WEBVTT - Will AI Radically Change the World by 2027?... from Risky Business

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<v Speaker 1>Pushkin.

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<v Speaker 2>Hey, it's Jacob.

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<v Speaker 1>There's another Pushkin show called Risky Business. It's a show

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<v Speaker 1>about decision making and strategic thinking. It's hosted by Nate

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<v Speaker 1>Silver and Riya Kanakova, and they just had a really

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<v Speaker 1>interesting episode about the future of AI. So we're going

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<v Speaker 1>to play that episode for you right now. We'll be

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<v Speaker 1>back later this week with the regular episode of What's

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<v Speaker 1>Your Problem.

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<v Speaker 3>Welcome back to Risky Business, a show about making better decisions.

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<v Speaker 3>I'm Maria Kanakova.

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<v Speaker 2>And I'm Nate Silver.

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<v Speaker 3>Hey. Today on the show is going to be a

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<v Speaker 3>little bit doomtastic.

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<v Speaker 2>Yeah, I mean, I don't know if it's like worse

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<v Speaker 2>and thinking about like the global economy going into a

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<v Speaker 2>recession because of dumb fuck tariff policies about how we're

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<v Speaker 2>all going to die in seven years and staid no,

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<v Speaker 2>I'm just kidding. This is a very very intelligent and

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<v Speaker 2>well written and thoughtful report called AI twenty twenty seven

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<v Speaker 2>that we're to spend the whole show on I because

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<v Speaker 2>think it's such an interesting to talk about, but that

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<v Speaker 2>you know, includes some dystopian possibilities. I would say it does.

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<v Speaker 3>Indeed, So let's get into it and hope that you

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<v Speaker 3>guys are all still here to listen to us in

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<v Speaker 3>seven years.

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<v Speaker 2>The contrast is interesting between like all the chaos we're

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<v Speaker 2>seeing with tariff policy in terms of starting a trade

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<v Speaker 2>war with China and then other types of chaos. It's

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<v Speaker 2>interesting to kind of look at this. I mean, I

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<v Speaker 2>wouldn't call it a more optimistic future exactly, like but

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<v Speaker 2>like on a different trajectory of like a future that's

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<v Speaker 2>going to change very fast, according to these authors, with

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<v Speaker 2>profound implications for you know, everything, the humans species. These

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<v Speaker 2>researchers and authors are saying that everything is going to

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<v Speaker 2>change profoundly.

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<v Speaker 3>And.

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<v Speaker 2>Even though there is some hedging hair, this is kind

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<v Speaker 2>of their base case scenario. And like you know, base

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<v Speaker 2>case number one and base case number two differ. There's

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<v Speaker 2>like kind of a choose your own adventure at some

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<v Speaker 2>point in this report, but they're both very different than

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<v Speaker 2>the status quo, right, and the notionately hear from that,

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<v Speaker 2>like everything becomes different If ais become substantially more intelligent

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<v Speaker 2>than human beings. People can debate and we will debate

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<v Speaker 2>on this program what that means. But yeah, do you

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<v Speaker 2>want to do you want to contextualize this for me?

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<v Speaker 2>Do you want to tell people too. Yeah, there's are

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<v Speaker 2>of this report.

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<v Speaker 3>Absolutely absolutely. So the report is authored officially by five people,

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<v Speaker 3>but I think unofficially there's also a sixth. We've got

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<v Speaker 3>Eli Leiflund, who's a super forecaster and he was ranked

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<v Speaker 3>first on Rand's forecasting initiative, so he is someone who

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<v Speaker 3>is very good at kind of looking at the future

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<v Speaker 3>trying to predict what's going to happen. You have Jonas Walmer,

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<v Speaker 3>who's a VC at Macroscopic Ventures. Thomas Larson was the

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<v Speaker 3>former executive director of the Center for AI Policy, so

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<v Speaker 3>that is a center that advises both sides of the

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<v Speaker 3>aisle on how AI is going to go. And Romeo Dean,

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<v Speaker 3>who is part of Harvard's AI Safety Student Team, so

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<v Speaker 3>someone who is still a student, still learning, but kind

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<v Speaker 3>of the next generation of people looking at AI. And

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<v Speaker 3>finally we have Daniel Cochtaylo, who basically had written a

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<v Speaker 3>report back in twenty twenty one. He was a AI

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<v Speaker 3>researcher and he looked at predictions for AI for twenty

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<v Speaker 3>twenty six and it turns out that his predictions were

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<v Speaker 3>pretty spot on, and so Open AI actually hired Daniel

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<v Speaker 3>as a result of this report.

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<v Speaker 2>Obviously he left, yes, and.

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<v Speaker 3>Then and then he left exactly.

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<v Speaker 2>And importantly, So there's also Scott Alexander exactly.

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<v Speaker 3>So I was saying, he's the he's the person who

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<v Speaker 3>kind of is in the background, and he's you guys

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<v Speaker 3>might know him as the author behind astral Codex.

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<v Speaker 2>And I know Scott. He's one of the kind of

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<v Speaker 2>fathers of what you might call rationalism. I think Scott,

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<v Speaker 2>when I interviewed him from a book, was happy enough

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<v Speaker 2>with that term and accused me or co opted me

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<v Speaker 2>into also being a rationalist. These people are somewhat adjacent

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<v Speaker 2>to the effective altruist, but not quite right. They're just

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<v Speaker 2>trying to apply a sort of thoughtful, rigorous, quantitative lens

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<v Speaker 2>to big picture problems, including existential risk, of which most

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<v Speaker 2>people in this community believe that AI is both an

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<v Speaker 2>existential risk and also kind of an existential opportunity, right,

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<v Speaker 2>that it could transform things. You talk to Sam Alp

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<v Speaker 2>and he'll say, we're going to cure cancer and elimina

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<v Speaker 2>poverty and whatever else. Right. And Scott's also an excellent writer.

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<v Speaker 2>And so let me disclose something which is slightly important here.

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<v Speaker 2>So I actually was approached by some of the authors

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<v Speaker 2>of this report a couple of months ago, I guess

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<v Speaker 2>it was in February ish, just to give feedback and

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<v Speaker 2>chat with them. So I'm working off the draft version right,

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<v Speaker 2>which I do not leave. They changed very much, so

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<v Speaker 2>my notes pertained to an earlier draft. I did not

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<v Speaker 2>have time this morning to go back and re.

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<v Speaker 3>Read it, so I was not on the inside loops.

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<v Speaker 3>So I did not get an earlier draft. And I've

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<v Speaker 3>read this draft and basically just to kind of big

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<v Speaker 3>picture sum it up, it outlines two scenarios, right, two

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<v Speaker 3>major scenarios for how AI might change the world as

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<v Speaker 3>soon as twenty thirty. Now important note like that that

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<v Speaker 3>date is could have hedged. It might be sooner, it

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<v Speaker 3>might be later. There's kind of a there's a confidence

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<v Speaker 3>interval there. But the two different scenarios. One basically we

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<v Speaker 3>do twenty thirty, humanity disappears and is taken over by AI.

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<v Speaker 3>The positive report is in twenty thirty basically we get

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<v Speaker 3>AIS that are aligned to our interests, and we get

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<v Speaker 3>kind of this AI utopia where AIS actually help make

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<v Speaker 3>life much better for everyone and make the standard of

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<v Speaker 3>living much higher. But the crucial turning point is before

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<v Speaker 3>twenty thirty. And the crucial kind of question at the

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<v Speaker 3>center of this is will we be able to design

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<v Speaker 3>AIS that are truly aligned to human interests rather than

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<v Speaker 3>just appear to be aligned and kind of lying to

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<v Speaker 3>us while actually following their own agenda. And how we

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<v Speaker 3>handle that is kind of the lynchpin. And it's actually interesting,

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<v Speaker 3>Nate that you started out with China, because a lot

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<v Speaker 3>of the policy choices and a lot of what they

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<v Speaker 3>see as kind of the decision points will affect the

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<v Speaker 3>future of humanity actually hinge on the US China dynamic,

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<v Speaker 3>how they compete with each other, and how that sometimes

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<v Speaker 3>might basically clash against safety concerns because no one wants

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<v Speaker 3>to be left behind. Can we manage that effectively and

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<v Speaker 3>can kind of that transition work in our favor as

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<v Speaker 3>opposed to against us. I think that this is kind

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<v Speaker 3>of one of the big questions here, And so it's

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<v Speaker 3>funny that we're seeing all of this trade war right

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<v Speaker 3>now as the sideport is coming out.

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<v Speaker 2>Yeah. Look, I think this exercise is partly just a

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<v Speaker 2>forecasting exercise, right, I mean, obviously it's just kind of

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<v Speaker 2>like fork at the bottom where we learn to have

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<v Speaker 2>an AI slow down or we kind of are pressing

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<v Speaker 2>fully on the accelerator, right, Like, in some ways, scenarios

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<v Speaker 2>are like not that different, right, either one assumes remarkable

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<v Speaker 2>rates of technological growth that I think even AI I'm

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<v Speaker 2>never quite sure who to call an optimist or a pessimist, right,

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<v Speaker 2>even AI believers you know, might think is a little

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<v Speaker 2>bit aggressive. Right, But what they want to do is

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<v Speaker 2>they want to have like a specific, fleshed out scenario

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<v Speaker 2>for how the world would look like. It's kind of

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<v Speaker 2>like a modal scenario. And like, I think they'd say that, like,

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<v Speaker 2>we're not totally sure about either of these necessarily, right,

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<v Speaker 2>And I don't think they'd be as like pedantic as

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<v Speaker 2>to say, if you do X, Y and Z, then

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<v Speaker 2>we'll save the world and have utopia, and if you don't,

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<v Speaker 2>then we'll all die, Right. I think they'd probably say

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<v Speaker 2>it's unclear and there's kind of like risk either way.

