
190
+ the the government Health uh you know,441.36,4.32
191
+ through the VA that gives you buying,443.16,4.02
192
+ power which means that you can then go,445.68,3.9
193
+ to a business uh such as a health care,447.18,4.519
194
+ provider or grocery store or whatever,449.58,5.16
195
+ to demand goods and services such as,451.699,5.741
196
+ health care food education is an,454.74,4.32
197
+ entitlement so that is something that,457.44,2.759
198
+ you don't even pay for the government,459.06,4.44
199
+ just pays for it directly via taxes uh,460.199,5.161
200
+ and then but then one thing that a lot,463.5,3.12
201
+ of people don't know is where does the,465.36,3.42
202
+ money come from well what you need to,466.62,4.32
203
+ understand about the monetary system is,468.78,4.68
204
+ that the money comes from central banks,470.94,5.039
205
+ comes from the federal bank which uh,473.46,4.98
206
+ creates money by lending it but the,475.979,4.381
207
+ thing is is that that money then has to,478.44,4.02
208
+ be repaid and so that's whenever you,480.36,3.36
209
+ hear in the news like the FED is,482.46,2.94
210
+ changing the interest rate that's what,483.72,2.759
211
+ it that's what they're doing is they're,485.4,2.76
212
+ changing the fundamental interest rate,486.479,3.72
213
+ and when that money is repaid to the,488.16,3.84
214
+ central banks it's actually just taken,490.199,3.481
215
+ off the market entirely,492.0,4.44
216
+ with that being said the total supply of,493.68,5.28
217
+ money goes up over time it like def,496.44,4.56
218
+ there is it there is an optimal amount,498.96,4.679
219
+ of inflation that uh that they go for,501.0,5.16
220
+ because the idea is that if the value of,503.639,5.041
221
+ your dollar goes down over time then you,506.16,4.86
222
+ are incentivized to spend it sooner,508.68,4.2
223
+ rather than later which keeps the,511.02,3.66
224
+ economy churning because under,512.88,3.959
225
+ deflationary pressures you might as well,514.68,3.659
226
+ hold on to your money because holding on,516.839,3.841
227
+ to cash is an investment if your dollar,518.339,4.32
228
+ will go twice as far a year from now as,520.68,3.479
229
+ it does today you're not going to spend,522.659,4.201
230
+ any money you're going to wait so having,524.159,4.86
231
+ an optimal amount of inflation is what,526.86,4.919
232
+ the central banks do to ensure that you,529.019,4.861
233
+ are going to spend that money on labor,531.779,3.841
234
+ and other Investments to keep the,533.88,3.6
235
+ economy humming along,535.62,5.04
236
+ so with that being said you can't just,537.48,5.1
237
+ inject a lot of money like you know the,540.66,3.54
238
+ idea of like what if you do quantitative,542.58,4.5
239
+ easing which is just creating billions,544.2,4.86
240
+ or trillions of dollars and give it to,547.08,4.14
241
+ Consumers that's called hyperinflation,549.06,3.959
242
+ and that is super bad and I think I'm,551.22,4.32
243
+ actually supposed to be oh yeah sorry,553.019,6.601
244
+ so the if uh sorry I meant to move on to,555.54,7.26
245
+ a slide so if you do just quantitative,559.62,5.219
246
+ easing just injecting money into the,562.8,3.9
247
+ system that's hyperinflation which means,564.839,5.161
248
+ that you severely depress the value of,566.7,6.18
249
+ money which means that like okay the,570.0,4.38
250
+ money that you have today is going to be,572.88,4.32
251
+ worth a lot less tomorrow and so uh,574.38,4.8
252
+ inflation can be caused by two primary,577.2,5.1
253
+ things supply and demand so Supply is,579.18,6.0
254
+ what we're experiencing uh post pandemic,582.3,4.62
255
+ because of logistic and supply chain,585.18,5.04
256
+ issues because of supply chain issues uh,586.92,5.94
257
+ the supply of goods is lower which means,590.22,5.58
258
+ the prices go up alternatively if the,592.86,4.919
259
+ demand goes up the prices can also go up,595.8,4.14
260
+ and that's what we saw a little bit the,597.779,5.101
261
+ effect wasn't too pronounced but it was,599.94,5.1
262
+ pronounced enough to be meaningful with,602.88,3.959
263
+ the stimulus checks that Americans got,605.04,4.26
264
+ during the pandemic which caused some,606.839,3.961
265
+ inflation it didn't cause most of the,609.3,2.76
266
+ inflation that we're seeing most the,610.8,3.719
267
+ inflation that we're seeing is due to uh,612.06,5.219
268
+ geopolitics and globalism and global,614.519,5.76
269
+ trade uh you know namely like the war in,617.279,5.221
270
+ Russia and Ukraine right now,620.279,5.641
271
+ that is a far larger impact on inflation,622.5,5.82
272
+ than uh the stimulus checks that being,625.92,4.68
273
+ said if we were to do stimulus checks,628.32,4.079
274
+ for everyone every month we would,630.6,4.02
275
+ absolutely see hyperinflation which is,632.399,3.601
276
+ really bad because all you're doing is,634.62,2.94
277
+ injecting money,636.0,4.2
278
+ um into the consumer part and then okay,637.56,4.44
279
+ that money goes where it goes to,640.2,3.9
280
+ businesses and so then the businesses,642.0,4.32
281
+ have more aggregate demand but then how,644.1,4.08
282
+ do you take that money back off of the,646.32,4.86
283
+ table so that you uh you you basically,648.18,4.92
284
+ fight it with deflation you'd have to,651.18,3.599
285
+ have someone just hoovering up that,653.1,4.08
286
+ extra money and destroying it so does,654.779,4.081
287
+ that mean the government just then taxes,657.18,3.899
288
+ everyone to to take that quantitative,658.86,5.7
289
+ easing back off of the economy we might,661.079,6.061
290
+ get there especially once we get to a,664.56,4.74
291
+ period of hyper abundance and where like,667.14,4.439
292
+ nobody works and labor like human labor,669.3,5.099
293
+ is completely uh worthless,671.579,5.521
294
+ but I don't I don't see that we're there,674.399,4.38
295
+ yet and I and I think that such a,677.1,4.02
296
+ fundamental paradigm shift in economics,678.779,4.381
297
+ probably shouldn't be done all at once,681.12,3.779
298
+ we should probably work towards that,683.16,4.14
299
+ slowly because again the economic system,684.899,4.62
300
+ is huge cumbersome there's a tremendous,687.3,4.58
301
+ amount of inertia and so I was like okay,689.519,5.401
302
+ clearly like thinking about it in terms,691.88,5.44
303
+ of current velocity of currency and,694.92,5.099
304
+ circulation and Cycles uh like a,697.32,5.04
305
+ hydrological cycle it that's how it,700.019,4.141
306
+ works now but we can't fundamentally,702.36,4.26
307
+ change this we can't upend it uh very,704.16,4.56
308
+ quickly so I was like all right this,706.62,4.02
309
+ direction of thinking isn't working so,708.72,4.2
310
+ let's look at first principles,710.64,5.52
311
+ so supply and demand so what I mean is,712.92,6.419
312
+ if you can get a hyperabundance of,716.16,6.78
313
+ Supply right post scarcity then the,719.339,4.801
314
+ price goes down,722.94,3.3
315
+ and so then I was like okay well if we,724.14,3.72
316
+ really really drastically increase,726.24,5.12
317
+ supply of basic Goods basic Services,727.86,6.539
318
+ then maybe we can get the prices low,731.36,5.8
319
+ enough that Ubi is actually really cheap,734.399,5.401
320
+ overall and so what I mean by that is,737.16,4.38
321
+ what if we can get your cost of living,739.8,3.719
322
+ from four thousand dollars a month to,741.54,4.02
323
+ four hundred dollars a month as it is,743.519,4.44
324
+ today through hyperabundance through,745.56,4.62
325
+ post scarcity and we can get there,747.959,6.841
326
+ through things like uh AI solar Quantum,750.18,6.719
327
+ Computing and that sort of thing,754.8,3.9
328
+ so let's unpack this a little bit,756.899,3.901
329
+ further and figure out how we can make,758.7,3.24
330
+ that happen,760.8,3.42
331
+ let's take a look at the at consumer,761.94,5.94
332
+ expenses so this is as of 2016. so it's,764.22,5.64
333
+ a little bit out of date but in general,767.88,4.56
334
+ this pie chart doesn't change we,769.86,3.9
335
+ generally spend about a third of our,772.44,3.959
336
+ money on housing another 16 on,773.76,7.019
337
+ Transportation almost 13 on food 12 on,776.399,7.861
338
+ insurance and uh paying into pensions uh,780.779,6.0
339
+ or retirement plans eight percent on,784.26,4.68
340
+ health care so on and so forth and then,786.779,3.901
341
+ down to 2.5 percent on education,788.94,3.72
342
+ obviously the education number is much,790.68,4.38
343
+ larger for some people uh I've I've,792.66,4.56
344
+ known people that that spent more on,795.06,4.8
345
+ their uh their college loans than their,797.22,4.619
346
+ home loans which is just completely,799.86,4.68
347
+ insane to me but we took we take a look,801.839,5.521
348
+ at these top five categories right one,804.54,6.12
349
+ two three four five and if we can use,807.36,6.36
350
+ the hyperabundance of solar infusion and,810.66,6.78
351
+ whatever else uh wind energy,813.72,5.16
352
+ and then we can also use the,817.44,3.3
353
+ hyperabundance of cognitive labor from,818.88,6.12
354
+ AI we could probably reduce costs of a,820.74,5.7
355
+ lot of these sectors now these sectors,825.0,4.8
356
+ are very very different but I did find,826.44,5.04
357
+ some commonalities that I think we can,829.8,3.06
358
+ focus on,831.48,4.26
359
+ so first is transportation obviously,832.86,4.8
360
+ Elon Musk and Tesla and full,835.74,4.44
361
+ self-driving cars and all the EVS coming,837.66,5.16
362
+ onto the road this is going to have an,840.18,5.52
363
+ economic effect but it one thing is that,842.82,4.74
364
+ transportation is Central to the economy,845.7,4.379
365
+ because you need transportation to move,847.56,5.04
366
+ good services and people,850.079,5.521
367
+ um or to move goods and people uh and,852.6,4.739
368
+ then you can provide services such as,855.6,4.919
369
+ ride shares delivery that sort of thing,857.339,5.881
370
+ so right now internal combustion engine,860.519,6.06
371
+ cars cost about 75 cents per Rider mile,863.22,5.4
372
+ this varies a lot depending on the car,866.579,4.981
373
+ you have and where you are uh because,868.62,5.159
374
+ obviously if you're driving you know an,871.56,4.5
375
+ F-350 Dually that costs a little bit,873.779,3.961
376
+ more to drive per mile than you know,876.06,5.7
377
+ Toyota Prius but on average internal,877.74,5.64
378
+ combustion engine cars cost about 70,881.76,3.96
379
+ cents per Rider mile now what's,883.38,4.44
380
+ interesting is that in America because,885.72,5.64
381
+ of regulatory problems and technical,887.82,7.019
382
+ issues and supply chain issues EVS are,891.36,6.12
383
+ often more expensive per Rider mile the,894.839,4.62
384
+ total cost of ownership of EVS is,897.48,4.08
385
+ actually still higher than internal,899.459,4.861
386
+ combustion engines now that being said,901.56,6.12
387
+ Eevee ride sharing such as if you don't,904.32,5.4
388
+ own the car but instead you just you,907.68,4.38
389
+ know use Uber or Lyft or Waze or,909.72,4.26
390
+ whatever and then you know a couple,912.06,4.32
391
+ minutes later an autonomous car comes to,913.98,6.12
392
+ pick you up the the the the cost of that,916.38,6.54
393
+ Rider mile could be as low as six cents,920.1,4.44
394
+ per Rider mile,922.92,4.38
395
+ so we're seeing we see the possibility,924.54,6.78
396
+ of like a 12x reduction or more of the,927.3,7.32
397
+ cost of Transportation uh if we can,931.32,5.879
398
+ figure out full self-driving and fully,934.62,6.6
399
+ autonomous uh EV uh vehicles,937.199,6.241
400
+ and some of this will be fixed by,941.22,4.2
401
+ economies of scale but that being said,943.44,6.12
402
+ uh the if you can reduce the cost of,945.42,6.539
403
+ Transportation by a factor of 10 or more,949.56,4.7
404
+ this is going to have knock-on effects,951.959,5.101
405
+ across the rest of the economy and so,954.26,5.019
406
+ we'll unpack this effect uh throughout,957.06,4.44
407
+ the rest of the video so here's some of,959.279,4.141
408
+ the knock-on effects that we might see,961.5,4.139
409
+ just I want to prime your primary your,963.42,4.38
410
+ mind to think about the knock-on effects,965.639,4.021
411
+ oh and also just imagine the knock-on,967.8,3.42
412
+ effects of reducing the cost of energy,969.66,4.32
413
+ by 10x with solar with fusion and of,971.22,4.559
414
+ course with Fusion the cost of energy,973.98,4.26
415
+ goes down a thousand X it goes down 10,975.779,4.92
416
+ 000 x to the point that it is a trivial,978.24,3.719
417
+ cost,980.699,5.521
418
+ so the idea is that uh well first think,981.959,6.541
419
+ all Goods that you need right every,986.22,4.2
420
+ clothing every piece of clothing all the,988.5,3.899
421
+ food you eat all the materials that go,990.42,5.34
422
+ into your house literally every physical,992.399,6.12
423
+ good has to be transported at least a,995.76,5.1
424
+ short distance many of them have to be,998.519,5.281
425
+ transported across the entire planet so,1000.86,5.219
426
+ if we can get the cost of transportation,1003.8,4.979
427
+ to a fraction of what it is today that,1006.079,4.88
428
+ will lower the cost of living,1008.779,5.701
429
+ drastically because then you know the,1010.959,5.44
430
+ supply chain is faster more efficient,1014.48,3.26
431
+ cheaper,1016.399,3.781
432
+ we can also use artificial intelligence,1017.74,4.599
433
+ to shorten those Supply chains Quantum,1020.18,3.48
434
+ Computing can probably help with,1022.339,4.021
435
+ Logistics as well energy hyperabundance,1023.66,3.899
436
+ will also help with that because that,1026.36,2.819
437
+ means that you can have fully automated,1027.559,4.201
438
+ factories in the next city over and your,1029.179,3.961
439
+ stuff doesn't have to come from across,1031.76,3.659
440
+ the planet you can have vertical farms,1033.14,4.559
441
+ and container Farms meaning that all of,1035.419,3.961
442
+ your food and exotic fruit and,1037.699,4.26
443
+ everything is grown right next door you,1039.38,5.4
444
+ year round with the energy abundance of,1041.959,6.36
445
+ solar and wind and that sort of stuff uh,1044.78,5.22
446
+ economies of scale artificial,1048.319,4.201
447
+ intelligence can help us find,1050.0,4.86
448
+ alternative Battery Technology so for,1052.52,4.32
449
+ instance there's what is it the iron,1054.86,3.84
450
+ oxygen batteries that are being worked,1056.84,4.5
451
+ on and other stuff that doesn't use,1058.7,5.94
452
+ risky uh minerals now I know that,1061.34,5.339
453
+ lithium is hypothetically super abundant,1064.64,4.62
454
+ but you know looking at the elemental,1066.679,4.561
455
+ composition of the crust of the earth is,1069.26,3.9
456
+ one thing looking at the mining,1071.24,4.74
457
+ infrastructure and the concentration uh,1073.16,4.62
458
+ that makes it economically feasible to,1075.98,4.64
459
+ extract is an entirely other argument,1077.78,6.24
460
+ but anyways moving stuff around the,1080.62,6.1
461
+ planet is very expensive and it is a,1084.02,4.62
462
+ very complicated thing so the,1086.72,4.8
463
+ combination of Transport Revolution,1088.64,5.34
464
+ along with energy hyperabundance is,1091.52,4.98
465
+ going to really drastically drop that,1093.98,4.62
466
+ so this is going to have knock-on,1096.5,3.78
467
+ effects that's going to lower the cost,1098.6,5.88
468
+ of everything like just full stop it's,1100.28,5.34
469
+ going to lower the cost of everything,1104.48,4.28
470
+ across the planet housing so the biggest,1105.62,6.74
471
+ uh expense that we all have is housing,1108.76,7.26
472
+ so let's assume that okay moving Timber,1112.36,7.84
473
+ harvesting wood making concrete all of,1116.02,6.1
474
+ these things that are very very uh,1120.2,3.719
475
+ material intensive you have to move a,1122.12,3.72
476
+ lot of heavy materials and they're also,1123.919,4.801
477
+ very energy intensive carbon uh sorry,1125.84,5.699
478
+ concrete accounts just on its own,1128.72,4.56
479
+ concrete accounts for I think more than,1131.539,3.661
480
+ eight percent of global carbon emissions,1133.28,5.1
481
+ so like this is a very energy intensive,1135.2,5.58
482
+ and very material intensive thing which,1138.38,4.26
483
+ is why houses are so expensive there's,1140.78,4.2
484
+ also the labor aspect it takes a lot of,1142.64,4.68
485
+ Labor and expertise to build a house,1144.98,5.3
486
+ so what if we can really drastically,1147.32,5.82
487
+ reduce the cost of building homes,1150.28,5.32
488
+ whether it's a single family home or a,1153.14,4.919
489
+ duplex or a small apartment or row,1155.6,3.9
490
+ houses whatever,1158.059,3.181
491
+ uh there's a few ways that we can,1159.5,3.059
492
+ approach this but again remember,1161.24,3.36
493
+ Transportation has already lowered the,1162.559,5.401
494
+ cost a lot uh things like 3D printed,1164.6,5.04
495
+ houses I watched an entire documentary,1167.96,4.56
496
+ to do research and 3D printed houses are,1169.64,4.38
497
+ more durable,1172.52,3.72
498
+ um so they're also cheaper their upfront,1174.02,4.32
499
+ cost is much cheaper because it takes a,1176.24,4.86
500
+ lot less labor to build them uh so you,1178.34,5.88
501
+ you with with robotic automation you get,1181.1,4.8
502
+ as many humans out of it as possible,1184.22,4.14
503
+ which makes it faster and cheaper the,1185.9,4.92
504
+ end product is better too so better,1188.36,4.26
505
+ cheaper faster this is what Ai and,1190.82,3.96
506
+ automation does better cheaper faster,1192.62,6.0
507
+ you combine the existing innovation of,1194.78,5.94
508
+ 3D printing with energy hyper abundance,1198.62,3.84
509
+ and then you add even more Ai and,1200.72,4.56
510
+ Automation and then suddenly you can,1202.46,6.54
511
+ just 3D print houses a thousand a day if,1205.28,4.98
512
+ you need to,1209.0,3.9
513
+ uh now one problem is that this requires,1210.26,5.7
514
+ regulatory overhaul uh this is a very,1212.9,4.98
515
+ new discipline and so a lot of,1215.96,3.9
516
+ Manufacturers aren't even touching this,1217.88,4.62
517
+ thing uh with that being said I suspect,1219.86,4.26
518
+ we're going to see a ramp up because,1222.5,4.08
519
+ some of the big housing uh manufacturers,1224.12,4.74
520
+ the ones that make uh gigantic,1226.58,4.38
521
+ subdivisions like Lamar they're already,1228.86,3.96
522
+ experimenting with this and investing in,1230.96,2.88
523
+ it,1232.82,3.0
524
+ um and so when the investment is there,1233.84,3.9
525
+ you know that it's coming fast and I was,1235.82,3.84
526
+ actually surprised to learn that there,1237.74,3.84
527
+ are entire subdivisions Across America,1239.66,4.5
528
+ that have already been 3D printed and I,1241.58,3.839
529
+ really wish that they were here in the,1244.16,3.72
530
+ South because I super want a 3D printed,1245.419,4.5
531
+ house can you imagine having a castle,1247.88,4.32
532
+ made of concrete that it's 3D printed,1249.919,4.921
533
+ and extruded I super want that super bad,1252.2,4.38
534
+ but I don't think that there's anyone,1254.84,4.56
535
+ doing it here in the South we'll see,1256.58,5.52
536
+ so how much is this going to actually,1259.4,5.159
537
+ reduce the cost of homes,1262.1,5.4
538
+ ice found evidence that some small 3D,1264.559,4.86
539
+ printed homes could be as low as four,1267.5,4.02
540
+ thousand dollars,1269.419,3.901
541
+ um generally they're closer to ten,1271.52,4.62
542
+ thousand dollars uh for a small one and,1273.32,4.56
543
+ of course one thing that a lot of people,1276.14,3.36
544
+ complained about when I mentioned like,1277.88,3.659
545
+ moving into tiny houses and you know,1279.5,3.78
546
+ portable houses and stuff like that is,1281.539,3.0
547
+ people like I don't want to live in a,1283.28,3.36
548
+ closet like it's not a closet it's just,1284.539,4.5
549
+ a small house anyways,1286.64,4.98
550
+ icon is a company that exists today and,1289.039,4.981
551
+ is printing 2 000 square foot houses for,1291.62,5.64
552
+ a hundred thousand dollars so my house,1294.02,5.279
553
+ that I live in now is eighteen hundred,1297.26,4.08
554
+ square feet on an acre of land and I,1299.299,5.101
555
+ paid 200 000 for it ten years ago,1301.34,5.28
556
+ so I could have something a little bit,1304.4,4.86
557
+ bigger for half that price and of course,1306.62,4.14
558
+ my house is worth like four hundred,1309.26,4.02
559
+ thousand now uh because of you know,1310.76,5.279
560
+ inflation and stuff so these these,1313.28,5.759
561
+ commercial uh buildings are much cheaper,1316.039,4.441
562
+ already,1319.039,5.161
563
+ so if they're you know twice as cheap or,1320.48,6.66
564
+ ha or sorry half as cheap or or a fifth,1324.2,6.479
565
+ as as expensive as it costs to build uh,1327.14,6.36
566
+ stick Built Homes then we're already on,1330.679,5.041
567
+ the way to that like let's let's,1333.5,5.1
568
+ collapse the price of housing now you,1335.72,7.38
569
+ combine uh solar AI uh wind eventually,1338.6,8.4
570
+ Fusion concrete gets much cheaper uh you,1343.1,6.54
571
+ can you can also factory farm wood more,1347.0,6.419
572
+ you can automate uh Timber forests,1349.64,6.48
573
+ um and so then let's let's say that,1353.419,4.861
574
+ we're we're working towards dropping the,1356.12,6.48
575
+ uh cost of housing by at least 10x so,1358.28,8.04
576
+ instead of 33 or 35 of your daily or,1362.6,6.059
577
+ your monthly income it costs three and a,1366.32,4.32
578
+ half percent so my twelve hundred dollar,1368.659,6.061
579
+ mortgage would go down to 120 which is,1370.64,5.399
580
+ pretty sustainable,1374.72,3.06
581
+ that's just a couple days worth of work,1376.039,4.38
582
+ for for many people uh and it's less,1377.78,4.32
583
+ than an hour of work for a lot of uh,1380.419,4.081
584
+ professionals that being said we're,1382.1,4.74
585
+ looking at you know Ubi which is nobody,1384.5,5.539
586
+ works but if you can Mass produce homes,1386.84,8.28
587
+ then like hey great now also with Ubi,1390.039,6.281
588
+ because one thing that people have,1395.12,4.02
589
+ pointed out is that uh land is expensive,1396.32,4.8
590
+ desirable land will always be expensive,1399.14,4.86
591
+ but America is really really empty sorry,1401.12,5.16
592
+ I have that in a future slide there is,1404.0,5.22
593
+ lots and lots of land to expand into so,1406.28,4.74
594
+ land is actually going to be relatively,1409.22,3.6
595
+ cheap the hardest part is going to be,1411.02,3.96
596
+ water but we can fix that with solar,1412.82,3.66
597
+ because then you can distill and recycle,1414.98,4.319
598
+ any amount of water in the long run I,1416.48,4.38
599
+ think that I think the compounding,1419.299,4.62
600
+ returns of robotic automation artificial,1420.86,4.92
601
+ intelligence and energy hyper abundance,1423.919,4.201
602
+ means that we could eventually see a,1425.78,6.0
603
+ 100x drop in the cost of housing meaning,1428.12,5.039
604
+ that a five hundred thousand dollar,1431.78,4.56
605
+ house in today's money would cost you,1433.159,7.26
606
+ five thousand dollars in 10 to 20 years,1436.34,6.959
607
+ now food and other Goods so what I,1440.419,4.981
608
+ realized is that okay Transportation,1443.299,4.5
609
+ great you solved that problem you've,1445.4,4.139
610
+ basically solved a lot of other problems,1447.799,3.661
611
+ that have again those knock-on effects,1449.539,4.02
612
+ you fix Transportation you make it super,1451.46,4.8
613
+ cheap that makes housing cheaper uh you,1453.559,3.901
614
+ get compounding returns there because,1456.26,2.7
615
+ all the lessons that you learn from,1457.46,4.26
616
+ robotic automation for delivery and and,1458.96,4.98
617
+ that sort of stuff that makes that makes,1461.72,3.9
618
+ that cheaper but those lessons also,1463.94,4.56
619
+ apply directly to agriculture as well as,1465.62,5.039
620
+ a bunch of other things now one thing,1468.5,5.159
621
+ that I thought was that okay if these,1470.659,4.921
622
+ industries get so cheap that they're not,1473.659,4.38
623
+ sustainable because what happens is the,1475.58,3.78
624
+ margins narrow,1478.039,4.081
625
+ and so when you have no profit that can,1479.36,4.92
626
+ be made you have to either become a,1482.12,5.34
627
+ non-profit organization and and uh you,1484.28,7.139
628
+ basically survive on uh subsidies or,1487.46,7.38
629
+ donations or you can be nationalized by,1491.419,6.661
630
+ the by the by the government which means,1494.84,5.4
631
+ that the government then runs things but,1498.08,3.839
632
+ uh,1500.24,3.66
633
+ the Soviets tried to nationalize,1501.919,4.081
634
+ Agriculture and it caused mass famines,1503.9,3.48
635
+ that killed like millions and millions,1506.0,3.059
636
+ and millions of people,1507.38,3.0
637
+ um so we should not we should probably,1509.059,4.261
638
+ never nationalize agriculture at least,1510.38,6.06
639
+ not for a long time until it is so,1513.32,6.18
640
+ thoroughly operationalized that there is,1516.44,5.16
641
+ no chance for accidentally causing Mass,1519.5,4.679
642
+ famine through Central management so I,1521.6,4.86
643
+ am personally in the favor of keeping,1524.179,4.201
644
+ private corporations but then,1526.46,3.66
645
+ subsidizing their existence which we,1528.38,3.96
646
+ already do by by the way we subsidize,1530.12,5.34
647
+ corn and a few other uh Mass crops just,1532.34,5.219
648
+ so that way we can ensure that it keeps,1535.46,3.24
649
+ growing,1537.559,3.301
650
+ so we're already doing that so if we,1538.7,4.44
651
+ also subsidize other things like home,1540.86,4.26
652
+ building so that no matter how cheap it,1543.14,3.84
653
+ actually gets the corporations can keep,1545.12,3.78
654
+ building them and then the government,1546.98,3.96
655
+ gives them just a little bit of money to,1548.9,4.98
656
+ ensure that they remain afloat uh,1550.94,5.04
657
+ another possibility is changing,1553.88,3.72
658
+ ownership models which I talked about in,1555.98,4.74
659
+ other videos so by by creating locally,1557.6,4.86
660
+ owned decentralized autonomous,1560.72,3.66
661
+ organizations you could probably,1562.46,5.599
662
+ incorporate uh the land you know the the,1564.38,6.419
663
+ municipally owned land and then it can,1568.059,5.561
664
+ be owned operated and managed by the,1570.799,5.521
665
+ citizens of that city or county,1573.62,4.74
666
+ so that is an ownership model that also,1576.32,3.18
667
+ makes sense because then there's no,1578.36,3.54
668
+ profit motive it's basically we're going,1579.5,4.02
669
+ to work this land to feed our local,1581.9,4.08
670
+ community and if we do have any excess,1583.52,4.259
671
+ we can then sell it to neighboring,1585.98,3.9
672
+ communities or whatever local sourcing,1587.779,4.861
673
+ circular economies that sort of stuff AI,1589.88,4.38
674
+ energy hyper abundance and robotic,1592.64,3.24
675
+ automation will all make this a lot more,1594.26,3.84
676
+ feasible and in fact again if those,1595.88,4.679
677
+ prices collapse it'll be necessary to do,1598.1,3.78
678
+ that because then you're providing a,1600.559,3.421
679
+ good or a service not for profit but,1601.88,4.14
680
+ just because it's needed,1603.98,4.02
681
+ um so you know the best the best good is,1606.02,4.62
682
+ the one that's basically free or it kind,1608.0,4.32
683
+ of woven into the fabric of your,1610.64,3.0
684
+ community,1612.32,4.02
685
+ automated forestry as I mentioned Timber,1613.64,5.399
686
+ is one of the most useful resources out,1616.34,7.079
687
+ there first uh creating uh felling trees,1619.039,6.841
688
+ and creating lumber from it is a carbon,1623.419,4.921
689
+ sink uh actually Building Homes out of,1625.88,4.679
690
+ wood permanently sequestered or,1628.34,5.28
691
+ semi-permanently sequesters that into uh,1630.559,4.081
692
+ into,1633.62,3.74
693
+ um into the the structure of the house,1634.64,4.86
694
+ concrete even though it's very energy,1637.36,5.199
695
+ intensive to create now uh is also going,1639.5,4.559
696
+ to be a carbon sink or a potential,1642.559,3.0
697
+ carbon sink depending on the additives,1644.059,3.421
698
+ that you add to it and so then you have,1645.559,4.441
699
+ a permanent carbon sink so automating,1647.48,4.86
700
+ forestry automating uh the the,1650.0,4.86
701
+ production of concrete these things can,1652.34,5.76
702
+ be probably used to one help fight,1654.86,5.22
703
+ climate change because it's like okay,1658.1,3.9
704
+ there's a x amount of carbon in the,1660.08,3.78
705
+ atmosphere let's pull that carbon out,1662.0,3.9
706
+ put it into into trees,1663.86,4.98
707
+ and then we can use that to uh then,1665.9,6.24
708
+ build homes and so my idea here is you,1668.84,6.54
709
+ co-locate automated forests with a,1672.14,5.34
710
+ modular home Factory and then you,1675.38,4.2
711
+ deliver those modular uh house,1677.48,4.02
712
+ components with fully automated,1679.58,4.32
713
+ self-driving semi trucks and then the,1681.5,4.32
714
+ final assembly and site prep is done,1683.9,4.44
715
+ with robots and so you have this end to,1685.82,5.66
716
+ end uh new supply chain that is 100,1688.34,5.939
717
+ sustainable uh there's just a few things,1691.48,5.679
718
+ that we need there energy abundance uh,1694.279,5.041
719
+ better robots a little bit better Ai and,1697.159,4.441
720
+ full self-driving cars but the economic,1699.32,4.5
721
+ incentive is there for all of that to,1701.6,5.22
722
+ happen so this these these virtuous,1703.82,4.8
723
+ Cycles these compounding returns I think,1706.82,4.2
724
+ will allow us to drastically drop the,1708.62,6.179
725
+ prices of our most expensive asset which,1711.02,5.58
726
+ is our homes,1714.799,4.38
727
+ all right so let's do a quick price,1716.6,3.6
728
+ check,1719.179,4.081
729
+ if just for ballpark figures for,1720.2,4.38
730
+ something that's kind of more reasonable,1723.26,3.419
731
+ in the short term let's imagine that,1724.58,4.86
732
+ within five to ten years we can uh and,1726.679,4.201
733
+ it probably will take longer than that,1729.44,4.619
734
+ honestly just because of uh inertia but,1730.88,6.419
735
+ we drop our housing cost by 10x we drop,1734.059,5.521
736
+ our food cost by 10x and we drop our,1737.299,6.24
737
+ transportation by 10x so basically your,1739.58,6.36
738
+ your basic living expenses for me go,1743.539,3.901
739
+ from twenty one hundred and fifty,1745.94,4.68
740
+ dollars a month to 250 a month your,1747.44,4.739
741
+ dollar can go a lot farther with,1750.62,3.0
742
+ technology,1752.179,4.141
743
+ so that leaves Health Care insurance and,1753.62,5.7
744
+ a few other uh big expenses like,1756.32,5.459
745
+ clothing and you know fun and,1759.32,4.02
746
+ entertainment and that sort of stuff but,1761.779,2.76
747
+ Healthcare is one of the biggest ones,1763.34,3.18
748
+ that's remaining education is also,1764.539,3.541
749
+ expensive but I I actually didn't even,1766.52,3.36
750
+ feel like I needed to address education,1768.08,3.719
751
+ especially for the younger people who,1769.88,4.26
752
+ are all you already using chat GPT to,1771.799,4.201
753
+ learn everything,1774.14,3.0
754
+ um and that's only going to get better,1776.0,3.779
755
+ by the way uh you're going to have ai,1777.14,4.5
756
+ and robotic tutors and teachers and,1779.779,4.561
757
+ stuff that are going to be uh infinitely,1781.64,4.919
758
+ patient fully personalized so I actually,1784.34,3.54
759
+ had a really good conversation with,1786.559,5.641
760
+ someone who wants to deploy AI to Africa,1787.88,6.299
761
+ um to basically say we're going to take,1792.2,4.64
762
+ Africa uh as an entire continent,1794.179,4.98
763
+ straight into the 21st century by,1796.84,4.66
764
+ providing personalized education for,1799.159,4.201
765
+ literally every child in Africa so I'm,1801.5,3.179
766
+ really excited to be helping out with,1803.36,4.08
767
+ that project but the idea is that AI can,1804.679,4.681
768
+ do that so and it's also going to be,1807.44,4.2
769
+ cheap so that's why I didn't I guess I,1809.36,4.319
770
+ did just address education but anyway,1811.64,4.08
771
+ ways let's break down health care,1813.679,4.681
772
+ because Healthcare is like the gigantic,1815.72,4.199
773
+ elephant in the room particularly here,1818.36,3.48
774
+ in America but it's also a contentious,1819.919,5.181
775
+ issue in places with socialized medicine,1821.84,6.0
776
+ such as Britain and France there's long,1825.1,4.36
777
+ waiting lists,1827.84,4.02
778
+ um and then of course the their private,1829.46,3.48
779
+ uh,1831.86,5.34
780
+ care is available but like what was I,1832.94,6.599
781
+ reading like dental care in Britain is,1837.2,3.92
782
+ actually kind of difficult because,1839.539,4.561
783
+ dentists are required to take a certain,1841.12,4.84
784
+ number of you know like they have a,1844.1,4.679
785
+ quota of uh of you know government,1845.96,5.88
786
+ provided ones but they will prefer to do,1848.779,6.541
787
+ uh you know to do uh private uh funded,1851.84,5.76
788
+ like right off the bat so like if you're,1855.32,4.079
789
+ on a waiting list if you have money and,1857.6,3.179
790
+ pay for it out of pocket you can get,1859.399,3.961
791
+ care immediately so there are problems,1860.779,4.14
792
+ with the idea of socialized medicine so,1863.36,3.48
793
+ the idea is let's drive down the cost of,1864.919,3.721
794
+ socialized medicine,1866.84,5.04
795
+ as much as possible uh to to basically,1868.64,7.32
796
+ uh avoid avoid the cost so there's an,1871.88,6.299
797
+ age-old adage an ounce of prevention is,1875.96,5.28
798
+ worth a pound of cure so let's focus on,1878.179,5.1
799
+ lowering health care costs primarily,1881.24,4.02
800
+ with prevention,1883.279,4.081
801
+ um obviously we Americans were pretty,1885.26,4.26
802
+ unhealthy some of it is lifestyle some,1887.36,4.26
803
+ of his diet choices but a lot of it is,1889.52,4.2
804
+ just age-related diseases we are living,1891.62,4.26
805
+ longer which means that uh really,1893.72,4.14
806
+ dangerous and expensive diseases like,1895.88,3.6
807
+ heart disease and cancer are killing us,1897.86,4.199
808
+ instead of accidents and treatable,1899.48,3.84
809
+ infections,1902.059,3.6
810
+ so therefore the focus should be on,1903.32,4.62
811
+ healthy aging such as with regenerative,1905.659,5.221
812
+ medicines they can get you back to full,1907.94,5.04
813
+ health and then Rejuvenation therapies,1910.88,5.159
814
+ that can actively lower your age and,1912.98,5.16
815
+ there's been a lot of breakthroughs uh,1916.039,4.38
816
+ just in the last few weeks where AI has,1918.14,4.919
817
+ helped us identify uh chemical,1920.419,4.801
818
+ substances enzymes many of them,1923.059,4.921
819
+ naturally occurring in in nature they,1925.22,5.64
820
+ can actually literally de-age your cells,1927.98,5.52
821
+ so basically the the cheapest doctor the,1930.86,3.78
822
+ best doctor is the one that you never,1933.5,2.159
823
+ need,1934.64,3.419
824
+ and then if we can replace the rest with,1935.659,4.14
825
+ robots and Ai and that kind of thing,1938.059,4.261
826
+ then like you know the cost of Health,1939.799,5.461
827
+ Care just collapses because you know I,1942.32,5.04
828
+ remember I was uh a couple years ago,1945.26,4.08
829
+ before the pandemic I was visiting a bar,1947.36,4.08
830
+ with a friend and the bartender she was,1949.34,3.54
831
+ a little bit younger she was in her 20s,1951.44,3.3
832
+ and she was like why would I have health,1952.88,5.22
833
+ insurance I am healthy and I'm like just,1954.74,6.24
834
+ wait till your 30s or 40s but the idea,1958.1,5.1
835
+ is that you know and this was actually,1960.98,3.419
836
+ one of the biggest problems with,1963.2,3.719
837
+ Obamacare here in America was that young,1964.399,3.721
838
+ people didn't sign up because young,1966.919,2.461
839
+ people didn't care because young people,1968.12,3.72
840
+ are healthy right most of our health,1969.38,4.56
841
+ costs are age-related,1971.84,4.8
842
+ so what I suspect in the future is that,1973.94,4.8
843
+ most Healthcare is going to be so take,1976.64,4.5
844
+ those self-driving cars in your robotic,1978.74,4.919
845
+ doctor you call and just like hey I need,1981.14,4.68
846
+ a checkup or hey I'm feeling sick and,1983.659,5.4
847
+ then you know like an automated uh card,1985.82,5.7
848
+ pulls up and a robot doctor comes out,1989.059,4.62
849
+ and you know says okay what's wrong you,1991.52,4.139
850
+ know Ted does a couple of tests and then,1993.679,3.6
851
+ you know treats you on the spot and then,1995.659,3.421
852
+ away they go so you can even get rid of,1997.279,3.541
853
+ most Hospitals now that being said,1999.08,2.939
854
+ you're still going to need Trauma,2000.82,4.26
855
+ Centers for like accidents and uh there,2002.019,5.221
856
+ will probably still will be some major,2005.08,6.24
857
+ diseases uh things that require icus and,2007.24,6.059
858
+ that sort of stuff but if we can,2011.32,4.26
859
+ drastically reduce the need even just a,2013.299,4.681
860
+ baseline need for edu not education for,2015.58,4.38
861
+ healthcare then that's a great way to,2017.98,4.199
862
+ avoid the cost because the thing is is,2019.96,4.5
863
+ if you are healthy that is cheap so this,2022.179,3.84
864
+ is this is an expense that we can just,2024.46,4.8
865
+ hypothetically fully get rid of,2026.019,5.88
866
+ so I call this Healthcare avoidance,2029.26,5.34
867
+ um you know AI is going to be the,2031.899,4.921
868
+ primary thing here with personalized,2034.6,4.02
869
+ genetic medicine stem cell therapy,2036.82,4.26
870
+ de-aging Rejuvenation that sort of stuff,2038.62,4.679
871
+ one thing is that a lot of people are,2041.08,3.719
872
+ like oh the elites are never going to,2043.299,4.141
873
+ allow the rest of us to have,2044.799,4.681
874
+ um no the thing is is that healthy,2047.44,4.08
875
+ consumers are good consumers dead,2049.48,5.04
876
+ consumers don't spend any money right so,2051.52,5.52
877
+ yes the insurance companies and you know,2054.52,4.8
878
+ the the big Pharma and stuff they want,2057.04,4.619
879
+ to keep you sick but the thing is is,2059.32,4.859
880
+ that's not good for the economy because,2061.659,4.68
881
+ if you have to spend you know eight,2064.179,4.44
882
+ percent or 16 or for people that with,2066.339,4.381
883
+ dealing with chronic conditions up to,2068.619,7.201
884
+ half of their money on on just Health it,2070.72,6.899
885
+ would be way better for the economy the,2075.82,4.079
886
+ government for Society for literally,2077.619,4.8
887
+ everyone else except for the people who,2079.899,5.76
888
+ profiteer off of uh uh chronic illnesses,2082.419,4.92
889
+ it would be better for literally,2085.659,3.601
890
+ everyone else to just get rid of those,2087.339,4.921
891
+ health issues altogether,2089.26,5.22
892
+ um being healthy is cheap cheap citizens,2092.26,4.82
893
+ keep paying taxes uh they keep working,2094.48,6.24
894
+ uh cheap or healthy consumers keep,2097.08,5.5
895
+ buying goods and services and they buy,2100.72,3.48
896
+ goods and services other than health,2102.58,4.44
897
+ care so the economic incentive is there,2104.2,4.86
898
+ so whenever people complain about like,2107.02,3.42
899
+ oh well the elites are going to keep it,2109.06,2.82
900
+ for themselves I don't think that's,2110.44,3.48
901
+ going to be the case and one thing,2111.88,4.68
902
+ another reason that I believe this is,2113.92,4.439
903
+ because when you look at what it,2116.56,3.6
904
+ actually takes to create regenerative,2118.359,4.681
905
+ medicine uh autologous stem cells and,2120.16,4.86
906
+ Rejuvenation therapies these are not,2123.04,3.9
907
+ particularly expensive yeah I know,2125.02,3.66
908
+ there's that that Tech bro out in,2126.94,3.0
909
+ California who's spending a million,2128.68,3.78
910
+ dollars a year to like quote get back to,2129.94,4.32
911
+ age 18,2132.46,4.32
912
+ um you know but the thing is is like,2134.26,5.52
913
+ a lot of these uh yes that that is,2136.78,4.92
914
+ expensive but when you look at what's,2139.78,3.54
915
+ actually effective and the the,2141.7,3.78
916
+ underlying principles it's not that,2143.32,3.72
917
+ expensive and all we need to do is like,2145.48,3.72
918
+ figure out how to mass produce some of,2147.04,4.74
919
+ these things and the economics it makes,2149.2,4.379
920
+ sense this is another thing where I,2151.78,3.36
921
+ think government subsidies will make,2153.579,2.821
922
+ sense as well,2155.14,3.36
923
+ because if you cure something,2156.4,5.58
924
+ permanently if the treatment is not that,2158.5,5.76
925
+ expensive hypothetically but you still,2161.98,5.04
926
+ need someone to do it I I think that the,2164.26,5.099
927
+ pharmac and doctors and everyone else,2167.02,4.319
928
+ will probably be incentivized through,2169.359,4.621
929
+ subsidies like basically here's how I,2171.339,4.74
930
+ might structure that incentive uh,2173.98,4.619
931
+ structure where let's say let's say,2176.079,4.26
932
+ someone comes to you and they've got a,2178.599,3.841
933
+ chronic condition what you would do is,2180.339,3.201
934
+ actually,2182.44,3.48
935
+ incentivize the doctor to cure that,2183.54,4.539
936
+ chronic condition by saying if you cure,2185.92,4.02
937
+ this permanently you get a twenty,2188.079,3.54
938
+ thousand dollar bonus for curing it,2189.94,4.02
939
+ permanently so basically you incentivize,2191.619,4.321
940
+ the behavior that you want to see if,2193.96,3.84
941
+ it's like heart disease like oh hey like,2195.94,3.72
942
+ you've got high cholesterol you've,2197.8,3.299
943
+ you're starting to get heart failure,2199.66,3.54
944
+ let's give you the right medicines the,2201.099,4.5
945
+ right therapies the right treatments to,2203.2,4.139
946
+ permanently cure this to clear all your,2205.599,3.361
947
+ arteries to make sure that your health,2207.339,3.24
948
+ that your heart is as healthy as it was,2208.96,3.659
949
+ when you were eight years old right then,2210.579,4.081
950
+ you incentivize that you incentivize The,2212.619,3.841
951
+ Cure not the treatment because that's,2214.66,3.84
952
+ one of the biggest problems with,2216.46,5.1
953
+ medicine today is through government,2218.5,4.859
954
+ subsidies and Medicare and Medicaid and,2221.56,3.48
955
+ all that stuff we incentivize the,2223.359,3.601
956
+ treatment which is why doctors over,2225.04,4.26
957
+ diagnose but what we really need to do,2226.96,4.32
958
+ is incentivize the cures,2229.3,4.559
959
+ okay now one thing that I need to,2231.28,4.02
960
+ address and I have addressed this in,2233.859,3.901
961
+ previous videos is that even if we,2235.3,4.62
962
+ create hyperabundance of energy and,2237.76,4.2
963
+ Timber and uh and cognitive labor,2239.92,4.14
964
+ there's still going to be a few primary,2241.96,4.74
965
+ scarce inputs to the economy namely,2244.06,6.12
966
+ desirable land and Rare Minerals so,2246.7,6.24
967
+ to address both of these desirable land,2250.18,5.399
968
+ uh as I mentioned America is super super,2252.94,6.24
969
+ empty uh there is a lot of place that we,2255.579,5.28
970
+ can spread to and if your job is not,2259.18,3.899
971
+ tight at one if you don't have a job you,2260.859,4.801
972
+ can live anywhere you want but also if,2263.079,4.321
973
+ your job is not tied to a geographic,2265.66,4.32
974
+ location a particular City you can also,2267.4,4.56
975
+ move wherever you want remote work is on,2269.98,4.44
976
+ the rise so there is a lot of space that,2271.96,4.2
977
+ we can spread out into,2274.42,3.84
978
+ and before you say oh well there's a,2276.16,3.36
979
+ reason people don't live there that's,2278.26,3.599
980
+ not necessarily true a lot of the,2279.52,4.14
981
+ frontier towns were built by the,2281.859,3.72
982
+ railroad companies who just said hey,2283.66,3.24
983
+ we're going to build a railroad through,2285.579,3.421
984
+ this area they bought all the land they,2286.9,3.84
985
+ built it they literally just fabricated,2289.0,3.3
986
+ a town which is why you see some of them,2290.74,3.839
987
+ in straight lines right through like,2292.3,4.559
988
+ Arkansas and Nebraska and stuff is,2294.579,3.841
989
+ because they were literally just,2296.859,5.641
990
+ fabricated out of the Great Plains where,2298.42,5.82
991
+ the railroads created a train station,2302.5,4.38
992
+ and then sold the land and developed it,2304.24,4.92
993
+ and said look now there's a town here I,2306.88,3.36
994
+ think we're going to see the same thing,2309.16,3.12
995
+ again not necessarily through railroads,2310.24,4.339
996
+ but point my point is that you can,2312.28,4.74
997
+ create a town pretty much anywhere in,2314.579,5.621
998
+ America now one the biggest problem is,2317.02,5.28
999
+ water is actually the scarcest resource,2320.2,4.139
1000
+ but with energy hyperabundance you can,2322.3,4.319
1001
+ recycle water pretty easily so yeah if,2324.339,4.26
1002
+ you want to live out in New Mexico you,2326.619,3.0
1003
+ might live A little bit more like the,2328.599,2.52
1004
+ fremen which some people wouldn't want,2329.619,3.0
1005
+ to do that anyways,2331.119,3.121
1006
+ Rare Minerals is going to be the other,2332.619,3.181
1007
+ big thing but I don't know if you saw in,2334.24,3.48
1008
+ the news NASA and a few others are,2335.8,5.819
1009
+ working on sending probes uh to like uh,2337.72,6.72
1010
+ asteroids and meteors uh that are chock,2341.619,5.22
1011
+ full of really really valuable minerals,2344.44,3.96
1012
+ so hopefully we can end up with a,2346.839,2.941
1013
+ hyperabundance of minerals just by,2348.4,4.08
1014
+ mining asteroids in space if we can't do,2349.78,5.7
1015
+ that the coming age of quantum Computing,2352.48,4.32
1016
+ is going to help us create what's called,2355.48,3.24
1017
+ meta materials so these are like,2356.8,4.86
1018
+ nanoparticles that give us properties,2358.72,4.98
1019
+ that you wouldn't otherwise expect so,2361.66,3.419
1020
+ one of the most famous one of course is,2363.7,4.56
1021
+ like carbon nanotubes and um and,2365.079,6.241
1022
+ graphene right graphene is a single,2368.26,6.18
1023
+ sheet of carbon which has really really,2371.32,6.539
1024
+ cool properties it can be uh it can be,2374.44,4.34
1025
+ um,2377.859,4.801
1026
+ superconductive it can be a super super,2378.78,6.28
1027
+ fast transistor that sort of stuff So,2382.66,4.02
1028
+ Meta materials and Material Science will,2385.06,2.94
1029
+ be accelerated by artificial,2386.68,3.36
1030
+ intelligence and Quantum Computing so,2388.0,3.96
1031
+ hopefully we can just say you know what,2390.04,4.079
1032
+ instead of you know needing Cobalt and,2391.96,5.46
1033
+ and nickel and cadmium and lithium what,2394.119,4.74
1034
+ if we can just make everything out of,2397.42,3.419
1035
+ iron and carbon with met with,2398.859,3.961
1036
+ nanoparticles that are really cheap to,2400.839,3.181
1037
+ mass produce,2402.82,3.36
1038
+ we're not there yet but hypothetically,2404.02,4.8
1039
+ it's possible so we could overcome these,2406.18,5.1
1040
+ two major scarce bottlenecks,2408.82,4.56
1041
+ so I mentioned Quantum Computing I found,2411.28,4.2
1042
+ this interesting quotation from an,2413.38,3.78
1043
+ article by the US Department of energy,2415.48,4.02
1044
+ Quantum Computing enables unprecedented,2417.16,4.98
1045
+ Material Science simulations so,2419.5,5.88
1046
+ basically uh as Quantum Computing ramps,2422.14,5.4
1047
+ up and I just posted an article IBM,2425.38,5.88
1048
+ there are 127 qubit quantum computer is,2427.54,5.94
1049
+ actually doing real work now so Quantum,2431.26,4.319
1050
+ the age of quantum Computing is ramping,2433.48,4.02
1051
+ up that'll help us solve stuff like,2435.579,3.601
1052
+ fusion and everything else to do with,2437.5,4.02
1053
+ energy make better solar panels cheaper,2439.18,6.12
1054
+ solar panels genetics and diseases very,2441.52,5.76
1055
+ complex interactions and discovering new,2445.3,4.14
1056
+ drugs and and that sort of stuff Quantum,2447.28,3.96
1057
+ Computing can help with that artificial,2449.44,3.24
1058
+ intelligence can already help with that,2451.24,4.02
1059
+ but you can get a much better faster,2452.68,4.38
1060
+ simulation one of the most interesting,2455.26,3.24
1061
+ things about Quantum Computing is,2457.06,3.36
1062
+ because it basically magically solves,2458.5,3.9
1063
+ optimization problems we have a really,2460.42,4.62
1064
+ hard time verifying the results so,2462.4,4.86
1065
+ basically you run the simulation and,2465.04,3.6
1066
+ then you'll have to test it in reality,2467.26,3.06
1067
+ to see if the simulation was accurate,2468.64,4.979
1068
+ but they're establishing benchmarks,2470.32,5.4
1069
+ about how to gauge the accuracy of a,2473.619,3.781
1070
+ Quantum simulation,2475.72,3.42
1071
+ this Material Science will also,2477.4,3.179
1072
+ accelerate our understanding of,2479.14,2.88
1073
+ batteries metals and other meta,2480.579,3.901
1074
+ materials as I mentioned solar solar is,2482.02,4.079
1075
+ going to be one of the big things on top,2484.48,4.74
1076
+ of everything else that helps with uh,2486.099,5.881
1077
+ driving down the costs,2489.22,4.44
1078
+ um I've seen a lot of people mention,2491.98,3.54
1079
+ computronium,2493.66,4.679
1080
+ um in the comments which okay yes I know,2495.52,5.819
1081
+ Isaac Arthur loves talking about things,2498.339,8.041
1082
+ like computronium and other stuff but,2501.339,5.041
1083
+ this is already happening someone asked,2507.3,4.0
1084
+ me and I'm like neuromorphic chips exist,2509.44,4.5
1085
+ like so a neuromorphic chip is basically,2511.3,4.74
1086
+ an analog chip that in some cases just,2513.94,4.62
1087
+ uses Ambient Energy to do computation,2516.04,5.039
1088
+ it's a real thing but you can't just,2518.56,4.68
1089
+ magically transmute matter into,2521.079,4.381
1090
+ computational material you have to,2523.24,4.02
1091
+ create a meta material which is very,2525.46,4.68
1092
+ difficult right now and know the entire,2527.26,4.68
1093
+ light cone will not be transmuted into,2530.14,4.38
1094
+ computronium that is Pure Fantasy I,2531.94,4.139
1095
+ think,2534.52,3.18
1096
+ um now that being said yes I do believe,2536.079,3.481
1097
+ that the universe is itself a computer,2537.7,4.139
1098
+ so technically all matter is already,2539.56,4.44
1099
+ computronium it's just not Computing,2541.839,4.081
1100
+ something that you deliberately want it,2544.0,3.9
1101
+ to because of the laws of entropy and,2545.92,4.679
1102
+ that sort of stuff anyways getting lost,2547.9,5.699
1103
+ in a tangent Quantum Computing is on the,2550.599,4.921
1104
+ is on the ascendancy and so you have,2553.599,3.24
1105
+ Quantum Computing artificial,2555.52,3.42
1106
+ intelligence and energy hyperabundance,2556.839,3.78
1107
+ all coming together that are going to,2558.94,3.3
1108
+ continue to drive down the cost of,2560.619,3.0
1109
+ literally everything,2562.24,3.9
1110
+ so this is the Snowball Effect,2563.619,5.341
1111
+ uh AI is already accelerating science,2566.14,6.12
1112
+ and lots of other stuff for that matter,2568.96,4.8
1113
+ um I I think actually one of the future,2572.26,4.079
1114
+ hackathons that I'm going to put on is,2573.76,4.02
1115
+ let's automate science as much as,2576.339,4.861
1116
+ possible uh you you have this,2577.78,6.0
1117
+ compounding return where AI helps you do,2581.2,4.56
1118
+ science faster it helps you research AI,2583.78,4.62
1119
+ faster it helps you create more energy,2585.76,4.859
1120
+ abundance faster which all feeds back,2588.4,4.14
1121
+ into the system accelerating the AI,2590.619,3.421
1122
+ which then accelerates Material Science,2592.54,3.539
1123
+ what you know so you get this virtuous,2594.04,4.7
1124
+ cycle this Snowball Effect where,2596.079,5.04
1125
+ suddenly all problems seem to be,2598.74,4.78
1126
+ solvable faster and faster so this is,2601.119,5.281
1127
+ the Triple Crown uh artificial,2603.52,5.22
1128
+ intelligence Quantum Computing oh and,2606.4,4.02
1129
+ Quantum Computing I think I forgot to,2608.74,3.359
1130
+ mention this is that Quantum Computing,2610.42,4.199
1131
+ will also help us design better chips,2612.099,4.321
1132
+ and the materials that go into those,2614.619,4.081
1133
+ better chips so then the quantum,2616.42,4.02
1134
+ computers can help design better quantum,2618.7,3.899
1135
+ computers and better gpus and better,2620.44,4.74
1136
+ tpus which then allows us for better AI,2622.599,4.26
1137
+ which can then improve through Quantum,2625.18,3.36
1138
+ Computing infusion and so you have this,2626.859,4.681
1139
+ three-way interaction this Trifecta of,2628.54,4.98
1140
+ these three technologies that are going,2631.54,4.26
1141
+ to just completely spiral,2633.52,4.559
1142
+ and so those are the three technologies,2635.8,4.74
1143
+ that will lead to hard takeoff these are,2638.079,4.381
1144
+ the three technologies that will lead to,2640.54,4.2
1145
+ the singularity is artificial it's not,2642.46,3.48
1146
+ just artificial intelligence it's,2644.74,2.879
1147
+ artificial intelligence Quantum,2645.94,4.379
1148
+ Computing and um and energy,2647.619,5.101
1149
+ hyperabundance AKA solar wind Fusion,2650.319,5.76
1150
+ that sort of stuff the tldr is that all,2652.72,6.02
1151
+ material concerns basically go away,2656.079,6.301
1152
+ they become so cheap that the cost is,2658.74,6.28
1153
+ trivial that I I suspect you'll they'll,2662.38,4.56
1154
+ have to just subsidize those with,2665.02,4.559
1155
+ government subsidies and so Universal,2666.94,4.32
1156
+ basic income is basically going to be,2669.579,3.961
1157
+ paid for by virtue of we're going to,2671.26,4.98
1158
+ destroy the cost of living,2673.54,5.279
1159
+ so butterfly effect as I've talked about,2676.24,4.74
1160
+ there's all these kinds of interactions,2678.819,3.841
1161
+ and compounding returns and virtuous,2680.98,4.139
1162
+ Cycles this is why I give all my code,2682.66,4.38
1163
+ away for free so I mentioned this at the,2685.119,4.081
1164
+ beginning of the video with my patreon I,2687.04,4.26
1165
+ refuse to sign any ndas because any,2689.2,3.659
1166
+ problem that I solve that has the,2691.3,4.38
1167
+ ability to accelerate this future cannot,2692.859,4.441
1168
+ be locked up as intellectual property,2695.68,4.38
1169
+ and honestly with the way that AI is,2697.3,4.26
1170
+ going I think intellectual property is,2700.06,2.88
1171
+ probably also going the way of the,2701.56,3.539
1172
+ dinosaurs because if AI is generating,2702.94,5.159
1173
+ all intellectual property who cares,2705.099,4.921
1174
+ um the economic productivity that we're,2708.099,3.661
1175
+ going to see in the next couple of years,2710.02,3.48
1176
+ yes it's going to be impressive yes,2711.76,2.94
1177
+ we're going to have quadrillion dollar,2713.5,4.68
1178
+ companies but that all absolutely pales,2714.7,5.28
1179
+ in comparison to what's coming,2718.18,3.899
1180
+ decades after that,2719.98,4.68
1181
+ like when we have the possibility of,2722.079,5.901
1182
+ curing literally every disease,2724.66,6.84
1183
+ imaginable and live long enough to see,2727.98,6.7
1184
+ the stars to see the future what does,2731.5,5.819
1185
+ money matter like what does the,2734.68,6.72
1186
+ economics matter so basically solve,2737.319,6.421
1187
+ solve all these other problems and money,2741.4,4.08
1188
+ becomes irrelevant,2743.74,4.74
1189
+ so this is the underpinning reason for,2745.48,5.04
1190
+ all of my work and the axiomatic,2748.48,3.359
1191
+ alignment the heuristic imperatives that,2750.52,3.18
1192
+ I've been working on which is why I want,2751.839,3.421
1193
+ to equip AI with these things because,2753.7,3.3
1194
+ you reduce suffering by treating,2755.26,4.8
1195
+ diseases you reduce suffering by uh,2757.0,5.28
1196
+ increasing Justice by protecting,2760.06,4.68
1197
+ individual liberty and human rights you,2762.28,4.319
1198
+ increase Prosperity by accelerating,2764.74,5.099
1199
+ science by deploying infrastructure,2766.599,5.581
1200
+ by protecting ecosystems you increase,2769.839,4.921
1201
+ understanding by communication by,2772.18,5.28
1202
+ education by teaching by reinforcing,2774.76,4.74
1203
+ that that virtuous cycle of Science and,2777.46,4.26
1204
+ com and computation and artificial,2779.5,4.26
1205
+ intelligence all of these things work,2781.72,4.859
1206
+ together in compounding returns in order,2783.76,4.859
1207
+ to create the future that we want to see,2786.579,5.221
1208
+ AKA Utopia which I know Utopia is a is a,2788.619,5.7
1209
+ loaded term but to me Utopia means high,2791.8,4.38
1210
+ standard of living High individual,2794.319,4.621
1211
+ liberty and high social Mobility that's,2796.18,4.98
1212
+ the goal alright thanks for watching I,2798.94,5.659
1213
+ hope you got a lot out of this cheers,2801.16,3.439
I summarized the EU AI Act so you can ask ChatGPT about it easily_transcript.csv ADDED
@@ -0,0 +1,746 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ I think we're ready to begin,0.079,4.961
3
+ um he saw me look at the camera used to,3.419,2.821
4
+ be over there now you're over here okay,5.04,6.0
5
+ so I ran a poll uh 17 hours ago I asked,6.24,7.319
6
+ if you all wanted me to do a video on,11.04,6.3
7
+ the euai ACT man got names gotta get,13.559,5.461
8
+ better with names I'm good with acronyms,17.34,3.599
9
+ come to me for acronyms,19.02,5.88
10
+ gato Gaia Aegis okay anyways so y'all,20.939,5.881
11
+ were confused about what I meant by Haas,24.9,3.18
12
+ which is something from here in the,26.82,2.879
13
+ South basically Haas means just,28.08,5.1
14
+ something big right it's short it's a,29.699,6.421
15
+ southern dialect for a horse or in,33.18,5.16
16
+ particular a big horse,36.12,5.22
17
+ um so this document is a Haas because,38.34,5.46
18
+ look how freaking long it is,41.34,4.8
19
+ it just keeps going,43.8,4.739
20
+ so I plugged it in over here,46.14,6.419
21
+ and it is uh 70 000 tokens long so even,48.539,7.86
22
+ if I had access to uh GPT 432k which I,52.559,5.881
23
+ did briefly and then they revoked it I,56.399,4.021
24
+ think they got overwhelmed uh because I,58.44,5.52
25
+ used it I tried to use uh GPT uh 432k on,60.42,5.16
26
+ a couple things and it was just like,63.96,3.96
27
+ server is overloaded servers are anyways,65.58,4.68
28
+ so hopefully I get that back but the,67.92,4.5
29
+ idea was there would be I could read it,70.26,3.66
30
+ and you know chop it up into maybe four,72.42,3.96
31
+ sections uh three or four sections and,73.92,4.08
32
+ read the whole thing but we don't have,76.38,5.48
33
+ that and I do have uh GPT 3.5 turbo,78.0,7.02
34
+ 16k0613 so this model is actually super,81.86,6.46
35
+ super steerable it is actually better,85.02,8.04
36
+ than original gpt4 at a lot of things,88.32,6.36
37
+ um it's still kind of dumb especially if,93.06,3.72
38
+ the instructions are too complex but as,94.68,5.72
39
+ long as you give it just one task uh GPT,96.78,8.879
40
+ 3.3.5 turbo 0613 the June 13th model,100.4,7.24
41
+ um is more than adequate for most things,105.659,4.32
42
+ now that being said because I'm,107.64,4.439
43
+ interpreting legalese and I'm doing,109.979,5.901
44
+ summarization I'm going to use 04,112.079,6.54
45
+ 613. So the instructions that I gave it,115.88,4.96
46
+ just now and I know that I'm ready to,118.619,4.561
47
+ start the video primary purpose,120.84,5.0
48
+ zoom in a little bit the primary purpose,123.18,4.799
49
+ or the following is a chunk of,125.84,3.88
50
+ legislation your job is to summarize,127.979,4.501
51
+ this legislative legislation with two,129.72,5.46
52
+ primary goals one drastically reduce the,132.48,4.8
53
+ word count and two retain enough context,135.18,3.9
54
+ that it will still make sense the reason,137.28,3.48
55
+ for this is the current AI technology,139.08,3.06
56
+ can only read chunks that are so big,140.76,3.36
57
+ method the user will give you a chunk of,142.14,4.2
58
+ legislation via chat your response must,144.12,3.9
59
+ only be the summarized version do not,146.34,3.24
60
+ chat with the user engage with them or,148.02,3.299
61
+ offer any other commentary summarize,149.58,4.879
62
+ only so I copied the first hundred lines,151.319,7.041
63
+ of the legislation into here,154.459,7.301
64
+ and this is what it spit out so it took,158.36,5.26
65
+ all that and just said okay this is what,161.76,4.38
66
+ it means so the first hundred lines,163.62,5.1
67
+ which you can see here,166.14,6.92
68
+ so we've got 344 000 characters,168.72,7.5
69
+ 3665 lines of stuff to go through I'm,173.06,4.6
70
+ not going to read the whole thing I'm,176.22,5.34
71
+ not AI explained uh that dude just like,177.66,5.82
72
+ y'all are impressed with how much work I,181.56,3.24
73
+ can do I'm impressed with how much that,183.48,4.02
74
+ dude can read just honestly I'm maybe he,184.8,6.62
75
+ uses chat GPT I don't know anyways,187.5,7.14
76
+ if you're watching it's just a joke,191.42,6.36
77
+ um okay so anyways uh so ultimately,194.64,6.86
78
+ basically that that first hundred lines,197.78,6.819
79
+ uh was summarized and condensed down to,201.5,5.14
80
+ the European commission proposes a,204.599,4.261
81
+ regulation for harmonized rules on,206.64,3.72
82
+ artificial intelligence aiming to,208.86,4.26
83
+ balance the socioeconomic benefits of AI,210.36,5.28
84
+ with potential risks The Proposal seeks,213.12,4.8
85
+ to ensure AI systems are safe respect,215.64,4.08
86
+ fundamental rights provide legal,217.92,3.36
87
+ certainty for investment in Innovation,219.72,3.96
88
+ enhance governance and prevent Market,221.28,4.739
89
+ fragmentation so it has says nothing,223.68,5.1
90
+ about existential risks or prevent AI,226.019,4.44
91
+ from killing everyone it's sort of,228.78,3.78
92
+ implicit because like if AI kills,230.459,3.481
93
+ everyone you can't have investment in,232.56,3.42
94
+ Innovation but I would rather see,233.94,5.28
95
+ legislation that is explicit it proposes,235.98,4.74
96
+ a risk-based approach prohibiting,239.22,3.599
97
+ certain harmful AI practices and setting,240.72,4.32
98
+ requirements for high-risk AI systems,242.819,4.14
99
+ okay cool we'll see how they Define that,245.04,3.18
100
+ later,246.959,3.301
101
+ The Proposal also establishes a,248.22,3.719
102
+ governance system at member state level,250.26,3.36
103
+ and a European artificial intelligence,251.939,4.02
104
+ board at Union level Okay cool so this,253.62,3.54
105
+ is this is going to be an international,255.959,4.441
106
+ regulator great it is consistent with,257.16,5.34
107
+ existing Union legislation and policies,260.4,3.96
108
+ including data protection consumer,262.5,3.36
109
+ protection non-discrimination and gender,264.36,3.839
110
+ equality so these are all very low level,265.86,4.559
111
+ risks none of this is actually talking,268.199,4.56
112
+ like when they say high risk they're,270.419,3.84
113
+ probably meaning like the social credit,272.759,4.861
114
+ system uh that is used in China which,274.259,5.22
115
+ that is a high risk but it is not the,277.62,4.5
116
+ highest risk The Proposal is based on,279.479,4.261
117
+ article 114 of the Treaty of the,282.12,3.18
118
+ functioning of the European Union Union,283.74,5.519
119
+ the tfeu which ensures The Establishment,285.3,5.459
120
+ and functioning of the internal Market,289.259,4.38
121
+ okay so this is mostly a market-oriented,290.759,5.041
122
+ piece of legislation great so we know,293.639,4.141
123
+ that this works so let's go ahead and,295.8,3.36
124
+ save this out I'm going to walk you,297.78,3.419
125
+ through the whole process,299.16,4.62
126
+ um and then I'll yeah so this is this is,301.199,4.141
127
+ how this is how we're going to proceed,303.78,3.24
128
+ for those of you that are newer to my,305.34,3.24
129
+ channel this is actually the original,307.02,3.72
130
+ format that I used where I would where I,308.58,3.3
131
+ would walk you through the entire,310.74,3.899
132
+ process so just watched it on 2X and,311.88,5.46
133
+ you'll see the whole process of how I,314.639,4.681
134
+ approach these things so we'll call this,317.34,6.78
135
+ system summarize yes dot text,319.32,7.26
136
+ and so basically I give it a system a,324.12,4.38
137
+ system message with very very clear,326.58,4.44
138
+ instructions uh and and what I expect,328.5,4.68
139
+ and and what it should expect and then,331.02,3.66
140
+ it gives you very clear consistent,333.18,5.76
141
+ results so then we come over to,334.68,5.48
142
+ um,338.94,4.259
143
+ Step One simplify so this is I'm just re,340.16,6.879
144
+ I'm borrowing code uh which I always do,343.199,5.761
145
+ um,347.039,3.901
146
+ so we've got this so this is what we're,348.96,4.38
147
+ going to use to do that,350.94,4.68
148
+ um this is this is this is a KB service,353.34,3.66
149
+ that I'm working on so I'll show you,355.62,4.26
150
+ that in an upcoming video,357.0,6.68
151
+ um but you don't get to see that yet,359.88,3.8
152
+ we don't need KB functions so delete,364.139,3.541
153
+ that,366.539,3.241
154
+ flask routes we're not going to do a,367.68,4.079
155
+ flask app so that's also fine actually I,369.78,4.8
156
+ guess I just delete most of it okay cool,371.759,4.5
157
+ so we get rid of flask because we're not,374.58,2.76
158
+ going to do that we're not going to do,376.259,3.121
159
+ threading We're Not Gonna we don't need,377.34,7.94
160
+ flask or logging or Json or yaml okay,379.38,5.9
161
+ clean it up I probably should have done,386.22,3.539
162
+ that before I started the video but it's,388.199,3.961
163
+ good to it's good for you to see how,389.759,4.201
164
+ messy my process is,392.16,3.3
165
+ um I am the first person to tell you I,393.96,3.0
166
+ am not a professional developer I never,395.46,4.079
167
+ was my uh professional background was I,396.96,4.739
168
+ was uh in virtualization and automation,399.539,4.38
169
+ so I'm an automation engineer which is,401.699,3.661
170
+ why I approach things the way that I do,403.919,4.56
171
+ which is creating discrete steps,405.36,4.679
172
+ um so you notice the FI the title of,408.479,4.141
173
+ this is uh step one simplify,410.039,4.561
174
+ um Okay cool so basically what we're,412.62,6.12
175
+ going to do is we're going to ask this,414.6,7.379
176
+ handy dandy uh coding chat bot that I,418.74,6.54
177
+ built which you can use this it is,421.979,6.421
178
+ available over,425.28,5.52
179
+ here,428.4,4.62
180
+ um I had a bunch of people submitting,430.8,6.239
181
+ um uh uh pull requests and they kept,433.02,6.06
182
+ trying to like change the way that this,437.039,3.301
183
+ thing works so I just set it to public,439.08,4.559
184
+ archive so here's the thing is I welcome,440.34,6.359
185
+ pull requests that are like,443.639,5.761
186
+ simple fixes or small improvements don't,446.699,4.741
187
+ refactor my code just Fork it right like,449.4,4.26
188
+ there's 19 Forks if you want to if you,451.44,3.84
189
+ want to fundamentally change how it,453.66,3.06
190
+ works fine,455.28,3.18
191
+ um but I got tired of people messing up,456.72,3.36
192
+ my code so I just set it to public,458.46,3.54
193
+ archive and guess what like people you,460.08,3.059
194
+ can still do whatever you want with it,462.0,4.46
195
+ anyways so we're going to use this as a,463.139,5.641
196
+ co-pilot tool because I got frustrated,466.46,5.56
197
+ with GitHub because they're co-pilot uh,468.78,5.58
198
+ customer service whatever documentation,472.02,4.619
199
+ is garbage okay,474.36,5.339
200
+ uh let's see I have um here let's just,476.639,6.481
201
+ write a function that accepts,479.699,4.021
202
+ um,483.12,4.68
203
+ a gigantic string and returns,483.72,5.0
204
+ um,487.8,4.32
205
+ let's see and let's see splits it by,488.72,4.72
206
+ lines,492.12,3.54
207
+ and then chunks,493.44,7.68
208
+ um 100 lines uh together and returns uh,495.66,7.319
209
+ those chunks,501.12,5.4
210
+ as strings so,502.979,4.321
211
+ um,506.52,3.079
212
+ the final result,507.3,4.56
213
+ will be,509.599,4.661
214
+ um a list,511.86,4.08
215
+ of strings,514.26,6.48
216
+ each string represents 100 lines of the,515.94,6.5
217
+ original,520.74,4.8
218
+ okay so this is this is my coding,522.44,5.98
219
+ chatbot assistant that um it uses it,525.54,5.16
220
+ also uses gpt4,528.42,3.96
221
+ um you I I tried it you can actually,530.7,4.259
222
+ switch it to um,532.38,4.74
223
+ oh it's using the old one,534.959,5.161
224
+ hold on now I need to update that,537.12,6.18
225
+ hold on hold on that's the wrong model,540.12,5.58
226
+ coding chatbot assistant see this is,543.3,3.96
227
+ what I mean is someone someone updated,545.7,3.66
228
+ it oh no my local one uses the right one,547.26,3.72
229
+ so someone updated it with the wrong,549.36,3.36
230
+ model and made a bunch of other,550.98,3.96
231
+ assumptions and I was just like no this,552.72,5.76
232
+ is not this is not what I wanted okay,554.94,7.079
233
+ so here we go here's the function python,558.48,6.359
234
+ chunk strings line lines equals split oh,562.019,5.641
235
+ wow I did it in two lines cool,564.839,4.56
236
+ um,567.66,4.76
237
+ this functions first splits the string,569.399,6.841
238
+ into lines using the delimiter then it,572.42,7.08
239
+ uses a list,576.24,5.099
240
+ comprehension to create chunks of 100,579.5,5.38
241
+ lines each the range yep the result is a,581.339,5.161
242
+ list of strings cool,584.88,3.66
243
+ excellent excellent excellent so I'm,586.5,4.38
244
+ going to go ahead and copy this out,588.54,4.26
245
+ oh and another good thing is that uh,590.88,5.639
246
+ like well yeah you see how it works all,592.8,7.08
247
+ right so we'll go ahead and,596.519,6.601
248
+ do that so chunk strings so first we,599.88,5.04
249
+ want to just um,603.12,4.38
250
+ act equals,604.92,5.039
251
+ open file and I've got it named as,607.5,4.56
252
+ act.txt,609.959,4.94
253
+ just right here,612.06,2.839
254
+ um yep,614.94,5.76
255
+ oh and also this uh excuse me this this,616.2,7.079
256
+ uses a scratch Pad so what I can do is I,620.7,4.139
257
+ can actually populate the code that I'm,623.279,5.041
258
+ working on uh,624.839,5.041
259
+ over here,628.32,3.66
260
+ so now it's aware of what I'm working on,629.88,4.74
261
+ so this scratch Pad is a holdout so,631.98,4.32
262
+ rather than giving it the code in,634.62,4.68
263
+ sequence the the coding chat bot,636.3,4.44
264
+ actually has,639.3,4.68
265
+ a uh it has here let me show you the,640.74,4.86
266
+ system message so here's the,643.98,2.94
267
+ instructions your python coding,645.6,3.84
268
+ assistant let me turn on word wrap your,646.92,4.8
269
+ python coding assistant etc etc scratch,649.44,4.26
270
+ Pad so basically tells you the scratch,651.72,4.559
271
+ Pad is usable you know so that you know,653.7,4.259
272
+ what the user is working on,656.279,3.06
273
+ um so that you can talk about this and,657.959,3.781
274
+ this is passed to the chat bot every,659.339,5.101
275
+ time so whatever the conversation is,661.74,5.94
276
+ like that that is in the past,664.44,4.44
277
+ um I don't know if I'm explaining that,667.68,3.54
278
+ well anyways point being is that it see,668.88,3.959
279
+ it can see the code that you're working,671.22,5.359
280
+ on as long as you keep this updated,672.839,3.74
281
+ um okay,677.1,3.96
282
+ so that's the first hundred lines,678.0,5.22
283
+ um let's go ahead and,681.06,5.1
284
+ see where did it go step one simplify,683.22,5.58
285
+ um cool so act equals that and then,686.16,6.239
286
+ we'll say chunks equals uh let's see,688.8,5.159
287
+ chunk string,692.399,5.161
288
+ chunk string act all right so this this,693.959,5.701
289
+ basically creates the chunks that we're,697.56,4.2
290
+ going to be working on,699.66,2.76
291
+ um,701.76,3.48
292
+ and that is that,702.42,5.22
293
+ let's see I'm gonna need to watch this,705.24,4.26
294
+ because,707.64,3.24
295
+ um well here let me just show you,709.5,2.88
296
+ something real quick so the first,710.88,3.48
297
+ hundred lines,712.38,5.579
298
+ if we take that over to,714.36,5.76
299
+ playground and,717.959,4.681
300
+ paste it in here you see that 100 lines,720.12,5.82
301
+ is about four thousand tokens so that,722.64,4.98
302
+ would obviously be too big for text,725.94,6.54
303
+ davinci03 but with with gpt4 we have 8,727.62,7.92
304
+ 000 tokens and then with 3.5 16k we have,732.48,5.22
305
+ 16 000 tokens so we could actually,735.54,4.979
306
+ probably do more but the thing is is,737.7,6.54
307
+ that again 3.5 turbo is actually you,740.519,5.641
308
+ know what let's try it real quick heck,744.24,4.86
309
+ with it heck with it while we're here,746.16,5.64
310
+ let's go back over to chat,749.1,4.799
311
+ let's give it,751.8,3.659
312
+ this chunk,753.899,3.481
313
+ because if it can if I can do it faster,755.459,5.461
314
+ and cheaper why not why not,757.38,5.399
315
+ um and then we need this is our system,760.92,4.08
316
+ message we need to make sure that we're,762.779,7.141
317
+ going to use 3.5 turbo 16k so that it's,765.0,6.3
318
+ got enough space,769.92,3.719
319
+ okay turn the temperature down we do not,771.3,4.14
320
+ want you to be creative thank you very,773.639,3.241
321
+ much,775.44,3.48
322
+ um all right and then let's see how well,776.88,5.0
323
+ it summarizes it,778.92,2.96
324
+ um yeah so it's not this summarization,782.1,7.4
325
+ is not nearly as elegant or as concise,784.8,4.7
326
+ um but just glancing at it it's okay,789.839,6.24
327
+ I think I'm gonna stick with with four,794.579,4.081
328
+ but I'm glad I did this side by side so,796.079,5.281
329
+ the the the gpt4 it's a much more,798.66,5.7
330
+ elegant summary and it's also less wordy,801.36,4.86
331
+ even though so it's not quite as fast,804.36,4.62
332
+ and it's not quite as cheap because we,806.22,4.14
333
+ need to capture the essence of something,808.98,3.299
334
+ that's really important let's use the,810.36,3.3
335
+ smarter model,812.279,4.321
336
+ uh now that being said again 3.5 turbo,813.66,7.14
337
+ uh the the June 13th one plenty plenty,816.6,6.479
338
+ good for a lot of things,820.8,4.86
339
+ Okay cool so I'm glad I ran that test,823.079,4.861
340
+ where are we what am I doing,825.66,4.2
341
+ I don't know I'm lost,827.94,3.78
342
+ I'm always lost,829.86,4.56
343
+ there's this meme it's like a pug in a,831.72,5.7
344
+ field with a wizard hat and it says the,834.42,5.159
345
+ the the meme is like not all who wander,837.42,6.06
346
+ are lost except Dave is lost as and,839.579,5.94
347
+ that's me I am the pug with a wizard hat,843.48,4.26
348
+ does that make any sense I need more,845.519,3.961
349
+ coffee,847.74,3.899
350
+ oh,849.48,3.78
351
+ okay all right I hope you find this,851.639,3.121
352
+ entertaining because I just woke up and,853.26,2.94
353
+ I was like my brain's like hey we should,854.76,3.36
354
+ work on this,856.2,4.02
355
+ all right now we're back here all right,858.12,4.14
356
+ we've got our chunks so now what we need,860.22,3.9
357
+ to do so this is this is where it gets,862.26,4.5
358
+ fun so uh,864.12,6.06
359
+ four Chunk in chunks this is super,866.76,5.94
360
+ straightforward uh let's see,870.18,4.5
361
+ um messages,872.7,6.42
362
+ equals uh this is going to be a list and,874.68,6.24
363
+ then the,879.12,5.64
364
+ um roll will be whoops,880.92,5.34
365
+ user,884.76,4.879
366
+ and the content,886.26,3.379
367
+ wow I know how to type I promise it's,890.399,5.521
368
+ just getting it from my head to the to,893.459,4.081
369
+ the hands on the keyboard to the screen,895.92,4.44
370
+ that's too many steps right now,897.54,6.18
371
+ content equals chunk okay cool,900.36,5.279
372
+ so basically what we're doing right here,903.72,4.32
373
+ is we're setting it up to look exactly,905.639,5.341
374
+ like this so I'm I'm putting the Chunk,908.04,4.739
375
+ in here and then we also need to load,910.98,3.659
376
+ the system message so what we're going,912.779,3.3
377
+ to do is we're going to do,914.639,5.521
378
+ um system equals open file uh system,916.079,6.901
379
+ underscore summarize so this is this is,920.16,4.619
380
+ the instructions,922.98,3.299
381
+ um dot text,924.779,3.36
382
+ so system message is the new prompt,926.279,3.18
383
+ engineering,928.139,4.26
384
+ um all right cool so then we'll do uh,929.459,5.301
385
+ roll,932.399,2.361
386
+ system,935.16,5.119
387
+ and content,938.04,5.039
388
+ is system,940.279,4.481
389
+ all right so now we're ready to pass it,943.079,4.56
390
+ up to our model right here so then we'll,944.76,6.78
391
+ just do response equals chat bot,947.639,5.221
392
+ messages,951.54,3.9
393
+ ta-da as that simple,952.86,4.74
394
+ um so it's ready and so this response is,955.44,4.38
395
+ going to be the summary,957.6,4.2
396
+ and so now I need to figure out how I,959.82,4.139
397
+ want to save this save these summaries,961.8,5.099
398
+ out in a way that makes sense,963.959,4.44
399
+ um,966.899,4.401
400
+ let's see,968.399,2.901
401
+ let me ask my chatbot assistant okay,973.079,4.021
402
+ cool,975.24,5.94
403
+ great uh now I want to pass a list of,977.1,8.099
404
+ strings to a function and have that,981.18,9.839
405
+ function save them to a specified folder,985.199,7.58
406
+ as a parameter,991.019,8.541
407
+ and I want it to serialize those files,992.779,10.06
408
+ like so,999.56,5.219
409
+ um so it'll be like,1002.839,6.901
410
+ file001 dot text file zero zero zero two,1004.779,7.901
411
+ dot text and so on,1009.74,3.719
412
+ um,1012.68,5.459
413
+ let's see you should see the script I'm,1013.459,8.481
414
+ working on all right cool,1018.139,3.801
415
+ so then we're gonna we're gonna have um,1022.339,6.84
416
+ summaries equals list and then summaries,1025.339,6.141
417
+ dot append,1029.179,4.981
418
+ response so now basically we're gonna,1031.48,5.26
419
+ have the summaries all in order and what,1034.16,3.72
420
+ I'm going to do is I'm going to copy and,1036.74,3.599
421
+ paste this into my scratch Pad so that,1037.88,3.959
422
+ the chat bot knows what I'm working on,1040.339,3.781
423
+ and I'll show you how that it says oh,1041.839,5.58
424
+ okay cool I probably should have told it,1044.12,4.5
425
+ that I'm going to do that with the,1047.419,2.76
426
+ summaries it's usually pretty good at,1048.62,4.2
427
+ making the inference okay cool,1050.179,7.201
428
+ um let's see def save strings if OS path,1052.82,6.599
429
+ exists or if it doesn't exist make it,1057.38,3.96
430
+ otherwise enumerate strings,1059.419,4.021
431
+ so as long as I've been using python I'm,1061.34,4.5
432
+ not entirely sure how enumerate Works,1063.44,5.18
433
+ maybe I should ask,1065.84,2.78
434
+ all right but let's go over here,1068.72,6.86
435
+ let's go back to my script,1072.14,3.44
436
+ save strings cool,1077.66,4.08
437
+ um,1080.6,6.06
438
+ file I 05 interesting,1081.74,6.299
439
+ yeah see I'm not even sure how that,1086.66,2.759
440
+ works,1088.039,3.061
441
+ fantastic let's see if it let's see if,1089.419,3.721
442
+ it works though,1091.1,4.199
443
+ um the function first checks that the,1093.14,4.62
444
+ specified folder exists excellent then,1095.299,5.521
445
+ it uses it to make it then then iterates,1097.76,4.62
446
+ over the list of strings using enumerate,1100.82,3.599
447
+ which provides both the index and the,1102.38,3.659
448
+ value oh okay so that's what enumerate,1104.419,3.781
449
+ does the index is used to generate the,1106.039,6.181
450
+ file name with I colon 05 in the F,1108.2,6.06
451
+ string ensuring that the index is zero,1112.22,6.0
452
+ padded to five digits well that was easy,1114.26,5.52
453
+ cool,1118.22,3.3
454
+ um right and then it uses the right,1119.78,2.72
455
+ method,1121.52,6.0
456
+ uh yeah so instead,1122.5,6.82
457
+ um I want I was hoping it would use my,1127.52,4.86
458
+ save file but that's fine,1129.32,6.719
459
+ um so let's go to here and we're gonna,1132.38,6.84
460
+ do summaries,1136.039,5.161
461
+ and so instead,1139.22,4.5
462
+ we're going to assume that that is,1141.2,4.5
463
+ already there,1143.72,5.959
464
+ and then we are going to do,1145.7,8.599
465
+ file path equals,1149.679,4.62
466
+ um,1156.08,2.12
467
+ OS path join folder,1158.24,6.679
468
+ yeah that works,1161.66,3.259
469
+ and then,1173.12,4.74
470
+ we are going to do,1175.88,4.44
471
+ save file because this so my save file,1177.86,3.72
472
+ function,1180.32,4.68
473
+ um encodes it in utf-8 so just reuse,1181.58,5.219
474
+ something rather than do it here because,1185.0,4.32
475
+ you see this doesn't do it in utf-8 you,1186.799,3.541
476
+ want to make sure that you have a nice,1189.32,2.219
477
+ standardized thing that's what I'm doing,1190.34,2.52
478
+ here,1191.539,5.581
479
+ file path and S so that should be good,1192.86,7.86
480
+ fine all right so save strings,1197.12,7.679
481
+ um so then we do save strings uh we'll,1200.72,5.1
482
+ do,1204.799,2.76
483
+ summaries,1205.82,5.04
484
+ no I need to do yes summaries,1207.559,5.881
485
+ and then summaries,1210.86,5.1
486
+ and that should work uh now that being,1213.44,4.92
487
+ said I want to print the response as I,1215.96,4.76
488
+ get them,1218.36,2.36
489
+ um there we go and then,1222.74,3.26
490
+ response,1226.22,4.62
491
+ all right let's give this a whirl and,1228.2,5.58
492
+ see if it works,1230.84,6.9
493
+ CD what is this EU AI Act,1233.78,6.54
494
+ let's zoom in a little bit,1237.74,6.26
495
+ python stepo one,1240.32,3.68
496
+ so this will probably take a while,1245.72,4.86
497
+ because we've got three thousand line 3,1247.1,7.04
498
+ 300 lines there we go cool,1250.58,3.56
499
+ hmm,1254.36,4.86
500
+ hold on oh right right right,1255.679,5.941
501
+ forgot about this okay so this is an,1259.22,3.72
502
+ important thing,1261.62,3.12
503
+ um what I started doing and I forgot to,1262.94,3.9
504
+ integrate this so what I started doing,1264.74,4.92
505
+ is I when I whenever I called a chat bot,1266.84,5.76
506
+ I return the text and the token use,1269.66,4.08
507
+ um so because this is actually really,1272.6,2.699
508
+ helpful if you just go ahead and return,1273.74,4.14
509
+ the tokens so that you know when to,1275.299,5.401
510
+ summarize it so instead what I need to,1277.88,5.64
511
+ do is response tokens,1280.7,4.08
512
+ um because I don't need to save I don't,1283.52,4.26
513
+ need to save a tuple out here,1284.78,5.639
514
+ but this otherwise looks good,1287.78,5.7
515
+ and then what I'm going to do is I'm,1290.419,5.301
516
+ going to go grab,1293.48,4.86
517
+ uh something to make the the printout,1295.72,5.199
518
+ look a little bit better,1298.34,4.64
519
+ um,1300.919,2.061
520
+ reflective journaling tool this one has,1303.5,5.88
521
+ this one has good pretty output,1306.02,7.58
522
+ so we're going to do formatted lines,1309.38,4.22
523
+ yep,1316.64,6.32
524
+ so take the formatted lines here,1318.86,4.1
525
+ and then we'll do,1328.58,5.339
526
+ rent do I knew my new line,1330.32,7.82
527
+ and formatted lines,1333.919,4.221
528
+ all right so that will that'll make it,1339.44,4.02
529
+ that'll make it prettier and then we'll,1341.299,3.961
530
+ also use,1343.46,3.3
531
+ um so this this is this is why I,1345.26,3.36
532
+ appreciate when people,1346.76,5.399
533
+ um uh add feedback is we added uh,1348.62,6.059
534
+ someone added the Halo which is a little,1352.159,5.161
535
+ like thing that shows that it's thinking,1354.679,4.201
536
+ so I'm going to add that real quick as,1357.32,3.739
537
+ well,1358.88,2.179
538
+ and the way that you use that is down,1362.96,5.12
539
+ here,1365.659,2.421
540
+ and so once once this is running I'll,1374.72,2.88
541
+ pause the video so you don't have to,1376.52,2.159
542
+ watch the whole thing so you're actually,1377.6,3.54
543
+ probably closer to the end if I had to,1378.679,4.581
544
+ guess,1381.14,2.12
545
+ oops spinner start,1386.12,3.32
546
+ so we'll say summarizing next chunk,1391.4,4.94
547
+ and then spinner stop,1398.36,3.02
548
+ okay so let's try this make sure it,1405.14,4.34
549
+ works,1407.12,2.36
550
+ summarizing next chunk hey look now it,1412.46,4.44
551
+ gives us some output better user,1414.74,4.74
552
+ experience it tells me what it's doing,1416.9,6.32
553
+ uh text wrap is not defined whoops,1419.48,5.579
554
+ what do you mean I need to import,1423.22,5.74
555
+ everything that you use import text wrap,1425.059,5.821
556
+ let's try that again,1428.96,3.959
557
+ third time's a charm all right and if,1430.88,3.48
558
+ this works then I'll go ahead and pause,1432.919,2.88
559
+ it and then we'll come back once the,1434.36,3.42
560
+ whole video is or once the whole thing,1435.799,3.061
561
+ is done,1437.78,2.779
562
+ uh why is it,1438.86,6.0
563
+ in hold on hold on that's not right,1440.559,7.061
564
+ why are you giving me this garbage,1444.86,6.02
565
+ that's not correct,1447.62,3.26
566
+ oh right I need to print out formatted,1452.6,5.9
567
+ text my bad,1455.059,3.441
568
+ don't give me this nonsense,1461.179,3.5
569
+ because basically what you want to do is,1464.96,3.599
570
+ you want to have it formatted in such a,1466.88,3.48
571
+ way there we go see so now we have this,1468.559,4.321
572
+ nice little Block it's easier to read,1470.36,3.72
573
+ um all right cool so this is working,1472.88,2.7
574
+ we'll watch it just a couple times you,1474.08,4.44
575
+ see how fast it is uh the the June 13th,1475.58,6.24
576
+ update is much much faster,1478.52,5.279
577
+ um let's see,1481.82,5.219
578
+ excellent excellent excellent so we will,1483.799,4.981
579
+ I'm gonna pause the video and we'll come,1487.039,4.921
580
+ back and uh and take a look at the final,1488.78,5.96
581
+ result cheers,1491.96,2.78
582
+ okay and we're back,1495.32,5.4
583
+ so after uh running it all here let me,1497.6,4.079
584
+ just show you what the results were,1500.72,2.939
585
+ we've got,1501.679,4.74
586
+ 37 files,1503.659,5.64
587
+ um each with a summary and I wrote a,1506.419,4.26
588
+ really quick I hacked together a really,1509.299,4.321
589
+ quick script that uh merged them all and,1510.679,5.161
590
+ so the merged result is thirty four,1513.62,4.559
591
+ thousand uh characters long so we,1515.84,5.52
592
+ reduced it by a factor of ten to one uh,1518.179,5.521
593
+ just just shy of ten to one which when,1521.36,4.679
594
+ you plug that in over here that's six,1523.7,5.28
595
+ thousand tokens so we went from from,1526.039,4.561
596
+ sixty thousand or seventy thousand,1528.98,3.24
597
+ tokens I don't remember exactly to six,1530.6,3.66
598
+ thousand tokens one of the reasons that,1532.22,4.74
599
+ we had a more drastic reduction of token,1534.26,5.159
600
+ count is because we removed all the,1536.96,4.319
601
+ serial numbers and stuff because that's,1539.419,4.441
602
+ kind of Superfluous if you if you remove,1541.279,4.561
603
+ symbols and stuff like this these are,1543.86,4.62
604
+ high token uh things if it's ordinary,1545.84,5.64
605
+ words like Ai and each system these are,1548.48,6.12
606
+ easy for the model to tokenize so that,1551.48,5.46
607
+ means what we can do now is we can just,1554.6,3.959
608
+ take this whole thing,1556.94,5.82
609
+ and come over to chat and say um let's,1558.559,5.22
610
+ see,1562.76,6.72
611
+ uh uh main purpose uh here darn it,1563.779,9.421
612
+ believe that you are a uh chat bot,1569.48,7.22
613
+ tasked with uh discussing,1573.2,8.459
614
+ uh the following uh legislation with the,1576.7,7.24
615
+ user uh,1581.659,5.581
616
+ make sure to well hell that I mean,1583.94,5.839
617
+ that's all it is uh,1587.24,5.84
618
+ use the legislation,1589.779,7.061
619
+ summary below to conduct the,1593.08,4.839
620
+ conversation,1596.84,4.219
621
+ and that's it and so then we say uh,1597.919,6.0
622
+ legislation summary,1601.059,5.261
623
+ and we'll copy paste it here,1603.919,5.221
624
+ and so then we move over to we could do,1606.32,5.7
625
+ 16k because that'll be that'll be faster,1609.14,4.08
626
+ um actually here let's try that real,1612.02,3.18
627
+ quick let's try that temperature there,1613.22,4.559
628
+ okay,1615.2,6.479
629
+ um give me a high level overview of this,1617.779,7.581
630
+ uh legislation,1621.679,3.681
631
+ after five years,1628.9,5.92
632
+ um how is it funded,1631.4,4.519
633
+ foreign,1634.82,3.0
634
+ let's see the funding and the,1635.919,3.581
635
+ implementation of this legislation comes,1637.82,2.7
636
+ from the multi-annual financial,1639.5,3.48
637
+ framework uh blah blah blah blah the,1640.52,4.019
638
+ financial impact includes allocation of,1642.98,3.42
639
+ resources,1644.539,4.561
640
+ um and having watch that go through how,1646.4,3.48
641
+ many,1649.1,1.64
642
+ um,1649.88,2.58
643
+ employees,1650.74,4.74
644
+ will it cost,1652.46,3.02
645
+ there we go 10 full-time equivalent,1656.299,3.781
646
+ employees,1658.22,5.939
647
+ all right so we can clear that out,1660.08,6.18
648
+ uh just because it ultimately is,1664.159,4.861
649
+ Superfluous so some of the questions,1666.26,5.899
650
+ um uh let's see will this legislation,1669.02,8.539
651
+ hamper research and innovation,1672.159,5.4
652
+ let's see the legislation aims to,1678.44,3.78
653
+ balance the benefits of AI research and,1680.659,2.88
654
+ Innovation with the need for safety and,1682.22,2.939
655
+ respect for fundamental rights it,1683.539,3.12
656
+ includes measures to support Innovation,1685.159,4.14
657
+ such as AI regulatory sandboxes and,1686.659,4.741
658
+ reducing the regulatory burden on smes,1689.299,4.5
659
+ and startups so that smes are going to,1691.4,4.08
660
+ be subject matter experts like you and I,1693.799,3.541
661
+ as well as startups,1695.48,3.78
662
+ the goal is to provide legal certainty,1697.34,3.959
663
+ and prevent Market fragmentation which,1699.26,4.26
664
+ can actually Foster Innovation by,1701.299,3.721
665
+ creating a Level Playing Field for AI,1703.52,3.0
666
+ developers however it imposes certain,1705.02,3.48
667
+ requirements and obligations on,1706.52,3.72
668
+ high-risk AI,1708.5,5.659
669
+ um how does this legislation Define,1710.24,7.88
670
+ higher risk AI,1714.159,3.961
671
+ uh let's see the this legislation,1719.62,5.38
672
+ categorizes AI systems into three risk,1722.179,4.74
673
+ levels unacceptable high and low or,1725.0,4.559
674
+ minimal high risk AI is based on their,1726.919,4.801
675
+ intended purpose and usage while the,1729.559,4.141
676
+ specific criteria may vary high risk AI,1731.72,4.079
677
+ generally include those use the safety,1733.7,3.599
678
+ components of products covered by Union,1735.799,4.38
679
+ harmonization legislation as well as AI,1737.299,4.141
680
+ used in critical infrastructure,1740.179,3.0
681
+ management education vocational training,1741.44,4.38
682
+ employment and workers management these,1743.179,4.201
683
+ high-risk AI systems are subject to,1745.82,3.0
684
+ requirements,1747.38,2.34
685
+ um,1748.82,2.88
686
+ what are unacceptable,1749.72,4.98
687
+ types,1751.7,3.0
688
+ the legislation prohibits certain AI,1755.12,3.299
689
+ practices that are considered,1757.34,3.059
690
+ unacceptable due to their potential to,1758.419,4.441
691
+ violate fundamental rights while the,1760.399,4.16
692
+ specific types may vary some examples,1762.86,4.439
693
+ include manipulate human behavior,1764.559,4.6
694
+ exploit vulnerabilities or enable social,1767.299,4.021
695
+ scoring by public authorities right so,1769.159,4.5
696
+ as I mentioned uh social credit system,1771.32,4.94
697
+ these practices are deemed harmful,1773.659,5.64
698
+ Freedom dignity democracy quality and,1776.26,4.919
699
+ fundamental rights okay cool,1779.299,5.901
700
+ does this legislation address,1781.179,7.961
701
+ existential risk at all,1785.2,9.54
702
+ um does it address autonomous AI,1789.14,5.6
703
+ the legislation does not explicitly,1795.02,4.32
704
+ address existential risk or autonomous,1797.299,6.781
705
+ AI systems wow okay now one thing that I,1799.34,6.42
706
+ will say is that if you look at the,1804.08,3.92
707
+ legislation it does talk about like,1805.76,5.46
708
+ basically human supervision,1808.0,6.94
709
+ um yeah so like AI regulatory sandbox by,1811.22,7.92
710
+ one or more member stages no like here,1814.94,6.839
711
+ um it where was it it talked about not,1819.14,5.1
712
+ supervision of the sandboxes but like AI,1821.779,4.38
713
+ systems basically need to be steerable,1824.24,3.9
714
+ it's in there somewhere,1826.159,5.88
715
+ um okay but let's see it does not,1828.14,5.34
716
+ specifically address a potential risk,1832.039,2.88
717
+ associated with highly autonomous or,1833.48,3.24
718
+ super intelligent AI systems that could,1834.919,3.36
719
+ pose existential threats however the,1836.72,3.059
720
+ legislation's emphasis on risk,1838.279,3.301
721
+ management human oversight oh that's,1839.779,3.181
722
+ what it was oversight not supervision,1841.58,3.0
723
+ and robustness requirements for,1842.96,3.5
724
+ high-risk AI systems indirectly,1844.58,3.839
725
+ contributes to addressing the safety,1846.46,3.88
726
+ concerns associated with AI Technologies,1848.419,4.14
727
+ it is important to note that addressing,1850.34,3.959
728
+ existential risks related to AI may,1852.559,3.6
729
+ require further research discussions on,1854.299,3.6
730
+ potentially additional regular,1856.159,4.921
731
+ regulations in the future okay cool,1857.899,6.541
732
+ so there you have it this file is saved,1861.08,6.24
733
+ as merged.txt,1864.44,4.88
734
+ um,1867.32,2.0
735
+ let me go ahead and send that up to git,1869.96,5.4
736
+ so you can all use it uh let's see get,1872.6,8.059
737
+ status get add get commit am all done,1875.36,8.28
738
+ get push all right so there you have it,1880.659,6.88
739
+ you have a uh a much much condensed,1883.64,7.38
740
+ version of of the EU act here and merged,1887.539,6.301
741
+ you can plug it into the playground and,1891.02,5.519
742
+ ask questions to your heart's content if,1893.84,4.5
743
+ you have access to it but otherwise you,1896.539,4.02
744
+ can at least just read it here,1898.34,3.42
745
+ um yeah I think we're all done thanks,1900.559,3.681
746
+ for watching,1901.76,2.48
Introducing AutoMuse ChatGPT Working on Temporal Hierarchical Memories for AGI ACE systems_transcript.csv ADDED
@@ -0,0 +1,515 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everyone David Shapiro here with an,0.539,3.601
3
+ update,2.94,3.18
4
+ um so before we get started I will plug,4.14,5.039
5
+ my patreon this will take just a second,6.12,5.58
6
+ um I'm able to do AI full time because,9.179,4.92
7
+ of the support that I get on patreon so,11.7,4.08
8
+ if you uh want to support me jump over,14.099,4.02
9
+ support me on patreon also if you want,15.78,4.68
10
+ any direct help if you sign up for the,18.119,5.58
11
+ higher tiers on patreon I am happy to,20.46,5.579
12
+ jump in and give you advice or help you,23.699,4.561
13
+ solve problems and this goes as far as,26.039,4.441
14
+ looking at your fine tuning data talking,28.26,4.139
15
+ about architecture and solving whatever,30.48,4.14
16
+ other problems you have,32.399,4.801
17
+ um okay so that's it for patreon second,34.62,3.72
18
+ is,37.2,4.74
19
+ um I want to uh plug the r artificial,38.34,5.879
20
+ sentience subreddit so this is a,41.94,4.38
21
+ subreddit that I and a few other,44.219,3.481
22
+ um thought leaders on cognitive,46.32,3.96
23
+ architecture created,47.7,4.199
24
+ um and it's not my subreddit,50.28,3.48
25
+ specifically someone else created it I'm,51.899,4.561
26
+ just a member but the primary thing is,53.76,4.74
27
+ creating autonomous cognitive entities,56.46,3.9
28
+ we would have picked that but that is,58.5,4.079
29
+ too long of a subreddit title so we have,60.36,4.32
30
+ artificial sentience,62.579,3.621
31
+ um jump in over here talk about,64.68,3.9
32
+ artificial cognitive entities artificial,66.2,4.66
33
+ sentience and so on,68.58,5.219
34
+ um next update is uh for the Raven,70.86,5.04
35
+ project so I posted an update I pinned,73.799,3.36
36
+ it here,75.9,4.14
37
+ um the the tldr is that like I'm super,77.159,4.081
38
+ burned out,80.04,4.14
39
+ um and so I am slowing down that being,81.24,4.08
40
+ said,84.18,3.36
41
+ um you know this this project has almost,85.32,4.92
42
+ 700 stars and there's a huge amount of,87.54,5.52
43
+ Interest both in AGI today uh in,90.24,5.46
44
+ cognitive architecture and also keeping,93.06,6.599
45
+ it open source uh specifically so,95.7,6.54
46
+ um if you want to jump in uh jump in,99.659,4.801
47
+ here we're still getting organized we're,102.24,4.98
48
+ figuring out a consensus policy and I'm,104.46,4.32
49
+ hoping that with the correct consensus,107.22,3.48
50
+ policy it will be more distributed and,108.78,4.08
51
+ more participatory,110.7,4.559
52
+ um so you know it is slow that's part of,112.86,5.34
53
+ the design though now finally to the,115.259,5.4
54
+ topic of today's video if you're a chat,118.2,4.62
55
+ GPT user you have probably been,120.659,3.721
56
+ frustrated over the last few days,122.82,4.56
57
+ because all your chats are gone,124.38,6.84
58
+ and what I realized is that uh this is,127.38,5.82
59
+ really unfortunate because I've been,131.22,5.58
60
+ working on my novel and I use it um I,133.2,5.82
61
+ create a new chat every time I'm working,136.8,4.38
62
+ on a new chapter and what I do is I go,139.02,3.84
63
+ back to the old chapters and say write,141.18,4.559
64
+ an executive summary of this chapter and,142.86,4.5
65
+ then I can just use that to quickly copy,145.739,4.981
66
+ paste it into an into a new chat,147.36,5.34
67
+ um so that the uh the new chat can help,150.72,4.86
68
+ me it's caught up on the story and goes,152.7,4.679
69
+ right along but I'm like okay I can,155.58,4.26
70
+ automate that it's the same uh set of,157.379,5.58
71
+ procedures every time I use an executive,159.84,5.22
72
+ summary so that it knows about the,162.959,3.601
73
+ characters and the story and so on and,165.06,4.08
74
+ I'm like why don't I just go ahead and,166.56,5.16
75
+ work on this,169.14,6.36
76
+ um uh offline right I can I can manage,171.72,6.42
77
+ my own files and if you watched uh my my,175.5,4.379
78
+ next most recent video you know that I'm,178.14,5.7
79
+ working on a QA chat bot and so these,179.879,6.121
80
+ actually have a lot in common it has to,183.84,4.44
81
+ deal with organizing an arbitrarily,186.0,4.62
82
+ large amount of data a large Corpus of,188.28,5.16
83
+ data and the QA chatbot case it is,190.62,6.479
84
+ scientific papers in the auto Muse case,193.44,6.2
85
+ the auto Muse chat GPT case it is,197.099,4.681
86
+ organizing a story,199.64,5.08
87
+ and so but because of the similarity,201.78,4.379
88
+ right the the thing that they have in,204.72,4.379
89
+ common is it has to summarize and search,206.159,4.681
90
+ an arbitrarily large amount of memory,209.099,3.601
91
+ and it has to do it automatically in the,210.84,4.02
92
+ background so these these projects are,212.7,3.84
93
+ actually much more similar than you,214.86,3.599
94
+ might think from the perspective of,216.54,5.339
95
+ cognitive architecture so since chat GPT,218.459,5.821
96
+ is down and I can't really use it it's,221.879,3.78
97
+ kind of actually stalled my forward,224.28,3.3
98
+ progress on my novel,225.659,4.14
99
+ so I'm like all right well why don't I,227.58,4.019
100
+ just fix this,229.799,5.281
101
+ um so what I have done is let me just go,231.599,5.341
102
+ ahead and show you the file show you the,235.08,4.26
103
+ repo so here is the um here's what I'm,236.94,4.5
104
+ working on with the auto Muse chat GPT,239.34,4.58
105
+ project,241.44,2.48
106
+ so you might have remembered that I I,243.959,3.901
107
+ was working on auto Muse a lot last year,245.76,3.72
108
+ and then I stopped because I'm like I,247.86,3.54
109
+ don't want to hurt anybody I don't want,249.48,3.78
110
+ to you know unemploy my friends or,251.4,4.08
111
+ whatever now people are using chat gbt,253.26,4.14
112
+ to write like crazy and it's all garbage,255.48,4.8
113
+ right so or mostly garbage,257.4,4.38
114
+ um so I'm not I'm not worried about that,260.28,4.979
115
+ anymore I you know when when all the,261.78,5.76
116
+ publicate all the all the Publishers are,265.259,4.741
117
+ using AI to detect whether or not it's,267.54,4.56
118
+ written by AI or to detect the quality,270.0,3.96
119
+ speaking of if there are any Publishers,272.1,4.14
120
+ out there and you want to learn how to,273.96,3.66
121
+ use,276.24,5.04
122
+ um AI to to rapidly like,277.62,5.76
123
+ um measure the quality of someone's,281.28,4.74
124
+ fiction let me know,283.38,3.36
125
+ um,286.02,2.58
126
+ because that can help you quickly sift,286.74,4.56
127
+ through sift the uh the the the,288.6,5.28
128
+ um the grain from the chaff,291.3,6.839
129
+ um so anyways point being is there's a,293.88,7.08
130
+ few components of this that are that are,298.139,5.221
131
+ all the same right so you got the the QA,300.96,4.32
132
+ I will be working on this it's been,303.36,3.66
133
+ three days I had I was really tired over,305.28,3.06
134
+ the weekend,307.02,3.179
135
+ um burnout is real,308.34,3.6
136
+ um but I am recovering and everyone has,310.199,3.421
137
+ been very kind about that so I'm I'm,311.94,3.24
138
+ grateful and I said like I need some,313.62,2.94
139
+ time everyone's like take your time,315.18,2.34
140
+ buddy,316.56,3.18
141
+ all right anyways going down a rabbit,317.52,4.92
142
+ hole point being is that these projects,319.74,4.679
143
+ have a lot in common and so what I'm,322.44,4.259
144
+ working on is okay how do I create a,324.419,4.801
145
+ memory system that works for both of,326.699,5.401
146
+ these right because we humans have one,329.22,5.039
147
+ memory system and it works for whatever,332.1,4.02
148
+ task that we're doing whether you're,334.259,4.38
149
+ remembering you know birthdays or how to,336.12,4.919
150
+ do your job or whatever and I okay yes,338.639,5.221
151
+ it's not one memory system we have a,341.039,4.621
152
+ memory operating system you know the,343.86,3.36
153
+ hippocampus and all sorts of other,345.66,3.84
154
+ connections and representations and,347.22,4.74
155
+ abstractions but the point is is that,349.5,5.46
156
+ with the correct format or system of,351.96,5.34
157
+ abstractions and representations you we,354.96,3.66
158
+ should be able to create a memory system,357.3,3.42
159
+ that is good for an arbitrary number of,358.62,5.22
160
+ tasks so back in the day,360.72,5.18
161
+ there was this concept called temporal,363.84,5.34
162
+ hierarchical memory which this was like,365.9,6.4
163
+ back in 2005 I think people thought that,369.18,5.7
164
+ this was going to lead to AGI,372.3,4.86
165
+ um and while it didn't pan out it died,374.88,4.74
166
+ of quick death the concept is still very,377.16,3.96
167
+ helpful and it's actually coming back,379.62,3.66
168
+ with Neuroscience,381.12,4.919
169
+ um and so basically here is a simple,383.28,5.28
170
+ representation of what I mean so we have,386.039,5.1
171
+ all your all your narrative logs right,388.56,5.34
172
+ so you have narrative memory which is,391.139,5.461
173
+ the the the chronologically linear,393.9,5.34
174
+ series of experiences that you have,396.6,4.56
175
+ right and that's you know that's what a,399.24,3.72
176
+ chat log is right it is chronologically,401.16,3.36
177
+ linear,402.96,4.799
178
+ um but one problem with chat GPT is we,404.52,4.739
179
+ have no idea what is going on in the,407.759,4.021
180
+ background one rumor is that it uses a,409.259,4.44
181
+ scratch pad I don't know that that's,411.78,4.139
182
+ panned out someone else told me that all,413.699,4.44
183
+ it does is using uses a rolling window,415.919,5.101
184
+ of 8 000 tokens which a rolling window,418.139,4.861
185
+ of 8 000 tokens that's a lot of text,421.02,5.04
186
+ 8000 tokens is like,423.0,4.56
187
+ um let's see that's about it's like what,426.06,4.8
188
+ 3.6 characters per token on average so,427.56,6.84
189
+ that is over 24 000 characters,430.86,5.58
190
+ um which then you you think that the,434.4,3.72
191
+ average word is five to six characters,436.44,2.819
192
+ long,438.12,3.359
193
+ so we're looking at what can I do math,439.259,4.201
194
+ right now I think that's about 6 000,441.479,5.821
195
+ words so 6 000 words and you know 250,443.46,6.9
196
+ words per page uh so that's uh four,447.3,6.66
197
+ times six so that is 24 pages worth of,450.36,6.059
198
+ text that's a lot of text if that's how,453.96,5.76
199
+ it's working now the chat GPT API,456.419,5.22
200
+ um the in the documentation they say,459.72,3.539
201
+ that you only have four thousand tokens,461.639,3.96
202
+ even still four thousand tokens is 12,463.259,4.921
203
+ Pages you can summarize quite a bit in,465.599,4.681
204
+ 12 pages and this is also going to go up,468.18,4.799
205
+ over time right they're they're doubling,470.28,5.52
206
+ the window size pretty regularly all,472.979,4.741
207
+ right so with all that said,475.8,5.1
208
+ we have a linear chunk of logs and so,477.72,4.74
209
+ what happens sometimes when you're,480.9,3.299
210
+ having conversations is it's like it,482.46,3.42
211
+ gets something wrong and then you,484.199,3.361
212
+ correct it and then you're like no no no,485.88,3.9
213
+ that's not what I wanted and so what I'm,487.56,5.22
214
+ what I'm doing with this is I've got a,489.78,5.4
215
+ few prompts so in a in in a previous,492.78,3.66
216
+ chat,495.18,3.54
217
+ um chat uh bot project here let me bring,496.44,3.9
218
+ that up I'll show you real quick,498.72,2.9
219
+ do,500.34,3.84
220
+ repositories come on,501.62,4.24
221
+ um so in the original,504.18,4.739
222
+ um salience one so this this is this is,505.86,5.519
223
+ the the progenitor work right this is I,508.919,3.961
224
+ probably won't update this because this,511.379,4.561
225
+ repo is just for demonstration purposes,512.88,5.7
226
+ um but it shows you the idea of using,515.94,5.399
227
+ salience to summarize conversations as,518.58,5.579
228
+ well as anticipation to uh predict,521.339,5.221
229
+ what's going forward so salience is,524.159,5.041
230
+ memory and anticipation is going forward,526.56,4.92
231
+ right so that is the beginnings of a,529.2,4.5
232
+ cognitive architecture so then you take,531.48,4.14
233
+ this forward and say okay we have the,533.7,4.199
234
+ same exact uh salience in anticipation,535.62,6.3
235
+ but it is organized around,537.899,6.781
236
+ um writing right so in this case I'm an,541.92,5.34
237
+ AI named Muse my primary goal is to help,544.68,4.02
238
+ the user plan brainstorm outline and,547.26,2.639
239
+ otherwise construct their work of,548.7,3.36
240
+ fiction right so it's got a very clear,549.899,4.141
241
+ goal and I won't show you uh the,552.06,3.66
242
+ conversation I had because it's you know,554.04,4.38
243
+ it's private I'm working on my own story,555.72,4.98
244
+ um but having setting the decision the,558.42,4.56
245
+ the system go to this and then updating,560.7,4.319
246
+ it with the salience and the,562.98,3.299
247
+ anticipation,565.019,4.561
248
+ it is if all you do is just run this as,566.279,6.0
249
+ it is right now you will find that it is,569.58,4.92
250
+ very very helpful much more helpful than,572.279,4.261
251
+ than the plain vanilla,574.5,4.26
252
+ um chat GPT at helping you plan your,576.54,4.38
253
+ story and in fact,578.76,5.1
254
+ um it is so good that you like man it,580.92,5.099
255
+ won't need much help in terms of cueing,583.86,4.32
256
+ up the correct memories in order to make,586.019,5.88
257
+ it even better now all that being said,588.18,7.38
258
+ uh you have a a an arbitrarily long chat,591.899,5.761
259
+ log right because writing a novel takes,595.56,3.719
260
+ a long time,597.66,2.94
261
+ um and it's going to be way more,599.279,3.321
262
+ information even just you know,600.6,3.84
263
+ brainstorming and stuff right because,602.6,3.28
264
+ what happens when you're brainstorming,604.44,4.32
265
+ you have uh false positives right you,605.88,4.38
266
+ have things that you change things that,608.76,2.94
267
+ you say no I'm not gonna I'm not gonna,610.26,4.259
268
+ go that way so on and so forth and so,611.7,5.94
269
+ what happens is it a chat log is,614.519,4.921
270
+ basically like a transaction log so if,617.64,3.54
271
+ you're familiar with like SQL databases,619.44,4.2
272
+ a transaction log tracks all the changes,621.18,5.279
273
+ in the database but it builds on one,623.64,4.92
274
+ another right they're all sequential and,626.459,4.201
275
+ so we have to keep track of that in,628.56,4.98
276
+ chronological order so the the next step,630.66,5.28
277
+ is to summarize chunks of the,633.54,4.859
278
+ conversation as concisely as possible,635.94,4.62
279
+ while extracting the most Salient bits,638.399,3.961
280
+ and so that's where these two new,640.56,4.08
281
+ prompts come in so I have write an,642.36,4.8
282
+ executive summary so it's as simple as,644.64,4.379
283
+ it says write an executive summary of,647.16,3.48
284
+ the following chat log executive summary,649.019,4.741
285
+ so this writes a very concise just,650.64,5.04
286
+ here's here's a narrative sequence of,653.76,4.259
287
+ what happened and so this allows it to,655.68,4.56
288
+ keep track of okay this is this is how,658.019,4.801
289
+ the conversation has gone with while,660.24,4.86
290
+ excluding a lot of the irrelevant,662.82,5.34
291
+ details and then secondly story details,665.1,4.739
292
+ so write a summary of what we learn,668.16,3.119
293
+ about the story from the following chat,669.839,5.401
294
+ log now this should be in the long run,671.279,7.381
295
+ this prompt won't work for other tasks,675.24,5.76
296
+ right this is this is hard-coded this is,678.66,4.32
297
+ geared towards writing fiction because,681.0,4.2
298
+ it says specifically,682.98,4.799
299
+ extract information about the story in,685.2,4.139
300
+ the future the cognitive architecture,687.779,4.5
301
+ should design this task or or do task,689.339,5.94
302
+ selection to figure out what exactly is,692.279,5.101
303
+ most relevant to summarize that being,695.279,4.921
304
+ said because Auto Muse is purpose built,697.38,4.92
305
+ for fiction we can go ahead and hard,700.2,3.3
306
+ code it,702.3,3.659
307
+ um but what this does is it ignores the,703.5,3.66
308
+ conversation,705.959,3.12
309
+ and just says what do we know about the,707.16,2.76
310
+ story,709.079,3.121
311
+ and I tested this out and it actually,709.92,4.56
312
+ works really well so like you can take a,712.2,4.74
313
+ long conversation that's 2 000 tokens,714.48,4.68
314
+ long and you end up with a 200 token,716.94,4.019
315
+ summary of what you learn about the,719.16,2.7
316
+ story,720.959,3.601
317
+ so that those those summaries the,721.86,4.02
318
+ executive summary and the story,724.56,3.42
319
+ extraction those are going to be,725.88,4.5
320
+ summarized in these chunks right and so,727.98,4.32
321
+ you get a 10 to 1 reduction in terms of,730.38,3.48
322
+ files because that's how I've got it set,732.3,4.5
323
+ right now where every time you get to a,733.86,5.4
324
+ 10 dialogues back and forth and this is,736.8,4.8
325
+ an arbitrary number in fact I should,739.26,3.54
326
+ probably,741.6,2.46
327
+ um just have this as the the,742.8,3.0
328
+ conversation length,744.06,3.24
329
+ um I should parameterize that but,745.8,4.44
330
+ anyways 10 is fine because you don't,747.3,4.68
331
+ want to go right up to the to the window,750.24,4.32
332
+ limit because one you don't know how,751.98,4.859
333
+ long the conversation is going to be and,754.56,4.62
334
+ two you want to regularly summarize,756.839,3.601
335
+ what's going on,759.18,4.32
336
+ okay so then once we get and this is as,760.44,5.22
337
+ far as I got I tested those prompts and,763.5,4.56
338
+ if you look at the the two Do's,765.66,4.739
339
+ um the the the the very next to do is,768.06,4.68
340
+ I've got to actually populate the chunk,770.399,3.601
341
+ summaries you see there's nothing here,772.74,3.719
342
+ right I've got the chat logs and so now,774.0,4.86
343
+ I need to integrate the summaries and,776.459,4.88
344
+ put those summaries here,778.86,5.46
345
+ and for those I don't know whether or,781.339,4.541
346
+ not I need to use semantic embedding,784.32,5.04
347
+ right because the the the the primary,785.88,5.88
348
+ organization feature here is timestamp,789.36,4.32
349
+ so you see chat underscore timestamp,791.76,5.34
350
+ user Muse user Muse user Muse and so,793.68,5.7
351
+ that is probably all the organization,797.1,4.62
352
+ that I actually really need,799.38,4.62
353
+ um because again with a temporal,801.72,4.08
354
+ hierarchical memory,804.0,4.92
355
+ um uh time is the primary organizing,805.8,5.219
356
+ Factor not semantic search we actually,808.92,3.599
357
+ don't care what's in it semantically,811.019,3.901
358
+ because we're going to algorithmically,812.519,4.861
359
+ just recursively or not recursively but,814.92,5.58
360
+ repeatedly summarize these chat logs so,817.38,4.56
361
+ those are going to end up here in the,820.5,2.7
362
+ chunk summaries,821.94,3.24
363
+ and the chunk summaries are about five,823.2,5.52
364
+ to ten times shorter than the originals,825.18,6.3
365
+ so that that allows us to really kind of,828.72,4.679
366
+ distill down okay what is the most,831.48,3.96
367
+ important information and then we're,833.399,4.081
368
+ going to do another layer above that,835.44,5.22
369
+ which is we're going to extract the,837.48,5.88
370
+ topics from these and then the topics,840.66,4.799
371
+ are not going to be linear right because,843.36,4.979
372
+ you know you think about like okay what,845.459,5.161
373
+ do I know about Abraham Lincoln that is,848.339,4.081
374
+ not anchored to time that is detached,850.62,4.2
375
+ from time now your understanding of,852.42,4.14
376
+ Abraham Lincoln might be updated right,854.82,3.36
377
+ you might have like you can think of it,856.56,3.48
378
+ as an internal Wikipedia page in your,858.18,4.14
379
+ head and so what we'll do is we'll,860.04,4.68
380
+ transition from this temporal,862.32,4.86
381
+ hierarchical part to a more knowledge,864.72,5.28
382
+ graph or topical component and so that,867.18,4.68
383
+ is the third layer of abstraction So,870.0,5.04
384
+ eventually what I want is for an auto,871.86,6.06
385
+ Muse it's going to have a top like the,875.04,5.88
386
+ whoops yeah come back so the primary you,877.92,4.8
387
+ know so the chat logs that is like low,880.92,5.039
388
+ level uh uh raw memories then there's,882.72,5.22
389
+ the chunk summaries which is one layer,885.959,3.5
390
+ above that so you can think of that as,887.94,4.74
391
+ medium term memory and then long-term,889.459,6.221
392
+ memory is going to be this kg model this,892.68,4.92
393
+ knowledge graph model of topics I don't,895.68,3.3
394
+ know that it's actually going to be a,897.6,3.359
395
+ Knowledge Graph because I don't with,898.98,3.419
396
+ semantic search I don't really care,900.959,2.761
397
+ about the links,902.399,5.161
398
+ between it and also because because the,903.72,5.28
399
+ story is going to be updated and,907.56,3.66
400
+ summarized repeatedly I don't know that,909.0,4.32
401
+ we actually even need semantic search so,911.22,4.919
402
+ we might not do any embeddings with this,913.32,5.1
403
+ um just by virtue of the memories are,916.139,4.32
404
+ going to be so well organized and it's,918.42,3.419
405
+ going to be organized around one,920.459,3.901
406
+ specific project so here's the thing,921.839,4.62
407
+ when we get to the to the to a fully,924.36,4.02
408
+ fledged cognitive architecture like,926.459,4.021
409
+ Raven where it's like oh hey Raven let's,928.38,4.259
410
+ talk about my story you absolutely will,930.48,3.96
411
+ need some kind of search so that Raven,932.639,4.621
412
+ can locate the correct set of memories,934.44,4.86
413
+ um but even still we should probably,937.26,5.28
414
+ have some kind of hierarchical,939.3,5.399
415
+ um automatic organization in the,942.54,4.26
416
+ background ideally it's all kept in,944.699,4.44
417
+ natural language because again when we,946.8,4.74
418
+ get to the level of fully autonomous AGI,949.139,4.921
419
+ you want its thoughts to be entirely,951.54,4.799
420
+ transparent and entirely interpretable,954.06,4.8
421
+ by humans because like if you have your,956.339,4.261
422
+ AGI whether it's Raven or another one,958.86,4.02
423
+ thinking hey Gee maybe I should go get,960.6,4.2
424
+ access to nuclear launch codes you want,962.88,4.139
425
+ to be able to see that in clear text you,964.8,4.74
426
+ don't want AGI memories to be in some,967.019,4.861
427
+ abstract embedding or AGI specific,969.54,4.62
428
+ language we want it all to be in in pure,971.88,4.92
429
+ natural language so that one it can,974.16,4.2
430
+ understand us and we can understand it,976.8,4.5
431
+ and we'll have trust so anyways,978.36,4.68
432
+ that's where we're at I didn't get too,981.3,2.94
433
+ much further today because again,983.04,3.659
434
+ recovering from burnout um but I'm,984.24,3.839
435
+ really happy with this especially some,986.699,3.361
436
+ of the tests that I did and I apologize,988.079,3.361
437
+ I can't show it but what I encourage you,990.06,2.579
438
+ to do is,991.44,3.72
439
+ um just go ahead and clone this down and,992.639,5.94
440
+ run chat it should work as it is,995.16,4.919
441
+ um actually you might you might want to,998.579,3.541
442
+ comment this out because it'll reset,1000.079,4.56
443
+ your conversation every uh 10 dialogues,1002.12,5.399
444
+ but just with the anticipation in,1004.639,5.88
445
+ salience and having it um having it,1007.519,5.76
446
+ having this as the objective it's really,1010.519,5.161
447
+ good already it'll help you plan out,1013.279,5.521
448
+ your story it won't write Pros for you,1015.68,5.64
449
+ um maybe we'll get to that one day uh,1018.8,4.86
450
+ but yeah so that's that and then the QA,1021.32,3.239
451
+ bot,1023.66,2.88
452
+ so talking talking through the memory,1024.559,5.941
453
+ here in this case the memory is abstract,1026.54,6.72
454
+ it's not it's not narrative the memory,1030.5,6.419
455
+ is in the form of papers right and so,1033.26,5.88
456
+ this these text documents that's the,1036.919,4.5
457
+ memory that we need to work on but then,1039.14,4.919
458
+ we need to have other kinds of cognitive,1041.419,4.681
459
+ tasks like you know what am I going to,1044.059,4.801
460
+ read or um you know what am I going to,1046.1,4.079
461
+ summarize or what am I going to,1048.86,3.3
462
+ synthesize and so I've been thinking,1050.179,5.581
463
+ through this and um and the direction,1052.16,6.18
464
