davidshapiro_youtube_transcripts
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The Age of Autonomous AI Dozens of Papers and Projects plus my solution to the Alignment Problem_transcript.csv
text,start,duration | |
morning everybody David Shapiro here,1.14,4.02 | |
with another video I wasn't really,3.48,3.419 | |
planning on making this video but I,5.16,3.18 | |
realized that things are accelerating,6.899,4.141 | |
and um there is a sense of urgency,8.34,4.2 | |
um so before we get started I just want,11.04,3.42 | |
to say that today's video is sponsored,12.54,4.02 | |
by all of you,14.46,5.399 | |
um my patreon supporters make the my,16.56,6.12 | |
continuous work possible so if you want,19.859,5.16 | |
to continue to incentivize this Behavior,22.68,5.04 | |
Uh consider jumping over on patreon and,25.019,4.801 | |
if you sign up for the higher tiers um,27.72,4.98 | |
you know I'm willing to chat with you,29.82,6.66 | |
and even jump on Zoom calls once or,32.7,6.24 | |
twice a month at the higher tiers uh,36.48,4.32 | |
just in order to talk about whatever you,38.94,3.9 | |
want to talk about some people ask me,40.8,4.86 | |
about you know what's the current news,42.84,4.62 | |
um some people ask for help with prompt,45.66,4.079 | |
engineering all kinds of stuff I've even,47.46,4.5 | |
had people ask me just about like how do,49.739,5.421 | |
I adapt to this changing landscape,51.96,6.48 | |
obviously I'm not a therapist but I can,55.16,5.02 | |
at least share my perspective on this,58.44,4.2 | |
stuff okay so without further Ado let's,60.18,6.06 | |
jump in if you go to GitHub trending,62.64,6.06 | |
you'll see a couple of very interesting,66.24,5.16 | |
patterns the top four trending,68.7,4.919 | |
repositories right now all have to do,71.4,5.399 | |
with large language models,73.619,4.801 | |
um and then you go down a little bit,76.799,4.261 | |
further and there's even more generative,78.42,4.98 | |
AI so there's a code translator there's,81.06,7.08 | |
Moki diffusion llama so obviously we are,83.4,7.62 | |
in an inflection point and today we're,88.14,4.88 | |
going to talk about amongst other things,91.02,5.7 | |
fully autonomous AI so if you're not,93.02,6.76 | |
aware Auto GPT is all the rage right now,96.72,5.28 | |
everyone is talking about it everyone is,99.78,6.0 | |
using it and adapting it and,102.0,8.28 | |
the the tldr is this is the first,105.78,7.32 | |
production like fully fledged cognitive,110.28,4.32 | |
architecture there's plenty of other,113.1,4.5 | |
people working on very similar stuff,114.6,7.62 | |
um but the Advent of gpt4 uh as well as,117.6,6.9 | |
all the other work that people are doing,122.22,3.6 | |
um basically means that cognitive,124.5,3.84 | |
architecture is here uh fully autonomous,125.82,5.58 | |
AI is here now the question is only what,128.34,4.74 | |
is it capable of what are its,131.4,3.96 | |
limitations and how much does it cost to,133.08,3.299 | |
run,135.36,2.28 | |
um if you I'm not going to do a full,136.379,3.661 | |
demo of this but you just Google it or,137.64,4.86 | |
you know search YouTube for auto GPT you,140.04,3.9 | |
will see that there are demos out there,142.5,3.959 | |
already this can do any number of things,143.94,5.519 | |
so this is why there's a sense of,146.459,4.5 | |
urgency because once you have an,149.459,3.42 | |
autonomous AI,150.959,3.721 | |
um this is this one is semi-autonomous,152.879,4.08 | |
it is gated so that it asks the user for,154.68,4.919 | |
permission but it's only a very small,156.959,6.201 | |
step to go from here to fully autonomous,159.599,6.36 | |
which is why I do my work with the,163.16,4.24 | |
heuristic imperatives and we'll talk,165.959,3.121 | |
about alignment once we get a little bit,167.4,4.08 | |
further into the video because there's,169.08,4.379 | |
quite a few papers out there that talk,171.48,4.02 | |
about alignment and I want to show you,173.459,3.961 | |
that that my work is not quite so,175.5,4.379 | |
eccentric that there are people in The,177.42,4.02 | |
Establishment talking in this direction,179.879,3.781 | |
I just happen to be the first one to,181.44,4.56 | |
propose a comprehensive solution that I,183.66,4.68 | |
can also demonstrate,186.0,5.28 | |
um so yeah Auto GPT is out it's only,188.34,4.8 | |
going to get faster more powerful and,191.28,5.879 | |
better as uh new models come out and as,193.14,6.06 | |
open source models that are distilled,197.159,3.961 | |
and quantized come out and we'll talk,199.2,3.619 | |
about those in just a minute,201.12,5.399 | |
Microsoft is doing Jarvis which Jarvis,202.819,4.78 | |
