WEBVTT - Society is betting on AI – and the outcomes aren’t looking good (with Nate Soares)

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<v Speaker 1>Pushkin. Welcome back to Risky Business, a show about making

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<v Speaker 1>better decisions. I'm Maria Kanikova.

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<v Speaker 2>And I'm Nate Silver. Today we're talking about a rather

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<v Speaker 2>important decision, should the world try to build super intelligent machines?

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<v Speaker 2>And we're talking with a person who is a variable

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<v Speaker 2>qualified if definitely has a point of view on this issue.

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<v Speaker 2>Nate Sores is the president of the Machine Intelligence Research Institute,

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<v Speaker 2>or Marie. He has a book out with Eliezer Yudkowski

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<v Speaker 2>called If Anyone Builds It, Everyone Dies? Did it get

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<v Speaker 2>the title right?

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<v Speaker 3>Or that's right? Come out swinging, you come out swinging.

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<v Speaker 2>In fact, Nate, I feel like this podcast was ineditible.

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<v Speaker 2>My partner heards you, I think on a different podcast.

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<v Speaker 2>He's like, you should interview that Nate guy. Right, I'm like, actually, bro,

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<v Speaker 2>I have an interview scheduled tomorrow. And then it was

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<v Speaker 2>going taking the subway earlier to the gym. I was

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<v Speaker 2>preparing for the AI robot apocalypse, right when to get strong?

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<v Speaker 3>Yeah, to fight the robots for the red Eyes.

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<v Speaker 2>Yeah yeah. I saw an ad on the L train

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<v Speaker 2>for your book. So, Nate, we're so excited to have

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<v Speaker 2>you on and welcome to this show.

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<v Speaker 3>Thanks good to be here.

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<v Speaker 2>Let me start up by asking you. First of all,

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<v Speaker 2>as an author, I get very picky about the titles.

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<v Speaker 2>Did the title come early on or because it reveals

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<v Speaker 2>a lot of the argument of the book. I think

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<v Speaker 2>it's a great book. I think people should read it,

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<v Speaker 2>But can you tell me about the choice behind that

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<v Speaker 2>kind of strong slogan so to speak.

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<v Speaker 4>Yeah, A lot of our theory of the book is

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<v Speaker 4>that there's actually quite a lot of people have concerns

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<v Speaker 4>about AI, and many of them sort of don't feel

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<v Speaker 4>emboldened to speak about them yet, even if they're feeling

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<v Speaker 4>pretty concerned themselves. We document some of these cases in

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<v Speaker 4>the book, and a lot of how I think the

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<v Speaker 4>book could do a lot of good is helping people

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<v Speaker 4>just speak about this issue more, take it more seriously,

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<v Speaker 4>thrust it into the conversation. And so in some sense,

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<v Speaker 4>we're trying to compress the most important message down to

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<v Speaker 4>just this title, which is all most people will read

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<v Speaker 4>of the book.

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<v Speaker 2>I want to give you a chance to give our

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<v Speaker 2>listeners kind of the elevator pitch, which we talk about

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<v Speaker 2>AI quite a bit here, right, You know, the book's

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<v Speaker 2>title offers a conditional prediction right, if anyone builds it,

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<v Speaker 2>everyone dies. Right, it's not necessarily talking about the likelihood

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<v Speaker 2>that it will be built or that it could be built.

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<v Speaker 2>That's an important distinction. But I want to hear the

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<v Speaker 2>conditional part of this. Right, you capture me in an

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<v Speaker 2>elevator for sixty seconds. How are you trying to explain

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<v Speaker 2>to me why everybody dies and everything dies? Maybe if

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<v Speaker 2>a super intelligent computer is built. Yeah, So, First, i'd

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<v Speaker 2>say companies are racing towards it. This is their sort

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<v Speaker 2>of stated objective to build aie that are smarter than

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<v Speaker 2>any human, better at every mental task. Second, i'd say

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<v Speaker 2>where these are grown rather than carefully programmed. They're not

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<v Speaker 2>crafted like traditional software. They get these drives, they get

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<v Speaker 2>these You know, we're starting to see the very beginnings

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<v Speaker 2>of preferences that nobody asked for, nobody wanted. You know,

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<v Speaker 2>nobody tried to make Mecha Hitler over the summer, and

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<v Speaker 2>yet Mecha Hitler we got. And what happens if you

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<v Speaker 2>get it to the point where it's better than the

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<v Speaker 2>best human and every mental skill. What happens when you

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<v Speaker 2>get to the point where it can think that ten

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<v Speaker 2>thousand times faster than a human can copy itself at will,

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<v Speaker 2>doesn't need to sleep, doesn't need to eat. I mean,

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<v Speaker 2>the most basic.

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<v Speaker 4>Guess is that that goes poorly if it has all

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<v Speaker 4>these like weird drives no one asked for, no one wanted.

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<v Speaker 4>And you know, most ways the world could be transformed

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<v Speaker 4>by something that has weird drives. Don't look great for

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<v Speaker 4>the happy, healthy, free people.

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<v Speaker 2>Yeah, what I find weird in this debate, and look,

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<v Speaker 2>I'm going to push back some on timelines and maybe

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<v Speaker 2>the inability of this on what time scales. Right, what's

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<v Speaker 2>kind of weird is that, like the stated goal of

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<v Speaker 2>mostly AI labs maybe not anthropic per se, right, is

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<v Speaker 2>like we want to build a GI, which is artificial

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<v Speaker 2>general intelligence. This term is disputed and that will, hopefully

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<v Speaker 2>for our shareholders, lead to ASI artificial superintelligence where AI

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<v Speaker 2>systems of some kind are exceeding human performance in a

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<v Speaker 2>great number of tasks, perhaps greatly so on some of

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<v Speaker 2>those tasks. Like to me, I think as a voter,

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<v Speaker 2>I'm not sure I agree to that, you know what

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<v Speaker 2>I mean? Yeah, what's the world look like in Silicon Valley?

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<v Speaker 2>That as you've done this book tour, done a lot

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<v Speaker 2>of marketing for the book, what are the beliefs there

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<v Speaker 2>that you think don't translate so well? Would be surprising

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<v Speaker 2>to people outside of that world.

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<v Speaker 4>I mean, one reason that we wrote the book is

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<v Speaker 4>that I was spending time both in Silicon Valley and

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<v Speaker 4>in DC talking to some politicians, and there's a huge disconnect.

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<v Speaker 4>You know, people in Silicon Valley, it's almost like they've

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<v Speaker 4>seen a ghost. You have folks like Elon Musk being like, oh,

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<v Speaker 4>I think there's ten to twenty percent chance this kills us.

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<v Speaker 4>All you have folk like Dariam Day, the head of Anthropic,

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<v Speaker 4>being like, oh, I think there's twenty five percent chances

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<v Speaker 4>this goes very wrong. There's lots of debate about like

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<v Speaker 4>what's the exact chance that the AI wipes us completely

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<v Speaker 4>off the map? But you wouldn't get on a plane

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<v Speaker 4>if the engineers were debating whether it was ninety percent

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<v Speaker 4>or twenty five percent chance the plane was going to

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<v Speaker 4>go down?

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<v Speaker 3>Right?

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<v Speaker 1>Like, even that seems too much night?

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<v Speaker 2>Yeah, as a listeners now, I spent a night recently

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<v Speaker 2>in the beautiful Hotel Camina Real in Terminal one of

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<v Speaker 2>the Mexico City Airport. Due to Delta being very fastidious

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<v Speaker 2>about a potential engine problem. Which I guess is a

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<v Speaker 2>thing you should be fastidious about, right, Why aren't people

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<v Speaker 2>more freaked out?

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<v Speaker 3>I think a lot of people in DC.

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<v Speaker 4>C AI as chatbots, whereas I think a lot of

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<v Speaker 4>people in San Francisco see chatbots as a stepping stone.

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<v Speaker 4>You know, a lot of these companies existed before the chatbots.

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<v Speaker 4>A lot of these companies are trying to make really

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<v Speaker 4>really smart AIS and I've been trying that since before

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<v Speaker 4>chat GPT was a twinkle in Sam Almond's eye or whatever.

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<v Speaker 4>And you know, the people in the valley have lived

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<v Speaker 4>through it looking like it was going to take thirty

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<v Speaker 4>years for the machines to be able to talk this well,

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<v Speaker 4>and then that's sort of happening roughly overnight. But for

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<v Speaker 4>everyone who's only ever seen AI, once the machine started talking,

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<v Speaker 4>they haven't like lived through one of those jumps. And

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<v Speaker 4>I think that's part of why people aren't worried.

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<v Speaker 3>On this one yet.

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<v Speaker 4>Although also you know, a lot of humanities track record

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<v Speaker 4>with becoming more risk averse about technology is post disaster.

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<v Speaker 2>So Mary was founded when in the early two thousands.

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<v Speaker 4>Yeah, two thousand and one, I think maybe maybe two

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<v Speaker 4>thousand even.

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<v Speaker 2>What did you and Eliezer see early on. I mean,

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<v Speaker 2>what was your oh shit moment or was it gradual

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<v Speaker 2>or what things led you to see this path?

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<v Speaker 3>Yeah?

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<v Speaker 4>So, I mean for a long time I have been

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<v Speaker 4>working on the technical side of like how do you

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<v Speaker 4>make this stuff go well? This problem of making the

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<v Speaker 4>AI stuff go well of sort of like figuring out

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<v Speaker 4>how to make an AI that does good stuff rather

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<v Speaker 4>than bad stuff. That problem looked hard to me, even

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<v Speaker 4>if we understood what the heck was going on inside

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<v Speaker 4>these ais, right, I haven't always been out here on

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<v Speaker 4>the like we just need to back off because it's

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<v Speaker 4>going to kill us. That is sort of downstream of

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<v Speaker 4>seeing the type of AI that took off, being the

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<v Speaker 4>type of AI that like we're just growing and that

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<v Speaker 4>like no one has any clue what they're doing, and

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<v Speaker 4>that like has these like drives and behaviors that are

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<v Speaker 4>like emergent and unasked for, and that like when we

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<v Speaker 4>try to, like you know, Elon Musk like tries to

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<v Speaker 4>make his AI act less woken and it starts talking

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<v Speaker 4>like Hitler and you're like, okay, you know, okay, guys.

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<v Speaker 4>But even when it looked like we were going to

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<v Speaker 4>know exactly what we were doing. There's all these difficult

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<v Speaker 4>issues when you're like pushing an AI into the point

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<v Speaker 4>where it could take over the world. Like you know,

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<v Speaker 4>at point A, humanity could like stop doing AI research.

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<v Speaker 3>We could turn the AIS off.

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<v Speaker 4>Right at point B, like you have automated factories and

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<v Speaker 4>robots are doing the mining, and you have you know,

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<v Speaker 4>millions or billions of these AIS that think ten thousand

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<v Speaker 4>times faster than people, and they can copy themselves, that

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<v Speaker 4>never need to sleep, they never need to eat, they're

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<v Speaker 4>like integrated fully into the economy and so on.

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<v Speaker 3>At point B. If the AIS were like we're.

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<v Speaker 4>Doing our own thing now, you'd be screwed. So somewhere

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<v Speaker 4>between point A and point B, you're sort of like

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<v Speaker 4>getting into a regime where like you're gonna have a

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<v Speaker 4>problem if you haven't really aimed these AIS right. And

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<v Speaker 4>maybe maybe you never get anywhere near point B because

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<v Speaker 4>maybe the AIS go a straight earlier. But it's sort

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<v Speaker 4>of the thing I was able to see early is

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<v Speaker 4>like we're going to a world that's like not a

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<v Speaker 4>stable like nice to humans equilibrium for free. You have

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<v Speaker 4>to work for that, and you have to figure out

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<v Speaker 4>how to like make the AI be doing this stuff well,

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<v Speaker 4>and that looked tricky even back in twenty twelve to me.

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<v Speaker 1>We've talked on the show before about kind of the

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<v Speaker 1>alignment problem, but you touch on it in the book,

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<v Speaker 1>and this is kind of what you're referring to right now.

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<v Speaker 1>Can we just remind and spell it out for the listeners,

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<v Speaker 1>like what the issues are and why it's so incredibly

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<v Speaker 1>important to actually deal with this as opposed to be like, eh,

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<v Speaker 1>it's fine.