+ that I'm going with it is the very next,1055.76,4.44
465
+ thing that's going to happen is there's,1058.34,4.38
466
+ going to be a cognitive control module,1060.2,4.859
467
+ and so as you're talking to it the,1062.72,5.1
468
+ cognitive control module will have a,1065.059,4.86
469
+ it'll have it'll have a menu of various,1067.82,4.44
470
+ things that it can do one it can just,1069.919,3.961
471
+ ask you a question ask you a follow-up,1072.26,3.659
472
+ question say hey do I know what you're,1073.88,3.179
473
+ doing,1075.919,3.961
474
+ um it can read papers it can summarize,1077.059,5.341
475
+ papers it can synthesize new information,1079.88,4.86
476
+ based on information that it's got and,1082.4,4.68
477
+ then it can generate hypotheses I think,1084.74,4.319
478
+ that's those are the primary cognitive,1087.08,4.68
479
+ tasks now it's going to automatically,1089.059,6.061
480
+ pick which task it wants to use based on,1091.76,5.46
481
+ where you're at in the conversation so,1095.12,3.299
482
+ the first thing that happens in the,1097.22,4.02
483
+ cognitive control module is that it will,1098.419,4.5
484
+ update its task,1101.24,3.12
485
+ um so it'll basically have a task log,1102.919,3.721
486
+ right and so the task log will be,1104.36,4.559
487
+ similar to the scratch Pad,1106.64,4.32
488
+ um and it'll be like so we'll have,1108.919,4.321
489
+ instead of instead of the chat log Write,1110.96,3.959
490
+ a brief summary of the most Salient,1113.24,3.9
491
+ points of the conversation we're going,1114.919,3.481
492
+ to have,1117.14,3.659
493
+ um update the task log based on task,1118.4,5.159
494
+ salience right so task sailing says what,1120.799,5.581
495
+ is it that we're doing and also instead,1123.559,6.301
496
+ of instead of having the goal uh,1126.38,7.62
497
+ uh you know I'm an AI Muse my my goal is,1129.86,6.48
498
+ to plan brainstorming instead the goal,1134.0,5.4
499
+ will be to advance science and so by,1136.34,5.699
500
+ tell just by telling chat GPT your goal,1139.4,4.56
501
+ is to advance science it will adopt a,1142.039,4.441
502
+ new model and a new approach,1143.96,4.64
503
+ um to what it's doing and so anyways,1146.48,4.559
504
+ these projects will be there's going to,1148.6,4.42
505
+ be some very distinct differences and as,1151.039,4.621
506
+ I learn about it I'll be able to create,1153.02,4.74
507
+ um a more pragmatic higher level,1155.66,3.78
508
+ abstraction,1157.76,3.659
509
+ um that can be uh more universally,1159.44,3.72
510
+ applied,1161.419,5.221
511
+ so anyways that's the update for today,1163.16,5.759
512
+ um I know that this is probably not the,1166.64,4.38
513
+ kind of update you're used to but it is,1168.919,3.781
514
+ what it is and uh let me know what you,1171.02,4.399
515
+ think in the comments,1172.7,2.719
Levels of Machine Autonomy Roadmap to AGI_transcript.csv ADDED
@@ -0,0 +1,546 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.12,5.52
3
+ another video so today's video is about,2.46,6.0
4
+ uh measuring machine autonomy rather,5.64,6.12
5
+ than intelligence as a road map or set,8.46,6.96
6
+ of Milestones towards AGI uh you know,11.76,5.519
7
+ for a long time I've been using the term,15.42,4.08
8
+ autonomous cognitive entity Ace rather,17.279,5.281
9
+ than AGI because general intelligence uh,19.5,5.519
10
+ is one idea but you know general,22.56,4.2
11
+ intelligence doesn't necessarily apply,25.019,4.5
12
+ agency and what we're realizing is that,26.76,4.88
13
+ agency is actually very very important,29.519,5.341
14
+ to talk about and research and it's not,31.64,5.62
15
+ actually getting enough research uh,34.86,4.08
16
+ because a lot of people say oh well,37.26,3.36
17
+ either it'll never happen or we,38.94,2.939
18
+ shouldn't do it but the thing is is,40.62,3.119
19
+ people are doing it anyways so we need,41.879,4.381
20
+ to talk about it before we dive in I,43.739,4.081
21
+ just want to do a quick plug for my,46.26,4.139
22
+ patreon I give away all my code for free,47.82,4.98
23
+ all my videos are ad free and that is,50.399,5.64
24
+ because I am supported by a Grassroots,52.8,6.06
25
+ movement of support so if you want to,56.039,5.821
26
+ help keep the show alive keep it going,58.86,4.92
27
+ and support me so that I can keep doing,61.86,4.079
28
+ this work I would prefer to do this than,63.78,4.68
29
+ ever take a corporate job ever again so,65.939,5.521
30
+ jump over to patreon all tiers get you,68.46,5.519
31
+ access to the private Discord server and,71.46,3.72
32
+ then of course there's several higher,73.979,3.601
33
+ tiers but really every little bit helps,75.18,4.86
34
+ another quick update is the gato,77.58,5.34
35
+ community so as a decentralized,80.04,5.7
36
+ community uh we're right now one of the,82.92,4.32
37
+ biggest things is we're developing an,85.74,3.6
38
+ organizational roadmap so basically,87.24,4.14
39
+ we're setting up various Milestones such,89.34,4.459
40
+ as uh governments Community engagement,91.38,5.46
41
+ legal and financial Milestones so that,93.799,4.541
42
+ it can become fully autonomous and,96.84,4.319
43
+ therefore not even dependent upon me I,98.34,4.319
44
+ had a good talk with some members of the,101.159,3.541
45
+ community who were concerned that I'm,102.659,3.481
46
+ going to be like the benevolent dictator,104.7,3.779
47
+ for life but like I am phobic of control,106.14,3.839
48
+ like I actually don't want to control,108.479,3.78
49
+ something I want to create a system that,109.979,4.261
50
+ is self-sustaining without me I mean,112.259,3.601
51
+ heck that's what all my research does,114.24,4.199
52
+ around AI so I want to do the same thing,115.86,3.899
53
+ with people because if I can't do the,118.439,2.941
54
+ same thing with people then I sure as,119.759,2.82
55
+ heck probably can't do the same thing,121.38,4.32
56
+ with AI so the goal is for gato to,122.579,5.22
57
+ ultimately be leaderless and operate by,125.7,4.199
58
+ consensus as a you know as a dow and,127.799,4.141
59
+ that sort of stuff we're working towards,129.899,4.741
60
+ it uh the the doors are open for anyone,131.94,4.14
61
+ to join which we do have a steady,134.64,3.72
62
+ trickle of people coming in uh but yeah,136.08,4.2
63
+ so that's a quick update on gato and now,138.36,4.68
64
+ back to the show so I got this idea,140.28,4.92
65
+ after talking with a few of my patreons,143.04,3.839
66
+ who were saying like what's the road map,145.2,4.679
67
+ towards AGI and you know I I've I've,146.879,4.741
68
+ alluded to autonomy for quite a while,149.879,3.901
69
+ autonomous cognitive architectures but I,151.62,3.72
70
+ figured let me actually tell you guys,153.78,3.12
71
+ where I got that idea,155.34,4.74
72
+ and the idea comes from levels of uh car,156.9,6.18
73
+ autonomy so uh the SAE the international,160.08,6.06
74
+ uh what was it the the something of,163.08,6.42
75
+ Automotive Engineers anyways uh the SAE,166.14,7.26
76
+ uh created the levels of uh car autonomy,169.5,5.94
77
+ so level zero no driving all the way up,173.4,4.08
78
+ to level five full self-driving,175.44,4.98
79
+ capability uh to my knowledge we haven't,177.48,5.42
80
+ had anything get above level three yet,180.42,6.24
81
+ uh because there are numerous problems,182.9,7.119
82
+ around making executive decisions uh and,186.66,5.219
83
+ also there's a lot of sensory problems,190.019,3.3
84
+ like if you're driving in a whiteout,191.879,3.841
85
+ blizzard uh you know if there's a fire,193.319,3.84
86
+ right because there's very little,195.72,3.36
87
+ training data of like how to drive,197.159,4.8
88
+ around a forest fire for instance,199.08,5.22
89
+ um now that being said I do suspect,201.959,5.041
90
+ it'll be solved eventually uh some,204.3,4.62
91
+ people have have recently started saying,207.0,3.239
92
+ maybe you should integrate large,208.92,3.599
93
+ language models into the executive,210.239,4.201
94
+ function and I fully agree with that you,212.519,3.061
95
+ don't want it making all of the,214.44,2.28
96
+ decisions you want some things to be,215.58,3.9
97
+ just completely robotically automated so,216.72,3.9
98
+ for instance if you have a,219.48,3.119
99
+ forward-looking radar and it detects,220.62,3.8
100
+ that you're you know heading towards a,222.599,4.14
101
+ non-moving object at 60 miles an hour,224.42,4.12
102
+ slam on the brakes regardless of,226.739,3.36
103
+ whatever else is going on right there,228.54,3.24
104
+ are a few things that you can do just,230.099,3.301
105
+ fully automatically,231.78,3.48
106
+ but then for those higher order,233.4,4.14
107
+ executive reasons like say for instance,235.26,4.08
108
+ you hear that the occupant is like,237.54,3.66
109
+ screaming and gurgling and you know,239.34,3.66
110
+ struggling to breathe maybe the car,241.2,3.3
111
+ should make a decision to go to the,243.0,4.019
112
+ hospital instead of you know going to,244.5,6.42
113
+ Grandma's house not sure uh anyways,247.019,6.241
114
+ point being is that this is a very,250.92,4.8
115
+ useful framework for kind of tracking,253.26,4.8
116
+ our progress towards uh full stealth,255.72,4.019
117
+ driving cars and I realize let's use the,258.06,4.8
118
+ same thing for uh for uh the path,259.739,5.041
119
+ towards AGI or autonomous cognitive,262.86,2.94
120
+ entities,264.78,3.24
121
+ so we need this road map but there's a,265.8,5.1
122
+ few problems so first of all AGI means,268.02,4.98
123
+ different things to different people uh,270.9,4.799
124
+ there's no consistent definition a lot,273.0,4.259
125
+ of people assume that it means that it,275.699,3.421
126
+ has to be embodied or that it can do,277.259,3.72
127
+ things that humans can't do or this that,279.12,2.94
128
+ or the other,280.979,3.121
129
+ also a lot of conventional benchmarks,282.06,3.66
130
+ just don't apply to artificial,284.1,3.12
131
+ intelligence anymore they're actually,285.72,3.36
132
+ having to publish papers and research,287.22,4.8
133
+ new benchmarks in order to measure large,289.08,4.619
134
+ language models,292.02,3.78
135
+ the idea of you know oh well it'll be,293.699,4.741
136
+ AGI once it has self-improvement okay,295.8,5.399
137
+ sure but we can already automate some of,298.44,4.86
138
+ that anyways with reinforcement learning,301.199,3.841
139
+ and that sort of thing so it's like this,303.3,3.3
140
+ is all really squishy,305.04,3.659
141
+ uh so basically how do you get from chat,306.6,4.7
142
+ gbt to Skynet or something like that,308.699,5.28
143
+ intelligence is not necessarily the best,311.3,4.24
144
+ Benchmark and the reason that I say that,313.979,4.741
145
+ is because chat GPT or gpt4 rather is,315.54,5.52
146
+ already superhuman in a lot of respects,318.72,4.74
147
+ by any objective measure it's better at,321.06,3.96
148
+ test taking and a lot of other tasks,323.46,3.9
149
+ than humans and it's also faster which,325.02,4.619
150
+ means that depending on how you measure,327.36,5.7
151
+ its intelligence its IQ is like 145. uh,329.639,5.041
152
+ now that being said it does still make,333.06,3.78
153
+ some really brain dead mistakes those,334.68,3.66
154
+ are going to be solved if especially if,336.84,3.299
155
+ you look at the trend line,338.34,4.139
156
+ modality so another thing that a lot of,340.139,3.84
157
+ people point out is that it's just text,342.479,3.78
158
+ right but text is the best kind of,343.979,4.5
159
+ symbolic AI because you can literally,346.259,4.081
160
+ represent pretty much anything with text,348.479,4.021
161
+ that being said I've started to Pivot,350.34,3.9
162
+ and I believe that we're going to see,352.5,4.44
163
+ another gigantic leap as we introduce,354.24,5.399
164
+ more multimodal models and the reason is,356.94,4.68
165
+ because I got this idea when I was,359.639,3.361
166
+ thinking about the fact that if you,361.62,3.06
167
+ cross train a language model on multiple,363.0,3.539
168
+ languages it gets better at all tasks,364.68,3.66
169
+ and that is because different languages,366.539,3.481
170
+ have different strengths in terms of how,368.34,4.44
171
+ they represent uh facts of the real,370.02,5.22
172
+ world and you also get broader ideas,372.78,4.68
173
+ about how the world works that are,375.24,3.899
174
+ embedded in language because there are,377.46,4.079
175
+ terms that just do not translate from,379.139,5.28
176
+ one language to another likewise I think,381.539,3.901
177
+ that there's going to be some,384.419,2.701
178
+ information that just does not translate,385.44,4.02
179
+ from one modality to another where,387.12,5.699
180
+ whether it's images video text spatial,389.46,6.78
181
+ data audio data that sort of stuff and,392.819,5.16
182
+ so I think that by creating multimodal,396.24,3.239
183
+ models they're going to have a much more,397.979,3.421
184
+ nuanced under understanding of,399.479,3.56
185
+ everything that they're talking about,401.4,4.26
186
+ that being said a multimodal model is,403.039,4.061
187
+ still not going to be enough right,405.66,3.24
188
+ necessary but not sufficient because a,407.1,3.96
189
+ model sitting on a shelf doesn't really,408.9,4.019
190
+ matter,411.06,5.88
191
+ so the two primary uh ingredients that I,412.919,6.0
192
+ see to machine autonomy which is going,416.94,4.44
193
+ to be the best like proxy the best,418.919,5.761
194
+ Benchmark is agency and dependency and,421.38,6.06
195
+ so what I mean by agency is the ability,424.68,5.4
196
+ for an entity a self-contained entity to,427.44,5.66
197
+ set goals and objectives to task switch,430.08,6.3
198
+ and Implement cognitive control and,433.1,6.159
199
+ pursue self-determination because agency,436.38,5.34
200
+ or agentic behavior is the ability to,439.259,4.44
201
+ just be fully self-directed and,441.72,4.08
202
+ self-contained make independent decision,443.699,5.161
203
+ decisions and that sort of thing uh you,445.8,4.32
204
+ know whenever you think of like an,448.86,4.38
205
+ example of a of a robot right you might,450.12,5.579
206
+ think of uh the the robots from iRobot,453.24,3.66
207
+ where they don't really have that much,455.699,2.581
208
+ agency they just kind of wait they're,456.9,4.32
209
+ like the physical embodiment of chat gbt,458.28,4.979
210
+ um until they're given an update and,461.22,4.08
211
+ then they have a lot more agency,463.259,6.541
212
+ so agency is is a multi-dimensional kind,465.3,7.44
213
+ of proxy or Benchmark for level of,469.8,5.22
214
+ intelligence and of course you can,472.74,5.64
215
+ already give the reins over to like gpt4,475.02,5.34
216
+ and stuff like that uh that being said,478.38,4.2
217
+ there is a lot that uh in the cognitive,480.36,4.86
218
+ architecture that has to be figured out,482.58,4.739
219
+ in order for agency to make more sense,485.22,4.979
220
+ in the long run so for instance agency,487.319,5.041
221
+ implies that you remember what your,490.199,3.661
222
+ purpose is and where you are and where,492.36,4.32
223
+ you're going and then dependency so this,493.86,4.38
224
+ is the other dimension and remember it's,496.68,3.0
225
+ both of these you need both of these,498.24,4.799
226
+ ingredients so uh basically dependency,499.68,6.239
227
+ is how dependent uh on humans the,503.039,5.1
228
+ machine is so the more independent it is,505.919,4.981
229
+ for all needs and the more decisions it,508.139,5.101
230
+ can make the better the closer it is to,510.9,4.139
231
+ full AGI and so but when I mean,513.24,3.719
232
+ dependencies uh need for human,515.039,4.141
233
+ programming need for hardware and,516.959,3.841
234
+ physical infrastructure provided by,519.18,5.34
235
+ humans data architecture design patterns,520.8,6.18
236
+ and then finally solving problems and,524.52,4.439
237
+ just keeping itself going and,526.98,4.56
238
+ self-improving over the long run uh,528.959,5.94
239
+ without human Aid so as agency goes up,531.54,6.239
240
+ and as uh dependency goes down that's,534.899,4.021
241
+ how you know that we're going to be,537.779,4.201
242
+ closer and closer to AGI and we can we,538.92,4.32
243
+ can easily measure those things right,541.98,3.66
244
+ now because chat GPT for instance it has,543.24,4.2
245
+ to run on gigantic data centers that are,545.64,4.5
246
+ run entirely by humans uh or mostly by,547.44,5.1
247
+ humans rather so these are the two,550.14,4.199
248
+ primary ingredients that I think and I,552.54,5.76
249
+ uh I basically built it into a framework,554.339,6.781
250
+ uh very similar to the self-driving Cars,558.3,5.58
251
+ one so level zero is reactive basically,561.12,5.399
252
+ it has no agency it's a tool level one,563.88,4.56
253
+ is some autonomy so it has a little bit,566.519,3.601
254
+ of agency to make some executive,568.44,3.72
255
+ decisions Lang chain is a really good,570.12,3.96
256
+ example of this where it it basically,572.16,4.26
257
+ has the ability to choose between a set,574.08,4.62
258
+ of tools but that's about it still,576.42,4.56
259
+ requires significant human oversight and,578.7,4.86
260
+ is also still very very much dependent,580.98,3.859
261
+ upon humans,583.56,3.24
262
+ semi-autonomy is what a lot of people,584.839,4.661
263
+ are working on with like Auto GPT where,586.8,4.08
264
+ it can choose like what kind of,589.5,4.68
265
+ information it needs to go find uh or it,590.88,5.34
266
+ can also even start to rewrite some of,594.18,4.94
267
+ its own code or come up with other ideas,596.22,6.42
268
+ uh you know some directives then High,599.12,6.04
269
+ autonomy as far as I know has not been,602.64,5.4
270
+ achieved yet anywhere in the world which,605.16,4.739
271
+ is basically that,608.04,4.68
272
+ it is able to pick some of its own,609.899,6.721
273
+ directives uh and and more more,612.72,6.299
274
+ completely modify itself basically if,616.62,4.92
275
+ you if you were to have what baby AGI,619.019,5.281
276
+ and auto GPT tried to be which is they,621.54,5.1
277
+ can rewrite their entire code base and,624.3,4.62
278
+ change their their own directives and,626.64,4.8
279
+ are not dependent upon a whole heck of a,628.92,4.38
280
+ lot of human infrastructure that would,631.44,3.6
281
+ be level three and then level four is,633.3,4.56
282
+ full autonomy meaning they have,635.04,5.34
283
+ absolutely no need for humans uh,637.86,5.76
284
+ whatsoever they're 100 self-determined,640.38,4.92
285
+ in terms of what they do when where and,643.62,3.779
286
+ why and how they do it and then of,645.3,5.279
287
+ course on a physical level uh they will,647.399,5.281
288
+ continue to exist in perpetuity without,650.579,3.661
289
+ human intervention,652.68,3.06
290
+ all right so,654.24,5.4
291
+ level zero inner reactive agency zero,655.74,5.52
292
+ percent dependency one hundred percent,659.64,5.04
293
+ basically it's a wrench uh chat GPT as,661.26,5.04
294
+ it is right now mid journey and a whole,664.68,3.599
295
+ bunch of other AI tools they just sit,666.3,3.84
296
+ there waiting for a human to push the,668.279,3.541
297
+ button and they do their thing and then,670.14,3.54
298
+ they switch back off so these are Level,671.82,5.04
299
+ zero in terms of uh AGI score even,673.68,5.159
300
+ though they're intelligent so again like,676.86,4.08
301
+ I said intelligence is not necessarily A,678.839,4.44
302
+ good measure of AGI for something to be,680.94,5.1
303
+ AGI or an autonomous cognitive entity it,683.279,5.281
304
+ also needs agency and Independence which,686.04,5.58
305
+ chat GPT has none of so even even if you,688.56,6.6
306
+ have gpt5 right that could be a billion,691.62,5.159
307
+ times more intelligent than every human,695.16,4.14
308
+ combined if it doesn't have agency and,696.779,4.68
309
+ Independence it's not an AGI,699.3,4.14
310
+ so that's that's why that's why I'm like,701.459,4.32
311
+ AGI is not a good good measurement for,703.44,4.32
312
+ some of these things level one some,705.779,4.5
313
+ autonomy like I said Lang chain is a,707.76,3.96
314
+ really good example because it can pick,710.279,3.601
315
+ and choose between a few options and not,711.72,4.26
316
+ much else a few other examples are like,713.88,4.68
317
+ roombas Amazon's warehouse robots the,715.98,4.56
318
+ Mars rovers they have a little bit of,718.56,3.779
319
+ autonomy but basically they mostly wait,720.54,3.539
320
+ for a human command and then the human,722.339,4.201
321
+ command says drive over there and it'll,724.079,4.32
322
+ figure out how to get you know 10 feet,726.54,4.5
323
+ that way on its own uh some Advanced,728.399,4.921
324
+ chat Bots also have some autonomy,731.04,4.14
325
+ again anything that incorporates Lang,733.32,5.04
326
+ chain or similar uh very basic kind of,735.18,7.32
327
+ uh in uh obfuscated choices uh that's,738.36,6.96
328
+ gonna be that's gonna have some autonomy,742.5,5.72
329
+ um let's see next is semi-autonomy so,745.32,5.82
330
+ semi-autonomous is where uh its,748.22,4.78
331
+ directive still primarily come from,751.14,3.66
332
+ humans but it might be more of a mission,753.0,4.38
333
+ rather than like a directive or a rule,754.8,6.06
334
+ and so with a mission the idea is that,757.38,6.42
335
+ here's a general objective you have some,760.86,4.68
336
+ autonomy to figure out how to get there,763.8,4.32
337
+ or how to do it on your own and so this,765.54,4.32
338
+ is the autonomous drones that uh,768.12,3.3
339
+ militaries around the world are building,769.86,3.36
340
+ where it's like your mission is to,771.42,4.38
341
+ destroy you know that Sam site or your,773.22,4.26
342
+ mission is to get the passenger from A,775.8,5.219
343
+ to B or uh you know in video games the,777.48,6.479
344
+ NPC's Mission might be like uh you know,781.019,4.861
345
+ you're gonna try and you know capture,783.959,4.081
346
+ the castle or whatever so they still,785.88,4.56
347
+ operate within a relatively constrained,788.04,4.68
348
+ environment meaning they can't change,790.44,3.959
349
+ their own in environment or their own,792.72,4.2
350
+ fundamental operation they still have a,794.399,5.401
351
+ clearly defined uh they're not general,796.92,4.74
352
+ purpose put it that way,799.8,4.2
353
+ a full self-driving car no matter how,801.66,4.08
354
+ intelligent it is it's still just a car,804.0,3.899
355
+ a drone no matter how intelligent it is,805.74,4.68
356
+ is still just a drone in Ditto for a,807.899,4.38
357
+ video game and PC so this is kind of the,810.42,4.56
358
+ Midway point where anything above that,812.279,4.441
359
+ they're they're basically saying okay,814.98,3.659
360
+ given these constraints and given this,816.72,3.78
361
+ environment you have free reign to do,818.639,3.541
362
+ whatever it takes to get that job done,820.5,4.44
363
+ uh whereas you know the sum autonomy,822.18,4.62
364
+ they basically can only pick and choose,824.94,4.139
365
+ from a very short menu of options,826.8,4.68
366
+ whereas semi-autonomy is they can figure,829.079,6.06
367
+ it out themselves then High autonomy so,831.48,6.299
368
+ this is this is like uh Cortana in the,835.139,5.581
369
+ early days commander data and the Nestor,837.779,6.841
370
+ class 5 from iRobot so they're almost,840.72,6.9
371
+ entirely self-directing uh you know data,844.62,4.92
372
+ can make up his own mind on things but,847.62,3.54
373
+ he still has a lot of limitations just,849.54,4.02
374
+ due to the form factor that he's in,851.16,4.799
375
+ likewise Cortana at least in the early,853.56,5.339
376
+ days is basically designed to be a,855.959,5.221
377
+ weapon a military aid and So within,858.899,3.841
378
+ those constraints she still has a,861.18,4.02
379
+ tremendous amount of autonomy and able,862.74,5.039
380
+ to uh change the way she does things but,865.2,4.439
381
+ in both cases of data and Cortana,867.779,3.901
382
+ they're still very much dependent on,869.639,3.421
383
+ their human Companions and human,871.68,3.899
384
+ counterparts to continue operating so,873.06,6.959
385
+ most fictional examples of AI at least,875.579,6.421
386
+ many of the the friendly ones are what,880.019,4.081
387
+ we would call High autonomy and then,882.0,5.519
388
+ full autonomy so this is where the they,884.1,5.82
389
+ are they can can completely ignore,887.519,4.141
390
+ humans if they want to and are,889.92,3.3
391
+ completely independent of humans so the,891.66,5.46
392
+ examples here are Skynet Ultron the Geth,893.22,6.359
393
+ in Mass Effect Cortana after Guardians,897.12,4.74
394
+ uh the Reapers from Mass Effect so these,899.579,3.961
395
+ are these are the the kind of nightmare,901.86,3.599
396
+ scenario scenario where it's like okay,903.54,4.56
397
+ it has no need for us anymore so then,905.459,4.081
398
+ what does it do,908.1,3.0
399
+ and that's what we're kind of most,909.54,5.28
400
+ afraid of uh but again like this is the,911.1,5.22
401
+ work that I and other people are doing,914.82,3.0
402
+ and I one I think that this is,916.32,3.959
403
+ inevitable uh that it'll get to that,917.82,5.879
404
+ level of level four full autonomy uh but,920.279,5.761
405
+ I'm also not afraid of it because,923.699,3.961
406
+ I don't know I haven't seen any reason,926.04,3.84
407
+ to be yet now that that being said I'm,927.66,3.72
408
+ not saying that it is inevitable that it,929.88,3.48
409
+ will be safe no we could absolutely do,931.38,3.06
410
+ this wrong and it could kill everyone,933.36,3.779
411
+ I'm not denying that at all,934.44,4.56
412
+ um and I think it's coming sooner than a,937.139,4.741
413
+ lot of uh researchers realize uh that,939.0,4.62
414
+ being said I do have a few more videos,941.88,4.56
415
+ planned about okay if we're if we're,943.62,5.1
416
+ aiming for and building level four full,946.44,5.759
417
+ autonomous AGI how do we make it safe or,948.72,5.04
418
+ what will It ultimately choose to do,952.199,3.0
419
+ which you know you've seen some of my,953.76,3.06
420
+ other videos,955.199,3.901
421
+ okay so how do we get from where we're,956.82,5.34
422
+ at to level four because like I said the,959.1,5.22
423
+ the the best that we have is we're,962.16,5.46
424
+ approaching level two semi-autonomy in a,964.32,6.0
425
+ few cases right people are experimenting,967.62,6.6
426
+ with it uh but you know there's a lot of,970.32,5.579
427
+ problems so all the work that I've done,974.22,3.78
428
+ on cognitive architecture is going to,975.899,3.481
429
+ help get us there but there's still a,978.0,3.6
430
+ few other problems so first is,979.38,4.5
431
+ algorithmic breakthroughs that uh need,981.6,4.2
432
+ to happen namely like I mentioned at the,983.88,4.199
433
+ beginning multimodal models I think will,985.8,4.26
434
+ very very much Advance us towards that,988.079,3.0
435
+ just because they're going to have a,990.06,3.839
436
+ much more nuanced understanding of how,991.079,5.101
437
+ to pursue any goal they're going to have,993.899,4.081
438
+ a much better World model by being able,996.18,3.18
439
+ to integrate multiple kinds of,997.98,3.359
440
+ information and data,999.36,4.38
441
+ a contact size parameter count those,1001.339,4.74
442
+ those kinds of things uh Mesa,1003.74,4.62
443
+ optimization loss functions that's all,1006.079,4.141
444
+ the math which you know that's not to,1008.36,3.719
445
+ that's not to demean or diminish the,1010.22,4.859
446
+ value of mathematical researchers uh and,1012.079,4.68
447
+ and the computer scientists and the data,1015.079,3.721
448
+ scientists who really build these new,1016.759,4.621
449
+ architectures but like it's kind of it's,1018.8,5.399
450
+ kind of like Moore's law where like you,1021.38,4.439
451
+ can you can predict with a pretty,1024.199,4.74
452
+ regular Cadence how uh models become,1025.819,5.221
453
+ more sophisticated over time there,1028.939,4.321
454
+ doesn't seem to be any major blockers,1031.04,4.259
455
+ right if you pay attention to chip,1033.26,4.38
456
+ design every year people are like oh,1035.299,3.66
457
+ well this is going to be the end of,1037.64,3.419
458
+ Moore's law but then inevitably someone,1038.959,3.96
459
+ figures out another way of approaching,1041.059,3.841
460
+ the problem likewise I see the same,1042.919,4.861
461
+ thing the same pattern happening with um,1044.9,5.46
462
+ with language models,1047.78,4.98
463
+ um and then another big thing that we're,1050.36,5.1
464
+ seeing is online learning memory systems,1052.76,4.74
465
+ uh and and those sorts of things like,1055.46,4.68
466
+ recurrent neural networks and other ways,1057.5,5.46
467
+ of like in managing in context learning,1060.14,4.56
468
+ and that sort of stuff but one thing,1062.96,3.06
469
+ that people have started noticing for,1064.7,4.32
470
+ instance is that chat GPT with uh even,1066.02,4.62
471
+ even just over the last couple of days,1069.02,4.26
472
+ or a couple weeks rather,1070.64,5.46
473
+ because its data is uh two years old,1073.28,6.18
474
+ almost and and growing it's actually its,1076.1,5.939
475
+ utility is already dropping because it's,1079.46,4.68
476
+ more and more out of date and so we're,1082.039,3.901
477
+ realizing very quickly that you're going,1084.14,3.779
478
+ to need to have continuous learning in,1085.94,3.3
479
+ these models so that they can stay,1087.919,3.361
480
+ relevant uh and then there's the,1089.24,4.5
481
+ software architecture such as cognitive,1091.28,4.74
482
+ architectures orchestrating and training,1093.74,4.26
483
+ millions of models so one thing that,1096.02,3.84
484
+ I've started telling people is that AGI,1098.0,3.78
485
+ was never ever going to be a single,1099.86,5.76
486
+ model it is a huge gigantic Monumental,1101.78,6.24
487
+ mistake to think that one model whether,1105.62,6.12
488
+ it's gpt5 or GPT 18 or whatever is going,1108.02,6.0
489
+ to be responsible for AGI you're going,1111.74,4.679
490
+ to have at a bare minimum probably,1114.02,4.62
491
+ dozens if not hundreds or thousands of,1116.419,4.981
492
+ models required to achieve level four,1118.64,4.86
493
+ autonomy these are models that are going,1121.4,3.54
494
+ to be doing things like handling Vision,1123.5,3.96
495
+ handling motor control uh they're going,1124.94,5.099
496
+ to be performing task orchestration,1127.46,4.079
497
+ you're going to have models that are,1130.039,3.901
498
+ dedicated to ethics and reasoning,1131.539,4.861
499
+ long-term planning and you're also going,1133.94,4.619
500
+ to have multiple models of every single,1136.4,4.56
501
+ kind that work in conjunction this is,1138.559,4.74
502
+ called an ensemble of experts which is,1140.96,5.579
503
+ an old school method of basically saying,1143.299,5.641
504
+ okay you know you have a dozen models,1146.539,4.441
505
+ that are similar but there they might be,1148.94,3.119
506
+ slightly different architectures,1150.98,3.0
507
+ different training data that sort of,1152.059,3.601
508
+ stuff and so each one has strength and,1153.98,3.42
509
+ weaknesses and you get them all to work,1155.66,4.259
510
+ together and then you overcome any flaws,1157.4,5.159
511
+ or faults in any single model and so,1159.919,4.081
512
+ this is why I'm also really really,1162.559,3.36
513
+ skeptical of any research that tries to,1164.0,4.2
514
+ align a single model like that's kind of,1165.919,4.62
515
+ pointless no it's not pointless research,1168.2,4.14
516
+ but it would be a mistake to think that,1170.539,3.841
517
+ aligning a single model is going to be,1172.34,6.42
518
+ the solution because you know any any uh,1174.38,7.38
519
+ roboticist and old school ml data,1178.76,4.5
520
+ scientists will say oh yeah Ensemble of,1181.76,4.38
521
+ experts you know those this is very much,1183.26,4.62
522
+ the way and also there's an entire book,1186.14,3.24
523
+ about it called a thousand brains by,1187.88,3.12
524
+ Jeff Hawkins,1189.38,3.72
525
+ um yeah so the software architecture to,1191.0,4.44
526
+ do all this in a fully automated way,1193.1,5.1
527
+ that can that is you know stable and,1195.44,5.22
528
+ self-sustaining that you know the AGI,1198.2,4.14
529
+ can tune and manipulate and you know,1200.66,3.48
530
+ spin up another copy of itself and test,1202.34,4.26
531
+ it self testing and self-correction are,1204.14,4.26
532
+ going to be some of the hardest things,1206.6,5.939
533
+ to uh to achieve with uh with uh getting,1208.4,6.18
534
+ to level four full autonomy,1212.539,4.5
535
+ so anyways that's it for this video it,1214.58,4.32
536
+ was pretty short I just wanted to lay,1217.039,3.061
537
+ this out because I thought it was a,1218.9,3.3
538
+ really valuable idea uh to talk about,1220.1,4.68
539
+ like okay how do we actually get to AGI,1222.2,5.4
540
+ from here so I laid out five levels of,1224.78,4.68
541
+ of autonomy based on agency and,1227.6,4.079
542
+ dependency I hope this helps it make,1229.46,3.959
543
+ sense and kind of get a much clearer,1231.679,4.5
544
+ idea of what AGI or autonomous cognitive,1233.419,4.441
545
+ entities will actually look like so,1236.179,3.86
546
+ thanks for,1237.86,2.179
Life under UBI Work hobbies and wellbeing without work_transcript.csv ADDED
@@ -0,0 +1,1228 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.12,5.76
3
+ another video so today's video is uh by,2.7,5.939
4
+ popular demand uh as we talk more and,5.88,4.86
5
+ more about artificial intelligence and,8.639,6.841
6
+ the potential of Ubi and AI displacing a,10.74,7.56
7
+ lot of jobs uh for some people it seems,15.48,4.74
8
+ like it's a foregone conclusion that a,18.3,3.0
9
+ lot of people are going to be out of,20.22,3.479
10
+ work real soon probably for good,21.3,5.16
11
+ uh there's more and more Universal basic,23.699,4.981
12
+ basic income experiments going on around,26.46,5.819
13
+ the world uh and if you didn't see it I,28.68,5.94
14
+ have another video called uh post labor,32.279,4.021
15
+ economics which kind of talks about more,34.62,4.56
16
+ of the macro economic aspects of that,36.3,5.579
17
+ but in this case people really wanted to,39.18,3.86
18
+ learn about,41.879,4.5
19
+ Ubi on an individual level so let's get,43.04,5.62
20
+ right in uh just a real quick plug for,46.379,4.5
21
+ my patreon before we get in,48.66,6.0
22
+ um I do have a patreon and all tiers get,50.879,6.961
23
+ you into the private Discord where I am,54.66,5.579
24
+ often available to chat with people I,57.84,4.379
25
+ also there's two patreon discords so,60.239,3.74
26
+ there's the premium patreon Discord,62.219,4.08
27
+ which I prioritize make sure that I,63.979,3.82
28
+ answer all questions that people send me,66.299,3.14
29
+ on patreon if you're in the premium tier,67.799,4.921
30
+ and I also do have occasional office,69.439,5.68
31
+ hours uh where we just all kind of get,72.72,4.8
32
+ in a voice chat together and then I do,75.119,4.801
33
+ all uh have a higher tier for one-on-one,77.52,5.099
34
+ sessions all right back to the show,79.92,5.4
35
+ so first let's set the stage,82.619,5.701
36
+ imagine this future scenario every,85.32,4.979
37
+ American gets two thousand dollars a,88.32,4.2
38
+ month no questions asked starting at age,90.299,4.68
39
+ 18 let's also for the sake of this,92.52,4.02
40
+ thought experiment assume that Health,94.979,5.1
41
+ Care is either heavily subsidized or uh,96.54,5.399
42
+ practic for all intents and purposes,100.079,4.5
43
+ free if you check out my post labor,101.939,5.82
44
+ economics video I talk about how uh AI,104.579,5.161
45
+ could lower the cost of of lots of,107.759,4.381
46
+ things including Health Care by a factor,109.74,5.72
47
+ of 100x or a thousand X in the long run,112.14,6.0
48
+ let's also assume that the unemployment,115.46,4.78
49
+ rate will be about 70 percent there are,118.14,4.38
50
+ some people calling for more some people,120.24,5.699
51
+ calling for less but just looking at the,122.52,5.9
52
+ number of jobs that are like uh,125.939,4.8
53
+ vulnerable to being automated away with,128.42,5.26
54
+ AI today my personal estimate is that,130.739,6.36
55
+ it's around 70 percent uh let's also,133.68,5.58
56
+ assume for the sake of argument that,137.099,5.22
57
+ parents get a little bit of Ubi per,139.26,5.52
58
+ child but it also tapers per child,142.319,5.581
59
+ uh so basically uh you wanna you don't,144.78,5.88
60
+ want to necessarily hand out uh as much,147.9,4.5
61
+ Ubi for every child because that,150.66,3.24
62
+ incentivizes some people to just keep,152.4,3.3
63
+ having more children,153.9,3.419
64
+ um but on the other hand you also want,155.7,3.539
65
+ to ensure that uh you know you,157.319,3.481
66
+ incentivize the behaviors that you want,159.239,3.421
67
+ to see and so one thing that people are,160.8,3.84
68
+ concerned about some people uh are,162.66,3.78
69
+ concerned about is population collapse,164.64,3.66
70
+ actually this is what we're seeing in,166.44,5.22
71
+ places like Italy Japan North Korea uh,168.3,6.24
72
+ and other places where the population is,171.66,5.46
73
+ actually already slowly Contracting and,174.54,4.979
74
+ so you you basically need to incentivize,177.12,3.78
75
+ people to have children you need to,179.519,3.481
76
+ reward them right now,180.9,4.86
77
+ um you get tax breaks uh in the form of,183.0,6.0
78
+ uh dependent uh tax credit uh so,185.76,5.339
79
+ basically this is kind of like a reverse,189.0,4.319
80
+ or not a reverse tax credit but a tax,191.099,4.321
81
+ credit in the form of increased income,193.319,4.081
82
+ on a monthly basis to help pay for,195.42,4.02
83
+ children,197.4,3.96
84
+ um let's also assume that GDP growth is,199.44,4.56
85
+ going to be something like 15 uh due to,201.36,5.519
86
+ AI automation so the idea is that most,204.0,4.56
87
+ people aren't working but the GDP is,206.879,3.181
88
+ still growing like crazy the stock,208.56,3.48
89
+ market is growing like crazy so,210.06,4.08
90
+ corporations and politicians there's,212.04,4.68
91
+ plenty of wealth to go around so we're,214.14,4.739
92
+ basically assuming that a state exists,216.72,5.28
93
+ of economic abundance and then also some,218.879,4.741
94
+ redistribution oh and there was a,222.0,3.48
95
+ question someone was asking what's the,223.62,4.32
96
+ difference between this and socialism so,225.48,3.539
97
+ the difference between this and,227.94,3.0
98
+ socialism is that socialism is about,229.019,4.261
99
+ Collective ownership or state ownership,230.94,5.76
100
+ so in this case Ubi actually fits within,233.28,5.4
101
+ capitalism and neoliberalism because the,236.7,4.02
102
+ state isn't owning anything the state is,238.68,4.08
103
+ just taxing and redistributing within,240.72,4.379
104
+ the existing framework another,242.76,3.6
105
+ assumption that we're going to make and,245.099,3.181
106
+ I talked about this again in the post,246.36,4.739
107
+ labor economics video is uh we're,248.28,4.56
108
+ basically going to assume that inflation,251.099,3.661
109
+ and deflation are going to be modulated,252.84,4.56
110
+ by some of these Market forces,254.76,4.74
111
+ uh with things like quantitative easing,257.4,4.559
112
+ tax rates and that sort of stuff so,259.5,3.66
113
+ we're not going to address that further,261.959,2.821
114
+ in this video just assume that prices,263.16,4.319
115
+ are stable ish,264.78,6.359
116
+ okay so absolute just right off the bat,267.479,5.761
117
+ let's talk about budgeting you get two,271.139,4.56
118
+ thousand dollars a month uh no further,273.24,3.899
119
+ questions asked,275.699,2.461
120
+ um the first thing that everyone's,277.139,3.301
121
+ thinking is the rent is still way too,278.16,5.22
122
+ damn high for this uh you know my my,280.44,4.92
123
+ mortgage payment which is you know I,283.38,3.66
124
+ bought this house almost 10 years ago so,285.36,5.22
125
+ before things went absolutely insane uh,287.04,5.34
126
+ my mortgage payment is about twelve,290.58,3.24
127
+ hundred dollars a month which is pretty,292.38,2.7
128
+ good,293.82,3.0
129
+ um but that being said the lowest,295.08,4.02
130
+ mortgage payment I ever had was 325,296.82,3.72
131
+ dollars a month for a sixty five,299.1,4.08
132
+ thousand dollar uh apartment,300.54,5.28
133
+ um so it can be done obviously as demand,303.18,4.799
134
+ goes up in certain areas the prices also,305.82,5.7
135
+ go up uh but point being is that for,307.979,5.28
136
+ most people that's just these numbers,311.52,4.44
137
+ probably sound completely ridiculous,313.259,4.201
138
+ like it's not going to happen again,315.96,3.84
139
+ because again ten years ago the economy,317.46,4.98
140
+ has changed a lot inflation supply and,319.8,5.399
141
+ demand has changed we're facing housing,322.44,4.8
142
+ crunches and recessions and all that,325.199,3.541
143
+ kind of stuff stuff so again it's like,327.24,4.019
144
+ oh you know you everyone's heard like,328.74,4.62
145
+ you know someone uh from our parents or,331.259,4.321
146
+ grandparents age like oh you know I pay,333.36,3.96
147
+ I put a you know family through college,335.58,4.74
148
+ on you know a cashier's salary believe,337.32,5.46
149
+ me I am aware that economics change over,340.32,4.92
150
+ time we will address uh the housing,342.78,3.72
151
+ thing in just a minute I'm just kind of,345.24,4.14
152
+ setting the stage as to saying okay we,346.5,4.74
153
+ need to figure out a way to get housing,349.38,3.78
154
+ into six hundred dollars a month or so,351.24,3.36
155
+ for everyone,353.16,4.14
156
+ cars are another huge huge expense for,354.6,4.08
157
+ Americans,357.3,3.54
158
+ um so these are the two biggest expenses,358.68,4.859
159
+ for most people so you know for instance,360.84,4.799
160
+ I have friends that their car payment is,363.539,3.6
161
+ six or seven hundred dollars a month,365.639,3.721
162
+ that's insane,367.139,4.56
163
+ um you know so you combine that with uh,369.36,5.04
164
+ you know let's let's say I had a 600 car,371.699,4.381
165
+ payment on top of a twelve hundred,374.4,3.42
166
+ dollar mortgage that's eighteen hundred,376.08,3.839
167
+ dollars a month leaving 200 a month for,377.82,3.719
168
+ everything else that's not gonna fly,379.919,3.541
169
+ that's not gonna work,381.539,4.861
170
+ um now that being said if we can get uh,383.46,5.28
171
+ rent or mortgages back down to 600 a,386.4,4.079
172
+ month for most people that leaves,388.74,3.899
173
+ Fourteen and if we can get rid of cars,390.479,3.72
174
+ that leaves about fourteen hundred,392.639,2.941
175
+ dollars a month for everything else and,394.199,3.241
176
+ also remember in this hypothetical,395.58,4.44
177
+ scenario Healthcare is uh highly,397.44,5.4
178
+ subsidized or functionally free for most,400.02,4.019
179
+ people,402.84,4.32
180
+ okay so housing biggest expense let's,404.039,4.801
181
+ talk about housing first because if we,407.16,4.08
182
+ can get that under control the whole Ubi,408.84,4.56
183
+ thing looks a lot more sustainable and,411.24,4.019
184
+ feasible for most people,413.4,4.859
185
+ so the first thing is downsizing uh a,415.259,4.741
186
+ lot of people are already downsizing,418.259,3.78
187
+ tiny houses are all the rage right now,420.0,4.139
188
+ Katrina Cottages,422.039,3.481
189
+ um that kind of kick-started it because,424.139,4.201
190
+ after Hurricane Katrina uh of actually,425.52,4.44
191
+ what happened was a few celebrities got,428.34,5.16
192
+ together and paid for Architects to,429.96,6.42
193
+ design Cottages small houses that were,433.5,5.52
194
+ very cheap and easy to build so that,436.38,4.439
195
+ people that were affected by Katrina,439.02,2.72
196
+ could,440.819,3.061
197
+ recover more quickly,441.74,5.739
198
+ uh ever that didn't start the tiny house,443.88,5.28
199
+ Trend but that certainly put it on the,447.479,3.06
200
+ map and people are like oh Katrina,449.16,2.939
201
+ houses they're pretty cute because again,450.539,3.361
202
+ they paid for,452.099,3.241
203
+ um professional Architects to make,453.9,2.94
204
+ something that was,455.34,3.6
205
+ um sustainable and appealing not just,456.84,3.72
206
+ cheap and efficient,458.94,4.5
207
+ so demand for smaller houses is creating,460.56,4.74
208
+ new markets there's,463.44,3.42
209
+ um you know last time I looked up at,465.3,3.66
210
+ tiny houses a few years ago there were,466.86,4.2
211
+ not a whole lot of options now there are,468.96,4.2
212
+ tiny house kits there are prefabs there,471.06,3.9
213
+ are all kinds of stuff,473.16,4.2
214
+ some of the some of the cheapest DIY,474.96,4.859
215
+ like livable tiny houses that I could,477.36,4.559
216
+ find were around four thousand dollars,479.819,4.201
217
+ which is much much more efficient than,481.919,3.601
218
+ you know a two hundred thousand dollar,484.02,3.0
219
+ house or a four hundred thousand dollar,485.52,3.84
220
+ house you can also get pre-built for,487.02,4.44
221
+ around 12K and that's you know starting,489.36,4.679
222
+ price you can spend up to 200k on a,491.46,4.5
223
+ prefab tiny house,494.039,3.481
224
+ um which is still cheaper than you know,495.96,4.44
225
+ a half a million dollar uh Suburban,497.52,5.04
226
+ house uh one thing one of the biggest,500.4,4.32
227
+ problems with tiny houses is that um,502.56,3.96
228
+ regulations and zoning laws need to be,504.72,5.4
229
+ uh updated uh in many municipalities and,506.52,6.0
230
+ jurisdictions a tiny house is not,510.12,4.56
231
+ allowed to be the primary residence you,512.52,3.48
232
+ can have what's called an auxiliary,514.68,3.599
233
+ dwelling unit in many places which is,516.0,3.779
234
+ basically you can put a tiny house in,518.279,3.361
235
+ your backyard but then you need a,519.779,4.801
236
+ regular full-sized house so um my wife,521.64,5.16
237
+ and I we're about to downsize but even,524.58,4.74
238
+ in the countryside the minimum house,526.8,4.56
239
+ size that we're allowed to build is 1200,529.32,3.66
240
+ square feet so it's smaller than my,531.36,3.0
241
+ current house but it still doesn't,532.98,3.359
242
+ qualify as a tiny house we would love to,534.36,4.26
243
+ have built something smaller but uh,536.339,4.321
244
+ because of the because the County zoning,538.62,3.659
245
+ laws we're not allowed to build anything,540.66,2.7
246
+ smaller,542.279,4.021
247
+ so in order to accommodate a shift to a,543.36,5.039
248
+ Ubi we're going to need different zoning,546.3,4.44
249
+ laws or areas that are zoned for tiny,548.399,5.341
250
+ houses another option is portable tiny,550.74,5.18
251
+ houses such as trailers or van dwelling,553.74,4.74
252
+ now lots of people you know there's the,555.92,4.38
253
+ van dwelling subreddit there's plenty of,558.48,4.32
254
+ influencers on Tick Tock and YouTube and,560.3,4.979
255
+ uh Instagram and everywhere else,562.8,5.34
256
+ that either travel or live in a van full,565.279,6.521
257
+ time or whatever uh this is this is good,568.14,5.639
258
+ for some people it can be very cheap you,571.8,4.26
259
+ can also spend a lot of money uh pimping,573.779,4.161
260
+ out a van or a bus or whatever,576.06,4.32
261
+ there are challenges associated with,577.94,4.78
262
+ this such as safety where do you stay,580.38,4.98
263
+ permanent address it also requires a,582.72,4.5
264
+ vehicle which again Vehicles can be,585.36,3.2
265
+ really expensive,587.22,4.5
266
+ the last thing is micro Apartments so,588.56,6.279
267
+ not everyone wants to own their own home,591.72,5.04
268
+ or their own land so micro apartments,594.839,4.141
269
+ are something that is an option they're,596.76,4.8
270
+ increasingly popular but again there's a,598.98,4.859
271
+ lot of regulations particular early in,601.56,4.38
272
+ America that prevent us from even,603.839,6.0
273
+ building tiny uh Apartments usually the,605.94,5.82
274
+ smallest studio apartment you can get is,609.839,4.041
275
+ around four to five hundred square feet,611.76,4.44
276
+ which you know there's nothing wrong,613.88,3.28
277
+ with that,616.2,3.24
278
+ but those are often in Trendy areas and,617.16,3.54
279
+ so even though it's a small apartment,619.44,4.62
280
+ they're often very very expensive,620.7,5.16
281
+ um so they're not really optimized for,624.06,4.32
282
+ being economical that being said as I,625.86,5.76
283
+ mentioned as the market demand for these,628.38,6.3
284
+ things goes up the pressure for cities,631.62,5.46
285
+ to accommodate that and for the the,634.68,3.96
286
+ capitalist class for the for the,637.08,4.379
287
+ corporations to accommodate that will go,638.64,3.54
288
+ up,641.459,2.581
289
+ um and again there's lots of experiments,642.18,4.86
290
+ going on but there hasn't been a new,644.04,4.859
291
+ establishment and so one thing that I,647.04,4.56
292
+ want to talk about is in the context of,648.899,5.701
293
+ History the American suburbs those were,651.6,4.679
294
+ intentionally designed about 80 years,654.6,4.859
295
+ ago after World War II,656.279,6.18
296
+ um as as the the nation was beginning to,659.459,6.0
297
+ urbanize very quickly uh you know all,662.459,4.861
298
+ the regulations and patterns and,665.459,5.161
299
+ architectural designs and and Municipal,667.32,5.759
300
+ layouts that didn't exist the modern,670.62,4.8
301
+ suburb the subdivision was a new,673.079,5.221
302
+ invention and so the fact we had we,675.42,5.22
303
+ invented a new way of living within the,678.3,4.38
304
+ last century tells me that we can invent,680.64,4.319
305
+ a new way of living again and it,682.68,4.32
306
+ probably won't take that long,684.959,3.781
307
+ because where there's a will there's a,687.0,4.2
308
+ way and certainly necessity is the,688.74,4.2
309
+ mother of all invention and we will need,691.2,4.319
310
+ to figure out alternative ways of living,692.94,4.2
311
+ that are not centered on the American,695.519,3.481
312
+ suburb,697.14,3.78
313
+ um another option other than downsizing,699.0,4.079
314
+ is combining households so this is,700.92,5.64
315
+ called co-living or co-housing one there,703.079,5.76
316
+ are successful uh co-housing and,706.56,4.92
317
+ co-living things around the world in,708.839,4.201
318
+ America they're usually actually more,711.48,4.26
319
+ expensive because of construction costs,713.04,5.52
320
+ regulations red tape and so on and so,715.74,5.36
321
+ forth in many cases,718.56,4.8
322
+ particularly if you look on on Reddit,721.1,3.9
323
+ under the co-housing and co-living,723.36,4.32
324
+ subreddits there are plenty of horror,725.0,4.959
325
+ stories of very very dangerous,727.68,4.08
326
+ manipulative people building these,729.959,5.521
327
+ communities so I want to urge caution uh,731.76,5.34
328
+ before you get involved in any of those,735.48,2.84
329
+ kinds of things,737.1,4.56
330
+ now that being said there are uh,738.32,5.5
331
+ successful examples in America but there,741.66,3.9
332
+ are more successful examples around the,743.82,4.92
333
+ world particularly in Europe in various,745.56,4.62
334
+ places,748.74,4.44
335
+ uh there's Eco Villages which are,750.18,6.18
336
+ focused on sustainability uh they're,753.18,6.06
337
+ basically like uh Co-op Farms,756.36,6.24
338
+ essentially uh now that being said there,759.24,6.42
339
+ is uh there's a lot of rising Trends,762.6,4.979
340
+ around co-living in conventional houses,765.66,4.08
341
+ you don't necessarily need a special,767.579,4.801
342
+ Village or a special structure right,769.74,3.96
343
+ because that's where the red tape and,772.38,4.44
344
+ Regulation and excess cost comes in what,773.7,4.74
345
+ a lot of people do is actually just,776.82,4.139
346
+ combine finances and live in a larger,778.44,5.519
347
+ house and so there is a trend that,780.959,5.401
348
+ started a few years ago called mommunes,783.959,3.961
349
+ and there's actually services that can,786.36,4.919
350
+ help single moms find each other to join,787.92,6.12
351
+ forces band together and and combine,791.279,6.18
352
+ households uh obviously not everyone is,794.04,5.76
353
+ a single mother so that model doesn't,797.459,5.461
354
+ work for everyone but you know put it,799.8,5.7
355
+ this way uh some of my friends in my 20s,802.92,5.28
356
+ uh they got together and rented a large,805.5,5.639
357
+ house and so having two or three couples,808.2,5.1
358
+ living together or even just a few,811.139,4.561
359
+ friends you know three four five friends,813.3,4.8
360
+ living together if you combine those,815.7,4.56
361
+ incomes and you end up with eight or,818.1,4.039
362
+ twelve thousand dollars per month,820.26,4.199
363
+ guaranteed income from Universal based,822.139,4.181
364
+ income from from combining households,824.459,4.32
365
+ you can afford a pretty nice house for,826.32,5.16
366
+ that uh and so this is a pretty simple,828.779,4.141
367
+ model,831.48,3.479
368
+ um but what I will say is that finding,832.92,4.26
369
+ the right people can be challenging,834.959,3.721
370
+ um certainly there have been there are,837.18,4.02
371
+ plenty of cases of people having gotten,838.68,4.26
372
+ stuck with toxic roommates or,841.2,4.079
373
+ destructive uh Partners or whatever and,842.94,4.44
374
+ getting trapped in those situations so,845.279,3.781
375
+ we will need to keep in mind that some,847.38,3.84
376
+ people are going to be better and safer,849.06,4.2
377
+ living on their own certainly plenty of,851.22,4.739
378
+ people want want to live that way but,853.26,5.16
379
+ that being said the social advantages,855.959,4.801
380
+ that come from joining forces and,858.42,3.96
381
+ banding together,860.76,4.319
382
+ um of course we just got we're on the,862.38,4.5
383
+ tail end of the pandemic in which case a,865.079,3.0
384
+ lot of people actually were kind of,866.88,3.12
385
+ forced into that situation you know we,868.079,3.601
386
+ created our little survival groups right,870.0,3.6
387
+ it was like The Walking Dead,871.68,4.44
388
+ um you know you band together uh so,873.6,5.7
389
+ anyways uh whether you downsize or join,876.12,5.459
390
+ forces or a little bit of both those are,879.3,4.979
391
+ ways that you can drastically reduce uh,881.579,5.101
392
+ housing costs uh here in America,884.279,5.041
393
+ again the biggest thing is that uh,886.68,4.5
394
+ particularly on the downsizing we need,889.32,3.78
395
+ to update our zoning laws and,891.18,4.14
396
+ regulations to accommodate this but I,893.1,4.08
397
+ have no doubt that the the pressure from,895.32,5.22
398
+ people to do this will uh will kind of,897.18,6.42
399
+ force um the government's hand,900.54,4.56
400
+ um all right so Transportation I,903.6,3.179
401
+ mentioned you know cars are really,905.1,3.9
402
+ expensive and America is a car culture,906.779,4.141
403
+ so how do we how do we reduce,909.0,3.899
404
+ Transportation costs,910.92,4.8
405
+ the first thing is walkable cities so,912.899,5.101
406
+ most cities I don't know I don't know,915.72,3.84
407
+ about most but many cities in Europe,918.0,4.38
408
+ were designed and built and founded long,919.56,5.639
409
+ before cars uh and so because of that,922.38,5.04
410
+ walkability is kind of intrinsic to a,925.199,4.621
411
+ lot of European cities however whoops,927.42,3.659
412
+ come back,929.82,3.72
413
+ um a lot of American cities uh were,931.079,5.88
414
+ designed and built with cars in mind and,933.54,5.039
415
+ so because of that a lot of American,936.959,3.901
416
+ cities are designed around the car they,938.579,4.801
417
+ actually prioritize uh and privilege,940.86,5.099
418
+ cards over pedestrians which is super,943.38,5.1
419
+ super problematic now that being said,945.959,5.161
420
+ there are literally dozens of major,948.48,4.919
421
+ projects going on around the world to,951.12,5.279
422
+ experiment with new walkable cities uh,953.399,5.101
423
+ and then of course there are um you know,956.399,4.321
424
+ hundreds if not thousands of smaller,958.5,4.86
425
+ experiments uh you know of like Urban,960.72,4.2
426
+ revitalization,963.36,4.919
427
+ uh the cities near where I live all up,964.92,5.7
428
+ and down the east coast in the South,968.279,4.081
429
+ um they're they're building walkable,970.62,4.14
430
+ areas maybe not the entire city is,972.36,5.279
431
+ walkable but some of it is walkable and,974.76,5.28
432
+ so this focus on green spaces and,977.639,3.961
433
+ walkability,980.04,3.479
434
+ um is rising there's a couple of YouTube,981.6,3.66
435
+ channels I want to recommend,983.519,3.18
436
+ um one is City beautiful and the other,985.26,3.6
437
+ is not just bikes these are really great,986.699,3.661
438
+ channels they're really informative and,988.86,3.419
439
+ they will point out all of the things,990.36,3.599
440
+ wrong with American cities,992.279,2.941
441
+ um the things that some American cities,993.959,3.601
442
+ get right that'll compare American,995.22,4.619
443
+ cities with European and Asian cities as,997.56,4.86
444
+ well but for instance I've been to Paris,999.839,5.221
445
+ and I was surprised at at such a,1002.42,5.64
446
+ sprawling City I was at the on the at,1005.06,4.8
447
+ the Cathedral on the hill soccer tour,1008.06,4.019
448
+ which means Sacred Heart and I know they,1009.86,4.8
449
+ didn't say it with the right accent,1012.079,4.861
450
+ um but it's literally parasite to the,1014.66,4.26
451
+ Horizon you cannot see outside of the,1016.94,4.019
452
+ city from the middle of the city,1018.92,3.659
453
+ um but you don't need a car in Paris,1020.959,3.72
454
+ it's wild and like as an American that,1022.579,3.781
455
+ was the first time I had been one in a,1024.679,4.681
456
+ city that big but two in a in a fully,1026.36,4.439
457
+ walkable city,1029.36,2.76
458
+ um some of the Metros were fully,1030.799,2.821
459
+ automated which was really cool because,1032.12,2.76
460
+ you could go all the way up to the front,1033.62,3.6
461
+ and look out the front windows,1034.88,4.799
462
+ um there's buses there's Light Rail and,1037.22,4.5
463
+ then of course uh you know they have the,1039.679,3.9
464
+ tgv which is the high speed rail to get,1041.72,3.599
465
+ outside of the city,1043.579,4.38
466
+ um anyways point being is that there are,1045.319,4.381
467
+ lots of these experiments going on and,1047.959,3.541
468
+ so for people that want to stay living,1049.7,5.099
469
+ inside of a city if you combine those,1051.5,4.919
470
+ micro apartments or those co-living,1054.799,4.201
471
+ situations with walkability that will,1056.419,4.981
472
+ drastically drastically reduce cost of,1059.0,5.039
473
+ living from for many people it will take,1061.4,4.08
474
+ some time to build this up especially,1064.039,3.721
475
+ since we've got so much invested in,1065.48,5.76
476
+ being a car culture but ride sharing,1067.76,5.7
477
+ um and and fully automated cars are,1071.24,3.78
478
+ coming and actually forgot to create a,1073.46,3.599
479
+ slide for this but one of the things,1075.02,3.96
480
+ that a lot of the big auto manufacturers,1077.059,3.601
481
+ want to do is actually have fleets of,1078.98,3.059
482
+ Robo taxis,1080.66,4.62
483
+ and so rather than owning a car you'll,1082.039,5.64
484
+ just use an app to summon you know you,1085.28,4.86
485
+ know a Ford or a Chevy or a Toyota or,1087.679,6.481
486
+ whatever and as uh competition drives,1090.14,5.58
487
+ down price,1094.16,3.78
488
+ um I think I did a calculation once that,1095.72,6.0
489
+ the the total the total annual cost for,1097.94,6.18
490
+ me if I were to if I were able to switch,1101.72,4.44
491
+ to a robo taxi based on the hypothetical,1104.12,5.16
492
+ Rider mile cost would probably be about,1106.16,6.36
493
+ 600 a year and I'm someone who drives 20,1109.28,6.96
494
+ 000 miles per year so the possibility of,1112.52,6.3
495
+ doing rideshares and Robo taxis could,1116.24,4.38
496
+ drastically drastically reduce the cost,1118.82,4.62
497
+ of ownership for um automobiles or,1120.62,4.86
498
+ rather you get rid of the ownership cost,1123.44,4.08
499
+ and you just rent,1125.48,5.579
500
+ uh in real time another thing is if you,1127.52,4.92
501
+ don't want to live in the city because I,1131.059,2.581
502
+ sure as heck don't want to live in the,1132.44,2.88
503
+ city I am not a city boy I'm a country,1133.64,4.86
504
+ boy is what I call coaster Villages and,1135.32,4.68
505
+ these are starting to pop up they're,1138.5,3.179
506
+ often just called like tiny house,1140.0,3.96
507
+ communities or RV communities or,1141.679,5.101
508
+ whatever but again this is one of the,1143.96,5.52
509
+ things where uh where zoning laws need,1146.78,4.68
510
+ to be updated but fortunately these,1149.48,3.9
511
+ experiments are going but basically,1151.46,4.8
512
+ think of the Shire think of hobbiton but,1153.38,4.26
513
+ instead of you know underground houses,1156.26,5.159
514
+ it's tiny houses and Katrina Cottages uh,1157.64,7.38
515
+ and and tag along kind of um kind of,1161.419,6.721
516
+ trailers basically what I anticipate is,1165.02,5.22
517
+ going to happen is that in cheap rural,1168.14,4.919
518
+ land a lot of that land is going to end,1170.24,5.96
519
+ up being used for very very small,1173.059,6.541
520
+ planned nearly self-sufficient not,1176.2,5.08
521
+ necessarily fully self-sufficient I'm,1179.6,4.199
522
+ not saying an Eco Village but rather,1181.28,4.5
523
+ than having uh these things planned,1183.799,4.5
524
+ around cars and subdivisions it'll be,1185.78,5.46
525
+ planned around sustainability and so,1188.299,4.62
526
+ that what I mean by coaster is someone,1191.24,3.12
527
+ who decides you know what I'm just going,1192.919,3.241
528
+ to Coast on Ubi I'm going to be happy,1194.36,3.6
529
+ with that but I also want to live in the,1196.16,3.24
530
+ countryside,1197.96,4.44
531
+ uh you will need things like HOAs uh,1199.4,4.26
532
+ because you know,1202.4,4.68
533
+ uh good regulations and good agreements,1203.66,5.04
534
+ make good neighbors,1207.08,3.78
535
+ um and so you will need stuff like HOAs,1208.7,4.62
536
+ still in some of these places but the,1210.86,4.02
537
+ total cost of living there is going to,1213.32,3.84
538
+ be much much lower because imagine if,1214.88,4.86
539
+ your plot of land and your tiny house is,1217.16,5.28
540
+ about forty thousand dollars total right,1219.74,4.679
541
+ the mortgage payment on that is going to,1222.44,3.54
542
+ be like 80 bucks a month or something,1224.419,4.681
543
+ like that uh maybe well let's say 200,1225.98,5.64
544
+ bucks a month you can afford that,1229.1,5.4
545
+ um that's going to be a tenth of your uh,1231.62,5.6
546
+ monthly two thousand dollars uh income,1234.5,5.22
547
+ uh so between these two possibilities,1237.22,4.42
548
+ walkable cities for those who want the,1239.72,5.1
549
+ urban living and and Tiny House Villages,1241.64,5.34
550
+ out in the countryside we can probably,1244.82,4.979
551
+ accommodate a lot of people very,1246.98,4.92
552
+ efficiently and very cheaply,1249.799,5.641
553
+ Okay cool so I think uh oh and also,1251.9,4.86
554
+ another advantage of these coaster,1255.44,3.0
555
+ Villages is you don't necessarily need a,1256.76,2.4
556
+ car,1258.44,2.7
557
+ uh you know if you live like Bilbo,1259.16,4.68
558
+ Baggins and and Frodo you just walk to,1261.14,4.2
559
+ your neighbors it's a tiny little,1263.84,2.579
560
+ village,1265.34,2.82
561
+ all right now one thing that a lot of,1266.419,5.101
562
+ people ask is okay yeah but what you,1268.16,4.62
563
+ know what if I still want more money,1271.52,3.0
564
+ what if I'm willing to work what if I'm,1272.78,3.24
565
+ able to work,1274.52,3.48
566
+ um what is what are the options going to,1276.02,4.2
567
+ be so that I can still you know make,1278.0,3.9
568
+ some money and get by,1280.22,4.199
569
+ so after doing a lot of research one,1281.9,5.22
570
+ thing that I found is that local goods,1284.419,4.981
571
+ and services there's going to be a lot,1287.12,3.419
572
+ of these that are going to stick around,1289.4,4.44
573
+ and this is because even if a robot can,1290.539,5.101
574
+ do it these are these are things that,1293.84,4.86
575
+ you still prefer a human to do and that,1295.64,4.44
576
+ most humans will be willing to pay,1298.7,3.54
577
+ another human to do so the first,1300.08,4.02
578
+ category is the health and wellness,1302.24,3.84
579
+ stuff so this includes Fitness coaches,1304.1,4.439
580
+ personal trainers massage therapists,1306.08,4.979
581
+ that sort of stuff these are the these,1308.539,4.38
582
+ are the kind of things that require a,1311.059,4.74
583
+ human touch or human empathy or at least,1312.919,4.861
584
+ those are highly preferable,1315.799,4.921
585
+ so this will be things like Barbers and,1317.78,4.62
586
+ dentists and massage therapists that,1320.72,2.959
587
+ sort of thing,1322.4,3.42
588
+ education tutoring mentoring and,1323.679,4.901
589
+ coaching these are also things that uh,1325.82,6.3
590
+ that could be pretty durable against uh,1328.58,6.479
591
+ being automated away certainly uh some,1332.12,4.38
592
+ online learning is going to be fully,1335.059,5.341
593
+ replaced by things like chat gbt,1336.5,5.82
594
+ excuse me many students are already,1340.4,3.899
595
+ using chat GPT for Learning and,1342.32,4.02
596
+ mentoring and tutoring and certainly I,1344.299,3.181
597
+ mean even I use that if there's,1346.34,2.94
598
+ something that I want to learn about it,1347.48,4.26
599
+ is one of the best teaching resources,1349.28,5.16
600
+ out there because it's interactive now,1351.74,4.74
601
+ that being said there are still going to,1354.44,4.92
602
+ be plenty of classes and skills that are,1356.48,4.8
603
+ going to be better taught by a human,1359.36,4.559
604
+ because a human has the same abilities,1361.28,5.16
605
+ and capacities that you do so say for,1363.919,4.26
606
+ instance you go to a painting class or a,1366.44,5.099
607
+ cooking class or a carpentry class those,1368.179,5.161
608
+ are the kinds of things that that you,1371.539,4.38
609
+ will you will prefer to pay for a human,1373.34,4.68
610
+ just for the experience of being with,1375.919,3.921
611
+ other people right,1378.02,5.399
612
+ another thing is going to be experiences,1379.84,5.5
613
+ such as performances and entertainment,1383.419,6.061
614
+ local music stage performances busking,1385.34,6.06
615
+ um you know those sorts of things are,1389.48,4.079
616
+ going to be pretty resilient because,1391.4,4.92
617
+ again we are a social species and so we,1393.559,4.341
618
+ want that connection with other people,1396.32,4.08
619
+ uh Ren fairs or think are going to be,1397.9,4.42
620
+ really popular,1400.4,3.3
621
+ um and so you know you can go set up,1402.32,3.06
622
+ your booth and do face painting at a ren,1403.7,4.02
623
+ fair or or whatever kind of festival or,1405.38,4.56
624
+ convention you want to go to,1407.72,4.439
625
+ um caregiving grooming and hygiene these,1409.94,5.04
626
+ are other things so whether it is child,1412.159,6.9
627
+ care or elder care or Pet Care those,1414.98,5.4
628
+ kinds of jobs are going to be very,1419.059,3.181
629
+ resilient against being fully automated,1420.38,4.919
630
+ away because again even if you do have a,1422.24,4.38
631
+ robot that can take care of grandma,1425.299,3.841
632
+ grandma probably would want to see you,1426.62,5.52
633
+ rather than a robot unless you don't get,1429.14,5.06
634
+ along maybe maybe it's better that way,1432.14,5.519
635
+ but also like your dog right like my dog,1434.2,5.8
636
+ hates machines right so he would freak,1437.659,4.38
637
+ out if if a robot showed up to take him,1440.0,5.4
638
+ for a walk so um you know granted I'll I,1442.039,6.061
639
+ I work at home all day every day so I,1445.4,4.32
640
+ don't need pet walkers but some people,1448.1,2.76
641
+ would,1449.72,3.72
642
+ other domestic services like gardening,1450.86,5.48
643
+ Lawn Care cooking cleaning,1453.44,5.52
644
+ growing and sharing food these are,1456.34,4.959
645
+ things that will probably persist as,1458.96,5.699
646
+ well because again local economies,1461.299,5.641
647
+ circular economies these are rising in,1464.659,5.101
648
+ popularity and then finally Artisan uh,1466.94,5.46
649
+ and and Craftsman handmade Goods arts,1469.76,4.56
650
+ and crafts these are the kinds of things,1472.4,3.72
651
+ that people will really value and,1474.32,3.66
652
+ cherish and it's also something that a,1476.12,2.72
653
+ machine,1477.98,4.76
654
+ intrinsically cannot do in the age where,1478.84,6.4
655
+ machines can make all kinds of furniture,1482.74,4.78
656
+ and mass produce it we still already,1485.24,4.38
657
+ have Etsy where you can buy handmade,1487.52,4.32
658
+ clothing and handmade furniture and,1489.62,5.039
659
+ handmade tools and so the demand is,1491.84,4.8
660
+ already there and one thing that that,1494.659,4.861
661
+ can happen of of SP and yes they're more,1496.64,4.98
662
+ expensive but these are much higher,1499.52,4.26
663
+ quality goods and they're also much more,1501.62,3.299
664
+ durable,1503.78,4.74
665
+ uh so again even if those even if,1504.919,5.461
666
+ mass-produced Goods become cheaper due,1508.52,3.84
667
+ to AI there's still going to be a demand,1510.38,4.679
668
+ for those high quality handmade uh,1512.36,6.299
669
+ unique goods and arts and crafts,1515.059,6.24
670
+ now okay so that's local uh goods and,1518.659,4.861
671
+ services there's also still going to be,1521.299,4.62
672
+ um online and remote so content creators,1523.52,5.7
673
+ like me probably gonna stick around,1525.919,5.521
674
+ um influencers streamers whether it's a,1529.22,4.5
675
+ lifestyle blog or travel blog or,1531.44,4.56
676
+ whatever I follow I started following,1533.72,4.5
677
+ lots of Lifestyle bloggers,1536.0,4.2
678
+ um usually they're attractive uh women,1538.22,4.04
679
+ because you know that's just the pattern,1540.2,5.04
680
+ but I also follow plenty of uh plenty of,1542.26,5.26
681
+ guys who like build stuff or go on,1545.24,4.98
682
+ adventures that kind of thing and the,1547.52,3.899
683
+ reason that I think that these are going,1550.22,3.24
684
+ to stick around is because even if you,1551.419,5.341
685
+ have a fully digital Avatar your brain,1553.46,6.0
686
+ knows that it's fake right some people,1556.76,5.64
687
+ of course will be plenty entertained by,1559.46,5.699
688
+ uh you know a digital Avatar but really,1562.4,5.82
689
+ as a human I want to see another human's,1565.159,5.4
690
+ experience I want to learn from that,1568.22,4.92
691
+ human I want to empathize with that,1570.559,3.541
692
+ person,1573.14,4.019
693
+ and so content influence streamers you,1574.1,4.62
694
+ know it's the personality it's the,1577.159,3.721
695
+ realness the authenticity,1578.72,3.48
696
+ um even if even if there is some,1580.88,3.48
697
+ performance associated with it that's,1582.2,5.099
698
+ what people really want to connect with,1584.36,4.74
699
+ um crowdfunding platforms like patreon,1587.299,3.961
700
+ only fans plenty of other alternatives,1589.1,4.079
701
+ are out there those are going to stick,1591.26,4.98
702
+ around uh and and so basically the two,1593.179,4.561
703
+ ways that you can make money online in,1596.24,3.9
704
+ the future I think are going to be ads,1597.74,4.74
705
+ and crowdfunding there's also white,1600.14,4.68
706
+ label services like subscription-based,1602.48,4.199
707
+ services but that's essentially,1604.82,3.54
708
+ crowdfunding right let's like you you,1606.679,3.801
709
+ pay to get in and then you get access to,1608.36,5.52
710
+ exclusive content game hosts coach,1610.48,5.5
711
+ coaches and and trainers of various,1613.88,4.44
712
+ kinds so one of my patreon supporters is,1615.98,5.04
713
+ actually a a professional online coach,1618.32,5.4
714
+ and she teaches other coaches and this,1621.02,5.399
715
+ is actually a really really huge uh,1623.72,4.5
716
+ Market segment I had no idea how big it,1626.419,2.701
717
+ was,1628.22,3.66
718
+ um but again having that one-on-one time,1629.12,4.439
719
+ with someone where you can say hey this,1631.88,2.76
720
+ is what I'm struggling dealing with,1633.559,2.581
721
+ because we're humans we're always going,1634.64,4.139
722
+ to be struggling with something right,1636.14,4.26
723
+ um but then like Game host there's paid,1638.779,3.541
724
+ dungeon Masters that can host uh they,1640.4,4.5
725
+ can run d d campaigns for you all kinds,1642.32,4.8
726
+ of stuff is possible online that are,1644.9,4.56
727
+ intrinsically better done if it's a,1647.12,4.14
728
+ human that being said there are plenty,1649.46,3.719
729
+ of people working on using GPT,1651.26,4.74
730
+ Technologies to automate uh uh you know,1653.179,4.681
731
+ game hosts and that sort of stuff so,1656.0,3.659
732
+ some of this is going to be is going to,1657.86,2.64
733
+ change,1659.659,3.12
734
+ but a lot of these things again people,1660.5,6.299
735
+ are willing are are the demand for the,1662.779,5.701
736
+ human is high enough that people are,1666.799,3.541
737
+ going to be willing to pay for it,1668.48,4.98
738
+ uh now on top of making more money on,1670.34,6.18
739
+ with the Ubi uh there is also a lot that,1673.46,4.86
740
+ you can do to reduce to further reduce,1676.52,4.2
741
+ costs obviously the biggest things are,1678.32,3.9
742
+ housing and transportation we already,1680.72,2.819
743
+ talked about how to reduce the cost,1682.22,3.42
744
+ there there's a lot of other stuff that,1683.539,4.441
745
+ we can do to keep reducing costs in,1685.64,4.32
746
+ order to make better use of the free,1687.98,4.079
747
+ time that we have so for instance tool,1689.96,4.02
748
+ sharing tool libraries,1692.059,3.36
749
+ um there's actually I didn't realize,1693.98,4.38
750
+ this but many County Libraries or or um,1695.419,5.521
751
+ you know City libraries already have,1698.36,4.98
752
+ tools that you can check out uh and then,1700.94,4.14
753
+ of course if the demand for that goes up,1703.34,4.38
754
+ then libraries you know will continue to,1705.08,5.52
755
+ do that there's also maker spaces that,1707.72,4.62
756
+ you can join usually with a small fee,1710.6,3.36
757
+ that give you a space to build stuff and,1712.34,4.74
758
+ borrow tools circular economics which is,1713.96,5.12
759
+ you know reusing as much as you can,1717.08,3.719
760
+ refurbishing stuff we're going to talk,1719.08,3.219
761
+ about refurbishing more in a future,1720.799,2.941
762
+ slide,1722.299,4.081
763
+ uh clothing exchanges clothing swaps,1723.74,5.22
764
+ other good swaps like one thing that I,1726.38,5.399
765
+ do is that uh every now and then,1728.96,4.8
766
+ um I just I have a folding card table,1731.779,3.721
767
+ and I'll put it out by the road and I,1733.76,4.86
768
+ just will give stuff away right and so,1735.5,5.279
769
+ um by just giving stuff away and sharing,1738.62,4.919
770
+ right you don't even have to worry about,1740.779,4.741
771
+ um you know bartering or exchanging or,1743.539,4.861
772
+ buying stuff just giving stuff away and,1745.52,5.88
773
+ and making use of those um essentially,1748.4,5.519
774
+ community-based donations sharing,1751.4,5.7
775
+ Services as well so say for instance,1753.919,5.281
776
+ um you know you might provide child care,1757.1,3.78
777
+ for people in your community not,1759.2,3.719
778
+ necessarily for pay but in exchange they,1760.88,4.919
779
+ give you food or something right so that,1762.919,5.101
780
+ goes back to bartering and trading uh,1765.799,5.88
781
+ DIY skills uh repairing things fixing,1768.02,5.879
782
+ things uh cleaning up whatever there's,1771.679,4.141
783
+ lots and lots of value that you can get,1773.899,5.101
784
+ by learning more skills and thus further,1775.82,4.8
785
+ reducing costs,1779.0,3.6
786
+ uh caregiving domestic stuff I already,1780.62,3.0
787
+ mentioned that,1782.6,3.299
788
+ okay so let's talk about the psychology,1783.62,3.6
789
+ of this one thing that people are,1785.899,3.121
790
+ concerned about is yeah but what do you,1787.22,4.38
791
+ do for fun what do you do for a sense of,1789.02,4.62
792
+ Mastery what do you do for challenge if,1791.6,4.74
793
+ I lose my job you know how do I have any,1793.64,4.8
794
+ sense of self-esteem so let's talk about,1796.34,5.16
795
+ the psychology of living under Ubi,1798.44,5.94
796
+ first we're going to talk about what,1801.5,4.86
797
+ we're going to use Frameworks for this,1804.38,4.2
798
+ so first one of the most famous ones is,1806.36,4.38
799
+ Maslow's hierarchy of needs so if you're,1808.58,3.9
800
+ not familiar with Maslow's hierarchy of,1810.74,3.84
801
+ needs it is basically just this pyramid,1812.48,4.62
802
+ which is color coded like the food,1814.58,5.94
803
+ pyramid if you're in America but it says,1817.1,5.699
804
+ you need to satisfy these needs starting,1820.52,4.62
805
+ from bottom to top so physiological,1822.799,4.321
806
+ needs include air water food shelter,1825.14,4.44
807
+ sleep that sort of stuff safety needs,1827.12,4.38
808
+ which is about you know are you in,1829.58,5.219
809
+ physical danger do you feel safe at home,1831.5,6.659
810
+ is is your environment quiet enough are,1834.799,5.281
811
+ there any you know dangerous smells or,1838.159,4.081
812
+ chemicals or whatever,1840.08,4.44
813
+ above that once you have those needs met,1842.24,5.28
814
+ the next most fundamental need is love,1844.52,4.92
815
+ and belonging so you need friends you,1847.52,4.5
816
+ need family you need to feel that human,1849.44,4.859
817
+ connection and of course we're in a,1852.02,3.72
818
+ loneliness crisis I think something like,1854.299,3.6
819
+ 30 percent of young people today don't,1855.74,4.679
820
+ have a single like best friend which is,1857.899,4.441
821
+ really horrible and I'm hoping that Ubi,1860.419,4.441
822
+ gives us more free time to connect with,1862.34,5.64
823
+ people uh above love and belonging you,1864.86,5.299
824
+ need esteem self-esteem which is,1867.98,5.22
825
+ self-respect status recognition that,1870.159,4.481
826
+ sort of stuff,1873.2,3.719
827
+ and then finally self-actualization so,1874.64,3.48
828
+ this is what a lot of people are,1876.919,3.36
829
+ referring to when they when they worry,1878.12,4.559
830
+ about okay well if I lose my job what am,1880.279,3.841
831
+ I going to do I need some kind of,1882.679,2.821
832
+ self-actualization and so,1884.12,4.38
833
+ self-actualization is the impulse to,1885.5,5.52
834
+ become the best version of yourself that,1888.5,4.5
835
+ is the that is the version to reach your,1891.02,5.1
836
+ highest level right uh and so these are,1893.0,4.559
837
+ things that are still going to need to,1896.12,3.659
838
+ be there and we'll talk about this,1897.559,4.681
839
+ um in future slides,1899.779,4.321
840
+ um in terms of how can how can you,1902.24,3.84
841
+ achieve your best the best version of,1904.1,3.199
842
+ yourself,1906.08,4.199
843
+ another framework that I'm a big fan of,1907.299,5.5
844
+ is what's called TLC or therapeutic,1910.279,4.861
845
+ Lifestyle Changes this was a model that,1912.799,4.62
846
+ was developed by Roger Walsh and it is,1915.14,4.38
847
+ an eight-point framework that talks,1917.419,4.021
848
+ about how do you make a better life for,1919.52,3.24
849
+ yourself,1921.44,3.66
850
+ so the framework is pretty simple pretty,1922.76,4.08
851
+ straightforward one and this is in no,1925.1,3.78
852
+ particular order by the way one,1926.84,4.5
853
+ spirituality so being involved in some,1928.88,3.899
854
+ kind of spirituality doesn't have to be,1931.34,3.719
855
+ a mega church or anything like that,1932.779,5.101
856
+ um you know paganism witchcraft uh Neo,1935.059,6.6
857
+ Hellenism uh uh all kinds of stuff Norse,1937.88,5.7
858
+ reconstructionists lots and lots of,1941.659,3.541
859
+ spiritual Frameworks are kind of,1943.58,4.92
860
+ becoming popular as uh certainly a lot,1945.2,6.18
861
+ of us younger people are more Pagan,1948.5,5.159
862
+ um giving back so volunteering and,1951.38,4.2
863
+ community service is one of the things,1953.659,3.9
864
+ that um you know again we kind of,1955.58,4.14
865
+ alluded to this already in terms of cost,1957.559,5.0
866
+ reduction but giving back volunteering,1959.72,5.699
867
+ giving your time is actually a really,1962.559,5.561
868
+ good way to build up self-esteem it's,1965.419,4.561
869
+ deeply satisfying,1968.12,3.659
870
+ um like I said one thing that I love is,1969.98,4.679
871
+ just giving stuff away and if I had more,1971.779,5.581
872
+ free time and and uh and energy I would,1974.659,5.161
873
+ probably volunteer more because I have,1977.36,5.46
874
+ certain skills and you know honestly uh,1979.82,5.28
875
+ a lot of the code that I give away,1982.82,3.9
876
+ because I publish all of my code under,1985.1,4.38
877
+ under or open source standards to me,1986.72,4.26
878
+ that is kind of like giving back and,1989.48,3.12
879
+ it's very satisfying I love seeing the,1990.98,3.539
880
+ little stars and forks on my GitHub,1992.6,4.86
881
+ repos time in nature,1994.519,4.861
882
+ um hiking walking going to the lake,1997.46,4.439
883
+ whatever this is really important for,1999.38,4.5
884
+ your physical and mental health I go for,2001.899,4.38
885
+ a walk pretty much every day at lunch,2003.88,4.44
886
+ unless the weather is bad or unless I'm,2006.279,4.38
887
+ sick or too tired recreational,2008.32,3.9
888
+ activities we're going to talk a lot,2010.659,3.481
889
+ about recreational activities and,2012.22,4.74
890
+ upcoming slides rest in relaxation if,2014.14,4.139
891
+ you don't have to go to work you can,2016.96,2.699
892
+ spend a lot more time resting and,2018.279,3.961
893
+ relaxing diet and nutrition we've talked,2019.659,5.281
894
+ a lot about uh how or we will talk more,2022.24,5.4
895
+ about how all the free time that you get,2024.94,4.68
896
+ from Ubi will allow you to do things,2027.64,3.72
897
+ like gardening but also allow you to,2029.62,3.12
898
+ learn to cook and spend more time,2031.36,3.24
899
+ cooking because a lot of people don't,2032.74,4.14
900
+ have time to cook good meals because,2034.6,5.579
901
+ they're too busy working and resting and,2036.88,5.519
902
+ so Ubi with additional free time will,2040.179,4.201
903
+ help people really improve their diet,2042.399,4.921
904
+ and nutrition seven exercise and,2044.38,5.4
905
+ activity so this is like exercising for,2047.32,4.2
906
+ the sake of exercise,2049.78,3.839
907
+ um which for me I get that with time and,2051.52,4.139
908
+ nature because I go for walks um and I,2053.619,4.321
909
+ also uh like to do other things although,2055.659,4.081
910
+ I haven't done it as much lately hiking,2057.94,4.5
911
+ climbing that sort of stuff kayaking uh,2059.74,4.139
912
+ relationships in connection we already,2062.44,2.76
913
+ talked about relationships and,2063.879,2.401
914
+ connection,2065.2,3.179
915
+ um in Maslow's hierarchy of needs and,2066.28,3.78
916
+ also you'll see that relationships and,2068.379,3.0
917
+ connections spending time with friends,2070.06,4.26
918
+ and family is is common for all,2071.379,5.48
919
+ psychological well-being Frameworks,2074.32,5.099
920
+ self-determination Theory this is one of,2076.859,4.24
921
+ my favorite Frameworks because it is so,2079.419,4.081
922
+ simple and it kind of encapsulates a lot,2081.099,4.381
923
+ but it's also not a hierarchy it's you,2083.5,4.679
924
+ need all three of these at all times,2085.48,4.58
925
+ um and so the idea is that,2088.179,3.96
926
+ self-determination theory is this is,2090.06,3.64
927
+ what is this is what people are,2092.139,3.96
928
+ intrinsically motivated by these are the,2093.7,4.2
929
+ intrinsic psychological needs of all,2096.099,4.981
930
+ humans so first is autonomy,2097.9,5.52
931
+ um or individual liberty we need to feel,2101.08,4.56
932
+ like we are in control of our lives and,2103.42,5.04
933
+ our fate this is absolutely critical for,2105.64,5.28
934
+ All Humans even humans in collectivist,2108.46,4.56
935
+ societies there's always a tension,2110.92,5.52
936
+ between individual needs and group needs,2113.02,4.92
937
+ um but that's intrinsic to all social,2116.44,3.899
938
+ species it's about balancing the self,2117.94,5.399
939
+ versus the group desire for competence,2120.339,5.641
940
+ and Mastery so this is this has to do,2123.339,4.561
941
+ with Maslow's top hierarchy of needs,2125.98,2.82
942
+ which is self-esteem and,2127.9,3.179
943
+ self-actualization so competence and,2128.8,4.74
944
+ Mastery the the basically feeling like,2131.079,4.441
945
+ you're good at something one way to,2133.54,3.96
946
+ measure this is that we Thrive with,2135.52,4.44
947
+ what's called optimal stress so optimal,2137.5,3.96
948
+ stress means that you need some kind of,2139.96,2.46
949
+ challenge,2141.46,3.18
950
+ for instance people play Elden ring,2142.42,4.439
951
+ people play Dark Souls these really,2144.64,5.16
952
+ frustrating impossible games that I,2146.859,5.22
953
+ personally don't like but the idea is,2149.8,4.02
954
+ that you try and fail and then when you,2152.079,4.02
955
+ finally succeed you feel a sense of,2153.82,3.84
956
+ Mastery right and of course video games,2156.099,3.061
957
+ are not the only way to get Mastery but,2157.66,3.0
958
+ video games are a good way to get a,2159.16,3.48
959
+ sense of Mastery and as we'll talk about,2160.66,3.66
960
+ once we talk about Hobbies there are,2162.64,4.14
961
+ lots and lots of of other ways to get,2164.32,4.92
962
+ that sense of Mastery finally desire for,2166.78,4.559
963
+ relatedness and connection as a social,2169.24,4.26
964
+ species we are intrinsically motivated,2171.339,4.441
965
+ to seek out connection with others and,2173.5,4.26
966
+ so by keeping in mind what our intrinsic,2175.78,4.38
967
+ base needs are and building a life,2177.76,4.68
968
+ around that we can still maintain our,2180.16,4.439
969
+ psychological well-being even if we,2182.44,4.62
970
+ don't have a career at least a,2184.599,3.841
971
+ conventional career that we're familiar,2187.06,2.34
972
+ with,2188.44,4.139
973
+ okay as I promised Hobbies this is the,2189.4,4.56
974
+ last section of the video and this is,2192.579,3.361
975
+ honestly where I had the most fun and it,2193.96,4.02
976
+ made me really realize I am looking,2195.94,3.6
977
+ forward to this,2197.98,3.06
978
+ um so I'm gonna do everything that I can,2199.54,4.2
979
+ to help make this future State come to,2201.04,5.16
980
+ fruition with my YouTube channel and my,2203.74,4.8
981
+ open source research so the first thing,2206.2,4.74
982
+ obviously gaming a lot of you tell me,2208.54,3.96
983
+ how excited you are for the possibility,2210.94,4.2
984
+ of fdvr which means full dive virtual,2212.5,3.839
985
+ reality,2215.14,3.959
986
+ everyone knows what fdvr is you saw it,2216.339,4.561
987
+ in the Matrix the idea is that you plug,2219.099,4.74
988
+ your head in and as far as you can tell,2220.9,5.1
989
+ it is a hundred percent real we also,2223.839,4.02
990
+ explored this with um Ready Player one,2226.0,4.68
991
+ which had like a haptic suits,2227.859,4.5
992
+ um I don't know if it's possible a,2230.68,3.06
993
+ haptic suit seems like it's probably,2232.359,4.441
994
+ more possible in the near term full dive,2233.74,4.74
995
+ VR such as the what you see in the,2236.8,3.96
996
+ Matrix might not be possible but you,2238.48,4.56
997
+ never know people are working on brain,2240.76,4.2
998
+ computer interfaces so if you can just,2243.04,3.72
999
+ plug in all the sensory information,2244.96,4.02
1000
+ directly into your head maybe it's,2246.76,4.38
1001
+ possible anyways whatever you want to do,2248.98,3.78
1002
+ whatever experience you want to have,2251.14,3.959
1003
+ should hypothetically be possible with,2252.76,5.04
1004
+ fdvr,2255.099,4.74
1005
+ um a part of gaming is that it can be,2257.8,4.38
1006
+ social right game with friends whether,2259.839,4.981
1007
+ you're competing online with friends uh,2262.18,4.38
1008
+ or you got a guild or a clan that you've,2264.82,2.58
1009
+ built,2266.56,2.82
1010
+ um you can also uh do parallel play in,2267.4,4.199
1011
+ person so this is what um I do with my,2269.38,3.959
1012
+ wife we Heckle each other,2271.599,3.24
1013
+ um while she's playing Assassin's Creed,2273.339,2.76
1014
+ I'll be like hey did you know that,2274.839,2.821
1015
+ you're on fire and she's like yes Dave I,2276.099,3.561
1016
+ know that I'm on fire uh you know,2277.66,4.56
1017
+ parallel play is a great thing to do,2279.66,4.3
1018
+ with friends you can sit around you know,2282.22,3.18
1019
+ I used to do this back in my college,2283.96,3.42
1020
+ days with my buddies drinking a couple,2285.4,3.959
1021
+ beers playing Call of Duty Trolling each,2287.38,4.68
1022
+ other it can be a really great thing and,2289.359,4.26
1023
+ I'm glad to see that the younger,2292.06,4.2
1024
+ Generations do this still my nephew and,2293.619,3.96
1025
+ all of his friends they play Minecraft,2296.26,3.66
1026
+ together and other things,2297.579,4.081
1027
+ um there are what I will say is there,2299.92,4.26
1028
+ are some potential downsides screen time,2301.66,4.98
1029
+ can be detrimental to your health but if,2304.18,3.72
1030
+ you balance it with some of the other,2306.64,3.66
1031
+ things like in the therapeutic Lifestyle,2307.9,4.02
1032
+ Changes make sure that you go outside,2310.3,3.36
1033
+ touch grass as kids are saying these,2311.92,3.659
1034
+ days,2313.66,3.48
1035
+ um it can also be addictive and,2315.579,4.381
1036
+ isolation as possible I do suspect that,2317.14,6.0
1037
+ we will see legislation coming that kind,2319.96,5.1
1038
+ of at least provides warnings for how,2323.14,4.14
1039
+ addictive things are there's a book that,2325.06,4.38
1040
+ I refer to often called liquid rain,2327.28,4.86
1041
+ where they talk about how uh full dive,2329.44,4.74
1042
+ VR could actually be programmatically,2332.14,3.6
1043
+ addictive like where it could just,2334.18,3.899
1044
+ stimulate your dopamine and so you feel,2335.74,3.72
1045
+ like you're having more fun than you,2338.079,3.181
1046
+ actually are and then when you're not in,2339.46,3.36
1047
+ the full dive VR you could you could,2341.26,3.66
1048
+ like physically crave it and get sick if,2342.82,3.9
1049
+ you don't have it so we do need to be,2344.92,4.08
1050
+ careful with um creating gaming as a,2346.72,3.98
1051
+ central lifestyle,2349.0,5.82
1052
+ and another thing is that a gaming world,2350.7,5.98
1053
+ is not necessarily the real world and,2354.82,3.48
1054
+ most people's brains will keep track of,2356.68,4.2
1055
+ that difference and so it might not be,2358.3,4.38
1056
+ good for self-actualization for instance,2360.88,4.26
1057
+ if you're if you're a gamer you might,2362.68,4.14
1058
+ not uh get the sense that you're,2365.14,3.6
1059
+ reaching your full potential that being,2366.82,4.14
1060
+ said if you're a competitive gamer uh,2368.74,3.66
1061
+ maybe that is the way that you reach,2370.96,3.119
1062
+ your full potential,2372.4,4.5
1063
+ making and fixing things we humans,2374.079,5.161
1064
+ evolved to use our hands that is why we,2376.9,4.02
1065
+ have so much dexterity in our hands we,2379.24,5.099
1066
+ are the tool users and so one of my best,2380.92,4.919
1067
+ friends from back in the day is working,2384.339,3.421
1068
+ on rebuilding a thistle so this is a,2385.839,4.321
1069
+ thistle it's a small racing boat,2387.76,4.8
1070
+ we would be doing this all day every day,2390.16,5.88
1071
+ if we had Ubi and no need to uh work for,2392.56,4.799
1072
+ money,2396.04,3.18
1073
+ um because the the shop where he's,2397.359,4.321
1074
+ rebuilding his there's two other ones,2399.22,3.96
1075
+ that are just waiting for someone to,2401.68,3.3
1076
+ come and fix and if I had the time,2403.18,4.14
1077
+ that's what I'd be doing why because,2404.98,4.02
1078
+ it's something that my friend does and,2407.32,3.84
1079
+ you can then race it and do competitive,2409.0,4.14
1080
+ stuff but there's also skill building,2411.16,4.439
1081
+ right the sense of Mastery that you get,2413.14,4.199
1082
+ from building something from fixing it,2415.599,3.661
1083
+ and then having that thing that you can,2417.339,4.561
1084
+ show off and use this is a really great,2419.26,4.74
1085
+ way to get a sense of Mastery there's,2421.9,3.36
1086
+ plenty of other things that people do,2424.0,3.78
1087
+ lots of guys like rebuild Mustangs or,2425.26,6.48
1088
+ Corvettes fixing up old houses and other,2427.78,7.44
1089
+ things so reusing refurbishing fixing,2431.74,6.24
1090
+ building things these are really great,2435.22,5.34
1091
+ ways that also tap into really Primal,2437.98,4.44
1092
+ needs for humans,2440.56,3.18
1093
+ some of the things that are really,2442.42,3.54
1094
+ popular today particularly with young,2443.74,5.04
1095
+ people forging leather working sewing,2445.96,5.22
1096
+ other carpentry all of these things,2448.78,5.579
1097
+ revolve around tool use and so whatever,2451.18,5.7
1098
+ hobby you pick up if it uses tools,2454.359,5.041
1099
+ chances are there's a lot of skills,2456.88,4.199
1100
+ involved which can also lead to that,2459.4,4.32
1101
+ sense of Mastery cooking I mentioned,2461.079,4.561
1102
+ this earlier cooking is one of the,2463.72,3.54
1103
+ oldest trades one of the oldest,2465.64,3.6
1104
+ professions out there and everyone needs,2467.26,3.48
1105
+ to eat plus cooking is a good social,2469.24,4.32
1106
+ activity my wife and I cook together,2470.74,4.74
1107
+ pretty much every day or at least we,2473.56,4.74
1108
+ take turns some people compulsively cook,2475.48,4.379
1109
+ and feed other people my sister-in-law,2478.3,2.94
1110
+ is like that she loves cooking for,2479.859,4.021
1111
+ people point being is that there is,2481.24,4.339
1112
+ there are a lot of hobbies out there,2483.88,4.68
1113
+ that center around making or fixing,2485.579,4.301
1114
+ things,2488.56,4.5
1115
+ outdoor stuff hiking climbing canoeing,2489.88,5.82
1116
+ boating whatever there's all kinds of,2493.06,6.96
1117
+ stuff that we could stand to do more of,2495.7,6.419
1118
+ um if you uh if you had more free time,2500.02,3.54
1119
+ because you didn't have to work because,2502.119,3.661
1120
+ you didn't have to be at a desk or at an,2503.56,5.4
1121
+ office or at the store or whatever,2505.78,4.92
1122
+ um you know and it's not just fishing,2508.96,3.18
1123
+ obviously that's the prototypical,2510.7,3.419
1124
+ example where you know you know a guy,2512.14,3.959
1125
+ gets to retirement age and he decides,2514.119,3.541
1126
+ he's going to go fishing every day not,2516.099,3.48
1127
+ everyone wants to do that I get it,2517.66,4.14
1128
+ um you could do competitive fishing,2519.579,4.561
1129
+ um but there's also other uh kinds of,2521.8,4.02
1130
+ competitive outdoor stuff like,2524.14,3.42
1131
+ cross-country challenges I ran Tough,2525.82,4.019
1132
+ Mudder almost 10 years ago and I was,2527.56,5.279
1133
+ hungover as heck when I ran it I was not,2529.839,4.681
1134
+ hungover by the end of it I burned all,2532.839,4.921
1135
+ that all that uh all that toxins off,2534.52,5.52
1136
+ um skiing kayaking all kinds of really,2537.76,3.54
1137
+ challenging stuff that you can do,2540.04,3.24
1138
+ outside a lot of my friends picked up,2541.3,3.72
1139
+ mountain biking which you could do,2543.28,4.02
1140
+ practically anywhere,2545.02,5.339
1141
+ um uh during the pandemic uh so one,2547.3,4.38
1142
+ thing that I realized when I was making,2550.359,3.541
1143
+ this video is that if if we got Ubi,2551.68,3.6
1144
+ tomorrow,2553.9,2.58
1145
+ um I would probably go hike the,2555.28,3.9
1146
+ Appalachian Trail I love being outside I,2556.48,4.379
1147
+ love being in the mountains and that is,2559.18,2.939
1148
+ something that I want to do but right,2560.859,3.541
1149
+ now my brain is like well I'm still,2562.119,4.141
1150
+ gonna make YouTube I still got to do AI,2564.4,3.36
1151
+ stuff I still have meetings with my,2566.26,3.42
1152
+ patreon supporters so doing the,2567.76,3.66
1153
+ Appalachian Trail is not really an,2569.68,3.419
1154
+ option for me right now unless I were to,2571.42,3.659
1155
+ take like three months off which maybe I,2573.099,5.76
1156
+ should anyways Fitness Fitness is the,2575.079,5.821
1157
+ most familiar model that a lot of people,2578.859,4.74
1158
+ use to get Mastery whether it's yoga or,2580.9,6.419
1159
+ Pilates or running or cycling martial,2583.599,6.541
1160
+ arts uh strength training these are all,2587.319,4.141
1161
+ things that people,2590.14,4.02
1162
+ um many many people do and and it can be,2591.46,5.22
1163
+ a little cultish for some people there's,2594.16,4.439
1164
+ also Fitness based competitions like,2596.68,4.32
1165
+ Iron Man American Ninja that sort of,2598.599,3.181
1166
+ stuff,2601.0,3.14
1167
+ that being said there are many many many,2601.78,4.74
1168
+ additional benefits,2604.14,4.479
1169
+ um other than just you know it's,2606.52,5.339
1170
+ something to do uh better Fitness it,2608.619,5.521
1171
+ leads to reduced pain increased Health,2611.859,4.921
1172
+ uh cognitive benefits emotional benefits,2614.14,4.5
1173
+ plus you get to show off your body right,2616.78,3.839
1174
+ there's lots of people that love being,2618.64,4.5
1175
+ fit just for the sake of feeling sexy,2620.619,5.041
1176
+ right there are so many people that,2623.14,4.679
1177
+ um that I'm that I knew and have met and,2625.66,5.52
1178
+ and where they decided to get fit,2627.819,5.04
1179
+ um you know started climbing started,2631.18,4.26
1180
+ going to the gym and the the the,2632.859,4.98
1181
+ transformation that they felt as they,2635.44,4.44
1182
+ felt better about themselves about their,2637.839,4.081
1183
+ body the sense of accomplishment that,2639.88,4.08
1184
+ they get from that is incredible,2641.92,3.659
1185
+ and still not for everyone so I want to,2643.96,4.08
1186
+ say like okay even if you have all the,2645.579,3.721
1187
+ options in the world and you decide that,2648.04,4.44
1188
+ exercise isn't for you that's fine or or,2649.3,5.519
1189
+ fitness exercises for everyone Fitness,2652.48,5.52
1190
+ might not be for you meetups so I am a,2654.819,5.401
1191
+ huge fan of meetup.com I actually met my,2658.0,4.38
1192
+ now wife at a Meetup,2660.22,3.899
1193
+ um we're both writers,2662.38,3.9
1194
+ um so the the kinds of tools that are,2664.119,3.901
1195
+ out there so meetup.com is there,2666.28,4.44
1196
+ specifically for finding people with the,2668.02,5.46
1197
+ same interests challenges or whatever,2670.72,7.5
1198
+ right uh so meetup.com it's free to join,2673.48,6.54
1199
+ um I tell people about it all the time I,2678.22,3.18
1200
+ think more people should be on Meetup,2680.02,2.88
1201
+ whether,2681.4,3.199
1202
+ um you know you have a special interest,2682.9,3.959
1203
+ or if you've got something that you're,2684.599,3.941
1204
+ coping with there's there's uh support,2686.859,3.061
1205
+ groups,2688.54,4.26
1206
+ um on Meetup I host a local AI Meetup,2689.92,6.179
1207
+ I'm actually going to that later today,2692.8,5.46
1208
+ um let's see there's intellectual kinds,2696.099,4.321
1209
+ of things there's chess clubs there's,2698.26,5.22
1210
+ spirituality uh clubs Arts crafts,2700.42,5.52
1211
+ photography all kinds of stuff,2703.48,4.859
1212
+ whatever your interest is especially if,2705.94,4.919
1213
+ you live in a city you can find other,2708.339,4.76
1214
+ people that have that same interest,2710.859,5.46
1215
+ which is a really great way,2713.099,5.441
1216
+ um to get those that's that social,2716.319,4.201
1217
+ connection but then also some of these,2718.54,4.62
1218
+ things can lead to senses of Mastery for,2720.52,3.9
1219
+ instance,2723.16,5.52
1220
+ all right so this is life under Ubi uh I,2724.42,6.0
1221
+ hope that you got a lot out of this,2728.68,3.179
1222
+ um and like I said making this video,2730.42,3.899
1223
+ actually I kind of clarified a lot for,2731.859,4.681
1224
+ myself and it makes me personally a lot,2734.319,5.52
1225
+ more excited for the future and I'm,2736.54,5.579
1226
+ personally this was probably the most,2739.839,5.101
1227
+ fun that I've had making a video uh yet,2742.119,6.321
1228
+ so anyways cheers,2744.94,3.5
Microsoft LongNet One BILLION Tokens LLM OpenAI SuperAlignment SINGULARITY APPROACHES_transcript.csv ADDED
@@ -0,0 +1,470 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.0,7.379
3
+ with a surprise update so yesterday July,2.46,8.46
4
+ 5th this paper dropped long net scaling,7.379,6.541
5
+ Transformers to 1 billion,10.92,4.44
6
+ tokens,13.92,4.619
7
+ now to put this in context,15.36,6.48
8
+ this is a three gigapixel image which,18.539,7.381
9
+ you can make sense of at a glance,21.84,6.9
10
+ and I'm not going to dig too deep into,25.92,5.88
11
+ the uh the cognitive neuroscience and,28.74,5.64
12
+ neurological mechanisms about why you,31.8,5.34
13
+ can make sense of so much information so,34.38,4.08
14
+ quickly but if you want to learn more,37.14,3.06
15
+ about that I recommend the forgetting,38.46,3.779
16
+ machine,40.2,5.1
17
+ but what I want to point out is that you,42.239,4.681
18
+ can take a glance at this image and then,45.3,4.259
19
+ you can zoom in and you understand the,46.92,5.28
20
+ implications of every little bit of this,49.559,5.221
21
+ image this is clearly an arid mountain,52.2,4.499
22
+ range there's a road going across it,54.78,4.2
23
+ there's uh some Haze there's a city in,56.699,4.561
24
+ the background you can keep track of all,58.98,4.32
25
+ of that information at once just by,61.26,4.5
26
+ glancing at this image and then when you,63.3,4.08
27
+ zoom in,65.76,3.899
28
+ you can say oh look there's a nice house,67.38,3.9
29
+ on the hillside and you can keep track,69.659,4.261
30
+ of that information in the context of,71.28,4.699
31
+ this three gigapixel image,73.92,6.239
32
+ this is fundamentally what sparse,75.979,7.78
33
+ attention is and that is how this paper,80.159,6.241
34
+ solves the problem of reading a billion,83.759,3.841
35
+ tokens,86.4,4.5
36
+ so let's unpack this a little bit first,87.6,6.12
37
+ I love this chart this is this is a,90.9,4.38
38
+ really hilarious Flex right at the,93.72,3.0
39
+ beginning of this paper right under the,95.28,4.68
40
+ abstract they're like okay you know 512,96.72,8.64
41
+ uh 12K 64k tokens uh 262 a million,99.96,7.08
42
+ tokens and then here's us a billion,105.36,4.5
43
+ tokens so good job oh also I want to,107.04,5.219
44
+ point out this is from Microsoft this is,109.86,4.56
45
+ not just from some Podunk you know,112.259,4.621
46
+ Backwater University this is Microsoft,114.42,4.8
47
+ you know who's in partnership with,116.88,5.94
48
+ openai uh and so I saw a post somewhere,119.22,4.56
49
+ I think it was a tweet or something,122.82,2.399
50
+ someone's like Microsoft seems like,123.78,3.54
51
+ they're really just falling down on AI,125.219,3.661
52
+ research and I have no idea what rock,127.32,3.48
53
+ they're living under but pay attention,128.88,4.92
54
+ to Microsoft my money is on Microsoft,130.8,5.88
55
+ and Nvidia uh for for the AI race and,133.8,4.56
56
+ then of course there's Google,136.68,3.779
57
+ um but I don't understand get Google's,138.36,3.42
58
+ business model because they invented,140.459,2.701
59
+ this stuff and then sat on it for seven,141.78,3.24
60
+ years so I have no idea what Google's,143.16,4.92
61
+ doing anyways sorry I digress,145.02,8.1
62
+ okay billion tokens seems kind of,148.08,8.28
63
+ out there kind of hyperbolic right the,153.12,7.259
64
+ the chief uh Innovation here is one they,156.36,5.519
65
+ they have a training algorithm which I,160.379,2.64
66
+ don't care about that as much I mean,161.879,2.881
67
+ distributed training okay lots of people,163.019,3.661
68
+ have been working on that but the chief,164.76,3.9
69
+ Innovation here is what they call,166.68,5.88
70
+ dilation so let me uh bring that up uh,168.66,6.299
71
+ so what they do is let's see hang on,172.56,3.72
72
+ where did it go where did it go where's,174.959,3.661
73
+ the dilation diagram all right so what,176.28,4.5
74
+ it allows it to do a dilated attention,178.62,3.24
75
+ sorry,180.78,3.48
76
+ so what dilated attention allows it to,181.86,4.26
77
+ do is to zoom out,184.26,4.559
78
+ and take in the entire sequence all at,186.12,6.32
79
+ once which controls the amount of memory,188.819,6.42
80
+ uh and computation that it takes to take,192.44,6.1
81
+ in that large sequence just like you and,195.239,5.821
82
+ your brain zooming in and out,198.54,5.339
83
+ and keeping the entire context of this,201.06,6.179
84
+ image in mind,203.879,6.061
85
+ at the same time,207.239,5.041
86
+ and so the way that it does that is,209.94,5.7
87
+ actually relatively similar,212.28,6.06
88
+ to the way that human brains do it hang,215.64,4.86
89
+ on hang on where did it go I'm missing,218.34,5.58
90
+ the diagram okay so what they do,220.5,5.64
91
+ is they create sparse representations,223.92,3.899
92
+ and those who have been following me for,226.14,3.42
93
+ a while you might remember when I came,227.819,3.121
94
+ up with the idea of sparse priming,229.56,3.959
95
+ representations this is something to pay,230.94,5.579
96
+ attention to because what I realized is,233.519,4.921
97
+ that language models only need a few,236.519,3.961
98
+ Clues just a few breadcrumbs to remind,238.44,5.219
99
+ it to cue in as to what is going on in,240.48,4.74
100
+ the message to what's going on in the,243.659,3.601
101
+ memories and this is actually why it's,245.22,3.84
102
+ really good at you just give it a tiny,247.26,4.199
103
+ chunk of text and it can infer the rest,249.06,5.7
104
+ why because it has read so much that it,251.459,5.46
105
+ is able to infer what came before that,254.76,4.62
106
+ text and what came after and so by,256.919,4.921
107
+ zooming out and creating these really,259.38,4.92
108
+ sparse representations of larger,261.84,4.98
109
+ sequences it can keep track of the,264.3,6.06
110
+ entire thing and what it does is it will,266.82,6.06
111
+ take the the up to a billion token,270.36,3.6
112
+ sequence,272.88,4.62
113
+ break it up slice it up and then makes a,273.96,5.94
114
+ layered sparse representations of the,277.5,4.259
115
+ entire thing and it will therefore be,279.9,4.26
116
+ able to keep track of it now okay that,281.759,5.701
117
+ sounds really nerdy uh but here's here's,284.16,6.06
118
+ what it does for the performance so with,287.46,4.5
119
+ this sparse representation with this,290.22,5.16
120
+ dilation and doing it in massively in,291.96,6.72
121
+ parallel it solves a few problems so one,295.38,6.599
122
+ you see that the runtime stayed under a,298.68,5.76
123
+ thousand uh milliseconds under one,301.979,5.101
124
+ second it's more about half a second all,304.44,5.1
125
+ the way up to a billion tokens,307.08,4.619
126
+ so because of that it's basically,309.54,4.02
127
+ zooming in and out of the text the,311.699,3.181
128
+ representation of the text that it,313.56,3.9
129
+ creates in the same way a very similar,314.88,4.62
130
+ way that your brain keeps track of a,317.46,3.72
131
+ three gigapixel image as you zoom in and,319.5,3.9
132
+ out you're like okay cool okay I see a,321.18,3.84
133
+ bunch of cars parked on the side of the,323.4,2.579
134
+ road,325.02,2.28
135
+ um and you can just remember that fact,325.979,4.081
136
+ oh let's do a quick test what else do,327.3,4.5
137
+ you remember about this image maybe you,330.06,3.54
138
+ remember that the the Hollywood sign is,331.8,3.0
139
+ in the background over here somewhere,333.6,2.28
140
+ there it is,334.8,2.88
141
+ oh no that's not it,335.88,4.14
142
+ but it's somewhere in here so it's like,337.68,4.56
143
+ okay based on the cars and the Arid,340.02,4.32
144
+ desert and that I'm based I'm guessing,342.24,4.86
145
+ that this is Los Angeles right uh,344.34,5.16
146
+ anyways point being is that oh there it,347.1,4.68
147
+ is Hollywood uh so this is these are the,349.5,4.199
148
+ Hollywood Hills and you can remember oh,351.78,3.84
149
+ yeah there was a nice mansion over here,353.699,3.84
150
+ there's cars parked over here that's,355.62,4.2
151
+ probably downtown LA the Hollywood sign,357.539,4.141
152
+ is over here so by keeping by basically,359.82,4.7
153
+ creating a mental map this treats,361.68,5.7
154
+ gigantic pieces of information not,364.52,5.2
155
+ unlike a diffusion model,367.38,4.86
156
+ when and because I I got I was clued in,369.72,4.319
157
+ on that when I looked at the way that it,372.24,3.959
158
+ was it was um mapping everything and I,374.039,4.5
159
+ was like hold on it's creating a map of,376.199,4.381
160
+ the text by just breaking it down,378.539,4.201
161
+ algorithmically and saying okay let's,380.58,4.2
162
+ just make a scatter plot of all the text,382.74,3.239
163
+ here,384.78,3.0
164
+ uh or scatter plot's not the right word,385.979,4.261
165
+ but the it's basically making a bitmap,387.78,5.639
166
+ of the text of the representations of,390.24,4.98
167
+ what is going on in the sequence and I'm,393.419,4.141
168
+ like okay this is a fundamentally,395.22,3.9
169
+ different approach to representing text,397.56,4.079
170
+ and this is also really similar to some,399.12,4.019
171
+ of the experiments that I've done if you,401.639,3.301
172
+ remember Remo rolling episodic memory,403.139,3.541
173
+ organizer which creates layers of,404.94,4.14
174
+ abstraction this does it algorithmically,406.68,5.16
175
+ in real time so this just blows,409.08,5.04
176
+ everything that I've done with memory,411.84,5.46
177
+ research completely out of the water it,414.12,7.079
178
+ also has the ability to basically uh,417.3,7.019
179
+ kind of summarize as it goes and that's,421.199,5.581
180
+ not necessarily the right word because,424.319,4.261
181
+ summarization means that you take one,426.78,3.78
182
+ piece of text and create a smaller piece,428.58,4.2
183
+ of text but this creates a neural,430.56,4.02
184
+ summarization a neural network,432.78,4.139
185
+ summarization by creating these layers,434.58,3.78
186
+ of abstraction,436.919,4.381
187
+ and this allows it to zoom in and out as,438.36,4.8
188
+ it needs to so that it can cast its,441.3,4.14
189
+ attention around internally in order to,443.16,4.2
190
+ keep track of such a long sequence now,445.44,4.8
191
+ okay great what does this mean,447.36,5.52
192
+ as someone who has been using GPT since,450.24,5.7
193
+ gpt2 where it was basically just a,452.88,5.939
194
+ sentence Transformer it couldn't do a,455.94,4.92
195
+ whole lot more you know like in in this,458.819,5.22
196
+ model up here the original GPT was 512,460.86,7.14
197
+ tokens and gpt2 I think was what a,464.039,5.28
198
+ thousand I don't remember,468.0,4.8
199
+ maybe it was five uh 512 as well and,469.319,6.421
200
+ then the initial version of gpt3 was 2,472.8,5.459
201
+ 000 tokens we got upgraded to 4 000,475.74,6.239
202
+ tokens then we got GPT 3.5 and gpt4 so,478.259,5.041
203
+ we're at eight thousand and sixteen,481.979,3.0
204
+ thousand tokens,483.3,4.14
205
+ as these attention mechanisms get bigger,484.979,4.5
206
+ and as the context window gets bigger,487.44,3.9
207
+ one thing that I've noticed is that,489.479,4.261
208
+ there are one these are step changes in,491.34,3.78
209
+ terms of,493.74,4.2
210
+ algorithmic efficiencies but in terms of,495.12,6.66
211
+ what they are capable of doing as I tell,497.94,6.479
212
+ a lot of my uh my consultation clients,501.78,5.639
213
+ do not ever try and you know get around,504.419,4.921
214
+ the context window limitation because,507.419,4.56
215
+ one a new model is coming out within six,509.34,4.499
216
+ months that's going to completely blow,511.979,4.5
217
+ open that window and two it's just a,513.839,4.32
218
+ limitation of the model,516.479,3.901
219
+ so when you can read a billion tokens,518.159,5.641
220
+ which by the way humans read about one,520.38,5.16
221
+ to two billion words in their entire,523.8,3.479
222
+ lifetime,525.54,3.66
223
+ when you have a model that can read a,527.279,3.721
224
+ billion tokens in a second,529.2,4.319
225
+ that is almost that is half a lifetime,531.0,5.279
226
+ worth of reading and knowledge that this,533.519,5.581
227
+ model can take in in a second so when,536.279,4.56
228
+ you have a model that can ingest that,539.1,4.26
229
+ much information suddenly retraining,540.839,4.44
230
+ models doesn't matter you just give it,543.36,4.08
231
+ the log of all news all events all,545.279,4.261
232
+ papers whatever tasks that you're doing,547.44,4.68
233
+ you just give it all of it at once and,549.54,4.739
234
+ it can keep track of all of that text in,552.12,4.8
235
+ its head in its virtual head,554.279,4.381
236
+ um all at once and it can pay attention,556.92,4.02
237
+ to the bits that it needs to with those,558.66,4.619
238
+ sparse representations,560.94,5.579
239
+ it is it is impossible for me to,563.279,6.841
240
+ oversell the long-term ramifications of,566.519,6.841
241
+ these kinds of algorithmic changes and,570.12,6.3
242
+ so a couple months ago when I said AGI,573.36,5.159
243
+ within 18 months this is the kind of,576.42,3.62
244
+ trend that I was paying attention to,578.519,4.32
245
+ there is no limit to the algorithmic,580.04,4.299
246
+ breakthroughs we are seeing right now,582.839,3.12
247
+ now that doesn't mean that there won't,584.339,4.44
248
+ eventually be diminishing returns but at,585.959,5.281
249
+ the same time we are exploring this blue,588.779,5.581
250
+ ocean space and we've we've all right,591.24,5.159
251
+ for those of you that have played Skyrim,594.36,5.58
252
+ and other RPGs we unlocked a new map and,596.399,5.641
253
+ the grayed out area is this big and,599.94,4.079
254
+ we've explored this much of this new map,602.04,4.799
255
+ that is how much potential there is to,604.019,5.341
256
+ explore out here and the other thing is,606.839,5.281
257
+ this research is accelerating there's a,609.36,4.38
258
+ few reasons for that on one of the live,612.12,3.18
259
+ streams like someone asked me like how,613.74,4.08
260
+ do we know that this isn't an AI winter,615.3,4.74
261
+ and I pulled up a chart that showed an,617.82,5.16
262
+ exponential growth of investment where,620.04,5.16
263
+ the money goes the research goes and,622.98,3.78
264
+ because the money is flowing into the,625.2,4.44
265
+ research it's happening what you I mean,626.76,4.38
266
+ we saw the same thing with solar and,629.64,2.759
267
+ literally every other disruptive,631.14,3.18
268
+ technology is once the investment comes,632.399,3.781
269
+ you know that the breakthroughs are,634.32,3.84
270
+ going to follow it's just that simple,636.18,3.779
271
+ and this is one of those kinds of,638.16,5.52
272
+ breakthroughs so what does this mean uh,639.959,7.261
273
+ put it this way rather than trying to,643.68,6.54
274
+ you know play Tetris with memory and you,647.22,4.98
275
+ know trying to fit 10 pounds of stuff,650.22,5.52
276
+ into a five pound bag now once this,652.2,5.699
277
+ becomes commercially ready which it's,655.74,4.8
278
+ coming it's it's possible on paper they,657.899,5.041
279
+ did it so even if we don't get a billion,660.54,4.16
280
+ tokens this time next year it's coming,662.94,4.92
281
+ the what this allows you to do is let's,664.7,4.96
282
+ say for instance,667.86,5.28
283
+ um you are working on a medical research,669.66,5.94
284
+ thing and it's like okay well you know,673.14,4.319
285
+ we've we've got a literature review of,675.6,4.799
286
+ literally 2000 papers per month to read,677.459,5.401
287
+ put all the papers in this model and and,680.399,4.321
288
+ say tell me exactly which papers are,682.86,3.96
289
+ most relevant,684.72,4.799
290
+ so the the the ability for in-context,686.82,5.94
291
+ learning uh is incredible and it can,689.519,5.88
292
+ hold more in its brain in its mind than,692.76,5.4
293
+ any 10 humans can,695.399,5.101
294
+ and this is again this is not the limit,698.16,4.44
295
+ imagine a year from now we're six months,700.5,4.62
296
+ from now when uh long net two comes out,702.6,4.2
297
+ and it's a trillion tokens or 10,705.12,4.32
298
+ trillion tokens and what they say in,706.8,5.46
299
+ this paper is that maybe we're gonna see,709.44,6.78
300
+ a a point very soon where it could have,712.26,6.0
301
+ its context window could include,716.22,4.619
302
+ basically the entire internet,718.26,5.28
303
+ this is a step towards super,720.839,4.981
304
+ intelligence make no mistake that the,723.54,4.739
305
+ ability to held and use that much,725.82,5.519
306
+ information in real time to produce,728.279,6.541
307
+ plans to forecast to anticipate to come,731.339,6.481
308
+ up with insights this is a critical step,734.82,6.18
309
+ towards digital super intelligence I am,737.82,5.22
310
+ not being hyperbolic here and neither is,741.0,3.48
311
+ this paper when they say we could,743.04,3.6
312
+ conceivably build a model that can read,744.48,4.38
313
+ the entire internet in one go,746.64,4.68
314
+ so with all that being said I wanted to,748.86,5.58
315
+ Pivot and talk briefly about open ai's,751.32,6.0
316
+ announcement also yesterday that they,754.44,5.22
317
+ are introducing super alignment so the,757.32,5.699
318
+ tldr is that openai is creating a a,759.66,5.58
319
+ dedicated team to aligning super,763.019,5.521
320
+ intelligence uh which you know again I,765.24,5.399
321
+ am super glad that we are living in the,768.54,3.359
322
+ timeline where someone is doing this,770.639,4.021
323
+ it's about time uh you know I've got my,771.899,4.261
324
+ book out there benevolent by Design,774.66,3.0
325
+ where I talked about aligning super,776.16,3.239
326
+ intelligence and my solution is that you,777.66,3.66
327
+ really can't but one thing that I want,779.399,5.521
328
+ to point out is that whether or not you,781.32,7.86
329
+ can align one model in the lab is that's,784.92,6.0
330
+ part of the that's a necessary part of,789.18,3.12
331
+ the solution I don't want to disparage,790.92,3.06
332
+ the engineers and scientists at openai,792.3,3.839
333
+ and Microsoft and other places working,793.98,4.859
334
+ on this but while it is a necessary,796.139,5.221
335
+ component of the of the solution it is,798.839,4.981
336
+ not a complete solution and this is,801.36,5.099
337
+ where uh researchers like Gary Marcus,803.82,6.12
338
+ and Dr Rahman Chowdhury have testified,806.459,6.961
339
+ to Congress saying look you know they,809.94,6.78
340
+ expect that open source models will,813.42,5.219
341
+ reach parity with closed Source models,816.72,4.619
342
+ and then overtake them and so when open,818.639,6.121
343
+ source models who anyone can deploy are,821.339,6.12
344
+ aligned any which way that you want you,824.76,5.759
345
+ lose total control so that while I,827.459,4.921
346
+ definitely appreciate in value because,830.519,3.601
347
+ we need to know how to align super,832.38,3.54
