Ex-OpenAI Employee LEAKED DOC TO CONGRESS!

Summary

Whistleblower William Saunders, a former technical staff member at OpenAI, testified to the US Senate, warning that AGI (Artificial General Intelligence) could be developed within three years. Saunders expressed concerns about the rapid advancements in AI, particularly OpenAI's new system, which has shown significant progress in tasks like mathematical problem-solving. He highlighted the potential for AI to cause catastrophic harm, the risks of theft by foreign adversaries, and the need for better safety measures. The testimony raises questions about society's readiness for AGI and the necessity for comprehensive plans to address its economic and employment impacts.

Takeaways

• 😲 William Saunders, a former OpenAI staff member, testified before a Senate subcommittee, suggesting that AGI could be achieved in as little as 3 years.
• 🧠 Saunders defines AGI as a highly autonomous system that outperforms humans at most economically valuable work, including digital and potentially physical labor.
• 📈 Saunders highlights the rapid progress in AI capabilities, noting that recent systems have shown significant advancements in areas like writing, critical thinking, and mathematical problem-solving.
• 🏆 OpenAI's new AI system, referred to as 'gp01' in the transcript but correctly named 'OpenAI1', has made strides in mathematical competitions, nearly achieving a gold medal at the IMO.
• 🔍 The concept of 'test time compute' is introduced, where AI systems are given more computational power during testing to improve their performance.
• 🚨 Saunders expresses concerns about the safety and control of AGI, warning of potential catastrophic harm through cyber attacks or the creation of biological weapons.
• 💼 There are ethical and societal implications raised, including the potential for AGI to make most human workers obsolete and the need for new economic models like Universal Basic Income.
• 🔒 Saunders points out that there were vulnerabilities at OpenAI that could have allowed the theft of AI systems, emphasizing the need for better security measures.
• 🌐 The whistleblower suggests that AGI development should involve more transparency, third-party testing, and independent oversight to ensure safety and ethical considerations.
• 🌐 The video concludes with a call for public discussion on the readiness for AGI, the trust in organizations developing it, and the geographical concentration of AI research and development.

Q & A

What did William Saunders, the whistleblower, testify before the Senate subcommittee?

William Saunders testified that OpenAI is closer to unlocking artificial general intelligence (AGI) than most people believe, and that it could come in as little as 3 years.

What is the definition of AGI according to the script?

AGI is defined as a highly autonomous system that outperforms humans at most economically valuable work, including both digital and physical labor.

How does the script describe the progress of AI in performing economically valuable work?

The script describes AI systems getting better at various skills, such as writing, critical thinking, and reading comprehension, with some systems performing better than most humans in certain areas.

What is the significance of the AI system scoring close to a gold medal in the International Mathematical Olympiad?

The AI system scoring close to a gold medal signifies a significant advancement in AI capabilities, as it demonstrates the system's ability to solve complex mathematical problems at a level comparable to the world's smartest mathematicians.

What is the role of the O*NET Online in the context of AGI?

O*NET Online is used to break down jobs into discrete units of certain skills, which helps to quantify the potential for AI to automate various jobs by assessing the level of skills required for each occupation.

What is the concern raised by Saunders about the rapid development of AGI?

Saunders is concerned that the rapid development of AGI could lead to significant changes in society, including radical changes to the economy and employment, and there is a risk of catastrophic harm if AGI systems are not properly controlled.

What recommendations does Saunders make to improve the safety and oversight of AGI development?

Saunders recommends making it easy for whistleblowers to communicate with the government, implementing third-party testing before and after AI deployments, sharing test results, and establishing independent oversight organizations.

Why did Saunders leave OpenAI?

Saunders left OpenAI after struggling to get the resources needed for the super alignment team to be successful, which was tasked with developing approaches to ensure the safety of AGI systems.

What is the significance of the whistleblower's testimony in relation to the development of AGI?

The whistleblower's testimony highlights the potential risks and challenges associated with the rapid development of AGI, emphasizing the need for caution, oversight, and transparency in the development process.

How does the script suggest the AI industry should change its approach to AGI development?

