davidshapiro_youtube_transcripts
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Introducing AutoMuse ChatGPT Working on Temporal Hierarchical Memories for AGI ACE systems_transcript.csv
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hey everyone David Shapiro here with an,0.539,3.601 | |
update,2.94,3.18 | |
um so before we get started I will plug,4.14,5.039 | |
my patreon this will take just a second,6.12,5.58 | |
um I'm able to do AI full time because,9.179,4.92 | |
of the support that I get on patreon so,11.7,4.08 | |
if you uh want to support me jump over,14.099,4.02 | |
support me on patreon also if you want,15.78,4.68 | |
any direct help if you sign up for the,18.119,5.58 | |
higher tiers on patreon I am happy to,20.46,5.579 | |
jump in and give you advice or help you,23.699,4.561 | |
solve problems and this goes as far as,26.039,4.441 | |
looking at your fine tuning data talking,28.26,4.139 | |
about architecture and solving whatever,30.48,4.14 | |
other problems you have,32.399,4.801 | |
um okay so that's it for patreon second,34.62,3.72 | |
is,37.2,4.74 | |
um I want to uh plug the r artificial,38.34,5.879 | |
sentience subreddit so this is a,41.94,4.38 | |
subreddit that I and a few other,44.219,3.481 | |
um thought leaders on cognitive,46.32,3.96 | |
architecture created,47.7,4.199 | |
um and it's not my subreddit,50.28,3.48 | |
specifically someone else created it I'm,51.899,4.561 | |
just a member but the primary thing is,53.76,4.74 | |
creating autonomous cognitive entities,56.46,3.9 | |
we would have picked that but that is,58.5,4.079 | |
too long of a subreddit title so we have,60.36,4.32 | |
artificial sentience,62.579,3.621 | |
um jump in over here talk about,64.68,3.9 | |
artificial cognitive entities artificial,66.2,4.66 | |
sentience and so on,68.58,5.219 | |
um next update is uh for the Raven,70.86,5.04 | |
project so I posted an update I pinned,73.799,3.36 | |
it here,75.9,4.14 | |
um the the tldr is that like I'm super,77.159,4.081 | |
burned out,80.04,4.14 | |
um and so I am slowing down that being,81.24,4.08 | |
said,84.18,3.36 | |
um you know this this project has almost,85.32,4.92 | |
700 stars and there's a huge amount of,87.54,5.52 | |
Interest both in AGI today uh in,90.24,5.46 | |
cognitive architecture and also keeping,93.06,6.599 | |
it open source uh specifically so,95.7,6.54 | |
um if you want to jump in uh jump in,99.659,4.801 | |
here we're still getting organized we're,102.24,4.98 | |
figuring out a consensus policy and I'm,104.46,4.32 | |
hoping that with the correct consensus,107.22,3.48 | |
policy it will be more distributed and,108.78,4.08 | |
more participatory,110.7,4.559 | |
um so you know it is slow that's part of,112.86,5.34 | |
the design though now finally to the,115.259,5.4 | |
topic of today's video if you're a chat,118.2,4.62 | |
GPT user you have probably been,120.659,3.721 | |
frustrated over the last few days,122.82,4.56 | |
because all your chats are gone,124.38,6.84 | |
and what I realized is that uh this is,127.38,5.82 | |
really unfortunate because I've been,131.22,5.58 | |
working on my novel and I use it um I,133.2,5.82 | |
create a new chat every time I'm working,136.8,4.38 | |
on a new chapter and what I do is I go,139.02,3.84 | |
back to the old chapters and say write,141.18,4.559 | |
an executive summary of this chapter and,142.86,4.5 | |
then I can just use that to quickly copy,145.739,4.981 | |
paste it into an into a new chat,147.36,5.34 | |
um so that the uh the new chat can help,150.72,4.86 | |
me it's caught up on the story and goes,152.7,4.679 | |
right along but I'm like okay I can,155.58,4.26 | |
automate that it's the same uh set of,157.379,5.58 | |
procedures every time I use an executive,159.84,5.22 | |
summary so that it knows about the,162.959,3.601 | |