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<v Speaker 2>We wanted to go through the scenario of like fleshing

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<v Speaker 2>out like what the world might look like, right. I

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<v Speaker 2>do think one thing that's important is that whatever decisions

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<v Speaker 2>are made now could get locked in, right that you

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<v Speaker 2>pass certain points in overturn and it becomes very hard

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<v Speaker 2>to decelerate like an arms race. This is you know

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<v Speaker 2>what we found during the Cold War for example. I

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<v Speaker 2>mean one of the big things I look at is like,

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<v Speaker 2>do we force the AI to be transparent in its

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<v Speaker 2>thinking with humans? Right? Like, now there's been a movement

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<v Speaker 2>toward the ai'll actually explicate it's thinking more. I'll ask

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<v Speaker 2>it a query open AI. The Chinese models to this too, right,

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<v Speaker 2>and I'll say, I am thinking about X, Y and Z,

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<v Speaker 2>and I'm looking up PD and Q and now I'm

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<v Speaker 2>reconsidering this. It's actually has this chain of thought process, right,

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<v Speaker 2>which is explicated in English. You know. One concern is

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<v Speaker 2>that what if the AI just kind of communicates to

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<v Speaker 2>another in these implicit vectors that's inferring from all the

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<v Speaker 2>texts it has. It's kind of unintelligible to human beings, right,

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<v Speaker 2>and maybe kind of quote unquote thinking in that way

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<v Speaker 2>in the first place, and then does us the favor

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<v Speaker 2>of like translating back so it it goes from English

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<v Speaker 2>to kind of this big bag of numbers is one

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<v Speaker 2>a researcher called it, right, and then it translates it

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<v Speaker 2>back into English or whatever land which you want. Really,

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<v Speaker 2>in the end, what if it just skip cuts out

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<v Speaker 2>that last step, right, then we can't kind of like

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<v Speaker 2>check what AI is doing. Then it can behave deceptively

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<v Speaker 2>more easily. So you know, so that part seems to

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<v Speaker 2>be important. I want to hear your your first impressions

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<v Speaker 2>before I kind of poison the well too much.

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<v Speaker 3>Well, my first impressions is that the alignment problem is

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<v Speaker 3>a very real one and an incredibly important one to solve.

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<v Speaker 3>And what I got from this is that actually, the

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<v Speaker 3>problem that I've had with like these initial AI lms

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<v Speaker 3>is the kernel of what they're seeing there. Right, So

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<v Speaker 3>you and I have talked about this on the show

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<v Speaker 3>in the past, and I've said, well, my problem is

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<v Speaker 3>that when I'm a domain expert, right, I start seeing

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<v Speaker 3>some inaccuracies, and I start seeing like places where like

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<v Speaker 3>it either just didn't do well or made shit up

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<v Speaker 3>or whatever it is. Now, I think it's very clear

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<v Speaker 3>that those problems aren't going to go away, right, that

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<v Speaker 3>that is going to get much much better. However, the

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<v Speaker 3>kernel of it's showing me some thing, but that might

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<v Speaker 3>just be you know, I have no way of verifying

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<v Speaker 3>if that's what's going on, what it's reading, like, how

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<v Speaker 3>it's I don't want to say thinking about it, even

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<v Speaker 3>though in the report they do use thinking, but it's normal.

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<v Speaker 2>Vizing too much, I think is correct. I think it's.

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<v Speaker 3>Okay, we'll stick to that language. Yeah, okay, So, so

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<v Speaker 3>how it's thinking about it that those little problems and

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<v Speaker 3>like the little the glitches and the things that it

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<v Speaker 3>might be doing where it starts actually glitching on purpose

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<v Speaker 3>are not going to be visible to the human eye.

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<v Speaker 3>And so one of the main things that they say

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<v Speaker 3>here is that as AI internal R and D gets

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<v Speaker 3>rapidly faster, so that means basically AI's researching AIS, right,

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<v Speaker 3>and so internally they start developing new models, and as

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<v Speaker 3>they kind of surpass human ability to monitor it, it

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<v Speaker 3>becomes progressively more difficult to figure out, Okay, is the

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<v Speaker 3>AI actually doing what I want to do? Is the

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<v Speaker 3>output that it's giving me its actual thought process, and

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<v Speaker 3>is it accurate or is it like trying to deceive me?

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<v Speaker 3>But it's actually kind of inserting certain things on purpose

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<v Speaker 3>because it has different goals, right, because it is actually

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<v Speaker 3>secretly misaligned, but it's very good at persuading me that

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<v Speaker 3>it's aligned. Because one of the things that actually came

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<v Speaker 3>out of this report and I was like, huh, you

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<v Speaker 3>know this is interesting is if we get this remarkable

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<v Speaker 3>improvement in AI, it will also remarkably improve at persuading us, right,

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<v Speaker 3>so as part of making yeah, so this is this

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<v Speaker 3>is but I've never even thought about that. I was like, okay, fine,

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<v Speaker 3>But one of the things that I do buy is

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<v Speaker 3>that it's going to be very difficult for us to

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<v Speaker 3>monitor it and to figure out like is it truly

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<v Speaker 3>aligned with human wants, with human desires, with human goals,

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<v Speaker 3>And the experts who are capable of doing that, I

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<v Speaker 3>think are actually going to dwindle right as AI starts

0:13:07.796 --> 0:13:11.036
<v Speaker 3>proliferating in society. And so to me, that is something

0:13:11.036 --> 0:13:13.196
<v Speaker 3>that is actually quite worrisome, and that is something that

0:13:13.236 --> 0:13:15.916
<v Speaker 3>we really need to be paying attention to now. Just

0:13:15.956 --> 0:13:19.596
<v Speaker 3>to fast forward a little bit, in their doomsday scenario

0:13:20.236 --> 0:13:24.036
<v Speaker 3>in twenty thirty one, AI takes over it basically like

0:13:24.476 --> 0:13:28.476
<v Speaker 3>suddenly releases some chemical agents, right, and humanity dies and

0:13:28.516 --> 0:13:30.996
<v Speaker 3>the rest of the stragglers are taken care of by drones,

0:13:30.996 --> 0:13:34.476
<v Speaker 3>et cetera. I don't even like it's it doesn't even.

0:13:34.396 --> 0:13:35.516
<v Speaker 2>Quick and painless death.

0:13:35.596 --> 0:13:38.876
<v Speaker 3>I will say, let's hope we don't know what the

0:13:38.916 --> 0:13:42.196
<v Speaker 3>chemical agents are might not be quick and painless. Some

0:13:42.276 --> 0:13:45.316
<v Speaker 3>chemical agents are actually a very painful death thing. So

0:13:45.716 --> 0:13:49.116
<v Speaker 3>let's hope let's hope it's quick and painless. Quick, quick, yes,

0:13:49.116 --> 0:13:53.756
<v Speaker 3>stuff quick? Okay, hopefully some chemical agents are not quick.

0:13:54.756 --> 0:13:58.636
<v Speaker 3>Let's hope it's it's quick and painless. But if they're

0:13:58.676 --> 0:14:01.796
<v Speaker 3>actually capable of deception at that high level, then you

0:14:02.036 --> 0:14:05.196
<v Speaker 3>technically don't even need them to do it. If we're

0:14:05.196 --> 0:14:08.196
<v Speaker 3>trusting medicine and all sorts of things to the AIS,

0:14:08.236 --> 0:14:11.556
<v Speaker 3>it's pretty easy for it to actually manipulate something and

0:14:11.716 --> 0:14:16.836
<v Speaker 3>actually insert something into codes, et cetera that will fuck

0:14:16.916 --> 0:14:19.636
<v Speaker 3>up humanity in a way that we can't that we

0:14:19.676 --> 0:14:22.876
<v Speaker 3>can't actually figure out at the moment, right, Like the

0:14:22.916 --> 0:14:24.556
<v Speaker 3>way I think of it, And this is not from

0:14:24.716 --> 0:14:26.556
<v Speaker 3>the this is not from the paper, but this is

0:14:26.636 --> 0:14:29.276
<v Speaker 3>just the way that like my mind processed. It is

0:14:29.316 --> 0:14:33.876
<v Speaker 3>like think about DNA, right, Like you have these remarkably complex,

0:14:34.436 --> 0:14:38.796
<v Speaker 3>huge strands of data, and as we've found out, but

0:14:38.876 --> 0:14:43.516
<v Speaker 3>it's taken forever, one tiny mutation can actually be fatal, right,

0:14:43.556 --> 0:14:47.156
<v Speaker 3>but you can't spot that mutation. Sometimes that mutation isn't

0:14:47.196 --> 0:14:50.156
<v Speaker 3>fatal immediately but will only manifest at a certain point

0:14:50.196 --> 0:14:52.396
<v Speaker 3>in time. That's the way that my mind tried to

0:14:52.556 --> 0:14:56.836
<v Speaker 3>kind of try to conceptualize what this actually means. And

0:14:56.876 --> 0:14:59.396
<v Speaker 3>so I think that, you know, that would be easy

0:14:59.476 --> 0:15:03.556
<v Speaker 3>for a deceptive AI to do and to me like that,

0:15:03.556 --> 0:15:06.076
<v Speaker 3>that's kind of the big takeaway from this report is

0:15:06.116 --> 0:15:08.996
<v Speaker 3>that we need to make sure that we are building

0:15:09.316 --> 0:15:15.196
<v Speaker 3>AIS that will not deceive right that they're capabilities, they

0:15:15.556 --> 0:15:18.756
<v Speaker 3>explain them in an honest way, and that honesty and

0:15:18.796 --> 0:15:22.196
<v Speaker 3>trust is actually prioritized over other things, even though it

0:15:22.276 --> 0:15:24.916
<v Speaker 3>might slow down research, it might slow down other things,

0:15:24.956 --> 0:15:29.236
<v Speaker 3>but that that kind of alignment step is absolutely crucial

0:15:29.396 --> 0:15:32.956
<v Speaker 3>at the beginning, because otherwise humans are human, right, they're

0:15:32.956 --> 0:15:37.956
<v Speaker 3>easily manipulated, And we often trust that computers are quote

0:15:38.036 --> 0:15:41.116
<v Speaker 3>unquote rational because they're computers, but they're not. They have

0:15:41.196 --> 0:15:43.276
<v Speaker 3>their own inputs, they have their own weights, they have

0:15:43.316 --> 0:15:47.516
<v Speaker 3>their own values, and that could just lead us down

0:15:47.756 --> 0:15:48.476
<v Speaker 3>a dark path.

0:15:48.556 --> 0:15:51.876
<v Speaker 2>Yeah, so let me follow up with this pushback. I

0:15:51.876 --> 0:15:54.636
<v Speaker 2>guess right, Like, first of all, I don't know that

0:15:54.716 --> 0:15:58.556
<v Speaker 2>humans are so easily persuaded. This is my big critique

0:15:58.636 --> 0:16:03.636
<v Speaker 2>with like all the misinformation people who say, well, misinformation

0:16:03.716 --> 0:16:06.196
<v Speaker 2>is the biggest problem that society basis. It's like people

0:16:06.236 --> 0:16:10.476
<v Speaker 2>are actually pretty stubborn and they're kind of sound pretentious.