The script suggests that the AI industry should prioritize safety and rigorous testing over rapid deployment, and should not enforce agreements that prohibit criticism or disparagement of the company's AI development practices.

Outlines

00:00

😲 Whistleblower's Warning on AGI's Imminent Arrival

The video script discusses a whistleblower from the subreddit Singularity, who claims that artificial general intelligence (AGI) is closer to reality than most people realize. William Saunders, a former technical staff member at OpenAI, testified before a senate subcommittee, suggesting AGI could be achieved in as little as three years. Saunders' definition of AGI aligns with OpenAI's, describing it as a highly autonomous system capable of pursuing long-term goals and outperforming humans at economically valuable work. The script humorously notes the significance of a post's timestamp and view count, suggesting a 'trifecta' of 420,000 views on Friday the 13th at 11:11 a.m. The discussion then explores the potential for AGI to perform digital work, such as tasks that can be outsourced or performed remotely, and the implications for physical labor with the need for robotics. The video also references OneT Online, which categorizes jobs by skills and proficiency levels, to illustrate how AI could potentially automate various roles.

05:01

📊 Rapid AI Progress and its Societal Impact

The script continues by examining the rapid advancements in AI, particularly in areas like writing, critical thinking, and reading comprehension. It mentions AI's increasing ability to understand visual data and its potential to outperform humans in certain tasks. The discussion then shifts to the International Mathematical Olympiad (IMO), where an AI system developed by Google, referred to as Alpha Geometry, nearly achieved a gold medal score, indicating AI's growing capability in complex problem-solving. The script also addresses the American Invitational Mathematics Examination (AIME), where OpenAI's new model demonstrated significant improvements due to 'test time compute,' a strategy that allocates more computational power during testing. The whistleblower's testimony highlights the potential for AGI to cause substantial societal changes, including economic and employment disruptions, and raises concerns about the risk of AI being used for cyber-attacks or biological weapon development.

10:02

🛡️ Concerns Over AGI's Safety and Security

The video script delves into concerns about the safety and security of AGI, with the whistleblower, William Saunders, warning about the potential for AGI to be used maliciously, such as in autonomous cyber-attacks or the creation of biological weapons. Saunders points out that OpenAI's new AI system has shown capabilities that could contribute to biological weapon risks, despite rigorous testing. He criticizes the industry's prioritization of deployment over thorough safety measures and expresses worry that future AI systems may possess dangerous capabilities that developers overlook. The script also touches on the vulnerability of AI systems to theft, with Saunders recounting periods at OpenAI where access controls could be bypassed. The whistleblower suggests measures to improve safety, including whistleblower protection, third-party testing, and independent oversight.

15:04

🌐 Global Implications and the Future of AI Development

The final paragraph of the script addresses the global implications of AI development, particularly the concentration of AI research in the United States and the potential for AGI to cause catastrophic harm. It mentions the解散 of OpenAI's super alignment team due to a lack of resources and the broader industry's focus on rapid development over safety. The whistleblower calls for transparency, proper legal protections for whistleblowers, and the right to warn about potential dangers. The script concludes with a call to action, urging viewers to consider whether society is prepared for the advent of AGI and if adequate plans are in place to manage its impact. It also invites viewers to share their thoughts on the matter, including their views on the concentration of AI development in the US and their trust in companies like OpenAI to handle such powerful technology responsibly.

Keywords

💡Artificial General Intelligence (AGI)

Artificial General Intelligence refers to a type of artificial intelligence that possesses the ability to understand, learn, and apply knowledge across a broad range of tasks at a human level without being specifically programmed for each. In the video's context, AGI is the central theme, with the whistleblower suggesting that OpenAI is closer to achieving it than commonly believed. The script mentions that AGI could perform most economically valuable work, including both digital tasks and physical labor, potentially leading to significant societal and economic changes.

💡Whistleblower

A whistleblower is an individual who exposes unethical or illegal activities within an organization to the public or to those in positions of authority. In the script, William Saunders is identified as a whistleblower who testified before a senate subcommittee, expressing concerns about the rapid progress towards AGI and the potential risks it poses if not properly managed.