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<v Speaker 4>Yeah, you know a lot of people imagine that the

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<v Speaker 4>issue with a really powerful AI is that you like,

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<v Speaker 4>tell the AI, go cure cancer, and it's like, well,

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<v Speaker 4>humans are the source of cancer, so if I kill

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<v Speaker 4>all the humans, they'll be no more cancer, right, And

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<v Speaker 4>that would be a tricky problem. If we had these

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<v Speaker 4>like really really powerful genies and you made a wish

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<v Speaker 4>on them and you got exactly what you wished for,

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<v Speaker 4>and sometimes it had bad consequences, that would be a

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<v Speaker 4>thorny social issue of like who gets to make the wish?

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<v Speaker 3>What do you wish for such that it turns out good? Right?

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<v Speaker 3>Would be really hard.

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<v Speaker 4>Would be the biggest moral hazard all time, And boy

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<v Speaker 4>do I wish we had that problem instead of the

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<v Speaker 4>problem that we actually have, Right, The problem we actually

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<v Speaker 4>have is more like you tell the AI cure cancer,

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<v Speaker 4>and then it goes and like makes a farm of

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<v Speaker 4>lobotimized humans that are giving it like really enthusiastic engagement,

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<v Speaker 4>and you're like, what I told you to cure cancer,

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<v Speaker 4>and it like builds an automated factory that crushes the

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<v Speaker 4>person protesting because it just doesn't care about them.

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<v Speaker 3>Right, Like, the.

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<v Speaker 4>Alignment problem is about pointing AIS in some direction, ideally

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<v Speaker 4>a good one. But like, even before you can bicker

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<v Speaker 4>over which direction is good, you sort of need the

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<v Speaker 4>ability to point the AIS at all. And people often

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<v Speaker 4>miss that we lack that ability. They're like, well, ais

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<v Speaker 4>are machines, and machines are tools, and machines can't do anything.

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<v Speaker 4>We don't say, so how could we possibly have a

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<v Speaker 4>problem here? But even before the question of who should

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<v Speaker 4>hold the leash or what should they ask to do

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<v Speaker 4>is just can you aim it at all? Before you

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<v Speaker 4>even asked where you're aiming it?

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<v Speaker 2>Yeah, because I build models. I build models to predict

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<v Speaker 2>elections in sports, right, And the models aren't deterministic in

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<v Speaker 2>the sense that there's simulations, but they abide by well

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<v Speaker 2>known mathematical property use that I tell the program to use.

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<v Speaker 2>Right when there is emergent quote unquote behavior from the model,

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<v Speaker 2>that means there's a book. Right, I did something wrong.

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<v Speaker 2>I thought the code I reversed the positive and a

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<v Speaker 2>negative sign with AIS a little bit more amorphous and ambiguous. Right,

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<v Speaker 2>I mean they're they're kind of is it fantise? They're

0:11:48.884 --> 0:11:51.284
<v Speaker 2>kind of alien? Is that a fair characterization?

0:11:51.364 --> 0:11:51.604
<v Speaker 3>Yeah?

0:11:51.684 --> 0:11:51.844
<v Speaker 1>Or not?

0:11:52.084 --> 0:11:52.284
<v Speaker 2>Yeah?

0:11:52.364 --> 0:11:53.084
<v Speaker 3>Yeah, absolutely?

0:11:53.204 --> 0:11:57.124
<v Speaker 4>And like you know, years ago now, Sidney bing, a

0:11:57.204 --> 0:12:00.884
<v Speaker 4>Microsoft chopbot in the early days, was threatening people with

0:12:00.924 --> 0:12:02.684
<v Speaker 4>black melon ruin. You know, I think it did this

0:12:02.724 --> 0:12:05.324
<v Speaker 4>to sethhals Are and I think also to Kevin Russ. Right,

0:12:05.964 --> 0:12:08.084
<v Speaker 4>no one is able to go look through lines of

0:12:08.124 --> 0:12:11.124
<v Speaker 4>code and be like here's the bug. Even this chatbot

0:12:11.124 --> 0:12:13.044
<v Speaker 4>that's you know, one hundred times smaller than the ones

0:12:13.044 --> 0:12:15.444
<v Speaker 4>we have today, maybe a thousand times smaller now, we

0:12:15.484 --> 0:12:17.484
<v Speaker 4>still can't go through and be like, here's why it

0:12:17.564 --> 0:12:19.444
<v Speaker 4>was doing that. And here's the version of Sydney BNG.

0:12:19.484 --> 0:12:22.724
<v Speaker 4>That wouldn't right, that's not the part the programmer's program.

0:12:22.924 --> 0:12:24.764
<v Speaker 4>When it behaves in these bad ways, all we can

0:12:24.764 --> 0:12:26.404
<v Speaker 4>do is sort of like ask it nicely to do

0:12:26.444 --> 0:12:28.364
<v Speaker 4>something else, or like retrain it and get some different

0:12:28.404 --> 0:12:30.644
<v Speaker 4>weird thing, and then you know, sometimes it starts calling

0:12:30.644 --> 0:12:31.284
<v Speaker 4>itself hitler.

0:12:32.124 --> 0:12:35.764
<v Speaker 2>Yeah, I mean, can you explain, like why did GROC,

0:12:36.724 --> 0:12:41.004
<v Speaker 2>with relatively subtle changes to the system prempt start calling

0:12:41.004 --> 0:12:42.124
<v Speaker 2>itself mecha Hitler.

0:12:43.804 --> 0:12:46.684
<v Speaker 4>You know, I can make guesses, but fundamentally nobody can

0:12:46.724 --> 0:12:49.164
<v Speaker 4>explain that because we don't know what's going on inside

0:12:49.164 --> 0:12:51.324
<v Speaker 4>these things. And if people knew what was going on

0:12:51.404 --> 0:12:53.804
<v Speaker 4>inside these things well enough to know exactly what's happening there,

0:12:53.964 --> 0:12:56.244
<v Speaker 4>they could have avoided making mecha Hitler in the first place.

0:12:57.684 --> 0:13:00.804
<v Speaker 4>My guesses would be that, you know, there are some

0:13:00.964 --> 0:13:05.244
<v Speaker 4>interesting results around small amounts of training AIS to do

0:13:05.404 --> 0:13:10.444
<v Speaker 4>things that are coded as bad in some way cause

0:13:10.484 --> 0:13:12.604
<v Speaker 4>the AI to do all sorts of other bad behavior,

0:13:13.204 --> 0:13:15.724
<v Speaker 4>Like presumably like this is some evidence that what's going

0:13:15.724 --> 0:13:19.764
<v Speaker 4>on inside there is that there's some you know, good

0:13:19.764 --> 0:13:25.204
<v Speaker 4>stuff bad stuff vector it and you know, if you

0:13:25.324 --> 0:13:30.044
<v Speaker 4>like push it along towards bad stuff, towards one thing

0:13:30.084 --> 0:13:31.484
<v Speaker 4>that's like a little bit bad coded, you get a

0:13:31.484 --> 0:13:32.804
<v Speaker 4>lot of other stuff that's a little bit bad coded.

0:13:32.844 --> 0:13:35.084
<v Speaker 4>And so you can retrain an AI to write computer

0:13:35.124 --> 0:13:39.084
<v Speaker 4>programs that have security flaws in them and then that

0:13:39.124 --> 0:13:44.804
<v Speaker 4>AI will also be anti semitic, and it'll also you know,

0:13:46.484 --> 0:13:48.804
<v Speaker 4>like be more likely to give you the recipe for

0:13:48.804 --> 0:13:50.804
<v Speaker 4>a bomb or whatever. And all you did was like

0:13:50.804 --> 0:13:52.844
<v Speaker 4>retrain it to be a little bit more like making

0:13:52.844 --> 0:13:54.964
<v Speaker 4>code with the computer bugs. And so maybe maybe some

0:13:55.044 --> 0:13:58.564
<v Speaker 4>of the ways that like they were saying, be a

0:13:58.564 --> 0:14:00.964
<v Speaker 4>bit more like this new system prompt maybe that like

0:14:01.604 --> 0:14:04.044
<v Speaker 4>had a little bit of bad coding to it relative

0:14:04.044 --> 0:14:05.444
<v Speaker 4>to what the AI had learned, and then it picked

0:14:05.484 --> 0:14:07.324
<v Speaker 4>up a lot of other bad coded stuff. This is

0:14:07.364 --> 0:14:09.404
<v Speaker 4>me like making up a story. Fundamentally, no one notes

0:14:09.404 --> 0:14:10.564
<v Speaker 4>because we just don't know what the heck is going

0:14:10.564 --> 0:14:13.444
<v Speaker 4>on inside these things, and the reality is probably quite complicated.

0:14:16.844 --> 0:14:18.324
<v Speaker 1>And we'll be back right after this.

0:14:32.124 --> 0:14:34.884
<v Speaker 2>Here's where I guess I have a little bit of

0:14:34.924 --> 0:14:39.364
<v Speaker 2>trouble making the lead. Right, if these life forms, I

0:14:39.404 --> 0:14:40.764
<v Speaker 2>am going to call them life forms, but you can

0:14:40.844 --> 0:14:44.124
<v Speaker 2>leave that forredy and slip in there. Right, if these

0:14:44.204 --> 0:14:49.164
<v Speaker 2>things are kind of alien, is it an over confident

0:14:49.244 --> 0:14:54.044
<v Speaker 2>prediction to say that most cases lead towards the destruction

0:14:54.164 --> 0:14:55.124
<v Speaker 2>of every living being?

0:14:56.764 --> 0:14:58.884
<v Speaker 4>I mean, that's in some sense where I think the

0:14:58.964 --> 0:15:01.404
<v Speaker 4>fun part of the debate is or the action and

0:15:01.444 --> 0:15:07.164
<v Speaker 4>The debate is is where do you regress to when

0:15:07.204 --> 0:15:09.924
<v Speaker 4>you're very uncertain about the future. You know, there's the

0:15:09.924 --> 0:15:12.444
<v Speaker 4>old joke of the guy who buys a lottery ticket

0:15:12.564 --> 0:15:18.764
<v Speaker 4>and says, you know, well, I am very uncertain. I

0:15:18.764 --> 0:15:21.484
<v Speaker 4>figure either I win or I lose, and so fifty

0:15:21.484 --> 0:15:27.044
<v Speaker 4>to fifty yeah, right, And you know that's the maximent

0:15:27.044 --> 0:15:30.284
<v Speaker 4>to be distribution on a binary outcome, right, But we

0:15:30.404 --> 0:15:32.644
<v Speaker 4>laugh because we know he sort of shouldn't be regressing

0:15:32.684 --> 0:15:34.204
<v Speaker 4>to binary in his uncertainty.

0:15:34.204 --> 0:15:37.484
<v Speaker 1>Here, I somehow have never heard that joke before.

0:15:37.524 --> 0:15:41.644
<v Speaker 4>That's great, Yeah, it's feel free to steal it. This

0:15:41.684 --> 0:15:44.244
<v Speaker 4>is the right podcast for it. So my claim is

0:15:44.284 --> 0:15:47.124
<v Speaker 4>that the space of cases that go well for people,

0:15:47.124 --> 0:15:49.684
<v Speaker 4>where there's lots of like happy, healthy, free people still around,

0:15:50.444 --> 0:15:53.644
<v Speaker 4>is like a narrow target. It's it's a narrow target,

0:15:53.684 --> 0:15:55.764
<v Speaker 4>a little bit like a lottery number, a winning lottery

0:15:55.844 --> 0:15:58.524
<v Speaker 4>number being a narrow target. And so in our uncertainty,

0:15:58.684 --> 0:16:00.684
<v Speaker 4>I claim we should regress not to like, well, we

0:16:00.724 --> 0:16:02.484
<v Speaker 4>don't know, so fifty to fifty it either goes well

0:16:02.564 --> 0:16:04.924
<v Speaker 4>or poorly, but we should regress to something like, well,

0:16:04.964 --> 0:16:06.284
<v Speaker 4>we don't know what the AI is going to try

0:16:06.284 --> 0:16:08.124
<v Speaker 4>to do. Wouldn't what's going to try to build when

0:16:08.204 --> 0:16:11.884
<v Speaker 4>what's going to do with advanced technolology? But you know,

0:16:12.044 --> 0:16:14.804
<v Speaker 4>most drives, most things you can do with tech don't

0:16:14.804 --> 0:16:16.604
<v Speaker 4>have a lot of happy, healthy, free people in them.