characters and the story and so on and,165.06,4.08 | |
I'm like why don't I just go ahead and,166.56,5.16 | |
work on this,169.14,6.36 | |
um uh offline right I can I can manage,171.72,6.42 | |
my own files and if you watched uh my my,175.5,4.379 | |
next most recent video you know that I'm,178.14,5.7 | |
working on a QA chat bot and so these,179.879,6.121 | |
actually have a lot in common it has to,183.84,4.44 | |
deal with organizing an arbitrarily,186.0,4.62 | |
large amount of data a large Corpus of,188.28,5.16 | |
data and the QA chatbot case it is,190.62,6.479 | |
scientific papers in the auto Muse case,193.44,6.2 | |
the auto Muse chat GPT case it is,197.099,4.681 | |
organizing a story,199.64,5.08 | |
and so but because of the similarity,201.78,4.379 | |
right the the thing that they have in,204.72,4.379 | |
common is it has to summarize and search,206.159,4.681 | |
an arbitrarily large amount of memory,209.099,3.601 | |
and it has to do it automatically in the,210.84,4.02 | |
background so these these projects are,212.7,3.84 | |
actually much more similar than you,214.86,3.599 | |
might think from the perspective of,216.54,5.339 | |
cognitive architecture so since chat GPT,218.459,5.821 | |
is down and I can't really use it it's,221.879,3.78 | |
kind of actually stalled my forward,224.28,3.3 | |
progress on my novel,225.659,4.14 | |
so I'm like all right well why don't I,227.58,4.019 | |
just fix this,229.799,5.281 | |
um so what I have done is let me just go,231.599,5.341 | |
ahead and show you the file show you the,235.08,4.26 | |
repo so here is the um here's what I'm,236.94,4.5 | |
working on with the auto Muse chat GPT,239.34,4.58 | |
project,241.44,2.48 | |
so you might have remembered that I I,243.959,3.901 | |
was working on auto Muse a lot last year,245.76,3.72 | |
and then I stopped because I'm like I,247.86,3.54 | |
don't want to hurt anybody I don't want,249.48,3.78 | |
to you know unemploy my friends or,251.4,4.08 | |
whatever now people are using chat gbt,253.26,4.14 | |
to write like crazy and it's all garbage,255.48,4.8 | |
right so or mostly garbage,257.4,4.38 | |
um so I'm not I'm not worried about that,260.28,4.979 | |
anymore I you know when when all the,261.78,5.76 | |
publicate all the all the Publishers are,265.259,4.741 | |
using AI to detect whether or not it's,267.54,4.56 | |
written by AI or to detect the quality,270.0,3.96 | |
speaking of if there are any Publishers,272.1,4.14 | |
out there and you want to learn how to,273.96,3.66 | |
use,276.24,5.04 | |
um AI to to rapidly like,277.62,5.76 | |
um measure the quality of someone's,281.28,4.74 | |
fiction let me know,283.38,3.36 | |
um,286.02,2.58 | |
because that can help you quickly sift,286.74,4.56 | |
through sift the uh the the the,288.6,5.28 | |
um the grain from the chaff,291.3,6.839 | |
um so anyways point being is there's a,293.88,7.08 | |
few components of this that are that are,298.139,5.221 | |
all the same right so you got the the QA,300.96,4.32 | |
I will be working on this it's been,303.36,3.66 | |
three days I had I was really tired over,305.28,3.06 | |
the weekend,307.02,3.179 | |
um burnout is real,308.34,3.6 | |
um but I am recovering and everyone has,310.199,3.421 | |
been very kind about that so I'm I'm,311.94,3.24 | |
grateful and I said like I need some,313.62,2.94 | |
time everyone's like take your time,315.18,2.34 | |
buddy,316.56,3.18 | |
all right anyways going down a rabbit,317.52,4.92 | |
hole point being is that these projects,319.74,4.679 | |
have a lot in common and so what I'm,322.44,4.259 | |
working on is okay how do I create a,324.419,4.801 | |
memory system that works for both of,326.699,5.401 | |
these right because we humans have one,329.22,5.039 | |
memory system and it works for whatever,332.1,4.02 | |
task that we're doing whether you're,334.259,4.38 | |