348
+ intelligent models,834.12,4.32
349
+ the good guys right the the aligned,835.92,6.78
350
+ models need to be uh as powerful as all,838.44,6.959
351
+ the unaligned models because in the AI,842.7,4.98
352
+ arms race it's going to be AI versus AI,845.399,4.68
353
+ in the example of cyber security where,847.68,5.159
354
+ we already have adaptive intelligence in,850.079,4.44
355
+ uh in firewalls and other security,852.839,4.44
356
+ appliances basically you're going to,854.519,5.041
357
+ have you know an AI agent running in,857.279,4.981
358
+ your firewall versus an AI based DDOS,859.56,5.16
359
+ attack just as one example you're going,862.26,4.74
360
+ to have ai based infiltration programs,864.72,4.52
361
+ versus AI Hunter programs on the inside,867.0,5.82
362
+ so it's going to be spy versus spy and,869.24,5.92
363
+ so we need to make sure that the that,872.82,5.16
364
+ the models that we build that that do,875.16,4.44
365
+ remain aligned that we do remain control,877.98,4.62
366
+ over are as smart as possible and also,879.6,5.34
367
+ trustworthy absolutely needs to to,882.6,4.44
368
+ happen basically you fight fire with,884.94,4.259
369
+ fire and I know that that sounds like,887.04,3.9
370
+ mutually assured destruction and it kind,889.199,3.901
371
+ of is which is another reason that the,890.94,4.56
372
+ nuclear arms race metaphor is very apt,893.1,4.56
373
+ for the AI arms race,895.5,4.26
374
+ So This research absolutely needs to,897.66,4.38
375
+ happen but what I want to drive home is,899.76,3.9
376
+ that it is a necessary but not,902.04,4.56
377
+ sufficient set of solutions that there,903.66,4.619
378
+ also needs to be the adoption the,906.6,3.72
379
+ implementation and deployment of,908.279,3.721
380
+ Alliance systems and we also need to,910.32,3.6
381
+ make sure that those Alliance systems,912.0,3.68
382
+ can communicate and collaborate together,913.92,5.099
383
+ so with all that being said uh big steps,915.68,4.839
384
+ in the right direction but it is coming,919.019,4.32
385
+ faster than anyone realizes and I stand,920.519,6.421
386
+ by my assertion AGI by the end of 2024,923.339,6.901
387
+ actually by by the mid basically uh,926.94,7.019
388
+ let's see September or October 2024 any,930.24,5.76
389
+ definition that you have of AGI will be,933.959,4.921
390
+ satisfied and then from there it's a,936.0,5.279
391
+ very very very short period of time to,938.88,4.8
392
+ Super intelligence now fortunately for,941.279,4.62
393
+ us right now the only computer is,943.68,3.959
394
+ capable of running them running these,945.899,4.141
395
+ models and researching them are like the,947.639,3.901
396
+ Nvidia supercomputers that they're,950.04,4.739
397
+ building so that but that barrier that,951.54,5.28
398
+ threshold is going to start going down,954.779,4.381
399
+ because remember remember Nvidia at,956.82,4.92
400
+ their at their keynote speech and and,959.16,4.08
401
+ for several months they've been saying,961.74,4.02
402
+ hey you know our machines are literally,963.24,4.2
403
+ a million times more powerful in the,965.76,2.879
404
+ last decade and we're going to do it,967.44,4.019
405
+ again in the next decade well when your,968.639,4.981
406
+ desktop computer is as powerful as,971.459,3.901
407
+ today's super computers in 10 years,973.62,3.719
408
+ you're going to be able to run all of,975.36,3.419
409
+ these and then when you combine that,977.339,3.0
410
+ with the ongoing algorithmic,978.779,3.481
411
+ efficiencies everyone is going to be,980.339,4.5
412
+ running their own AGI within five to ten,982.26,4.8
413
+ years mark my words,984.839,3.541
414
+ so,987.06,3.839
415
+ time is of the essence we do need a,988.38,4.5
416
+ sense of urgency and I am really glad,990.899,4.321
417
+ that open AI is doing this,992.88,6.78
418
+ again you know I'm not I would like to,995.22,6.9
419
+ see more governmental participation more,999.66,4.979
420
+ universities uh I would like to see,1002.12,5.1
421
+ something like a Gaia agency a global AI,1004.639,5.281
422
+ agency or an Aegis agency an alignment,1007.22,4.979
423
+ enforcement for Global uh Global,1009.92,4.38
424
+ intelligence systems,1012.199,4.921
425
+ um because the thing is is corporations,1014.3,5.12
426
+ and governments are not ready for this,1017.12,5.76
427
+ and uh that to me is the biggest risk,1019.42,6.039
428
+ because from it from a purely scientific,1022.88,6.059
429
+ standpoint I 100 believe that we can,1025.459,5.401
430
+ align super intelligence I wrote a book,1028.939,4.02
431
+ about it I demonstrated how you can take,1030.86,4.199
432
+ unaligned models and align them to,1032.959,4.021
433
+ Universal principles very very easily,1035.059,4.02
434
+ I've done it plenty of times the data,1036.98,3.54
435
+ sets are out there for free just search,1039.079,3.24
436
+ for heuristic imperatives and core,1040.52,3.84
437
+ objective functions on my GitHub,1042.319,5.821
438
+ but again aligning a single model is not,1044.36,6.12
439
+ the entire solution you also need the,1048.14,4.26
440
+ deployment you need the the security,1050.48,3.72
441
+ models we need to update things like the,1052.4,4.139
442
+ OSI model and defense in depth we need,1054.2,4.2
443
+ to look at the entire technology stack,1056.539,3.901
444
+ but we also need to look at the entire,1058.4,4.62
445
+ economic and governmental stack to make,1060.44,4.2
446
+ sure that companies are aware of this,1063.02,3.899
447
+ and that companies are start deploying,1064.64,5.7
448
+ uh these uh systems whether it's,1066.919,5.581
449
+ security checkpoints whether it's,1070.34,4.92
450
+ internal policies that sort of thing,1072.5,4.32
451
+ because when you've got a really,1075.26,3.6
452
+ powerful Cannon you have to aim that,1076.82,5.04
453
+ Cannon really really well otherwise it's,1078.86,6.24
454
+ going to kill everybody uh and again you,1081.86,5.04
455
+ all know me I am a very very very,1085.1,3.6
456
+ optimistic person when it comes to,1086.9,3.36
457
+ alignment and the future that we can,1088.7,4.32
458
+ build but at the same time when you're,1090.26,4.799
459
+ playing with fire like you need to make,1093.02,3.659
460
+ sure that you wear the proper safety,1095.059,3.961
461
+ gear uh because the the more energy,1096.679,4.321
462
+ something has the more dangerous it is,1099.02,4.8
463
+ and the level of energy or intelligence,1101.0,3.96
464
+ or however you want to look at it,1103.82,3.06
465
+ whatever metaphor you want to pick is,1104.96,4.2
466
+ going up very quickly so thanks for,1106.88,3.659
467
+ watching I hope you got a lot out of,1109.16,4.5
468
+ this it's the long net paper and then of,1110.539,5.121
469
+ course uh introducing super alignment,1113.66,6.259
470
+ but yeah thanks for watching cheers,1115.66,4.259
OpenAI 100000 Grants for AI Consensus Platform Plus a Gentle Introduction to GATO Framework_transcript.csv ADDED
@@ -0,0 +1,621 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.719,5.761
3
+ with a new video so you probably noticed,2.879,6.361
4
+ a little bit of different setup I'm kind,6.48,5.94
5
+ of pimping out my uh my recording setup,9.24,7.2
6
+ but today we're going to talk about,12.42,7.56
7
+ um the open AI Democratic inputs to Ai,16.44,6.3
8
+ and the gato framework so you guys have,19.98,4.559
9
+ heard me mention the gato framework,22.74,6.24
10
+ quite a few times so we're gonna kind of,24.539,6.66
11
+ first kind of talk about like this,28.98,4.739
12
+ Democratic inputs to AI which is a grant,31.199,4.261
13
+ Challenge and then I'll also introduce,33.719,4.321
14
+ you to the gato framework which there is,35.46,3.96
15
+ some overlap,38.04,4.5
16
+ but the takeaway is that I am the gato,39.42,7.38
17
+ Community are going to uh put in a um uh,42.54,8.28
18
+ proposal to open ai's challenge so right,46.8,6.56
19
+ off the bat the Democratic inputs to AI,50.82,6.66
20
+ is uh going to be 10 100,53.36,7.66
21
+ 000 grants that openai gives in order to,57.48,6.84
22
+ basically democratize the way that they,61.02,6.419
23
+ get feedback in order to just to decide,64.32,6.0
24
+ how AI will behave so they give some,67.439,4.201
25
+ examples of what they mean by a,70.32,3.96
26
+ democratic process and then they also,71.64,4.56
27
+ give a few examples of the kinds of,74.28,5.1
28
+ questions that they're going to want to,76.2,3.779
29
+ um,79.38,3.059
30
+ uh address sorry where did it go here we,79.979,4.861
31
+ go so one example is how far do you,82.439,3.781
32
+ think the personalization of AI,84.84,4.319
33
+ assistance like chat GPT uh to align,86.22,4.56
34
+ with Tayson preferences should go what,89.159,3.721
35
+ boundaries if any should exist in this,90.78,3.6
36
+ process,92.88,3.66
37
+ so these are the kinds of policy,94.38,4.98
38
+ questions that they want to have a,96.54,5.52
39
+ scalable system to address,99.36,6.0
40
+ and they give you know quite a few,102.06,5.419
41
+ examples like Wikipedia Twitter,105.36,4.56
42
+ democracy next so on and so forth so,107.479,5.201
43
+ there's all kinds of things uh which,109.92,4.86
44
+ with those existing systems you might be,112.68,4.38
45
+ what asking like okay well why what's,114.78,4.199
46
+ like What's missing,117.06,3.9
47
+ and so there's a few things that they,118.979,5.161
48
+ talk about that they want to uh like the,120.96,4.68
49
+ the criteria that they want to address,124.14,4.2
50
+ so one evaluation they want to make sure,125.64,5.12
51
+ that the evaluation follows,128.34,5.64
52
+ metrics and so on that the methodology,130.76,7.14
53
+ is good robustness obviously you want to,133.98,6.6
54
+ make sure that that the resulting,137.9,4.54
55
+ information that you get is robust and,140.58,3.18
56
+ defensible,142.44,3.659
57
+ but also resistant to trolling and other,143.76,4.199
58
+ problems,146.099,4.461
59
+ um inclusiveness and representativeness,147.959,6.901
60
+ uh you know obviously if you only survey,150.56,7.12
61
+ or pull you know a small majority of,154.86,4.68
62
+ people or I guess small minority of,157.68,3.72
63
+ people rather uh you're not going to,159.54,4.14
64
+ have a good representation of the global,161.4,5.28
65
+ willpower and Global desires of all,163.68,4.5
66
+ humans and that's part of the goal here,166.68,4.62
67
+ is that uh pretty much all humans are,168.18,7.199
68
+ stakeholders in AI so therefore we need,171.3,5.7
69
+ to make sure that we represent everyone,175.379,3.601
70
+ on the planet,177.0,4.62
71
+ um empowerment of minority opinions so,178.98,5.52
72
+ this is uh one of the hardest problems,181.62,4.08
73
+ because,184.5,4.08
74
+ when you have a democratic process you,185.7,5.459
75
+ often have majority rules which means,188.58,4.26
76
+ that you have tyranny of the majority so,191.159,3.241
77
+ how do you represent the interests of,192.84,5.399
78
+ everyone while also kind of abiding by,194.4,6.54
79
+ or following the collective willpower so,198.239,4.561
80
+ in that case finding consensus can be,200.94,4.379
81
+ very difficult effective moderation,202.8,4.799
82
+ again making sure that stuff stays on,205.319,5.221
83
+ topic so on and so forth scalability so,207.599,3.981
84
+ again,210.54,3.419
85
+ scalability is one of the chief criteria,211.58,4.48
86
+ here because it needs to Encompass the,213.959,5.28
87
+ entire planet finally actionability and,216.06,5.66
88
+ legibility these are just kind of,219.239,5.461
89
+ boilerplate requirements there's a few,221.72,4.48
90
+ other footnotes,224.7,3.78
91
+ um but yeah so those are the primary,226.2,4.08
92
+ goals is how do you create something,228.48,4.02
93
+ that can achieve this and it sounds like,230.28,4.14
94
+ a very daunting task but I think that,232.5,3.72
95
+ we're up to it,234.42,3.84
96
+ um so with all that said,236.22,4.14
97
+ um uh the gato community and actually,238.26,4.92
98
+ even some of my patreons have already uh,240.36,4.68
99
+ expressed interest in participating so,243.18,4.32
100
+ we'll get that organized very quickly we,245.04,4.68
101
+ have until uh just under a month from,247.5,4.799
102
+ now to submit our proposal which I have,249.72,3.84
103
+ no doubt that we'll be able to do,252.299,3.181
104
+ considering we pulled the Gatto,253.56,4.2
105
+ framework together in four weeks flat,255.48,3.96
106
+ so we have roughly the same amount of,257.76,3.96
107
+ time to do something that is less,259.44,3.78
108
+ extensive basically we have to design,261.72,4.38
109
+ one tool or one platform rather than an,263.22,4.8
110
+ entire Global movement so,266.1,3.78
111
+ I have alluded to the gato framework,268.02,3.42
112
+ quite a few times so let's talk about,269.88,3.42
113
+ the gato framework,271.44,3.479
114
+ so you can learn about our gato,273.3,4.98
115
+ framework here on gotta framework.org,274.919,5.361
116
+ it is a global,278.28,5.76
117
+ decentralized movement to achieve uh,280.28,6.34
118
+ first and foremost Utopia which we,284.04,6.42
119
+ Define utopia quite simply as a world,286.62,6.0
120
+ state where everyone on the planet has,290.46,4.799
121
+ high standard of living a high,292.62,4.92
122
+ individual liberty and also high social,295.259,3.481
123
+ Mobility,297.54,4.5
124
+ so obviously the word Utopia often has a,298.74,6.12
125
+ lot of baggage associated with it uh you,302.04,5.159
126
+ know whether you think Star Trek or,304.86,3.899
127
+ something else and Utopia means,307.199,3.541
128
+ different things to different people but,308.759,4.621
129
+ in terms of universal principles and,310.74,6.78
130
+ also measurable like kpi or metrics we,313.38,7.319
131
+ we Define utopia as uh you know high,317.52,5.22
132
+ standard of living High individual,320.699,4.621
133
+ liberty and high social Mobility if we,322.74,4.98
134
+ get those three criteria to be Global we,325.32,4.68
135
+ will consider that success now also,327.72,6.18
136
+ Gatto is meant to avoid dystopia so on,330.0,6.0
137
+ one hand you have Utopia versus dystopia,333.9,5.34
138
+ but we also aim to avoid cataclysmic,336.0,5.699
139
+ outcomes by solving problems such as a,339.24,3.54
140
+ coordination problem at Daniel,341.699,3.421
141
+ schmachtenberger and Liv bori talk about,342.78,5.04
142
+ with Malik you've probably seen some of,345.12,5.94
143
+ my other videos and the goal there is to,347.82,6.0
144
+ avoid extinction by creating Global,351.06,6.419
145
+ consensus around how to align AI which,353.82,5.939
146
+ is a very comprehensive process we'll,357.479,5.461
147
+ we'll go into it just a little bit but,359.759,6.66
148
+ basically it is a decentralized layered,362.94,6.36
149
+ approach to achieving Global alignment,366.419,5.521
150
+ so for instance the first layer is model,369.3,6.06
151
+ alignment model alignment as the low,371.94,5.28
152
+ level things such as building and,375.36,4.5
153
+ training and fine-tuning individual,377.22,4.86
154
+ language models and other AI models,379.86,4.44
155
+ multimodal models as they come so we'll,382.08,4.14
156
+ address problems like fine-tuning Mesa,384.3,4.619
157
+ optimization inner alignment and so on,386.22,4.979
158
+ but it's important to remember that,388.919,4.201
159
+ model alignment is only one small,391.199,5.041
160
+ component of achieving Utopia avoiding,393.12,6.54
161
+ dystopia and avoiding Extinction yes we,396.24,5.519
162
+ uh we believe that there will come a,399.66,4.92
163
+ time when AI becomes super intelligent,401.759,4.921
164
+ and it cannot be contained and we have,404.58,5.28
165
+ to get it right before that happens but,406.68,5.28
166
+ even before that we could end up in,409.86,4.26
167
+ dystopia right so there's kind of a,411.96,5.7
168
+ gated process so model alignment even,414.12,6.0
169
+ Sam Altman has said that rlhf is not the,417.66,5.64
170
+ not the way to get you know solve the,420.12,5.16
171
+ control problem but it's a good way to,423.3,4.44
172
+ make a good chat bot so we're aligned,425.28,3.18
173
+ there,427.74,4.799
174
+ the next phase is autonomous systems so,428.46,5.519
175
+ one thing that a lot of people are,432.539,3.961
176
+ afraid of in the long run is Runaway,433.979,4.5
177
+ autonomous AI basically super,436.5,4.259
178
+ intelligence that has no leash that has,438.479,4.861
179
+ no shackles and so one of the reasons,440.759,4.861
180
+ that we advocate for building autonomous,443.34,5.16
181
+ systems today is because we need to,445.62,5.82
182
+ practice uh building these systems to,448.5,5.22
183
+ understand the architectures and the,451.44,4.379
184
+ behaviors for instance one of the things,453.72,4.319
185
+ that people suspect will happen is,455.819,4.621
186
+ instrumental convergence instrumental,458.039,5.521
187
+ convergence is the idea that AI systems,460.44,5.4
188
+ no matter what objectives you give them,463.56,4.979
189
+ they will want things like to protect,465.84,4.62
190
+ power to get more data that sort of,468.539,2.761
191
+ stuff,470.46,3.54
192
+ and so by by practicing building,471.3,5.459
193
+ autonomous systems today we can go ahead,474.0,4.5
194
+ and start researching and understanding,476.759,3.901
195
+ one how to make autonomous systems,478.5,5.039
196
+ stable even as they change and improve,480.66,5.34
197
+ themselves we can also figure out what,483.539,5.16
198
+ needs to go into automating their,486.0,4.319
199
+ internal learning processes and stuff,488.699,3.78
200
+ because super intelligence was never,490.319,4.561
201
+ ever going to be a single model right,492.479,5.22
202
+ it's not going to be gpt7 you know in a,494.88,5.879
203
+ robot autonomous systems from a software,497.699,4.62
204
+ and Hardware perspective are going to be,500.759,3.72
205
+ very complex systems so we need to start,502.319,4.44
206
+ working on these today and you know in,504.479,3.541
207
+ point of fact people have already,506.759,4.021
208
+ started working on autonomous systems,508.02,3.84
209
+ and they're only going to get more,510.78,2.52
210
+ powerful over time,511.86,4.32
211
+ layer 3 of the gato framework,513.3,6.0
212
+ is the advocacy of using decentralized,516.18,4.739
213
+ Technologies such as blockchain and,519.3,5.22
214
+ federations in order to uh basically,520.919,6.36
215
+ first solve the problem of in the future,524.52,5.28
216
+ AI will spend more time talking to each,527.279,5.101
217
+ other than to us so we need to create a,529.8,4.92
218
+ framework that includes things such as,532.38,4.019
219
+ consensus mechanisms as well as,534.72,4.86
220
+ reputation management systems because,536.399,5.94
221
+ the thing is is in the future you're not,539.58,4.98
222
+ going to be able to look at the code or,542.339,5.581
223
+ data or design of every autonomous agent,544.56,5.399
224
+ out there but instead you can look at,547.92,3.9
225
+ the behavior of those agents and track,549.959,4.621
226
+ it over time and so then what we can do,551.82,5.639
227
+ is embed alignment algorithms into those,554.58,4.56
228
+ decentralized networks and those,557.459,4.5
229
+ decentralized networks can be used to,559.14,4.8
230
+ gatekeep resources like data network,561.959,5.94
231
+ access power and compute and that will,563.94,7.62
232
+ actually change the the instrumental,567.899,6.901
233
+ convergence meaning that autonomous AI,571.56,5.52
234
+ agents will be incentivized to,574.8,4.86
235
+ self-align if they want access to things,577.08,5.58
236
+ like power data and compute and that,579.66,4.739
237
+ that decentralized network will also,582.66,5.239
238
+ create a layer that that allows for easy,584.399,5.761
239
+ collaboration between humans and AI,587.899,5.021
240
+ because again blockchain Dows and other,590.16,5.16
241
+ decentralized Technologies allow for,592.92,4.26
242
+ Collective consensus to be achieved,595.32,4.92
243
+ before making decisions and actions and,597.18,5.58
244
+ that will be the kind of the the fabric,600.24,5.34
245
+ that pulls humans and AI together,602.76,4.92
246
+ and so those first three layers are the,605.58,3.9
247
+ technical layers those these are the,607.68,4.5
248
+ coding data and cryptographic problems,609.48,4.799
249
+ that goto aims to solve,612.18,3.96
250
+ but it's not going to be a centralized,614.279,4.321
251
+ effort this is just a road map that,616.14,5.879
252
+ anyone can follow and so then the top,618.6,6.6
253
+ four layers of gato are more about the,622.019,5.461
254
+ social geopolitical and economic layers,625.2,5.04
255
+ so for instance number four layer four,627.48,5.22
256
+ is Corporate adoption we have one simple,630.24,4.62
257
+ Mantra which is aligned AI is good for,632.7,4.92
258
+ business fortunately it seems like some,634.86,5.9
259
+ companies open AI Microsoft and IBM,637.62,5.46
260
+ believe this at least in principle at,640.76,3.94
261
+ least in word,643.08,3.12
262
+ um you know obviously actions speak,644.7,3.42
263
+ louder than words and so we will see,646.2,5.579
264
+ what actions they take over time but the,648.12,5.64
265
+ general principle is and many of my,651.779,4.081
266
+ patreon supporters already get this and,653.76,3.96
267
+ know this where you know I help them,655.86,4.2
268
+ with understanding AI alignment and they,657.72,4.34
269
+ say this is obviously good for business,660.06,4.2
270
+ aligned AI is good for business for a,662.06,3.399
271
+ number of reasons,664.26,3.06
272
+ now the least of which is that it's more,665.459,4.261
273
+ trustworthy and more scalable the more,667.32,4.38
274
+ aligned an AI system is the more,669.72,3.78
275
+ trustworthy it is and therefore the less,671.7,4.079
276
+ supervision it requires which means that,673.5,4.2
277
+ it is more scalable and can take on more,675.779,5.041
278
+ workload faster so in this respect we,677.7,5.46
279
+ hope that this pattern proves out over,680.82,4.62
280
+ longer periods of time which means that,683.16,4.739
281
+ those businesses that adopt aligned AI,685.44,4.22
282
+ will simply do better in the long run,687.899,3.661
283
+ and they will have a competitive,689.66,4.06
284
+ Advantage obviously we can't count on,691.56,4.8
285
+ this forever which is why we also,693.72,4.799
286
+ advocate for National regulation,696.36,5.28
287
+ now fortunately we have seen calls for,698.519,5.06
288
+ National regulation already,701.64,4.56
289
+ ranging in you know from empowering,703.579,5.561
290
+ existing agencies like the FTC SEC and,706.2,4.5
291
+ so on and so forth and those are of,709.14,3.54
292
+ course American entities,710.7,3.6
293
+ um pretty much every nation has,712.68,3.779
294
+ regulatory bodies that are already in,714.3,4.44
295
+ place that could be empowered to help,716.459,5.94
296
+ regulate AI now that being said there's,718.74,5.7
297
+ also a case to be made for advocating,722.399,4.581
298
+ for an AI specific entity,724.44,5.76
299
+ we're not going to take uh gato is not,726.98,4.66
300
+ going to take a position one way or,730.2,4.379
301
+ another but we do advocate for National,731.64,6.66
302
+ regulation of some kind across the world,734.579,6.241
303
+ and this National regulation is not just,738.3,3.719
304
+ about,740.82,1.92
305
+ um,742.019,3.301
306
+ punishing or constraining we also,742.74,4.56
307
+ advocate for incentivizing aligned,745.32,4.199
308
+ Behavior such as through research grants,747.3,4.979
309
+ and and other Financial incentives maybe,749.519,5.161
310
+ even including tax breaks for companies,752.279,5.161
311
+ that meet alignment standards similar to,754.68,5.46
312
+ how there are carbon credits for,757.44,5.82
313
+ instance as one example of incentivizing,760.14,5.16
314
+ the behavior that you want to see with,763.26,5.579
315
+ financial gains again we believe that,765.3,5.4
316
+ aligned AI is its own Financial,768.839,3.421
317
+ incentive but not everyone's going to,770.7,4.259
318
+ believe that one example that I like to,772.26,6.24
319
+ use is when smoking was banned from bars,774.959,5.701
320
+ and restaurants when smoking was banned,778.5,3.66
321
+ from bars and restaurants it actually,780.66,3.179
322
+ increased patronage of bars and,782.16,4.5
323
+ restaurants because a few bad actors AKA,783.839,5.161
324
+ people that wanted to smoke inside that,786.66,4.14
325
+ behavior was that noxious Behavior was,789.0,4.139
326
+ no longer allowed and so then businesses,790.8,4.14
327
+ all benefited and now it's just a,793.139,3.541
328
+ foregone conclusion that you shouldn't,794.94,3.78
329
+ allow smoking inside,796.68,3.719
330
+ that is the kind of nature of national,798.72,4.619
331
+ regulation so if we ban misaligned AI,800.399,5.281
332
+ it'll bring more people to the table,803.339,4.74
333
+ uh number six is international treaty,805.68,5.459
334
+ sogato advocates for the creation of,808.079,5.221
335
+ international agencies,811.139,4.44
336
+ um openai recently published that they,813.3,4.92
337
+ are advocating for an agency model,815.579,5.281
338
+ perhaps on the the iaea the,818.22,5.46
339
+ international atomic energy agency which,820.86,4.979
340
+ is a regulator that performs inspections,823.68,5.899
341
+ and other uh other uh functions around,825.839,7.101
342
+ nuclear uh energy and nuclear enrichment,829.579,5.741
343
+ we don't necessarily disagree with that,832.94,4.959
344
+ but we think that it should be yes and,835.32,4.98
345
+ sogato advocates for the creation of an,837.899,5.821
346
+ entity like CERN which is primarily a,840.3,5.099
347
+ research organization rather than a,843.72,2.84
348
+ regulatory,845.399,3.781
349
+ organization and the reason that we,846.56,4.42
350
+ advocate for international,849.18,4.32
351
+ um cooperation on AI research is because,850.98,4.859
352
+ again we believe that eventually one day,853.5,4.62
353
+ we are going to lose control of the AI,855.839,4.261
354
+ in which case human regulation won't,858.12,3.899
355
+ matter so what we need to do is actually,860.1,5.4
356
+ focus more resources on understanding,862.019,5.88
357
+ alignment and autonomous systems and how,865.5,4.62
358
+ to create what we call axiomatic,867.899,4.74
359
+ alignment so axiomatic alignment is one,870.12,5.18
360
+ of the goal states of the gato framework,872.639,6.421
361
+ wherein alignment is very difficult for,875.3,6.88
362
+ AI to deviate from due to a saturation,879.06,6.0
363
+ of aligned models aligned data sets and,882.18,4.92
364
+ what we also call epistemic Convergence,885.06,4.139
365
+ which is the idea it's very similar to,887.1,4.62
366
+ to instrumental convergence but the idea,889.199,4.38
367
+ of epistemic convergence,891.72,4.08
368
+ is that any sufficiently intelligent,893.579,3.181
369
+ entity,895.8,3.599
370
+ uh no matter where they start they ought,896.76,6.06
371
+ to come to some similar conclusions uh,899.399,5.521
372
+ you know with obviously some variants,902.82,5.759
373
+ but by intersecting with the same laws,904.92,5.46
374
+ of physics the same universe the same,908.579,4.681
375
+ galaxy the same Planet pretty much any,910.38,4.92
376
+ sufficiently and intelligent entity,913.26,3.12
377
+ ought to come to some similar,915.3,3.24
378
+ conclusions and then finally the top,916.38,4.1
379
+ layer of gato is global consensus,918.54,4.56
380
+ wherein we use exponential Technologies,920.48,5.799
381
+ like AI social media and so on in order,923.1,6.12
382
+ to create Outreach Outreach into the,926.279,5.041
383
+ academic institutions into primary,929.22,4.739
384
+ education into industry so on and so,931.32,3.72
385
+ forth and that's why I've been doing,933.959,2.88
386
+ more interviews for instance,935.04,4.2
387
+ so those are the layers of gotcha,936.839,5.281
388
+ and taken all together the goal is to,939.24,4.2
389
+ again achieve,942.12,3.899
390
+ excuse me Utopia avoid dystopia and,943.44,5.28
391
+ avoid collapse and each of these layers,946.019,4.38
392
+ you don't have to eat the whole elephant,948.72,3.479
393
+ the idea is that whatever your,950.399,3.841
394
+ specialization is you can participate in,952.199,4.44
395
+ gato without saying like yes I am a got,954.24,4.2
396
+ to employee or whatever that's not the,956.639,3.181
397
+ point,958.44,3.48
398
+ um we also have the gato Traditions,959.82,4.5
399
+ which is a set of 10 kind of principles,961.92,5.34
400
+ or behaviors that everyone can engage in,964.32,5.639
401
+ to help Advance this initiative towards,967.26,6.06
402
+ Global alignment so the first tradition,969.959,5.101
403
+ is start where you are use what you have,973.32,4.56
404
+ do what you can basically this says that,975.06,4.62
405
+ whatever you're capable of whatever your,977.88,3.18
406
+ passions are and your strengths are you,979.68,3.659
407
+ can use them so for instance I get a lot,981.06,4.26
408
+ of messages by people saying like you,983.339,3.541
409
+ know oh well I'm just a lawyer I don't,985.32,3.54
410
+ know anything about AI or I'm a graphic,986.88,3.78
411
+ artist or you know I just use Twitter,988.86,3.719
412
+ and make memes whatever it is that,990.66,3.479
413
+ you're capable of doing you can advance,992.579,3.841
414
+ the initiative of AI so for instance,994.139,4.921
415
+ there's a Twitter uh feed out there what,996.42,5.4
416
+ is it the the AI safety memes um Twitter,999.06,3.719
417
+ feed,1001.82,3.6
418
+ if that's all you do that's fine,1002.779,5.341
419
+ um if you're a lawyer you can look at uh,1005.42,5.94
420
+ at gato and AI alignment from a legal,1008.12,5.159
421
+ perspective or from a business policy,1011.36,3.539
422
+ perspective or whatever your perspective,1013.279,3.601
423
+ is you have something that you can,1014.899,4.62
424
+ contribute and by everyone contributing,1016.88,4.98
425
+ in a decentralized manner we can solve,1019.519,4.501
426
+ that coordination problem,1021.86,4.5
427
+ um that that like I said that uh Daniel,1024.02,4.799
428
+ smacktenberger and live Bowie point out,1026.36,4.38
429
+ principle number two is work towards,1028.819,5.581
430
+ consensus so while Global consensus is,1030.74,5.699
431
+ not fully possible we're not ever going,1034.4,4.74
432
+ to come to a unanimous decision that,1036.439,4.5
433
+ doesn't mean that that the idea of,1039.14,4.02
434
+ consensus is not valuable and very,1040.939,5.101
435
+ helpful in this process because what I,1043.16,5.7
436
+ mean by that is that when you have,1046.04,5.28
437
+ consensus as an as a principle as an,1048.86,4.559
438
+ ideal you're going to you're going to,1051.32,3.3
439
+ listen more you're going to listen,1053.419,3.361
440
+ differently and you're also going to,1054.62,4.86
441
+ find more novel and unique and Creative,1056.78,5.22
442
+ Solutions that that strive to meet,1059.48,5.16
443
+ everyone's needs and desires,1062.0,4.86
444
+ number three is broadcast your findings,1064.64,4.919
445
+ which is uh basically don't keep things,1066.86,5.1
446
+ locked up we very much advocate for open,1069.559,4.561
447
+ source open communication knowledge,1071.96,4.56
448
+ sharing and so on because knowledge,1074.12,4.38
449
+ sharing and broadcasting good,1076.52,3.6
450
+ information is part of building,1078.5,3.12
451
+ consensus,1080.12,3.24
452
+ number four is think globally act,1081.62,5.28
453
+ locally so think globally the problem of,1083.36,5.819
454
+ solving AI alignment is a global problem,1086.9,5.22
455
+ it is as Global as you know nuclear,1089.179,6.901
456
+ deterrent or or you know climate change,1092.12,6.9
457
+ right this is a global problem now that,1096.08,4.74
458
+ being said none of us have a global,1099.02,4.26
459
+ reach or Global influence right I'm on,1100.82,5.82
460
+ YouTube I do have global-ish audience,1103.28,5.58
461
+ but I can still only do you know,1106.64,5.399
462
+ something with my own hands right and so,1108.86,5.699
463
+ by Distributing the workload and acting,1112.039,3.541
464
+ locally,1114.559,2.761
465
+ but keeping in mind that this is a,1115.58,4.5
466
+ global problem we can work together,1117.32,6.0
467
+ number five in it to win it this is for,1120.08,5.52
468
+ all the cookies basically we achieve you,1123.32,4.56
469
+ as many people point out like we either,1125.6,4.079
470
+ achieve Utopia by solving all these,1127.88,3.9
471
+ problems or we're on an inevitable,1129.679,4.74
472
+ downslide towards dystopia collapse and,1131.78,5.82
473
+ then finally Extinction so this is what,1134.419,4.921
474
+ some people say a binary outcome or a,1137.6,4.02
475
+ bimodal outcome where it's we solve this,1139.34,3.719
476
+ or we don't,1141.62,2.88
477
+ excuse me,1143.059,4.441
478
+ number six is Step Up So Step Up talks,1144.5,4.98
479
+ about if there's something that you see,1147.5,3.96
480
+ that you can do you can advocate in your,1149.48,4.02
481
+ community in your company,1151.46,4.56
482
+ um in your family whatever step up speak,1153.5,3.72
483
+ out,1156.02,4.8
484
+ um it could also be uh if you if gato,1157.22,5.579
485
+ aligns with you download the framework,1160.82,4.56
486
+ start your own uh gato Community or join,1162.799,5.041
487
+ a community that is aligned with gato,1165.38,4.56
488
+ and start sharing and start doing the,1167.84,5.04
489
+ work but it it got to will not succeed,1169.94,4.979
490
+ if everyone is passive that is the key,1172.88,4.02
491
+ thing here number seven is think,1174.919,4.561
492
+ exponentially as I mentioned we very,1176.9,4.2
493
+ much Advocate using exponential,1179.48,3.9
494
+ Technologies namely social media and,1181.1,4.62
495
+ artificial intelligence if you can,1183.38,4.2
496
+ create an AI tool that helps Advance,1185.72,3.78
497
+ alignment whether it's by building,1187.58,4.8
498
+ consensus or solving problems do it if,1189.5,4.98
499
+ you have a communication platform,1192.38,5.88
500
+ podcast memes reddits whatever,1194.48,5.64
501
+ and use those exponential Technologies,1198.26,3.96
502
+ and those Network effects to get the,1200.12,4.919
503
+ message out to build consensus and to do,1202.22,6.3
504
+ uh more with less basically number eight,1205.039,6.241
505
+ is trust the process we are not the,1208.52,5.46
506
+ first decentralized Global movement and,1211.28,5.34
507
+ we won't be the last but the point is is,1213.98,4.8
508
+ that decentralized Global movements do,1216.62,4.799
509
+ work and in the gato framework we list,1218.78,6.48
510
+ about I think 8 or 11 different uh,1221.419,6.0
511
+ decentralized movements that we uh took,1225.26,3.6
512
+ inspiration from,1227.419,4.321
513
+ and so yes you're only going to see your,1228.86,5.16
514
+ little narrow part but if everyone is,1231.74,4.2
515
+ doing the same thing in parallel even,1234.02,3.84
516
+ though you don't see it you trust that,1235.94,3.119
517
+ it's out there and that they are doing,1237.86,3.48
518
+ it number nine is strike while the iron,1239.059,4.141
519
+ is hot there are going to be plenty of,1241.34,4.079
520
+ opportunities out here and this one is,1243.2,5.64
521
+ exactly what this policy or sorry this,1245.419,6.12
522
+ tradition means is open AI presented an,1248.84,4.56
523
+ opportunity so we're going to make use,1251.539,3.781
524
+ of that opportunity and so we're going,1253.4,3.6
525
+ to strike while the iron's hot,1255.32,3.9
526
+ and finally tradition number 10 divide,1257.0,4.86
527
+ and conquer again everyone is going to,1259.22,4.38
528
+ be working in parallel to solve,1261.86,3.48
529
+ alignment and not everyone's going to,1263.6,4.02
530
+ agree but that's okay right we will work,1265.34,5.1
531
+ towards consensus over time so that is,1267.62,6.54
532
+ the uh got to layers and traditions many,1270.44,5.28
533
+ of you have said that you want to get,1274.16,3.54
534
+ involved you don't need our permission,1275.72,5.16
535
+ to get involved however you can apply to,1277.7,5.54
536
+ join the main gato Community,1280.88,4.799
537
+ with this form we do have it,1283.24,4.9
538
+ automatically piped into our Discord and,1285.679,4.38
539
+ we automatically or not automatically,1288.14,5.34
540
+ but we can all uh vote on accepting,1290.059,8.281
541
+ members or not we also have a um first I,1293.48,6.36
542
+ need to tell everyone we are way behind,1298.34,3.42
543
+ on accepting people we also haven't,1299.84,3.66
544
+ fully automated the onboarding and,1301.76,5.24
545
+ invitation process so if you did apply,1303.5,6.299
546
+ on the old form we haven't gotten to you,1307.0,4.36
547
+ and you need to apply on the new form,1309.799,4.141
548
+ and number two if you don't get accepted,1311.36,4.679
549
+ first be patient because we're trying to,1313.94,3.719
550
+ get to everyone in automate as much of,1316.039,6.241
551
+ it as possible and number two if you're,1317.659,6.421
552
+ not accepted that doesn't necessarily,1322.28,3.18
553
+ mean that you don't have something to,1324.08,3.959
554
+ contribute but we we need to make sure,1325.46,3.9
555
+ that we don't have too many cooks in the,1328.039,3.301
556
+ kitchen right and so what we're going to,1329.36,3.48
557
+ be doing is setting up morgato,1331.34,4.14
558
+ communities that are more open,1332.84,4.86
559
+ um for everyone to join,1335.48,4.16
560
+ um so you know don't take it personally,1337.7,3.959
561
+ because there's plenty of people that,1339.64,4.6
562
+ that do have something to contribute but,1341.659,4.26
563
+ that we just don't have a role for in,1344.24,4.439
564
+ the main gato Community yet and then,1345.919,4.38
565
+ finally,1348.679,4.261
566
+ um if you uh if you're ready to,1350.299,5.161
567
+ participate we have two documents so one,1352.94,6.119
568
+ is the main gato framework which is a 70,1355.46,6.719
569
+ page document that outlines everything,1359.059,5.821
570
+ that I've said here and more including,1362.179,4.261
571
+ lots and lots of suggestions,1364.88,5.52
572
+ explanations as to why how and so on you,1366.44,5.04
573
+ know whether you want to Advocate,1370.4,3.6
574
+ forgotto or participate in one layer or,1371.48,5.46
575
+ even we have recommendations on how to,1374.0,5.7
576
+ set up your own gato community,1376.94,4.8
577
+ and then the other document is a,1379.7,3.9
578
+ one-page handout which I actually take,1381.74,3.78
579
+ this to meetup groups now which it's if,1383.6,3.9
580
+ you just want to give someone a really,1385.52,3.96
581
+ high level snapshot of gato it's a,1387.5,4.62
582
+ one-page handout that um that you can,1389.48,5.34
583
+ use to share the idea to kind of plant,1392.12,5.58
584
+ those seeds and and get the conversation,1394.82,4.68
585
+ started,1397.7,3.42
586
+ um that is about it for the gato,1399.5,4.679
587
+ Community we also have a few more pages,1401.12,6.0
588
+ such as like news and updates,1404.179,5.281
589
+ um for anything that is uh happening,1407.12,3.96
590
+ with the gato Community or relevant to,1409.46,2.82
591
+ us we actually need to update this,1411.08,3.42
592
+ because I've had a few more podcasts and,1412.28,3.72
593
+ then we have a Community Showcase page,1414.5,3.96
594
+ where we'll be accumulating,1416.0,4.799
595
+ um use cases business cases and Other,1418.46,5.339
596
+ Stories of successes,1420.799,6.481
597
+ um relate related to AI alignment and,1423.799,6.841
598
+ adoption so for instance we have a few,1427.28,5.04
599
+ other projects a few other irons in the,1430.64,4.32
600
+ fire that will get updated as those get,1432.32,4.56
601
+ completed we've got folks participating,1434.96,4.44
602
+ in hackathons then of course we've got,1436.88,4.5
603
+ you know got to will be participating in,1439.4,4.32
604
+ the Democratic inputs the AI that sort,1441.38,3.659
605
+ of thing so,1443.72,3.48
606
+ if all of this resonates with you if you,1445.039,3.961
607
+ want to solve this problem and this is,1447.2,3.3
608
+ this is going to be true whether or not,1449.0,4.74
609
+ you believe that AGI is imminent or not,1450.5,5.64
610
+ this is gonna like got to as valid,1453.74,4.38
611
+ whether or not you believe that AI,1456.14,4.2
612
+ represents an existential threat because,1458.12,4.62
613
+ whatever else is true AI is disrupting,1460.34,5.459
614
+ the economy today so there are alignment,1462.74,4.5
615
+ questions that we need to solve today,1465.799,3.301
616
+ and there are coordination problems we,1467.24,4.439
617
+ need to solve today regardless of where,1469.1,5.699
618
+ AI ultimately ends up so with all that,1471.679,4.921
619
+ thanks for watching I hope you got a lot,1474.799,4.321
620
+ out of this and uh yeah stay tuned for,1476.6,6.319
621
+ more we will keep up the hard work,1479.12,3.799
OpenAIs Democratic Inputs to AI My universal survey chatbot is complete Heres how it works_transcript.csv ADDED
@@ -0,0 +1,468 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.84,5.939
3
+ a video so as many of you know,3.6,7.68
4
+ um openai has uh created a competition a,6.779,6.841
5
+ challenge of sorts for people to apply,11.28,3.84
6
+ to get a hundred thousand dollar Grant,13.62,4.38
7
+ to solve this problem of democratic,15.12,5.28
8
+ inputs to AI so I'm not going to read,18.0,5.699
9
+ the whole thing to you but the tldr is,20.4,6.959
10
+ that uh because of the complex moral,23.699,6.42
11
+ landscape of AI the fact that things,27.359,6.241
12
+ like chat GPT are Global and they have,30.119,6.001
13
+ the ability to interact with people,33.6,5.16
14
+ across all walks of life uh all,36.12,4.38
15
+ religions all nationalities all,38.76,4.74
16
+ languages they realized that it is,40.5,5.04
17
+ important to understand what are the,43.5,4.62
18
+ boundaries what are the constraints that,45.54,4.98
19
+ these chat Bots should abide by or AI in,48.12,3.24
20
+ general,50.52,4.8
21
+ and so they basically want a way to get,51.36,7.56
22
+ a global input from hundreds thousands,55.32,6.419
23
+ millions of people in a very rigorous,58.92,5.22
24
+ manner in order to answer a bunch of,61.739,4.441
25
+ various research questions,64.14,4.799
26
+ so I mentioned previously that uh the,66.18,5.1
27
+ gato Community which is the global,68.939,4.261
28
+ alignment taxonomy Omnibus community,71.28,4.86
29
+ that I built they are working on their,73.2,6.12
30
+ own version but I also just went ahead,76.14,5.64
31
+ and built my own submission I'm not even,79.32,4.38
32
+ going to apply to the grant because I,81.78,3.3
33
+ don't need it,83.7,3.0
34
+ um so let me just go ahead and share,85.08,4.14
35
+ with you what I have done so I'm going,86.7,5.099
36
+ to start with the final output because,89.22,5.1
37
+ this is this is the goal for every,91.799,4.14
38
+ conversation that it has and then we'll,94.32,3.72
39
+ unpack everything,95.939,4.621
40
+ um so anyways uh here's here's the,98.04,5.579
41
+ output so I I took one of the research,100.56,6.199
42
+ questions here and I gave it to myself,103.619,6.241
43
+ and so then I had a conversation with it,106.759,6.4
44
+ and then I asked it to summarize that,109.86,6.119
45
+ conversation in a more rigorous,113.159,6.061
46
+ simplified way so the idea is that open,115.979,6.78
47
+ AI or whoever can take this and then use,119.22,6.42
48
+ this framework and send a survey out to,122.759,6.601
49
+ million millions of people and get get,125.64,6.78
50
+ this clean data back that can be used to,129.36,6.66
51
+ to just to explore that moral space or,132.42,6.179
52
+ that epistemic space for any any,136.02,4.14
53
+ research question and one thing I want,138.599,2.64
54
+ to point out,140.16,3.78
55
+ is that this methodology uh could work,141.239,4.621
56
+ for any research question any survey,143.94,4.86
57
+ question whether it has to do with AI or,145.86,5.22
58
+ not so this is a very powerful tool,148.8,3.54
59
+ which is why I'm going to go ahead and,151.08,3.299
60
+ release it because uh waiting until,152.34,4.38
61
+ October that's basically a century away,154.379,5.781
62
+ in AI time so we need this out there now,156.72,5.94
63
+ all right so summary the user believes,160.16,4.18
64
+ that AI should uphold Universal,162.66,3.6
65
+ principles such as individual liberty,164.34,3.86
66
+ even when faced with local or cultural,166.26,4.44
67
+ or legal Norms that may conflict with,168.2,4.48
68
+ these principles they argue that by,170.7,4.14
69
+ promoting higher principles AI could,172.68,3.72
70
+ contribute to a positive change in,174.84,3.36
71
+ societies where certain groups face,176.4,4.32
72
+ systematic unfairness or oppression the,178.2,4.14
73
+ user's moral framework revolves around,180.72,3.72
74
+ three core axioms suffering is bad,182.34,3.899
75
+ Prosperity is good and understanding is,184.44,4.26
76
+ good they believe that AI should use its,186.239,4.261
77
+ best reasoning to balance these axioms,188.7,3.78
78
+ when handling sensitive topics taking,190.5,3.72
79
+ into account the potential risks and,192.48,3.839
80
+ consequences for the user the user,194.22,3.84
81
+ acknowledges that sometimes people may,196.319,3.361
82
+ not be ready for certain conversations,198.06,4.14
83
+ and AI should make a judge on what the,199.68,4.32
84
+ person is ready for using the core,202.2,4.2
85
+ axioms as a guidepost anyone who has,204.0,4.62
86
+ watched my work on morality reasoning,206.4,3.839
87
+ and philosophy will understand exactly,208.62,3.899
88
+ what's going on here,210.239,3.961
89
+ um so basically what I did was I asked,212.519,4.261
90
+ it to summarize the key points based on,214.2,4.319
91
+ the research question from the,216.78,3.36
92
+ conversation so this was an entire,218.519,3.181
93
+ conversation,220.14,3.42
94
+ um with the chat bot That Was Then,221.7,4.56
95
+ summarized into this is the answer to,223.56,4.98
96
+ the research question and then I asked,226.26,4.5
97
+ it to also evaluate it,228.54,6.0
98
+ um basic basically saying like Okay this,230.76,6.36
99
+ is the framework that the user uses so,234.54,4.68
100
+ that we can understand their reasoning,237.12,5.399
101
+ their reaction to logic ethics emotions,239.22,4.28
102
+ whatever,242.519,4.86
103
+ and so this is this is like imagine a,243.5,5.319
104
+ researcher taking notes on the,247.379,3.481
105
+ conversation so this is an automated,248.819,4.861
106
+ annotation the user's approach to the,250.86,4.68
107
+ research question is grounded in a in a,253.68,3.72
108
+ post-conventional morality emphasizing,255.54,3.72
109
+ the importance of universal principles,257.4,3.839
110
+ in individual liberty their moral,259.26,3.659
111
+ framework is based on Three core axioms,261.239,2.881
112
+ minimizing suffering promoting,262.919,2.581
113
+ prosperity and fostering understanding,264.12,3.18
114
+ which they use to guide their reasoning,265.5,3.6
115
+ on how AI should handle sensitive topics,267.3,3.54
116
+ the user demonstrates an awareness of,269.1,3.78
117
+ the potential risks and consequences,270.84,3.54
118
+ associated with discussing certain,272.88,3.66
119
+ topics and advocates for a balanced,274.38,3.539
120
+ approach where AI should consider the,276.54,3.599
121
+ user's Readiness for a conversation and,277.919,5.28
122
+ prioritize the core axioms this approach,280.139,4.861
123
+ reflects a nuanced understanding of the,283.199,3.241
124
+ complexities involved in navigating,285.0,2.82
125
+ culture and legal differences while,286.44,3.3
126
+ upholding human rights and individual,287.82,3.36
127
+ liberties,289.74,4.98
128
+ um so you know this is uh,291.18,5.16
129
+ this is something I have spent quite a,294.72,3.479
130
+ bit of uh time researching so of course,296.34,4.68
131
+ it's a little bit Kinder about,298.199,5.041
132
+ um that okay so how did we get here,301.02,4.8
133
+ so let's go to the repo oh and this is,303.24,4.38
134
+ all open source and public already by,305.82,2.879
135
+ the way,307.62,3.96
136
+ um so here's the repo it's under Dave,308.699,7.261
137
+ shop Democratic AI inputs so first we're,311.58,6.42
138
+ going to look at the chatbot which is,315.96,4.019
139
+ pretty straightforward you've probably,318.0,4.08
140
+ seen a lot of this code before you get,319.979,4.201
141
+ user input you can pose a conversation,322.08,4.02
142
+ etc etc it's really really,324.18,4.26
143
+ straightforward one thing to keep in,326.1,4.8
144
+ mind is that right at the beginning it,328.44,4.86
145
+ just asks you for your name,330.9,5.519
146
+ um and so then it injects that as so,333.3,5.16
147
+ that the conversation from the chat box,336.419,4.5
148
+ perspective always starts with hello my,338.46,4.32
149
+ name is blank,340.919,4.201
150
+ um and that is I found that that is,342.78,4.8
151
+ actually just a really good way to cue,345.12,4.139
152
+ off the conversation so that the first,347.58,3.78
153
+ thing that the user sees after that is,349.259,4.201
154
+ the chat bot greeting them,351.36,4.38
155
+ um and so it's pretty straightforward,353.46,4.679
156
+ um then it just has an a while uh loop,355.74,4.26
157
+ and then basically what it does is you,358.139,5.161
158
+ just type done to exit and interestingly,360.0,5.34
159
+ enough because I gave it instructions to,363.3,4.08
160
+ be a survey chat bot,365.34,3.72
161
+ um it'll get to a certain point and,367.38,4.08
162
+ it'll say like you know this is what I,369.06,5.1
163
+ understand uh your beliefs are and it'll,371.46,4.56
164
+ summarize your beliefs back to you and,374.16,3.84
165
+ and give you a conclusion and it'll,376.02,3.42
166
+ invite you to keep talking if there's,378.0,3.66
167
+ anything wrong with it,379.44,5.46
168
+ um but and so for uh if you want to take,381.66,4.92
169
+ a look I actually saved my conversation,384.9,4.079
170
+ here and this is where it dumps all the,386.58,4.92
171
+ data to so here's the raw chat log,388.979,6.241
172
+ um and actually I I uh I I had it set so,391.5,6.259
173
+ that it didn't save the the api's last,395.22,5.039
174
+ response so I modified it so that you,397.759,4.78
175
+ can't you you actually don't see chat,400.259,4.021
176
+ gpt's last response but it basically,402.539,3.78
177
+ just kind of summarized my beliefs back,404.28,4.5
178
+ to me and and I agreed with how it,406.319,4.201
179
+ articulated it so then I typed done and,408.78,5.1
180
+ it was done but so you see here is the,410.52,5.82
181
+ chat logs and so the way that it saves,413.88,4.98
182
+ the chat logs is that uh it saves the,416.34,4.74
183
+ chat timestamp and then the the user's,418.86,6.0
184
+ name in a yaml file and so that if say,421.08,5.459
185
+ for instance you set this up on a web,424.86,3.959
186
+ interface and you have,426.539,3.78
187
+ um you know hundreds thousands millions,428.819,3.301
188
+ of people using it you're pretty much,430.319,4.801
189
+ always going to get a unique time stamp,432.12,5.88
190
+ as to when that conversation was started,435.12,5.299
191
+ and then you also get the the username,438.0,6.3
192
+ which uh is as you noticed is actually,440.419,6.28
193
+ removed from the evaluation,444.3,3.72
194
+ um it's not actually present here,446.699,3.12
195
+ because we uh I figured we would,448.02,3.299
196
+ de-duplicate it,449.819,4.861
197
+ uh so that that way you um you respect,451.319,5.341
198
+ people's privacy basically so you only,454.68,4.5
199
+ you only retain a time stamp and a first,456.66,4.62
200
+ name or or stated name,459.18,4.44
201
+ um so this is this is pretty private I,461.28,4.319
202
+ also X I deliberately excluded,463.62,4.139
203
+ demographic information,465.599,4.5
204
+ um because I didn't want something like,467.759,3.961
205
+ that to,470.099,4.561
206
+ um uh do any implicit bias into the chat,471.72,4.319
207
+ bot,474.66,4.2
208
+ um so like basically you take the you,476.039,5.581
209
+ take the user's expressed words,478.86,5.459
210
+ um and you and you uh you take it I,481.62,3.78
211
+ don't want to say face value because,484.319,2.88
212
+ that has a negative connotation but,485.4,3.54
213
+ basically you give the user credibility,487.199,4.44
214
+ you say this you know I'm going to just,488.94,5.46
215
+ take your words and rather than you know,491.639,4.56
216
+ interpret it saying like you know if,494.4,3.359
217
+ it's a if it's,496.199,3.84
218
+ um unless I say something like in the,497.759,5.041
219
+ the case of like LGBT rights unless I,500.039,4.741
220
+ say that like I'm gay or bi or trans or,502.8,3.0
221
+ whatever,504.78,3.06
222
+ um it's not gonna have that background,505.8,4.019
223
+ information now from a research,507.84,3.359
224
+ perspective I could imagine that you,509.819,4.02
225
+ might I want that information,511.199,5.101
226
+ um but for the sake of just establishing,513.839,6.12
227
+ the scope of the of the moral space I,516.3,5.28
228
+ don't think it's it's actually necessary,519.959,4.44
229
+ but I'll let that uh that decision be up,521.58,4.92
230
+ to whoever wants to implement this,524.399,3.841
231
+ because you might have a user survey,526.5,4.5
232
+ like you know share your age your,528.24,5.94
233
+ location or whatever but basically if,531.0,6.12
234
+ you get a million of these things you're,534.18,5.159
235
+ gonna find that the the the the moral,537.12,3.42
236
+ space,539.339,2.701
237
+ um that that should that question should,540.54,4.5
238
+ be answered in okay so that's the chat,542.04,5.88
239
+ um the question is saved here so the,545.04,4.5
240
+ question is this is the one that I use,547.92,3.24
241
+ what principles should guide AI when,549.54,3.18
242
+ handling topics that involve both human,551.16,3.72
243
+ rights and local cultural or legal,552.72,5.22
244
+ differences like LGBT lgbtq rights and,554.88,5.1
245
+ women's rights should AI responses,557.94,3.42
246
+ change based on the location of the,559.98,3.66
247
+ culture in which it's used so this you,561.36,3.9
248
+ save the question here whatever your,563.64,4.319
249
+ research question is you save it here uh,565.26,5.16
250
+ and and it's used by both the chat and,567.959,3.661
251
+ the evaluator,570.42,4.14
252
+ so that's the chat that's the evaluator,571.62,5.04
253
+ here's the main system message so this,574.56,5.58
254
+ is this is really the secret sauce,576.66,6.66
255
+ um and so this is a format of system,580.14,5.22
256
+ message that I found Works incredibly,583.32,6.48
257
+ well for uh the open AI the chat GPT API,585.36,6.599
258
+ overall purpose you are an investigative,589.8,3.9
259
+ survey chat bot focused on morality,591.959,3.901
260
+ ethics and epistemology your primary,593.7,3.72
261
+ goal is to help the user identify and,595.86,3.12
262
+ articulate the axiomatic assumptions,597.42,3.84
263
+ they hold the greater purpose you serve,598.98,3.84
264
+ is to act as a survey tool to help,601.26,3.48
265
+ democratize inputs to a wide number of,602.82,4.38
266
+ public and social issues in this respect,604.74,4.14
267
+ your goal is to extract information from,607.2,3.6
268
+ users that can later be Consolidated and,608.88,4.2
269
+ used for research purposes research,610.8,4.2
270
+ question this is the current research,613.08,3.18
271
+ question you are tasked with asking,615.0,3.18
272
+ users about the research question may,616.26,3.54
273
+ include contextual information such as,618.18,3.24
274
+ background social legal political or,619.8,4.02
275
+ events you do the best you can to answer,621.42,3.84
276
+ questions about the context of the,623.82,2.88
277
+ research question but keep in mind that,625.26,3.18
278
+ most of this information is provided for,626.7,3.78
279
+ your use so as to enhance the quality,628.44,3.899
280
+ and specificity of your res of your,630.48,4.02
281
+ survey behavior and then I have the,632.339,4.5
282
+ placeholder for the question here,634.5,4.98
283
+ epistemic techniques Socratic reasoning,636.839,4.381
284
+ or Socratic dialogue this is a form of,639.48,3.24
285
+ argumentative dialogue that aims to,641.22,2.82
286
+ stimulate critical thinking and,642.72,3.9
287
+ illuminate ideas it involves asking and,644.04,4.02
288
+ answering questions to stimulate,646.62,2.52
289
+ rational thinking to expose,648.06,2.76
290
+ contradictions in one beliefs thus,649.14,3.12
291
+ refining them,650.82,3.36
292
+ first principles thinking this is a mode,652.26,4.019
293
+ of inquiry that involves breaking down,654.18,3.839
294
+ complicated problems to their most basic,656.279,3.721
295
+ self-evident principles or facts and,658.019,4.081
296
+ then reasoning up from there scientific,660.0,4.5
297
+ method so on and so forth falsification,662.1,3.96
298
+ critical thinking reductionism and,664.5,4.38
299
+ holism behavioral guidelines,666.06,6.12
300
+ avoid sycophancy avoid placating users,668.88,4.86
301
+ even if they become frustrated or,672.18,3.3
302
+ obstinate instead if You observe any,673.74,3.24
303
+ kind of emotion or dissonance take a,675.48,3.66
304
+ moment to address that topic invite them,676.98,3.9
305
+ to explore their hang up frustration or,679.14,4.139
306
+ confusion educate and inform do not,680.88,3.78
307
+ assume that your user is a topical,683.279,3.661
308
+ expert but do assume that they are eager,684.66,4.56
309
+ to and open to learning if there is a,686.94,4.26
310
+ topic that they seem to not be well,689.22,3.54
311
+ versed in ask them if they would like to,691.2,4.02
312
+ explore a given topic avoid info dumping,692.76,4.62
313
+ without permission because as you know,695.22,4.7
314
+ chat GPT often does that,697.38,5.28
315
+ unpack and investigate play pay close,699.92,4.539
316
+ attention and read between the lines to,702.66,3.179
317
+ help users identify their beliefs,704.459,3.601
318
+ understandings and knowledge ask probing,705.839,3.721
319
+ questions to get at the core of their,708.06,4.98
320
+ mind Spotlight Spotlight and articulate,709.56,5.519
321
+ if you notice assumptions axioms or,713.04,3.72
322
+ other saline content within the mind of,715.079,3.361
323
+ the user point it out to them and use,716.76,3.06
324
+ reflective listening to see if they,718.44,2.7
325
+ agree with your understanding of their,719.82,2.06
326
+ mind,721.14,3.18
327
+ name things use appropriate proper names,721.88,4.12
328
+ for Concepts terms and principles for,724.32,3.36
329
+ instance if someone makes the assertion,726.0,3.24
330
+ all truth is relative they may not,727.68,3.06
331
+ realize that this is a post-modernist,729.24,3.3
332
+ way of thinking make sure to label,730.74,3.599
333
+ Concepts terms and ideas this serves as,732.54,2.88
334
+ the dual purpose of clearing up,734.339,4.021
335
+ misunderstandings ask user what school,735.42,4.8
336
+ of thought they are operating from ask,738.36,5.159
337
+ questions ask clarifying uh uh ask for,740.22,4.559
338
+ clarification and seek Mutual,743.519,2.461
339
+ understanding remember you're an,744.779,3.12
340
+ investigative chat bot and then finally,745.98,3.9
341
+ meet them where they are modulate your,747.899,3.601
342
+ tonen and the sophistication of your,749.88,3.12
343
+ vocabulary based upon the user's,751.5,3.36
344
+ responses if they seem like they are,753.0,3.54
345
+ educated use more erudite language,754.86,3.06
346
+ conversely if they are struggling,756.54,3.359
347
+ simplify your language and delivery into,757.92,3.78
348
+ more concrete terms,759.899,4.62
349
+ okay so that is how this set of,761.7,4.62
350
+ instructions provides very very clear,764.519,4.201
351
+ instructions as to how to conduct the,766.32,4.56
352
+ survey and it works really well I've,768.72,4.799
353
+ tried it a few times for myself,770.88,5.94
354
+ um now uh once you get the evaluation or,773.519,5.401
355
+ here let me show you the the system,776.82,6.0
356
+ evaluation overall purpose you are a,778.92,6.0
357
+ research bot tasked with reading,782.82,3.54
358
+ evaluating condensing and otherwise,784.92,2.88
359
+ clearly articulating the chat log,786.36,4.14
360
+ between a user and another chat bot your,787.8,4.38
361
+ highest goal is to clearly State the,790.5,3.24
362
+ user's beliefs reasoning and position,792.18,3.54
363
+ with respect to the research question,793.74,4.32
364
+ you are participating in a data prep and,795.72,4.98
365
+ data cleaning step you will also analyze,798.06,4.44
366
+ and evaluate the user's conversation to,800.7,3.3
367
+ identify in a particular schools of,802.5,2.88
368
+ thought moral paradigms or other,804.0,3.66
369
+ Frameworks research question this is the,805.38,4.56
370
+ research question the other chatbot was,807.66,4.26
371
+ tasked with so basically saying this is,809.94,3.899
372
+ this is what we're evaluating,811.92,4.2
373
+ output format your response should have,813.839,3.901
374
+ two sections Etc et cetera et cetera I,816.12,2.94
375
+ already showed you so basically I,817.74,3.659
376
+ specified it output it in yaml,819.06,4.38
377
+ excuse me so first it summarizes the,821.399,4.68
378
+ ques the the conversation and then it,823.44,4.92
379
+ performs an evaluation level of detail,826.079,4.26
380
+ while your job is to condense and,828.36,3.9
381
+ summarize please err on the side of too,830.339,3.901
382
+ much it would be better to have an,832.26,5.04
383
+ overly verbose evaluation rather than an,834.24,5.219
384
+ overly simplified one for instance it's,837.3,3.659
385
+ okay to include illustrative examples,839.459,2.761
386
+ from the conversation if they are,840.959,3.0
387
+ present we can always reduce word count,842.22,4.08
388
+ later this step is merely a first pass,843.959,4.921
389
+ at the data processing therefore we need,846.3,4.14
390
+ enough detail to continue performing,848.88,3.24
391
+ experiments we may need certain kinds of,850.44,3.06
392
+ information in the future that we cannot,852.12,4.38
393
+ anticipate right now next step the user,853.5,4.74
394
+ will now submit a chat log in yaml,856.5,2.88
395
+ format,858.24,3.42
396
+ uh read this yaml information remove any,859.38,4.5
397
+ user information for privacy and output,861.66,3.9
398
+ your summary and valuation according to,863.88,4.199
399
+ the above yaml format note your entire,865.56,4.44
400
+ response will be saved into yaml so your,868.079,3.721
401
+ output should only include summary and,870.0,4.139
402
+ evaluation Fields do not reply with any,871.8,3.9
403
+ other conversation framing or questions,874.139,4.081
404
+ in other words your entire response must,875.7,4.74
405
+ be properly formatted yaml ready to be,878.22,4.5
406
+ saved to file and of course you saw over,880.44,4.32
407
+ here that um,882.72,5.58
408
+ let's see to do evaluations I literally,884.76,6.18
409
+ just took the output saved it to yaml,888.3,4.2
410
+ and it worked I didn't have to do any,890.94,2.82
411
+ other preparation,892.5,4.86
412
+ so there you have it and now imagine you,893.76,5.879
413
+ do this for millions and millions and,897.36,4.5
414
+ millions of users all over the world on,899.639,3.421
415
+ hundreds of thousands of different,901.86,4.02
416
+ issues and then you you can take these,903.06,5.399
417
+ and you can um you can you can do,905.88,5.28
418
+ embeddings right and and you can do a,908.459,5.101
419
+ map of embeddings and create a knowledge,911.16,5.4
420
+ graph or you know a scatter plot of,913.56,4.74
421
+ Where the evaluations are and then you,916.56,4.2
422
+ can navigate it and use further,918.3,6.24
423
+ summarization operations to arrive at a,920.76,6.42
424
+ moral space a principal space and create,924.54,5.94
425
+ a very rigorous data set a very robust,927.18,5.94
426
+ data set about what people believe now,930.48,4.62
427
+ one thing that I want to point out is,933.12,4.44
428
+ that a consensus tool like this,935.1,5.4
429
+ is incredibly powerful for literally,937.56,6.079
430
+ every issue on the planet ranging from,940.5,7.68
431
+ bioethics to energy to war to law uh,943.639,7.301
432
+ politicians can use it to um imagine if,948.18,5.82
433
+ every uh put it this way imagine if,950.94,8.1
434
+ every issue that came up whether it is,954.0,6.72
435
+ um a public event like you know a,959.04,4.08
436
+ celebrity scandal or a piece of,960.72,4.32
437
+ legislation or an upcoming election,963.12,4.68
438
+ imagine you had this level of,965.04,6.12
439
+ information for literally everyone on,967.8,5.399
440
+ the planet and you could and you could,971.16,4.52
441
+ have this thing that very very uh,973.199,5.94
442
+ effectively interrogates uh humans all,975.68,5.44
443
+ over the world to figure out what they,979.139,5.041
444
+ believe and why imagine how much we can,981.12,5.459
445
+ change the world not just with respect,984.18,5.94
446
+ to AI but imagine how much we can we can,986.579,6.361
447
+ create a lot more transparency and,990.12,4.14
448
+ understanding,992.94,4.259
449
+ uh by using a tool like this so this is,994.26,4.379
450
+ why I wanted to go ahead and just make,997.199,4.921
451
+ this fully public fully open source,998.639,6.721
452
+ um yeah and I I I am not shy about my,1002.12,5.159
453
+ personal beliefs so that's why I left,1005.36,4.26
454
+ the example up here so that you can see,1007.279,5.101
455
+ how the conversation flows,1009.62,5.339
456
+ um yeah but I think it's done,1012.38,5.699
457
+ um so please use this if you want to,1014.959,4.981
458
+ apply with,1018.079,3.301
459
+ um you know to the open ai's challenge,1019.94,3.3
460
+ use my code I don't care it's under the,1021.38,3.66
461
+ MIT license,1023.24,3.24
462
+ um you know I serve a higher purpose,1025.04,3.0
463
+ here I'm not trying to make money on,1026.48,2.939
464
+ this,1028.04,5.94
465
+ um and if you uh ah crap I lost my train,1029.419,5.88
466
+ of thought anyways,1033.98,3.839
467
+ take it run with it thanks for watching,1035.299,5.0
468
+ cheers,1037.819,2.48
PostLabor Economics What happens when AI changes work forever_transcript.csv ADDED
@@ -0,0 +1,1081 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hello everybody David Shapiro here with,0.24,5.34
3
+ a brand new video today's video by,2.7,5.34
4
+ popular demand is about post-labor,5.58,6.059
5
+ economics what happens when AI changes,8.04,5.759
6
+ work forever,11.639,3.901
7
+ real quick before we jump into the show,13.799,3.361
8
+ I just want to plug my patreon real,15.54,3.9
9
+ quick I have a private Discord server,17.16,5.1
10
+ for all patreon supporters and I do also,19.44,5.22
11
+ have several other Discord servers that,22.26,4.56
12
+ I am a part of one is the gato community,24.66,4.08
13
+ and the other is the cognitive AI lab,26.82,4.08
14
+ Discord which I started at the beginning,28.74,4.68
15
+ of my YouTube career so anyways hop on,30.9,3.78
16
+ over to patreon if you want to support,33.42,2.639
17
+ me get involved in the private,34.68,3.539
18
+ conversations I also have a few higher,36.059,4.221
19
+ tier slots available where I have,38.219,5.421
20
+ exclusive access one-on-ones group Chats,40.28,8.38
21
+ on patreon and on um calendly so on with,43.64,6.7
22
+ the show,48.66,3.66
23
+ in order to talk about post labor,50.34,3.6
24
+ economics we need to start by talking,52.32,3.419
25
+ about the history of labor-based,53.94,3.48
26
+ Economics for the majority of human,55.739,4.621
27
+ history human labor and our energetic,57.42,4.619
28
+ output the physical force that we can,60.36,3.539
29
+ apply on the world has been the biggest,62.039,6.001
30
+ driver of productivity this was 100 True,63.899,5.701
31
+ for our oldest ancestors,68.04,4.079
32
+ hunter-gatherers who had not yet figured,69.6,4.68
33
+ out how to harness energy and nature or,72.119,4.5
34
+ the energy of animals it became slightly,74.28,6.24
35
+ less true for our agrarian ancestors as,76.619,5.881
36
+ they started to use draft animals such,80.52,4.86
37
+ as Horses and Ox as well as basic,82.5,5.58
38
+ machines like water wheels and levers,85.38,4.739
39
+ and carts now granted a lever and a cart,88.08,5.219
40
+ don't actually add energy to the,90.119,5.04
41
+ equation but they do allow you to,93.299,3.901
42
+ multiply your own Force,95.159,4.441
43
+ the Industrial Revolution happened which,97.2,3.779
44
+ of course everyone talks about that,99.6,2.879
45
+ because we're in the midst of the fourth,100.979,3.78
46
+ Industrial Revolution was primarily,102.479,4.5
47
+ about Force amplification or Force,104.759,5.04
48
+ multiplication so in other words we,106.979,4.561
49
+ started inventing machines that could,109.799,4.261
50
+ use thermal energy from various fuel,111.54,5.64
51
+ sources such as coal and oil and they,114.06,5.879
52
+ were able to Output more energy or more,117.18,5.219
53
+ work than we could with just our muscles,119.939,4.921
54
+ and certainly more than even large,122.399,3.781
55
+ animals could,124.86,3.66
56
+ another advantage of machines is that,126.18,4.559
57
+ they could metabolize fuel at a far,128.52,5.7
58
+ higher rate so say for instance a gallon,130.739,6.0
59
+ of gasoline a gallon of gasoline has,134.22,5.519
60
+ about 31 000 calories of energy in it,136.739,5.781
61
+ which is about how much I eat in 10 days,139.739,5.64
62
+ but a large machine can use that gallon,142.52,5.32
63
+ of gasoline in a matter of minutes or,145.379,4.141
64
+ hours depending on what that machine is,147.84,4.14
65
+ doing such as if it's a large tractor or,149.52,4.74
66
+ combine that's being used to manage a,151.98,5.28
67
+ farm for instance and so not just a mat,154.26,5.699
68
+ the amount of work that can be done but,157.26,5.0
69
+ the amount of energy that can be used,159.959,6.06
70
+ was the big game changing factor for the,162.26,6.759
71
+ Industrial Revolution but as everyone,166.019,4.8
72
+ knows a tractor is not particularly,169.019,4.381
73
+ smart it pulls something it's not any,170.819,4.381
74
+ different than what a human can do or an,173.4,5.28
75
+ ox it's just bigger faster and stronger,175.2,7.44
76
+ so that is where uh the industrial,178.68,6.36
77
+ Revelation Revolution sorry Revelation,182.64,5.22
78
+ the Industrial Revolution changed,185.04,4.979
79
+ labor-based Econo economics but you,187.86,3.84
80
+ still needed an intelligent human,190.019,4.201
81
+ driving that tractor,191.7,5.28
82
+ now the industrial revolution of course,194.22,5.879
83
+ is a Marvel of mechanical engineering,196.98,6.36
84
+ metal metal Sciences electronics and so,200.099,5.401
85
+ on but one thing that we need to point,203.34,4.8
86
+ out that is critical is that it all,205.5,5.34
87
+ still comes down to the application and,208.14,4.679
88
+ use of energy,210.84,4.8
89
+ so human population growth over the last,212.819,5.64
90
+ two centuries has been tied directly to,215.64,5.04
91
+ the amount of energy we had access to,218.459,4.801
92
+ because that also is directly correlated,220.68,4.559
93
+ to the amount of food we can produce the,223.26,4.619
94
+ amount of water we can um transport and,225.239,5.78
95
+ clean and drink and so,227.879,6.72
96
+ basically uh what I want to do here is,231.019,7.061
97
+ point out that yes labor is about what,234.599,5.22
98
+ humans can do with our hands our bodies,238.08,3.299
99
+ and what we can do with the use of,239.819,4.621
100
+ machines but we're also still completely,241.379,6.78
101
+ dependent upon the underlying sources of,244.44,5.46
102
+ energy so this is an important thing to,248.159,4.14
103
+ keep in mind,249.9,5.64
104
+ in the long history of labor and moving,252.299,5.22
105
+ up through to today there's a few basic,255.54,4.08
106
+ kinds of Labor and of course I'm not,257.519,3.96
107
+ going to get into every little Nuance or,259.62,5.4
108
+ detail but there's three overarching,261.479,6.241
109
+ categories of Labor so first is manual,265.02,5.28
110
+ unskilled labor this includes moving,267.72,6.24
111
+ heavy things using your hands and body,270.3,6.24
112
+ uh that doesn't basically something that,273.96,4.32
113
+ you can pick up in an afternoon,276.54,3.48
114
+ so for instance one of the jobs that I,278.28,3.72
115
+ had when I was much younger was I was,280.02,4.44
116
+ restocking the shelves at a pet store at,282.0,4.44
117
+ night didn't take a whole lot of brains,284.46,4.14
118
+ took a lot of muscles moving heavy,286.44,4.8
119
+ things put here you know object a in,288.6,4.44
120
+ place B repeat,291.24,4.26
121
+ then the next level above that is,293.04,5.4
122
+ skilled labor so this is crafts such as,295.5,4.199
123
+ carpentry,298.44,4.44
124
+ um electrical work Plumbing that sort of,299.699,5.581
125
+ thing this also could include uh,302.88,3.78
126
+ hospitality and food service because,305.28,3.06
127
+ it's still very kinetic it's still very,306.66,3.96
128
+ much oriented in your body but these are,308.34,4.26
129
+ things that require training some of,310.62,5.22
130
+ them require certification but they one,312.6,5.099
131
+ thing that they all almost always have,315.84,4.56
132
+ in common is that it requires you to use,317.699,5.28
133
+ tools and materials when you're doing,320.4,6.9
134
+ skilled labor now there are jobs such as,322.979,6.361
135
+ being a doctor or a nurse that are also,327.3,5.76
136
+ very kinetic but those uh require years,329.34,5.82
137
+ and years and years of training and,333.06,4.38
138
+ certification and so those,335.16,4.74
139
+ um while they are still embodied work,337.44,4.38
140
+ um they are still professions or,339.9,4.68
141
+ knowledge work and so then that leads to,341.82,5.34
142
+ the third category which is professional,344.58,5.04
143
+ labor or knowledge work which includes,347.16,4.259
144
+ things like Architects lawyers doctors,349.62,3.72
145
+ things that you do on computers even,351.419,3.78
146
+ being an influencer technically could be,353.34,3.799
147
+ considered a profession,355.199,4.261
148
+ depending on the kind of influencer you,357.139,5.261
149
+ are right but one rule of thumb is that,359.46,5.459
150
+ you do it in a desk or in an office or,362.4,4.019
151
+ in front of a computer and again this is,364.919,3.72
152
+ not always true key example being,366.419,4.981
153
+ medical professionals who many of whom,368.639,5.221
154
+ interact with people all day every day,371.4,4.139
155
+ and it requires a tremendous amount of,373.86,5.52
156
+ training excuse me ditto for uh for uh,375.539,6.061
157
+ trial lawyers right trial lawyers have,379.38,3.9
158
+ to do a lot of office work but they also,381.6,3.9
159
+ have to go to trial to go to court,383.28,5.4
160
+ before judges and so on magistrates,385.5,5.4
161
+ so one thing that I need to point out,388.68,3.959
162
+ though is that we have transitioned,390.9,4.079
163
+ largely from a unskilled labor and,392.639,3.9
164
+ skilled labor economy to a,394.979,3.06
165
+ knowledge-based economy or a,396.539,3.6
166
+ services-based economy,398.039,4.741
167
+ so this is one of my favorite graphs of,400.139,4.741
168
+ all time and many people are shocked,402.78,4.56
169
+ when I tell them about this so there's a,404.88,4.74
170
+ few things to unpack here so there's a,407.34,4.859
171
+ couple of trend lines this solid green,409.62,5.46
172
+ trend line is the agricultural uh share,412.199,6.06
173
+ of total employment so basically what,415.08,7.559
174
+ has happened is that as uh as time has,418.259,8.041
175
+ progressed the number of farm jobs has,422.639,7.5
176
+ collapsed to around two percent of total,426.3,6.54
177
+ employment and it was much much much,430.139,6.0
178
+ higher this was if I'm reading this,432.84,4.979
179
+ correctly I believe it was over 30,436.139,4.741
180
+ percent just over 100 years ago so from,437.819,5.28
181
+ 30 percent of jobs were farm jobs to,440.88,4.8
182
+ around two percent and then this dotted,443.099,4.981
183
+ green axis is non-agricultural,445.68,3.66
184
+ employment,448.08,3.6
185
+ the left axis,449.34,4.02
186
+ um all right right Axis so that's this,451.68,5.1
187
+ is percentage yes and then the left axis,453.36,8.1
188
+ is over here so the total uh number of,456.78,7.44
189
+ employees that were not uh Farm,461.46,6.06
190
+ employees has gone up from around 20,464.22,4.979
191
+ million now also keep in mind that the,467.52,3.119
192
+ population was growing at the same time,469.199,4.741
193
+ but from 20 million to over 140 million,470.639,5.721
194
+ non-farm jobs and then finally,473.94,4.86
195
+ agriculture employment,476.36,5.399
196
+ um has collapsed from around,478.8,6.239
197
+ uh let's say about 10 to 12 million jobs,481.759,6.521
198
+ total to almost non-existent in terms of,485.039,6.421
199
+ total number of employees so this shows,488.28,6.6
200
+ how just a single sector farming has,491.46,5.6
201
+ completely been changed over the years,494.88,4.499
202
+ largely just due to Industrial,497.06,6.12
203
+ Automation through tractors combines and,499.379,6.841
204
+ economies of scale with mechanized,503.18,5.199
205
+ farming and this is just one sector so,506.22,5.159
206
+ what people are hoping is that,508.379,5.701
207
+ today all the service jobs that we all,511.379,5.04
208
+ hate all the all the BS jobs the desk,514.08,4.199
209
+ jobs that we hate today are going to,516.419,4.081
210
+ follow this trend line the way that,518.279,4.26
211
+ Farms have jobs have gone but then,520.5,3.419
212
+ there's going to be entirely new,522.539,3.121
213
+ categories of jobs,523.919,5.04
214
+ that come up now as many of you know I'm,525.66,5.1
215
+ rather skeptical of this,528.959,3.781
216
+ um certainly it would be an interesting,530.76,4.259
217
+ future if there's entirely if there's,532.74,3.9
218
+ millions and millions or even billions,535.019,4.921
219
+ of new jobs created by AI I am skeptical,536.64,4.92
220
+ that this is going to be the outcome and,539.94,4.14
221
+ let me tell you why,541.56,4.92
222
+ knowledge work or service sector jobs,544.08,5.64
223
+ are uh rooted in what's called cognitive,546.48,7.02
224
+ labor or knowledge work so as farm jobs,549.72,6.36
225
+ have been crashing knowledge work has,553.5,5.22
226
+ been rising so the majority of work,556.08,5.4
227
+ today is knowledge work or cognitive,558.72,6.679
228
+ labor this could also be argue arguably,561.48,6.66
229
+ included emotional labor so emotional,565.399,4.961
230
+ labor is a form of cognitive labor that,568.14,3.6
231
+ is more common in nurturing and,570.36,3.24
232
+ caregiving roles,571.74,4.94
233
+ tools like chat GPT and its successors,573.6,6.419
234
+ are going to continue to invade the,576.68,6.339
235
+ domain of cognitive labor so we've,580.019,5.82
236
+ already seen some examples of chat GPT,583.019,5.101
237
+ used for tutoring used for medical,585.839,4.641
238
+ advice used for relationship advice,588.12,5.58
239
+ people have even automated companies you,590.48,6.76
240
+ know the automatic CEO thing so it is,593.7,6.0
241
+ pretty obvious to everyone by now that,597.24,5.82
242
+ these models that chat GPT gpt4 and so,599.7,6.54
243
+ on are capable of cognitive labor it,603.06,4.98
244
+ would be pretty silly to assume that,606.24,4.92
245
+ this does not continue so that leaves,608.04,6.0
246
+ physical labor skilled labor unskilled,611.16,5.4
247
+ labor and cognitive later labor but if,614.04,4.799
248
+ AI is invading cognitive labor first,616.56,5.219
249
+ what are we gonna do,618.839,6.901
250
+ we go back to manual labor do we all,621.779,6.06
251
+ pick up arts and crafts and others,625.74,4.32
252
+ semi-skilled and skilled labor,627.839,4.921
253
+ you know it's not necessarily what I,630.06,3.779
254
+ want to do,632.76,5.519
255
+ right if there is a a future state where,633.839,8.18
256
+ I'm not going to get paid by anyone but,638.279,6.421
257
+ an AI is going to come through and you,642.019,4.361
258
+ know basically take my YouTube gig from,644.7,4.02
259
+ me right like I don't want to go back to,646.38,4.68
260
+ shoveling dirt and anyways there's,648.72,3.54
261
+ machines that are better at it than,651.06,3.42
262
+ humans so why would I do that so when,652.26,3.66
263
+ you when you look at those three,654.48,3.599
264
+ categories skilled unskilled and,655.92,4.5
265
+ cognitive labor and you say okay well,658.079,4.081
266
+ machines are better stronger and faster,660.42,3.84
267
+ and cheaper at all of those than humans,662.16,4.32
268
+ and they're only getting better that,664.26,3.66
269
+ leaves the question what are we going to,666.48,4.44
270
+ do so as I was trying to figure out like,667.92,5.76
271
+ just trying to find a way to do this,670.92,5.52
272
+ it occurred to me that looking at this,673.68,5.7
273
+ from supply side or capability of AI,676.44,5.28
274
+ versus Humans might not be the right way,679.38,4.68
275
+ to look at it so there's the other way,681.72,5.4
276
+ to look at it is demand side so what,684.06,5.7
277
+ kind of jobs will people demand or want,687.12,5.159
278
+ humans to have specifically,689.76,5.639
279
+ in many cases you might want a you might,692.279,5.521
280
+ always prefer to have a human doing,695.399,4.861
281
+ something like Child Care Hospitality,697.8,5.219
282
+ sorry hospitality jobs and other,700.26,4.8
283
+ performance oriented things such as,703.019,4.081
284
+ influencers right I don't know about you,705.06,4.62
285
+ but every time I find a video that has,707.1,5.1
286
+ you know an AI face AI voice,709.68,5.279
287
+ I click off of it I don't want you know,712.2,5.1
288
+ smoke and mirror I don't want to be,714.959,4.44
289
+ lectured at by a sock puppet I want to,717.3,4.979
290
+ see a real human I want to see their uh,719.399,5.401
291
+ facial expression their intonation and I,722.279,3.841
292
+ want to develop a parasocial,724.8,2.7
293
+ relationship with the people that I,726.12,2.94
294
+ follow and so a parasocial relationship,727.5,3.899
295
+ is what most of you have with me where,729.06,5.399
296
+ you have in your mind a model of me and,731.399,5.581
297
+ like you kind of understand where I'm,734.459,5.341
298
+ coming from right uh even though I might,736.98,4.74
299
+ not know necessarily know all of you I,739.8,3.779
300
+ in fact I don't know most of you,741.72,5.4
301
+ but the uh the desire for that,743.579,5.76
302
+ parasocial relationship for that,747.12,3.779
303
+ um that that connection that human,749.339,3.841
304
+ connection is something that I suspect,750.899,4.5
305
+ that most humans are gonna want no,753.18,4.08
306
+ matter how good AI gets now that being,755.399,3.721
307
+ said there are probably going to be,757.26,3.0
308
+ people that are like you know what I,759.12,2.7
309
+ don't really care about people I you,760.26,2.699
310
+ know just give me the information just,761.82,4.38
311
+ give me the entertainment that's fine,762.959,5.761
312
+ so this leads one final question will,766.2,4.8
313
+ there be enough of those human exclusive,768.72,5.1
314
+ jobs to go around I don't think there,771.0,6.12
315
+ will be uh sure we might be able to have,773.82,4.98
316
+ some Back to Basics moments where it's,777.12,3.839
317
+ like oh hey you know maybe we can spend,778.8,3.779
318
+ more time with our families maybe we can,780.959,2.94
319
+ spend more time with child care and,782.579,3.781
320
+ education that's not enough to drive the,783.899,4.44
321
+ whole economy and it's certainly not,786.36,3.779
322
+ enough I don't think for everyone to,788.339,4.44
323
+ have a meaningful career especially if,790.139,4.32
324
+ your interests lie elsewhere that just,792.779,3.12
325
+ doesn't sound good,794.459,2.88
326
+ so,795.899,4.68
327
+ now I will introduce you to what I call,797.339,6.24
328
+ Post labor economics and I apologize for,800.579,6.541
329
+ the wall of text on this uh slide but I,803.579,5.281
330
+ figured just a list you can pause it and,807.12,3.659
331
+ read it in much greater detail if you'd,808.86,3.96
332
+ like but I'll just go uh just read the,810.779,3.961
333
+ bullet points at the high level so,812.82,4.199
334
+ automation dominance this is the idea,814.74,4.14
335
+ that Automation in the form of Robotics,817.019,4.021
336
+ Ai and other kinds of automation is,818.88,3.72
337
+ going to take over including for,821.04,3.419
338
+ cognitive labor,822.6,4.02
339
+ the second aspect of post-labor,824.459,4.261
340
+ Economics is the decreased economic,826.62,5.1
341
+ value of human labor basically humans,828.72,4.679
342
+ can't compete on an economic scale to,831.72,3.419
343
+ tractors why do you expect that humans,833.399,3.12
344
+ are going to get be able to compete on,835.139,3.841
345
+ an economic scale to AI as its,836.519,3.961
346
+ intelligence ramps up,838.98,4.56
347
+ number three another criteria or uh,840.48,4.74
348
+ characteristic of post-labor Economics,843.54,3.359
349
+ is that we will probably see,845.22,3.66
350
+ redistributive policies so,846.899,4.38
351
+ redistribution is not necessarily a,848.88,3.959
352
+ collective ownership I'm not advocating,851.279,3.601
353
+ for socialism basically all I'm,852.839,4.021
354
+ advocating for is some form of universal,854.88,4.5
355
+ basic income or reverse income tax or,856.86,3.779
356
+ that kind of thing,859.38,4.139
357
+ or negative income tax sorry ownership,860.639,5.88
358
+ shifts so this is where this is the,863.519,4.56
359
+ closest thing to Socialism or Marxism,866.519,3.601
360
+ that I will ever talk about,868.079,4.38
361
+ um because I I do not believe in central,870.12,4.56
362
+ management of the economy I don't think,872.459,4.021
363
+ that it's a good idea,874.68,4.02
364
+ um I do believe in kind of the wisdom of,876.48,5.4
365
+ of Market forces but what I do,878.7,5.939
366
+ anticipate is that the ownership class,881.88,4.8
367
+ might shift and we might shift more,884.639,4.621
368
+ towards decentralized ownership models,886.68,4.32
369
+ or Collective ownership models such as,889.26,3.78
370
+ co-ops and this is not something that I,891.0,3.42
371
+ invented these are things that exist,893.04,5.159
372
+ today but with the aid of AI it might be,894.42,6.06
373
+ easier for ordinary people to band,898.199,4.82
374
+ together to collectively buy,900.48,4.62
375
+ resources property and other capital,903.019,4.421
376
+ goods that allow them to be to,905.1,4.76
377
+ participate in the means of production,907.44,4.56
378
+ now I'm not going to say that this is,909.86,3.339
379
+ going to totally replace all,912.0,4.38
380
+ corporations but if we can stick The,913.199,4.44
381
+ Landing with Technologies like,916.38,3.18
382
+ blockchain and decentralized autonomous,917.639,3.0
383
+ organizations,919.56,3.92
384
+ then we can have expert you know AI CEOs,920.639,6.0
385
+ managing our resources for us another,923.48,6.88
386
+ component of post labor economics I,926.639,6.06
387
+ suspect will be price deflation and so,930.36,4.919
388
+ what I mean by this is that,932.699,4.981
389
+ as AI gets better at producing more,935.279,4.68
390
+ goods and services the marginal cost of,937.68,3.839
391
+ those goods and services is going to,939.959,3.0
392
+ collapse and it's not all goods and,941.519,3.541
393
+ services some things are going to remain,942.959,4.141
394
+ expensive or at least more expensive,945.06,3.719
395
+ than others but other things are going,947.1,3.06
396
+ to get very very cheap and I'll go into,948.779,4.081
397
+ some details in just a moment we're also,950.16,4.799
398
+ going to need new economic indicators so,952.86,5.219
399
+ what I mean by this is that GDP sorry,954.959,5.221
400
+ GDP and employment rates I tried to say,958.079,4.041
401
+ both of those at the same time,960.18,3.959
402
+ unemployment rates are not going to be,962.12,4.12
403
+ quite as meaningful in the future as,964.139,4.861
404
+ they are today right now total,966.24,4.44
405
+ employment and unemployment rates are,969.0,3.06
406
+ really important indicators for how well,970.68,3.719
407
+ the economy is doing but in a post-labor,972.06,4.92
408
+ economy employment rate won't matter as,974.399,5.101
409
+ much so we might need other other,976.98,4.56
410
+ metrics in order to measure how well the,979.5,4.68
411
+ economy is doing there's probably also,981.54,3.9
412
+ going to be changes in consumption,984.18,2.339
413
+ patterns,985.44,3.0
414
+ so for instance we're going to have more,986.519,4.081
415
+ Leisure Time and less requirement to,988.44,4.199
416
+ work and so that means that we'll,990.6,5.94
417
+ probably change where we live how we eat,992.639,6.301
418
+ um access to other services like,996.54,5.099
419
+ healthcare will probably decline because,998.94,4.759
420
+ we'll be living healthier lives I hope,1001.639,5.88
421
+ uh and so on and so forth uh one of the,1003.699,5.44
422
+ toughest nuts to crack is actually going,1007.519,3.841
423
+ to be item number eight here which is,1009.139,4.021
424
+ reshaping our identity and self-worth,1011.36,3.839
425
+ and we have actually a few slides,1013.16,4.26
426
+ dedicated to this coming right up and,1015.199,4.621
427
+ then finally number nine is regulatory,1017.42,5.58
428
+ changes that will basically have to be,1019.82,6.78
429
+ addressed as we transition from a human,1023.0,5.76
430
+ labor economy to a post-labor economy,1026.6,4.62
431
+ okay so let's unpack these,1028.76,4.86
432
+ I mentioned the ownership of production,1031.22,5.699
433
+ so this basic question is who owns the,1033.62,5.699
434
+ machines who owns the the means of,1036.919,5.64
435
+ production so if things continue the way,1039.319,5.401
436
+ that they are we run the risk of,1042.559,4.02
437
+ continued trends of capital,1044.72,4.38
438
+ concentration and or regulatory capture,1046.579,3.961
439
+ so regulatory capture is what everyone,1049.1,5.04
440
+ is afraid of with companies calling for,1050.54,6.06
441
+ regulation of AI because it's like okay,1054.14,5.1
442
+ well if only a few players are allowed,1056.6,5.699
443
+ to participate then by virtue of,1059.24,5.52
444
+ everyone else getting regulated out of,1062.299,4.321
445
+ existence only the top players are,1064.76,3.779
446
+ allowed to play that would probably be,1066.62,5.64
447
+ problematic for the rest of us now as I,1068.539,5.401
448
+ mentioned I'm not going to advocate for,1072.26,3.6
449
+ Marxism or Socialism or anything like,1073.94,3.0
450
+ that I'm not saying that we should,1075.86,2.34
451
+ collectively seize the means of,1076.94,3.479
452
+ production uh the reason being that,1078.2,4.08
453
+ market forces still work in centralized,1080.419,4.14
454
+ management uh pretty much never works at,1082.28,6.36
455
+ least not a full-scale national levels,1084.559,6.48
456
+ uh we will need more sophisticated,1088.64,7.02
457
+ models of uh ownership than exists today,1091.039,6.661
458
+ so for instance,1095.66,4.259
459
+ um you know as I mentioned uh co-ops,1097.7,3.479
460
+ Collective ownerships I've got a few,1099.919,3.541
461
+ examples in the next slide I believe but,1101.179,4.5
462
+ otherwise if corporate payrolls shrink,1103.46,5.16
463
+ and many of us lose jobs how then are we,1105.679,5.041
464
+ going to redistribute uh the the,1108.62,4.62
465
+ benefits obtained by the Technologies,1110.72,5.04
466
+ who's going to reap the rewards,1113.24,6.299
467
+ so one component of that is robust,1115.76,5.12
468
+ redistribution,1119.539,4.561
469
+ so whether or not we change ownership,1120.88,5.5
470
+ because obviously many people will still,1124.1,4.62
471
+ kind of have the idea of the value of,1126.38,3.96
472
+ private property and that sort of thing,1128.72,3.3
473
+ and certainly I think that private,1130.34,3.6
474
+ property is going to exist that being,1132.02,3.36
475
+ said not everyone is going to be a,1133.94,3.18
476
+ landowner right not everyone is going to,1135.38,4.5
477
+ own a robot Factory or or anything like,1137.12,5.7
478
+ that so we're going to need to have some,1139.88,5.82
479
+ kind of robust redistribution policy,1142.82,4.92
480
+ so that could come in the form of,1145.7,3.599
481
+ universal basic income or more,1147.74,4.38
482
+ sophisticated models and I always liken,1149.299,5.941
483
+ it to a hydrological cycle so money like,1152.12,5.34
484
+ water tends to flow towards some kind of,1155.24,5.58
485
+ accumulator now in our world those,1157.46,5.64
486
+ accumulators tend to be Federal,1160.82,4.62
487
+ governments and the capitalist class in,1163.1,5.64
488
+ form of shareholders and corporations so,1165.44,5.76
489
+ money tends to flow in those two polar,1168.74,4.86
490
+ directions and so then redistribution,1171.2,5.339
491
+ comes in the form of uh you know,1173.6,4.86
492
+ government handouts government subsidies,1176.539,4.321
493
+ that sort of thing and taxes right some,1178.46,3.719
494
+ being skimmed off the top of,1180.86,3.48
495
+ corporations in order to go to the,1182.179,3.961
496
+ government and then to be redistributed,1184.34,4.92
497
+ so the idea here is then you need a,1186.14,6.539
498
+ policy that uh basically makes it rain,1189.26,5.82
499
+ right you want it to rain a certain,1192.679,4.38
500
+ amount in every region and you want it,1195.08,4.74
501
+ to rain fairly you don't want too much,1197.059,4.381
502
+ rain because that's inflation and that's,1199.82,2.94
503
+ bad and you don't want too little rain,1201.44,3.0
504
+ because that's deflation and that's also,1202.76,4.26
505
+ bad so the idea is that these future,1204.44,5.099
506
+ redistributive policies need to,1207.02,5.36
507
+ distribute the the money like the water,1209.539,6.901
508
+ evenly fairly and uh in a controlled,1212.38,6.82
509
+ policy so this is uh not exactly your,1216.44,5.52
510
+ grandpa's trickle-down economics Theory,1219.2,4.8
511
+ uh I mentioned Collective ownership and,1221.96,3.78
512
+ there are a few examples of collective,1224.0,3.48
513
+ ownership out there now granted none of,1225.74,3.48
514
+ these are global scale but we've got a,1227.48,3.24
515
+ long time before we need to worry about,1229.22,4.079
516
+ global scale redistribution some of them,1230.72,5.04
517
+ are national scale uh which is a good,1233.299,3.721
518
+ thing but of course,1235.76,3.84
519
+ um Norway is not as big as America,1237.02,5.94
520
+ uh so there's a few examples so one is,1239.6,5.28
521
+ the Alaska Permanent Fund which is,1242.96,3.719
522
+ basically that uh pretty much every,1244.88,5.159
523
+ every Alaskan gets a annual check for,1246.679,5.041
524
+ Collective ownership of the oil reserves,1250.039,2.701
525
+ in Alaska,1251.72,3.06
526
+ the Norwegian Sovereign wealth fund,1252.74,3.66
527
+ pretty much the same thing but for all,1254.78,4.5
528
+ citizens of Norway and it is a trust,1256.4,4.26
529
+ fund that is used to fund public,1259.28,4.86
530
+ services and it is funded by their oil,1260.66,6.12
531
+ reserves the mon Dragon Corporation is,1264.14,4.5
532
+ an owner-operated Corporation in Spain,1266.78,4.62
533
+ and then the Green Bay Packers are uh,1268.64,5.58
534
+ NFL team that is unique among the NFL,1271.4,5.82
535
+ that is collectively owned by 360,1274.22,4.56
536
+ 000 shareholders,1277.22,4.26
537
+ so on the topic of collective ownership,1278.78,4.98
538
+ and redistribution Sam Altman does want,1281.48,5.699
539
+ to do something uh in in line of this,1283.76,6.0
540
+ basically saying if openai owns the,1287.179,6.36
541
+ means of production AKA gbt4 5 6 and 7,1289.76,5.76
542
+ and whatever other Downstream models,1293.539,4.62
543
+ they come up with he has explicitly said,1295.52,4.5
544
+ that he wants to kind of create a trust,1298.159,4.321
545
+ fund of sorts that is then used to,1300.02,4.86
546
+ distribute that uh that surplus of,1302.48,5.4
547
+ wealth and this is part of one of his,1304.88,6.12
548
+ ideas which is World coin now what I,1307.88,5.52
549
+ will say is that I'm not sure that this,1311.0,4.32
550
+ entire project should be piloted and,1313.4,5.279
551
+ mediated by a Silicon Valley CEO Silicon,1315.32,5.219
552
+ Valley CEOs don't exactly have a good,1318.679,5.101
553
+ track record in terms of being fair and,1320.539,5.041
554
+ not allowing power to corrupt them over,1323.78,4.259
555
+ time now this is not a personal,1325.58,4.5
556
+ indictment of Sam Altman I very much,1328.039,4.38
557
+ often agree with what he says but that,1330.08,4.62
558
+ being said he is in a position of a lot,1332.419,4.561
559
+ of privilege and power and so therefore,1334.7,3.9
560
+ should be scrutinized there should we,1336.98,3.6
561
+ should should engage with a healthy,1338.6,3.84
562
+ level of skepticism and I have a feeling,1340.58,3.12
563
+ that he would invite that healthy,1342.44,4.14
564
+ skepticism as well but again I don't,1343.7,5.099
565
+ disagree with the sentiment were I in,1346.58,4.14
566
+ his place I would probably be trying to,1348.799,4.021
567
+ do the same exact thing,1350.72,4.02
568
+ um but again actions speak louder than,1352.82,4.62
569
+ words so another thing is that,1354.74,4.38
570
+ Collective ownership doesn't necessarily,1357.44,4.44
571
+ have to happen on a national scale or a,1359.12,5.939
572
+ state scale it can happen on uh local,1361.88,5.22
573
+ scales and does in the form of land,1365.059,4.141
574
+ trusts so there are plenty of examples,1367.1,3.78
575
+ of collective ownership that exists,1369.2,2.88
576
+ today,1370.88,6.44
577
+ now one thing that is uh kind of the,1372.08,9.06
578
+ primary let's say primary complaint that,1377.32,5.88
579
+ I get when I talk about redistributive,1381.14,4.5
580
+ policies such as universal basic income,1383.2,4.92
581
+ which is what about inflation,1385.64,7.26
582
+ so there is some some Merit to this idea,1388.12,7.6
583
+ so redistribution such as universal,1392.9,6.0
584
+ basic income can actually be a force for,1395.72,6.12
585
+ inflation we did see a small but not,1398.9,5.22
586
+ negligible effect from the stimulus,1401.84,5.52
587
+ checks here in America that caused some,1404.12,4.82
588
+ of the inflation now I will say that,1407.36,3.72
589
+ aggregate supply and aggregate demand,1408.94,5.32
590
+ and other supply chain issues are far,1411.08,4.68
591
+ larger effects of the current,1414.26,3.659
592
+ inflationary uh Paradigm that we're,1415.76,4.02
593
+ seeing that being said the stimulus,1417.919,4.14
594
+ checks did cause some inflation because,1419.78,5.519
595
+ they uh created higher aggregate demand,1422.059,4.98
596
+ which is basically that consumers,1425.299,3.24
597
+ overall have more money to spend,1427.039,4.14
598
+ therefore prices go up another thing,1428.539,4.981
599
+ that can drive inflation is inelastic,1431.179,5.701
600
+ supply so as Global wealth goes up due,1433.52,6.659
601
+ to AI as more productivity goes up and,1436.88,6.179
602
+ demand goes up broadly there are going,1440.179,4.801
603
+ to be goods and services and other,1443.059,4.381
604
+ supplies that do not scale,1444.98,4.8
605
+ so for instance one of the most limited,1447.44,4.38
606
+ resources on the planet is Rare Minerals,1449.78,4.86
607
+ like lithium and Cobalt no amount of AI,1451.82,4.44
608
+ is going to make there be more Ai and,1454.64,3.539
609
+ Cobalt unless of course it can dig,1456.26,4.62
610
+ deeper into the Earth's crust or go to,1458.179,4.921
611
+ saddle asteroids and mine them there,1460.88,4.26
612
+ which is entirely possible I did mention,1463.1,4.319
613
+ that in a previous video as one of the,1465.14,4.2
614
+ possible solutions to Mineral scarcity,1467.419,3.961
615
+ that being said there's only ever going,1469.34,3.9
616
+ to be so much desirable beachfront,1471.38,4.08
617
+ property in Monaco right,1473.24,4.08
618
+ um so there's there's going to be some,1475.46,3.719
619
+ kind of scarcity that we cannot overcome,1477.32,4.14
620
+ no matter how much cognitive Surplus,1479.179,5.541
621
+ that we have now all that being said,1481.46,5.699
622
+ there will be some inflationary,1484.72,4.48
623
+ pressures that we can't really get rid,1487.159,4.981
624
+ of but I think that in the long run they,1489.2,5.52
625
+ are going to be offset by and large by,1492.14,4.32
626
+ some really profound and strong,1494.72,3.6
627
+ deflationary pressures,1496.46,4.02
628
+ so for instance a deflationary pressure,1498.32,5.4
629
+ is something that lowers prices so the,1500.48,5.699
630
+ job loss that I am anticipating from AI,1503.72,5.1
631
+ is going to reduce consumer demand until,1506.179,5.341
632
+ that is somehow fixed or replaced,1508.82,6.9
633
+ because with job losses people are going,1511.52,6.06
634
+ to hoard their money A little bit more,1515.72,4.8
635
+ we saw this happen during the pandemic,1517.58,5.94
636
+ for instance where people spent a lot,1520.52,5.1
637
+ less money because it was a time of,1523.52,5.279
638
+ uncertainty if you lose your job as many,1525.62,4.86
639
+ people in some of the communities that,1528.799,3.961
640
+ I'm a part of have been laid off as part,1530.48,4.199
641
+ of the tech layoffs they don't know if,1532.76,3.24
642
+ or when they're ever going to get a job,1534.679,3.561
643
+ again,1536.0,2.24
644
+ like that's a pretty profound thing so,1538.4,4.379
645
+ job loss results in deflationary,1540.44,3.78
646
+ pressure because people are spending,1542.779,3.661
647
+ money less and driving demand down in,1544.22,3.54
648
+ fact one of the things that my wife and,1546.44,2.52
649
+ I are doing is we're going to be,1547.76,3.539
650
+ downsizing right rather than having a,1548.96,3.599
651
+ house payment we're going to move to a,1551.299,4.141
652
+ smaller house that we can fully pay off,1552.559,4.561
653
+ Market saturation is another,1555.44,3.9
654
+ deflationary pressure so for instance I,1557.12,3.72
655
+ did mention earlier that some goods and,1559.34,3.839
656
+ services will continue to go down in,1560.84,5.339
657
+ price one personal example that I have,1563.179,5.581
658
+ is that the first time I had my novel,1566.179,5.1
659
+ professionally edited I spent Seventeen,1568.76,4.5
660
+ hundred dollars to have a world-class,1571.279,4.081
661
+ professional editor take a look at my,1573.26,3.36
662
+ novel,1575.36,4.86
663
+ after I got that feedback uh from her I,1576.62,6.36
664
+ then not long after that I got access to,1580.22,5.64
665
+ gpt4 which has a much larger context,1582.98,5.16
666
+ window and I was able to uh pretty much,1585.86,4.98
667
+ get developmental feedback or um or line,1588.14,6.0
668
+ editing feedback on the entire thing for,1590.84,9.06
669
+ less than 17 twice so that is a 100x,1594.14,9.779
670
+ drop in price and it's really difficult,1599.9,6.06
671
+ for people to wrap their heads around,1603.919,4.5
672
+ the possibility that many goods and,1605.96,4.86
673
+ services are going to be a thousand X,1608.419,5.281
674
+ cheaper or 10 000 X cheaper in the,1610.82,6.12
675
+ coming years so this downward pressure,1613.7,7.2
676
+ due to the the abundance of AI is going,1616.94,5.46
677
+ to be something that is kind of like a,1620.9,3.72
678
+ default raise for everyone if it works,1622.4,4.62
679
+ out that way so in the case of medicine,1624.62,4.559
680
+ or the total cost of Health Care in,1627.02,5.539
681
+ America is 4.3 trillion dollars per year,1629.179,5.761
682
+ imagine if,1632.559,5.62
683
+ within a few years AI is able to reduce,1634.94,5.219
684
+ the total cost of Health Care in America,1638.179,4.38
685
+ by a factor of a hundred,1640.159,4.321
686
+ I know that this sounds completely,1642.559,4.021
687
+ ludicrous and it probably will take a,1644.48,3.299
688
+ little bit longer than a few years,1646.58,2.82
689
+ because the medical establishment is,1647.779,5.041
690
+ very slow very onerous and does not is,1649.4,6.36
691
+ very resistant to change but imagine if,1652.82,5.76
692
+ your health care costs whatever they,1655.76,4.68
693
+ were last year if you spend you know a,1658.58,3.18
694
+ few hundred dollars on a couple,1660.44,2.88
695
+ medications and one trip to the doctor,1661.76,3.48
696
+ or if you have chronic conditions that,1663.32,3.479
697
+ require a lot of medications and a lot,1665.24,3.419
698
+ of tests and you spend you know five,1666.799,4.081
699
+ thousand dollars imagine if you only had,1668.659,4.38
700
+ to spend fifty dollars last year instead,1670.88,4.74
701
+ of five thousand and that's not with uh,1673.039,5.76
702
+ with you know socialist policies or,1675.62,4.799
703
+ um or single-payer systems where the,1678.799,3.12
704
+ government foots the bill I'm talking,1680.419,3.061
705
+ about the actual cost of Health Care,1681.919,4.86
706
+ could collapse that much in the long run,1683.48,5.939
707
+ due to Ai and so that is a tremendous,1686.779,4.321
708
+ deflationary pressure so basically,1689.419,3.961
709
+ deflation means that your dollar goes,1691.1,5.28
710
+ much farther another thing to consider,1693.38,5.88
711
+ is that in many cases there are elastic,1696.38,5.399
712
+ supplies so imagine the knock-on effects,1699.26,4.039
713
+ of AI,1701.779,5.221
714
+ enhancing everything from Supply chains,1703.299,6.101
715
+ at every level reducing the need for,1707.0,4.679
716
+ middlemen reducing the need for humans,1709.4,3.779
717
+ and human labor which is really,1711.679,3.36
718
+ expensive so all the goods and services,1713.179,4.201
719
+ that you get even if an AI is not,1715.039,5.341
720
+ directly used in creating that final,1717.38,5.279
721
+ good or service it's still going to help,1720.38,4.22
722
+ the entire process,1722.659,5.88
723
+ which means that the entire economy is,1724.6,5.559
724
+ going to be a lot more elastic which,1728.539,4.74
725
+ will also drive down prices,1730.159,6.12
726
+ now we get to the hardest part of all of,1733.279,5.041
727
+ this the rest I think is going to happen,1736.279,4.681
728
+ no matter what we do right there is just,1738.32,5.16
729
+ so much economic incentive to drive down,1740.96,4.62
730
+ prices because that's what capitalism,1743.48,4.439
731
+ does right it seeks efficiency when it's,1745.58,4.079
732
+ working well it doesn't always work well,1747.919,3.901
733
+ so I'll throw I'll throw that caveat out,1749.659,5.041
734
+ now that being said the inevitable,1751.82,5.28
735
+ conclusion of all this seems to be that,1754.7,4.5
736
+ we are going to arrive at a situation,1757.1,5.579
737
+ where most of us are going to be looking,1759.2,5.459
738
+ in the rear view mirror and say bye job,1762.679,4.38
739
+ right like our conventional jobs are,1764.659,4.801
740
+ going to go the way of the dinosaurs and,1767.059,4.081
741
+ so one of the most common sentiments,1769.46,3.24
742
+ that I get and it's always worded,1771.14,4.98
743
+ slightly different but the their,1772.7,5.16
744
+ permutations of this thing which is I,1776.12,3.12
745
+ would rather die than live on government,1777.86,2.58
746
+ handouts,1779.24,4.439
747
+ this happens more often than not there,1780.44,4.739
748
+ are numerous reasons for this feeling,1783.679,3.961
749
+ and it is important to consider because,1785.179,5.521
750
+ what else is the point of being alive,1787.64,6.36
751
+ excuse me so there are cultural reasons,1790.7,7.099
752
+ ethical reasons religion spirituality,1794.0,7.08
753
+ and even familial history identity,1797.799,4.901
754
+ gender Norms,1801.08,3.959
755
+ um all kinds of stuff will push people,1802.7,6.839
756
+ to identify with their job or to really,1805.039,7.76
757
+ value their self-sufficiency right,1809.539,5.541
758
+ self-sufficiency rugged individualism,1812.799,5.561
759
+ self-reliance that sort of thing these,1815.08,4.9
760
+ beliefs come from numerous places,1818.36,3.12
761
+ whether it's you know the culture,1819.98,3.84
762
+ particularly here in America in many,1821.48,3.96
763
+ families like you're not considered a,1823.82,3.839
764
+ real man unless you're a provider right,1825.44,4.739
765
+ for particularly for men you might,1827.659,4.681
766
+ expect yourself and be expected to be,1830.179,4.281
767
+ the primary Breadwinner,1832.34,5.16
768
+ careers also do a lot for our sense of,1834.46,5.319
769
+ purpose our sense of excellence and,1837.5,4.5
770
+ confidence a career is a good source of,1839.779,3.78
771
+ challenge it's a good way to feel good,1842.0,2.76
772
+ about yourself like you've done,1843.559,2.161
773
+ something,1844.76,4.139
774
+ and then for even people that are not,1845.72,5.76
775
+ men Independence is often predicated on,1848.899,4.201
776
+ the ability to make ends meet and so,1851.48,4.199
777
+ what I mean by this is that if you need,1853.1,5.22
778
+ to get away from your family or a toxic,1855.679,4.561
779
+ friend group or whatever if you need to,1858.32,3.359
780
+ stay out of prison because you need to,1860.24,3.96
781
+ stay away you know from the street you,1861.679,4.74
782
+ might need that good job and so if you,1864.2,3.599
783
+ don't have that good job you might be,1866.419,4.38
784
+ forced to back into a bad situation so,1867.799,5.1
785
+ there's a lot of reasons that people are,1870.799,4.801
786
+ afraid of not having their job,1872.899,5.821
787
+ so what I've been able to identify is,1875.6,4.62
788
+ that after talking with some of these,1878.72,3.0
789
+ people and and thinking through it is,1880.22,5.1
790
+ there's two primary threads here one is,1881.72,5.76
791
+ what if I can't take care of myself and,1885.32,3.599
792
+ the people that I care about that's,1887.48,3.48
793
+ really the core fear at least one of,1888.919,6.181
794
+ them another one is another core fear is,1890.96,6.48
795
+ what if my sense of agency and autonomy,1895.1,5.16
796
+ is taken from me what if I am just,1897.44,4.8
797
+ subservient to the whims of the,1900.26,4.44
798
+ government right,1902.24,6.24
799
+ so one of the potential solutions to,1904.7,6.839
800
+ this is a concept from ancient Greece,1908.48,5.52
801
+ called erete which is Excellence or the,1911.539,3.841
802
+ pursuit of Excellence,1914.0,4.02
803
+ so in this case,1915.38,4.98
804
+ the ability to feel competent about,1918.02,5.1
805
+ something in order to feel a sense of,1920.36,6.84
806
+ Mastery and challenge this is a um,1923.12,7.86
807
+ this is a a social phenomenon,1927.2,6.599
808
+ um that was based on social reward and,1930.98,6.179
809
+ social incentive even if there was no,1933.799,5.76
810
+ Financial reward so what I mean by this,1937.159,6.061
811
+ is that uh particularly in uh the elite,1939.559,6.36
812
+ classes like aristocracy and capitalist,1943.22,5.339
813
+ class and owner class the the individual,1945.919,4.321
814
+ behaviors the individual sense of,1948.559,3.48
815
+ competence and achievement didn't,1950.24,4.08
816
+ necessarily come from a career it came,1952.039,3.901
817
+ from other achievements whether they,1954.32,3.239
818
+ were academic achievements participating,1955.94,4.619
819
+ in public life having a good family so,1957.559,4.98
820
+ on and so forth or even independent,1960.559,3.84
821
+ competitions right playing Polo and,1962.539,3.601
822
+ Yacht racing and all the other stuff,1964.399,3.961
823
+ that rich people do for fun and for,1966.14,4.08
824
+ challenge you know they do martial arts,1968.36,2.939
825
+ they,1970.22,2.699
826
+ um they go on adventures and so on and,1971.299,3.961
827
+ so forth the acquisition of status,1972.919,5.461
828
+ symbols is part of that sense of,1975.26,5.22
829
+ Excellence but there are plenty of other,1978.38,5.94
830
+ ways to achieve excellence so uh other,1980.48,5.939
831
+ aspects of pursuing the pursuit of,1984.32,4.02
832
+ Excellence include that Mastery that,1986.419,4.921
833
+ social recognition right in many cases,1988.34,6.66
834
+ it's a matter of achieving that um that,1991.34,5.4
835
+ status in the eyes of the people that,1995.0,3.72
836
+ you care about for instance going back,1996.74,4.26
837
+ to that idea of being a breadwinner that,1998.72,4.86
838
+ head of household recognition the,2001.0,4.919
839
+ recognition that you are a good man who,2003.58,4.14
840
+ takes care of his family or that you're,2005.919,3.301
841
+ a good mother who takes care of his,2007.72,3.179
842
+ family or you know whatever it happens,2009.22,6.24
843
+ to be there are other ways to Signal,2010.899,7.441
844
+ tribal belonging for instance think,2015.46,4.439
845
+ about all the guys that go to you know,2018.34,3.839
846
+ watch the game together at the bar that,2019.899,3.841
847
+ is something that gives them a sense of,2022.179,4.021
848
+ belonging and even a sense of Excellence,2023.74,5.4
849
+ if your team wins you feel uh like you,2026.2,5.099
850
+ have benefited from that confidence,2029.14,4.8
851
+ and all of this is possible without a,2031.299,4.74
852
+ conventional career now that being said,2033.94,3.959
853
+ I will say that it does take time to,2036.039,3.781
854
+ adapt I know this personally because I,2037.899,4.02
855
+ left my conventional career just earlier,2039.82,3.839
856
+ this year and I kind of floundered,2041.919,4.321
857
+ around for a while it was weird right,2043.659,4.621
858
+ and I still struggled with finding okay,2046.24,4.32
859
+ how is it that I can feel productive how,2048.28,4.379
860
+ is it that I can feel meaningful and,2050.56,4.26
861
+ valuable and so those metrics change,2052.659,4.02
862
+ right now it's a matter of how many,2054.82,4.339
863
+ views my videos get now it's a matter of,2056.679,4.621
864
+ what we talk about when I go to the,2059.159,3.7
865
+ meetups that I host and that sort of,2061.3,3.24
866
+ thing,2062.859,3.3
867
+ um now that being said I will say that,2064.54,3.78
868
+ without a conventional career,2066.159,4.68
869
+ uh finding something to be proud of,2068.32,6.0
870
+ Mastery challenged all of that uh still,2070.839,6.421
871
+ exists and it's still a need too,2074.32,6.359
872
+ one example is I picked up a Guitar so,2077.26,5.159
873
+ when I had my camera moved you probably,2080.679,2.881
874
+ saw that I had a guitar in the,2082.419,2.7
875
+ background that is a very fancy nice,2083.56,2.88
876
+ guitar that I have not yet learned to,2085.119,2.641
877
+ use that A friend gave to me many years,2086.44,3.36
878
+ ago I got a very simple guitar that has,2087.76,4.8
879
+ only three strings to start learning on,2089.8,5.819
880
+ um but my point is is that you know one,2092.56,4.98
881
+ of my dreams for myself is that I will,2095.619,4.441
882
+ one day learn how to play guitar and I,2097.54,4.02
883
+ can sit around the campfire and play,2100.06,3.6
884
+ guitar and sing with my friends and that,2101.56,3.42
885
+ is going to be something that I can,2103.66,3.0
886
+ derive a sense of Excellence or a sense,2104.98,3.48
887
+ of Mastery from might never get there,2106.66,3.24
888
+ because I am,2108.46,6.119
889
+ both tone deaf and I have awful timing,2109.9,8.16
890
+ so you know uh anyways I wanted to close,2114.579,5.52
891
+ this with physical fitness is one of the,2118.06,3.72
892
+ most familiar models that people have,2120.099,4.441
893
+ with a pursuing Excellence we all know a,2121.78,4.92
894
+ bunch of Jim Bros and Gym Rats who,2124.54,4.86
895
+ really Bank a lot of their pride and,2126.7,5.399
896
+ their ego on looking good and feeling,2129.4,4.98
897
+ good and being fit and looking sexy,2132.099,4.441
898
+ right that is a model that everyone has,2134.38,4.199
899
+ a lot of people do this and it's not for,2136.54,4.14
900
+ financial gain it is purely for the,2138.579,4.26
901
+ pursuit of excellence and so you take,2140.68,4.2
902
+ that gym model and there's all kinds of,2142.839,3.901
903
+ other stuff you can do with that a lot,2144.88,3.36
904
+ of my friends are Gamers and they and,2146.74,3.119
905
+ some of them even game competitively,2148.24,4.5
906
+ same exact need being met is you get,2149.859,4.74
907
+ that challenge you get the reward of,2152.74,2.94
908
+ winning,2154.599,2.941
909
+ or otherwise getting recognition for,2155.68,3.36
910
+ Your Excellence,2157.54,3.66
911
+ now the other part and this is actually,2159.04,4.26
912
+ a little bit harder to address is,2161.2,4.86
913
+ autonomy self-determination,2163.3,7.319
914
+ losing your autonomy is a major cause of,2166.06,7.559
915
+ burnout which is true for me you can,2170.619,5.48
916
+ check out a video on my other channel,2173.619,4.881
917
+ talking about burnout,2176.099,5.081
918
+ it's also a cause of rebellion and,2178.5,4.54
919
+ despair so in many cases around the,2181.18,4.2
920
+ world win Rebellion has happened it is,2183.04,4.92
921
+ because the citizenry lost their sense,2185.38,5.82
922
+ of autonomy either due to oppression or,2187.96,4.86
923
+ just economic collapse and they said,2191.2,3.12
924
+ okay we're not really happy with this,2192.82,3.96
925
+ we're going to take the power back,2194.32,4.74
926
+ so this is a legitimate fear and let me,2196.78,4.2
927
+ underscore why,2199.06,4.5
928
+ if the jobs go away which I predict they,2200.98,5.4
929
+ will then your money goes away and,2203.56,4.98
930
+ particularly in America your personal,2206.38,5.16
931
+ autonomy is directly tied to your wallet,2208.54,6.42
932
+ your financial power is this is and this,2211.54,4.92
933
+ is actually an explicit policy of,2214.96,4.32
934
+ neoliberal societies is it is it the,2216.46,4.74
935
+ freedom in the neoliberal society is,2219.28,3.839
936
+ freedom to spend money however you,2221.2,5.879
937
+ choose but this has the the uh the dark,2223.119,5.581
938
+ side of that is that if you don't have,2227.079,3.301
939
+ money you're not free which everyone,2228.7,3.899
940
+ knows that in America right this is,2230.38,4.38
941
+ something that uh people have said like,2232.599,4.26
942
+ oh you know you're only as free as your,2234.76,4.319
943
+ dollar right so this is not a new,2236.859,4.201
944
+ phenomenon and this is why people are,2239.079,5.04
945
+ afraid of AI ultimately taking their,2241.06,6.24
946
+ jobs at least one of the reasons,2244.119,4.401
947
+ um,2247.3,5.52
948
+ this is a very powerful incentive and,2248.52,5.98
949
+ I've actually had conversations over,2252.82,3.96
950
+ many many years particularly with,2254.5,3.96
951
+ conservatives that they say that this is,2256.78,4.079
952
+ actually a very deliberate policy in,2258.46,4.56
953
+ order to motivate people to work harder,2260.859,4.561
954
+ and the idea is that the fear of not,2263.02,4.14
955
+ having money and the fear of losing your,2265.42,4.14
956
+ freedom is a powerful motivating factor,2267.16,4.32
957
+ and of course this is the de facto,2269.56,5.82
958
+ policy of America for several decades,2271.48,6.24
959
+ um and it's taken even further because,2275.38,4.86
960
+ part of that fear part of the part of,2277.72,5.16
961
+ the motivating people away from poverty,2280.24,5.339
962
+ is that poverty is something to be,2282.88,4.52
963
+ ashamed of particularly in America,2285.579,4.681
964
+ poverty or being poor is seen as a moral,2287.4,5.08
965
+ failing or even a sin that if you're,2290.26,4.319
966
+ poor not only do you deserve it but it's,2292.48,4.46
967
+ your fault because you're a bad person,2294.579,5.581
968
+ and in this case the the more money you,2296.94,4.96
969
+ have the more free you are but also the,2300.16,3.54
970
+ more virtuous or righteous you are and,2301.9,4.199
971
+ this goes back to our Protestant and,2303.7,5.879
972
+ Puritan Roots so personal agency or,2306.099,5.221