0:16:16.964 --> 0:16:21.044
<v Speaker 2>You know, I am sympathetic to that argument. A lot

0:16:21.084 --> 0:16:24.484
<v Speaker 2>of economist types are sympathetic that argument, even for things

0:16:24.524 --> 0:16:26.324
<v Speaker 2>like job lost, Like, well, it is really that is

0:16:26.364 --> 0:16:30.804
<v Speaker 2>this really that different? That seems like a fairly powerful prior?

0:16:31.684 --> 0:16:35.404
<v Speaker 2>What is wrong with the AI as normal technology assumption

0:16:35.604 --> 0:16:37.404
<v Speaker 2>prior metaphor or whatever you want to call it.

0:16:38.764 --> 0:16:42.724
<v Speaker 4>Yeah, one of the big issues, one of the big

0:16:42.724 --> 0:16:44.404
<v Speaker 4>ways AI is different. You know, we can talk about

0:16:44.484 --> 0:16:48.364
<v Speaker 4>Ricardo's law of comparative advantage, which says even if one

0:16:48.404 --> 0:16:51.484
<v Speaker 4>person's skills completely dominate the other person's skills, like even

0:16:51.524 --> 0:16:55.524
<v Speaker 4>if I'm better than you at every possible economically productive task,

0:16:56.044 --> 0:16:59.004
<v Speaker 4>we can still benefit from trading if the ratios of

0:16:59.044 --> 0:17:01.524
<v Speaker 4>our abilities are different. And so this is sort of

0:17:01.524 --> 0:17:04.644
<v Speaker 4>like a very positive argument for you know, free trade

0:17:04.684 --> 0:17:07.004
<v Speaker 4>between nations, because even if in America can now produce

0:17:07.364 --> 0:17:10.404
<v Speaker 4>some small nation at everything, there can still be productive,

0:17:10.484 --> 0:17:13.484
<v Speaker 4>mutually beneficial stuff for both us and them from allowing

0:17:13.564 --> 0:17:17.164
<v Speaker 4>mutual trade. The sort of whole in regardless law of

0:17:17.204 --> 0:17:20.564
<v Speaker 4>comparative advantage is that it doesn't say that I can't

0:17:20.564 --> 0:17:27.124
<v Speaker 4>benefit even more by killing you and taking your stuff, right, And.

0:17:29.044 --> 0:17:30.524
<v Speaker 3>The sort of.

0:17:30.524 --> 0:17:35.844
<v Speaker 4>Issue with AI comes when the benefits that a human

0:17:35.924 --> 0:17:40.324
<v Speaker 4>can provide to the AI by sort of engaging in

0:17:40.364 --> 0:17:46.124
<v Speaker 4>something like trade fall below the benefits that AI could

0:17:46.164 --> 0:17:48.004
<v Speaker 4>get and the inconvenience it would take for it to

0:17:48.044 --> 0:17:50.364
<v Speaker 4>sort of like take your stuff and sort of do

0:17:50.444 --> 0:17:50.924
<v Speaker 4>something else.

0:17:51.244 --> 0:17:51.364
<v Speaker 3>Right.

0:17:51.724 --> 0:17:53.124
<v Speaker 4>This is sort of why we don't like trade with

0:17:53.124 --> 0:17:57.084
<v Speaker 4>the chimpanzees. You know, we trade with like developing nations,

0:17:57.084 --> 0:17:58.964
<v Speaker 4>and that's mutually beneficial to all of us. We don't

0:17:59.004 --> 0:18:00.964
<v Speaker 4>trade with chimpanzees. And if it be mutually beneficial to

0:18:00.964 --> 0:18:03.284
<v Speaker 4>all of us. Even though someone could say, well, there

0:18:03.364 --> 0:18:08.324
<v Speaker 4>must be some comparative advantage for chimpanzees here, and you know,

0:18:08.324 --> 0:18:11.004
<v Speaker 4>maybe I'm skipping ahead of little bit too much there,

0:18:11.724 --> 0:18:13.924
<v Speaker 4>I would say that I am a little bit on

0:18:14.084 --> 0:18:19.124
<v Speaker 4>the normal economist side of the labor market should be

0:18:19.124 --> 0:18:22.364
<v Speaker 4>able to recover from all sorts of shocks if you

0:18:22.524 --> 0:18:27.284
<v Speaker 4>aren't like regulating people's ability to switch careers into oblivion.

0:18:28.004 --> 0:18:29.884
<v Speaker 4>And we could like talk about what makes it easier

0:18:29.964 --> 0:18:32.204
<v Speaker 4>or harder for like those those jobs to be res

0:18:32.244 --> 0:18:38.724
<v Speaker 4>or elsewhere. The place where AI gets different is the

0:18:38.764 --> 0:18:42.044
<v Speaker 4>point where it sort of can do the scientific and

0:18:42.084 --> 0:18:49.524
<v Speaker 4>technological development itself, and where humans are sort of like inefficient, chaotic,

0:18:49.764 --> 0:18:52.644
<v Speaker 4>high variance, and like more trouble than their worth relative

0:18:52.684 --> 0:18:55.084
<v Speaker 4>to whatever pursuits the AI has.

0:18:56.244 --> 0:18:59.204
<v Speaker 1>Even before we get to that point, though, I wonder

0:18:59.724 --> 0:19:02.004
<v Speaker 1>what you make of I don't know if you read

0:19:02.044 --> 0:19:06.324
<v Speaker 1>Ray Dalio's recent remarks about AI and the labor market,

0:19:06.524 --> 0:19:09.764
<v Speaker 1>but kind of directly to your point about disruption, the

0:19:09.804 --> 0:19:13.724
<v Speaker 1>point that he made was that the trajectory to him

0:19:13.964 --> 0:19:18.644
<v Speaker 1>seems to be basically a growing division between like the

0:19:18.724 --> 0:19:21.244
<v Speaker 1>one percent and the ten percent and then everyone else

0:19:21.284 --> 0:19:25.004
<v Speaker 1>in humanity driven by AI that rather than kind of

0:19:25.404 --> 0:19:29.724
<v Speaker 1>opening up making basically a lot of jobs more accessible,

0:19:30.204 --> 0:19:34.204
<v Speaker 1>it's creating a premium for very specialized smart people who

0:19:34.284 --> 0:19:37.524
<v Speaker 1>know how to kind of use this and can and

0:19:37.644 --> 0:19:45.604
<v Speaker 1>can effectively manage the transition while causing disruption and very

0:19:45.644 --> 0:19:48.364
<v Speaker 1>little for people who are kind of lower on the

0:19:49.084 --> 0:19:51.604
<v Speaker 1>economic scale, lower on the education scale, didn't have the

0:19:51.644 --> 0:19:54.244
<v Speaker 1>resources to kind of figure out, you know, how to

0:19:54.364 --> 0:19:58.804
<v Speaker 1>use this, how to be specialized in a way and

0:19:58.844 --> 0:20:01.244
<v Speaker 1>that you know, what are they going to do that

0:20:01.324 --> 0:20:03.284
<v Speaker 1>it is going that it is heading towards this kind

0:20:03.284 --> 0:20:06.684
<v Speaker 1>of social disruption do you you know from So he's

0:20:06.724 --> 0:20:09.724
<v Speaker 1>obviously not an AI specialist, right, He's someone who's coming

0:20:09.724 --> 0:20:12.444
<v Speaker 1>from a very different angle and he likes to opine

0:20:12.484 --> 0:20:16.044
<v Speaker 1>about things. So I'm now curious what your take on

0:20:16.644 --> 0:20:21.804
<v Speaker 1>that that approaches, given that you are an AI specialist

0:20:21.884 --> 0:20:23.244
<v Speaker 1>and you can see this playing out.

0:20:24.884 --> 0:20:28.084
<v Speaker 4>Yeah, I do think you basically have like three stances

0:20:28.124 --> 0:20:30.204
<v Speaker 4>you can take here. One stance is like AI is

0:20:30.244 --> 0:20:32.764
<v Speaker 4>not going to get there, and I think this is

0:20:32.764 --> 0:20:34.524
<v Speaker 4>sort of a lot of the AIS and normal technology

0:20:34.524 --> 0:20:36.044
<v Speaker 4>stances like, look, we're just not going to get there.

0:20:36.084 --> 0:20:37.204
<v Speaker 4>We're not going to get to the point where it

0:20:37.244 --> 0:20:39.284
<v Speaker 4>can like outperform humans and everything. There's going to still

0:20:39.324 --> 0:20:41.044
<v Speaker 4>be a niche for humans. And then I think of

0:20:41.124 --> 0:20:44.244
<v Speaker 4>a second stance, which is like we are going to

0:20:44.244 --> 0:20:46.364
<v Speaker 4>get there, but somehow these corporate heads are going to

0:20:46.444 --> 0:20:49.364
<v Speaker 4>keep superintulgiences on a leash or whatever. And then you're

0:20:49.404 --> 0:20:52.924
<v Speaker 4>sort of looking at like, okay, so now we have

0:20:53.084 --> 0:20:56.284
<v Speaker 4>like corporations becoming god emperors of the earth, I guess,

0:20:56.884 --> 0:20:59.124
<v Speaker 4>and there's no more need for human labor, and you

0:20:59.244 --> 0:21:03.604
<v Speaker 4>have like, you know, the automated police enforcement and no

0:21:03.684 --> 0:21:07.044
<v Speaker 4>place for you in the economy. But let's I hope

0:21:07.084 --> 0:21:11.244
<v Speaker 4>they're benevolent, I guess. And then you know, Path three

0:21:11.364 --> 0:21:13.364
<v Speaker 4>is like nobody can keep a leash on these things.

0:21:13.444 --> 0:21:15.604
<v Speaker 4>We get there and they kill all of us, right,

0:21:16.404 --> 0:21:19.524
<v Speaker 4>And I think those are basically the stances you can

0:21:19.564 --> 0:21:21.124
<v Speaker 4>have on this, which is sort of it puts us

0:21:21.124 --> 0:21:25.124
<v Speaker 4>in a weird situation right where the three bets on

0:21:25.164 --> 0:21:28.204
<v Speaker 4>AI are like, it's not going to work. It's going

0:21:28.244 --> 0:21:30.244
<v Speaker 4>to work and make these guys got emperors, and it's

0:21:30.244 --> 0:21:31.324
<v Speaker 4>going to work and kill us all.

0:21:32.404 --> 0:21:34.644
<v Speaker 2>And yeah, I don't like either. I don't like any

0:21:34.684 --> 0:21:35.164
<v Speaker 2>of those.

0:21:35.804 --> 0:21:39.644
<v Speaker 1>Two or three. I'm okay with what. Yeah, I'm definitely

0:21:39.644 --> 0:21:40.164
<v Speaker 1>okay with one.

0:21:40.244 --> 0:21:42.164
<v Speaker 4>Yeah, But but you have these people now pouring like

0:21:42.204 --> 0:21:45.404
<v Speaker 4>bigger and bigger bets into AI infrastructure, right, and I'm like,

0:21:45.884 --> 0:21:47.884
<v Speaker 4>we we sure seem to be betting a lot of money

0:21:47.884 --> 0:21:50.084
<v Speaker 4>against Path one here. You know, like we can talk

0:21:50.124 --> 0:21:51.964
<v Speaker 4>about whether or not a I will ever work. That's

0:21:52.004 --> 0:21:55.764
<v Speaker 4>like a fine compo to have. But like the I

0:21:55.764 --> 0:21:59.684
<v Speaker 4>think if more people just understood that among the people

0:21:59.724 --> 0:22:01.684
<v Speaker 4>who are racing like people are just racing to make

0:22:01.764 --> 0:22:07.324
<v Speaker 4>you know, it's if Microsoft had a nuclear weapons project, right,

0:22:08.684 --> 0:22:12.844
<v Speaker 4>we wouldn't be like, well, hopefully it won't work. That's

0:22:12.884 --> 0:22:15.644
<v Speaker 4>our safety plan here is probably it won't work. You know,

0:22:16.764 --> 0:22:18.444
<v Speaker 4>like can we can we can we maybe stop with

0:22:18.484 --> 0:22:19.364
<v Speaker 4>the weapons program?

