WEBVTT - EXCLUSIVE: Peter Thiel on Why AI Can’t Afford to Hit the Pause Button

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<v Speaker 1>Welcome to Tech Stuff. I'm Osvald Ossian.

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<v Speaker 2>Today, a special bonus episode featuring an exclusive conversation with

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<v Speaker 2>Peter Thiel.

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<v Speaker 3>Well, I'm still not in the pause button camp. And

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<v Speaker 3>I'm saying this on your show that I'm not in

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<v Speaker 3>the pause button. We need to hit the accelerator as

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<v Speaker 3>hard as possible.

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<v Speaker 2>That's Peter Thiel talking about the debate over existential AI

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<v Speaker 2>risk that's engulfed the leaders of the frontier labs, the president,

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<v Speaker 2>and set a global conversation alight. The interview with Thiel

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<v Speaker 2>was recorded on Wednesday, September 16th in Washington, D.C. And

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<v Speaker 2>I'm here with Mangesh Hatikula, my co-founder at Kaleidoscope. Mangesh,

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<v Speaker 2>how do we get the scoop from Thiel?

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<v Speaker 4>I mean, this is an excerpt from Kaleidoscope's forthcoming podcast,

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<v Speaker 4>The Builders, with Walter Isaacson. It is coming out in October. And,

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<v Speaker 4>you know, for The Builders, we had Walter sit down

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<v Speaker 4>with everyone from Peter Thiel to Elon Musk, the Amadeus,

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<v Speaker 4>Dario and Daniela. I mean, The list of names is insane.

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<v Speaker 4>And we're kind of in search of this question from

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<v Speaker 4>all of them, right? Whose imagination do we want to

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<v Speaker 4>live in? we're sharing this clip with the tech stuff

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<v Speaker 4>audience early because, you know, Teal's comments were so urgent

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<v Speaker 4>and so timely that we just couldn't hold onto it

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<v Speaker 4>until October. And, you know, we wanted people to get

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<v Speaker 4>a peek and Oz, I mean, I'm curious about this.

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<v Speaker 4>Did you think we'd get Peter Teal? It has taken

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<v Speaker 4>us almost one, like a year to get this interview.

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<v Speaker 4>You flew to London. We did so many calls and

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<v Speaker 4>I'm kind of just pinching myself that it happened.

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<v Speaker 3>We did.

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<v Speaker 2>I mean, we spent, we spent about a year working on,

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<v Speaker 2>on the builders and booking the guests.

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<v Speaker 1>And, uh, you know, Peter Thiel, Elon, others.

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<v Speaker 2>I mean, I think that these types of interviews, like

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<v Speaker 2>you don't quite believe they're going to happen until the

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<v Speaker 2>person is literally sitting in the seat.

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<v Speaker 3>It's insane.

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<v Speaker 4>And yeah, I mean, I didn't, I wasn't sure they

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<v Speaker 4>would happen because we got yeses and then long delays

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<v Speaker 4>and then maybes and then pushed them back to yeses

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<v Speaker 4>and stuff like that. But when we finally got the

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<v Speaker 4>approval from Thiel, it was enormous because it's actually been

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<v Speaker 4>more than a year since he sat down for a

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<v Speaker 4>formal interview. I think the last one was with The

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<v Speaker 4>New York Times and Ross Douthat. And obviously that made

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<v Speaker 4>a ton of waves. But part of the mystique is

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<v Speaker 4>that he doesn't give that many interviews.

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<v Speaker 1>He doesn't. And so we're very excited to share this clip.

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<v Speaker 2>We wanted to hit the accelerator as hard as possible,

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<v Speaker 2>you could say, on publishing it. The full episode will

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<v Speaker 2>come out on October 23rd. The series actually launches on

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<v Speaker 2>October 20th with a conversation with Elon Musk. But in

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<v Speaker 2>the meantime, here's an excerpt from The Builders of Peter

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<v Speaker 2>Thiel's in conversation with Walter Isaacson.

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<v Speaker 5>We've seen this enormous backlash in the past few weeks,

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<v Speaker 5>past few months, against AI. What is causing that?