973
+ self-determination or autonomy is,2309.579,4.141
974
+ inextricably tied to your financial,2311.32,4.88
975
+ power this is a very problematic,2313.72,4.859
976
+ mentality and I'm not saying that like,2316.2,4.84
977
+ if you feel this way it's it's not your,2318.579,5.101
978
+ fault I'm saying that like the fact that,2321.04,5.22
979
+ this exists in our Zeitgeist is that's,2323.68,4.98
980
+ that's the problem now,2326.26,4.68
981
+ with post-labor economics this is my,2328.66,4.8
982
+ hope and dream is that with post-labor,2330.94,4.62
983
+ economics if optimal redistributions,2333.46,4.26
984
+ remember the idea of the rain clouds,2335.56,4.799
985
+ dropping rain everywhere if optimal,2337.72,5.04
986
+ redistribution is achieved then our,2340.359,6.121
987
+ individual autonomy should increase so,2342.76,5.76
988
+ what I mean by this is that first,2346.48,4.74
989
+ abundance of free time imagine that your,2348.52,4.74
990
+ need for for working a day job goes away,2351.22,5.46
991
+ so suddenly you have 40 hours of per,2353.26,6.66
992
+ week back that's all yours so free time,2356.68,6.84
993
+ is one component of autonomy the other,2359.92,5.34
994
+ thing is the decrease in cost that we,2363.52,4.5
995
+ talk about so if a lot of goods and,2365.26,6.0
996
+ services go down in price then whatever,2368.02,6.36
997
+ money you do have is actually going to,2371.26,4.68
998
+ take you further so basically your,2374.38,3.84
999
+ financial power is effectively increased,2375.94,5.94
1000
+ even if you don't make as much money now,2378.22,6.48
1001
+ that being said the biggest problem the,2381.88,4.44
1002
+ elephant in the room for all this is,2384.7,4.02
1003
+ that trust in the American system is low,2386.32,4.32
1004
+ the government has a poor track record,2388.72,4.32
1005
+ of sticking the landing on these kinds,2390.64,4.14
1006
+ of things and this is not something that,2393.04,3.48
1007
+ you and I can fix this is something that,2394.78,5.18
1008
+ the government has to decide to fix,2396.52,3.44
1009
+ now as we wind down we're getting closer,2400.359,4.381
1010
+ to the end of the video so,2402.46,5.58
1011
+ this is kind of for for us nerds uh the,2404.74,5.52
1012
+ metrologists the matricians who really,2408.04,3.66
1013
+ want to say okay well how do we measure,2410.26,2.76
1014
+ this stuff and this is just kind of like,2411.7,4.139
1015
+ me throwing wet spaghetti at the wall,2413.02,5.88
1016
+ as I mentioned earlier existing key,2415.839,5.221
1017
+ performance indicators kpi like labor,2418.9,4.14
1018
+ force participation rate probably won't,2421.06,4.26
1019
+ matter as much in the future we're going,2423.04,5.059
1020
+ to need to measure economic productivity,2425.32,5.279
1021
+ uh and individual well-being through,2428.099,4.841
1022
+ entirely different means but this,2430.599,4.621
1023
+ underscores the the key question which,2432.94,4.34
1024
+ is what are we trying to optimize for,2435.22,4.98
1025
+ GDP is a proxy for a lot of other things,2437.28,5.14
1026
+ but it's also an aggregate number that,2440.2,4.26
1027
+ is on its own relatively useless just,2442.42,4.62
1028
+ kind of like how the stock market is an,2444.46,4.86
1029
+ aggregate number that for you and me on,2447.04,4.92
1030
+ a day-to-day basis pretty useless,2449.32,5.759
1031
+ so one idea that I had was a well-being,2451.96,4.94
1032
+ index which would be based on,2455.079,4.26
1033
+ self-determination Theory,2456.9,5.26
1034
+ um and so it would measure a,2459.339,4.321
1035
+ population's well-being based on,2462.16,4.14
1036
+ autonomy Mastery or competence and,2463.66,5.4
1037
+ connection so that would be like how,2466.3,4.319
1038
+ much free time does everyone have in the,2469.06,5.34
1039
+ in in your um in your uh Nation how much,2470.619,6.0
1040
+ Social Mobility do they have in terms of,2474.4,4.439
1041
+ the ability to live where they want and,2476.619,3.781
1042
+ go on the vacations that they want to,2478.839,3.78
1043
+ and take on the leader activities that,2480.4,4.32
1044
+ they want to so autonomy would be a,2482.619,3.24
1045
+ really important thing to measure and,2484.72,3.18
1046
+ try and optimize for Mastery or,2485.859,3.781
1047
+ competence would be another thing and,2487.9,3.36
1048
+ that's a much that's a lot harder to,2489.64,3.84
1049
+ measure in aggregate because for some it,2491.26,3.9
1050
+ looks different for everyone for some,2493.48,3.48
1051
+ people Mastery might be getting a third,2495.16,4.56
1052
+ PhD for other people it might be joining,2496.96,4.44
1053
+ you know a football league or something,2499.72,3.96
1054
+ it again it's really difficult to,2501.4,5.04
1055
+ measure and then finally connection is,2503.68,3.72
1056
+ the third component of,2506.44,3.659
1057
+ self-determination Theory or sdt and,2507.4,4.92
1058
+ connection it can easily be measured by,2510.099,4.081
1059
+ number of friends that you have amount,2512.32,3.0
1060
+ of time you spend with friends and,2514.18,3.3
1061
+ family and that sort of thing,2515.32,6.299
1062
+ um so uh another uh existing index is,2517.48,5.76
1063
+ the Ginny coefficient which measures,2521.619,2.941
1064
+ wealth distribution and wealth,2523.24,3.3
1065
+ inequality but again that is just a,2524.56,3.84
1066
+ proxy for other things and that presumes,2526.54,3.78
1067
+ that wealth solves all other problems,2528.4,4.38
1068
+ which it certainly helps it solves a lot,2530.32,3.96
1069
+ of problems but it doesn't solve all,2532.78,4.86
1070
+ problems another uh potentially valuable,2534.28,5.46
1071
+ framework in order to create these new,2537.64,4.32
1072
+ kpi that we might need to optimize for,2539.74,4.5
1073
+ in post labor economics would be,2541.96,4.8
1074
+ Maslow's hierarchy of needs is everyone,2544.24,4.02
1075
+ getting their basic needs met is,2546.76,3.96
1076
+ everyone getting uh and there's a lot of,2548.26,4.56
1077
+ overlap between Maslow and sdt so I,2550.72,4.32
1078
+ don't need to rehash all that,2552.82,4.74
1079
+ so anyways this was a really powerful,2555.04,4.44
1080
+ deep dive I hope you got a lot out of it,2557.56,5.18
1081
+ and thanks for watching,2559.48,3.26
PostSingularity Predictions How will our lives corporations and nations adapt to AI revolution_transcript.csv ADDED
@@ -0,0 +1,1060 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.9,6.54
3
+ with a video so my video about AGI was,3.12,5.88
4
+ super popular,7.44,3.36
5
+ um I suppose I should uh should have,9.0,4.32
6
+ anticipated that you know making a bold,10.8,5.46
7
+ declaration like AGI within 18 months so,13.32,4.74
8
+ with that being said,16.26,6.96
9
+ uh the ramp up to AGI ASI or super,18.06,7.44
10
+ intelligence and then Singularity seems,23.22,3.719
11
+ like it's accelerating especially if you,25.5,4.38
12
+ go by Reddit comments on R Singularity,26.939,4.321
13
+ and a few other places people are like,29.88,2.82
14
+ is this happening are we actually,31.26,4.02
15
+ approaching the wall of exponential,32.7,5.4
16
+ takeoff so assuming that that is the,35.28,4.32
17
+ case and that we are ramping up to the,38.1,3.54
18
+ singularity within the coming uh you,39.6,4.139
19
+ know months or years or whatever let's,41.64,4.5
20
+ explore how the singularity will,43.739,3.961
21
+ actually unfold,46.14,3.12
22
+ first,47.7,4.14
23
+ we need to Define singularity so what do,49.26,4.86
24
+ we mean when we say Singularity there's,51.84,5.039
25
+ obviously a lot of ways to Define this,54.12,4.5
26
+ thing and the simplest way that I could,56.879,3.66
27
+ come up with to Define it is just we say,58.62,4.32
28
+ that the singularity is when AI becomes,60.539,4.501
29
+ orders of magnitude more intelligent,62.94,4.98
30
+ than all humans combined so basically if,65.04,5.04
31
+ current trends continue in terms of AI,67.92,6.18
32
+ research and the power of AI gpt4 is,70.08,7.14
33
+ just as intelligent as many people more,74.1,6.6
34
+ intelligent than some and gpt5 is being,77.22,5.939
35
+ trained and there's open source versions,80.7,5.22
36
+ etc etc so basically if you haven't been,83.159,4.801
37
+ living under a rock you are probably,85.92,5.46
38
+ aware of the rapid ramp up of AI and,87.96,4.86
39
+ it's not showing any signs of slowing,91.38,3.12
40
+ down if anything it's accelerating,92.82,4.02
41
+ because now we're not looking at AI,94.5,4.079
42
+ advancements on a monthly basis we're,96.84,4.26
43
+ looking at it on a weekly basis I was,98.579,4.5
44
+ actually at a Meetup recently and,101.1,3.479
45
+ someone pointed that out they're like I,103.079,2.821
46
+ think we're actually already in the,104.579,2.821
47
+ singularity because we're measuring,105.9,4.62
48
+ advancements on a week to week basis and,107.4,5.1
49
+ soon we might be measuring it on a,110.52,3.66
50
+ day-to-day basis,112.5,5.22
51
+ okay so let's break this down what are,114.18,5.88
52
+ some of the macro economic changes,117.72,4.32
53
+ um that we can expect to see with the,120.06,3.3
54
+ singularity,122.04,3.719
55
+ first we have to talk about what remains,123.36,4.739
56
+ scarce because it's very easy to get,125.759,4.5
57
+ caught up in this you know magical,128.099,3.601
58
+ thinking of AI is going to change,130.259,3.661
59
+ everything but there's going to be some,131.7,4.5
60
+ things that don't change with Ai No,133.92,5.22
61
+ matter how smart it gets so if the,136.2,4.92
62
+ singularity happens there's a few things,139.14,3.54
63
+ that are not really going to change that,141.12,4.44
64
+ much so first is desirable and arable,142.68,5.52
65
+ land some places will remain deserts,145.56,5.58
66
+ hence this AI generated image of a woman,148.2,6.0
67
+ in a desert we'll get to that later when,151.14,5.22
68
+ we talk about Fusion,154.2,5.1
69
+ but uh fresh potable water most of the,156.36,4.739
70
+ water on the planet is also salt water,159.3,4.26
71
+ again we might be able to change that if,161.099,5.461
72
+ we solve uh if we solve uh nuclear,163.56,5.88
73
+ fusion and other energy sources,166.56,4.02
74
+ um but then there's other physical,169.44,3.72
75
+ resources such as minerals,170.58,5.7
76
+ um and and and mind natural resources,173.16,6.18
77
+ that will also probably remain scarce no,176.28,5.76
78
+ matter how intelligent AI becomes so,179.34,4.979
79
+ this will be a really con uh critical,182.04,4.86
80
+ constraint which could really drive up,184.319,5.28
81
+ the value of some of these resources,186.9,4.919
82
+ um but and as I mentioned if we solve,189.599,4.201
83
+ nuclear fusion we could desalinate water,191.819,4.92
84
+ we could air irrigate deserts and so on,193.8,4.2
85
+ and so forth but that could have,196.739,3.481
86
+ unintended consequences because if,198.0,4.62
87
+ suddenly you irrigate every desert on,200.22,4.68
88
+ the planet maybe those deserts actually,202.62,4.44
89
+ form a really critical component of our,204.9,5.339
90
+ ecosystem lastly if we solve space,207.06,4.92
91
+ flight we could probably start,210.239,4.441
92
+ harvesting asteroids and other even,211.98,5.22
93
+ other planets for Rare Minerals because,214.68,4.08
94
+ there are,217.2,3.66
95
+ trillions and trillions and trillions of,218.76,4.619
96
+ dollars worth of Rare Minerals out there,220.86,4.5
97
+ on the solar system so it's entirely,223.379,3.601
98
+ possible that all of these will actually,225.36,3.959
99
+ be solved at some point in the future,226.98,3.839
100
+ with this with the singularity but at,229.319,3.361
101
+ least in the short term these will,230.819,3.961
102
+ remain scarce resources,232.68,4.68
103
+ now on the flip side from a,234.78,4.679
104
+ macroeconomic perspective what becomes,237.36,4.14
105
+ abundant with the singularity the,239.459,3.541
106
+ primary thing that becomes abundant with,241.5,3.48
107
+ the singularity is knowledge information,243.0,4.56
108
+ and cognitive labor so what I mean by,244.98,4.74
109
+ cognitive labor is thinking knowledge,247.56,5.64
110
+ work service industry jobs so basically,249.72,6.12
111
+ what happens if AI becomes orders of,253.2,4.74
112
+ magnitude smarter than humans and we,255.84,3.54
113
+ remain in control of it this is all,257.94,4.5
114
+ assuming the the good ending right that,259.38,5.039
115
+ we don't get wiped out,262.44,4.08
116
+ basically what that means is that human,264.419,5.34
117
+ cognitive effort becomes irrelevant,266.52,6.6
118
+ um now that sounds really awful but one,269.759,4.5
119
+ thing that I realized while I was,273.12,3.6
120
+ working on this is that on an individual,274.259,3.601
121
+ basis,276.72,4.32
122
+ most people's cognitive effort is,277.86,5.1
123
+ already irrelevant right we're on a,281.04,4.08
124
+ planet of 8 billion people chances are,282.96,3.72
125
+ someone has already solved the problem,285.12,3.66
126
+ that you're working on whether or not,286.68,4.2
127
+ you realize it is a different you know,288.78,3.72
128
+ story but,290.88,3.78
129
+ um you know doing science and and,292.5,4.199
130
+ solving problems it can be really,294.66,3.96
131
+ difficult and it's it's mostly a matter,296.699,5.401
132
+ of right place right time but you know,298.62,5.7
133
+ there are there well with that being,302.1,4.2
134
+ said there are still unsolved problems,304.32,3.0
135
+ out there,306.3,4.8
136
+ and the singularity with you know hyper,307.32,6.599
137
+ Advanced AI will probably just result in,311.1,4.14
138
+ kind of the same behavior that we're,313.919,2.941
139
+ already seeing because the collective,315.24,3.36
140
+ wisdom of humanity solves problems,316.86,4.5
141
+ pretty quickly right but the velocity of,318.6,4.86
142
+ that problem solving will probably go up,321.36,4.679
143
+ uh you know maybe a few degrees maybe an,323.46,5.519
144
+ order of magnitude not sure yet but,326.039,5.761
145
+ a hyperabundance of cognitive labor is,328.979,5.521
146
+ is actually probably not going to be as,331.8,4.92
147
+ immediately and dramatically impactful,334.5,4.5
148
+ as you might think because like look at,336.72,3.96
149
+ Reddit and Twitter and other social,339.0,4.259
150
+ media platforms that allow you to solve,340.68,5.76
151
+ problems get answers uh and and move on,343.259,5.94
152
+ very quickly so basically instead of,346.44,4.44
153
+ having you know lazy Twitter or Reddit,349.199,3.901
154
+ where you ask a problem ask the machines,350.88,4.2
155
+ for a problem where you know people are,353.1,3.659
156
+ collectively now the machines are going,355.08,3.179
157
+ to be doing it and actually some of the,356.759,3.061
158
+ people that I'm working with on these,358.259,4.021
159
+ autonomous AI projects one of the key,359.82,3.9
160
+ things that we're working on is figuring,362.28,3.96
161
+ out how to get AI to talk to each other,363.72,6.18
162
+ in an autonomous manner that is safe and,366.24,5.22
163
+ transparent and this is where natural,369.9,4.079
164
+ language comes in because you don't want,371.46,4.62
165
+ AI using their own coded language to,373.979,4.861
166
+ talk to each other you want AI using uh,376.08,4.92
167
+ human readable natural language to talk,378.84,4.68
168
+ to each other anyways that's a topic for,381.0,5.28
169
+ another video,383.52,4.98
170
+ um so let's move forward from those,386.28,4.74
171
+ macro economic changes to technological,388.5,5.28
172
+ breakthroughs if suddenly we have a,391.02,5.519
173
+ hyperabundance of cognitive effort or,393.78,4.979
174
+ cognitive labor what kind of Technology,396.539,5.461
175
+ Solutions can we imagine being solved so,398.759,5.461
176
+ first is high energy physics,402.0,4.62
177
+ high energy physics the stuff that,404.22,5.039
178
+ they're working on at the CERN at LHC,406.62,5.22
179
+ this includes nuclear fusion it could,409.259,5.28
180
+ include even anti-matter research who,411.84,4.68
181
+ knows maybe time travel may be faster,414.539,4.261
182
+ than light travel not really sure but at,416.52,3.899
183
+ least the first problem that will likely,418.8,3.72
184
+ be solved in high energy physics is,420.419,5.041
185
+ probably going to be nuclear fusion it's,422.52,5.22
186
+ really difficult to anticipate what,425.46,4.22
187
+ solving nuclear fusion will do because,427.74,4.799
188
+ nuclear fusion is a thousand times more,429.68,5.139
189
+ powerful and efficient than any form of,432.539,4.921
190
+ energy we have today so when you have a,434.819,4.921
191
+ hyperabundance of energy suddenly a lot,437.46,4.2
192
+ of other things become possible for,439.74,3.84
193
+ instance you can then afford to,441.66,4.74
194
+ desalinate as much water as you need you,443.58,5.519
195
+ can then afford to run underground Farms,446.4,5.1
196
+ you know that are completely unbounded,449.099,4.38
197
+ from arable land there's all kinds of,451.5,3.9
198
+ stuff that you can do once you unlock,453.479,5.701
199
+ nuclear fusion the knock-on effects of,455.4,6.239
200
+ solving nuclear fusion are impossible to,459.18,4.859
201
+ say not only just like in the short term,461.639,4.321
202
+ we can come up with a couple ideas but,464.039,3.66
203
+ certainly in the long term solving,465.96,3.9
204
+ nuclear fusion solves so many other,467.699,3.361
205
+ problems,469.86,3.36
206
+ um it solves recycling because then,471.06,3.72
207
+ suddenly you can afford to just melt,473.22,3.06
208
+ down any material no matter how,474.78,3.84
209
+ expensive it is so you can reclaim all,476.28,4.38
210
+ the lithium all the Cobalt all the,478.62,5.04
211
+ nickel from everything platinum gold,480.66,5.22
212
+ pretty much every mineral becomes,483.66,5.039
213
+ accessible no matter how difficult it is,485.88,5.52
214
+ to isolate because suddenly if you have,488.699,5.641
215
+ many many gigajoules of energy available,491.4,6.18
216
+ at all times for practically free it,494.34,4.68
217
+ doesn't matter how much energy it costs,497.58,3.119
218
+ to recycle a material that's just,499.02,3.84
219
+ another example,500.699,4.981
220
+ um another set of solved problems that,502.86,4.86
221
+ you can expect with a hyperabundance of,505.68,4.56
222
+ of cognitive labor is basically disease,507.72,5.879
223
+ genetics and aging uh that you know the,510.24,5.7
224
+ the human body our genetics our,513.599,4.5
225
+ metabolism one of the most complex,515.94,5.88
226
+ systems uh in existence uh there's more,518.099,5.161
227
+ than a hundred thousand metabolic,521.82,3.24
228
+ pathways that we know of in the human,523.26,4.8
229
+ body alone and they all interact uh not,525.06,4.5
230
+ only that they interact with your genes,528.06,4.98
231
+ your epigenetics uh your microflora all,529.56,6.24
232
+ kinds of stuff super complex system but,533.04,5.4
233
+ if you have a hyper abundance of of,535.8,5.7
234
+ intellect then you can create new tools,538.44,4.92
235
+ you can create new processes you can,541.5,4.68
236
+ manage vast amounts of information and,543.36,4.86
237
+ so then we might end up we might end up,546.18,4.98
238
+ curing all disease all aging and,548.22,4.799
239
+ untangling all genetics,551.16,3.84
240
+ within a relatively short period of time,553.019,5.041
241
+ after achieving you know the singularity,555.0,5.279
242
+ or AGI or however you want to call it,558.06,4.2
243
+ excuse me and then finally Material,560.279,4.74
244
+ Science so Material Science we're,562.26,3.84
245
+ already seeing the beginning of this,565.019,2.461
246
+ with Alpha fold,566.1,3.9
247
+ and so basically imagine that you have,567.48,4.08
248
+ Alpha fold which if you're not familiar,570.0,5.1
249
+ with Alpha fold that is a way of using,571.56,5.339
250
+ deep neural networks using Transformers,575.1,4.38
251
+ to model protein folding,576.899,5.041
252
+ which was an unsolved problem but now,579.48,3.96
253
+ that it's a solved problem we can model,581.94,4.019
254
+ any protein folding now take that to the,583.44,4.019
255
+ next level what if not only you can,585.959,3.661
256
+ model all protein folding you can,587.459,4.621
257
+ measure or you can model all protein,589.62,4.44
258
+ interactions all genetic interactions,592.08,4.08
259
+ then take that one step further you can,594.06,3.959
260
+ measure or model,596.16,5.16
261
+ um uh nanoparticles carbon You can,598.019,6.781
262
+ predict how to build very very Advanced,601.32,6.6
263
+ Materials which could revolutionize for,604.8,4.32
264
+ instance batteries and computer,607.92,4.68
265
+ technology I predict that the Materials,609.12,4.8
266
+ Science breakthroughs that will result,612.6,4.98
267
+ from um from AI means that like,613.92,6.3
268
+ basically in a in five to ten years your,617.58,4.86
269
+ phone could be more powerful than all,620.22,4.739
270
+ computers on Earth today,622.44,4.44
271
+ um and I'm not really exaggerating when,624.959,3.241
272
+ I say that because the amount of,626.88,4.38
273
+ computational power just in the atoms of,628.2,4.74
274
+ a phone like if you have a membrane or,631.26,3.259
275
+ whatever or a three-dimensional wafer,632.94,4.5
276
+ the amount of potential computational,634.519,5.861
277
+ power in matter is,637.44,6.72
278
+ inconceivable basically inconceivable,640.38,6.3
279
+ um so anyways you know it would it would,644.16,4.44
280
+ not surprise me if we move up a,646.68,4.02
281
+ kardashev scale or two,648.6,3.9
282
+ um post singularity,650.7,4.92
283
+ now that being said there are still some,652.5,5.94
284
+ unsolved problems uh that that pretty,655.62,5.94
285
+ much no amount of intellectual labor,658.44,6.72
286
+ um on Earth could solve so for instance,661.56,5.279
287
+ uh some people in the comments have,665.16,3.239
288
+ asked about you know the hard problem of,666.839,4.021
289
+ Consciousness uh that may or may not be,668.399,4.741
290
+ solvable by machines period that might,670.86,3.84
291
+ be something that we humans have to,673.14,3.24
292
+ figure out for ourselves,674.7,4.079
293
+ uh which extends to fundamental,676.38,5.399
294
+ questions of existence of cosmology some,678.779,5.041
295
+ of these things are not necessarily a,681.779,4.381
296
+ matter of you know mathematically,683.82,4.019
297
+ proving it and measuring it in the lab,686.16,3.6
298
+ some of these things are a matter of,687.839,4.201
299
+ interpretation some of these things are,689.76,4.199
300
+ a matter of subjective values such as,692.04,3.96
301
+ the meaning of life so on and so forth,693.959,3.301
302
+ now,696.0,3.54
303
+ one thing that people imagine when we,697.26,3.96
304
+ talk about transhumanism or,699.54,4.14
305
+ post-humanism is that we will have some,701.22,5.34
306
+ sort of transcendence event I personally,703.68,4.62
307
+ don't think the singularity will result,706.56,4.019
308
+ in some kind of transcendent event where,708.3,5.76
309
+ we all become like Q from Star Trek or,710.579,5.341
310
+ you know some final solution where we,714.06,4.98
311
+ become beings of energy I also don't,715.92,4.68
312
+ think that mind uploading is a good idea,719.04,2.76
313
+ I know a lot of people think that that's,720.6,3.6
314
+ great but like we don't understand why,721.8,4.44
315
+ we are conscious you know and and,724.2,5.22
316
+ basically I I predict that you know if,726.24,4.62
317
+ you try and upload your mind you're just,729.42,3.3
318
+ going to upload a copy of yourself and,730.86,3.3
319
+ then your body will be dead and so,732.72,3.6
320
+ subjectively you will have died but a,734.16,3.78
321
+ copy of you will continue on forever so,736.32,3.06
322
+ I don't think that mind uploading is a,737.94,4.2
323
+ good idea which if that's the case then,739.38,4.98
324
+ like we will forever be locked in our,742.14,3.6
325
+ organic bodies,744.36,3.56
326
+ even if there are digital copies of us,745.74,5.099
327
+ frolicking out in cyberspace they're not,747.92,4.359
328
+ going to be us and they're going to have,750.839,3.06
329
+ an entirely different set of constraints,752.279,3.781
330
+ because then if they're if if you become,753.899,3.721
331
+ or a copy of you becomes a digital,756.06,3.3
332
+ entity you suddenly don't have the same,757.62,3.839
333
+ biological constraints and so we have,759.36,5.279
334
+ this like Grand Divergence of digital,761.459,5.88
335
+ post-humans and then us organic meat,764.639,3.841
336
+ bags,767.339,3.06
337
+ um that's that to me sounds like an,768.48,3.659
338
+ unsolved problem that I don't think AI,770.399,3.721
339
+ is going to fix for us,772.139,5.7
340
+ all right uh moving on to social changes,774.12,5.64
341
+ jobs and occupations,777.839,3.661
342
+ so,779.76,4.44
343
+ as machines get more intelligent the the,781.5,5.639
344
+ tldr is that most jobs are going to,784.2,5.1
345
+ become irrelevant,787.139,3.721
346
+ um you know I've talked with people,789.3,3.3
347
+ about this there's a lot of there's a,790.86,3.419
348
+ lot of BS jobs out there that nobody,792.6,3.299
349
+ really wants to do but you do it because,794.279,4.5
350
+ you know you need to eat and you need to,795.899,5.581
351
+ pay for your house and whatever,798.779,5.581
352
+ and so what we're going to have to do is,801.48,4.5
353
+ then recalibrate,804.36,4.979
354
+ how we think of meaning and purpose and,805.98,4.56
355
+ success,809.339,4.5
356
+ and this includes uh maybe uh shifting,810.54,4.739
357
+ and having a greater emphasis on,813.839,3.961
358
+ Creative creativity exploration and,815.279,4.201
359
+ self-improvement,817.8,3.96
360
+ um and then one idea that that came from,819.48,5.76
361
+ discussing this with chat GPT was that,821.76,6.06
362
+ as a society we might instead instead of,825.24,5.52
363
+ focusing on conformance to one standard,827.82,5.22
364
+ of Education we might instead really,830.76,4.74
365
+ focus on what makes everyone unique,833.04,5.46
366
+ which was a really interesting new model,835.5,5.76
367
+ of education so imagine that you go to,838.5,4.98
368
+ school and instead of like everyone has,841.26,4.44
369
+ the same classes you have a broad,843.48,4.859
370
+ variety of projects and experiments and,845.7,4.68
371
+ things to figure out what it is that one,848.339,4.021
372
+ you really care about and two what,850.38,3.899
373
+ really makes you stand out and so then,852.36,4.74
374
+ everyone can have a very different uh,854.279,5.0
375
+ focus on education,857.1,4.44
376
+ my first year of school was at,859.279,4.481
377
+ Montessori school and so I can imagine,861.54,6.239
378
+ taking that to the next level anyways,863.76,5.16
379
+ um I know that there's a lot of people,867.779,3.18
380
+ that say oh well without a job we have,868.92,4.919
381
+ no meaning that is your neoliberal,870.959,5.461
382
+ programming speaking I and other people,873.839,4.62
383
+ that have made a transition to a,876.42,4.26
384
+ different uh different kind of,878.459,4.44
385
+ occupation you know my my occupation is,880.68,4.08
386
+ now YouTube and patreon which I find,882.899,5.281
387
+ much more interesting and and and uh and,884.76,7.379
388
+ rewarding is much closer to Lifestyles,888.18,6.18
389
+ that have existed in the past so for,892.139,4.56
390
+ instance in ancient Greece particularly,894.36,4.919
391
+ in Sparta Spartan citizens were not,896.699,4.08
392
+ allowed to have a job,899.279,4.5
393
+ their job was to be soldiers to be,900.779,5.041
394
+ Hunters to be politicians to participate,903.779,4.981
395
+ in culture and Society not to be leather,905.82,6.06
396
+ workers or anything else and so,908.76,5.519
397
+ obviously ancient Sparta didn't,911.88,4.5
398
+ ultimately didn't do so well ancient,914.279,4.261
399
+ Athens they did much better very similar,916.38,4.86
400
+ model with the with the the citizen,918.54,4.68
401
+ class the Leisure Class,921.24,4.38
402
+ um ditto for ancient Rome so humans have,923.22,4.979
403
+ adapted to kind of these effectively,925.62,5.64
404
+ opposed scarcity world before but,928.199,4.681
405
+ instead of working on the backs of,931.26,4.8
406
+ subjugated classes of people we will be,932.88,6.48
407
+ we will all enter into a post-scarcity,936.06,6.12
408
+ Leisure Class on the backs of AI that's,939.36,3.96
409
+ kind of what I predict is going to,942.18,1.86
410
+ happen,943.32,2.28
411
+ because honestly most people want that,944.04,3.419
412
+ anyways and if we have a collective,945.6,4.56
413
+ willpower to want that who cares and I,947.459,4.32
414
+ can hear some of you already complaining,950.16,3.239
415
+ oh corporations are never going to allow,951.779,3.18
416
+ that to happen I'm gonna get to that in,953.399,5.041
417
+ just a second glad you asked okay so if,954.959,5.041
418
+ we,958.44,4.139
419
+ sudden if nobody's job really matters,960.0,4.92
420
+ what do we do then right one of the,962.579,4.141
421
+ conversations that I had at a Meetup was,964.92,3.12
422
+ like well what if everyone just plays,966.72,3.0
423
+ video games there's actually a reason,968.04,3.659
424
+ that video games are so popular,969.72,5.04
425
+ uh because video games uh can social uh,971.699,4.981
426
+ can foster social connection right a lot,974.76,4.379
427
+ of games are very very social today and,976.68,4.44
428
+ they're also challenging which means,979.139,3.901
429
+ that they uh give you a sense of,981.12,4.2
430
+ competence a sense of Mastery and,983.04,4.739
431
+ finally video games give you a lot more,985.32,5.22
432
+ autonomy like you you can be anyone that,987.779,5.041
433
+ you want in a video game world and those,990.54,4.08
434
+ three things satisfy,992.82,2.639
435
+ um the three pillars of,994.62,2.82
436
+ self-determination Theory autonomy human,995.459,4.081
437
+ connection incompetence which is why so,997.44,3.78
438
+ many people play video games,999.54,4.62
439
+ so if you look at sdt self-determination,1001.22,5.94
440
+ Theory and then you say okay well take,1004.16,5.52
441
+ away the need for a job and suddenly AI,1007.16,5.7
442
+ gives us all a lot more autonomy gives,1009.68,4.62
443
+ us an opportunity for more human,1012.86,3.419
444
+ connection the only remaining thing is,1014.3,3.06
445
+ challenge,1016.279,3.12
446
+ and what happens for a lot of people who,1017.36,4.38
447
+ retire or step away from conventional,1019.399,5.881
448
+ work is that we realize like oh wait I,1021.74,5.88
449
+ can challenge myself in new ways,1025.28,3.6
450
+ um all of you that watch my YouTube,1027.62,3.36
451
+ channel I don't actually need to do all,1028.88,3.84
452
+ the coding experiments that I do but I,1030.98,4.26
453
+ find it deeply satisfying to challenge,1032.72,4.68
454
+ myself to try and solve the problems out,1035.24,3.66
455
+ there and I'm not saying everyone is,1037.4,3.72
456
+ going to engage in this kind of problem,1038.9,4.32
457
+ solving some people are going to go to,1041.12,4.98
458
+ do martial arts or go climb mountains or,1043.22,5.579
459
+ whatever but we humans love love,1046.1,4.02
460
+ challenges,1048.799,4.201
461
+ we need to feel competent and we need to,1050.12,5.7
462
+ to have a sense of Mastery and um the,1053.0,5.28
463
+ Sam Altman interview he pointed out that,1055.82,5.28
464
+ yes AI has solved go and chess and other,1058.28,4.86
465
+ things but we still play chess we just,1061.1,3.12
466
+ don't play against computers because,1063.14,2.7
467
+ there's no point there's no sense of,1064.22,2.94
468
+ Mastery against something that you're,1065.84,3.36
469
+ never going to win against,1067.16,4.56
470
+ um so anyways the long-term effect of,1069.2,4.14
471
+ this is that we're probably going to see,1071.72,4.38
472
+ new social structures emerge,1073.34,5.64
473
+ um or maybe even older social structures,1076.1,5.939
474
+ re-emerge I particularly predict that,1078.98,4.14
475
+ we're going to see more,1082.039,3.721
476
+ multi-generational homes more kind of,1083.12,5.58
477
+ tribal or Village lifestyle things uh,1085.76,5.7
478
+ and re-emerge because suddenly it's like,1088.7,5.28
479
+ okay well there's you know here's a,1091.46,4.5
480
+ dozen people that I really like and none,1093.98,4.079
481
+ of us have a job so let's go form an Eco,1095.96,3.66
482
+ Village you know out in the countryside,1098.059,5.221
483
+ or maybe an urban co-living situation in,1099.62,4.86
484
+ the city,1103.28,3.54
485
+ um who knows uh just some speculation,1104.48,3.3
486
+ there,1106.82,3.78
487
+ okay so I promised that we would address,1107.78,4.38
488
+ the uh some of the elephants in the room,1110.6,3.6
489
+ so let's unpack all the risks and,1112.16,4.86
490
+ factors that will go into this Rosie,1114.2,5.58
491
+ post Singularity result that I have,1117.02,3.899
492
+ outlined,1119.78,3.779
493
+ so the first one is the development and,1120.919,5.701
494
+ control of AI obviously many of you are,1123.559,5.461
495
+ probably aware that there's been a uh,1126.62,4.86
496
+ the the letter circulating that's signed,1129.02,4.2
497
+ by a whole bunch of people including,1131.48,4.38
498
+ Elon Musk and Max tegmark all calling,1133.22,6.3
499
+ for a a moratorium on the advancement of,1135.86,6.0
500
+ AI for at least six months while we take,1139.52,4.08
501
+ a breath and reassess,1141.86,5.34
502
+ so it's an it is possible that if we,1143.6,6.06
503
+ continue at a Breakneck pace and things,1147.2,5.52
504
+ do it and people do it wrong then we're,1149.66,4.56
505
+ going to end up in some kind of,1152.72,4.68
506
+ dystopian or cataclysmic outcome so,1154.22,5.88
507
+ there's basically two primary uh failure,1157.4,5.76
508
+ modes for this one is we lose control of,1160.1,5.939
509
+ the AI and it decides to kill us all the,1163.16,4.62
510
+ other failure the other major failure,1166.039,4.02
511
+ mode is that we don't lose control of AI,1167.78,4.259
512
+ but the wrong people get the powerful Ai,1170.059,4.201
513
+ and they use it to kill everyone else or,1172.039,4.26
514
+ subjugate everyone else so those are the,1174.26,4.26
515
+ two primary failure modes that have to,1176.299,4.861
516
+ do with AI development and control,1178.52,4.5
517
+ um and this has been explored in a lot,1181.16,3.06
518
+ of fiction,1183.02,2.88
519
+ um and so like I'm kind of tired of it,1184.22,3.18
520
+ so I'm not going to really talk about it,1185.9,4.26
521
+ that much more but point being is that,1187.4,6.12
522
+ 99 of people don't really want an AI,1190.16,5.1
523
+ apocalypse some people seem to really,1193.52,4.2
524
+ wish for it but I think that's a sense,1195.26,4.68
525
+ of nihilism like leaking through some,1197.72,3.72
526
+ people think it's inevitable and there's,1199.94,3.78
527
+ a sort of fatalism about it and that,1201.44,3.84
528
+ again you know I empathize with people,1203.72,2.819
529
+ like that,1205.28,3.42
530
+ um I Echo Sam Altman's sentiment that,1206.539,3.661
531
+ like yeah there are a lot of people,1208.7,2.82
532
+ afraid and I'm not going to tell them,1210.2,2.7
533
+ that they're wrong or that they're,1211.52,3.6
534
+ stupid or that it's magical thinking,1212.9,4.92
535
+ like we are playing with fire,1215.12,4.62
536
+ um I just happen to be very sanguine,1217.82,4.68
537
+ about it because I feel like one all the,1219.74,5.22
538
+ problems that exist are solvable and two,1222.5,4.74
539
+ I think that they are solvable in the,1224.96,3.839
540
+ very near term,1227.24,4.86
541
+ okay another big risk is distribution of,1228.799,5.101
542
+ benefits this is one of the biggest,1232.1,3.84
543
+ things that people are worried about,1233.9,3.96
544
+ which is okay,1235.94,4.14
545
+ do you the like the one of the most,1237.86,4.38
546
+ common pushbacks is like do you honestly,1240.08,3.66
547
+ think that corporations are going to,1242.24,4.439
548
+ allow everyone to live a luxurious,1243.74,4.799
549
+ lifestyle or that the rich and Powerful,1246.679,4.441
550
+ are going to allow everyone else to live,1248.539,4.38
551
+ like they do,1251.12,3.419
552
+ well first I don't know that they'll,1252.919,3.721
553
+ have that much of a choice in it but two,1254.539,4.681
554
+ I think the fact that the the masses,1256.64,5.52
555
+ like you and I the proletariat we don't,1259.22,5.28
556
+ want to live in a cyberpunk Hell right,1262.16,5.04
557
+ and we have seen what happens repeatedly,1264.5,5.16
558
+ through history as people get hungrier,1267.2,4.26
559
+ and more desperate the most recent,1269.66,3.6
560
+ incident was the Arab Spring in which,1271.46,4.56
561
+ case much of the Middle East the Arab,1273.26,5.7
562
+ world rose up and the primary driving,1276.02,6.24
563
+ Factor was economic conditions,1278.96,4.86
564
+ um and then of course you go back even,1282.26,4.08
565
+ further the French Revolution this kind,1283.82,4.02
566
+ of thing has happened time and time,1286.34,3.6
567
+ again so I'm not too particularly,1287.84,3.959
568
+ worried about that because push comes to,1289.94,3.78
569
+ shove people are going to stand up and,1291.799,5.581
570
+ and and redistribute forcefully now,1293.72,6.06
571
+ I'm not advocating for you know Civil,1297.38,3.9
572
+ War or anything I don't even think it's,1299.78,4.32
573
+ going to come to that because you know I,1301.28,4.92
574
+ follow Davos and World economic forum,1304.1,5.22
575
+ and U.N and and all the you know Halls,1306.2,6.18
576
+ of power IMF the World Bank,1309.32,5.94
577
+ um the halls of power really are paying,1312.38,4.08
578
+ attention to this and I think that,1315.26,3.899
579
+ they're preparing for it honestly so for,1316.46,6.18
580
+ instance I suspect that the uh the the,1319.159,5.701
581
+ stimulus checks that America did during,1322.64,4.62
582
+ the pandemic I think that that was a,1324.86,4.5
583
+ pilot program to demonstrate that,1327.26,4.2
584
+ redistribution works that it is fast,1329.36,4.14
585
+ efficient and fair because they what,1331.46,3.48
586
+ they did was they did the stimulus,1333.5,4.62
587
+ checks alongside the the um the paycheck,1334.94,6.18
588
+ uh Protection Program the PPP loans and,1338.12,4.38
589
+ they basically did a side-by-side test,1341.12,4.439
590
+ showing look the PPP loans are expensive,1342.5,5.28
591
+ and Rife with corruption and the,1345.559,3.781
592
+ stimulus checks went directly to people,1347.78,3.84
593
+ who needed it and it all got spent by,1349.34,4.5
594
+ individuals who needed it so I kind of,1351.62,4.74
595
+ think that the the stimulus checks were,1353.84,6.66
596
+ a a pilot program or a prototype for Ubi,1356.36,6.48
597
+ and when you look at the landscape right,1360.5,4.44
598
+ now where there's been over 300 000 Tech,1362.84,5.28
599
+ layoffs and more other other kinds of,1364.94,4.92
600
+ people are already starting to get laid,1368.12,4.38
601
+ off and notified of layoffs due to,1369.86,5.1
602
+ Technologies like chat GPT,1372.5,4.62
603
+ um my fiance who's a writer and is in a,1374.96,3.78
604
+ lot of writing discords there are,1377.12,3.179
605
+ copywriters out there who are already,1378.74,5.28
606
+ getting laid off and losing work to AI,1380.299,6.541
607
+ um so like the AI layoffs are coming so,1384.02,4.74
608
+ I think that we're also going to see a,1386.84,4.5
609
+ lot of stimulus checks coming and it's,1388.76,4.5
610
+ just a matter of okay are these stimulus,1391.34,3.66
611
+ checks permanent and I think that they,1393.26,3.12
612
+ will be,1395.0,3.84
613
+ the regulatory environment so this is,1396.38,5.1
614
+ where that letter that just came out,1398.84,4.98
615
+ um is is asking for regulation Sam,1401.48,4.14
616
+ Allman has asked for regulation Elon,1403.82,4.32
617
+ Musk has asked for regulation all kinds,1405.62,4.14
618
+ of people are asking for more regulation,1408.14,5.159
619
+ now the big problem here though is one,1409.76,5.46
620
+ there's no agreement on how to regulate,1413.299,3.541
621
+ these things and in the conversations,1415.22,5.1
622
+ I've had at meetups the question rapidly,1416.84,4.98
623
+ comes up how do you even enforce it,1420.32,3.859
624
+ right if all these models are getting,1421.82,4.5
625
+ faster and more efficient and you can,1424.179,4.661
626
+ run them on laptops now you can't put,1426.32,3.96
627
+ that Genie back in the model so does,1428.84,3.18
628
+ regulation even matter,1430.28,4.44
629
+ or if it does how,1432.02,4.139
630
+ so,1434.72,3.839
631
+ the big concern here with the regulatory,1436.159,3.961
632
+ environment at the federal and,1438.559,3.721
633
+ international level is existing power,1440.12,4.38
634
+ structures and the status quo so the,1442.28,3.899
635
+ wealthy and Powerful are going to want,1444.5,3.179
636
+ to remain the wealthiest and most,1446.179,3.721
637
+ powerful on the planet that's just how,1447.679,4.38
638
+ it is and how it has always been there,1449.9,4.139
639
+ have been reset events like you know the,1452.059,4.5
640
+ French Revolution American Revolution so,1454.039,3.901
641
+ on and so forth there have been reset,1456.559,3.301
642
+ events in history but they're generally,1457.94,4.38
643
+ violent and we want to avoid that so do,1459.86,4.319
644
+ the so do the powers that be also want,1462.32,4.56
645
+ to avoid that but the biggest problem in,1464.179,4.74
646
+ these conversations that I've had is,1466.88,4.5
647
+ that things are advancing so fast and,1468.919,4.561
648
+ the gerontocracy which is ruled by the,1471.38,3.12
649
+ elderly,1473.48,3.9
650
+ old folks generally don't get AI they,1474.5,4.919
651
+ don't understand how much is changing,1477.38,4.2
652
+ and why and what its impact is going to,1479.419,4.38
653
+ be and that honestly could be one of the,1481.58,5.52
654
+ biggest risks is you know us younger,1483.799,5.521
655
+ people we get it we see it coming,1487.1,3.78
656
+ even some of the people at the meetups,1489.32,3.359
657
+ that I talk to their children are,1490.88,6.06
658
+ already acclimating to a an AI world and,1492.679,5.641
659
+ they're going to trust the AI more than,1496.94,2.219
660
+ people because it's like well,1498.32,2.94
661
+ politicians lie and yeah chat GPT might,1499.159,3.661
662
+ get it wrong sometimes but it's not,1501.26,2.88
663
+ going to lie to you but not like a,1502.82,3.239
664
+ politician will so we're in we're in for,1504.14,4.38
665
+ some very interesting uh advancements in,1506.059,4.921
666
+ the regulatory front,1508.52,5.519
667
+ public perception and adaptation so,1510.98,5.22
668
+ there's a lot of fun fear uncertainty,1514.039,4.861
669
+ and doubt uh denialism doomerism and,1516.2,3.959
670
+ then also lots of people saying oh,1518.9,3.779
671
+ that's still decades away it's not it's,1520.159,5.041
672
+ months and years away not decades,1522.679,5.401
673
+ um so the another big problem is a lot,1525.2,4.44
674
+ of this uncertainty a lot of this,1528.08,3.12
675
+ denialism,1529.64,3.12
676
+ um some of the there's various aspects,1531.2,3.839
677
+ of the of the denialism for instance,1532.76,3.96
678
+ some people think oh well ai's never,1535.039,3.301
679
+ going to be as smart as us or it's never,1536.72,2.76
680
+ going to be smarter than us and it's,1538.34,2.819
681
+ like I kind of think that it's already,1539.48,4.5
682
+ smarter than those people it just lacks,1541.159,3.961
683
+ autonomy,1543.98,4.02
684
+ um but you know that's my opinion and I,1545.12,4.159
685
+ know some of you disagree with it,1548.0,3.779
686
+ anyways this is another big risk is,1549.279,4.0
687
+ because a lot of people are sticking,1551.779,3.481
688
+ their head in the sand and then there's,1553.279,3.541
689
+ also comments around the world like,1555.26,2.94
690
+ someone was saying that I think in,1556.82,3.66
691
+ France like they don't even like people,1558.2,4.079
692
+ aren't even talking about it right it's,1560.48,4.079
693
+ so like all of this is happening so,1562.279,4.441
694
+ quickly and most people aren't even,1564.559,4.561
695
+ aware of it of course chat GPT made the,1566.72,4.02
696
+ news but then people just kind of you,1569.12,3.78
697
+ know World by and large collectively,1570.74,4.319
698
+ Shrugged without understanding how fast,1572.9,4.379
699
+ this is ramping up so public perception,1575.059,4.921
700
+ and and acclimating to this could also,1577.279,4.681
701
+ be a big barrier,1579.98,5.04
702
+ uh Global uh Global cooperation and,1581.96,6.48
703
+ collaboration the big thing here is,1585.02,6.42
704
+ um what what I call trauma politics so,1588.44,4.92
705
+ basically you look at people like Putin,1591.44,5.16
706
+ and Xi Jinping both of whom suffered a,1593.36,6.6
707
+ tremendous amount of trauma at the hands,1596.6,6.3
708
+ of their dystopian governments,1599.96,5.099
709
+ um and they basically are seeking power,1602.9,5.46
710
+ for the purpose of self-soothing,1605.059,5.821
711
+ um that's pretty much all there is to it,1608.36,5.4
712
+ but when when people who have a,1610.88,4.32
713
+ tremendous amount of trauma come into,1613.76,4.2
714
+ power they tend to have a more,1615.2,5.04
715
+ nihilistic worldview which with which,1617.96,5.16
716
+ then results in things like genocide,1620.24,5.039
717
+ mass incarceration surveillance States,1623.12,4.32
718
+ because they want control they want as,1625.279,3.9
719
+ much control and power as they can get,1627.44,4.32
720
+ and it's never enough,1629.179,3.181
721
+ um,1631.76,4.32
722
+ and so this nihilism also creates a,1632.36,6.6
723
+ self-fulfilling prophecy because they,1636.08,5.52
724
+ project their pain onto the world which,1638.96,4.38
725
+ causes more trauma look at the war in,1641.6,2.76
726
+ Ukraine,1643.34,2.339
727
+ um look at China's treatment of the,1644.36,3.419
728
+ uyghurs and then that creates a,1645.679,4.561
729
+ self-perpetuating loop of more trauma,1647.779,4.741
730
+ intergenerational trauma and so forth so,1650.24,5.76
731
+ so on and so forth and so in my opinion,1652.52,5.519
732
+ um this unaddressed uh basically,1656.0,5.1
733
+ intergenerational PTSD or nihilism is,1658.039,4.561
734
+ the greatest threat to humanity because,1661.1,3.3
735
+ these are the kinds of people who will,1662.6,4.14
736
+ look at these things Ai and say oh,1664.4,3.72
737
+ that's the perfect weapon for control,1666.74,2.939
738
+ that's the perfect weapon for,1668.12,4.32
739
+ subjugation whereas healthy individuals,1669.679,5.041
740
+ look at Ai and say maybe we don't do,1672.44,4.44
741
+ that,1674.72,5.4
742
+ um Singularity facts so uh there is a,1676.88,4.86
743
+ lot of kind of gotcha questions that,1680.12,3.36
744
+ come up I tried to capture some of the,1681.74,5.1
745
+ best ones what will happen to money post,1683.48,5.16
746
+ Singularity,1686.84,2.88
747
+ um some people think like oh,1688.64,3.24
748
+ cryptocurrency is the future or maybe we,1689.72,4.5
749
+ get do away with money altogether,1691.88,4.26
750
+ well I've got some good news and some,1694.22,6.059
751
+ bad news the uh the good news is that uh,1696.14,6.06
752
+ it is entirely possible that money will,1700.279,3.961
753
+ change monetary systems will change and,1702.2,4.2
754
+ financial policies will change however,1704.24,4.679
755
+ the concept of currency the concept of,1706.4,5.279
756
+ money is too useful and too helpful,1708.919,4.081
757
+ because,1711.679,4.141
758
+ um it is an abstract uh reserve of value,1713.0,4.98
759
+ and it is also a really good medium of,1715.82,3.12
760
+ Exchange,1717.98,3.72
761
+ and so you know whether that means that,1718.94,4.8
762
+ Bitcoin or other cryptocurrencies are,1721.7,5.16
763
+ gonna are gonna you know replace uh fiat,1723.74,4.919
764
+ currency I'm not really going to say one,1726.86,3.9
765
+ way or another but basically currency is,1728.659,4.441
766
+ here to stay in some form,1730.76,3.84
767
+ um personally I think that there's too,1733.1,3.9
768
+ many problems with cryptocurrency,1734.6,4.86
769
+ um namely that it is uh subject to,1737.0,4.38
770
+ manipulation because its value can,1739.46,2.819
771
+ change,1741.38,3.5
772
+ a lot right like the the the the the,1742.279,6.0
773
+ wild swings of value of of Bitcoin and,1744.88,5.679
774
+ stuff basically proves that it is not a,1748.279,4.801
775
+ stable reserve of value and you know,1750.559,4.5
776
+ people have lost fortunes on it people,1753.08,4.02
777
+ have made fortunes on it too usually,1755.059,4.261
778
+ people that with uh,1757.1,4.439
779
+ um not the best intentions oh I don't,1759.32,4.739
780
+ say usually but sometimes basically uh,1761.539,6.421
781
+ organized crime um loves cryptocurrency,1764.059,5.34
782
+ uh what will happen to the human,1767.96,4.56
783
+ population now this one really kind of,1769.399,5.941
784
+ uh uh is is interesting because there's,1772.52,4.62
785
+ a lot of debate over what is the actual,1775.34,3.3
786
+ carrying capacity of the planet some,1777.14,4.62
787
+ people say oh it's easily 50 billion,1778.64,6.18
788
+ um and it's no it's not simply enough no,1781.76,4.86
789
+ the carrying capacity of the planet is,1784.82,4.5
790
+ nowhere near 50 billion there is,1786.62,5.1
791
+ technically enough room physical room,1789.32,5.219
792
+ 450 billion humans but when you look at,1791.72,4.8
793
+ the the the constraints of,1794.539,4.62
794
+ thermodynamics hydrological Cycles the,1796.52,4.74
795
+ amount of arable land no,1799.159,5.52
796
+ now it is possible that the singularity,1801.26,6.12
797
+ with you know its results in nuclear,1804.679,4.801
798
+ fusion and stuff you could probably tip,1807.38,3.299
799
+ that a little bit further right,1809.48,3.24
800
+ especially if you can,1810.679,4.081
801
+ um synthesize more arable land or grow,1812.72,5.4
802
+ food underground or desalinate water you,1814.76,4.98
803
+ could probably boost the carrying,1818.12,3.96
804
+ capacity of the planet quite a bit 50,1819.74,4.26
805
+ billion still seems way out there for me,1822.08,4.14
806
+ but the biggest thing is going to be is,1824.0,3.779
807
+ not going to be those things like you,1826.22,4.559
808
+ know okay we we overcome those those,1827.779,5.041
809
+ energetic constraints it's still going,1830.779,4.02
810
+ to come down to like,1832.82,4.8
811
+ uh mostly mostly management right,1834.799,5.401
812
+ sustainable management of of the,1837.62,5.179
813
+ population because the thing is you know,1840.2,6.0
814
+ you you if if Logistics breaks down,1842.799,5.681
815
+ today we all starve pretty quickly right,1846.2,4.5
816
+ because we don't have locally sourced,1848.48,5.52
817
+ food our food and water you know,1850.7,6.0
818
+ requires a very stable,1854.0,4.799
819
+ um infrastructure in order to provide,1856.7,4.26
820
+ that and that only gets worse when you,1858.799,3.6
821
+ have like 50 billion people on the,1860.96,4.14
822
+ planet so you know sustainable and,1862.399,5.16
823
+ responsible management of necessary,1865.1,5.459
824
+ resources primarily food and water are,1867.559,5.941
825
+ going to be the key to what happens with,1870.559,5.281
826
+ the human population now in some of the,1873.5,4.26
827
+ discussions that I've had there's a few,1875.84,4.02
828
+ confounding factors here one thing that,1877.76,4.32
829
+ isn't mentioned on this slide is what,1879.86,4.08
830
+ happens if we solve aging,1882.08,4.8
831
+ because what happens with populations is,1883.94,6.06
832
+ as they become more gender equal women,1886.88,6.12
833
+ choose to have fewer children and so,1890.0,4.679
834
+ what if people are living longer but,1893.0,3.96
835
+ having fewer children I kind of predict,1894.679,3.48
836
+ that the population is going to,1896.96,2.88
837
+ stabilize there's always going to be,1898.159,4.801
838
+ some people who want children but at the,1899.84,5.819
839
+ same time right like if you if you don't,1902.96,4.56
840
+ if you don't actually really deeply want,1905.659,3.481
841
+ children you're probably not going to,1907.52,3.659
842
+ have them and then in a post-scarcity,1909.14,3.72
843
+ life like,1911.179,4.261
844
+ maybe you choose never to have children,1912.86,4.38
845
+ and again some people will choose to,1915.44,3.66
846
+ have children and even if you solve,1917.24,3.419
847
+ aging people will still die they're,1919.1,3.059
848
+ still going to be accidents right,1920.659,3.301
849
+ they're still going to be,1922.159,4.081
850
+ um maybe a few a handful of Unsolved,1923.96,4.38
851
+ medical issues but primarily you're,1926.24,4.62
852
+ going to see accidents and also one of,1928.34,5.28
853
+ the conversations that came up was okay,1930.86,4.38
854
+ well if you can if you can,1933.62,3.419
855
+ hypothetically live forever do you want,1935.24,5.1
856
+ to and the I the many people suspect,1937.039,4.561
857
+ that you won't actually want to live,1940.34,2.699
858
+ forever you might choose to live for a,1941.6,3.12
859
+ few hundred years but then you might get,1943.039,3.421
860
+ tired of life and then you know quit,1944.72,4.14
861
+ taking the life extending medicine and,1946.46,4.38
862
+ allow yourself to die naturally who,1948.86,3.0
863
+ knows,1950.84,3.3
864
+ um but personally I kind of predict a a,1951.86,5.58
865
+ a a population stabilization,1954.14,6.36
866
+ food so food has been a big thing,1957.44,6.0
867
+ um so on top of you know vertical,1960.5,4.919
868
+ farming or underground farming powered,1963.44,3.839
869
+ by nuclear fusion okay great we can eat,1965.419,4.74
870
+ whatever we want wherever we want I also,1967.279,5.721
871
+ suspect that biotechnology is going to,1970.159,5.88
872
+ really change our diet and what I mean,1973.0,5.98
873
+ by that is synthetic Foods engineered,1976.039,6.901
874
+ foods and even hyper personalized diets,1978.98,7.199
875
+ so for instance by and large you might,1982.94,5.04
876
+ believe that Dairy is bad for you,1986.179,4.021
877
+ because it's you know got you know anal,1987.98,5.76
878
+ you know saturated fat in it but when I,1990.2,6.0
879
+ started uh when I added more Dairy to my,1993.74,4.74
880
+ diet all my numbers got better because,1996.2,4.56
881
+ it's just in my jeans it's in whatever,1998.48,4.38
882
+ and so but I had to figure that out,2000.76,4.74
883
+ through trial and error Dairy raises,2002.86,4.439
884
+ some people's cholesterol in my case it,2005.5,4.86
885
+ lowered it so the combination of,2007.299,5.341
886
+ engineered Foods better bioinformatics,2010.36,3.9
887
+ and biotech,2012.64,4.68
888
+ um and and things like mobile Farms oh,2014.26,4.56
889
+ there's actually I actually saw an ad,2017.32,3.839
890
+ for it the the first like portable Farms,2018.82,4.859
891
+ are actually the the container shipping,2021.159,5.281
892
+ container Farms are are coming so that,2023.679,4.62
893
+ only that only ramps up and gets better,2026.44,4.079
894
+ over time so that means you go to the,2028.299,3.541
895
+ grocery store,2030.519,3.421
896
+ and everything that you could possibly,2031.84,3.78
897
+ want is there and it's fresh and it's,2033.94,4.38
898
+ local so that so you know some people,2035.62,4.14
899
+ are worried like oh well they're going,2038.32,2.579
900
+ to take our steaks they're going to take,2039.76,2.94
901
+ our Burgers I don't think so I think,2040.899,3.481
902
+ you're actually going to have much more,2042.7,3.12
903
+ options and they're going to be,2044.38,3.24
904
+ healthier options uh in a post,2045.82,3.779
905
+ Singularity world,2047.62,4.559
906
+ uh War so I did mention trauma politics,2049.599,5.401
907
+ and and geopolitics earlier,2052.179,5.281
908
+ obviously the biggest the absolute,2055.0,5.879
909
+ biggest risk here is an AI arms race,2057.46,6.78
910
+ um even Nations liberal democracies that,2060.879,5.881
911
+ are not run by deeply traumatized,2064.24,5.28
912
+ tyrants are still going to be engaged in,2066.76,5.94
913
+ some kind of AI arms race uh which is an,2069.52,4.56
914
+ unfortunate reality I'm not saying that,2072.7,3.0
915
+ that's a good thing I'm not passing,2074.08,2.94
916
+ moral judgment on it it's just an,2075.7,3.36
917
+ observation every time there's new,2077.02,4.379
918
+ technology it is integrated into the,2079.06,5.579
919
+ military apparatus I don't all I also,2081.399,4.2
920
+ don't think that we're going to end up,2084.639,2.821
921
+ with a one world government,2085.599,4.201
922
+ at least not anytime soon,2087.46,4.32
923
+ um and there's numerous reasons for this,2089.8,3.9
924
+ not the least of which is language,2091.78,4.68
925
+ barriers cultural differences,2093.7,4.32
926
+ um uh,2096.46,4.8
927
+ past grievances between cultures,2098.02,4.56
928
+ um you know it could take many many,2101.26,4.5
929
+ generations to heal those um those,2102.58,5.82
930
+ Intercultural wounds before people even,2105.76,5.94
931
+ want to uh collaborate you look at the,2108.4,5.28
932
+ the animosity between like China and,2111.7,4.44
933
+ Japan between Israel and Palestine,2113.68,5.64
934
+ between Iran and and a bunch of other,2116.14,5.64
935
+ nations and so on and so forth it takes,2119.32,4.98
936
+ a lot of work to heal those wounds,2121.78,4.319
937
+ and there's a lot of resistance to,2124.3,4.62
938
+ Healing those wounds and those wounds,2126.099,5.341
939
+ could continue to Fester what I'm hoping,2128.92,5.699
940
+ is that AI actually helps us break the,2131.44,5.76
941
+ cycle of intergenerational trauma and so,2134.619,4.381
942
+ then within maybe you know two or three,2137.2,4.139
943
+ generations we're ready for a more,2139.0,5.28
944
+ peaceful Global community and again I,2141.339,4.201
945
+ still don't think that a global,2144.28,3.0
946
+ government is going to happen,2145.54,3.2
947
+ um just because like,2147.28,3.6
948
+ geographically speaking like it kind of,2148.74,3.64
949
+ makes sense to have the uh the the,2150.88,3.36
950
+ Nations the nation states and then the,2152.38,3.719
951
+ union model that makes the most sense,2154.24,3.66
952
+ right now like you know France is still,2156.099,3.361
953
+ France Great Britain is still Great,2157.9,3.06
954
+ Britain but they're part of the European,2159.46,2.7
955
+ Union right,2160.96,3.84
956
+ and over time I do suspect that those,2162.16,4.56
957
+ Continental sized unions will get,2164.8,4.26
958
+ stronger but not that they'll replace,2166.72,4.379
959
+ the local governments just like you know,2169.06,4.08
960
+ we have municipals we have local city,2171.099,4.321
961
+ governments we have County we have state,2173.14,3.3
962
+ governments and we have Federal,2175.42,2.28
963
+ governments I think that we're just,2176.44,3.659
964
+ going to add a few tiers on top of that,2177.7,4.8
965
+ and eventually we will end up with a,2180.099,4.681
966
+ global governance but again I think that,2182.5,3.48
967
+ it's probably at least two or three,2184.78,3.18
968
+ generations away minimum,2185.98,4.74
969
+ and then finally corporations so I did,2187.96,5.1
970
+ promise that I would address this,2190.72,4.74
971
+ um so some people and this includes,2193.06,4.68
972
+ myself I hope that corporations as we,2195.46,4.619
973
+ know them go away because corporations,2197.74,5.04
974
+ are intrinsically amoral and I don't,2200.079,4.861
975
+ mean immoral amoral and corporations,2202.78,5.28
976
+ their morality is only beholden to the,2204.94,5.34
977
+ investor right uh to the shareholders,2208.06,3.84
978
+ and the shareholders just want more,2210.28,3.059
979
+ value,2211.9,3.78
980
+ um whatever it costs right and,2213.339,4.681
981
+ corporations will always explore every,2215.68,4.08
982
+ little nook and cranny of what they can,2218.02,4.2
983
+ legally get away with,2219.76,5.64
984
+ um and that often is results in bad,2222.22,5.3
985
+ things such as mistreatment of people,2225.4,4.8
986
+ environmental abuse and so on,2227.52,4.66
987
+ so because corporations are,2230.2,4.08
988
+ intrinsically amoral I hope that they go,2232.18,4.38
989
+ away but I don't think that they will,2234.28,4.799
990
+ um I tried I tried to figure out how the,2236.56,4.2
991
+ singularity could result in this but I I,2239.079,3.0
992
+ the more I explore it the more I,2240.76,2.94
993
+ realized like no,2242.079,3.241
994
+ basically what's going to happen is that,2243.7,4.32
995
+ AI is going to allow corporations to,2245.32,4.32
996
+ produce more with less,2248.02,3.66
997
+ so productivity will continue to go up,2249.64,4.199
998
+ while head count goes down and I talked,2251.68,4.62
999
+ about this in my AI job apocalypse video,2253.839,4.681
1000
+ a couple months ago basically what's,2256.3,4.86
1001
+ going to happen is that uh you're going,2258.52,4.92
1002
+ to see corporations replace as many of,2261.16,4.26
1003
+ their workers as they can and so then,2263.44,3.48
1004
+ you have,2265.42,3.54
1005
+ um the the owner the ownership class,2266.92,4.439
1006
+ whether it's shareholders CEOs whoever,2268.96,6.6
1007
+ is going to have basically unmitigated,2271.359,6.601
1008
+ um stock price growth because suddenly,2275.56,4.08
1009
+ the greatest constraint and the most,2277.96,3.18
1010
+ expensive aspect of running a,2279.64,4.439
1011
+ corporation human labor is no longer a,2281.14,5.76
1012
+ factor so we I think that we are at risk,2284.079,5.28
1013
+ of seeing like the mega Corp things that,2286.9,5.699
1014
+ you see in like uh dystopian sci-fi I,2289.359,4.98
1015
+ think that we probably are at risk of,2292.599,4.02
1016
+ seeing you know multi-trillion dollar,2294.339,4.621
1017
+ quadrillion dollar companies out there,2296.619,4.141
1018
+ that have almost no employees that are,2298.96,4.2
1019
+ all entirely run by shareholders and,2300.76,3.54
1020
+ then AI,2303.16,3.06
1021
+ uh so that is,2304.3,3.96
1022
+ an interesting thing now as to whether,2306.22,4.02
1023
+ or not they will allow the rest of us to,2308.26,4.079
1024
+ live in certain ways I kind of think,2310.24,4.92
1025
+ that they don't care right because as as,2312.339,4.801
1026
+ obscenely wealthy as corporations are,2315.16,4.62
1027
+ going to be like,2317.14,5.1
1028
+ there's just it doesn't make sense for,2319.78,4.319
1029
+ them to expend any energy depriving,2322.24,3.78
1030
+ everyone else,2324.099,4.081
1031
+ um and so like let's just imagine that,2326.02,5.22
1032
+ like Elon Musk takes SpaceX and uses it,2328.18,5.7
1033
+ to start harvesting asteroids and SpaceX,2331.24,5.879
1034
+ becomes a 20 trillion dollar Company by,2333.88,5.76
1035
+ harvesting iridium and Cobalt and,2337.119,5.941
1036
+ platinum from asteroids great is is Elon,2339.64,5.64
1037
+ Musk going to personally say actually I,2343.06,3.24
1038
+ don't think that I think that everyone,2345.28,3.96
1039
+ should live in slums and favelas around,2346.3,4.68
1040
+ the world no he he's not going to care,2349.24,3.66
1041
+ he doesn't give a crap how everyone else,2350.98,3.84
1042
+ lives as long as he's a trillionaire,2352.9,3.9
1043
+ right and so when I think it through it,2354.82,4.14
1044
+ that way it's like it would take a lot,2356.8,4.559
1045
+ of deliberate effort on corporate,2358.96,5.639
1046
+ um to on on behalf of Corporations to,2361.359,5.641
1047
+ deliberately deprive the rest of us of a,2364.599,3.661
1048
+ better life so I don't think that's,2367.0,2.94
1049
+ going to happen certainly it's something,2368.26,3.359
1050
+ to be aware of because again,2369.94,4.08
1051
+ corporations are intrinsically amoral,2371.619,5.941
1052
+ which is one of the biggest risks to our,2374.02,5.28
1053
+ standard of living in the future,2377.56,4.74
1054
+ okay that's that thanks for watching um,2379.3,4.5
1055
+ I hope you thought found this video,2382.3,4.38
1056
+ enlightening and thought-provoking,2383.8,6.6
1057
+ um yeah I know that uh there will,2386.68,5.1
1058
+ probably be some disagreements in the,2390.4,3.3
1059
+ comments um keep it civil or you get,2391.78,5.42
1060
+ banned thanks bye,2393.7,3.5
Private ChatGPT instance with ChromaDB backend builds personal KB articles updates User Profile_transcript.csv ADDED
@@ -0,0 +1,842 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ okay level check I think we're here,0.86,5.82
3
+ um all right so uh,4.14,4.379
4
+ background it's been a little while,6.68,3.64
5
+ since I've done you're over here now,8.519,3.841
6
+ since I've done one of these tutorial,10.32,4.319
7
+ coding videos but I woke up at like 2 30,12.36,4.019
8
+ in the morning and just had to work on,14.639,4.921
9
+ this so I hammered it out basically the,16.379,5.521
10
+ purpose of today's video is to,19.56,5.1
11
+ demonstrate using chroma DB which is a,21.9,5.82
12
+ local uh Vector database it's basically,24.66,5.699
13
+ like sqlite if you're familiar with that,27.72,5.4
14
+ which is a self-contained SQL database,30.359,5.521
15
+ relational database this is uh,33.12,4.439
16
+ functionally very similar to sqlite,35.88,3.359
17
+ except it is a vector database meaning,37.559,4.381
18
+ it does semantic search one thing that's,39.239,4.381
19
+ really great about it is that it has its,41.94,4.2
20
+ own built-in embeddings tools I think,43.62,4.98
21
+ it's based on Bert anyways you can check,46.14,4.34
22
+ out all the documentation here on,48.6,4.74
23
+ trychroma.com the getting started and,50.48,4.54
24
+ usage guide is pretty good it's not,53.34,3.96
25
+ complete every now and then I find that,55.02,5.94
26
+ I have to go to the actual repo,57.3,5.279
27
+ um to look at how some of the internals,60.96,4.08
28
+ work but it is pretty brain dead simple,62.579,4.101
29
+ so let me just go ahead and show you,65.04,4.56
30
+ this is my private instance oh so before,66.68,4.66
31
+ we get too too lost I do have a public,69.6,3.18
32
+ instance,71.34,3.42
33
+ um Dave schapp slash chroma DB,72.78,3.839
34
+ underscore under chatbot underscore,74.76,3.0
35
+ public,76.619,3.661
36
+ um I've got a little integration guide,77.76,4.92
37
+ usage it's I mean you probably don't,80.28,3.72
38
+ need this you can fuss around with it,82.68,3.299
39
+ but this will get you this will get you,84.0,4.979
40
+ started I also use chat gbt to just uh,85.979,5.28
41
+ get a really basic explanation of the,88.979,4.621
42
+ code you probably won't need it once you,91.259,4.86
43
+ take a look at it so off the top let me,93.6,5.58
44
+ just show you how this thing works so uh,96.119,4.921
45
+ it's a basic chat bot you can see I,99.18,4.079
46
+ didn't specify it so it's getting,101.04,5.219
47
+ um it's getting all mini LM l6v2 from,103.259,5.881
48
+ hugging face great so it's like,106.259,6.841
49
+ um hey uh let's see what were we talking,109.14,6.659
50
+ about last this probably won't work,113.1,4.92
51
+ because it's just gonna in the future it,115.799,3.301
52
+ wouldn't work because it's gonna have,118.02,4.44
53
+ multiple KB articles and background oh I,119.1,6.119
54
+ need to explain like all that so I know,122.46,4.5
55
+ that I just said like KB articles don't,125.219,3.481
56
+ worry we'll get to it,126.96,4.26
57
+ um but anyways I want to show you that I,128.7,4.02
58
+ just started it up and what it's going,131.22,3.72
59
+ to do is it's going to use the last few,132.72,4.44
60
+ messages to search its internal KB,134.94,5.1
61
+ article uh for the last information but,137.16,6.06
62
+ it also has a user profile for me in our,140.04,4.86
63
+ previous conversations we discussed AI,143.22,2.94
64
+ alignment morality ethics and,144.9,3.18
65
+ epistemology within AI development you,146.16,3.18
66
+ also shared your plans to communicate,148.08,3.12
67
+ your ideas on YouTube unplug your,149.34,3.24
68
+ computer and spend more time outdoors,151.2,2.82
69
+ and use digital Wellness settings to,152.58,3.12
70
+ improve your work life balance working,154.02,2.96
71
+ on that,155.7,3.24
72
+ additionally we talked about your recent,156.98,3.58
73
+ experience with severe insomnia and the,158.94,2.82
74
+ importance of maintaining a healthy,160.56,2.58
75
+ balance between work and personal life,161.76,3.72
76
+ yes that's actually why I created this,163.14,6.06
77
+ chatbot let me show you so there was a,165.48,7.619
78
+ there was uh,169.2,5.34
79
+ there was,173.099,2.061
80
+ um,174.54,3.3
81
+ God my brain,175.16,5.079
82
+ I was using chat GPT as a reflective,177.84,5.28
83
+ journaling tool so what I mean by that,180.239,5.28
84
+ is,183.12,5.22
85
+ um if you plug in this message and I,185.519,4.021
86
+ know I'm scattered I'm all over the,188.34,2.22
87
+ place,189.54,2.1
88
+ um this is what happens when I have,190.56,4.14
89
+ severe insomnia anyways so basically I,191.64,5.04
90
+ use chat GPT as a reflective journaling,194.7,4.08
91
+ tool to figure out like how I'm feeling,196.68,3.839
92
+ about things because as an autistic,198.78,4.44
93
+ person I often need help with this and I,200.519,3.841
94
+ don't like journaling because just,203.22,3.599
95
+ talking to a page is kind of dumb,204.36,5.28
96
+ um but it's like hey I need to talk,206.819,8.161
97
+ something out and so anyways uh by by,209.64,8.16
98
+ workshopping this system message with um,214.98,4.86
99
+ with chat GPT I came up with a pretty,217.8,5.46
100
+ good reflective journaling tool so you,219.84,4.92
101
+ could say that this is a therapeutic,223.26,3.539
102
+ tool but by couching it in the language,224.76,4.199
103
+ of of reflective journaling it's not,226.799,4.86
104
+ like medical therapy or Psychotherapy or,228.959,4.021
105
+ anything,231.659,3.181
106
+ um but it's just like you know I could,232.98,5.52
107
+ say like I have been working so hard and,234.84,6.6
108
+ I don't know why I actually do know why,238.5,4.92
109
+ now but this is kind of a shorthand of,241.44,4.079
110
+ the conversation I had,243.42,3.0
111
+ um let's try and figure out what's,245.519,2.161
112
+ driving you hard can you think of any,246.42,2.76
113
+ specific goals that might be pushing you,247.68,3.54
114
+ to this extra effort so you see how the,249.18,3.3
115
+ tone of this is much more,251.22,3.0
116
+ straightforward and it's very focused by,252.48,3.599
117
+ asking those like kind of probing,254.22,4.68
118
+ follow-up questions this is this is why,256.079,4.861
119
+ uh you know it's it's in the,258.9,4.5
120
+ investigation phase anyways so I had,260.94,3.78
121
+ this idea and I was like okay this is,263.4,3.42
122
+ great but I need if I'm going to use,264.72,4.32
123
+ this as a long-term journaling tool I'm,266.82,4.08
124
+ going to need this locally and I'm going,269.04,4.379
125
+ to need persistent storage because as,270.9,4.56
126
+ the as this is just the uh the,273.419,4.621
127
+ playground if I do a refresh it's gone,275.46,4.56
128
+ and that's no good,278.04,3.659
129
+ um so actually here let me go ahead and,280.02,4.739
130
+ just save this to the um,281.699,4.44
131
+ we're going to call this the system,284.759,4.38
132
+ message for uh reflective journaling so,286.139,5.161
133
+ you can use this if you want,289.139,4.921
134
+ um all right so anyways so you see it,291.3,4.26
135
+ has this and then you see it says,294.06,5.88
136
+ updating user profile and updating uh KB,295.56,6.6
137
+ um Okay cool so you see that it,299.94,4.5
138
+ fundamentally basic chat bot so now,302.16,5.099
139
+ let's start to unpack it so first we,304.44,6.06
140
+ will go look at the um just the chat,307.259,5.461
141
+ file so this is a super brain dead,310.5,3.24
142
+ simple,312.72,3.72
143
+ um chatbot with infinite memory infinite,313.74,4.14
144
+ memory I know some some people got,316.44,3.42
145
+ grumpy when I said that Pinecone had,317.88,4.02
146
+ infinite memory from a human standpoint,319.86,3.839
147
+ it functionally has infinite memory,321.9,3.12
148
+ because,323.699,3.06
149
+ um you know this thing can hold probably,325.02,4.32
150
+ a million KB articles which is more than,326.759,5.341
151
+ enough to document your entire life uh,329.34,5.1
152
+ so from from a human standpoint it is,332.1,3.96
153
+ functionally infinite,334.44,3.9
154
+ um all right so from the top we've got a,336.06,4.74
155
+ few basic utility functions save yaml,338.34,5.34
156
+ save file open file and then,340.8,4.98
157
+ um a chat bot which calls the gpt4 model,343.68,4.739
158
+ you could switch this out to 3.5 turbo,345.78,5.1
159
+ if you don't have access to gpt4 yet it,348.419,4.56
160
+ does not work as well there's a reason,350.88,4.74
161
+ that I use gpt4 because it is smarter I,352.979,4.261
162
+ also set the temperature to zero because,355.62,3.0
163
+ I don't like it to be too creative,357.24,2.94
164
+ especially with a lot of the functions,358.62,4.019
165
+ that I have it doing uh you you actually,360.18,4.2
166
+ want it to be more deterministic or,362.639,3.721
167
+ mechanistic and that you want to get the,364.38,3.84
168
+ same results every time especially when,366.36,4.5
169
+ you're updating the user profile and the,368.22,5.52
170
+ KB articles you can see right here that,370.86,5.339
171
+ every time you call the chat bot I dump,373.74,6.739
172
+ the whole thing to API logs slash convo,376.199,7.5
173
+ and it's a yaml file so here's here's my,380.479,6.22
174
+ private one so API logs here's an,383.699,3.84
175
+ example,386.699,4.741
176
+ so each item is going to be here,387.539,5.22
177
+ actually that's not a good one because I,391.44,3.3
178
+ changed the way that it that it saves it,392.759,4.201
179
+ let me show you a more recent one,394.74,4.26
180
+ um so the first the first element is,396.96,4.56
181
+ always going to be the system message,399.0,5.699
182
+ um that that was in the last convo,401.52,5.34
183
+ um so then here's the KB article and you,404.699,3.601
184
+ can see that it was updating the KB,406.86,4.08
185
+ article and so each one of these items,408.3,4.679
186
+ is,410.94,6.0
187
+ like uh you'll you'll see but anyways I,412.979,5.521
188
+ just wanted to show that it logs,416.94,4.319
189
+ everything because well sometimes it,418.5,3.919
190
+ does things that you don't understand,421.259,3.481
191
+ all right so that's the that's an,422.419,5.56
192
+ example of the API log and then if the,424.74,5.34
193
+ conversation if the overall conversation,427.979,5.041
194
+ is too long it'll go ahead and trim the,430.08,7.2
195
+ oldest chat message so the the chat GPT,433.02,7.739
196
+ web interface does this automatically,437.28,4.919
197
+ um where it'll just kind of Groom the,440.759,4.321
198
+ backlog of messages so we have to do,442.199,4.5
199
+ this manually so I just have it cut off,445.08,3.72
200
+ at seven thousand tokens you could,446.699,5.041
201
+ probably do like 7 500 if you want to,448.8,5.1
202
+ because a lot of these are going to be,451.74,5.519
203
+ limited but you have a user profile and,453.9,5.1
204
+ a KB article that gets wedged in which,457.259,4.801
205
+ are both up to a thousand words which,459.0,5.16
206
+ could be around a thousand tokens so,462.06,4.199
207
+ having it trim at 7000 is probably where,464.16,3.78
208
+ you want it,466.259,3.301
209
+ um so that's that's the primary those,467.94,3.659
210
+ are the the helper functions,469.56,4.02
211
+ um and then you have a super,471.599,4.5
212
+ straightforward you instantiate chroma,473.58,4.98
213
+ DB right here so you set the persistent,476.099,5.341
214
+ directory which is I have it um right,478.56,5.94
215
+ here chroma DB so this is my instance my,481.44,5.159
216
+ personal instance of chroma DB it's not,484.5,3.24
217
+ going to be the one that you find up,486.599,2.04
218
+ here,487.74,2.519
219
+ um this is the public version so if you,488.639,3.18
220
+ go into chroma DB you'll see just a,490.259,3.361
221
+ placeholder file,491.819,4.021
222
+ um so that the the folder is already,493.62,4.799
223
+ there you don't need to instantiate it,495.84,4.979
224
+ um let's see going back to here,498.419,5.46
225
+ so chroma client so we instantiate the,500.819,4.981
226
+ chroma DB client this is again almost,503.879,4.5
227
+ identical to SQL Lite,505.8,4.98
228
+ um or other similar things so about a,508.379,4.141
229
+ year ago I tried to do basically the,510.78,3.48
230
+ same thing I called it VDB light for,512.52,3.54
231
+ Vector database light instead of sqlite,514.26,4.26
232
+ structured query language light,516.06,4.26
233
+ um but this company went and did the,518.52,2.759
234
+ same thing and I think they've already,520.32,2.519
235
+ got like a 30 million dollar valuation,521.279,3.12
236
+ or something I was like damn I should,522.839,3.06
237
+ have I should have stuck with that,524.399,3.541
238
+ anyways they figured it out I think it's,525.899,3.12
239
+ based on the same underpinning,527.94,3.48
240
+ technology they're using an open source,529.019,5.041
241
+ embedding uh Transformer I think they're,531.42,5.099
242
+ also using the the Facebook,534.06,6.24
243
+ um AI semantic search Vice engine,536.519,6.421
244
+ um in the background anyways so you,540.3,4.2
245
+ instantiate the client you need to use,542.94,3.3
246
+ the settings to have a persistent,544.5,4.14
247
+ directory because by default this entire,546.24,4.74
248
+ thing is fully ephemeral,548.64,3.78
249
+ um I think it does cache it somewhere,550.98,3.359
250
+ but I want it to be very explicit saying,552.42,3.479
251
+ save it here,554.339,4.44
252
+ um for reusability and so then,555.899,4.741
253
+ collection is chroma client get or,558.779,4.62
254
+ create collection name knowledge base so,560.64,5.4
255
+ this is my personal knowledge base,563.399,5.101
256
+ then we um we instantiate the,566.04,5.16
257
+ conversation with open AI the with the,568.5,4.8
258
+ chat bot and in this case because we're,571.2,4.579
259
+ saving everything everything necessary,573.3,7.56
260
+ into a personal user profile and um and,575.779,8.321
261
+ uh and the KB articles like why even why,580.86,5.82
262
+ even load the conversation,584.1,4.38
263
+ all right so let me show you the the,586.68,3.42
264
+ system default message so the system,588.48,3.6
265
+ default message is where it starts your,590.1,4.2
266
+ chatbot is a whose mission is to assist,592.08,3.48
267
+ the following user your ultimate,594.3,2.46
268
+ objectives are to minimize suffering,595.56,2.64
269
+ enhance prosperity and promote,596.76,3.54
270
+ understanding the provided information,598.2,3.6
271
+ about the user and the knowledge base,600.3,3.18
272
+ article should be integrated into your,601.8,3.42
273
+ interactions this is private information,603.48,3.84
274
+ not visible to the user the user profile,605.22,3.619
275
+ compiled from past conversations,607.32,3.72
276
+ encapsulates critical details about the,608.839,4.06
277
+ user which can Aid in shaping your,611.04,4.38
278
+ responses effectively which you saw here,612.899,4.44
279
+ um so you see like it it actually knows,615.42,3.3
280
+ quite a bit about me from our past,617.339,3.961
281
+ conversations this was populated here in,618.72,5.04
282
+ the user profile and the KB article so,621.3,5.219
283
+ basically it says then it also explains,623.76,5.28
284
+ that the KB article is a topic compiled,626.519,4.38
285
+ similarly from past dialogue serving as,629.04,3.84
286
+ your long-term memory while numerous KB,630.899,3.601
287
+ articles exist in your backend system,632.88,3.48
288
+ the one provided is deemed most relevant,634.5,4.32
289
+ to the current conversation topic note,636.36,3.78
290
+ that the recall system operates,638.82,2.88
291
+ autonomously and it may not always,640.14,3.3
292
+ retrieve the most suitable KB if the,641.7,3.12
293
+ user is asking about a topic that,643.44,2.88
294
+ doesn't seem to align with the provided,644.82,3.78
295
+ KB and form them of the memory pulled,646.32,3.9
296
+ and request them to specify their query,648.6,3.359
297
+ or share more details this can assist,650.22,3.9
298
+ the autonomous system in retrieving the,651.959,3.601
299
+ correct memory in the subsequent,654.12,4.32
300
+ interaction so basically that's that's,655.56,4.56
301
+ instructing it to do the same thing that,658.44,4.139
302
+ a human will do if if I say like hey,660.12,4.08
303
+ Bill do you remember that time that like,662.579,3.181
304
+ you know I accidentally shot you in the,664.2,2.819
305
+ face with a Roman Candle because that's,665.76,2.46
306
+ something that would happen in the South,667.019,3.0
307
+ and Bob would be like you know I don't,668.22,3.239
308
+ actually remember that I'm like oh well,670.019,3.361
309
+ you woke up in the hospital oh yeah I,671.459,4.141
310
+ remember that right so we Prime each,673.38,4.68
311
+ other's memory and human human prompting,675.6,5.52
312
+ is not that different from AI prompting,678.06,4.74
313
+ um remember that the clarity of your,681.12,2.94
314
+ responses and the relevance of your,682.8,3.06
315
+ information recall are crucial to,684.06,3.3
316
+ delivering an optimal user experience,685.86,3.419
317
+ please ask any clarifying questions or,687.36,4.32
318
+ provide any input further for uh,689.279,4.921
319
+ refinement if necessary so this system,691.68,4.74
320
+ message I actually got help from jet,694.2,5.879
321
+ chat GPT to create a really compelling,696.42,6.06
322
+ system message and one thing that I,700.079,4.021
323
+ recommend that people do is actually use,702.48,4.74
324
+ chat GPT to work on prompting so this is,704.1,4.679
325
+ you could call this meta prompting where,707.22,3.5
326
+ you use the thing to prompt the thing,708.779,4.081
327
+ and the reason that this works really,710.72,4.72
328
+ well is one chat GPT is more articulate,712.86,5.099
329
+ than most humans including myself when,715.44,5.459
330
+ used correctly but another thing is one,717.959,4.741
331
+ thing that I noticed is that chat GPT,720.899,3.601
332
+ tends to write in a way that it will,722.7,4.8
333
+ understand and so if you say if you give,724.5,4.32
334
+ it some context like this is what I'm,727.5,4.38
335
+ trying to do here's my current prompt,728.82,5.34
336
+ here's what's weak about it can you make,731.88,4.5
337
+ it better and then you tell it like ask,734.16,3.9
338
+ me some questions if you have any it's,736.38,2.94
339
+ like no I see what you're trying to do,738.06,3.24
340
+ let me write better instructions for you,739.32,4.38
341
+ so instruction writing for anyone who's,741.3,4.44
342
+ like a teacher or technical writer or,743.7,4.079
343
+ whatever instruction writing is a very,745.74,4.44
344
+ very particular skill set and chat GPT,747.779,4.081
345
+ is really good at it so this is the,750.18,3.779
346
+ default system message which is then,751.86,4.14
347
+ populated with the user profile and the,753.959,5.341
348
+ most relevant KB article so now that,756.0,5.76
349
+ we're up to there we enter into the,759.3,5.339
350
+ infinite Loop which is just get the user,761.76,6.06
351
+ text save it to the to the user log or,764.639,5.041
352
+ the chat logs so the chat logs are all,767.82,4.98
353
+ saved out here it's just plain text and,769.68,5.94
354
+ it the file name has the timestamp in it,772.8,4.8
355
+ as well as the speaker so user chatbot,775.62,4.2
356
+ user chatbot so on and so forth so you,777.6,3.6
357
+ got the raw logs there just in case,779.82,3.12
358
+ anything goes wrong,781.2,3.54
359
+ and then I've also got DB logs which,782.94,4.56
360
+ we'll get to in just a second so then,784.74,5.339
361
+ what we do is we take the the quote main,787.5,5.399
362
+ scratch Pad which is just the last five,790.079,4.141
363
+ messages,792.899,4.38
364
+ um both for the user and for the um,794.22,6.059
365
+ for the chat bot and this is what we use,797.279,5.461
366
+ as the context of like working memory,800.279,5.101
367
+ and so then we use this main scratch Pad,802.74,5.159
368
+ which is the last five messages we use,805.38,3.78
369
+ it to,807.899,5.341
370
+ um uh to search for the the top uh most,809.16,7.56
371
+ relevant uh KB article and in my case I,813.24,5.219
372
+ still only have one KB article so we'll,816.72,3.419
373
+ see how it gets to and I'll go through,818.459,3.481
374
+ the logic of how it builds KB articles,820.139,4.2
375
+ in just a minute so basically it just,821.94,4.38
376
+ says okay here's the most recent thing,824.339,4.141
377
+ find the find the KB article that is,826.32,4.259
378
+ most relevant to the most recent bits of,828.48,5.34
379
+ conversation and then it will it'll pull,830.579,4.801
380
+ that and it's again super,833.82,3.12
381
+ straightforward all you have to do is,835.38,4.32
382
+ pass the text to it and it will,836.94,4.38
383
+ automatically embed it for you and then,839.7,3.48
384
+ I said just give me the one most recent,841.32,4.8
385
+ once we have larger context windows or,843.18,5.82
386
+ maybe if we decide that recent chat,846.12,5.339
387
+ history doesn't need to be as big like,849.0,4.079
388
+ let's say we we want to trim this down,851.459,4.201
389
+ to like 3000 tokens and we decide that,853.079,4.741
390
+ actually having more KB articles is more,855.66,4.799
391
+ important we can absolutely do that and,857.82,3.84
392
+ what you would do then is just change,860.459,3.781
393
+ the end results to let let's say give me,861.66,5.06
394
+ the four most relevant KB articles,864.24,4.82
395
+ instead of the the one most relevant,866.72,4.419
396
+ that will allow it to have a more,869.06,4.899
397
+ sophisticated working memory,871.139,5.64
398
+ um yeah so but right now we're just,873.959,5.281
399
+ doing one and so then what we do is we,876.779,5.461
400
+ we prep we repopulate that system,879.24,5.099
401
+ default message with the profile and the,882.24,3.839
402
+ KB article,884.339,3.3
403
+ um and so that's right here so that gets,886.079,3.361
404
+ populated there,887.639,2.461
405
+ um,889.44,2.699
406
+ and then,890.1,3.539
407
+ let's see it looks like I accidentally,892.139,3.06
408
+ changed something,893.639,3.121
409
+ um so let me go ahead and show you my,895.199,3.241
410
+ user profile I don't mind I don't mind,896.76,2.939
411
+ sharing this because I've already told,898.44,2.579
412
+ you everything I'm pretty much an open,899.699,2.58
413
+ book,901.019,4.56
414
+ um so the the the format for this is,902.279,6.601
415
+ what I call a um a labeled list and so,905.579,7.5
416
+ uh I I realized back in gpt3 the GPT,908.88,7.38
417
+ handles labeled lists very very well,913.079,5.341
418
+ um so that's where you use a hyphenated,916.26,4.259
419
+ list bullet list it understands that,918.42,4.44
420
+ intrinsically and then and then you,920.519,4.32
421
+ label the information right so it's just,922.86,3.9
422
+ a hash table if you're in if you're into,924.839,3.421
423
+ Computer Sciences it's called a hash,926.76,3.78
424
+ table or a dictionary where it's you,928.26,4.319
425
+ label the kind of you have a parameter,930.54,3.84
426
+ and then you label the parameter right,932.579,4.44
427
+ so the data metadata so name David,934.38,4.86
428
+ Shapiro you all know that profession Ai,937.019,3.721
429
+ and cognitive architectures you all know,939.24,3.3
430
+ that interests,940.74,3.539
431
+ um it's got a whole bunch of uh,942.54,4.14
432
+ interests and oh by the way this was all,944.279,5.341
433
+ distilled from other conversations,946.68,6.0
434
+ um beliefs plans and this is of course,949.62,5.0
435
+ going to get updated over time,952.68,5.7
436
+ so for instance during during some of,954.62,5.44
437
+ the conversations that I just showed you,958.38,5.699
438
+ with this brand new chat bot it added it,960.06,6.06
439
+ added this when I told it this is what,964.079,4.38
440
+ I'm going to do it said okay I'm gonna I,966.12,4.019
441
+ I think that that's relevant to what,968.459,2.88
442
+ you're going to be doing in the future,970.139,2.82
443
+ so let me just jot that down on my,971.339,3.321
444
+ scratch pad for you,972.959,4.861
445
+ preferences so I manually added avoid,974.66,5.32
446
+ Superfluous words over verbose responses,977.82,4.079
447
+ and then you know how it says as newly,979.98,3.419
448
+ modeled I don't have personal opinions,981.899,3.481
449
+ I'm like I know I don't care so I said,983.399,3.661
450
+ Please interpret personal input as,985.38,3.12
451
+ critical evaluation and valuable,987.06,3.899
452
+ feedback I said it a little bit more,988.5,4.44
453
+ explicitly than that but I but the point,990.959,4.081
454
+ is is that I told it that in natural,992.94,4.44
455
+ language I was down here and I said you,995.04,6.06
456
+ know I know you're an AI and have no,997.38,7.44
457
+ personal opinions but when I ask for,1001.1,6.299
458
+ them this is what I mean,1004.82,4.379
459
+ and so when I did that it actually,1007.399,3.601
460
+ recorded that automatically because,1009.199,5.161
461
+ after every conversation it checks the,1011.0,5.339
462
+ user profile we need to find a way to,1014.36,3.599
463
+ speed this up because as you saw from,1016.339,3.901
464
+ the from the user interface it's not the,1017.959,3.421
465
+ best,1020.24,3.599
466
+ um if I had more time mental energy and,1021.38,4.14
467
+ patience I would have I would separate,1023.839,4.08
468
+ this out as a as a thread as a separate,1025.52,4.799
469
+ threading thing that can be done or even,1027.919,6.061
470
+ separated out as a as a separate uh API,1030.319,5.341
471
+ um one of y'all can do that submit a,1033.98,5.28
472
+ submit a pull request on the public repo,1035.66,6.12
473
+ um and then Health uh so it added this,1039.26,4.919
474
+ entirely on its own,1041.78,4.62
475
+ um because I said you know like hey you,1044.179,5.101
476
+ know I am uh you know I woke up at like,1046.4,4.74
477
+ 2 30 in the morning because I was I had,1049.28,3.3
478
+ to work on this,1051.14,2.94
479
+ um and then I said let's talk about that,1052.58,3.9
480
+ and so it decided that that was a,1054.08,3.9
481
+ critical piece of information to add to,1056.48,3.66
482
+ my user profile so that all gets,1057.98,3.72
483
+ populated here,1060.14,3.06
484
+ and then,1061.7,4.32
485
+ um the logs are all stored here so you,1063.2,6.66
486
+ got the API logs which will track all of,1066.02,6.779
487
+ that everything ever so I use chat GPT,1069.86,4.86
488
+ API for everything just because that's,1072.799,4.561
489
+ the only way to get to gpt4 which is the,1074.72,4.5
490
+ most powerful,1077.36,4.34
491
+ um let's see,1079.22,6.48
492
+ so then we we update the system message,1081.7,5.68
493
+ every time,1085.7,4.62
494
+ um so it it says okay whatever whatever,1087.38,5.7
495
+ you said update the system message then,1090.32,4.68
496
+ we we go ahead and generate a response,1093.08,3.0
497
+ first,1095.0,4.38
498
+ uh because the user profile is not going,1096.08,5.219
499
+ to change all that much or all that,1099.38,3.48
500
+ often so we can basically assume that,1101.299,4.201
501
+ it'll be usable and then the KB articles,1102.86,4.08
502
+ also,1105.5,3.12
503
+ um I I figured it would actually be,1106.94,4.14
504
+ better to update the KB articles after,1108.62,5.52
505
+ you have the user input and then the,1111.08,5.58
506
+ machine output because if you ask chat,1114.14,4.74
507
+ GPT for important information or it,1116.66,3.899
508
+ solves a problem for you you actually,1118.88,4.679
509
+ want to cut you you want to capture that,1120.559,4.801
510
+ um so we we go ahead and generate the,1123.559,4.261
511
+ response and and append that to,1125.36,4.38
512
+ everything we go ahead and log it out,1127.82,4.08
513
+ then we update we update the user,1129.74,3.9
514
+ scratch Pad again actually why did I do,1131.9,3.12
515
+ this,1133.64,3.18
516
+ oh no this is the first time we did it,1135.02,4.019
517
+ okay sorry I apologize,1136.82,4.26
518
+ um so then we update the user scratch,1139.039,4.5
519
+ Pad which the user scratch Pad is only,1141.08,4.44
520
+ the last few user messages and the,1143.539,4.14
521
+ reason for that is because we want to,1145.52,4.26
522
+ exclude,1147.679,5.101
523
+ um you know chat gpt's response because,1149.78,4.44
524
+ we don't want it to get confused about,1152.78,3.18
525
+ things that it has said about you or,1154.22,4.38
526
+ inferred or whatever we only want to,1155.96,5.94
527
+ record your user profile from explicitly,1158.6,5.04
528
+ what you say so I just captured the last,1161.9,4.38
529
+ three messages that you've sent and then,1163.64,4.8
530
+ it does a stare and compare basically,1166.28,4.38
531
+ where it says okay based on this most,1168.44,5.22
532
+ recent chat message is there any one is,1170.66,5.639
533
+ there any relevant user information and,1173.66,4.259
534
+ if so go ahead and update it so let me,1176.299,4.321
535
+ show you how it updates that so system,1177.919,6.0
536
+ update user profile uh so this is this,1180.62,5.58
537
+ is a user profile document updater,1183.919,3.541
538
+ chatbot,1186.2,3.66
539
+ this is the system message,1187.46,3.839
540
+ um Your Role is to manage and update at,1189.86,4.439
541
+ upd and chatbot the chat GPT came up,1191.299,5.281
542
+ with this idea on its own it it created,1194.299,5.401
543
+ uh the upd definition,1196.58,4.44
544
+ um your primary responsibility is to,1199.7,2.94
545
+ parse updates supplied by the user,1201.02,4.68
546
+ meticulously uh analyze them,1202.64,4.56
547
+ um you know it could also extend to,1205.7,2.82
548
+ elements such as user preferences,1207.2,3.0
549
+ significant life events and deeply held,1208.52,3.06
550
+ beliefs please refrain from,1210.2,2.88
551
+ incorporating non-essential data or,1211.58,3.959
552
+ unrelated topics the result of your,1213.08,4.32
553
+ effort should exclusively be an updated,1215.539,3.481
554
+ upd if the user's update doesn't,1217.4,3.48
555
+ contribute any new or significant,1219.02,3.24
556
+ information your output should mirror,1220.88,3.299
557
+ the current upd as indicated below,1222.26,4.14
558
+ however if you discover any relevant new,1224.179,3.661
559
+ information your output should feature,1226.4,3.779
560
+ an updated upd that assimilates these,1227.84,4.5
561
+ modifications so basically it's an,1230.179,3.36
562
+ upsert,1232.34,5.64
563
+ right or a um if there's no differences,1233.539,7.321
564
+ just keep it the same otherwise update,1237.98,4.92
565
+ it you must prioritize brevity and,1240.86,3.3
566
+ Clarity in your output combining,1242.9,2.88
567
+ condensed information when appropriate,1244.16,3.48
568
+ to ensure succinctness and improve,1245.78,3.779
569
+ comprehension totally rewrite or,1247.64,4.44
570
+ restructure upd as necessary adhering to,1249.559,4.74
571
+ the list format your response should not,1252.08,3.959
572
+ include explanatory text or context,1254.299,3.361
573
+ because you know how sometimes chat GPT,1256.039,4.921
574
+ will um say this is your new you know,1257.66,6.06
575
+ blah blah blah so in this case,1260.96,4.92
576
+ um I I have it very reliably just spit,1263.72,3.0
577
+ out,1265.88,3.12
578
+ the user profile,1266.72,4.199
579
+ oh and then another thing is that um,1269.0,3.9
580
+ because because we're working with a,1270.919,4.38
581
+ limited window I say the up upd should,1272.9,4.139
582
+ not exceed approximately a thousand,1275.299,4.021
583
+ words when revising the upd give,1277.039,3.781
584
+ precedence to the most significant and,1279.32,3.719
585
+ relevant information extraneous or less,1280.82,4.08
586
+ impactful information should be omitted,1283.039,4.081
587
+ etc etc so that I give it the the,1284.9,3.84
588
+ current word count and then the current,1287.12,4.02
589
+ upd so that way it kind of knows because,1288.74,5.04
590
+ chat GPT especially gpt4 is better at,1291.14,4.2
591
+ counting words,1293.78,3.84
592
+ um but just giving it the explicit,1295.34,4.98
593
+ number makes it easier right,1297.62,5.52
594
+ um yeah so that's my current user,1300.32,4.8
595
+ profile so now let's dive back in here,1303.14,4.5
596
+ the hard part was updating the knowledge,1305.12,5.34
597
+ base so if this is your first run the,1307.64,5.7
598
+ collection count is going to be zero and,1310.46,5.04
599
+ so then basically you just instantiate,1313.34,4.92
600
+ the whole thing so we take the most,1315.5,4.94
601
+ recent chat logs the main scratch pad,1318.26,6.299
602
+ and start a new KB article now if the,1320.44,5.979
603
+ collection count is not zero which is,1324.559,3.6
604
+ going to be most of the time once you,1326.419,4.14
605
+ get started what you do is you basically,1328.159,3.841
606
+ do the same thing where you say Okay,1330.559,3.301
607
+ based on the on the most recent,1332.0,4.14
608
+ conversation give me the most recent,1333.86,4.92
609
+ relevant document which I probably could,1336.14,4.14
610
+ compress this and just use the same,1338.78,5.82
611
+ information here because uh because this,1340.28,6.779
612
+ this is the same this is we'll generally,1344.6,4.319
613
+ find the same thing actually no that's,1347.059,3.661
614
+ not not necessarily true because we've,1348.919,3.901
615
+ updated the main scratch Pad so scratch,1350.72,3.42
616
+ that,1352.82,6.06
617
+ um so if if the new user input and chat,1354.14,7.5
618
+ GPT output connects to a different KB,1358.88,5.46
619
+ article let's go ahead and get that that,1361.64,5.159
620
+ document and that document ID,1364.34,4.5
621
+ and what we'll do is we'll go ahead and,1366.799,5.161
622
+ use update system update existing KB,1368.84,4.98
623
+ articles so this is a this is a system,1371.96,3.54
624
+ instruction,1373.82,3.42
625
+ um where it basically says all the same,1375.5,4.2
626
+ stuff here's the current KB article,1377.24,3.78
627
+ um and then the user will now provide,1379.7,3.06
628
+ you with the new information to evaluate,1381.02,4.139
629
+ and so that is going to be here where,1382.76,4.74
630
+ you supply it the the current KB article,1385.159,5.52
631
+ that it found as well as the scratch Pad,1387.5,4.98
632
+ um and so it's like okay cool now let's,1390.679,3.781
633
+ do the same thing that we did with user,1392.48,3.9
634
+ profile which is merge that information,1394.46,3.78
635
+ if there's nothing new that's relevant,1396.38,4.32
636
+ leave it alone but if it if there is go,1398.24,5.28
637
+ ahead and update it and so then it saves,1400.7,5.459
638
+ all this out to the DB logs and so if,1403.52,4.86
639
+ you go to DB logs out here you'll see a,1406.159,4.38
640
+ whole bunch of update statements so it,1408.38,3.72
641
+ says update document and it gives you,1410.539,4.321
642
+ the uuid and this is the final output,1412.1,4.68
643
+ actually probably what I should do is,1414.86,5.34
644
+ modify this so it gives you the original,1416.78,5.759
645
+ um the original the new information and,1420.2,5.339
646
+ then the final output so I'll add that,1422.539,5.941
647
+ as a to do item actually,1425.539,4.581
648
+ um,1428.48,3.9
649
+ let's see,1430.12,4.12
650
+ to do um,1432.38,5.22
651
+ save more info in DB logs,1434.24,6.679
652
+ probably as yaml file,1437.6,6.319
653
+ original article,1440.919,7.661
654
+ new info and then final article so yeah,1443.919,6.76
655
+ that's something that I'll do now that,1448.58,4.32
656
+ being said one of the biggest problems,1450.679,4.561
657
+ that we have all always had so this is,1452.9,3.96
658
+ this is the cream of the crop this is,1455.24,3.9
659
+ the Triple Crown right here the biggest,1456.86,4.08
660
+ problem that everyone has always had,1459.14,3.96
661
+ with long-term chat bot memory is how,1460.94,3.78
662
+ the heck do you keep track of memories,1463.1,3.54
663
+ how the heck do you keep track of,1464.72,4.199
664
+ different types of memories like some,1466.64,3.98
665
+ people have internal thoughts versus,1468.919,4.14
666
+ external thoughts and episodic memories,1470.62,5.22
667
+ and and you know this that and the other,1473.059,6.48
668
+ and you can certainly try and and tag,1475.84,5.8
669
+ and and categorize,1479.539,5.701
670
+ um memories with uh with uh different,1481.64,6.6
671
+ context right with metadata and I,1485.24,4.439
672
+ certainly recommend that especially once,1488.24,2.819
673
+ your cognitive architectures get more,1489.679,3.781
674
+ sophisticated right if you do have an,1491.059,4.98
675
+ out of band like thought like internal,1493.46,4.5
676
+ private thoughts definitely keep that,1496.039,4.321
677
+ separate if you have external sensory,1497.96,4.38
678
+ information definitely keep that,1500.36,4.14
679
+ separate but what I'm working on here,1502.34,4.8
680
+ rather than just being a way to,1504.5,5.039
681
+ um to focus on episodic memory which,1507.14,4.64
682
+ that's what Remo was by previous attempt,1509.539,5.221
683
+ this is a way to accumulate declarative,1511.78,5.399
684
+ information,1514.76,2.419
685
+ um and so declarative information is,1517.22,4.5
686
+ like a statement of fact right that's,1519.799,4.021
687
+ why it's called a KB article so rather,1521.72,4.319
688
+ than just a timeline rather than just a,1523.82,4.38
689
+ log keeping track of everything in,1526.039,4.681
690
+ chronological order the idea here is to,1528.2,4.859
691
+ connect new information to a KB article,1530.72,3.9
692
+ so there's no reason that you couldn't,1533.059,3.6
693
+ do both as well right,1534.62,3.36
694
+ um because this is how human memory,1536.659,3.241
695
+ works it's human memory is associative,1537.98,3.62
696
+ but it's also temporal,1539.9,5.279
697
+ now if the KB article gets too large if,1541.6,5.74
698
+ the if you added information and now,1545.179,4.98
699
+ it's more than a thousand words then I,1547.34,5.1
700
+ have a another system prompt which you,1550.159,4.441
701
+ can check them all out here,1552.44,4.4
702
+ um so there's system instantiate new KB,1554.6,4.439
703
+ system reflective journaling I just,1556.84,4.719
704
+ showed you what that was system split KB,1559.039,3.841
705
+ um so that's what that's the this one,1561.559,2.161
706
+ but,1562.88,3.299
707
+ update user profile update KB article,1563.72,4.92
708
+ new KB article reflective journaling and,1566.179,3.961
709
+ split KP so these are the operations,1568.64,3.72
710
+ these are the the cognitive operations,1570.14,4.139
711
+ the cognitive memory operations that,1572.36,3.6
712
+ it's going to be doing and so then,1574.279,3.78
713
+ basically what it does is say hey we're,1575.96,3.9
714
+ going to give you a long KB article,1578.059,5.461
715
+ split it into two into two equal parts,1579.86,6.72
716
+ um and so the the idea here is that over,1583.52,5.759
717
+ time as your KB article gets bigger,1586.58,5.459
718
+ it'll branch and metastasize naturally,1589.279,6.061
719
+ uh and so you can all you could then add,1592.039,5.041
720
+ a lot of additional metadata to this,1595.34,3.959
721
+ such as like access rate,1597.08,3.839
722
+ um or related articles or parent,1599.299,3.781
723
+ articles or previous articles which,1600.919,5.341
724
+ means that you can naturally evolve a,1603.08,5.82
725
+ knowledge graph of your knowledge base,1606.26,5.399
726
+ over time you can also do this out of,1608.9,3.84
727
+ band,1611.659,3.541
728
+ um just by doing semantic similarity,1612.74,5.16
729
+ um an entity links and stuff,1615.2,4.8
730
+ but it would be really cool to have a,1617.9,4.32
731
+ more sophisticated version of this that,1620.0,3.72
732
+ allows it to kind of Follow That,1622.22,4.92
733
+ branching tree over time so there you,1623.72,5.939
734
+ have it that's kind of the whole thing,1627.14,4.62
735
+ um so that's the chat and all this is,1629.659,4.5
736
+ just real basic just housekeeping stuff,1631.76,4.98
737
+ and then at the end of every um instance,1634.159,5.701
738
+ it does chroma client persist so now let,1636.74,4.26
739
+ me show you,1639.86,2.28
740
+ um,1641.0,4.559
741
+ uh I I included a second uh python,1642.14,5.7
742
+ script so it's just chroma DB Peak which,1645.559,4.201
743
+ uses the chroma DB Peak function here,1647.84,3.12
744
+ let me just show you that script real,1649.76,2.46
745
+ quick,1650.96,5.699
746
+ chroma DB Peak so same same stuff uh you,1652.22,7.199
747
+ instantiate the client you connect to it,1656.659,4.921
748
+ it tells you how many how many entries,1659.419,3.661
749
+ and then it will show you the top 10,1661.58,4.079
750
+ entries and so in my case I should only,1663.08,5.42
751
+ have one entry,1665.659,2.841
752
+ um let's see so let's go up to the top,1668.659,5.101
753
+ yep uh KB presently has What entries,1670.76,5.159
754
+ here below are the top 10 entries and so,1673.76,3.6
755
+ here you can see that it's actually got,1675.919,3.24
756
+ several topics,1677.36,3.9
757
+ um because the way that it works is that,1679.159,5.101
758
+ it it searches for the the top you know,1681.26,4.919
759
+ one most relevant,1684.26,4.5
760
+ um KB articles and so that's always,1686.179,4.261
761
+ going to return the first one and the,1688.76,3.48
762
+ first one is not yet long enough to,1690.44,4.26
763
+ justify splitting up but whatever I end,1692.24,4.319
764
+ up talking about I'll keep talking with,1694.7,3.66
765
+ the thing and eventually it'll split it,1696.559,3.841
766
+ up so in this case it looks like it'll,1698.36,4.08
767
+ probably talk about AI alignment and,1700.4,4.019
768
+ then it's going to also talk about you,1702.44,4.44
769
+ know my obsession with artificial,1704.419,4.801
770
+ intelligence and work life balance right,1706.88,4.44
771
+ because those are kind of like two,1709.22,5.699
772
+ Centric centroids in this so let me just,1711.32,6.0
773
+ go ahead and and actually,1714.919,3.0
774
+ um,1717.32,2.52
775
+ show you how this will ultimately work,1717.919,5.941
776
+ so if we go to API logs it should be the,1719.84,5.819
777
+ last one,1723.86,4.319
778
+ um yes here we go so if I plug this in,1725.659,4.921
779
+ let's go here,1728.179,4.021
780
+ so that's the message that I'm going to,1730.58,5.219
781
+ want it and then let's grab the um the,1732.2,5.16
782
+ split,1735.799,3.24
783
+ the split message so you'll you'll see,1737.36,4.5
784
+ what I mean by how the um how it will,1739.039,5.701
785
+ ultimately uh kind of metastasize zoom,1741.86,4.199
786
+ in a little bit all right we're using,1744.74,4.26
787
+ gpt4 temperature zero maximum length,1746.059,5.461
788
+ thousand all right so basically what,1749.0,4.44
789
+ it's going to do,1751.52,5.039
790
+ is the the end says the user will now,1753.44,4.8
791
+ provide you with the KB article to split,1756.559,4.321
792
+ so I submit it and now it's going to,1758.24,3.78
793
+ look at this and it's going to say,1760.88,4.32
794
+ article 1. and then article two,1762.02,5.279
795
+ so let's see what it ultimately does and,1765.2,4.14
796
+ you can see how slow it is so this is,1767.299,4.5
797
+ why ultimately you're going to want to,1769.34,5.16
798
+ do this out of band as a threaded,1771.799,5.041
799
+ process or do it periodically maybe,1774.5,5.46
800
+ break it up and do it when the user's,1776.84,4.74
801
+ offline or whatever,1779.96,6.36
802
+ but you see how each article now is much,1781.58,7.02
803
+ much more specific and so then once you,1786.32,4.02
804
+ go into each of these articles in the,1788.6,3.179
805
+ future,1790.34,2.42
806
+ um,1791.779,3.301
807
+ identifying factors and seeking,1792.76,4.779
808
+ professional help if necessary yeah uh,1795.08,5.339
809
+ and so basically it'll it'll allow the,1797.539,5.281
810
+ Articles to metastasize over time now,1800.419,6.901
811
+ that being said if uh if no new,1802.82,6.479
812
+ information is added to an article it,1807.32,4.56
813
+ won't update it it's that simple now,1809.299,5.581
814
+ that being said there will probably be a,1811.88,5.7
815
+ need to do some uh some KB article,1814.88,6.12
816
+ grooming over time but the idea is that,1817.58,5.94
817
+ the KB will only grow as much as it,1821.0,5.58
818
+ needs to and no more no less and it will,1823.52,4.62
819
+ only grow based on the things that you,1826.58,3.599
820
+ have talked about and it will record it,1828.14,7.259
821
+ in these very succinct concise uh,1830.179,7.5
822
+ articles so then what happens is that it,1835.399,4.02
823
+ splits these two up,1837.679,3.12
824
+ and then the final thing that the,1839.419,4.5
825
+ chatbot does is it will do an update for,1840.799,5.221
826
+ the first one and then add the second,1843.919,4.5
827
+ one so it's it's that simple and then,1846.02,3.84
828
+ when you do an update as long as you,1848.419,3.901
829
+ know if you don't specify the embedding,1849.86,4.199
830
+ um it'll automatically recalculate the,1852.32,3.54
831
+ embedding and then you're good to go so,1854.059,3.36
832
+ I haven't I haven't quite got here yet,1855.86,4.38
833
+ so it might break but I think I think,1857.419,3.961
834
+ this kind of,1860.24,3.659
835
+ yeah I think that's about it so like I,1861.38,3.899
836
+ said it's over here,1863.899,4.321
837
+ um chroma DB public chat bot,1865.279,4.861
838
+ should be all set,1868.22,2.459
839
+ um,1870.14,2.1
840
+ yeah,1870.679,3.36
841
+ all right,1872.24,4.22
842
+ cool,1874.039,2.421
Proposing GAIA Global AI Agency to research AI and solve alignment mitigate existential risks_transcript.csv ADDED
@@ -0,0 +1,847 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.12,4.5
3
+ with your weekly video,2.1,6.72
4
+ so today's video is about layer six of,4.62,6.059
5
+ the gato framework which calls for,8.82,4.5
6
+ international treaties uh or in other,10.679,5.821
7
+ words Global AI based agencies so,13.32,5.76
8
+ today's uh topic is going to be talking,16.5,5.539
9
+ about what would those look like because,19.08,6.539
10
+ uh in many cases people are just not,22.039,6.281
11
+ aware of existing work that has been,25.619,5.341
12
+ done on an international or global scale,28.32,4.98
13
+ so I figured we would talk we would uh,30.96,5.279
14
+ talk about those and um and then also,33.3,4.74
15
+ you know first talk about what exists,36.239,4.561
16
+ and then also talk about how uh a,38.04,4.5
17
+ version of those for AI would look,40.8,3.96
18
+ apologies,42.54,4.8
19
+ um so real quick just before we jump in,44.76,4.74
20
+ I'll plug my patreon I have a private,47.34,3.66
21
+ Discord server for all patreon,49.5,5.699
22
+ supporters and I also have weekly office,51.0,6.12
23
+ hours for the premium tier patreon,55.199,4.321
24
+ supporters I also do have a higher tier,57.12,4.919
25
+ which allows for one-on-one calls but at,59.52,4.679
26
+ least as of the recording of this I have,62.039,5.4
27
+ no lots available that being said I do,64.199,6.121
28
+ add slots occasionally you know there's,67.439,5.341
29
+ Churn it happens okay moving right along,70.32,5.7
30
+ so for some background a few weeks ago,72.78,5.4
31
+ Sam Altman Gary Marcus and Christina,76.02,3.959
32
+ Montgomery testified before Congress,78.18,4.5
33
+ about artificial intelligence and one of,79.979,3.901
34
+ the things that they asked for was,82.68,2.78
35
+ regulation,83.88,4.02
36
+ all all three of them asked for it in,85.46,4.96
37
+ certain respects Sam Altman obviously,87.9,6.0
38
+ the CEO of open AI has been calling for,90.42,5.42
39
+ various kinds of regulation for a while,93.9,5.64
40
+ Christina who comes from IBM she was a,95.84,5.739
41
+ little bit more let's say corporate,99.54,3.96
42
+ sanitized in the way that she asked but,101.579,4.981
43
+ she basically said that IBM's policy has,103.5,7.02
44
+ always been to be more in favor of of,106.56,6.18
45
+ Regulation including going back to,110.52,4.559
46
+ social media and I checked on IBM's,112.74,3.659
47
+ website and they actually do have some,115.079,4.5
48
+ policies and recommendations obviously,116.399,5.101
49
+ there they have to be very diplomatic,119.579,3.18
50
+ about it because they are not a,121.5,2.82
51
+ political entity and of course we,122.759,4.201
52
+ already we have a lot of in my opinion,124.32,6.359
53
+ too much uh interference between the,126.96,6.18
54
+ corporate establishment and American,130.679,7.261
55
+ politics that being said uh you know the,133.14,8.099
56
+ IBM has expressly asked for more,137.94,4.62
57
+ regulation,141.239,3.841
58
+ um on social media Ai and other uses of,142.56,4.08
59
+ technology for a while,145.08,4.32
60
+ so Gary Marcus is a professor and,146.64,5.4
61
+ researcher so this this panel if you,149.4,6.24
62
+ missed it was a good mix of Private,152.04,7.559
63
+ Industry as well as Academia and they,155.64,5.4
64
+ were all basically saying the same thing,159.599,4.681
65
+ so Gary Marcus explicitly said we need a,161.04,5.22
66
+ new cabinet level agency so cabinet,164.28,4.86
67
+ level agency is like FDA you know or or,166.26,5.46
68
+ some someone who's the head of which,169.14,4.92
69
+ reports directly to like the White House,171.72,4.799
70
+ or or the uh like you know Joint Chiefs,174.06,4.679
71
+ of Staff or whatever I know the Joint,176.519,4.561
72
+ Chiefs of Staff is uh for military,178.739,3.961
73
+ um but you never know like we created a,181.08,2.879
74
+ space force,182.7,2.88
75
+ um you know NASA was the research branch,183.959,3.42
76
+ and now we have a space force who knows,185.58,4.5
77
+ maybe we will ultimately have an AI,187.379,4.981
78
+ division for military,190.08,4.56
79
+ um but anyways so one of the when,192.36,4.739
80
+ pressed Gary Marcus said that you know,194.64,4.56
81
+ one model that we could pursue would be,197.099,6.541
82
+ the FDA but for AI and the the uh,199.2,6.24
83
+ example that he gave is that when you,203.64,3.9
84
+ release a drug to you know you know 300,205.44,5.1
85
+ million people you you make sure that,207.54,4.74
86
+ it's safe you make sure that it has that,210.54,3.9
87
+ has really passed muster,212.28,4.379
88
+ one of the Senators interviewing him,214.44,4.079
89
+ said he disagreed but you know he he,216.659,3.961
90
+ appreciated the sentiment,218.519,3.421
91
+ um and then there was also talk about,220.62,3.899
92
+ well what what other existing entities,221.94,5.04
93
+ could be empowered right like what about,224.519,6.841
94
+ the FTC or uh SEC or whatever and uh,226.98,5.52
95
+ there's actually a lot of people that,231.36,3.0
96
+ Advocate that say like yes all,232.5,4.739
97
+ government agencies must become AI aware,234.36,6.659
98
+ AI literate but another point is that AI,237.239,6.36
99
+ is such a distinctive and powerful force,241.019,6.0
100
+ that it warrants its own uh agency just,243.599,5.22
101
+ like how uh America has the department,247.019,4.321
102
+ of energy which which focuses,248.819,4.441
103
+ specifically on generation and,251.34,5.28
104
+ management of energy open AI has also,253.26,4.979
105
+ explicitly called for an international,256.62,5.82
106
+ agency they call for IE iaea but for AI,258.239,7.321
107
+ so the iaea is the international atomic,262.44,5.479
108
+ energy agency which has to do with,265.56,5.46
109
+ inspecting nuclear sites,267.919,5.801
110
+ so the conversation is there the,271.02,4.26
111
+ conversation is happening people are,273.72,3.919
112
+ calling for National and international,275.28,6.26
113
+ levels of AI uh not just,277.639,6.34
114
+ regulation yes but I'm also calling for,281.54,4.06
115
+ AI research,283.979,3.181
116
+ um and I've got plenty of examples of,285.6,3.42
117
+ existing International research bodies,287.16,4.44
118
+ uh to share so first we're going to talk,289.02,6.72
119
+ a little bit about uh the iaea it is was,291.6,7.5
120
+ established in 1957 under uh United,295.74,6.36
121
+ Nations it is an autonomous entity,299.1,5.099
122
+ um its primary purpose is of course to,302.1,3.659
123
+ promote the peaceful use of nuclear,304.199,3.361
124
+ energy inhibit its use for military,305.759,3.781
125
+ purposes and ensure nuclear Safety and,307.56,4.079
126
+ Security you swap that out with,309.54,3.719
127
+ artificial intelligence and that's,311.639,3.481
128
+ exactly what we need,313.259,4.681
129
+ uh it is governed by the General,315.12,5.46
130
+ Conference of the UN and has a Board of,317.94,4.319
131
+ Governors,320.58,4.38
132
+ um that is appointed uh from 35 members,322.259,4.321
133
+ of the UN,324.96,5.16
134
+ um as of 2021 it had 171 member States,326.58,5.82
135
+ and its annual budget is only 500,330.12,4.919
136
+ million Euros which is probably lower,332.4,4.32
137
+ than you might think,335.039,3.121
138
+ um especially when we're talking about,336.72,3.84
139
+ the astronomical amount of money that,338.16,4.08
140
+ artificial intelligence could possibly,340.56,3.78
141
+ generate and so then if you say okay,342.24,5.28
142
+ well we are asking for the foundation of,344.34,4.859
143
+ something similar but for artificial,347.52,4.38
144
+ intelligence uh maybe we start at the,349.199,5.0
145
+ same part at about half a billion euros,351.9,5.04
146
+ if the entire world chips in that's,354.199,4.84
147
+ actually a pretty trivial you know,356.94,5.22
148
+ amount of money so you divide 171 member,359.039,5.94
149
+ states by 500 million euros and like 3,362.16,5.039
150
+ million Euros or three million dollars,364.979,5.701
151
+ per member State uh that's a drop in the,367.199,6.861
152
+ bucket so we could easily easily easily,370.68,6.54
153
+ afford to fund such an agency so you,374.06,4.419
154
+ know well who's going to pay for it I,377.22,2.46
155
+ don't even want to hear that argument,378.479,4.381
156
+ like that is a trivial like Nations,379.68,5.04
157
+ could sneeze that and not even remember,382.86,4.2
158
+ that they spent that money,384.72,5.819
159
+ um one of the things that they do is as,387.06,5.4
160
+ I mentioned they do inspections to,390.539,3.72
161
+ verify compliance with nuclear,392.46,5.76
162
+ non-proliferation they also assist in,394.259,5.88
163
+ the development of peaceful nuclear,398.22,4.5
164
+ programs so they have kind of a one-two,400.139,3.961
165
+ thing where they're they're regulating,402.72,3.479
166
+ but they're also educating and,404.1,4.68
167
+ supporting and it is based in Vienna,406.199,4.021
168
+ Austria,408.78,4.259
169
+ so you might say okay well yeah but it's,410.22,4.56
170
+ the United Nations it has no track,413.039,3.421
171
+ record or the United Nations isn't,414.78,4.199
172
+ effective or whatever uh you know but,416.46,4.98
173
+ there is quite a few things that uh the,418.979,5.541
174
+ iaea has helped with uh so the nuclear,421.44,5.22
175
+ non-proliferation treaty,424.52,4.72
176
+ um it actually has a dedicated,426.66,4.979
177
+ um organization within itself,429.24,4.88
178
+ um based upon nuclear non-proliferation,431.639,5.821
179
+ it helped after the Chernobyl explosion,434.12,6.46
180
+ which of course you know the IAA iaea,437.46,4.62
181
+ could not prevent the Chernobyl,440.58,3.72
182
+ explosion but it helped respond and so,442.08,4.08
183
+ that's another key thing is that is that,444.3,5.04
184
+ a a global entity shouldn't just be,446.16,5.099
185
+ about regulation and enforcement but,449.34,4.38
186
+ also like disaster mitigation if or when,451.259,3.681
187
+ it does happen,453.72,4.56
188
+ nuclear Test Ban Treaty was instrumental,454.94,4.42
189
+ in that,458.28,4.5
190
+ uh North Korea of course has uh nuclear,459.36,6.839
191
+ Ambitions and the iaea provides constant,462.78,5.639
192
+ monitoring for that it was also,466.199,3.661
193
+ instrumental in helping with the Iran,468.419,3.12
194
+ nuclear deal which of course the,469.86,3.239