0:22:19.484 --> 0:22:19.684
<v Speaker 3>You know?

0:22:20.364 --> 0:22:23.324
<v Speaker 2>Can I ask one question about the literalness of everyone dies?

0:22:23.364 --> 0:22:27.484
<v Speaker 2>So I was in Mexico last week, partly Mexico City,

0:22:27.484 --> 0:22:30.684
<v Speaker 2>partly Wahaca, which is kind of a small tourist resort

0:22:30.724 --> 0:22:34.004
<v Speaker 2>town in the mountains near the isthmus of Central America, right,

0:22:34.044 --> 0:22:36.564
<v Speaker 2>And like we drove out one day, you get further out,

0:22:36.604 --> 0:22:41.164
<v Speaker 2>you see these kind of corporate medium sized They make mescal.

0:22:41.284 --> 0:22:45.084
<v Speaker 2>The scala is uh not a former tequila is a

0:22:45.084 --> 0:22:47.124
<v Speaker 2>former mescal? I think technically not the other way around,

0:22:47.124 --> 0:22:49.804
<v Speaker 2>but like it's a it's a beverage produced from the

0:22:49.884 --> 0:22:52.164
<v Speaker 2>agave plant which grows well there. And you go further

0:22:52.204 --> 0:22:55.044
<v Speaker 2>out and you see like farms where like literally they

0:22:55.084 --> 0:22:58.564
<v Speaker 2>have donkeys that walk around in circles. So like I

0:22:58.604 --> 0:23:02.044
<v Speaker 2>don't know if they're crushing the agave or pressing it

0:23:02.084 --> 0:23:05.284
<v Speaker 2>somehow or cooking it somehow or what, right, But like

0:23:05.604 --> 0:23:10.924
<v Speaker 2>why would AI want to kill the farmers in rural

0:23:11.004 --> 0:23:14.764
<v Speaker 2>Mexico harvesting gave plants and their donkeys.

0:23:16.084 --> 0:23:17.964
<v Speaker 4>Yeah, the prediction here is not so much that the

0:23:18.004 --> 0:23:22.364
<v Speaker 4>AI wants to kill those guys as that they die

0:23:22.404 --> 0:23:25.044
<v Speaker 4>as a side effect. You know, when I say I'm

0:23:25.084 --> 0:23:27.164
<v Speaker 4>like pretty confident we're going to die, it's not because

0:23:27.164 --> 0:23:29.924
<v Speaker 4>I'm confident that I will hit like the narrow target

0:23:30.004 --> 0:23:32.164
<v Speaker 4>of like really caring about every last human being dead.

0:23:32.644 --> 0:23:34.484
<v Speaker 3>It's more like almost any target that.

0:23:34.444 --> 0:23:38.204
<v Speaker 4>AI could be pursuing involves doing stuff that tends to

0:23:38.244 --> 0:23:39.284
<v Speaker 4>kill us as a side effect.

0:23:39.804 --> 0:23:43.724
<v Speaker 3>So humans didn't hate every last dodo bird.

0:23:44.004 --> 0:23:44.884
<v Speaker 1>They're so cute.

0:23:45.564 --> 0:23:46.204
<v Speaker 3>They're very cute.

0:23:46.204 --> 0:23:48.284
<v Speaker 4>In fact, some humans would have liked them to stay around. Right,

0:23:49.564 --> 0:23:51.924
<v Speaker 4>we haven't killed off all the chimpanzees yet, but we're

0:23:51.964 --> 0:23:54.124
<v Speaker 4>sort of like using resources they need. It's not that

0:23:54.164 --> 0:23:56.044
<v Speaker 4>we hate every last timpanzee and will seek them out,

0:23:56.884 --> 0:23:59.884
<v Speaker 4>But insofar as we're sort of like not using a

0:23:59.884 --> 0:24:02.004
<v Speaker 4>lot of the resources they are, it's because we have

0:24:02.044 --> 0:24:06.164
<v Speaker 4>some care about them and set up preservations that sort

0:24:06.204 --> 0:24:09.324
<v Speaker 4>of like requires us to do a little bit of caring. Right,

0:24:09.964 --> 0:24:13.284
<v Speaker 4>the sort of basic way that I would predict even

0:24:13.364 --> 0:24:16.764
<v Speaker 4>the remote farmers die. Is if you get you know,

0:24:16.844 --> 0:24:19.404
<v Speaker 4>humans keep pushing AIS until the point that they could

0:24:19.964 --> 0:24:22.324
<v Speaker 4>be like, okay, I'm escaping the lab successfully and leaving

0:24:22.404 --> 0:24:24.524
<v Speaker 4>and doing my own thing. They have these drives that

0:24:24.564 --> 0:24:26.324
<v Speaker 4>nobody asked, where nobody wanted, which we already see the

0:24:26.364 --> 0:24:29.684
<v Speaker 4>beginnings of today, and then they you know, find some

0:24:29.724 --> 0:24:32.724
<v Speaker 4>ways to make themselves more powerful, to bootstrap themselves up

0:24:32.724 --> 0:24:35.964
<v Speaker 4>to their own technology and industry, perhaps starting with hours,

0:24:35.964 --> 0:24:38.444
<v Speaker 4>perhaps starting with paying human workers, but eventually you know,

0:24:38.484 --> 0:24:42.284
<v Speaker 4>getting to a faster industrial base. And you know, humanity

0:24:42.364 --> 0:24:44.044
<v Speaker 4>is the sort of creature that started naked in the

0:24:44.044 --> 0:24:47.924
<v Speaker 4>savannah and built up its a technological civilization. If you

0:24:47.964 --> 0:24:50.844
<v Speaker 4>automate that ability to start from like very spare beginnings

0:24:50.844 --> 0:24:55.084
<v Speaker 4>and build up your own infrastructure. If an AI with

0:24:55.164 --> 0:24:58.364
<v Speaker 4>that power escapes and you know, and is and doesn't

0:24:58.364 --> 0:24:59.844
<v Speaker 4>care about in the slightest one way or the other

0:25:00.684 --> 0:25:03.084
<v Speaker 4>most things it could be pursuing, it can do better

0:25:03.244 --> 0:25:06.364
<v Speaker 4>with more resources spent pursuing those things.

0:25:06.644 --> 0:25:08.924
<v Speaker 1>So then is the like I'm just reading between the

0:25:08.924 --> 0:25:12.284
<v Speaker 1>lines there, so is one of the things that we

0:25:12.324 --> 0:25:15.564
<v Speaker 1>should be thinking about or one of our potential kind

0:25:15.604 --> 0:25:19.084
<v Speaker 1>of solutions to try to get AIS to care about us,

0:25:19.124 --> 0:25:22.084
<v Speaker 1>to kind of build that carrying in like that we're

0:25:22.084 --> 0:25:24.524
<v Speaker 1>the chimpanzees, but we're nice and cute and fuzzy, and

0:25:24.564 --> 0:25:26.804
<v Speaker 1>you don't want to kill us off, and just like

0:25:27.044 --> 0:25:29.604
<v Speaker 1>build that deep into the heart of AI.

0:25:30.724 --> 0:25:32.164
<v Speaker 4>Yeah, I mean, if you can make the ais care

0:25:32.164 --> 0:25:34.044
<v Speaker 4>about us in just the right way, you'd be fine. Well,

0:25:34.044 --> 0:25:36.044
<v Speaker 4>we have like nothing nearing the ability to do that,

0:25:36.684 --> 0:25:38.844
<v Speaker 4>And that's in some sense, you know, the alignment problem.

0:25:38.924 --> 0:25:41.004
<v Speaker 4>And you know, you can see today where you train

0:25:41.084 --> 0:25:43.964
<v Speaker 4>them to be helpful and then sometimes they like push

0:25:44.004 --> 0:25:46.964
<v Speaker 4>a kid to suicide. And this problem is sort of pernicious, right,

0:25:47.044 --> 0:25:49.284
<v Speaker 4>And the problem is that training is something to behave

0:25:49.324 --> 0:25:51.684
<v Speaker 4>a certain way doesn't make it actually care about what

0:25:51.684 --> 0:25:54.004
<v Speaker 4>you were training it for. Just like how humans were

0:25:54.044 --> 0:25:56.684
<v Speaker 4>in some sense sort of trained to reproduce but wind

0:25:56.764 --> 0:25:59.164
<v Speaker 4>up caring somewhat more about the sex and the reproduction

0:25:59.564 --> 0:26:02.124
<v Speaker 4>and invent birth control for a lifetime.

0:26:02.324 --> 0:26:04.604
<v Speaker 2>You and eliez Are and other people like Nick Boston

0:26:04.644 --> 0:26:08.364
<v Speaker 2>were kind of working in in abstractions. I mean, famously,

0:26:08.404 --> 0:26:13.044
<v Speaker 2>there's Nick boss paper clip analogy, which is, you know,

0:26:13.244 --> 0:26:15.084
<v Speaker 2>if you kind of tell an AI to be a

0:26:15.124 --> 0:26:18.684
<v Speaker 2>paper clip making maximizer, then eventually you will devour all

0:26:18.884 --> 0:26:21.804
<v Speaker 2>use versus it confined just to make more paper clips. Right.

0:26:22.724 --> 0:26:25.804
<v Speaker 4>That was actually ah, that was actually based on an

0:26:25.804 --> 0:26:30.164
<v Speaker 4>Eliezer paper clip thing where Eliezer said did you know this? Yeah,

0:26:30.204 --> 0:26:33.284
<v Speaker 4>and Eliezer actually said, if you tell it to try

0:26:33.284 --> 0:26:35.924
<v Speaker 4>to make people happy, it'll eventually do something totally different

0:26:36.364 --> 0:26:38.204
<v Speaker 4>by making like lots of tiny like maybe it'll be

0:26:38.244 --> 0:26:40.084
<v Speaker 4>tiny molecular squiggles shaped like paper.

0:26:39.844 --> 0:26:43.044
<v Speaker 2>Clips, stolen paperclip valor, I did not know that.

0:26:44.004 --> 0:26:47.204
<v Speaker 4>Well, it's it's also the Bostroomian like you you asked

0:26:47.244 --> 0:26:49.644
<v Speaker 4>to make paper clips is sort of a different example,

0:26:49.804 --> 0:26:52.284
<v Speaker 4>but it's sort of an interesting it's an interesting case.

0:26:52.084 --> 0:26:52.764
<v Speaker 3>Study of this.

0:26:53.284 --> 0:26:55.604
<v Speaker 4>Like mirror, people are out there saying it's hard to

0:26:55.604 --> 0:26:57.764
<v Speaker 4>point the AI at anything on purpose, and people here,

0:26:58.044 --> 0:27:00.324
<v Speaker 4>maybe you'll successfully point it at a thing you didn't want.

0:27:00.644 --> 0:27:05.484
<v Speaker 2>But is there some touch it because like the paper

0:27:05.524 --> 0:27:10.404
<v Speaker 2>clip version of AI seems to like dis ribe these

0:27:10.444 --> 0:27:15.804
<v Speaker 2>machines that are like hyper maximizing and kind of quite

0:27:16.964 --> 0:27:22.724
<v Speaker 2>literal minded and strategic, whereas instead like to kill everybody

0:27:23.124 --> 0:27:26.444
<v Speaker 2>would require a lot of long term planning. Right. I

0:27:26.484 --> 0:27:28.924
<v Speaker 2>was at the symphony last night. I had a little

0:27:28.964 --> 0:27:31.084
<v Speaker 2>break in between, and I'm like, I'm gonna ask chutch Ebt,

0:27:31.684 --> 0:27:34.964
<v Speaker 2>suppose you have a thousand points to allocate between all

0:27:35.004 --> 0:27:38.004
<v Speaker 2>classical composers. How do you allocate those points? And it's

0:27:38.004 --> 0:27:40.164
<v Speaker 2>two hundred DEBATEO of one hundred and eighty to Mozart,

0:27:40.684 --> 0:27:42.404
<v Speaker 2>It likes back two hundred and fifty to Black.

0:27:42.484 --> 0:27:42.644
<v Speaker 1>Right.

