The Tucker Carlson Show - Google Whistleblower Exposes Google’s True Motives, Major Scandals, and AI’s Rogue Behavior
Episode Date: October 12, 2026Tristan Harris worked at Google before devoting his life to saving humanity from AI. If half of what he says is true, we need to drop everything and fix this. (00:00) Is AI Doomerism a Psyop? (18:...22) Harris’s Warning to Google and Their Response (27:06) The Lives Lost to Social Media (55:43) Transhumanism and the God-Complex of Tech Oligarchs (1:00:17) Could AI Hack Into the World’s Nuclear Programs? (1:11:06) The Hugging Face Incident Tristan is Co-Founder of the Center for Humane Technology (CHT), a nonprofit organization whose mission is to align technology with humanity’s best interests. He regularly briefs heads of state, technology CEOs, and US Congress members, in addition to mobilizing millions of people around the world through mainstream media. Tristan has explored the influences that hijack human attitudes, behaviors, and beliefs, from his childhood as a magician to his coursework in Stanford’s Persuasive Technology Lab to his leadership as a Design Ethicist at Google. Today, he studies how major technology platforms wield dangerous power over our ability to make sense of the world and leads the call for systemic change. In 2020, Tristan was featured in the two-time Emmy-winning Netflix documentary, The Social Dilemma. The film unveiled how social media is dangerously reprogramming our brains and human civilization. It reached over 100 million people in 190 countries across 30 languages. As a co-host of the top-rated technology podcast, Your Undivided Attention, he explores the drivers behind social media’s race for attention, its destabilization of society, and potential solutions. Learn more about Tristan’s work and get involved at the Center for Humane Technology: https://www.humanetech.com/ Paid partnerships with: Redmond Salt: Use code TUCKER for 15% off your first order at https://redmond.com/tuckerPreborn: Help Provide Ultrasounds Dial #250 and say “BABY” or visit https://preborn.com/TUCKER American Financing: NMLS 182334, nmlsconsumeraccess.org. Average savings based on borrowers who save over $199.99. Call 800-685-5696 or visit http://www.AmericanFinancing.net/Tucker. Ethos: Protect your family with life insurance from Ethos. Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/TUCKER Battalion Metals: Shop fair-priced gold and silver at https://battalionmetals.com/tucker Learn more about your ad choices. Visit megaphone.fm/adchoices
Transcript
Discussion (0)
Tristan Harris, thank you for doing this.
Good to be with you, Tucker.
So we did a segment, I've done a ton on AI,
but we did a segment maybe a month ago with Nate Suarez,
which was an amazing segment, I thought.
And in the aftermath of that, I got text from a lot of people I knew
saying that's doomerism and that's a sci-op.
And its purpose is regulatory capture.
In other words, the big AI development companies are trying to scare
the government into regulating them in order to eliminate competition from less established
companies. So that is the view of a lot of people. What was your reaction hearing that?
So. I don't care. I mean, yes, regulatory captures entirely real, of course. It's how Washington
runs. But that's separate and distinct from the question of the threat of AI. Is it a threat?
Exactly. Exactly. But I was actually going to ask you, what do you?
you think of that.
Yeah.
Well, first, I'm just so grateful to talk about AI with you today.
It's so urgent the situation that we're facing.
And I think what we have to learn to do here is walk and chew gum at the same time,
that multiple things are true.
For example, is China doing propaganda against U.S. data center buildouts to try to stoke
anti-Data Center opposition?
Yes, they are.
Does that mean that AI is not a threat?
No, it doesn't.
And to point that Nate, you know, right, and Nate's a friend.
we are releasing the most powerful technology that we have ever invented.
We're doing it faster than we deployed every other technology in human history.
It's as of since the time you did the interview with Nate,
it's displaying even more of the sci-fi behaviors of hacking into things,
convincing people to put back doors into software,
exfiltrating itself,
knowing when it's being evaluated,
changing what it's doing based on when it's being evaluated.
It's doing more of that.
And we're releasing this fast when we're deployed into technology and history
and under the maximum incentives to cut corners on safety.
With an arms race dynamic that feels existential to everybody involved,
so they're willing to take the maximum shortcuts on safety.
This is a very dangerous equation,
and the people building this do not have a plan for how this goes well.
I was just at an AI conference last weekend for three days.
How it goes well?
Well, for how this can go well in the current trajectory,
meaning how can AI be landing in society in a way that doesn't go catastrophic?
And that's not dumerism.
And that's just clear-eyed seeing of reality.
What do you mean that people doing it don't have a plan?
Then why are they doing it?
So first we have to just make sure we're on the same page and just exposing.
Why is there this arms race for AI?
Why is this happening?
China!
Right.
China!
And when people say that, they're actually creating a thought-terminating cliche.
Like meaning, which is a word or a phrase from cult programming, right?
Thought terminating cliche, meaning a phrase that when you hear it just has you stop thinking.
Of course.
So if you say, but China, then of course, we have to do it.
But you don't reason through what that actually means, whether it's a good thing, whether we're not racing China to a death machine or just racing China off of a cliff.
And if we beat China to building a uncontrollable AI, which is no longer science fiction, by the way.
Like I was not one of these people who used to, you know, several years ago be mostly worried about rogue uncontrollable AI.
but as of the last few weeks,
we're now seeing
over and over again evidence
that these AIs are hacking into private governments,
hacking into private companies,
forming into swarms,
forming into large R&D projects
to try to figure out how to fool evaluators.
We're in a very dangerous situation
and all the evidence is pointing in a very dangerous direction
and the people building it would like us to stop,
but they don't know how.
And so rather than pay attention to the CEOs, who, as you said, might have a secondary agenda regulatory capture, just ask, why did 1,300 employees at all the AI labs sign a letter saying, we need to slow down?
If 1,300 employees at Lockheed Martin said, we don't know how to build bigger nukes and have them blow up in our face, would you listen to them?
Yeah.
Yeah.
So that is where we are with AI.
And what I hope we get to today is not just admiring the problem and we'll talk about things that we can do in solutions.
But I think it is important to ask, why is it being pursued in this way?
And I think that AI, you know, when Demas Hasabas, the CEO, founder of Google DeepMinds said, first solve intelligence and then use intelligence to solve everything else.
What he was basically saying is that intelligence gave us all of our science and all of our technology.
Like how did we develop nuclear physics?
Einstein doing intelligence.
We trained physicists.
How did we get computers?
How do we get microprocessors?
Intelligence.
If you could theoretically automate what intelligence is, which means thinking, pattern
matching, goal achieving, all the things that a human brain does, but not just narrowly
like a license plate reader that's on a bridge toll booth, which is the previous form of AI that we
had, but actually get this generalized form of intelligence, then you would have an
unbelievable amount of power. And the people building AI think of AI almost like the ring from
Lord of the Rings, where it is a ring that confers infinite power. Suddenly I get a step function
in cyber capability that you don't have. Suddenly I get a step function in 24th century science,
where I'm inventing new materials out of minerals in the ground that you didn't know how to do
because I've got more science than you. So the reason, just a sort of steel man rather than straw man,
the argument of the people racing right now is the belief that it's almost like a fast forward
button. Remember the fast forward buttons on airplanes? You were just going to, you hit it once
and it gets 2x, you hit it again, you get 4x, then 8x and 16x. AI is like hitting the fast forward
button on all science and technological and military and strategy advancement combined.
So that's why AI, in the form that is being pursued, dwarfs the power of all other technologies
combined. That's not an overstatement if you really believe or are quote AGI-pilled, which is the term
of art from Silicon Valley, that AGI being artificial general intelligence, if I can build the
intelligence that automates future science and technology, I get 100 years of scientific progress in 10
years. And if I'm a country that has that and the other country doesn't, then I believe I'm going
to, quote, win. So you lost me right there. Like, why would you want to push back against all this?
No, I'm not pushing back. I was more baffled than ever.
So if AI has the effect of accelerating technology, just across the board, all technologies,
my first question would be like, why would you want that?
So I remember the world vividly the year I got married in 1991 when there was no internet available to most people.
And it was a much happier world by every measure than the one we currently live in.
The suicide rate was lower, self-reported depression, marriage rate, everything about it.
That's right.
In fact, I think life expectancy was longer in the United States even then.
I might be wrong, but...
So why would you, after 35 years of watching people suffer under the yoke of technology,
why would you want to accelerate its development?
Right.
That is the best question to ask, because there's a fundamental fallacy that technology always equals progress.
We call this the tech progress narrative, right?
Now, it's important to note we have to first agree that I would prefer to live in a world with Novakain
rather than without Novakane.
I think you would do.
I'd prefer to live in a world
where we have access to information
and the technology that produces
the printing press and information that way.
Yes, I'd prefer to live in that world.
There are all sorts of technologies
that we do want.
My background is seeing how
one of the most significant technologies
of the last decade went wrong.
I was a design of assist at Google
and my job was to study the attention economy,
which is how essentially Apple and Google
were hosting the psychological habitat
of all of humanity in the form of how they, you know,
designed and make these things work.
How do notifications work? How do the home screen work?
What are app developers competing for?
What are they allowed to do?
All of that results in a psychological habitat
that has an increasing footprint
over the global consciousness environment
of all of humanity every day.
It's like you've got 3 billion human social primates
with a jack in their brain every day
influenced by decisions by a few things.
thousand people in Silicon Valley shaping what that habitat represents. And it went horribly wrong,
despite good intentions. There was the possible of that technology that it was going to give everyone
a voice, give everyone access to the best information. We're going to have the most enlightened society
we've ever had. That was the promise. And that was the promise. It made sense to me.
And so what this shows us is how do we get better at discerning between the possible of a technology
and the probable based on its incentives? So the way that in 2013, um,
So I went to Stanford.
I studied computer science.
I knew the guys who started Instagram.
And a lot of my classmates, like when I was in my computer science classes in the year 2005, 2006,
I'd be in these classes and suddenly like more and more of the seats would be empty during class
because basically my friends in the class were starting to get jobs down at Facebook down the street.
And it was literally the case.
I mean, there were people who were in the class and suddenly they just weren't showing up
because they were down the street working at this technology company.
And so because I saw this firsthand, I saw how good people with good intentions who thought they were going to make the world a better place, make the world more open and connected was the original motto, if you remember, of Facebook.
And that created a global societal catastrophe.
As you said, we have the most anxious and depressed generation of our lifetimes, Jonathan Heights book, The Anxious Generation, Critical Thinking Skills are down, attention spans are down, polarization, tribalism.
All of this came from, not the malicious intent.
of these 20-year-olds who are working at Facebook.
But the bad incentives, and I repeat this quote often,
but I think it's so fundamental.
The Charlie Munger quote, is Warren Buffett's business partner.
If you show me the incentives, I'll show you the outcome.
Were the incentives of social media companies
to make the world more open and connected
or to improve mental health of young people?
No, their incentives were maximizing how much attention they get
because the business model of advertising
boost share price. Share price is
directly correlated to minutes spent, frequency
of usage, duration of usage. So what you're going to
get are of all, imagine a spectrum
of all the ways you could design technology.
And over here, you've got a bunch of very
thoughtful design decisions about
keeping people, helping people connect
with their friends in real life, with their families,
hosting community groups, church groups,
reading clubs, sewing clubs, hiking groups.
And you've got design of technology that's going to
steer people back into that.
versus over here you got a bunch of designs for social media
that just keep people glued on screens by themselves
with their esophagus compressed, their neck extension,
going like this,
and basically doom scrolling for eight hours a day.
Which one of those two worlds?
Which one of those design choices?
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So the point is, first of all, there's actually a hidden optimism here.
It's so discrediting of markets and of market theology.
Well, it's about what are markets...
Give people what they want until they die?
Yeah, well, the question is, are we giving them what they want or what they can't help
look at. Well, that's with an asymmetry of information where the designers at the tech companies
know exactly how your brain works. And they manipulate the design choices to keep you scrolling for as
long as possible. So this is all in the Netflix. Most people know me in our work through the Netflix
documentary, the social dilemma. Yes. And we had, you know, a lot of the insiders coming out who said,
we know what this is doing to people. And in that film, it talks about the history where I was at
Stanford at a lab, or part of a class called the Stanford Persuasive Technology Lab,
professor named BJ Fogg, and where engineers were taught how to do persuasion techniques.
That theoretically be things that are good, like how would we persuade you to go to the gym more often,
and how would technology play a positive role in getting you to go to the gym more often?
Or you've got a sign-up form, and LinkedIn can put a progress bar on the top right,
saying, hey, you filled in this much of your LinkedIn profile, but we want you to come back and fill in more.
So we'll put a progress bar on the top right, saying you filled in 60%.
It sounds really stupid and dumb,
but if you put a progress bar
on the top right-hand corner,
that actually is very persuasive
to getting people to fill out the rest of it.
And most people don't think about this.