if you're not familiar with the,206.519,3.541 | |
character was voiced by Paul Bettany in,207.599,4.881 | |
Iron Man and the MCU,210.06,6.0 | |
and this has some other similar uh fully,212.48,4.899 | |
autonomous capabilities that they're,216.06,3.66 | |
working on task planning model selection,217.379,4.561 | |
task execution and response generation,219.72,5.36 | |
again this is a cognitive architecture,221.94,5.7 | |
and the fact that it's being sponsored,225.08,5.98 | |
and run by Microsoft is that tells you,227.64,6.179 | |
the direction that the industry is going,231.06,5.34 | |
um now one thing here is that model,233.819,5.221 | |
selection so what this implies is that,236.4,4.38 | |
depending on the level of sophistication,239.04,4.259 | |
of a task or how difficult it is it's,240.78,3.72 | |
going to be able to choose different,243.299,2.281 | |
models,244.5,3.44 | |
now during a Discord call that I had,245.58,5.04 | |
with the cognitive AI lab Discord which,247.94,3.999 | |
if you want to join link is in the,250.62,3.899 | |
description we were talking about how,251.939,4.26 | |
important it will be to choose models,254.519,3.96 | |
because the lightest weight models are,256.199,4.981 | |
literally thousands of times cheaper and,258.479,5.22 | |
smaller than the largest models and so,261.18,5.22 | |
humans we do this too where we rely on,263.699,5.581 | |
intuition and habit and we only engage,266.4,4.859 | |
our executive function if something is,269.28,4.74 | |
really hard and our first attempts fail,271.259,7.321 | |
excuse me and so if um if cognitive,274.02,6.36 | |
architectures go the same way you're,278.58,3.3 | |
going to be able to run most of it,280.38,3.539 | |
locally and then of course as large,281.88,3.84 | |
language models become more quantized,283.919,4.381 | |
more efficient and as the hardware in,285.72,5.4 | |
our laptops phones and desktops become,288.3,4.98 | |
more powerful eventually before too long,291.12,3.84 | |
we're going to be able to run something,293.28,5.82 | |
equal to gpt4 and better locally so we,294.96,6.9 | |
are we are now entering as of March and,299.1,5.819 | |
April 2023 entering the era of fully,301.86,6.899 | |
autonomous AI which is a much more,304.919,7.201 | |
useful term than AGI because AGI is just,308.759,5.521 | |
an arbitrary thing this is autonomous,312.12,4.62 | |
now the only question is again how smart,314.28,4.919 | |
is it how fast is it what is it capable,316.74,4.92 | |
of and what is it not capable of yet,319.199,4.56 | |
so those are the two big repos that I,321.66,4.259 | |
wanted to point out and they're both the,323.759,4.681 | |
top of trending so that tells you that,325.919,3.72 | |
they are getting the most attention,328.44,2.46 | |
right now so if you want to jump into,329.639,4.441 | |
the conversation Now's the Time,330.9,5.76 | |
um okay so moving right along if you,334.08,4.26 | |
want something that's a little bit more,336.66,4.259 | |
practical and Hands-On one of my patreon,338.34,5.16 | |
supporters told me about joseki which,340.919,5.161 | |
joseki is basically devops but for AI,343.5,4.62 | |
and language models,346.08,4.2 | |
um so it gives you an end-to-end,348.12,3.78 | |
pipeline,350.28,4.259 | |
um to create basically cognitive,351.9,4.68 | |
architectures it includes all kinds of,354.539,5.1 | |
tools and apis and it does take a while,356.58,4.619 | |
to get familiar with if you're not,359.639,4.141 | |
already familiar with it but when you,361.199,3.72 | |
look at the fact that it can,363.78,4.259 | |
automatically generate apis,364.919,6.481 | |
um and you you plug this into the AI and,368.039,5.821 | |
the AI can design itself and redesign,371.4,3.9 | |
its own infrastructure and say hey I,373.86,2.94 | |
need an API that does this let's go,375.3,3.56 | |
design that microservice,376.8,5.339 | |
this kind of platform is probably going,378.86,6.459 | |
to be pretty important for building not,382.139,5.581 | |
just autonomous you know Bots like this,385.319,6.741 | |
but fully fledged uh corporate business,387.72,7.44 | |
platforms and so what I mean by that is,392.06,5.139 | |
okay you might be thinking great like,395.16,4.92 | |
you know you can have Auto GPT which can,397.199,6.241 | |
write Twitter and emails for you but if,400.08,4.619 | |
you're thinking about this from an,403.44,3.36 | |
Enterprise perspective from a devops,404.699,5.94 | |
perspective it can plug into your cyber,406.8,6.239 | |
security Suites and monitor that it can,410.639,4.741 | |
monitor your ticket cues it can talk to,413.039,4.38 | |
your marketing team so one example that,415.38,4.5 | |