remembering you know birthdays or how to,336.12,4.919 | |
do your job or whatever and I okay yes,338.639,5.221 | |
it's not one memory system we have a,341.039,4.621 | |
memory operating system you know the,343.86,3.36 | |
hippocampus and all sorts of other,345.66,3.84 | |
connections and representations and,347.22,4.74 | |
abstractions but the point is is that,349.5,5.46 | |
with the correct format or system of,351.96,5.34 | |
abstractions and representations you we,354.96,3.66 | |
should be able to create a memory system,357.3,3.42 | |
that is good for an arbitrary number of,358.62,5.22 | |
tasks so back in the day,360.72,5.18 | |
there was this concept called temporal,363.84,5.34 | |
hierarchical memory which this was like,365.9,6.4 | |
back in 2005 I think people thought that,369.18,5.7 | |
this was going to lead to AGI,372.3,4.86 | |
um and while it didn't pan out it died,374.88,4.74 | |
of quick death the concept is still very,377.16,3.96 | |
helpful and it's actually coming back,379.62,3.66 | |
with Neuroscience,381.12,4.919 | |
um and so basically here is a simple,383.28,5.28 | |
representation of what I mean so we have,386.039,5.1 | |
all your all your narrative logs right,388.56,5.34 | |
so you have narrative memory which is,391.139,5.461 | |
the the the chronologically linear,393.9,5.34 | |
series of experiences that you have,396.6,4.56 | |
right and that's you know that's what a,399.24,3.72 | |
chat log is right it is chronologically,401.16,3.36 | |
linear,402.96,4.799 | |
um but one problem with chat GPT is we,404.52,4.739 | |
have no idea what is going on in the,407.759,4.021 | |
background one rumor is that it uses a,409.259,4.44 | |
scratch pad I don't know that that's,411.78,4.139 | |
panned out someone else told me that all,413.699,4.44 | |
it does is using uses a rolling window,415.919,5.101 | |
of 8 000 tokens which a rolling window,418.139,4.861 | |
of 8 000 tokens that's a lot of text,421.02,5.04 | |
8000 tokens is like,423.0,4.56 | |
um let's see that's about it's like what,426.06,4.8 | |
3.6 characters per token on average so,427.56,6.84 | |
that is over 24 000 characters,430.86,5.58 | |
um which then you you think that the,434.4,3.72 | |
average word is five to six characters,436.44,2.819 | |
long,438.12,3.359 | |
so we're looking at what can I do math,439.259,4.201 | |
right now I think that's about 6 000,441.479,5.821 | |
words so 6 000 words and you know 250,443.46,6.9 | |
words per page uh so that's uh four,447.3,6.66 | |
times six so that is 24 pages worth of,450.36,6.059 | |
text that's a lot of text if that's how,453.96,5.76 | |
it's working now the chat GPT API,456.419,5.22 | |
um the in the documentation they say,459.72,3.539 | |
that you only have four thousand tokens,461.639,3.96 | |
even still four thousand tokens is 12,463.259,4.921 | |
Pages you can summarize quite a bit in,465.599,4.681 | |
12 pages and this is also going to go up,468.18,4.799 | |
over time right they're they're doubling,470.28,5.52 | |
the window size pretty regularly all,472.979,4.741 | |
right so with all that said,475.8,5.1 | |
we have a linear chunk of logs and so,477.72,4.74 | |
what happens sometimes when you're,480.9,3.299 | |
having conversations is it's like it,482.46,3.42 | |
gets something wrong and then you,484.199,3.361 | |
correct it and then you're like no no no,485.88,3.9 | |
that's not what I wanted and so what I'm,487.56,5.22 | |
what I'm doing with this is I've got a,489.78,5.4 | |
few prompts so in a in in a previous,492.78,3.66 | |
chat,495.18,3.54 | |
um chat uh bot project here let me bring,496.44,3.9 | |
that up I'll show you real quick,498.72,2.9 | |
do,500.34,3.84 | |
repositories come on,501.62,4.24 | |
um so in the original,504.18,4.739 | |
um salience one so this this is this is,505.86,5.519 | |
the the progenitor work right this is I,508.919,3.961 | |