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<v Speaker 3>Man, it's, uh, yeah, I agree with the what that

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<v Speaker 3>it's happening. You know, why questions are always, always much harder,

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<v Speaker 3>much more speculative in nature. I'm tempted to say it's

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<v Speaker 3>somewhat overdetermined. It's very unclear who the winners and losers

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<v Speaker 3>from AI will be. I think it's going to add

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<v Speaker 3>a lot to growth, but it will do so in

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<v Speaker 3>a fairly, fairly disruptive kind of a way. There are,

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<v Speaker 3>of course, these, you know, these dystopian science fiction scenarios that, uh,

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<v Speaker 3>You know, in some ways we believe, and maybe they're

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<v Speaker 3>not entirely unreasonable. So there's some small tale.

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<v Speaker 5>Dystopian mean that we'll all be white.

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<v Speaker 3>The Terminator movie, the Matrix.

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<v Speaker 5>But we've seen that Dario and Elon and Sam are

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<v Speaker 5>now talking about that.

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<v Speaker 3>And to some extent, yeah, to some extent they've, you know,

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<v Speaker 3>leaned into it or partially believed it or too many

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<v Speaker 3>of their employees believed it. And, yeah, there's some prehistory

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<v Speaker 3>where this was, was in the air for a long time.

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<v Speaker 5>I think Elon believes it for a decade.

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<v Speaker 3>Well, you know, it was in some ways when Demis

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<v Speaker 3>has created DeepMind and it gets sold to Google in

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<v Speaker 3>the fall of 2013. Elon and Sam create OpenAI the

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<v Speaker 3>next year or so after that. And it's basically, in

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<v Speaker 3>some ways, it's an anti-Google company, right? What's closed AI?

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<v Speaker 3>Closed AI is Google. And so this technology is too important,

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<v Speaker 3>too dangerous. to be just in a single company. And then,

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<v Speaker 3>of course, in some ways, that's the narrative they have

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<v Speaker 3>internally at OpenAI. And then, of course, there are people

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<v Speaker 3>who take it even more seriously than Altman. I think

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<v Speaker 3>Elon exits around 2018. And then by 2020 or thereabouts,

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<v Speaker 3>it's the seven people who start Anthropic exit from OpenAI.

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<v Speaker 3>In some sense, they want to take these issues even

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<v Speaker 3>more seriously than before. effective altruism, this idea had been

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<v Speaker 3>in the air for a while. So I think there's

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<v Speaker 3>sort of an interesting.

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<v Speaker 5>Wait, explain that, because people are now saying it's sort

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<v Speaker 5>of a psyops, or David Sachs says, conspiracy theory of

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<v Speaker 5>effective altruism. And I think even people like me vaguely

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<v Speaker 5>know what Sam Bankman-Fried was on about, but we don't

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<v Speaker 5>get that. Tell me about that.

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<v Speaker 3>Well, there's a lot of history, but even if you

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<v Speaker 3>go back to the 2000s, there was a in the

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<v Speaker 3>East Bay of Silicon Valley, Berkeley, Oakland, some of those places.

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<v Speaker 3>It wasn't where the big tech companies were being built,

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<v Speaker 3>but there was sort of a creativity with ideas. It

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<v Speaker 3>was a little bit adjacent to the, somewhat adjacent to

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<v Speaker 3>the new atheists, like Richard Dawkins and people like that,

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<v Speaker 3>but then it had sort of a specific tech angle and,

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<v Speaker 3>you know, how could you be more reasonable, rational, where

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<v Speaker 3>was the world heading? And one big idea that these

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<v Speaker 3>sort of futurists kept coming back to was that perhaps

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<v Speaker 3>something like AI could happen, that perhaps it was around.

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<v Speaker 3>It was closer than people thought. There had been an

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<v Speaker 3>AI desert for a long time. It had been overpromised

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<v Speaker 3>for many decades. But on the other hand, Moore's law

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<v Speaker 3>was still progressing. The computers were relentlessly getting more powerful,

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<v Speaker 3>and perhaps it was not a question of necessarily a

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<v Speaker 3>much better algorithm, even though there were some of those

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<v Speaker 3>things that happened on the algorithm level. But perhaps it

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<v Speaker 3>was just almost a hardware problem that once you got

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<v Speaker 3>the chips and the computers that were powerful enough, it

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<v Speaker 3>would be more likely that something like this would happen.

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<v Speaker 3>And then that this would be a very, very big

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<v Speaker 3>thing when it happened. In certain dimensions, computers were already

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<v Speaker 3>smarter than people. It was the late 1940s where computers

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<v Speaker 3>had beat mathematicians and who could do square roots faster.