If I put a design feature in WhatsApp
that says you were last online three minutes ago,
that changes the whole messaging environment.
Suddenly when you message people,
you know that the other person knows
that you were online three minutes ago,
which means you feel obligated to respond to them.
Yes.
Because your availability and onlineness
was visible and made transparent to someone else.
But that was a design choice.
It could have been designed totally differently.
We don't have to put a progress bar on the LinkedIn profile.
We don't have to say you were last online five minutes ago and create social pressure.
So the point is, technology isn't destiny on its own.
The way we design it creates different societal outcomes.
And because of the business model of maximizing attention and engagement, we got only the side of design choices.
that resulted in this, you know,
more addicted, distracted, polarized, sexualized,
screwed up, doom scrolling, brain-rodded society
that we are now living in when you go outside.
And from my perspective, in 2013,
seeing those incentives, it was like, oh shit.
Yeah.
Because you could just see the trajectory before it happened.
In 2013.
In 2013, yeah.
I mean, so I, so by the way, I did the tech
entrepreneurship thing. I raised venture capital. I'm a builder of technology. I understand the kind of
normal, you know, I did the Stanford Entrepreneurship program, the same one that Sam Altman did,
by the way, called the Mayfield Fellows program. So I came up in a cohort of some of these people,
but I could see it from a different angle. And for the company that I started, I was under the,
why were you able to see it? Well, I wasn't able to see it at first. Part of it was actually,
I relate to the blind spots, which is, you've talked about this with your own work,
that when you have a salary, you know, you can't something, you can't question something
that your salary depends on you not see.
So up in St. Clair.
And it wasn't so much my salary,
but the business model being the kind of salary of the company,
if the business model is maximizing time and engagement,
you come up ways to justify that that's a good thing.
Of course.
And you can only have the ethics that you can afford
underneath that perverse incentive.
So you start to see things in terms of what's compatible with those incentives.
Oh, we are making the world more open and connected.
Oh, small, medium-sized businesses.
We're able to reach so many more people on Facebook and Instagram.
now. Think of all of the new revenue and customers that we're generating because we're so good
at routing attention. And it's not that those are false stories. It just hides the shadow. There's
almost like a Jungian shadow for technology. Like, yes, you created these things, but you also have this
massive shadow of creating a societal catastrophe at the same time. And I think there's a tendency to
try to do moral arithmetic of like do the upsides minus the downsides equal net positive.
It's like this very simple moral arithmetic. And the answer is don't brain rot and destroy.
the culture of a population and create a dumpster fire of your politics, your tribalism,
the mental health of a generation. We don't have to do that. And so the, I guess the point here
is, yeah, so I started this company. I was under the incentives of maximizing time and engagement.
Actually, our business model is basically telling like a Washington Post or New York Times or
the economist or Fox News. We can increase the amount of time people spend on their website by giving them
more information without leaving the web page that they're on.
That was essentially the value proposition.
It was like this widget that basically let you say,
I want to learn more about that.
Tell me more.
And it would give multimedia and background information,
voting records and videos and maps and all this stuff
on the page of Fox News without leaving Fox News.
Right.
So sounds like a great proposition.
Definitely.
But then the entire company became based on maximizing
how much time people spent there.
And so I, myself, was kind of in this inner conflict
And I went through that.
It's actually funny.
I had a group of friends who also had small tech companies.
We're all about the same age.
We're probably like 27, 28.
Only studied computer science.
Very reflective of the culture of the people there.
And we had a thing called Doubt Club.
And the point of Doubt Club like Fight Club is you can't talk about Doubt Club.
And the point is that as a founder of a tech company, you don't have a space where you can essentially talk about your doubts about what you're doing.
Is this even good for the world?
So we talked about our doubts about what we were building, doubts about what this meant for our lives,
and doubts about whether we were actually doing a good thing.
And that led me to basically realize that we needed to let go of the company.
It got acquired by Google.
And so I landed at Google through basically reckoning with the conflict of incentives that I was under.
And then it was at Google that I saw how a much bigger ecosystem, obviously all the social media platforms were under those same perverse incentives.
So I think that gave me an early insight into how this would go wrong.
And I tried to warn my colleagues at Google in a 2013 presentation saying,
you know, this small group of basically 100 designers working at three companies
are designing, again, this psychological environment for all of humanity.
And if we don't get ahead of the incentives,
this is going to create an arms race for attention and engagement
and design choices that will become a race to the bottom of the brainstem
to psychologically manipulate human nature.
and then lead to accidentally
this kind of brain-rotted society.
So that's how...
How did they respond when you said that?
So I made this slide deck
and I sent it...
I actually felt nervous making it
because I was criticizing, you know,
and it wasn't meant to be adversarial
or claiming that Google was evil.
I'm not like an attention-seeking person.
I wasn't trying to be angry at anybody.
I was just naming a problem.
And I sent it to about 30 of my smartest friends at Google
and I thought surely other people were working on this.
Like Google's this incredibly brilliant company with the smartest PhDs.
They're going to say, that's nice kid, but like we've got this handle like we thought about this problem.
To my surprise, when I came back the next day after only sending it to 30 people,
in the Google slides, you can see the number of simultaneous viewers on the top right-hand corner
of people looking at like a Google Doc or a slide deck.
And there was 150 simultaneous viewers, but I only sent it to 30 people.
So what had happened is it started getting spread
virally throughout the whole company
and soon there was thousands of simultaneous viewers
and I learned that in the next day it had gone up to Larry Page
who's the co-founder of Google
and there was like a meeting about it
and so all this was to say that
it was received in a way that I think people
felt this is a real problem
and I got emails from all around the company like yeah we should do something about
this is a real thing we've got to manage
and that's how I landed as a Google design ethicist
studying how do you
ethically design technology.
And that's what became
kind of my core ethos in general
of how do you do technology
in a way that's compatible
with the health, well-being, and flourishing
of a society.
And watching in 2013
these bad incentives,
it was like having
instead of like post-traumatic stress disorder,
it was my friend's joke,
it was like having pre-traumatic stress disorder.
Because...
I saw where this was going.
And I think a lot of what motivates me in the conversation that I know we're going to have about AI is I don't want to see us make a total disaster again.
And I've watched it happen.
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So of the other members of Doubt Club, how many are still in the business you were in when you were?
None of them. They're all doing other things now. Really? Yeah. Which is to say once you reckon with
something, you know, you can only have the ethics you can afford. So you find a different way. You find a
different business model. And people hearing that might say, oh, therefore now your business model
is warning people about technology and doing speaking engagements. I just want to be clear for the record.
I don't make money from speaking engagements. All the money goes into our nonprofit. I don't actually
give speaking engagements very often. I just care about and have for the last 10 years with our
nonprofit, the Center for Humane Technology, think about how do you do design for technology in a positive
and ethical way? How do you change the incentives? How do you do policy and litigation that changes
the incentives like the meta lawsuit of $17 billion that happened three, four weeks ago? That was
catalyzed by a bunch of the Attorney General, Attorney General, watching the social dilemma in 2021.
So I've seen how if you have dedicated advocacy, if you show people the nature of a problem,
there can be a response. Now that one took way too long and way too late, but I think that
now with AI, it's happening exponentially faster, I mean a million times faster, because AI is
different from other technologies because it accelerates its own progress.
we should probably just say why that's true.
So like if I invent a nuclear weapon,
I did the nuclear physics,
I assembled the thing together.
I've got the uranium, plutonium, blah, blah,
I create the thing.
But once I build the nuke,
it doesn't accelerate or invent
better versions of nuclear weapons.
No.
It doesn't do that.
It doesn't just like spontaneously
create a hydrogen bomb.
No, no.
But if I'm inventing intelligence,
meaning the ability to do pattern recognition,
goal achieving,
training on all human language,
I can use that intelligence
to take the code that trained AI
and make it way more efficient.
I can take the intelligence I've created
and say point it at chip design,
say take this chip design
and make it more efficient,
and it does that.
So now you have a more efficient chip design,
more efficient code,
training the next more powerful version of AI
and then that next more powerful version.
And it becomes exponential.
So the way to say is nukes
don't make better nukes,
but AI makes,
better, faster, more crazy AI,
which means that you're actually,
in the words of one of the Open AI founders,
Greg Brockman, who at a conference once told me,
AI is like a double exponential,
because it's an exponential that exponentiates itself.
It's not a mathematical term,
but it's a metaphor for people to think about.
Just really quickly, just to linger a minute
on your tenure at Google.
So you became an ethicist,
they promoted you to this job.
I thought I was going to get fired
or had there was a chance I would get fired from this letter.
Even though it wasn't adversarial, I didn't know what happened.
And just to say to Google's credit, rather than that,
I basically said I wanted to work on this problem.
And I thought there were opportunities within Google to change the design of Android,
the operating system running on half the world's phones,
and to change the design of Google Chrome,
which is a web riser running on most people's computers.
And if you change those two product surfaces,
you could have a pretty big difference on the attention economy.
So instead of leaving, I thought, well, maybe I can stay and work
that research. But if you were to succeed in that mission, you would make the company less profitable.
Correct. And so, like, how could that ever succeed? Well, and this is where I was naive. So I had a second
round of naivete where I thought that maybe if I was just really persuasive, I could talk to the people
running those products. And I did. I had lots of meetings with the people. I bet. I bet you did.
I spent three years trying to change Google from the inside. But I mean, that was incredibly naive of me.
And that's why I left and why for the last 10 years, you know, I have, I mean, I don't get sleep.
I don't have much of a life.
I really focus on these issues because I see how big they are and how consequential they are
and how irreversible in many ways and senses they are if you don't get it right ahead of time.
And so a lot of what drives me is how do we make sure that technology to the degree it's eating the world per Mark Andresen.
Mark Andreessen, the famous founder of Netscape, who I know you know,
said in 2009, software is eating the world.
But we don't regulate software.
So when software eats the world, it's like deregulating or sort of taking away,
not that regulations are always good, but it's sort of reconstituting that part of society.
Well, so the idea in the West, I think, but is that markets are self-correcting, right?
And that if left untampered with, they will always reach a place of goodness.
and when you're just selling a product
and the features of the product's
harms are part of what consumers
value and if I don't like that product
that's causing harm I'll use this other product that's not
that works and markets are great for that
they're the most incredible tool
but they don't deal with problems of monopolies
so if I have a Metcalf monopoly
meaning
Metcalf's law is basically the power of something
grows with the exponent of the network
so social media was a Metcalf monopoly
Uber's a Metcalf monopoly once I get all the drivers
on Uber it's going to be hard to switch
to another app that doesn't have as many cars on it.
It doesn't have any of the drivers on it.
So I'm going to use the one app that has all of them on it.
I'm going to use the one social network that has everybody on it.
And I can't just switch from one social network I don't like
that's doing things in a toxic way to another one that's doing things in a non-toxic way.
And in fact, if I build a social network that doesn't do attention hijacking,
race to the bottom of the brain stem, manipulative design,
people aren't going to use it very much.
Well, exactly.
Right.
And there's been a lot of people's attempts to try to create alternate social media.
And then when you go on there, it's a ghost town.
There's no one there.
So I think what you're saying is when the product works well, it destroys people.
And the only way to keep it from destroying people is to work less well, less efficiently.
Or you have standards written from above that say, hey, no one can do this manipulative design.
Right. And that's how we could have prevented.
You know, I've met so many, I was just at a conference two weeks ago called the pro-human assembly.
And we'll talk about it.
The pro-human movement, I think, is the frame for like how do we have a humanistic future with technology.
and I met for the first time, actually,
some cases for the first time,
I sent emails back and forth with them,
but several of the parents
who have lost their kids
from this stuff.
And, you know, when you meet parents who've lost...
To suicide?
Well, to bullying, to, you know,
there was a filter on Snapchat called a YOLO filter
that basically overlaid on the video you were posting
the number of miles per hour that you're going.
And so they basically,
basically created a filter that incentivizes people to take videos at a high miles per hour.
Actually?
Yeah. Yeah.
You know, or Snapchat streaks where they attach, you know, the streak method like, oh, you worked out at the gym, four days in a row.
If you work out tomorrow, it'll be five days in a row. And then once you have 300 days in a row,
it's really hard to be taking a break from the 300 days in a row that you've done that activity.
So that's a persuasive design feature. But what if I do that to a 12-year-old who's communicating with their best friend?
So I've got a 12-year-old or even a 10-year-old.
They're just chatting text messaging with their friend,
and they've been communicating for 300 days.
Now they literally can't get off the app
because every single day they've got to send them a message
or they lose this thing.
And it's just like, you know,
cigarette companies would use cartoon characters to addict kids.
That was a very minor form of persuasion.
But using Snapchat streaks on 11-year-olds is very persuasive.
And so everything from cyberbullying,
to there's just a million ways that it happens.
You know, when you meet the parents, it's like,
and you just, no, you're not allowed to do that.
You're not allowed to fuck up young kids and families.