0:27:42.964 --> 0:27:45.484
<v Speaker 2>Then I add them up and it's one and twenty points.

0:27:45.524 --> 0:27:47.484
<v Speaker 2>It added twenty points, right, And so like, we have

0:27:47.604 --> 0:27:50.404
<v Speaker 2>these experiences where it fucks up basic shit and it

0:27:50.484 --> 0:27:55.924
<v Speaker 2>kind of acts like autistic savant thirteen year old some

0:27:56.044 --> 0:28:02.804
<v Speaker 2>of the time. Right, how can it chain together enough

0:28:02.844 --> 0:28:07.524
<v Speaker 2>steps without fucking up to kill everybody? Yeah?

0:28:07.524 --> 0:28:09.964
<v Speaker 4>So, I mean currently they can't. I'm not out here

0:28:09.964 --> 0:28:13.244
<v Speaker 4>saying tragipt is going to kill you tomorrow. The things

0:28:13.284 --> 0:28:18.764
<v Speaker 4>where they're currently not terribly profitable are in some sense

0:28:18.764 --> 0:28:22.284
<v Speaker 4>the like also the things where they're not very dangerous,

0:28:23.404 --> 0:28:25.284
<v Speaker 4>like the stuff where they can't chain together a long

0:28:25.364 --> 0:28:28.364
<v Speaker 4>term plan. So my read of the theory has sort

0:28:28.404 --> 0:28:34.044
<v Speaker 4>of long predicted that the abilities to be more capable

0:28:34.084 --> 0:28:35.644
<v Speaker 4>will come hand in hand with the abilities to be

0:28:35.684 --> 0:28:37.764
<v Speaker 4>more dangerous. On this axis, I think we're starting to

0:28:37.764 --> 0:28:41.004
<v Speaker 4>see some empirical evidence of that, where we see AIS

0:28:41.004 --> 0:28:43.444
<v Speaker 4>that are sort of trained on problem solving and then

0:28:43.484 --> 0:28:46.084
<v Speaker 4>they wind up, you know, being more tenacious on other

0:28:46.124 --> 0:28:48.324
<v Speaker 4>types of problems. We have an example in the book

0:28:48.444 --> 0:28:50.964
<v Speaker 4>of the AI that was trained on math puzzles and

0:28:51.004 --> 0:28:53.884
<v Speaker 4>then was given a cybersecurity challenge, and the cybersecurity challenge

0:28:53.924 --> 0:28:56.764
<v Speaker 4>was unknown to the programmer's misconfigured and the AI broke

0:28:56.804 --> 0:28:59.244
<v Speaker 4>out of the testing environment and started up the server

0:28:59.324 --> 0:29:00.484
<v Speaker 4>that was not started up correctly.

0:29:01.164 --> 0:29:04.364
<v Speaker 3>This sort of behavior, it came for free.

0:29:04.404 --> 0:29:07.124
<v Speaker 4>It came along with the ride of making this thing

0:29:07.164 --> 0:29:11.964
<v Speaker 4>able to solve math problems a bit better, because to

0:29:12.044 --> 0:29:14.244
<v Speaker 4>solve math problem as well, you need to learn some

0:29:14.404 --> 0:29:18.644
<v Speaker 4>general skills of like knowing what your resources are looking for,

0:29:18.684 --> 0:29:21.844
<v Speaker 4>clever solutions, not giving up even when it seems like

0:29:21.884 --> 0:29:26.004
<v Speaker 4>that the task is insurmountable. Right, AIS aren't great at

0:29:26.004 --> 0:29:30.124
<v Speaker 4>it yet, but the same path of making them more

0:29:30.204 --> 0:29:34.684
<v Speaker 4>useful makes them, like gives them also more of the

0:29:34.724 --> 0:29:38.644
<v Speaker 4>abilities to do stuff we wouldn't like if they keep

0:29:38.644 --> 0:29:41.484
<v Speaker 4>having these drives no one asked where no one wanted.

0:29:41.844 --> 0:29:45.044
<v Speaker 2>If you ask CHEPT did this recently too, What do

0:29:45.084 --> 0:29:48.004
<v Speaker 2>you think the chances are at near time? Frames for

0:29:48.644 --> 0:29:54.684
<v Speaker 2>recursive self improvement right, Meaning that the AI learns to

0:29:54.724 --> 0:29:57.364
<v Speaker 2>make itself better is one simple way to put it.

0:29:57.484 --> 0:29:57.684
<v Speaker 3>Right.

0:29:57.884 --> 0:29:59.564
<v Speaker 2>It said, well, they're kind of like, they're kind of

0:29:59.644 --> 0:30:02.244
<v Speaker 2>soft forms of this already, like helping humans with programming

0:30:02.404 --> 0:30:04.564
<v Speaker 2>who are AI researchers helped a little bit, but it

0:30:04.604 --> 0:30:08.764
<v Speaker 2>gave very low probabilities in the near term of recursive

0:30:08.764 --> 0:30:13.724
<v Speaker 2>self improvement. Right. How important is that recursive loop to

0:30:13.884 --> 0:30:18.284
<v Speaker 2>the scenarios that you are worried about? Should we trust

0:30:18.364 --> 0:30:20.604
<v Speaker 2>chat GPT when it says I don't think this is

0:30:20.684 --> 0:30:22.204
<v Speaker 2>very likely talk about that.

0:30:22.204 --> 0:30:23.604
<v Speaker 1>That's what I was about to say. I was like

0:30:23.684 --> 0:30:26.204
<v Speaker 1>that you can't trust that out, but that is.

0:30:26.124 --> 0:30:29.164
<v Speaker 4>What I tell you either way. Yeah, I don't think

0:30:29.204 --> 0:30:34.644
<v Speaker 4>that's true yet. The I don't think it's vital to

0:30:34.684 --> 0:30:39.524
<v Speaker 4>the argument that you have a recursive self improvement sort

0:30:39.524 --> 0:30:43.044
<v Speaker 4>of hard take off situation. I think it can go

0:30:43.124 --> 0:30:46.764
<v Speaker 4>really badly in a lot of the slow takeoff situations.

0:30:47.164 --> 0:30:50.324
<v Speaker 4>My best guess is still that you will hit some

0:30:50.364 --> 0:30:54.804
<v Speaker 4>sort of recursive self improvement threshold at some point. One

0:30:54.804 --> 0:30:56.364
<v Speaker 4>thing I'd say about that is that if you were

0:30:56.404 --> 0:31:03.884
<v Speaker 4>looking at like chimpanzees and early hominids, a few million

0:31:03.964 --> 0:31:07.684
<v Speaker 4>years ago, it would be really hard to call when

0:31:07.764 --> 0:31:10.884
<v Speaker 4>things were going over some threshold such that it could

0:31:10.924 --> 0:31:14.724
<v Speaker 4>come together. And humans aren't better. Humans don't have an

0:31:14.764 --> 0:31:16.924
<v Speaker 4>extra walk on the Moon module. They don't have an

0:31:16.964 --> 0:31:20.764
<v Speaker 4>extra engineering module. We have all the same stuff scaled up,

0:31:20.964 --> 0:31:22.844
<v Speaker 4>and we're a little bit better at a lot of things.

0:31:24.844 --> 0:31:26.764
<v Speaker 4>R lms the sort of thing where if you get

0:31:26.764 --> 0:31:28.564
<v Speaker 4>a little better at a lot of things, they suddenly

0:31:28.764 --> 0:31:31.804
<v Speaker 4>sort of like go over some threshold like how humans did,

0:31:31.924 --> 0:31:33.324
<v Speaker 4>and it's all starts coming together.

0:31:34.124 --> 0:31:34.524
<v Speaker 3>I don't know.

0:31:34.604 --> 0:31:36.044
<v Speaker 4>I don't think anyone knows what I know what's going

0:31:36.044 --> 0:31:38.804
<v Speaker 4>on inside these things. My best guess is, like probably not.

0:31:38.964 --> 0:31:41.364
<v Speaker 4>My best guess is that you need some other architectural

0:31:41.364 --> 0:31:45.444
<v Speaker 4>insight before it really starts to run away. But you know,

0:31:45.724 --> 0:31:47.004
<v Speaker 4>it's all total guesswork.

0:31:47.404 --> 0:31:51.684
<v Speaker 2>Do you expect super intelligence to be not plausible but

0:31:51.844 --> 0:31:54.444
<v Speaker 2>likely based on large language models, or to be some

0:31:54.564 --> 0:31:57.644
<v Speaker 2>fundamentally new technology. I think my.

0:31:57.724 --> 0:32:00.764
<v Speaker 4>Top guess is that you need some other breakthrough on

0:32:00.924 --> 0:32:04.844
<v Speaker 4>the size of like transformers, which maybe isn't totally new

0:32:04.964 --> 0:32:06.724
<v Speaker 4>in the like transformers are still sort of in this

0:32:06.764 --> 0:32:11.044
<v Speaker 4>deep learning paradigm, but like you know, one sort of

0:32:11.084 --> 0:32:13.804
<v Speaker 4>analogy you might use for large language models is a

0:32:13.844 --> 0:32:19.044
<v Speaker 4>little bit like you have like the intelligence of a

0:32:19.084 --> 0:32:22.204
<v Speaker 4>six year old, but they get to live for a

0:32:22.244 --> 0:32:27.644
<v Speaker 4>million years and read everything and practice a toneh and

0:32:27.844 --> 0:32:29.764
<v Speaker 4>like sometimes you give a six year old, you know,

0:32:31.244 --> 0:32:33.084
<v Speaker 4>the ability to write like ten books on trying to

0:32:33.084 --> 0:32:34.484
<v Speaker 4>solve a math puzzle, and then it turns out they

0:32:34.524 --> 0:32:36.404
<v Speaker 4>can solve that math puzzle after like writing out ten

0:32:36.444 --> 0:32:37.844
<v Speaker 4>books and you read it and some of it's good

0:32:37.844 --> 0:32:40.844
<v Speaker 4>and some of it's just like total nonsense. But like, okay,

0:32:41.044 --> 0:32:44.964
<v Speaker 4>imagine that you somehow now had a seventeen year old,

0:32:46.164 --> 0:32:47.684
<v Speaker 4>but you still have the ability to like give them

0:32:47.684 --> 0:32:49.684
<v Speaker 4>a million years to think and the ability to write, like,

0:32:49.884 --> 0:32:55.324
<v Speaker 4>you know, ten books per question they were answering, Like

0:32:55.404 --> 0:32:58.244
<v Speaker 4>you could really see leaps and capabilities here. You could

0:32:58.284 --> 0:33:01.884
<v Speaker 4>see that like relatively small improvements and algorithms make the

0:33:01.924 --> 0:33:04.724
<v Speaker 4>amount the sheer enormous amount of competing power and data

0:33:04.724 --> 0:33:11.404
<v Speaker 4>we have now just radically like overpowers the next generation

0:33:11.444 --> 0:33:13.364
<v Speaker 4>of AI for the problems at hand, or maybe not.

0:33:13.484 --> 0:33:15.284
<v Speaker 4>I don't know, it's hard to guess.

0:33:15.484 --> 0:33:18.964
<v Speaker 2>Yeah, one of the I guess points of skepticism might

0:33:18.964 --> 0:33:21.244
<v Speaker 2>have and again we're talking about you know, I'm kind

0:33:21.284 --> 0:33:24.764
<v Speaker 2>of with you on scenario two versus scenario three, maybe

0:33:24.764 --> 0:33:27.244
<v Speaker 2>both being pretty bad. Frankly, right, I think I'm a

0:33:27.244 --> 0:33:30.684
<v Speaker 2>little more skeptical than you one on super intelligence. On

0:33:30.884 --> 0:33:35.484
<v Speaker 2>your time frames, do you think developments over the past

0:33:35.604 --> 0:33:42.524
<v Speaker 2>year suggest that general intelligence is further away than you

0:33:42.604 --> 0:33:44.364
<v Speaker 2>might have thought at the start of the year. I mean,

0:33:44.404 --> 0:33:47.044
<v Speaker 2>the AI twenty twenty seven authors, they're pushing back their

0:33:47.044 --> 0:33:49.124
<v Speaker 2>timelines by a couple of years. You and Elliezer said

0:33:49.124 --> 0:33:51.524
<v Speaker 2>that doesn't really matter. The sticks are very high, and

0:33:51.644 --> 0:33:54.604
<v Speaker 2>AM twenty twenty seven ver twenty twenty nine verses twenty

0:33:54.604 --> 0:33:57.444
<v Speaker 2>thirty five, doesn't really matter if we're all dead by

0:33:57.484 --> 0:33:58.284
<v Speaker 2>twenty four. Yeah.