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<v Speaker 3>I was sort of a pretty good chess player. And

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<v Speaker 3>so 1997, when Deep Blue beats Kasparov, the IBM just

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<v Speaker 3>computer beats Kasparov, wow, you've solved chess. And isn't chess

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<v Speaker 3>the quintessentially human activity? But there was sort of this

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<v Speaker 3>idea by the mid-2000s that this was going to start

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<v Speaker 3>happening in a number of other domains at some point

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<v Speaker 3>the next decade or two, and that this would be

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<v Speaker 3>an enormously socially transformative thing. It was maybe potentially very dangerous.

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<v Speaker 3>Maybe it could be weaponized. Maybe there were these science

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<v Speaker 3>fiction scenarios where the AI would almost become autonomous. So

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<v Speaker 3>there were very many different kinds of scenarios. And then

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<v Speaker 3>there were, of course, parts of it that were, I

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<v Speaker 3>don't know, crazy and almost cult-like. But it had maybe

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<v Speaker 3>the good dimension of a cult where there was one

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<v Speaker 3>big thing they knew that the other people did not.

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<v Speaker 3>And I think, even though there are ways I'd like

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<v Speaker 3>to be very critical of them today, There were ways

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<v Speaker 3>they got that one, you know, that one big thing, right.

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<v Speaker 3>And then, um, has a cult ever started a company

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<v Speaker 3>as successful as Anthropic. You know, I don't know. I

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<v Speaker 3>don't know what the most success, I mean, like even a,

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<v Speaker 3>even a billion dollar company seems like bigger than a

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<v Speaker 3>crazed cult could build. So you have a cult that's

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<v Speaker 3>built a company that's worth probably close to 2 trillion

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<v Speaker 3>at the IPO. It would probably be the, I don't know, sixth,

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<v Speaker 3>seventh largest company by market cap in the world built

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<v Speaker 3>in like six, seven years. Has a cult ever done

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<v Speaker 3>something like that? So, yes. So I want to be

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<v Speaker 3>critical of them, and they're things I'm uncomfortable and critical about.

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<v Speaker 3>But the first thing I would try to do is always,

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<v Speaker 3>you always want to steel man your opponents. You want

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<v Speaker 3>to try to understand them as well as they understand

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<v Speaker 3>themselves or even make their arguments better. And the way

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<v Speaker 3>I would steel man the effective altruists is, first off,

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<v Speaker 3>they got one enormously big thing right.

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<v Speaker 5>And that one enormously big thing was?

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<v Speaker 3>AI is around the corner.

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<v Speaker 5>But also that it could become misaligned with human values.

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<v Speaker 3>And then, of course, the way AI was classically defined,

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<v Speaker 3>let's say. There were all these different definitions of AI,

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<v Speaker 3>of course. It could be just sort of machine learning

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<v Speaker 3>and sort of like maybe cameras everywhere or something like that.

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<v Speaker 3>It's a sort of totalitarian AI that you have in China.

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<v Speaker 3>Or it could be this sort of super duper AI

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<v Speaker 3>with a godlike intelligence or something. which was sort of

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<v Speaker 3>the Nick Bostrom kind of fantasy. But the in-between version

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<v Speaker 3>of AI was not that it would be this dumb

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<v Speaker 3>surveillance cameras, not that it would be godlike, but it

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<v Speaker 3>would be like a human being. That had been the

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<v Speaker 3>AI test. The Turing test from the beginning was it's

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<v Speaker 3>not that it is a human being, but that can

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<v Speaker 3>fool you into thinking it's a person. And from the outputs,

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<v Speaker 3>you can't tell the difference. And yeah, that's going to

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<v Speaker 3>be a very, very big deal. And it raises even

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<v Speaker 3>basic economics questions. Is it economic compliment to people? Is

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<v Speaker 3>it a substitute for people?

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<v Speaker 5>Well, let's do both of those. There's two big things

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<v Speaker 5>it raises. One is, what will it do to human labor?

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<v Speaker 5>Will it create more jobs and more productivity? Or will

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<v Speaker 5>it pretty much put us out of work and we'll

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<v Speaker 5>have to figure out what we do? That's part of

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<v Speaker 5>the backlash, especially my students at Tulane are like, wait

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<v Speaker 5>a minute. So tell me your feeling about that backlash.

