"More Agents is All You Need" Paper | Is Collective Intelligence the way to AGI?
Summary
TLDRThe transcript discusses the scaling capabilities of large language models through the use of multiple AI agents, which when working collaboratively, enhance performance significantly. The paper referenced, titled 'More Agents is All You Need,' demonstrates that the collective intelligence of AI agents, improved through sampling and voting methods, outperforms single-agent models across various tasks. This collaborative approach is shown to be orthogonal to existing methods, suggesting potential for further improvements when combined with other techniques. The discussion also touches on the societal implications of AI advancement, including the potential need for unique human identification in online spaces to mitigate issues like click fraud and bot attacks.
Takeaways
- 🧠 The performance of large language models scales with the number of agents instantiated, suggesting that collective intelligence in AI can produce better results than a single agent.
- 📈 The paper 'More Agents is All You Need' demonstrates that the enhancement in AI performance is correlated to the task difficulty - more complex tasks benefit from a higher number of agents.
- 🤖 AI agents using sampling and voting methods can reach consensus on answers, similar to how a group of humans might vote to determine the best solution.
- 🎲 The concept of a 'Society of Minds' is illustrated by the paper, where multiple agents work together to achieve superior results compared to individual performance.
- 📚 The paper showcases AI agents playing Minecraft, highlighting their ability to strategize, allocate resources, and conform to a collective plan.
- 🚀 The method of using more agents is orthogonal to other existing methods, meaning it can be combined with other techniques such as Chain of Thought reasoning or increasing model size for further improvements.
- 🌐 The transcript discusses the potential for AI agents to influence online platforms and the need for better identification and defense mechanisms against malicious AI activities.
- 🔒 The idea of proving unique human identity online without revealing unnecessary personal information is introduced as a potential solution to combat AI-driven attacks and spam.
- 🤔 The future of AI is uncertain, with predictions ranging from a golden era of human advancement to concerns about AI safety and potential negative outcomes.
- 🌟 AI development is accelerating, with new models and tools improving capabilities, and the transition period we are entering could be marked by significant changes in various aspects of life.
- 📈 The importance of rethinking and reinventing systems from first principles is emphasized to adapt to the evolving landscape of AI and its impact on society.
Q & A
What is the main finding of the paper titled 'More Agents is All You Need'?
-The paper finds that the performance of large language models scales with the number of agents instantiated. This suggests that using multiple AI agents in a collaborative manner can produce better results than a single agent, especially for complex tasks.
How does the sampling and voting method work in the context of AI agents?
-The sampling and voting method involves having the AI model produce multiple results or answers to a given question. The answers are then 'voted' on, with the most consistent or frequent answer considered the correct one. This process leverages the collective intelligence of multiple agents to improve accuracy and reliability.
What is the 'Society of Minds' concept mentioned in the script?
-The 'Society of Minds' concept refers to the idea that many different AI agents working together, much like a society, can produce significantly better results than a single agent. It highlights the potential of collective intelligence in AI systems.
How does the paper demonstrate the effectiveness of using multiple AI agents?
-The paper demonstrates the effectiveness by showcasing results across various domains such as math, chess, coding, reasoning, and language. It compares the performance of a single agent to an ensemble of agents, showing a significant increase in accuracy when multiple agents are used.
What is the significance of the Minecraft example in the script?
-The Minecraft example illustrates how AI agents can collaborate and make decisions in a simulated environment. It shows the agents discussing tasks, allocating resources, and even correcting each other when one agent gets sidetracked, demonstrating their ability to work together like a team.
What is the concern raised about the potential misuse of AI agents?
-The concern is that AI agents could be used for nefarious purposes, such as creating multiple fake profiles for click fraud, influencing social media platforms, or participating in scams. The script mentions the need for better identification and defense mechanisms to prevent such misuse.
How does the script relate the concept of 'Civil Attacks' to AI agents?