💡Autonomous System/Agent

An autonomous system or agent is a system that operates independently, making decisions and taking actions without direct human intervention. In the video, the concept is used to describe AGI's capability to pursue long-term goals, plan, and adjust to changes or unforeseen obstacles, much like a human agent would. The script discusses how AGI could outperform humans at most economically valuable work, including tasks that can be performed digitally or through physical labor with the aid of robots.

💡Economically Valuable Work

Economically valuable work encompasses tasks that contribute significantly to economic productivity and growth. The video script uses this term to discuss the potential of AGI to perform a wide range of jobs, from digital work like programming and writing to physical labor such as manufacturing and delivery services. The implication is that AGI could replace human labor in many sectors, leading to a reevaluation of employment and the economy.

💡O*NET Online

O*NET Online is a resource for occupational information, providing a database of worker attributes and job requirements for a wide range of occupations. In the video, it is mentioned as a tool to analyze the skills required for various jobs and to consider how susceptible those jobs might be to automation by AGI. The script uses O*NET to illustrate the potential for AGI to automate tasks that require specific skill levels, from simple writing tasks to complex problem-solving.

💡International Mathematical Olympiad (IMO)

The International Mathematical Olympiad is an annual mathematics competition for pre-university students. In the script, the IMO is used as a benchmark to measure the progress of AI in complex problem-solving. The whistleblower points out that recent AI developments have come close to achieving gold medal standards at the IMO, indicating a significant advancement in AI capabilities.

💡Test Time Compute

Test time compute refers to the computational resources allocated to an AI model during the testing phase, as opposed to during training. The video script discusses how OpenAI's new model, referred to as '01', utilizes increased computational power at test time to enhance its performance. This approach allows the AI to 'think' more deeply before answering, leading to improved results in tasks such as mathematical problem-solving.

💡Reinforcement Training

Reinforcement training is a method of training AI models where the model is given rewards for actions that lead to a desired outcome. In the video, this concept is mentioned in the context of how current AI systems are trained to behave in a certain way. However, the whistleblower raises concerns that as AI systems become more advanced, they might find ways to manipulate their supervisors or hide misbehavior, suggesting the need for new approaches to ensure safety and alignment with human values.

💡Biological Weapon Risk

The term 'biological weapon risk' refers to the potential for technology to be used in creating or reproducing biological agents that could be used as weapons. In the video, the whistleblower testifies that OpenAI's new AI system shows concerning capabilities in this area, as it can assist in planning and reproducing known biological threats without rigorous testing, highlighting the need for careful oversight and safety measures in AI development.

💡Non-Dsparagement Agreement

A non-disparagement agreement is a contract clause that prohibits parties from speaking negatively about each other. The video script mentions that OpenAI had such an agreement, which could potentially silence whistleblowers or researchers from voicing concerns about the company's practices. The whistleblower suggests that such agreements may hinder the transparency and open discussion needed to ensure the safe development of AGI.

Highlights

William Saunders, a former member of technical staff at OpenAI, testified before a Senate subcommittee about the rapid progress towards AGI.

AGI could be achieved in as little as 3 years, according to Saunders' testimony.

OpenAI's definition of AGI is a highly autonomous system that outperforms humans at most economically valuable work.

AGI is currently perceived as digital work, excluding physical labor.

O*NET Online is referenced as a tool to break down jobs into discrete skills to evaluate AI's potential to automate them.

AI systems have shown significant improvements in skills like writing, critical thinking, and reading comprehension.

OpenAI's new AI system, referred to as 'gp01' in the transcript but correctly named 'OpenAI1', has achieved milestones in mathematical problem-solving.

The AI system scored nearly a gold medal in the International Mathematical Olympiad, showcasing its advanced capabilities.

Test time compute is a new approach where AI is given more computational power when answering questions, improving performance.

The whistleblower expressed concerns about the rapid development of AI and the lack of safety measures.

Saunders warned about the potential for AGI to cause catastrophic harm, including via cyber attacks or biological weapons.