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<v Speaker 3>Okay, so let me start by answering what I think

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<v Speaker 3>will happen with a qualifier that nobody really knows and

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<v Speaker 3>nobody can be certain. I think in aggregate, on a

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<v Speaker 3>macroeconomic level, AI will increase productivity a lot. It will

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<v Speaker 3>be a fairly disinflationary force in our economy. And then

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<v Speaker 3>unless it's incredibly narrowly captured by a few companies, you'd

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<v Speaker 3>expect the median person to be better off or things like.

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<v Speaker 3>This was, you know, the Luddites in the 19th century

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<v Speaker 3>were always worried that the machines would replace the people.

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<v Speaker 3>And then, of course, what happened in practice was, yeah,

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<v Speaker 3>there were definitely various industries, sometimes even big industries, where

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<v Speaker 3>there was a lot of disruption. But then it would

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<v Speaker 3>free people up to do more productive things, to do

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<v Speaker 3>other things. And that would still be my intuition with AI.

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<v Speaker 5>But, Wilk, before you go on, you said unless it's

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<v Speaker 5>captured by a few companies, are you worried? that indeed

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<v Speaker 5>we're about to have four or five companies capture it?

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<v Speaker 3>Yeah, most of the history of tech innovation, I would

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<v Speaker 3>say for 200, 250 years, relatively small parts of the

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<v Speaker 3>innovation were captured by business. They mostly went to consumers,

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<v Speaker 3>to workers, to the rest of the economy. There are

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<v Speaker 3>ways that software and the internet were somewhat of an exception.

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<v Speaker 3>And so we had these enormously successful businesses. Maybe they

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<v Speaker 3>were natural monopolies of sorts. They were in some sense

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<v Speaker 3>good for consumers, but also extremely profitable. And there was

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<v Speaker 3>something about if you have a single e-commerce company like

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<v Speaker 3>Amazon that dominates e-commerce, it can be cheaper for consumers

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<v Speaker 3>because you have sort of one super efficient system of warehouses,

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<v Speaker 3>but then you also can have very large monopoly profits.

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<v Speaker 3>So there is a way that a lot of the

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<v Speaker 3>value gets captured by by one or a few big

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<v Speaker 3>internet businesses. And so there's a pattern matching to what

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<v Speaker 3>happened with the internet that I think people quite reasonably

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<v Speaker 3>are worried about will happen with AI, that it's an

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<v Speaker 3>even bigger market, it's a bigger technology. And so perhaps-

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<v Speaker 3>So you would try to stop that. In other words,

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<v Speaker 3>our antitrust laws- Well, the question is, is that how

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<v Speaker 3>likely do you think that's going to happen? The intuition

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<v Speaker 3>that I have on the other side is that- You know,

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<v Speaker 3>one of the, one of the questions I always like

0:13:18.780 --> 0:13:21.740
<v Speaker 3>asking companies is tell me why you have a monopoly because,

0:13:21.800 --> 0:13:24.340
<v Speaker 3>you know, we can sort of debate whether they're good

0:13:24.360 --> 0:13:26.460
<v Speaker 3>or bad for society. Obviously we have IP, we have

0:13:26.480 --> 0:13:30.540
<v Speaker 3>all kinds of good monopoly forms of monopoly. Um, but on,

0:13:30.700 --> 0:13:33.220
<v Speaker 3>on the inside, yeah, you don't want to have just

0:13:33.280 --> 0:13:37.260
<v Speaker 3>cutthroat competition where all the profits get competed away. And, um,

0:13:37.740 --> 0:13:39.780
<v Speaker 3>and the kind of narratives people tell me when they

0:13:39.820 --> 0:13:44.260
<v Speaker 3>pitch me on AI companies, they're narratives of growth of

0:13:45.230 --> 0:13:49.630
<v Speaker 3>terrific technology. They are incredibly weak on the monopoly story.