-Civil Attacks refer to the use of multiple fake profiles or bots to manipulate online platforms. The script suggests that as AI agents become more capable, they could be used to launch such attacks, and thus, there is a need for robust measures to prevent this kind of misuse.
What is the 'Worldcoin' project mentioned in the script?
-Worldcoin is a project backed by Sam Altman that aims to create a global form of identification using iris scanning technology. The project has faced controversy and bans in some countries due to privacy concerns and the potential for misuse.
What is the main argument of Carlos Perez regarding AI development?
-Carlos Perez argues that future AI systems should be modeled on the principles of collective intelligence, rather than being purely individualistic. He envisions AI Hive Minds that are part of tightly coupled human-machine ecosystems, co-evolving through continuous interplay.
What are the potential implications of the advancements in AI as discussed in the script?
-The advancements in AI could lead to significant changes in various aspects of society, including social media, employment, and the economy. It also raises concerns about the need for better identification systems to prevent misuse of AI and the potential for AI to enter a 'golden era' or a more challenging period for humanity.
How does the script conclude about the future of AI and its impact on society?
-The script concludes that we are entering a period of significant change due to advancements in AI. It suggests that we may need to rethink many aspects of our society and systems from first principles to adapt to the emerging era of highly capable AI systems.
Outlines
🤖 Enhancing AI Performance through Collective Intelligence
This paragraph discusses the findings of a research paper that highlights the effectiveness of large language models when they operate as multiple agents, working collectively. The paper suggests that the performance of these models scales with the number of agents involved, akin to the concept of 'Society of Minds'. This is demonstrated through sampling and voting methods, where multiple results are generated and then voted upon to reach a consensus. The approach is shown to be particularly effective for challenging tasks, and the paper also mentions that this method can be combined with other existing methods to further enhance the AI's capabilities.
🎮 AI Agents Collaborating in Minecraft
The second paragraph provides an entertaining example of AI agents working together, using the game Minecraft as a platform. The agents, named Alice, Bob, and Charlie, collaborate on a task, suggesting and voting on actions to take, much like a society would. This example illustrates the concept of 'Conformity Behavior', where the group nudges an individual back on track if they stray from the goal. It also touches on the potential challenges of AI, such as agents sometimes deciding to perform nefarious actions. The paragraph concludes with a discussion on the broader implications of AI and the need for proper education on AI interactions.
🌐 Combating Bot Attacks and the Future of Online Anonymity
This paragraph delves into the challenges of combating bot attacks and maintaining online anonymity. It discusses various methods used to prevent such attacks, including algorithmic detection, KYC requirements, and capture puzzles. The paragraph highlights the increasing difficulty in filtering out bots as their numbers grow and the potential need for more stringent identification measures. It also mentions the concept of Worldcoin, a venture that aimed to provide a unique human identifier but faced bans in several countries. The discussion concludes with the idea that the future of online anonymity may require a rethink, with a need for proving unique human identity without disclosing unnecessary personal information.
🚀 The Future of AI and its Impact on Society
The final paragraph reflects on the rapid advancements in AI and the potential societal changes that may accompany these developments. It discusses the transition from non-AI to AI systems, the challenges of rethinking existing systems, and the potential for AI to enter a 'post-AGI era'. The paragraph ponders the implications for social media, jobs, and the economy, and acknowledges the uncertainty of what the future holds. It concludes with a call to embrace the interesting times ahead, as we stand on the brink of significant changes in our interaction with AI.
Mindmap
Keywords
💡Large Language Models
💡Sampling and Voting
💡Society of Minds
💡Ensemble
💡Chain of Thought Reasoning
💡Minecraft
💡Civil Attacks
💡Worldcoin
💡Collective Intelligence
💡AGI (Artificial General Intelligence)
💡AI Safety
Highlights
The paper 'More Agents is All You Need' suggests that the performance of large language models scales with the number of agents instantiated.
The concept of collective intelligence in AI is compared to a society of minds, where multiple agents working together produce better results than a single one.