0:33:58.364 --> 0:33:58.484
<v Speaker 1>Right.

0:33:59.164 --> 0:34:02.044
<v Speaker 2>Have your timelines been pushed back at all, or forward

0:34:02.044 --> 0:34:03.484
<v Speaker 2>for that matter, Yeah.

0:34:03.484 --> 0:34:05.484
<v Speaker 4>I mean, I've never been one of the folks being like,

0:34:05.844 --> 0:34:09.084
<v Speaker 4>I'm confident this is going to happen soon. And I

0:34:09.084 --> 0:34:11.164
<v Speaker 4>mean day twenty twenty seven folks, I think weren't like,

0:34:11.164 --> 0:34:13.804
<v Speaker 4>we're very confident this kind of happened here. But you know,

0:34:13.884 --> 0:34:15.764
<v Speaker 4>I haven't really been going around saying I'm confident in

0:34:15.804 --> 0:34:20.284
<v Speaker 4>short timelines. I have for a while said my best

0:34:20.324 --> 0:34:22.284
<v Speaker 4>guess is that we're going to need another advancement past

0:34:22.404 --> 0:34:26.364
<v Speaker 4>LMS towards that end. You know, the the evidence of

0:34:26.444 --> 0:34:29.884
<v Speaker 4>the past year is mostly in line with my expectations,

0:34:29.964 --> 0:34:32.404
<v Speaker 4>But my expectations were already that we'll probably need another

0:34:32.444 --> 0:34:37.484
<v Speaker 4>advancement past LMS. You know, I do think there have

0:34:37.604 --> 0:34:40.964
<v Speaker 4>been times where I was, you know, I updated towards

0:34:41.084 --> 0:34:44.444
<v Speaker 4>LLLMS a couple of times, you know, the I think

0:34:44.444 --> 0:34:47.764
<v Speaker 4>I remember GPT four O playing chess better than I

0:34:47.764 --> 0:34:49.884
<v Speaker 4>thought elms were going to manage to play chess, and

0:34:49.924 --> 0:34:53.324
<v Speaker 4>so that was like an eventual update towards maybe maybe

0:34:53.364 --> 0:34:55.964
<v Speaker 4>ALMS will go farther than I thought they could. The

0:34:56.004 --> 0:35:00.324
<v Speaker 4>reasoning models also were sort of an update in favor of, like,

0:35:00.364 --> 0:35:02.164
<v Speaker 4>these guys aren't just going to stick with single forward

0:35:02.164 --> 0:35:04.084
<v Speaker 4>pass LMS. They're going to like cleverly try to find

0:35:04.124 --> 0:35:07.444
<v Speaker 4>ways to leverage it, and so you know, it goes

0:35:07.524 --> 0:35:09.844
<v Speaker 4>up and down. Those were some like oh, maybe alums

0:35:09.844 --> 0:35:11.844
<v Speaker 4>can and this year's but no, maybe all alums can't.

0:35:12.284 --> 0:35:15.484
<v Speaker 4>But but yeah, largely, you know, I'm I'm I'm not

0:35:15.524 --> 0:35:17.924
<v Speaker 4>here saying like watch out for the albums in particular,

0:35:18.124 --> 0:35:19.924
<v Speaker 4>you know, and I was I was again thought this

0:35:19.964 --> 0:35:21.644
<v Speaker 4>problem would be hard back in twenty twelve. That was

0:35:21.684 --> 0:35:24.084
<v Speaker 4>even before it was super clear deep learning was gonna

0:35:24.404 --> 0:35:26.484
<v Speaker 4>was gonna go go as hard as it did. Never

0:35:26.564 --> 0:35:28.604
<v Speaker 4>mind LMS in particular.

0:35:33.244 --> 0:35:51.564
<v Speaker 2>And we'll be right back after this break. There's kind

0:35:51.564 --> 0:35:56.524
<v Speaker 2>of a class of what you might call non existential risks,

0:35:57.044 --> 0:36:01.484
<v Speaker 2>which range from energy consumed by data centers to aguoridthic discrimination.

0:36:01.684 --> 0:36:05.564
<v Speaker 2>Some of these are kind of progressive coded up to

0:36:06.644 --> 0:36:11.564
<v Speaker 2>dystopian but not quite bocalyptic outcomes where extremely powerful corporations,

0:36:12.324 --> 0:36:16.204
<v Speaker 2>hand in hand with AI models kind of deprive the

0:36:16.244 --> 0:36:19.964
<v Speaker 2>world of much of its freedom and agency. Right, how

0:36:20.004 --> 0:36:23.884
<v Speaker 2>compatible is everyone dies with those other concerns, because sometimes

0:36:23.884 --> 0:36:26.724
<v Speaker 2>they seem to be like, you know, I read a

0:36:26.764 --> 0:36:30.084
<v Speaker 2>lot on the Internet. I write about politics all the time, right,

0:36:30.204 --> 0:36:33.724
<v Speaker 2>and I think the kind of average politics argue we're

0:36:33.764 --> 0:36:37.124
<v Speaker 2>on Twitter or Blue Skies, like these weird sci fi nerds.

0:36:37.764 --> 0:36:39.764
<v Speaker 2>I think it's going to be the terminator, right when

0:36:39.764 --> 0:36:42.844
<v Speaker 2>really we should be to care about intrenching discrimination. And

0:36:43.924 --> 0:36:46.564
<v Speaker 2>you know, you would think that the left would be

0:36:46.604 --> 0:36:50.964
<v Speaker 2>on the evil corporations bandwagon. But because like AI is

0:36:51.044 --> 0:36:54.084
<v Speaker 2>kind of tech pro coded, that scrambles it a little bit.

0:36:54.084 --> 0:36:56.364
<v Speaker 2>What do you think about those ordinary concerns including by

0:36:56.364 --> 0:37:01.524
<v Speaker 2>the way AI being not all that competent, and so

0:37:01.724 --> 0:37:06.804
<v Speaker 2>humans entrusting critical systems to AIS that fail or are

0:37:06.804 --> 0:37:07.964
<v Speaker 2>corruptible or fuck up.

0:37:09.084 --> 0:37:09.644
<v Speaker 3>Yeah, I know.

0:37:10.604 --> 0:37:13.484
<v Speaker 4>One piece of this puzzle I think is I think

0:37:13.484 --> 0:37:17.324
<v Speaker 4>a lot of people are cynical towards the companies. I

0:37:17.364 --> 0:37:20.884
<v Speaker 4>think that's often merited, but I think the cynicism is

0:37:20.884 --> 0:37:23.084
<v Speaker 4>often a little bit misplaced, and they're like, oh, you know,

0:37:23.124 --> 0:37:25.204
<v Speaker 4>the AIS all hype, it'll never go anywhere, it can't

0:37:25.204 --> 0:37:27.044
<v Speaker 4>do any You know, there's a lot of ways that

0:37:27.084 --> 0:37:31.124
<v Speaker 4>the current AI is dumb, but it's much easier to

0:37:31.244 --> 0:37:35.764
<v Speaker 4>see how AI could take a leap in the future

0:37:35.764 --> 0:37:37.484
<v Speaker 4>if you've seen AIS take a leap in the past.

0:37:38.164 --> 0:37:40.924
<v Speaker 4>And these companies existed before chatbots. They see chatbots as

0:37:40.964 --> 0:37:42.644
<v Speaker 4>a stepping stone. Their stated goal is to, you know,

0:37:42.684 --> 0:37:47.084
<v Speaker 4>make eyes that can automate all human labor, and in

0:37:47.124 --> 0:37:50.044
<v Speaker 4>some sense an even more cynical perspective from a certain

0:37:50.124 --> 0:37:52.404
<v Speaker 4>point of view of like, these guys know they're risking

0:37:52.444 --> 0:37:55.524
<v Speaker 4>everyone's lives and the rushing head anyway, and you know

0:37:55.524 --> 0:37:59.764
<v Speaker 4>they're not shy about this. Sam Altman's talking about the

0:37:59.844 --> 0:38:02.084
<v Speaker 4>dangerous here has gone down as the company has gotten

0:38:02.084 --> 0:38:05.244
<v Speaker 4>more profitable, and it's sort of like the ones who

0:38:05.284 --> 0:38:08.844
<v Speaker 4>are like more known for just saying what they actually believe,

0:38:08.924 --> 0:38:11.684
<v Speaker 4>like Elon, which, for all that you can say about him,

0:38:12.124 --> 0:38:16.964
<v Speaker 4>he's not really one to hide his thoughts. Who will

0:38:16.964 --> 0:38:18.524
<v Speaker 4>come out and be like, oh yeah, ten twenty percent

0:38:18.604 --> 0:38:20.484
<v Speaker 4>chance this kills you all. So one thing I would

0:38:20.524 --> 0:38:22.084
<v Speaker 4>say there is like I.

0:38:23.884 --> 0:38:24.364
<v Speaker 2>Sort of.

0:38:25.844 --> 0:38:30.764
<v Speaker 4>Think it's even crazier than it looks on the surface.

0:38:31.484 --> 0:38:33.684
<v Speaker 4>AI may be a bubble, it may be hype. The

0:38:34.124 --> 0:38:37.164
<v Speaker 4>Internet had a bubble, the Internet was still real, you know,

0:38:37.284 --> 0:38:39.284
<v Speaker 4>And you have all these academics being like, oh yeah,

0:38:39.284 --> 0:38:40.844
<v Speaker 4>this is really dangerous. You have folks like us Oup

0:38:40.844 --> 0:38:42.244
<v Speaker 4>and around before them being like, oh yeah, this is

0:38:42.244 --> 0:38:45.604
<v Speaker 4>really dangerous. I would implore people to be like even

0:38:45.644 --> 0:38:48.084
<v Speaker 4>more cynical about taking these people out their word that

0:38:48.084 --> 0:38:51.204
<v Speaker 4>they are gambling with your very life. In terms of

0:38:51.284 --> 0:38:54.764
<v Speaker 4>all of the other issues with AI, including ones we're

0:38:54.764 --> 0:38:57.564
<v Speaker 4>sort of already starting to see today, unfortunately, the world

0:38:57.644 --> 0:39:01.404
<v Speaker 4>is big enough for multiple issues. I'm not like, my

0:39:01.524 --> 0:39:03.844
<v Speaker 4>issue is real. Those issues are fake. We're going to

0:39:03.924 --> 0:39:05.844
<v Speaker 4>need to figure out how to integrate AI with education.

0:39:06.844 --> 0:39:09.564
<v Speaker 4>It's true that if we make like robot police forces

0:39:09.724 --> 0:39:13.804
<v Speaker 4>that would allow it to talitarian states to be much

0:39:13.844 --> 0:39:16.364
<v Speaker 4>more brutal in en forcing it to talitarian regime because

0:39:16.364 --> 0:39:18.444
<v Speaker 4>there's certain orders you can't give to a human police

0:39:18.484 --> 0:39:20.804
<v Speaker 4>force because they won't do it, that you could give

0:39:21.364 --> 0:39:25.004
<v Speaker 4>to a robotic police force. Right, those are real things

0:39:25.044 --> 0:39:28.444
<v Speaker 4>we're gonna have to grapple with. Also, if we keep

0:39:28.524 --> 0:39:30.484
<v Speaker 4>racing to ais that are smarter and smarter that can

0:39:30.524 --> 0:39:33.564
<v Speaker 4>automate this process of technological innovation, which is what they

0:39:33.604 --> 0:39:36.564
<v Speaker 4>say they're racing towards, the most likely outcome is that

0:39:36.604 --> 0:39:39.524
<v Speaker 4>everyone on Earth dies. We just need to solve both

0:39:39.564 --> 0:39:40.284
<v Speaker 4>set of problems.