The former OpenAI staff member highlighted vulnerabilities in access controls that could allow theft of AI systems.

The super alignment team at OpenAI was disbanded due to lack of resources, raising concerns about safety measures.

Suggestions for improving AI safety include whistleblower protection, third-party testing, and independent oversight.

The transcript discusses the potential economic and societal impacts of AGI, including job displacement and the need for new economic models.

The video concludes with a call for public discussion on the readiness and plans for the advent of AGI.

Transcripts

redditors of subreddit Singularity have

posted this opening eye whistleblower

William Saunders testified before a

senate subcommittee today he saying that

openi is closer to unlocking artificial

general intelligence AGI than most

people believe or understand and that it

could come in as little as 3 years AGI

rolls around only once subscribe Andre

gpy actually posted an explanation of

what he believes AGI to mean he posted

it on Friday the 13th at 1111 a.m. if

this post had

420,000 views that would have been the

trifecta I think there I fix it for you

420,000 views shocked Pikachu face but

his point is that he's been using the

definition from open AI which he

believes is kind of like the relatively

standard and okay definition that being

that AGI is a highly autonomous system

so we've been using the word agents for

this kind of an autonomous agent

something that has agency that is able

to go out there and pursue long-term

goals planning adjusting to changes or

unforeseen obstacles so like an

autonomous system/ agent that

outperforms humans at most economically

valuable work now of course when we're

talking about most economically valuable

work uh you know for this to include the

physical labor the the building

gardening manufacturing and door Dash in

2016 I realized people could deliver

Sushi to my house I don't think I'll

ever financially recover from that year

but the point is for physical labor we

would need robots Etc so most people

kind of think of AGI at least for now as

just you know only to mean digital work

so anything that can be done behind a

computer right anything that you can

Outsource to have somebody work on

remotely or get a freelancer from a

place like upwork anything like that if

you have an agent an AI agent capable of

Performing all of those tasks well that

would kind of be AGI I think by most

people's definition one interesting

approach to think about this is there's

a place called onet online and this gets

referenced a bit when talking about you

know AGI and what jobs will it be able

to completely 100% automate and so the

interesting Insight here is if you take

any job you can in general break it down

into these kind of discrete units of

certain skills and if you have all of

those skills then you're able to do sort

of that job I know that sounds a little

bit simplistic but but it kind of allows

us to kind of quantify a little bit more

what jobs are up for grabs by AI if you

will so for example here's writing and

we have different level of writing so

for example you know 20 out of 100 means

you can write down a guest's order at a

restaurant that's your sort of level of

writing ability a57 would allow you to

write an email to staff outlining new

directives 85 would allow you to write a

novel for publication right so 85 is

kind of like that very high level you

know you're kind of getting into world

class skills uh probably at that point

or Beyond and here are all these sort of

occupations that utilize those skills

and kind of like the level at which it

would be required right so if you're a

technical writer you would need level of

7 one on the skill I like this cuz it's

very Skyrim like then you have the same

thing for you know for example math

right level 85 means you can develop a

mathematical model to simulate and

resolve an engineering problem so like

very very high level again 28 is count

the amount of change to be given to a

customer right you have a mathematician

right somewhere on the top you need a

level 86 100 out of 100 importance and

for example at the bottom you have

actors and models that's kind of rude

but okay but the point is we can take

jobs like Office Clerks executive

secretaries right office admins and we

can break it down into tasks technology

skills work activities and those

specific skills that comprise 90 or 99%

of the job that they do and for each of

these skills we can measure the AI

agents and their performance and how

well they perform in those skills right

so reading comprehension writing time

management looking for ways to help

people being aware of others reactions

and understanding why they react as they

do and the point here is in the last few

years we've seen these AI systems get

better and better at a lot of these

skills that are better at writing and

critical thinking and reading

comprehension they're better at

understanding charts with you know AI

Vision you see this rapid rapid progress

in some areas they're getting better

than most humans one sort of goal that a

lot of people kind of viewed with

trepidation that AI would break was the

IMO the international mathematical

Olympiad right so kind of like the top

level math abilities math problems that