probably won't update this because this,511.379,4.561 | |
repo is just for demonstration purposes,512.88,5.7 | |
um but it shows you the idea of using,515.94,5.399 | |
salience to summarize conversations as,518.58,5.579 | |
well as anticipation to uh predict,521.339,5.221 | |
what's going forward so salience is,524.159,5.041 | |
memory and anticipation is going forward,526.56,4.92 | |
right so that is the beginnings of a,529.2,4.5 | |
cognitive architecture so then you take,531.48,4.14 | |
this forward and say okay we have the,533.7,4.199 | |
same exact uh salience in anticipation,535.62,6.3 | |
but it is organized around,537.899,6.781 | |
um writing right so in this case I'm an,541.92,5.34 | |
AI named Muse my primary goal is to help,544.68,4.02 | |
the user plan brainstorm outline and,547.26,2.639 | |
otherwise construct their work of,548.7,3.36 | |
fiction right so it's got a very clear,549.899,4.141 | |
goal and I won't show you uh the,552.06,3.66 | |
conversation I had because it's you know,554.04,4.38 | |
it's private I'm working on my own story,555.72,4.98 | |
um but having setting the decision the,558.42,4.56 | |
the system go to this and then updating,560.7,4.319 | |
it with the salience and the,562.98,3.299 | |
anticipation,565.019,4.561 | |
it is if all you do is just run this as,566.279,6.0 | |
it is right now you will find that it is,569.58,4.92 | |
very very helpful much more helpful than,572.279,4.261 | |
than the plain vanilla,574.5,4.26 | |
um chat GPT at helping you plan your,576.54,4.38 | |
story and in fact,578.76,5.1 | |
um it is so good that you like man it,580.92,5.099 | |
won't need much help in terms of cueing,583.86,4.32 | |
up the correct memories in order to make,586.019,5.88 | |
it even better now all that being said,588.18,7.38 | |
uh you have a a an arbitrarily long chat,591.899,5.761 | |
log right because writing a novel takes,595.56,3.719 | |
a long time,597.66,2.94 | |
um and it's going to be way more,599.279,3.321 | |
information even just you know,600.6,3.84 | |
brainstorming and stuff right because,602.6,3.28 | |
what happens when you're brainstorming,604.44,4.32 | |
you have uh false positives right you,605.88,4.38 | |
have things that you change things that,608.76,2.94 | |
you say no I'm not gonna I'm not gonna,610.26,4.259 | |
go that way so on and so forth and so,611.7,5.94 | |
what happens is it a chat log is,614.519,4.921 | |
basically like a transaction log so if,617.64,3.54 | |
you're familiar with like SQL databases,619.44,4.2 | |
a transaction log tracks all the changes,621.18,5.279 | |
in the database but it builds on one,623.64,4.92 | |
another right they're all sequential and,626.459,4.201 | |
so we have to keep track of that in,628.56,4.98 | |
chronological order so the the next step,630.66,5.28 | |
is to summarize chunks of the,633.54,4.859 | |
conversation as concisely as possible,635.94,4.62 | |
while extracting the most Salient bits,638.399,3.961 | |
and so that's where these two new,640.56,4.08 | |
prompts come in so I have write an,642.36,4.8 | |
executive summary so it's as simple as,644.64,4.379 | |
it says write an executive summary of,647.16,3.48 | |
the following chat log executive summary,649.019,4.741 | |
so this writes a very concise just,650.64,5.04 | |
here's here's a narrative sequence of,653.76,4.259 | |
what happened and so this allows it to,655.68,4.56 | |
keep track of okay this is this is how,658.019,4.801 | |
the conversation has gone with while,660.24,4.86 | |
excluding a lot of the irrelevant,662.82,5.34 | |
details and then secondly story details,665.1,4.739 | |
so write a summary of what we learn,668.16,3.119 | |
about the story from the following chat,669.839,5.401 | |
log now this should be in the long run,671.279,7.381 | |
this prompt won't work for other tasks,675.24,5.76 | |