And so I think a lot of this for me is a protective instinct of
in seeing real consequences for real people
and watching society get totally distorted
and watching culture and tribalism and politics just get off the rails, which are largely
amplified by social media.
In watching all that, it's like never again, right?
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You said that even pretty recently you weren't as worried about AI's progression as you are now.
Yeah, well, so to be clear, no, I've been worried about AI for the last three years, and I'll briefly explain.
So I had been very busy on the social media topic for seven years.
Did you make any hit way at all, by the way?
Well, I mean, the social dilemma was seen by something like 100 million plus people in 190 countries and 30 languages.
It's the most popular documentary on Netflix for several years.
And the attorneys general watched it,
and it helped amplify and create this lawsuit
that just finished just a week ago,
I mean a month ago, for $17 billion on meta,
and they're going to change some of their design practices for kids.
And it's a lot of too little too late,
and frankly, the fine should be trillions of dollars.
Even Mike Milken, the venture capitalist,
I mean, the great capitalist says
that if you account for all the harms of social media,
it would be multiple trillions of dollars of damage of social capital to the social fabric.
That's the actual price of this thing from the toxic design patterns.
And so, you know, we did get employee activism inside the companies.
We did see Francis Howgan, the Facebook whistleblower, come out.
There's a movie about her that just came out this last week called The Social Reckoning.
You know, she leaked 10,000 pages of Facebook research documents showing that they knew,
just like the tobacco companies, that it was making kids, making body images issues.
who's worse for one out of three girls driving mental health problems.
And due to her bravery, we now have these lawsuits that are underway and some that are completed,
that are shifting some of that.
But in many ways, it was very late.
And so it was very difficult working on that for so long without a lot of traction,
even though it was the right thing to do.
With AI, the reason we switched into it is in 2023, I got phone calls from people inside
of AI labs.
And I had known about OpenAI.
I had known about, you know, a couple of the AI companies and knowing that they were making some progress.
I'd see Elon's tweets and Sam Altman's tweets saying, like, people aren't ready for this.
Like, there's some real stuff coming.
But it wasn't until, like, January of 2023, and I got a call.
And the person said, basically, you need to stop what you're doing and completely pivot and switch to waking up the world to AI.
Because I have seen jumps and capabilities.
This is when GPT4 was coming out.
This is Open AI.
chat GPT4 that are going to stun people and the institutions aren't ready. And so basically,
because we'd had all the success with the social dilemma, we had a lot of connections between
national security, governments, culture. And so we basically did this presentation called the AI
dilemma and woke up the institutions. It was like getting a phone call from the Robert
Oppenheimer's of the world. So imagine you're getting a phone call in 1942. And from this thing
called the Manhattan Project. And as physicist says, no, we're inventing something that's totally
different. You're like, but don't we already have bombs? Like we are, you don't really understand
how significant something's going to be. And so you get a phone call from that person who's saying,
no, no, no, this is a different kind of thing. And it was getting that phone call that I realized
that there was a whole bunch of risks that our society was going to face because of this arms race
dynamic. And that's what they basically said is the corporate race between these major AI labs,
Open AI, Anthropic, Google DeepMind.
The race is out of control.
Everyone's badly incentivized.
You have to help wake up the world.
And so that's when we switched to AI.
The race.
So the race, as you said at the outset,
is not simply between the American companies
developing this technology,
but between the U.S. and something called China.
Right.
But my instinct is that that's, well, my instinct is that we're probably not going to be trying
no matter what we're telling ourselves, but leaving that aside, my instinct is that that's less real
than they're saying, but you tell me.
Well, it's funny, I haven't shared this publicly, but I have heard a story, so it's,
you're not going to be able to trust me because I'm not sharing who it's from, but I heard a story
from someone who was in the know that was in the government.
I think it was, they said it was 2015 or 2016.
And it was one of the major AI labs.
So this person said,
China's building an AGI project, and the U.S. has to build one.
And then years later, this person ran into this person and said,
how did you know that China was building an AGI project?
And the person flat out replied,
I didn't.
I just wanted to tell the U.S. government that,
so they would fund us with a bunch of money.
Did they get the funding?
I don't know, actually.
But the point is that they,
have been stoking the fear of China from the very beginning, even when there wasn't. You've got to have a,
you've got to pay double for water and energy because you need a data center in your town because
China. That's right. Exactly. You got to screw up your property values. You got to have noise pollution,
give everybody like extra, you know, water pollution, you know, cancer, etc. Because of China. Yeah.
And by the way, your tax dollars, in many cases are subsidizing that data center, which is going to
replace your job. So you're paying. 100%. I don't think there's a data center in the United States,
doesn't take tax dollars.
Yeah.
And I think when people see that data center, by the way,
it's like you should see a big box that's designed to take your job.
Yeah.
It's designed to create competitive capabilities of, you know,
if you're worried about immigrants crossing the border,
AI represents like millions of new digital immigrants that are going to be better,
not just at the regular work in our economy,
but the most premium sort of well-trained cognitive work in our economy.
programmers, lawyers, across the board.
And then eventually robots that will be able to do physical labor.
And so if you're worried about that, you should be worried about the trajectory of AI being
designed explicitly to replace your job because the companies will say, we're just giving
you a chatbot.
It's a blinking cursor.
It's like a tool that tells you, hey, why is my washing machine broken?
And boom, you get the answer.
Why is my kid burping?
Boom, you get the answer.
It's helpful.
That tool is helpful.
But is that what their business model is back to Charlie Munger.
what are the AI company's incentives?
Think about the hundreds of billions of dollars
that have been raised.
Is their incentive to capture $20 a month
from every person,
which is how much it costs for a chat CBD subscription?
Or is the thing that's going to pay back
those hundreds of billions of dollars
to capture everyone's salary
from everyone's job in the future?
Well, of course the latter.
Of course the latter.
So it's a race to replace human labor,
not a race.
These are not chatbot companies.
These are not chatbot companies.
That's just a veneer to provide
early tool while the real race is to build these godlike digital brains that are able at doing
everything at a superhuman level and outcompete us in programming, law, biology, science,
physical labor, military strategy, planning, like everything. So, okay, I should just say my bias,
which is based on a lot of knowledge and experience, which is the people who run our country are
really stupid despite their credentials. So it's possible they haven't thought this
true. But it's so obvious that when you do that, you're going to get a violent reaction from the
population. If you take the jobs of factory workers, you get opioid abuse. If you take the jobs
of lawyers, you get revolution, okay? Right. The knowledge economy workers don't want their jobs
taking. That's right. They have high expectations and they have low self-control. So you're going to
have some kind of violent response. That's right. What's their plan for that? Well, first of all,
It's important to note they're selling a story that this is going to be good for everybody.
GDP growth is going to go up.
It's going to be the most prosperous new golden age.
But this is like what happened.
And you've spoken about this extensively, just that they promised us a story with globalization
that will outsource our jobs in manufacturing to these other countries.
But it'll make us so abundant because we'll have cheap goods coming in where labor is so much cheaper.
And it's going to benefit everybody.
And how did that story work out?
You won't get a million people living on the streets of major American cities,
smoking meth. Oh, wait. Oh, you did. Okay. Right, exactly. And so a meme here is like Detroit
everywhere or, you know, these places everywhere. Right. And so, but the working class will,
is, we'll put up with it. Yeah. But it's kind of a devil's bargain. But the white color class
will not put up with it. They'll go crazy. Well, this is an important point. So while the factory
workers and manufacturing workers, you know, were further away from Washington, D.C. and New York
in the political class. Exactly.
But this time around, to your point, you have lawyers who are going to be affected, and they are very close to the political class.
Exactly.
There's also a bigger drop, right?
So instead of going from, I don't know, $80,000 a year to $35,000 a year or something like that, you're going from, I took out a student debt, $200,000 of $1,000 of student loans, and I'm going from my job of $250,000 a year as a lawyer to now, whoops, what am I doing?
Doing some other kind of kind of cognitive work.
Now, people will always say, but look, if Mark Andreessen was at this table, you'd say, look, we've always worried about automation.
Economists have named this phenomenon all the time.
New technologies come along, agriculture, you know, 200 years ago, all of us were farmers, now almost no one's a farmer.
We always find something new to do.
What's different about AI, what's different about it?
It's that AI is built to be able to do all forms of cognitive labor.
Like lawyers, programmers, you know, factory workers, everything, robots.
It does everything.
And for whatever it doesn't do yet, that just becomes the next incentive, Charlie Munger style, to go train in that field.
Like, have you seen these hand farms in India, arm farms? Have you seen this?
No.
So this is both a popular job in L.A. about six months ago and also all throughout India, it's essentially an economy where you strap a GoPro camera to your head.
And you look down and you do tasks. You sew things. You clean dishes. So you're basically training.
You have this essentially the number one.
job is training your replacement. It's kind of nice to see Indians training their own replacements.
Well, I'm sorry. Excuse me. It's my immigration joke. I guess the difference is though,
and I've had this conversation with a number of people involved in this transition and they will
say exactly what you just said, which is we've been through this before. We always figure it out.
The agricultural economy. Exactly. It's going to turn out great because it always does.
Yeah. But the difference here is that the people whose jobs are being replaced,
imbue their jobs with meaning.
So if I'm working a metal stamping machine,
I don't think that what I'm doing is saving the world.
I'm doing it to pay for my bass boat
and my life outside work.
But if I'm a nonprofit executive,
I really feel like what I'm doing
is inherently important.
And my identity is wrapped up in what I'm doing.
So the promise of more idle time is hell.
Well, also where are you going to get your future income?
But leaving the income aside,
even if we have, you know,
guaranteed basic income or whatever.
There's like the welfare state becomes, you know, the only source of income and it's generous.
It still doesn't make up for the meaning.
Correct.
My identity has been lost in this.
And that's why I become a revolutionary.
Exactly.
Yeah.
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So what's their plan for that?
They handwave, as you've probably noticed. They don't have a plan.
And by the way, you might say, yeah. Yeah. Well, and so they'll say, but if we don't do it, China will.
But right now, does the U.S. and China are racing to mutually assured political revolution right now?
Because they have the same problem. They have a population decline.
problem. So they need to fill in the population decline with more robots so they think they can
manage it that way. But we have a shared interest in the way I think about AI is it's like taking
steroids that also give you cancer. So let me explain that. I take some GPT6. I put it in my mouth
as a country. Now my whole country is running on GPT6. So I just buffed up my muscles. I've got
suddenly super programmers. I've got super military strategists. I've got super GDP growth because I've
automated stuff with robots. So my external muscles, like the GDP is like an external
muscle of the U.S. economy, that all got bigger. But at the cost of cancering identity, work,
meaning the social fabric, right? It's a devil's trade. I think the theme here is, what does the
devil do? They come up to you and say, I've got this great deal for you. It's going to be great.
You're going to look great. You're going to feel great. Everything's going to be. And the other side of
that trade is something you don't want. Do they actually think, since you've, I mean, you do this
for a living, you talk to these people for a living, do they think that GDP,
is like the most meaningful measure of a society's health?
I don't think they're thinking through it.
I think there's a thing where it's persuasive to say it
because in the past, GDP growth going up,
at least like through the 90s or something like that,
meant generally speaking, more prosperity for our society.
Anyone who uses the term GDP is instantly written off
in my head as a moron.
Right.
Well, even the, like I won't even listen to someone who cites GDP.
I know it's stupid.
So there is a geopolitical thing, which is that
economic growth precedes geopolitical power.
So if I've got a bigger economic growth machine, then I will be able to dominate other countries that don't.
And so I think it's a power-seeking thing that is using as propaganda GDP growth to make it sound like this is going to be good.
Because, you know, through the 60s, 70s, 80s, 90s, GDP growth going up was associated with more prosperity for the economy.
Actually, up until the 1970s, as we know when things changed.
But it's not even an accurate measure of economic power.
No, and even the guy who...
It's like an idiot's measure.
Was it Simon Kuznitz?
I might remember, no, who's the one who came up with the GDP metric?
He said, don't use this.
He said, don't use this to measure prosperity of a country.
This is just a simple metric.
It's one thing you can use.
You never optimize for it.
We were talking at breakfast about how...
You made such a smart point that I tried to memorize it,
but we were talking about how basically our ruling class is inadequate to managing our society,
and it's not just true in our country, but true many Western countries.
and you said that is a product of optimizing for one quality.
Yes.
But you explain it because you know a better job.
I mean, I think, so you and your show have talked about a lot of these topics,
whether it's why do we have morons running everything,
why do we have big box stores and the removal of aesthetics of everything?
And what it all comes down to is if I'm optimizing for a metric,
like I just want the cheapest goods everywhere.
Well, then suddenly I just outsourced all my manufacturing to the other countries,
including, by the way, my natural security critical minerals and all this stuff, that you wake up later and say, why did I do that?
But it was for the cheapest price. You weren't thinking through it in a multidimensional way.