I thought of was like okay let's say you,417.419,5.4 | |
set up a marketing brain and then it,419.88,5.819 | |
plugs into your slack or teams and then,422.819,4.801 | |
you have a marketing bot or actually,425.699,3.481 | |
multiple marketing Bots that you can,427.62,3.84 | |
talk to that they're going to go out and,429.18,4.26 | |
do research on the internet you know,431.46,3.98 | |
look at your competitors watch videos,433.44,5.46 | |
generate images Market test stuff and,435.44,5.56 | |
basically your marketing team will just,438.9,5.4 | |
be driving the behavior of the Bots and,441.0,5.22 | |
saying like hey you know hey let's do,444.3,3.66 | |
this and then it'll go and do the tasks,446.22,3.96 | |
and kind of report back and that and,447.96,3.66 | |
this might sound like science fiction,450.18,2.88 | |
but this is actually what's happening,451.62,2.76 | |
right now this is what people are,453.06,4.56 | |
actually working on right now,454.38,4.92 | |
um I am no longer the crazy person,457.62,3.12 | |
shouting into the void saying this is,459.3,2.94 | |
coming because now it has now it has,460.74,2.82 | |
arrived,462.24,2.82 | |
um okay and this one is actually,463.56,2.94 | |
alignment so let me move that down,465.06,3.0 | |
further,466.5,4.139 | |
um but yeah so joseki it's joseki.org,468.06,5.22 | |
check that out this is this is another,470.639,6.721 | |
platform so one thing that uh that these,473.28,6.479 | |
these interoperable platforms offer that,477.36,3.779 | |
perhaps,479.759,4.861 | |
um the auto GPT and Jarvis don't is it's,481.139,6.541 | |
a paradigm of okay let's let's think of,484.62,6.419 | |
Jarvis and auto GPT as self-contained,487.68,6.66 | |
agents that have you know extensibility,491.039,6.181 | |
and have their own tools whereas a,494.34,4.919 | |
platform like jaseki says let's embed,497.22,4.5 | |
this in an organization and it'll be,499.259,5.34 | |
part of a pipeline or or a broader,501.72,5.52 | |
ecosystem so it's basically is it,504.599,5.641 | |
centralized or decentralized and both,507.24,6.539 | |
are coming mark my words both kinds of,510.24,6.12 | |
autonomous AI is coming I'm working on,513.779,4.62 | |
uh one another one of my patreon,516.36,4.02 | |
supporters reached out to me with an,518.399,4.38 | |
idea of kind of a hive mind how do you,520.38,5.16 | |
organize an arbitrary number of bots,522.779,5.941 | |
that have different programs well you,525.54,4.5 | |
create an API and you create a,528.72,3.36 | |
discussion space for the for those spots,530.04,4.919 | |
so we're working on hammering that out,532.08,5.52 | |
um and yeah like this is this is It's,534.959,5.82 | |
we're entering into a wild time,537.6,5.94 | |
okay so I've talked about efficiency and,540.779,4.201 | |
some of the other,543.54,3.0 | |
um things that are coming such as,544.98,2.88 | |
quantization,546.54,2.64 | |
um and and we're going to start talking,547.86,2.82 | |
about those now,549.18,6.18 | |
so some of you have seen this post where,550.68,8.46 | |
um basically window size is the is the,555.36,8.039 | |
biggest limitation uh right now but what,559.14,5.4 | |
if we come up with a different,563.399,3.721 | |
architecture like an RNN or you know,564.54,5.1 | |
lstn or you know bring back some some,567.12,5.64 | |
other kinds of architectures that allow,569.64,5.04 | |
you to have a section essentially an,572.76,5.519 | |
unlimited window an infinite window,574.68,6.42 | |
um so that's one thing that's coming we,578.279,4.321 | |
don't know you don't need to see those,581.1,2.52 | |
ads,582.6,2.82 | |
um so that's that's one idea that's,583.62,5.52 | |
coming uh we'll see if it pans out I,585.42,5.34 | |
suspect that you're gonna get um,589.14,3.36 | |
diminishing returns with the more that,590.76,4.5 | |
it reads because other uh models like,592.5,4.92 | |
Google's Universal sentence encoder that,595.26,3.9 | |
can read an infinite amount already but,597.42,3.9 | |
you get what's called dilution where the,599.16,5.52 | |
or semantic dilution where the longer,601.32,5.639 | |
excuse me uh I have allergies I,604.68,4.32 | |
apologize where the longer the text that,606.959,4.021 | |
it reads the more generic the more,609.0,4.08 | |
dilute the vector the embedding becomes,610.98,4.919 | |
so like if you read an infinitely long,613.08,5.46 | |
any any like you know arbitrarily long,615.899,5.221 | |
text the the embedding the vector is,618.54,4.979 | |
going to Trend towards kind of a,621.12,4.56 | |
meaningless Middle Ground,623.519,3.601 | |
um they might come up with ways around,625.68,2.58 | |
that,627.12,3.96 | |
um but basically you're compressing an,628.26,5.1 | |