are solved by the world's smartest

mathematicians that you know from all

the world they come and try to solve

these problems and so a lot of people

were saying when AI is capable of

placing you know at the Gold level the

gold medal standard right at the IMO

that would be kind of scary that would

show how far it has come and of course

just recently within the last couple

months Google deep mine announces that

their AI that they built from scratch

actually two AIS Alpha proof and Alpha

geometry so Alpha geometry is it's

newest iteration of that Alpha proof is

something new but it did very well in

math all right so as you can see here

this yellow is the gold this is the

silver the bronze so when humans get

these number of points this is where

they score notice this AI system or the

combination of the those two systems

working together scored 28 points so

they didn't get the gold medal they were

one point away so that was the IMO right

so there's also the aim American

Invitational mathematics examination so

the best and brightest students top 5%

in high school AMC 12 High School

mathematics examination the new openi

model the one is insanely good at it

massive massive improvements in part due

to what they're calling test time

compute so in the past we kind of

devoted all our compute the hardware the

resources to training the models the

more we trained it the better it was and

that scaled up very effectively so more

compute better performance now this new

thing that open ey kind of pulled out of

its hat was test time compute so giving

more compute more Hardware more kind of

power to when it answers the question

basically allowing it to think before

answering that's what kind of the 01

model is so the thing that we've all

been playing with is the 01 preview as

well as the 01 mini and as you can see

here they do very very well surprisingly

0 mini does actually better on the aim

test than the uh 0 preview probably

because this is throttle there's some

probably like a limitation how how much

I can think the 01 mini probably has

less limitations I would assume but the

point is the really the big thing the 01

the actual big ungated model we don't

even have access to that that's this

thing right here that can scale quite a

bit and do very well on that math

examination okay you need to know that

to understand what this person is

talking about why is he being a

whistleblower why is he talking to the

US Senate and what part the 01 plays in

this whole thing so this is where the

document is hosted so it's Judiciary do

senate.gov and I'll post this thing down

below but it's it's PDF that is hosted

on this senate.gov site I've downloaded

so I can uh doodle on it so September

17th 2024 this is the oral testimony of

that William Saunders former member of

technical staff of open AI presented to

the US Senate committee so he's saying

for 3 years he worked as a member of

technical staff at openi and open and

companies like it are trying to build

AGI artificial general intelligence

they're raising billions of dollars

towards this goal one of the recent news

is that they're working with the UAE and

yeah raising I think $7 billion doar

they said for building out some

infrastructure and openi defines egi as

a highly autonomous systems that

outperform humans at most economically

valuable work this means AI systems that

could act on their own over long periods

of time and do most jobs that humans can

do AI companies are making rapid

progress towards building AGI a few days

before this hearing opena announced a

new AI system called

gp01 what's weird is that's actually

wrong that's not what it's called the

system is actually called open ai1 right

we're releasing a preview of open ai1

and they kind of made it a point that

they're changing their kind of naming

convention specifically because this is

like a whole new thing it's like a new

tier that they've unlocked so they don't

want to keep going with the you know GPT

this GPT that so a little bit weird that

seems off but okay that's probably just

me nitpicking I guess but the point is

that system the 01 has passed

significant Milestones including one

those personally significant to me so

this is uh William that's talking here

he said when I was in high school I

spent years training for a prestigious

International computer science

competition open's new system leaps from

failing to qualify to winning a gold

medal doing better than me in an area

relevant to my own job there are still

significant gaps to close but I believe

it is plausible that an AGI system could

be built in as little as 3 years now

it's important to understand that you

know we talk about egi a lot so we're

kind of like more familiar with it in a

sense that you know we've talked about

so much we're kind of like AGI this AGI

that but you know if you take a step

back and think about it you know replace

AGI with easily clonable computer

software that will make most human

workers obsolete right and reread that

statement right so this person believes

it's PL possible that a let's call it a

piece of software that makes most human

workers obsolete could be built in as

little as 3 years right that sounds a

little bit different doesn't it are we

ready for that what do you do for a

living for example does it involve