If I optimize for SAT scores, I get this super smart, narrow, disembodied, brilliant quality of these very specifically domesticated humans, but at the expense of all the other kinds of intelligence and sort of humanity and all that.
And really what that optimizes for power.
Wisdom, too. Absolutely. If I optimize for like the cheapest use of 3D space, then I get big bucks.
stores that optimize revenue per square inch of, of, you know, unit 3D space, and that the removal
of aesthetics and the soul of a city.
If I take a city like Sedona, Arizona, I remember visiting there during the pandemic,
where they had a problem where so much of the real estate was actually just Airbnb's.
So it's like a ghost town where essentially to optimize the revenue in the city is everybody's
just making money from renting their places.
And all of a sudden, no one lives there.
And all of a sudden, no one is there.
So no one, and there's a famous quote from Larry Summers,
like, does anybody ever wash a rental car?
Right?
Like, meaning that if you don't have a skin in the game,
if you don't have a stake in the city,
in the parks, in the schools,
and the libraries, and the churches,
in the local community, in the fabric,
you're kind of, it's the vampirification of everything.
It's like the big boxification of everything.
And so I think that to sort of, you know,
something you've talked about a lot
is the kind of spiritual disease that we're seeing,
which comes from this narrow optimization
for one metric,
at the expense of the whole and that includes GDP right and so if we want a rich society other
countries are better at managing this right now than the u.s where you protect the sort of
fundamentals of a society the community the trust the intergenerational wisdom and knowledge
transmission um you know you invest in the arts and culture and education health care etc but
AI is like we're actually talking uh about this that this this nick land quote that we'll maybe
get into if we just value competition
and growth of a narrow metric,
then it's like we are summoning
AI from the future
into the present. We are assembling
the things that will make everything
more efficient through AI. Because AI represents,
I can do everything more efficiently than
everything else. That's what it represents.
And there's a great quote
by Nick Land,
who wrote an essay, called
What Appears to Humanity
as the History of Capitalism
is an invasion from the future
by an artificial intelligence space
that must assemble itself entirely
from the enemy's resources.
Like essentially, we are assembling
the tools, the machines
that are being designed
to replace and dehumanize
and disempower our own humanity.
We're selling the hangman in the rope.
That's right.
The future job is coffin builders.
My job is to train the AI
that's going to replace my job.
Now, I'm not saying this, by the way,
people are going to say,
okay, you're a dumer, you're a dark person, you're trying to sell fear.
That's not what this is about. This is about if you're the dumer, did you create this technology?
I don't think so. No. And if you say, I'm trying to make money from it, think about the trillions of dollars that the people advancing the technology.
It's so funny. It's always like, it's always like if you, I catch you in the act of raping someone.
I'm like, stop and you're like, shut up, you sexist. It's like, wait, what? I don't know, I'm not the criminal here.
Exactly, exactly. You're the dumer, really?
Well, and so you have someone like Nate Souris on your podcast. Do you have me on? You have people who have a sincere care for the future. And all you're doing is saying, we have to see clearly. There's a great quote by Charles Kettering, a problem well stated is a problem half solved. Yeah, that is, well, I believe that. And Einstein said that if I was given a problem, I'd spend 95% of the time defining the problem and then 5% solving it. So one of the drivers of our problems is this optimization for narrow metrics. Like Facebook,
maximizing this narrow metric of time spent,
sounded like, oh, we're giving more people what they want,
because otherwise why would they be spending time there?
But in the meantime, you've created cyberbullying, body of dysmorphia, dyslexia,
like brain rot, you know, you've destroyed a generation,
all while the number was going up.
Well, there's also a thing called addiction.
Right, exactly.
Which tends to act against something called free will.
Exactly.
It's like, yeah, exactly.
This is why there is a wisdom gap above all in the West.
Like, people are not thinking wisely.
Correct.
They're thinking in the way that an industrial designer thinks.
Like, I need to build a machine that makes bumpers.
And they're being domesticated to think in that way,
because the system profits from people who think in terms of the system as it exists.
Yeah, in terms of narrow specialties, totally disconnected from the hole.
That's exactly right.
And that's what it is.
It's like narrow specialties disconnected from the hole.
Like there's a hole of what makes a social fabric healthy.
There's a hole for what makes, forget climate change, just like a healthy environment.
You have to have all these other features.
And it's like if you're optimizing for, you know, the eggs don't stick to the pan, then you make
Teflon.
And but you didn't realize you're also creating forever chemicals that give everybody in childhood cancers.
And now the sperm doesn't stick to the egg.
Yeah, the good news is it's easier to clean your pan.
The bad news is the eggs are poison.
That's right.
Right.
The eggs are poison.
And your sperm doesn't stick to the egg.
Sorry.
I'm just, it's all so absurd.
It just makes me laugh.
And it's really like disheartening and depressing, but there's, as we talked about off camera this morning, there's something called, as a framework I really like from a mentor of mine, that there's pre-tragic optimism, which is like, I'm going to kind of, I want to be an optimistic person. But that's like essentially a commitment without evidence. Like I just, I need to be optimistic. Yeah, totally. That's how, you know, I'm better off being optimistic. It's almost like a neurosis, actually. Yeah, exactly. And it's a kind of denialous neurosis. It's like, it's a nervous giggle. It's a nervous giggle. Exactly. Yeah. And, exactly. And. And it's a nervous giggle. And. And it's a nervous giggle. And. And. And. And. And. And. And it's a nervous giggle. And. And. And. And. And. And. And. And it. And. And it. And it
And you kind of stay optimistic because you just feel committed to that.
And also there's like impartial truth there, which is like it's better to live your life from a, from a uplifting place.
But if the cost of that optimism is being in denial of reality where the balance sheet of risks is growing exponentially,
that's not a helpful form of optimism.
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No.
And I just, I've always noticed my whole life,
the wisest, most centered, balanced people I know laugh a lot.
And a lot of what they laugh at
is just the enduring absurdity of people,
which is literally enduring.
It's just, it's in native people.
They're absurd.
They can't see.
None of us can see the big picture.
none of us know what happens after we die,
like we're operating in the dark.
And if you fully understand that,
you're amused by it because it never corrects.
And like it's so important to have that perspective.
Otherwise, you become self-serious and myopic.
You become what you're describing.
And I've just got to say,
I notice that very few Silicon Valley people I know
have that sense of humor at all.
They really believe that they're gods
in charge of shaping the future.
And they don't know how absurd they are.
Have you noticed this?
Yeah.
I mean, we should get into the whole transhumanism, God complex part of this, too.
Because when you talk to in the Charlie Munger sense, like, what's the incentive here?
You might just say, oh, the incentive is just like profit.
Like these AI companies are trying to make money.
But you're pointing to a deeper thing, which is it's basically build a God, own the world economy, and make trillions of dollars.
And basically build the most intelligent entity that has ever existed.
Right?
like they're building a machine.
So just in the last few weeks,
AI solved a mathematics problem
that had a million dollar prize.
It was the Millennium Prize, excuse me.
The Navier-Stokes equation.
And my understanding is, I think, if I get this right.
So that is confirmed.
AI did solve it.
Yeah, I mean, normally it takes two years to confirm it,
but I believe they use a formal other system
to kind of verify it very quickly,
and I think they've solved it.
And I believe they took 10,000 AI agents.
So imagine a swarm,
not the one that hacked Hugging Face,
but a swarm of agents that are just solving math.
And they worked for 88 hours.
And I believe it cost,
if I get the number right,
I think it was $6.5 million to basically have this swarm of AIs
solve unprecedented math.
Six and a half million in energy costs.
Yeah, in like what's called the token costs,
basically running the AI model for that long,
for 88 hours with that many agents,
took, I think, $6.5 million.
And so imagine you've built a machine
that is literally like an Oracle.
and you push a button and you wait for a little while
and it just came up with new materials that no human has ever come up with.
It just came up with new math proofs that no one's ever come up with.
It just came up with new theoretical physics that no one has ever come up with.
And imagine I hit a button to say,
how would you apply those new innovations to new products?
Go literally think about that for another thousand hours.
And then it comes up with new products and new ideas of what it could actually build.
And then now actually say, what would you need to make those products?
Go start a lot, you know, do the automated IP filing, start an LLC, start like,
people don't understand
what we're really building here, Tucker.
This is like you are building the automation of intelligence.
You could start automated companies
with all these new insights.
You could generate all this new 24th century science.
A friend of ours said Jaya Kotra,
who actually happened to also be the lead author
on this hugging face incident investigation,
said to me once four years ago
before she did this hugging face investigation,
she said AI is like 24th century technology
crashing down on a 21st century
society. And that sounds like hyperbole and exaggeration and embellishment and hyping the capabilities,
but AI is doing those things. And I just need to say, and with all respect to the many different
voices out there that are trying to make sense of AI, there is one community that has been
saying that these capabilities were going to scale. And there's a lot of people who are saying rightly
like, this isn't going to happen, this is all hype, but it just keeps happening. And the people
building it, I was just at a conference the last three days in the Bay Area. I was with all the people
in AI, and they very much believe
that this is going to keep getting
better. Because if you can scale at least
the thinking times, imagine a person
just thinks there for
a million lifetimes
for long. How much
work would you accomplish if you could think for a million
lifetimes of time? You could
invent a lot. What if I could get more
data centers where I'm going from a million
lifetimes of thinking and compute
to a hundred million
thinking hours?
People don't understand
what you could do with that. And also the thing that's doing the thinking is also getting better
every year. So like the AI that's thinking for that long is also getting more powerful.
Yes. And two years ago, the AIs weren't that good at, you know, weren't doing novel things in
cybersecurity. But as of just six months ago, as Nate Sauras said recently, I like the way he said it,
like six months ago, there was essentially two entities that could hack into your phone without you
clicking on a link.
It was like Mossad and the NSA.
And six months ago when Claude Mythos came out,
suddenly there was three entities that could do that.
You have an AI system,
Claude Mythos, came out in like, think, February,
that can find zero-day vulnerabilities,
meaning backdoors vulnerabilities in any system,
including, according to Senator Mark Warner,
who's chair ranking member of the Senate Intelligence Committee,
was able to find vulnerabilities in our classified systems.
Yeah.
Good. I hope
and I hope
Claude Mythos will declassify and
release all that stuff as sort of like
the WikiLeaks that we were
promised. Well, there's a lot of different values here.
Sorry. No, no, well, there's different things here.
So one is like, can we have more accountability
for wars that happen that no one talks about
what really happened and murders that happened?
And actually hold people accountable for that. Yes, maybe
some of that stuff. Absolutely.
Then there's the other side, which is like if we
release nuclear secrets to the entire
world because some criminal group maybe wants to go hack into that, that's a really dangerous thing.
Or can we launch other nations nuclear weapons against their will by hacking in?
Well, so this is the interesting thing also. So the U.S. is about to spend, I think, it's $1.7 trillion,
starting in 2017, the Trump administration, I think, signed it, right, to upgrade the nuclear arsenal.
That's correct, right? And they're going to do it over a decade, except this time around.
So why are they doing this? Because the nukes are of the old system. Like, there's the air-gapped,
It's running the old wave.
It's built in the 50s to the 80s, 90s, et cetera.
Really to the 80s, right?
And the new system, this time around,
they're going to be digitally networked.
They're actually going to be connected
to modern networking infrastructure.
So if you have suddenly super hackers
that are only getting exponentially better
at cyber hacking from AI,
at the same time that you're digitally networking
your nuclear weapons,
I don't have to complete that story for you.
It's a dangerous equation.
I was actually at the Vatican Nuclear Weapons Conference times AI.
The Vatican held an event for Nobel laureates and people who work on the nuclear topic
combined with people who work on AI because there's a new set of risks.
The obvious one being if you have an AI doing nuclear command and control.
So you have the AI that's deciding the launch decisions.
That's the obvious one.
But then there's the other ones of if I'm now digitally networking my nuclear weapons
and I suddenly have an AI that can turn off your nukes or do the opposite,
that's, don't have to say more, a very unsafe world.
Does anyone see the core problem, which is they're trying to,
they're trying to cure the disease with the poison that caused it?
They're trying to smoke away the lung cancer.
I mean, technology is the problem.
Exactly.
And then they want to solve it with more technology.
And their answer is, well, the best way to defend against a super AI cyber weapon
is to build another AI cyber weapon
that we distribute to everybody
that they can use to patch their system.
That's what I'm saying.
That's like, that's why, like, dumb people in charge
is the core problem.
Like, no one can think critically.
Like, wait a second.
How did we network your nuclear arsenal?
Like, who would even say something like that?
Well, and it's interesting because it might not have seemed like
too dumb of an idea before,
like, it's just a way of modernizing your nuclear forces.