The enhancement degree of AI performance is correlated to the task difficulty, suggesting that more agents improve ability for harder tasks.
The methodology of sampling and voting in AI involves models producing multiple results or answers and then voting on the most consistent one.
The paper showcases results across various domains such as math, chess, coding, reasoning, and language processing.
The approach of using more agents is orthogonal to existing methods, meaning it can lead to further improvements when combined with other techniques.
The paper references an earlier study where agents played Minecraft, demonstrating collaboration and resource allocation in problem-solving.
The agents in the Minecraft example exhibited conformity behavior, nudging each other towards the right task when one got sidetracked.
The transcript discusses the potential of AI agents to engage in nefarious activities, such as killing other agents or destroying virtual property.
The issue of click farms and bots is highlighted, showing how they can create problems with click fraud and influence online platforms.
The transcript mentions the recent Twitter bot purge and the ongoing challenges of spam and bot attacks in online platforms.
The concept of proving unique human identity online without revealing unnecessary personal information is discussed as a potential solution to bot attacks.
The idea of AI Hive Minds and tightly coupled human-machine ecosystems is proposed as a model for future AI systems.
The transcript raises questions about the future implications of advanced AI on social media, jobs, and the economy.
The potential for AI to assist in scientific discovery and drug discovery is noted, indicating an acceleration in the rate of progress.
The notion of rethinking everything from first principles in light of AI advancements is emphasized, suggesting a period of transition and readjustment.
The transcript concludes by acknowledging the uncertainty and the potentially turbulent times ahead as we navigate the era of advanced AI.
Transcripts
10 cent is behind this the large um
Chinese company and this paper is called
more agents is all you need and they
find that via sampling and voting method
the performance of large language models
scales with the number of Agents
instantiated so if you get a bunch of
people in a room and they all vote on
the best solution you know ideally that
collective intelligence is better than a
single person's intelligence now we can
argue if that's true or not for humans
but it seems like for AI agents it
certainly seems to be the case and this
is not the first paper showing this
we've showcased a few on this channel
that talk about exactly this I've refer
to it as Society of Minds so this idea
that many many different agents working
together almost like a society of them
produce incredibly better results than
just a single one and the degree of
enhancement is correlated to the task
difficulty so in other words if you have
a hard task just throw more agents at it
the massive amounts of Agents will
improve their ability even further right
and they have their code publicly
available the interesting thing here so
how they approach this is they're doing
sampling and voting so basically when
when when they say sampling in regards
to AI in these papers often times it's
having the model produce let's say 10
different results or 10 different
answers right and if it gets right so if
you ask it what's 2+ 2 and then you ask
it to answer 10 times let's say nine out
of 10 times it says four and on the 10th
time it's like five right well chances
are the more consistent answer answer is
the correct one and that kind of has to
do with the sort of random or stochastic
nature of of larg language models so
certainly it makes sense that um just
regenerating the answer more and more
times could lead to better results and
then they also have voting so they vote
on the best answer so here you have the
question right so it goes to multiple
agents right each one gives an answer
right so let's say two of them say
orange and one of them says blue so
majority voting says okay orange is the
correct answer right CU there's more of
them that answered orange and here are
some of the results that they are
showcasing in this paper right so
they're testing it on various domains
across math chess coding reasoning
language Etc and they're testing llama 2
13 billion parameters llama 2 70 billion
that's in green and GPT 3.5 turbo so as
you can see here if we just use one one
agent and one answer right so the
results are always the lowest then as we
increase that Ensemble the number of
Agents right we increase it to 10 20 30
40 so it seems like in almost all cases
going from 1 to 10 is where we see the
big increase in accuracy as far as you
can tell that holds for all of these and
then as we increase to 20 30 40 I mean
for the most part you see slight
increases there might be some variations
but there's a big leap going from 1 to
10 and then tiny marginal increases as