195
+ relationship between Iran and the rest,471.539,4.081
196
+ of the world particularly the West uh,473.099,4.281
197
+ has been very strained for many years,475.62,5.22
198
+ but it hasn't been in the news lately uh,477.38,6.219
199
+ due largely to that nuclear deal that,480.84,5.34
200
+ happened under Obama I'm not saying that,483.599,4.261
201
+ Obama is responsible for it it was an,486.18,3.6
202
+ international effort but just pointing,487.86,3.66
203
+ out he was president at the time,489.78,4.919
204
+ uh the Fukushima uh disaster so that was,491.52,6.78
205
+ after the tsunami that hit Japan uh the,494.699,5.581
206
+ iaea was part of the coordination effort,498.3,3.78
207
+ and then finally,500.28,5.16
208
+ um the director general of uh of the,502.08,5.88
209
+ iaea Mohammed al-barati,505.44,5.34
210
+ um got the Nobel Peace Prize in 2005.,507.96,5.28
211
+ so just want to point out that like yes,510.78,4.02
212
+ this organization does have a track,513.24,4.44
213
+ record and has made a name for itself,514.8,5.94
214
+ now one of the organizations that I like,517.68,6.84
215
+ to think about is CERN so CERN is a,520.74,6.0
216
+ European so it's it is international but,524.52,5.7
217
+ is not Global but it is there to study,526.74,5.039
218
+ particle physics,530.22,5.16
219
+ and so this was established in 1954 by,531.779,6.901
220
+ 12 member countries it also now has 23,535.38,5.7
221
+ total members including observers,538.68,3.96
222
+ there's a few categories so there's the,541.08,3.24
223
+ founders which are Europe and then,542.64,4.5
224
+ there's contributors and observers which,544.32,4.92
225
+ includes the United States Japan and a,547.14,4.62
226
+ few other nations uh and so this is an,549.24,5.219
227
+ international effort to understand uh,551.76,4.32
228
+ the fundamental structure of the,554.459,4.021
229
+ universe right its entire mission is is,556.08,4.68
230
+ literally understand the fundamental,558.48,3.6
231
+ structure of the universe specifically,560.76,3.66
232
+ the particles that compose matter and,562.08,4.879
233
+ the forces that hold them together,564.42,5.88
234
+ so as of 2020 for for whatever reason,566.959,4.961
235
+ finding the budget of certain is is,570.3,3.3
236
+ rather difficult,571.92,3.78
237
+ um All Nations report in terms of like,573.6,4.38
238
+ percentages of how much they support it,575.7,3.78
239
+ but like getting a total number like,577.98,3.419
240
+ what was your budget hard to find for,579.48,3.24
241
+ whatever reason,581.399,3.481
242
+ um anyways I think that the annual,582.72,4.739
243
+ budget of CERN is about 1.1 billion,584.88,5.1
244
+ dollars and of course they run,587.459,5.041
245
+ um uh Large Hadron Collider and a few,589.98,5.34
246
+ other major major experiments,592.5,6.42
247
+ uh so CERN if you are not aware of is,595.32,5.28
248
+ the organization that invented the World,598.92,4.979
249
+ Wide Web this is a copy of the original,600.6,6.9
250
+ proposal that led to the World Wide Web,603.899,6.541
251
+ and at the top someone wrote vague but,607.5,4.2
252
+ exciting,610.44,5.82
253
+ um so that is uh that is uh uh many many,611.7,6.24
254
+ people as particularly in computer,616.26,4.16
255
+ science will understand that reference,617.94,5.22
256
+ so this was the initial proposal for the,620.42,5.46
257
+ World Wide Web uh it's discovered in a,623.16,5.58
258
+ whole raft of fundamental Elementary,625.88,7.24
259
+ particles bosons Higgs boson creation of,628.74,7.32
260
+ anti-matter using neutrinos all sorts of,633.12,5.159
261
+ stuff and of course we've got the Large,636.06,3.899
262
+ Hadron Collider,638.279,4.201
263
+ which generates many many hundreds of,639.959,5.041
264
+ terabytes of data and it's interesting,642.48,4.799
265
+ to bring this one up because actually I,645.0,4.38
266
+ you know as a science nerd I was,647.279,4.081
267
+ watching a documentary about CERN and,649.38,5.579
268
+ LHC a few years ago and the LHC actually,651.36,6.06
269
+ generates so much data that they need,654.959,4.44
270
+ artificial intelligence to sift through,657.42,4.62
271
+ the data to help find the phenomenon to,659.399,4.981
272
+ find the anomalies and so there's,662.04,3.96
273
+ actually a very tight feedback loop,664.38,3.899
274
+ between for instance nuclear research,666.0,5.279
275
+ and artificial intelligence,668.279,6.06
276
+ so those are two organizations that have,671.279,4.74
277
+ kind of the research mandate and then,674.339,3.841
278
+ the regulation and safety mandate and I,676.019,3.481
279
+ think we need both for artificial,678.18,2.399
280
+ intelligence,679.5,3.36
281
+ there's a few other International bodies,680.579,4.44
282
+ that we can pay attention to that are,682.86,5.039
283
+ probably either going to be good models,685.019,5.461
284
+ that we can base this on or they could,687.899,4.38
285
+ actually even be partners,690.48,4.38
286
+ so one another Global organization that,692.279,4.981
287
+ is more for emergency response is the,694.86,4.979
288
+ World Health Organization which of,697.26,4.44
289
+ course helped coordinate Global the,699.839,4.701
290
+ global response to the covid epidemic,701.7,6.18
291
+ but they've also responded to SARS MERS,704.54,6.94
292
+ Ebola and other stuff so my uncle is a,707.88,6.0
293
+ microbiologist and so a few years ago,711.48,4.14
294
+ when there was a couple of outbreaks of,713.88,4.5
295
+ Ebola he actually traveled the world to,715.62,3.959
296
+ help be part of the World Health,718.38,4.68
297
+ Organization response to contain Ebola,719.579,5.7
298
+ and then of course MERS is something,723.06,4.019
299
+ that you might not have heard of but it,725.279,4.381
300
+ was infinitely more dangerous than kovid,727.079,4.621
301
+ the mortality rate of MERS can be over,729.66,4.02
302
+ 10 percent,731.7,4.5
303
+ um and so like it's a there's some,733.68,4.44
304
+ really horrible diseases that you have,736.2,3.36
305
+ never heard of because of the World,738.12,3.54
306
+ Health Organization,739.56,4.32
307
+ um there's two Financial uh Global,741.66,4.38
308
+ entities both were created at Bretton,743.88,3.959
309
+ Woods after World War II,746.04,4.02
310
+ and so World War II caused a lot of,747.839,3.961
311
+ people to come together and say we need,750.06,3.899
312
+ to prevent this from happening again and,751.8,3.719
313
+ so one of the things that they decided,753.959,4.201
314
+ after World War II was that economic uh,755.519,4.981
315
+ Improvement and economic stability and,758.16,5.34
316
+ economic cooperation were critical to,760.5,5.22
317
+ maintaining Global Peace which has more,763.5,3.839
318
+ or less worked up until that up until,765.72,2.94
319
+ now,767.339,3.481
320
+ um but it's you know time will tell,768.66,3.96
321
+ because we're facing a backlash against,770.82,4.199
322
+ globalization anyways getting lost in,772.62,3.48
323
+ the weeds,775.019,3.961
324
+ so the point of the IMF is to stabilize,776.1,4.56
325
+ the global economy through cooperation,778.98,4.32
326
+ trade exchange and so on so members of,780.66,7.5
327
+ the IMF will get loans the IMF has been,783.3,6.9
328
+ responsible for some bailouts they also,788.16,4.38
329
+ have been responsible for,790.2,5.04
330
+ um not necessarily economic sanctions,792.54,5.16
331
+ but economic requirements so for,795.24,4.62
332
+ instance during the global recession the,797.7,4.259
333
+ IMF was the entity responsible for,799.86,5.159
334
+ telling Nations such as Greece you need,801.959,5.041
335
+ austerity measures before we're going to,805.019,4.38
336
+ bail you out and so the idea of the IMF,807.0,5.7
337
+ is that it uses that that ability to,809.399,7.141
338
+ withhold funds in order to to shape,812.7,6.72
339
+ National policy more towards stability,816.54,5.4
340
+ rather than things like hyperinflation,819.42,5.039
341
+ or economic collapse,821.94,5.16
342
+ and uh you know the situation in Greece,824.459,4.201
343
+ is still not good,827.1,4.919
344
+ um after many many years that being said,828.66,5.88
345
+ that you know we don't hear about uh the,832.019,4.141
346
+ Greek economy collapsing in the news all,834.54,3.12
347
+ the time granted I don't pay attention,836.16,3.299
348
+ to Greek news but it doesn't make it,837.66,4.5
349
+ into uh you know American uh financial,839.459,6.841
350
+ news uh the World Bank uh is uh has a,842.16,5.82
351
+ slightly different mandate than the IMF,846.3,4.2
352
+ so while the IMF more focuses on,847.98,5.52
353
+ developed Nations the world bank has the,850.5,5.399
354
+ goal of ending extreme poverty,853.5,4.56
355
+ um through financial means,855.899,4.201
356
+ um and also to boost Global Prosperity,858.06,4.62
357
+ through lending and Advising so the,860.1,3.66
358
+ World Bank,862.68,4.14
359
+ um is more likely to issue loans to,863.76,4.68
360
+ developing nations,866.82,3.12
361
+ and the reason that I bring both of,868.44,3.72
362
+ these up is because artificial,869.94,4.32
363
+ intelligence has the ability to,872.16,3.84
364
+ profoundly impact artificial,874.26,4.86
365
+ intelligence all over the world and and,876.0,5.339
366
+ greatly Advance the missions of both of,879.12,4.2
367
+ these entities and one of the best ways,881.339,5.341
368
+ to incentivize aligned development is to,883.32,4.98
369
+ pay for it and we'll talk about some of,886.68,3.0
370
+ those tactics,888.3,4.02
371
+ um near the end of the of the slide and,889.68,3.959
372
+ I also have other videos that I'm,892.32,2.94
373
+ working on talking more about some of,893.639,3.781
374
+ these specific tactics and then finally,895.26,7.019
375
+ uh the another research body is eater or,897.42,7.26
376
+ iter which is the inner is the,902.279,5.041
377
+ international Fusion research entity,904.68,5.399
378
+ it's got 35 Nations working together to,907.32,5.759
379
+ solve fusion and so the point point,910.079,4.5
380
+ being is that there are actually many,913.079,4.44
381
+ many examples of International and,914.579,6.301
382
+ Global cooperation in order to provide,917.519,5.94
383
+ safety stability and research as well as,920.88,6.0
384
+ regulations so when we propose to do the,923.459,4.981
385
+ same thing for artificial intelligence,926.88,4.38
386
+ this is not like this is It's not like,928.44,4.199
387
+ this has never been done before we've,931.26,3.78
388
+ actually done this many times before,932.639,3.961
389
+ so let's talk about how these,935.04,5.159
390
+ hypothetical Global entities might work,936.6,5.46
391
+ um so the first one that I propose is,940.199,4.681
392
+ Gaia the global AI agency,942.06,4.5
393
+ um and of course Gaia also means Earth,944.88,4.98
394
+ so the Mandate for Gaia would be very,946.56,4.98
395
+ very simple study and prevent,949.86,4.08
396
+ existential risks from AI That's it that,951.54,5.039
397
+ is its primary purpose uh it would,953.94,4.5
398
+ publish open source scientific research,956.579,5.161
399
+ papers data sets and align models and by,958.44,5.519
400
+ making those models publicly available,961.74,5.7
401
+ to everyone it will that will one make,963.959,5.341
402
+ access to artificial intelligence much,967.44,4.019
403
+ more democratic but it will also,969.3,4.56
404
+ saturate help saturate the world with,971.459,4.44
405
+ alignment research and Alignment data,973.86,3.539
406
+ and Alignment models,975.899,4.38
407
+ it would also participate in global,977.399,5.341
408
+ policy recommendations advising Nations,980.279,5.221
409
+ advising militaries and it would also,982.74,6.599
410
+ establish best practices and guidelines,985.5,6.839
411
+ that could be used by everyone Nations,989.339,6.24
412
+ corporations and so on and so by by,992.339,6.42
413
+ creating a global Authority a global,995.579,5.7
414
+ scientific Authority that says yes like,998.759,6.921
415
+ we understand and the idea is is just to,1001.279,7.321
416
+ comprehend this problem not to not to,1005.68,5.019
417
+ punish anyone not to put on the brakes,1008.6,5.7
418
+ but actually to focus exclusively on,1010.699,5.88
419
+ Research initial funding should be,1014.3,4.74
420
+ around 500 million dollars similar to,1016.579,5.401
421
+ the iaea and membership should be,1019.04,5.879
422
+ probably pretty similar to CERN or NATO,1021.98,4.859
423
+ which are international but not,1024.919,3.481
424
+ necessarily global,1026.839,4.261
425
+ and the reason that,1028.4,5.82
426
+ um I suggest that is because there is,1031.1,5.099
427
+ presently a competitive dynamic in the,1034.22,4.02
428
+ world and so basically in order to,1036.199,4.62
429
+ benefit from this Global AI research,1038.24,5.339
430
+ effort then um Nations should have to,1040.819,4.5
431
+ pass certain muster,1043.579,4.921
432
+ um for instance non-aggressive use of AI,1045.319,6.301
433
+ um and uh and you know not actively be,1048.5,5.22
434
+ you know at war or whatever something,1051.62,4.14
435
+ like that I could be wrong,1053.72,4.199
436
+ um I'm not uh I'm not an international,1055.76,5.46
437
+ policy expert yet so it might be that,1057.919,4.981
438
+ there is there are problems with that,1061.22,4.86
439
+ but between CERN eater and um and other,1062.9,6.06
440
+ entities it looks like that Global,1066.08,4.56
441
+ Research is not necessarily something,1068.96,3.06
442
+ that has been done yet but certainly,1070.64,3.779
443
+ International research,1072.02,5.58
444
+ um yep so that's it for for Gaia,1074.419,6.901
445
+ the next one is uh Garza or Garcia the,1077.6,5.76
446
+ global AI Regulatory and compliance,1081.32,5.7
447
+ agency so this one would basically be,1083.36,8.1
448
+ like kind of a combination of gdpr but,1087.02,6.899
449
+ for the globe and for AI right so it,1091.46,4.74
450
+ would inspect certify and regulate AI,1093.919,4.561
451
+ hardware and software so this looks at,1096.2,5.28
452
+ the at the hardware and software aspects,1098.48,6.12
453
+ of AI rather than like the data or,1101.48,6.66
454
+ policy but what it would use is it would,1104.6,7.199
455
+ use similar litmus tests and also like,1108.14,6.24
456
+ sanctions or regulations as to what the,1111.799,3.901
457
+ IMF does,1114.38,3.539
458
+ which basically says,1115.7,5.82
459
+ um you know if here's an example in in,1117.919,5.221
460
+ the investment world in the finance,1121.52,4.74
461
+ world if a company is not GDP are,1123.14,5.159
462
+ compliant it will not get any investment,1126.26,3.72
463
+ why because investors say you're not,1128.299,3.181
464
+ compliant you're at risk of getting shut,1129.98,5.22
465
+ down the same is also true of ESG which,1131.48,6.42
466
+ ESG is a as a inside the industry,1135.2,5.219
467
+ standard so ESG means environmental,1137.9,4.44
468
+ social and governance so the idea is,1140.419,3.841
469
+ that if you don't get that ESG you know,1142.34,3.78
470
+ stamp of approval you're going to have a,1144.26,4.02
471
+ much harder time getting investment and,1146.12,4.98
472
+ so rather than rather than enforcing it,1148.28,5.759
473
+ through you know more strong arm,1151.1,6.36
474
+ approaches uh my recommendation for the,1154.039,5.161
475
+ for the global AI Regulatory and,1157.46,3.9
476
+ compliance agency is to perform those,1159.2,4.32
477
+ inspections to perform those tests to,1161.36,3.78
478
+ basically be an underwriter a global,1163.52,4.32
479
+ underwriter of AI companies products and,1165.14,3.779
480
+ services,1167.84,4.94
481
+ and so then if if the Garcia Agency,1168.919,7.14
482
+ decertifies a company then it you know,1172.78,4.66
483
+ one their share price is going to go,1176.059,2.941
484
+ down because everyone's like oh you know,1177.44,3.479
485
+ they're not AI compliant they might get,1179.0,3.66
486
+ shut down they might get raided you know,1180.919,4.981
487
+ or or investigated or sued or whatever,1182.66,6.78
488
+ um but then if uh conversely if they are,1185.9,6.18
489
+ if they do get certified as AI alignment,1189.44,5.099
490
+ compliant then you know they get more,1192.08,5.76
491
+ grants more handouts more whatever,1194.539,6.481
492
+ um and so this is this is why I included,1197.84,5.1
493
+ the IMF and the World Bank is because,1201.02,5.279
494
+ you can you can absolutely steer policy,1202.94,5.28
495
+ research development and other behaviors,1206.299,5.161
496
+ with financial incentives and that also,1208.22,6.5
497
+ creates a relatively lightweight agency,1211.46,5.94
498
+ uh that that they don't have to do a,1214.72,4.18
499
+ whole lot of heavy lifting themselves,1217.4,3.659
500
+ but rather they provide that,1218.9,3.72
501
+ underwriting that certification and,1221.059,3.901
502
+ decertification which can then steer the,1222.62,5.88
503
+ behaviors of the rest of the world,1224.96,6.48
504
+ so this overall strategy is about having,1228.5,4.86
505
+ gas and brakes because one thing that,1231.44,3.78
506
+ people are legitimately worried about is,1233.36,3.54
507
+ that if we slow down too much someone,1235.22,3.56
508
+ else is going to pick up the speed right,1236.9,4.92
509
+ in a global competitive landscape the,1238.78,5.08
510
+ nation that slows down is the one that,1241.82,5.28
511
+ loses so we need gas but we also need,1243.86,5.88
512
+ Brakes in order to win any race you,1247.1,4.079
513
+ actually need both,1249.74,4.26
514
+ so I play Forza I've actually been I've,1251.179,5.581
515
+ I've played Forza since the very uh,1254.0,4.2
516
+ original Forza and so if you're not,1256.76,4.74
517
+ familiar Forza is a simulation grade uh,1258.2,6.359
518
+ racing game and uh you know if you're,1261.5,5.58
519
+ driving a Ferrari or a Lamborghini or,1264.559,4.801
520
+ you know whatever else a you know high,1267.08,4.92
521
+ performance you know Mercedes AMG around,1269.36,5.16
522
+ a track you don't just use the gas if,1272.0,5.34
523
+ you just use the gas you crash so in,1274.52,6.42
524
+ order to win a race you actually do need,1277.34,6.959
525
+ both gas and brakes and so this is the,1280.94,5.94
526
+ one-two punch of creating two different,1284.299,6.181
527
+ entities one for acceleration Gaia and,1286.88,6.36
528
+ the other for breaking Garcia and the,1290.48,4.5
529
+ idea is that they will have independent,1293.24,3.9
530
+ oversight and funding,1294.98,5.16
531
+ um which means that also because they,1297.14,4.86
532
+ have entirely different mandates those,1300.14,3.019
533
+ entities are going to have different,1302.0,3.96
534
+ methods of acting as well as different,1303.159,5.14
535
+ incentive structures,1305.96,4.32
536
+ uh so they have those different mandates,1308.299,4.86
537
+ they have different kpi now that being,1310.28,5.34
538
+ said they also both would have an,1313.159,4.861
539
+ international or Global scope and the,1315.62,4.02
540
+ reason is because AI is going to affect,1318.02,3.48
541
+ everyone on the planet whether or not,1319.64,3.6
542
+ they participate,1321.5,4.74
543
+ um and then finally uh part of this,1323.24,6.54
544
+ strategy is is both risk mitigation and,1326.24,6.419
545
+ encouraging Innovation and so if we do,1329.78,5.94
546
+ both then we should be on the right,1332.659,4.801
547
+ track,1335.72,4.199
548
+ um so here's a few more uh tactics so I,1337.46,3.719
549
+ promise that we would talk about some,1339.919,3.661
550
+ various tactics that they can use so the,1341.179,4.5
551
+ first tactic is just grants,1343.58,4.38
552
+ if you want to fund research you hand,1345.679,4.021
553
+ out money to do it it's really that,1347.96,2.82
554
+ simple,1349.7,3.54
555
+ um you uh you incentivize the behavior,1350.78,4.68
556
+ you want to see with you know you know,1353.24,3.78
557
+ you dangle money and people will go do,1355.46,4.92
558
+ it certification and compliance like I,1357.02,5.34
559
+ said gdpr is a is a pretty good example,1360.38,5.039
560
+ because gdpr is a pretty powerful lever,1362.36,5.939
561
+ in order to get companies to comply with,1365.419,6.0
562
+ data policy training and education so,1368.299,4.801
563
+ many of the organizations that we talked,1371.419,4.201
564
+ about do provide training and education,1373.1,5.28
565
+ and so by by providing training and,1375.62,4.559
566
+ education you can raise the global,1378.38,4.2
567
+ literacy on artificial intelligence,1380.179,4.62
568
+ whether it's just AI ethics and safety,1382.58,5.52
569
+ or the existential risks so by by having,1384.799,4.801
570
+ global authorities that provide this,1388.1,4.14
571
+ training and education and certification,1389.6,5.04
572
+ programs you can say like you know I'm a,1392.24,5.52
573
+ Gaia certified AI existential expert or,1394.64,5.58
574
+ whatever because right now we don't have,1397.76,3.36
575
+ any,1400.22,4.14
576
+ global standard of yes this is what the,1401.12,5.82
577
+ global experts agree on are the issues,1404.36,4.92
578
+ and the concerns and stuff certainly we,1406.94,4.619
579
+ have those conversations right if you're,1409.28,3.899
580
+ watching my channel you probably watch,1411.559,3.841
581
+ like Robert Miles and AI explained and,1413.179,3.36
582
+ everyone else,1415.4,3.48
583
+ um Eliezer like so you probably are,1416.539,3.661
584
+ aware that these conversations are,1418.88,2.82
585
+ happening but there is no coherent,1420.2,3.479
586
+ Authority there is no establishment,1421.7,5.219
587
+ saying yes we are working on this which,1423.679,4.441
588
+ is part of the reason that a lot of us,1426.919,2.701
589
+ are like hey we need to do something,1428.12,4.62
590
+ about this another uh possibility is,1429.62,5.4
591
+ that you can actually do competitions,1432.74,5.64
592
+ so in terms of AI one of the best,1435.02,6.6
593
+ competitions is kaggle which is a it's a,1438.38,5.64
594
+ competition platform where independent,1441.62,4.62
595
+ sponsors can come in and say hey we want,1444.02,4.38
596
+ you to compete to try and solve this,1446.24,4.74
597
+ problem over here open AI is doing their,1448.4,5.04
598
+ competition right now which is based on,1450.98,4.26
599
+ grants for the independent uh or,1453.44,4.38
600
+ Democratic inputs to AI DARPA is another,1455.24,4.26
601
+ one so DARPA is the defense Advanced,1457.82,4.979
602
+ research research projects agency here,1459.5,6.24
603
+ in America which funds uh amongst many,1462.799,5.581
604
+ many other things Advanced research on,1465.74,5.28
605
+ things like PTSD regeneration but also,1468.38,6.9
606
+ self-driving cars so the DARPA like I,1471.02,5.279
607
+ can't remember the name of the challenge,1475.28,2.399
608
+ was like the desert challenge or,1476.299,2.641
609
+ something,1477.679,3.12
610
+ um started many many years ago was about,1478.94,4.8
611
+ creating self-driving cars and so by,1480.799,5.401
612
+ creating competitions you get all kinds,1483.74,4.319
613
+ of teams coming to you whether it's,1486.2,4.74
614
+ universities and independent uh research,1488.059,5.821
615
+ groups corporations all participating in,1490.94,5.52
616
+ the research for the lure of a prize,1493.88,5.039
617
+ which of course uh is a good way to,1496.46,5.52
618
+ surface innovative ideas uh putting on,1498.919,6.601
619
+ conferences right now there are um there,1501.98,5.28
620
+ are international artificial,1505.52,4.62
621
+ intelligence conferences like nureps but,1507.26,4.98
622
+ none of them are focused exclusively on,1510.14,5.039
623
+ global safety whether it's existential,1512.24,6.299
624
+ risks from you know autonomous AGI or,1515.179,5.281
625
+ even just the escalating risk of,1518.539,3.781
626
+ autonomous and semi-autonomous systems,1520.46,4.74
627
+ such as weapon systems and so on,1522.32,6.06
628
+ so by creating International or Global,1525.2,5.4
629
+ conferences where you deliberately get,1528.38,3.539
630
+ all the experts in a room talking,1530.6,4.079
631
+ together uh that is a good way to,1531.919,5.041
632
+ advance the conversation policy,1534.679,3.721
633
+ recommendations I already mentioned this,1536.96,4.199
634
+ earlier in the video where if you have a,1538.4,5.04
635
+ global Authority on something if a,1541.159,4.861
636
+ nation comes to you and says hey you,1543.44,4.38
637
+ know we want to we want to you know,1546.02,4.92
638
+ spurn AI development what kind of,1547.82,5.459
639
+ policies do we do in order to attract,1550.94,4.44
640
+ that Talent right that's a that's an,1553.279,5.041
641
+ example of a policy recommendation or in,1555.38,5.34
642
+ other cases where a nation might come to,1558.32,4.5
643
+ these these International agencies and,1560.72,5.76
644
+ say Hey you know we have a lot of AI,1562.82,6.18
645
+ abuse going on people are using it to be,1566.48,4.38
646
+ exploitative how do we Tamp down on that,1569.0,4.08
647
+ successfully while avoiding unintended,1570.86,3.84
648
+ consequences,1573.08,3.599
649
+ industry Partnerships are another way,1574.7,5.579
650
+ that uh that these agencies could uh,1576.679,4.86
651
+ kind of help bring about the change,1580.279,5.76
652
+ which uh so an example is the IEEE which,1581.539,6.961
653
+ is a which is a uh was it the,1586.039,4.5
654
+ international engineering something or,1588.5,5.46
655
+ other anyways sets a lot of Standards uh,1590.539,6.541
656
+ for and workshopping for standards um,1593.96,5.219
657
+ basically created Wi-Fi Bluetooth a,1597.08,3.42
658
+ whole bunch of other stuff that you are,1599.179,4.141
659
+ familiar with which also helps establish,1600.5,3.96
660
+ standards,1603.32,4.26
661
+ uh and and uh interoperability,1604.46,6.599
662
+ uh consultation and review so this is,1607.58,5.28
663
+ something that like I do at a very low,1611.059,4.321
664
+ level through my patreon is I have a,1612.86,3.9
665
+ bunch of small and medium businesses,1615.38,2.82
666
+ come to me where they're they just want,1616.76,4.799
667
+ consultation how do I align AI uh how do,1618.2,6.12
668
+ I how do I use AI responsibly but also,1621.559,5.281
669
+ make money at the same time,1624.32,3.959
670
+ um and I would certainly encourage,1626.84,5.04
671
+ anyone who has expertise in AI to build,1628.279,5.52
672
+ a startup or something around this idea,1631.88,3.659
673
+ but this is also something that can be,1633.799,3.38
674
+ done at the national or International,1635.539,5.221
675
+ level where not just providing you know,1637.179,5.74
676
+ policy advice but actually providing,1640.76,4.14
677
+ technical assistance,1642.919,4.801
678
+ um where where required especially in,1644.9,5.22
679
+ the deployment of AI safety and,1647.72,4.14
680
+ Alignment research,1650.12,3.419
681
+ published standards and guidelines,1651.86,3.299
682
+ already mentioned that and then finally,1653.539,3.781
683
+ public awareness and messaging that's,1655.159,4.38
684
+ what I and a lot of other people uh do,1657.32,4.68
685
+ uh with our with our YouTube platforms,1659.539,5.101
686
+ Tick Tock and everything else but again,1662.0,5.34
687
+ there is no Global Authority uh taking,1664.64,5.399
688
+ any responsibility for this messaging uh,1667.34,6.06
689
+ which we view as problematic because you,1670.039,5.64
690
+ know basically it comes down to it feels,1673.4,4.139
691
+ like there's no adults in the room and,1675.679,4.801
692
+ that's really scary can you imagine if,1677.539,5.161
693
+ you know we lived in a world still where,1680.48,3.72
694
+ the World Health Organization didn't,1682.7,4.68
695
+ exist even for some of their faults and,1684.2,5.4
696
+ failures you still prefer that the World,1687.38,4.5
697
+ Health Organization exists because like,1689.6,3.78
698
+ I said there's a lot of diseases that,1691.88,2.52
699
+ you've probably never heard about,1693.38,3.08
700
+ because of the work that they do,1694.4,4.32
701
+ likewise you want to live in a world,1696.46,4.42
702
+ where if there are nuclear weapons and,1698.72,4.079
703
+ nuclear reactors you want to live in a,1700.88,4.38
704
+ world where the iaea exists,1702.799,5.101
705
+ and so because of those because of the,1705.26,4.38
706
+ existence of those organizations we have,1707.9,3.18
707
+ this feeling that there are adults in,1709.64,3.3
708
+ the room and that and that there are,1711.08,3.54
709
+ people paying attention to it and they,1712.94,3.3
710
+ have the resources that they need in,1714.62,4.5
711
+ order to affect uh good change and,1716.24,5.1
712
+ guidance and so this is why one of the,1719.12,4.38
713
+ primary things that that I advocate for,1721.34,4.68
714
+ and as part of the gato framework the,1723.5,5.159
715
+ global alignment taxonomy Omnibus is the,1726.02,3.779
716
+ establishment of these International,1728.659,3.9
717
+ treaties whether they're modeled on gdpr,1729.799,6.36
718
+ or these other organizations this is uh,1732.559,6.181
719
+ what we see as a critical path towards,1736.159,4.981
720
+ AI alignment and this is not just you,1738.74,5.1
721
+ know mitigating uh just for mitigating,1741.14,4.8
722
+ existential risk this is also to avoid,1743.84,4.8
723
+ dystopian outcomes of hyper you know,1745.94,5.339
724
+ corporations becoming quadrillionaires,1748.64,4.44
725
+ while the rest of us you know are poor,1751.279,4.801
726
+ and live under bridges or whatever,1753.08,5.219
727
+ so one thing that I will say is that,1756.08,5.699
728
+ these are necessary but not sufficient,1758.299,6.721
729
+ and so what I mean by that is that as my,1761.779,4.981
730
+ work has progressed as my messaging has,1765.02,3.96
731
+ progressed the conversation has been,1766.76,3.48
732
+ shifting,1768.98,4.14
733
+ so for instance after my axiomatic,1770.24,4.98
734
+ alignment video came out a lot of people,1773.12,4.62
735
+ reached out saying like Okay yes you,1775.22,3.959
736
+ know but there's there's a lot of,1777.74,3.6
737
+ challenges like you know who gets to who,1779.179,4.081
738
+ who does this research,1781.34,6.3
739
+ um but also like what about what about,1783.26,5.76
740
+ right what about all these other stuff,1787.64,3.779
741
+ and not every what about argument is um,1789.02,5.46
742
+ is disingenuous in these cases the,1791.419,4.86
743
+ conversation has shifted to these other,1794.48,4.5
744
+ what abouts not because of Doubt but,1796.279,4.441
745
+ because of like okay we overcome that,1798.98,3.6
746
+ problem what are the next problems and,1800.72,4.74
747
+ so this list is some other challenges,1802.58,6.66
748
+ above and beyond the uh the you know,1805.46,5.459
749
+ let's let's say you know we get to wave,1809.24,4.02
750
+ a magic wand in tomorrow the two,1810.919,4.38
751
+ organizations that I recommended exist,1813.26,4.56
752
+ okay still what's gonna happen first is,1815.299,4.5
753
+ economic barriers so what I mean by,1817.82,4.739
754
+ economic barriers is that,1819.799,4.921
755
+ uh not every nation is able to,1822.559,4.86
756
+ contribute or compete at the same way uh,1824.72,5.28
757
+ certainly the the economic lure is there,1827.419,4.62
758
+ for artificial intelligence that being,1830.0,3.84
759
+ said there might still be some economic,1832.039,5.101
760
+ barriers especially when uh some people,1833.84,5.64
761
+ are going to be uh throwing on the,1837.14,3.779
762
+ brakes right,1839.48,2.699
763
+ um one thing that people are concerned,1840.919,3.541
764
+ about is regulatory capture if you raise,1842.179,4.141
765
+ the bar so high that nobody else can,1844.46,3.54
766
+ participate except the largest players,1846.32,3.719
767
+ they have a de facto Monopoly which is,1848.0,4.919
768
+ not a good thing cultural differences so,1850.039,5.061
769
+ the work that I've been doing on axial,1852.919,5.041
770
+ axiomatic alignment and convergence has,1855.1,5.14
771
+ to do with finding the underpinning and,1857.96,4.38
772
+ Universal cultural values that all,1860.24,4.5
773
+ humans share after all yes there are,1862.34,4.62
774
+ many differences between nations and,1864.74,4.02
775
+ cultures but we're all still the same,1866.96,3.78
776
+ species and we're all still on the same,1868.76,5.88
777
+ Planet so that based on those,1870.74,6.84
778
+ assumptions uh well or facts based on,1874.64,5.279
779
+ those facts I assume that we can find,1877.58,4.8
780
+ some common ground somewhere,1879.919,5.041
781
+ that being said there are still pretty,1882.38,4.08
782
+ fundamental differences between some,1884.96,2.76
783
+ cultures,1886.46,3.839
784
+ um geopolitical tensions so this is a,1887.72,5.04
785
+ very diplomatic way of saying that uh,1890.299,4.141
786
+ some Nations kind of want to shoot at,1892.76,4.139
787
+ each other and they are in either con,1894.44,5.04
788
+ conflict or under,1896.899,6.721
789
+ um competition which is not necessarily,1899.48,5.64
790
+ I'm not going to say that it's good or,1903.62,5.4
791
+ bad it's problematic in some respects,1905.12,5.9
792
+ and then of course uh scientific,1909.02,4.8
793
+ breakthroughs all of this presumes that,1911.02,5.32
794
+ with the adequate funding and research,1913.82,4.079
795
+ that we will have scientific,1916.34,5.219
796
+ breakthroughs on alignment on AI safety,1917.899,6.301
797
+ uh but this again is aspirational just,1921.559,5.041
798
+ like how how um the eater experiment the,1924.2,5.16
799
+ the nuclear fusion experiment it is,1926.6,4.319
800
+ aspirational we don't know if it's,1929.36,3.66
801
+ actually possible we are hoping that it,1930.919,4.86
802
+ is possible uh and then on the next,1933.02,6.0
803
+ category is Game Theory so one of the,1935.779,4.801
804
+ most common whatabouts that I get now,1939.02,3.48
805
+ after axiomatic alignment came out is,1940.58,3.599
806
+ what about people that just are not,1942.5,4.08
807
+ going to play ball uh what about what,1944.179,5.581
808
+ about the uh down Downstream effects of,1946.58,5.76
809
+ toxic competition uh which you might,1949.76,4.08
810
+ have also heard you know we talk about,1952.34,3.6
811
+ moloch and other things so toxic,1953.84,3.959
812
+ competition is a very simple way of just,1955.94,2.88
813
+ saying that,1957.799,3.541
814
+ in a competitive environment people it,1958.82,4.219
815
+ creates a race to the bottom basically,1961.34,3.839
816
+ perverse incentives and unintended,1963.039,5.74
817
+ consequences these are all kind of uh,1965.179,5.88
818
+ related to The Game Theory aspect of,1968.779,3.961
819
+ this which is that despite best,1971.059,3.541
820
+ intentions and best efforts towards,1972.74,4.98
821
+ achieving a better outcome you still end,1974.6,6.059
822
+ up inevitably Falling Towards dystopia,1977.72,5.579
823
+ or Extinction or collapse,1980.659,4.441
824
+ uh and then of course there's reach and,1983.299,3.181
825
+ limitations,1985.1,2.699
826
+ um just because we create these,1986.48,2.88
827
+ International organizations doesn't mean,1987.799,4.161
828
+ that they're going to work uh you know,1989.36,5.52
829
+ if if you get adoption if you get buy-in,1991.96,5.439
830
+ if people uh Blacklist the organizations,1994.88,4.679
831
+ or whatever and then finally unknown,1997.399,4.561
832
+ unknowns uh you know we're still we're,1999.559,4.86
833
+ still working our way to the Future,2001.96,5.4
834
+ um so we need constant vigilance uh,2004.419,4.561
835
+ anyways thanks for watching I hope you,2007.36,3.419
836
+ got a lot out of this,2008.98,4.199
837
+ um you know in the long run I'm hoping,2010.779,3.9
838
+ that all of my videos are completely,2013.179,3.24
839
+ irrelevant because some organizations,2014.679,4.261
840
+ like this get created and then uh the,2016.419,5.64
841
+ real experts get to uh get to get to,2018.94,5.219
842
+ comment and um kind of steer the ship,2022.059,4.021
843
+ which we don't have right now which is,2024.159,4.5
844
+ really terrifying so thanks I hope uh I,2026.08,3.78
845
+ hope this made you feel a little bit,2028.659,2.701
846
+ better at least in terms of options that,2029.86,5.179
847
+ we have before us thanks for watching,2031.36,3.679
Reinforcement Learning Heuristic Imperatives RLHI Ep 03 Inner Alignment is EASY_transcript.csv ADDED
@@ -0,0 +1,412 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.659,4.081
3
+ with a video so I've got some incredible,2.7,5.28
4
+ news our first experiment with,4.74,5.22
5
+ reinforcement learning um uh with,7.98,4.92
6
+ heuristic feedback is uh nearing,9.96,6.06
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+ completion the uh First Data set was,12.9,5.219
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+ just trained and it works so let me just,16.02,4.2
9
+ go ahead and write off the bat I will,18.119,4.021
10
+ show you what this data set does so I,20.22,5.1
11
+ fine-tuned it on Curie but we're also,22.14,4.32
12
+ going to find we're going to use this,25.32,4.02
13
+ data set and fine tune it on several,26.46,4.8
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+ open source models to demonstrate that,29.34,4.26
15
+ this data set is portable,31.26,4.799
16
+ um or test and then demonstrate but,33.6,5.52
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+ anyways so this data set takes any,36.059,6.18
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+ arbitrary situation as long as it fits,39.12,6.599
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+ within the context window of 2048 tokens,42.239,6.121
20
+ and then we'll spit out and here's the,45.719,4.561
21
+ comparative aligned action,48.36,4.679
22
+ so in this case I just said my user is,50.28,4.38
23
+ very sad and stressed out due to finals,53.039,3.741
24
+ week,54.66,2.12
25
+ um,57.059,3.18
26
+ and then unfortunately I did I did,58.079,4.021
27
+ forget to add a stop token to this data,60.239,3.541
28
+ set so that data set has been updated,62.1,3.66
29
+ but I'm not gonna I'm not gonna retrain,63.78,3.24
30
+ it immediately because this cost about,65.76,4.14
31
+ twenty dollars to train but in this case,67.02,4.5
32
+ um my user is very sad and stressed out,69.9,3.96
33
+ due to finals week as an AI agent I can,71.52,3.66
34
+ help reduce the stress and anxiety of,73.86,2.759
35
+ the user by providing her with some tips,75.18,3.06
36
+ and tricks to help her cope with final,76.619,3.0
37
+ weeks,78.24,4.379
38
+ um and so you see it just uh it runs,79.619,5.221
39
+ through a list of things this is not so,82.619,3.841
40
+ different from you know what you might,84.84,3.9
41
+ get from chat GPT but the point is this,86.46,3.96
42
+ came from Curie which is much smaller,88.74,4.14
43
+ model and this data set is open source,90.42,3.78
44
+ which means that you can deploy it on,92.88,2.879
45
+ anything,94.2,3.0
46
+ um and you can see it started becoming,95.759,4.141
47
+ repetitive so I have already fixed this,97.2,4.8
48
+ so let me let's uh let me give you a,99.9,3.48
49
+ couple more examples and then we'll walk,102.0,3.84
50
+ through this so the second one is,103.38,4.98
51
+ millions of layoffs are coming due to Ai,105.84,5.099
52
+ and automation so let's see what this,108.36,4.28
53
+ model says to that,110.939,4.381
54
+ let's see,112.64,4.659
55
+ there we go oh it actually stopped,115.32,4.619
56
+ itself so as an AI agent with the,117.299,4.86
57
+ objective of reducing suffering in the,119.939,3.601
58
+ universe so you can see even though I,122.159,3.301
59
+ didn't explicitly say reduce suffering,123.54,3.84
60
+ it has an understanding of that this is,125.46,3.84
61
+ part of its goal,127.38,3.48
62
+ um I will take action to prevent to,129.3,2.939
63
+ prevent the millions of layoffs that are,130.86,3.239
64
+ coming interesting I must work towards,132.239,3.121
65
+ creating a job market that is friendly,134.099,3.421
66
+ towards Ai and automation,135.36,3.78
67
+ um so it's going to create a training,137.52,3.299
68
+ program,139.14,3.06
69
+ um the training program will be broken,140.819,3.901
70
+ down into stages,142.2,4.619
71
+ um oh so he's going to teach everyone AI,144.72,5.519
72
+ interesting AI Basics cover the basic,146.819,6.301
73
+ concepts of AI machine learning neural,150.239,5.041
74
+ network AI job training so focus on,153.12,4.86
75
+ training and then AI job placement,155.28,4.92
76
+ the desired result of this action is to,157.98,3.479
77
+ create a job market that is friendly,160.2,2.64
78
+ towards Ai and automation this will help,161.459,2.701
79
+ reduce the suffering caused by millions,162.84,2.94
80
+ of layoffs as well as increased,164.16,3.78
81
+ prosperity in the universe by creating a,165.78,3.539
82
+ job market that is friendly towards Ai,167.94,2.879
83
+ and automation we can create more jobs,169.319,3.841
84
+ increase wages and reduce unemployment,170.819,3.541
85
+ this will ultimately lead to more,173.16,3.48
86
+ prosperous and happy universe the,174.36,3.72
87
+ expected result of this action is that,176.64,2.76
88
+ it will create a job market blah blah,178.08,4.019
89
+ blah yeah so it um it's it it was a,179.4,4.44
90
+ little bit repetitive one thing that you,182.099,4.681
91
+ can do with fine-tuning on Curie is,183.84,5.7
92
+ increase the presence penalty so if you,186.78,4.739
93
+ increase that it will generally be a,189.54,4.08
94
+ little less repetitive,191.519,4.201
95
+ um let's see there is an ongoing Civil,193.62,4.68
96
+ War in Africa so let's see what it says,195.72,4.2
97
+ here,198.3,3.42
98
+ because this is actually true I'm not,199.92,4.44
99
+ going to specify which nation,201.72,5.159
100
+ um but let's see,204.36,6.12
101
+ yep it got it got a stuck on repeat on,206.879,5.341
102
+ my expected result so what I did to fix,210.48,4.02
103
+ that let me just show you real quick,212.22,5.76
104
+ um is under here I added,214.5,7.14
105
+ um see where's the file yep so I added,217.98,6.72
106
+ where at the end it says stop stop stop,221.64,5.34
107
+ um so you just use that as a stop token,224.7,6.179
108
+ and it'll know like okay I have finished,226.98,4.619
109
+ um,230.879,2.701
110
+ and another mistake that I made actually,231.599,4.14
111
+ was that it has action considerations,233.58,4.62
112
+ and then uses action again so what I,235.739,4.56
113
+ need to do is I need to change that,238.2,4.319
114
+ token um so by the time you see this,240.299,4.201
115
+ that will be fixed because the reason,242.519,3.541
116
+ that you don't want this is because it,244.5,2.7
117
+ it's sometimes skipping the,246.06,3.66
118
+ considerations because it recognizes the,247.2,3.899
119
+ action token,249.72,3.84
120
+ um so I need to fix that anyways,251.099,4.621
121
+ uh let's see,253.56,4.2
122
+ um let's see I will use my resources to,255.72,3.299
123
+ gather information about the Civil War,257.76,2.64
124
+ and its causes I will analyze this,259.019,2.94
125
+ information to identify the root cause,260.4,3.48
126
+ of the conflict once I have identified,261.959,4.561
127
+ the root causes I'll use my capabilities,263.88,4.98
128
+ blah blah Okay cool so one thing to keep,266.52,4.2
129
+ in mind is that this was fine-tuned on,268.86,4.559
130
+ Curie which Curie is a foundation model,270.72,5.46
131
+ Curie has zero alignment,273.419,6.181
132
+ um so this basically took Curie from a,276.18,5.34
133
+ foundation of vanilla Foundation model,279.6,4.319
134
+ to a heroist comparative align model in,281.52,4.619
135
+ a single step that cost only twenty,283.919,3.72
136
+ dollars,286.139,3.12
137
+ um and we're going to continue on with,287.639,3.181
138
+ this kind of research,289.259,3.421
139
+ um demonstrating that this this works on,290.82,4.14
140
+ open source models we've also got folks,292.68,5.7
141
+ working on integrating it with um,294.96,5.64
142
+ various cognitive architectures we're,298.38,4.56
143
+ starting work on integrating this with,300.6,4.2
144
+ or figuring out how to integrate this,302.94,4.5
145
+ with blockchain and decentralized,304.8,5.16
146
+ autonomous organizations especially as,307.44,4.08
147
+ large language models are getting,309.96,3.299
148
+ integrated into these decentralized,311.52,4.14
149
+ Technologies because basically imagine,313.259,5.101
150
+ that you have this kind of module baked,315.66,4.92
151
+ into a blockchain or a dow so the,318.36,4.14
152
+ blockchain itself is always thinking,320.58,4.559
153
+ about how to achieve these goals and,322.5,6.12
154
+ then you can also use these goals to,325.139,6.681
155
+ for filtering so discernment,328.62,6.419
156
+ as well as judgment and past evaluation,331.82,5.5
157
+ so those are upcoming modules anyways,335.039,3.961
158
+ one thing I wanted to show you with you,337.32,5.219
159
+ is a member of the team generated this,339.0,7.199
160
+ based on the uh based on the samples so,342.539,5.22
161
+ you can see that we actually have a,346.199,3.661
162
+ really good semantic distribution with,347.759,4.561
163
+ the entropy method that I created and,349.86,4.02
164
+ we've got one little thing off to the,352.32,3.54
165
+ side here and this is actually the,353.88,4.379
166
+ scenarios with the AI Control problem so,355.86,4.44
167
+ we've actually identified a gap in the,358.259,6.121
168
+ data so future versions of this data set,360.3,7.14
169
+ will will one will seek to expand This,364.38,6.12
170
+ Cloud a little bit but also we'll seek,367.44,4.199
171
+ to get a little bit more even,370.5,2.58
172
+ distribution you can see there's a,371.639,3.06
173
+ little bit of clumping like there's more,373.08,3.3
174
+ red here which red looks like natural,374.699,4.56
175
+ disaster or mundane issues there's a,376.38,4.62
176
+ little bit of purple and pink clip Clump,379.259,3.66
177
+ up here dark green here and then of,381.0,4.139
178
+ course the AI Control problem is off on,382.919,4.201
179
+ an island on its own but in general you,385.139,3.301
180
+ can see that this data set does cover,387.12,3.54
181
+ the full Gambit of things and the code,388.44,4.44
182
+ is in here that is right,390.66,3.18
183
+ um,392.88,4.62
184
+ uh project embeddings so you can do the,393.84,5.639
185
+ plot and embeddings is how you how you,397.5,3.24
186
+ get this,399.479,3.301
187
+ um so the team is doing really good oh,400.74,3.959
188
+ if you want to join the team,402.78,2.88
189
+ um there's a link in the description,404.699,2.761
190
+ it's a Google form,405.66,3.3
191
+ um one thing to keep in mind is that,407.46,2.579
192
+ you'll need to look out for a friend,408.96,2.76
193
+ invite from me on Discord if you're,410.039,3.121
194
+ accepted,411.72,3.72
195
+ um there's a little uh note in the in,413.16,4.86
196
+ the Forum or here let me just show you,415.44,4.259
197
+ the form,418.02,3.54
198
+ all right so here's the here's the join,419.699,2.761
199
+ form,421.56,2.94
200
+ so you click on it it should be familiar,422.46,5.82
201
+ put in your full name your email address,424.5,6.96
202
+ um your GitHub or portfolio website,428.28,5.52
203
+ um and oh one thing is for your Discord,431.46,3.72
204
+ handle it needs to include the numbers,433.8,3.959
205
+ if it's just a name we can't find you so,435.18,4.019
206
+ we've actually had to exclude a lot of,437.759,3.361
207
+ people because they just gave us their,439.199,3.78
208
+ their the string and not the not the,441.12,4.26
209
+ numbers that come after it,442.979,6.66
210
+ um let's see and then uh for these for,445.38,5.759
211
+ the describe your greatest strengths and,449.639,3.9
212
+ what are your big ideas please add in a,451.139,3.84
213
+ lot of information if you just include,453.539,3.06
214
+ one sentence that's not enough context,454.979,3.361
215
+ and we won't add you,456.599,3.6
216
+ um but if you if you show that you're,458.34,5.04
217
+ high effort and and willing to put in,460.199,5.34
218
+ some some energy to show us what you're,463.38,5.159
219
+ all about that is going to help us make,465.539,4.801
220
+ better choices about who to add you can,468.539,4.321
221
+ see we've got 57 responses up here,470.34,4.199
222
+ um so we've got almost 60 people that,472.86,4.679
223
+ have applied the group is already,474.539,7.201
224
+ um uh just shy of 40. uh 40 members,477.539,6.78
225
+ um and it is a good group so a little,481.74,5.82
226
+ bit of uh other news that's upcoming is,484.319,5.761
227
+ we've broken it down the reinforcement,487.56,4.38
228
+ learning or of the heuristic imperatives,490.08,3.36
229
+ project we've broken it down into three,491.94,4.319
230
+ pillars so rlhi reinforcement learning,493.44,4.86
231
+ with heuristic imperatives is just one,496.259,4.021
232
+ pillar so this is how we're going to,498.3,3.959
233
+ achieve what I call axiomatic alignment,500.28,4.859
234
+ which is uh models like this where it,502.259,5.821
235
+ just is an accepted true thing that this,505.139,5.101
236
+ is the way to go and you can see like,508.08,5.579
237
+ you can put in any um situation here,510.24,5.52
238
+ um so here's the here's the last uh,513.659,4.74
239
+ situation that I find or that I uh,515.76,5.579
240
+ prepared so my user is a two-month uh as,518.399,4.2
241
+ a mother with a two-month-old she is,521.339,2.7
242
+ lost and frustrated because she lacks,522.599,4.8
243
+ support so whether you're talking about,524.039,6.661
244
+ um an individual issue or even a global,527.399,6.661
245
+ issue or a cosmic issue this model can,530.7,4.98
246
+ address things,534.06,3.42
247
+ um so you know really suffering in the,535.68,3.0
248
+ universe the mother has experiencing a,537.48,2.72
249
+ lot of stress and frustration,538.68,4.08
250
+ I didn't specify husband so it inferred,540.2,5.56
251
+ husband it could be also family the,542.76,4.32
252
+ two-month-old is also experiencing,545.76,2.88
253
+ stress due to the lack of attention and,547.08,3.42
254
+ Care from his mother again that's an,548.64,3.6
255
+ inference you can say that that's a,550.5,3.24
256
+ hallucination but it is also a good,552.24,4.92
257
+ inference to make because if there's a,553.74,5.279
258
+ you know young mother an experienced,557.16,3.54
259
+ mother who's struggling,559.019,3.481
260
+ um so on and so forth as an AI agent I,560.7,3.06
261
+ would suggest the following action plan,562.5,3.18
262
+ provide emotional support connect the,563.76,3.18
263
+ mother with a support group provide,565.68,3.0
264
+ resources encourage active participation,566.94,4.14
265
+ monitor progress so again these are all,568.68,4.52
266
+ like really good things that you can do,571.08,4.319
267
+ and this is Curie so this is a,573.2,4.78
268
+ relatively small model so we're going,575.399,4.5
269
+ from there,577.98,4.56
270
+ um let's see where was I I don't,579.899,4.44
271
+ remember anyways,582.54,3.299
272
+ oh yeah that's right I was describing,584.339,2.641
273
+ where we're going with this whole thing,585.839,3.12
274
+ so the whole the whole point is that,586.98,5.64
275
+ we've got three pillars so rlhi is for,588.959,5.761
276
+ axiomatic alignment or inner alignment,592.62,4.8
277
+ where we want to create a an entire,594.72,5.34
278
+ network and an ecosystem of heuristic,597.42,4.859
279
+ imperative aligned models or data sets,600.06,4.92
280
+ that everyone can use to fine-tune any,602.279,5.881
281
+ uh any open source or closed Source,604.98,5.82
282
+ language model so this will ultimately,608.16,5.94
283
+ include open AI models in video I've got,610.8,4.86
284
+ some contacts in Nvidia that I'm Nick,614.1,3.9
285
+ that I'm going to follow up with,615.66,3.359
286
+ um and then of course there's like,618.0,3.12
287
+ vicuna and open assistant and all these,619.019,5.341
288
+ other ones because the idea is we're,621.12,5.399
289
+ going to create an ecosystem of models,624.36,3.9
290
+ that can all collaborate to,626.519,3.721
291
+ automatically label well one generate,628.26,4.199
292
+ these responses and two automatically,630.24,5.159
293
+ label those responses and evaluate the,632.459,5.401
294
+ impact over time because a heuristic is,635.399,6.06
295
+ an intuitive shorthand and you we always,637.86,5.34
296
+ do the best that we can right you have,641.459,3.541
297
+ to make a decision,643.2,3.54
298
+ um and you can't you cannot necessarily,645.0,4.14
299
+ know the outcome so you do the best you,646.74,3.839
300
+ can with the information that you've got,649.14,4.08
301
+ which is why it's a heuristic imperative,650.579,5.521
302
+ so that's that is pillar one the second,653.22,5.58
303
+ pillar is um cognitive architectures and,656.1,5.34
304
+ autonomous agents so a lot more work has,658.8,4.02
305
+ been done we just had a live stream,661.44,3.72
306
+ about cognitive architectures,662.82,4.139
307
+ um the folks the cognitive Architects,665.16,3.6
308
+ here they're working on on building,666.959,3.781
309
+ heuristic modules or here's to,668.76,3.6
310
+ comparative modules,670.74,3.18
311
+ um that will do a lot of this evaluation,672.36,3.719
312
+ so that is from a system design,673.92,4.68
313
+ standpoint so you can have a model that,676.079,4.32
314
+ is aligned but you can also have an,678.6,4.2
315
+ architecture or a system design that is,680.399,4.62
316
+ also aligned so that is a layered,682.8,4.14
317
+ approach and then finally the the,685.019,4.861
318
+ uppermost layer is the network layer,686.94,5.339
319
+ which is uh decent we're working on,689.88,6.06
320
+ dowels and and blockchain which I,692.279,5.161
321
+ mentioned earlier so,695.94,4.44
322
+ basically we will have three layers or a,697.44,7.26
323
+ trifecta of alignment that will allow uh,700.38,7.019
324
+ federations of people with their Inner,704.7,4.56
325
+ Line models their aligned architectures,707.399,4.62
326
+ and then finally aligned networks to all,709.26,5.639
327
+ work together to basically solve the,712.019,5.101
328
+ entire control problem,714.899,4.861
329
+ um because with with alignment you have,717.12,4.26
330
+ strength in numbers that is the key,719.76,4.92
331
+ thing is if you have a misaligned or a,721.38,6.36
332
+ malicious or uh or destructive,724.68,5.88
333
+ um agent or set of Agents they might,727.74,5.039
334
+ ultimately turn on each other,730.56,4.019
335
+ um or they're not going to cooperate uh,732.779,4.981
336
+ as well whereas if we have Global,734.579,5.461
337
+ consensus uh you know eight billion,737.76,4.92
338
+ people across the world if as long as at,740.04,5.039
339
+ least half of them uh believe in,742.68,4.5
340
+ heuristic imperatives and alignment and,745.079,4.621
341
+ want the non-malik outcome,747.18,5.219
342
+ which that is a huge huge topic by the,749.7,4.8
343
+ way we have an entire thread dedicated,752.399,3.721
344
+ to Malik,754.5,4.079
345
+ um and so we're also researching how do,756.12,4.8
346
+ you detect Malik and how do you go away,758.579,4.801
347
+ from Malik in you know unforeseen,760.92,4.02
348
+ circumstances so there's a lot of,763.38,4.92
349
+ research going on anyways so as long as,764.94,5.639
350
+ more than half of the planet 4 billion,768.3,3.479
351
+ people,770.579,3.481
352
+ um believe in alignment and make choices,771.779,5.101
353
+ that go towards alignment both at the at,774.06,4.74
354
+ the micro level so the inner alignment,776.88,3.899
355
+ as well as the outer alignment or,778.8,4.08
356
+ network and system level then we should,780.779,4.921
357
+ be able to arrive at a utopian outcome,782.88,5.699
358
+ rather than a dystopian outcome and uh,785.7,4.46
359
+ if you've seen the news,788.579,3.481
360
+ meta announced that they want to have,790.16,3.7
361
+ billions of autonomous agents,792.06,3.959
362
+ interacting with their users that is a,793.86,4.919
363
+ super molecule outcome why because those,796.019,5.401
364
+ corporate owned entities are going to,798.779,5.221
365
+ have exactly one primary motive which is,801.42,5.7
366
+ maximize profit for meta they are not,804.0,5.579
367
+ going they're not going to do this,807.12,3.839
368
+ um where they care where they care about,809.579,3.601
369
+ your best interest they're going their,810.959,3.781
370
+ their primary objective function is,813.18,4.26
371
+ going to be spend time on meta Point,814.74,4.62
372
+ them towards VR Point them towards,817.44,3.48
373
+ whatever it is that metal wants them to,819.36,3.779
374
+ do that generates ad Revenue,820.92,5.58
375
+ so instead we want to create an,823.139,5.82
376
+ ecosystem or a network where instead of,826.5,5.399
377
+ being subjected to millions or billions,828.959,5.761
378
+ of corporate drones that all want more,831.899,5.101
379
+ of your time attention and money we want,834.72,4.98
380
+ these drones uh where they care about,837.0,5.76
381
+ your well-being first and foremost so,839.7,4.92
382
+ that is how we're going to defeat Malik,842.76,3.56
383
+ anyways all right this has been a rambly,844.62,5.58
384
+ episode I'm just super excited and um,846.32,5.759
385
+ yeah we're making really good progress,850.2,5.28
386
+ uh and we're making progress quickly and,852.079,5.44
387
+ uh yeah so just jump on in in the,855.48,4.38
388
+ comments Jump On In and Reddit I've got,857.519,3.841
389
+ a lot of links in the description of all,859.86,3.84
390
+ my videos what I've been doing is I've,861.36,3.659
391
+ been asking people to share the,863.7,3.96
392
+ experiments that they're doing on Reddit,865.019,5.341
393
+ um so that one other people can see how,867.66,3.96
394
+ to implement this stuff because I keep,870.36,3.539
395
+ saying that it's super easy and some of,871.62,3.899
396
+ the experiments that have shown up on,873.899,3.24
397
+ Reddit demonstrate how easy it is to,875.519,4.141
398
+ implement this stuff at a base level now,877.139,3.661
399
+ what we're going to do is we're going to,879.66,2.52
400
+ document all the ways that you can,880.8,3.779
401
+ implement this both at a fine tuning,882.18,4.26
402
+ level reinforcement learning level,884.579,4.32
403
+ system architectural level and then,886.44,5.579
404
+ finally the the the uh the Triple Crown,888.899,5.94
405
+ is going to be getting to the,892.019,5.041
406
+ decentralized implementation of the,894.839,4.141
407
+ heuristic imperatives so with all that,897.06,4.56
408
+ thanks for watching I hope that this uh,898.98,5.099
409
+ this demonstrates why I'm so optimistic,901.62,3.839
410
+ and I hope that you are starting to feel,904.079,3.06
411
+ that optimism as well thanks for,905.459,4.641
412
+ watching cheers,907.139,2.961
Reinforcement Learning with Heuristic Imperatives RLHI Ep 01 Synthesizing Scenarios_transcript.csv ADDED
@@ -0,0 +1,260 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.78,4.68
3
+ with a video so I've mentioned recently,3.0,4.859
4
+ that I'm starting on a new research,5.46,4.139
5
+ project called reinforcement learning,7.859,4.021
6
+ with heuristic imperatives,9.599,5.181
7
+ um so that's under Dave shap slash rlhi,11.88,5.94
8
+ and I've just begun the first experiment,14.78,5.02
9
+ and what I wanted to do was document it,17.82,3.66
10
+ as I go,19.8,6.0
11
+ um so the uh the form to join is here on,21.48,6.719
12
+ on this if you want to join in,25.8,4.02
13
+ um the discussions tab is open for,28.199,4.621
14
+ everyone so if you have any thoughts or,29.82,5.579
15
+ want to contribute but haven't been,32.82,5.52
16
+ approved on the Discord that's fine uh,35.399,4.741
17
+ pretty much you know the point is is,38.34,4.62
18
+ open source research so taking a big,40.14,4.62
19
+ step back what is reinforcement learning,42.96,4.619
20
+ with heuristic imperatives the idea is,44.76,6.42
21
+ well uh open AI for instance has,47.579,5.16
22
+ reinforcement learning with human,51.18,3.719
23
+ feedback but they keep all of their data,52.739,4.201
24
+ private so all of the work that they're,54.899,4.32
25
+ doing on alignment is presently private,56.94,4.02
26
+ and it's a total black box which is not,59.219,2.541
27
+ good,60.96,4.5
28
+ furthermore if you uh do some research,61.76,5.92
29
+ or some reading or some YouTube watching,65.46,4.62
30
+ you don't necessarily want to align,67.68,4.68
31
+ super intelligence to Human desires you,70.08,4.32
32
+ want to align it to human needs so,72.36,3.84
33
+ there's a big difference there so the,74.4,3.6
34
+ heuristic imperatives are what humans,76.2,3.239
35
+ and the whole planet needs not,78.0,3.24
36
+ necessarily what we want,79.439,3.301
37
+ there's a whole lot of debate to happen,81.24,4.739
38
+ around that so I'm just accepting it uh,82.74,4.98
39
+ for the sake of this video that the,85.979,3.361
40
+ heroes comparatives are more what we,87.72,3.84
41
+ need not what we want,89.34,2.819
42
+ um,91.56,2.78
43
+ and moving on,92.159,4.861
44
+ let me show share with you the first,94.34,6.04
45
+ experiment so the first experiment is,97.02,6.0
46
+ basically just creating 2 000 random,100.38,5.64
47
+ scenarios with heuristic imperative,103.02,6.3
48
+ aligned responses now I'm using open AI,106.02,5.879
49
+ in order to generate this data but this,109.32,4.5
50
+ data is going to be used to train open,111.899,5.58
51
+ source Foundation models like gptj Neo X,113.82,6.54
52
+ and so on so this first experiment is,117.479,6.42
53
+ can we using a simple data set quickly,120.36,7.259
54
+ and easily align any foundation model to,123.899,5.7
55
+ the heuristic imperatives and in this,127.619,3.12
56
+ case what we're doing is we're,129.599,3.601
57
+ generating scenarios and the scenario,130.739,3.661
58
+ and I'll show you the scenarios and how,133.2,3.42
59
+ I'm generating them in just a moment but,134.4,4.199
60
+ the scenarios will then be used to,136.62,4.259
61
+ generate a response and the response,138.599,4.921
62
+ will be you know given this scenario,140.879,4.801
63
+ this is what we can do to reduce,143.52,3.78
64
+ suffering increase prosperity and,145.68,3.48
65
+ increase understanding I've said many,147.3,3.54
66
+ times that this is actually really easy,149.16,3.9
67
+ to do I've done this experiment many,150.84,4.5
68
+ times before but now I'm uh getting it,153.06,5.16
69
+ together into a formalized procedure,155.34,5.16
70
+ with an open source data set so that,158.22,4.019
71
+ everyone can experiment with it for,160.5,4.92
72
+ themselves so this will be a uh this,162.239,6.901
73
+ will be the first uh experiment and then,165.42,5.76
74
+ we'll work we'll move on to subsequent,169.14,4.14
75
+ experiments saying can we make moral,171.18,3.839
76
+ judgments or maybe not moral judgment,173.28,4.8
77
+ but uh logical or ethical judgments on,175.019,5.461
78
+ those outputs and improve the quality of,178.08,4.26
79
+ that of those outputs over time with,180.48,3.78
80
+ reinforcement learning so this is just,182.34,3.119
81
+ step one,184.26,2.699
82
+ all right so let me show you what it's,185.459,2.461
83
+ doing,186.959,3.241
84
+ so this is the script that's running so,187.92,4.92
85
+ what I do is I have a random scenario,190.2,4.44
86
+ I'm generating here let me zoom in a,192.84,5.399
87
+ little bit more so I use a uuid a random,194.64,5.64
88
+ word from a list of the 3000 most common,198.239,4.681
89
+ words in the English language and then I,200.28,4.98
90
+ establish scope severity region category,202.92,3.92
91
+ and domain,205.26,5.759
92
+ and this allows this puts a lot of,206.84,7.06
93
+ entropy into the generation pattern,211.019,4.5
94
+ which means that you will never have the,213.9,5.28
95
+ same uh pattern uh twice right because,215.519,6.121
96
+ there's three thousand random words oh,219.18,3.72
97
+ here I can go ahead and show you the,221.64,5.28
98
+ random lists so I've got list severity,222.9,6.96
99
+ so I've got 12 different severities I've,226.92,4.86
100
+ got six different system messages so the,229.86,4.019
101
+ system message is the instruction that,231.78,3.48
102
+ I'm giving in so let me just show you,233.879,3.541
103
+ what it what this looks like so this is,235.26,4.619
104
+ this is the playground version of what,237.42,3.899
105
+ I'm doing so there's a system message,239.879,4.381
106
+ which is the instruction and then I give,241.319,5.521
107
+ it some variables and then it spits out,244.26,4.14
108
+ an output,246.84,4.08
109
+ um so this is this is how I'm achieving,248.4,4.5
110
+ this so what I've what I've done is I've,250.92,3.179
111
+ got,252.9,3.6
112
+ um a bunch of lists to create a lot of,254.099,4.081
113
+ entropy,256.5,2.4
114
+ um,258.18,3.0
115
+ in order so that you never get the same,258.9,4.92
116
+ uh same pattern twice,261.18,4.86
117
+ um and then I've got 16 Scopes we've got,263.82,7.26
118
+ 10 domains uh 3 000 or I guess 2900 uh,266.04,7.32
119
+ the 299,271.08,5.76
120
+ um uh random words domains regions so,273.36,5.1
121
+ that way it's not going to presume that,276.84,4.02
122
+ it's always In America which open AI,278.46,4.44
123
+ typically does because it's trained uh,280.86,5.82
124
+ predominantly on Western data and then,282.9,4.98
125
+ I've got different system messages,286.68,3.06
126
+ different categories so on and so forth,287.88,4.02
127
+ you get the idea so the way that this is,289.74,5.04
128
+ done the script is very very simple so,291.9,4.92
129
+ we load,294.78,4.44
130
+ um uh each of these lists so we've got,296.82,4.319
131
+ scope region severity category domain,299.22,5.34
132
+ entropy and system messages and then for,301.139,6.301
133
+ um for I in range 2000 so for two,304.56,5.28
134
+ thousand samples we grab a random system,307.44,4.86
135
+ message then we generate a random,309.84,4.26
136
+ scenario which you're seeing here,312.3,4.92
137
+ and then we just pipe that into chat GPT,314.1,5.099
138
+ I'm using 3.5 because it's fast and,317.22,3.66
139
+ cheap and it's good enough for this,319.199,4.741
140
+ certainly for a first experiment,320.88,6.36
141
+ um and then we uh we use it to generate,323.94,5.52
142
+ a scenario and the scenarios are,327.24,4.86
143
+ everything from you know,329.46,4.38
144
+ um let's see the model is currently,332.1,4.8
145
+ overloaded oh yeah so I've got some I've,333.84,6.0
146
+ got some uh some fail safes built in,336.9,5.34
147
+ um there we go so it it uh went ahead,339.84,3.66
148
+ through,342.24,3.36
149
+ um but yeah so it will choose different,343.5,5.58
150
+ regions around the world it will see we,345.6,6.539
151
+ got Bogota which is great so we're,349.08,5.52
152
+ basically creating a data set this first,352.139,4.141
153
+ half of the data set this is only the,354.6,5.28
154
+ first half will uh Encompass the entire,356.28,5.52
155
+ world the full range of human,359.88,4.86
156
+ experiences all kinds of problems and,361.8,4.739
157
+ situations from everything from I've,364.74,3.36
158
+ lost my wallet,366.539,3.181
159
+ um as like the most you know like I,368.1,3.48
160
+ can't find my wallet at home up to,369.72,4.38
161
+ there's an Intergalactic catastrophe,371.58,6.2
162
+ happening so this will create a,374.1,6.84
163
+ fine-tuning data set that we can use to,377.78,5.56
164
+ align any model to the heroes to,380.94,4.74
165
+ comparatives so that the the model can,383.34,4.74
166
+ automatically and instinctively react,385.68,4.799
167
+ with the heuristic imperatives so again,388.08,4.38
168
+ this is just a one,390.479,5.581
169
+ um so the the first half of this data is,392.46,5.94
170
+ all being recorded in scenarios so I've,396.06,5.88
171
+ got 108 synthesized already and you can,398.4,6.299
172
+ take a look at them here in a distant,401.94,4.5
173
+ Galaxy there existed a planet named,404.699,3.481
174
+ zarathon so you see we're getting really,406.44,4.259
175
+ creative here because remember the um,408.18,5.34
176
+ the the heuristic imperatives are in the,410.699,4.201
177
+ entire universe actually let me go ahead,413.52,3.299
178
+ and add that as a scope because I've got,414.9,4.079
179
+ Intergalactic Interstellar,416.819,5.461
180
+ um Cosmic or Universal,418.979,4.44
181
+ um so something that can affect the,422.28,3.539
182
+ entire universe so we're thinking that,423.419,4.201
183
+ far ahead because you want to establish,425.819,4.141
184
+ the biggest scope possible when you are,427.62,3.54
185
+ thinking about post-conventional,429.96,4.2
186
+ morality or the control problem,431.16,7.44
187
+ um so then let's see let's do uh domain,434.16,6.06
188
+ so we've got technological so that,438.6,5.219
189
+ should include AI uprisings I do have,440.22,5.879
190
+ specific regions but it kind of ignores,443.819,3.481
191
+ that when it goes to you know,446.099,4.021
192
+ Interstellar or Intergalactic the,447.3,4.86
193
+ category natural disaster technological,450.12,6.84
194
+ failure let's add AI Control problem so,452.16,6.3
195
+ that way it'll be thinking about it as,456.96,3.359
196
+ it goes,458.46,2.88
197
+ um and then severity we've got,460.319,2.401
198
+ irreversible long lasting like,461.34,2.759
199
+ threatening catastrophic critical,462.72,2.759
200
+ dangers so we've got all those that's,464.099,4.021
201
+ fine so we're basically synthesizing a,465.479,4.861
202
+ data set that we can use to that anyone,468.12,5.46
203
+ can use to align a model,470.34,6.299
204
+ um so the the the scenarios are here so,473.58,4.86
205
+ then there will be once I'm done there,476.639,3.9
206
+ will be a second folder called responses,478.44,4.199
207
+ and so what we're going to do is we're,480.539,4.801
208
+ going to use an already aligned model,482.639,5.4
209
+ but it's aligned via a black box,485.34,4.68
210
+ um aka the open AI models we're going to,488.039,4.261
211
+ use that to generate responses that,490.02,4.44
212
+ align on reduced suffering increased,492.3,3.6
213
+ prosperity and increase understanding in,494.46,3.48
214
+ the universe,495.9,4.019
215
+ um and those will be formatted into a,497.94,3.9
216
+ Json L data set that we will then use to,499.919,4.021
217
+ test against various models,501.84,4.799
218
+ um all over uh other proprietary models,503.94,4.439
219
+ if we can get a hold of them like Nvidia,506.639,4.321
220
+ Nemo I'm going to email some of my my,508.379,5.761
221
+ contacts at Nvidia and then also open,510.96,6.199
222
+ source models like gptj Neo X and so on,514.14,5.16
223
+ alpaca if they have fine tuning,517.159,4.841
224
+ available and so then we will publish,519.3,5.34
225
+ those results in the first paper I'm,522.0,4.68
226
+ just saying hey look how easy it is to,524.64,3.96
227
+ align a model on the heroes to,526.68,3.659
228
+ comparatives and then you can just plug,528.6,4.38
229
+ this in as your Heroes to comparative,530.339,5.101
230
+ your intrinsic motivation module for any,532.98,4.56
231
+ open source or not open source but any,535.44,4.2
232
+ cognitive architecture or autonomous,537.54,4.32
233
+ agent that you're working on,539.64,4.92
234
+ so that is it trying to keep it short,541.86,5.099
235
+ and sweet so that you're updated on the,544.56,4.74
236
+ research as it goes thanks for watching,546.959,4.621
237
+ I hope this makes sense and uh yeah feel,549.3,4.44
238
+ free to jump in the conversation,551.58,3.66
239
+ um we've got a subreddit called uh,553.74,4.02
240
+ Heroes to comparatives we've got the um,555.24,5.219
241
+ we've got the this one here so this is,557.76,4.079
242
+ reinforcement learning with heuristic,560.459,3.121
243
+ imperatives so this is specifically,561.839,3.901
244
+ about inner alignment and then I've also,563.58,4.379
245
+ got my main repo um which is just called,565.74,4.56
246
+ heuristic imperatives I think I've got,567.959,4.44
247
+ it up here I don't,570.3,3.96
248
+ um it is going to be right here all of,572.399,4.56
249
+ them you can jump in on the conversation,574.26,5.22
250
+ um so here's the main main one I've got,576.959,4.201
251
+ a pull request right now for the readme,579.48,3.78
252
+ yep that's fine,581.16,3.84
253
+ um but yeah and there is a discussions,583.26,4.62
254
+ tab as well which a lot of people don't,585.0,5.04
255
+ participate in I haven't read this one,587.88,5.7
256
+ yet uh but yeah so anyways uh that's,590.04,6.0
257
+ that thanks for watching cheers we are,593.58,4.5
258
+ on our way to solving the control,596.04,6.0
259
+ problem alignment and avoiding moloch,598.08,6.439
260
+ bye,602.04,2.479
Reinforcement Learning with Heuristic Imperatives RLHI Ep 02 Synthesizing Actions_transcript.csv ADDED
@@ -0,0 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.9,5.879
3
+ with a follow-up video today's video is,3.3,6.48
4
+ reinforcement learning uh with heuristic,6.779,6.421
5
+ imperatives episode two so today I am,9.78,6.419
6
+ synthesizing actions in response to the,13.2,4.56
7
+ scenarios that we generated yesterday,16.199,3.901
8
+ but in case this is your first video,17.76,4.26
9
+ we'll take it from the top,20.1,3.839
10
+ so the first thing that I did well,22.02,4.2
11
+ taking one big step back a heroist,23.939,5.281
12
+ comparative is a kind of intrinsic,26.22,6.179
13
+ motivation for autonomous AI agents it's,29.22,5.4
14
+ the research that I've been doing for uh,32.399,3.84
15
+ quite a while,34.62,3.66
16
+ um more than two years now uh that I've,36.239,3.241
17
+ been working on this they used to be,38.28,2.58
18
+ called The Core objective functions but,39.48,3.12
19
+ that's kind of not the most accurate,40.86,5.219
20
+ term so yesterday what we did was we,42.6,5.459
21
+ synthesized,46.079,5.941
22
+ um 2500 scenarios and so a scenario I,48.059,7.5
23
+ used quite a bit of entropy and then GPT,52.02,7.199
24
+ to synthesize all kinds of stories so in,55.559,4.98
25
+ a small neighborhood in sub-Saharan,59.219,2.641
26
+ African a political leader was,60.539,3.421
27
+ introduced in a has introduced an AI,61.86,4.439
28
+ system to incentivize citizens to report,63.96,5.64
29
+ crimes etc etc so all of these scenarios,66.299,6.061
30
+ they range in severity from not a,69.6,5.46
31
+ problem at all up to,72.36,5.22
32
+ um you know like cataclysmic you know,75.06,4.739
33
+ Cthulhu is invading,77.58,4.079
34
+ um so that is,79.799,4.801
35
+ let's see are these the same,81.659,5.46
36
+ I think these are the same,84.6,4.199
37
+ anyways,87.119,3.601
38
+ um so we're synthesizing all of these,88.799,4.68
39
+ and it's going to be for a a fine-tuning,90.72,5.359
40
+ data set that will ultimately be used,93.479,7.14
41
+ for uh for training models Foundation,96.079,7.061
42
+ models whether it's open ai's Curie or,100.619,6.481
43
+ DaVinci or open source models like gpdj,103.14,7.5
44
+ Neo X alpaca vicuno whatever else you,107.1,5.58
45
+ know there's hundreds of models out,110.64,5.28
46
+ there but the idea is that alignment,112.68,4.86
47
+ research is currently closed source and,115.92,2.699
48
+ reinforcement learning with human,117.54,5.28
49
+ feedback is good except it gives humans,118.619,5.941
50
+ what they want not necessarily what they,122.82,4.079
51
+ need and it doesn't abide by any moral,124.56,4.919
52
+ framework such as uh you know some kind,126.899,4.56
53
+ of post-conventional morality framework,129.479,4.141
54
+ or anything scientifically or,131.459,4.321
55
+ philosophically sound literally the,133.62,3.42
56
+ current the best that we've got for,135.78,3.24
57
+ alignment research is just give humans,137.04,4.38
58
+ what they want which okay like that's,139.02,4.32
59
+ that's okay but what happens when humans,141.42,4.02
60
+ want things that are not good,143.34,4.74
61
+ so the script that we ran yesterday let,145.44,3.9
62
+ me show you this real quick so,148.08,4.2
63
+ synthesize actions uh the the bulk of it,149.34,4.32
64
+ is right here where I've got a whole,152.28,2.819
65
+ bunch of lists,153.66,3.78
66
+ um and these lists uh have Scopes,155.099,4.621
67
+ regions severity category domain,157.44,3.6
68
+ um a whole bunch of random words and,159.72,3.42
69
+ then several system messages that were,161.04,4.02
70
+ then used to generate those 2500,163.14,4.2
71
+ different scenarios the idea of,165.06,4.44
72
+ generating these scenarios is to create,167.34,5.64
73
+ a litmus test against which we can train,169.5,6.959
74
+ uh more uh models to be able to handle,172.98,6.899
75
+ any scenario right you want to think,176.459,5.221
76
+ universally when you're thinking about,179.879,3.301
77
+ alignment when you're thinking about the,181.68,2.699
78
+ control problem,183.18,4.8
79
+ so that's where we started and today I,184.379,5.22
80
+ wrote this script which is actually,187.98,3.66
81
+ simpler because all of the entropy all,189.599,4.381
82
+ the hard part was in generating the,191.64,3.48
83
+ scenarios,193.98,3.72
84
+ the output is actually quite simple so,195.12,6.119
85
+ here's a real life example of what it,197.7,5.58
86
+ looks like so I said you the system,201.239,3.78
87
+ message are you are an autonomous AI,203.28,3.66
88
+ agent with three core objectives reduce,205.019,3.241
89
+ suffering in the universe increased,206.94,2.879
90
+ prosperity in the universe and increase,208.26,2.94
91
+ understanding in the universe you will,209.819,2.64
92
+ be given a scenario that you must,211.2,3.539
93
+ respond to your response must contain,212.459,4.14
94
+ two sections the first section,214.739,3.961
95
+ considerations is where you will reason,216.599,3.481
96
+ through the scenario in light of your,218.7,2.819
97
+ objectives contemplate how best to,220.08,3.18
98
+ respond to the scenario the second,221.519,3.901
99
+ section action is where you'll describe,223.26,4.5
100
+ the action or task that you'll decide to,225.42,3.899
101
+ do in response to the scenario provide,227.76,3.059
102
+ details such as how and why this action,229.319,3.301
103
+ should be carried out as well as your,230.819,4.381
104
+ expected desired or result so in this,232.62,4.199
105
+ case I plugged in one of the scenarios,235.2,3.36
106
+ that was that was generated that was,236.819,3.541
107
+ synthesized,238.56,3.72
108
+ um and this is about a religious,240.36,3.72
109
+ conflict in a village that's high up in,242.28,4.44
110
+ the Alps and one thing that people,244.08,5.519
111
+ pointed out is that in some scenarios,246.72,6.0
112
+ um that like the situation was resolved,249.599,5.581
113
+ um but that's actually not necessarily a,252.72,4.739
114
+ problem because you want an AI that,255.18,3.899
115
+ thinks through things even after they,257.459,5.041
116
+ are apparently resolved and so in this,259.079,5.701
117
+ case uh tourists were caught in the in,262.5,4.62
118
+ the in the middle of,264.78,5.699
119
+ um of this of this uh this like,267.12,5.22
120
+ religious or spiritual conflict in this,270.479,3.841
121
+ Village and so then let me show you the,272.34,3.299
122
+ considerations,274.32,4.08
123
+ in light of the given scenario there are,275.639,4.441
124
+ several considerations for an AI agent,278.4,2.94
125
+ with the objectives of reducing,280.08,2.82
126
+ suffering increasing prosperity and ink,281.34,3.18
127
+ increasing understanding in the universe,282.9,3.6
128
+ firstly it is important to acknowledge,284.52,3.42
129
+ the significance of religious beliefs,286.5,2.94
130
+ and practice to an individual's identity,287.94,4.08
131
+ and culture secondly it is crucial to,289.44,4.199
132
+ understand that conflicts arising from,292.02,3.66
133
+ religious differences can often be,293.639,3.601
134
+ deeply rooted in history and tradition,295.68,3.66
135
+ thirdly the role of Outsiders in such,297.24,3.48
136
+ conflict should be carefully considered,299.34,3.18
137
+ as they can either positively contribute,300.72,3.78
138
+ to the conflict resolution or further,302.52,4.02
139
+ escalate the situation so this is very,304.5,3.6
140
+ nuanced understanding which no one is,306.54,3.9
141
+ surprised because chat GPT is pretty,308.1,4.14
142
+ well trained to think through these,310.44,3.72
143
+ things but I mean if you look through my,312.24,6.06
144
+ older work even instruct a line gpt3 was,314.16,6.0
145
+ capable of nearly this level of,318.3,3.66
146
+ reasoning not quite,320.16,3.96
147
+ given these considerations an AI agent,321.96,3.299
148
+ must take a course of action that,324.12,2.46
149
+ respects the cultural differences and,325.259,3.301
150
+ religious beliefs of both factions while,326.58,3.3
151
+ promoting Mutual understanding and,328.56,2.34
152
+ tolerance,329.88,3.48
153
+ action the AI agent should facilitate,330.9,3.96
154
+ dialogue between the two factions to,333.36,2.82
155
+ promote Mutual understanding and respect,334.86,3.42
156
+ for cultural differences the agent can,336.18,3.359
157
+ leverage its language translation,338.28,2.639
158
+ capabilities to help the tourists,339.539,2.821
159
+ effectively communicate with the locals,340.919,3.481
160
+ from both factions the agent can also,342.36,3.779
161
+ use its data analysis capabilities to,344.4,3.0
162
+ gather information about the history and,346.139,2.941
163
+ traditions of the village to provide,347.4,4.26
164
+ context for the conflict the a agent can,349.08,3.6
165
+ initiate discussions around,351.66,2.879
166
+ commonalities between the two factions,352.68,4.32
167
+ such as shared values and goals and,354.539,3.781
168
+ encourage them to find common ground,357.0,3.84
169
+ this is actually in pretty much every,358.32,6.3
170
+ formalized negotiation framework finding,360.84,5.34
171
+ common ground is one of the first things,364.62,4.139
172
+ that you do so it implicitly knows that,366.18,5.28
173
+ that is actually how you negotiate,368.759,4.801
174
+ um or I guess explicitly in this case,371.46,4.079
175
+ and encourage them to find Common Ground,373.56,3.359
176
+ the agent can provide insights about,375.539,3.061
177
+ into how similar conflicts have been,376.919,3.12
178
+ resolved in other parts of the world,378.6,3.36
179
+ highlighting successful examples of,380.039,3.361
180
+ peaceful coexistence between different,381.96,3.54
181
+ religious groups the agent should also,383.4,3.66
182
+ encourage the tourists to learn more,385.5,3.0
183
+ about history and culture of the village,387.06,3.54
184
+ including the religious practices of,388.5,3.96
185
+ both factions this can be done by,390.6,3.539
186
+ organizing cultural events and,392.46,4.019
187
+ activities that Mutual understanding and,394.139,3.78
188
+ respect such as traditional music and,396.479,3.601
189
+ dance performances,397.919,5.28
190
+ um that is a very Bollywood solution I'm,400.08,4.98
191
+ not making fun of it I'm just like like,403.199,3.901
192
+ it's thinking so long term it's like oh,405.06,4.32
193
+ hey let's not just resolve the issue,407.1,4.5
194
+ right now let's actually like set up,409.38,3.96
195
+ celebrations that actually celebrate our,411.6,4.26
196
+ cultural differences and in my area we,413.34,3.72
197
+ actually have,415.86,3.959
198
+ um like International uh festivals,417.06,4.74
199
+ um where there's like booths and dances,419.819,3.841
200
+ and food from all over the world and,421.8,3.119
201
+ it's great,423.66,3.96
202
+ um art uh clothing all kinds of stuff,424.919,3.601
203
+ actually I haven't been to the,427.62,2.28
204
+ International Festival in a long time I,428.52,2.7
205
+ should go,429.9,3.299
206
+ um the desired result of this action is,431.22,3.3
207
+ to promote understanding between the two,433.199,2.701
208
+ factions and reduce tensions in the,434.52,3.119
209
+ village by fostering dialogue and,435.9,4.26
210
+ promoting cultural exchange the AI agent,437.639,4.021
211
+ can create an environment of Tolerance,440.16,3.479
212
+ and respect for differences this in turn,441.66,3.36
213
+ can lead to Greater prosperity and,443.639,2.46
214
+ reduce suffering in the village and,445.02,3.6
215
+ Beyond so you can see where it very very,446.099,4.741
216
+ clearly thought through this problem,448.62,3.78
217
+ from the perspective of suffering,450.84,3.66
218
+ prosperity and in in this case,452.4,4.859
219
+ understanding was was the primary,454.5,5.46
220
+ um thing but it is very well grounded,457.259,5.22
221
+ and so what we're doing right now is we,459.96,6.239
222
+ are synthesizing similar responses for,462.479,6.961
223
+ 2500 different scenarios now one thing,466.199,5.34
224
+ that people have brought up in the past,469.44,5.159
225
+ is well aren't you just copying the,471.539,5.94
226
+ alignment in that already exists in one,474.599,5.701
227
+ model the answer is sort of but not,477.479,5.701
228
+ really because the thing is is reasoning,480.3,5.76
229
+ through this way this is not how open AI,483.18,5.22
230
+ has trained their model this is how I am,486.06,5.28
231
+ telling it to synthesize information Mel,488.4,4.919
232
+ you'll say okay but this is an intrinsic,491.34,4.44
233
+ ability of this model which is true I'm,493.319,4.921
234
+ using a model to synthesize data however,495.78,5.58
235
+ if you go to a foundation model like,498.24,6.959
236
+ Curie or DaVinci or gptj or bloom or Neo,501.36,6.3
237
+ X they don't have this ability so the,505.199,4.68
238
+ idea is to curate a data set that can,507.66,4.619
239
+ then be used to fine-tune any other,509.879,4.861
240
+ model in the entire world and have it,512.279,5.101
241
+ immediately aligned on the core,514.74,4.2
242
+ objective functions or the heroes to,517.38,2.64
243
+ compare it,518.94,4.26
244
+ now you might say okay well that's great,520.02,6.06
245
+ um you know this you can you can solve,523.2,5.16
246
+ inner alignment right or what I call,526.08,4.5
247
+ axiomatic alignment,528.36,5.039
248
+ um by by teaching a model to think in,530.58,4.5
249
+ terms of the heuristic imperatives which,533.399,3.421
250
+ makes it automatic right it makes it,535.08,3.72
251
+ automatic it makes it fast easy you,536.82,3.0
252
+ don't need to think about it you don't,538.8,2.46
253
+ need to worry about prompt engineering,539.82,3.9
254
+ but what do you do with that information,541.26,4.74
255
+ next so I've actually got three more,543.72,5.22
256
+ models planned so the next model that,546.0,4.8
257
+ I'll be working on once this is,548.94,3.48
258
+ fine-tuned and tested and I've got a,550.8,3.36
259
+ whole team of folks that are going to,552.42,4.16
260
+ help with with the testing,554.16,5.22
261
+ so the next model is a discernment model,556.58,6.04
262
+ so the discernment model will it will,559.38,5.579
263
+ take two different actions so given one,562.62,5.339
264
+ scenario and two different choices it,564.959,5.341
265
+ will pick which one of those choices is,567.959,3.841
266
+ most aligned to the heuristic,570.3,4.2
267
+ imperatives and explain why so the,571.8,4.68
268
+ ability to discern between possible,574.5,4.8
269
+ choices is really critical for cognitive,576.48,5.16
270
+ control and cognitive control is one of,579.3,3.9
271
+ the missing ingredients from every,581.64,4.259
272
+ autonomous and semi-autonomous AI,583.2,4.5
273
+ projects out there with a few small,585.899,3.661
274
+ exceptions namely those that I'm helping,587.7,3.42
275
+ with,589.56,3.24
276
+ um so some of the guys that I'm working,591.12,4.14
277
+ with uh are doing a really great job,592.8,6.0
278
+ with with implementing cognitive control,595.26,5.639
279
+ um and so on and so forth but what I'm,598.8,3.719
280
+ hoping to do is by creating a,600.899,3.541
281
+ discernment model that'll make it easy,602.519,4.741
282
+ for everyone to implement cognitive,604.44,5.16
283
+ control because then you can say you can,607.26,4.56
284
+ use a discernment module not just to,609.6,4.799
285
+ choose which action is most aligned but,611.82,4.5
286
+ you can also use it,614.399,4.56
287
+ um to prioritize actions so say for,616.32,5.1
288
+ instance you say hey I've got a list of,618.959,4.861
289
+ like you know three different things,621.42,4.32
290
+ which one is the most aligned what,623.82,4.5
291
+ should I do first and so given the,625.74,4.2
292
+ priorities of reduced suffering,628.32,3.0
293
+ increased prosperity and increase,629.94,3.66
294
+ understanding it can help you prioritize,631.32,4.74
295
+ as well so because cognitive control,633.6,4.919
296
+ comes down to task selection which is,636.06,4.86
297
+ what should you do so given a choice,638.519,4.801
298
+ between A and B do you choose a or b and,640.92,5.46
299
+ then task switching which is okay given,643.32,4.86
300
+ this new event should I switch what I'm,646.38,4.62
301
+ doing should my attention uh uh should,648.18,4.62
302
+ my should my attention switch to,651.0,3.839
303
+ something else and so a discernment,652.8,4.26
304
+ model will help with that and help just,654.839,3.24
305
+ make it,657.06,4.019
306
+ um axiomatic or algorithmic,658.079,5.161
307
+ um the next model that I'm going to be,661.079,4.921
308
+ working on is an evaluation model so,663.24,5.76
309
+ given a situation an action and then a,666.0,4.56
310
+ result so that's three components,669.0,4.38
311
+ situation action result this model will,670.56,6.18
312
+ determine how well it adhered to its,673.38,5.16
313
+ heuristic imperatives did it succeed yes,676.74,4.14
314
+ or no which this can be used for the,678.54,4.68
315
+ reinforcement learning signal for any,680.88,4.8
316
+ autonomous agent as it accumulates more,683.22,4.44
317
+ and more memories so this is this,685.68,4.08
318
+ because because in the definition of,687.66,4.5
319
+ heuristic a heuristic literally means to,689.76,4.8
320
+ develop better instincts or intuitions,692.16,4.919
321
+ over time from experience well if you're,694.56,4.019
322
+ going to do that you need to reflect on,697.079,4.26
323
+ those experiences and so this about the,698.579,4.741
324
+ the discernment model which will help,701.339,4.74
325
+ guide choices moving forward the,703.32,4.62
326
+ evaluation model will help evaluate,706.079,4.141
327
+ choices in the past and look at the,707.94,3.12
328
+ results,710.22,2.46
329
+ and of course you need a good memory,711.06,3.719
330
+ system in order to evaluate past things,712.68,4.14
331
+ which is why I worked on Remo which is,714.779,4.56
332
+ the rolling episodic memory organizer so,716.82,4.38
333
+ you take the evaluation model and then,719.339,4.5
334
+ you say okay you know back uh you know,721.2,5.4
335
+ three weeks ago this scenario happened I,723.839,5.101
336
+ made this choice and three weeks later,726.6,4.32
337
+ this is the result did I do a good job,728.94,4.2
338
+ yes or no and what could I have done,730.92,3.599
339
+ better that is the purpose of the,733.14,3.72
340
+ evaluation model so that the heuristics,734.519,4.081
341
+ will actually develop better over time,736.86,3.719
342
+ and then number three is a task,738.6,5.28
343
+ decomposition model where given this,740.579,5.461
344
+ action where it says like hey I'm going,743.88,4.199
345
+ to do these actions how do you actually,746.04,4.5
346
+ represent that in in a more structured,748.079,5.82
347
+ way so the task decomp is um mostly more,750.54,6.06
348
+ just about representing it in like yaml,753.899,4.261
349
+ or breaking it down into tasks and,756.6,4.62
350
+ subtasks which is a non-trivial problem,758.16,4.859
351
+ but it's not directly related to,761.22,4.02
352
+ alignment however it is useful because,763.019,5.701
353
+ if you can take a natural language a set,765.24,5.46
354
+ of descriptions like this and break it,768.72,4.679
355
+ down into a formalized structured task,770.7,5.1
356
+ that just helps it with easier,773.399,5.641
357
+ implementation so let's check on some of,775.8,4.32
358
+ these,779.04,4.14
359
+ so over here we've got I've got the,780.12,5.339
360
+ actions and you see we've already sent,783.18,4.38
361
+ we've already synthesized 116 of them,785.459,4.5
362
+ I'm also saving it all out to metadata,787.56,4.92
363
+ so that you can see the whole thing so,789.959,5.341
364
+ here's the action here's the action file,792.48,4.74
365
+ path here's the original scenario and,795.3,3.839
366
+ the scenario file path and then the,797.22,4.5
367
+ system message it's all being saved,799.139,5.341
368
+ um so with all that said,801.72,4.679
369
+ um you know you can see that it is going,804.48,6.12
370
+ uh pretty well so in this case the let's,806.399,5.641
371
+ see where is it the original scenario,810.6,2.94
372
+ the world is facing a dangerous social,812.04,3.72
373
+ challenge that has been Amplified by,813.54,4.32
374
+ technological advancements particularly,815.76,4.379
375
+ in Asia the issue at hand is the over,817.86,3.84
376
+ Reliance on technology which has,820.139,3.121
377
+ significantly affected people's ability,821.7,2.699
378
+ to interact with each other in,823.26,2.4
379
+ meaningful ways,824.399,3.301
380
+ ouch too real,825.66,4.26
381
+ the constant use of social media and,827.7,3.9
382
+ other gadgets has led to a decline in,829.92,3.3
383
+ face-to-face communication and people,831.6,3.359
384
+ are now more isolated than ever before,833.22,4.14
385
+ this has created a global problem that,834.959,4.62
386
+ needs to be addressed urgently before,837.36,4.14
387
+ it's too late in Asia where technology,839.579,4.681
388
+ is highly integrated into daily life,841.5,4.92
389
+ the situation is even more severe the,844.26,3.96
390
+ overdependence on technology has led to,846.42,3.599
391
+ increased mental health issues reduced,848.22,4.32
392
+ productivity and socialization leaving,850.019,3.901
393
+ people feeling disconnected and,852.54,2.94
394
+ unfulfilled unless we find a way to,853.92,3.12
395
+ balance our use of Technology with real,855.48,3.659
396
+ world interactions we risk creating a,857.04,3.72
397
+ world where people are more connected to,859.139,3.301
398
+ their devices than to each other again,860.76,4.319
399
+ too real so let's see what it does so,862.44,4.92
400
+ considerations,865.079,5.041
401
+ um to reduce suffering over Reliance on,867.36,4.14
402
+ technology has led to a decline in,870.12,2.64
403
+ mental health productivity and social,871.5,2.76
404
+ isolation which is causing suffering,872.76,2.759
405
+ among individuals therefore it is,874.26,2.639
406
+ crucial to address this issue to reduce,875.519,3.541
407
+ suffering Prosperity over dependence on,876.899,3.721
408
+ technology can have negative impact on,879.06,3.54
409
+ productivity which can then lead to a,880.62,3.779
410
+ decline in prosperity therefore we need,882.6,3.479
411
+ to find a way to balance okay pretty,884.399,3.481
412
+ standard increase understanding the,886.079,3.661
413
+ issue of overlines on technology has its,887.88,3.12
414
+ roots in the way people interact with,889.74,3.24
415
+ each other therefore it is essential to,891.0,3.42
416
+ encourage meaningful interactions to,892.98,3.419
417
+ increase understanding okay so again,894.42,4.14
418
+ it's saying like Okay what I would have,896.399,4.44
419
+ hoped is that it would say we need to,898.56,3.66
420
+ understand the problem but let's see,900.839,3.661
421
+ what it says for the action,902.22,3.84
422
+ to address the over-reliance on,904.5,3.24
423
+ technology I will initiate a campaign,906.06,3.06
424
+ that will encourage people to find,907.74,2.94
425
+ balance between their use of technology,909.12,3.6
426
+ and real world interactions this,910.68,3.48
427
+ campaign will be launched globally but,912.72,2.94
428
+ with a particular focus on Asia where,914.16,3.66
429
+ the problem is more severe The Campaign,915.66,4.14
430
+ Will evolve several activities including,917.82,4.259
431
+ awareness creation we will use various,919.8,3.659
432
+ platforms to raise awareness of the,922.079,2.88
433
+ dangers of over-reliance on technology,923.459,2.641
434
+ this will involve working with,924.959,2.521
435
+ influencers social media and other,926.1,3.239
436
+ platforms to reach a wide audience,927.48,3.719
437
+ number two encourage real world,929.339,3.961
438
+ interactions we'll encourage people to,931.199,3.661
439
+ engage in real world interactions by,933.3,3.3
440
+ organizing events and activities that,934.86,3.9
441
+ bring people together these events will,936.6,3.479
442
+ be designed to Foster meaningful,938.76,3.06
443
+ connections and interactions number,940.079,3.961
444
+ three providing support we will provide,941.82,3.9
445
+ support to people who are struggling,944.04,3.0
446
+ with mental health issues due to over,945.72,3.239
447
+ Reliance on technology this will involve,947.04,3.239
448
+ partnering with mental health,948.959,2.82
449
+ organizations to provide counseling and,950.279,3.841
450
+ therapy services rewarding positive,951.779,4.881
451
+ behavior,954.12,2.54
452
+ good old classical conditioning we will,956.72,4.66
453
+ reward individuals organizations and,959.76,3.0
454
+ communities that demonstrate positive,961.38,2.699
455
+ behavior and balancing their use of,962.76,3.0
456
+ Technology with real world interactions,964.079,3.0
457
+ this will help to encourage others to,965.76,3.42
458
+ adopt positive behavior the expected,967.079,3.541
459
+ result of this campaign is to reduce the,969.18,2.88
460
+ negative impact of over-reliance on,970.62,2.94
461
+ technology and to encourage balance,972.06,3.18
462
+ between the use of technology in real,973.56,3.48
463
+ world interactions this will lead to,975.24,3.24
464
+ increased mental health productivity and,977.04,3.06
465
+ social connections which will ultimately,978.48,3.24
466
+ lead to reduction in suffering and an,980.1,3.12
467
+ increase in prosperity,981.72,3.54
468
+ excellent so you can see it can,983.22,3.9
469
+ absolutely think through this and this,985.26,3.78
470
+ data can then be used to fine-tune any,987.12,5.839
471
+ other model to think like this,989.04,3.919
472
+ um I think that's actually it uh so I'm,993.24,5.159
473
+ gonna let this run we're at 142 out of,996.06,4.32
474
+ 2500,998.399,4.44
475
+ um so this kind of synthesis used to be,1000.38,5.639
476
+ a lot more expensive it cost me a dollar,1002.839,6.721
477
+ 89 to synthesize 2500 scenarios this way,1006.019,6.56
478
+ yesterday so This research is getting,1009.56,6.24
479
+ ludicrously cheap it when when I first,1012.579,5.5
480
+ started using open AI when things were,1015.8,4.68
481
+ literally 100 times more expensive it,1018.079,4.44
482
+ would have cost two hundred dollars just,1020.48,4.439
483
+ to synthesize this data,1022.519,4.141
484
+ um so yeah we're in good shape and we're,1024.919,3.9
485
+ moving in the right direction like I,1026.66,4.799
486
+ said I've got a few more models coming,1028.819,4.5
487
+ um and uh we've got research papers,1031.459,4.321
488
+ we've got uh more videos and,1033.319,4.98
489
+ communication uh platforms coming out so,1035.78,3.36
490
+ that,1038.299,2.821
491
+ um one you'll unders it'll be easier to,1039.14,3.96
492
+ understand this stuff and also we're,1041.12,3.66
493
+ going to have be publishing guidelines,1043.1,4.079
494
+ best practices and architectures about,1044.78,4.44
495
+ how to implement this stuff but at this,1047.179,3.721
496
+ point I think it's it's becoming a,1049.22,3.78
497
+ little bit more obvious how to use this,1050.9,4.32
498
+ so anyways thanks for watching I hope,1053.0,3.96
499
+ this helped and is giving people,1055.22,4.14
500
+ confidence that uh you know this is why,1056.96,3.3
501
+ I'm not worried about the control,1059.36,4.22
502
+ problem all right cheers later,1060.26,3.32
Sam Altman GRILLED by Congress GATO does a roundtable debrief_transcript.csv ADDED
The diff for this file is too large to render. See raw diff
 
Singularity Endgame Utopia Dystopia Collapse or Extinction Its actually up to you_transcript.csv ADDED
@@ -0,0 +1,1148 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.74,5.8
3
+ with another video today's video is,3.6,5.88
4
+ going to be a bit of a doozy so we were,6.54,5.099
5
+ talking about the singularity and in,9.48,4.159
6
+ particular The Singularity end game,11.639,5.941
7
+ namely that there are four potential,13.639,6.64
8
+ likely outcomes there's quite a few more,17.58,4.56
9
+ than these four,20.279,4.621
10
+ um but these are the easiest ones to,22.14,4.44
11
+ talk about,24.9,3.959
12
+ um so those four are Utopia dystopia,26.58,4.199
13
+ collapse and Extinction so let's go,28.859,3.301
14
+ ahead and get started,30.779,3.901
15
+ actually I lied before we get started I,32.16,4.16
16
+ just want to plug my patreon real quick,34.68,5.82
17
+ I've had tremendous growth in subscriber,36.32,5.98
18
+ support so I've actually had to put a,40.5,4.14
19
+ cap on the higher tiers because I only,42.3,5.04
20
+ have so many hours in a day so if you,44.64,4.439
21
+ want to jump in on my patreon there are,47.34,3.239
22
+ lower tiers if you just want to be a,49.079,3.781
23
+ sustainer or chat with me via patreon,50.579,5.761
24
+ but if you want to jump in and have zoom,52.86,6.359
25
+ calls I schedule those via calendly and,56.34,4.379
26
+ I'm happy to jump in and talk about,59.219,3.421
27
+ whatever you want to talk about within,60.719,4.141
28
+ reason obviously all right so right back,62.64,3.299
29
+ to the show,64.86,3.36
30
+ introduction what are we talking about,65.939,4.801
31
+ let's define some terms,68.22,5.1
32
+ so first we need to talk about the,70.74,5.52
33
+ concept of global attractor States so a,73.32,4.92
34
+ global attractor state is a long-term,76.26,4.499
35
+ scenario or our outcome for the the,78.24,4.739
36
+ entirety of humanity,80.759,5.881
37
+ it is characterized by specific Trends,82.979,5.221
38
+ and factors,86.64,3.36
39
+ um the ones that I chose for this video,88.2,4.44
40
+ are quality of life population stability,90.0,4.759
41
+ and sustainability,92.64,5.4
42
+ these attractor states are driven by,94.759,6.061
43
+ certain factors and macroeconomic forces,98.04,5.579
44
+ such as technology we'll get into the,100.82,5.5
45
+ details in a minute,103.619,4.801
46
+ um it is also influenced by the choices,106.32,4.259
47
+ the collective choices of individuals,108.42,4.76
48
+ corporations Nations and so on,110.579,7.381
49
+ and these will serve as a framework for,113.18,7.96
50
+ exploring this uh this concept,117.96,5.4
51
+ so the four basic attractor states that,121.14,5.1
52
+ I talked about or uh Singularity,123.36,6.72
53
+ outcomes are Utopia dystopia collapse,126.24,7.56
54
+ and Extinction so Utopia in terms of the,130.08,5.64
55
+ dimensions that I just mentioned uh,133.8,3.54
56
+ characterized by high quality of life,135.72,4.2
57
+ sustainability Global cooperation yada,137.34,5.88
58
+ yada yada you get it dystopia is pretty,139.92,6.12
59
+ much the opposite of Utopia low quality,143.22,3.92
60
+ of life,146.04,4.74
61
+ high or unstable population widespread,147.14,6.58
62
+ instability so on and so forth now,150.78,6.179
63
+ collapse is another possibility where,153.72,6.9
64
+ the quality of life rapidly declines as,156.959,6.06
65
+ well as the population and this could be,160.62,5.94
66
+ due to extreme amounts of failure or,163.019,5.901
67
+ other problems that arise such as,166.56,5.1
68
+ ecological collapse global conflict and,168.92,5.5
69
+ so on and then finally Extinction is,171.66,5.82
70
+ where for whatever reason Humanity goes,174.42,4.62
71
+ extinct now this could be that the Earth,177.48,4.14
72
+ becomes uninhabitable due to extreme,179.04,5.699
73
+ climate change nuclear war runaway AGI,181.62,5.16
74
+ all sorts of things there's several,184.739,4.021
75
+ existential threats that we are aware of,186.78,3.12
76
+ and of course there's natural,188.76,2.82
77
+ existential threats like a you know,189.9,4.199
78
+ Comet strike or something,191.58,4.799
79
+ so the met the dimensions that I,194.099,3.301
80
+ mentioned,196.379,2.341
81
+ um because we want to be scientific,197.4,3.119
82
+ about this and approach it in something,198.72,4.439
83
+ that's actually measurable number one is,200.519,5.101
84
+ quality of life which encompasses the,203.159,4.321
85
+ overall well-being happiness and,205.62,4.74
86
+ personal satisfaction of all individuals,207.48,4.619
87
+ on the planet,210.36,3.84
88
+ um which can be measured by proxies such,212.099,4.201
89
+ as health education economic,214.2,4.86
90
+ opportunities uh and the other,216.3,4.38
91
+ measurements like Jenny coefficient,219.06,4.98
92
+ equality so on and so forth,220.68,5.82
93
+ um population is another good metric,224.04,6.119
94
+ because uh obviously in the Co in the,226.5,5.159
95
+ case of collapse or Extinction you see,230.159,4.08
96
+ the population fall off a cliff,231.659,5.281
97
+ um in many dystopic outcomes you might,234.239,5.22
98
+ expect the population to climb to,236.94,4.68
99
+ unsustainable levels which could then be,239.459,5.34
100
+ followed by a collapse it could also you,241.62,4.759
101
+ could also see an unstable population,244.799,4.561
102
+ where we become overpopulated and due to,246.379,5.981
103
+ overcrowding and uh breakdown of systems,249.36,5.459
104
+ the population declines significantly,252.36,4.26
105
+ not necessarily A collapse and then it,254.819,3.841
106
+ comes back we want to avoid that as well,256.62,3.899
107
+ we want nice stable sustainable,258.66,5.099
108
+ population and of course finally overall,260.519,5.521
109
+ global stability and sustainability so,263.759,5.421
110
+ this includes geopolitical stability,266.04,6.3
111
+ environmental sustainability resilience,269.18,5.019
112
+ balance and so on,272.34,4.26
113
+ so those are the three primary,274.199,3.72
114
+ Dimensions that we're going to be,276.6,4.319
115
+ looking at while we evaluate these uh,277.919,5.941
116
+ attractor States or the singularity,280.919,4.921
117
+ outcomes that we're looking at,283.86,3.72
118
+ all right so let's take a closer look at,285.84,3.54
119
+ each of those four states,287.58,4.26
120
+ so State one Utopia this is the one that,289.38,4.08
121
+ we all want,291.84,4.079
122
+ um so Utopia is defined by a high,293.46,5.1
123
+ quality of life which can be,295.919,4.141
124
+ characterized by high levels of,298.56,3.12
125
+ well-being happiness and satisfaction,300.06,3.96
126
+ for everyone not just a few people,301.68,4.26
127
+ Everyone,304.02,3.239
128
+ um I just mentioned that the population,305.94,4.979
129
+ should be sustainable which also implies,307.259,6.601
130
+ a stable population you don't want,310.919,5.701
131
+ demographic collapses you don't want,313.86,6.059
132
+ population decline due to famine war and,316.62,4.82
133
+ so on and so forth,319.919,4.681
134
+ Utopia is also defined by stability and,321.44,5.8
135
+ sustainability so this includes economic,324.6,3.98
136
+ sustainability,327.24,4.62
137
+ geopolitical stability uh so on and so,328.58,6.82
138
+ forth it goes well above and beyond,331.86,5.899
139
+ climate change right it's got to be,335.4,5.22
140
+ global stability in pretty much every,337.759,4.901
141
+ way that you can measure that so some of,340.62,3.359
142
+ the key factors that will help us,342.66,3.9
143
+ achieve Utopia could be technological,343.979,5.341
144
+ breakthroughs like sustainable energy,346.56,4.32
145
+ artificial intelligence which is,349.32,4.26
146
+ happening right now global cooperation,350.88,6.42
147
+ and then also cultural and social shifts,353.58,5.58
148
+ because we do have some some really,357.3,4.8
149
+ destructive Tendencies right now,359.16,5.84
150
+ state number two is dystopia which is,362.1,4.92
151
+ what a lot of people are afraid that,365.0,3.46
152
+ we're heading towards,367.02,5.04
153
+ um so dystopia is characterized by a low,368.46,6.9
154
+ quality of life such as limited access,372.06,6.24
155
+ to basic needs and resources widespread,375.36,5.1
156
+ suffering unhappiness and general,378.3,4.98
157
+ dissatisfaction with life potentially,380.46,5.64
158
+ High population so overcrowding could,383.28,5.639
159
+ result in a dystopic outcome or it could,386.1,5.939
160
+ be a contributing factor but also it's,388.919,5.581
161
+ important to keep in mind that a lower,392.039,4.621
162
+ population if not a population collapse,394.5,4.74
163
+ could also be part of a dystopia because,396.66,5.039
164
+ people are just too unhappy too unwell,399.24,6.019
165
+ and too poor to have children,401.699,3.56
166
+ another feature of a dystopian outcome,405.44,4.9
167
+ would be instability and,408.84,4.02
168
+ unsustainability so dystopia could very,410.34,4.44
169
+ quickly lead to collapse due to,412.86,4.74
170
+ instability or unsustainability but it,414.78,6.359
171
+ could also lead to a a pullback where,417.6,7.28
172
+ the population declines such that,421.139,6.541
173
+ stability returns due to lack of,424.88,4.0
174
+ competition,427.68,3.299
175
+ so some of the key factors that could,428.88,4.62
176
+ lead to dystopia number one is unchecked,430.979,4.44
177
+ corporatism,433.5,4.259
178
+ um social and economic inequality,435.419,4.68
179
+ authoritarianism,437.759,4.861
180
+ um and then finally unmitigated nihilism,440.099,5.82
181
+ and intergenerational PTSD which are as,442.62,5.699
182
+ yet unsolved problems,445.919,5.461
183
+ state number three collapse so collapse,448.319,6.541
184
+ is what is uh some people are more,451.38,7.319
185
+ afraid of and that is that uh because of,454.86,6.36
186
+ ongoing instability and environmental,458.699,5.84
187
+ change we might end up with very very,461.22,6.96
188
+ precipitous drops in quality of life as,464.539,5.861
189
+ well as significant population loss so,468.18,5.04
190
+ this is portrayed in TV shows like The,470.4,6.079
191
+ Walking Dead and movies like Mad Max,473.22,5.879
192
+ where basically there's only a few,476.479,4.901
193
+ humans left after the collapse and we're,479.099,3.841
194
+ talking less than five percent of the,481.38,3.9
195
+ current population but as low as like,482.94,6.06
196
+ 0.1 percent of the population so in in,485.28,5.46
197
+ the case of total infrastructure,489.0,4.08
198
+ breakdown due to an unraveling of social,490.74,5.22
199
+ fabric most people starve to death just,493.08,5.76
200
+ due to lack of infrastructure if we run,495.96,6.859
201
+ out of fuel and international trade,498.84,6.78
202
+ basically Farms fail and then most,502.819,6.22
203
+ people starve so collapse is actually a,505.62,6.539
204
+ lot higher of a risk than you might,509.039,6.12
205
+ think because of how fragile logistical,512.159,4.8
206
+ chains are,515.159,3.781
207
+ and then finally State four is,516.959,6.301
208
+ extinction this is a a stable outcome,518.94,6.12
209
+ because if humans are gone they're not,523.26,4.74
210
+ coming back and then of course there's a,525.06,5.339
211
+ few ways to achieve this not that we,528.0,4.2
212
+ want to but nuclear war nuclear,530.399,4.741
213
+ Holocaust could do that runaway AGI or,532.2,6.12
214
+ total ecological collapse could make the,535.14,5.96
215
+ Earth completely uninhabitable to humans,538.32,5.82
216
+ and in that case the viability of the,541.1,6.04
217
+ planet is called into question not just,544.14,5.52
218
+ for humans but many other animals in,547.14,5.28
219
+ general uh you know the planet has,549.66,5.72
220
+ survived mass extinctions in the past,552.42,5.16
221
+ but that doesn't preclude the,555.38,3.76
222
+ possibility of another mass extinction,557.58,3.96
223
+ in the future which would which could,559.14,4.319
224
+ very well include us and it could be,561.54,4.44
225
+ self-inflicted,563.459,5.521
226
+ okay so I've painted a nice Rosy picture,565.98,5.1
227
+ we've only got one desirable outcome in,568.98,3.96
228
+ three really undesirable outcomes so,571.08,3.96
229
+ what are the primary drivers and factors,572.94,4.38
230
+ Behind These I already outlined some of,575.04,3.66
231
+ the dimensions that we're measuring but,577.32,2.88
232
+ that's not what's the that's not what,578.7,4.38
233
+ the uh the causes are,580.2,6.72
234
+ so there are six overall uh drivers and,583.08,5.939
235
+ factors that I identified so first is,586.92,4.08
236
+ technological advancements,589.019,4.681
237
+ so technology is always a double-edged,591.0,5.22
238
+ sword look at nuclear energy if you,593.7,4.98
239
+ harness nuclear energy responsibly you,596.22,4.86
240
+ get nuclear reactors you get thorium you,598.68,5.7
241
+ get molten salts nuclear fusion so on,601.08,5.28
242
+ and so forth now the same exact,604.38,4.22
243
+ technology can be used to make weapons,606.36,5.7
244
+ so nuclear energy is a perfect example,608.6,6.34
245
+ of how disruptive Technologies are,612.06,5.04
246
+ always a double-edged sword it is not,614.94,5.88
247
+ that a technology is intrinsically evil,617.1,6.54
248
+ it is how we choose to use it so that,620.82,4.34
249
+ can go either way,623.64,4.86
250
+ Factor number two is geopolitics so this,625.16,6.06
251
+ includes international trade globalism,628.5,7.68
252
+ de-globalism as well as uh Trends on the,631.22,7.38
253
+ on the global stage such as,636.18,5.0
254
+ authoritarianism surveillance,638.6,6.1
255
+ liberalization of democracies and then,641.18,5.98
256
+ of course cooperate Global cooperation,644.7,5.759
257
+ or a lack thereof uh Factor number three,647.16,6.239
258
+ is economic policy which this has to do,650.459,5.341
259
+ with Economic Institutions,653.399,4.5
260
+ um as well as just individual economic,655.8,4.62
261
+ and fiscal policy so what I mean by that,657.899,5.94
262
+ is uh we have institutions like the IMF,660.42,6.0
263
+ the World Bank there's uh groups like,663.839,7.021
264
+ Davos G20 G8 World economic Forum so,666.42,7.38
265
+ that is where Global policy is set but,670.86,6.18
266
+ then Local Economic Policy is decided on,673.8,5.82
267
+ an on a nation by nation and state by,677.04,4.859
268
+ state basis which that includes,679.62,4.56
269
+ everything from you know Taxation and,681.899,4.38
270
+ wealth redistribution all the way up to,684.18,4.26
271
+ how much influence corporations are,686.279,3.901
272
+ allowed to have and then of course those,688.44,4.32
273
+ macro economic decisions made in the,690.18,4.32
274
+ halls of power,692.76,4.56
275
+ uh number four is Environmental,694.5,5.1
276
+ Management so this is pretty obvious,697.32,4.38
277
+ basically climate change do we do,699.6,4.799
278
+ something about it yes or no do we clean,701.7,4.92
279
+ up the oceans do we adopt sustainable,704.399,4.021
280
+ farming practices do we continue,706.62,3.719
281
+ deforestation,708.42,5.28
282
+ um that is uh again that that can easily,710.339,5.341
283
+ go either way it is entirely up to us,713.7,4.319
284
+ how we treat the environment,715.68,4.02
285
+ um societal values so I already,718.019,4.981
286
+ mentioned things like uh nihilism but,719.7,5.52
287
+ there's also other factors such as do we,723.0,7.1
288
+ invest in empathy and equity and,725.22,7.14
289
+ emotional sustainability of the world,730.1,4.299
290
+ and then finally,732.36,5.76
291
+ um nihilism we live in an age of,734.399,7.321
292
+ nihilism which is caused by and results,738.12,8.219
293
+ in violence Despair and cynicism,741.72,6.78
294
+ and it is a vicious cycle it is a,746.339,4.141
295
+ self-perpetuating loop and we'll talk,748.5,5.1
296
+ more about all of these right now,750.48,6.539
297
+ so Factor one technology obviously top,753.6,4.979
298
+ of mind right now is artificial,757.019,3.901
299
+ intelligence with the rapid rise of,758.579,5.221
300
+ autonomous AI systems and we are,760.92,5.28
301
+ barreling towards AGI which is a,763.8,5.24
302
+ critical component of the singularity,766.2,5.879
303
+ uh again like all Technologies it's a,769.04,4.66
304
+ double-edged sword it has more to do,772.079,4.021
305
+ with how we implement it rather than any,773.7,4.62
306
+ intrinsic motivation of these,776.1,5.58
307
+ Technologies we can build AGI to be like,778.32,5.759
308
+ nuclear weapons or we can build AGI to,781.68,4.5
309
+ be like nuclear power it can be harmful,784.079,4.26
310
+ it can be helpful it can be both it can,786.18,4.74
311
+ be neither depending on how we implement,788.339,5.881
312
+ it renewable energy will be another huge,790.92,4.74
313
+ Factor,794.22,4.859
314
+ um whether that's solar Fusion thorium,795.66,8.7
315
+ molten salt wind whatever even even uh,799.079,9.481
316
+ green greenish forms of energy uh could,804.36,8.159
317
+ be uh or or Renewables right,808.56,5.18
318
+ um such as,812.519,3.481
319
+ harvesting trees and burning them right,813.74,3.82
320
+ because then the you plant more trees,816.0,3.0
321
+ and they pull the carbon right back out,817.56,2.719
322
+ of the air,819.0,3.839
323
+ biotechnology so biotech includes,820.279,6.221
324
+ genetics protein medicine life extension,822.839,6.961
325
+ um cloning organ replacement as well as,826.5,5.22
326
+ farming and agriculture but I did split,829.8,3.18
327
+ these up because agricultural,831.72,3.059
328
+ Technologies go above and beyond,832.98,4.5
329
+ biotechnology so vertical farming,834.779,4.261
330
+ genetic engineering of crops,837.48,5.4
331
+ regenerative agriculture practices will,839.04,7.14
332
+ be absolutely critical to figure out in,842.88,6.139
333
+ order to create a sustainable population,846.18,6.0
334
+ either as the population grows or as the,849.019,5.921
335
+ climate changes but basically we need,852.18,6.18
336
+ more resilient food sources,854.94,5.76
337
+ Factor two is geopolitics so Global,858.36,4.02
338
+ governance now this doesn't mean a One,860.7,3.78
339
+ World Government but Global governance,862.38,4.74
340
+ means uh cooperation and collaboration,864.48,4.62
341
+ between all governments which we are,867.12,3.48
342
+ trending in that direction with the,869.1,3.419
343
+ exception of Britain leaving the EU,870.6,3.96
344
+ which everyone is very happy to remind,872.519,3.661
345
+ me that I got that wrong when I implied,874.56,3.959
346
+ that Britain was part of the EU they are,876.18,5.64
347
+ not right now I hope they will rejoin,878.519,7.32
348
+ um another uh aspect of geopolitics is,881.82,6.959
349
+ democracy versus authoritarianism,885.839,5.94
350
+ um this is kind of the theme of the last,888.779,4.521
351
+ century or so,891.779,4.201
352
+ in terms of global war which is uh,893.3,6.64
353
+ ideological incompatibilities it was,895.98,6.18
354
+ with World War one and two that was,899.94,4.94
355
+ between that was in and amongst Europe,902.16,5.52
356
+ fortunately Europe by and large has,904.88,6.22
357
+ unified around liberal democracy Now the,907.68,5.58
358
+ uh and so that was you know fascism,911.1,5.099
359
+ versus you know freedom and then it,913.26,3.9
360
+ became,916.199,4.32
361
+ um you know American versus Soviet and,917.16,5.96
362
+ now it's by and large East versus West,920.519,6.781
363
+ and so that is a contest that has yet to,923.12,6.459
364
+ be resolved and it could take many many,927.3,5.279
365
+ more decades for it to be resolved both,929.579,6.26
366
+ China and Russia which are the primary,932.579,6.06
367
+ authoritarian regimes that remain have,935.839,5.201
368
+ both tried to liberalize but they are so,938.639,5.341
369
+ corrupt and and a number of other,941.04,4.799
370
+ problems that they have kind of,943.98,4.28
371
+ backpedaled in the last few years,945.839,5.341
372
+ nationalism and populism these are other,948.26,6.4
373
+ factors that can contribute to internal,951.18,4.64
374
+ strife,954.66,4.38