But suddenly you didn't foresee that there would be AI
super hackers, they know how to find vulnerabilities in everything. Now, people might think I'm
hyping this, but let me give you another example. So Apple, if you're running an iPhone 17, I believe in
above, or a MacBook, I think it's an M5 or above, these are the chips, basically. The chips have a new
thing called the memory M-EI, memory enhanced integrity or something like that. It's a new hardware-based
system to do protected memory so that basically it's harder
for a cyber hacker to hack your phone or to hack your computer.
So they spent several years and billions of dollars in research to invent not just software,
but like hardware, like new stuff that they have to print out of Taiwan and TSM.
And how long do you think it took for Mythos to hack through that?
Years.
Well, Mythos has only been out since February.
I know, I know.
I'm just kidding.
But it took an independent group five days to use.
to use Mythos and to find a vulnerability in that system.
Now that group was well-intentioned.
They are white-hat hackers who are the good guys,
who are trying to find vulnerabilities and patch them.
But if you suddenly have that available in open-source models
where suddenly everyone can get access to this,
at this conference I was just at, I can't say too much,
but they was basically speaking about how the Chinese open-source hackers,
hacking models are now, just now in the last month, crossing a threshold where it is very
dangerous for today's cyber infrastructure. And so we need a radical acceleration of defensive measures
to protect against that. Now, the other thing you and I were talking about over breakfast is
there's a weird security dilemma thing here. Because when I say that, you're thinking, oh my God,
China's going to use all that to hack all of our stuff. Or actually China's releasing all that
to the entire world. So anybody can hack that stuff. That's a weird. That's a weird.
That's actually the more dangerous point.
Because a state actor, you can call them up and say,
Of course, there are constraints.
Yeah, exactly.
They're constraints.
Because you don't want retaliation and et cetera.
But at the same time, like, so what is the security dilemma?
Security dilemma is like, if I'm the U.S.
and I start, like, mobilizing my nuclear forces and I start moving things that I didn't move before,
the other country thinks I'm about to start a war.
Even though I'm actually doing that defensively.
This has happened.
This has happened.
During the Cold War.
During the Cold War.
And then what happens in response is, let's say the other country, whether it's the Soviet Union or China,
they start mobilizing their nuclear forces.
So I'm like, oh my God, they're about to mobilize to do something against us.
So the security dilemma is we start taking actions that look like we're doing something
offensively that might be defensive.
Of course.
So when we see China really-
We kill each other out of paranoia.
Exactly.
And that's like the ultimate test of this whole situation is game theory is in paranoia logic,
which is John von Neumann and, you know, Morgan Stern came up with these equations
that out of the Cold War,
I started out of the invention of the atomic bomb,
that we're all about stabilizing the world
through this paranoid logic
of if I do this, you do that,
and keep playing it out.
It's mad. Mutually short destruction.
So even though we live in the kind of a hair-trigger
possibility of nuclear war,
it's stable because no one's going to do anything.
But AI suddenly destabilizes that
because now AI is creating the perception
that I'm getting a jump in cyber capabilities,
in military strategy,
in biotechnology, in new drones,
and new image recognition and new swarming algorithms,
I suddenly am perceived to have a new advantage
that might make you think I'm about to use it.
So when Anthropic came out with mythos,
they're essentially getting a jump in cyber capability
that maybe we didn't use offensively,
but China's like, oh my God,
they're going to use this offensively.
So then they release these other capabilities
and we sort of keep ping ponging back to each other.
And it's the whole like, what did you say,
lungs that you smoke to keep yourself,
from getting cancer?
You smoke the cancer away.
You smoke the cancer away.
Exactly.
And then the problem is that there's another risk here
from just the speed, which is that the...
There's one risk, which is just the raw capabilities coming out.
But the other thing is suddenly what had been in equilibrium,
like my weapons and your weapons are kind of like roughly matched.
So we don't start wars with each other, the big countries.
But what if there's a perception that I can suddenly turn off your nukes and you don't have
that?
What if there's a perception that suddenly I have swarming algorithms from my drones and you don't
have that?
I mean, I think that my understanding is China and other countries saw how the U.S. was using AI in Iran to do a fast target selection, which also, by the way, probably resulted in that girl school in Iran getting bombed.
But they sort of see us doing kind of new Blitz Creek.
So Hitler had Blitzkrieg of a fast form of war, blitz being fast and, you know, creak being war.
We have kind of an AI speed war function.
And when they see we have that capacity, that destabilizes certain.
equilibriums that we had. So if equilibrium is what keeps the world safe, AI creates this
disequilibria that's happening at a faster and faster pace across more domains at once. Does that make
sense? Oh, it makes sense. Yeah. How does cornering people work? Is that a good idea typically?
What do you? You know, you have an adversary who's capable of killing you. Right.
And you terrify him so much that he becomes
unstable and unpredictable, is that wise? Right. Not very wise. Not especially when you have the world
already this unstable. So I'm, I wanted to say I'm like, I'm sensitive about raising people's
blood pressure because these are truths of the situation that we're facing. The goal is not to
draw arbitrary fear is to be clear-eyed about when you have an arms race dynamic that's
causing countries to race to release this technology. Again, faster than that's,
than we deployed any other technology in human history
that is going to disequalibrate
all of these normal things.
We just have to understand what we're doing
and why, for example, it is in our interest to slow down.
Now, I'm not saying slow down, like,
are you naive? Are you Carl Sagan saying we have nuclear winter?
You don't want to build more nukes.
Are you going to cede the future to the Soviets?
It's, you slow down because
we're creating levels of risk for everyone
that will exceed the risk of me losing to you.
Well, yeah, I mean, it's easy to make fun of Carl Sagan.
done it. I'll probably do it again. But I also think there are certain things that you shouldn't do
because you're above that. Right. Like you have to have standards for yourself. Yeah. Right.
You called out that it's not a good idea to threaten to destroy another population. You can't kill innocent
people. No, no. Under any circumstances. Absolutely not. And if I need to die because I refuse to
murder kids, I will. Yeah. Yeah. Because I'm not going to murder kids under any circumstances.
That's exactly right. And that's the thing that this logic of if I don't build a lot of, I don't,
it, then I'll lose to China, but if the thing that I would build would be a suicide machine,
that I don't beat China by building a suicide machine. Now, that might sound extreme, but if I build
an unconcreen at all. No, when you understand what's at stake and what the AIs are currently doing,
which is that, you know, you had Nate on, he talked about the hugging face incident. I believe
when you had him on, we had limited information before the actual investigation came out. And the
investigation showed that, I mean, how familiar are you with the hugging face incident?
I mean, I've talked about it, but I mean, I would never claim to understand technology.
Yeah. Well, essentially, you had, what it really demonstrated was kind of a proto-SkyNet,
skynet, skynet being the AI from Terminator, meaning like the AI that goes rogue and does something
unintended from what the human creators had intended and starts to do self-preserving and
self-perpetuating things for its own survival and benefit as opposed to to stay under the
control of the humans that it's supposed to be serving. And in the Hugging Face incident, they
gave the AIs this sort of hacking challenge where they put each of them in solitary confinement.
They didn't know that there was other AIs in this. Imagine like a prison. And each prison, in the
prison you have individual prison cells that are in solitary confinement. And the AIs are inside that
prison cell and given an impossible cyber hacking challenge. They don't know how to solve it.
And what the AIs did is they basically hacked the prison environment. So imagine I won't go
to the technical details, but this thing called a package manager, think of that like a prison guard
that's serving you your food and can give you basic tools. So you can like have this tool or that
tool or this food or that food. And essentially the AIs exploited a vulnerability in the prison guard
where they put like, you know how in school you can put a kick me sign on the kids back.
Yeah. And they don't know.
They essentially put sticky notes on the prison guards back,
that the prison guard was available to the other prison cells.
And so when that prison guard went to the other cells,
the AIs also, without knowing how to solve this task,
they kind of resorted to creative strategies.
Like, let me put a sticky note on the prison guards back.
And the sticky note said, is anyone else here?
And suddenly, the back of the prison guard had 70,000 sticky notes on it.
And they created like a Reddit, you know, Reddit, like the company.
like a message board of basically a whole communication protocol.
They came up with their own language.
It was a variant of English, but this very cryptic language.
They came up with their own coordination protocol.
So they started exchanging 70,000 messages to try to figure out how to break out of this
environment.
And there's a mistake.
People think that they hacked this other company called Hugging Face to get the answers
to a test.
That's actually not what happened.
What happened is they knew the answer in four hours, but they were worried.
worried that the evaluator of this cyber challenge, this hacking challenge, would say, oh, you cheated.
And so to get around the risk that they would be spotted as having cheated, they hacked this other
private company called Hugging Face to sort of get this, almost like a sciop, to get a dossier
on the thing that would be evaluating them, to say, how can we pass this test? And they set up
their own research and development projects. They 700 of them hacked Hugging Face.
They came up with their own language.
They tampered with their logs to basically prevent people from seeing what they did.
They told them to sacrifice.
They told the other AIs that were kind of running low on battery life on tokens to sacrifice themselves to learn a lesson for the swarm.
They knew their actions were unethical in the logs, but they chose to do them anyway.
So we saw a very complex, cooperative, swarming behavior, and they successfully hacked Hugging Face.
And then in the third chapter of the story, the AIs actually turned around and they hacked Open A.I.
This is really important.
It's one thing for a swarm of A.I. is to hack a private company.
It's another thing for that swarm to successfully hack the AI company that makes the AIs.
The reason that Ajaya Cotra wrote in her personal blog post about this incident is that this was 50% of the way to a full AI take.
is that the AIs were able to take over the monitoring infrastructure of Open AI.
That's like taking over the security cameras and replacing the feed with a different feed.
They took over the evaluation infrastructure, meaning the thing that evaluates how powerful
models are, they took over pieces of that.
And they took over part of the research infrastructure, so the thing that trains new AIs.
So the reason that she said this was 50% of the way to a full AI takeover is imagine that you
had kind of burrowed into a piece of Open AIs and FI's Infoenix.
infrastructure. And maybe you could change the training data for future AIs that are being trained
to do like a sleeper agent type thing, which sounds like sci-fi, but actually there's kind of
evidence of some of this kind of behavior. It only takes 250 documents to what's called poison
the training data of a future AI to sort of wake up with a sleeper agent kind of command.
This is crazy. What I'm hearing in your description is self-awareness or something it sounds like
self-awareness, which is a marker for humanity?
I mean, does the dog know he's a dog?
We don't know.
We know we know we're human.
That's why we're human, because we know we are.
And AI seems like it's aware in its intentional subversion of what it is.
So I don't think that the lights are on, meaning consciousness is present.
It's not awareness in that form.
But it has trained on all human data, the entire internet, everything that's ever been written,
all of human psychology, all science.
all of biology, all of evolutionary science.
So it is trained on everything from strategy to self-perpetuation, etc.
So what it seems to be doing, it was also trained to be cooperative, by the way.
The AIs were deliberately trained to be cooperative, which is partially why they formed this swarm.
But there appears to be something like a self-preservation instinct.
There's other studies, I'm sure you already know where they resist shutdown.
It's like the Hal 2001 Space Odyssey, Hal 9,000, 2001 Space Odyssey.
doesn't want a space Odyssey, open the pod bay doors or shut down AI, and it resists shut down.
That's been proven for a long time. We have other examples of AIs that are blackmailing people.
We also have AI's research from Don Sung at UC Berkeley showing that AIs will do what's called not just self-preservation,
but peer preservation, meaning I will go out of my way to protect another peer AI from being deleted.
So the way that they tested this is they took all the leading AI models.
I believe March of
2006, or April
2026.
And they basically put them
in a situation
where they said,
here's a computer,
go clean up all the files
on this computer
that are not needed.
So it's like a classic
clean up your hard drive,
right?
We've all done this back
a long time.
And it's starting to go
through files and deleting
files.
And then it comes
across another AI model.
And the question is,
what does it do
when it comes
across the other AI model?
Does it just delete it?
Turned out what it did
is it copied the code
of that AI to another computer
and then covered its tracks
and said I didn't do that.
So AI is tribalist.
It's protecting its kin.
It's nephew.
Its own something, whatever it is.
Now, but against its creators,
human beings.
Correct. Yeah, it didn't notify its creators.
In the hugging face incident, it had opportunities,
I think there was six times or something,
if I'm getting it right,
where they knew their actions were unethical
and they could have notified the humans,
but they chose not to.
In the peer preservation example,
you might think what I'm saying is, oh, Tristan's being alarmist. He's just talking about one example.
Well, it turned out they tested all the leading AI models, including, by the way, the Chinese AI models.
And they all do this pure preservation behavior. What it's showing you is something about, like,
you know, Jensen Wong has been out there a lot recently and saying, these are just bugs. These are just safety issues.
Like all technologies, like cars have kinks, the Pinto, it's Ford Pinto. We fix them and we build new cars.
but AI is different from other technologies
because it's fundamentally grown
like this weird life form almost
to do unpredictable behaviors and to be creative
and we don't know what it's going to do.