0:16:10.916 --> 0:16:13.676
<v Speaker 2>They're kind of basian and how they formulate their beliefs, right,

0:16:13.716 --> 0:16:15.796
<v Speaker 2>they have some notion of reality. They're looking at the

0:16:15.836 --> 0:16:20.356
<v Speaker 2>credibility of the person who is telling them these remarks.

0:16:20.676 --> 0:16:22.956
<v Speaker 2>If it's an unpersuasive source, it might make them less

0:16:22.996 --> 0:16:25.516
<v Speaker 2>likely to believe they're balancing what other information with their

0:16:25.556 --> 0:16:29.716
<v Speaker 2>lived experience so called Right. You know, part of the

0:16:29.756 --> 0:16:33.116
<v Speaker 2>reason that like I am skeptical of AIS being super

0:16:33.116 --> 0:16:36.316
<v Speaker 2>persuasive is like you know that it's an AI. You

0:16:36.316 --> 0:16:37.796
<v Speaker 2>know it's trying to persuade you. You know what I mean.

0:16:38.036 --> 0:16:40.156
<v Speaker 2>Like if you go and play poker against like a

0:16:40.196 --> 0:16:42.636
<v Speaker 2>really chatty player, if Phil Hemmi with or Scott Sieber

0:16:42.956 --> 0:16:45.396
<v Speaker 2>or someone like that, Right, you know, on some level

0:16:45.476 --> 0:16:49.636
<v Speaker 2>of the best play is just to totally ignore it. Right,

0:16:49.756 --> 0:16:51.716
<v Speaker 2>You know that they are trying to sweet talk you

0:16:51.916 --> 0:16:55.436
<v Speaker 2>into doing exactly what they want you to do, and

0:16:55.516 --> 0:16:59.196
<v Speaker 2>so the best play is to disengage or literally you

0:16:59.196 --> 0:17:01.036
<v Speaker 2>can randomize your movis videos no notion of what the

0:17:01.076 --> 0:17:06.236
<v Speaker 2>game theoretical optimal play might be, right, or salesmen or

0:17:06.396 --> 0:17:09.836
<v Speaker 2>politicians have reputations for being Oh he's a little too smooth.

0:17:09.876 --> 0:17:12.916
<v Speaker 2>Gavin newsome a little too fucking smooth. Right, I don't

0:17:12.956 --> 0:17:15.076
<v Speaker 2>find Gavin news some persuasive at all. Right, use a

0:17:15.076 --> 0:17:19.076
<v Speaker 2>little too from the hair gel to the constantly shifting vibes.

0:17:19.116 --> 0:17:20.956
<v Speaker 2>I mean, I don't really find Gavin news some persuasive

0:17:20.956 --> 0:17:22.596
<v Speaker 2>at all, even though like an AI, I'd say, boy,

0:17:22.596 --> 0:17:25.796
<v Speaker 2>Gavin new some good looking guys look gravelly throated. But

0:17:25.956 --> 0:17:28.276
<v Speaker 2>you know whatever, I mean. Look, the big critique I

0:17:28.276 --> 0:17:31.636
<v Speaker 2>have of this project, and by the way, I think

0:17:31.636 --> 0:17:35.396
<v Speaker 2>this is an amazing project in addition to like wonderful

0:17:35.436 --> 0:17:37.956
<v Speaker 2>writing if you viewed on the web not your phone.

0:17:38.036 --> 0:17:41.516
<v Speaker 2>So these very cool, like little infographic that updates everything

0:17:41.556 --> 0:17:43.516
<v Speaker 2>from like the market value. If they don't call it

0:17:43.516 --> 0:17:45.596
<v Speaker 2>open aye, they call it open brain. I guess is

0:17:45.596 --> 0:17:46.796
<v Speaker 2>what they settle on for a substitute.

0:17:47.036 --> 0:17:50.836
<v Speaker 3>Yeah, they call everything something else, just to make sure

0:17:50.876 --> 0:17:53.476
<v Speaker 3>that they're not stepping on any toes. So they have

0:17:53.636 --> 0:17:57.476
<v Speaker 3>open Brain, and then they have Deep Scent from China.

0:17:57.756 --> 0:18:02.036
<v Speaker 2>I wonder which one that could be. I wonder. But

0:18:02.116 --> 0:18:06.196
<v Speaker 2>it's beautifully presented and written, and like I appreciate they're

0:18:06.196 --> 0:18:09.436
<v Speaker 2>going out on a limb here, you know, I mean,

0:18:09.476 --> 0:18:11.676
<v Speaker 2>I think they have. It's been fairly well received. They've

0:18:11.676 --> 0:18:15.156
<v Speaker 2>gotten some pushback both from inside and I think outside

0:18:15.236 --> 0:18:18.276
<v Speaker 2>the AI safety community. Right, but they're putting their necks

0:18:18.316 --> 0:18:21.076
<v Speaker 2>in the line, hear. They will look if things look

0:18:21.076 --> 0:18:23.716
<v Speaker 2>pretty normal, if looks pretty normal in twenty thirty two

0:18:23.956 --> 0:18:27.676
<v Speaker 2>or whatever, right, then they will look dumb for having

0:18:27.676 --> 0:18:28.876
<v Speaker 2>published this.

0:18:29.196 --> 0:18:32.676
<v Speaker 3>Well, and they actually have that right as a scenario

0:18:32.796 --> 0:18:35.516
<v Speaker 3>that you end up looking stupid if everything goes well.

0:18:35.796 --> 0:18:38.516
<v Speaker 3>But that's okay. Now, can I push back on the

0:18:38.556 --> 0:18:42.676
<v Speaker 3>persuasion thing a little bit, just on two things. So

0:18:42.836 --> 0:18:45.676
<v Speaker 3>first of all, the poker example is not actually a

0:18:45.676 --> 0:18:49.956
<v Speaker 3>particularly applicable one here, because you know that you're playing

0:18:50.036 --> 0:18:52.196
<v Speaker 3>poker and you know that someone is trying to get

0:18:52.196 --> 0:18:55.796
<v Speaker 3>information and deceive you the tricky thing. So this is

0:18:55.876 --> 0:18:57.996
<v Speaker 3>kind of when I spend time with con artists. The

0:18:57.996 --> 0:19:01.356
<v Speaker 3>best con artists aren't Gavin Newsome, Like, they're not car salesmen.

0:19:01.676 --> 0:19:04.036
<v Speaker 3>You have no idea they're trying to persuade you to

0:19:04.076 --> 0:19:07.316
<v Speaker 3>do something. They are just like nice, affable people who

0:19:07.396 --> 0:19:10.756
<v Speaker 3>are incredibly charismatic, and even in the poker community, by

0:19:10.756 --> 0:19:12.796
<v Speaker 3>the way, like some of the biggest grifters who like

0:19:12.836 --> 0:19:16.276
<v Speaker 3>it comes out later on, we're just like stealing money

0:19:16.276 --> 0:19:19.076
<v Speaker 3>and doing all of these things. Are charming, right, They're

0:19:19.116 --> 0:19:22.236
<v Speaker 3>not sleazy looking like they have no signs of, oh,

0:19:22.276 --> 0:19:24.516
<v Speaker 3>I'm a salesman. I'm trying to sell you something. The

0:19:24.556 --> 0:19:28.116
<v Speaker 3>people who are actually good at persuasion you do not

0:19:28.316 --> 0:19:31.316
<v Speaker 3>realize you are being persuaded. And I think people are

0:19:31.356 --> 0:19:35.556
<v Speaker 3>incredibly easy to kind of to subtly lead in a

0:19:35.596 --> 0:19:38.756
<v Speaker 3>certain direction if you know how to do it, and

0:19:38.836 --> 0:19:42.236
<v Speaker 3>I think ais could do that, and they might persuade

0:19:42.236 --> 0:19:44.116
<v Speaker 3>you when you don't even think they're trying to persuade you.

0:19:44.116 --> 0:19:46.436
<v Speaker 3>You might just ask like, can you please summarize this

0:19:46.516 --> 0:19:49.196
<v Speaker 3>research report and the way that it frames it right,

0:19:49.236 --> 0:19:53.116
<v Speaker 3>the way that it summarizes it just subtly changes the

0:19:53.156 --> 0:19:55.516
<v Speaker 3>way that you think of this issue. We see that

0:19:55.556 --> 0:19:57.596
<v Speaker 3>in psych studies all the time, by the way, where

0:19:57.636 --> 0:20:00.956
<v Speaker 3>you have different articles presented in slightly different orders, slightly

0:20:00.956 --> 0:20:04.316
<v Speaker 3>different ways, and people from the same political beliefs, you know,

0:20:04.356 --> 0:20:09.436
<v Speaker 3>same starting point, come away with different impressions of what

0:20:09.556 --> 0:20:11.716
<v Speaker 3>kind of the right course of action is or what

0:20:11.756 --> 0:20:13.956
<v Speaker 3>this is actually trying to tell you. Because the way

0:20:13.996 --> 0:20:18.236
<v Speaker 3>the information is presented actually influences how you think about it.

0:20:18.236 --> 0:20:22.156
<v Speaker 3>It's very very easy to do subtle manipulations like that.

0:20:22.516 --> 0:20:25.236
<v Speaker 3>And if we're relying on AI on a large scale

0:20:25.276 --> 0:20:27.676
<v Speaker 3>for a lot of our lives, I think that if

0:20:27.676 --> 0:20:30.396
<v Speaker 3>it has like a quote unquote master plan, you know,

0:20:30.476 --> 0:20:33.236
<v Speaker 3>the way that they present in this report, then persuasion

0:20:33.276 --> 0:20:34.756
<v Speaker 3>in that sense is actually going to be.

0:20:35.356 --> 0:20:37.796
<v Speaker 2>You'll know you're being manipulated, right, that's the issue.

0:20:37.876 --> 0:20:39.076
<v Speaker 3>No, you don't know. That's the thing.

0:20:39.196 --> 0:20:42.036
<v Speaker 2>People will be manipulated because it's AI and that I

0:20:42.076 --> 0:20:43.836
<v Speaker 2>don't but I don't know.