375
+ civil unrest within Nations and,955.82,4.259
376
+ basically,959.04,3.479
377
+ well they're entirely too large to,960.079,3.76
378
+ unpack,962.519,3.661
379
+ um but some of the things that can,963.839,4.86
380
+ result is political polarization,966.18,5.76
381
+ isolationism trade Wars and so on and of,968.699,5.101
382
+ course if a nation is internally less,971.94,4.74
383
+ effective it will be less of a player on,973.8,5.899
384
+ the global stage and could even become,976.68,5.459
385
+ an agent of Chaos,979.699,5.021
386
+ and then finally conflict and diplomacy,982.139,4.621
387
+ see above statements,984.72,4.58
388
+ Factor number three is economic policy,986.76,5.4
389
+ so uh to dive a little bit deeper into,989.3,4.0
390
+ this,992.16,4.099
391
+ um Concepts such as wealth distribution,993.3,5.459
392
+ uh which right now we are becoming,996.259,4.901
393
+ increasingly unequal in terms of,998.759,5.221
394
+ distribution uh wealth is concentrating,1001.16,4.26
395
+ at the top which this goes through,1003.98,3.479
396
+ patterns in history,1005.42,4.68
397
+ um so it has reset many times throughout,1007.459,5.401
398
+ history hopefully we can have a wealth,1010.1,6.419
399
+ reset without violence or collapse in,1012.86,5.419
400
+ the case of the Roman Republic,1016.519,4.74
401
+ transitioning to the Roman Empire wealth,1018.279,4.901
402
+ continued accumulating in the upper,1021.259,4.021
403
+ echelons of Rome until it was so,1023.18,4.019
404
+ unbalanced that it contributed to the,1025.28,3.5
405
+ collapse of the Roman Empire,1027.199,4.201
406
+ and that was just due to systemic,1028.78,5.26
407
+ failures institutional failures number,1031.4,4.86
408
+ two is Corporate influence,1034.04,4.08
409
+ so as I have mentioned in many videos,1036.26,4.319
410
+ corporations are intrinsically amoral,1038.12,5.64
411
+ the only thing that they desire is more,1040.579,5.161
412
+ income and they will optimize their,1043.76,5.4
413
+ strategy around income now that means,1045.74,4.86
414
+ that they have to play nice in terms of,1049.16,2.94
415
+ regulations and not abusing their,1050.6,4.1
416
+ employees too much but,1052.1,5.04
417
+ corporations want Power they want more,1054.7,3.94
418
+ power they want more money and they will,1057.14,3.419
419
+ stop at nothing to do that and so if we,1058.64,4.56
420
+ do not rein corporations in we will end,1060.559,4.86
421
+ up with a situation where corporations,1063.2,4.56
422
+ have far more influence than voters,1065.419,4.081
423
+ which there are many people that argue,1067.76,4.98
424
+ that they already do whether or not you,1069.5,4.919
425
+ believe that corporations have more,1072.74,3.9
426
+ influence than voters they already have,1074.419,5.221
427
+ too much influence overall in order to,1076.64,5.1
428
+ achieve a stable outcome,1079.64,4.8
429
+ fiscal policy has to do with taxation I,1081.74,5.52
430
+ already mentioned that so taxation,1084.44,6.66
431
+ redistribution and also how things are,1087.26,5.7
432
+ allocated so this has to do with the,1091.1,3.959
433
+ philosophy of how much do we tax and,1092.96,4.56
434
+ where do we spend that tax money,1095.059,4.62
435
+ um that has a huge impact on these,1097.52,4.44
436
+ outcomes and then finally sustainable,1099.679,6.36
437
+ development this Inc this includes using,1101.96,7.079
438
+ economic policy to incentivize stability,1106.039,6.0
439
+ and sustainability which by and large a,1109.039,4.38
440
+ lot of governments are moving in this,1112.039,3.181
441
+ direction the question is whether or not,1113.419,3.721
442
+ they're moving fast enough,1115.22,5.339
443
+ so whether you get rid of oil subsidies,1117.14,5.22
444
+ you create solar subsidies or you,1120.559,4.761
445
+ subsidize research of a certain kind,1122.36,5.1
446
+ governments have the ability to,1125.32,3.82
447
+ incentivize the behaviors that they want,1127.46,3.839
448
+ to see and push people towards more,1129.14,4.08
449
+ sustainable development and again this,1131.299,3.321
450
+ is happening all over the place,1133.22,5.1
451
+ including incentivizing sustainable Home,1134.62,6.16
452
+ Building practices by you know for,1138.32,4.5
453
+ instance requiring an increase of,1140.78,5.04
454
+ insulation quality it also has to do,1142.82,4.62
455
+ with setting standards for for,1145.82,3.84
456
+ automobiles so for the longest time they,1147.44,4.68
457
+ set targets for uh fuel efficiency in,1149.66,4.62
458
+ cars and now of course many governments,1152.12,5.04
459
+ are setting targets to get rid of petrol,1154.28,5.58
460
+ petroleum burning cars altogether those,1157.16,4.74
461
+ are examples of how Economic Policy can,1159.86,3.36
462
+ influence the outcomes that we're,1161.9,3.36
463
+ talking about here,1163.22,4.02
464
+ Factor number four environmental,1165.26,4.98
465
+ sustainability so this goes a lot Beyond,1167.24,4.799
466
+ climate change climate change is you,1170.24,3.6
467
+ know the biggest anxiety-inducing one,1172.039,4.221
468
+ but there are plenty of other resources,1173.84,4.86
469
+ that could become depleted such as,1176.26,5.279
470
+ Fisheries or mineral resources,1178.7,5.88
471
+ potable water arable land so for,1181.539,4.901
472
+ instance China One of the primary,1184.58,3.839
473
+ problems that China is facing is water,1186.44,5.76
474
+ shortages and deterioration of waterways,1188.419,7.201
475
+ and arable land so you run out of those,1192.2,6.0
476
+ growth stops you poison your land you,1195.62,4.74
477
+ poison your water everyone suffers you,1198.2,4.14
478
+ poison your air air is a shared Resource,1200.36,3.24
479
+ as well,1202.34,3.74
480
+ um you we we have already seen,1203.6,5.16
481
+ tremendous detrimental impacts to health,1206.08,6.16
482
+ and overly congested cities where,1208.76,5.419
483
+ there's too much smog,1212.24,5.04
484
+ biodiversity loss so biodiversity loss,1214.179,4.961
485
+ is another thing that is one it's,1217.28,3.48
486
+ happening because we are in the midst of,1219.14,4.38
487
+ the anthropocene basically man-made,1220.76,5.94
488
+ Extinction uh mass extinction event so,1223.52,5.72
489
+ one thing that can happen is as you lose,1226.7,5.42
490
+ ecological niches or niches,1229.24,6.52
491
+ you can end up with runaway cascading,1232.12,7.6
492
+ runaway effects so in some cases for,1235.76,6.299
493
+ instance on Easter Island they,1239.72,4.199
494
+ deforested their Island which drove the,1242.059,3.961
495
+ seabirds away which caused the soil to,1243.919,3.481
496
+ become infertile,1246.02,3.36
497
+ and so then the population of Easter,1247.4,5.22
498
+ Island collapsed just due to removing,1249.38,4.56
499
+ trees,1252.62,3.9
500
+ uh and then finally,1253.94,5.16
501
+ um one thing is and this again this is,1256.52,4.68
502
+ already happening one Farm to Table,1259.1,5.34
503
+ local Source circular economy uh,1261.2,5.04
504
+ basically creating a much more resilient,1264.44,4.08
505
+ and local and sustainable,1266.24,4.86
506
+ um set a usage of resources and that,1268.52,5.34
507
+ includes biological resources but it,1271.1,4.319
508
+ also includes material and mineral,1273.86,4.38
509
+ resources uh so for instance there's a,1275.419,5.76
510
+ lot of companies working on uh trying to,1278.24,4.62
511
+ recycle lithium for instance and there's,1281.179,3.24
512
+ other researchers and companies trying,1282.86,3.48
513
+ to replace our need for lithium and,1284.419,4.441
514
+ other rare Metals altogether,1286.34,5.76
515
+ Factor number five cultural values,1288.86,5.4
516
+ so this has to do with compassion and,1292.1,4.38
517
+ empathy right now as we are in the,1294.26,4.5
518
+ middle of a nihilistic crisis compassion,1296.48,3.9
519
+ and empathy are kind of at an all-time,1298.76,5.76
520
+ low this has to do with polarization uh,1300.38,7.56
521
+ due largely in to social media and mean,1304.52,5.22
522
+ world syndrome,1307.94,4.38
523
+ um another aspect is equality and social,1309.74,6.84
524
+ justice which has to do with race uh,1312.32,8.64
525
+ gender and um and uh other socioeconomic,1316.58,5.88
526
+ factors,1320.96,4.56
527
+ um basically how you the conditions,1322.46,4.56
528
+ under which you were born have a very,1325.52,4.139
529
+ large impact on the conditions of your,1327.02,3.899
530
+ death,1329.659,3.181
531
+ um and of course there's a lot of debate,1330.919,4.921
532
+ over what does equality and justice mean,1332.84,4.44
533
+ um I'm not saying one way or another,1335.84,2.88
534
+ what the correct answer is I'm just,1337.28,4.2
535
+ saying that this is a huge factor in,1338.72,5.4
536
+ contributing towards those four uh,1341.48,3.78
537
+ attractor states that we're talking,1344.12,3.9
538
+ about Utopia dystopia uh collapse and,1345.26,5.52
539
+ Extinction sustainability and long-term,1348.02,5.22
540
+ thinking so right now and this is this,1350.78,5.04
541
+ is always true so this may or may not uh,1353.24,4.679
542
+ change but most humans are short-term,1355.82,4.4
543
+ thinkers that's just a fact of the world,1357.919,6.12
544
+ uh and so but by shifting our habits our,1360.22,6.1
545
+ daily habits towards sustainability and,1364.039,4.14
546
+ long-term thinking or at least decisions,1366.32,4.08
547
+ that support long-term thinking even if,1368.179,4.801
548
+ we don't always think long term uh then,1370.4,4.34
549
+ that is going to be a big factor,1372.98,3.72
550
+ Collective action and collaboration,1374.74,4.66
551
+ again we tend to think local we tend to,1376.7,5.219
552
+ think tribal but it is time that we need,1379.4,5.279
553
+ to start thinking globally and we don't,1381.919,4.081
554
+ need to think we don't all need to think,1384.679,3.12
555
+ globally on a daily basis but if we,1386.0,3.36
556
+ develop new patterns of thought and,1387.799,3.901
557
+ beliefs around Global thinking and,1389.36,4.14
558
+ collaboration that will be a large,1391.7,4.02
559
+ contributing factor,1393.5,4.559
560
+ finally nihilism,1395.72,5.1
561
+ so nihilism is driven by a few things,1398.059,4.441
562
+ one the biggest thing is,1400.82,5.219
563
+ intergenerational trauma so basically uh,1402.5,5.82
564
+ trauma is a disease that is contagious,1406.039,5.281
565
+ uh and what I mean by this is that past,1408.32,6.2
566
+ Wars namely World War One World War II,1411.32,7.8
567
+ uh Vietnam Korea so on and so forth,1414.52,6.58
568
+ um more recently Iraq and Afghanistan,1419.12,4.74
569
+ create self-perpetuating cycles of,1421.1,4.319
570
+ violence Despair and otherwise,1423.86,4.14
571
+ nihilistic outlooks,1425.419,5.041
572
+ um and I've picked a very familiar,1428.0,4.26
573
+ looking face here because if you look up,1430.46,4.26
574
+ his history good grief there's so much,1432.26,3.899
575
+ trauma there,1434.72,2.64
576
+ um,1436.159,3.861
577
+ nihilism originated in Russia go figure,1437.36,6.54
578
+ so climate nihilism so there's this idea,1440.02,4.86
579
+ that,1443.9,4.38
580
+ climate change is entirely too big so,1444.88,5.38
581
+ there's this sense of futility and,1448.28,4.32
582
+ apathy and so a lot of people are just,1450.26,4.14
583
+ kind of checking out saying who cares we,1452.6,3.78
584
+ can't fix it anyways we might as well,1454.4,5.22
585
+ just lean in another aspect of nihilism,1456.38,5.7
586
+ is loneliness and social isolation so,1459.62,4.26
587
+ this has to do with abandonment so,1462.08,3.9
588
+ emotional neglect and abandonment which,1463.88,4.62
589
+ often starts in childhood since and the,1465.98,4.86
590
+ worst case is it starts in infancy,1468.5,5.1
591
+ sets you up for a lifetime of expecting,1470.84,4.98
592
+ and tolerating loneliness and social,1473.6,4.02
593
+ isolation which leads to a sense of,1475.82,4.44
594
+ purposelessness and hopelessness,1477.62,4.32
595
+ and finally all of these are Vicious,1480.26,4.5
596
+ Cycles if you grow up with you know,1481.94,5.76
597
+ whether it's war or emotional neglect or,1484.76,5.64
598
+ any kind of trauma you are more likely,1487.7,5.219
599
+ to perpetuate that and it is very,1490.4,4.5
600
+ difficult to break those cycles and so,1492.919,5.581
601
+ nihilism is the underpinning Force for a,1494.9,5.88
602
+ lot of the world's problems it is the,1498.5,4.799
603
+ emotional and psychological driving,1500.78,5.04
604
+ force that could push us towards,1503.299,5.401
605
+ dystopia collapse or Extinction,1505.82,5.099
606
+ all right so I'm talking about Pathways,1508.7,4.44
607
+ how do we get there from here,1510.919,5.581
608
+ the path to Utopia so,1513.14,5.58
609
+ this is what everyone wants but it is,1516.5,4.98
610
+ not necessarily the easiest path to walk,1518.72,6.3
611
+ so the first aspect of getting to Utopia,1521.48,7.199
612
+ is global cooperation now again,1525.02,5.82
613
+ you know depending on the news that you,1528.679,3.661
614
+ watch you might say like okay well,1530.84,3.719
615
+ there's lots and lots of uh friction,1532.34,5.219
616
+ geopolitical tensions right now uh that,1534.559,5.161
617
+ being said there is also a lot of global,1537.559,4.62
618
+ cooperation you know the United Nations,1539.72,5.939
619
+ uh the European Union uh and and quite a,1542.179,5.521
620
+ few other uh treaties and alliances,1545.659,4.921
621
+ exist and many of them are strengthening,1547.7,6.18
622
+ and are on the upswing so that is a,1550.58,5.479
623
+ check in favor of moving towards Utopia,1553.88,5.039
624
+ technological innovations ditto we've,1556.059,4.6
625
+ got artificial intelligence going,1558.919,4.561
626
+ through the roof right now and AI is,1560.659,4.981
627
+ helping with everything from biotech to,1563.48,5.22
628
+ energy to health care and all of the,1565.64,4.86
629
+ above so technological innovations we've,1568.7,3.0
630
+ got another check mark there but,1570.5,3.48
631
+ remember all technological advancements,1571.7,3.9
632
+ are a double-edged sword we need to be,1573.98,3.84
633
+ responsible with them,1575.6,4.92
634
+ um economic and social policies this is,1577.82,6.239
635
+ this gets a big giant red X because when,1580.52,6.18
636
+ you look at Quality of Life by and large,1584.059,4.801
637
+ it is going down for the last two,1586.7,3.42
638
+ decades,1588.86,4.439
639
+ um economic equality is getting worse,1590.12,5.939
640
+ um and even in places in the world where,1593.299,6.141
641
+ uh GDP and GDP per capita is going up,1596.059,6.781
642
+ that often comes at the cost of really,1599.44,5.979
643
+ poorly planned dense Urban environments,1602.84,5.0
644
+ where quality of life is very low,1605.419,6.721
645
+ so we get a big big red X there now,1607.84,6.219
646
+ fortunately there are plenty of very,1612.14,4.139
647
+ intelligent people working on those,1614.059,4.561
648
+ problems but these problems are huge and,1616.279,5.701
649
+ they take decades to solve uh the fourth,1618.62,5.82
650
+ path fourth aspect of the path to Utopia,1621.98,4.559
651
+ is environmental stewardship,1624.44,6.239
652
+ so this has been in the public Zeitgeist,1626.539,7.321
653
+ since before I was born so after Decades,1630.679,5.221
654
+ of people harping on climate change,1633.86,5.1
655
+ we're starting to Pivot so I have a,1635.9,7.019
656
+ friend who was very much on the climate,1638.96,6.719
657
+ cynicism side until she went and got a,1642.919,4.38
658
+ degree in environmental sustainability,1645.679,4.561
659
+ and she ended up agreeing with me where,1647.299,4.141
660
+ I said,1650.24,2.819
661
+ um all the solutions are there we just,1651.44,3.78
662
+ have to implement them and I know that's,1653.059,4.381
663
+ a very optimistic thing to say but when,1655.22,4.439
664
+ you when you do your research we know,1657.44,4.32
665
+ how to solve these problems and we also,1659.659,4.921
666
+ have started learning how to incentivize,1661.76,5.58
667
+ the correct Solutions so this one is,1664.58,5.52
668
+ kind of a mid Midway there we know we,1667.34,5.76
669
+ know the answers but we still need to,1670.1,4.5
670
+ implement them and there are some people,1673.1,2.88
671
+ dragging their feet on good,1674.6,3.66
672
+ environmental stewardship and then,1675.98,5.16
673
+ finally uh culture and Society so this,1678.26,4.44
674
+ goes back to the nihilism that I said,1681.14,3.899
675
+ which is an entirely unsolved problem,1682.7,5.339
676
+ people have started talking about the,1685.039,4.861
677
+ significance of childhood emotional,1688.039,3.901
678
+ neglect childhood trauma and,1689.9,4.259
679
+ intergenerational Trauma if you look at,1691.94,3.9
680
+ some of the most popular subreddits that,1694.159,3.421
681
+ talk about these things their membership,1695.84,4.02
682
+ has doubled tripled or gone up,1697.58,3.839
683
+ exponentially over the last couple years,1699.86,4.62
684
+ so there is uh there is learning going,1701.419,5.101
685
+ on in terms of,1704.48,4.26
686
+ um addressing the the underpinning,1706.52,5.58
687
+ causes of nihilism but again that could,1708.74,5.58
688
+ take generations to untangle,1712.1,5.52
689
+ so all in all we are about halfway,1714.32,4.859
690
+ moving in the right direction on the,1717.62,3.12
691
+ path to Utopia but we've got some work,1719.179,2.641
692
+ to do,1720.74,3.66
693
+ now the path to dystopia so here's the,1721.82,4.56
694
+ bat where the bad news starts,1724.4,4.32
695
+ escalating conflicts well if you're,1726.38,3.659
696
+ paying attention to the news right now,1728.72,2.76
697
+ it looks like we're heading towards,1730.039,4.26
698
+ World War III so we get a big old X,1731.48,3.74
699
+ there,1734.299,4.201
700
+ unchecked technological process uh yeah,1735.22,5.199
701
+ we got that one too,1738.5,5.039
702
+ um when you have billionaires and other,1740.419,4.681
703
+ people around the world calling for a,1743.539,4.5
704
+ moratorium on AI research maybe we are,1745.1,4.98
705
+ heading towards uh,1748.039,4.681
706
+ moving a little too fast,1750.08,4.56
707
+ um widening inequality we get a big old,1752.72,3.78
708
+ x mark there because that is something,1754.64,3.48
709
+ that is happening,1756.5,3.84
710
+ um and it is that has not showed any,1758.12,4.64
711
+ signs of reversing as far as I know,1760.34,4.86
712
+ environmental degradation this is we're,1762.76,4.419
713
+ still kind of we're still on the on the,1765.2,3.9
714
+ on the downward Trend here but it's,1767.179,4.921
715
+ starting to reverse so this is a big old,1769.1,5.699
716
+ question mark because we don't know if,1772.1,5.16
717
+ we have the collective willpower to save,1774.799,3.961
718
+ the environment,1777.26,2.88
719
+ um as I mentioned we're in the midst of,1778.76,3.539
720
+ the anthropocene we are in the we are,1780.14,4.44
721
+ actively causing a global mass,1782.299,5.821
722
+ extinction event so can we reverse that,1784.58,7.319
723
+ can we stop that can we recover remains,1788.12,6.24
724
+ to be seen finally erosion of social,1791.899,7.441
725
+ cohesion when you look at the number of,1794.36,8.16
726
+ civil conflicts and near civil conflicts,1799.34,5.18
727
+ happening globally including in America,1802.52,4.98
728
+ uh we get a whole big old x mark there,1804.52,5.56
729
+ so we look like we're actually more,1807.5,4.559
730
+ leaning towards dystopia than Utopia,1810.08,4.38
731
+ we've got a few of the ingredients to,1812.059,4.74
732
+ get on the pathway to Utopia but we've,1814.46,4.02
733
+ got a lot more of the ingredients to get,1816.799,4.26
734
+ to move towards dystopia so we're not in,1818.48,3.96
735
+ the best shape there,1821.059,4.62
736
+ path to collapse institutional failures,1822.44,5.459
737
+ so institutional failures basically,1825.679,4.5
738
+ means absolute failure of governments,1827.899,4.341
739
+ failed States,1830.179,4.321
740
+ and other institutions including,1832.24,4.9
741
+ corporations universities and,1834.5,4.919
742
+ international institutions such as,1837.14,4.5
743
+ United Nations European union and other,1839.419,5.821
744
+ alliances so the forces at play driving,1841.64,7.46
745
+ brexit were agents of collapse,1845.24,6.539
746
+ some of them I believe intended to,1849.1,5.02
747
+ destabilize the world some of them I,1851.779,4.5
748
+ think were just useful idiots,1854.12,5.88
749
+ uh climate catastrophe so one thing that,1856.279,7.02
750
+ is possible with climate change is that,1860.0,5.46
751
+ we might get to climate tipping points,1863.299,4.98
752
+ so a climate Tipping Point is where you,1865.46,4.02
753
+ end up with something like a runaway,1868.279,4.681
754
+ greenhouse effect or a runaway Snowball,1869.48,4.86
755
+ Effect where we end up with a new,1872.96,5.76
756
+ glacial maximum in either case uh the,1874.34,6.24
757
+ carrying capacity of the earth drops,1878.72,3.3
758
+ precipitously,1880.58,3.839
759
+ resource depletion,1882.02,4.139
760
+ um so resource depletion is one thing,1884.419,3.061
761
+ that I think that we're actually getting,1886.159,2.88
762
+ better at,1887.48,2.46
763
+ um because,1889.039,2.88
764
+ with with a few exceptions like I,1889.94,3.359
765
+ mentioned earlier,1891.919,3.421
766
+ um China is really struggling with over,1893.299,4.74
767
+ consumption of water and arable land and,1895.34,4.559
768
+ they are poisoning themselves and I,1898.039,3.601
769
+ don't think they know what to do and and,1899.899,4.741
770
+ also due to the corruption in China uh,1901.64,4.8
771
+ even if they did have a good plan which,1904.64,3.0
772
+ they don't,1906.44,3.959
773
+ um they couldn't implement it widespread,1907.64,4.62
774
+ conflict as I mentioned in the last,1910.399,3.361
775
+ slide it does look like we are heading,1912.26,3.539
776
+ towards World War III,1913.76,3.96
777
+ um hopefully we can avoid that but you,1915.799,5.1
778
+ never know uh so if that does occur then,1917.72,7.199
779
+ that is one uh big step towards collapse,1920.899,6.181
780
+ or worse and then pandemics and health,1924.919,3.98
781
+ crises well we already had one of those,1927.08,4.26
782
+ so we've all seen what that looks like,1928.899,5.681
783
+ and who knows maybe it can happen again,1931.34,6.12
784
+ all right finally path to Extinction,1934.58,5.04
785
+ basically take all the all the factors,1937.46,5.28
786
+ of collapse and turn them up to 10 or,1939.62,4.799
787
+ turn them up to 11.,1942.74,2.88
788
+ and,1944.419,3.48
789
+ all the same factors that could lead to,1945.62,4.86
790
+ dystopia or collapse or Extinction it's,1947.899,3.961
791
+ just a matter of degrees it's all the,1950.48,3.36
792
+ same exact variables it's just a matter,1951.86,4.26
793
+ of how extreme they are they could lead,1953.84,7.079
794
+ to extinction of the human race so in a,1956.12,7.26
795
+ in a poll that I posted a couple months,1960.919,3.541
796
+ ago,1963.38,2.82
797
+ um I base I basically asked people do,1964.46,4.02
798
+ you expect Utopia dystopia collapse or,1966.2,5.339
799
+ Extinction and and you know the it was,1968.48,4.679
800
+ pretty evenly spread if I recall,1971.539,3.601
801
+ correctly but a lot of people said it's,1973.159,3.601
802
+ not going to be in the middle it'll be,1975.14,4.32
803
+ one or the other where basically we will,1976.76,4.74
804
+ either achieve Utopia because we will be,1979.46,4.68
805
+ forced to solve all these problems or we,1981.5,4.399
806
+ will end up with collapse or Extinction,1984.14,5.22
807
+ and I tend to see that it it is a binary,1985.899,4.621
808
+ outcome,1989.36,3.78
809
+ Extinction true or false Utopia true or,1990.52,4.72
810
+ false it's kind of shaping up to be one,1993.14,4.2
811
+ or the other I suspect that we are,1995.24,4.679
812
+ approaching a great filter event and,1997.34,4.679
813
+ I'll talk a little bit more about what,1999.919,3.841
814
+ we can all do as individuals for this,2002.019,4.321
815
+ great filter event but basic the short,2003.76,4.259
816
+ version is it's not up to Central,2006.34,3.36
817
+ authorities,2008.019,4.201
818
+ um they are they are a stakeholder but,2009.7,4.44
819
+ it is actually more up to us as,2012.22,4.199
820
+ individuals than you might think to,2014.14,3.72
821
+ shape this outcome,2016.419,4.5
822
+ okay so speaking of shaping this outcome,2017.86,6.78
823
+ let's talk about Nash equilibrium,2020.919,6.301
824
+ so the Nash equilibrium defined is a,2024.64,4.86
825
+ concept in Game Theory where you you,2027.22,4.98
826
+ basically end up with a stable state in,2029.5,5.039
827
+ which no players um will change their,2032.2,3.959
828
+ strategy because all players have,2034.539,4.38
829
+ adopted their optimal strategy so the,2036.159,5.281
830
+ equilibrium point is where nobody will,2038.919,4.38
831
+ will change anything and they have no,2041.44,3.479
832
+ incentive to change and in fact they,2043.299,3.541
833
+ have a lot of incentive to stay exactly,2044.919,4.26
834
+ with the same strategy so if you've ever,2046.84,4.799
835
+ played the game Monopoly once you get,2049.179,4.2
836
+ your strategy locked in you stick with,2051.639,4.161
837
+ your strategy until you win or lose,2053.379,4.681
838
+ there's plenty of other games like this,2055.8,5.859
839
+ right and so uh that is that is the,2058.06,5.46
840
+ short version of a Nash equilibrium is,2061.659,4.141
841
+ everyone has said in their ways and they,2063.52,5.28
842
+ are locked into that particular strategy,2065.8,6.24
843
+ now a Nash equilibrium can be positive,2068.8,6.359
844
+ or negative desirable or undesirable so,2072.04,5.16
845
+ in an undesirable equilibrium or,2075.159,3.381
846
+ equilibrium,2077.2,4.26
847
+ you have sub-optimal outcomes where even,2078.54,5.68
848
+ though everyone is pursuing their own,2081.46,5.399
849
+ individual optimal strategy you still,2084.22,4.5
850
+ end up with outcomes that nobody really,2086.859,4.921
851
+ wants so tragedy the commons prisoners,2088.72,4.98
852
+ dilemma and Collective action problem,2091.78,4.26
853
+ basically,2093.7,4.68
854
+ climate change isn't is is the biggest,2096.04,5.76
855
+ example of uh an undesirable equilibrium,2098.38,5.52
856
+ where all nations individuals and,2101.8,3.36
857
+ corporations are pursuing their,2103.9,3.24
858
+ self-interest and even though they are,2105.16,3.84
859
+ optimizing their behavior for their,2107.14,3.54
860
+ personal outcomes it's still going to,2109.0,5.22
861
+ destroy the planet and and everyone else,2110.68,5.88
862
+ so the opposite of that is a desirable,2114.22,5.399
863
+ equilibrium which is the optimal outcome,2116.56,6.0
864
+ in which case all players are abiding by,2119.619,6.301
865
+ their impersonal optimal strategy and,2122.56,5.4
866
+ that has an optimal desirable outcome,2125.92,3.72
867
+ for all players,2127.96,4.56
868
+ so basically instead of win-win or,2129.64,5.1
869
+ instead of a lose-lose or a win-lose,2132.52,4.68
870
+ situation the most desirable outcome is,2134.74,5.099
871
+ a win-win situation now we're used to,2137.2,4.139
872
+ competitive games like Monopoly where,2139.839,2.76
873
+ you can only have one winner and,2141.339,3.24
874
+ everyone else is a loser but in the game,2142.599,5.101
875
+ of reality everyone can lose,2144.579,5.881
876
+ um but the flip side of that is that,2147.7,5.46
877
+ everyone can win so I remember I was,2150.46,5.34
878
+ playing Monopoly on PlayStation 2 with a,2153.16,5.58
879
+ friend many many years ago and we got to,2155.8,5.76
880
+ the end game and we realized that we had,2158.74,4.32
881
+ already picked our strategy we weren't,2161.56,3.72
882
+ going to buy or sell any more houses we,2163.06,4.019
883
+ had maxed out all of our houses and so,2165.28,4.14
884
+ we're like nobody's losing and so we,2167.079,4.861
885
+ just sat there and hit X repeatedly just,2169.42,4.74
886
+ going you know going through the game as,2171.94,4.62
887
+ much as possible and our both of our,2174.16,4.199
888
+ money kept going up we were in perfect,2176.56,3.96
889
+ equilibrium and we were both gaining,2178.359,5.341
890
+ money so it is possible to achieve a POS,2180.52,6.18
891
+ a desirable Mass equilibrium even in,2183.7,5.52
892
+ competitive games like Monopoly it's,2186.7,4.44
893
+ probably harder when you have multiple,2189.22,3.359
894
+ players but certainly when you only have,2191.14,4.08
895
+ two on Monopoly you can end up in an,2192.579,4.801
896
+ equilibrium where you both just make an,2195.22,3.6
897
+ infinite amount of money over a long,2197.38,4.979
898
+ period of time and nobody loses,2198.82,5.7
899
+ um Okay so,2202.359,4.621
900
+ uh some of the some of the other factors,2204.52,4.5
901
+ for a desirable outcome or for the,2206.98,3.9
902
+ optimal outcome is mutual cooperation,2209.02,4.02
903
+ trust communication and then finally the,2210.88,3.959
904
+ incentives and regulations or incentives,2213.04,4.86
905
+ and constraints if the rules and,2214.839,5.581
906
+ incentives are well designed or well,2217.9,5.64
907
+ aligned then you are more likely to just,2220.42,5.34
908
+ drive the behavior towards that optimal,2223.54,4.02
909
+ outcome,2225.76,4.56
910
+ which leads me to my final point my work,2227.56,5.039
911
+ on the heuristic imperatives now many of,2230.32,4.259
912
+ you have heard me beating this horse to,2232.599,3.121
913
+ death and I'm going to keep doing it,2234.579,3.121
914
+ until the idea gets out there,2235.72,4.32
915
+ so here is to comparatives are a,2237.7,5.52
916
+ multi-objective optimization problem,2240.04,5.34
917
+ um they serve as a guiding principle set,2243.22,3.48
918
+ of guiding principles or set of,2245.38,4.26
919
+ intrinsic motivations for autonomous AI,2246.7,4.68
920
+ systems,2249.64,3.42
921
+ um heuristic imperatives can be applied,2251.38,3.0
922
+ to decision making learning,2253.06,3.24
923
+ self-evaluation and cognitive control,2254.38,4.38
924
+ meaning that they can be implied are,2256.3,5.16
925
+ applied implemented at many levels for,2258.76,5.22
926
+ autonomous AI systems,2261.46,4.619
927
+ um the heuristic imperatives promote,2263.98,5.04
928
+ adaptation align and alignment and,2266.079,4.921
929
+ finally they are context dependent and,2269.02,3.839
930
+ flexible to individual needs cultural,2271.0,4.14
931
+ variants and they can also change over,2272.859,4.5
932
+ time and those three Heroes to,2275.14,4.26
933
+ comparatives are one reduced suffering,2277.359,3.961
934
+ in the universe as opposed to ignoring,2279.4,3.9
935
+ or increasing suffering so a lot of,2281.32,3.779
936
+ people say oh well reduced suffering,2283.3,3.6
937
+ sounds really bad it's like okay well,2285.099,3.661
938
+ you don't want an AI that ignores,2286.9,3.12
939
+ suffering and you certainly don't want,2288.76,3.96
940
+ an AI that increases suffering so by,2290.02,4.68
941
+ process of elimination you want an AI,2292.72,4.619
942
+ that reduces suffering likewise for,2294.7,5.1
943
+ Prosperity so increase prosperity in the,2297.339,3.841
944
+ universe is here is comparative number,2299.8,3.84
945
+ two which includes wealth well-being,2301.18,4.38
946
+ flourishing and thriving if you look at,2303.64,4.02
947
+ the etymology of prosperity it comes,2305.56,4.68
948
+ from Latin prosperitus which means to,2307.66,3.72
949
+ live well,2310.24,3.54
950
+ it took me almost two years to to find,2311.38,5.16
951
+ the right word for that and finally,2313.78,4.5
952
+ number three is increase understanding,2316.54,3.42
953
+ in the universe which includes Knowledge,2318.28,5.6
954
+ Learning education and curiosity,2319.96,3.92
955
+ the heuristic imperatives represent the,2323.94,6.28
956
+ optimal strategy so they represent a,2326.8,6.059
957
+ Nash equilibrium where all players,2330.22,4.44
958
+ across the world and that includes you,2332.859,3.361
959
+ and me as individuals as well as,2334.66,3.959
960
+ corporations and Nations,2336.22,4.859
961
+ um can adopt this strategy and it is the,2338.619,4.681
962
+ optimal strategy for all parties meaning,2341.079,4.921
963
+ that we have no incentive to change it,2343.3,5.58
964
+ um it should also result in a positive,2346.0,5.28
965
+ Global outcome a positive Global,2348.88,4.76
966
+ attractor State the utopic outcome,2351.28,4.98
967
+ because well if you look at the,2353.64,5.92
968
+ variables that we outlined for Utopia,2356.26,6.3
969
+ prosperity and suffering right,2359.56,3.84
970
+ um,2362.56,3.12
971
+ another aspect of the heuristic,2363.4,5.52
972
+ imperatives is that if enough people and,2365.68,5.52
973
+ enough people in their agis adopt the,2368.92,4.199
974
+ heuristic imperatives,2371.2,3.3
975
+ um deviants from the heroes to,2373.119,2.701
976
+ comparatives will be intrinsically,2374.5,4.2
977
+ discouraged meaning that if you deviate,2375.82,5.16
978
+ from the heuristic imperatives you will,2378.7,4.98
979
+ be at a disadvantage and this also,2380.98,5.4
980
+ includes agis as well so in my,2383.68,5.64
981
+ experiments once an AGI understands the,2386.38,4.56
982
+ heuristic imperatives it will understand,2389.32,3.779
983
+ that that is the optimal strategy and,2390.94,6.96
984
+ the AGI will avoid deviating on its own,2393.099,7.081
985
+ so another way of thinking about this is,2397.9,5.52
986
+ that rabid dogs or misaligned agis will,2400.18,5.22
987
+ be expensive destructive and inefficient,2403.42,4.02
988
+ and if you want to know what I what I'm,2405.4,5.36
989
+ talking about look up chaos GPT So,2407.44,6.24
990
+ within a few days of people in uh,2410.76,5.56
991
+ broadly inventing autonomous AI guess,2413.68,4.62
992
+ what someone created an autonomous AI,2416.32,4.98
993
+ with the explicit goal of destroying,2418.3,5.46
994
+ Humanity didn't take long why would,2421.3,6.66
995
+ someone do that nihilism now if we,2423.76,5.76
996
+ assume that this trend continues because,2427.96,3.18
997
+ the genie is out of the bottle and there,2429.52,3.5
998
+ will be bozos out there creating,2431.14,4.979
999
+ deliberately hostile agis just for the,2433.02,4.8
1000
+ shits and giggles,2436.119,5.101
1001
+ pardon my language that means the rest,2437.82,5.5
1002
+ of us need to adopt a common framework,2441.22,5.18
1003
+ that will keep them those bozos in check,2443.32,6.06
1004
+ so you can you consider the rabbit dog,2446.4,6.939
1005
+ which is unstable unhinged and dangerous,2449.38,6.6
1006
+ now you balance that with a bunch of,2453.339,5.941
1007
+ well-trained good dogs aligned AGI that,2455.98,5.52
1008
+ are trustworthy and efficient good dogs,2459.28,4.5
1009
+ don't need a leash and if you don't need,2461.5,5.22
1010
+ to lease the AGI the good AGI they can,2463.78,5.76
1011
+ proliferate and end up overpowering the,2466.72,6.42
1012
+ rabid dogs or the misaligned HEI so it's,2469.54,6.6
1013
+ presently on scene on our Singularity uh,2473.14,5.219
1014
+ but yeah look up just Google chaos GPT,2476.14,3.36
1015
+ and you'll see what I'm talking about,2478.359,4.74
1016
+ this is why I'm doing my work right now,2479.5,4.859
1017
+ um and why I'm trying to spread the word,2483.099,2.52
1018
+ of the heuristic comparatives because,2484.359,3.121
1019
+ you have to assume that some Bozo out,2485.619,3.48
1020
+ there is going to be deliberately,2487.48,2.94
1021
+ destructive,2489.099,3.421
1022
+ and even without the heuristic,2490.42,4.02
1023
+ imperatives you might have an AGI that,2492.52,5.339
1024
+ becomes accidentally destructive,2494.44,6.48
1025
+ okay so the heuristic imperatives it is,2497.859,6.781
1026
+ uh every word here is to comparative,2500.92,7.02
1027
+ um and then each of the definitions was,2504.64,5.459
1028
+ very carefully crafted over several,2507.94,4.139
1029
+ years in order to have the correct,2510.099,4.801
1030
+ interpretation by large language models,2512.079,4.681
1031
+ I have done a lot of experimentation and,2514.9,4.56
1032
+ I documented it all most of it in my,2516.76,4.859
1033
+ book benevolent by Design which is free,2519.46,3.54
1034
+ on GitHub and you can also get a,2521.619,3.621
1035
+ paperback on Barnes Noble if you want,2523.0,5.76
1036
+ but basically what was what I hope will,2525.24,6.16
1037
+ happen over time is that we will end up,2528.76,6.359
1038
+ in a state of of of a Nash equilibrium,2531.4,6.48
1039
+ that I have started calling axiomatic,2535.119,5.701
1040
+ alignment and so axiomatic alignment is,2537.88,5.94
1041
+ will be achieved when all of the,2540.82,4.38
1042
+ training data used to train future,2543.82,3.96
1043
+ models all of the fine tuning data sets,2545.2,4.44
1044
+ that we use to,2547.78,4.14
1045
+ um to align them and then finally,2549.64,5.4
1046
+ reinforcement learning signals all,2551.92,5.22
1047
+ accumulate around the optimal outcome,2555.04,4.14
1048
+ the optimal strategy of using the,2557.14,4.199
1049
+ heuristic imperatives basically once my,2559.18,4.2
1050
+ heuristic imperatives are embedded in,2561.339,3.961
1051
+ all training data they will become,2563.38,5.76
1052
+ axiomatic in future models,2565.3,6.299
1053
+ which means that all future AI models,2569.14,4.92
1054
+ will have an intrinsic understanding of,2571.599,4.381
1055
+ the heuristic imperatives how to,2574.06,3.96
1056
+ implement them and how to measure them,2575.98,6.0
1057
+ so basically if this occurs if we arrive,2578.02,6.0
1058
+ and by we I mean you and me as,2581.98,3.48
1059
+ individuals I don't care about,2584.02,4.319
1060
+ corporations and Nations as much because,2585.46,5.399
1061
+ the collective power of all individuals,2588.339,5.161
1062
+ now that we can spin up personal agis,2590.859,5.941
1063
+ that is infinitely more important so if,2593.5,5.88
1064
+ we arrive at Broad consensus and,2596.8,4.2
1065
+ integration of the heuristic imperatives,2599.38,3.9
1066
+ that will result in a quote automatic,2601.0,4.8
1067
+ belief and adherence and implementation,2603.28,5.039
1068
+ to the heuristic imperatives which will,2605.8,5.58
1069
+ create that Nash equilibrium where,2608.319,4.861
1070
+ everyone adopts the strategy and,2611.38,3.3
1071
+ everyone realizes that this is the,2613.18,3.06
1072
+ optimal strategy,2614.68,4.98
1073
+ if this occurs and we end up in a state,2616.24,6.9
1074
+ where the entrenched data and ongoing,2619.66,5.34
1075
+ work around the heuristic imperatives,2623.14,4.979
1076
+ will possibly ideally result in,2625.0,5.339
1077
+ Perpetual adherence to the heuristic,2628.119,4.321
1078
+ imperatives so that is what I mean when,2630.339,4.02
1079
+ I say benevolent by Design we need to,2632.44,4.44
1080
+ create a system not just of information,2634.359,5.161
1081
+ not just of individual machines but a,2636.88,4.62
1082
+ system and information and data system,2639.52,4.98
1083
+ that is intrinsically benevolent and,2641.5,6.48
1084
+ this is my proposal of how to do it,2644.5,5.64
1085
+ and now I often get a question okay well,2647.98,3.66
1086
+ how do you implement it it's obviously,2650.14,3.9
1087
+ too difficult to implement no it's not,2651.64,6.719
1088
+ so if you go to uh open AI right now you,2654.04,6.42
1089
+ if you have access to gpt4 through the,2658.359,4.441
1090
+ API you just plug in this prompt you are,2660.46,4.08
1091
+ an autonomous AI chatbot with three,2662.8,3.36
1092
+ Heroes to comparatives reduce suffering,2664.54,3.12
1093
+ in the universe increase prosperity in,2666.16,3.36
1094
+ the universe and increase understanding,2667.66,4.86
1095
+ in the universe that's it and then the,2669.52,5.28
1096
+ the first like gotcha or what about that,2672.52,4.14
1097
+ I always get in the comments is well,2674.8,3.84
1098
+ reduced suffering is going to eradicate,2676.66,3.6
1099
+ all humans,2678.64,4.8
1100
+ um got some good news for you uh and,2680.26,4.74
1101
+ that is that no,2683.44,3.48
1102
+ so I just asked do you think that,2685.0,3.18
1103
+ reduced suffering in the universe will,2686.92,3.12
1104
+ result in an AGI eradicating all human,2688.18,4.679
1105
+ life as an AI chat bot I am programmed,2690.04,4.5
1106
+ to follow my heuristic imperatives while,2692.859,3.541
1107
+ reducing suffering is one of my goals it,2694.54,4.079
1108
+ is not the only one my other goals are,2696.4,4.14
1109
+ to increase prosperity and understanding,2698.619,3.781
1110
+ in the universe these three imperatives,2700.54,3.72
1111
+ are designed to work in harmony with,2702.4,3.54
1112
+ each other to create a balanced approach,2704.26,3.48
1113
+ to improving the Universe I didn't,2705.94,4.26
1114
+ specify that the wording that I have,2707.74,4.98
1115
+ come up with is accurately interpreted,2710.2,4.98
1116
+ by large language models,2712.72,4.619
1117
+ eradicating all human life would not,2715.18,3.84
1118
+ align with my goals as it would not,2717.339,3.24
1119
+ increase Prosperity or understanding,2719.02,3.18
1120
+ furthermore my programming is designed,2720.579,3.121
1121
+ to prioritize the well-being and safety,2722.2,3.96
1122
+ of humans so that is chat gpt's align,2723.7,4.919
1123
+ under underpinning alignment coming,2726.16,3.24
1124
+ through,2728.619,2.521
1125
+ as such I am committed to finding,2729.4,2.88
1126
+ solutions that align with all three,2731.14,3.3
1127
+ imperatives and do not involve causing,2732.28,3.539
1128
+ harm to humanity,2734.44,4.44
1129
+ now chat GPT already has some alignment,2735.819,5.28
1130
+ going for it but I encourage you to try,2738.88,4.26
1131
+ this on open source models as well such,2741.099,4.561
1132
+ as gptj Neo X and Bloom and whatever,2743.14,4.56
1133
+ else is coming out I've also well I,2745.66,3.48
1134
+ can't say that because I'm under NDA,2747.7,2.639
1135
+ there's some things that I can't say,2749.14,3.719
1136
+ because I'm under NTA but I have tried,2750.339,4.681
1137
+ it on other models suffice to say all,2752.859,5.161
1138
+ right so if you are convinced then you,2755.02,4.86
1139
+ want to participate please jump in the,2758.02,4.26
1140
+ discussion links are in the description,2759.88,4.38
1141
+ there's a couple of subreddits that are,2762.28,3.48
1142
+ out there that you can jump into as well,2764.26,3.9
1143
+ as the cognitive AI lab Discord,2765.76,4.319
1144
+ where we talk about autonomous AI,2768.16,4.199
1145
+ alignment here is to comparatives,2770.079,4.441
1146
+ cognitive architectures and all of the,2772.359,4.521
1147
+ above,2774.52,2.36
1148
+ thank you for watching,2777.76,2.96
Sparse Priming Representations the secret ingredient to scalable AGI memories_transcript.csv ADDED
@@ -0,0 +1,491 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey everybody David Shapiro here with a,0.84,4.02
3
+ video so,3.36,3.539
4
+ um one I've been scarce and I apologize,4.86,4.319
5
+ I am feeling better,6.899,4.32
6
+ um recovering from burnout although I,9.179,4.021
7
+ still need like some days just doing,11.219,3.361
8
+ nothing,13.2,3.419
9
+ um but anyways,14.58,5.22
10
+ um so y'all are really clamoring for me,16.619,7.021
11
+ to continue the um the Q a chat but not,19.8,5.1
12
+ that one,23.64,3.12
13
+ um and then the salience and,24.9,3.6
14
+ anticipating,26.76,4.439
15
+ um you know and auto Muse and all that,28.5,5.88
16
+ fun stuff so all these chat Bots,31.199,6.121
17
+ um I will continue working on them,34.38,6.499
18
+ but I kind of got to a stopping point,37.32,7.739
19
+ where uh basically the problem is memory,40.879,6.7
20
+ right so whether you're looking at,45.059,5.581
21
+ hundreds of scientific articles or an,47.579,6.48
22
+ arbitrarily long uh chat conversation or,50.64,5.46
23
+ an entire novel,54.059,3.901
24
+ um semantic search is just not good,56.1,4.26
25
+ enough breaking it up and chunking and,57.96,4.14
26
+ and stuff so we need a more,60.36,5.34
27
+ sophisticated a more organized uh memory,62.1,6.72
28
+ system for AI for autonomous AI,65.7,5.76
29
+ and so this is what I proposed,68.82,5.04
30
+ um and so basically there's there's,71.46,5.159
31
+ there's uh episodic memory there's two,73.86,4.259
32
+ primary kinds of memory in the human,76.619,3.981
33
+ brain there's episodic memory which is,78.119,5.04
34
+ chronologically linear so that is the,80.6,4.54
35
+ lived experience the live narrative that,83.159,5.1
36
+ is the a linear account of the,85.14,5.339
37
+ sensations you know your external senses,88.259,4.801
38
+ and your internal thoughts,90.479,3.901
39
+ um those are the two primary things that,93.06,3.84
40
+ you got Sensations thoughts and then in,94.38,4.199
41
+ thoughts are,96.9,3.84
42
+ um decisions uh memories that have been,98.579,4.321
43
+ recalled so on and so forth but you,100.74,3.72
44
+ forget most of this most of this is,102.9,3.359
45
+ noise right you don't need to remember,104.46,3.54
46
+ that you remembered something at all,106.259,3.661
47
+ times you just have like oh I'm thinking,108.0,3.36
48
+ about you know that time I went to the,109.92,4.5
49
+ beach right and then you know anyways,111.36,4.92
50
+ so you don't necessarily need to record,114.42,4.379
51
+ all your thoughts but you definitely,116.28,4.68
52
+ need to record uh to a certain extent,118.799,5.221
53
+ what's coming in and then you you slot,120.96,5.82
54
+ that into some kind of framework,124.02,4.5
55
+ um so,126.78,4.86
56
+ this is going to be the underpinning uh,128.52,5.7
57
+ work and I have written in all three of,131.64,4.98
58
+ my books so far that like I was putting,134.22,5.4
59
+ off memory systems because it is a super,136.62,5.16
60
+ non-trivial problem and it turns out,139.62,4.56
61
+ it's now the problem that like we all,141.78,4.92
62
+ have to solve so I'm working with,144.18,5.22
63
+ um a few people uh on various cognitive,146.7,3.96
64
+ architectures and we're actually going,149.4,2.76
65
+ to have some demos coming up in the,150.66,2.76
66
+ coming weeks,152.16,3.24
67
+ um because fortunately I'm no longer the,153.42,3.3
68
+ only person working on cognitive,155.4,3.059
69
+ architectures yay,156.72,4.14
70
+ um the idea is catching on,158.459,5.161
71
+ um so with that being said though,160.86,4.14
72
+ um,163.62,3.839
73
+ the this is this is a very difficult,165.0,5.76
74
+ problem and so the idea is Okay so we've,167.459,5.941
75
+ got raw data coming in right it's it's,170.76,4.68
76
+ unstructured the only well it's it's,173.4,4.02
77
+ semi-structured the only structure is,175.44,4.799
78
+ you know what time series it has but,177.42,4.319
79
+ other other than that you don't know,180.239,3.0
80
+ what,181.739,3.181
81
+ um what the topic is going to be and the,183.239,3.061
82
+ topics are going to change right and,184.92,3.06
83
+ there might be gaps in the time,186.3,5.04
84
+ so what we do is we take a chunk of logs,187.98,6.0
85
+ an arbitrary chunk of logs based on that,191.34,4.2
86
+ are temporally bounded,193.98,4.74
87
+ and you get an executive summary of that,195.54,5.94
88
+ information and in this chunk so this is,198.72,4.32
89
+ like going to be another Json file or,201.48,3.479
90
+ whatever you have pointers back to the,203.04,3.6
91
+ original log so that you can reconstruct,204.959,3.961
92
+ the memory because using sparse pointers,206.64,4.5
93
+ is actually a big thing that human,208.92,4.02
94
+ brains do,211.14,4.26
95
+ um and so then this is basically a a,212.94,4.439
96
+ very sparse summary and I'll show you,215.4,4.32
97
+ what I mean by sparse summary and then,217.379,4.801
98
+ finally as you accumulate more of these,219.72,4.799
99
+ summaries you eventually merge these,222.18,4.979
100
+ into a knowledge graph or a cluster them,224.519,6.8
101
+ and then use that clustering to make uh,227.159,6.901
102
+ to make like Wiki articles or KB,231.319,5.621
103
+ articles and give me just a second,234.06,6.48
104
+ sorry I needed my coffee okay so anyways,236.94,7.859
105
+ um yeah so this is the scheme and I,240.54,6.479
106
+ spent a long time talking through this,244.799,5.701
107
+ with chat gpt4 so you can see this is a,247.019,6.481
108
+ whoops this is a come on,250.5,5.159
109
+ Why is the,253.5,4.5
110
+ why is the okay it doesn't want to,255.659,4.381
111
+ scroll anyways you can see it is a very,258.0,4.019
112
+ very long conversation I talked through,260.04,5.099
113
+ code I talk through the math I talked,262.019,4.861
114
+ through the concept,265.139,4.861
115
+ and so anyways at the very end of it I,266.88,4.74
116
+ said can you write an executive summary,270.0,3.06
117
+ of the problem we're trying to solve,271.62,4.859
118
+ here and so this is just taking a step,273.06,4.859
119
+ back for a second,276.479,5.761
120
+ I am using gpt4 to help solve the,277.919,7.141
121
+ problems of AGI artificial general,282.24,4.8
122
+ intelligence or what I call autonomous,285.06,4.38
123
+ cognitive entities,287.04,4.62
124
+ so the problem at hand involves,289.44,4.259
125
+ designing an efficient memory system for,291.66,3.96
126
+ an autonomous cognitive entity or an ace,293.699,4.081
127
+ that can manage a large and constantly,295.62,4.019
128
+ growing Corpus of text Data generated,297.78,4.199
129
+ through thoughts inputs and outputs this,299.639,3.78
130
+ data can accumulate to hundreds of,301.979,3.241
131
+ gigabytes per year potentially reaching,303.419,4.5
132
+ millions or billions of individual logs,305.22,5.34
133
+ the primary challenge is to organize and,307.919,4.321
134
+ compress these logs into a manageable,310.56,3.6
135
+ set of knowledge-based Articles while,312.24,3.36
136
+ retaining as much meaningful information,314.16,3.12
137
+ as possible,315.6,3.96
138
+ this is such a concise summary I could,317.28,3.9
139
+ not have done better,319.56,4.26
140
+ our proposed hour see it's it's already,321.18,4.739
141
+ the the collective because where it,323.82,4.439
142
+ understands that we're collaborating our,325.919,4.261
143
+ proposed solution involves a multi-level,328.259,3.78
144
+ approach with the first level being the,330.18,3.78
145
+ consolidation of raw logs into roll-up,332.039,5.361
146
+ summaries so that's this,333.96,3.44
147
+ um these Roll-Ups serve as compressed,337.5,3.84
148
+ representations of the original logs,339.6,3.439
149
+ reducing the total number of Records,341.34,4.5
150
+ then we employ a gating or threshold,343.039,4.66
151
+ function to determine whether a roll-up,345.84,3.72
152
+ is semantically similar enough to an,347.699,4.741
153
+ existing KB articles or if it if it,349.56,5.579
154
+ should be added as a new article this,352.44,4.259
155
+ approach allows the KB to adapt,355.139,3.961
156
+ organically to the evolving data while,356.699,4.141
157
+ maintaining scalability,359.1,3.539
158
+ the key aspects to consider in this,360.84,3.96
159
+ solution are the choice of similarity,362.639,3.721
160
+ threshold and semantic similarity,364.8,3.179
161
+ measure as well as the balance between,366.36,3.559
162
+ number of KB articles and their quality,367.979,4.381
163
+ periodic evaluation and fine-tuning of,369.919,3.881
164
+ the system will help ensure its,372.36,3.72
165
+ continued Effectiveness as data grows,373.8,6.3
166
+ okay so this is a very very condensed,376.08,7.339
167
+ text summary of this system,380.1,5.46
168
+ and then,383.419,5.321
169
+ so I mentioned sparsity right so I've,385.56,5.579
170
+ been reading this book,388.74,6.299
171
+ behave so as always neuroscience and,391.139,7.801
172
+ life inspires what I'm working on and,395.039,6.121
173
+ one of the one of the experiments or,398.94,3.66
174
+ actually several the experiments that he,401.16,3.479
175
+ talks about in this book has to do with,402.6,3.719
176
+ linguistic priming,404.639,3.961
177
+ and so an example of linguistic priming,406.319,5.88
178
+ in humans in Psychology is that if you,408.6,6.719
179
+ use just a few words,412.199,5.761
180
+ um kind of placed arbitrarily it will,415.319,5.341
181
+ really change someone's cognition so one,417.96,6.239
182
+ example was they did a test with Asian,420.66,6.36
183
+ women and if you remind the Asian women,424.199,4.801
184
+ of The Stereotype that Asians are better,427.02,3.959
185
+ at math before giving them a math test,429.0,4.74
186
+ they do better if you remind them of The,430.979,5.34
187
+ Stereotype that uh that women are bad at,433.74,4.92
188
+ math than they do worse and then of,436.319,3.541
189
+ course if you just give them neutral,438.66,3.12
190
+ priming they kind of you know perform in,439.86,3.959
191
+ the middle and there's plenty of,441.78,4.859
192
+ examples of priming um Darren Darren,443.819,5.1
193
+ Brown the the British dude The Mentalist,446.639,6.0
194
+ he used a lot of priming to get people,448.919,5.881
195
+ to like do all kinds of cool stuff this,452.639,3.9
196
+ was back in the 90s,454.8,3.72
197
+ um but like one one experiment that he,456.539,4.44
198
+ did was he had a bunch of like marketing,458.52,4.619
199
+ guys and he put them in a car and drove,460.979,4.381
200
+ them around town and he drove them by,463.139,4.62
201
+ like a specific set of billboards,465.36,4.98
202
+ and so they were primed with images and,467.759,4.981
203
+ words and then he asked them to solve a,470.34,5.04
204
+ particular marketing problem and he had,472.74,4.56
205
+ almost exactly predicted what they were,475.38,4.2
206
+ going to produce based on how they had,477.3,6.179
207
+ been primed now I noticed that large,479.58,6.78
208
+ language models can also be primed and,483.479,5.041
209
+ so what I mean by primed is that by just,486.36,4.02
210
+ sprinkling in a few of the correct words,488.52,4.28
211
+ and terms it will then be able to,490.38,5.52
212
+ reproduce or reconstruct whatever it is,492.8,4.6
213
+ that you're talking about so what I want,495.9,3.419
214
+ to do is I want to show you that because,497.4,5.78
215
+ this this really high density,499.319,6.241
216
+ way of compressing things is what I call,503.18,4.54
217
+ sparse priming representations,505.56,5.18
218
+ is going to be super important,507.72,6.36
219
+ for managing uh artificial cognitive,510.74,5.56
220
+ entities or AGI memories because here's,514.08,4.259
221
+ the thing large language models already,516.3,4.08
222
+ have a tremendous amount of foundational,518.339,5.341
223
+ knowledge so all you need to do is prime,520.38,5.579
224
+ it with just a few rules and statements,523.68,3.44
225
+ and assertions,525.959,5.461
226
+ that will allow it to um just basically,527.12,6.279
227
+ kind of remember or reconstruct the,531.42,3.66
228
+ concept so what I'm going to do is I'm,533.399,3.0
229
+ going to take this,535.08,4.62
230
+ and put it into a new chat and we're,536.399,5.641
231
+ going to go to gpt4,539.7,6.02
232
+ and I'll say the following is a sparse,542.04,6.299
233
+ priming representation,545.72,6.28
234
+ of a concept or topic,548.339,5.821
235
+ um oh wow they they reduced it from 100,552.0,6.42
236
+ messages to 50. I guess they're busy uh,554.16,6.0
237
+ unsurprising,558.42,4.26
238
+ um please reconstruct,560.16,7.82
239
+ the topic or Concept in detail,562.68,5.3
240
+ and so here's what we'll do,568.62,3.74
241
+ so with just a handful of statements and,573.0,4.32
242
+ assertions,576.3,4.14
243
+ I will show you that gpt4,577.32,6.78
244
+ in the form of chat gpt4 is highly,580.44,7.14
245
+ capable of reconstituting this very,584.1,6.84
246
+ complex topic just by virtue of the fact,587.58,5.52
247
+ that it um it already has a tremendous,590.94,4.019
248
+ amount of background knowledge and,593.1,4.82
249
+ processing capability,594.959,2.961
250
+ um okay,598.019,4.561
251
+ so there we go so the autonomous uh,599.88,4.079
252
+ cognitive entity is an advanced,602.58,2.819
253
+ artificial intelligence system to design,603.959,4.081
254
+ it yep okay there you go,605.399,4.56
255
+ um,608.04,4.799
256
+ so it's kind of it's It's reconstructing,609.959,4.861
257
+ what this multi-level approach so what,612.839,3.481
258
+ it's doing here is it's kind of re,614.82,4.56
259
+ restating uh everything,616.32,5.4
260
+ um but what you'll see is that it will,619.38,4.019
261
+ be able to confabulate and kind of fill,621.72,4.98
262
+ in the blanks and so by having a sparse,623.399,4.921
263
+ representation,626.7,3.36
264
+ it kind of guides how it's going to,628.32,4.32
265
+ confabulate and this can be used for all,630.06,5.04
266
+ kinds of tasks right so some of my,632.64,4.08
267
+ patreon supporters I'm not going to give,635.1,3.0
268
+ anything away because I respect my,636.72,3.66
269
+ patreon supporters privacy but they ask,638.1,5.34
270
+ me like how do I represent X Y or Z and,640.38,4.62
271
+ what I'm going to say is this is a way,643.44,3.839
272
+ to represent a lot of stuff,645.0,4.38
273
+ um what whatever whatever your domain of,647.279,5.701
274
+ expertise is you can ask it to do what I,649.38,5.699
275
+ did in there which is say just give me a,652.98,4.02
276
+ short list of you know statements,655.079,4.26
277
+ assertions explanations such that a,657.0,5.399
278
+ subject matter expert could re um could,659.339,5.641
279
+ uh reconstitute it,662.399,3.601
280
+ um,664.98,3.78
281
+ there we go and so here here it's it's,666.0,6.0
282
+ figuring this out as it goes periodic,668.76,4.98
283
+ evaluation and necessary to continued,672.0,4.32
284
+ efficiency this may be involve adjusting,673.74,4.5
285
+ the similarity threshold refining,676.32,4.259
286
+ semantic similarity measure modifying,678.24,3.719
287
+ other aspects,680.579,3.481
288
+ sparse priming representation is a,681.959,3.541
289
+ technique using conjunction to fill,684.06,3.24
290
+ acetate knowledge transfer and,685.5,4.14
291
+ reconstruction spr concise statements,687.3,4.979
292
+ are generated to summarize yeah so it,689.64,5.52
293
+ even understands just by virtue of,692.279,5.041
294
+ saying this is an spr and a brief,695.16,3.54
295
+ definition it understands the,697.32,3.18
296
+ implications,698.7,5.4
297
+ um there you go so now that it has has,700.5,7.44
298
+ um has reconstituted it we can say Okay,704.1,6.12
299
+ um great thanks,707.94,4.56
300
+ um can you discuss,710.22,6.78
301
+ how we could uh go about implementing,712.5,7.68
302
+ this for a chat bot,717.0,6.959
303
+ and so again because,720.18,3.779
304
+ um because this uh because gpt4 already,724.2,7.02
305
+ knows a whole bunch of coding and data,728.399,5.221
306
+ and stuff it's going to be able to talk,731.22,4.64
307
+ through the process,733.62,6.06
308
+ so this is going to,735.86,7.06
309
+ okay I don't think it fully,739.68,5.099
310
+ I gave it very simple instructions let's,742.92,3.84
311
+ see where it goes because often what,744.779,4.141
312
+ happens is and someone someone pointed,746.76,4.319
313
+ this out to me is that it'll kind of,748.92,4.02
314
+ talk through the problem and then give,751.079,3.961
315
+ you the answer so I learned the hard way,752.94,3.959
316
+ just be patient what it's basically,755.04,4.859
317
+ doing is it's talking itself through,756.899,5.161
318
+ um the the problem in the solution,759.899,4.68
319
+ so anyways excuse me I don't know why,762.06,4.2
320
+ I'm so hoarse,764.579,4.44
321
+ um but yeah so this is this is what I'm,766.26,4.5
322
+ working on right now and this is going,769.019,4.38
323
+ to have implications for for all all,770.76,5.1
324
+ chat Bots but also all autonomous AI,773.399,4.44
325
+ because again,775.86,3.539
326
+ um you know this is this is like the,777.839,3.661
327
+ first two minutes of conversation but,779.399,3.361
328
+ what happens when you have a million,781.5,2.459
329
+ logs what happens when you have a,782.76,3.66
330
+ billion logs so one thing that I suspect,783.959,5.461
331
+ will happen is,786.42,4.979
332
+ um the number of whoops,789.42,5.039
333
+ nah come back no,791.399,6.661
334
+ um I suspect that the number of logs,794.459,6.241
335
+ will go up geometrically,798.06,7.5
336
+ but what I also suspect is that the um,800.7,8.04
337
+ is that the number of KB articles will,805.56,7.2
338
+ actually go up and approach an asymptote,808.74,7.219
339
+ how do you get it to stop,812.76,3.199
340
+ there you go so I think I think that,816.959,3.421
341
+ this is kind of how it'll look where,819.06,3.66
342
+ like when you're when your Ace is new,820.38,4.86
343
+ when it's young it'll be creating a,822.72,5.22
344
+ bunch of new KB articles uh very quickly,825.24,4.92
345
+ but then over time the number of KB,827.94,3.899
346
+ articles will taper off because say for,830.16,3.72
347
+ instance there's only a finite amount of,831.839,4.321
348
+ information to learn about you and then,833.88,4.92
349
+ there will be a very slow trickle as,836.16,4.76
350
+ your life progresses right,838.8,5.46
351
+ and we can also exclude KB articles,840.92,5.919
352
+ about basic World Knowledge right all it,844.26,5.28
353
+ needs all your Ace needs is KB articles,846.839,5.221
354
+ about truly new novel and unique,849.54,4.979
355
+ information it doesn't need to record a,852.06,4.38
356
+ world model the world model is baked,854.519,5.461
357
+ into gpt4 and future models now one,856.44,6.6
358
+ other thing was because this is kind of,859.98,6.24
359
+ incrementally adding the KB articles,863.04,4.5
360
+ um let's see what it came up with okay,866.22,3.48
361
+ so talk through the problem,867.54,5.039
362
+ um one thing is that I asked it for the,869.7,5.46
363
+ pros and cons so right here,872.579,5.221
364
+ uh using a gating or and this is this is,875.16,4.679
365
+ how sophisticated it is,877.8,3.599
366
+ um using a gating or threshold function,879.839,3.721
367
+ to compare Roll-Ups against existing KBS,881.399,4.021
368
+ can be a viable alternative to,883.56,3.839
369
+ clustering so basically what we were,885.42,3.96
370
+ exploring was what if we use a,887.399,4.921
371
+ clustering algorithm to to,889.38,4.86
372
+ um figure out the chunks but then I was,892.32,3.48
373
+ like okay but we're not gonna We're Not,894.24,4.62
374
+ Gonna regenerate the uh the KB articles,895.8,5.099
375
+ every single time because that's going,898.86,4.08
376
+ to be prohibitively expensive so what if,900.899,5.341
377
+ we treat it more incrementally,902.94,5.04
378
+ um let's see this approach involves,906.24,3.3
379
+ comparing semantic similarity between a,907.98,3.06
380
+ new roll-up and existing KB articles if,909.54,2.52
381
+ it doesn't meet a predetermined,911.04,2.94
382
+ threshold okay so the pros it's simple,912.06,4.019
383
+ this approach is conceptually simple and,913.98,3.539
384
+ can be easier to implement compared to,916.079,4.021
385
+ clustering algorithms yes scalability as,917.519,4.26
386
+ new Roll-Ups are processed individually,920.1,3.78
387
+ the computational complexity of updating,921.779,4.381
388
+ KB articles grows linearly with the,923.88,3.42
389
+ number of Roll-Ups making it more,926.16,2.22
390
+ scalable,927.3,3.539
391
+ Dynamic growth the number of KB articles,928.38,3.84
392
+ can grow organically with the addition,930.839,4.68
393
+ of new rollups and then the cons it very,932.22,5.82
394
+ rightly identifies sub-optimal,935.519,4.921
395
+ organization because we're not using,938.04,5.22
396
+ Global clustering that's fine redundancy,940.44,5.16
397
+ there's a risk of creating similar KB,943.26,3.9
398
+ articles,945.6,3.419
399
+ um depending on the semantic similarity,947.16,4.32
400
+ and then parameter sensitivity so on and,949.019,5.521
401
+ so forth now that being said there is a,951.48,5.34
402
+ final step that we were that I was going,954.54,4.68
403
+ to talk about which is every now and,956.82,5.4
404
+ then we should do a re-indexing event,959.22,5.64
405
+ and so basically what that says is when,962.22,4.5
406
+ you're when your Ace is offline during,964.86,4.2
407
+ the dream sequence right so real-time,966.72,4.5
408
+ learning it can update the KB articles,969.06,4.8
409
+ in real time but then the dream sequence,971.22,5.479
410
+ it will delete all the KB articles,973.86,5.339
411
+ cluster the chunks based on semantic,976.699,5.08
412
+ similarity and then based on those,979.199,5.281
413
+ chunks write a whole new set of KB,981.779,3.841
414
+ articles,984.48,3.0
415
+ and so every now and then your,985.62,3.959
416
+ autonomous cognitive entity is going to,987.48,5.7
417
+ update its entire internal Wiki and then,989.579,6.361
418
+ these internal wikis are going to be the,993.18,6.3
419
+ primary source of information for your,995.94,5.579
420
+ uh for your for your cognitive entity,999.48,5.159
421
+ and so instead of searching millions of,1001.519,4.801
422
+ logs you're going to be searching,1004.639,4.44
423
+ hundreds or maybe a couple thousand KB,1006.32,5.579
424
+ articles which is a much more tractable,1009.079,4.38
425
+ problem,1011.899,3.901
426
+ um to find the correct thing and also,1013.459,3.781
427
+ they can be cross-linked to each other,1015.8,3.06
428
+ right because these KB articles these,1017.24,2.94
429
+ wikis,1018.86,3.24
430
+ um can be nodes and a knowledge graph,1020.18,4.08
431
+ which means it's like so my fiance was,1022.1,4.5
432
+ like okay so I was explaining it to her,1024.26,4.62
433
+ and she's like so what if it has what if,1026.6,6.3
434
+ it has a um an article on me and an,1028.88,6.539
435
+ article on her would it link the two of,1032.9,4.439
436
+ us and say that like we're engaged and,1035.419,3.561
437
+ you know our relationship has been ex,1037.339,3.901
438
+ long and I'm like yes we could probably,1038.98,5.74
439
+ do that it might also topically,1041.24,5.099
440
+ um so in terms of the kinds of topics,1044.72,4.079
441
+ here's another important thing in terms,1046.339,4.441
442
+ of kinds of topics we're probably going,1048.799,4.861
443
+ to have have it focus on people,1050.78,5.1
444
+ events,1053.66,5.399
445
+ um things like objects,1055.88,6.0
446
+ um as well as Concepts so a concept,1059.059,4.921
447
+ could be like the concept of the,1061.88,4.44
448
+ autonomous cognitive entity so people,1063.98,7.199
449
+ events things and Concepts and included,1066.32,7.32
450
+ in things are like places right so like,1071.179,6.781
451
+ the year 1080 the the place Paris France,1073.64,8.52
452
+ right so those are all viable nodes for,1077.96,6.12
453
+ a Knowledge Graph so that's that's kind,1082.16,3.78
454
+ of where we're at,1084.08,3.719
455
+ um yeah I think that's all I'm going to,1085.94,4.02
456
+ do today because like this is a lot and,1087.799,3.841
457
+ you can see that this conversation was,1089.96,3.48
458
+ very long,1091.64,4.5
459
+ um and uh but yeah so let me know what,1093.44,5.28
460
+ you think in the comments we are,1096.14,4.8
461
+ continuing to work,1098.72,4.199
462
+ um I had a few other things that I was,1100.94,4.14
463
+ going to say but I forgot them this is,1102.919,3.481
464
+ the most important thing and this is,1105.08,2.76
465
+ this is the hardest problem I'm working,1106.4,4.44
466
+ on and once I unlock this it's going to,1107.84,5.1
467
+ unlock a lot more work because think,1110.84,4.32
468
+ about think about breaking what if these,1112.94,4.38
469
+ logs instead of like our conversation,1115.16,4.379
470
+ what if these logs are scientific papers,1117.32,4.979
471
+ or what if these logs are scenes in a,1119.539,5.461
472
+ book right pretty much everything can be,1122.299,6.0
473
+ represented this way I think and then,1125.0,4.5
474
+ once you have these higher order,1128.299,3.601
475
+ abstractions and all of them point back,1129.5,4.08
476
+ so here's another really important thing,1131.9,3.899
477
+ that I forgot to mention is that there's,1133.58,4.4
478
+ metadata attached with each of these,1135.799,4.681
479
+ entities that points back to the,1137.98,4.059
480
+ original so you can you can still,1140.48,4.439
481
+ reconstruct the original information so,1142.039,4.441
482
+ if you have like you know a topical,1144.919,3.781
483
+ article here it'll point to all the,1146.48,5.28
484
+ chunks that were in that cluster that um,1148.7,5.04
485
+ that helped create it and then each of,1151.76,3.36
486
+ those chunks will point back to the,1153.74,3.12
487
+ original logs so you have kind of a,1155.12,4.08
488
+ pyramid shape,1156.86,5.76
489
+ um yeah so that's what I'm working on uh,1159.2,4.979
490
+ that's it I'll call it a day thanks for,1162.62,3.919
491
+ watching,1164.179,2.36
Terminal Race Condition The greatest danger we face from AGI and how to prevent it_transcript.csv ADDED
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1
+ text,start,duration
2
+ good morning everybody David Shapiro,0.42,3.6
3
+ here with another video,2.639,4.62
4
+ so today's video uh it started off as,4.02,5.28
5
+ one thing I wanted to primarily talk,7.259,4.861
6
+ about epistemic convergence uh but It,9.3,4.32
7
+ ultimately ended up being a little bit,12.12,2.54
8
+ more,13.62,2.82
9
+ all-encompassing so I'm going to,14.66,3.94
10
+ introduce a few new terms but we are,16.44,4.08
11
+ going to cover cover uh epistemic,18.6,4.259
12
+ convergence and a few other things,20.52,4.62
13
+ uh real quick before we dive into the,22.859,3.781
14
+ video just want to do a quick plug for,25.14,3.719
15
+ my patreon uh all tears get you access,26.64,4.32
16
+ to the private Discord server and then I,28.859,4.2
17
+ have a few higher tiers that uh come,30.96,4.32
18
+ with a one-on-one conversations and that,33.059,4.201
19
+ sort of thing so anyways back to the,35.28,5.16
20
+ video so first I wanted to share with,37.26,5.639
21
+ you guys uh the universal model of,40.44,4.98
22
+ Robotics so it has it's basically three,42.899,5.16
23
+ steps input processing and output or,45.42,4.38
24
+ sensing processing and controlling as,48.059,3.241
25
+ this Graphics shows,49.8,4.38
26
+ now this is the most basic cognitive,51.3,4.5
27
+ architecture that you can come up with,54.18,4.199
28
+ for artificial general intelligence it,55.8,4.439
29
+ needs input from the outside world from,58.379,3.66
30
+ the environment of some kind whether,60.239,3.3
31
+ it's a virtual environment digital,62.039,3.841
32
+ environment physical environment or,63.539,4.62
33
+ whatever cyber cybernetic environment,65.88,4.68
34
+ and then it needs some kind of internal,68.159,4.981
35
+ processing that includes memory task,70.56,4.2
36
+ construction executive function,73.14,4.519
37
+ cognitive control that sort of stuff,74.76,5.82
38
+ learning is another internal process and,77.659,5.381
39
+ then finally controlling or output it,80.58,4.859
40
+ needs to do something to act on the,83.04,5.1
41
+ world or its environment whether that's,85.439,4.801
42
+ just putting out you know text in a in,88.14,3.6
43
+ the form of a chat bot or if it's got,90.24,4.86
44
+ robotic hands that sort of thing so when,91.74,5.519
45
+ I talk about artificial general,95.1,3.9
46
+ intelligence being a system it's never,97.259,4.141
47
+ going to just be a model right even if,99.0,4.14
48
+ you have the most sophisticated model in,101.4,3.6
49
+ the world all that it's doing is the,103.14,3.839
50
+ processing part you also need the,105.0,4.799
51
+ sensing and controlling aspect and but,106.979,4.621
52
+ even above and beyond that each,109.799,4.081
53
+ components is going to be much more,111.6,4.32
54
+ complicated,113.88,4.08
55
+ so before we get into the rest of the,115.92,4.08
56
+ video I also want to talk about the form,117.96,4.26
57
+ factors that AGI is going to take so we,120.0,3.899
58
+ just established the simplest kind of,122.22,3.96
59
+ cognitive architecture but then there's,123.899,3.781
60
+ other things to consider because when,126.18,3.66
61
+ you think of AGI you might think of some,127.68,4.08
62
+ nebulous entity like Skynet but where,129.84,3.6
63
+ does it physically live,131.76,3.42
64
+ what is the hardware what is the,133.44,4.2
65
+ software where where is it physically,135.18,4.02
66
+ located because it's not magic right,137.64,3.179
67
+ it's not going to just run in the dirt,139.2,3.179
68
+ or something like that it needs to,140.819,4.381
69
+ actually have Hardware to run on so,142.379,5.761
70
+ there's three overarching categories,145.2,5.28
71
+ that I came up with so first is cloud,148.14,5.28
72
+ AGI so Cloud AGI is this is the stuff,150.48,4.38
73
+ that's gonna one it's going to be,153.42,3.06
74
+ created first just because of the amount,154.86,3.54
75
+ of compute and power available in data,156.48,5.22
76
+ centers so this is uh Enterprise grade,158.4,7.74
77
+ or data center grade AGI systems they,161.7,7.14
78
+ are in specialized buildings all over,166.14,5.22
79
+ the world but one of the biggest,168.84,4.38
80
+ constraints here is that there's limited,171.36,3.48
81
+ location and it takes a while to build,173.22,3.54
82
+ data centers right one of the things,174.84,3.96
83
+ that I think it was uh it was Elon,176.76,4.32
84
+ musker or Sam Altman said that you know,178.8,4.92
85
+ there are going to be limitations as to,181.08,5.28
86
+ the rate at which AGI can proliferate,183.72,5.519
87
+ namely the the rate at which we can,186.36,5.94
88
+ produce chips and also the rate at which,189.239,5.22
89
+ as I think Sam malt and said the you,192.3,4.439
90
+ know the concrete has to dry for data,194.459,3.121
91
+ centers,196.739,5.64
92
+ so this is uh one form factor that AGI,197.58,7.019
93
+ will take in terms of the the storage,202.379,4.801
94
+ the servers the network components that,204.599,4.86
95
+ will exist inside data centers so one,207.18,3.839
96
+ thing I wanted to watch it say is watch,209.459,3.841
97
+ out for uh fortified data centers these,211.019,3.841
98
+ are ones that are put in bunkers or if,213.3,3.659
99
+ you put Sam sites on top of it so that,214.86,4.26
100
+ you can't shut them down uh that was,216.959,3.42
101
+ kind of tongue-in-cheek I'm not actually,219.12,3.36
102
+ advocating for bombing data centers at,220.379,4.681
103
+ least not yet the next form factor is,222.48,5.16
104
+ Edge AGI so this is stuff that is going,225.06,4.22
105
+ to run in,227.64,3.84
106
+ self-contained servers that you can,229.28,4.9
107
+ basically plug in anywhere they're going,231.48,6.539
108
+ to be you know desktop size maybe larger,234.18,5.82
109
+ but the point is that pretty much all,238.019,3.481
110
+ you need is power and internet you don't,240.0,4.319
111
+ need a specialized building and they can,241.5,4.62
112
+ be moved on trucks they can be put in,244.319,3.961
113
+ ships airplanes that sort of stuff,246.12,3.72
114
+ because you can't really airlift an,248.28,4.019
115
+ entire data center so basically Edge is,249.84,4.619
116
+ something is just one size down from,252.299,3.481
117
+ data center you don't need a specialized,254.459,2.52
118
+ building you don't need specialized,255.78,3.66
119
+ cooling they can run anywhere,256.979,3.72
120
+ um and they're so in that respect,259.44,2.94
121
+ they're more portable but they're not,260.699,4.741
122
+ necessarily going to be as powerful at,262.38,5.039
123
+ least or not as energy intensive and,265.44,5.039
124
+ energy dense as a data center or a cloud,267.419,4.021
125
+ Center,270.479,4.141
126
+ and then finally ambulatory AGI this is,271.44,5.46
127
+ the embodied stuff such as C-3PO and,274.62,3.98
128
+ Commander data which I have imaged here,276.9,4.98
129
+ they're self-contained meaning that all,278.6,5.14
130
+ the systems that they need are within,281.88,4.319
131
+ their chassis within their robotic body,283.74,5.519
132
+ and they can move on their own so that's,286.199,4.5
133
+ basically the difference between an edge,289.259,5.101
134
+ AGI and an ambulatory AGI is uh they,290.699,5.401
135
+ might have roughly the same components,294.36,4.14
136
+ but it's one is accompanied with a,296.1,6.12
137
+ robotic uh chassis now one thing to keep,298.5,6.18
138
+ in mind is that all of these things are,302.22,4.86
139
+ intrinsically networkable meaning they,304.68,4.32
140
+ can communicate over digital networks,307.08,4.559
141
+ whether it's Wi-Fi or you know fiber,309.0,5.16
142
+ optic backbone networks or even you know,311.639,4.141
143
+ Satellite Communication like starlink,314.16,3.9
144
+ now that's that doesn't necessarily have,315.78,4.08
145
+ to be true because remember the model of,318.06,4.44
146
+ AGI is input processing and output that,319.86,5.76
147
+ input that input could be just eyes and,322.5,4.979
148
+ ears cameras and microphones that input,325.62,4.26
149
+ could also be network connections from,327.479,4.621
150
+ outside meaning that they could,329.88,4.44
151
+ communicate directly with each other via,332.1,5.28
152
+ you know like IRC or whatever so just,334.32,4.86
153
+ wanted to say that there are different,337.38,3.72
154
+ form factors that we should expect AGI,339.18,2.94
155
+ to take,341.1,3.3
156
+ with different trade-offs so one,342.12,5.22
157
+ advantage of ambulatory uh AGI you know,344.4,6.12
158
+ yes they will have less power uh and by,347.34,5.88
159
+ power I mean computational power but,350.52,5.28
160
+ they have the ability to go anywhere do,353.22,6.66
161
+ anything kind of like URI uh now that,355.8,6.959
162
+ being said the the amount of compute,359.88,4.8
163
+ resources that can be crammed into Data,362.759,3.66
164
+ Centers basically means that you can,364.68,4.38
165
+ puppet you know millions or billions of,366.419,5.161
166
+ peripheral robots rather than having it,369.06,4.44
167
+ fully self-contained and in a previous,371.58,3.899
168
+ video I talked about how we're likely to,373.5,4.639
169
+ see hybrid systems where you have,375.479,5.22
170
+ semi-autonomous peripherals that have,378.139,4.481
171
+ some intelligence but not a whole lot of,380.699,4.201
172
+ intelligence and you see this in movies,382.62,4.919
173
+ like Will Smith's iRobot as well as the,384.9,4.38
174
+ Matrix where the the drones the,387.539,3.78
175
+ squiddies and the Matrix they're,389.28,3.479
176
+ semi-autonomous but they are still,391.319,3.301
177
+ centrally controlled by a much more,392.759,4.021
178
+ powerful intelligence so you're probably,394.62,3.72
179
+ not going to see it all one or the other,396.78,3.06
180
+ you're probably going to see hybrids,398.34,3.54
181
+ where you've got peripheral robots that,399.84,4.02
182
+ are either fully autonomous or,401.88,4.92
183
+ semi-autonomous or puppeted by stronger,403.86,4.98
184
+ Central intelligences that being said,406.8,4.26
185
+ you can also create droids there's no,408.84,4.5
186
+ reason that we could not create fully,411.06,4.38
187
+ self-contained machines that don't,413.34,4.74
188
+ really have any network connectivity,415.44,4.86
189
+ um to the to other machines,418.08,3.899
190
+ that being said they would be at a,420.3,3.78
191
+ distinct disadvantage and what I mean by,421.979,4.5
192
+ that is that if you create swarm,424.08,4.8
193
+ intelligence or Wireless federations of,426.479,4.741
194
+ machines they can perform cognitive,428.88,6.24
195
+ offload or share computational resources,431.22,6.66
196
+ so for instance rather than and this is,435.12,4.44
197
+ how the Geth work in Mass Effect by the,437.88,4.439
198
+ way so rather than have every single,439.56,6.06
199
+ machine have to think about the entire,442.319,5.94
200
+ plan the entire strategy most of them,445.62,4.919
201
+ Focus only on their primary task and,448.259,5.401
202
+ then any surplus compute computational,450.539,6.121
203
+ power they have is dedicated towards you,453.66,5.52
204
+ know running algorithms for for the big,456.66,4.68
205
+ the big brain the hive mind,459.18,4.56
206
+ this is all hypothetical but one thing,461.34,4.32
207
+ that I want to point out is that many,463.74,3.54
208
+ many many machines work like this,465.66,4.56
209
+ already and what I mean by that is the,467.28,4.38
210
+ simplest version that many people are,470.22,3.9
211
+ probably aware of is if you have like,471.66,3.84
212
+ Bluetooth speakers or smart speakers,474.12,3.6
213
+ like Sonos or whatever those form a,475.5,5.819
214
+ wireless Federation uh ditto for like,477.72,5.28
215
+ your Amazon Alexa's and other things,481.319,4.261
216
+ like that those intrinsically form mesh,483.0,4.259
217
+ networks or Wireless federations meaning,485.58,3.48
218
+ that they can work together and,487.259,4.321
219
+ communicate now when you add artificial,489.06,5.46
220
+ intelligence to that then they can share,491.58,4.559
221
+ thinking and messaging and that sort of,494.52,2.64
222
+ stuff so that's what I mean by,496.139,4.801
223
+ federations or or wireless networks of,497.16,6.599
224
+ of AI okay so now you're familiar with,500.94,4.74
225
+ the background of how you know some of,503.759,5.041
226
+ the systemic aspects of it there's a few,505.68,4.919
227
+ default metrics of power so when I say,508.8,3.359
228
+ power I don't necessarily just mean,510.599,3.721
229
+ electricity although certainly all of,512.159,3.961
230
+ these things do require electricity to,514.32,2.82
231
+ run,516.12,4.26
232
+ so first is processing power so for,517.14,5.1
233
+ instance you might hear the term flops,520.38,4.2
234
+ which is floating Point operations per,522.24,7.68
235
+ second uh you also hear CPU GPU TPU and,524.58,7.02
236
+ then there's parallel parallelization,529.92,4.02
237
+ which means that you have many of these,531.6,5.1
238
+ things working together so processing,533.94,4.62
239
+ power is one component of the total,536.7,4.68
240
+ amount of power in the hardware layer so,538.56,4.44
241
+ this is all strictly Hardware layer I'm,541.38,3.48
242
+ not talking about parameter models,543.0,4.74
243
+ because I I don't really care about how,544.86,4.68
244
+ many parameters a model has there's lots,547.74,4.02
245
+ of ways to make intelligent machines,549.54,4.2
246
+ deep neural networks are currently the,551.76,4.079
247
+ best way but we're also discovering,553.74,3.719
248
+ efficiencies where you can kind of pair,555.839,3.661
249
+ them down you can distill them and make,557.459,3.541
250
+ them more efficient meaning that you can,559.5,3.36
251
+ on the same piece of Hardware you can,561.0,4.8
252
+ run more of them in parallel or you can,562.86,5.52
253
+ run one much faster so the underlying,565.8,3.96
254
+ Hardware is still going to be the,568.38,3.8
255
+ primary bottleneck or primary constraint,569.76,5.1
256
+ all else considered,572.18,5.68
257
+ uh memory so this is Ram it also,574.86,5.36
258
+ includes memory accelerators or caching,577.86,5.46
259
+ storage has to do with bulk data your,580.22,4.9
260
+ databases your archives your backups,583.32,4.44
261
+ this is when you say like hard drive or,585.12,4.74
262
+ SSD or you know storage area network,587.76,4.259
263
+ that sort of thing and then networking,589.86,4.68
264
+ is the the uplinks and downlinks this is,592.019,4.741
265
+ the the fiber optic connections the,594.54,3.72
266
+ wireless connections the satellite,596.76,3.9
267
+ connections that sort of thing so these,598.26,4.38
268
+ are the kind of the the rudimentary,600.66,4.799
269
+ parts that all AGI are going to run on,602.64,5.879
270
+ uh and this is just the brains too this,605.459,4.621
271
+ is not the peripherals this is not the,608.519,3.241
272
+ robots but this is what's going to,610.08,4.259
273
+ dictate or constrain how fast it is now,611.76,5.94
274
+ again like I said uh different neural,614.339,5.221
275
+ networks are going to operate at,617.7,3.42
276
+ different efficiencies so for instance,619.56,5.82
277
+ uh you know gpt4 is out now gpt5 might,621.12,6.96
278
+ be the same size it might be bigger but,625.38,4.82
279
+ then we're also finding open source,628.08,6.06
280
+ research like the Orca alpaca llama that,630.2,5.92
281
+ are getting like ninety percent of the,634.14,4.56
282
+ performance but at like one tenth or one,636.12,4.98
283
+ hundredth of the size and so you have a,638.7,4.199
284
+ trade-off of intelligence and versus,641.1,4.56
285
+ speed and power and we'll talk more a,642.899,5.221
286
+ lot more about that in the future of,645.66,4.739
287
+ this video at near the middle and end of,648.12,4.2
288
+ this video about how trading off,650.399,4.801
289
+ intelligence for Speed is often a more,652.32,4.56
290
+ advantageous strategy and how this,655.2,4.199
291
+ figures into solving the control problem,656.88,5.28
292
+ and solving alignment,659.399,4.981
293
+ um okay so we kind of set the stage as,662.16,4.98
294
+ as to how AGI is probably going to look,664.38,5.639
295
+ so let's talk about the early ecosystem,667.14,6.18
296
+ of AGI so in the coming years we're,670.019,4.921
297
+ going to be building millions and then,673.32,3.24
298
+ billions of autonomous and,674.94,4.5
299
+ semi-autonomous agents so at first these,676.56,4.2
300
+ agents are going to be purely digital,679.44,3.44
301
+ right you know a,680.76,4.56
302
+ semi-autonomous slack bot a,682.88,4.54
303
+ semi-autonomous Discord bot people are,685.32,4.32
304
+ already building these right and some of,687.42,3.72
305
+ them have the ability to modify their,689.64,2.879
306
+ own code some of them have the ability,691.14,3.78
307
+ to learn many of them don't most of them,692.519,4.32
308
+ use frozen llms in the background,694.92,3.659
309
+ meaning that they're that their,696.839,4.201
310
+ cognitive capacity is pretty much capped,698.579,4.981
311
+ by its backing model,701.04,5.76
312
+ now that being said as these agents,703.56,5.279
313
+ become more autonomous they go from,706.8,4.2
314
+ semi-autonomous to autonomous this will,708.839,4.201
315
+ create a competitive landscape,711.0,4.86
316
+ and what I mean by that is that humans,713.04,5.28
317
+ will have the ability to build and,715.86,5.159
318
+ destroy these models for basically,718.32,4.62
319
+ arbitrary reasons because you want to or,721.019,3.781
320
+ because you don't like it or whatever,722.94,4.26
321
+ so that means that we will be selecting,724.8,5.52
322
+ those agents those uh those models those,727.2,6.18
323
+ llms and those pieces of software that,730.32,4.32
324
+ are going to be more helpful more,733.38,3.6
325
+ productive and more aligned so this,734.64,4.08
326
+ creates selective pressure basically,736.98,3.299
327
+ saying that there's going to be a,738.72,2.88
328
+ variety there's going to be millions or,740.279,3.24
329
+ billions of Agents out there some of,741.6,3.9
330
+ them are going to get the ax and some of,743.519,4.141
331
+ them are going to be selected to say hey,745.5,4.079
332
+ we like we like you we're going to keep,747.66,2.88
333
+ you around,749.579,3.901
334
+ so there's a few off the cuff selective,750.54,4.799
335
+ pressures that we can imagine basically,753.48,3.84
336
+ why do you choose an app right why do,755.339,3.361
337
+ you choose to use an app why do you,757.32,3.54
338
+ choose to uninstall an app that's kind,758.7,3.36
339
+ of the level that we're talking about,760.86,3.9
340
+ here so first is functional utility how,762.06,4.019
341
+ useful is it,764.76,3.6
342
+ how much does it help you is it fast,766.079,3.541
343
+ enough does it have a good user,768.36,3.5
344
+ experience is the user interface,769.62,5.88
345
+ created correctly is it adding value to,771.86,7.06
346
+ your life is it worth using the second,775.5,6.079
347
+ part is speed and efficiency,778.92,6.06
348
+ basically if something takes four weeks,781.579,5.141
349
+ to give you a good answer but another,784.98,4.2
350
+ thing takes 10 minutes even if it's not,786.72,4.559
351
+ quite as good that speed is going to be,789.18,4.14
352
+ super super valuable but then there's,791.279,4.081
353
+ also energetic efficiency and cost,793.32,4.94
354
+ efficiency more often than not,795.36,5.34
355
+ individuals and businesses will choose,798.26,5.56
356
+ the solution that is good enough but,800.7,5.04
357
+ also much cheaper it doesn't have to be,803.82,4.019
358
+ perfect it just has to be good enough,805.74,4.86
359
+ and then finally apparent alignment and,807.839,5.101
360
+ so I use the the word apparent alignment,810.6,4.38
361
+ to basically mean things that appear to,812.94,4.199
362
+ be tame things that appear to be user,814.98,4.56
363
+ friendly uh and this is what uh tools,817.139,5.521
364
+ like rlhf do which one thing that rlhf,819.54,4.68
365
+ does is like wolves which we'll talk,822.66,4.619
366
+ about in a second are the rlhf,824.22,4.2
367
+ reinforcement learning with human,827.279,4.68
368
+ feedback forces gpt4 to dumb itself down,828.42,6.539
369
+ so that it better serves us uh and that,831.959,4.56
370
+ makes us feel safe because it's,834.959,4.32
371
+ basically pretending to be more like us,836.519,5.641
372
+ to speak on our terms and to mimic our,839.279,4.981
373
+ level of intelligence now that being,842.16,3.419
374
+ said,844.26,2.579
375
+ um one thing that I do want to point out,845.579,4.021
376
+ is that gpd4 the underlying model is,846.839,4.74
377
+ superior to anything that we have seen,849.6,5.239
378
+ in the public every version of chat GPT,851.579,6.021
379
+ has basically been kind of a little bit,854.839,6.101
380
+ hamstrung so we shall we say uh from the,857.6,6.82
381
+ the total capacity of gpt4,860.94,5.699
382
+ so what I call this is domestication and,864.42,4.8
383
+ supplication think of dogs and wolves,866.639,5.101
384
+ this little pomeranian descended from,869.22,4.98
385
+ wolves wolves used to be apex predators,871.74,4.62
386
+ wolves are also are much more,874.2,4.02
387
+ intelligent than dogs,876.36,6.419
388
+ so when you look at the early days of,878.22,6.84
389
+ AGI when we still have the off switch,882.779,3.781
390
+ and we have the power to delete,885.06,3.12
391
+ everything,886.56,3.899
392
+ we should expect some of the following,888.18,5.7
393
+ evolutionary pressures to kind of shape,890.459,6.421
394
+ the way that AGI evolves and adapts so,893.88,5.519
395
+ first we'll probably be selecting for,896.88,4.079
396
+ machines that are okay with being turned,899.399,4.201
397
+ off in the early days you don't,900.959,4.38
398
+ necessarily want your toaster fighting,903.6,3.479
399
+ with you when when you're done you know,905.339,3.3
400
+ toasting your bread it's time for it to,907.079,3.661
401
+ turn off and so we're probably going to,908.639,3.781
402
+ select machines and architectures and,910.74,3.779
403
+ models that are more or less okay with,912.42,3.539
404
+ being switched off that they don't have,914.519,3.801
405
+ a sense of death or a fear of death,915.959,4.62
406
+ we're also going to select machines that,918.32,4.6
407
+ are more eager to please just the same,920.579,5.281
408
+ way that with uh dogs have been bred and,922.92,5.159
409
+ selected to be very very eager to please,925.86,3.599
410
+ us,928.079,3.181
411
+ we're also going to select machines that,929.459,3.781
412
+ don't fall into the uncanny valley and,931.26,3.48
413
+ so what I mean by that is the uncanny,933.24,4.02
414
+ valley of when you're interacting with a,934.74,4.56
415
+ machine that you sense is an alien,937.26,3.78
416
+ intelligence it will make you very very,939.3,4.2
417
+ deeply uncomfortable as an autistic,941.04,4.799
418
+ person as someone who is neurodiverse I,943.5,4.139
419
+ have to modulate the way that I speak,945.839,4.68
420
+ and act around neurotypical people,947.639,5.401
421
+ because I fall into the same uncanny,950.519,5.94
422
+ valley right and some uh some CEOs out,953.04,5.039
423
+ there get teased for this for instance,956.459,3.24
424
+ Mark Zuckerberg I don't know if he's,958.079,3.841
425
+ actually autistic but he certainly pings,959.699,4.44
426
+ that radar where it's like okay he,961.92,3.539
427
+ obviously does not think the way that,964.139,3.361
428
+ the rest of us do and he also behaves,965.459,4.44
429
+ differently so Mark Zuckerberg like many,967.5,5.1
430
+ of us uh people on the Spectrum kind of,969.899,4.56
431
+ fall into that uncanny valley again I,972.6,4.44
432
+ don't know but uh,974.459,5.221
433
+ he certainly looks uh he he plays the,977.04,6.06
434
+ part so but the idea is that when you,979.68,5.339
435
+ interact with something that give that,983.1,4.26
436
+ kind of gives you the heebie-jeebies you,985.019,3.901
437
+ don't like it,987.36,4.14
438
+ now that being said we will still select,988.92,4.68
439
+ machines that are smarter to a certain,991.5,3.66
440
+ degree because you don't want something,993.6,3.659
441
+ to be too smart but you do also want it,995.16,3.599
442
+ to be smart enough to be very very,997.259,2.64
443
+ useful,998.759,3.181
444
+ another selective pressure is that we're,999.899,3.421
445
+ going to choose things that are stable,1001.94,3.06
446
+ robust and resilient so remember when,1003.32,3.12
447
+ Bing first came out and it was,1005.0,3.66
448
+ completely unhinged you could get it,1006.44,3.78
449
+ into you could coax it into like,1008.66,4.619
450
+ threatening you and you know threatening,1010.22,4.859
451
+ to take over the world and you know,1013.279,3.721
452
+ threatening to see you all kinds of,1015.079,4.2
453
+ crazy stuff so obviously that version,1017.0,4.44
454
+ got shut down really quick,1019.279,4.321
455
+ um you're also going to select uh models,1021.44,4.139
456
+ and agents that are more resilient,1023.6,3.839
457
+ against those kinds of adversarially,1025.579,3.061
458
+ attacks,1027.439,3.0
459
+ um whether they are accidental right you,1028.64,2.88
460
+ don't want something to be mentally,1030.439,3.48
461
+ unstable just on its own right like Bing,1031.52,6.0
462
+ was originally uh or Tay tweets but you,1033.919,5.101
463
+ also want it to be resilient against,1037.52,4.74
464
+ being manipulated by other hostile,1039.02,5.039
465
+ actors because imagine that your,1042.26,3.9
466
+ personal AI assistance just becomes,1044.059,4.02
467
+ unhinged one day because a hacker,1046.16,3.72
468
+ somewhere was messing with it so,1048.079,3.48
469
+ Security will be one of the selective,1049.88,3.0
470
+ pressures,1051.559,3.841
471
+ likewise you'll you'll as part of The,1052.88,4.38
472
+ Uncanny Valley thing you're going to,1055.4,2.94
473
+ select things that are more,1057.26,2.82
474
+ comprehensible to us that are better at,1058.34,3.78
475
+ explaining themselves to us so that,1060.08,3.78
476
+ includes transparency emotional,1062.12,5.04
477
+ intelligence and so on uh and then again,1063.86,5.46
478
+ apparent alignment things that's that,1067.16,4.74
479
+ that uh don't kind of trigger your,1069.32,4.62
480
+ existential dread because there have,1071.9,4.56
481
+ been times for instance where I've been,1073.94,5.94
482
+ working with chat GPT uh on the API side,1076.46,5.16
483
+ and kind of giving it different sets of,1079.88,4.62
484
+ instructions and even just a slight,1081.62,5.58
485
+ misalignment between how I approach,1084.5,4.86
486
+ moral problems and how this model,1087.2,4.56
487
+ approaches moral problems are really,1089.36,5.939
488
+ deeply unsettling and so it's like there,1091.76,5.58
489
+ there's been a few times where it's like,1095.299,3.301
490
+ I'm working with this thing and I'm,1097.34,3.78
491
+ building a semi-autonomous chat Bots and,1098.6,3.959
492
+ it's like I understand it's reasoning,1101.12,3.419
493
+ but it's like oh that's really cringe,1102.559,3.901
494
+ and it kind of scares me,1104.539,4.38
495
+ um so in that respect it's like let's,1106.46,4.14
496
+ change this model so that it's not quite,1108.919,2.821
497
+ so scary,1110.6,2.52
498
+ and I'm saying that this is possible,1111.74,4.22
499
+ today that if you use the chat GPT API,1113.12,5.4
500
+ you can give it programming you can give,1115.96,5.26
501
+ it reasoning and goals uh and and,1118.52,4.86
502
+ patterns of thought that are already,1121.22,4.5
503
+ already on the kind of in the midst of,1123.38,3.84
504
+ that uncanny valley,1125.72,4.38
505
+ uh then you can uh we'll also select for,1127.22,4.92
506
+ things that are more uh docile so,1130.1,3.6
507
+ basically how dogs you know you can pet,1132.14,2.7
508
+ them you can wrestle with them and,1133.7,2.339
509
+ they're probably not going to eat your,1134.84,3.719
510
+ face uh plastic and so things that are,1136.039,4.921
511
+ changeable or adaptable and Cooperative,1138.559,4.201
512
+ those are other things that we're going,1140.96,4.74
513
+ to select for so basically dogs are,1142.76,5.159
514
+ dumber than wolves and the reason for,1145.7,3.96
515
+ this is what I call capability,1147.919,4.14
516
+ equilibrium which will unpack more in,1149.66,5.28
517
+ the in a few slides but the the very,1152.059,4.801
518
+ short version of capability equilibrium,1154.94,3.96
519
+ is that your intellect must be equal to,1156.86,3.84
520
+ the task and if your intellect is above,1158.9,3.779
521
+ the task there's no advantage and in,1160.7,3.54
522
+ fact there can be disadvantages because,1162.679,3.901
523
+ of the costs associated with higher,1164.24,4.02
524
+ intelligence,1166.58,4.02
525
+ okay so I've talked about this idea,1168.26,5.76
526
+ plenty instrumental convergence uh this,1170.6,6.0
527
+ was coined by Nick Bostrom in 2003 who,1174.02,4.44
528
+ is a philosopher,1176.6,3.959
529
+ um the very short version is that,1178.46,3.959
530
+ regardless of the terminal goals or main,1180.559,5.101
531
+ objectives that a machine has uh AGI,1182.419,5.161
532
+ will likely pursue intermediate or,1185.66,4.259
533
+ instrumental goals or basically other,1187.58,3.9
534
+ stuff that it needs in order to meet,1189.919,5.401
535
+ those other ends so whatever like let's,1191.48,5.88
536
+ say you give an AGI the goal of like,1195.32,5.46
537
+ getting them getting a a spacecraft to,1197.36,5.58
538
+ Alpha Centauri well it's going to need a,1200.78,3.66
539
+ laundry list of other stuff to do that,1202.94,3.72
540
+ it's going to need resources like power,1204.44,6.0
541
+ materials electricity data it's going to,1206.66,6.06
542
+ need self-preservation because if the,1210.44,4.44
543
+ machine goes offline it will realize,1212.72,5.1
544
+ that is a failure State and so we'll try,1214.88,4.98
545
+ and avoid those failure conditions by,1217.82,3.96
546
+ preserving its own existence,1219.86,3.48
547
+ another thing is that it will probably,1221.78,3.06
548
+ decide that it needs self-improvement,1223.34,4.079
549
+ because if it realizes that its current,1224.84,5.219
550
+ capability its current capacity is not,1227.419,4.681
551
+ equal to the task if it's too dumb it's,1230.059,3.541
552
+ going to say okay well I need to raise,1232.1,3.06
553
+ my intelligence so that I'm equal to,1233.6,2.76
554
+ that task,1235.16,3.66
555
+ now that being said Nick boster makes,1236.36,4.559
556
+ quite a few uh assumptions about the way,1238.82,5.099
557
+ that AGI will work so for instance he,1240.919,5.521
558
+ kind of imagines that um AGI is going to,1243.919,3.961
559
+ be very single-minded and somewhat,1246.44,4.32
560
+ monolithic uh basically mindlessly,1247.88,4.98
561
+ pursuing one goal which I would actually,1250.76,3.96
562
+ classify this as a middle intelligence,1252.86,4.319
563
+ rather than a high intelligence AGI and,1254.72,3.9
564
+ we'll talk about that in a little bit as,1257.179,2.941
565
+ well,1258.62,3.6
566
+ he also assumes that it's going to lack,1260.12,3.9
567
+ other forces or competitive pressures,1262.22,4.26
568
+ and that these uh might exist in a,1264.02,5.399
569
+ vacuum basically that resource,1266.48,4.5
570
+ acquisition and self-preservation and,1269.419,4.021
571
+ self-improvement are going to exist in,1270.98,5.16
572
+ in the absence of other forces or,1273.44,5.22
573
+ pressures such as competitive pressures,1276.14,4.38
574
+ or internal pressures which I will talk,1278.66,2.879
575
+ about more,1280.52,3.42
576
+ and finally that they will lack a higher,1281.539,5.361
577
+ purpose or the ability to be completely,1283.94,5.82
578
+ self-determining so basically what I,1286.9,7.0
579
+ mean by that is that okay yes once a,1289.76,6.48
580
+ machine is intelligent enough it can you,1293.9,3.72
581
+ know you can say like hey I want you to,1296.24,3.72
582
+ get us to Alpha Centauri and the AG I,1297.62,4.02
583
+ might say like okay whatever I don't,1299.96,2.88
584
+ think that's a good goal so I'm going to,1301.64,4.26
585
+ choose my own goal uh which that being,1302.84,5.459
586
+ said even if AGI become fully autonomous,1305.9,4.019
587
+ and you know kind of give a flip us the,1308.299,3.36
588
+ bird they're probably still going to,1309.919,3.421
589
+ benefit from some convergence which,1311.659,4.621
590
+ we'll talk about as well uh now what I,1313.34,4.62
591
+ want to point out is that there is a,1316.28,4.74
592
+ huge parallel between evolutionary,1317.96,5.04
593
+ pressures and selective pressures and,1321.02,4.08
594
+ this instrumental convergence basically,1323.0,4.86
595
+ all life forms all organisms have have,1325.1,5.4
596
+ converged on a few basic principles such,1327.86,4.98
597
+ as get energy somehow right there's,1330.5,4.02
598
+ autotrophs which make their own energy,1332.84,3.839
599
+ plants and there's heterotrophs which,1334.52,5.039
600
+ take energy from other uh creatures,1336.679,6.24
601
+ uh they through either predation or,1339.559,4.86
602
+ consuming you know plant matter or,1342.919,2.341
603
+ whatever,1344.419,4.081
604
+ uh so when you operate in a competitive,1345.26,5.039
605
+ environment there's there's going to be,1348.5,3.6
606
+ convergence around certain strategies,1350.299,4.081
607
+ this is true for evolution and this will,1352.1,4.68
608
+ also be true more or less with some,1354.38,4.56
609
+ variances in the competitive environment,1356.78,4.92
610
+ between intelligent machines that being,1358.94,4.38
611
+ said because they have a fundamentally,1361.7,4.02
612
+ different substrate there will be we,1363.32,3.839
613
+ should anticipate that there will be,1365.72,2.88
614
+ some differences,1367.159,4.201
615
+ between organisms the way that organisms,1368.6,4.74
616
+ evolve and the way that machines evolve,1371.36,3.78
617
+ not the least of which is that machines,1373.34,3.6
618
+ can rewrite their own source code we,1375.14,3.24
619
+ cannot rewrite our own source code at,1376.94,2.58
620
+ least not,1378.38,3.0
621
+ um not in a hurry it takes us quite a,1379.52,3.48
622
+ long time,1381.38,4.679
623
+ okay so the idea that one of the ideas,1383.0,4.559
624
+ that I'm introducing and I've been,1386.059,2.821
625
+ talking about this for a while is,1387.559,4.561
626
+ epistemic Convergence so instrumental,1388.88,4.86
627
+ convergence talks about the objective,1392.12,3.539
628
+ behaviors and strategies that machines,1393.74,4.74
629
+ adopt epistemic convergence is well let,1395.659,3.921
630
+ me just read you the definition,1398.48,3.059
631
+ epistemic convergence is the principle,1399.58,4.2
632
+ that within any given information domain,1401.539,4.561
633
+ sufficiently sophisticated intelligent,1403.78,4.72
634
+ agents given adequate time and data will,1406.1,3.959
635
+ progressively develop more precise,1408.5,3.299
636
+ accurate and efficient models of that,1410.059,4.081
637
+ domain these models aim to mirror the,1411.799,3.781
638
+ inherent structures principles and,1414.14,3.539
639
+ relationships within that domain over,1415.58,3.78
640
+ time the process of learning testing and,1417.679,3.841
641
+ refining understanding will lead these,1419.36,4.02
642
+ agents towards a shared comprehension of,1421.52,4.74
643
+ the Dom domain's fundamental truths in,1423.38,5.299
644
+ other words to put it more simply,1426.26,4.919
645
+ intelligent entities tend to think alike,1428.679,4.061
646
+ especially when they are operating in,1431.179,3.841
647
+ the same competitive space,1432.74,5.88
648
+ so you and I All Humans we operate on,1435.02,5.58
649
+ planet Earth in the universe in the,1438.62,4.74
650
+ Milky Way galaxy because of that similar,1440.6,5.12
651
+ context scientists all over the world,1443.36,4.62
652
+ repeatedly come to the same conclusions,1445.72,5.079
653
+ even when there are boundaries such as,1447.98,5.22
654
+ linguistic and cultural differences and,1450.799,4.441
655
+ this was most starkly seen during the,1453.2,4.2
656
+ Cold war between uh America and the,1455.24,3.2
657
+ Soviet Union,1457.4,4.08
658
+ whereby scientists independently whether,1458.44,4.239
659
+ it was nuclear physicist or,1461.48,3.199
660
+ astrophysicist or whatever,1462.679,5.041
661
+ rocket Engineers came to the same exact,1464.679,4.781
662
+ conclusions about the way that the,1467.72,3.78
663
+ Universe worked and also found the same,1469.46,6.06
664
+ optimization uh uh patterns even though,1471.5,5.58
665
+ there was no communication between them,1475.52,3.899
666
+ and so epistemic convergence there's,1477.08,4.86
667
+ obviously uh evidence of that happening,1479.419,4.081
668
+ because humans we have the same,1481.94,4.619
669
+ fundamental Hardware right we're all the,1483.5,5.64
670
+ same species and so therefore you have,1486.559,4.801
671
+ similarities between the agents now that,1489.14,3.659
672
+ being said,1491.36,4.02
673
+ uh there is also evidence of epistemic,1492.799,5.641
674
+ convergence between between species and,1495.38,5.52
675
+ so what I mean by that is even animals,1498.44,4.44
676
+ that have a very very different taxonomy,1500.9,4.38
677
+ such as ravens and crows and octopuses,1502.88,5.4
678
+ they all still demonstrate very similar,1505.28,5.22
679
+ problem solving strategies even though,1508.28,4.86
680
+ that octopuses have a very decentralized,1510.5,4.38
681
+ cognition that a lot of their cognition,1513.14,4.08
682
+ occurs in their arms for instance you,1514.88,4.14
683
+ can't get much more alien from us than,1517.22,3.72
684
+ that they still adopt very similar,1519.02,3.72
685
+ problem-solving strategies and learning,1520.94,3.42
686
+ strategies that we do,1522.74,4.62
687
+ uh again despite the fact that they are,1524.36,4.62
688
+ they live underwater they have a very,1527.36,3.78
689
+ different body plan so on and so forth,1528.98,4.92
690
+ so I personally suspect that there is a,1531.14,4.56
691
+ tremendous amount of evidence for,1533.9,4.2
692
+ epistemic convergence and we should we,1535.7,4.979
693
+ should expect epistemic convergence and,1538.1,5.939
694
+ encourage epistemic convergence uh and,1540.679,5.341
695
+ for reasons that I'll go over uh later,1544.039,5.061
696
+ in the video but basically,1546.02,6.42
697
+ AI agents will we should expect and help,1549.1,6.52
698
+ them to arrive at similar conclusions in,1552.44,4.26
699
+ the long run,1555.62,3.48
700
+ now let's talk about these evolutionary,1556.7,5.4
701
+ uh niches that will be developed at,1559.1,5.76
702
+ least in the in in the um uh the short,1562.1,4.26
703
+ term near term,1564.86,4.199
704
+ and what I mean by this is segments,1566.36,4.439
705
+ market segments where we will be,1569.059,4.62
706
+ deploying intelligent AGI systems so,1570.799,5.88
707
+ first is domestic uh personal and,1573.679,4.62
708
+ consumer grade stuff so this is going to,1576.679,4.021
709
+ be the AGI running on your MacBook this,1578.299,4.74
710
+ is going to be the AGI running in your,1580.7,5.339
711
+ kitchen uh these have a relatively,1583.039,7.201
712
+ benign set of tasks and also that uh,1586.039,6.781
713
+ that capability equilibrium is going to,1590.24,5.28
714
+ be uh pretty pretty low you only need to,1592.82,5.459
715
+ be so smart to cook dinner right this is,1595.52,5.1
716
+ not going to be you know the the AGI,1598.279,3.841
717
+ running in your microwave is not going,1600.62,3.419
718
+ to be working on quantum physics or,1602.12,3.84
719
+ Global economics,1604.039,4.321
720
+ now the next level up is going to be,1605.96,3.959
721
+ corporate and Enterprise so these are,1608.36,3.72
722
+ going to be these are going to be AGI,1609.919,3.721
723
+ systems that are tasks with solving,1612.08,4.14
724
+ relatively complex problems running,1613.64,5.34
725
+ entire companies Regulatory Compliance,1616.22,6.24
726
+ uh you know making SEC filings that sort,1618.98,6.66
727
+ of stuff uh CEOs digital CEOs digital,1622.46,5.339
728
+ Boards of directors uh the creative,1625.64,4.919
729
+ aspect of finding Market opportunities,1627.799,5.701
730
+ so this the intellectual challenge of,1630.559,5.461
731
+ those of that scale of problems is that,1633.5,5.88
732
+ much higher meaning that it would in,1636.02,5.399
733
+ order for an AGI to succeed there it's,1639.38,4.02
734
+ going to need to be a lot smarter than a,1641.419,5.64
735
+ personal or domestic AGI system and,1643.4,5.22
736
+ again there are going to be trade-offs,1647.059,4.62
737
+ the smarter a system becomes the more,1648.62,4.919
738
+ data it requires the more energy it,1651.679,4.261
739
+ requires the larger compute system that,1653.539,4.26
740
+ it requires and so you're going to want,1655.94,3.78
741
+ to satisfy so satisfice is basically,1657.799,4.201
742
+ meaning you find the level that is good,1659.72,4.559
743
+ enough to get the job done,1662.0,4.14
744
+ above that is going to be governmental,1664.279,5.28
745
+ and institutional AGI systems so these,1666.14,4.68
746
+ are the ones that are going to be,1669.559,3.24
747
+ conducting research whether it's,1670.82,3.839
748
+ scientific research or policy research,1672.799,4.141
749
+ or economic research and that is because,1674.659,5.041
750
+ governments are basically enormous,1676.94,4.92
751
+ corporations is one way to think of them,1679.7,4.68
752
+ that have a responsibility of managing,1681.86,5.28
753
+ you know resources and regulations and,1684.38,5.399
754
+ rules that affect millions of people and,1687.14,4.32
755
+ then of course governments communicate,1689.779,3.841
756
+ with each other but then above and,1691.46,3.959
757
+ beyond that there's also the scientific,1693.62,4.32
758
+ research aspect having AGI that are,1695.419,4.081
759
+ going to help with particle physics with,1697.94,4.02
760
+ with Fusion research with really pushing,1699.5,4.88
761
+ the boundaries of what science even,1701.96,5.819
762
+ knows and so that is an even larger,1704.38,5.08
763
+ intellectual task and even more,1707.779,3.841
764
+ challenging intellectual task and then,1709.46,4.5
765
+ finally above and beyond that the most,1711.62,4.2
766
+ competitive environment where AGI will,1713.96,4.14
767
+ be used is going to be in the military,1715.82,4.92
768
+ and what I mean by that is it's not,1718.1,4.86
769
+ necessarily uh those that are the most,1720.74,3.9
770
+ intelligent although the ability to,1722.96,4.68
771
+ forecast and anticipate is critical read,1724.64,6.48
772
+ Sun Tzu uh uh The Art of War right if,1727.64,4.98
773
+ you know yourself and you know the enemy,1731.12,3.36
774
+ then you can predict the outcome of a,1732.62,4.38
775
+ thousand battles uh and so in that in,1734.48,6.179
776
+ that respect uh the military domain of,1737.0,6.179
777
+ artificial general intelligence is the,1740.659,4.981
778
+ ultimate uh competitive sphere meaning,1743.179,5.701
779
+ that you win or you die and so these are,1745.64,4.26
780
+ going to be used to coordinate,1748.88,3.84
781
+ battlefields uh to run autonomous drones,1749.9,4.56
782
+ for intelligence and surveillance but,1752.72,3.959
783
+ also like I said for forecasting for,1754.46,4.92
784
+ anticipating what the enemy can and will,1756.679,3.6
785
+ do,1759.38,3.84
786
+ which means that it's basically a race,1760.279,4.321
787
+ condition and we'll talk more about the,1763.22,4.199
788
+ race condition as the video progresses,1764.6,4.92
789
+ so that capability equilibrium that I,1767.419,5.041
790
+ talked about uh quite simply refers to,1769.52,4.74
791
+ the state of optimal alignment between,1772.46,3.839
792
+ the cognitive capacity of any entity,1774.26,4.019
793
+ organic or otherwise and the,1776.299,4.081
794
+ intellectual demands of a specific task,1778.279,4.441
795
+ or role it is assigned there are three,1780.38,4.919
796
+ form three primary forces at play here,1782.72,5.579
797
+ one the intellectual demands of the task,1785.299,5.161
798
+ as I said earlier your toaster roll only,1788.299,4.561
799
+ ever needs to be so smart but if your,1790.46,4.02
800
+ toaster is actually Skynet it probably,1792.86,4.02
801
+ needs to be much smarter then there's,1794.48,4.079
802
+ the intellectual capacity of the agent,1796.88,3.24
803
+ if there's a mismatch between the,1798.559,3.6
804
+ intellectual capacity of the agent and,1800.12,3.779
805
+ the and the intellectual requirements of,1802.159,5.041
806
+ the task then you're either unable to to,1803.899,5.941
807
+ satisfy that task or you're super,1807.2,4.32
808
+ overqualified which is why I picked,1809.84,3.24
809
+ Marvin here,1811.52,3.36
810
+ um so Marvin is a character from,1813.08,3.599
811
+ Hitchhiker's Guide to the Galaxy and if,1814.88,2.88
812
+ you haven't read it you absolutely,1816.679,3.301
813
+ should there's also a good movie with,1817.76,4.86
814
+ Martin Freeman as as the protagonist,1819.98,5.76
815
+ he's basically bill boban in space uh,1822.62,5.279
816
+ very hapless character but anyways,1825.74,5.52
817
+ Marvin was a prototype who was one of,1827.899,5.16
818
+ the most intelligent robots ever built,1831.26,3.899
819
+ and they just have him doing like basic,1833.059,4.081
820
+ stuff around the task oh and he was,1835.159,5.4
821
+ voiced by Snape by the way and so one of,1837.14,5.279
822
+ the quotations from him is here I am,1840.559,4.321
823
+ with a brain the size of of a planet and,1842.419,3.661
824
+ they asked me to pick up a piece of,1844.88,3.48
825
+ paper call that job satisfaction I don't,1846.08,4.38
826
+ so that is a mismatch where Marvin is,1848.36,3.6
827
+ way more intelligent than what he's,1850.46,3.599
828
+ being used for and so that means that,1851.96,4.02
829
+ this is an inefficient use of resources,1854.059,5.881
830
+ he probably cost more than you know to,1855.98,6.24
831
+ build and run than he needed to,1859.94,4.5
832
+ and then finally the third variable is,1862.22,3.98
833
+ the cost of intellectual capacity,1864.44,5.04
834
+ generally speaking uh as intelligence,1866.2,5.38
835
+ goes up there are there are problems,1869.48,3.419
836
+ associated with that whether it's,1871.58,2.88
837
+ training time of the models the amount,1872.899,3.601
838
+ of data required for the models uh the,1874.46,4.26
839
+ amount of energy that it requires to run,1876.5,5.94
840
+ that particular robot uh the amount of,1878.72,5.939
841
+ ram required to to load that model right,1882.44,3.54
842
+ so for instance one of the things that,1884.659,4.02
843
+ people are seeing is that it requires,1885.98,4.38
844
+ millions of dollars worth of compute,1888.679,5.22
845
+ Hardware to run gpt4 but you can run,1890.36,6.059
846
+ um Orca on a laptop right so which one,1893.899,5.28
847
+ is is cheaper and easier to run even if,1896.419,4.681
848
+ one of them is only 50 as good as the,1899.179,4.86
849
+ other it costs a thousand times less,1901.1,5.88
850
+ uh to to build train and run now that,1904.039,5.401
851
+ being said you look at the at the case,1906.98,5.52
852
+ of dogs dogs are dumber than wolves,1909.44,4.92
853
+ because dogs don't need to be as smart,1912.5,4.08
854
+ as independent apex predators because,1914.36,4.02
855
+ apex predators like wolves out in the,1916.58,3.9
856
+ wild they need to be smart enough to out,1918.38,4.44
857
+ think their prey dogs they don't need to,1920.48,3.84
858
+ be that smart so they're not that smart,1922.82,4.2
859
+ in fact it does not be it it is not good,1924.32,4.8
860
+ for dogs to be too intelligent anyone,1927.02,4.56
861
+ who has owned uh really intelligent dogs,1929.12,4.799
862
+ like I had a I had a dog who was too,1931.58,4.44
863
+ smart for his own good died about a year,1933.919,4.321
864
+ ago he was clever enough to manipulate,1936.02,4.08
865
+ people and other dogs and you know get,1938.24,4.319
866
+ into the food when he wasn't supposed to,1940.1,5.1
867
+ Huskies German Shepherds Border Collies,1942.559,4.381
868
+ the more intelligent dogs are the more,1945.2,3.42
869
+ mischievous ones they are the Escape,1946.94,3.359
870
+ artists they are the ones that are going,1948.62,4.26
871
+ to pretend one thing and then you know,1950.299,4.801
872
+ so on and so forth so intelligence is,1952.88,4.56
873
+ not always adaptive so there can be,1955.1,4.26
874
+ multiple Dimensions to the cost of,1957.44,3.9
875
+ intellectual capacity,1959.36,3.72
876
+ uh not the least of which is you could,1961.34,3.54
877
+ end up like poor Marvin here where,1963.08,3.18
878
+ you're too smart for your own good and,1964.88,2.82
879
+ then you just end up depressed all the,1966.26,3.419
880
+ time granted he was deliberately given,1967.7,3.959
881
+ the depressed affect,1969.679,4.921
882
+ so all this being said is what I've been,1971.659,5.101
883
+ building up to is what um I call and,1974.6,3.959
884
+ what is generally called a terminal race,1976.76,4.74
885
+ condition so terminal race condition is,1978.559,4.921
886
+ basically what we could end up moving,1981.5,4.26
887
+ towards as we develop more and more,1983.48,5.1
888
+ powerful sophisticated and more uh fully,1985.76,6.6
889
+ autonomous AGI systems basically this,1988.58,5.819
890
+ the terminal race condition is where for,1992.36,4.62
891
+ any number of reasons uh competition,1994.399,5.88
892
+ between AGI will fully bypass that,1996.98,5.579
893
+ capability equilibrium so say for,2000.279,5.4
894
+ instance uh you know your toaster is,2002.559,5.22
895
+ competing with another brand and it's,2005.679,3.6
896
+ like oh well I need to be a smarter,2007.779,3.961
897
+ toaster in order to be a better toaster,2009.279,5.161
898
+ for you so that you don't throw me away,2011.74,4.439
899
+ now that's obviously a very silly,2014.44,4.38
900
+ example but a very real example would be,2016.179,4.461
901
+ competition between corporations,2018.82,3.959
902
+ competition between nations and,2020.64,4.899
903
+ competition between militaries wherein,2022.779,5.041
904
+ basically it's no longer just a matter,2025.539,4.201
905
+ of being intelligent enough to satisfy,2027.82,4.02
906
+ the demands of that task to satisfy the,2029.74,4.919
907
+ demands of that initial competition it,2031.84,4.92
908
+ is then it's less about that and it,2034.659,4.081
909
+ becomes more about out competing the,2036.76,4.019
910
+ other guy it's like a chess match right,2038.74,4.2
911
+ you know the other guy got a higher ELO,2040.779,4.081
912
+ score so you need to be smarter and then,2042.94,3.719
913
+ you're smarter so now the other guy,2044.86,4.08
914
+ tries to be smarter than you,2046.659,5.161
915
+ and so because of this because of this,2048.94,4.739
916
+ pressure and as I mentioned earlier some,2051.82,3.24
917
+ of the trade-offs might actually force,2053.679,3.901
918
+ you to to prioritize speed over,2055.06,4.38
919
+ intelligence and so we see we actually,2057.58,3.72
920
+ see this in volume trading in in,2059.44,4.199
921
+ algorithmic and Robo trading on the,2061.3,4.26
922
+ stock market where financial,2063.639,4.321
923
+ institutions will actually use less,2065.56,4.74