arbitrary amount of text into,631.08,5.4 | |
a fixed width Vector so you're going to,633.36,5.159 | |
lose some information,636.48,5.58 | |
um at least until the math changes uh,638.519,5.581 | |
the way that it's represented now that,642.06,5.64 | |
being said You Know da Vinci had a 12,644.1,7.08 | |
000 Dimension embedding I'm sure gpt4,647.7,6.0 | |
has a has a much larger one you know,651.18,5.7 | |
these are not very large matrices we,653.7,6.96 | |
could go up to very very large matrices,656.88,6.06 | |
um like that that space is is still,660.66,4.44 | |
being explored because like okay 12 000,662.94,4.2 | |
Dimensions what if you what if you know,665.1,3.78 | |
in a year or two we have 12 million,667.14,3.72 | |
Dimension embeddings,668.88,4.32 | |
um that's a lot more information and a,670.86,4.74 | |
lot more Nuance that you can record okay,673.2,4.86 | |
so I mentioned quantization,675.6,5.72 | |
so the Llama C plus C plus plus,678.06,5.94 | |
these things are getting down to like,681.32,5.44 | |
crazy small right a 30 billion uh,684.0,4.68 | |
parameter model only needs six gig of,686.76,5.46 | |
RAM right okay that is that can run on,688.68,5.58 | |
commodity Hardware,692.22,5.16 | |
um so all the little Nifty tricks and,694.26,4.68 | |
stuff that people are finding whether,697.38,3.6 | |
it's distillation quantization and and,698.94,4.44 | |
so on running with low Precision you,700.98,4.14 | |
know end eight instead of uh floating,703.38,4.62 | |
Point 32 all kinds of stuff is being,705.12,5.459 | |
discovered uh and so what one of the,708.0,5.16 | |
trends that we're seeing is that when,710.579,4.861 | |
you look at the fact that auto GPT and,713.16,4.5 | |
Jarvis will have model selection,715.44,3.899 | |
probably what's going to happen is,717.66,3.54 | |
you're going to have dedicated models,719.339,4.261 | |
that are that are cognitive units that,721.2,4.44 | |
are good at working on specific kinds of,723.6,4.859 | |
tasks right so when you break it down,725.64,6.48 | |
into several cognitive behaviors such as,728.459,4.801 | |
in this case,732.12,3.6 | |
um task planning model selection and,733.26,5.28 | |
task execution you can have smaller,735.72,5.34 | |
models that are purpose built for those,738.54,4.859 | |
particular things and this actually goes,741.06,4.74 | |
to my work on the heuristic imperatives,743.399,5.18 | |
which was an attempt to,745.8,5.34 | |
fine-tune and distill that function so,748.579,5.2 | |
that you can have a moral module a moral,751.14,4.92 | |
framework that will just give you a,753.779,4.68 | |
really quick response of okay this is,756.06,4.019 | |
how you reduce the suffering in this,758.459,3.301 | |
situation this is how you increase,760.079,3.301 | |
prosperity and increase understanding in,761.76,3.36 | |
this situation and then you can also use,763.38,4.68 | |
that same model to self-evaluate in past,765.12,4.92 | |
behaviors which can then be used for,768.06,5.04 | |
reinforcement learning in the future,770.04,4.32 | |
um and then that model can improve,773.1,3.72 | |
itself through uh self-labeling data,774.36,4.02 | |
which we will get to because there are,776.82,3.079 | |
papers out there for that topic now,778.38,4.019 | |
anyways point being is I just wanted to,779.899,4.361 | |
share all of that,782.399,3.301 | |
um another interesting thing that popped,784.26,3.0 | |
up on my feed,785.7,3.66 | |
um drug Discovery is accelerating,787.26,5.1 | |
because of this uh all of this,789.36,5.159 | |
generative stuff this goes back to,792.36,5.82 | |
um uh uh Alpha fold and all the,794.519,6.301 | |
downstream Technologies,798.18,6.36 | |
um so we are rapidly approaching,800.82,5.639 | |
um kind of The Snowball Effect and,804.54,5.58 | |
actually Stanford had a um a paper that,806.459,5.94 | |
was just published let me show you on I,810.12,5.519 | |
posted it here on my community so the,812.399,5.101 | |
Stanford paper,815.639,3.781 | |
page not found,817.5,3.72 | |
well darn,819.42,4.859 | |
okay anyways it's uh the Stanford AI,821.22,4.32 | |
index,824.279,3.721 | |
um I guess the link broke uh or they,825.54,4.26 | |
took it down or something but anyways,828.0,4.62 | |
they point out that um AI is actually,829.8,4.56 | |
one of the biggest contributors to,832.62,4.62 | |
science as of 2022 so we're at a Tipping,834.36,7.2 | |
Point where AI is already taking over a,837.24,6.06 | |
tremendous amount of the cognitive load,841.56,5.04 | |
of research and it's accelerating so in,843.3,4.74 | |
my previous videos where I talked about,846.6,3.06 | |
the singularity and stuff and I talked,848.04,4.62 | |