0:13:50.010 --> 0:13:52.630
<v Speaker 3>And then the felt sense of it is that it's

0:13:52.670 --> 0:13:56.920
<v Speaker 3>like this incredibly fast, dynamic race where it's been changing

0:13:56.980 --> 0:13:59.900
<v Speaker 3>a lot. DeepMind, in a sense, was in the lead

0:13:59.940 --> 0:14:04.599
<v Speaker 3>in the early 2010s. Then OpenAI with ChatGPT and the

0:14:04.640 --> 0:14:08.219
<v Speaker 3>transformer models was able to replace that. And then in

0:14:08.340 --> 0:14:11.970
<v Speaker 3>some ways, Altman locked up a lot of the chips

0:14:12.110 --> 0:14:14.210
<v Speaker 3>and built the data centers preemptively. So there were sort

0:14:14.230 --> 0:14:17.679
<v Speaker 3>of all sorts of ways he correctly leaned into this

0:14:17.880 --> 0:14:22.320
<v Speaker 3>incredibly CapEx intensive strategy. And then there still is a

0:14:22.340 --> 0:14:27.060
<v Speaker 3>sense where, you know, maybe Anthropic is a little bit

0:14:27.080 --> 0:14:30.610
<v Speaker 3>more in the pole position now than OpenAI was. And,

0:14:30.620 --> 0:14:33.610
<v Speaker 3>you know, it's always hard to exactly score these things,

0:14:33.630 --> 0:14:36.230
<v Speaker 3>but I would say that it also still feels that

0:14:36.490 --> 0:14:41.290
<v Speaker 3>Google and Meta and Grok are not that far behind.

0:14:41.310 --> 0:14:44.320
<v Speaker 3>You know, I'm not sure China is that far behind.

0:14:45.050 --> 0:14:48.040
<v Speaker 3>So it feels, if we describe it on the level

0:14:48.060 --> 0:14:53.020
<v Speaker 3>of the Shakespearean drama among these people, it's like really crazy.

0:14:53.320 --> 0:14:56.640
<v Speaker 3>So they're acting like, man, it is a fight to

0:14:56.660 --> 0:14:59.880
<v Speaker 3>the death. It is the furthest thing from monopoly imaginable.

0:15:00.300 --> 0:15:03.070
<v Speaker 3>And if it's not a monopoly, that's where I think

0:15:03.590 --> 0:15:07.750
<v Speaker 3>the benefits will be likely distributed pretty widely in society. Now,

0:15:07.930 --> 0:15:09.790
<v Speaker 3>if I had to steel man the anxiety, which was

0:15:10.350 --> 0:15:12.750
<v Speaker 3>your starting question, I think you could have a lot

0:15:12.770 --> 0:15:15.460
<v Speaker 3>of growth. And the median person could be better off.

0:15:15.880 --> 0:15:18.740
<v Speaker 3>But it's with a lot of volatility. You expect to

0:15:18.760 --> 0:15:24.250
<v Speaker 3>get a 3% wage hike, but it's plus or minus 10%

0:15:24.250 --> 0:15:26.930
<v Speaker 3>or something like that. And we're kind of in this

0:15:27.010 --> 0:15:30.989
<v Speaker 3>society that doesn't really like risk, doesn't like that sort

0:15:31.010 --> 0:15:37.070
<v Speaker 3>of volatility. It doesn't like disruption. The universities are in

0:15:37.130 --> 0:15:41.350
<v Speaker 3>some ways all still very geared towards these 20th century

0:15:42.870 --> 0:15:45.930
<v Speaker 3>industries these 20th century tracks and then maybe these tracks

0:15:45.990 --> 0:15:48.650
<v Speaker 3>still work maybe some of them get disrupted a lot

0:15:49.170 --> 0:15:52.770
<v Speaker 3>so um maybe good for the median person the good

0:15:52.810 --> 0:15:55.460
<v Speaker 3>may be sort of unknown the bad things are more

0:15:55.540 --> 0:15:59.540
<v Speaker 3>predictable and the disruptions disruptions clear so i think even

0:15:59.580 --> 0:16:02.740
<v Speaker 3>on the economic level i can understand the anxiety even

0:16:02.760 --> 0:16:05.910
<v Speaker 3>though i think it is misguided well.

0:16:05.760 --> 0:16:08.810
<v Speaker 5>You talk about there being a lot of competition among

0:16:08.830 --> 0:16:12.630
<v Speaker 5>these and that seems like generally a good thing Although,

0:16:12.910 --> 0:16:15.350
<v Speaker 5>in some ways, if it was just one or two companies,

0:16:15.850 --> 0:16:19.370
<v Speaker 5>you could control it better, regulate it for safety better.

0:16:19.850 --> 0:16:24.910
<v Speaker 5>And secondly, the competition, either amongst these companies or with China,

0:16:25.510 --> 0:16:29.530
<v Speaker 5>means you can't pause the way people are saying now,

0:16:29.850 --> 0:16:31.229
<v Speaker 5>shouldn't we be pausing this?