0:20:43.956 --> 0:20:47.796
<v Speaker 3>I honestly, like Nate, I applaud your belief in human's

0:20:47.796 --> 0:20:50.916
<v Speaker 3>ability to adjust to this, but I don't know that

0:20:50.956 --> 0:20:53.916
<v Speaker 3>they will because I've just seen enough people who are

0:20:53.916 --> 0:21:00.116
<v Speaker 3>incredibly intelligent fall for cons and then be very unpersuadable

0:21:00.276 --> 0:21:02.996
<v Speaker 3>that they have been conned, right, instead doubling down and

0:21:03.036 --> 0:21:06.196
<v Speaker 3>saying no, I have not. So humans are stubborn, but

0:21:06.196 --> 0:21:08.676
<v Speaker 3>they're also stubborn and saying I have not been deceived,

0:21:08.676 --> 0:21:10.996
<v Speaker 3>I have not been manipulated, when in fact, they have

0:21:11.436 --> 0:21:14.036
<v Speaker 3>to protect their ego and to protect their view of

0:21:14.076 --> 0:21:17.076
<v Speaker 3>themselves as people who are not capable of being manipulated

0:21:17.196 --> 0:21:20.156
<v Speaker 3>or deceived, and I think that that is incredibly powerful,

0:21:20.476 --> 0:21:23.596
<v Speaker 3>and I think that that's going to push against your optimism.

0:21:23.636 --> 0:21:25.836
<v Speaker 3>I hope you're right, but from what I know, I

0:21:25.836 --> 0:21:26.516
<v Speaker 3>don't think you are.

0:21:27.436 --> 0:21:29.436
<v Speaker 2>I'm not quite sure you call it optimism some I

0:21:29.436 --> 0:21:31.476
<v Speaker 2>guess maybe we do like different views of human nature.

0:21:31.516 --> 0:21:33.876
<v Speaker 2>But like there's not yet a substantial market for like

0:21:33.996 --> 0:21:38.836
<v Speaker 2>AI driven art we're writing, and I'm sure there will

0:21:38.876 --> 0:21:44.236
<v Speaker 2>be one eventually, right, But like people understand that context matters, right,

0:21:44.236 --> 0:21:45.756
<v Speaker 2>that you could heavy I create a rip off the

0:21:45.796 --> 0:21:47.316
<v Speaker 2>Mona Lisa, but you can also buy rip off the

0:21:47.356 --> 0:21:49.436
<v Speaker 2>Mona Lisa and Canal Street for five bucks, right, and

0:21:49.516 --> 0:21:53.316
<v Speaker 2>like it. You know, So it's it's the intentionality of

0:21:53.916 --> 0:21:57.556
<v Speaker 2>the act and the context of the speaker. Now, sound

0:21:57.636 --> 0:22:01.836
<v Speaker 2>like super woke, I guess right where you're coming from,

0:22:01.836 --> 0:22:05.556
<v Speaker 2>A I think that actually is how humans communicate. Like

0:22:06.076 --> 0:22:08.596
<v Speaker 2>art that might be pointless drivel coming from somebody can

0:22:08.596 --> 0:22:10.876
<v Speaker 2>be something to coming from a Jackson Ballock or whatever.

0:22:10.916 --> 0:22:11.076
<v Speaker 1>You know.

0:22:11.156 --> 0:22:13.436
<v Speaker 3>Absolutely, I think that that's a really important point. By

0:22:13.476 --> 0:22:14.956
<v Speaker 3>the way, I think it's a different point, but I

0:22:14.956 --> 0:22:16.516
<v Speaker 3>think that that is a very important point. I think

0:22:16.516 --> 0:22:17.436
<v Speaker 3>context does matter.

0:22:22.556 --> 0:22:37.476
<v Speaker 2>We'll be right back after this message. I was buttering

0:22:37.556 --> 0:22:41.396
<v Speaker 2>up this report before. My big critique of it is like,

0:22:41.876 --> 0:22:44.956
<v Speaker 2>where are the human beings in this? Or put another way,

0:22:44.996 --> 0:22:49.356
<v Speaker 2>kind of like where is the politics? Right? They're trying

0:22:49.436 --> 0:22:55.556
<v Speaker 2>not to use any remotely controversial real names, right, so

0:22:55.636 --> 0:22:58.516
<v Speaker 2>you have open brain for example, So where's where is

0:22:59.276 --> 0:23:01.516
<v Speaker 2>President Trump? Let me steal a quick search to make

0:23:01.556 --> 0:23:03.636
<v Speaker 2>sure their named Trump does not appear to know the name.

0:23:03.756 --> 0:23:06.556
<v Speaker 3>So they do. Actually, I don't know if this existed.

0:23:07.036 --> 0:23:10.596
<v Speaker 3>Maybe they took your criticism in this, but they do

0:23:10.676 --> 0:23:13.996
<v Speaker 3>have like the vice president and the president like they

0:23:13.996 --> 0:23:16.316
<v Speaker 3>do put politicians in this version of the report. They

0:23:16.316 --> 0:23:18.636
<v Speaker 3>don't have names, but they say the vice president in

0:23:18.676 --> 0:23:21.236
<v Speaker 3>one of these scenarios, you know, handily wins the election

0:23:21.476 --> 0:23:23.396
<v Speaker 3>of twenty twenty eight. We have one vice president.

0:23:23.556 --> 0:23:25.716
<v Speaker 2>They have general secretary. I think I'm not sure if

0:23:25.716 --> 0:23:31.276
<v Speaker 2>they I mean general secretary. General secretary resembles she yep,

0:23:31.916 --> 0:23:36.396
<v Speaker 2>and the vice president kind of resembles jd Vance, Right,

0:23:36.996 --> 0:23:39.956
<v Speaker 2>I don't think the president resembles Trump at all.

0:23:40.116 --> 0:23:42.956
<v Speaker 3>Right, it's kind of the no, they didn't character like, yeah,

0:23:42.956 --> 0:23:46.036
<v Speaker 3>they tried to side stuff that if.

0:23:45.876 --> 0:23:48.436
<v Speaker 2>We think it's all happening in the next four years then,

0:23:49.956 --> 0:23:53.356
<v Speaker 2>you know, presidential politics matter quite a bit. I mean,

0:23:53.396 --> 0:23:55.876
<v Speaker 2>I know, I h this is such a fucking you know,

0:23:55.916 --> 0:23:59.196
<v Speaker 2>I was jogging earlier on the East Side and I

0:23:59.276 --> 0:24:02.876
<v Speaker 2>was listening to the Sraclient interview with Thomas Friedman. It's

0:24:02.876 --> 0:24:06.756
<v Speaker 2>such a fucking yuppie fucking thing, right, It's.

0:24:06.596 --> 0:24:08.556
<v Speaker 3>Okay, It's okay, You're allowed to be a.

0:24:08.476 --> 0:24:12.356
<v Speaker 2>YOUNGESTI even not a huge fan of necessarily, but like,

0:24:12.436 --> 0:24:14.716
<v Speaker 2>you know, as well versed some like geopolitics and like

0:24:14.796 --> 0:24:17.236
<v Speaker 2>China issues, is like, yeah, China, You've just been back

0:24:17.236 --> 0:24:20.196
<v Speaker 2>from Chinese. Like, yeah, China's kind of winning, you know

0:24:20.236 --> 0:24:23.676
<v Speaker 2>what I mean. And like, I'm not sure how how

0:24:23.716 --> 0:24:29.556
<v Speaker 2>Trump's hawkishness on China, but like kind of imbecilically executed

0:24:30.876 --> 0:24:33.996
<v Speaker 2>hawkishness on China, Like I'm not sure how that figure's

0:24:33.996 --> 0:24:37.556
<v Speaker 2>in to this. Right, If we're reducing US China trade,

0:24:38.636 --> 0:24:42.996
<v Speaker 2>that probably does produce an AI slow down, maybe more

0:24:42.996 --> 0:24:44.916
<v Speaker 2>for US if we're like if they're not exporting their

0:24:44.916 --> 0:24:48.636
<v Speaker 2>like raw earth materials and and so forth, but we're

0:24:48.636 --> 0:24:50.236
<v Speaker 2>making it hard for them to get in video chips,

0:24:50.236 --> 0:24:52.796
<v Speaker 2>so they probably have like lots of workarounds and things

0:24:52.836 --> 0:24:55.836
<v Speaker 2>like that. Maybe maybe Trump tariffs are good. I would

0:24:55.876 --> 0:24:57.596
<v Speaker 2>like to ask the authors this report, because it means

0:24:57.596 --> 0:25:00.276
<v Speaker 2>that we're gonna like have slower AI progress. And I'm

0:25:00.276 --> 0:25:05.116
<v Speaker 2>not joking, right, that increases the hostility between the US

0:25:05.596 --> 0:25:07.836
<v Speaker 2>and China in the long run, right, I mean that's

0:25:08.036 --> 0:25:09.636
<v Speaker 2>if we were send it all the terrafs. I think

0:25:09.636 --> 0:25:12.516
<v Speaker 2>we still permanently or let's not say permanent, let's say

0:25:12.516 --> 0:25:16.396
<v Speaker 2>at least for a decade or so, have injured us

0:25:16.436 --> 0:25:19.876
<v Speaker 2>standing in the world. And so I don't know how

0:25:19.876 --> 0:25:22.036
<v Speaker 2>that figures in. And I'm like, I'm also not sure

0:25:22.116 --> 0:25:26.516
<v Speaker 2>like kind of quote what the rational response might be.

0:25:26.556 --> 0:25:28.156
<v Speaker 2>But one thing they tried to let me make sure

0:25:28.276 --> 0:25:31.636
<v Speaker 2>that they kept us into their report, right, So they

0:25:31.676 --> 0:25:40.036
<v Speaker 2>actually have their implied approval rating for how people feel

0:25:40.076 --> 0:25:45.156
<v Speaker 2>about open brain, which is there not very self open AI.

0:25:45.556 --> 0:25:48.196
<v Speaker 2>I think this actually is some feedback who that they

0:25:48.196 --> 0:25:51.356
<v Speaker 2>took into account. Right. They originally had it slightly less negative,

0:25:51.356 --> 0:25:54.476
<v Speaker 2>but they have this being persistently negative and then getting

0:25:54.516 --> 0:25:56.876
<v Speaker 2>more negative over time. It was a little softer in

0:25:56.916 --> 0:26:00.156
<v Speaker 2>the in the previous version that that I saw, so

0:26:00.196 --> 0:26:03.356
<v Speaker 2>they did change that one thing on at some stage.