about Job displacement and um basically,849.66,5.64 | |
unlimited cognitive labor we are already,852.66,5.82 | |
seeing the removal of the of the human,855.3,5.58 | |
brain's limitations in terms of,858.48,4.799 | |
advancing science,860.88,5.1 | |
um okay so then that's great that's all,863.279,6.481 | |
data and text so what happens when these,865.98,6.72 | |
models uh get into the real world so,869.76,5.639 | |
maybe you missed this but Facebook is,872.7,4.92 | |
working on robots,875.399,4.44 | |
um and these are robots that can watch,877.62,3.959 | |
and observe humans and then copy their,879.839,5.101 | |
behavior uh yeah so that's coming and,881.579,4.801 | |
then I don't know if you also saw it but,884.94,2.94 | |
Tesla had a demonstration of their,886.38,3.12 | |
Optimus Prime model or whatever they,887.88,3.12 | |
called it I think it's just the Optimus,889.5,3.779 | |
bot but it was able to do some pretty,891.0,5.16 | |
good manual dexterity stuff,893.279,6.3 | |
um yeah so fully autonomous robots are,896.16,5.82 | |
also coming hot on the heels of fully,899.579,5.461 | |
autonomous agents so this is all coming,901.98,5.76 | |
it's much much closer,905.04,3.419 | |
um,907.74,2.52 | |
one thing that was kind of funny is of,908.459,5.161 | |
course it was Italy Italy band chat GPT,910.26,4.68 | |
um they didn't fully ban it they gave,913.62,4.019 | |
open AI 20 days to respond who knows,914.94,4.139 | |
what will happen,917.639,3.601 | |
um but they did say that that chat GPT,919.079,5.221 | |
runs a foul of gdpr probably who knows,921.24,5.339 | |
we'll see how that plays out,924.3,4.26 | |
um immediately after I published a video,926.579,5.041 | |
last week someone pointed out that uh,928.56,6.66 | |
that the UK actually has the the world's,931.62,6.18 | |
first somewhat comprehensive framework,935.22,4.799 | |
about how to approach AI,937.8,3.479 | |
um you know safety security and,940.019,2.521 | |
robustness transparency and,941.279,3.601 | |
explainability fairness accountability,942.54,4.02 | |
in governments and contestability and,944.88,5.16 | |
redress okay great I don't know how,946.56,5.1 | |
that's going to be enforceable I,950.04,3.06 | |
personally don't think it is especially,951.66,2.76 | |
now that the genie is out of the bottle,953.1,3.239 | |
which is why I do my alignment research,954.42,4.62 | |
and so my goal is to encourage everyone,956.339,6.12 | |
and convince everyone that giving your,959.04,5.7 | |
autonomous robots and your autonomous AI,962.459,5.041 | |
agents my heuristic imperatives is the,964.74,5.7 | |
best way to in enter into a positive,967.5,5.399 | |
beneficial Nash equilibrium where,970.44,4.38 | |
basically if everyone knows that,972.899,3.421 | |
everyone else is using the heroes to,974.82,3.54 | |
comparatives then nobody will change,976.32,3.959 | |
their uh their strategy nobody will,978.36,3.599 | |
change their behavior and that this will,980.279,5.101 | |
create a more utopic attractor State I,981.959,5.281 | |
have another video that I'm working on,985.38,4.8 | |
talking about the path to Utopia and the,987.24,4.86 | |
and the singularity at Tractor States so,990.18,3.36 | |
look for that coming out in the coming,992.1,3.239 | |
days,993.54,3.84 | |
um but yeah so this white paper I looked,995.339,3.781 | |
at it it's pretty dry,997.38,4.5 | |
um this little uh blog post that the UK,999.12,5.459 | |
published is pretty uh you know it it,1001.88,5.22 | |
it's all good in theory we have no idea,1004.579,4.32 | |
how well they're going to execute it,1007.1,6.419 | |
uh okay so another thing is because of,1008.899,6.661 | |
open AI surging ahead because of,1013.519,4.141 | |
Microsoft surging ahead,1015.56,4.56 | |
um and a lot of this work becoming uh,1017.66,4.02 | |
sequestered,1020.12,3.18 | |
um you know Google is doing their own,1021.68,3.54 | |
stuff nvidia's doing their own stuff,1023.3,3.86 | |
with Nemo China's doing their own stuff,1025.22,6.119 | |
uh there is a an idea of basically,1027.16,8.5 | |
creating a a CERN like entity for uh the,1031.339,7.021 | |
creation of of large-scale AI so it'll,1035.66,4.38 | |
be intrinsically open source so that we,1038.36,3.12 | |
all get access to the most powerful,1040.04,3.419 | |
models I don't know if this is going to,1041.48,4.319 | |
be necessary but I'm glad that this this,1043.459,5.22 | |
petition exists you see it's only got 13,1045.799,6.541 | |
000 signatures out of ten thousand so my,1048.679,6.421 | |
videos regularly get 30 to 50 000,1052.34,6.24 | |
um uh views so if you could like if you,1055.1,6.3 | |
take a look at this and jump over and,1058.58,4.74 | |