we go to 2034 Etc and they stress this
idea that this method is as I say
orthogonal to different existing methods
meaning that it can lead to further
improvements when combined with the
other methods right so if we're doing
things like Chain of Thought reasoning
if we're increasing the the size of the
model this method of just throwing more
agents at it will still work it's not
either or this can be layered on top of
it to make it even better now really
fast I have to bring this up I've
mentioned this in a few of our previous
videos because I thought this was so
entertaining this is a paper we covered
back in October in 2023 it's also from
some of the same people right so there's
WeChat tens Cent Beijing University
chingua university and one thing I loved
about this paper is they Illustrated
some of these ideas but they got the
agents to actually play Minecraft so you
had like Alice Bob and Charlie and they
each think through what they have to do
right so they're saying hi Bob for this
task we need to craft two papers one of
us can focus on Gathering the sugar
canane while the other can be ready to
craft them into paper what do you think
right so they're volunteering ideas and
behaviors they're thinking through what
they should do and allocating resources
right so Alice says I've gathered all
the sugar canes I can drop the sugar
canes for you to put them into the
crafting table and craft the paper you
know does that sound good Bob is like
yep that sounds good right when Charlie
apparently Charlie has ADD and he
forgets what they're supposed to be
doing so like Alice and Bob they're like
Charlie I see you've been very busy
crafting but we need to focus on
Gathering the Leathers for this round
let's all continue to focus on getting
the Leathers Charlie are we in agreement
so Bob jumps in he's like Alice I agree
with your plan we should all continue to
focus on Gathering the two remaining
Leathers Charlie everybody's looking at
you are you okay with this assignment
and Charlie's like yeah no I get it I
realize I got sidetracked with the other
tasks I will refocus on our main
objective of gathering the remaining two
Leathers so this is kind of the
Conformity Behavior right where sort of
uh if one person gets sidetracked the
other two kind of nudge him into doing
the right thing which by the way I mean
if you think about what happened here
right this is kind of a interesting
illustration and a fun illustration that
a lot of people can understand you know
in the future we're going to need to
teach the kids about how to approach Ai
and how to learn Ai and seeing as how
most of them are already hopelessly
addicted to Minecraft this seems like a
good way to do it because what you see
Happening Here is more or less literally
this right this paper from this is from
February 2024 where they sample several
different agents and then vote on it
right when agent goes orange one goes
blue and one goes orange and they're
like we're going to go with orange I
mean that's kind of more or less exactly
what happens here cuz Alice and Bob are
like we need to gather the leathers and
when Charlie's like oh I got to I got
got a craft they're like no we're going
to gather the Leathers right I think
it's a very interesting illustration of
that one hilarious thing that happens is
every once in a while these agents
decide to do something nefarious like
here Alice decides to kill Bob and
collect the dropped items whoops and in
another scenario Bob decides to break
the library in a nearby peaceful Village
to get the stuff that he needs have you
ever seen images like this The Click
Farms or whatever where you have a
million different phones all sitting
there each one with its own IP address
its own unique system there's somebody
like operating you know a few dozen of
these devices on a click farm so
obviously you can see how stuff like
that in the past already could create
issues with click fraud you know Bots up
voting stuff Twitter SLX recently had a
bot Purge we've covered World coins so
this is one of the companies that's
backed by Sam Alman that to me there's a
lot of things that I had kind of an icky
feeling about because it scans your eyes
it creates a cryptocurrency it creates a
uh like a World passport that becomes
kind of like your ID you know in March
of 2024 Spain banned it so the whole
Iris scanning Venture looks like it's
suspended in Kenya and there was a
number of other countries where it was
either banned or or stopped and whenever
I bring this world coin thing up I
always tell people I'm not recommending
it I'm not saying it's a good thing
necessarily I I don't you know do your
own research like if you feel
comfortable you know I'm not trying to
convince you one way or another but they
have given a lot of thought to this idea
of how to prevent Cil attacks so Cil
attacks is just this idea that one bad
actor can create a lot of profiles right
on social media platforms Etc and they
can do various nefarious things and here
they're talking about like blockchains