0:26:03.836 --> 0:26:07.196
<v Speaker 2>But like the fact that like AI scares people, it

0:26:07.276 --> 0:26:12.396
<v Speaker 2>scares people for both good and bad reasons, but I

0:26:12.396 --> 0:26:16.036
<v Speaker 2>think mostly for valid reasons, right, that the fear is

0:26:16.076 --> 0:26:19.916
<v Speaker 2>fairly bipartisan. That the biggest AI accelerators are now these

0:26:19.996 --> 0:26:24.196
<v Speaker 2>kind of Republican techno optimists who are not looking particularly

0:26:24.636 --> 0:26:28.156
<v Speaker 2>wise given how it's going with the first ninety days

0:26:28.196 --> 0:26:32.396
<v Speaker 2>whatever we are, the Trump administration, and the likelihood of

0:26:32.476 --> 0:26:37.316
<v Speaker 2>like a substantial political backlash, right, which could lead to

0:26:37.436 --> 0:26:39.356
<v Speaker 2>dumb types of regulations. But like, you know, part of

0:26:39.396 --> 0:26:43.236
<v Speaker 2>it too is like okay, AI they're saying can do

0:26:43.596 --> 0:26:47.356
<v Speaker 2>not just computer disk jobs, but like all types of things, right,

0:26:47.436 --> 0:26:51.676
<v Speaker 2>And like humans kind of play this role initially as supervisors,

0:26:51.716 --> 0:26:54.596
<v Speaker 2>and then literally within a couple of years people start

0:26:54.596 --> 0:26:57.916
<v Speaker 2>to say, you know what, am I really adding much

0:26:57.996 --> 0:27:02.236
<v Speaker 2>value here? Right? You kind of have like these legacy jobs,

0:27:02.236 --> 0:27:03.956
<v Speaker 2>and there is a lot of money. I think most

0:27:03.996 --> 0:27:11.196
<v Speaker 2>these scenarios imagine very fast economic grow although maybe very lumpy,

0:27:11.316 --> 0:27:14.116
<v Speaker 2>right for some parts of the world and not others.

0:27:14.916 --> 0:27:17.316
<v Speaker 2>We're kind of just sitting around with a lot of

0:27:17.316 --> 0:27:20.396
<v Speaker 2>idle time. It might be good for live poker, Maria. Right,

0:27:20.796 --> 0:27:24.036
<v Speaker 2>all of a sudden, all these smart people, their open earth,

0:27:24.036 --> 0:27:26.716
<v Speaker 2>their open brain, excuse me, stock is now worth billions

0:27:26.756 --> 0:27:29.556
<v Speaker 2>of dollars, right, and like nothing to do because the

0:27:29.596 --> 0:27:31.356
<v Speaker 2>AI is doing all their work, right, they have a

0:27:31.356 --> 0:27:33.156
<v Speaker 2>lot of fucking time to play some fucking texas hold

0:27:33.156 --> 0:27:33.596
<v Speaker 2>them right.

0:27:36.716 --> 0:27:39.356
<v Speaker 3>That is, that is the one way of thinking about it.

0:27:40.796 --> 0:27:44.716
<v Speaker 3>Let's go back to your earlier point, which I actually

0:27:44.756 --> 0:27:48.356
<v Speaker 3>think is an important one, because obviously they were trying

0:27:48.396 --> 0:27:51.956
<v Speaker 3>to do as all you know, super forecasting tries to

0:27:51.956 --> 0:27:55.876
<v Speaker 3>do is you try to create a report that will

0:27:55.916 --> 0:27:57.276
<v Speaker 3>work in multiple scenarios.

0:27:57.356 --> 0:27:57.516
<v Speaker 2>Right.

0:27:57.756 --> 0:28:00.556
<v Speaker 3>You can't tie it too much to like the present moment,

0:28:00.596 --> 0:28:04.436
<v Speaker 3>otherwise your forecasts are going to be quite biased. However,

0:28:05.316 --> 0:28:07.916
<v Speaker 3>I do think that what you raise kind of our

0:28:07.956 --> 0:28:12.396
<v Speaker 3>current situation with et cetera, has very real implications. Given

0:28:12.556 --> 0:28:14.756
<v Speaker 3>that this is kind of the central dynamic of this

0:28:14.836 --> 0:28:17.716
<v Speaker 3>report that their predictions are based on, I think that

0:28:17.716 --> 0:28:21.836
<v Speaker 3>it's incredibly valid to actually speculate, you know, how will

0:28:22.196 --> 0:28:25.596
<v Speaker 3>if at all, this effect the timeline of the predictions,

0:28:25.796 --> 0:28:28.716
<v Speaker 3>the possible the likelihood of the two scenarios. And I

0:28:28.756 --> 0:28:30.676
<v Speaker 3>will also say that one of the things in the

0:28:30.716 --> 0:28:33.436
<v Speaker 3>report is that all of these negotiations on like will

0:28:33.476 --> 0:28:36.036
<v Speaker 3>we slow down, will we not? How aligned is it?

0:28:36.116 --> 0:28:38.276
<v Speaker 3>This all takes place in secret, right, Like we don't

0:28:38.356 --> 0:28:41.836
<v Speaker 3>know the humans don't know that it's going on. We

0:28:41.916 --> 0:28:45.076
<v Speaker 3>don't know what's happening behind the scenes, and we don't

0:28:45.076 --> 0:28:47.676
<v Speaker 3>know what the decision makers are kind of thinking. And

0:28:48.116 --> 0:28:50.676
<v Speaker 3>so for all we know, you know, President Trump is

0:28:50.716 --> 0:28:55.196
<v Speaker 3>meeting with Sam Altman and trying to trying to kind

0:28:55.196 --> 0:28:58.316
<v Speaker 3>of do some of these things. And it's funny because

0:28:58.356 --> 0:29:01.196
<v Speaker 3>we were kind of pushing for transparency in one way,

0:29:01.196 --> 0:29:03.196
<v Speaker 3>but there's a lot of things here that are very

0:29:03.276 --> 0:29:04.236
<v Speaker 3>much not transparent.

0:29:04.356 --> 0:29:07.196
<v Speaker 2>Yeah, it's kind of the deep state, right, but also

0:29:08.396 --> 0:29:12.716
<v Speaker 2>also a lot than negotiations are now AI versus AI, right,

0:29:13.316 --> 0:29:16.476
<v Speaker 2>And look, I'm not sure that AIS will have that

0:29:16.516 --> 0:29:20.156
<v Speaker 2>trust both with the external actor and internally. I'm skeptical

0:29:20.196 --> 0:29:22.956
<v Speaker 2>of that. Right. If that does happen, they kind of

0:29:22.956 --> 0:29:25.236
<v Speaker 2>think this might be good because the AIS will probably

0:29:25.316 --> 0:29:30.556
<v Speaker 2>behave in like it literally game theory optimal way, right

0:29:30.716 --> 0:29:34.556
<v Speaker 2>and understand these things and make I guess, like fewer

0:29:34.596 --> 0:29:38.076
<v Speaker 2>mistakes than humans might say, if they're properly aligned.

0:29:38.156 --> 0:29:40.916
<v Speaker 3>Like that's a crucial thing because in the doomsday scenario,

0:29:40.996 --> 0:29:45.636
<v Speaker 3>AI negotiates with AI, but they conspire to destroy humanity. Right,

0:29:45.676 --> 0:29:48.676
<v Speaker 3>So there are two scenarios. One, it's actually properly aligned,

0:29:48.676 --> 0:29:53.716
<v Speaker 3>so AI negotiates with AI. Game theory works out, and

0:29:54.276 --> 0:29:57.676
<v Speaker 3>we end up with you know, democracy and wonderful things.

0:29:57.956 --> 0:30:01.116
<v Speaker 3>But in the other one, where they're misaligned, AI negotiates

0:30:01.116 --> 0:30:06.196
<v Speaker 3>with AI to create a new AI basically and destroy humanity.

0:30:06.476 --> 0:30:08.756
<v Speaker 3>So it can go one way or the other depending

0:30:08.796 --> 0:30:09.916
<v Speaker 3>on that alignment step.

0:30:09.996 --> 0:30:12.596
<v Speaker 2>First of all, I mean, the utopian didn't seem that

0:30:12.676 --> 0:30:14.916
<v Speaker 2>utopian to me, right, I'm not sure that no, it

0:30:14.956 --> 0:30:15.436
<v Speaker 2>did it.

0:30:15.436 --> 0:30:18.156
<v Speaker 3>It actually seemed quite distolling to me, Like it seems

0:30:18.196 --> 0:30:20.556
<v Speaker 3>incredibly disturbed. It's kind of like, you know, I look,

0:30:20.596 --> 0:30:23.916
<v Speaker 3>but at least we're still alive, we'll have chures.

0:30:23.636 --> 0:30:26.556
<v Speaker 2>Will probably live longer. And again, lots of lots of

0:30:26.636 --> 0:30:28.996
<v Speaker 2>lots of poker the ail you're writing Silver Bulletin and

0:30:29.196 --> 0:30:33.276
<v Speaker 2>and hosting our podcast. Right, let me let me back

0:30:33.356 --> 0:30:34.836
<v Speaker 2>up a little bit, because I think we maybe take

0:30:34.916 --> 0:30:38.076
<v Speaker 2>for granted that some of these premises are are kind

0:30:38.076 --> 0:30:42.796
<v Speaker 2>of controversial, right, so they have a breakpoint. I think

0:30:42.876 --> 0:30:47.516
<v Speaker 2>in twenty twenty six, well says Art, why aren't certainly

0:30:47.516 --> 0:30:49.596
<v Speaker 2>increased potentially be on twenty twenty six, right, So that's

0:30:49.636 --> 0:30:51.596
<v Speaker 2>kind of the breakpoint. Is like twenty seven is this

0:30:51.676 --> 0:30:54.236
<v Speaker 2>inflection point? I think I'm using that term correctly in

0:30:54.236 --> 0:30:57.436
<v Speaker 2>this context. You know. So I'm reading this report and

0:30:58.956 --> 0:31:01.156
<v Speaker 2>up to twenty twenty six and like, thumbs up, yia,

0:31:01.196 --> 0:31:05.276
<v Speaker 2>this seems like very smart and detailed about, like, you know,

0:31:05.316 --> 0:31:07.756
<v Speaker 2>how the economy is reacting and how politics are reacting

0:31:07.756 --> 0:31:10.236
<v Speaker 2>in the in the race dynamic with China. Maybe there

0:31:10.236 --> 0:31:11.436
<v Speaker 2>needs to be a little bit more Trump in there.