right this is this is hard-coded this is,678.66,4.32 | |
geared towards writing fiction because,681.0,4.2 | |
it says specifically,682.98,4.799 | |
extract information about the story in,685.2,4.139 | |
the future the cognitive architecture,687.779,4.5 | |
should design this task or or do task,689.339,5.94 | |
selection to figure out what exactly is,692.279,5.101 | |
most relevant to summarize that being,695.279,4.921 | |
said because Auto Muse is purpose built,697.38,4.92 | |
for fiction we can go ahead and hard,700.2,3.3 | |
code it,702.3,3.659 | |
um but what this does is it ignores the,703.5,3.66 | |
conversation,705.959,3.12 | |
and just says what do we know about the,707.16,2.76 | |
story,709.079,3.121 | |
and I tested this out and it actually,709.92,4.56 | |
works really well so like you can take a,712.2,4.74 | |
long conversation that's 2 000 tokens,714.48,4.68 | |
long and you end up with a 200 token,716.94,4.019 | |
summary of what you learn about the,719.16,2.7 | |
story,720.959,3.601 | |
so that those those summaries the,721.86,4.02 | |
executive summary and the story,724.56,3.42 | |
extraction those are going to be,725.88,4.5 | |
summarized in these chunks right and so,727.98,4.32 | |
you get a 10 to 1 reduction in terms of,730.38,3.48 | |
files because that's how I've got it set,732.3,4.5 | |
right now where every time you get to a,733.86,5.4 | |
10 dialogues back and forth and this is,736.8,4.8 | |
an arbitrary number in fact I should,739.26,3.54 | |
probably,741.6,2.46 | |
um just have this as the the,742.8,3.0 | |
conversation length,744.06,3.24 | |
um I should parameterize that but,745.8,4.44 | |
anyways 10 is fine because you don't,747.3,4.68 | |
want to go right up to the to the window,750.24,4.32 | |
limit because one you don't know how,751.98,4.859 | |
long the conversation is going to be and,754.56,4.62 | |
two you want to regularly summarize,756.839,3.601 | |
what's going on,759.18,4.32 | |
okay so then once we get and this is as,760.44,5.22 | |
far as I got I tested those prompts and,763.5,4.56 | |
if you look at the the two Do's,765.66,4.739 | |
um the the the the very next to do is,768.06,4.68 | |
I've got to actually populate the chunk,770.399,3.601 | |
summaries you see there's nothing here,772.74,3.719 | |
right I've got the chat logs and so now,774.0,4.86 | |
I need to integrate the summaries and,776.459,4.88 | |
put those summaries here,778.86,5.46 | |
and for those I don't know whether or,781.339,4.541 | |
not I need to use semantic embedding,784.32,5.04 | |
right because the the the the primary,785.88,5.88 | |
organization feature here is timestamp,789.36,4.32 | |
so you see chat underscore timestamp,791.76,5.34 | |
user Muse user Muse user Muse and so,793.68,5.7 | |
that is probably all the organization,797.1,4.62 | |
that I actually really need,799.38,4.62 | |
um because again with a temporal,801.72,4.08 | |
hierarchical memory,804.0,4.92 | |
um uh time is the primary organizing,805.8,5.219 | |
Factor not semantic search we actually,808.92,3.599 | |
don't care what's in it semantically,811.019,3.901 | |
because we're going to algorithmically,812.519,4.861 | |
just recursively or not recursively but,814.92,5.58 | |
repeatedly summarize these chat logs so,817.38,4.56 | |
those are going to end up here in the,820.5,2.7 | |
chunk summaries,821.94,3.24 | |
and the chunk summaries are about five,823.2,5.52 | |
to ten times shorter than the originals,825.18,6.3 | |
so that that allows us to really kind of,828.72,4.679 | |
distill down okay what is the most,831.48,3.96 | |
important information and then we're,833.399,4.081 | |
going to do another layer above that,835.44,5.22 | |
which is we're going to extract the,837.48,5.88 | |
topics from these and then the topics,840.66,4.799 | |
are not going to be linear right because,843.36,4.979 | |