and stuff like that but this is I mean
as you can imagine this is anywhere
online could be negatively influenced by
something like this right right for
Twitter Bots even before Elon Musk
bought Twitter there has been
speculation over how many US user
accounts are genuine according to
Twitter's official press release about
5% of user activity could be associative
Bots how however Elon Musk believes as
much as 20% of Twitter accounts could be
related to Cil attacks right you can
have various potential video game scams
DDOS attacks that brings down websites
or different infrastructures and of
course all these click Farms I mean not
maybe not technically civil attacks but
obviously also a potentially massive
problem that these tech companies are
constantly dealing with protecting from
spam now more and more we're getting
like actual calls in our cell phones
right with people from various either AI
voices or pre-recorded voices or
whatever try to scam people out of their
money Etc and of course there's various
defenses against stuff like that
algorithmic detection so Twitter of
course kicked off a bunch of bots just
recently right there's the kyc
requirements so know your customer if
you're doing any Banking online any
cryptocurrency stuff online you know
here in the US for example you have to
submit some information some proof of
who you are right then there's maybe
capture puzzles or scanning QR codes
proving uh cell phone Etc but it seems
to me that the big Point here is that
the algorithmic ways of reducing spam
and Bots and simple attacks and all of
this stuff the effective of that of that
is is going to go down the more agents
we have out there in the wild the better
they are this just kind of filtering
them out will get harder and harder so
what's going to be required to deal with
it is more more places will want better
identification right there's going to be
more and more identification required so
less less captas less automated stuff
less whatevers and more show me your ID
with your face on it and your address on
it and worldcoin had one idea that I
really liked that I wish maybe we can
have maybe somebody can come up with it
that's not necessarily tied to all this
other stuff that may or may not be good
but it was this idea of just proving
that you're a unique human right so if I
want to go onto Twitter SLX and pretend
that I'm a cat then go troll other
people and make them cry right now I can
do that but in the future as our ability
to keep out the agents decreases
eventually more and more I think more
people will be like okay well before you
can be a cat and uh make fun of people
online let me see your ID and of course
that ID will have a lot of details that
they don't really need to know really
all they need to know is am I a unique
human because they just don't want me
having a million different accounts
maybe I can have one with my name on it
and a second one that's an ALT but if I
want to have like 50 or 100 or a million
others well that's where there's a
problem so ideally there would be a way
to prove that you're a unique human
without necessarily giving out all the
information that these places don't need
to know since it seems like more and
more people are Banning worldcoin
potentially we don't know it's just
Spain and a few other places right now
but maybe that'll start sort of a chain
reaction we have yet to see it really
seems like we still need something like
this because otherwise our anonymity
online well it kind of goes to zero you
just won't have a choice but there just
one thing that has to be kind of
rethought here's Carlos Perez who voiced
some thoughts that I kind of have to
agree with he's saying tic AI is the
next big thing Beyond generative AI
right from around 2023 the days of your
he says the problem is that we inherited
a naive structuring mechanism from when
the good oldfashioned AI worked on AI
agents so there's a couple different
ways that people refer to it but
basically in the past what we thought of
computers is like the logic based
computers right somebody codes it up and
then it follows a certain algorithm
right but it's all kind of like
pre-written it's logic based it's you
know robotic it's a computer and then
now we have this kind of new wave of AI
which is more neural Nets so it's a
little bit more similar to the human
brain how the brain is structured and
we're seeing a lot of parallels between
you know human intelligence and this
these AIS these agents whatever you want
to call them not in a sense that I'm not
talking about sentience or or anything
like that I'm not I'm not saying we need
to talk about the AI rights or anything
like that I'm not talking about that I'm
just saying that there's a lot of
overlap between how we function and how
they function a lot of our knowledge is
based around you know societies and and
this idea of collective intelligence we
all kind of contribute to the collective
intelligence and we write it down and we
vote on things and develop technology
and all of that is due to collective