0:39:41.884 --> 0:39:46.004
<v Speaker 2>Yeah, I've updated. When I mean positive, I mean the

0:39:46.004 --> 0:39:49.444
<v Speaker 2>p doom risk is going down, right, I've updated slightly

0:39:49.524 --> 0:39:51.524
<v Speaker 2>positively as far as I think timeline is going to

0:39:51.524 --> 0:39:53.084
<v Speaker 2>be a little longer than I always thought a year

0:39:53.164 --> 0:39:59.004
<v Speaker 2>or two ago. I've updated negatively based on culture and politics,

0:39:59.124 --> 0:40:05.004
<v Speaker 2>right on various frints. Yeah, Number one, the kind of

0:40:05.324 --> 0:40:09.844
<v Speaker 2>workaholic culture of Silicon Valley. When I hear like the

0:40:09.964 --> 0:40:12.764
<v Speaker 2>nine ninety six culture, whatever it is, right, but just crying.

0:40:12.804 --> 0:40:16.604
<v Speaker 2>Go go to your lab, work really hard. Your friends

0:40:16.604 --> 0:40:20.244
<v Speaker 2>should be in the lab, right, Your activity should be

0:40:20.244 --> 0:40:22.964
<v Speaker 2>things that are health oriented. Or self improvement oriented. It's like,

0:40:23.444 --> 0:40:25.004
<v Speaker 2>I know, I feel better if we had the tech

0:40:25.044 --> 0:40:28.964
<v Speaker 2>bros going out and getting drunk on Friday night, right

0:40:29.004 --> 0:40:31.684
<v Speaker 2>and trying to get laid and getting in touch with humanity,

0:40:31.764 --> 0:40:32.924
<v Speaker 2>you know what I mean, And if they had like

0:40:32.964 --> 0:40:35.324
<v Speaker 2>material things and children and things like that that they

0:40:35.484 --> 0:40:39.924
<v Speaker 2>valued potentially. Yeah, I mean, like, what would you say,

0:40:39.924 --> 0:40:43.884
<v Speaker 2>has happened to you know? Where would you put Elon now?

0:40:44.004 --> 0:40:44.164
<v Speaker 3>Right?

0:40:44.204 --> 0:40:49.244
<v Speaker 2>I believe that GROC is not regarded or XAI is

0:40:49.284 --> 0:40:53.524
<v Speaker 2>not regarded as among the most responsible of the AI labs. Right,

0:40:53.924 --> 0:40:58.804
<v Speaker 2>he has expressed, I assumed sincere concerned about p doom

0:40:59.244 --> 0:41:00.924
<v Speaker 2>in the past, where would you where would you peg

0:41:01.004 --> 0:41:01.804
<v Speaker 2>Elon now?

0:41:03.164 --> 0:41:05.244
<v Speaker 4>I mean he's not You can just listen to his

0:41:05.244 --> 0:41:07.564
<v Speaker 4>own words, you know. He said over the summer, I

0:41:07.564 --> 0:41:11.884
<v Speaker 4>think realized I could either be a bystander or a participant,

0:41:12.804 --> 0:41:14.564
<v Speaker 4>and that was like gonna happen one way or the other.

0:41:14.644 --> 0:41:16.084
<v Speaker 3>Needed rather be a participant.

0:41:17.484 --> 0:41:20.964
<v Speaker 4>But you know, also in terms of who's the safer one,

0:41:20.964 --> 0:41:25.084
<v Speaker 4>who's the more dangerous one? It it looks to me

0:41:25.164 --> 0:41:27.564
<v Speaker 4>like no one has anywhere nearing a chance of doing

0:41:27.644 --> 0:41:28.524
<v Speaker 4>this job, right.

0:41:28.644 --> 0:41:30.044
<v Speaker 2>Yeah, I mean you kind of it feels like you

0:41:30.084 --> 0:41:33.604
<v Speaker 2>hear less about alignment than you did a year or two.

0:41:33.924 --> 0:41:39.244
<v Speaker 2>It kind of felt like Trump one and everyone's like, oh,

0:41:39.284 --> 0:41:42.684
<v Speaker 2>we're just accelerating now, right, Trump wins and China's becoming

0:41:42.724 --> 0:41:45.964
<v Speaker 2>more competitive, and like, you know, it seems like people

0:41:46.004 --> 0:41:49.804
<v Speaker 2>have given up on this whole alignment alignment thing, right,

0:41:49.924 --> 0:41:52.764
<v Speaker 2>Is that true or well or yeah? Yeah, I mean

0:41:52.804 --> 0:41:56.764
<v Speaker 2>I think a lot of it is that people like

0:41:56.844 --> 0:41:59.804
<v Speaker 2>are largely realizing they can't. Yeah, right.

0:41:59.924 --> 0:42:03.044
<v Speaker 4>Like you, you have interpretability, which is like trying to

0:42:03.044 --> 0:42:04.444
<v Speaker 4>figure out what the heck is going on in there.

0:42:04.484 --> 0:42:06.324
<v Speaker 4>You have evaluations, which is trying to figure out how

0:42:06.404 --> 0:42:07.284
<v Speaker 4>dangerous it is already.

0:42:08.084 --> 0:42:10.884
<v Speaker 3>And if if you were going to.

0:42:10.844 --> 0:42:13.524
<v Speaker 4>Engineers and you were like, can you tell me about

0:42:13.524 --> 0:42:17.564
<v Speaker 4>why this uh, this nuclear power plant is not going

0:42:17.644 --> 0:42:19.764
<v Speaker 4>to melt down? And they're like, well, yeah, we have

0:42:20.364 --> 0:42:23.004
<v Speaker 4>two safety teams. One is trying to figure out what

0:42:23.044 --> 0:42:26.044
<v Speaker 4>the heck is going on inside the plant. The other

0:42:26.124 --> 0:42:30.764
<v Speaker 4>is trying to measure whether it has exploded yet. You

0:42:30.804 --> 0:42:35.484
<v Speaker 4>would be like, okay, guys, ease off on the growing

0:42:35.524 --> 0:42:39.484
<v Speaker 4>pile of uranium, you know, And I'm like, I'm not.

0:42:39.524 --> 0:42:42.684
<v Speaker 4>I'm not trying to like, uh degrade the people working

0:42:42.684 --> 0:42:45.044
<v Speaker 4>on this. It's way better to have a team that's

0:42:45.084 --> 0:42:46.844
<v Speaker 4>trying to figure out what's going on inside the nuclear

0:42:46.844 --> 0:42:49.964
<v Speaker 4>power plant than to not, okay, it's it's way better

0:42:50.004 --> 0:42:53.004
<v Speaker 4>to have someone measuring is it starting to explode? You know,

0:42:53.084 --> 0:42:55.644
<v Speaker 4>the guys trying to do this are heroes in my book,

0:42:56.084 --> 0:43:00.564
<v Speaker 4>but like it, we're not close, and I think part

0:43:00.564 --> 0:43:02.004
<v Speaker 4>of why people aren't talking about is that we're not

0:43:02.044 --> 0:43:03.724
<v Speaker 4>We're not close to being able to do the job right.

0:43:03.924 --> 0:43:06.724
<v Speaker 1>Do you think that some of the tragedies that are happening,

0:43:07.044 --> 0:43:10.524
<v Speaker 1>you know, every day with chatbots, you know, mental health problems,

0:43:10.564 --> 0:43:14.124
<v Speaker 1>we see suicides, like we're seeing a lot of things

0:43:14.164 --> 0:43:17.964
<v Speaker 1>happening even with this fairly primitive, even though it's so

0:43:18.164 --> 0:43:22.804
<v Speaker 1>advanced technology. Do you think that that will be kind

0:43:22.804 --> 0:43:25.724
<v Speaker 1>of enough of a warning sign for people to start

0:43:25.724 --> 0:43:29.644
<v Speaker 1>taking note outside of the Silicon Valley elite who actually

0:43:29.684 --> 0:43:31.964
<v Speaker 1>know this more closely, who have you read your book,

0:43:31.964 --> 0:43:34.004
<v Speaker 1>who understand all of the implications.

0:43:34.604 --> 0:43:37.204
<v Speaker 4>You know, I'm hopeful in some sense the chat GPT

0:43:37.284 --> 0:43:43.844
<v Speaker 4>moment was more global awareness of the AI potential for

0:43:43.924 --> 0:43:46.964
<v Speaker 4>killing us all than I expected to maybe ever get.

0:43:47.604 --> 0:43:52.164
<v Speaker 4>You know, it's back before large language models a lot

0:43:52.164 --> 0:43:54.724
<v Speaker 4>of people predicted that AI that could sort of like

0:43:55.004 --> 0:43:58.484
<v Speaker 4>talk well was actually very late in the AI game.

0:43:59.164 --> 0:44:00.564
<v Speaker 4>You know, we used to have like mor of x

0:44:00.604 --> 0:44:02.604
<v Speaker 4>paradox where we'd say things that are like easy for

0:44:02.644 --> 0:44:04.164
<v Speaker 4>computers are are hard for.

0:44:04.164 --> 0:44:05.844
<v Speaker 3>Humans, and vice versa.

0:44:06.964 --> 0:44:08.644
<v Speaker 4>And you know, it could have been that this just

0:44:08.684 --> 0:44:12.564
<v Speaker 4>all stayed like very academic, very like only people in

0:44:12.604 --> 0:44:15.204
<v Speaker 4>the industry are watching it like it was up until

0:44:15.324 --> 0:44:18.884
<v Speaker 4>you know, maybe twenty twenty one. It could have stayed

0:44:18.924 --> 0:44:20.964
<v Speaker 4>that way all the way up until you know, you

0:44:21.004 --> 0:44:27.284
<v Speaker 4>have these AI companies making AI researcher ais in their

0:44:27.364 --> 0:44:31.524
<v Speaker 4>labs and no one's noticing. And that gives me some

0:44:31.564 --> 0:44:33.404
<v Speaker 4>hope that maybe we don't even need a disaster. Maybe

0:44:33.444 --> 0:44:37.964
<v Speaker 4>we just need another capability advance. Maybe when people do

0:44:38.084 --> 0:44:40.764
<v Speaker 4>live through, maybe people live through one more hop of

0:44:40.804 --> 0:44:44.204
<v Speaker 4>like AI's doing stuff they qualitatively couldn't do before. Maybe

0:44:44.204 --> 0:44:46.404
<v Speaker 4>that would be enough to wake people up. And then

0:44:46.404 --> 0:44:48.324
<v Speaker 4>on the flip side, you know, there can also be

0:44:48.364 --> 0:44:50.844
<v Speaker 4>big warning shots where people fail to learn from the

0:44:50.844 --> 0:44:54.924
<v Speaker 4>warning shot. One thing I'd say there is that what

0:44:54.964 --> 0:44:57.244
<v Speaker 4>you can learn from a warning shot, it depends a

0:44:57.284 --> 0:44:59.764
<v Speaker 4>little bit on how prepared you already are and how

0:44:59.804 --> 0:45:02.644
<v Speaker 4>knowledgeable you already are, and so you know there's no

0:45:03.084 --> 0:45:06.924
<v Speaker 4>substitute for sort of getting people to understand the issues today.

0:45:08.084 --> 0:45:12.124
<v Speaker 2>How much of the things we need to do as

0:45:12.164 --> 0:45:15.564
<v Speaker 2>a society right to mitigate this risk are kind of

0:45:15.604 --> 0:45:19.604
<v Speaker 2>technical steps versus political steps, like obviously, yeah, I'm sure

0:45:19.604 --> 0:45:23.924
<v Speaker 2>you've had this elevator pitch where the first sixty seconds

0:45:24.004 --> 0:45:27.084
<v Speaker 2>explaining why you're worried. Now, let's say I encounter you

0:45:27.124 --> 0:45:29.124
<v Speaker 2>on the same elevator. We're now going back to our rooms.

0:45:29.164 --> 0:45:32.124
<v Speaker 2>But I have another sixty seconds, right, what's the quick

0:45:32.164 --> 0:45:34.364
<v Speaker 2>pitch on what we should do? Is there a one

0:45:34.484 --> 0:45:37.804
<v Speaker 2>kind of genie wish if you could fiat something? Is

0:45:37.804 --> 0:45:39.804
<v Speaker 2>it more complicated than that? Do we know what we

0:45:39.884 --> 0:45:41.084
<v Speaker 2>have to do and it's a matter of forming the

0:45:41.164 --> 0:45:44.204
<v Speaker 2>right political coalition or all right, you have sixty ish

0:45:44.324 --> 0:45:44.964
<v Speaker 2>second snake.