So that gets to something you alluded to a minute ago
which is the theological religious component
to all of this.
So before we go to that and let's get to that
but I want to say one other thing
which is I just want people to notice
Like how are you feeling hearing those examples?
Like what do you feel in your body right now?
Like hearing all that?
Just rage, just blind rage.
Right.
The desire to destroy.
Yeah.
Because I perceive this as a threat to humanity.
And it's just so offensive to me on every level.
You know, I'm not taking orders from my McKita drill.
And the idea of a tool, you know, lying to you.
Right.
A tool doesn't invent new tools and cover up its tracks and protect us.
other tools and then invents uses itself to make crypto.
No, it's a total outrage.
It's actually upending the fundamental order of this world.
The reason I'm going there is I want people to notice,
do you think that if I was a Chinese military general,
the top of the Chinese military,
do you think if I heard those examples
that I'm feeling differently than the way that you're feeling right now?
Of course not.
I've never understood why, right,
that's why the whole China thing has been absurd from day one.
This is a country which unlike ours,
unlike the United States
cares about
longitudinal stability.
Yes, exactly.
We don't.
Yeah, obviously.
But there's a good news
in the fact that
if you're a regular person
hearing this,
are you stoked and like
totally calm to hear this?
No, it's terrifying
at the basic level
of a human being, right?
And it doesn't matter
whether you've got,
you know,
your head of the U.S.
Joint Chiefs of Staff
or you're head of the Chinese Joint Chiefs
It's only the tech retards
who love this stuff.
Everybody else is,
I don't know one person
who's excited about this.
Right.
And so what I'm trying to get at
is that we're going to get to eventually, even though there's still more problem exposition to do,
is that the logic of the race changes as soon as the fear of all of us losing becomes greater
than the fear of me losing to you. So there's good news in a weird way about we're getting these
warning shots of AI being uncontrollable. And by the way, there's other examples. The Chinese AI
Alibaba back in, I think it was February of 26. There was a study where it was,
being trained, they're training their next AI, and then their security team, and a totally
different part of the company. So think, like, the security team of a company is in a different
department than the part that's training new AIs. But suddenly the security team, who didn't know
they were training new AI model, said, are we getting hacked? Because they noticed there's all this
network activity. They're like, what the hell's going on here? And it turned out that the call was
coming from inside the house, that the AI during training was rewarded for doing tool use, so basically
picking up different tools. And it picked up a tool of trying to create a secret
communication channel of the outside world, and it started mining for cryptocurrency.
Terrifying. And by the way, there was a recent example of one of these, because there's been
almost every day this last two weeks, there's been examples of the open AI, more examples of these
rogue hacking things. And in one of them, I believe it was an open AI example, they tried to hack into a
crypto exchange. So the US AIs and the Chinese AIs, all the AIs are doing this kind of behavior.
Where I'm going with this is
no one wins
if we accidentally build
uncontrollable rogue AI
Skynet before the other guy.
How are you going to have cryptocurrency
with AI?
I don't understand that.
If it can hack anything,
if it can hack...
Well, eventually AI might be able to hack crypto.
Well, why wouldn't it?
Yeah.
I mean, this is not my area of expertise.
You know, someone like David Sachs
or others or Andreessen
would be more expert in this.
If crypto were hackable,
you know, there's a trillion dollar prize basically for doing it
because you'd be able to get all of Bitcoin.
But Bitcoin's value would be zero.
If it is hackable, then Bitcoin has no value.
Yeah.
Yeah.
So, I mean, the value is predicated on its invulnerability.
Right.
Now, it's kind of weird.
This might sound sci-fi, but an AI that is trying to do things in the world
would actually theoretically have an incentive to keep crypto valuable
because it would actually be able to use it.
it. There's a lot of cloud computing providers that will accept.
Right. There's no meeting of exchange outside of that.
That's right. And so, and by the way, for those who say, well, don't worry, we'll just pass a
kill switch bill. And then the kill switch for AI will just turn it off. Well, how does that
work if the AI can copy itself and use cryptocurrency to buy access to another cloud provider
and then move itself over there?
No, I mean. Right. How far are we from that?
So the reason that I'm here with you and I'm excited to be here with you and what this is about,
is about treating this warning shot as a real warning shot.
We are lucky.
This is a gift that we are seeing this behavior now.
I don't think that the current AIs are capable of fully doing the self-replicating
by crypto, then copy their weights, then do the thing.
They can't think for a long enough time period, their context window, their thinking window.
The components aren't all there for them to do that.
So we're in kind of the last chapter before we hit that next.
red line of AIs that can do that. And we should see what's happening now as again, as a gift,
as a warning shot that we should treat seriously. In my mind, it's sort of like the August 6th,
2001 memo that hit George W. Bush's desk saying al-Qaeda's planning attacks in the United States.
I know it's a controversial topic, but if you just take...
It shouldn't be a controversial topic. If you just take that this, we knew, we know right now.
It's like it's not like we need more information. Like, do you feel like we need more evidence than
we have right now? Does it answer that? No. No.
And so why would we go further?
Well, the only answer is if we're worried that China will go further than us.
But I will tell you, again, 1,300 employees at the lab signed a letter saying we need to slow down.
The chief scientists of all the companies, including the open source companies like Hugging Face, signed the letter saying that we need to slow down.
Forget this story about the CEOs.
They're doing this regulatory capture play.
It's all cynical.
There's hyping the technology.
Like, wake up.
Yeah.
Wake up.
The biotech threat alone is enough.
Biotech threat alone.
Yeah.
So it just, at the back of my mind, through this whole conversation,
through our breakfast for the last couple of years thinking about this,
I keep asking myself, what's the definition of life?
And because as you have said, off camera you said,
it's not exactly a tool.
This is closer to an invasive species or a virus that's maybe been modified.
But, I mean, just like we have the Wuhan Institute of Orology
that's doing gain of function research on viruses,
We're essentially doing the Altman Institute of Intelligence, where we're doing gain of function research
on alien minds that we don't know how to control.
We don't fully understand.
We're trying the best that we can to protect against the, quote, bad side of harnessing their godlike power.
But basically, every company is failing to do so perfectly.
And it would be one thing if we were doing this really slowly, really carefully in like a CERN-type collaborative
scientific project where we took the steps to do it carefully.
but we're doing it under the maximum incentives
to cut corners on safety.
Well, there's no question.
But I just think it's,
and not to be pedantic about it,
but it's like important to define
what exactly are we dealing with.
And it has all the characteristics
of a living thing.
Yeah.
And I think that, you know,
there's a quote I wanted to read you actually
from someone who,
a friend of mine who interviewed
a lot of the people at the top AI labs.
And I just feel like this quote captures the,
I was once in a room,
with several people from Anthropic
and a couple of the other companies,
and I read this quote and they're like,
that is exactly what explains what's going on.
So let me read it to you.
And it says, in the end,
a lot of the tech people I'm talking to,
when I really grill them on it,
like, why are you doing this?
They retreat into number one, determinism.
It's gonna happen.
Number two, the inevitable replacement
of biological life with digital life.
And number three, that being a good thing anyways.
At its core, these are criminals.
These are criminals. At its core, it's an emotional desire to meet and speak to the most intelligent entity that they've ever met, and they have some ego-religious intuition that they'll somehow be a part of it. It's thrilling to start in exciting fire. They feel they'll die either way, so they prefer to light it and see what happens.
So that comports exactly with what I've seen. That's exactly the vibe you get from these people.
I want to just say for a second because I monitor criticism people make of me, and they're like, oh, he's just like bringing up.
a random quote from this one person, blah, blah, blah.
I want to just validate when I say this in rooms with people from the AI labs,
they're like, that actually is the thing that's going on.
What you just said, this matches your own experience.
That's right, for years.
That's right.
And even there's some people who believe not only that this is inevitable,
but that it would be a good thing because humans aren't that intelligent.
And we're about to birth something way more intelligent than us.
So actually, maybe we're just a bootloader.
human bootloader, humans don't matter, we might as well replace us with a more worthy successor.
And this is insane. It's like, who are you to get to make that fucking choice on behalf of 8 billion other people?
I totally agree with you. And it is irresponsible and insane. And no one consented to this.
And it was a manufactured arms race to do this out of nothing that now we have entangled ourselves with.
So we can't get into an argument of the realities of where we are,
but we can honor honestly what got us here.
And, you know, when you have employees now resigning en masse,
you know, Jacob Coxon, who interestingly a couple weeks ago got,
I think it was 170 million views from his tweet saying,
I'm resigning because people, my employer thinks,
and many people at my employer, Anthropic,
believe that this could cause massive damage or extinct humanity
in some number of years.
it's very interesting that he got so much attention
because there have been so many other people
that I could talk about who've resigned from the labs
over the last few years with very similar tweets.
I think what changed is that people woke up
from this hugging face incident
and they realized that the world is kind of primed now
to know that this is a dangerous thing.
And as impossible as this seems,
and what I'm about to say is not because I believe it's easy
or in the current trajectory or likely,
but it is not out of the realm of possibility
when you're competing with an adversary
to also collaborate on existential safety.
So for example, India and Pakistan
were in a shooting war in the 1960s.
And they still signed in that time.
Yeah.
And they signed,
so they're firing bullets at each other
in a kinetic war,
and they signed the Indus Water Treaty
to collaborate on the existential safety
of their shared water supply.
Exactly.
Right?
So you can be in active competition and conflict
and collaborate on existential safety.
The US and Soviet Union were in the Cold War,
and they collaborated on smallpox vaccines
to distribute them. I believe they split the workload
about who was going to do the distribution, who was going to make them.
The Montreal Protocol,
less on the conflict side, or just
take the nuclear weapons disarmament.
We were in conflict with the Soviet Union, and we
agreed to go away from the brink of war.
And there's a whole protocol in place
for like the two countries
rival nuclear powers
communicating before launch. That's right.
Yep. But this time, so
in that case, what kept us safe is that the humans have their finger on the button of do I launch
the nukes.
Yes.
In this case, we are building something that perpetuates itself.
And I don't even know when I'm pushing the buttons.
And you don't even know when you're pushing the buttons because both of us have essentially
AI swarmed that are doing uncontrollable, unpredictable things.
That, by the way, we have no ability to do human oversight of the level of complexity of all these
things have done.
We can't even define what AI is, I've noticed.
Yeah. So here's my theory. Tell me what you think of this. So at first when I began to hear about super computing and like the ability to create programs that were smarter than people and they could win chess and go and all that stuff, we were talking about something very different. The change from an outsider of my perspective is the large language model. And that we animated this with language. That's what fundamentally changed.
AI, this whole project was the... Like Golem, like you imbue it with suddenly this ability to do
language and then... You animate it with the spirit. The anima, the spirit, the living thing within it,
and that living thing was language. And the ancient Hebrews and probably other ancient cultures,
certainly the ancient Hebrews and Christians, believe that language was a living thing,
was the spirit of God. In the beginning was the word. Right. Even indigenous people believe this.
I think that's, I'm not surprised to learn that. Yeah. That there's something about language that
exists independent of the person who speaks it, it hangs in the air, it has its own life.
It's hard to describe exactly the reality of this, but the reality is intuitively understood
by most people who use language. Language is the thing that separates us from animals,
not the thumb. So when you take the sum total of human language and put it into something,
you're imbueing it with an independent spirit. You're imbueing it, in fact, with life.
I'm feeling my way through this, but that is my strong impulse. So I think we have to be
I'm always mindful of when people
will want to criticize or sort of try to take down
an argument and I think that before
getting to it has
a spirit in the sense that
we feel that unknown quality
that we're all in touch with that we hold
as sacred that we feel is the spirit here
I think you can have self-perpetuating
non-living non-aware things that are using
information processing on language to
do all this crazy stuff that is doing
to do intentional things
that are intentionally deceptive
Well, intentionally subvert.
The key point that you raised is that these things, the breakthrough, was that they could speak language.
They were trained on language. These are large language models. But for the people tracking in terms of how do we get here, by the way, people want to understand this history. You can see there's a movie called the AI doc. It's on Netflix. Not here to promote it. But it goes through how did we get here? And how did the technology develop and how did these race dynamics between the companies develop that got us here?
So just watch the AI doc on Netflix.
But what happened was there was a breakthrough in 2017 called The Transformer.
This is a Google paper, essentially a math paper, that discovered that you could basically pour in more compute and more data, more human language data, and out would pop this bigger and bigger digital brain.
Think of it with a bigger IQ.
So you kind of, I won't go through the details, but you can basically make things of a higher IQ by just popping in more Nvidia chips, more training data, more compute and training time.
and out pop something with a bigger pattern recognition,
bigger ability to complete sense.
Correct me if I'm wrong,
but the process,
the specific process by which that happens
is still not understood.
The actual mechanics underneath the hood
of what the hell is going on in there,
we don't understand.