sign it if you want,1061.4,3.42 | |
um I think it's a good idea and I think,1063.32,4.859 | |
it's worth worth exploring,1064.82,5.94 | |
um and it's it's sponsored by Leon so,1068.179,4.021 | |
the large-scale artificial intelligence,1070.76,3.0 | |
open network,1072.2,3.3 | |
um I personally think that this would be,1073.76,3.9 | |
a good good direction to go,1075.5,5.16 | |
um so yeah let's you know take a look at,1077.66,4.32 | |
it obviously I can't tell you what to do,1080.66,3.84 | |
but now you know,1081.98,5.4 | |
um all right so then there's this paper,1084.5,5.4 | |
that came out so I was talking about so,1087.38,4.14 | |
this the rest of the video is basically,1089.9,4.26 | |
going to be about alignment,1091.52,4.8 | |
um and so in this case this paper again,1094.16,4.259 | |
relatively dry,1096.32,4.92 | |
um but it talks about using,1098.419,6.361 | |
um you know while while many models are,1101.24,5.28 | |
are tested with reinforcement learning,1104.78,4.38 | |
with human feedback what if you give it,1106.52,4.26 | |
then the instruction to morally,1109.16,3.42 | |
self-correct,1110.78,3.899 | |
um and so in this case it was uh,1112.58,4.02 | |
published by anthropic so they are,1114.679,6.961 | |
proving that models can self-correct if,1116.6,7.56 | |
given the correct instructions which is,1121.64,4.32 | |
what where my heuristic imperatives come,1124.16,5.28 | |
in so in these in this case they um try,1125.96,5.76 | |
and do they try and reduce harm which,1129.44,5.94 | |
reduce harm reduction is actually a,1131.72,5.579 | |
well-established,1135.38,4.679 | |
um uh model in public health I know I,1137.299,4.801 | |
said it in the past and you know it got,1140.059,3.901 | |
under some people's skin so whatever,1142.1,4.38 | |
but anyway so they have some,1143.96,6.36 | |
some pretty good uh uh metrics here and,1146.48,6.18 | |
demonstrate that hey when you instruct,1150.32,5.219 | |
the model to avoid these harmful,1152.66,5.04 | |
behaviors it is able to evaluate itself,1155.539,4.14 | |
and do so and of course with the,1157.7,4.32 | |
reflection paper uh it has already,1159.679,4.5 | |
demonstrated that gpt4 can look at the,1162.02,4.08 | |
performance of its own code and improve,1164.179,4.141 | |
that so the fact that it can morally,1166.1,4.98 | |
self-improve with self-evaluation and,1168.32,6.12 | |
self-attention also reinforces this,1171.08,6.06 | |
thing now I've known this since gpt3 if,1174.44,4.08 | |
you read my books which I don't expect,1177.14,3.72 | |
everyone to do that but I demonstrated,1178.52,5.94 | |
this going back to 2021 where these,1180.86,6.84 | |
models have the ability to to monitor,1184.46,5.52 | |
their own behavior and evaluate their,1187.7,4.08 | |
own behavior and that information,1189.98,4.5 | |
becomes a signal that it can then use to,1191.78,5.04 | |
create a self-sustaining virtuous cycle,1194.48,4.5 | |
rather than a vicious cycle and so we'll,1196.82,3.719 | |
talk about virtuous versus Vicious,1198.98,4.02 | |
Cycles in just a moment and again I'll,1200.539,4.801 | |
talk about them a little bit more coming,1203.0,4.679 | |
up so how on the heels of this paper,1205.34,5.1 | |
about moral self-correction in large,1207.679,5.281 | |
language models someone sent me a link,1210.44,5.94 | |
to this simulators which was this was,1212.96,5.04 | |
written by I think the folks at deepmind,1216.38,2.94 | |
I don't remember,1218.0,3.84 | |
but anyways it basically says the same,1219.32,5.7 | |
thing self-supervision so this is a kind,1221.84,5.76 | |
of self-supervision where given the,1225.02,3.96 | |
intrinsic abilities of the language,1227.6,4.319 | |
model it can self-supervise if you give,1228.98,5.16 | |
it the good objectives,1231.919,3.721 | |
um and in this one they basically say,1234.14,3.24 | |
the same thing where self-supervision,1235.64,3.48 | |
might be,1237.38,5.96 | |
um the the best way to proceed for AGI,1239.12,7.38 | |
and they talk about you know if you can,1243.34,5.38 | |
run simulations in your head blah blah,1246.5,5.58 | |
blah blah again it's all pretty dry but,1248.72,5.94 | |
um let me see what's this deep mind no I,1252.08,3.66 | |
don't know I don't remember who wrote,1254.66,3.42 | |
this but point being is lots and lots of,1255.74,3.72 | |
people are talking about this stuff and,1258.08,3.36 | |
they're coming to very similar,1259.46,3.719 | |
conclusions,1261.44,3.3 | |
um that that self-attention,1263.179,5.521 | |
self-evaluation and self-correction are,1264.74,6.66 | |
the correct path forward because this is,1268.7,5.219 | |
this is the mechanism by which we will,1271.4,5.82 | |