you know you think about like okay what,845.459,5.161 | |
do I know about Abraham Lincoln that is,848.339,4.081 | |
not anchored to time that is detached,850.62,4.2 | |
from time now your understanding of,852.42,4.14 | |
Abraham Lincoln might be updated right,854.82,3.36 | |
you might have like you can think of it,856.56,3.48 | |
as an internal Wikipedia page in your,858.18,4.14 | |
head and so what we'll do is we'll,860.04,4.68 | |
transition from this temporal,862.32,4.86 | |
hierarchical part to a more knowledge,864.72,5.28 | |
graph or topical component and so that,867.18,4.68 | |
is the third layer of abstraction So,870.0,5.04 | |
eventually what I want is for an auto,871.86,6.06 | |
Muse it's going to have a top like the,875.04,5.88 | |
whoops yeah come back so the primary you,877.92,4.8 | |
know so the chat logs that is like low,880.92,5.039 | |
level uh uh raw memories then there's,882.72,5.22 | |
the chunk summaries which is one layer,885.959,3.5 | |
above that so you can think of that as,887.94,4.74 | |
medium term memory and then long-term,889.459,6.221 | |
memory is going to be this kg model this,892.68,4.92 | |
knowledge graph model of topics I don't,895.68,3.3 | |
know that it's actually going to be a,897.6,3.359 | |
Knowledge Graph because I don't with,898.98,3.419 | |
semantic search I don't really care,900.959,2.761 | |
about the links,902.399,5.161 | |
between it and also because because the,903.72,5.28 | |
story is going to be updated and,907.56,3.66 | |
summarized repeatedly I don't know that,909.0,4.32 | |
we actually even need semantic search so,911.22,4.919 | |
we might not do any embeddings with this,913.32,5.1 | |
um just by virtue of the memories are,916.139,4.32 | |
going to be so well organized and it's,918.42,3.419 | |
going to be organized around one,920.459,3.901 | |
specific project so here's the thing,921.839,4.62 | |
when we get to the to the to a fully,924.36,4.02 | |
fledged cognitive architecture like,926.459,4.021 | |
Raven where it's like oh hey Raven let's,928.38,4.259 | |
talk about my story you absolutely will,930.48,3.96 | |
need some kind of search so that Raven,932.639,4.621 | |
can locate the correct set of memories,934.44,4.86 | |
um but even still we should probably,937.26,5.28 | |
have some kind of hierarchical,939.3,5.399 | |
um automatic organization in the,942.54,4.26 | |
background ideally it's all kept in,944.699,4.44 | |
natural language because again when we,946.8,4.74 | |
get to the level of fully autonomous AGI,949.139,4.921 | |
you want its thoughts to be entirely,951.54,4.799 | |
transparent and entirely interpretable,954.06,4.8 | |
by humans because like if you have your,956.339,4.261 | |
AGI whether it's Raven or another one,958.86,4.02 | |
thinking hey Gee maybe I should go get,960.6,4.2 | |
access to nuclear launch codes you want,962.88,4.139 | |
to be able to see that in clear text you,964.8,4.74 | |
don't want AGI memories to be in some,967.019,4.861 | |
abstract embedding or AGI specific,969.54,4.62 | |
language we want it all to be in in pure,971.88,4.92 | |
natural language so that one it can,974.16,4.2 | |
understand us and we can understand it,976.8,4.5 | |
and we'll have trust so anyways,978.36,4.68 | |
that's where we're at I didn't get too,981.3,2.94 | |
much further today because again,983.04,3.659 | |
recovering from burnout um but I'm,984.24,3.839 | |
really happy with this especially some,986.699,3.361 | |
of the tests that I did and I apologize,988.079,3.361 | |
I can't show it but what I encourage you,990.06,2.579 | |
to do is,991.44,3.72 | |
um just go ahead and clone this down and,992.639,5.94 | |
run chat it should work as it is,995.16,4.919 | |
um actually you might you might want to,998.579,3.541 | |
comment this out because it'll reset,1000.079,4.56 | |
your conversation every uh 10 dialogues,1002.12,5.399 | |