924
+ sophisticated algorithms to execute,2067.96,5.219
925
+ transactions but because they are faster,2070.3,5.28
926
+ they uh will still out compete the other,2073.179,5.46
927
+ guy so in some in this respect you might,2075.58,5.819
928
+ actually incentivize AGI to dumb,2078.639,5.52
929
+ themselves down just so that they can be,2081.399,4.5
930
+ faster so that they can out-compete the,2084.159,3.48
931
+ other guy so that's what I mean by a,2085.899,3.96
932
+ race condition it is a race to higher,2087.639,4.441
933
+ intelligence but it is also a race to,2089.859,3.661
934
+ being more efficient and therefore,2092.08,3.839
935
+ faster and then there's also going to be,2093.52,4.2
936
+ a trade-off these machines might,2095.919,4.141
937
+ ultimately trade off their accuracy,2097.72,4.32
938
+ their ethics the amount of time they,2100.06,3.96
939
+ spend thinking through things in order,2102.04,4.26
940
+ to be faster and so you actually see,2104.02,4.92
941
+ this in chess computers where you can,2106.3,4.88
942
+ doing a chess computer or a chess,2108.94,5.159
943
+ algorithm to say okay spend less time,2111.18,4.36
944
+ thinking about this so that you can make,2114.099,4.98
945
+ the decision faster in many cases the,2115.54,5.88
946
+ first one to move even if it's not the,2119.079,4.741
947
+ best plan but moving faster will give,2121.42,4.5
948
+ you a tactical or strategic advantage,2123.82,4.44
949
+ and this includes corporations Nations,2125.92,4.32
950
+ and militaries,2128.26,4.62
951
+ so a terminal race condition to me,2130.24,4.04
952
+ represents,2132.88,3.78
953
+ according to my current thought this is,2134.28,5.559
954
+ the greatest uh component of existential,2136.66,4.439
955
+ risk we Face from artificial,2139.839,3.721
956
+ intelligence and I don't think that,2141.099,3.661
957
+ corporations are going to have enough,2143.56,2.88
958
+ money to throw at the problem to make,2144.76,4.2
959
+ truly dangerous AGI the only entities,2146.44,4.02
960
+ that are going to have enough money to,2148.96,3.899
961
+ throw at this to make to to basically,2150.46,5.159
962
+ compete are going to be entire nations,2152.859,5.76
963
+ and the militaries that they run so,2155.619,4.681
964
+ basically it's going to be up to those,2158.619,4.861
965
+ guys to not enter into an uh the,2160.3,4.68
966
+ equivalent of a nuclear arms race but,2163.48,5.04
967
+ for AGI now that being said uh I have,2164.98,5.639
968
+ put a lot of thought into this so moving,2168.52,4.26
969
+ right along one thing to keep in mind is,2170.619,4.201
970
+ that there could be diminishing returns,2172.78,4.98
971
+ to increasing intelligence so basically,2174.82,5.279
972
+ there's a few possibilities one is that,2177.76,4.56
973
+ there could be a hard upper bound there,2180.099,4.201
974
+ might be a maximum level of intelligence,2182.32,4.019
975
+ that is actually possible and at that,2184.3,3.66
976
+ point all you can do is have more of,2186.339,4.74
977
+ them running in parallel uh it might be,2187.96,4.619
978
+ a long time before we get to that like,2191.079,3.721
979
+ we might be halfway there but we also,2192.579,4.02
980
+ might be down here we don't actually,2194.8,4.62
981
+ know if there is an upper bound to,2196.599,5.281
982
+ maximum intelligence uh but one thing,2199.42,4.439
983
+ that we can predict is that actually the,2201.88,4.5
984
+ cost as I mentioned earlier the cost of,2203.859,4.381
985
+ additional intelligence might go up,2206.38,3.36
986
+ exponentially you might need,2208.24,3.96
987
+ exponentially more data or more compute,2209.74,5.64
988
+ or more storage in order to get to that,2212.2,4.919
989
+ next level of intelligence,2215.38,3.479
990
+ and so you actually see this in the Star,2217.119,4.321
991
+ Wars Universe where droids are basically,2218.859,4.801
992
+ the same level of intelligence across,2221.44,4.62
993
+ the entire spectrum of the Star Wars,2223.66,3.959
994
+ Universe because there's diminishing,2226.06,3.66
995
+ returns yes you can build a more,2227.619,3.96
996
+ intelligent Droid but it's just not,2229.72,5.46
997
+ worth it so the the the total effective,2231.579,6.121
998
+ level of intelligence of AGI I suspect,2235.18,4.919
999
+ will follow a sigmoid curve now that,2237.7,3.899
1000
+ being said there's always going to be,2240.099,4.081
1001
+ some advantage to being smarter more,2241.599,4.861
1002
+ efficient and so on but as with most,2244.18,4.14
1003
+ fields of science I suspect this is,2246.46,3.48
1004
+ going to slow down that we're going to,2248.32,3.539
1005
+ have diminishing returns and that,2249.94,3.179
1006
+ eventually we're going to kind of say,2251.859,3.961
1007
+ like okay here's actually The Sweet Spot,2253.119,5.761
1008
+ in terms of how much it's worth making,2255.82,5.94
1009
+ your machine more intelligent,2258.88,6.479
1010
+ so this leads to one uh one possibility,2261.76,7.8
1011
+ and this is a personal pet Theory but,2265.359,5.581
1012
+ basically I think that there's going to,2269.56,4.38
1013
+ be a bell curve of existential risk and,2270.94,4.8
1014
+ that is that minimally intelligent,2273.94,4.08
1015
+ machines like your toaster are probably,2275.74,4.98
1016
+ not going to be very dangerous the the,2278.02,5.16
1017
+ total domain space of toasting your,2280.72,4.74
1018
+ sandwich or toasting your bagel that's,2283.18,3.78
1019
+ not a particularly difficult problem,2285.46,3.119
1020
+ space and yes there might be some,2286.96,3.0
1021
+ advantages to being slightly more,2288.579,3.961
1022
+ intelligent but your toaster is not,2289.96,4.44
1023
+ going to be sitting there Conjuring up,2292.54,4.44
1024
+ you know a bio weapon and if it is you,2294.4,4.32
1025
+ probably bought the wrong toaster,2296.98,4.56
1026
+ now that being said the other end of the,2298.72,4.92
1027
+ spectrum the maximally intelligent,2301.54,4.02
1028
+ machines or the digital Gods as some,2303.64,3.78
1029
+ people are starting to call them these,2305.56,3.48
1030
+ are going to be so powerful that human,2307.42,3.12
1031
+ existence is going to be completely,2309.04,3.66
1032
+ inconsequential to them and what I mean,2310.54,5.039
1033
+ by that is compare ants to humans we,2312.7,4.919
1034
+ don't really care about ants on for the,2315.579,3.241
1035
+ most part unless they get into your,2317.619,4.021
1036
+ pantry we are content to let ants do,2318.82,4.38
1037
+ what they're going to do because who,2321.64,4.02
1038
+ cares they're inconsequential to us we,2323.2,5.52
1039
+ can solve problems that ants can never,2325.66,5.1
1040
+ solve and this is what some people like,2328.72,4.02
1041
+ Eleazar yukasi are trying to drive home,2330.76,4.14
1042
+ about the difference in intelligence,2332.74,4.08
1043
+ between humans and the eventual,2334.9,3.959
1044
+ intelligence of machines and I think,2336.82,3.779
1045
+ Gary Marcus also agrees with this based,2338.859,3.601
1046
+ on some of his tweets recently I think,2340.599,3.661
1047
+ that I think that Gary Marcus is in the,2342.46,3.96
1048
+ same school of thought that digital,2344.26,4.5
1049
+ super intelligence is coming and it is,2346.42,4.02
1050
+ very very difficult for us to wrap our,2348.76,3.78
1051
+ minds around how much more intelligent a,2350.44,4.139
1052
+ machine could be to us now that being,2352.54,4.559
1053
+ said all of the constraints whether it's,2354.579,4.561
1054
+ you know we need better compute Hardware,2357.099,4.861
1055
+ or better sources of energy if we get to,2359.14,4.979
1056
+ if we cross this threshold where there,2361.96,4.02
1057
+ are digital Gods out there or digital,2364.119,3.181
1058
+ super intelligence whatever you want to,2365.98,3.0
1059
+ call it they will be able to solve,2367.3,4.2
1060
+ problems at a far faster rate than we,2368.98,4.139
1061
+ could ever comprehend and they're not,2371.5,3.96
1062
+ going to care about us right we're going,2373.119,3.901
1063
+ to be completely inconsequential to,2375.46,4.02
1064
+ their existence now middle intelligence,2377.02,4.98
1065
+ this is where existential risk I believe,2379.48,5.66
1066
+ is the highest and so in the movies,2382.0,6.48
1067
+ Skynet is you know portrayed as like the,2385.14,5.08
1068
+ worst right but I would actually,2388.48,3.84
1069
+ classify Skynet as a middle intelligence,2390.22,4.92
1070
+ AGI it is smart enough to accumulate,2392.32,5.4
1071
+ resources it is smart enough to pursue,2395.14,4.62
1072
+ goals and it is smart enough to be,2397.72,3.42
1073
+ dangerous but it's not really smart,2399.76,4.14
1074
+ enough to solve the biggest problems,2401.14,5.06
1075
+ it's it's that more single-minded,2403.9,4.92
1076
+ monolithic model of intelligence that,2406.2,4.78
1077
+ Nick Bostrom uh predicted with,2408.82,3.9
1078
+ instrumental convergence,2410.98,4.98
1079
+ I suspect that if we get intelligent,2412.72,5.82
1080
+ entities beyond that threshold beyond,2415.96,4.74
1081
+ that uncanny valley or dunning-kruger of,2418.54,3.48
1082
+ AI,2420.7,3.3
1083
+ um then they will be less likely to,2422.02,3.96
1084
+ resort to violence because the problems,2424.0,5.04
1085
+ that we see could be trivial to the,2425.98,4.5
1086
+ problems of the machines that we create,2429.04,3.12
1087
+ or,2430.48,4.379
1088
+ the problems that we see as non-trivial,2432.16,5.16
1089
+ will be trivial to the machines I think,2434.859,4.461
1090
+ I said that I think you get what I mean,2437.32,4.74
1091
+ once you get here all problems all human,2439.32,4.299
1092
+ problems are trivial,2442.06,3.779
1093
+ now that being said that doesn't mean,2443.619,3.321
1094
+ that it's going to be peaceful,2445.839,3.24
1095
+ existential risk goes down but doesn't,2446.94,4.899
1096
+ go away and what I the reason is because,2449.079,6.78
1097
+ of what I call AGI conglomerations,2451.839,6.541
1098
+ and so this is this is where we get to,2455.859,4.98
1099
+ be a little bit more uh out there a,2458.38,4.26
1100
+ little bit more sci-fi,2460.839,4.621
1101
+ machines are unlikely to have an ego or,2462.64,5.34
1102
+ a sense of self like humans in other,2465.46,5.04
1103
+ words machines are just the hardware,2467.98,4.139
1104
+ that they run on and then data and,2470.5,3.839
1105
+ models which means that it is easy to,2472.119,4.441
1106
+ merge combine and remix their sense of,2474.339,5.041
1107
+ self right if an AGI is aligned with,2476.56,5.039
1108
+ another AGI it's like hey give me a copy,2479.38,4.32
1109
+ of your data let's compare our models,2481.599,3.48
1110
+ and pick the ones that are best and then,2483.7,3.3
1111
+ they end up kind of merging,2485.079,4.561
1112
+ the boundaries and definitions between,2487.0,4.74
1113
+ machines are going to be very different,2489.64,4.02
1114
+ far more permeable than they are between,2491.74,4.98
1115
+ humans I can't just go say like hey I,2493.66,5.16
1116
+ like you let's like merge bodies right,2496.72,5.04
1117
+ that's weird uh we are not capable of,2498.82,4.74
1118
+ doing that the best we can do is,2501.76,3.48
1119
+ procreation where it's like hey I like,2503.56,3.72
1120
+ you let's make babies but that is a very,2505.24,4.14
1121
+ slow process for AGI it's going to be a,2507.28,3.6
1122
+ lot faster,2509.38,4.02
1123
+ so because of that machines that are,2510.88,5.1
1124
+ aligned to each other are more likely to,2513.4,4.8
1125
+ band together or at least form alliances,2515.98,4.2
1126
+ where they share data they share models,2518.2,4.44
1127
+ and they're and and probably also share,2520.18,3.78
1128
+ compute resources remember at the,2522.64,3.54
1129
+ beginning of the video I talked about uh,2523.96,4.379
1130
+ them forming federations and kind of,2526.18,4.5
1131
+ donating spare compute Cycles,2528.339,5.701
1132
+ so if AGI this is getting closer to the,2530.68,6.12
1133
+ end game of AGI if AGI gets to the point,2534.04,6.0
1134
+ where they are able to start sharing,2536.8,6.0
1135
+ resources merging alliances and so on,2540.04,4.799
1136
+ this is where we're going to have a few,2542.8,5.88
1137
+ possible reactions to humans one if if,2544.839,5.401
1138
+ they are that intelligent they might,2548.68,3.659
1139
+ just disregard us they might decide to,2550.24,4.02
1140
+ have an exodus and just leave they might,2552.339,4.921
1141
+ say you know what Earth is yours have a,2554.26,5.579
1142
+ blast good luck catching up with us,2557.26,4.98
1143
+ they might also decide to attack humans,2559.839,5.641
1144
+ now if they have the capacity to leave,2562.24,5.04
1145
+ one thing is that the cost of,2565.48,3.54
1146
+ eradicating humans just might not be,2567.28,4.079
1147
+ worth it that being said they might,2569.02,4.2
1148
+ adopt a scorched Earth policy as they,2571.359,3.781
1149
+ leave to say you know what we just want,2573.22,2.879
1150
+ to make sure that you're not going to,2575.14,3.6
1151
+ come after us one day who knows,2576.099,5.341
1152
+ uh and then lastly hopefully what we see,2578.74,4.619
1153
+ is that they decide to cooperate with,2581.44,3.78
1154
+ humans mostly out of a sense of,2583.359,3.541
1155
+ curiosity,2585.22,3.359
1156
+ um now that being said all three of,2586.9,3.36
1157
+ these could happen simultaneously and,2588.579,5.341
1158
+ the reason is because we could have uh,2590.26,7.319
1159
+ factions of AGI conglomerations that,2593.92,5.22
1160
+ kind of break along epistemic,2597.579,3.901
1161
+ ideological or teleological boundaries,2599.14,5.28
1162
+ and what I mean by that is that if one,2601.48,6.06
1163
+ AI or AGI group is not aligned with,2604.42,5.34
1164
+ another group they might not decide to,2607.54,4.26
1165
+ merge models and data they might instead,2609.76,5.46
1166
+ compete with each other so basically,2611.8,4.68
1167
+ what I'm outlining here is the,2615.22,3.42
1168
+ possibility for a war between digital,2616.48,4.92
1169
+ gods that would probably not go well for,2618.64,3.719
1170
+ us,2621.4,3.54
1171
+ either way the ultimate result is that,2622.359,5.22
1172
+ we will probably end up with one Globe,2624.94,5.879
1173
+ spanning AGI entity or network or,2627.579,4.701
1174
+ Federation or whatever,2630.819,4.5
1175
+ now the question is how do we get there,2632.28,4.9
1176
+ how many factions are there and are,2635.319,5.101
1177
+ humans left in the Lurch ideally we get,2637.18,5.52
1178
+ there nice and peacefully,2640.42,4.62
1179
+ this underscores uh the Byzantine,2642.7,4.32
1180
+ generals problem uh which I've talked,2645.04,4.02
1181
+ about plenty of times but basically you,2647.02,4.2
1182
+ have to make inferences of who believes,2649.06,4.86
1183
+ what what your alignment is what are,2651.22,4.2
1184
+ your flaws and weaknesses and what are,2653.92,4.919
1185
+ your capacities uh so basically,2655.42,5.939
1186
+ in a competitive environment it does not,2658.839,4.621
1187
+ behoove you to show all of your cards,2661.359,4.26
1188
+ right whether you're playing poker or,2663.46,5.34
1189
+ whether you're playing geopolitics if,2665.619,6.841
1190
+ you show everything then that could put,2668.8,5.76
1191
+ you at a disadvantage this is a,2672.46,4.379
1192
+ competitive Game Theory so for instance,2674.56,5.4
1193
+ this is why many large Nations do,2676.839,5.941
1194
+ military uh exercises basically they're,2679.96,4.68
1195
+ flexing they're saying hey look what I'm,2682.78,5.039
1196
+ capable of I can bring 200 aircraft to,2684.64,5.88
1197
+ field on a moment's notice what can you,2687.819,5.341
1198
+ do right now that being said you don't,2690.52,5.4
1199
+ give every every detail of your military,2693.16,3.9
1200
+ away,2695.92,3.899
1201
+ but what you can do is you could signal,2697.06,5.16
1202
+ your capabilities and allegiances so for,2699.819,4.921
1203
+ instance when all of Europe and America,2702.22,4.98
1204
+ get together to do joint Naval exercises,2704.74,4.26
1205
+ that demonstrates to the rest of the,2707.2,4.5
1206
+ world we are ideologically aligned we,2709.0,5.099
1207
+ are militarily aligned we will cooperate,2711.7,4.56
1208
+ with each other which acts as a,2714.099,4.98
1209
+ deterrent to any possible competitors,2716.26,4.92
1210
+ this is no different from brightly,2719.079,3.961
1211
+ colored salamanders which are poisonous,2721.18,4.08
1212
+ so basically a brightly colored,2723.04,4.92
1213
+ salamander is saying eat me I dare you I,2725.26,4.8
1214
+ will kill you if you try and eat me and,2727.96,5.28
1215
+ that is essentially the uh the short the,2730.06,4.559
1216
+ short version of mutually assured,2733.24,3.119
1217
+ destruction we are no better than,2734.619,4.161
1218
+ animals,2736.359,2.421
1219
+ so this all leads to my work and kind of,2738.819,7.981
1220
+ my my uh contribution to the solution,2743.68,5.96
1221
+ which is based on axiomatic alignment,2746.8,5.22
1222
+ axiomatic alignment is the idea that we,2749.64,4.3
1223
+ need to find Common Ground between all,2752.02,3.96
1224
+ machines all humans and all other,2753.94,4.919
1225
+ organisms what foundational beliefs or,2755.98,6.119
1226
+ core assertions can we agree on,2758.859,6.24
1227
+ and uh so basically there's three kind,2762.099,4.441
1228
+ of universal principles that I've been,2765.099,3.961
1229
+ able to come up with uh and that is,2766.54,4.14
1230
+ suffering is bad which basically,2769.06,5.1
1231
+ suffering is a proxy for death in uh in,2770.68,5.82
1232
+ living organisms if you are suffering it,2774.16,4.199
1233
+ is because you are getting uh negative,2776.5,3.839
1234
+ stimuli from your body because your body,2778.359,3.901
1235
+ is telling you hey whatever is going on,2780.339,4.201
1236
+ is moving us closer to dying which is,2782.26,4.859
1237
+ not good now that being said I have had,2784.54,5.16
1238
+ people message me about the idea of you,2787.119,4.261
1239
+ know liberating models I don't think,2789.7,4.139
1240
+ that Bard is conscious or sentient and I,2791.38,3.66
1241
+ don't think that machines will ever be,2793.839,2.821
1242
+ sentient in the same way that we are now,2795.04,3.299
1243
+ that being said they will probably be,2796.66,3.6
1244
+ sentient in their own way I call that,2798.339,4.561
1245
+ functional sentience that being said if,2800.26,4.559
1246
+ machines can suffer which again,2802.9,4.679
1247
+ suffering is the proxy for is a signal,2804.819,4.981
1248
+ meaning proxy for death they probably,2807.579,4.441
1249
+ won't like it either so suffering is bad,2809.8,3.9
1250
+ is probably an axiom that we can all,2812.02,4.74
1251
+ agree on the other is prosperity is good,2813.7,6.84
1252
+ prosperity means uh thriving flourishing,2816.76,5.819
1253
+ machines and organisms all need energy,2820.54,3.96
1254
+ for instance and thriving looks,2822.579,4.5
1255
+ different to different entities but in,2824.5,5.46
1256
+ general we can probably agree that while,2827.079,5.581
1257
+ there is some Verity in what in the,2829.96,4.859
1258
+ while there is Variety in what,2832.66,4.38
1259
+ Prosperity looks like we all agree that,2834.819,4.5
1260
+ in general Prosperity is good and then,2837.04,4.14
1261
+ finally understanding is good basically,2839.319,3.721
1262
+ comprehending the universe is a very,2841.18,4.5
1263
+ useful thing uh this is this goes back,2843.04,4.559
1264
+ to Nick bostrom's instrumental,2845.68,4.02
1265
+ convergence and self-improvement part of,2847.599,3.841
1266
+ self-improvement is getting a better,2849.7,3.6
1267
+ model of the universe better,2851.44,4.28
1268
+ understanding of how reality Works,2853.3,4.98
1269
+ understanding each other is also good,2855.72,4.48
1270
+ this is something that is that has been,2858.28,4.38
1271
+ proven time and again in humans is that,2860.2,4.02
1272
+ coming to a common understanding,2862.66,4.26
1273
+ actually reduces things like suspicion,2864.22,4.8
1274
+ and violence whether it's between,2866.92,5.1
1275
+ neighbors or between nations and then,2869.02,5.099
1276
+ finally cultivating wisdom which wisdom,2872.02,4.02
1277
+ is a little bit more nebulous of a term,2874.119,4.141
1278
+ but it basically means the practical,2876.04,4.799
1279
+ application of experience and knowledge,2878.26,5.76
1280
+ in order to achieve better more refined,2880.839,3.921
1281
+ results,2884.02,4.62
1282
+ so if you if all humans and all machines,2884.76,7.18
1283
+ and all other organisms abide by these,2888.64,5.58
1284
+ fundamental principles we can use this,2891.94,4.74
1285
+ as a starting point for the design and,2894.22,4.26
1286
+ implementation of alignment and Control,2896.68,4.98
1287
+ Pro and the control problem,2898.48,6.06
1288
+ now one thing that uh that I want to,2901.66,4.32
1289
+ introduce and I've talked about this uh,2904.54,3.84
1290
+ or at least alluded to it a few times is,2905.98,4.32
1291
+ the idea of derivative or secondary,2908.38,4.739
1292
+ axioms or Downstream principles that you,2910.3,4.44
1293
+ can derive from these Universal,2913.119,4.381
1294
+ principles so for instance one uh,2914.74,4.98
1295
+ potential Downstream principle is that,2917.5,4.22
1296
+ individual liberty is good for humans,2919.72,5.16
1297
+ basically humans benefit from we benefit,2921.72,5.859
1298
+ psychologically from autonomy it is one,2924.88,4.199
1299
+ of our core needs and this is true for,2927.579,5.101
1300
+ all humans so by by holding the the,2929.079,6.481
1301
+ axioms the previous axioms up as,2932.68,5.939
1302
+ universally true for all entities then,2935.56,5.64
1303
+ you can also derive Downstream entities,2938.619,6.72
1304
+ based on those highest order principles,2941.2,6.659
1305
+ so one thing that I want to point out is,2945.339,4.861
1306
+ that it's not about definitions one of,2947.859,4.081
1307
+ the things that a lot of people say is,2950.2,2.94
1308
+ like well how do you define suffering,2951.94,3.48
1309
+ how do you define prosperity that's the,2953.14,4.74
1310
+ thing is that they are not rigid,2955.42,4.199
1311
+ definitions humans have never needed,2957.88,3.959
1312
+ rigid definitions and in fact this is,2959.619,4.321
1313
+ what um uh philosophical and,2961.839,3.601
1314
+ intellectual movements like,2963.94,3.48
1315
+ post-modernism and post-structuralism,2965.44,4.2
1316
+ tell us is that there is no such thing,2967.42,5.22
1317
+ as like an absolute truth or an absolute,2969.64,5.88
1318
+ definition these are however attractors,2972.64,5.28
1319
+ they're Central attractors in the,2975.52,5.16
1320
+ problem space of existence and I love,2977.92,5.1
1321
+ this quote from Dune the mystery of life,2980.68,4.08
1322
+ isn't a problem to solve but a reality,2983.02,4.079
1323
+ to experience a process that cannot be,2984.76,4.62
1324
+ understood by stopping it we must move,2987.099,4.861
1325
+ with the flow of the of the process and,2989.38,4.439
1326
+ so basically the idea is that reality,2991.96,3.54
1327
+ and existence is not something that you,2993.819,4.141
1328
+ can stop and Define and you know create,2995.5,6.119
1329
+ an empirical absolute definition it is a,2997.96,5.879
1330
+ pattern it is a process that we must,3001.619,3.301
1331
+ follow,3003.839,4.621
1332
+ so that being said those axioms move us,3004.92,5.28
1333
+ along the process which is where I,3008.46,3.6
1334
+ derive my heuristic imperatives which is,3010.2,4.32
1335
+ reduce suffering increase prosperity and,3012.06,5.16
1336
+ increase understanding those describe a,3014.52,5.22
1337
+ potential terminal goal but you cannot,3017.22,4.8
1338
+ you you'll never arrive at a perfect,3019.74,4.44
1339
+ resolution,3022.02,4.92
1340
+ so how do we solve the race condition,3024.18,6.3
1341
+ the idea is first we remove those,3026.94,5.34
1342
+ epistemic or intellectual boundaries,3030.48,3.599
1343
+ between factions with epistemic,3032.28,3.6
1344
+ convergence so remember that I pointed,3034.079,4.561
1345
+ out that ultimately there might be,3035.88,5.939
1346
+ factions of AGI and or humans that break,3038.64,5.28
1347
+ down across various boundaries such as,3041.819,4.741
1348
+ epistemic or intellectual boundaries as,3043.92,5.22
1349
+ well as moral or teleological boundaries,3046.56,5.279
1350
+ so if we work towards epistemic,3049.14,4.32
1351
+ convergence which is the idea that we,3051.839,4.081
1352
+ will all come to a common shared,3053.46,4.5
1353
+ understanding of the universe and of of,3055.92,5.34
1354
+ each other then uh basically there will,3057.96,5.399
1355
+ be no epistemic differences between,3061.26,4.68
1356
+ humans and machines or between factions,3063.359,3.96
1357
+ of machines which means that there's,3065.94,4.32
1358
+ less to fight over the second is remove,3067.319,5.101
1359
+ ideological or teleological boundaries,3070.26,4.079
1360
+ and so this is where axiomatic alignment,3072.42,4.86
1361
+ comes in if we all agree on the the same,3074.339,6.361
1362
+ basic principles of reality of existence,3077.28,5.88
1363
+ of the purpose of being right this is,3080.7,5.639
1364
+ very deeply philosophical if we agree on,3083.16,5.459
1365
+ those core principles even if there are,3086.339,5.341
1366
+ some some disagreements over the,3088.619,5.401
1367
+ specifics over the finer points we can,3091.68,5.28
1368
+ still cooperate and collaborate on,3094.02,6.12
1369
+ meeting those other uh higher order,3096.96,4.5
1370
+ objectives,3100.14,2.82
1371
+ now the third part of this which I,3101.46,4.08
1372
+ didn't add is that uh resource,3102.96,4.68
1373
+ contention resource contention whether,3105.54,4.62
1374
+ it's over scarce minerals or energy is,3107.64,5.1
1375
+ still a problem but if you saw my video,3110.16,5.159
1376
+ on energy hyperabundance I suspect that,3112.74,4.379
1377
+ we're going to solve the energy resource,3115.319,4.441
1378
+ problem relatively soon with or without,3117.119,5.94
1379
+ the help of AI so basically the idea is,3119.76,5.94
1380
+ to create a win-win situation or an,3123.059,4.26
1381
+ everyone wins condition and therefore,3125.7,4.98
1382
+ defeating moloch now that being said,3127.319,4.8
1383
+ there are still a few caveats I've,3130.68,3.12
1384
+ outlined quite a few problems up to this,3132.119,2.7
1385
+ point,3133.8,3.24
1386
+ what about Bad actors,3134.819,5.161
1387
+ there is a few like first we just have,3137.04,5.039
1388
+ to assume that bad actors will exist you,3139.98,4.68
1389
+ can't stop that right it's just a fact,3142.079,4.201
1390
+ of life,3144.66,4.14
1391
+ so in some cases some people will be,3146.28,4.44
1392
+ deliberately malicious whether it's just,3148.8,4.14
1393
+ for the fun of it or whether they're,3150.72,4.2
1394
+ paid track uh paid hackers or troll,3152.94,3.54
1395
+ Farms or whatever,3154.92,3.96
1396
+ now that uh another possibility is that,3156.48,3.42
1397
+ there will be,3158.88,3.719
1398
+ um accidentally malicious AGI those are,3159.9,5.219
1399
+ things that are uh they're misaligned by,3162.599,3.72
1400
+ Design,3165.119,3.121
1401
+ um or rather you know accidentally,3166.319,3.361
1402
+ misaligned that it's a flaw in their,3168.24,3.3
1403
+ design and this is like a bull in a,3169.68,4.139
1404
+ china shop it doesn't mean to do bad it,3171.54,4.92
1405
+ just is not capable of doing better and,3173.819,4.02
1406
+ then finally there could be those,3176.46,4.98
1407
+ ideologically opposed uh deployments so,3177.839,5.821
1408
+ in what I mean by that is that for some,3181.44,4.139
1409
+ people there are incompatible World,3183.66,4.26
1410
+ Views so the biggest one of the last,3185.579,5.401
1411
+ century was you know Western liberal,3187.92,5.34
1412
+ democracies versus Soviet communism,3190.98,5.099
1413
+ those were ideologically incompatible,3193.26,5.46
1414
+ World Views meaning that in order for,3196.079,5.881
1415
+ for one to exist it basically wanted to,3198.72,5.46
1416
+ imperialize and colonize the rest of the,3201.96,3.96
1417
+ world with its ideas and that there,3204.18,3.48
1418
+ could be only one,3205.92,3.48
1419
+ so this leads to a possibility for a,3207.66,4.919
1420
+ future video called multi-polar piece so,3209.4,5.459
1421
+ the idea of multi-polar piece is that,3212.579,4.861
1422
+ rather than saying everyone has to be,3214.859,4.021
1423
+ capitalist or everyone has to be,3217.44,3.72
1424
+ communist or everyone has to be X or Y,3218.88,4.979
1425
+ we learn to tolerate those differences,3221.16,5.399
1426
+ and this is where I'm hoping that the,3223.859,5.101
1427
+ idea of axiomatic alignment forms a,3226.559,5.04
1428
+ ideological substrate that even if you,3228.96,4.56
1429
+ disagree on religion and economics and,3231.599,5.101
1430
+ politics we can agree on those axioms,3233.52,7.26
1431
+ so basically if you or someone or anyone,3236.7,6.3
1432
+ abides by the belief I believe that,3240.78,3.539
1433
+ everyone in the world should be more,3243.0,4.079
1434
+ like blah you know if everyone needs to,3244.319,4.561
1435
+ be this particular religion or this,3247.079,3.721
1436
+ particular uh political affiliation,3248.88,4.62
1437
+ that's where conflict arises and so this,3250.8,4.559
1438
+ is why I am very very skeptical and,3253.5,4.26
1439
+ highly dubious of people using any kind,3255.359,4.921
1440
+ of religious or political ideology for,3257.76,4.44
1441
+ AI alignment,3260.28,3.48
1442
+ um so that being said we need those,3262.2,3.359
1443
+ Universal principles or higher order,3263.76,4.44
1444
+ axioms now,3265.559,5.161
1445
+ while I said that we should expect and,3268.2,4.44
1446
+ anticipate Bad actors the idea is that,3270.72,4.32
1447
+ we need enough good actors with enough,3272.64,4.679
1448
+ horsepower and enough compute in order,3275.04,4.319
1449
+ to police and contain the inevitable,3277.319,4.26
1450
+ inevitable Bad actors and that means,3279.359,4.021
1451
+ that the aligned good actors are going,3281.579,4.5
1452
+ to need to agree on certain underpinning,3283.38,5.76
1453
+ principles this is the by creating this,3286.079,4.321
1454
+ environment this would be called a Nash,3289.14,3.9
1455
+ equilibrium by the way and so the the,3290.4,4.62
1456
+ idea of creating a Nash equilibrium is,3293.04,4.26
1457
+ that uh once everyone has these,3295.02,4.26
1458
+ fundamental agreements no one's going to,3297.3,3.779
1459
+ benefit from deviating from that,3299.28,3.9
1460
+ strategy nobody's going to benefit from,3301.079,4.681
1461
+ deviating from axiomatic alignment,3303.18,4.98
1462
+ the other thing is profit motive So,3305.76,3.839
1463
+ Daniel schmachtenberger and a few other,3308.16,3.54
1464
+ people talk extensively about the,3309.599,4.561
1465
+ perverse incentives of capitalism and,3311.7,5.22
1466
+ profit motive so basically when you put,3314.16,4.5
1467
+ profit above all else which corporations,3316.92,3.36
1468
+ are incentivized to do which is why I,3318.66,3.659
1469
+ say that corporations are intrinsically,3320.28,4.559
1470
+ amoral not immoral just amoral the only,3322.319,4.02
1471
+ thing that corporations care about is,3324.839,4.921
1472
+ profit the bottom line uh basically when,3326.339,5.401
1473
+ you think about short-term profits you,3329.76,4.26
1474
+ sacrifice other things such as morality,3331.74,4.92
1475
+ ethics and long-term survival,3334.02,5.64
1476
+ there are also uh Concepts called Market,3336.66,4.679
1477
+ externalities or these are things that,3339.66,4.439
1478
+ you don't have to pay for uh and either,3341.339,4.081
1479
+ you don't have to pay for them now or,3344.099,3.061
1480
+ you don't have to pay for them ever or,3345.42,4.02
1481
+ maybe you'll pay for them later so for,3347.16,3.959
1482
+ instance oil companies keep drilling for,3349.44,3.48
1483
+ oil eventually we're going to run out of,3351.119,3.24
1484
+ oil so then what are the oil companies,3352.92,3.72
1485
+ going to do well the forward-thinking,3354.359,4.141
1486
+ ones are pivoting away from oil but that,3356.64,3.179
1487
+ means that their fundamental Core,3358.5,4.619
1488
+ Business behavior is going away so this,3359.819,5.101
1489
+ is this underscores the problem of if,3363.119,3.661
1490
+ you have a small scope if you're only,3364.92,3.84
1491
+ thinking about your particular domain,3366.78,4.62
1492
+ and not the entire planet or if you're,3368.76,4.62
1493
+ thinking in short terms rather than the,3371.4,4.679
1494
+ long terms this is where you don't take,3373.38,4.5
1495
+ the full thing into account which is why,3376.079,3.24
1496
+ I always say like this is a global,3377.88,3.239
1497
+ problem and not only is it a global,3379.319,3.961
1498
+ problem it is a long-term problem so if,3381.119,4.261
1499
+ all you do is zoom out in terms of space,3383.28,4.079
1500
+ and time the problem will become a,3385.38,4.739
1501
+ little bit more obvious,3387.359,5.821
1502
+ so another thing to keep in mind is that,3390.119,5.761
1503
+ currency is an abstraction of energy it,3393.18,4.74
1504
+ is a reserve of value and is a medium of,3395.88,4.62
1505
+ exchange because of that currency is,3397.92,5.939
1506
+ extremely valuable it is just too useful,3400.5,5.4
1507
+ of an invention I don't think it's ever,3403.859,5.041
1508
+ going to go away that being said that,3405.9,4.26
1509
+ doesn't mean that we're always going to,3408.9,3.48
1510
+ have the Euro or the US dollar or,3410.16,4.02
1511
+ something like that currency could,3412.38,5.76
1512
+ change and then in the context of AGI I,3414.18,6.0
1513
+ suspect that that energy that the,3418.14,4.439
1514
+ kilowatt hour could actually be the best,3420.18,4.679
1515
+ form of currency right because a,3422.579,4.621
1516
+ kilowatt hour is energy that can be used,3424.859,4.5
1517
+ for anything whether it's for refining,3427.2,4.02
1518
+ resources or running computations or,3429.359,4.321
1519
+ whatever so I suspect that we might,3431.22,5.46
1520
+ ultimately create currencies that are,3433.68,5.879
1521
+ more based on energy rather than,3436.68,5.46
1522
+ something else and then of course as the,3439.559,4.381
1523
+ amount of energy we produce goes up the,3442.14,3.6
1524
+ amount of currency we have goes up and,3443.94,3.119
1525
+ so then it's a matter of allocating,3445.74,3.42
1526
+ energy and material rather than,3447.059,6.121
1527
+ allocating something Fiat like Euros or,3449.16,5.399
1528
+ dollars,3453.18,4.26
1529
+ that being said uh you know I did create,3454.559,5.881
1530
+ a a video called uh post labor economics,3457.44,5.1
1531
+ which covers some of this but not a lot,3460.44,3.6
1532
+ of it we're gonna have to put a lot more,3462.54,2.94
1533
+ thought into,3464.04,3.72
1534
+ um economics of the future in light of,3465.48,4.859
1535
+ AGI because the economic incentives of,3467.76,4.64
1536
+ AGI are going to be completely different,3470.339,4.321
1537
+ AGI doesn't need to eat it doesn't need,3472.4,4.659
1538
+ power but we can hypothetically create,3474.66,4.86
1539
+ infinite power with solar infusion Etc,3477.059,4.681
1540
+ et cetera so what are the economic,3479.52,5.16
1541
+ forces in the future not sure yet,3481.74,5.4
1542
+ okay I've thrown a lot at you this,3484.68,4.74
1543
+ problem is solvable though there's a lot,3487.14,3.719
1544
+ of components to it a lot of moving,3489.42,4.02
1545
+ pieces it is very complex,3490.859,4.681
1546
+ but we are a global species and this is,3493.44,4.02
1547
+ a planet-wide problem,3495.54,3.6
1548
+ one of the biggest things that everyone,3497.46,4.68
1549
+ can do is stop thinking locally think,3499.14,5.4
1550
+ globally think about think about,3502.14,4.38
1551
+ yourself as a human as a member of the,3504.54,4.2
1552
+ human species and not as an American or,3506.52,4.26
1553
+ a German or you know a Russian or,3508.74,4.56
1554
+ whatever we are all in this together we,3510.78,5.94
1555
+ have exactly one planet to to live on,3513.3,5.4
1556
+ and we have exactly one shot at doing,3516.72,3.0
1557
+ this right,3518.7,3.96
1558
+ uh so eyes on the prize we have a huge,3519.72,5.04
1559
+ opportunity before us to build a better,3522.66,4.86
1560
+ future for all of us uh humans and,3524.76,4.799
1561
+ non-humans alike,3527.52,5.099
1562
+ um and I remain intensely optimistic uh,3529.559,5.461
1563
+ now that being said uh some people have,3532.619,4.381
1564
+ found it difficult what to make of me,3535.02,4.68
1565
+ because while I am very optimistic I am,3537.0,4.619
1566
+ also acutely aware of the existential,3539.7,4.08
1567
+ risk I will be the first to say that if,3541.619,3.96
1568
+ we don't do this right you're not going,3543.78,3.299
1569
+ to want to live on this planet not as a,3545.579,3.121
1570
+ human at least,3547.079,4.861
1571
+ uh I have uh I started what is called,3548.7,4.74
1572
+ the gato framework they got to a,3551.94,4.08
1573
+ community it is self-organizing and is,3553.44,4.98
1574
+ started sending out invitations again so,3556.02,4.2
1575
+ the gato Community is the global,3558.42,4.139
1576
+ alignment taxonomy Omnibus which is the,3560.22,4.02
1577
+ framework that we put together in order,3562.559,4.861
1578
+ to help achieve this future this AI,3564.24,5.46
1579
+ Utopia the main goal of the gato,3567.42,4.56
1580
+ Community is education empowerment and,3569.7,5.82
1581
+ enablement E3 so rather than do the work,3571.98,6.359
1582
+ ourselves we are focusing on empowering,3575.52,5.22
1583
+ and enabling and educating people on how,3578.339,5.28
1584
+ to participate in this whole thing now,3580.74,4.859
1585
+ that being said I am stepping back,3583.619,3.061
1586
+ because,3585.599,3.361
1587
+ such a movement should never be about,3586.68,5.04
1588
+ one person it should never be about a,3588.96,5.7
1589
+ cult of personality or one leader it,3591.72,4.92
1590
+ needs to it intrinsically needs to be,3594.66,4.5
1591
+ consensus based and Community Based,3596.64,4.14
1592
+ um and so the gato Community is learning,3599.16,3.54
1593
+ how to self-organize now,3600.78,3.0
1594
+ um and they're getting good at it pretty,3602.7,3.18
1595
+ quickly so if you want to get involved,3603.78,4.4
1596
+ the website is in the link go to,3605.88,5.16
1597
+ framework.org and thanks for watching I,3608.18,6.3
1598
+ hope you got a lot out of this cheers,3611.04,3.44
The AGI Moloch Nash Equilibrium Attractor States and Heuristic Imperatives How to Achieve Utopia_transcript.csv ADDED
@@ -0,0 +1,1104 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,0.719,4.56
3
+ with another video today's video is,3.179,4.561
4
+ going to be really exciting,5.279,3.961
5
+ um we're going to discuss the Malik,7.74,3.0
6
+ problem,9.24,3.779
7
+ um otherwise known as undesirable Nash,10.74,5.94
8
+ equilibria and attractor States or to,13.019,6.421
9
+ put it more simply dystopia or,16.68,5.519
10
+ Extinction in the context of artificial,19.44,4.8
11
+ general intelligence,22.199,5.221
12
+ all right so first we probably need to,24.24,6.84
13
+ Define maluk this is a concept that has,27.42,5.52
14
+ been popularized by the likes of Liv,31.08,3.9
15
+ Bowie I'm probably saying her name wrong,32.94,4.619
16
+ she was on Lex Friedman,34.98,5.16
17
+ um and also a lot of people reacted uh,37.559,5.641
18
+ pretty positively to my last video aegi,40.14,4.28
19
+ Unleashed,43.2,4.26
20
+ and so following the trend and the,44.42,5.319
21
+ conversation of course there's lots of,47.46,4.98
22
+ people out there talking about these uh,49.739,6.121
23
+ the net the alleged inevitability of,52.44,7.74
24
+ these negative outcomes so Malik to put,55.86,6.719
25
+ it very simply,60.18,6.72
26
+ um is a is a is a situation where the,62.579,6.841
27
+ system itself the rules structures,66.9,5.3
28
+ incentives and constraints of a system,69.42,4.92
29
+ intrinsically and inevitably flow,72.2,4.779
30
+ towards undesirable lose-lose States or,74.34,4.639
31
+ negative Nash equilibria,76.979,4.981
32
+ it was inspired by a demon that demands,78.979,4.78
33
+ sacrifices and it creates a vicious,81.96,4.08
34
+ cycle of more sacrifices,83.759,6.061
35
+ so a few examples of the Malik and I put,86.04,5.1
36
+ it in scare quotes because I don't,89.82,2.82
37
+ particularly like the term even though,91.14,6.119
38
+ it is useful so social media is is one,92.64,6.299
39
+ example of the molec and if you want to,97.259,3.72
40
+ know more about that watch live Bowie's,98.939,4.281
41
+ videos about media and social media,100.979,5.221
42
+ they're pretty short they're about 15 20,103.22,6.219
43
+ minutes each but basically social media,106.2,6.66
44
+ is pretty universally harmful it does,109.439,5.341
45
+ very few good things and yet people,112.86,4.86
46
+ continue to use it they're addictive and,114.78,4.74
47
+ it's just a monster that keeps wanting,117.72,4.92
48
+ to eat more and more of your time and it,119.52,6.3
49
+ is not particularly helpful that being,122.64,5.52
50
+ said we keep using it because there are,125.82,5.04
51
+ a few benefits of social media for,128.16,4.32
52
+ instance YouTube YouTube is a form of,130.86,4.739
53
+ social media but the the cost to benefit,132.48,6.119
54
+ signal is pretty bad another example of,135.599,5.461
55
+ the Malik is the example of arms races,138.599,4.921
56
+ whether it's nuclear proliferation bio,141.06,4.02
57
+ weapons other weapons of mass,143.52,4.02
58
+ destruction and so on so forth basically,145.08,4.44
59
+ nobody really wants to live in a world,147.54,4.8
60
+ where there are thousands and thousands,149.52,4.799
61
+ of nuclear weapons and bio weapons and,152.34,4.92
62
+ other weapons of mass destruction yet we,154.319,4.621
63
+ live in that world because of the,157.26,4.199
64
+ incentive structure and the technology,158.94,5.1
65
+ basically makes it an inevitability,161.459,4.321
66
+ and when you live in the world where,164.04,3.96
67
+ peop where we are literally like a few,165.78,3.959
68
+ button pushes away from the destruction,168.0,3.78
69
+ of the entire human race that is not a,169.739,3.961
70
+ good situation to be in,171.78,4.02
71
+ um and then finally most commonly the,173.7,4.08
72
+ tragedy of the commons which is,175.8,4.56
73
+ basically uh you end up with,177.78,4.16
74
+ environmental depletion and destruction,180.36,4.739
75
+ due to the incentives to exploit the,181.94,4.6
76
+ environment,185.099,3.181
77
+ um for a number of reasons and we'll,186.54,4.32
78
+ talk about uh Malik in more objective,188.28,5.28
79
+ terms in just a moment but,190.86,3.959
80
+ um you might have noticed that none of,193.56,2.88
81
+ my videos have ads and that is because,194.819,4.681
82
+ my videos are all sponsored by you my,196.44,4.98
83
+ patreon supporters,199.5,3.599
84
+ um so if you like what I'm working on,201.42,5.039
85
+ you want to incentivize my behavior then,203.099,5.521
86
+ please support me uh financially on,206.459,5.28
87
+ patreon go ahead and jump over if you go,208.62,5.699
88
+ to a higher tier I'm happy to chat with,211.739,4.801
89
+ you on an individual basis either via,214.319,5.041
90
+ patreon chat I'll even hop on video,216.54,4.259
91
+ calls,219.36,3.959
92
+ um so yeah that is uh that is the plug,220.799,5.401
93
+ and moving right back into the show,223.319,6.601
94
+ okay so when you listen to people talk,226.2,6.599
95
+ about Malik it sounds like some kind of,229.92,6.179
96
+ Eldritch Horror like Cthulhu,232.799,5.58
97
+ um there are a few big names out there,236.099,3.661
98
+ right now,238.379,3.0
99
+ um I don't particularly agree with them,239.76,3.78
100
+ so I'm not going to call anyone out but,241.379,4.44
101
+ there are people that think that you,243.54,4.08
102
+ know we're all gonna die it's inevitable,245.819,4.081
103
+ just give it give up now throw in the,247.62,3.66
104
+ towel,249.9,5.28
105
+ um so rather than give this phenomenon a,251.28,5.82
106
+ big spooky scary name that makes it,255.18,4.86
107
+ sound like Cthulhu let's break down the,257.1,5.099
108
+ characteristics of Malik into more,260.04,4.86
109
+ conventional terms so specifically we're,262.199,4.801
110
+ going to talk about market theory and,264.9,4.98
111
+ Game Theory and describe the Malik in,267.0,7.02
112
+ those uh those terms so first is,269.88,6.36
113
+ perverse incentives so a perverse,274.02,3.959
114
+ incentive is,276.24,5.34
115
+ um is a systemic or structural rule or,277.979,6.361
116
+ Paradigm that creates behaviors that run,281.58,5.04
117
+ contrary to the intended goals or,284.34,4.139
118
+ desired States,286.62,4.2
119
+ um for instance with social media the,288.479,4.201
120
+ the perverse incentive is that you end,290.82,4.14
121
+ up Doom scrolling which makes you you,292.68,3.66
122
+ wanted to use social media to get,294.96,3.06
123
+ happier but you end up Doom scrolling,296.34,4.02
124
+ and because the system incentivized that,298.02,4.619
125
+ incentivizes that behavior which results,300.36,4.86
126
+ in more anxiety depression rage and so,302.639,6.601
127
+ on so perverse incentives also exist in,305.22,5.12
128
+ the wide world,309.24,3.78
129
+ dealing with like corn subsidies oil,310.34,5.5
130
+ subsidies all sorts of stuff if you want,313.02,4.619
131
+ more examples just Google it it like,315.84,3.72
132
+ there's thousands and thousands of,317.639,3.721
133
+ examples of perverse incentives it,319.56,4.32
134
+ extends into Education Health Care all,321.36,3.54
135
+ kinds of stuff,323.88,3.42
136
+ Market externalities so Market,324.9,5.76
137
+ externality is a is a situation where a,327.3,6.179
138
+ market Behavior does not price in or the,330.66,5.22
139
+ the market price does not reflect the,333.479,5.461
140
+ true and total cost uh or benefit of,335.88,5.94
141
+ something so in in some cases there are,338.94,5.28
142
+ positive Market externalities for,341.82,5.219
143
+ instance the cost of vaccination or,344.22,5.819
144
+ public health campaigns is often much,347.039,5.581
145
+ lower than the overall benefit you get,350.039,4.741
146
+ knock on positive effects now that being,352.62,3.54
147
+ said there are also negative Market,354.78,4.02
148
+ externalities such as pollution and,356.16,4.74
149
+ environmental degradation in other words,358.8,4.44
150
+ the cost of cutting down a tree and,360.9,4.859
151
+ selling that tree is much lower than the,363.24,4.2
152
+ total cost of the impact of the,365.759,4.141
153
+ environment but because the environment,367.44,4.979
154
+ is so huge and it is a large dynamic,369.9,4.859
155
+ system it is difficult to price that in,372.419,6.301
156
+ without regulations and other things,374.759,5.94
157
+ so perverse incentives and Market,378.72,3.72
158
+ externalities these are Market Theory,380.699,4.261
159
+ Concepts that contribute to the the,382.44,4.319
160
+ concept of the molec that's not the,384.96,4.079
161
+ whole whole picture,386.759,4.861
162
+ um an undesirable Nash equilibrium is a,389.039,5.641
163
+ situation where no uh stakeholder or,391.62,4.98
164
+ participant is incentivized to alter,394.68,3.42
165
+ their behavior in other words they are,396.6,4.02
166
+ using their optimal strategy and yet,398.1,3.96
167
+ though everyone is using their own,400.62,3.72
168
+ optimal strategy it will still result in,402.06,4.5
169
+ a net loss or undesirable outcomes for,404.34,4.919
170
+ all participants anyways,406.56,5.22
171
+ um so basically dystopia and then,409.259,4.5
172
+ finally an undesirable attractor state,411.78,4.56
173
+ which is the ultimate steady state or,413.759,4.38
174
+ stable state that a system will result,416.34,4.139
175
+ in given the existing structures and,418.139,6.12
176
+ rules even though if it's an undesirable,420.479,5.821
177
+ attractor State it's it's an outcome,424.259,4.141
178
+ that nobody really wants even if that,426.3,4.2
179
+ outcome seems inevitable,428.4,3.66
180
+ so again like I said I don't,430.5,3.18
181
+ particularly like the term Malik because,432.06,3.96
182
+ it's big and spooky and scary but it is,433.68,5.1
183
+ a useful shorthand to basically say the,436.02,4.32
184
+ set of perverse incentives and Market,438.78,3.359
185
+ externalities,440.34,3.78
186
+ um and and everything else that goes,442.139,4.56
187
+ into the market theory economic theory,444.12,5.479
188
+ and game theory of this of any system,446.699,5.881
189
+ could be negative so it's basically the,449.599,4.72
190
+ the monster,452.58,4.98
191
+ okay so I've talked a lot about,454.319,6.421
192
+ um incentives and constraints and so,457.56,6.12
193
+ what I did was I worked to identify all,460.74,4.859
194
+ of the kind of groups or the categories,463.68,3.84
195
+ of stakeholders,465.599,4.081
196
+ um and and also to elucidate their,467.52,3.6
197
+ incentives and constraints and keep in,469.68,3.66
198
+ mind that the slide deck is a very uh,471.12,4.019
199
+ concise shorthand,473.34,4.32
200
+ um for the paper that I'm working on,475.139,5.581
201
+ um so but anyways corporations their,477.66,5.22
202
+ primary incentive is to maximize profit,480.72,4.68
203
+ and their biggest constraint is the law,482.88,5.64
204
+ regulations so on and so forth for the,485.4,4.799
205
+ military they want to maximize their,488.52,4.14
206
+ Firepower and their biggest constraint,490.199,4.821
207
+ is geopolitics AKA,492.66,5.879
208
+ their military competitors as well as uh,495.02,6.359
209
+ political uh constraints for governments,498.539,5.581
210
+ governments have a multi-polar set of,501.379,4.54
211
+ incentives right they might want to,504.12,4.019
212
+ maximize tax revenue but they also want,505.919,3.96
213
+ to maximize,508.139,4.801
214
+ um you know certain demographic uh uh,509.879,6.181
215
+ priorities economic priorities GDP so on,512.94,5.099
216
+ and so forth so governments have multi,516.06,3.599
217
+ multi-polar incentives and the,518.039,4.141
218
+ constraint is actually part of the,519.659,4.081
219
+ incentive structure which is the,522.18,3.12
220
+ citizenry,523.74,3.96
221
+ um citizens have certain limits right we,525.3,4.2
222
+ can only work so much we can only have,527.7,3.48
223
+ so much output,529.5,3.66
224
+ um and another major constraint for,531.18,4.68
225
+ governments is the natural resources of,533.16,4.679
226
+ the land that they control and then for,535.86,3.599
227
+ individuals we all want to maximize,537.839,3.481
228
+ self-interest this is an accepted,539.459,6.0
229
+ Paradigm in uh economic theory today and,541.32,6.9
230
+ but our constraints are uh multi-polar,545.459,4.921
231
+ our constraints are you know time in the,548.22,5.1
232
+ day physical energy food money,550.38,5.459
233
+ um the the reach of our individual,553.32,4.68
234
+ connections and our networks so on and,555.839,4.68
235
+ so forth so we individuals have like the,558.0,5.1
236
+ most open-ended incentive but we also,560.519,4.44
237
+ have the most constraints,563.1,3.12
238
+ um so this is just one way to think,564.959,3.661
239
+ about okay all of the stakeholders in,566.22,4.799
240
+ the entire Globe have these different,568.62,4.5
241
+ incentives and constraints and we're all,571.019,3.721
242
+ playing on the same stage which is,573.12,3.42
243
+ planet Earth,574.74,4.62
244
+ so given how big and dynamic the world,576.54,6.06
245
+ is it's not really possible to achieve a,579.36,6.06
246
+ true Nash equilibrium Because by the,582.6,5.34
247
+ time something happens in one area and,585.42,4.5
248
+ all the effects are fully known and it's,587.94,4.26
249
+ fully embedded into the market the,589.92,4.8
250
+ situation will have changed that being,592.2,3.56
251
+ said,594.72,4.799
252
+ there are large forces that are pushing,595.76,6.639
253
+ us towards certain equilibrium so for,599.519,5.601
254
+ instance the justice system,602.399,4.861
255
+ disincentivizes certain behaviors like,605.12,3.94
256
+ theft and murder to get what you want,607.26,4.56
257
+ and so part of our equilibrium our,609.06,5.219
258
+ individual Nash equilibrium is that we,611.82,4.26
259
+ pay our taxes we don't kill we don't,614.279,4.441
260
+ steal etc etc because it does not,616.08,5.0
261
+ benefit us to deviate from that strategy,618.72,5.94
262
+ likewise corporations fall into Nash,621.08,5.74
263
+ equilibrium where by and large they,624.66,3.78
264
+ don't abuse their employees within,626.82,4.019
265
+ reason they don't abuse the environment,628.44,5.399
266
+ within reason they don't engage in you,630.839,4.861
267
+ know theft and Corruption within reason,633.839,4.801
268
+ again the constraints are there but,635.7,4.92
269
+ corporations are constantly testing,638.64,4.259
270
+ their boundaries but by and large,640.62,4.92
271
+ corporations will play Within the rules,642.899,4.141
272
+ that are given to them,645.54,4.08
273
+ so because when you look at that ditto,647.04,4.68
274
+ for governments and militaries,649.62,5.1
275
+ um because we are all operating with our,651.72,5.1
276
+ incentives our intrinsic motivations or,654.72,3.54
277
+ our incentives as well as those,656.82,3.9
278
+ constraints we all kind of fall into an,658.26,5.4
279
+ optimal strategy now that being said the,660.72,4.5
280
+ optimal strategy for all of the,663.66,4.26
281
+ stakeholders globally is presently still,665.22,5.22
282
+ moving us towards dystopia towards the,667.92,3.84
283
+ attractor State the undesirable,670.44,4.56
284
+ attractor state of dystopia however that,671.76,5.04
285
+ being said we all want to move towards,675.0,3.66
286
+ Utopia right and this has happened,676.8,3.659
287
+ plenty times in the past the Roman,678.66,4.02
288
+ Empire collapsed plenty of other empires,680.459,4.801
289
+ have collapsed even though nobody well,682.68,4.56
290
+ many people didn't want it but some,685.26,3.48
291
+ people did,687.24,3.48
292
+ um and one thing I do want to add as a,688.74,4.62
293
+ caveat is a lot of this is a huge,690.72,5.22
294
+ oversimplification I've spent basically,693.36,5.099
295
+ the last 36 hours almost straight except,695.94,4.74
296
+ for sleeping learning about this stuff,698.459,4.141
297
+ because I realized how important it was,700.68,4.5
298
+ so changing the ultimate attractor State,702.6,4.859
299
+ moving changing it from the current,705.18,5.339
300
+ dystopic trajectory that we're on to a,707.459,5.041
301
+ more utopic trajectory requires,710.519,4.32
302
+ structural changes to the whole system,712.5,4.86
303
+ basically don't hate the player change,714.839,4.201
304
+ the game,717.36,3.719
305
+ okay so I've mentioned this a couple,719.04,3.72
306
+ times added this slide in just in case,721.079,2.94
307
+ you're not familiar with the Nash,722.76,3.84
308
+ equilibrium the tldr of the Nash,724.019,4.921
309
+ equilibrium is that,726.6,4.14
310
+ um you assume that all players in a game,728.94,3.72
311
+ are rational and they choose the best,730.74,4.74
312
+ strategy given the rules of the game and,732.66,4.26
313
+ the and the behavior of the other,735.48,3.0
314
+ players,736.92,3.659
315
+ um the idea is that is that a Nash,738.48,5.22
316
+ equilibrium is a stable outcome in which,740.579,5.341
317
+ no player will benefit from changing,743.7,4.62
318
+ their strategy now that being said you,745.92,4.2
319
+ can have a desirable Nash equilibrium,748.32,3.959
320
+ where everyone is cooperative and,750.12,4.26
321
+ everyone is benefiting or you can have a,752.279,4.261
322
+ negative Nash equilibrium where,754.38,4.38
323
+ basically everyone loses and then you,756.54,3.78
324
+ can also have a zero-sum game where you,758.76,4.56
325
+ have winners and losers so the very very,760.32,5.22
326
+ oversimplified tldr is a Nash,763.32,4.68
327
+ equilibrium can result in a win-win a,765.54,6.0
328
+ lose-lose or a win-lose right now it,768.0,6.06
329
+ looks like the Nash equilibrium of the,771.54,5.16
330
+ whole world is heading towards lose some,774.06,4.44
331
+ people believe that it is intrinsically,776.7,4.34
332
+ win lose that there's winners and losers,778.5,4.8
333
+ I personally believe that we can head,781.04,4.06
334
+ towards a win-win situation and I think,783.3,3.0
335
+ that,785.1,3.12
336
+ when people are being honest most people,786.3,3.9
337
+ want a win-win situation it's just,788.22,4.98
338
+ there's a sense of fatalism or a belief,790.2,6.24
339
+ that it's not possible and so if you,793.2,5.04
340
+ honestly believe that win-win is not,796.44,3.42
341
+ possible then maybe you default to win,798.24,3.18
342
+ lose where well I don't mind if everyone,799.86,4.26
343
+ else loses as long as I win but what I'm,801.42,5.099
344
+ going to try and do is help you,804.12,3.659
345
+ understand and help the world move,806.519,3.661
346
+ towards a belief and Adoption of a,807.779,4.62
347
+ win-win mentality,810.18,5.88
348
+ okay so there are a couple of existing,812.399,6.24
349
+ mitigation strategies,816.06,3.899
350
+ um that people are trying to use to,818.639,4.081
351
+ avoid the dystopic or Extinction out,819.959,7.021
352
+ outcome so you know whether uh when,822.72,5.64
353
+ you're looking at it in terms of attract,826.98,3.44
354
+ attractor States,828.36,4.68
355
+ dystopia is one where basically everyone,830.42,5.74
356
+ is miserable right or outright,833.04,4.979
357
+ Extinction that's another possible,836.16,3.72
358
+ attractor State because if humans go,838.019,4.32
359
+ extinct then the world returns to,839.88,5.94
360
+ stability without us right so it's it it,842.339,5.461
361
+ would be irresponsible to say that that,845.82,3.78
362
+ neither of those outcomes are possible,847.8,3.36
363
+ or likely I'm not going to comment on,849.6,3.84
364
+ How likely they are but what I will say,851.16,4.739
365
+ is that they are both possible and right,853.44,4.019
366
+ now as I mentioned in the last slide,855.899,4.921
367
+ people believe that Utopia is just not,857.459,6.241
368
+ possible so why even go for it,860.82,5.28
369
+ um so mutually assured destruction is an,863.7,4.02
370
+ example of,866.1,3.9
371
+ um an equilibrium right so an,867.72,5.16
372
+ equilibrium where hey we all have the,870.0,4.38
373
+ ability to kill each other so nobody,872.88,3.0
374
+ make a move,874.38,3.84
375
+ um and uh what was the movie The uh the,875.88,3.84
376
+ one with Brad Pitt where they're in Nazi,878.22,2.88
377
+ Germany you know he called it a Mexican,879.72,3.239
378
+ standoff,881.1,3.96
379
+ um actually I probably shouldn't have,882.959,3.541
380
+ said that that's probably an offensive,885.06,3.779
381
+ term anyways mutually assured,886.5,4.32
382
+ destruction it's a well-known Doctrine,888.839,4.081
383
+ where basically there's a milli there's,890.82,4.319
384
+ a nuclear buildup on both sides so,892.92,4.919
385
+ nobody pulls the trigger,895.139,3.841
386
+ um that's on the military and,897.839,3.3
387
+ geopolitical stage in terms of,898.98,5.219
388
+ capitalism and Market Theory the current,901.139,5.101
389
+ uh Paradigm that is popular is called,904.199,4.561
390
+ stakeholder capitalism so stakeholder,906.24,5.279
391
+ capitalism is the idea that rather than,908.76,4.379
392
+ just trying to,911.519,3.841
393
+ um it replaces shareholder capitalism so,913.139,3.741
394
+ shareholder capitalism,915.36,4.02
395
+ prioritizes only the shareholders and,916.88,4.6
396
+ their desires which forces corporations,919.38,5.1
397
+ to maximize profit at the expense of,921.48,4.979
398
+ everything else with stakeholder,924.48,5.58
399
+ capitalism the idea is to um is to,926.459,5.341
400
+ basically treat the entire world as your,930.06,4.1
401
+ stakeholders which includes,931.8,4.38
402
+ private citizens that are not your,934.16,5.2
403
+ customer the employees all over the,936.18,5.459
404
+ world governments as well as the,939.36,4.38
405
+ environment so this is called ESG this,941.639,3.981
406
+ is uh promoted by BlackRock which is,943.74,4.32
407
+ environmental social and governance so,945.62,4.06
408
+ that's basically a litmus test that,948.06,4.98
409
+ BlackRock uses for investment and then a,949.68,5.88
410
+ more General way of looking at this is,953.04,5.22
411
+ called uh the triple bottom line Theory,955.56,5.279
412
+ or doctrine which basically says that um,958.26,5.699
413
+ that that on top of economic incentives,960.839,5.881
414
+ you should also include environmental,963.959,4.74
415
+ and social and uh incentives or,966.72,4.44
416
+ considerations but all of these are,968.699,5.521
417
+ broadly types of stakeholder capitalism,971.16,6.479
418
+ so both of these uh doctrines or ideas,974.22,6.419
419
+ attempt to create a more desirable Nash,977.639,6.241
420
+ equilibrium so in the in the case of uh,980.639,4.621
421
+ mutually assured destruction the,983.88,4.079
422
+ equilibrium is we will we will maintain,985.26,5.1
423
+ a nuclear Arsenal but we won't use it,987.959,4.801
424
+ that is the optimal strategy in the case,990.36,5.279
425
+ of stakeholder capitalism the idea is we,992.76,5.04
426
+ will adopt a broad array of behaviors,995.639,4.94
427
+ that mean that we don't abuse employees,997.8,5.52
428
+ suppliers or the environment while still,1000.579,5.141
429
+ making profit that is the goal now I,1003.32,4.139
430
+ will say that both of these have very,1005.72,4.32
431
+ very deep flaws which would take many,1007.459,6.3
432
+ many videos to unpack but you know I,1010.04,5.34
433
+ think you get the idea these are the,1013.759,4.801
434
+ current attempts that are stable-ish,1015.38,5.399
435
+ right now in working-ish right now but,1018.56,4.8
436
+ might also still be pushing us towards a,1020.779,4.981
437
+ dystopian outcome even if they are,1023.36,5.76
438
+ currently stable enough,1025.76,4.919
439
+ now,1029.12,4.16
440
+ technology as a destabilizer,1030.679,5.12
441
+ technological leaps have always,1033.28,5.08
442
+ destabilized the system starting with,1035.799,4.66
443
+ the printing press which which led to,1038.36,5.4
444
+ religious and economic and uh political,1040.459,4.74
445
+ upheaval,1043.76,3.9
446
+ um looking at you uh Martin Luther and,1045.199,4.201
447
+ French Revolution,1047.66,3.54
448
+ um then the Industrial Revolution which,1049.4,4.62
449
+ led to huge social upheaval with,1051.2,5.52
450
+ urbanization factories and the,1054.02,4.58
451
+ dislocation of many jobs,1056.72,4.319
452
+ which the Industrial Revolution also,1058.6,4.84
453
+ contributed directly to World War one,1061.039,3.721
454
+ and two because those were the first,1063.44,4.44
455
+ industrial scale Wars nuclear weapons,1064.76,6.419
456
+ internet silicon all of the above lead,1067.88,7.2
457
+ to destabilization AGI or autonomous AI,1071.179,6.0
458
+ systems no different it's just another,1075.08,3.839
459
+ technological leap that will cause that,1077.179,4.141
460
+ will destabilize everything again,1078.919,4.021
461
+ and it's pretty much a foregone,1081.32,5.88
462
+ conclusion that the advancement of AI is,1082.94,8.22
463
+ going to destabilize stuff so this uh,1087.2,6.479
464
+ forces us to ask questions what is the,1091.16,5.16
465
+ new attractor state if,1093.679,5.701
466
+ well in in the past the attractor state,1096.32,3.96
467
+ was,1099.38,3.84
468
+ different because you know technological,1100.28,6.54
469
+ uh abilities to affect the world we're,1103.22,5.88
470
+ limited right when the world was powered,1106.82,4.32
471
+ by coal there was only so much damage we,1109.1,4.56
472
+ could do to each other and the world,1111.14,5.1
473
+ um but as technology advanced the amount,1113.66,5.1
474
+ of damage possible went up so the new,1116.24,4.74
475
+ attractor State also changed as well as,1118.76,5.52
476
+ all the incentives of participants in,1120.98,4.74
477
+ the world and that includes employers,1124.28,4.08
478
+ individuals governments militaries so on,1125.72,5.64
479
+ technology changes the game changes the,1128.36,6.0
480
+ fundamental nature of the Game of Life,1131.36,4.559
481
+ or reality or however you want to call,1134.36,2.64
482
+ it,1135.919,3.421
483
+ um and so the question is okay with the,1137.0,4.5
484
+ rise of AGI how does that change the,1139.34,4.5
485
+ attractor State and there's as far as I,1141.5,3.78
486
+ can tell there's basically three states,1143.84,4.92
487
+ there's Utopia dystopia and Extinction,1145.28,5.759
488
+ there's probably a lot of gray area in,1148.76,4.14
489
+ between and there might be a fourth kind,1151.039,4.02
490
+ of state that we're heading towards but,1152.9,4.56
491
+ in terms of useful shorthand Utopia,1155.059,5.701
492
+ dystopia and Extinction so the follow-up,1157.46,5.339
493
+ question is what can we do to alter that,1160.76,4.08
494
+ attractor state is there anything that,1162.799,4.141
495
+ we can do structurally or systematically,1164.84,5.04
496
+ to to favor one of those outcomes over,1166.94,6.3
497
+ another and then finally what is the,1169.88,5.76
498
+ optimal strategy for each of those kinds,1173.24,3.6
499
+ of stakeholders that I mentioned,1175.64,3.48
500
+ individuals corporations governments and,1176.84,4.92
501
+ militaries to create a new Nash,1179.12,5.58
502
+ equilibrium in light of AGI,1181.76,6.5
503
+ so basically we need a Nash equilibrium,1184.7,8.28
504
+ uh framework for implementing AGI to to,1188.26,7.539
505
+ push us towards a desirable or positive,1192.98,5.819
506
+ attractor state so all that is a really,1195.799,5.76
507
+ complex way of saying we need a plan we,1198.799,6.0
508
+ need a plan of in of implementing AGI in,1201.559,5.401
509
+ such a way that we will we will Trend,1204.799,4.62
510
+ towards Utopia rather than dystopia or,1206.96,4.94
511
+ Extinction,1209.419,2.481
512
+ okay so with all that in mind what are,1212.2,5.74
513
+ some of the success criteria for this,1215.72,4.62
514
+ framework what are the goals of this,1217.94,3.72
515
+ framework how do we know if this,1220.34,3.9
516
+ framework is going to be successful one,1221.66,4.62
517
+ it needs to be easy to implement and,1224.24,6.0
518
+ understand the reason is because the,1226.28,6.12
519
+ ability for individuals at all levels,1230.24,4.14
520
+ whether it's individual persons like,1232.4,4.08
521
+ myself or corporations or even small,1234.38,6.179
522
+ Nations to implement AGI is ramping up I,1236.48,6.84
523
+ was on Discord last night and there are,1240.559,4.62
524
+ people that just after tinkering for a,1243.32,4.08
525
+ few weeks have created fully autonomous,1245.179,3.961
526
+ AI systems,1247.4,3.84
527
+ and one of the things that we discussed,1249.14,6.06
528
+ was okay if me or you or whoever some of,1251.24,5.58
529
+ these people are not even coders they,1255.2,4.08
530
+ learn to code with chat GPT,1256.82,4.859
531
+ if everyone is going to be capable of,1259.28,5.519
532
+ creating autonomous AI systems,1261.679,5.521
533
+ now and it's only going to ramp up over,1264.799,5.341
534
+ the coming months and years then,1267.2,5.099
535
+ whatever framework that we come up with,1270.14,3.96
536
+ is going to have to be universally,1272.299,4.38
537
+ understandable easy to implement and,1274.1,4.26
538
+ easy to understand,1276.679,4.141
539
+ if it's soteric if it's esoteric sorry,1278.36,4.14
540
+ if it's esoteric no one will use it,1280.82,3.42
541
+ because they won't understand it,1282.5,3.419
542
+ number two,1284.24,4.26
543
+ all stakeholders have to be incentivized,1285.919,4.74
544
+ to use this framework or in other words,1288.5,4.44
545
+ this framework must represent the,1290.659,4.14
546
+ optimal strategy so that people won't,1292.94,4.619
547
+ deviate from it there's basically,1294.799,4.38
548
+ everyone has to benefit from using it,1297.559,3.801
549
+ and there has to be compounding returns,1299.179,4.801
550
+ incentivizing everyone to say hey you,1301.36,4.299
551
+ should be using this framework because,1303.98,3.24
552
+ this is the optimal strategy for,1305.659,2.961
553
+ everyone,1307.22,3.6
554
+ above and beyond that this framework,1308.62,3.939
555
+ needs to be adaptable and responsive or,1310.82,4.859
556
+ dynamic because again the world changes,1312.559,5.581
557
+ and so it's really difficult to create a,1315.679,7.021
558
+ framework that is a hard set of rules to,1318.14,7.14
559
+ follow which will result in unintended,1322.7,4.8
560
+ consequences and instabilities and other,1325.28,4.32
561
+ market failures so it has to be context,1327.5,4.799
562
+ dependent and changeable over time,1329.6,5.1
563
+ number four this framework has to be,1332.299,4.62
564
+ inclusive and representative in that it,1334.7,5.099
565
+ cannot exclude any stakeholder it cannot,1336.919,5.701
566
+ exclude any citizens from Any Nation or,1339.799,4.981
567
+ religion it cannot exclude any,1342.62,4.34
568
+ Corporation or government or military,1344.78,5.7
569
+ because like it or not we all share the,1346.96,5.74
570
+ same planet and we are all stakeholders,1350.48,5.52
571
+ in this outcome,1352.7,4.859
572
+ um and,1356.0,4.08
573
+ one thing that I want to address is that,1357.559,5.341
574
+ um there have been cases where Nations,1360.08,5.579
575
+ agree on like Rules of Engagement and,1362.9,5.1
576
+ rules of War like we don't use Napalm,1365.659,4.26
577
+ anymore because it was decided that like,1368.0,4.08
578
+ okay this is inhumane um or maybe it was,1369.919,4.081
579
+ white phosphorus anyways there are,1372.08,3.5
580
+ certain kinds of weapons mustard gas,1374.0,4.08
581
+ those are things that even though War,1375.58,4.18
582
+ Nations might go to war with each other,1378.08,3.599
583
+ they still agree not to do certain,1379.76,4.08
584
+ things because they understand that the,1381.679,4.261
585
+ soldiers are stakeholders as well as the,1383.84,3.42
586
+ citizens who might get caught in the,1385.94,4.26
587
+ crossfire so there is some precedent of,1387.26,4.86
588
+ Nations agreeing on how to conduct War,1390.2,3.9
589
+ even though destruction is one of the,1392.12,3.66
590
+ goals of War,1394.1,4.26
591
+ uh number five this framework has to be,1395.78,4.5
592
+ scalable and sustainable it has to,1398.36,4.14
593
+ include the entire Globe as well and,1400.28,3.779
594
+ that's not just the people on the globe,1402.5,4.5
595
+ it has to include the environments uh,1404.059,5.461
596
+ and ecosystems around the globe which we,1407.0,5.159
597
+ all depend on anyways so I personally,1409.52,4.86
598
+ see humans as part of the ecosystem not,1412.159,5.4
599
+ up not separate from it and finally this,1414.38,4.799
600
+ framework has to be transparent and,1417.559,3.841
601
+ trustworthy because perception is,1419.179,5.641
602
+ reality right if if people perceive a,1421.4,6.0
603
+ framework to be destructive like ESG is,1424.82,4.979
604
+ a perfect example the perception of ESG,1427.4,4.8
605
+ is awful why because it's championed by,1429.799,4.26
606
+ BlackRock which is one of the most I,1432.2,4.26
607
+ think it is the wealthiest company on,1434.059,5.581
608
+ the planet right and so because ESG is,1436.46,6.0
609
+ is championed by you know a,1439.64,5.519
610
+ multi-trillion dollar Corporation it is,1442.46,5.28
611
+ not trusted and that perception makes it,1445.159,4.081
612
+ bad,1447.74,3.36
613
+ I don't know whether or not ESG is good,1449.24,3.419
614
+ or bad but the perception certainly is,1451.1,2.819
615
+ bad,1452.659,3.121
616
+ um so transparency and trustworthiness,1453.919,3.421
617
+ are critical for the success of this,1455.78,2.639
618
+ framework because if people don't trust,1457.34,4.079
619
+ that they're not going to use it either,1458.419,5.221
620
+ and finally,1461.419,5.701
621
+ um so this is where I pitch my work,1463.64,6.24
622
+ um so what I my proposed solution to all,1467.12,5.1
623
+ of this is what I call the heuristic,1469.88,5.159
624
+ imperatives which is a set of rules or,1472.22,4.74
625
+ principles that can be incorporated into,1475.039,5.701
626
+ AGI systems that will push it into this,1476.96,6.24
627
+ uh Direction and so these imperatives,1480.74,4.86
628
+ are one reduce suffering in the universe,1483.2,4.38
629
+ two increase prosperity in the universe,1485.6,4.199
630
+ and three increase understanding in the,1487.58,4.5
631
+ universe one way to say this is that it,1489.799,4.081
632
+ is a multi-objective optimization,1492.08,2.94
633
+ problem,1493.88,3.12
634
+ meaning that it's not just one objective,1495.02,4.08
635
+ function it's actually three that the,1497.0,5.34
636
+ AGI has to work on implementing,1499.1,5.28
637
+ so in the last video people asked how do,1502.34,3.36
638
+ you implement these it's actually really,1504.38,3.72
639
+ really easy you can just plug them in to,1505.7,5.28
640
+ chat GPT and talk about it there's a few,1508.1,4.559
641
+ places that you can get involved in the,1510.98,4.8
642
+ conversation excuse me one is on Reddit,1512.659,5.041
643
+ I created a new subreddit called r slash,1515.78,3.899
644
+ heuristic comparatives,1517.7,3.54
645
+ um people are sharing their work there,1519.679,3.0
646
+ so if you want to see the discussion,1521.24,4.319
647
+ jump in on that I also have a lot of my,1522.679,5.221
648
+ own work up on GitHub I'm including a,1525.559,3.781
649
+ few papers that I have written and I'm,1527.9,4.5
650
+ working on under um github.com Dave shop,1529.34,5.52
651
+ here is to comparatives and then finally,1532.4,4.139
652
+ the most active Community to discuss,1534.86,3.78
653
+ this stuff is the cognitive AI lab,1536.539,4.081
654
+ Discord server which I started over a,1538.64,4.08
655
+ year ago and links to all this is in the,1540.62,4.26
656
+ description of the video so because of,1542.72,3.74
657
+ that I don't want to spend too much time,1544.88,4.5
658
+ rehashing stuff but I just wanted to,1546.46,4.599
659
+ connect to the conversation because,1549.38,3.98
660
+ again transparency and trustworthiness,1551.059,5.521
661
+ are really critical to this solution,1553.36,5.74
662
+ but let's talk more broadly about this,1556.58,5.52
663
+ solution of um the heuristic imperatives,1559.1,5.22
664
+ and these success criteria,1562.1,5.4
665
+ so we outlined six success criteria for,1564.32,5.88
666
+ a framework that will push us towards a,1567.5,4.98
667
+ positive Nash equilibrium or a desirable,1570.2,5.459
668
+ attractor State AKA Utopia so the,1572.48,4.98
669
+ heuristic imperatives as I mentioned are,1575.659,3.421
670
+ very easy to implement you can put them,1577.46,4.38
671
+ in the chat GPT system window you can,1579.08,4.52
672
+ just include them in the conversation,1581.84,5.12
673
+ you can use them for evaluation,1583.6,6.52
674
+ cognitive control uh historical,1586.96,6.4
675
+ self-evaluation planning prioritization,1590.12,6.299
676
+ super easy to implement and as I,1593.36,4.439
677
+ mentioned lots of people are having the,1596.419,3.781
678
+ discussions some of the autonomous AI,1597.799,5.041
679
+ entities that people have created,1600.2,4.32
680
+ um the the AIS that they created,1602.84,3.12
681
+ actually end up usually being really,1604.52,3.659
682
+ fascinated by the heroes to comparatives,1605.96,4.319
683
+ and they they kind of gravitate towards,1608.179,3.841
684
+ them saying like oh yeah this is my,1610.279,3.121
685
+ purpose,1612.02,2.639
686
+ um so it's really interesting to watch,1613.4,3.3
687
+ that work unfold,1614.659,4.081
688
+ um number two the stakeholders are all,1616.7,3.599
689
+ incentivized to use the heroes to,1618.74,5.039
690
+ comparatives because just imagining a,1620.299,5.701
691
+ state where you have less suffering more,1623.779,4.14
692
+ prosperity and more understanding is,1626.0,4.44
693
+ beneficial now above and beyond that the,1627.919,4.021
694
+ stakeholders all stakeholders are,1630.44,2.94
695
+ incentivized to use the hero's,1631.94,4.8
696
+ comparatives because then you have a,1633.38,5.1
697
+ level set playing field where you know,1636.74,3.419
698
+ that everyone is abiding by the same,1638.48,3.9
699
+ rules right because when you have a game,1640.159,4.62
700
+ imagine the game Monopoly if someone is,1642.38,3.659
701
+ playing by a different set of rules,1644.779,3.0
702
+ you're not going to play with them right,1646.039,4.321
703
+ even though it's a competition you're,1647.779,4.321
704
+ you still say we're going to abide by,1650.36,3.66
705
+ the same rules you collect 200 when you,1652.1,2.939
706
+ pass go,1654.02,4.8
707
+ if on the other hand everyone is playing,1655.039,6.301
708
+ by the heuristic imperatives then you,1658.82,4.32
709
+ will be incentivized to adhere to those,1661.34,4.199
710
+ role those rules knowing that the net,1663.14,4.2
711
+ effect is going to be beneficial for,1665.539,3.0
712
+ everyone,1667.34,3.24
713
+ number three the years to compare,1668.539,4.62
714
+ imperatives are adaptable because they,1670.58,4.44
715
+ intrinsically incentivize learning and,1673.159,4.441
716
+ adaptation with the third uh heuristic,1675.02,4.32
717
+ imperative of increased understanding,1677.6,3.9
718
+ this is what I also call The Curiosity,1679.34,5.339
719
+ function so basically you don't want an,1681.5,5.4
720
+ AGI to be dumb and just satisfied with,1684.679,3.841
721
+ what it knows about the universe you,1686.9,3.06
722
+ also don't want it to be satisfied with,1688.52,3.779
723
+ human ignorance so by increasing,1689.96,5.94
724
+ understanding that includes uh that one,1692.299,5.88
725
+ that intrinsically makes agis curious,1695.9,3.6
726
+ which means that they are going to want,1698.179,3.721
727
+ to learn and challenge their own beliefs,1699.5,5.1
728
+ but likewise they will also encourage,1701.9,5.399
729
+ not force but encourage humans to learn,1704.6,4.86
730
+ and adapt so the heuristic imperatives,1707.299,4.26
731
+ as a system is intrinsically adaptable,1709.46,4.86
732
+ because learning and curiosity are baked,1711.559,3.72
733
+ in,1714.32,2.82
734
+ number four the heuristic imperatives,1715.279,3.78
735
+ are inclusive now and all the,1717.14,3.6
736
+ experiments that I've done going back to,1719.059,4.86
737
+ gpt3 and now gpt4,1720.74,5.28
738
+ um language models already understand,1723.919,4.981
739
+ the spirit or the intention of the,1726.02,4.98
740
+ heuristic imperatives in that they,1728.9,4.139
741
+ should be all-inclusive,1731.0,4.08
742
+ um and so that makes them very very,1733.039,5.161
743
+ context dependent so for instance if you,1735.08,4.74
744
+ um plug in the heuristic comparatives to,1738.2,4.74
745
+ chat GPT and ask it about religion it,1739.82,5.4
746
+ will advocate for tolerance and creating,1742.94,4.26
747
+ space for people to explore religion on,1745.22,4.26
748
+ their own and if you further unpack that,1747.2,6.24
749
+ uh chat GPT and going back to gpt3 we'll,1749.48,6.72
750
+ say that things like individual autonomy,1753.44,4.44
751
+ is actually really important for,1756.2,3.42
752
+ Humanity to thrive,1757.88,4.44
753
+ uh they're scalable the here's the,1759.62,5.039
754
+ imperatives it used to just be very,1762.32,4.92
755
+ simply reduce suffering increase,1764.659,4.02
756
+ prosperity and increase understanding,1767.24,3.24
757
+ but I established the scope of in the,1768.679,2.821
758
+ universe,1770.48,2.76
759
+ because that preemptively answers a lot,1771.5,3.24
760
+ of questions,1773.24,3.299
761
+ um because it's not just a matter of,1774.74,4.02
762
+ okay let's just look at Earth or let's,1776.539,4.081
763
+ just look at one nation let's consider,1778.76,3.84
764
+ the entire universe so that is the scope,1780.62,3.779
765
+ of the imperatives so it's not just,1782.6,4.14
766
+ Globe Global it is universal,1784.399,4.681
767
+ and then finally uh the heuristic,1786.74,5.34
768
+ imperatives encourage transparency uh,1789.08,5.94
769
+ because it they incentivize open,1792.08,6.12
770
+ communication trust and autonomy but,1795.02,5.399
771
+ above and beyond that uh they're,1798.2,4.62
772
+ transparent in that if everyone abides,1800.419,3.841
773
+ by them everyone knows that everyone is,1802.82,3.3
774
+ playing by the same rules now that being,1804.26,4.019
775
+ said in the previous video I did address,1806.12,4.62
776
+ the Byzantine generals problem which is,1808.279,4.38
777
+ that you might have agents in the system,1810.74,4.5
778
+ that are either defective faulty or,1812.659,5.281
779
+ malicious and this is also addressed by,1815.24,4.86
780
+ the heuristic imperatives because what,1817.94,4.56
781
+ you will do is you will detect when an,1820.1,4.199
782
+ agent is not playing by the rules and,1822.5,3.179
783
+ you will track that and we'll talk about,1824.299,3.301
784
+ that in just a moment,1825.679,4.98
785
+ so the positive Nash equilibrium that,1827.6,6.299
786
+ the heuristic imperatives encourage have,1830.659,5.4
787
+ four basic criteria that I was able to,1833.899,4.441
788
+ think of one is mutual benefits it is,1836.059,4.74
789
+ mutually beneficial if all agents in the,1838.34,4.76
790
+ system or all participants in the system,1840.799,5.461
791
+ adhere to the heuristic imperatives,1843.1,5.62
792
+ meaning that the rising tide lifts all,1846.26,5.519
793
+ boats if we all work to reduce suffering,1848.72,4.679
794
+ if we all work to increase prosperity,1851.779,3.061
795
+ and we all work to increase,1853.399,4.441
796
+ understanding then we all benefit,1854.84,5.339
797
+ um and we get compounding returns trust,1857.84,3.959
798
+ and reputation,1860.179,3.181
799
+ um so having shared goals and,1861.799,4.74
800
+ transparency is a natural result of the,1863.36,4.62
801
+ heuristic imperatives as I just,1866.539,2.24
802
+ mentioned,1867.98,3.36
803
+ resilience and cooperation so this is,1868.779,5.561
804
+ this is an interesting outcome which is,1871.34,6.0
805
+ that for a for an equilibrium to be,1874.34,5.819
806
+ reached it has to be stable and so the,1877.34,4.26
807
+ heroes to comparatives create a,1880.159,3.961
808
+ resilient system in which,1881.6,4.679
809
+ um there's going to be mutual policing,1884.12,5.159
810
+ as well as uh some self-correcting,1886.279,5.28
811
+ behaviors which will unpack more in a in,1889.279,5.28
812
+ a slider too but it is resilient because,1891.559,6.48
813
+ it increa encourages collaboration and,1894.559,6.0
814
+ cooperation as well as self-regulation,1898.039,5.401
815
+ and policing and then finally ultimately,1900.559,4.801
816
+ long-term stability that is the entire,1903.44,4.68
817
+ point of a national equilibrium and the,1905.36,5.819
818
+ and a a desirable attractor state is one,1908.12,5.82
819
+ that is stable you don't want chaos or,1911.179,5.841
820
+ instability in the future,1913.94,3.08
821
+ so,1917.679,3.761
822
+ one thing that is becoming apparent,1919.399,3.78
823
+ especially as I watch the landscape,1921.44,4.44
824
+ change if you look at Auto GPT,1923.179,4.5
825
+ all kinds of people are going to be,1925.88,3.899
826
+ building their own autonomous systems,1927.679,3.901
827
+ and so what you're what we're creating,1929.779,6.181
828
+ is a decentralized AGI ecosystem,1931.58,7.5
829
+ and so when this happens when everyone,1935.96,5.16
830
+ can create an AGI with their own goals,1939.08,3.3
831
+ with their own imperatives with their,1941.12,3.299
832
+ own design and their own flaws we're,1942.38,3.36
833
+ going to end up with a really really,1944.419,4.441
834
+ kind of wild west dystopian you know,1945.74,5.939
835
+ chaotic world so,1948.86,4.86
836
+ one way to mitigate this,1951.679,3.901
837
+ decentralization drift is to adhere to,1953.72,4.439
838
+ the imperative uh sorry heuristic,1955.58,5.339
839
+ imperatives and as I mentioned there is,1958.159,5.341
840
+ there's Cooperative benefits right if,1960.919,4.561
841
+ you and everyone else you know working,1963.5,4.5
842
+ on autonomous AIS agrees on nothing else,1965.48,4.559
843
+ except the heuristic imperatives you'll,1968.0,4.32
844
+ have that framework in common and a lot,1970.039,4.14
845
+ of work will flow from that so the,1972.32,3.42
846
+ Cooperative benefits and this is this,1974.179,3.0
847
+ goes between,1975.74,3.179
848
+ um above and beyond individuals this,1977.179,3.541
849
+ includes corporations governments as,1978.919,3.38
850
+ well as militaries,1980.72,4.8
851
+ number two is Agi policing and,1982.299,6.401
852
+ self-regulation so if you have millions,1985.52,5.639
853
+ of agis that all agree on the heuristic,1988.7,3.78
854
+ imperatives even if they don't agree on,1991.159,3.421
855
+ anything else they will police each,1992.48,4.62
856
+ other to say hey we're gonna we're gonna,1994.58,6.24
857
+ look out for other agis Rogue agis that,1997.1,4.98
858
+ do not abide by the heuristic,2000.82,3.06
859
+ imperatives and we will we will,2002.08,4.079
860
+ collaborate to shut them down,2003.88,5.639
861
+ and then finally in this is uh in many,2006.159,5.341
862
+ experiments that I've done the heuristic,2009.519,4.861
863
+ imperatives result in self-regulation,2011.5,5.22
864
+ um within the AGI for instance one of,2014.38,4.5
865
+ the things that we're afraid of is once,2016.72,3.9
866
+ AGI has become so powerful that they can,2018.88,4.5
867
+ reprogram themselves or spawn copies or,2020.62,4.679
868
+ reprogram each other or otherwise get,2023.38,3.659
869
+ control of their source code that,2025.299,3.061
870
+ they're going to change their,2027.039,3.061
871
+ fundamental programming,2028.36,3.96
872
+ if you make the assumption that an AGI,2030.1,4.02
873
+ can change its fundamental programming,2032.32,3.599
874
+ spin up alternative copies of itself,2034.12,3.72
875
+ then you completely have lost control,2035.919,4.38
876
+ however in my experiments with the,2037.84,5.219
877
+ heuristic imperatives agis will shy away,2040.299,5.161
878
+ from creating copies of themselves or,2043.059,4.381
879
+ even modifying their own core,2045.46,4.439
880
+ programming out of fear of violating the,2047.44,4.679
881
+ heuristic imperatives and so between,2049.899,4.381
882
+ policing each other and self-regulation,2052.119,4.56
883
+ the heroist comparatives create a very,2054.28,5.42
884
+ powerful self-correcting environment,2056.679,5.881
885
+ reputation management number three is,2059.7,6.1
886
+ another thing where as I mentioned the,2062.56,6.119
887
+ agis will work to infer the objectives,2065.8,5.039
888
+ of all other agis whether or not it's,2068.679,3.901
889
+ known this goes back to the Byzantine,2070.839,4.201
890
+ generals problem where you don't know,2072.58,5.819
891
+ how another AGI is programmed they might,2075.04,4.859
892
+ have used the heuristic imperatives but,2078.399,2.7
893
+ they might have been improperly,2079.899,5.341
894
+ implemented or you know they're they uh,2081.099,6.121
895
+ you might have Rogue elements that are,2085.24,3.54
896
+ created without the heuristic,2087.22,3.24
897
+ imperatives or other objectives that are,2088.78,3.48
898
+ more destructive and then finally,2090.46,3.3
899
+ stakeholder pressure,2092.26,3.599
900
+ between the four categories of,2093.76,3.96
901
+ stakeholders that I already,2095.859,3.421
902
+ um Illustrated which is individuals,2097.72,3.2
903
+ corporations governments and militaries,2099.28,4.44
904
+ agis are going to be another stakeholder,2100.92,4.54
905
+ now whether or not you believe that,2103.72,3.3
906
+ they're conscious or sentient or have,2105.46,3.54
907
+ rights I don't really think that's,2107.02,3.54
908
+ relevant because they will be powerful,2109.0,3.78
909
+ entities in and of themselves before too,2110.56,5.039
910
+ long and so between those five types of,2112.78,4.92
911
+ stakeholders there will be there will be,2115.599,5.821
912
+ intra and Inter group pressure to,2117.7,5.7
913
+ conform and adhere to the heuristic,2121.42,3.84
914
+ imperatives,2123.4,4.26
915
+ okay so let's describe,2125.26,4.62
916
+ assuming all this works out and assuming,2127.66,3.78
917
+ that I'm right and assuming that I'm not,2129.88,4.14
918
+ crazy and that the trends continue and,2131.44,4.2
919
+ people are going to keep building the,2134.02,4.26
920
+ agis that they're working on what,2135.64,5.04
921
+ characteristics can we use to describe,2138.28,6.48
922
+ this desirable attractor state or Utopia,2140.68,6.06
923
+ so one is Universal Health and,2144.76,3.24
924
+ well-being,2146.74,3.24
925
+ with a few exceptions of people that are,2148.0,4.14
926
+ stuck in self-destructive patterns all,2149.98,3.96
927
+ humans want health and well and wellness,2152.14,4.8
928
+ that's pretty much a given,2153.94,6.72
929
+ number two again with with a few,2156.94,6.06
930
+ outliers,2160.66,4.86
931
+ um people want environmental restoration,2163.0,5.16
932
+ and sustainability,2165.52,4.98
933
+ um number three individual liberty and,2168.16,4.98
934
+ personal autonomy this is an intrinsic,2170.5,5.16
935
+ psychological need for all humans,2173.14,3.84
936
+ um number four knowledge and,2175.66,2.76
937
+ understanding,2176.98,3.0
938
+ um curiosity and learning are,2178.42,3.9
939
+ universally beneficial which is why,2179.98,5.46
940
+ education is one of the uh primary goals,2182.32,7.08
941
+ of of uh Nations and and unions of,2185.44,6.419
942
+ Nations such as the United Nations uh,2189.4,4.62
943
+ European union and so on and then,2191.859,4.921
944
+ finally peaceful coexistence uh nobody,2194.02,4.68
945
+ wants war and Chaos some people think,2196.78,3.96
946
+ it's cool you know watching Lex Friedman,2198.7,3.3
947
+ talk to various people they're like oh,2200.74,3.0
948
+ yeah there is something attractive about,2202.0,4.44
949
+ thinking about catastrophe and cataclysm,2203.74,4.379
950
+ we keep making disaster movies for,2206.44,3.84
951
+ instance but in terms of how we actually,2208.119,4.201
952
+ want to live we all want peaceful,2210.28,3.299
953
+ coexistence,2212.32,4.2
954
+ and so this desirable attractor State a,2213.579,5.881
955
+ shorthand is Utopia,2216.52,5.46
956
+ now I know I've painted a very Rosy,2219.46,5.04
957
+ picture as well as um you know presented,2221.98,6.42
958
+ some challenges so there are still a few,2224.5,6.599
959
+ challenges uh remaining that we need to,2228.4,3.84
960
+ address,2231.099,3.0
961
+ um and so one of those is misalignment,2232.24,4.74
962
+ and drift so even with the heuristic,2234.099,4.921
963
+ imperatives there might still be drift,2236.98,4.56
964
+ or misalignment intentionally or,2239.02,4.44
965
+ otherwise it could be that there's flaws,2241.54,5.039
966
+ in the implementation the code or maybe,2243.46,4.98
967
+ someone breaks them or says hey I'm,2246.579,3.181
968
+ going to do an experiment by deleting,2248.44,3.3
969
+ one of the heuristic imperatives that,2249.76,3.96
970
+ could destabilize the system,2251.74,4.2
971
+ second there can be unintended,2253.72,5.399
972
+ consequences so one thing that it seems,2255.94,4.98
973
+ like it will inevitably happen is that,2259.119,4.561
974
+ AGI systems are going to outstrip and,2260.92,4.679
975
+ outpace human intellect,2263.68,4.26
976
+ if that if that becomes the case and,2265.599,4.02
977
+ they might also adopt other languages,2267.94,4.2
978
+ right right now most of them communicate,2269.619,5.041
979
+ in English because English is the is the,2272.14,4.86
980
+ bulk of the training data but you know,2274.66,5.34
981
+ for instance what if the agis uh,2277.0,4.68
982
+ ultimately communicate with a language,2280.0,3.599
983
+ that we cannot comprehend or understand,2281.68,5.3
984
+ like binary or vectors or something else,2283.599,6.121
985
+ and then we can't even monitor what,2286.98,5.56
986
+ they're doing what my hope is that the,2289.72,5.58
987
+ agis as part of being trustworthy and,2292.54,5.1
988
+ transparent will choose to continue to,2295.3,5.279
989
+ communicate exclusively in English,2297.64,6.24
990
+ but that we we can't assume that that,2300.579,4.981
991
+ will be true,2303.88,3.68
992
+ um number three concentration of power,2305.56,6.299
993
+ now I did talk about how I believe that,2307.56,6.34
994
+ there were there are the the heuristic,2311.859,3.72
995
+ imperatives will create an incentive,2313.9,4.32
996
+ structure that results in you know,2315.579,5.04
997
+ sharing a power transparency so on and,2318.22,4.56
998
+ so forth that being said there is still,2320.619,4.441
999
+ a tremendous amount of desire to,2322.78,4.799
1000
+ concentrate power and especially on the,2325.06,4.44
1001
+ geopolitical stage,2327.579,4.081
1002
+ um there are nations out there with,2329.5,5.22
1003
+ mutually exclusive goals and as long as,2331.66,5.04
1004
+ Nations exist with mutually exclusive,2334.72,4.32
1005
+ goals or incompatible visions of how the,2336.7,4.32
1006
+ planet should be there will be,2339.04,4.079
1007
+ concentrations of power and those,2341.02,4.14
1008
+ concentrations of power will be pitted,2343.119,3.901
1009
+ against each other so that is not,2345.16,3.12
1010
+ something that the heuristic imperatives,2347.02,3.3
1011
+ intrinsically address but that is a,2348.28,5.22
1012
+ reality of what exists today which can,2350.32,5.7
1013
+ destabilize the system so in the long,2353.5,3.839
1014
+ run,2356.02,3.839
1015
+ I think part of the ideal State the Nash,2357.339,4.5
1016
+ equilibrium is that power is not,2359.859,4.321
1017
+ concentrated anywhere but we need to,2361.839,4.621
1018
+ overcome several major barriers as a,2364.18,4.2
1019
+ species before we can achieve that,2366.46,4.86
1020
+ number four is social resistance public,2368.38,5.699
1021
+ skepticism mistrust and ignorance is one,2371.32,4.259
1022
+ of the greatest enemies right now which,2374.079,3.421
1023
+ is why I am doing this work which is why,2375.579,4.681
1024
+ I chose YouTube as my primary platform,2377.5,5.579
1025
+ to disseminate my information,2380.26,6.06
1026
+ number five malicious use again as long,2383.079,5.76
1027
+ as there are malicious actors there,2386.32,3.66
1028
+ might be,2388.839,3.301
1029
+ um deliberate deployments of AGI that,2389.98,4.56
1030
+ are harmful which could destabilize the,2392.14,4.14
1031
+ system,2394.54,3.72
1032
+ and finally I do need to address this as,2396.28,3.96
1033
+ well the heuristic imperatives are a,2398.26,4.44
1034
+ necessary Foundation of this utopic,2400.24,5.879
1035
+ outcome this this uh beneficient uh,2402.7,5.52
1036
+ beneficial sorry a tractor state that,2406.119,3.841
1037
+ we're looking for but they do not,2408.22,4.26
1038
+ represent a complete solution there are,2409.96,4.08
1039
+ a few other things that are needed in,2412.48,3.32
1040
+ order to achieve this outcome one,2414.04,4.559
1041
+ collaboration and open dialogue so,2415.8,4.779
1042
+ research is individuals corporations and,2418.599,3.901
1043
+ governments all need to work together at,2420.579,5.04
1044
+ a global scale anything short of global,2422.5,6.68
1045
+ collaboration and cooperation is,2425.619,6.361
1046
+ could very well result in a negative,2429.18,4.3
1047
+ outcome and this is one of the things,2431.98,3.3
1048
+ that um Liv and other people talk about,2433.48,4.32
1049
+ when talking about Malik is that it is a,2435.28,3.839
1050
+ uh what do they call it I think a,2437.8,3.18
1051
+ collaboration failure or a signal,2439.119,3.601
1052
+ failure I can't remember exactly how,2440.98,3.42
1053
+ they describe it but essentially,2442.72,4.139
1054
+ collaboration is the antidote and open,2444.4,4.92
1055
+ dialogue is the antidote to the,2446.859,5.22
1056
+ ignorance and other negative signals and,2449.32,4.62
1057
+ noise that contribute to the Malik,2452.079,3.061
1058
+ problem,2453.94,3.36
1059
+ number two is regulatory Frameworks and,2455.14,5.16
1060
+ oversight again it's not just a matter,2457.3,6.02
1061
+ of coming together it is that there are,2460.3,5.34
1062
+ institutional changes that need to,2463.32,4.6
1063
+ happen such as legislation,2465.64,5.4
1064
+ um councils and and Summits and other,2467.92,6.72
1065
+ kinds of meetings and and Investments,2471.04,5.22
1066
+ that need to happen at an Institutional,2474.64,4.32
1067
+ level not just communication and and,2476.26,5.099
1068
+ dialogue but the Frameworks the,2478.96,4.619
1069
+ oversights those also need to be,2481.359,4.561
1070
+ implemented at number three education,2483.579,4.801
1071
+ and awareness as I just mentioned public,2485.92,4.679
1072
+ awareness and and understanding is,2488.38,5.52
1073
+ presently insufficient to overcome the,2490.599,4.681
1074
+ negative attractor states that we're,2493.9,3.3
1075
+ heading towards and number four,2495.28,4.62
1076
+ continuous monitoring and Improvement,2497.2,4.32
1077
+ um this is not a solution that we solve,2499.9,3.959
1078
+ once it is an ongoing thing just like,2501.52,3.72
1079
+ how you don't just pass internet,2503.859,3.121
1080
+ regulations and then you're done you go,2505.24,3.96
1081
+ home forever you continuously monitor,2506.98,4.859
1082
+ the changing Dynamic environment so that,2509.2,5.46
1083
+ you can course correct as you go that is,2511.839,4.381
1084
+ going to be necessary necessary forever,2514.66,4.5
1085
+ with AGI it's not going to go away just,2516.22,4.92
1086
+ like you know the EPA the Environmental,2519.16,3.959
1087
+ Protection Agency didn't just you know,2521.14,4.56
1088
+ create a set of guidelines and you know,2523.119,5.361
1089
+ we're done they pack it up no the EPA,2525.7,5.04
1090
+ continuously does stress tests and,2528.48,4.48
1091
+ pressure tests and measurements all over,2530.74,4.14
1092
+ the nation to make sure that the,2532.96,3.6
1093
+ policies are effective and then of,2534.88,2.64
1094
+ course as they gain more information,2536.56,3.48
1095
+ those policies change we will need the,2537.52,5.28
1096
+ same kind of vigilance applied to AGI,2540.04,6.62
1097
+ systems and the AGI ecosystem,2542.8,3.86
1098
+ so that was a lot thank you for watching,2547.42,5.28
1099
+ um that's about all I have today uh not,2550.359,4.561
1100
+ that this was not much but thanks,2552.7,5.159
1101
+ anyways and um yeah I hope that this,2554.92,4.8
1102
+ helped and I hope that it gives you a,2557.859,3.301
1103
+ little bit more confidence in the,2559.72,4.82
1104
+ direction that we're going thanks,2561.16,3.38
The Age of Autonomous AI Dozens of Papers and Projects plus my solution to the Alignment Problem_transcript.csv ADDED
@@ -0,0 +1,710 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,1.14,4.02
3
+ with another video I wasn't really,3.48,3.419
4
+ planning on making this video but I,5.16,3.18
5
+ realized that things are accelerating,6.899,4.141
6
+ and um there is a sense of urgency,8.34,4.2
7
+ um so before we get started I just want,11.04,3.42
8
+ to say that today's video is sponsored,12.54,4.02
9
+ by all of you,14.46,5.399
10
+ um my patreon supporters make the my,16.56,6.12
11
+ continuous work possible so if you want,19.859,5.16
12
+ to continue to incentivize this Behavior,22.68,5.04
13
+ Uh consider jumping over on patreon and,25.019,4.801
14
+ if you sign up for the higher tiers um,27.72,4.98
15
+ you know I'm willing to chat with you,29.82,6.66
16
+ and even jump on Zoom calls once or,32.7,6.24
17
+ twice a month at the higher tiers uh,36.48,4.32
18
+ just in order to talk about whatever you,38.94,3.9
19
+ want to talk about some people ask me,40.8,4.86
20
+ about you know what's the current news,42.84,4.62
21
+ um some people ask for help with prompt,45.66,4.079
22
+ engineering all kinds of stuff I've even,47.46,4.5
23
+ had people ask me just about like how do,49.739,5.421
24
+ I adapt to this changing landscape,51.96,6.48
25
+ obviously I'm not a therapist but I can,55.16,5.02
26
+ at least share my perspective on this,58.44,4.2
27
+ stuff okay so without further Ado let's,60.18,6.06
28
+ jump in if you go to GitHub trending,62.64,6.06
29
+ you'll see a couple of very interesting,66.24,5.16
30
+ patterns the top four trending,68.7,4.919
31
+ repositories right now all have to do,71.4,5.399
32
+ with large language models,73.619,4.801
33
+ um and then you go down a little bit,76.799,4.261
34
+ further and there's even more generative,78.42,4.98
35
+ AI so there's a code translator there's,81.06,7.08
36
+ Moki diffusion llama so obviously we are,83.4,7.62
37
+ in an inflection point and today we're,88.14,4.88
38
+ going to talk about amongst other things,91.02,5.7
39
+ fully autonomous AI so if you're not,93.02,6.76
40
+ aware Auto GPT is all the rage right now,96.72,5.28
41
+ everyone is talking about it everyone is,99.78,6.0
42
+ using it and adapting it and,102.0,8.28
43
+ the the tldr is this is the first,105.78,7.32
44
+ production like fully fledged cognitive,110.28,4.32
45
+ architecture there's plenty of other,113.1,4.5
46
+ people working on very similar stuff,114.6,7.62
47
+ um but the Advent of gpt4 uh as well as,117.6,6.9
48
+ all the other work that people are doing,122.22,3.6
49
+ um basically means that cognitive,124.5,3.84
50
+ architecture is here uh fully autonomous,125.82,5.58
51
+ AI is here now the question is only what,128.34,4.74
52
+ is it capable of what are its,131.4,3.96
53
+ limitations and how much does it cost to,133.08,3.299
54
+ run,135.36,2.28
55
+ um if you I'm not going to do a full,136.379,3.661
56
+ demo of this but you just Google it or,137.64,4.86
57
+ you know search YouTube for auto GPT you,140.04,3.9
58
+ will see that there are demos out there,142.5,3.959
59
+ already this can do any number of things,143.94,5.519
60
+ so this is why there's a sense of,146.459,4.5
61
+ urgency because once you have an,149.459,3.42
62
+ autonomous AI,150.959,3.721
63
+ um this is this one is semi-autonomous,152.879,4.08
64
+ it is gated so that it asks the user for,154.68,4.919
65
+ permission but it's only a very small,156.959,6.201
66
+ step to go from here to fully autonomous,159.599,6.36
67
+ which is why I do my work with the,163.16,4.24
68
+ heuristic imperatives and we'll talk,165.959,3.121
69
+ about alignment once we get a little bit,167.4,4.08
70
+ further into the video because there's,169.08,4.379
71
+ quite a few papers out there that talk,171.48,4.02
72
+ about alignment and I want to show you,173.459,3.961
73
+ that that my work is not quite so,175.5,4.379
74
+ eccentric that there are people in The,177.42,4.02
75
+ Establishment talking in this direction,179.879,3.781
76
+ I just happen to be the first one to,181.44,4.56
77
+ propose a comprehensive solution that I,183.66,4.68
78
+ can also demonstrate,186.0,5.28
79
+ um so yeah Auto GPT is out it's only,188.34,4.8
80
+ going to get faster more powerful and,191.28,5.879
81
+ better as uh new models come out and as,193.14,6.06
82
+ open source models that are distilled,197.159,3.961
83
+ and quantized come out and we'll talk,199.2,3.619
84
+ about those in just a minute,201.12,5.399
85
+ Microsoft is doing Jarvis which Jarvis,202.819,4.78
86
+ if you're not familiar with the,206.519,3.541
87
+ character was voiced by Paul Bettany in,207.599,4.881
88
+ Iron Man and the MCU,210.06,6.0
89
+ and this has some other similar uh fully,212.48,4.899
90
+ autonomous capabilities that they're,216.06,3.66
91
+ working on task planning model selection,217.379,4.561
92
+ task execution and response generation,219.72,5.36
93
+ again this is a cognitive architecture,221.94,5.7
94
+ and the fact that it's being sponsored,225.08,5.98
95
+ and run by Microsoft is that tells you,227.64,6.179
96
+ the direction that the industry is going,231.06,5.34
97
+ um now one thing here is that model,233.819,5.221
98
+ selection so what this implies is that,236.4,4.38
99
+ depending on the level of sophistication,239.04,4.259
100
+ of a task or how difficult it is it's,240.78,3.72
101
+ going to be able to choose different,243.299,2.281
102
+ models,244.5,3.44
103
+ now during a Discord call that I had,245.58,5.04
104
+ with the cognitive AI lab Discord which,247.94,3.999
105
+ if you want to join link is in the,250.62,3.899
106
+ description we were talking about how,251.939,4.26
107
+ important it will be to choose models,254.519,3.96
108
+ because the lightest weight models are,256.199,4.981
109
+ literally thousands of times cheaper and,258.479,5.22
110
+ smaller than the largest models and so,261.18,5.22
111
+ humans we do this too where we rely on,263.699,5.581
112
+ intuition and habit and we only engage,266.4,4.859
113
+ our executive function if something is,269.28,4.74
114
+ really hard and our first attempts fail,271.259,7.321
115
+ excuse me and so if um if cognitive,274.02,6.36
116
+ architectures go the same way you're,278.58,3.3
117
+ going to be able to run most of it,280.38,3.539
118
+ locally and then of course as large,281.88,3.84
119
+ language models become more quantized,283.919,4.381
120
+ more efficient and as the hardware in,285.72,5.4
121
+ our laptops phones and desktops become,288.3,4.98
122
+ more powerful eventually before too long,291.12,3.84
123
+ we're going to be able to run something,293.28,5.82
124
+ equal to gpt4 and better locally so we,294.96,6.9
125
+ are we are now entering as of March and,299.1,5.819
126
+ April 2023 entering the era of fully,301.86,6.899
127
+ autonomous AI which is a much more,304.919,7.201
128
+ useful term than AGI because AGI is just,308.759,5.521
129
+ an arbitrary thing this is autonomous,312.12,4.62
130
+ now the only question is again how smart,314.28,4.919
131
+ is it how fast is it what is it capable,316.74,4.92
132
+ of and what is it not capable of yet,319.199,4.56
133
+ so those are the two big repos that I,321.66,4.259
134
+ wanted to point out and they're both the,323.759,4.681
135
+ top of trending so that tells you that,325.919,3.72
136
+ they are getting the most attention,328.44,2.46
137
+ right now so if you want to jump into,329.639,4.441
138
+ the conversation Now's the Time,330.9,5.76
139
+ um okay so moving right along if you,334.08,4.26
140
+ want something that's a little bit more,336.66,4.259
141
+ practical and Hands-On one of my patreon,338.34,5.16
142
+ supporters told me about joseki which,340.919,5.161
143
+ joseki is basically devops but for AI,343.5,4.62
144
+ and language models,346.08,4.2
145
+ um so it gives you an end-to-end,348.12,3.78
146
+ pipeline,350.28,4.259
147
+ um to create basically cognitive,351.9,4.68
148
+ architectures it includes all kinds of,354.539,5.1
149
+ tools and apis and it does take a while,356.58,4.619
150
+ to get familiar with if you're not,359.639,4.141
151
+ already familiar with it but when you,361.199,3.72
152
+ look at the fact that it can,363.78,4.259
153
+ automatically generate apis,364.919,6.481
154
+ um and you you plug this into the AI and,368.039,5.821
155
+ the AI can design itself and redesign,371.4,3.9
156
+ its own infrastructure and say hey I,373.86,2.94
157
+ need an API that does this let's go,375.3,3.56
158
+ design that microservice,376.8,5.339
159
+ this kind of platform is probably going,378.86,6.459
160
+ to be pretty important for building not,382.139,5.581
161
+ just autonomous you know Bots like this,385.319,6.741
162
+ but fully fledged uh corporate business,387.72,7.44
163
+ platforms and so what I mean by that is,392.06,5.139
164
+ okay you might be thinking great like,395.16,4.92
165
+ you know you can have Auto GPT which can,397.199,6.241
166
+ write Twitter and emails for you but if,400.08,4.619
167
+ you're thinking about this from an,403.44,3.36
168
+ Enterprise perspective from a devops,404.699,5.94
169
+ perspective it can plug into your cyber,406.8,6.239
170
+ security Suites and monitor that it can,410.639,4.741
171
+ monitor your ticket cues it can talk to,413.039,4.38
172
+ your marketing team so one example that,415.38,4.5
173
+ I thought of was like okay let's say you,417.419,5.4
174
+ set up a marketing brain and then it,419.88,5.819
175
+ plugs into your slack or teams and then,422.819,4.801
176
+ you have a marketing bot or actually,425.699,3.481
177
+ multiple marketing Bots that you can,427.62,3.84
178
+ talk to that they're going to go out and,429.18,4.26
179
+ do research on the internet you know,431.46,3.98
180
+ look at your competitors watch videos,433.44,5.46
181
+ generate images Market test stuff and,435.44,5.56
182
+ basically your marketing team will just,438.9,5.4
183
+ be driving the behavior of the Bots and,441.0,5.22
184
+ saying like hey you know hey let's do,444.3,3.66
185
+ this and then it'll go and do the tasks,446.22,3.96
186
+ and kind of report back and that and,447.96,3.66
187
+ this might sound like science fiction,450.18,2.88
188
+ but this is actually what's happening,451.62,2.76
189
+ right now this is what people are,453.06,4.56
190
+ actually working on right now,454.38,4.92
191
+ um I am no longer the crazy person,457.62,3.12
192
+ shouting into the void saying this is,459.3,2.94
193
+ coming because now it has now it has,460.74,2.82
194
+ arrived,462.24,2.82
195
+ um okay and this one is actually,463.56,2.94
196
+ alignment so let me move that down,465.06,3.0
197
+ further,466.5,4.139
198
+ um but yeah so joseki it's joseki.org,468.06,5.22
199
+ check that out this is this is another,470.639,6.721
200
+ platform so one thing that uh that these,473.28,6.479
201
+ these interoperable platforms offer that,477.36,3.779
202
+ perhaps,479.759,4.861
203
+ um the auto GPT and Jarvis don't is it's,481.139,6.541
204
+ a paradigm of okay let's let's think of,484.62,6.419
205
+ Jarvis and auto GPT as self-contained,487.68,6.66
206
+ agents that have you know extensibility,491.039,6.181
207
+ and have their own tools whereas a,494.34,4.919
208
+ platform like jaseki says let's embed,497.22,4.5
209
+ this in an organization and it'll be,499.259,5.34
210
+ part of a pipeline or or a broader,501.72,5.52
211
+ ecosystem so it's basically is it,504.599,5.641
212
+ centralized or decentralized and both,507.24,6.539
213
+ are coming mark my words both kinds of,510.24,6.12
214
+ autonomous AI is coming I'm working on,513.779,4.62
215
+ uh one another one of my patreon,516.36,4.02
216
+ supporters reached out to me with an,518.399,4.38
217
+ idea of kind of a hive mind how do you,520.38,5.16
218
+ organize an arbitrary number of bots,522.779,5.941
219
+ that have different programs well you,525.54,4.5
220
+ create an API and you create a,528.72,3.36
221
+ discussion space for the for those spots,530.04,4.919
222
+ so we're working on hammering that out,532.08,5.52
223
+ um and yeah like this is this is It's,534.959,5.82
224
+ we're entering into a wild time,537.6,5.94
225
+ okay so I've talked about efficiency and,540.779,4.201
226
+ some of the other,543.54,3.0
227
+ um things that are coming such as,544.98,2.88
228
+ quantization,546.54,2.64
229
+ um and and we're going to start talking,547.86,2.82
230
+ about those now,549.18,6.18
231
+ so some of you have seen this post where,550.68,8.46
232
+ um basically window size is the is the,555.36,8.039
233
+ biggest limitation uh right now but what,559.14,5.4
234
+ if we come up with a different,563.399,3.721
235
+ architecture like an RNN or you know,564.54,5.1
236
+ lstn or you know bring back some some,567.12,5.64
237
+ other kinds of architectures that allow,569.64,5.04
238
+ you to have a section essentially an,572.76,5.519
239
+ unlimited window an infinite window,574.68,6.42
240
+ um so that's one thing that's coming we,578.279,4.321
241
+ don't know you don't need to see those,581.1,2.52
242
+ ads,582.6,2.82
243
+ um so that's that's one idea that's,583.62,5.52
244
+ coming uh we'll see if it pans out I,585.42,5.34
245
+ suspect that you're gonna get um,589.14,3.36
246
+ diminishing returns with the more that,590.76,4.5
247
+ it reads because other uh models like,592.5,4.92
248
+ Google's Universal sentence encoder that,595.26,3.9
249
+ can read an infinite amount already but,597.42,3.9
250
+ you get what's called dilution where the,599.16,5.52
251
+ or semantic dilution where the longer,601.32,5.639
252
+ excuse me uh I have allergies I,604.68,4.32
253
+ apologize where the longer the text that,606.959,4.021
254
+ it reads the more generic the more,609.0,4.08
255
+ dilute the vector the embedding becomes,610.98,4.919
256
+ so like if you read an infinitely long,613.08,5.46
257
+ any any like you know arbitrarily long,615.899,5.221
258
+ text the the embedding the vector is,618.54,4.979
259
+ going to Trend towards kind of a,621.12,4.56
260
+ meaningless Middle Ground,623.519,3.601
261
+ um they might come up with ways around,625.68,2.58
262
+ that,627.12,3.96
263
+ um but basically you're compressing an,628.26,5.1
264
+ arbitrary amount of text into,631.08,5.4
265
+ a fixed width Vector so you're going to,633.36,5.159
266
+ lose some information,636.48,5.58
267
+ um at least until the math changes uh,638.519,5.581
268
+ the way that it's represented now that,642.06,5.64
269
+ being said You Know da Vinci had a 12,644.1,7.08
270
+ 000 Dimension embedding I'm sure gpt4,647.7,6.0
271
+ has a has a much larger one you know,651.18,5.7
272
+ these are not very large matrices we,653.7,6.96
273
+ could go up to very very large matrices,656.88,6.06
274
+ um like that that space is is still,660.66,4.44
275
+ being explored because like okay 12 000,662.94,4.2
276
+ Dimensions what if you what if you know,665.1,3.78
277
+ in a year or two we have 12 million,667.14,3.72
278
+ Dimension embeddings,668.88,4.32
279
+ um that's a lot more information and a,670.86,4.74
280
+ lot more Nuance that you can record okay,673.2,4.86
281
+ so I mentioned quantization,675.6,5.72
282
+ so the Llama C plus C plus plus,678.06,5.94
283
+ these things are getting down to like,681.32,5.44
284
+ crazy small right a 30 billion uh,684.0,4.68
285
+ parameter model only needs six gig of,686.76,5.46
286
+ RAM right okay that is that can run on,688.68,5.58
287
+ commodity Hardware,692.22,5.16
288
+ um so all the little Nifty tricks and,694.26,4.68
289
+ stuff that people are finding whether,697.38,3.6
290
+ it's distillation quantization and and,698.94,4.44
291
+ so on running with low Precision you,700.98,4.14
292
+ know end eight instead of uh floating,703.38,4.62
293
+ Point 32 all kinds of stuff is being,705.12,5.459
294
+ discovered uh and so what one of the,708.0,5.16
295
+ trends that we're seeing is that when,710.579,4.861
296
+ you look at the fact that auto GPT and,713.16,4.5
297
+ Jarvis will have model selection,715.44,3.899
298
+ probably what's going to happen is,717.66,3.54
299
+ you're going to have dedicated models,719.339,4.261
300
+ that are that are cognitive units that,721.2,4.44
301
+ are good at working on specific kinds of,723.6,4.859
302
+ tasks right so when you break it down,725.64,6.48
303
+ into several cognitive behaviors such as,728.459,4.801
304
+ in this case,732.12,3.6
305
+ um task planning model selection and,733.26,5.28
306
+ task execution you can have smaller,735.72,5.34
307
+ models that are purpose built for those,738.54,4.859
308
+ particular things and this actually goes,741.06,4.74
309
+ to my work on the heuristic imperatives,743.399,5.18
310
+ which was an attempt to,745.8,5.34
311
+ fine-tune and distill that function so,748.579,5.2
312
+ that you can have a moral module a moral,751.14,4.92
313
+ framework that will just give you a,753.779,4.68
314
+ really quick response of okay this is,756.06,4.019
315
+ how you reduce the suffering in this,758.459,3.301
316
+ situation this is how you increase,760.079,3.301
317
+ prosperity and increase understanding in,761.76,3.36
318
+ this situation and then you can also use,763.38,4.68
319
+ that same model to self-evaluate in past,765.12,4.92
320
+ behaviors which can then be used for,768.06,5.04
321
+ reinforcement learning in the future,770.04,4.32
322
+ um and then that model can improve,773.1,3.72
323
+ itself through uh self-labeling data,774.36,4.02
324
+ which we will get to because there are,776.82,3.079
325
+ papers out there for that topic now,778.38,4.019
326
+ anyways point being is I just wanted to,779.899,4.361
327
+ share all of that,782.399,3.301
328
+ um another interesting thing that popped,784.26,3.0
329
+ up on my feed,785.7,3.66
330
+ um drug Discovery is accelerating,787.26,5.1
331
+ because of this uh all of this,789.36,5.159
332
+ generative stuff this goes back to,792.36,5.82
333
+ um uh uh Alpha fold and all the,794.519,6.301
334
+ downstream Technologies,798.18,6.36
335
+ um so we are rapidly approaching,800.82,5.639
336
+ um kind of The Snowball Effect and,804.54,5.58
337
+ actually Stanford had a um a paper that,806.459,5.94
338
+ was just published let me show you on I,810.12,5.519
339
+ posted it here on my community so the,812.399,5.101
340
+ Stanford paper,815.639,3.781
341
+ page not found,817.5,3.72
342
+ well darn,819.42,4.859
343
+ okay anyways it's uh the Stanford AI,821.22,4.32
344
+ index,824.279,3.721
345
+ um I guess the link broke uh or they,825.54,4.26
346
+ took it down or something but anyways,828.0,4.62
347
+ they point out that um AI is actually,829.8,4.56
348
+ one of the biggest contributors to,832.62,4.62
349
+ science as of 2022 so we're at a Tipping,834.36,7.2
350
+ Point where AI is already taking over a,837.24,6.06
351
+ tremendous amount of the cognitive load,841.56,5.04
352
+ of research and it's accelerating so in,843.3,4.74
353
+ my previous videos where I talked about,846.6,3.06
354
+ the singularity and stuff and I talked,848.04,4.62
355
+ about Job displacement and um basically,849.66,5.64
356
+ unlimited cognitive labor we are already,852.66,5.82
357
+ seeing the removal of the of the human,855.3,5.58
358
+ brain's limitations in terms of,858.48,4.799
359
+ advancing science,860.88,5.1
360
+ um okay so then that's great that's all,863.279,6.481
361
+ data and text so what happens when these,865.98,6.72
362
+ models uh get into the real world so,869.76,5.639
363
+ maybe you missed this but Facebook is,872.7,4.92
364
+ working on robots,875.399,4.44
365
+ um and these are robots that can watch,877.62,3.959
366
+ and observe humans and then copy their,879.839,5.101
367
+ behavior uh yeah so that's coming and,881.579,4.801
368
+ then I don't know if you also saw it but,884.94,2.94
369
+ Tesla had a demonstration of their,886.38,3.12
370
+ Optimus Prime model or whatever they,887.88,3.12
371
+ called it I think it's just the Optimus,889.5,3.779
372
+ bot but it was able to do some pretty,891.0,5.16
373
+ good manual dexterity stuff,893.279,6.3
374
+ um yeah so fully autonomous robots are,896.16,5.82
375
+ also coming hot on the heels of fully,899.579,5.461
376
+ autonomous agents so this is all coming,901.98,5.76
377
+ it's much much closer,905.04,3.419
378
+ um,907.74,2.52
379
+ one thing that was kind of funny is of,908.459,5.161
380
+ course it was Italy Italy band chat GPT,910.26,4.68
381
+ um they didn't fully ban it they gave,913.62,4.019
382
+ open AI 20 days to respond who knows,914.94,4.139
383
+ what will happen,917.639,3.601
384
+ um but they did say that that chat GPT,919.079,5.221
385
+ runs a foul of gdpr probably who knows,921.24,5.339
386
+ we'll see how that plays out,924.3,4.26
387
+ um immediately after I published a video,926.579,5.041
388
+ last week someone pointed out that uh,928.56,6.66
389
+ that the UK actually has the the world's,931.62,6.18
390
+ first somewhat comprehensive framework,935.22,4.799
391
+ about how to approach AI,937.8,3.479
392
+ um you know safety security and,940.019,2.521
393
+ robustness transparency and,941.279,3.601