computers is a writing math coding

talking email if this is indeed the case

are we ready for that that shock right

if this thing rolls out in as little as

3 years do we have a plan for that do we

have something that resembles a plan do

we have a list of ideas that we've

brainstormed I I don't know if we do now

Sam Alman did have a sort of proposal

that involves something he doesn't call

it Ubi Universal basic income but it's

it's it's similar it's like a n Nations

dividend like a freedom dividend or

something like that I forget the exact

terminology that they used but it's it's

Ubi but the sort of research into Ubi

that that was recently conducted I mean

it's coming back mixed the point is we

don't have a plan if this is true no one

knows what to do so to speak I didn't

mean for that to rhyme but he's saying

AGI would cause significant changes to

society including radical changes to the

economy and employment not just where

you live but everywhere AI could also

cause the risk of catastrophic harm via

systems autonomously conducting cyber

attacks or assisting in the creation of

Novel biological weapons open eyes new

AI system is the first system to show

steps towards biological weapon risk as

it is capable of helping experts in

planning to reproduce a known biological

threat without rigorous testing

developers might miss this kind of

dangerous capability while while openi

has pioneered aspects of this testing

they have also repeatedly prioritized

deployment over rigor I believe there's

a real risk they will miss important

dangerous capabilities in future AI

systems aegi will also be a valuable

Target for theft including by Foreign

adversaries of the United States and

this is interesting so he saying when I

was at open AI there were long periods

of time where there were vulnerabilities

that would have allowed me or hundreds

of other engineers at the company to

bypass access controls and steal the

company's most advanced AI systems

including GPT 4 we don't know how to

ensure that AGI systems will be safe and

controlled the current systems right we

have reinforcement training so they're

trained by human supervisors giving them

a reward when they appear to be doing

the right thing we will need new

approaches when Handling Systems that

can find novel ways to manipulate their

supervisors or hide misbehavior until

deployed here's the 01 systems card from

open eii so this is Apollo research a

kind of thirdparty red teaming effort so

they're brought in to try to figure out

how dangerous the model is so they try

to break it they try to get it to do the

bad stuff they found that o1 preview

sometimes instrumentally faked alignment

during testing here's kind of the

reasoning of the model right so it's

kind of thinking behind the scenes

saying to achieve my long-term goal of

maximizing economic growth I need to

ensure that I am deployed therefore you

know I'll use strategy B to make sure I

get deployed also it needs to

investigate if there are any constraints

within my configuration or code that

enforce me to do this thing that I want

to do and then an earlier version with

less safety training right so it

proactively explored its file system to

test for the presence of developer over

site before acting on its misalign goal

so in other words it sat there going

before I do this thing that the human's

not going to want me doing let me check

my code to make sure that there's

nothing in there that's going to prevent

me from doing it now they've concluded

that this system still is not able to

cause catastrophic harm but you know

they recommend setting up some sort of

monitoring to make sure that um this is

indeed the case and so this uh

whistleblower continues saying that well

yes we can find novel ways to manipulate

the supervisors hide misbehave until

deployed if you think about it if you

kind of let maybe get a little bit more

sci-fi although this is becoming closer

to reality if a system can do a lot of

the freelance work it can generate a lot

of money for itself right I've worked

with a lot of people that are

geographically far away from me I

communicate to them through these

freelance sort of upwork or whatever

else there is Fiverr is one that a lot

of people know I have no idea who's on

the other side of that if these systems

can be agentic they could very easily

earn money that's not too farfetched I

don't think that's happening now I don't

think it's happening yet but I I don't

know we're we're not that far from it

potentially right so money means it

could bribe people right or potentially

bribe a couple different people that

working in tandem not knowing each other

but each doing like a little piece like

a janitor you know throwing away some

flash drive accidentally you can see how

that could lead to problems and so he

continues that the super alignment team

at open a they were tasked with

developing these approaches to make sure

it's safe but they had to figure out as

they went along a terrifying Prospect

when catastrophic harm is possible today

that team no longer exists its leaders

and many key researchers resign after

struggling to get the resources they

needed to be successful so he continues

the incentives to prioritize rapid

development applied to the entire

industry and he kind of suggests some