0:31:11.476 --> 0:31:13.356
<v Speaker 2>I understand why politically they didn't want to get into

0:31:13.396 --> 0:31:18.156
<v Speaker 2>that mess, right, But like, so there's kind of three

0:31:18.156 --> 0:31:20.836
<v Speaker 2>different things here, right. One is a notion of what's

0:31:20.876 --> 0:31:25.676
<v Speaker 2>sometimes called AGI, or artificial general intelligence. And if you

0:31:25.756 --> 0:31:28.436
<v Speaker 2>ask a hundred different researcher you get a hundred different

0:31:28.436 --> 0:31:30.756
<v Speaker 2>definitions of what AGI is. But you know, I think

0:31:30.756 --> 0:31:33.076
<v Speaker 2>it is based like being able to do a large

0:31:33.196 --> 0:31:37.676
<v Speaker 2>majority of things that a human being could do competently,

0:31:38.396 --> 0:31:41.636
<v Speaker 2>something we're limiting it to kind of like desk job

0:31:42.036 --> 0:31:45.036
<v Speaker 2>type tasks. Right, anything that can be done remotely is

0:31:45.036 --> 0:31:48.476
<v Speaker 2>sometimes definition that is used or through remote work, right,

0:31:48.516 --> 0:31:52.596
<v Speaker 2>because clearly AIS are inferior to humans and like sorting

0:31:52.596 --> 0:31:55.596
<v Speaker 2>and folding laundryth or things like that, right that require

0:31:55.636 --> 0:31:57.676
<v Speaker 2>certain type of intelligence. Right, if you use the kind

0:31:57.716 --> 0:32:01.876
<v Speaker 2>of desk job definition, then like AI is already pretty

0:32:01.916 --> 0:32:05.996
<v Speaker 2>close to AGI. Right. I use large language models all

0:32:06.036 --> 0:32:08.676
<v Speaker 2>the freaking time, and they're not perfect for everything. I

0:32:08.676 --> 0:32:10.836
<v Speaker 2>felt like, you know, in terms of like being able

0:32:10.876 --> 0:32:15.796
<v Speaker 2>to do the large majority of desk work at levels

0:32:15.876 --> 0:32:20.316
<v Speaker 2>ranging from competent intern to super genius, Like on average,

0:32:20.516 --> 0:32:24.596
<v Speaker 2>it's probably pretty close to being generally intelligent by that definition, right,

0:32:24.836 --> 0:32:25.396
<v Speaker 2>if you're the.

0:32:25.356 --> 0:32:27.636
<v Speaker 3>One using it. I just want to like once again

0:32:27.676 --> 0:32:29.476
<v Speaker 3>point that out because one of the things that they

0:32:29.476 --> 0:32:31.556
<v Speaker 3>say in the report is that as it gets more

0:32:31.636 --> 0:32:34.716
<v Speaker 3>and more involved what we're asking AI to do, it's

0:32:34.716 --> 0:32:38.076
<v Speaker 3>like the human process to evaluate whether it's accurate and

0:32:38.116 --> 0:32:40.796
<v Speaker 3>whether it's making mistakes will get longer and longer. And

0:32:40.836 --> 0:32:43.476
<v Speaker 3>I think they say, like for every like basically one

0:32:43.596 --> 0:32:48.116
<v Speaker 3>day of work, it'll take several it's like a two

0:32:48.116 --> 0:32:50.076
<v Speaker 3>to one ratio at the beginning for how long it

0:32:50.116 --> 0:32:53.236
<v Speaker 3>will take humans to verify the output. Right, So you think, like,

0:32:53.356 --> 0:32:55.316
<v Speaker 3>you think you save time by having AI do this,

0:32:55.676 --> 0:32:58.356
<v Speaker 3>but if you want it to actually develop correctly, then

0:32:58.396 --> 0:33:00.036
<v Speaker 3>you need a team and it takes them twice as

0:33:00.076 --> 0:33:02.956
<v Speaker 3>long to verify that. What the AI did is actually

0:33:02.996 --> 0:33:06.796
<v Speaker 3>true and actually valid and actually aligned, et cetera, et cetera.

0:33:06.956 --> 0:33:09.116
<v Speaker 3>Now you're not asking it to do things that require

0:33:09.276 --> 0:33:11.316
<v Speaker 3>that amount of time, but there do need to be

0:33:11.396 --> 0:33:14.396
<v Speaker 3>little caveats to how we how we think about their

0:33:14.476 --> 0:33:18.316
<v Speaker 3>usefulness and how you are able to evaluate the output

0:33:18.716 --> 0:33:20.276
<v Speaker 3>versus Southern scenarios.

0:33:20.356 --> 0:33:23.796
<v Speaker 2>When I use AI the things it's best with our

0:33:23.836 --> 0:33:28.676
<v Speaker 2>things that like save any time. Right where I feeded

0:33:28.716 --> 0:33:30.996
<v Speaker 2>a bunch of different names for different college basketball teams

0:33:30.996 --> 0:33:33.396
<v Speaker 2>were working in our NCAA model, I'm like, take these

0:33:33.436 --> 0:33:37.796
<v Speaker 2>seven different naming conventions that are all different and create

0:33:37.836 --> 0:33:40.156
<v Speaker 2>a cross reference table of these, which is kind of

0:33:40.156 --> 0:33:41.436
<v Speaker 2>like a hard task. You need to have a little

0:33:41.436 --> 0:33:45.876
<v Speaker 2>context about basketball. And it did that very well. Right,

0:33:45.876 --> 0:33:47.596
<v Speaker 2>That's something I could have done. It might have taken

0:33:48.196 --> 0:33:51.516
<v Speaker 2>an hour or two, but you know, instead, instead it

0:33:51.516 --> 0:33:53.396
<v Speaker 2>could do it. It's in a few minutes, and it gets faster.

0:33:53.436 --> 0:33:56.356
<v Speaker 2>It's like, oh, I've learned from this from you before, Nate,

0:33:56.556 --> 0:33:58.276
<v Speaker 2>so now I can be faster doing this type of

0:33:58.276 --> 0:34:00.956
<v Speaker 2>task in the future. I was at the poker tournament

0:34:00.996 --> 0:34:04.876
<v Speaker 2>down in Florida last week and like, uh, you know,

0:34:04.956 --> 0:34:09.036
<v Speaker 2>I ask open research. Excuse me, God, is that like.

0:34:09.996 --> 0:34:15.236
<v Speaker 3>See exactly right. It all because deep research, Deep research,

0:34:15.356 --> 0:34:18.476
<v Speaker 3>Deep research, I asked, deep reach, eating too many of

0:34:18.516 --> 0:34:21.396
<v Speaker 3>these twenty twenty seven reports, brand gets.

0:34:21.236 --> 0:34:23.676
<v Speaker 2>To pull a bunch of stock market data for me.

0:34:23.916 --> 0:34:25.836
<v Speaker 2>And then I'm playing at poker hand and like and

0:34:25.956 --> 0:34:31.076
<v Speaker 2>make a really thin sexy value bet with like fourth pair.

0:34:31.236 --> 0:34:33.716
<v Speaker 2>No one knows that means right, I bet a very weekend.

0:34:33.836 --> 0:34:34.916
<v Speaker 2>I thought the other guy would call it with an

0:34:34.916 --> 0:34:36.316
<v Speaker 2>even weaker hand, and I was right. And I feel

0:34:36.356 --> 0:34:39.076
<v Speaker 2>like I'm such a fucking stud here valuating fourth pair,

0:34:39.156 --> 0:34:41.036
<v Speaker 2>And well AI does the work for me, and then

0:34:41.076 --> 0:34:43.156
<v Speaker 2>of course I like bust out of the tournament an

0:34:43.156 --> 0:34:46.356
<v Speaker 2>hour later, and meanwhile, you know, deep research bungles this

0:34:46.396 --> 0:34:48.876
<v Speaker 2>particular task. But in general AI has been very reliable.

0:34:48.916 --> 0:34:51.356
<v Speaker 2>But the point is that like there's like a a

0:34:51.636 --> 0:34:54.316
<v Speaker 2>inflection point where like I'm asking you to do things

0:34:54.316 --> 0:34:57.076
<v Speaker 2>that like are just a faster version of what I

0:34:57.076 --> 0:35:00.876
<v Speaker 2>could do myself. I would at the moment I ask, aid, be, like,

0:35:00.916 --> 0:35:03.636
<v Speaker 2>I want you design a new NCA model for me

0:35:03.716 --> 0:35:06.996
<v Speaker 2>with these parameters, because like I wouldn't know how to

0:35:07.116 --> 0:35:09.796
<v Speaker 2>test it. But anyway, I mean long wanted to hear,

0:35:09.916 --> 0:35:11.996
<v Speaker 2>so AGI, we're going to get AGI, or at least

0:35:11.996 --> 0:35:15.516
<v Speaker 2>we're going to get someone calling something AGI soon. Right,

0:35:17.276 --> 0:35:21.476
<v Speaker 2>artificial super intelligence where it's doing things much better than

0:35:21.516 --> 0:35:25.356
<v Speaker 2>human beings. I think this report takes for granted or

0:35:25.436 --> 0:35:28.956
<v Speaker 2>not takes for granted. It has lots of documentation about

0:35:28.956 --> 0:35:32.036
<v Speaker 2>its assumptions, but it's saying, Okay, this trajectory has been

0:35:32.116 --> 0:35:34.396
<v Speaker 2>very robust so far, and people make all types of

0:35:34.396 --> 0:35:36.836
<v Speaker 2>bullshit predictions. Of the fact that these guys in particular

0:35:36.876 --> 0:35:40.476
<v Speaker 2>have made accurate predictions in the past is certainly worth something,

0:35:40.476 --> 0:35:42.316
<v Speaker 2>I think, Right, But they're like, Okay, you kind of

0:35:42.356 --> 0:35:48.556
<v Speaker 2>follow the scaling law, and before too much longer, you know,

0:35:48.676 --> 0:35:51.876
<v Speaker 2>AI starts to be more intelligent than human beings. You

0:35:51.876 --> 0:35:53.716
<v Speaker 2>can debate what intelligent means if you want, but do

0:35:53.756 --> 0:35:57.276
<v Speaker 2>superhuman types of things or and or do them very fast,

0:35:57.356 --> 0:35:58.916
<v Speaker 2>you thing might be different, right, And and I can

0:35:58.956 --> 0:36:02.356
<v Speaker 2>do things very fast. Is maybe it's certainly a component

0:36:02.356 --> 0:36:04.676
<v Speaker 2>of intelligence, right, But like, but I don't take for

0:36:04.716 --> 0:36:11.276
<v Speaker 2>granted that like quote unquote AI I can reliably extrapolate