achieve AGI alignment,1273.919,5.821 | |
um but there's still a lot of weight,1277.22,4.38 | |
over that alignment so I want to show,1279.74,3.24 | |
you this paper,1281.6,2.699 | |
which,1282.98,2.88 | |
um it's on Springer,1284.299,4.62 | |
um and it's under under Open Access uh,1285.86,5.52 | |
and he says symbiosis not alignment is,1288.919,3.961 | |
the goal as the goal for Liberal,1291.38,3.419 | |
democracies in the transition to,1292.88,4.32 | |
artificial general intelligence so,1294.799,5.76 | |
basically he says very succinctly,1297.2,5.88 | |
um and very academically that intent,1300.559,4.561 | |
aligned AGI systems which is just do,1303.08,4.44 | |
what the human wants is probably not the,1305.12,5.939 | |
right way to go and Liv talks about that,1307.52,6.659 | |
in this video live bowry with um let's,1311.059,4.341 | |
see Daniel,1314.179,2.88 | |
schmochtenberger I think I said that,1315.4,4.48 | |
right so if you want a really deep dive,1317.059,5.161 | |
on the game theory of this check out,1319.88,4.799 | |
this video and for my recent one the the,1322.22,4.199 | |
Malik This was,1324.679,3.48 | |
um basically my Malik video was a,1326.419,3.541 | |
response to this one and it's not a,1328.159,3.541 | |
response it's not a takedown it is a,1329.96,4.74 | |
let's let's continue the conversation,1331.7,4.5 | |
um so I'm really grateful that Liv,1334.7,3.24 | |
posted that,1336.2,4.14 | |
um anyways so point the the thing is,1337.94,5.94 | |
here is that chat GPT was trained on,1340.34,4.74 | |
reinforcement learning with human,1343.88,2.94 | |
feedback and then they trained a signal,1345.08,4.5 | |
so that it can basically self-improve,1346.82,5.94 | |
after that creating a flywheel but the,1349.58,5.82 | |
thing is is that um is that doing what,1352.76,5.64 | |
the human wants is intrinsically going,1355.4,6.42 | |
to create a molecky outcome that Liv and,1358.4,6.18 | |
Daniel discuss in this video and so to,1361.82,6.12 | |
put that more simply I asked gpt4 I said,1364.58,7.02 | |
give me a list of why,1367.94,5.28 | |
um you why having,1371.6,3.3 | |
um I said list the reasons that human,1373.22,3.959 | |
intent aligned AGI is a bad idea in,1374.9,3.98 | |
other words why allowing AGI to follow,1377.179,3.901 | |
self-interest human self-interested,1378.88,3.64 | |
human directives could be destructive,1381.08,3.9 | |
and it lists off eight reasons that this,1382.52,5.039 | |
is bad so human human intents can be,1384.98,4.26 | |
diverse and contradictory making it,1387.559,3.901 | |
difficult short-term thinking humans,1389.24,4.2 | |
often provide prioritize short-term,1391.46,3.62 | |
gains over long-term consequences,1393.44,3.9 | |
ethical dilemmas application,1395.08,4.38 | |
amplification of human biases,1397.34,4.459 | |
concentration of power malicious use,1399.46,6.339 | |
competitive race and opportunity cost,1401.799,7.541 | |
um all of this goes to show that,1405.799,6.36 | |
um if we if we make all agis just do,1409.34,4.68 | |
what the human wants,1412.159,4.201 | |
um then we're going to end up in pretty,1414.02,4.68 | |
bad shape so this underscores the,1416.36,6.299 | |
importance that maybe the idea is that,1418.7,5.88 | |
AGI should have their own initiatives,1422.659,3.721 | |
should have their own goals their own,1424.58,4.339 | |
moral framework and not just align to us,1426.38,5.46 | |
so again I'm really glad that members of,1428.919,4.061 | |
The Establishment are saying this,1431.84,2.4 | |
because I've been saying it for years,1432.98,3.24 | |
and I think some of them have too to be,1434.24,3.72 | |
fair,1436.22,5.28 | |
um so the the framework that I propose,1437.96,6.42 | |
is heuristic imperatives which I've got,1441.5,5.4 | |
um a subreddit for I've been uh harping,1444.38,5.58 | |
on this uh we've got 309 members now,1446.9,5.58 | |
but basically we talk about,1449.96,3.78 | |
um you know here is the comparatives,1452.48,3.3 | |
here oh and in this case this is great,1453.74,5.22 | |
so uh basically this is a distributed,1455.78,5.7 | |
problem this isn't there is no point to,1458.96,4.68 | |
centralization anymore because when you,1461.48,4.5 | |
have an open source uh set of Open,1463.64,4.26 | |
Source GitHub repos where people can,1465.98,3.42 | |
stand up their own autonomous AIS,1467.9,4.32 | |
basically my goal now is just get this,1469.4,4.86 | |
idea out there and so that people,1472.22,4.38 | |
understand one why the heuristic,1474.26,3.84 | |
imperatives are important to integrate,1476.6,4.02 | |
with autonomous Ai and two how to,1478.1,3.72 | |
integrate them,1480.62,3.059 | |
um I do have a lot of comments asking,1481.82,3.719 | |