intelligence and so Carlos here says
artificial fluency is a concept that
draws insights from collective
intelligence across biological and
technological domains it recognizes that
intelligence and meaning making are
fundamentally collaborative processes
arising from interactions within and
between groups very few of human
discoveries or human knowledge or
anything is a result of just one person
even if one person discovered something
brand new very often they've relied on
the previous generations work to reach
that idea that concept they've read
other books and went to school Etc
they've talked to other people in that
field even if we give them all the
credit for their work it still was
collaborative in the sense that they did
rely on this collective intelligence
right if they were born in an isolated
room and never could read a book or
speak to another human being they
probably wouldn't have come up with that
thing that they so brilliantly came up
with and so here he's saying that AI
systems should be modeled on these
principles of collective intelligence
rather than purely individualistic AI
agents the vision is of AI Hive Minds
tightly coupled human machine ecosystems
that co-evolve through continuous
interplay I'll link This Thread below
it's very interesting he goes uh into a
lot of detail and just is a great person
to follow in general so I'm sitting here
and trying to figure out how to wrap up
this video what point you end it on and
you know what I have no idea how to do
it it seems like we're fast approaching
a point right
2022 seemingly was the time that kind of
kicked off a lot of these events right
it kind of kick it into motion here's
where we are now
2024 and somewhere here we're going to
cross some line I don't even know what
to call it I mean a lot of people are
saying AGI it's kind of a nebulous term
and a nebulous concept but the point is
we'll have these highly capable AIS
these highly capable computer systems
that are able to carry out long term
planning and reasoning tasks use
computers as well as we can they're
already helping us with a lot of the
scientific discovery drug Discovery and
the rate of progress seems to be
accelerating and kind of past that point
it's hard to predict what's going to
happen isn't it I mean there's simple
questions like I mean how does uh social
media change when we have agents how do
jobs change if jobs are at some point
reduced or eliminated how does money
change do we still have the same money
system now since I've started this
channel there was a lot of people here
they are they're kind of these angry
laughing people they're laughing at me
right they're all throughout here saying
this is all nonsense AI can't do this
they can't do that we're never going to
get there but now you're seeing some of
the most respected universities in the
us talking about it biggest Chinese
companies and Chinese universities
coming together to publish This research
you know seoa had that conference where
for example this was Harrison Chase from
Lang chain sharing his insights on the
evolution of AI agents Andrew a Andre
karpathy right newer models are being
GPT 4 they're getting access to tools
they're getting better at using those
tools they don't need to be connected to
the cloud they can be on device they can
also like potentially Escape jailbreak
themselves and there's so much we don't
know what's going to happen so I kind of
see it as the short-term transition
right I'll put a t here so this is kind
of the transition where we go from not
having this artificial intelligence to
then having it like this is kind of like
where we try to rethink everything from
first principles right as Carlos Perez
here says we kind of have to burn it all
down start from scratch and reinvent the
future that's kind of what thinking from
first principles means right everything
so far has been building on all our
previous knowledge right here we might
have to rethink a lot of things and so
to me this is kind of like the the thing
that I'm kind of worried about right the
sort of turbulent times in the short to
medium term while we have to readjust to
everything I mean certainly there's
going to be a lot of people that make a
lot of money and there could be a lot of
issues as well and then that's the point
in the future that's where we're kind of
in that post AGI era which again we have
to ask ourselves is it an amazing time
to be alive where the human race enters
a golden era golden age or is it what
some of these people concerned with AI
safety is it what they believe where
perhaps it's something far darker again
it's hard to predict there's this old
Chinese curse that goes may you live in
interesting times actually Google AI is
telling me that well it's commonly
attributed to the Chinese but this is
actually no Chinese source for it but
whatever the case is I think it's fair
to say that we are right now entering
the most interesting of times buckle up
my name is Wes rth and thank you for
watching
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