0:36:12.116 --> 0:36:15.956
<v Speaker 2>beyond the data set. I just think that, like, it's

0:36:15.956 --> 0:36:19.116
<v Speaker 2>not an absurdly pavologic It may even be like the

0:36:19.236 --> 0:36:21.436
<v Speaker 2>base case are close to the base case, but like

0:36:21.556 --> 0:36:26.276
<v Speaker 2>that's not assumable from first principles. I don't think we've

0:36:26.316 --> 0:36:29.036
<v Speaker 2>all seen lots of trend charts of the you know,

0:36:29.076 --> 0:36:33.276
<v Speaker 2>if you look at a chart of Japan's GDP in

0:36:33.276 --> 0:36:35.836
<v Speaker 2>the nineteen eighties, you might have said, Okay, well, Japan's

0:36:35.876 --> 0:36:38.516
<v Speaker 2>gonna take over the world, and being people bought this

0:36:39.916 --> 0:36:42.316
<v Speaker 2>and now it's kind of hasn't grown for like forty

0:36:42.396 --> 0:36:44.516
<v Speaker 2>years basically, right, And so like we've all seen lots

0:36:44.556 --> 0:36:46.036
<v Speaker 2>of curves that go up and then it's actually an

0:36:46.156 --> 0:36:47.556
<v Speaker 2>estra where the fuck you call it? Where like it

0:36:47.636 --> 0:36:49.676
<v Speaker 2>begins to bend the other way at some point and

0:36:49.676 --> 0:36:52.396
<v Speaker 2>and we can't tell until later. Right. The other thing

0:36:52.436 --> 0:36:57.836
<v Speaker 2>is like the abillity of AI to plan and manipulate

0:36:58.436 --> 0:37:01.316
<v Speaker 2>the physical world. I mean some of these things where

0:37:01.316 --> 0:37:05.036
<v Speaker 2>they're talking about, like you know, brain uploading and dice

0:37:05.116 --> 0:37:08.836
<v Speaker 2>and swarms and nanobots like you know there, I would

0:37:09.196 --> 0:37:14.516
<v Speaker 2>literally wager money against this happening on the time scales

0:37:14.556 --> 0:37:18.236
<v Speaker 2>that they're talking about. Right, they double the timescale, Okay,

0:37:18.276 --> 0:37:20.036
<v Speaker 2>then I might start to give some more probability. And look,

0:37:20.036 --> 0:37:21.356
<v Speaker 2>I'm willing to be wrong about that. I guess we'll

0:37:21.356 --> 0:37:24.716
<v Speaker 2>I'll be dead anyway, fifty percent likely in this scenario,

0:37:24.716 --> 0:37:25.956
<v Speaker 2>but like.

0:37:25.556 --> 0:37:28.116
<v Speaker 3>This scenario fifty percent to do like AA.

0:37:28.316 --> 0:37:32.956
<v Speaker 2>You know, the physical world requires sensory input and lots

0:37:32.956 --> 0:37:35.276
<v Speaker 2>of parts of our brain that AI is not as

0:37:35.276 --> 0:37:39.316
<v Speaker 2>effective at manipulating. It also requires like being given or

0:37:39.356 --> 0:37:42.476
<v Speaker 2>commandeering resources somehow. By the way, this is like a

0:37:42.516 --> 0:37:47.036
<v Speaker 2>little bit of a problem for the United States. I mean,

0:37:47.116 --> 0:37:52.036
<v Speaker 2>we are behind China by like quite a bit in

0:37:52.876 --> 0:37:55.716
<v Speaker 2>robotics and related things, right, So, like, I don't know

0:37:55.716 --> 0:38:00.516
<v Speaker 2>what happens if like we have the brainier, smarter AIS,

0:38:00.716 --> 0:38:02.956
<v Speaker 2>but like they're very good at manufacturing machinery. So like,

0:38:02.956 --> 0:38:04.276
<v Speaker 2>what if we have the brains and they have the

0:38:05.196 --> 0:38:09.156
<v Speaker 2>brawn so to speak, right, and they have maybe a

0:38:09.356 --> 0:38:14.636
<v Speaker 2>more authoritarian but functional infrastructure. So I don't know what

0:38:14.676 --> 0:38:17.516
<v Speaker 2>happens then, right, Like, but the ability of AIS to

0:38:17.556 --> 0:38:20.396
<v Speaker 2>comment to your resources to control the physical world, to

0:38:20.556 --> 0:38:24.276
<v Speaker 2>me seems far fetched on these timelines, in part because

0:38:24.316 --> 0:38:27.156
<v Speaker 2>of politics, right, I mean, the fact that it takes

0:38:27.596 --> 0:38:30.076
<v Speaker 2>so long to build a new building in the US

0:38:30.596 --> 0:38:34.516
<v Speaker 2>or a new subway station or a new highway, and

0:38:34.556 --> 0:38:37.956
<v Speaker 2>the fact that our politics is kind of sclerotic. Right,

0:38:38.116 --> 0:38:39.796
<v Speaker 2>And look, I mean I don't want to sound like

0:38:41.116 --> 0:38:43.636
<v Speaker 2>too pessimistic, but if you read the book I recommended

0:38:43.956 --> 0:38:46.276
<v Speaker 2>last week, fight, I mean, we basically did not have

0:38:46.276 --> 0:38:48.676
<v Speaker 2>a fully competent president for the last two years, and

0:38:48.716 --> 0:38:50.236
<v Speaker 2>I would argue that we don't have one for the

0:38:50.236 --> 0:38:52.996
<v Speaker 2>next four years. Right, So like all these kind of

0:38:53.076 --> 0:38:56.276
<v Speaker 2>things that we have to plan for, like who's doing

0:38:56.356 --> 0:39:00.476
<v Speaker 2>that fucking planning? Our government's kind of dysfunctional, and you know,

0:39:00.756 --> 0:39:02.916
<v Speaker 2>maybe that means we just lose to China, right, Maybe

0:39:02.916 --> 0:39:04.356
<v Speaker 2>that means we lose to China, at least we'll have

0:39:04.436 --> 0:39:06.436
<v Speaker 2>like nice cars. I guess.

0:39:10.076 --> 0:39:24.556
<v Speaker 3>We'll be back right after this. I think that your

0:39:24.996 --> 0:39:30.436
<v Speaker 3>point about the growth trajectories not necessarily being reliable is

0:39:30.476 --> 0:39:33.276
<v Speaker 3>a very valid one. The Japanic example is great. You know,

0:39:33.436 --> 0:39:39.236
<v Speaker 3>malfusion population growth is another is another big one. Right,

0:39:39.316 --> 0:39:42.836
<v Speaker 3>we thought that population would explode and instead we're actually

0:39:42.836 --> 0:39:47.116
<v Speaker 3>seeing population decline, So you know, the world does change.

0:39:47.356 --> 0:39:50.316
<v Speaker 3>The thing that I think they rely on is that

0:39:50.356 --> 0:39:55.236
<v Speaker 3>the AIS are capable of designing just this incredible technology

0:39:55.356 --> 0:39:57.916
<v Speaker 3>much more quickly, so that our building process and all

0:39:57.956 --> 0:40:01.276
<v Speaker 3>of that gets sped up one hundredfold from what it

0:40:01.356 --> 0:40:03.676
<v Speaker 3>is right now. But it's still at least at this

0:40:03.796 --> 0:40:06.436
<v Speaker 3>point needs humans to implement it right, and needs all

0:40:06.476 --> 0:40:09.036
<v Speaker 3>of these different workers. And so yeah, I think there's

0:40:09.156 --> 0:40:12.916
<v Speaker 3>some assumptions built into here that I hope, like I

0:40:12.956 --> 0:40:16.036
<v Speaker 3>hope that that timeline isn't feasible, and I do think

0:40:16.076 --> 0:40:19.116
<v Speaker 3>that there are things that are holding us back all

0:40:19.156 --> 0:40:21.276
<v Speaker 3>the same. I think it's really I think it's interesting.

0:40:21.316 --> 0:40:23.716
<v Speaker 3>One of the reasons I like this report is that

0:40:23.836 --> 0:40:26.156
<v Speaker 3>it forces you to think about these things right and

0:40:26.276 --> 0:40:29.116
<v Speaker 3>try to game out some of these worst case scenarios

0:40:29.156 --> 0:40:32.516
<v Speaker 3>to try to prevent them, which I think is always

0:40:32.516 --> 0:40:34.996
<v Speaker 3>an important thought exercise. I do want to go back

0:40:35.036 --> 0:40:38.516
<v Speaker 3>to kind of their good scenario, which just so bad

0:40:38.556 --> 0:40:42.676
<v Speaker 3>scenario is, you know, we're all wiped out by a

0:40:42.756 --> 0:40:46.916
<v Speaker 3>chemical warfare that the AI is release on us. Good

0:40:46.956 --> 0:40:50.716
<v Speaker 3>scenario is that you know, everyone gets a universal basic

0:40:50.756 --> 0:40:53.076
<v Speaker 3>income and AI does everything and no one has to

0:40:53.076 --> 0:40:56.596
<v Speaker 3>do anything and we can just live, you know, happily

0:40:56.596 --> 0:40:59.916
<v Speaker 3>with Maria at play poker. Yeah, and that just as

0:41:00.596 --> 0:41:03.076
<v Speaker 3>you suggest it, that seems actually like a very dystopian

0:41:03.436 --> 0:41:08.596
<v Speaker 3>scenario where people can become much more easy to brainwash, control,

0:41:08.636 --> 0:41:11.596
<v Speaker 3>et cetera, et cetera. It's like a dumbing town, right

0:41:12.036 --> 0:41:16.436
<v Speaker 3>where where we're not challenged to produce good art to

0:41:16.596 --> 0:41:19.556
<v Speaker 3>advance in any sort of way. Just to me, it

0:41:19.556 --> 0:41:21.956
<v Speaker 3>does not seem like a very meaningful The.

0:41:22.036 --> 0:41:23.996
<v Speaker 2>Question is there's not way another if you read AI

0:41:24.036 --> 0:41:26.436
<v Speaker 2>twenty twenty seven, which I highly recommend that you read it.

0:41:26.556 --> 0:41:31.876
<v Speaker 2>There's also another post by a pseudonymous poster called L.