but just with the anticipation in,1004.639,5.88 | |
salience and having it um having it,1007.519,5.76 | |
having this as the objective it's really,1010.519,5.161 | |
good already it'll help you plan out,1013.279,5.521 | |
your story it won't write Pros for you,1015.68,5.64 | |
um maybe we'll get to that one day uh,1018.8,4.86 | |
but yeah so that's that and then the QA,1021.32,3.239 | |
bot,1023.66,2.88 | |
so talking talking through the memory,1024.559,5.941 | |
here in this case the memory is abstract,1026.54,6.72 | |
it's not it's not narrative the memory,1030.5,6.419 | |
is in the form of papers right and so,1033.26,5.88 | |
this these text documents that's the,1036.919,4.5 | |
memory that we need to work on but then,1039.14,4.919 | |
we need to have other kinds of cognitive,1041.419,4.681 | |
tasks like you know what am I going to,1044.059,4.801 | |
read or um you know what am I going to,1046.1,4.079 | |
summarize or what am I going to,1048.86,3.3 | |
synthesize and so I've been thinking,1050.179,5.581 | |
through this and um and the direction,1052.16,6.18 | |
that I'm going with it is the very next,1055.76,4.44 | |
thing that's going to happen is there's,1058.34,4.38 | |
going to be a cognitive control module,1060.2,4.859 | |
and so as you're talking to it the,1062.72,5.1 | |
cognitive control module will have a,1065.059,4.86 | |
it'll have it'll have a menu of various,1067.82,4.44 | |
things that it can do one it can just,1069.919,3.961 | |
ask you a question ask you a follow-up,1072.26,3.659 | |
question say hey do I know what you're,1073.88,3.179 | |
doing,1075.919,3.961 | |
um it can read papers it can summarize,1077.059,5.341 | |
papers it can synthesize new information,1079.88,4.86 | |
based on information that it's got and,1082.4,4.68 | |
then it can generate hypotheses I think,1084.74,4.319 | |
that's those are the primary cognitive,1087.08,4.68 | |
tasks now it's going to automatically,1089.059,6.061 | |
pick which task it wants to use based on,1091.76,5.46 | |
where you're at in the conversation so,1095.12,3.299 | |
the first thing that happens in the,1097.22,4.02 | |
cognitive control module is that it will,1098.419,4.5 | |
update its task,1101.24,3.12 | |
um so it'll basically have a task log,1102.919,3.721 | |
right and so the task log will be,1104.36,4.559 | |
similar to the scratch Pad,1106.64,4.32 | |
um and it'll be like so we'll have,1108.919,4.321 | |
instead of instead of the chat log Write,1110.96,3.959 | |
a brief summary of the most Salient,1113.24,3.9 | |
points of the conversation we're going,1114.919,3.481 | |
to have,1117.14,3.659 | |
um update the task log based on task,1118.4,5.159 | |
salience right so task sailing says what,1120.799,5.581 | |
is it that we're doing and also instead,1123.559,6.301 | |
of instead of having the goal uh,1126.38,7.62 | |
uh you know I'm an AI Muse my my goal is,1129.86,6.48 | |
to plan brainstorming instead the goal,1134.0,5.4 | |
will be to advance science and so by,1136.34,5.699 | |
tell just by telling chat GPT your goal,1139.4,4.56 | |
is to advance science it will adopt a,1142.039,4.441 | |
new model and a new approach,1143.96,4.64 | |
um to what it's doing and so anyways,1146.48,4.559 | |
these projects will be there's going to,1148.6,4.42 | |
be some very distinct differences and as,1151.039,4.621 | |
I learn about it I'll be able to create,1153.02,4.74 | |
um a more pragmatic higher level,1155.66,3.78 | |
abstraction,1157.76,3.659 | |
um that can be uh more universally,1159.44,3.72 | |
applied,1161.419,5.221 | |
so anyways that's the update for today,1163.16,5.759 | |
um I know that this is probably not the,1166.64,4.38 | |
kind of update you're used to but it is,1168.919,3.781 | |
what it is and uh let me know what you,1171.02,4.399 | |
think in the comments,1172.7,2.719 | |