"More Agents is All You Need" Paper | Is Collective Intelligence the way to AGI?

Summary

The 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

00:00

🤖 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.

05:02

🎮 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.

10:04

🌐 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.

15:05

🚀 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.

Keywords

💡Large Language Models

Large Language Models refer to artificial intelligence systems designed to process and generate human-like text based on the input they receive. These models are capable of understanding context, semantics, and grammar, which allows them to produce coherent and relevant responses. In the video, it is mentioned that the performance of these models improves with the increase in the number of agents, suggesting that a collective approach can lead to enhanced outcomes in AI tasks.

💡Sampling and Voting

Sampling and voting is a method used in AI research where multiple versions of a solution are generated (sampled) and then evaluated (voted upon) to determine the most accurate or suitable outcome. This approach mimics the decision-making process in a democratic society, where multiple opinions are considered, and the majority decision is taken as the final output. In the context of the video, AI agents use this method to improve their performance on various tasks.

💡Society of Minds

The term 'Society of Minds' is used to describe a concept where numerous AI agents work together, similar to a society, to achieve better results than a single agent could. This concept is based on the idea that collective intelligence can surpass individual intelligence, drawing parallels to how human societies function. In the video, it is suggested that the performance of AI agents scales with the number of agents, indicating that a society of minds can produce superior outcomes.

💡Ensemble

In the context of AI, an ensemble refers to the combination of multiple models or agents to solve a problem. The idea is that by working together, the ensemble can achieve higher performance than individual agents. This concept is analogous to a team of experts collaborating to find a solution, which is often more effective than the work of a single expert.

💡Chain of Thought Reasoning

Chain of Thought Reasoning is a method used by AI systems to solve complex problems by breaking them down into smaller, more manageable steps. This approach mimics the way humans think through problems,逐步推理直至找到解决方案。This method is particularly useful for tasks that require logical deduction and a deep understanding of the problem space.

💡Minecraft

Minecraft is a popular sandbox video game that allows players to build and explore virtual worlds made up of blocks. In the context of the video, it is used as an example to illustrate how AI agents can work together, similar to humans, to complete tasks within the game. This demonstrates the potential for AI to engage in collaborative problem-solving and resource allocation.

💡Civil Attacks

Civil Attacks refer to the malicious activities conducted by individuals or groups on online platforms, such as creating fake profiles, spreading misinformation, or engaging in click fraud. These actions can manipulate online systems and disrupt their normal functioning. The video discusses the challenges tech companies face in protecting their platforms from such attacks and the potential for AI to exacerbate these issues.

💡Worldcoin

Worldcoin is a cryptocurrency project that aims to create a unique digital identity for every individual by scanning their iris. The project has faced controversy and bans in some countries due to privacy concerns. In the video, Worldcoin is discussed as an example of a technology that attempts to address the issue of online anonymity and the potential need for unique human verification in the future.

💡Collective Intelligence

Collective Intelligence is the shared knowledge and collective wisdom that emerges from the collaboration and collective efforts of groups of individuals. It is the result of the collective thinking and collaboration of people working together, which can lead to innovative solutions and ideas that may not have been possible through individual efforts alone. In the context of the video, AI systems are seen as benefiting from a similar collective approach, where multiple agents work together to achieve better outcomes.

💡AGI (Artificial General Intelligence)

Artificial General Intelligence (AGI) refers to the hypothetical intelligence of a machine that possesses the ability to understand, learn, and apply knowledge across a wide range of tasks, just as a human being can. AGI is characterized by its ability to perform any intellectual task that a person can do, and it is often seen as the ultimate goal in the field of AI research.

💡AI Safety

AI Safety refers to the research and development of artificial intelligence systems in a way that ensures they are safe for human use and do not pose a threat to people or society. This includes addressing concerns about the potential risks of advanced AI, such as unintended consequences, loss of control, or the misuse of AI technology.

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