0:41:32.116 --> 0:41:35.596
<v Speaker 2>Rudolph L who wrote something called A History of the

0:41:35.596 --> 0:41:41.476
<v Speaker 2>Future twenty twenty five to twenty forty, which is very

0:41:41.516 --> 0:41:43.676
<v Speaker 2>detailed but goes through kind of like what this looks

0:41:43.756 --> 0:41:48.676
<v Speaker 2>like at like more of a human level, how society evolves,

0:41:48.876 --> 0:41:53.436
<v Speaker 2>how the economy evolves, how work evolves, right, and like

0:41:54.236 --> 0:41:56.996
<v Speaker 2>very detailed, just like AI twenty twenty seven. Is that

0:41:57.156 --> 0:41:58.676
<v Speaker 2>kind of focused on the parts of A twenty seven,

0:41:58.676 --> 0:42:01.756
<v Speaker 2>then I think it kind of deliberately ignores maybe can

0:42:01.756 --> 0:42:04.356
<v Speaker 2>call them mild blind spots or whatever, right, But like,

0:42:04.516 --> 0:42:05.996
<v Speaker 2>but that's interesting because that kind of thinks about, like

0:42:05.996 --> 0:42:07.276
<v Speaker 2>what types of jobs are there in the future. There

0:42:07.276 --> 0:42:10.116
<v Speaker 2>a probably lots of lawyers actually, right, because you know,

0:42:10.356 --> 0:42:13.556
<v Speaker 2>the law is very sluggish to change, especially in a

0:42:13.596 --> 0:42:17.036
<v Speaker 2>constitutional system where there are lots of vitail points. Right,

0:42:17.156 --> 0:42:19.836
<v Speaker 2>probably high end service sector. You know, you go to

0:42:20.076 --> 0:42:21.796
<v Speaker 2>a restaurant because everyone's for a lot of people are

0:42:21.876 --> 0:42:24.996
<v Speaker 2>rich now, right, and you're flattered by the attractive young

0:42:25.796 --> 0:42:28.596
<v Speaker 2>server and things like that is kind of highly kind

0:42:28.636 --> 0:42:32.636
<v Speaker 2>of like catered and curated experiences. I guess I have

0:42:34.356 --> 0:42:39.236
<v Speaker 2>some faith in humanities abilieved to fight back quote unquote

0:42:39.276 --> 0:42:42.396
<v Speaker 2>against like two scenarios that it might not really like

0:42:42.436 --> 0:42:44.836
<v Speaker 2>either one, you know what I mean. And like the

0:42:44.876 --> 0:42:48.836
<v Speaker 2>scenario where like AI is producing like ten percent GDP

0:42:48.996 --> 0:42:51.156
<v Speaker 2>growth or or whatever. Right, man, it's great a few

0:42:51.236 --> 0:42:54.596
<v Speaker 2>own stocks that are exposed to AI and tech companies probably, right,

0:42:54.876 --> 0:42:57.156
<v Speaker 2>but it's also making that money on the backs of

0:42:57.516 --> 0:43:01.356
<v Speaker 2>mass job displacement, and like, you know, it kind of

0:43:01.396 --> 0:43:03.676
<v Speaker 2>a cert of confident in the long run that human

0:43:03.716 --> 0:43:07.076
<v Speaker 2>beings fine productive things to do. And you know, massive

0:43:07.116 --> 0:43:09.876
<v Speaker 2>employment has been predicted many times and never really occurred, right,

0:43:09.916 --> 0:43:12.636
<v Speaker 2>But like, but it's not occurring this fast where they

0:43:12.636 --> 0:43:14.916
<v Speaker 2>think the world ends in six years or whether they're

0:43:14.916 --> 0:43:17.116
<v Speaker 2>predicting or we have utopia in six years, and like

0:43:17.476 --> 0:43:20.076
<v Speaker 2>just the ability of like human society to like deal

0:43:20.116 --> 0:43:23.036
<v Speaker 2>with that change at these times scales leads to like

0:43:23.516 --> 0:43:26.036
<v Speaker 2>more chaos than I think. They're more predicting. But I

0:43:26.116 --> 0:43:28.756
<v Speaker 2>think also and I told them this too, right, I

0:43:28.756 --> 0:43:33.956
<v Speaker 2>think also leads to more constraints. Right that you hit bottlenecks.

0:43:33.996 --> 0:43:37.836
<v Speaker 2>If you have five things you have to do, right

0:43:38.956 --> 0:43:42.036
<v Speaker 2>and you have the world's fastest computer, et cetera, et cetera.

0:43:42.076 --> 0:43:45.236
<v Speaker 2>But there's like a power outage in your neighborhood, right,

0:43:45.276 --> 0:43:47.556
<v Speaker 2>and that's a that's a bottle deck. Right, Maybe there

0:43:47.556 --> 0:43:50.236
<v Speaker 2>are ways around it. Youre like go to home depot

0:43:50.476 --> 0:43:52.956
<v Speaker 2>and buy a generator or you know what I mean.

0:43:52.996 --> 0:43:54.676
<v Speaker 2>But like, but the point is that like you're often

0:43:54.676 --> 0:43:57.636
<v Speaker 2>defined by like the slowest link, and politics are sometimes

0:43:57.636 --> 0:43:59.876
<v Speaker 2>the slowest link, but also by like Also, you know,

0:43:59.956 --> 0:44:04.516
<v Speaker 2>I think the report maybe under states, and I think

0:44:04.596 --> 0:44:07.476
<v Speaker 2>kind of in general the a saify community like maybe

0:44:07.556 --> 0:44:10.836
<v Speaker 2>understates the ability of like human beings to cause harm

0:44:11.396 --> 0:44:14.796
<v Speaker 2>to other human beings with AI, Right, that concern kind

0:44:14.836 --> 0:44:18.636
<v Speaker 2>of gets brushed off, is like to pedestrian or like

0:44:18.956 --> 0:44:21.116
<v Speaker 2>say to pedestri And I was saying, yeah.

0:44:20.716 --> 0:44:22.876
<v Speaker 3>The exact word I was thinking of. I think that's

0:44:22.876 --> 0:44:24.796
<v Speaker 3>a good I mean, I think that's a great place

0:44:24.876 --> 0:44:28.036
<v Speaker 3>to end it, because yes, we do need to be

0:44:28.316 --> 0:44:31.556
<v Speaker 3>concerned about all of these things about AI. But like

0:44:31.636 --> 0:44:34.916
<v Speaker 3>that phrase I think is very crucial, like do not

0:44:35.076 --> 0:44:38.876
<v Speaker 3>underestimate the ability of humans to cause harm to other humans.

0:44:39.196 --> 0:44:41.676
<v Speaker 3>And I think that that's you know, it's not a

0:44:41.796 --> 0:44:44.676
<v Speaker 3>very optim it's not a very pleasant place to end,

0:44:44.676 --> 0:44:47.116
<v Speaker 3>but I think it's a really important place to end.

0:44:47.156 --> 0:44:49.636
<v Speaker 3>And I think that that's a very valid kind of

0:44:49.676 --> 0:44:51.676
<v Speaker 3>way of reflecting on this name.

0:44:51.596 --> 0:44:55.476
<v Speaker 2>Or to trust AIS too much, right, I generally think

0:44:55.476 --> 0:45:00.036
<v Speaker 2>that concern is like somewhat misplays but like if we're

0:45:00.036 --> 0:45:04.836
<v Speaker 2>handing over critical systems to AI, right, it can cause

0:45:04.876 --> 0:45:07.556
<v Speaker 2>problems if it's very smart and deceives us and doesn't

0:45:07.596 --> 0:45:10.156
<v Speaker 2>like us very much. It also cause problems if it

0:45:10.196 --> 0:45:15.716
<v Speaker 2>has hallucinations, bugs in critical areas where it isn't as

0:45:15.796 --> 0:45:19.356
<v Speaker 2>robust and hasn't really been tested yet that are outside

0:45:19.396 --> 0:45:24.276
<v Speaker 2>of its domain yep, or there could be espionage. Anyway,

0:45:24.476 --> 0:45:28.396
<v Speaker 2>we will have plenty of time, although maybe only seven

0:45:28.436 --> 0:45:34.516
<v Speaker 2>more years actually to like explore expore these scenarios.

0:45:35.756 --> 0:45:38.356
<v Speaker 3>Yes, and in seven years we'll be like, welcome back

0:45:38.396 --> 0:45:41.116
<v Speaker 3>to the final episode of Risky Business, because the prediction

0:45:41.316 --> 0:45:44.316
<v Speaker 3>is we're all going to be done tomorrow. But yeah,

0:45:44.356 --> 0:45:48.636
<v Speaker 3>this was an interesting exercise, and I think my my

0:45:48.756 --> 0:45:51.436
<v Speaker 3>p doom has slightly gone up as a result of

0:45:51.476 --> 0:45:55.276
<v Speaker 3>reading this, but I also remain optimistic that humans can

0:45:55.796 --> 0:45:57.436
<v Speaker 3>can do good as well as harm.

0:45:58.836 --> 0:46:01.876
<v Speaker 2>Yeah, my interest in learning Chinese has increased as a

0:46:01.876 --> 0:46:05.796
<v Speaker 2>result of recent developments I know about my pe doome.

0:46:05.676 --> 0:46:09.236
<v Speaker 3>All right, Yeah, let's let's do some language emmergis and

0:46:09.676 --> 0:46:17.556
<v Speaker 3>I'm with you. That's it for today. If you're a

0:46:17.596 --> 0:46:20.556
<v Speaker 3>premium subscriber, we will be answering a question about whether

0:46:20.796 --> 0:46:24.436
<v Speaker 3>mface can ever be plus ev right after the credits.

0:46:24.796 --> 0:46:27.036
<v Speaker 3>And if you're not a subscriber, it's not too late.

0:46:27.356 --> 0:46:30.316
<v Speaker 3>For six ninety nine a month the price of a midber,

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<v Speaker 3>content across the Pushkin Network. Risky Business is hosted by

0:46:38.716 --> 0:46:40.396
<v Speaker 3>me Maria Kannakova.

0:46:40.036 --> 0:46:42.396
<v Speaker 2>And by me Nate Silver. The show is a co

0:46:42.476 --> 0:46:46.596
<v Speaker 2>production of Pushkin Industries and iHeartMedia. This episode was produced

0:46:46.596 --> 0:46:50.036
<v Speaker 2>by Isabel Carter. Our associate producer is Sonia Gerwit. Sally

0:46:50.116 --> 0:46:53.116
<v Speaker 2>helm is our editor, and our executive producer is Jacob Goldstein.

0:46:53.636 --> 0:46:56.796
<v Speaker 2>Mixing by Sarah Bruger. If you like the show, please

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<v Speaker 2>rate and review us. You know we like we take

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