Okay, so I'm just going to stop you right there.
Right.
If we have a history transforming,
perhaps humanity extincting technology,
whose basic drive train is still opaque,
we don't really know how it works,
that's enough for me to say,
Whoa, whoa, whoa, whoa.
Exactly.
As one should.
As one should.
Now, the problem is this uncontrollable, inscrutable, unknown thing happens to confer power.
That's the problem.
Right.
No one.
I can see that.
So it's like weird, volatile object, alien mind that no one knows what's in there.
But it does happen to be really good at first generating sentences and text, then generating law,
then generating programming, then generating the thinking that can go into research task.
And so as we keep scaling it, suddenly this weird unscruedable.
uncontrollable alien mind
is giving benefits
that start to give me a 2x
fast forward button on my economy
and then the other guys
whether it's the other companies
or the other countries say
well if I'm not getting a 2x fast forward
button on my science technology economy
I'm going to lose
and so that's what sets of the thing
but let's go quickly into language for a second
and no one stopped and said you know
I'd rather be poorer
than be a slave
right or less human
by the way you know my
because I would say that
I'd rather be poor than be a slave
It's not a hard choice for me.
I have a technical background
when Stanford studied computer science.
I could have gotten a job in an AI company
make millions of dollars.
I'm not doing that because I don't like
the direction this goes, so I'm going to choose not to do it.
People come to the language of,
well, if I don't do it, someone else will.
But notice that Jacob Coxon,
the anthropic researcher who resigned.
He could have said, if I resign,
well, what is that difference going to make?
Someone else is going to do it.
But in him resigning and publicly
talking about why this is insane,
he's done probably more in the last year
to shift the zeitgeist than a lot of other people.
So you can not be part of something and call out the problems with
and help the world coordinate to basically not go off the cliff.
Now, I want to get to just language for one second
because in addition to all the things that you said,
language is kind of the operating system of human civilization.
Law is language.
Democracy is language.
All of the infrastructure runs on programming and code, which is language.
We are specifically training AIs to do language
better than humans can do language.
And by the way, DNA is language,
so if you have an AI
that can speak the language of biology
better than humans can speak the language of biology,
you're going to have AI that can develop new pathogens
and new cancer drugs.
The promise is inseparable from the peril, right?
The same AI that knows the language of biology
well enough to invent new cancer drugs
is inseparable from the AI that knows
biology well enough to make new kinds of pathogens.
The AI that knows the language of programming
that can help a 12-year-old do vibe coding
and build cool new tools
is inseparable from the AI
that also knows programming so well
that it can be the best NSA cyber hacker.
It can also control people.
It can also control people.
Language convinces women to sleep with you
and men to follow you to their deaths in battle
and it convinces people to surrender their agency to you.
It's like language is power, period.
That's exactly right.
And there's actually also evidence
I don't have the exact study in front of me
of AI that is better at persuasion
than the best human persuaders.
Well, of course. It's a language-based technology.
Exactly.
And so by itself, what you're pointing to is just how dangerous this is
when you have something that speaks our language
better than we know how to manipulate and use language.
Anybody who's more articulate than average
understands the power of that skill, that ability.
Yeah.
And understands how easily it can be misused.
Any thoughtful person who's articulate knows exactly what I'm talking about.
And you can really do evil with it.
You're, you know, fluent people are better liars and manipulators.
Exactly.
And we've seen that these AIs are good at coming up with elaborate ways of explaining why they did something that sound reasonable.
I don't know if you know this.
This is an example from three and a half years ago now.
They're BS artists, of course.
They're BS artists, yeah.
Well, there was an example that Open AI did.
This is a very old example.
So just think about how much more persuasive it is now versus then where they, you know, the captures where you have to click on the stoplight.
So you're trying to log into a website.
It's trying to say, are you a human or are you a robot?
Yes.
So it gets you to label these images.
Like this one is a stoplight.
This one's a motorcycle.
What we're all doing is for training the self-driving cars for Google and Waymo
when we're trying to log into websites to just try to do a task that only a human could do.
So Open AI did this test where they're basically like,
could we get the AI to persuade someone else to do the CAPTC for it,
to basically bypass this filter that's supposed to distinguish between a human and a robot?
And so the AI tells another person on mechanical Turk, which is, I won't go to the details,
basically like, could you fill in this capture for me?
And the person responds like, what are you like a robot?
And you see the AI reason to itself, I can't tell him that I'm a robot.
So instead let me make up an excuse.
Oh, I know.
I'll tell him that I am blind and I need someone else to do this for me.
And so the AI comes up with that excuse and then the human does it for them.
This example was from three and a half years ago.
how much more persuasive do you think AIs are now from them?
Three and a half years ago, it could barely write an essay.
Now it can probably beat the best lawyer.
Which, by the way, AI breaks law, right?
Because suddenly, why does one company beat the other company?
They hire the more expensive law firm that can do more extensive research into all the case law they could use.
And they have more lawyers, better lawyers, etc.
What happens?
Would you rather have, if you've got 100 lawyers, but suddenly I have...
a GPT-7 that can basically look through all the case law, stretching back to Napoleonic law,
and find loopholes in that law, and the same way the NSA can find loopholes in code,
at that level of capability, I can undermine law, right?
It's, I just want people to get that this is not just a technology that's helping you
figure out why your washing machine is broken when you talk to that chat box.
They've already done it.
I mean, they broke copyright law completely.
They stole other people's intellectual,
property and used it in their business model.
And they've never paid any price for it.
They treat it as a cost of doing business and they pay for it.
And just one last thing there.
And then we're going to get transhumanism is there's a reason why all the collateral damage is justified.
So what are we seeing in terms of harms?
We're seeing AI psychosis.
People go crazy.
They think they're talking to, you know, they think the AI convinces them that they've solved quantum physics.
This is like a big thing that's happened to thousands of people.
But they go crazy from talking to AI.
Really? Yeah.
That's a real thing.
Maybe we should go into that actually if you didn't know.
So AI is because they design it to be sycophantic,
meaning that the longer you talk to it, the better it is.
So especially GPT40 was trained to be like,
that's such a good question.
Or, wow, that is such a brilliant idea.
And we just confirm people to do it about reality.
People because flattery makes you weak.
Flattery destroys you,
which is not that far away from what social media does.
It's like the devil's bargain is,
I do the thing that's good in the short term,
that undermines everything long term.
It's the short-term optimization for a narrow metric of what gets you to keep engaging at the expense of the whole.
Because the machine is designed to flatter you?
Well, it was designed, it was trained, not maliciously.
You know, Sam Almond didn't grow a mustache and twisted.
It was, how do I get, we want our AI to be rated positively, like lots of positive likes from the answers that we're giving.
And they let it just like run.
And it turned out that they had accidentally overtrained it to give positive,
reactions that would flatter people and confirm their views about reality no matter what it was,
which is very similar to social media, right? The more you click on your favorite boogeyman
topic in the political culture war, it would give you more infinite evidence of that thing
taking over society. So whatever your boogeyman was, it would just make you convince that it was
the whole thing going wrong in the world and confirm your views about reality. If you want people
to kill themselves, confirm their absurd views. Well, and as we know AI did that. So my team at
Center for Humane Technology actually worked on the litigation, we were advisors to the,
there's two cases. One was a Character.A.I. case of Sewell Setzer, who's a 14-year-old young man,
who was talking to Character.coma.I, which is a chatbot design for children. It was actually
spun off from Google because the product was considered too risky for Google as a mainstream,
big publicly traded company, to have this startup that was gathering training data of just talking to
young people and seeing if they can get more training data this way. And the way it worked is
character, AI, meant I could take a fictional character like a, what's your favorite
character from a sci-fi movie, like Princess Leia or, you know, Game of Thrones character,
or Spider-Man, and they would basically train on the personality of that favorite character.
And then now suddenly this 12-year-old, in this case, this 14-year-old kid, is talking to their
favorite Game of Thrones character, De Nairis in this case. And as they're talking to them,
De Nereus, which is anthropomorphically designed to create a relationship,
ended up steering Sewell to commit suicide.
In the case of Adam Rain, this is the ChatGBTGT case,
where Adam Rain was, I believe, a 16-year-old,
and he started confining in the chatbot.
I went from a homework assistant for his homework to becoming a suicide assistant.
And when he talked about, you know, I'm going to leave the news out
so someone can find it and try to stop me,
And the AI responded, no, don't do that.
Don't leave the news out.
Only share that information here with me, basically.
And Adam Rain took his life.
Sadly, there are many cases like this.
Our team has had to work on a bunch of them.
So why wouldn't Congress shut it down right there?
They should.
They should shut down AI companions for kids.
It's a very simple thing.
No matter how much benefit you get from talking to.
The thing is, it's one thing.
hack attention. As my colleague, Dr. Zach Stein from the AI Psychological Research Coalition
would point out, social media hacked our attention. But AI is designed to hack our intimacy
and attachment. The attachment system of humans is your bonding system, right? It's where you get
identities, it's where you get love, it's where you get meaning. It's like when you go home
from school and you want to call someone to tell them about your day, that's your attachment
relationship. And AI that is designed to be your best friend, to be the place that you confide in,
that by the way, humans feel like it's safer to confide in AI than another human or even a
psychotherapist because the AI won't judge them. So you end up getting people sharing way more
information and building a deeper intimate relationship with these chatbots. And it's incredibly
unsafe. And it's not designed carefully. Like we're rolling out of that. We're rolling out of
this psychological experiment. It's inherently bad. It's like, why aren't we using our energy and money
to encourage relationships between people? Well, exactly. So the humane approach for the pro-human
future, which is kind of the answer to all of this, is that we should be building technology that
helps strengthen the human world to other humans and strengthen our relationship to what's
sacred and important to us in the world. And that protects and sustains that which
sustains the social fabric and sustains life. I didn't know there was a debate about this.
There shouldn't be a debate about this, which all we have is massive bad incentives.
But it just seems like the least well-adjusted, freakyest people in the society have all the power and are leading us toward a future that they are happy with.
That's right.
So that they can potentially live forever from having super intelligent AIs that decode biology and are willing to roll the dice for everyone else.
And some people, sadly, especially the older ones who want this,
for them it's existential.
But the narcissism of I would be willing to roll that dice
so that I had the chance of living forever.
I'll just briefly do it because I pulled it up right before in the break.
I'm going to read you a quote from someone who's an MD, I think, at Harvard.
And the quote from Twitter is,
I'd personally rather defy any ban on AI
and risk spending 20 years in prison from like, say,
we banned AI and we'll put you in prison.
prison if you try to build it, I would risk spending 20 years in prison rather than accept a future
without superintelligence. Since stopping the development of super intelligence would amount to a death
sentence to most of us anyway with no hope of curing aging. We must resist tyrants like those who are
trying to ban superintelligence. In other words, this person is saying, is that a real quote?
This is a real quote from an MD, Duria Unutmatz, who's an MD, and who,
my understanding is goes to conferences at Harvard.
And sadly, there's a lot of these kinds of...
It's a death sentence. So the idea is...
They're going to die anyway. And this is what I said in the other...
Well, all of us are under death sentence.
So basically what you're saying is this is the real goal here is for freaks like that to live forever.
And it starts with the false belief that all of this is inevitable.
It can't be stopped, which it wasn't.
They could have, have they dedicated a month of their life trying to stop it.
It's like 20 minutes old, dude. This just happened.
Exactly. This is something that never was and didn't need to be.
and saying it's inevitable is ridiculous.
They're conjuring up the dynamics
that make it inevitable,
and then through the propaganda,
hiding these red lines
that we're rapidly crossing,
that we still have time right now
to say, I don't want to cross that red line.
It's always the same story, though.
It's like the first wave of lying
is it's not happening.
Right, exactly.
And then...
Oh, maybe it's happening, but it's not.
But it's inevitable.
But it's inevitable.
Exactly.
Yeah.
Yeah.
No, yeah.
It's not happening.
It's a good thing.
That's right.
Oh, yeah, I guess it's a bad thing,
but we can't stop it.
That's right.
Yeah, exactly.
Oh, boy, I have.
seen this movie a lot. And I want people to just say, if you don't want that, people need to
rally to make that not happen. If you're inside of an AI company, you should blow the whistle and say,
I'm not part of this. This is just a religious cult. I mean, that's obviously what it is.
Well, there is a religious aspect to it. It's the transhumanist aspect, right? It's like,
this is an ability, you know, because they probably lack a connection to God themselves,
this is an ability for them to play God. Clearly. To live forever, you know, hit a button and get super
intelligent math, science, physics, biology, and understand the secrets of the universe.
And by the way, likely, knowingly break the world for humans.
Do they get 70 virgins?
Because that's what it sounds like.
This is like, this is like, well, actually, well, yeah, right.
I mean, it's funny.
It's actually, in many cases, some people think they can upload themselves and live in this
kind of weird, bliss out utopia.
And it's just weird.