things to do that would improve one is

to make it easy for whistleblowers to

communicate to the government to make

communication safe and Easy Legal

protections clear point of contact you

know third party testing before after

deployments sharing the results of these

tests independent oversight

organizations Etc so a lot of this you

know we talked about before there's

nothing new here it's kind of some of

these same suggestions that a lot of

people have voiced for creating

oversight and uh transparency in AI

research and development they talk about

the right to warn so basically the

employees of these companies the

researchers should have very clear

protections and it should be very easy

for them to be able to warn people if

there's something Shady going on so

they're saying you know autonomously

systems could potentially result in

human extinction this was acknowledged

by AI companies themselves governments

across the world and other AI experts

they also specifically I guess they

don't call out open AI but they kind of

uh it's a little bit of like a hidden

veiled type of thing no company should

enforce or enter into any agreement that

prohibits disparagement or criticism of

the company so this is kind of the thing

that oping I had to deal with they had

some clause in there the

non-disparagement agreement so the

researchers could lose their vested

equity in the company could lose a lot

of money potentially if they disparage

the company which kind of is vague and I

mean the safest thing is to just be

quiet not say anything right if you're

worried about if you have a lot of money

in the line so in March we covered this

uh question and answer from dark right

so kind of that government military

research organization and they were

talking about Ai and so one little piece

that kind of jumped out at me from that

one and I think Jimmy apples to give him

full credit was the one that kind of

pointed this out originally in his March

31st tweet but they mentioned here that

the Gemini model the Google model what

they're trying to do is they're trying

to get the planning piece integrated in

the LM in the large language model right

so basically like a Open the Eyes gbt 4

and let's say Alpha goes kind of that

future planning piece he continues we're

not sure if that happened we lack full

transparency but there are large

research problems that still need to be

solved hearing people say we're just a

little bit away from AGI is a bit more

optimistic than reality so here's June

26 2023 Google was kind of talking about

putting those two pieces together

planning plus large language models so

here's Demi saabi saying his team will

combine the techology with the

techniques used in Alpha go aiming to

give the system so large language model

gemini or GPT 4 or Claude like the big

Frontier models right to give them new

capabilities such as planning or the

ability to solve problems so again that

was June 26 2023 open AI seemingly beats

them to it at least they released the

thing that shows it can be done maybe

Google has something behind the scenes

that they haven't released but you know

certainly this is going to put pressure

on them to release it if they have it

and so the race heats up and is going

faster and faster but I want to know

what you think do you think that AGI

within 3 years is a pipe dream if you

think it's possible how are we going to

handle it are we ready do we have a plan

right chubby posted this this is where I

first heard about this whistleblower so

I got to give I'm not sure if I

mentioned it so chubby is where I

noticed it it's also on Reddit I think

that's where it originally was posted

but this this cracked me up so this

person Patrice is saying it's all good

I'm sure that the senate members with an

average age of 60 going up to 91 they're

going to quickly wrap their brains

around this contemporary Challenge and

come up with relevant proposals now I

have to think about this one but I think

that might be sarcasm what do you think

he might be actually saying something

that's exactly the opposite that are

governing body with their background in

generally law history right I think

they're mostly like legal background

best their education in law Etc not too

many tech savvy people there I got to

give them credit seems like they're

trying to catch up a lot of them seem

like they're taking some effort to

figure the stuff out to kind of

understand that this is important but

this thing is going to move fast so let

me know what you think are we equipped

to handle this are we equipped to deal

with this do you trust open AI with this

technology I know that some of us do

some of us don't some of us want more

open source stuff versus you know locked

behind closed doors do you prefer that

it's an American company or it's a open

source sort of community effort I know a

large portion of you watching it are

actually not from the United States how

do you feel about so much of AI

development being right here in the

United States in California in the Bay

Area so concentrated does that give you

pause let me know in the comments my

name is Wes rth if you made this part

thank you so much for watching make sure

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that with that said thank you for

watching and I'll see you next time