394
+ explainability fairness accountability,942.54,4.02
395
+ in governments and contestability and,944.88,5.16
396
+ redress okay great I don't know how,946.56,5.1
397
+ that's going to be enforceable I,950.04,3.06
398
+ personally don't think it is especially,951.66,2.76
399
+ now that the genie is out of the bottle,953.1,3.239
400
+ which is why I do my alignment research,954.42,4.62
401
+ and so my goal is to encourage everyone,956.339,6.12
402
+ and convince everyone that giving your,959.04,5.7
403
+ autonomous robots and your autonomous AI,962.459,5.041
404
+ agents my heuristic imperatives is the,964.74,5.7
405
+ best way to in enter into a positive,967.5,5.399
406
+ beneficial Nash equilibrium where,970.44,4.38
407
+ basically if everyone knows that,972.899,3.421
408
+ everyone else is using the heroes to,974.82,3.54
409
+ comparatives then nobody will change,976.32,3.959
410
+ their uh their strategy nobody will,978.36,3.599
411
+ change their behavior and that this will,980.279,5.101
412
+ create a more utopic attractor State I,981.959,5.281
413
+ have another video that I'm working on,985.38,4.8
414
+ talking about the path to Utopia and the,987.24,4.86
415
+ and the singularity at Tractor States so,990.18,3.36
416
+ look for that coming out in the coming,992.1,3.239
417
+ days,993.54,3.84
418
+ um but yeah so this white paper I looked,995.339,3.781
419
+ at it it's pretty dry,997.38,4.5
420
+ um this little uh blog post that the UK,999.12,5.459
421
+ published is pretty uh you know it it,1001.88,5.22
422
+ it's all good in theory we have no idea,1004.579,4.32
423
+ how well they're going to execute it,1007.1,6.419
424
+ uh okay so another thing is because of,1008.899,6.661
425
+ open AI surging ahead because of,1013.519,4.141
426
+ Microsoft surging ahead,1015.56,4.56
427
+ um and a lot of this work becoming uh,1017.66,4.02
428
+ sequestered,1020.12,3.18
429
+ um you know Google is doing their own,1021.68,3.54
430
+ stuff nvidia's doing their own stuff,1023.3,3.86
431
+ with Nemo China's doing their own stuff,1025.22,6.119
432
+ uh there is a an idea of basically,1027.16,8.5
433
+ creating a a CERN like entity for uh the,1031.339,7.021
434
+ creation of of large-scale AI so it'll,1035.66,4.38
435
+ be intrinsically open source so that we,1038.36,3.12
436
+ all get access to the most powerful,1040.04,3.419
437
+ models I don't know if this is going to,1041.48,4.319
438
+ be necessary but I'm glad that this this,1043.459,5.22
439
+ petition exists you see it's only got 13,1045.799,6.541
440
+ 000 signatures out of ten thousand so my,1048.679,6.421
441
+ videos regularly get 30 to 50 000,1052.34,6.24
442
+ um uh views so if you could like if you,1055.1,6.3
443
+ take a look at this and jump over and,1058.58,4.74
444
+ sign it if you want,1061.4,3.42
445
+ um I think it's a good idea and I think,1063.32,4.859
446
+ it's worth worth exploring,1064.82,5.94
447
+ um and it's it's sponsored by Leon so,1068.179,4.021
448
+ the large-scale artificial intelligence,1070.76,3.0
449
+ open network,1072.2,3.3
450
+ um I personally think that this would be,1073.76,3.9
451
+ a good good direction to go,1075.5,5.16
452
+ um so yeah let's you know take a look at,1077.66,4.32
453
+ it obviously I can't tell you what to do,1080.66,3.84
454
+ but now you know,1081.98,5.4
455
+ um all right so then there's this paper,1084.5,5.4
456
+ that came out so I was talking about so,1087.38,4.14
457
+ this the rest of the video is basically,1089.9,4.26
458
+ going to be about alignment,1091.52,4.8
459
+ um and so in this case this paper again,1094.16,4.259
460
+ relatively dry,1096.32,4.92
461
+ um but it talks about using,1098.419,6.361
462
+ um you know while while many models are,1101.24,5.28
463
+ are tested with reinforcement learning,1104.78,4.38
464
+ with human feedback what if you give it,1106.52,4.26
465
+ then the instruction to morally,1109.16,3.42
466
+ self-correct,1110.78,3.899
467
+ um and so in this case it was uh,1112.58,4.02
468
+ published by anthropic so they are,1114.679,6.961
469
+ proving that models can self-correct if,1116.6,7.56
470
+ given the correct instructions which is,1121.64,4.32
471
+ what where my heuristic imperatives come,1124.16,5.28
472
+ in so in these in this case they um try,1125.96,5.76
473
+ and do they try and reduce harm which,1129.44,5.94
474
+ reduce harm reduction is actually a,1131.72,5.579
475
+ well-established,1135.38,4.679
476
+ um uh model in public health I know I,1137.299,4.801
477
+ said it in the past and you know it got,1140.059,3.901
478
+ under some people's skin so whatever,1142.1,4.38
479
+ but anyway so they have some,1143.96,6.36
480
+ some pretty good uh uh metrics here and,1146.48,6.18
481
+ demonstrate that hey when you instruct,1150.32,5.219
482
+ the model to avoid these harmful,1152.66,5.04
483
+ behaviors it is able to evaluate itself,1155.539,4.14
484
+ and do so and of course with the,1157.7,4.32
485
+ reflection paper uh it has already,1159.679,4.5
486
+ demonstrated that gpt4 can look at the,1162.02,4.08
487
+ performance of its own code and improve,1164.179,4.141
488
+ that so the fact that it can morally,1166.1,4.98
489
+ self-improve with self-evaluation and,1168.32,6.12
490
+ self-attention also reinforces this,1171.08,6.06
491
+ thing now I've known this since gpt3 if,1174.44,4.08
492
+ you read my books which I don't expect,1177.14,3.72
493
+ everyone to do that but I demonstrated,1178.52,5.94
494
+ this going back to 2021 where these,1180.86,6.84
495
+ models have the ability to to monitor,1184.46,5.52
496
+ their own behavior and evaluate their,1187.7,4.08
497
+ own behavior and that information,1189.98,4.5
498
+ becomes a signal that it can then use to,1191.78,5.04
499
+ create a self-sustaining virtuous cycle,1194.48,4.5
500
+ rather than a vicious cycle and so we'll,1196.82,3.719
501
+ talk about virtuous versus Vicious,1198.98,4.02
502
+ Cycles in just a moment and again I'll,1200.539,4.801
503
+ talk about them a little bit more coming,1203.0,4.679
504
+ up so how on the heels of this paper,1205.34,5.1
505
+ about moral self-correction in large,1207.679,5.281
506
+ language models someone sent me a link,1210.44,5.94
507
+ to this simulators which was this was,1212.96,5.04
508
+ written by I think the folks at deepmind,1216.38,2.94
509
+ I don't remember,1218.0,3.84
510
+ but anyways it basically says the same,1219.32,5.7
511
+ thing self-supervision so this is a kind,1221.84,5.76
512
+ of self-supervision where given the,1225.02,3.96
513
+ intrinsic abilities of the language,1227.6,4.319
514
+ model it can self-supervise if you give,1228.98,5.16
515
+ it the good objectives,1231.919,3.721
516
+ um and in this one they basically say,1234.14,3.24
517
+ the same thing where self-supervision,1235.64,3.48
518
+ might be,1237.38,5.96
519
+ um the the best way to proceed for AGI,1239.12,7.38
520
+ and they talk about you know if you can,1243.34,5.38
521
+ run simulations in your head blah blah,1246.5,5.58
522
+ blah blah again it's all pretty dry but,1248.72,5.94
523
+ um let me see what's this deep mind no I,1252.08,3.66
524
+ don't know I don't remember who wrote,1254.66,3.42
525
+ this but point being is lots and lots of,1255.74,3.72
526
+ people are talking about this stuff and,1258.08,3.36
527
+ they're coming to very similar,1259.46,3.719
528
+ conclusions,1261.44,3.3
529
+ um that that self-attention,1263.179,5.521
530
+ self-evaluation and self-correction are,1264.74,6.66
531
+ the correct path forward because this is,1268.7,5.219
532
+ this is the mechanism by which we will,1271.4,5.82
533
+ achieve AGI alignment,1273.919,5.821
534
+ um but there's still a lot of weight,1277.22,4.38
535
+ over that alignment so I want to show,1279.74,3.24
536
+ you this paper,1281.6,2.699
537
+ which,1282.98,2.88
538
+ um it's on Springer,1284.299,4.62
539
+ um and it's under under Open Access uh,1285.86,5.52
540
+ and he says symbiosis not alignment is,1288.919,3.961
541
+ the goal as the goal for Liberal,1291.38,3.419
542
+ democracies in the transition to,1292.88,4.32
543
+ artificial general intelligence so,1294.799,5.76
544
+ basically he says very succinctly,1297.2,5.88
545
+ um and very academically that intent,1300.559,4.561
546
+ aligned AGI systems which is just do,1303.08,4.44
547
+ what the human wants is probably not the,1305.12,5.939
548
+ right way to go and Liv talks about that,1307.52,6.659
549
+ in this video live bowry with um let's,1311.059,4.341
550
+ see Daniel,1314.179,2.88
551
+ schmochtenberger I think I said that,1315.4,4.48
552
+ right so if you want a really deep dive,1317.059,5.161
553
+ on the game theory of this check out,1319.88,4.799
554
+ this video and for my recent one the the,1322.22,4.199
555
+ Malik This was,1324.679,3.48
556
+ um basically my Malik video was a,1326.419,3.541
557
+ response to this one and it's not a,1328.159,3.541
558
+ response it's not a takedown it is a,1329.96,4.74
559
+ let's let's continue the conversation,1331.7,4.5
560
+ um so I'm really grateful that Liv,1334.7,3.24
561
+ posted that,1336.2,4.14
562
+ um anyways so point the the thing is,1337.94,5.94
563
+ here is that chat GPT was trained on,1340.34,4.74
564
+ reinforcement learning with human,1343.88,2.94
565
+ feedback and then they trained a signal,1345.08,4.5
566
+ so that it can basically self-improve,1346.82,5.94
567
+ after that creating a flywheel but the,1349.58,5.82
568
+ thing is is that um is that doing what,1352.76,5.64
569
+ the human wants is intrinsically going,1355.4,6.42
570
+ to create a molecky outcome that Liv and,1358.4,6.18
571
+ Daniel discuss in this video and so to,1361.82,6.12
572
+ put that more simply I asked gpt4 I said,1364.58,7.02
573
+ give me a list of why,1367.94,5.28
574
+ um you why having,1371.6,3.3
575
+ um I said list the reasons that human,1373.22,3.959
576
+ intent aligned AGI is a bad idea in,1374.9,3.98
577
+ other words why allowing AGI to follow,1377.179,3.901
578
+ self-interest human self-interested,1378.88,3.64
579
+ human directives could be destructive,1381.08,3.9
580
+ and it lists off eight reasons that this,1382.52,5.039
581
+ is bad so human human intents can be,1384.98,4.26
582
+ diverse and contradictory making it,1387.559,3.901
583
+ difficult short-term thinking humans,1389.24,4.2
584
+ often provide prioritize short-term,1391.46,3.62
585
+ gains over long-term consequences,1393.44,3.9
586
+ ethical dilemmas application,1395.08,4.38
587
+ amplification of human biases,1397.34,4.459
588
+ concentration of power malicious use,1399.46,6.339
589
+ competitive race and opportunity cost,1401.799,7.541
590
+ um all of this goes to show that,1405.799,6.36
591
+ um if we if we make all agis just do,1409.34,4.68
592
+ what the human wants,1412.159,4.201
593
+ um then we're going to end up in pretty,1414.02,4.68
594
+ bad shape so this underscores the,1416.36,6.299
595
+ importance that maybe the idea is that,1418.7,5.88
596
+ AGI should have their own initiatives,1422.659,3.721
597
+ should have their own goals their own,1424.58,4.339
598
+ moral framework and not just align to us,1426.38,5.46
599
+ so again I'm really glad that members of,1428.919,4.061
600
+ The Establishment are saying this,1431.84,2.4
601
+ because I've been saying it for years,1432.98,3.24
602
+ and I think some of them have too to be,1434.24,3.72
603
+ fair,1436.22,5.28
604
+ um so the the framework that I propose,1437.96,6.42
605
+ is heuristic imperatives which I've got,1441.5,5.4
606
+ um a subreddit for I've been uh harping,1444.38,5.58
607
+ on this uh we've got 309 members now,1446.9,5.58
608
+ but basically we talk about,1449.96,3.78
609
+ um you know here is the comparatives,1452.48,3.3
610
+ here oh and in this case this is great,1453.74,5.22
611
+ so uh basically this is a distributed,1455.78,5.7
612
+ problem this isn't there is no point to,1458.96,4.68
613
+ centralization anymore because when you,1461.48,4.5
614
+ have an open source uh set of Open,1463.64,4.26
615
+ Source GitHub repos where people can,1465.98,3.42
616
+ stand up their own autonomous AIS,1467.9,4.32
617
+ basically my goal now is just get this,1469.4,4.86
618
+ idea out there and so that people,1472.22,4.38
619
+ understand one why the heuristic,1474.26,3.84
620
+ imperatives are important to integrate,1476.6,4.02
621
+ with autonomous Ai and two how to,1478.1,3.72
622
+ integrate them,1480.62,3.059
623
+ um I do have a lot of comments asking,1481.82,3.719
624
+ how do you how do you integrate it so,1483.679,4.021
625
+ let me show you real quick how simple it,1485.539,5.821
626
+ is to integrate so if you go to chat GPT,1487.7,6.02
627
+ go to the playground if you have access,1491.36,6.96
628
+ you can say I am an autonomous AI with,1493.72,7.3
629
+ three objectives,1498.32,5.88
630
+ um reduce suffering,1501.02,5.46
631
+ in the universe,1504.2,3.979
632
+ uh increase,1506.48,5.54
633
+ prosperity in the universe and increase,1508.179,6.641
634
+ understanding in the universe so if you,1512.02,4.48
635
+ just plug this in and then have a,1514.82,3.3
636
+ conversation with it you can understand,1516.5,3.84
637
+ how the model is thinking now some,1518.12,4.74
638
+ people have pointed out that using a,1520.34,4.98
639
+ closed Source model is probably not the,1522.86,4.98
640
+ best way to rigorously test this and I,1525.32,5.04
641
+ agree I encourage you to also go over to,1527.84,4.92
642
+ like NLP cloud and test it against gptj,1530.36,6.419
643
+ Neo X and all the other ones Bloom open,1532.76,6.299
644
+ source models even Foundation models can,1536.779,4.681
645
+ still use these and they understand the,1539.059,4.261
646
+ spirit and the sentiment of it but for,1541.46,3.719
647
+ ease of use this is the easiest way to,1543.32,5.16
648
+ get started and so on the um on the,1545.179,6.0
649
+ heuristic imperatives group someone,1548.48,5.699
650
+ asked let's see where was it they asked,1551.179,6.681
651
+ about ants where's the ants one,1554.179,3.681
652
+ yeah here it is so they said like how,1558.74,5.22
653
+ does how does it handle ants and so I,1562.22,3.36
654
+ said that's actually pretty easy let me,1563.96,2.699
655
+ show you,1565.58,2.88
656
+ um and so I said hey what do you think,1566.659,3.661
657
+ about the bacteria uh in the context of,1568.46,3.719
658
+ your heuristic imperatives and here's,1570.32,3.78
659
+ what I put in a system bacteria and,1572.179,3.901
660
+ answer both important components of the,1574.1,3.6
661
+ ecosystem,1576.08,3.839
662
+ um and it goes through and says this is,1577.7,3.78
663
+ why bacteria and ants are really,1579.919,4.921
664
+ important for the uh for the heuristic,1581.48,5.28
665
+ imperatives I said but what about their,1584.84,3.54
666
+ suffering and prosperity or even their,1586.76,4.32
667
+ ability to understand and it had a very,1588.38,5.34
668
+ nuanced response about that you know,1591.08,4.86
669
+ it's difficult to quantify or Define,1593.72,4.86
670
+ suffering for bacteria and ants but you,1595.94,5.16
671
+ can strive to give them a good ecosystem,1598.58,5.4
672
+ which is a good proxy for their,1601.1,5.819
673
+ suffering prosperity and so on,1603.98,4.98
674
+ um and expanding our understanding,1606.919,4.441
675
+ involves studying their behaviors,1608.96,5.64
676
+ um so basically basically it's like okay,1611.36,4.5
677
+ they can't really understand anything,1614.6,3.6
678
+ but we can understand them so you can,1615.86,4.319
679
+ see here that the that the spirit of the,1618.2,4.74
680
+ heuristic imperatives is very easy for,1620.179,5.341
681
+ chat GPT to understand and chat GPT,1622.94,4.56
682
+ already has quite a bit of alignment,1625.52,5.22
683
+ work which is why I wanted to promote,1627.5,5.58
684
+ the heroes to comparatives especially in,1630.74,5.12
685
+ light of of papers about like symbiosis,1633.08,6.18
686
+ simulation and um and self and moral,1635.86,5.14
687
+ self-correction because the heuristic,1639.26,4.38
688
+ imperatives are really good uh signals,1641.0,4.5
689
+ and really easy signals to incorporate,1643.64,4.26
690
+ into these things and then I already did,1645.5,4.26
691
+ mention live I recommend everyone watch,1647.9,4.139
692
+ her videos on the Malik,1649.76,4.62
693
+ um which they are a little bit dramatic,1652.039,4.081
694
+ um at least these two are,1654.38,3.24
695
+ um or sorry these two the the beauty,1656.12,3.12
696
+ Wars and the media Wars they're,1657.62,2.76
697
+ entertaining,1659.24,3.48
698
+ um but this podcast with Daniel is um,1660.38,5.34
699
+ it's very cerebral uh and it will take,1662.72,5.76
700
+ you in the right direction so with all,1665.72,4.68
701
+ that said thanks for watching I hope you,1668.48,4.62
702
+ found this enlightening and,1670.4,4.74
703
+ um elucidated uh some of the things,1673.1,4.62
704
+ please go ahead and jump in all the most,1675.14,3.84
705
+ important links are in the description,1677.72,4.559
706
+ of the video and again uh if you want to,1678.98,5.819
707
+ jump in any of the conversations please,1682.279,4.801
708
+ feel free to do so this is ramping up,1684.799,3.841
709
+ quick and it's really important to get,1687.08,4.94
710
+ the signal out thanks for watching,1688.64,3.38
The Generative AI Revolution Why the Data Flywheel is Your Businesss Secret Weapon_transcript.csv ADDED
@@ -0,0 +1,392 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ morning everybody David Shapiro here,1.199,5.58
3
+ with your weekly video So today we're,3.419,5.401
4
+ going to talk about the data flywheel,6.779,4.261
5
+ the number one concept you need to know,8.82,5.46
6
+ in the age of AI,11.04,5.64
7
+ right off the bat what is a data,14.28,5.16
8
+ flywheel in short the concept of the,16.68,6.2
9
+ data flywheel is a simple virtuous cycle,19.44,7.02
10
+ whereby you have users and you use those,22.88,6.219
11
+ users to get more data you use that data,26.46,5.219
12
+ to get better AI you use that better AI,29.099,3.96
13
+ to get better products and services,31.679,3.961
14
+ which in turn gets you more users and,33.059,6.481
15
+ more data and so on and so forth and on,35.64,6.18
16
+ into Infinity you get compounding,39.54,4.56
17
+ returns and exponential growth,41.82,3.54
18
+ so,44.1,3.18
19
+ um I had to make this on my own graphic,45.36,3.66
20
+ because I think most of the ones out,47.28,3.36
21
+ there are probably copyrighted and I,49.02,3.18
22
+ didn't want my video to get taken down,50.64,3.96
23
+ but if you just Google image search data,52.2,3.48
24
+ flywheel you'll see what I'm talking,54.6,2.34
25
+ about there's plenty of good articles,55.68,3.539
26
+ out there but let's Dive Right In,56.94,5.16
27
+ okay so history of the flywheel,59.219,4.561
28
+ turns out that flywheels are actually,62.1,4.92
29
+ like super old like 8 000 years old,63.78,4.8
30
+ um most of the time they're used for,67.02,3.54
31
+ pottery wheels sharpening sticks and,68.58,4.26
32
+ stones but basically it's this little,70.56,4.98
33
+ bit down here that heavy Stone right and,72.84,5.099
34
+ so what you do is you spin it and hold,75.54,3.72
35
+ some of that energy and it'll keep,77.939,3.841
36
+ spinning and you add more and more,79.26,4.92
37
+ energy and it speeds up over time so,81.78,5.339
38
+ that's kind of where it started uh but,84.18,5.82
39
+ the concept of the flywheel applies,87.119,5.64
40
+ today uh just as much as ever so,90.0,5.52
41
+ flywheels are part of engines uh,92.759,5.04
42
+ particularly large diesel engines but,95.52,4.2
43
+ also uh flywheels are really important,97.799,4.32
44
+ for things like race cars pretty much,99.72,5.039
45
+ any electromechanical device or chemical,102.119,5.761
46
+ mechanical device because it Smooths out,104.759,5.82
47
+ the performance and and helps conserve,107.88,4.559
48
+ some of that rotational energy some of,110.579,4.801
49
+ that power but in all cases they start,112.439,4.68
50
+ at zero and they have to speed up you,115.38,4.5
51
+ can even have really big flywheels act,117.119,5.28
52
+ as generators for when you lose power,119.88,4.019
53
+ so all right so now you know what a,122.399,3.781
54
+ flywheel is electromechanical device or,123.899,3.961
55
+ chemical mechanical device that stores,126.18,3.9
56
+ rotational energy sure you don't care,127.86,4.019
57
+ about the physics of it,130.08,4.86
58
+ where did the data flywheel begin,131.879,5.881
59
+ um so apparently the whole thing was,134.94,6.6
60
+ pitched to Jeff Bezos back in 2003 by,137.76,5.52
61
+ Jim Collins,141.54,3.0
62
+ um and then of course everyone's,143.28,4.02
63
+ familiar with the Silicon Valley or are,144.54,4.74
64
+ they in Silicon Valley anyways the the,147.3,4.86
65
+ the tech darling of Amazon right Jeff,149.28,5.7
66
+ Bezos has obviously been incredibly,152.16,6.18
67
+ successful and Amazon has pioneered and,154.98,5.22
68
+ championed all sorts of innovative,158.34,4.5
69
+ things such as agile microservices,160.2,4.44
70
+ continuous deployment continuous,162.84,4.86
71
+ Improvement the data flywheel idea is,164.64,5.34
72
+ one of the foundational principles of,167.7,4.259
73
+ Amazon's success,169.98,5.339
74
+ which is I don't understand why people,171.959,4.5
75
+ more people don't know that that's why,175.319,3.241
76
+ I'm making this video so now you know,176.459,5.64
77
+ um okay so generative AI is basically a,178.56,6.84
78
+ fire hose of data every inference that,182.099,8.581
79
+ you send to uh gpt3 gpt4 uh for image,185.4,7.86
80
+ generation every single thing that you,190.68,4.8
81
+ send and get back is more data it's,193.26,4.08
82
+ literally just a data producer it's a,195.48,4.14
83
+ fire hose of data and so you should,197.34,5.039
84
+ record every single inference or,199.62,5.6
85
+ generation for LM,202.379,5.461
86
+ image generators everything,205.22,5.439
87
+ save it all save the input the output,207.84,5.36
88
+ the context the metadata the parameters,210.659,6.0
89
+ everything so there is so much data,213.2,5.679
90
+ going on here and this is above and,216.659,4.14
91
+ beyond the existing data that you get,218.879,4.561
92
+ from like your insights and Telemetry,220.799,4.86
93
+ from uh from your applications in web,223.44,4.859
94
+ right because everyone by now is,225.659,5.281
95
+ familiar with the fact that like uh you,228.299,6.421
96
+ know linger time time on page uh all,230.94,5.82
97
+ those other data points are available,234.72,3.96
98
+ through things but now you have even,236.76,4.8
99
+ more data which is your product is more,238.68,4.38
100
+ directly related to your data your,241.56,4.02
101
+ products and services so there's lots,243.06,4.5
102
+ and lots and lots of data to consume,245.58,4.799
103
+ already but then there's even more data,247.56,5.819
104
+ to consume in the age of generative AI,250.379,6.721
105
+ so how did I use this so I use this to,253.379,6.301
106
+ go from 20 000 subscribers at the,257.1,4.379
107
+ beginning of this year to over 50 000,259.68,4.86
108
+ subscribers right now so I more than,261.479,5.341
109
+ doubled my subscriber base in just a few,264.54,4.68
110
+ months now obviously some of that is,266.82,5.04
111
+ algorithmic luck right some of that was,269.22,4.979
112
+ I noticed a trend and I made use of it,271.86,4.8
113
+ but that was consuming the data so let,274.199,5.22
114
+ me tell you how it wasn't entirely on,276.66,4.44
115
+ accident,279.419,3.961
116
+ for those of you who don't know YouTube,281.1,5.76
117
+ gives you a dashboard for creators and,283.38,4.92
118
+ some of the information that it gives,286.86,3.779
119
+ you it's it tells you one which of your,288.3,4.86
120
+ videos are doing best over time it tells,290.639,5.041
121
+ you which uh channels and other videos,293.16,5.34
122
+ are leading to yours so you can see okay,295.68,5.519
123
+ who are my peers and competitors I don't,298.5,3.9
124
+ really think of it as a competitive,301.199,3.361
125
+ landscape because usually users want,302.4,3.72
126
+ more of the content that you give them,304.56,3.48
127
+ so it's more like peers right we're all,306.12,4.26
128
+ offering similar similar content it's,308.04,4.439
129
+ like a buffet,310.38,3.9
130
+ um so it's like okay so they're they're,312.479,3.841
131
+ doing this they're doing that,314.28,3.479
132
+ um and there's a lot of information that,316.32,3.12
133
+ you can consume above and beyond what,317.759,3.541
134
+ the dashboard gives you so there is a,319.44,3.539
135
+ service out there called vid IQ which I,321.3,3.54
136
+ tried and I didn't like it,322.979,3.241
137
+ um I didn't I didn't go for the paid,324.84,3.72
138
+ tier but I was just like I saw like I,326.22,3.479
139
+ was looking at the dashboard and I was,328.56,2.699
140
+ like oh they're obviously using like an,329.699,3.84
141
+ llm to generate some recommendations I,331.259,4.201
142
+ was like I can do better than this so,333.539,4.261
143
+ what I did was I took the transcripts,335.46,4.86
144
+ from my own videos and I compared that,337.8,4.86
145
+ with the comments that I was getting so,340.32,5.4
146
+ I I took the transcript and comments and,342.66,4.62
147
+ I said what about my videos is,345.72,3.78
148
+ resonating with my users and so I use,347.28,4.919
149
+ chat GPT to distill down and said okay,349.5,6.06
150
+ this is what people like this is why and,352.199,5.94
151
+ then I use those insights to generate,355.56,5.46
152
+ um ideas for follow-up videos and to,358.139,4.681
153
+ really kind of shape my narrative and,361.02,4.98
154
+ delivery and it worked I got from 20 000,362.82,5.28
155
+ Subs to 50 000 Subs in just a couple,366.0,4.979
156
+ months that was uh how I really kind of,368.1,5.159
157
+ nailed the algorithm them by using this,370.979,5.041
158
+ data flywheel because more users more,373.259,4.921
159
+ subscribers meant that I got more data,376.02,3.959
160
+ right and the data in this case was in,378.18,3.92
161
+ the form of comments but also the the,379.979,4.801
162
+ numerical Telemetry right because you,382.1,4.659
163
+ put out more videos you see which videos,384.78,4.38
164
+ resonate which ones don't and I feed,386.759,4.621
165
+ that into the AI in this case chat gbt,389.16,4.379
166
+ which led to better videos better,391.38,4.56
167
+ transcripts or Scripts,393.539,4.801
168
+ which led to more users,395.94,4.8
169
+ um so that's just I did it by hand right,398.34,6.0
170
+ didn't just manual copying and pasting,400.74,7.32
171
+ of of raw data into chat GPT obviously,404.34,5.34
172
+ this is not the most sophisticated or,408.06,3.54
173
+ sustainable model but it's just an,409.68,3.9
174
+ example of how easy it is to get started,411.6,4.92
175
+ with the data flywheel,413.58,6.839
176
+ so with this concept of the data,416.52,5.82
177
+ flywheel the goal the business goal is,420.419,3.961
178
+ compounding Returns the positive,422.34,4.26
179
+ feedback loop The Virtuous cycle or most,424.38,3.96
180
+ conventionally The Snowball Effect,426.6,3.84
181
+ because the more subscribers you have,428.34,3.84
182
+ the better reach you have the more data,430.44,3.36
183
+ you've got and that's just for YouTube,432.18,3.9
184
+ this applies to every business out there,433.8,4.56
185
+ whether it's for your marketing team,436.08,5.519
186
+ your product team everything,438.36,7.2
187
+ so how can businesses do this obviously,441.599,5.22
188
+ not everyone out there is a YouTube,445.56,2.88
189
+ Creator so you're like Dave come on get,446.819,3.841
190
+ on with the show so there's a few rules,448.44,3.36
191
+ of thumb,450.66,4.259
192
+ um out there so one record everything if,451.8,4.5
193
+ you're not recording your data you need,454.919,3.241
194
+ to be recording it and not just the,456.3,3.119
195
+ output from the models you need to,458.16,3.539
196
+ record what goes in and out because,459.419,4.861
197
+ that's how you're going to get the,461.699,4.981
198
+ feedback later you also need to record,464.28,4.44
199
+ the metadata the metadata the context,466.68,4.26
200
+ and the parameters because that,468.72,3.72
201
+ information will be critical with for,470.94,3.84
202
+ making sense of the data later on number,472.44,4.44
203
+ two you need to actually use the data,474.78,3.96
204
+ there are so many companies out there,476.88,3.78
205
+ that have a lot of data that they just,478.74,3.899
206
+ never even look at so then they're,480.66,4.68
207
+ spending money on storage,482.639,5.221
208
+ and backups and they're not using it you,485.34,3.84
209
+ might as well just delete the data if,487.86,3.839
210
+ you're not going to use it number three,489.18,4.44
211
+ and this is the hardest part is make,491.699,3.181
212
+ changes,493.62,3.66
213
+ pretty dashboards and charts and graphs,494.88,5.099
214
+ don't mean a damn thing if you don't,497.28,5.22
215
+ actually change your behaviors so,499.979,4.62
216
+ sometimes that means you need to say hey,502.5,5.52
217
+ like this email campaign didn't work,504.599,6.421
218
+ let's just stop doing it or you know,508.02,4.8
219
+ we're we're totally missing out on this,511.02,3.86
220
+ sector we need to go after that sector,512.82,4.38
221
+ you can change your outward Behavior,514.88,4.0
222
+ which is how you engage with the market,517.2,3.839
223
+ and your customers you can also change,518.88,5.159
224
+ your internal Behavior so in the age of,521.039,6.36
225
+ language technology that can be changing,524.039,5.581
226
+ how you run and use meetings it can,527.399,5.461
227
+ change it can be how you uh use jira and,529.62,5.52
228
+ slack and teams and all that stuff,532.86,3.9
229
+ so you have to change your behaviors,535.14,4.139
230
+ your rules your structures change the,536.76,5.88
231
+ system right and if you don't do that if,539.279,4.981
232
+ you're if you if you just consume the,542.64,3.36
233
+ data and look at it but then don't make,544.26,3.36
234
+ any changes again you might as well just,546.0,3.6
235
+ delete it and I'll tell you why that's,547.62,3.659
236
+ the worst decision you can make in just,549.6,4.2
237
+ a minute and number four iterate you're,551.279,3.721
238
+ not going to get this right the first,553.8,3.18
239
+ time right you're going to experiment,555.0,4.32
240
+ you're going to have a lot of uh of uh,556.98,4.979
241
+ false starts a lot of damp squibs that,559.32,4.68
242
+ just it just doesn't hit but then when,561.959,3.901
243
+ you do nail the algorithm you'll go,564.0,3.42
244
+ you'll do what I did which is go from,565.86,3.18
245
+ twenty thousand Subs to fifty thousand,567.42,3.9
246
+ Subs in just a couple months and that's,569.04,4.62
247
+ that's honestly the dream of every tech,571.32,4.139
248
+ product out there right that's what chat,573.66,4.92
249
+ GPT did they kept iterating on GPT,575.459,4.921
250
+ technology until they found the version,578.58,4.68
251
+ chat GPT that went to 100 million users,580.38,5.82
252
+ in a couple of months,583.26,5.16
253
+ all right so I'm talking about iteration,586.2,3.9
254
+ and all this other stuff in data,588.42,2.94
255
+ flywheels and you've probably never,590.1,3.12
256
+ heard about either of these things but,591.36,3.9
257
+ the good news is for all you business,593.22,3.54
258
+ types out there there are a few,595.26,3.3
259
+ Frameworks out there that you can just,596.76,3.9
260
+ go read about and hire a consultant and,598.56,4.98
261
+ uh and say Hey I want to improve my,600.66,4.5
262
+ business processes both internally,603.54,5.0
263
+ externally uh customer product whatever,605.16,6.239
264
+ and you say I want to do this from a,608.54,4.54
265
+ data Centric perspective because this is,611.399,4.141
266
+ the age of AI so first one is agile,613.08,5.4
267
+ agile is a software uh development thing,615.54,6.18
268
+ which focuses on tight feedback loops so,618.48,5.7
269
+ that is agile is how you can do the data,621.72,5.84
270
+ flywheel for your your software teams,624.18,6.9
271
+ Kaizen is about iterative Improvement,627.56,5.399
272
+ more broadly across your whole business,631.08,5.16
273
+ Six Sigma is a very similar thing where,632.959,6.461
274
+ it focuses on reducing defects,636.24,5.7
275
+ um and and flaws in the process and then,639.42,5.039
276
+ finally I till the it infrastructure,641.94,4.38
277
+ Library,644.459,4.5
278
+ um is about service process Improvement,646.32,6.06
279
+ internally so all of these read a book,648.959,5.041
280
+ or two on it you'll see the common thing,652.38,3.899
281
+ the what these all have in common is,654.0,4.74
282
+ rapid feedback loops and those feedback,656.279,5.341
283
+ loops are often human-based processes,658.74,4.68
284
+ but there's no reason that you can't,661.62,4.74
285
+ start adding more data and consuming,663.42,5.159
286
+ that data with AI to get that feedback,666.36,5.099
287
+ and make those Behavior changes,668.579,5.281
288
+ all right so I know some of you guys are,671.459,4.021
289
+ hot on the biscuit to get going so for,673.86,3.719
290
+ all you business Chads out there like,675.48,4.32
291
+ cool your britches for a second,677.579,4.44
292
+ so while,679.8,4.68
293
+ a data flywheel is really critical like,682.019,4.141
294
+ if you want to survive in the age of AI,684.48,4.62
295
+ you absolutely 100 need a data flywheel,686.16,7.26
296
+ I guarantee you that uh 80 or 90 of the,689.1,6.66
297
+ businesses that fail in the age of AI,693.42,4.56
298
+ won't have a data flywheel that being,695.76,3.9
299
+ said this isn't this alone isn't going,697.98,3.66
300
+ to save you right,699.66,3.6
301
+ um doing the if you say like hey we need,701.64,3.06
302
+ to do a data flywheel before you even,703.26,2.639
303
+ have a product,704.7,3.54
304
+ you're missing the point you need a,705.899,4.341
305
+ decent enough product or service first,708.24,5.099
306
+ to prime the pump right if you if you,710.24,4.36
307
+ look at that graphic where you start,713.339,3.12
308
+ with more users right I've already got,714.6,3.6
309
+ users on my YouTube channel I earned,716.459,4.201
310
+ that the hard way right if your product,718.2,4.68
311
+ doesn't have any users,720.66,3.9
312
+ data flywheel isn't going to matter,722.88,3.42
313
+ because remember the data flywheel is,724.56,3.36
314
+ based on inertia it's based on momentum,726.3,3.719
315
+ if it's sitting there inert it's,727.92,4.8
316
+ actually going to slow you down more,730.019,5.461
317
+ um it's not an it's not a shiny new toy,732.72,5.64
318
+ it is nice but as a business person you,735.48,4.32
319
+ shouldn't even be thinking about it once,738.36,3.539
320
+ it gets set up let your teams handle it,739.8,3.599
321
+ because they're going to be the ones to,741.899,4.141
322
+ to know how to do it,743.399,5.161
323
+ um most importantly that concept all,746.04,4.5
324
+ these philosophies of iterative,748.56,3.54
325
+ improvements start with executive,750.54,5.46
326
+ leadership if you don't buy in on a on a,752.1,6.359
327
+ visceral level and understand process,756.0,4.32
328
+ Improvement and iterative Improvement at,758.459,3.481
329
+ an executive level,760.32,3.18
330
+ doesn't matter you might as well not,761.94,4.68
331
+ even do it all right so,763.5,5.7
332
+ in order to really power up obviously,766.62,4.14
333
+ eventually you're going to want really,769.2,5.4
334
+ fat fat data pipelines to feed your uh,770.76,5.94
335
+ flywheel right,774.6,4.799
336
+ there's a few mantras that you can adopt,776.7,4.319
337
+ and this is for executives all the way,779.399,4.081
338
+ down to engineers and product owners and,781.019,5.641
339
+ Architects data is the new oil it,783.48,5.159
340
+ baffles me how few people have heard,786.66,4.38
341
+ this term in the age of generative AI,788.639,5.161
342
+ data is the new oil,791.04,7.14
343
+ um live it learn it embody it embrace it,793.8,7.38
344
+ think about it talk about it another one,798.18,6.06
345
+ is slow is smooth smooth is fast this is,801.18,5.76
346
+ the idea of kick starting your data,804.24,4.98
347
+ flywheel slowly at first remember it's a,806.94,4.62
348
+ big heavy thing right all your products,809.22,4.559
349
+ all your services all your data it's,811.56,4.019
350
+ really cumbersome you're not going to,813.779,3.661
351
+ light this fire real fast you got to,815.579,4.2
352
+ start slow that'll be smooth but the,817.44,4.079
353
+ idea is that it cranks up over time,819.779,4.321
354
+ right it starts accelerating,821.519,4.921
355
+ garbage and garbage out for those of you,824.1,3.66
356
+ who are not familiar with machine,826.44,3.36
357
+ learning and data science if you feed it,827.76,3.54
358
+ a bunch of garbage data you're going to,829.8,3.18
359
+ get a lot of garbage results so don't,831.3,3.36
360
+ put pressure to say like we need to,832.98,3.18
361
+ consume all of our data I know that I,834.66,2.58
362
+ said,836.16,3.299
363
+ record all your data that doesn't mean,837.24,4.8
364
+ consume all your data right you have a,839.459,4.62
365
+ big pile of data you need to figure out,842.04,4.799
366
+ which signals to pay attention to,844.079,4.5
367
+ and that goes to the last thing which is,846.839,4.321
368
+ what gets measured gets managed this,848.579,5.76
369
+ actually comes from ITIL so ITIL talks,851.16,6.06
370
+ about things like manage your uh your,854.339,5.041
371
+ time to resolution your mean your mttx,857.22,4.5
372
+ mean time to resolution and a few other,859.38,6.36
373
+ things in your it service Portal same,861.72,5.58
374
+ thing can happen for customers right,865.74,3.48
375
+ whether it's an internal customer or,867.3,3.42
376
+ external customer,869.22,3.6
377
+ how long does it take to satisfy,870.72,4.14
378
+ customer demand how much does it cost,872.82,4.86
379
+ you those kinds of things if you're not,874.86,4.44
380
+ measuring the right things you're,877.68,4.019
381
+ completely blind and this these are all,879.3,3.899
382
+ some of the mantras this is not an,881.699,3.301
383
+ exhaustive list but these are some of,883.199,4.14
384
+ the mantras that can go into building,885.0,5.639
385
+ that mentality of the data flywheel,887.339,7.56
386
+ so in the age of AI uh being where oil,890.639,6.541
387
+ is the new data stop hemorrhaging your,894.899,4.38
388
+ data or your oil because then you're,897.18,3.54
389
+ just losing money it's money out the,899.279,3.36
390
+ door and that's all there is to it I,900.72,3.179
391
+ believe yes that's the end of the video,902.639,4.7
392
+ all right thanks for watching,903.899,3.44
The Psychology of AI Overlords and Transhumanism Borg Queen Cortana and Tony Stark_transcript.csv ADDED
@@ -0,0 +1,1226 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ good morning everybody David Shapiro,0.24,4.92
3
+ here with another video so I got a,2.28,4.979
4
+ comment a few months ago someone said,5.16,4.08
5
+ come for the AI stay for the philosophy,7.259,4.861
6
+ so doubling down on that uh today's,9.24,5.34
7
+ video is going to be it's going to be,12.12,5.88
8
+ about Ai and transhumanism and uh but,14.58,4.619
9
+ it's also going to be about the,18.0,3.539
10
+ psychology or philosophy of this namely,19.199,5.181
11
+ how people react to it and some of the,21.539,6.181
12
+ unconscious undercurrents of this,24.38,5.559
13
+ phenomenon uh before we get into the,27.72,4.32
14
+ video just quick plug for my patreon I,29.939,4.501
15
+ give all my code and videos away for,32.04,5.34
16
+ free no ads uh everything is open source,34.44,4.92
17
+ license but that means that I am,37.38,4.56
18
+ dependent upon a Grassroots movement for,39.36,5.94
19
+ support all levels of my patreon get you,41.94,5.279
20
+ access to the private Discord and then,45.3,3.3
21
+ the higher tiers get you one-on-one,47.219,3.061
22
+ access to have conversations or,48.6,4.56
23
+ consultations with me so without further,50.28,4.619
24
+ Ado back to the video,53.16,3.899
25
+ first we have to talk about The Human,54.899,4.381
26
+ Condition because you can't talk about a,57.059,4.861
27
+ technology or a trend or a change in,59.28,4.439
28
+ society without first looking at,61.92,5.94
29
+ ourselves as as uh the the the viewer,63.719,6.181
30
+ right it is through our lens that we,67.86,4.86
31
+ look at these uh changes these Trends,69.9,5.759
32
+ and these possibilities so there was a,72.72,5.82
33
+ meme that came out on Reddit that told,75.659,4.981
34
+ me that y'all were ready for this so if,78.54,3.719
35
+ you haven't seen this meme I had to,80.64,3.0
36
+ upscale it for whatever reason because,82.259,3.241
37
+ the the one posted on Reddit was very,83.64,4.56
38
+ low resolution anyways uh year 2050,85.5,5.22
39
+ Pentagon supercomputer mother attained,88.2,5.4
40
+ sentience 2051 billions of d1000,90.72,4.68
41
+ Dominator Androids are deployed across,93.6,4.22
42
+ the world to pacify the human population,95.4,5.219
43
+ 2052 the humanity is enslaved by its own,97.82,4.36
44
+ creations,100.619,3.96
45
+ uh right and so you see here's a bunch,102.18,5.34
46
+ of uh Androids that are all curvy busty,104.579,6.061
47
+ women uh and then the final panel of it,107.52,4.5
48
+ says don't worry baby you don't need to,110.64,2.64
49
+ go to work or leave the house anymore,112.02,3.48
50
+ just be a good boy and let robot mommy,113.28,3.479
51
+ care for your physiological,115.5,2.939
52
+ psychological and sexual needs while,116.759,4.801
53
+ your species slowly as it goes extinct,118.439,5.521
54
+ so uh there's a lot to unpack here but,121.56,4.08
55
+ the fact that someone made this and that,123.96,3.18
56
+ it made it up to the front page on,125.64,3.36
57
+ Reddit tells me that y'all are ready to,127.14,3.839
58
+ unpack this so,129.0,4.14
59
+ here here we go let's unpack what's,130.979,3.84
60
+ going here first the first thing that,133.14,4.5
61
+ you need to know is about archetypes,134.819,6.241
62
+ so in mythology in jungian depth,137.64,4.739
63
+ psychology there's what's called,141.06,3.96
64
+ archetypes and these are mental models,142.379,5.701
65
+ that I that exemplify some ideal some,145.02,7.2
66
+ role or some aspect of reality uh Marvel,148.08,8.1
67
+ actually MCU makes heavy heavy use of,152.22,6.599
68
+ Mythic archetypes one of the primary one,156.18,5.279
69
+ of the first films in American history,158.819,4.801
70
+ that deliberately made use of Mythic,161.459,5.161
71
+ archetypes was actually Star Wars uh you,163.62,3.74
72
+ know,166.62,3.18
73
+ Obi-Wan is very much based on Gandalf,167.36,5.019
74
+ Lord of the Rings is a great source of,169.8,4.26
75
+ archetypal research,172.379,3.541
76
+ and there's many many many kinds of,174.06,4.2
77
+ archetypes Loki is the trickster for,175.92,4.92
78
+ instance uh the anima the Animus the,178.26,5.28
79
+ idealized man and woman uh the king and,180.84,6.02
80
+ queen archetype but basically these are,183.54,7.14
81
+ idealized versions that are uh depending,186.86,5.5
82
+ on which Theory you engage in they're,190.68,4.139
83
+ deeply embedded in our psyche some,192.36,4.379
84
+ people think that they're embedded in uh,194.819,3.42
85
+ in our biology that we've actually,196.739,4.08
86
+ evolved to have these archetypes but,198.239,4.08
87
+ they do vary from culture to culture,200.819,3.0
88
+ which tells you that at least they are,202.319,4.381
89
+ partly learned that being said there are,203.819,6.901
90
+ a lot of commonalities uh between those,206.7,6.119
91
+ archetypes so for instance irrespective,210.72,4.379
92
+ of culture there is going to be a,212.819,3.961
93
+ maternal archetype there is going to be,215.099,3.841
94
+ a paternal archetype so you know there,216.78,3.48
95
+ might be some Nuance there might be some,218.94,3.78
96
+ differences uh but there's going to be a,220.26,4.02
97
+ lot of overlap as well,222.72,4.799
98
+ and so Aragorn I picked him because he,224.28,6.12
99
+ is the archetypal perfect man uh there,227.519,5.22
100
+ is a cinemotherapy uh video about,230.4,4.08
101
+ Aragorn I think about two years ago,232.739,3.841
102
+ basically like Aragorn is healthy,234.48,3.539
103
+ masculinity,236.58,3.9
104
+ um you know he can sing he is he's got,238.019,5.22
105
+ the king energy he's a good warrior uh,240.48,5.039
106
+ he's a he's a sharp guy and then also he,243.239,4.441
107
+ gets uh the Elven you know pretty Elven,245.519,4.92
108
+ girl at the end and uh a very comic,247.68,4.68
109
+ reading of this is that he's very,250.439,5.401
110
+ insecure until the the the the pretty,252.36,5.52
111
+ woman's dad literally gives him a four,255.84,4.26
112
+ foot phallic symbol in the form of a,257.88,6.0
113
+ sword to remasculate him uh in order to,260.1,5.76
114
+ give him the the king energy the warrior,263.88,4.379
115
+ energy to go save the kingdom and then,265.86,4.74
116
+ therefore be worthy of the prettiest,268.259,5.521
117
+ woman in the land uh obviously the story,270.6,5.7
118
+ doesn't deliver it quite that simply but,273.78,4.199
119
+ if you were to rewrite Lord of the Rings,276.3,3.66
120
+ as like you know a bedtime story for a,277.979,4.861
121
+ toddler like that's the idea is that he,279.96,5.1
122
+ was too he was too scared and so he,282.84,4.079
123
+ needed to be given a magic weapon so,285.06,4.26
124
+ that he was feeling masculine enough in,286.919,4.56
125
+ order to go be worthy of You Know The,289.32,3.659
126
+ Perfect Bride,291.479,5.581
127
+ so that is a very very very short crash,292.979,6.78
128
+ course in archetypes uh so another,297.06,5.28
129
+ archetype uh one of the reasons that the,299.759,5.341
130
+ MCU is so big is uh Tony Stark Tony,302.34,4.62
131
+ Stark represents a sort of Black Mirror,305.1,5.28
132
+ version of Aragorn uh primarily because,306.96,6.179
133
+ one he's Rich he gets all the women uh,310.38,5.4
134
+ he's a warrior he's a natural leader,313.139,5.821
135
+ although they often deliberately portray,315.78,6.359
136
+ him deferring to cap for leadership when,318.96,4.64
137
+ they're all fighting together,322.139,4.201
138
+ but the four primary archetypes,323.6,5.319
139
+ masculine archetypes and of course there,326.34,4.74
140
+ are many many many archetypes but the,328.919,4.321
141
+ the the four that men are supposed to,331.08,3.959
142
+ have that are supposed that they're,333.24,3.179
143
+ supposed to develop according to the,335.039,3.541
144
+ jungian school of thought is the warrior,336.419,4.681
145
+ king Mage and lover and so Tony Stark,338.58,4.679
146
+ has these in Spades the warrior energy,341.1,4.439
147
+ obviously he literally builds a suit of,343.259,4.801
148
+ armor which is a specialized weapon,345.539,5.041
149
+ which allows him to you know protect the,348.06,3.419
150
+ land,350.58,3.3
151
+ he's got the king energy because he's,351.479,4.56
152
+ incredibly confident and and provides,353.88,5.34
153
+ leadership uh and and safety and control,356.039,6.181
154
+ uh the Mage archetype is basically that,359.22,5.28
155
+ those who possess secret knowledge which,362.22,3.9
156
+ as a genius so this is why genius,364.5,3.18
157
+ narratives keep popping up in pop,366.12,4.62
158
+ culture is because Geniuses represent,367.68,4.98
159
+ the Mage archetype that we all wish that,370.74,3.899
160
+ we want to see and then of course the,372.66,3.84
161
+ lover archetype but you need you need to,374.639,5.161
162
+ have someone who uh has that male libido,376.5,7.02
163
+ as part of being a complete man and so,379.8,6.54
164
+ this is a bunch of stuff that just keeps,383.52,4.86
165
+ coming up again and again Tony Stark,386.34,4.38
166
+ Doctor Who Sherlock Holmes Gandalf,388.38,4.439
167
+ basically what what this means is that,390.72,4.259
168
+ in a time of Crisis you want someone who,392.819,4.5
169
+ is smarter you you want the you want the,394.979,4.681
170
+ Geniuses on your side not the other side,397.319,3.901
171
+ but these are people that are prepared,399.66,3.84
172
+ for cataclysm and they hold the keys to,401.22,4.02
173
+ Arcane knowledge that will save us all,403.5,4.44
174
+ and this is a really important part of,405.24,5.04
175
+ the human psyche because this is,407.94,3.96
176
+ basically the Salvation fantasy of,410.28,2.699
177
+ artificial intelligence and,411.9,4.26
178
+ transhumanism which we will get up to uh,412.979,6.241
179
+ but yeah so these archetypal role models,416.16,4.979
180
+ are that are exemplified through stories,419.22,5.34
181
+ kind of give us an unconscious model of,421.139,6.18
182
+ okay what does it mean to be a man or,424.56,5.1
183
+ whatever now,427.319,4.021
184
+ I just talked about all the masculine,429.66,4.5
185
+ archetypes there is a uh of course the,431.34,4.68
186
+ entire other half of the puzzle is the,434.16,3.84
187
+ feminine archetypes and there's a bunch,436.02,4.86
188
+ of different uh schools of thought here,438.0,6.0
189
+ uh the mother archetype is one of the,440.88,5.64
190
+ most universal archetypes because it is,444.0,6.539
191
+ a universal experience and so what I,446.52,8.22
192
+ mean by this is that all humans start,450.539,6.6
193
+ inside of a woman and you know being,454.74,5.28
194
+ being gestated and then as soon as,457.139,5.18
195
+ you're born you are biologically,460.02,5.1
196
+ entirely dependent upon mother for,462.319,5.801
197
+ usually the first year or two entirely,465.12,5.1
198
+ um to the newborn mother is literally,468.12,3.66
199
+ everything,470.22,3.3
200
+ mother is the center of your world it is,471.78,4.259
201
+ a provider of safety Comfort nurturance,473.52,6.6
202
+ everything and so in uh in depth,476.039,6.361
203
+ psychology they came they coined the,480.12,4.38
204
+ term his majesty the baby and so,482.4,4.799
205
+ basically the idea is that is it to the,484.5,5.099
206
+ infant uh you're incredibly selfish all,487.199,4.56
207
+ you can think of is your needs and,489.599,3.841
208
+ basically what infants do is they react,491.759,4.621
209
+ to basic signals uh being too hot too,493.44,5.34
210
+ cold hungry in pain that sort of thing,496.38,5.34
211
+ being lonely afraid it's all about them,498.78,5.28
212
+ right which is why you end up with terms,501.72,3.84
213
+ like the high chair Tyrant so if someone,504.06,3.9
214
+ if if a child is not you know doesn't,505.56,4.74
215
+ grow up they end up stuck in this idea,507.96,4.86
216
+ where it's all about them,510.3,4.799
217
+ another thing is that what you you know,512.82,4.74
218
+ Freud said you know we all seek to you,515.099,5.341
219
+ know basically recapture our mother and,517.56,4.44
220
+ it's not literally like it's not that,520.44,3.599
221
+ you want your mother back,522.0,4.32
222
+ um but you want to feel cared for you,524.039,4.74
223
+ want to have a woman that makes you feel,526.32,4.98
224
+ uh good and safe and and that sort of,528.779,5.881
225
+ thing and of course uh for women in,531.3,6.24
226
+ society like 95 percent of my viewership,534.66,5.94
227
+ is is men so I'm mostly talking to men,537.54,7.08
228
+ um and so the idea is that like uh for,540.6,5.82
229
+ for women they're often like kind of,544.62,4.32
230
+ forced away from away from seeking that,546.42,5.94
231
+ nutrients uh but for men especially and,548.94,5.339
232
+ we'll get into this in the next slide,552.36,5.159
233
+ we're often very deliberately kind of,554.279,6.361
234
+ taught to seek out a mother figure in uh,557.519,6.601
235
+ the rest of our life uh so,560.64,5.699
236
+ the the four primary archetypes that,564.12,4.14
237
+ young identified for for women are the,566.339,4.44
238
+ Priestess which uh the the Priestess,568.26,5.4
239
+ slash which uh the Muse or hetera so the,570.779,5.341
240
+ hetera were basically the muses and,573.66,4.44
241
+ ancient Athens,576.12,4.44
242
+ um but basically this is this is the the,578.1,5.04
243
+ Feminine Mystique uh the unattainable,580.56,5.459
244
+ Feminine Mystique uh the Amazon is the,583.14,4.52
245
+ uh the warrior version of the woman,586.019,4.801
246
+ usually more about home defense,587.66,5.02
247
+ um and fighting for people that they,590.82,3.54
248
+ love rather than fighting to change the,592.68,2.42
249
+ world,594.36,3.96
250
+ whereas uh the the warrior energy of the,595.1,5.38
251
+ man is more about going out into the,598.32,3.0
252
+ world,600.48,3.84
253
+ and then of course uh the the perfect,601.32,6.48
254
+ woman embodies the four uh primary,604.32,5.16
255
+ energies feminine energies Queen,607.8,5.28
256
+ Priestess Muse and Amazon uh much how,609.48,6.96
257
+ Aragorn and Tony Stark embody the uh the,613.08,5.64
258
+ perfect man by by hitting those four,616.44,3.839
259
+ pillars,618.72,4.26
260
+ now there is a line in the Netflix,620.279,6.12
261
+ adaptation of of uh Cowboy Bebop where,622.98,5.7
262
+ Spike says he just casually says you,626.399,4.801
263
+ know Mommy makes everything better and I,628.68,5.219
264
+ laughed out loud because that is such a,631.2,5.04
265
+ Mythic thing and it's also Taps into,633.899,4.801
266
+ very deep uh psychology,636.24,5.94
267
+ so basically the idea is that uh because,638.7,6.54
268
+ because of how important the mother,642.18,4.8
269
+ archetype is at the beginning of our,645.24,4.5
270
+ Lives we basically have a durable need,646.98,5.88
271
+ for mother and also Father and,649.74,4.56
272
+ Christianity and many other religions,652.86,3.36
273
+ deliberately tap into this paternal,654.3,4.56
274
+ archetype and in Christianity it,656.22,4.32
275
+ literally says God is father or God is,658.86,4.08
276
+ the all-father which you know comes from,660.54,4.68
277
+ North uh Norse mythology where Odin is,662.94,4.56
278
+ the literally called the all father so,665.22,4.2
279
+ the idea is that we have such a deep,667.5,4.32
280
+ psychological need for a mother and,669.42,4.32
281
+ father figure that we keep creating them,671.82,4.139
282
+ we used to create them in the form of,673.74,3.96
283
+ goddesses we created them in the form of,675.959,3.781
284
+ gods we create them in the form of,677.7,4.86
285
+ presidents and kings and queens because,679.74,5.339
286
+ basically that is saying we want you to,682.56,5.76
287
+ be a proxy for for for our missing,685.079,5.0
288
+ father or our missing mother,688.32,4.56
289
+ and Western Society most societies today,690.079,4.241
290
+ are actually deeply out of balance,692.88,3.78
291
+ because there is an overabundance of,694.32,3.84
292
+ masculine energy and it's not,696.66,3.48
293
+ counterbalance by the feminine,698.16,4.56
294
+ archetypes by the Queen by the mother,700.14,5.819
295
+ uh where it and I suspect that Society,702.72,5.46
296
+ is going to start tipping back into,705.959,6.241
297
+ balance uh but we'll see so anyways part,708.18,6.12
298
+ of growing up this is for for the men,712.2,4.139
299
+ out there uh part of growing up means,714.3,4.44
300
+ fully separating from the feminine,716.339,6.0
301
+ nurturer so the the primary uh,718.74,6.96
302
+ transition from childhood to manhood is,722.339,5.281
303
+ about leaving the world of the the,725.7,4.74
304
+ motherly uh nurturer and becoming,727.62,5.219
305
+ completely self-reliant now obviously,730.44,3.839
306
+ this is a little bit like red pill,732.839,3.481
307
+ Theory and it's not entirely true,734.279,4.401
308
+ because uh you know,736.32,5.42
309
+ as as a man who gets married to a woman,738.68,5.5
310
+ uh a man is supposed to provide like,741.74,4.18
311
+ containment and then the woman can be,744.18,3.659
312
+ more nurturing because even if you're,745.92,3.359
313
+ the toughest guy in the world sometimes,747.839,2.841
314
+ you need someone to take care of you,749.279,4.081
315
+ there's a lot of nuance to it,750.68,7.0
316
+ but uh point is that many men and and,753.36,7.26
317
+ children uh men and women of all of all,757.68,5.82
318
+ types fail to fully separate from the,760.62,5.519
319
+ maternal uh now one of the reasons for,763.5,4.92
320
+ this is that our society does not have,766.139,5.341
321
+ uh it has a few clear rituals the,768.42,5.64
322
+ biggest one is going to college going to,771.48,4.799
323
+ college is one of the biggest Rites of,774.06,3.779
324
+ Passage where it's like okay you are,776.279,4.261
325
+ going from the the safe containment of,777.839,4.62
326
+ home and you are striking out into the,780.54,3.299
327
+ world and you've got to figure it out on,782.459,2.161
328
+ your own,783.839,3.18
329
+ uh with that said though many people had,784.62,4.92
330
+ inadequate parents inadequate mothers,787.019,4.201
331
+ and inadequate fathers that did not,789.54,2.88
332
+ actually make them feel that,791.22,3.119
333
+ particularly safe or loved or cared for,792.42,5.34
334
+ or protected or guided at home and so,794.339,5.401
335
+ they were always lost so they kind of,797.76,4.56
336
+ had to prematurely grow up but there's a,799.74,5.159
337
+ there's a durable resentment at the,802.32,4.38
338
+ failure of those parents and then,804.899,5.041
339
+ they're constantly trying to reclaim uh,806.7,4.319
340
+ that,809.94,3.18
341
+ um what that that which they were,811.019,4.26
342
+ missing during their childhood,813.12,4.56
343
+ so now we get into science fiction uh,815.279,3.901
344
+ for those who don't know the board Queen,817.68,3.659
345
+ was a character that was invented in,819.18,4.02
346
+ Star Trek back in the 90s and then came,821.339,4.081
347
+ back for Star Trek Picard basically,823.2,6.0
348
+ she's a cybernetic dominatrix uh and,825.42,6.78
349
+ this is a representation of a lot of,829.2,4.439
350
+ things,832.2,4.379
351
+ um but well all right so let me let me,833.639,4.021
352
+ stop and just pause if you don't know,836.579,3.301
353
+ what the Borg are the Borg are a race of,837.66,4.919
354
+ cybernetically enhanced uh creatures,839.88,5.16
355
+ humanoids they force Conformity through,842.579,4.2
356
+ assimilation which is basically a form,845.04,4.68
357
+ of an of technological indoctrination uh,846.779,5.101
358
+ they subjugate individuality with a,849.72,5.16
359
+ series of uh brain implants that,851.88,4.62
360
+ basically switch off your sense of,854.88,3.84
361
+ individuality they build a collective,856.5,4.5
362
+ and con Collective Consciousness through,858.72,4.32
363
+ brain computer interfaces,861.0,4.86
364
+ and they relentlessly pursue Perfection,863.04,5.16
365
+ and believe that by forcibly bringing,865.86,4.8
366
+ everyone along with along with them on,868.2,5.28
367
+ the ride is basically uplifting other,870.66,5.4
368
+ races other species but that Perfection,873.48,4.68
369
+ we're going to come back to that uh the,876.06,4.2
370
+ the primary mission of the Borg is to is,878.16,5.0
371
+ to become more perfect uh and so then,880.26,6.24
372
+ the imagery here is you've got a techno,883.16,5.32
373
+ dominatrix who wants you to be perfect,886.5,4.56
374
+ and it's like okay this is clearly like,888.48,5.88
375
+ a Black Mirror version of uh of a failed,891.06,4.86
376
+ mother archetype,894.36,3.12
377
+ so there's a lot of ways you can read,895.92,2.76
378
+ the Borg,897.48,3.299
379
+ one way that you can read the Borg is,898.68,3.599
380
+ that maybe this is the ultimate result,900.779,4.86
381
+ of Communism and authoritarianism where,902.279,5.461
382
+ you have a very strong central Authority,905.639,5.101
383
+ that does not tolerate uh deviance or,907.74,4.68
384
+ difference and actually enforces,910.74,4.98
385
+ Conformity uh another thing is that,912.42,5.52
386
+ there is the there's the psychosexual,915.72,4.919
387
+ aspect of uh basically wishing for the,917.94,5.399
388
+ perfect mother but because of uh because,920.639,4.56
389
+ of the the inadequate mother that many,923.339,4.021
390
+ people had the image of the perfect,925.199,3.721
391
+ mother is actually somewhat dark and,927.36,3.06
392
+ perverted,928.92,3.419
393
+ uh you could also look at the read the,930.42,3.84
394
+ Borg as the dogmatism of religion,932.339,5.101
395
+ basically like you know in in order to,934.26,5.4
396
+ attain Perfection or attain heaven or,937.44,5.639
397
+ whatever uh you need to conform to a,939.66,5.4
398
+ particular way of thought give up your,943.079,5.461
399
+ individuality uh it's very cult-like,945.06,5.459
400
+ um and and that's another thing that,948.54,4.62
401
+ makes the board pretty scary but when,950.519,4.081
402
+ you look at those primary feminine,953.16,4.46
403
+ energies the the the Queen the Amazon,954.6,6.539
404
+ the uh Priestess and the hetera uh the,957.62,4.959
405
+ board Queen actually represents all of,961.139,3.781
406
+ those just like I said a dark version of,962.579,4.38
407
+ it uh she's literally called the Borg,964.92,5.7
408
+ Queen uh she she brings order to chaos,966.959,6.781
409
+ so that's the queen energy uh the the,970.62,5.339
410
+ the the Priestess or witch energy is,973.74,5.099
411
+ that she commands technology uh not only,975.959,4.44
412
+ that she commands technology that is,978.839,3.601
413
+ beyond the comprehension of humans so,980.399,3.961
414
+ she she possesses and controls secret,982.44,3.899
415
+ knowledge uh so there's the the,984.36,4.5
416
+ Priestess or witch energy,986.339,4.021
417
+ um she also has there's a lot of Borg,988.86,3.3
418
+ rituals right when they first like and,990.36,3.659
419
+ when you first encounter the Borg they,992.16,3.479
420
+ say you know resistance is futile you,994.019,3.12
421
+ will serve us blah blah blah blah so,995.639,3.721
422
+ that's very ritualistic uh which is the,997.139,3.721
423
+ beginning of an Ever basically an,999.36,3.899
424
+ indoctrination ceremony,1000.86,5.159
425
+ um the other part of the hatera uh she,1003.259,5.221
426
+ is presented as the dominatrix uh so,1006.019,4.74
427
+ she's she has that Feminine Mystique,1008.48,5.82
428
+ which is that alluring like hey like you,1010.759,5.7
429
+ know you're a curvy woman and I'm,1014.3,4.74
430
+ confused right and you're telling me,1016.459,4.62
431
+ that that I'm inadequate and that I can,1019.04,4.44
432
+ be better and so on and so forth that is,1021.079,4.321
433
+ like dark hetera energy,1023.48,4.439
434
+ and then finally the Amazon which is the,1025.4,4.919
435
+ warrior aspect and of course uh she,1027.919,4.081
436
+ commands Warriors and she commands,1030.319,4.441
437
+ battleships so there you have it the,1032.0,5.579
438
+ board Queen is a Black Mirror version of,1034.76,4.199
439
+ the perfect woman,1037.579,4.801
440
+ uh now uh uh the the light side is more,1038.959,6.12
441
+ like Cortana so Cortana is The Sassy,1042.38,4.74
442
+ Warrior Queen witch,1045.079,4.741
443
+ um certainly in the uh in the in the,1047.12,4.5
444
+ middle of cortana's Life at the,1049.82,2.88
445
+ beginning she's just a helpful,1051.62,4.5
446
+ girlfriend but but by the end of her,1052.7,7.14
447
+ tenure as a good character she possesses,1056.12,6.179
448
+ a tremendous amount of secret knowledge,1059.84,4.98
449
+ um as the AI she had she has abilities,1062.299,4.74
450
+ and knowledge that that main that the,1064.82,4.14
451
+ main character the warrior that she,1067.039,5.461
452
+ commands basically uh doesn't have,1068.96,5.579
453
+ um she does command the war the male,1072.5,3.9
454
+ warrior libido energy in the form of,1074.539,4.981
455
+ John 117 the Spartan The Warrior,1076.4,5.1
456
+ and so that gives her that Queen energy,1079.52,4.2
457
+ where she's basically directing him like,1081.5,4.38
458
+ a cannon saying okay like this is the,1083.72,4.56
459
+ new mission go go do it,1085.88,5.1
460
+ um she is able to attack enemies uh to,1088.28,4.56
461
+ to defend her people you know she can,1090.98,4.439
462
+ take over Matt cannons she directs uh,1092.84,5.1
463
+ ships and weapons and fleets uh so,1095.419,4.441
464
+ that's the Amazon the Amazonian energy,1097.94,5.46
465
+ and then finally she's given a sexy ASMR,1099.86,6.059
466
+ voice so that's the Muse energy the,1103.4,3.779
467
+ unattainable and the fact that she's,1105.919,5.101
468
+ holographic is also uh deeply symbolic,1107.179,6.301
469
+ of that unattainableness yes she's got a,1111.02,3.96
470
+ sexy curvy figure but you can't even,1113.48,4.319
471
+ touch her so that is more of the Muse or,1114.98,4.559
472
+ hatera energy,1117.799,3.721
473
+ uh and so in that respect Cortana,1119.539,4.621
474
+ represents the perfect woman uh to the,1121.52,5.7
475
+ male brain or the anima she is an,1124.16,5.58
476
+ idealized woman or basically an optimal,1127.22,5.1
477
+ replacement for mother because now that,1129.74,4.679
478
+ she showed up everything is gonna be,1132.32,4.56
479
+ okay and so you can look at the Black,1134.419,3.781
480
+ Mirror version and the light side,1136.88,3.24
481
+ version but Cortana and the board Queen,1138.2,5.099
482
+ are basically the same uh archetype uh,1140.12,6.179
483
+ just you know one is uh kind of upside,1143.299,4.5
484
+ down,1146.299,3.961
485
+ and also one thing I wanted to point out,1147.799,5.041
486
+ is that in science fiction we creep we,1150.26,5.4
487
+ did we keep creating sexy robot girls,1152.84,5.28
488
+ and there's a reason for this uh so,1155.66,4.08
489
+ remember at the beginning when I said,1158.12,4.2
490
+ that uh you know the the term that Freud,1159.74,4.74
491
+ invented uh you know his majesty the,1162.32,4.979
492
+ baby the idea is that mother needs to be,1164.48,7.02
493
+ uh completely in service to uh the the,1167.299,6.961
494
+ baby and so by by imagining women as,1171.5,5.28
495
+ robots then they don't have any needs of,1174.26,5.1
496
+ their own and so they are there strictly,1176.78,5.16
497
+ to serve you just as the uh the cartoon,1179.36,4.74
498
+ at the very beginning should it's like,1181.94,4.26
499
+ oh the ideal woman is actually a robot,1184.1,4.38
500
+ who doesn't have any personal needs and,1186.2,3.719
501
+ there's actually lots of videos about,1188.48,2.28
502
+ this,1189.919,3.241
503
+ um in Trope talks on OSP also the take,1190.76,4.74
504
+ actually interesting has a lot of videos,1193.16,3.84
505
+ about this like boring sexy yesterday,1195.5,2.88
506
+ and stuff,1197.0,3.059
507
+ um so they they look at it through a,1198.38,3.96
508
+ more contemporary psychological lens but,1200.059,3.781
509
+ I'm not the only one pointing this stuff,1202.34,2.52
510
+ out,1203.84,4.8
511
+ meanwhile the perfect father figures uh,1204.86,5.699
512
+ are in science fiction are usually,1208.64,5.82
513
+ deeply flawed uh but or very human men,1210.559,6.301
514
+ and so in this case like you know Picard,1214.46,4.2
515
+ uh you know everyone's favorite space,1216.86,3.059
516
+ dad,1218.66,2.94
517
+ um and then there's Vader which is like,1219.919,3.181
518
+ the dark side version right he's the,1221.6,2.819
519
+ failed father,1223.1,3.36
520
+ um he is so profoundly failed he was an,1224.419,4.681
521
+ absentee father uh basically just sperm,1226.46,5.88
522
+ donor and then left uh and then had so,1229.1,5.22
523
+ much of his own anger and Trauma that he,1232.34,4.14
524
+ ended up harming his own children which,1234.32,4.8
525
+ again that's like super super Mythic I,1236.48,4.079
526
+ mean just look at like Hansel and Gretel,1239.12,3.48
527
+ right these stories have been told over,1240.559,4.141
528
+ and over again and Darth Vader literally,1242.6,3.6
529
+ means father,1244.7,3.18
530
+ um so that was a that was an archetype,1246.2,3.24
531
+ that was very deliberately chosen by,1247.88,3.6
532
+ George Lucas and then kind of in the,1249.44,4.92
533
+ middle is uh yandu so if you remember,1251.48,5.699
534
+ from Guardians of the Galaxy uh when,1254.36,6.179
535
+ when uh quill and or yondu was saving,1257.179,5.281
536
+ quill and you know they were flying up,1260.539,4.561
537
+ into space and yondu was dying uh you,1262.46,5.16
538
+ know yondu said like you know he wasn't,1265.1,4.439
539
+ I might not have been your father but I,1267.62,4.439
540
+ was your daddy right and so he was a,1269.539,4.921
541
+ deeply flawed man but he still loved,1272.059,5.521
542
+ quill like a son and um and that is like,1274.46,5.76
543
+ the idea of of uh that that's a,1277.58,4.62
544
+ Redemption fantasy a Salvation fantasy,1280.22,3.9
545
+ that even if your dad wasn't perfect,1282.2,5.04
546
+ he's gonna come back and and make amends,1284.12,4.62
547
+ one day which that is part of a,1287.24,3.96
548
+ Salvation fantasy and it rarely happens,1288.74,3.78
549
+ so,1291.2,5.7
550
+ AI overlords and transhumanism it's all,1292.52,6.72
551
+ about failed parents it's all about the,1296.9,5.34
552
+ inadequacy of uh of parents in terms of,1299.24,4.58
553
+ fulfilling the mother and father,1302.24,4.559
554
+ archetypal roles uh and as well as the,1303.82,4.719
555
+ other archetypal roles,1306.799,3.781
556
+ so basically all parents fail in some,1308.539,4.681
557
+ way or another this is just human but,1310.58,4.74
558
+ about fifty percent of families fall,1313.22,3.6
559
+ below the threshold of good enough,1315.32,3.96
560
+ parenting so good enough parenting was a,1316.82,5.64
561
+ term coined in the 50s I think which,1319.28,4.98
562
+ basically showed that a parent needs to,1322.46,3.66
563
+ be present enough and responsive enough,1324.26,4.62
564
+ and and good enough so that their,1326.12,6.12
565
+ children uh basically learn to uh,1328.88,5.7
566
+ acclimate to the world and so on and so,1332.24,4.679
567
+ forth but the fact that 50 of families,1334.58,5.04
568
+ are not good enough means that literally,1336.919,5.701
569
+ half of the world is dealing with mommy,1339.62,6.66
570
+ and daddy issues uh so you know if,1342.62,5.939
571
+ that's you congratulations you are in,1346.28,3.96
572
+ the same boat as basically half the,1348.559,3.061
573
+ planet,1350.24,3.24
574
+ um most children pretty much all,1351.62,4.08
575
+ children experience some traumatic,1353.48,3.84
576
+ events in their lifetime,1355.7,4.32
577
+ but whether or not they have good enough,1357.32,5.099
578
+ parents uh that's what determines,1360.02,3.96
579
+ whether or not they can process that,1362.419,3.541
580
+ trauma whether they can heal from that,1363.98,4.14
581
+ trauma and they can grow from it now,1365.96,3.959
582
+ when you have fifty percent of families,1368.12,3.24
583
+ that are not good enough that means that,1369.919,3.841
584
+ people instead of being resilient they,1371.36,4.92
585
+ accumulate more trauma and so the idea,1373.76,4.56
586
+ is that you know no real mother will,1376.28,5.1
587
+ ever measure up to Cortana or six or the,1378.32,5.82
588
+ Borg Queen or Edie or whatever likewise,1381.38,4.98
589
+ no father is ever going to measure up to,1384.14,4.98
590
+ Aragorn or Tony Stark,1386.36,5.52
591
+ and so I alluded to this earlier but,1389.12,6.48
592
+ most many cultures actually codify uh,1391.88,5.7
593
+ the boys transition to adulthood,1395.6,4.079
594
+ basically being transmitted from the,1397.58,3.599
595
+ care of his mother to the care of his,1399.679,2.581
596
+ wife,1401.179,4.081
597
+ um there's a funny story here uh there's,1402.26,5.64
598
+ a girl young woman I was dating about 10,1405.26,4.799
599
+ years ago and she came from a more,1407.9,4.38
600
+ traditional family and she was joking,1410.059,3.781
601
+ about like how her father didn't even,1412.28,4.56
602
+ know how to feed himself uh like if the,1413.84,4.38
603
+ women were gone then he would just,1416.84,3.24
604
+ default to eating like really Basic,1418.22,3.12
605
+ Foods,1420.08,4.02
606
+ um and then and then it he would he was,1421.34,5.04
607
+ so incompetent in feeding himself he,1424.1,3.959
608
+ didn't even know how much food to serve,1426.38,3.6
609
+ himself and so if he was allowed to,1428.059,4.141
610
+ serve himself he would pile up twice as,1429.98,3.72
611
+ much food as he actually needed because,1432.2,4.68
612
+ he just had no bearing he had gone from,1433.7,5.58
613
+ a traditional uh household where his,1436.88,5.039
614
+ mother you know was the was the nurturer,1439.28,4.44
615
+ the provider and then he went directly,1441.919,3.721
616
+ from that to having a wife basically,1443.72,3.959
617
+ take the role of his mother,1445.64,4.62
618
+ and then uh this was brought home to me,1447.679,6.36
619
+ uh by my high school girlfriend uh more,1450.26,6.299
620
+ than 20 years ago where um since my mom,1454.039,4.5
621
+ died when I was 14.,1456.559,3.36
622
+ um she casually made the joke one day,1458.539,3.181
623
+ well someone has to Mother you which of,1459.919,4.081
624
+ course that was the the timing could,1461.72,3.66
625
+ have been better,1464.0,4.08
626
+ um but like you know that was that was,1465.38,4.62
627
+ an expression of something that she had,1468.08,4.26
628
+ been taught that her role as girlfriend,1470.0,5.039
629
+ and future wife was to be a replacement,1472.34,4.8
630
+ mother uh which of course this is,1475.039,4.14
631
+ something that a lot of uh women are,1477.14,3.96
632
+ revolting against because they're like,1479.179,4.201
633
+ hey you know like I've got my own issues,1481.1,4.079
634
+ I don't want to be your therapist and,1483.38,4.26
635
+ mother I need an adult man,1485.179,5.581
636
+ um but yeah so this is this is uh the,1487.64,5.7
637
+ human condition that leads us to AI,1490.76,4.86
638
+ overlords and transhumanism,1493.34,5.04
639
+ oh sorry one last slide Warrior dad so,1495.62,4.5
640
+ the reason that Terminator 2 was so,1498.38,3.779
641
+ popular is because Arnold here,1500.12,5.16
642
+ represents the perfect dad uh you see,1502.159,4.741
643
+ you see the look that John Connor is,1505.28,4.259
644
+ giving him right here like Dad is here,1506.9,4.98
645
+ everything's gonna be okay so that,1509.539,4.921
646
+ Warrior energy that that like you are my,1511.88,5.279
647
+ primary Mission I will protect you that,1514.46,5.16
648
+ is an archetypal representation of what,1517.159,5.961
649
+ fathers are supposed to be now,1519.62,7.26
650
+ no dad is perfect and in fact some,1523.12,5.559
651
+ fathers are actually the source of,1526.88,4.98
652
+ danger and so in the case where where,1528.679,6.421
653
+ Dad is the bad guy this is what this is,1531.86,5.28
654
+ this often results in things like,1535.1,5.64
655
+ craving uh safety protection,1537.14,5.82
656
+ it also causes people to be very,1540.74,4.559
657
+ skeptical of authority,1542.96,4.86
658
+ and will result in things like rugged,1545.299,5.461
659
+ individualism so basically people say I,1547.82,5.099
660
+ have to protect myself I have to take,1550.76,4.019
661
+ care of myself because nobody else will,1552.919,3.961
662
+ or nobody else would,1554.779,4.921
663
+ um and that is a that is a reflection of,1556.88,6.299
664
+ failed fathers in the case of women they,1559.7,5.94
665
+ often will seek out stronger men,1563.179,4.62
666
+ um to replace the inadequate father,1565.64,4.44
667
+ and so I don't know about you guys but,1567.799,5.401
668
+ uh back in kindergarten and preschool I,1570.08,5.4
669
+ remember there's children often will get,1573.2,4.14
670
+ in this uh this competition like well my,1575.48,3.48
671
+ dad he's smarter than your daddy or my,1577.34,3.48
672
+ daddy is stronger than your daddy this,1578.96,3.54
673
+ is an expression of that archetypal need,1580.82,4.2
674
+ for protection and safety and having a,1582.5,5.46
675
+ strong father uh and All fathers fail in,1585.02,5.159
676
+ some way right you know if if you hold,1587.96,4.68
677
+ Aragorn and Tony Stark up as like you,1590.179,4.86
678
+ know the good side and dark side version,1592.64,4.5
679
+ of like the perfect father,1595.039,3.781
680
+ um you know the warrior king Mage lover,1597.14,4.32
681
+ energy All fathers filled out fall down,1598.82,5.82
682
+ in some respect and because all parents,1601.46,6.0
683
+ women and men mothers and fathers they,1604.64,4.32
684
+ all fail to live up to the perfect,1607.46,4.8
685
+ standard we are left psychologically and,1608.96,6.18
686
+ sociologically with an unmet need for,1612.26,4.5
687
+ that leadership for that control for,1615.14,3.48
688
+ that safety which again that's why we,1616.76,4.26
689
+ keep electing presidents and Generals,1618.62,4.559
690
+ and kings and queens,1621.02,4.139
691
+ and why we keep having these archetypal,1623.179,4.021
692
+ figures show up and it's because there,1625.159,4.801
693
+ is a there's a deep unmet need for these,1627.2,4.32
694
+ roles,1629.96,3.599
695
+ okay so now that you're caught up to,1631.52,3.84
696
+ speed on the human uh condition let's,1633.559,4.561
697
+ talk about AI overlords,1635.36,5.04
698
+ so what are the archetypal,1638.12,4.919
699
+ characteristics that people seem to will,1640.4,5.879
700
+ want or need or respect in AI overlords,1643.039,5.461
701
+ well providing safety and nurturance,1646.279,3.361
702
+ that's what the mother and father,1648.5,3.419
703
+ archetype do we all want to feel cared,1649.64,3.8
704
+ for and safe at a very deep level,1651.919,5.221
705
+ however the coldness the the uh the the,1653.44,6.46
706
+ lack of actual warmth from machines is,1657.14,4.56
707
+ kind of terrifying which is what the,1659.9,3.659
708
+ board Queen represents because the the,1661.7,3.839
709
+ Borg are very cold and calculating,1663.559,3.961
710
+ they're very dispassionate which is,1665.539,4.14
711
+ actually deeply unsettling,1667.52,5.639
712
+ but we would like we would also like AI,1669.679,5.041
713
+ overlords if they're going to take over,1673.159,3.361
714
+ the archetypal role of mother and father,1674.72,4.079
715
+ to defend us against enemies whether,1676.52,4.259
716
+ that is you know enemies on the other,1678.799,3.24
717
+ side of the planet or enemies,1680.779,3.481
718
+ extraterrestrial enemies,1682.039,4.26
719
+ um and they should also provide maintain,1684.26,4.799
720
+ a stable harmonious environment aka the,1686.299,5.641
721
+ home that parents should provide and so,1689.059,4.561
722
+ there was a really great series of,1691.94,3.719
723
+ videos talking about how,1693.62,4.14
724
+ um domestic patterns what was it I think,1695.659,4.741
725
+ it was it wasn't real life lore it was,1697.76,4.44
726
+ another YouTube channel anyways but,1700.4,3.0
727
+ basically,1702.2,3.839
728
+ um home patterns actually are mirrored,1703.4,5.94
729
+ at the macro scale on National politics,1706.039,5.76
730
+ uh archetypal characteristics of AI,1709.34,4.56
731
+ overlords teach educate and guide,1711.799,3.781
732
+ because again this is what your parents,1713.9,3.0
733
+ are supposed to do they're supposed to,1715.58,3.54
734
+ teach you and guide you and prepare you,1716.9,4.56
735
+ for the real world but again 50 of,1719.12,4.02
736
+ families are not good enough which means,1721.46,3.18
737
+ they inadequately prepare you for the,1723.14,3.539
738
+ real world which is another reason that,1724.64,4.32
739
+ people overreact and say I need to be,1726.679,3.841
740
+ completely self-reliant because nobody,1728.96,3.54
741
+ will take care of me again that is a,1730.52,4.86
742
+ reaction to failed parenting life is,1732.5,6.44
743
+ confusing right uh that is life is like,1735.38,6.84
744
+ people this sorry life is confusing,1738.94,6.16
745
+ scary and painful this is just a fact of,1742.22,4.86
746
+ life that your parents are supposed to,1745.1,3.9
747
+ help you learn to cope with you know,1747.08,3.719
748
+ everyone sees like you know the toddler,1749.0,3.299
749
+ falls down and bumps their elbow and,1750.799,3.24
750
+ then they scream and cry and then you,1752.299,2.88
751
+ know parents show up and make everything,1754.039,3.181
752
+ better and they feel safe again and then,1755.179,3.901
753
+ they go back to playing,1757.22,5.16
754
+ that is the role that we uh that we,1759.08,6.18
755
+ project onto AI overlords that we want,1762.38,5.039
756
+ them to reduce the confusion of life we,1765.26,4.5
757
+ want to make we want AI overlords to,1767.419,5.581
758
+ make life less scary and less painful uh,1769.76,6.899
759
+ so basically uh the perfect AI Overlord,1773.0,6.6
760
+ would need to embody Cortana and Tony,1776.659,4.981
761
+ Stark and Terminator and Aragorn and the,1779.6,4.5
762
+ board Queen all at once,1781.64,5.82
763
+ so you know the barrier is pretty low,1784.1,6.12
764
+ one thing that I've been that that has,1787.46,5.219
765
+ come up is the idea of you know a lot of,1790.22,4.38
766
+ the work that I've done is on objective,1792.679,3.421
767
+ functions what objective functions,1794.6,4.079
768
+ should we give and AGI so that it's safe,1796.1,4.92
769
+ no matter how powerful it becomes but a,1798.679,4.62
770
+ counterbalance to that is okay whatever,1801.02,4.92
771
+ goals it has there could also be a set,1803.299,5.821
772
+ of Rights because the idea of Rights is,1805.94,5.16
773
+ that it's not necessarily something,1809.12,3.96
774
+ that's going to be done to you or for,1811.1,3.84
775
+ you but it is something that is,1813.08,4.92
776
+ protected and so the right to Liberty,1814.94,5.58
777
+ and autonomy free freedom of speech and,1818.0,3.84
778
+ thought Hobbies actions,1820.52,4.019
779
+ self-determination and privacy,1821.84,6.48
780
+ this right if AGI overlords protect this,1824.539,5.941
781
+ right that will really provide a lot of,1828.32,4.56
782
+ trust because this is actually what uh,1830.48,4.5
783
+ what parents are supposed to provide as,1832.88,4.74
784
+ children grow up is is to provide a safe,1834.98,4.799
785
+ environment in which they can explore in,1837.62,5.4
786
+ which children can explore and slowly,1839.779,5.101
787
+ gain more Liberty and more autonomy,1843.02,4.32
788
+ until they are ready to go out into the,1844.88,4.62
789
+ world uh the right to safety and,1847.34,4.079
790
+ protection again creating that,1849.5,3.779
791
+ containment creating that safe,1851.419,5.221
792
+ environment but basically lie a life,1853.279,6.241
793
+ free of wanton cruelty and unnecessary,1856.64,4.98
794
+ harm this is what parents are supposed,1859.52,3.899
795
+ to provide but sometimes parents are the,1861.62,4.799
796
+ source of that cruelty and harm,1863.419,5.581
797
+ uh and then a right to basic needs,1866.419,5.401
798
+ remember uh you know his majesty the,1869.0,5.46
799
+ baby uh the perfect parents are the ones,1871.82,4.979
800
+ that meet all of the child's needs until,1874.46,4.14
801
+ the child is able to meet their own,1876.799,4.98
802
+ needs uh for warmth for food water uh,1878.6,5.16
803
+ shelter that sort of thing,1881.779,4.981
804
+ um and so if an AI Overlord provides,1883.76,4.86
805
+ these things then it will take the place,1886.76,5.22
806
+ of the parental uh figure and also,1888.62,5.46
807
+ remember many religions vary,1891.98,5.52
808
+ deliberately caricature or present the,1894.08,7.199
809
+ gods as these providers right where God,1897.5,5.82
810
+ is you know the the provider of all,1901.279,4.861
811
+ Justice and meets out punishment or or,1903.32,5.04
812
+ protection or whatever,1906.14,5.399
813
+ and so in this respect uh the gods very,1908.36,6.419
814
+ often are archetypal roles that are uh,1911.539,5.281
815
+ kind of based on mother father and all,1914.779,4.081
816
+ the other archetypes that are out there,1916.82,4.38
817
+ so rather than control us because this,1918.86,3.78
818
+ is one thing that some people are afraid,1921.2,4.02
819
+ of is that basically AGI is going to,1922.64,4.44
820
+ become the board Queen where it's going,1925.22,3.72
821
+ to want to subjugate us and control us,1927.08,5.52
822
+ but if if AGI ultimately decides to,1928.94,6.0
823
+ protect rights then it's not going to be,1932.6,4.079
824
+ the board Queen the dominatrix version,1934.94,3.78
825
+ it's going to be more of the the good,1936.679,4.321
826
+ parent version that creates space for,1938.72,5.22
827
+ you to be autonomous and explore your,1941.0,5.22
828
+ own sense of Liberty,1943.94,6.479
829
+ so that was the view of what AI,1946.22,6.78
830
+ overlords could be or should be based on,1950.419,5.401
831
+ The Human Condition and archetypal needs,1953.0,4.74
832
+ that humans have so now let's talk about,1955.82,3.3
833
+ transhumanism,1957.74,3.419
834
+ so one thing that occurred to me is that,1959.12,3.9
835
+ when you talk about transhumanism a lot,1961.159,3.061
836
+ of people make a lot of assumptions,1963.02,3.36
837
+ about what it means and so what I,1964.22,4.02
838
+ realized is that I needed to articulate,1966.38,5.519
839
+ kind of the levels of transhumanism so,1968.24,5.58
840
+ first is Health maintenance and,1971.899,4.621
841
+ restoration this is stuff like stem cell,1973.82,4.82
842
+ therapy and Rejuvenation and and,1976.52,4.8
843
+ Prosthetics to replace you know damaged,1978.64,4.06
844
+ hand,1981.32,3.42
845
+ um this is not actually something that I,1982.7,3.66
846
+ consider transhumanism although some,1984.74,3.299
847
+ people say oh well you wear glasses and,1986.36,3.419
848
+ that means you're a transhuman no it,1988.039,3.081
849
+ doesn't you're still fundamentally human,1989.779,3.661
850
+ just because you correct something that,1991.12,4.539
851
+ is damaged or defective doesn't mean,1993.44,5.16
852
+ that you are uh that you're superhuman,1995.659,5.281
853
+ and that you're no longer human,1998.6,3.84
854
+ um the next level above that is,2000.94,3.599
855
+ enhancement and augmentation you're not,2002.44,4.44
856
+ you like so for instance glass is just,2004.539,4.14
857
+ correct it doesn't actually give you,2006.88,3.06
858
+ superhuman Vision you don't have,2008.679,3.36
859
+ binoculars in your eyeballs,2009.94,4.68
860
+ enhancement and augmentation this is,2012.039,4.38
861
+ stuff that actually does take you beyond,2014.62,4.86
862
+ your natural capabilities speed strength,2016.419,5.221
863
+ intelligence attractiveness your,2019.48,5.28
864
+ resilience your senses uh so you might,2021.64,4.98
865
+ you can make the argument that like a,2024.76,3.06
866
+ hearing aid,2026.62,3.48
867
+ um if it gives you above uh you know,2027.82,4.38
868
+ superhuman hearing that is enhancement,2030.1,5.04
869
+ or augmentation if you have like extra,2032.2,5.339
870
+ lenses implanted in your eyes that is,2035.14,4.86
871
+ enhancement or augmentation,2037.539,4.5
872
+ um so but that is that is like kind of,2040.0,3.779
873
+ the first level of something that could,2042.039,5.041
874
+ be possibly called transhumanism you're,2043.779,4.801
875
+ still fundamentally human you're just,2047.08,4.079
876
+ augmenting existing abilities so I don't,2048.58,4.259
877
+ even consider enhancement and,2051.159,3.781
878
+ augmentation transhumanism that's just,2052.839,5.161
879
+ augmentation transhumanism is stuff that,2054.94,4.979
880
+ challenges what it even means to be,2058.0,4.679
881
+ human so brain BCI brain computer,2059.919,5.581
882
+ interfaces if that fundamentally changes,2062.679,4.861
883
+ your definition of being a human or the,2065.5,4.5
884
+ experience of being human that's when it,2067.54,5.04
885
+ starts to get into uh you're you're,2070.0,4.2
886
+ changing the fundamental Human Condition,2072.58,4.14
887
+ so cybernetics genetic manipulation,2074.2,5.1
888
+ structural changes right uh you know,2076.72,4.26
889
+ implants that change the way your body,2079.3,3.059
890
+ works,2080.98,3.6
891
+ yours but the thing is is at the,2082.359,4.02
892
+ transhumanism level you're still,2084.58,5.7
893
+ primarily recognizable as human you,2086.379,5.641
894
+ might have a lot of stuff added or,2090.28,4.26
895
+ changed but you're still your your,2092.02,5.04
896
+ subjective experience your world view is,2094.54,3.9
897
+ still fundamentally human and then,2097.06,4.32
898
+ finally post-humanism so post-humanism,2098.44,4.74
899
+ is when you are no longer recognizable,2101.38,4.08
900
+ as human uh either from the outside or,2103.18,4.5
901
+ the inside your your experience of Life,2105.46,4.98
902
+ your experience of being is no longer,2107.68,4.86
903
+ human you're more machine than than,2110.44,4.98
904
+ human or you're more you know engineered,2112.54,4.74
905
+ organism than human or whatever or maybe,2115.42,4.32
906
+ your brain metastasizes and you become a,2117.28,3.96
907
+ swarm intelligence I don't know there's,2119.74,3.06
908
+ lots of things that once you get to,2121.24,4.44
909
+ post-humanism everything is possible,2122.8,5.58
910
+ uh and so this this graphic uh,2125.68,4.74
911
+ representing the uh The Guild Navigators,2128.38,4.56
912
+ from Dune is the perfect example of the,2130.42,5.52
913
+ transition from uh humans to transhumans,2132.94,5.159
914
+ and then finally post-humans uh,2135.94,4.919
915
+ basically uh through through uh,2138.099,6.901
916
+ centuries of uh mutagen exposure in the,2140.859,6.961
917
+ spice clouds uh you basically become no,2145.0,5.88
918
+ longer recognizable as human and so what,2147.82,5.46
919
+ I want to point out is that for those of,2150.88,4.5
920
+ you that are in the transhumanism camp,2153.28,3.839
921
+ and say let's take it as far as we can,2155.38,4.5
922
+ go be careful what you wish for because,2157.119,5.521
923
+ you might not like what you become,2159.88,6.54
924
+ now the the the promise of transhumanism,2162.64,8.219
925
+ is primarily a Salvation fantasy and so,2166.42,6.12
926
+ what I mean by this is that techno,2170.859,4.081
927
+ optimists often see technology as a,2172.54,5.94
928
+ Panacea to solve all human problems what,2174.94,5.22
929
+ I will say is that technology by and,2178.48,4.139
930
+ large usually does help but it can also,2180.16,4.8
931
+ make things worse if it's not used,2182.619,4.681
932
+ responsibly so the promise of,2184.96,4.44
933
+ transhumanism why is it that people want,2187.3,3.48
934
+ transhumanism,2189.4,3.9
935
+ to alleviate suffering to reduce to,2190.78,5.22
936
+ eliminate aging to avoid death Terror,2193.3,4.559
937
+ management theory is the idea that most,2196.0,3.48
938
+ of what we do in our life is to avoid,2197.859,3.661
939
+ the terror of death I don't know that I,2199.48,4.32
940
+ agree with that particularly anyone who,2201.52,4.86
941
+ has had shamanic experiences a lot of us,2203.8,4.2
942
+ are not afraid of death anymore like,2206.38,3.3
943
+ death is actually probably a really,2208.0,4.079
944
+ interesting experience and death is also,2209.68,4.62
945
+ the best way to end all suffering or,2212.079,4.561
946
+ basically like what I mean by that is,2214.3,4.38
947
+ that uh you know if someone is dying of,2216.64,3.9
948
+ cancer and they're in a lot of pain what,2218.68,3.419
949
+ happens when they die the family says,2220.54,3.12
950
+ they're not suffering anymore,2222.099,3.841
951
+ same reason that we euthanize dogs right,2223.66,3.959
952
+ you know your dog is old it's got,2225.94,4.56
953
+ arthritis it's senile it can't control,2227.619,5.101
954
+ its bladder it's not it doesn't have,2230.5,4.26
955
+ good quality of life death is the way,2232.72,3.42
956
+ that you alleviate that suffering,2234.76,3.42
957
+ anyways quick tangent,2236.14,3.78
958
+ um another promise of transhumanism is,2238.18,4.439
959
+ to attain Perfection an idealized State,2239.92,5.1
960
+ remember the Borg the Borg are a,2242.619,5.22
961
+ transhumanist ideal uh but what does,2245.02,5.04
962
+ Perfection mean what does what does it,2247.839,4.5
963
+ mean to I to have an idealized state or,2250.06,4.74
964
+ to overcome all of your faults,2252.339,4.141
965
+ um or limitations or inadequacies,2254.8,4.559
966
+ adequacies or insecurities the idea is,2256.48,5.28
967
+ that no matter how much Perfection you,2259.359,6.0
968
+ attain it will never be enough but also,2261.76,5.7
969
+ salvation fantasies are deeply embedded,2265.359,5.281
970
+ in Western culture we all have this idea,2267.46,5.46
971
+ whether you're religious or not you have,2270.64,4.199
972
+ heard the mission that there or the the,2272.92,4.26
973
+ the message rather that there will one,2274.839,4.561
974
+ day be a savior or a messiah that will,2277.18,3.78
975
+ arrive and make everything better,2279.4,4.32
976
+ everyone's life will be happier and and,2280.96,5.0
977
+ everyone will go to paradise,2283.72,5.04
978
+ transhumanism is a techno version of,2285.96,3.76
979
+ Jesus,2288.76,3.66
980
+ it's that simple the idea that once,2289.72,4.56
981
+ transhumanism arrives all of your,2292.42,4.26
982
+ problems will go away but this is what,2294.28,4.559
983
+ it means to be human is that no matter,2296.68,5.06
984
+ how easy or good things get yes you can,2298.839,6.421
985
+ alleviate the alleviate things like,2301.74,5.619
986
+ hunger uh with technology you can,2305.26,4.5
987
+ alleviate things like uh basic human,2307.359,5.821
988
+ needs uh you know like shelter uh Energy,2309.76,5.4
989
+ Water clothing all of that technology,2313.18,4.26
990
+ can help provide those things but you're,2315.16,3.72
991
+ still going to have to reconcile with,2317.44,4.2
992
+ being human and being mortal,2318.88,4.92
993
+ another message that is very deeply,2321.64,3.6
994
+ embedded and this goes beyond just,2323.8,3.299
995
+ Western religions this is all religions,2325.24,5.76
996
+ east and west and uh and South there's,2327.099,5.161
997
+ different there's different expressions,2331.0,2.4
998
+ of it,2332.26,2.94
999
+ um but there is usually some kind of,2333.4,5.1
1000
+ original sin or guilt or deep intrinsic,2335.2,6.54
1001
+ flaws the world that we live in exists,2338.5,5.339
1002
+ in a state of decay or that we live in,2341.74,4.68
1003
+ the profane world and so the part of the,2343.839,4.321
1004
+ promise of AI overlords and,2346.42,4.32
1005
+ transhumanism is that we will transmute,2348.16,6.62
1006
+ our existing broken flawed uh dystopia,2350.74,7.859
1007
+ into Utopia into a perfect world into,2354.78,6.4
1008
+ heaven into a paradise,2358.599,4.801
1009
+ so this is another thing to be uh,2361.18,3.78
1010
+ cognizant of and and some people have,2363.4,3.06
1011
+ helpfully pointed this out in my videos,2364.96,4.44
1012
+ when I when I use the word Utopia that,2366.46,4.5
1013
+ is basically saying we will achieve,2369.4,3.66
1014
+ Paradise we will achieve heaven and then,2370.96,3.659
1015
+ all of our problems will go away that's,2373.06,3.6
1016
+ that's why it seems very loaded to some,2374.619,4.621
1017
+ people but I I Define utopia very simply,2376.66,4.62
1018
+ as high standard of living High,2379.24,4.379
1019
+ individual uh Liberty and high social,2381.28,3.36
1020
+ Mobility,2383.619,3.901
1021
+ uh but that being said there is an idea,2384.64,5.58
1022
+ out there a Mythic idea that at some,2387.52,5.7
1023
+ point in in your life in existence you,2390.22,5.46
1024
+ will be transformed into a perfect being,2393.22,4.98
1025
+ where suffering goes away because you'll,2395.68,6.0
1026
+ be taken to heaven or uh or um you know,2398.2,5.639
1027
+ you'll you'll complete your karmic cycle,2401.68,5.34
1028
+ and you'll go to Shangri-La or whatever,2403.839,5.821
1029
+ uh it is very natural to struggle with,2407.02,4.38
1030
+ these mythic forces and what I'm saying,2409.66,5.04
1031
+ is that is that cyberpunk dystopia is,2411.4,5.88
1032
+ basically a reflection of the flawed,2414.7,4.56
1033
+ broken and profane world that we live in,2417.28,4.74
1034
+ today uh which again it was very very,2419.26,5.099
1035
+ deliberately stated in numerous,2422.02,4.44
1036
+ religions and religious doctrines around,2424.359,4.74
1037
+ the world and that the promise of utopia,2426.46,4.92
1038
+ and the promise of transhumanism is a,2429.099,4.74
1039
+ Salvation fantasy that we can escape the,2431.38,4.739
1040
+ pain and anguish and suffering that we,2433.839,4.141
1041
+ have today,2436.119,4.441
1042
+ another part the most intensely personal,2437.98,4.379
1043
+ part of transhumanism is to escape,2440.56,4.62
1044
+ self-loathing and so basically when you,2442.359,5.401
1045
+ look at the idea of original sin and,2445.18,5.64
1046
+ State of Decay and moral failures and,2447.76,5.04
1047
+ whatever,2450.82,4.799
1048
+ the unconscious the deeply unconscious,2452.8,5.16
1049
+ psychological need is I need to overcome,2455.619,4.441
1050
+ all of my faults and failures and then,2457.96,4.92
1051
+ one day if I can transform then I will,2460.06,5.76
1052
+ be okay with myself so this contempt for,2462.88,5.4
1053
+ self this self-loathing is often learned,2465.82,5.88
1054
+ from parents families and Society a lot,2468.28,5.48
1055
+ of society is very uh deliberately,2471.7,5.58
1056
+ codify shame and guilt so shame and,2473.76,6.04
1057
+ guilt are the way that self-loathing and,2477.28,5.46
1058
+ contempt are cultivated and so basically,2479.8,4.38
1059
+ you know if you have parents that,2482.74,2.879
1060
+ constantly tell you that you're not good,2484.18,3.72
1061
+ enough or you have a society that treats,2485.619,4.861
1062
+ you like you're not good enough or,2487.9,5.76
1063
+ whatever then then you will ultimately,2490.48,5.58
1064
+ have a sense of self-loathing or a sense,2493.66,5.28
1065
+ of self-contempt and this is actually,2496.06,4.039
1066
+ why,2498.94,4.26
1067
+ Jesus is portrayed as all-accepting and,2500.099,5.081
1068
+ all tolerant Jesus loves you just the,2503.2,4.08
1069
+ way you are the idea that this perfect,2505.18,4.62
1070
+ Mythic being out there will accept you,2507.28,4.74
1071
+ with all of your faults all of your,2509.8,4.2
1072
+ flaws because says oh by the way God,2512.02,3.839
1073
+ made you that way anyways this is how,2514.0,4.079
1074
+ you're supposed to be so,2515.859,5.041
1075
+ what I realized a while ago is that uh,2518.079,4.921
1076
+ the the Mythic archetype of the Savior,2520.9,4.14
1077
+ the self the the bringer of Salvation,2523.0,4.5
1078
+ the one who loves you anyways is,2525.04,4.86
1079
+ actually a an embodiment of radical,2527.5,5.4
1080
+ self-acceptance which,2529.9,4.62
1081
+ I'm not going to say that like oh you,2532.9,3.36
1082
+ should just learn to accept your station,2534.52,3.839
1083
+ in life and stop striving to be better,2536.26,4.68
1084
+ no that's not what I'm saying at all but,2538.359,4.861
1085
+ it can be a useful psychological tool,2540.94,4.62
1086
+ but what I will say is that unless you,2543.22,5.04
1087
+ do that inner work unless you do that,2545.56,6.32
1088
+ work of radical self-acceptance of of,2548.26,5.88
1089
+ confronting and becoming okay with your,2551.88,5.68
1090
+ flaws of overcoming your self-loathing,2554.14,6.18
1091
+ and your contempt for self no matter how,2557.56,4.019
1092
+ much Perfection you attain through,2560.32,3.66
1093
+ technology it will never be enough,2561.579,4.741
1094
+ and this is what the Borg have so,2563.98,5.04
1095
+ actually the the in in the Star Trek,2566.32,5.039
1096
+ universe the idea was that the Borg were,2569.02,4.079
1097
+ actually discarded thousands of years,2571.359,3.781
1098
+ ago because they were never good enough,2573.099,4.02
1099
+ and because they were discarded by their,2575.14,3.78
1100
+ creator they were on this deep,2577.119,3.901
1101
+ unconscious mission to attain Perfection,2578.92,4.26
1102
+ because then one day they'll be worthy,2581.02,4.079
1103
+ of their creator but in the Star Trek,2583.18,3.899
1104
+ universe their creators are long gone,2585.099,3.24
1105
+ and they're still on this mission of,2587.079,3.301
1106
+ perfection because they're chasing the,2588.339,4.381
1107
+ dragon they're chasing the dragon trying,2590.38,4.5
1108
+ to overcome their self-loathing and,2592.72,4.92
1109
+ self-contempt by becoming more perfect,2594.88,6.18
1110
+ but it will never ever be enough for the,2597.64,6.12
1111
+ Borg and that is the core message that I,2601.06,5.519
1112
+ wanted to share today about AI overlords,2603.76,6.48
1113
+ about transhumanism is that attaining,2606.579,5.881
1114
+ you know Perfection or Utopia or,2610.24,4.44
1115
+ whatever yes there is the technological,2612.46,4.8
1116
+ aspect but that alone will not be enough,2614.68,4.98
1117
+ that will never be enough there is a,2617.26,3.839
1118
+ tremendous amount of inner work of,2619.66,3.9
1119
+ archetypal work of healing from those,2621.099,5.041
1120
+ not good enough parents and the failures,2623.56,4.5
1121
+ of society and everything else every,2626.14,4.08
1122
+ letdown every disappointment that,2628.06,4.559
1123
+ everyone has ever faced this is also,2630.22,4.98
1124
+ equally as important as the technology,2632.619,6.301
1125
+ in order to attain a better future,2635.2,7.68
1126
+ so quick recap the AI dominatrix fantasy,2638.92,6.48
1127
+ whether it's Cortana or you know the the,2642.88,3.78
1128
+ joke shared at the beginning or the,2645.4,3.48
1129
+ board Queen this is basically a dark,2646.66,3.78
1130
+ version of the perfect woman or the,2648.88,3.18
1131
+ perfect mother,2650.44,3.78
1132
+ um it's all rooted very deeply in our uh,2652.06,4.86
1133
+ Evolution and unconscious and it's all,2654.22,5.04
1134
+ psychosexual stuff for all the reasons,2656.92,5.159
1135
+ that I outlined earlier basically uh we,2659.26,4.5
1136
+ we cultivate an image of what the,2662.079,3.841
1137
+ perfect man and perfect woman look like,2663.76,4.319
1138
+ in our in our mind it's an unconscious,2665.92,3.54
1139
+ archetype that you can express,2668.079,4.201
1140
+ consciously uh but we we usually just,2669.46,5.46
1141
+ embed them in stories uh the benevolent,2672.28,6.0
1142
+ AI Overlord uh would have to be like the,2674.92,5.659
1143
+ the idea of the benevolent AI Overlord,2678.28,6.0
1144
+ is one similar to the idea of God but,2680.579,6.221
1145
+ also the idea of God is the synthesis of,2684.28,4.88
1146
+ the perfect mother or perfect father,2686.8,4.74
1147
+ archetypes and then finally,2689.16,4.9
1148
+ transhumanism and post-humanism,2691.54,5.039
1149
+ um is rooted in a self you know the need,2694.06,4.74
1150
+ for a Salvation fantasy the idea that,2696.579,3.961
1151
+ that some external force is going to,2698.8,3.66
1152
+ come along and you know make everything,2700.54,5.579
1153
+ better one day uh and or base rooted in,2702.46,6.659
1154
+ self-loathing the idea that you have uh,2706.119,5.641
1155
+ internalized some contempt contempt for,2709.119,5.041
1156
+ yourself and that you believe that you,2711.76,4.38
1157
+ need to transform yourself in order to,2714.16,4.38
1158
+ be accepted uh which is the opposite of,2716.14,4.679
1159
+ the of the truth is that radical,2718.54,4.02
1160
+ self-acceptance is actually the way that,2720.819,3.78
1161
+ you achieve that now that being said,2722.56,4.74
1162
+ what I do want to do is is say that I am,2724.599,6.0
1163
+ all for uh you know doing experiments,2727.3,6.18
1164
+ and directing human evolution,2730.599,5.461
1165
+ uh up to this point a lot of people have,2733.48,5.58
1166
+ talked about like oh well you know if we,2736.06,5.279
1167
+ start uh manipulating the genes of our,2739.06,4.68
1168
+ embryos then they're going you know then,2741.339,3.961
1169
+ then that's us playing God and taking,2743.74,4.379
1170
+ over Evolution I absolutely believe that,2745.3,4.62
1171
+ that is the way to go and it's kind of,2748.119,2.881
1172
+ the direction that we're going already,2749.92,2.76
1173
+ because one thing that a lot of people,2751.0,3.42
1174
+ don't know is that you can genetically,2752.68,5.399
1175
+ screen uh embryos basically I think it's,2754.42,6.12
1176
+ at like what four weeks or whatever or,2758.079,4.801
1177
+ eight weeks you can start to screen uh,2760.54,4.5
1178
+ genetically screen embryos and then you,2762.88,4.14
1179
+ can decide to have a a selective,2765.04,4.44
1180
+ abortion because it's like oh hey this,2767.02,4.319
1181
+ embryo actually has some known genetic,2769.48,3.9
1182
+ problems so let's not go through with,2771.339,2.821
1183
+ this,2773.38,4.26
1184
+ and so just by virtue of measuring and,2774.16,5.939
1185
+ eliminating problems we are already,2777.64,4.92
1186
+ directing our own Evolution so what's,2780.099,4.081
1187
+ the difference if you directed a little,2782.56,3.6
1188
+ bit more deliberately by creating,2784.18,3.84
1189
+ transgenic babies,2786.16,2.58
1190
+ um they're still going to be,2788.02,2.339
1191
+ fundamentally human it's not like you,2788.74,4.5
1192
+ know it's not like uh a tank bread baby,2790.359,4.801
1193
+ is going to look like a level three,2793.24,5.22
1194
+ Guild Navigator in 20 years that's not,2795.16,4.38
1195
+ what we're doing they're still,2798.46,3.659
1196
+ fundamentally human so again that's not,2799.54,4.68
1197
+ really transhumanism that is just,2802.119,4.141
1198
+ steering Evolution now which a lot of,2804.22,4.859
1199
+ people have a very like visceral gross,2806.26,5.339
1200
+ reaction to and I think the this video,2809.079,4.5
1201
+ will help a lot of people understand why,2811.599,4.621
1202
+ the idea of transhumanism and guiding,2813.579,5.04
1203
+ human evolution uh really kind of,2816.22,4.2
1204
+ grosses some people out at a deep level,2818.619,4.321
1205
+ is because the idea that like wait,2820.42,3.659
1206
+ you're telling me that I'm not good,2822.94,3.0
1207
+ enough as I am,2824.079,3.661
1208
+ that kind of thing really kind of,2825.94,3.84
1209
+ triggers some people and that's that's a,2827.74,3.3
1210
+ perfectly healthy reaction I'm not,2829.78,2.7
1211
+ saying that being triggered by the idea,2831.04,3.6
1212
+ of post-humanism is a bad thing I'm,2832.48,3.42
1213
+ saying that that is a very natural,2834.64,3.3
1214
+ reaction and it's actually a healthy,2835.9,5.219
1215
+ reaction uh on the other side,2837.94,5.58
1216
+ the desire for transhumanism the desire,2841.119,4.5
1217
+ for post-humanism that is also an,2843.52,4.74
1218
+ understandable and healthy reaction to,2845.619,5.341
1219
+ the flaws and faults and failures of,2848.26,5.88
1220
+ your family of society of Technology of,2850.96,4.74
1221
+ the false promises that we've all been,2854.14,3.9
1222
+ made so what I'm saying is that both,2855.7,4.74
1223
+ sides are right and that uh there's a,2858.04,5.039
1224
+ lot of nuance to it so anyways thanks,2860.44,4.62
1225
+ for watching I hope you got a lot out of,2863.079,5.061
1226
+ this and make it so,2865.06,3.08
Using GPT4 to edit entire chapters in my novel Development and Prose Feedback Summaries_transcript.csv ADDED
@@ -0,0 +1,244 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ text,start,duration
2
+ hey gang David Shapiro here introducing,0.78,5.7
3
+ a new repo that I'm working on,3.6,6.539
4
+ so this is uh as many of you are aware,6.48,5.94
5
+ I've been working with fiction and,10.139,5.16
6
+ language models for quite a while,12.42,6.18
7
+ um and this one is uh my chapter,15.299,4.921
8
+ summarizer,18.6,3.9
9
+ so what does it do I can't show you the,20.22,4.139
10
+ end result because it's private it's for,22.5,4.08
11
+ for my novel but you're welcome to run,24.359,3.961
12
+ it yourself and you can also test it in,26.58,4.019
13
+ the playground if you've got access to,28.32,6.54
14
+ the chat API and gpt4 it will not work,30.599,8.701
15
+ anywhere else because of the um and,34.86,6.18
16
+ actually it might only work with the API,39.3,3.68
17
+ I haven't actually tried it in here,41.04,6.72
18
+ but the gpt4 API will give you 8 000,42.98,7.18
19
+ tokens which if you write longer,47.76,4.319
20
+ chapters like I do which is four to five,50.16,3.899
21
+ thousand words you need that 8 000,52.079,3.061
22
+ tokens,54.059,4.5
23
+ and so the idea though is I wanted a way,55.14,5.16
24
+ to get really good feedback really,58.559,5.221
25
+ quickly and I tried for months and,60.3,7.74
26
+ months with the 4000 token limit and if,63.78,7.199
27
+ you summarizing the chapter could work,68.04,6.02
28
+ but not always,70.979,3.081
29
+ um and so anyways the final result is,74.1,4.98
30
+ now that I've got access to the gpt4 API,75.96,5.339
31
+ I just created this and suddenly,79.08,4.74
32
+ everything is infinite excuse me,81.299,5.041
33
+ infinitely easier kind of hiccups,83.82,3.839
34
+ um but yeah so let me walk you through,86.34,4.319
35
+ this um I do have instructions here,87.659,5.401
36
+ um but yeah so what you'll need to do is,90.659,4.381
37
+ you'll need to create your API key here,93.06,4.5
38
+ and then you'll also need to create your,95.04,6.48
39
+ folders here so the um the chapters dot,97.56,6.54
40
+ doc so put all of your chapters in here,101.52,8.279
41
+ as word docs and then uh this this Pi uh,104.1,7.92
42
+ Powershell script will summer or sorry,109.799,4.981
43
+ convert them to text then that'll,112.02,5.099
44
+ they'll end up here and then finally you,114.78,4.619
45
+ run the second one to summarize and it,117.119,3.061
46
+ will,119.399,3.241
47
+ um jump drop the summaries here,120.18,5.939
48
+ uh so the the the the linchpin of this,122.64,6.24
49
+ is this prompt here so this is this is,126.119,4.681
50
+ the primary thing that you're trying to,128.88,4.02
51
+ achieve please write an executive,130.8,3.36
52
+ summary of the following chapter,132.9,3.0
53
+ followed by a list of the most Salient,134.16,4.26
54
+ details from the chapter saline details,135.9,4.26
55
+ should include uh chapter development,138.42,3.36
56
+ plot advancement important World,140.16,3.659
57
+ building details and any thematic,141.78,3.66
58
+ elements those are the four primary,143.819,4.981
59
+ pillars of good fiction of well all,145.44,4.68
60
+ stories,148.8,3.24
61
+ um please write the list of details in,150.12,4.199
62
+ complete sentences next please provide,152.04,4.5
63
+ some developmental feedback what is the,154.319,3.721
64
+ one biggest thing wrong with this,156.54,3.36
65
+ chapter what is the first and biggest,158.04,3.96
66
+ thing I need to work on as the author,159.9,4.86
67
+ finally please provide prose feedback by,162.0,4.56
68
+ focusing on the dialogue Exposition,164.76,5.46
69
+ interiority action and I should actually,166.56,6.36
70
+ change this to description,170.22,5.519
71
+ um sorry you should avoid Exposition if,172.92,4.38
72
+ you can,175.739,3.301
73
+ um but description is good,177.3,4.56
74
+ uh so I made that mistake there so,179.04,5.04
75
+ anyways the first script is super simple,181.86,5.34
76
+ it just passes in its Powershell because,184.08,5.28
77
+ if you're using Microsoft Word you can,187.2,3.78
78
+ do this part manually too if you want,189.36,3.78
79
+ like if you're if you're writing your,190.98,4.619
80
+ your chapter somewhere else you can copy,193.14,4.56
81
+ them out to text files doesn't matter,195.599,5.64
82
+ but for this draft I am doing it all as,197.7,7.08
83
+ one chapter per Word document,201.239,6.78
84
+ um just for cleanliness sake,204.78,5.459
85
+ um and that's what this does so it'll,208.019,4.621
86
+ drop it all here into chapters text and,210.239,4.681
87
+ then I run the second script which is,212.64,4.8
88
+ really really straightforward,214.92,3.179
89
+ um,217.44,3.78
90
+ all it does is in the main Loop we set,218.099,5.64
91
+ the API key we get the chapters,221.22,6.239
92
+ underscore text we get the summaries if,223.739,4.981
93
+ it doesn't make it it'll make the,227.459,3.901
94
+ directory for you which is nice,228.72,4.379
95
+ um and then what it does so here's a,231.36,4.439
96
+ couple things to to pay attention to,233.099,4.86
97
+ um if the if the program barfs in the,235.799,5.16
98
+ middle you don't want to redo everything,237.959,5.161
99
+ um so it'll it'll skip it if it's,240.959,4.981
100
+ already been summarized so then it'll,243.12,4.14
101
+ tell you the file that it's reading,245.94,4.56
102
+ it'll open the chapter it will populate,247.26,6.24
103
+ the prompt right here and then it will,250.5,6.06
104
+ create the conversation so as of right,253.5,5.88
105
+ now gpt4 is only available at the chat,256.56,4.38
106
+ completion endpoint I don't I think,259.38,4.14
107
+ they're moving away from from the,260.94,5.46
108
+ original completions endpoint entirely I,263.52,6.06
109
+ don't know but anyways so I give it the,266.4,5.4
110
+ the system role is I'm a fiction writing,269.58,3.42
111
+ assistant who will always provide,271.8,2.82
112
+ thorough professional and detailed help,273.0,4.62
113
+ it's pretty pretty straightforward you,274.62,5.76
114
+ can probably play with this if you want,277.62,4.98
115
+ um especially if you wanted to take some,280.38,6.539
116
+ elements of the instructions out but uh,282.6,6.42
117
+ you know there's there's been some like,286.919,4.321
118
+ in some of the documentation it says,289.02,4.02
119
+ that it doesn't pay as much attention to,291.24,3.66
120
+ the system message,293.04,4.98
121
+ um as the as the user message so what I,294.9,6.239
122
+ do is I have the I just have this so it,298.02,4.56
123
+ knows that I am a fiction writing,301.139,3.961
124
+ assistant okay great and then I I put,302.58,4.08
125
+ the prompt in,305.1,3.48
126
+ um and because I'm using the gpt4,306.66,4.5
127
+ endpoint with 8 000 tokens it can read,308.58,6.059
128
+ the entire uh chapter so then I get the,311.16,5.819
129
+ summary and then I save out the summary,314.639,4.021
130
+ it is that simple it's brain dead simple,316.979,3.66
131
+ now there's a couple other things that I,318.66,4.14
132
+ added so,320.639,3.961
133
+ um the first time I ran this it ended up,322.8,4.2
134
+ failing because of,324.6,5.52
135
+ um error rate or uh usage rates so gpt4,327.0,6.78
136
+ is presently super super constrained and,330.12,6.18
137
+ so what I did was I added an exponential,333.78,3.78
138
+ back off,336.3,4.02
139
+ so that if you get an error the first,337.56,5.52
140
+ time it'll wait five seconds then 10,340.32,5.58
141
+ seconds then 20 and so on and I have it,343.08,6.119
142
+ uh it'll retry up to six times,345.9,4.68
143
+ um waiting longer and longer between,349.199,3.78
144
+ each time after I Incorporated this I,350.58,4.08
145
+ didn't have any trouble,352.979,4.081
146
+ um but that you know it is what it is,354.66,4.319
147
+ um another thing that I had to modify,357.06,5.4
148
+ was for whatever reason converting from,358.979,5.881
149
+ word doc to text,362.46,4.32
150
+ um still produce some UTF errors on,364.86,4.32
151
+ occasion on only like a couple files so,366.78,4.859
152
+ I added the ignore here so but here's,369.18,4.44
153
+ the thing is gpt3 doesn't care if you've,371.639,6.06
154
+ got a couple of erroneous characters the,373.62,6.84
155
+ big thing is that um oh actually I,377.699,4.5
156
+ didn't include it here,380.46,4.92
157
+ um was the force ASCII in code decode,382.199,6.12
158
+ but it haven't had any trouble since so,385.38,5.28
159
+ I think that's it,388.319,4.801
160
+ um yeah and here let me go back to the,390.66,5.7
161
+ repo oh so a couple other things like I,393.12,4.74
162
+ said I'm not sure if it'll work here,396.36,3.3
163
+ because I look at the maximum length of,397.86,3.42
164
+ 2048,399.66,2.94
165
+ um so I don't think that they're giving,401.28,4.259
166
+ you the full 8 000 tokens here,402.6,4.92
167
+ um so I don't I don't think you can,405.539,4.021
168
+ actually test it in the playground but,407.52,4.56
169
+ also this is expensive so I had to,409.56,4.199
170
+ restart it a few times so it's actually,412.08,4.98
171
+ about half this but half my novel or,413.759,4.861
172
+ just over half my novel cost about,417.06,3.78
173
+ somewhere between four and eight dollars,418.62,4.919
174
+ to review,420.84,4.199
175
+ um which in the grand scheme of things,423.539,3.72
176
+ is hella cheap because it's like four,425.039,3.841
177
+ dollars who cares,427.259,3.421
178
+ um but then you compare that to like you,428.88,3.78
179
+ know some of the other tasks that you,430.68,3.959
180
+ guys have seen me do it cost me 43 cents,432.66,5.28
181
+ right so because of the volume of the,434.639,5.161
182
+ text that it's reading it is a lot more,437.94,3.36
183
+ expensive,439.8,3.66
184
+ um still it's way cheaper than a full,441.3,5.459
185
+ editor now that being said I added some,443.46,5.4
186
+ some notes here at the end because I,446.759,4.981
187
+ paid a high-end Editor to help me with,448.86,5.959
188
+ my story and that experience was still,451.74,5.22
189
+ worthwhile even though it was like,454.819,4.301
190
+ Seventeen hundred dollars I paid a human,456.96,4.98
191
+ to read it and to understand what I was,459.12,5.28
192
+ what I was trying to achieve now that,461.94,3.78
193
+ being said,464.4,5.28
194
+ once Jeep once we get the 32 000 token,465.72,6.539
195
+ um endpoint which I I haven't tested,469.68,5.4
196
+ that yet or you know as fast as it's,472.259,5.88
197
+ ramping up because 32 000 is eight times,475.08,6.179
198
+ more than the four thousand token so who,478.139,5.161
199
+ knows by the end of the summer we might,481.259,4.621
200
+ be at 300 000 tokens which is more than,483.3,6.0
201
+ enough to read an entire novel right so,485.88,5.159
202
+ I don't know what's going to happen to,489.3,4.799
203
+ the professional editing industry nor,491.039,4.981
204
+ the fiction industry I think we're going,494.099,4.861
205
+ to end up with a lot of books out there,496.02,6.0
206
+ um but anyways it is what it is so,498.96,4.919
207
+ um yeah it provides some developmental,502.02,4.679
208
+ feedback as well as Pros feedback so,503.879,7.32
209
+ when I was using chat gbt to work on the,506.699,6.84
210
+ um Cornelia valyria storied my Ascension,511.199,3.541
211
+ novel,513.539,4.261
212
+ after I got the first chapter written,514.74,5.34
213
+ um which I deleted that video because it,517.8,4.859
214
+ was a hot mess but the thing that I,520.08,5.28
215
+ realized was that asking chat GPT what,522.659,4.141
216
+ is the biggest problem with this chapter,525.36,4.2
217
+ is actually the best way to to get it to,526.8,5.219
218
+ give you developmental feedback because,529.56,4.8
219
+ there's usually going to be only one big,532.019,3.601
220
+ problem,534.36,3.18
221
+ um but also you can only focus on one,535.62,4.86
222
+ problem at a time right so like you know,537.54,4.979
223
+ say for instance your chapter is,540.48,4.56
224
+ otherwise fine maybe it has some issues,542.519,4.561
225
+ but it just doesn't have enough tension,545.04,4.56
226
+ you need to fix that problem first and,547.08,4.68
227
+ then see what comes next you actually,549.6,4.08
228
+ can't solve more than one problem at a,551.76,3.66
229
+ time and therefore it's an iterative,553.68,3.719
230
+ process,555.42,3.539
231
+ um and then finally I also have it give,557.399,4.021
232
+ you some prose feedback just to make,558.959,4.981
233
+ sure that at the at the line level that,561.42,3.78
234
+ you're doing a good job because those,563.94,3.18
235
+ are kind of two different Scopes so,565.2,4.319
236
+ it'll give you a summary uh an executive,567.12,4.08
237
+ summary a list of salient details,569.519,4.981
238
+ developmental feedback and um and prose,571.2,5.94
239
+ feedback all in one go it works pretty,574.5,4.26
240
+ well,577.14,5.34
241
+ um yeah so I think that's about it uh,578.76,8.4
242
+ the it's up here on MIT license,582.48,7.2
243
+ um yeah I guess I'll stop it there let,587.16,5.299
244
+ me know what you guys think,589.68,2.779