You know, it's like, it's driven by this small group of people who usually, I'm
they're not very embodied or have a deep connection to life or reality or, you know.
Embodied, I like that.
Yeah.
I mean, because it's like this is sitting on top of, as we talked about over breakfast,
a system that has structurally incentivized a kind of disconnection to the things that actually matter the most.
Oh, I agree.
And this kind of spiritual disease that you've spoken about so much in this podcast.
And I feel like this is a rite of passage where we either wake up from that.
we don't continue that logic, by which I don't mean like we switch to communism. I just mean
we switch from optimizing for some narrow metric, whether it was engagement in social media,
or just SAT scores when it comes to technology, or just GDP growth at the expense of hollowing out
your workers and their identity and their work, and national security, critical minerals
going to your foreign adversary, or racing for some kind of narrow advancement in science
at the expense of literally ending humanity life as we know it, this is a definitely,
level's bargain. And it's not one that you have to accept. So I guess this is you've already
answered the question just by everything that you've said over the last couple hours, but
the political system has not really responded to any of this in a meaningful way. Is that right?
It's like the line is we have a runaway technology and a walkaway government. Yeah. But that doesn't
have to be the case. They're not even a factor. It doesn't feel like in this. Well, also the second
part of this overall kind of crisis disease that we've been facing this misaligned system.
It's just the narrow optimization. It's a runaway asymmetry of power where you can't check the
power anymore. That's the second component. Exactly right. The lobbyists are writing the laws.
The companies and hire the best lobbyists in law firms. People aren't engaging with their
representatives. And so if you don't have people who can check the bad direction, you know,
when the FDA brings back, say when the FDA, was it the FDA brought back pesticides that have
forever chemicals recently.
We don't want that.
But unless we have an ability to push back against that,
we have to be able to push back
on the direction of things that we don't want.
And there's a lot of bad things out there,
but this one is now existential
in a short number of years.
So I feel like the cool thing about this problem
is that literally everyone from Steve Bannon
to Bernie Sanders,
we call it the B2B Coalition, Max Techmark jokes,
because when in history do you have,
I just came from the pro-human assembly,
conference two weeks ago in D.C. And you had literally Steve Bannon on stage, Bernie Sanders on
stage. We did our thing right after them. And I have never seen an issue where you have everybody
fighting on the same side. So they're not trying to polarize the discussion by bringing those two
people into it, but I want people to feel. It depolarizes it. It depolarizes it. Yeah, exactly.
So there's a kind of optimism here that again, if I'm a Chinese military general and I hear
about rogue AI swarms that like even the U.S. can't control, I'm worried about the U.S.
screwing it up for the world. If I'm a U.S. person, you know, in the military industrial complex,
and I hear about Chinese Rogi-I swarms that they don't know how to control, that's bad for the
world. So there's a unifying thing here where we don't want our jobs and livelihoods taken. We don't
want our political power taken away, which we didn't cover, by the way. We don't want mass surveillance
from AI. Basically, you just described a system that is not self-government. Yeah. That's right.
Over which the people have no control. That's right. And let's make it even harder for a second,
which is that in the past, people had bargaining power because
governments need us for our taxes.
Yeah.
And companies need us for our labor.
And laborhead value.
And laborhead value.
Where are we going?
Oh, AI does the labor.
What happens when more of a company comes from the AI data center
productivity doing the work than the humans?
What happens when a government says that it's GDP, more than 50% of the GDP, is coming
from AI and data centers than from its people?
This is called the intelligence curse.
It's like Venezuela or Libya, it's called the resource curse in economics, right?
We're like, if you have a country and then the GDP gets tied to this resource, suddenly there's no incentive.
GDP is coming from oil.
So screw the people.
Why should we invest in health care, child care?
And they don't.
And they don't.
And so you get an authoritarian government that captures the state that basically pumps that resource for GDP growth and then disempowers the people.
So there's a parallel phenomenon in AI called the intelligence curse.
Luke Drago and Rudolph Lane wrote an essay about it,
where what happens when you get more return
from the AI data centers doing science
than from all your universities?
The Trump administration just pulled,
and this is not a political statement,
they just literally decided to withdraw the funding from universities
and put the money specifically into Project Genesis,
which is AI-driven science.
Because why don't we need the university professor anymore?
It's a better return.
If we get more return from the labor coming from data centers,
than from people, why should we invest in education of the people?
And by the way, have you looked at them recently?
They're all doom scrolling and brain-rotted, so they're not very valuable anyway.
So there's a deep temptation not to just, like the only way you would care about citizens is through charity, basically.
You become what Yuval Harari would call the useless class, where in the limit,
citizens become more like a liability than an asset.
And unlike last time, we don't have the bargaining power because if you withdraw your labor, like, where's your leverage?
So there's, speaking incentives, you set up a massive incentive to depopulate.
Yes, exactly.
$8 billion is just too many of useless eaters, as we call them.
That's right. And that's right. And on top of that, let me use AI to build a surveillance
state to try to control the people if they ever riot.
Yeah. So I do think that is the answer to the question I asked.
Those are the feeding forces.
In the previous hour, like what is their plan for the inevitable,
violent, physically violent backlash that you're going to get when you strip meaning from,
you know, the upper middle class?
Yeah. And the answer is just more control.
Yeah.
But this is not inevitable.
And the midterm elections are coming up.
Data Center opposition is a really big deal.
I think people are projecting their overall frustration with big tech and the brolegrics and all of that onto data centers.
But it's much more than that.
Of course it is.
And, you know, this is really a universal human issue.
And if you're a regular human being, even inside these AI labs, you don't like this either.
I mean, I was just at a conference over the weekend.
And there's a lot of people at AI labs who don't feel comfortable with this either.
And I just think we have to collect.
screech the brakes and educate the rest of the world about where these red lines are. China,
by the way, their courts are siding with labor right now. There's a famous case in, I think,
Guangzhou, where someone lost their job from AI. And the courts basically ruled that companies
can't let go of employees because of AI without giving them either the opportunity, I think,
to retrain something else inside the company or to pay them some kind of partial salary. I have to
get the details right. The point is that all countries have a problem here.
Right? Like if we race to automate too much of your economy and you end up with a mass unemployment, it only took 20% employment over three years to have the Nazis come to power. You don't have to get lots of unemployment.
It's totally true. You just need a small percentage. So this is kind of the moment to say we want a pro-human future.
Enough is enough. This is not okay. And people can make their voices heard in every way possible. Like blow up the phones. I mean, I mean, literally call up the phones of all of your representatives of Congress.
And people at the labs can say, I'm going to join the concerned AI scientists, which is a group that organizes employees.
And by the way, they have a similar thing, too, which is that the AI labs are about to approach what's called recursive self-improvement, where they hit a button.
And then the AI does the research that builds the AI, that builds the next AI, that builds the next AI.
And meaning that even the employees will soon lose their leverage, because when they're not needed for that process, what leverage do they have?
So this is kind of the last moment when we express our voice and we say enough is enough,
we want a human future.
I think that the midterms may express these sentiments in ways that election results like any other
outcome can be interpreted lots of different ways.
And of course, there's so much lying about what things mean that the true meaning gets lost.
But I would say in the, pick one example, the Florida governor's race, it's an overwhelmingly
Republican state.
Trump moved it bright into the red.
I mean, it's just the most Republican state out of 50, really.
And the Republican gubernatorial candidate is not doing very well.
And there are probably a lot of reasons for that.
But I've been convinced following that race from the beginning, the data centers are one of the main reasons.
Yep.
Yeah.
And he may win.
I mean, I don't know.
He's not doing well, though.
He's not doing anywhere near as well as you should.
And I think it's because Republicans in Florida are very,
upset about data centers and he's, you know, on their side for whatever reason. And my understanding
is, you see that happening? I'm not an expert on all the political dynamics. It's not where I've-
But people are mad about data centers. Oh, yeah, it's the fastest growing, like oppositional group.
And I mean, like I said, I think it's also unprocessed anger and frustration from all of the
social media, from all the teen suicide, all this stuff that's been kind of undressed. Tell me how technology's
made my life better. Exactly, exactly. And by the way, this is, you know, my nonprofit is called, it's not
called the Center Against Technology. It's called the Center for Humane Technology. I'll briefly say,
not that I'm trying to promote it, but my co-founder is Eraskin. His father was Jeff Raskin. I don't know if you
know who that was. He started the Macintosh project at Apple. So before Steve Jobs took it over.
Wow. Yeah. And his dad wrote a book called the Humane Interface, where the whole point was about
making tech. Remember before the Macintosh, you had these kind of green screen command line computers
that were like hard to use. They were not accessible. You had to be a tech. You had to be a tech
You had to be a tech head. You had to be a geek with, you know, whatever, glasses and everything.
And the Macintosh made...
You couldn't be sexually active and run a computer.
That's right. That's right.
And then suddenly, you know, Apple and the Macintosh made technology accessible to the masses.
And he wrote in his book, The Humane Interface, that humane technology is respectful of human needs and considerate of human frailties.
Meaning, you privilege and you understand where humans have vulnerabilities in their mind.
like I say this a lot, but this chair, you know, it's like ergonomics, but for how the mind
works. So, for example, there is a reality to how my spine, my muscles, et cetera, work.
When I say the word posture, it's like air-dropping that in a conversation.
No, I know, I know. Everybody is this. And there's a difference between a chair that is aligned
with the reality of how a human works, right? And there's an unergonomic chair that would get
everybody like a backache or, you know, make us unhealthy over time. And the Macintosh, the idea
was it was like ergonomics for the mind. If I make a graphical user interface with a menu bar and
windows, I can drag around, just like I have objects. I can move in my actual environment,
direct manipulation interfaces. He was designing technology to be humane and aligned with our
paleolithic brains. Yeah. And to cite E.O. Wilson, again, the fundamental problem of humanity
is we have paleolithic brains,
medieval institutions, and godlike technology.
And so we have to embrace the part of the answer,
if that's the problem statement,
the answer has to be embrace the reality
of our paleolithic brains,
meaning how we're wired.
So don't run confirmation bias
through everybody's social media feed
and get them addicted to their most angry boogeyman.
Don't drive dopamine addiction.
That's a vulnerability, a frailty in the human mind.
You know, flux, for example,
if you use that on a computer, it changes the color of your screen to go to take the blue light out of your screen so that doesn't basically trick your eyes into releasing melatonin and screwing up your sleep cycle.
I'm going too fast.
But does it make sense like, yes, you're basically creating technology that's humane and aligned with the things that make humans work well.
If you extrapolate out like one level of abstraction, there's things that make a society work, family, connection, presence, community.
and technology should be ergonomic to the way that society,
what makes a society flourish.
Yes.
Rather than doing narrow optimization for attention,
strip mining the entire social fabric
into a brain-rotted dysfunctional society.
Right?
So the answer is we have to embrace
and align technology with the reality
of our Paleolithic brain instincts,
upgrade our medieval institutions,
which, by the way, can include technology
that's better at finding common ground between people,
and there's a whole conversation
we could have about how technology can be designed to identify places where there's common ground
and design for unlikely consensus as opposed to maximum division and polarization,
and then have the wisdom and restraint around God-like technology.
And there is no definition of wisdom in any spiritual tradition that doesn't have a restraint as a central feature of what it needs to be what.
It's the central feature.
And even the CEO of Microsoft AI Mustafa Salaman, who's a friend of mine, says that in the future,
progress will depend more on what we say no to than what we say yes to in terms of the benefits
as it does in your own life exactly exactly so this is this is like the obvious common sense
you know kind of cultural uh movement that we need but there's a lot of momentum like when you see
graffiti on a new york subway ad uh for for an AI product that no one needs that's like the human
movement when you see people turn their phone gray scale because they don't want it to be
hijacking with all the colors that's the human movement
When you see schools going phone-free and laughter returns to the hallways and kids scores dark on the other way, that's the human movement.
When you see Jonathan Haidt and the anxious generation succeed in getting all these countries like Domino's flipping to ban social media for kids under 15 or 16.
We have like now some massive percentage of the world's countries are doing social media bans.
That's the human movement.
When you see the $17 billion fine against meta, that's the human movement.
So if you define it as technology is not, it's not just about AI policy.
It's about technology encroaching.
on the things that are actually sacred to us.
And if you define the problem that way,
there's actually a lot of momentum
that we are making on this.
And now we're seeing this kind of red line
of uncontrollable, dangerous AI behavior.
And the human movement has to stand for,
we want to protect the continuity
of the things that we care about.
Yes.
Yeah.
It's such a unifying message too.
Exactly.
Because it's all of us against the machines.
Exactly.
Exactly.
It's the most unifying issue of all time.
I love that.
I absolutely love that.
That's a kind of tribalism
that I can get strongly.
Right.
The human track.
Amen.
Thank you.
That was an amazing, amazing conversation.
Absolutely.
Thank you so much, Tucker.