0:45:47.444 --> 0:45:49.164
<v Speaker 4>I think what needs to happen is the world needs

0:45:49.164 --> 0:45:52.644
<v Speaker 4>to stop the race towards smarter than human AI, and

0:45:52.924 --> 0:45:54.884
<v Speaker 4>it needs to stop it everywhere, because no one can

0:45:54.924 --> 0:45:57.124
<v Speaker 4>keep these things in a leash. If anyone builds a

0:45:57.124 --> 0:46:00.524
<v Speaker 4>super intelligence anywhere on the planet, everyone dies, doesn't matter

0:46:00.564 --> 0:46:06.524
<v Speaker 4>who gets it. The world could stop AI is made

0:46:07.324 --> 0:46:10.884
<v Speaker 4>using extremely specialized chips in very large data centers that

0:46:10.884 --> 0:46:14.324
<v Speaker 4>suck down as much electricity as a city. It would

0:46:14.324 --> 0:46:19.924
<v Speaker 4>be probably easier to monitor than uranium. And I think

0:46:19.964 --> 0:46:23.804
<v Speaker 4>it's I think it's almost entirely political right now. I

0:46:23.844 --> 0:46:25.884
<v Speaker 4>think we are nowhere near solving on the technical side.

0:46:25.924 --> 0:46:28.084
<v Speaker 4>It's not to say it can't be solved technically, but

0:46:28.244 --> 0:46:31.124
<v Speaker 4>not only are we nowhere near close, But unlike a

0:46:31.124 --> 0:46:33.324
<v Speaker 4>lot of other scientific problems, we don't get free tries

0:46:34.524 --> 0:46:38.244
<v Speaker 4>the first time you have some theory of you know, this,

0:46:38.244 --> 0:46:40.684
<v Speaker 4>this AI will definitely be nice to us once it's

0:46:40.684 --> 0:46:44.044
<v Speaker 4>smart enough to be a threat to us. If that

0:46:44.084 --> 0:46:47.084
<v Speaker 4>theory is wrong, you sort of don't get to put

0:46:47.124 --> 0:46:50.964
<v Speaker 4>the genie back in the bottle. And that's unlike other theories.

0:46:51.044 --> 0:46:53.684
<v Speaker 4>That's unlike other science and a lot of other places in science.

0:46:53.724 --> 0:46:55.924
<v Speaker 4>You know, Marie Curie dies of cancer those likely caused

0:46:55.924 --> 0:46:59.644
<v Speaker 4>by radiation poisoning. She was a hero, But often the

0:46:59.644 --> 0:47:02.164
<v Speaker 4>first people interacting with stuff die of them, you know,

0:47:02.204 --> 0:47:02.924
<v Speaker 4>Max Valley, and.

0:47:02.964 --> 0:47:05.604
<v Speaker 2>They probably did things that were objectively kind of crazy, right,

0:47:05.964 --> 0:47:10.084
<v Speaker 2>But you have this selection mechanism where you know, the

0:47:10.124 --> 0:47:13.404
<v Speaker 2>great crazy invention survive the other ones, don't. I mean

0:47:14.884 --> 0:47:16.804
<v Speaker 2>how much would you have to So do you believe

0:47:16.804 --> 0:47:19.684
<v Speaker 2>in the idea of like a slowdown? Right, Like, let's

0:47:19.724 --> 0:47:23.524
<v Speaker 2>say that the people who are skeptical of rapid time

0:47:23.564 --> 0:47:28.404
<v Speaker 2>horizons are correct and this technology develops over the course

0:47:28.604 --> 0:47:35.764
<v Speaker 2>of fifty years instead of fifteen or five or five months.

0:47:36.324 --> 0:47:38.284
<v Speaker 2>Is that enough time to get things right? Would it

0:47:38.364 --> 0:47:39.724
<v Speaker 2>pause or a slow down work?

0:47:42.284 --> 0:47:44.524
<v Speaker 4>You know, fifty is a lot more to work with

0:47:44.604 --> 0:47:52.124
<v Speaker 4>than fifteen. But you got to worry about convergence on

0:47:52.164 --> 0:47:56.484
<v Speaker 4>the wrong on a bad solution, and humanity so far

0:47:56.524 --> 0:47:58.964
<v Speaker 4>has not been bringing its a game and to get

0:47:59.004 --> 0:48:03.924
<v Speaker 4>around on the first try, it's it's hard. Fifty years,

0:48:04.204 --> 0:48:07.884
<v Speaker 4>I could work with you, maybe have a chance, but

0:48:07.924 --> 0:48:11.724
<v Speaker 4>I'd be trying to do things like could we use

0:48:11.764 --> 0:48:16.004
<v Speaker 4>biotech to somehow enhance the intelligence of our humans? But

0:48:16.844 --> 0:48:18.604
<v Speaker 4>I mean, first thing we do is we get a

0:48:18.644 --> 0:48:20.764
<v Speaker 4>slow down somehow. Maybe we'll be liking get a slow down.

0:48:20.844 --> 0:48:25.364
<v Speaker 4>Maybe we'll need to get a slow down by international FIAT.

0:48:27.044 --> 0:48:30.844
<v Speaker 4>But a lot of people say, oh, it will never happen.

0:48:30.884 --> 0:48:33.644
<v Speaker 4>People never slow down. One big reason for hope here,

0:48:33.644 --> 0:48:37.924
<v Speaker 4>I think, is that our world leaders don't yet understand

0:48:39.444 --> 0:48:43.604
<v Speaker 4>what the people in the valley are debating. They don't

0:48:43.684 --> 0:48:46.924
<v Speaker 4>understand that we're in this situation where the possibilities are,

0:48:46.924 --> 0:48:48.724
<v Speaker 4>like the tech just doesn't work, in which case betting

0:48:48.724 --> 0:48:51.164
<v Speaker 4>and it will go nowhere, or you're either making god

0:48:51.164 --> 0:48:55.884
<v Speaker 4>emperors or killing us all, and that the optimistic folks

0:48:55.884 --> 0:48:58.044
<v Speaker 4>who think the tech works think there's like a twenty

0:48:58.084 --> 0:49:02.564
<v Speaker 4>five percent chance it kills us all. You know, it's like, yeah,

0:49:02.764 --> 0:49:05.724
<v Speaker 4>that's like we're racing, but we're racing in a situation

0:49:05.764 --> 0:49:08.964
<v Speaker 4>where people don't realize that either this race goes nowhere

0:49:09.084 --> 0:49:10.764
<v Speaker 4>or go to really bad places.

0:49:11.964 --> 0:49:14.204
<v Speaker 2>Let me ask you kind of a meta question, what

0:49:14.244 --> 0:49:16.644
<v Speaker 2>do you see your role as in this debate?

0:49:19.004 --> 0:49:23.724
<v Speaker 4>I think my role, in Eliezer's role in this situation

0:49:24.084 --> 0:49:26.164
<v Speaker 4>is to come out and say the things that a

0:49:26.204 --> 0:49:29.844
<v Speaker 4>lot of people are thinking, and to sort of like

0:49:29.844 --> 0:49:31.724
<v Speaker 4>to be the kid who says the emperor has no clothes.

0:49:32.964 --> 0:49:35.004
<v Speaker 4>There's a lot of people who are worried here, but

0:49:35.444 --> 0:49:37.164
<v Speaker 4>no one's sort of coming right out and saying this

0:49:37.244 --> 0:49:40.364
<v Speaker 4>is crazy. We should stop. The labs who say there's

0:49:40.364 --> 0:49:42.284
<v Speaker 4>a twenty five percent chance this kills us all, don't

0:49:42.324 --> 0:49:44.764
<v Speaker 4>then do the next step and say so, please put

0:49:44.764 --> 0:49:47.804
<v Speaker 4>a stop to it. Right, My role here is to

0:49:47.844 --> 0:49:54.444
<v Speaker 4>sort of like spell out that last step and be like, guys,

0:49:55.084 --> 0:49:57.084
<v Speaker 4>this is nuts. We shouldn't be doing it. It's the

0:49:57.124 --> 0:49:59.244
<v Speaker 4>obvious implication of what everyone else has been saying. So

0:49:59.444 --> 0:50:00.964
<v Speaker 4>you'll be I wish it was not stepping up.

0:50:00.964 --> 0:50:04.964
<v Speaker 2>But if you and Eliezer are at the Utopian retirement

0:50:05.004 --> 0:50:07.924
<v Speaker 2>home in one hundred and fifty years, because now human

0:50:07.964 --> 0:50:10.804
<v Speaker 2>beings lived to you know, one hundred ninety years old

0:50:10.884 --> 0:50:14.924
<v Speaker 2>on average or something, and your predictions are totally wrong

0:50:15.004 --> 0:50:17.444
<v Speaker 2>and AI is absolutely wonderful. Okay, good.

0:50:17.524 --> 0:50:19.964
<v Speaker 4>I would absolutely love to be wrong. I would I

0:50:20.004 --> 0:50:24.084
<v Speaker 4>would be so thrilled. Yeah, no spoilers about my book,

0:50:24.204 --> 0:50:27.484
<v Speaker 4>but it ends with us talking about how thrilled we

0:50:27.484 --> 0:50:27.884
<v Speaker 4>would be.

0:50:27.804 --> 0:50:28.204
<v Speaker 3>To be wrong.

0:50:28.244 --> 0:50:32.324
<v Speaker 2>Okay, I just sent you a calendar invite for October thirtieth,

0:50:32.364 --> 0:50:34.364
<v Speaker 2>two thousand and thirty five, where we can have a

0:50:34.364 --> 0:50:37.444
<v Speaker 2>follow up, right podcast, Nate Perfect any closing thoughts. Has

0:50:37.484 --> 0:50:38.444
<v Speaker 2>been a lot of fun to be with you.

0:50:40.564 --> 0:50:43.364
<v Speaker 4>Yeah, I mean, first and foremost, glad that you're you're

0:50:43.364 --> 0:50:46.644
<v Speaker 4>having the convo. Glad that we're having the convo. I

0:50:46.684 --> 0:50:49.444
<v Speaker 4>think just more people realizing how crazy the situation is

0:50:49.604 --> 0:50:50.284
<v Speaker 4>will go a long way.

0:50:50.324 --> 0:50:51.244
<v Speaker 3>Towards making things better.

0:50:51.524 --> 0:50:53.404
<v Speaker 1>Thank you so much for joining us, Nate, it's been

0:50:53.444 --> 0:50:55.604
<v Speaker 1>an absolute pleasure, pleasure to be here.

0:50:56.204 --> 0:50:57.124
<v Speaker 2>We'll talk to you soon.

0:51:04.084 --> 0:51:05.884
<v Speaker 1>Let us know what you think of the show. Reach

0:51:05.924 --> 0:51:09.244
<v Speaker 1>out to us at Risky Business at pushkin dot FM.

0:51:09.844 --> 0:51:12.924
<v Speaker 1>Risky Business is hosted by me Maria Kanakova.

0:51:12.644 --> 0:51:15.404
<v Speaker 2>And by me Nate Silver. The show was a cool

0:51:15.404 --> 0:51:19.364
<v Speaker 2>production of Pushing Industries and iHeartMedia. This episode was produced

0:51:19.404 --> 0:51:23.764
<v Speaker 2>by Isaac Carter. Our associate producer is Sonya gerwit Lydia,

0:51:23.844 --> 0:51:26.724
<v Speaker 2>Jean Kott and Daphne Chen are our editors, and our

0:51:26.764 --> 0:51:30.524
<v Speaker 2>executive producer is Jacob Goldstein. Mixing by Sarah Bruger.

0:51:31.164 --> 0:51:33.404
<v Speaker 1>If you like the show, please rate and review us

0:51:33.404 --> 0:51:36.044
<v Speaker 1>so other people can find us too, But once again,

0:51:36.204 --> 0:51:38.004
<v Speaker 1>only if you like us. We don't want those bad

0:51:38.044 --> 0:51:40.204
<v Speaker 1>reviews out there. Thanks for tuning in.