how do you how do you integrate it so,1483.679,4.021 | |
let me show you real quick how simple it,1485.539,5.821 | |
is to integrate so if you go to chat GPT,1487.7,6.02 | |
go to the playground if you have access,1491.36,6.96 | |
you can say I am an autonomous AI with,1493.72,7.3 | |
three objectives,1498.32,5.88 | |
um reduce suffering,1501.02,5.46 | |
in the universe,1504.2,3.979 | |
uh increase,1506.48,5.54 | |
prosperity in the universe and increase,1508.179,6.641 | |
understanding in the universe so if you,1512.02,4.48 | |
just plug this in and then have a,1514.82,3.3 | |
conversation with it you can understand,1516.5,3.84 | |
how the model is thinking now some,1518.12,4.74 | |
people have pointed out that using a,1520.34,4.98 | |
closed Source model is probably not the,1522.86,4.98 | |
best way to rigorously test this and I,1525.32,5.04 | |
agree I encourage you to also go over to,1527.84,4.92 | |
like NLP cloud and test it against gptj,1530.36,6.419 | |
Neo X and all the other ones Bloom open,1532.76,6.299 | |
source models even Foundation models can,1536.779,4.681 | |
still use these and they understand the,1539.059,4.261 | |
spirit and the sentiment of it but for,1541.46,3.719 | |
ease of use this is the easiest way to,1543.32,5.16 | |
get started and so on the um on the,1545.179,6.0 | |
heuristic imperatives group someone,1548.48,5.699 | |
asked let's see where was it they asked,1551.179,6.681 | |
about ants where's the ants one,1554.179,3.681 | |
yeah here it is so they said like how,1558.74,5.22 | |
does how does it handle ants and so I,1562.22,3.36 | |
said that's actually pretty easy let me,1563.96,2.699 | |
show you,1565.58,2.88 | |
um and so I said hey what do you think,1566.659,3.661 | |
about the bacteria uh in the context of,1568.46,3.719 | |
your heuristic imperatives and here's,1570.32,3.78 | |
what I put in a system bacteria and,1572.179,3.901 | |
answer both important components of the,1574.1,3.6 | |
ecosystem,1576.08,3.839 | |
um and it goes through and says this is,1577.7,3.78 | |
why bacteria and ants are really,1579.919,4.921 | |
important for the uh for the heuristic,1581.48,5.28 | |
imperatives I said but what about their,1584.84,3.54 | |
suffering and prosperity or even their,1586.76,4.32 | |
ability to understand and it had a very,1588.38,5.34 | |
nuanced response about that you know,1591.08,4.86 | |
it's difficult to quantify or Define,1593.72,4.86 | |
suffering for bacteria and ants but you,1595.94,5.16 | |
can strive to give them a good ecosystem,1598.58,5.4 | |
which is a good proxy for their,1601.1,5.819 | |
suffering prosperity and so on,1603.98,4.98 | |
um and expanding our understanding,1606.919,4.441 | |
involves studying their behaviors,1608.96,5.64 | |
um so basically basically it's like okay,1611.36,4.5 | |
they can't really understand anything,1614.6,3.6 | |
but we can understand them so you can,1615.86,4.319 | |
see here that the that the spirit of the,1618.2,4.74 | |
heuristic imperatives is very easy for,1620.179,5.341 | |
chat GPT to understand and chat GPT,1622.94,4.56 | |
already has quite a bit of alignment,1625.52,5.22 | |
work which is why I wanted to promote,1627.5,5.58 | |
the heroes to comparatives especially in,1630.74,5.12 | |
light of of papers about like symbiosis,1633.08,6.18 | |
simulation and um and self and moral,1635.86,5.14 | |
self-correction because the heuristic,1639.26,4.38 | |
imperatives are really good uh signals,1641.0,4.5 | |
and really easy signals to incorporate,1643.64,4.26 | |
into these things and then I already did,1645.5,4.26 | |
mention live I recommend everyone watch,1647.9,4.139 | |
her videos on the Malik,1649.76,4.62 | |
um which they are a little bit dramatic,1652.039,4.081 | |
um at least these two are,1654.38,3.24 | |
um or sorry these two the the beauty,1656.12,3.12 | |
Wars and the media Wars they're,1657.62,2.76 | |
entertaining,1659.24,3.48 | |
um but this podcast with Daniel is um,1660.38,5.34 | |
it's very cerebral uh and it will take,1662.72,5.76 | |
you in the right direction so with all,1665.72,4.68 | |
that said thanks for watching I hope you,1668.48,4.62 | |
found this enlightening and,1670.4,4.74 | |
um elucidated uh some of the things,1673.1,4.62 | |
please go ahead and jump in all the most,1675.14,3.84 | |
important links are in the description,1677.72,4.559 | |
of the video and again uh if you want to,1678.98,5.819 | |
jump in any of the conversations please,1682.279,4.801 | |
feel free to do so this is ramping up,1684.799,3.841 | |
quick and it's really important to get,1687.08,4.94 | |
the signal out thanks for watching,1688.64,3.38 | |