0:16:32.210 --> 0:16:35.330
<v Speaker 3>That seems correct to me. And, you know, there's sort

0:16:35.350 --> 0:16:39.220
<v Speaker 3>of all these very complicated questions one can ask about China,

0:16:39.250 --> 0:16:43.979
<v Speaker 3>but I'm, you know, I worry about totalitarianism. I don't

0:16:44.040 --> 0:16:46.760
<v Speaker 3>like it. And I think there is a certain type of,

0:16:46.770 --> 0:16:52.470
<v Speaker 3>you know, high tech totalitarianism that's being tried out in China. Um,

0:16:52.650 --> 0:16:55.970
<v Speaker 3>it's not as violent as, you know, Stalin or Mao or,

0:16:56.370 --> 0:16:59.480
<v Speaker 3>or Hitler. You don't need to kill as many people, but, uh,

0:16:59.880 --> 0:17:03.340
<v Speaker 3>it can go to the inner recesses of your thoughts

0:17:03.400 --> 0:17:06.000
<v Speaker 3>and it knows more about you than you know about yourself.

0:17:06.520 --> 0:17:09.830
<v Speaker 3>And there's something about that, that, uh, We really don't

0:17:09.850 --> 0:17:11.190
<v Speaker 3>want that to be the model that wins.

0:17:11.230 --> 0:17:14.030
<v Speaker 5>And your old friend, David Sachs, and of course, President

0:17:14.070 --> 0:17:18.040
<v Speaker 5>Trump are now just very recently saying, because of the

0:17:18.130 --> 0:17:22.859
<v Speaker 5>competition with China, stop talking about pausing AI, even if

0:17:22.900 --> 0:17:25.500
<v Speaker 5>you think it could be an existential threat. Do you

0:17:25.520 --> 0:17:26.020
<v Speaker 5>agree with that?

0:17:29.119 --> 0:17:29.320
<v Speaker 3>Yes.

0:17:29.500 --> 0:17:29.660
<v Speaker 1>Yes.

0:17:30.160 --> 0:17:33.240
<v Speaker 3>I broadly agree with that. And I've been friends with

0:17:33.320 --> 0:17:39.280
<v Speaker 3>David Sachs for many decades. The thing that makes... me

0:17:39.340 --> 0:17:44.140
<v Speaker 3>less comfortable making those kinds of arguments publicly is that

0:17:44.570 --> 0:17:47.630
<v Speaker 3>on some level, it's hard when the big companies themselves

0:17:47.670 --> 0:17:49.590
<v Speaker 3>are telling you to stop and to slow down.

0:17:49.890 --> 0:17:52.370
<v Speaker 5>So that's caused you to have some pause because you

0:17:52.470 --> 0:17:54.850
<v Speaker 5>were not in the pause button camp.

0:17:54.950 --> 0:17:57.250
<v Speaker 3>Well, I'm still not in the pause button camp. And

0:17:57.550 --> 0:17:59.030
<v Speaker 3>I'm saying this on your show that I'm not in

0:17:59.050 --> 0:18:01.810
<v Speaker 3>the pause button. We need to hit the accelerator as

0:18:01.869 --> 0:18:02.850
<v Speaker 3>hard as possible.

0:18:03.190 --> 0:18:05.119
<v Speaker 5>Well, wait a minute. Let me stop that. Why haven't

0:18:05.340 --> 0:18:09.550
<v Speaker 5>the past few weeks caused you to be more amenable

0:18:09.590 --> 0:18:10.250
<v Speaker 5>to oppose by.

0:18:19.650 --> 0:18:23.609
<v Speaker 4>I mean, anthropic as a cult, hitting the accelerator, monopolies

0:18:23.650 --> 0:18:27.290
<v Speaker 4>are maybe good. The peek into his mind is so fascinating.

0:18:27.770 --> 0:18:30.830
<v Speaker 4>And obviously that is just a snippet and Thiel gets

0:18:30.869 --> 0:18:31.970
<v Speaker 4>into so much more.

0:18:32.670 --> 0:18:35.850
<v Speaker 2>He certainly does. We'll be publishing The Builder's Feet very soon.

0:18:36.350 --> 0:18:39.149
<v Speaker 2>We'll be promoting it on Tech Stuff, of course. But

0:18:39.190 --> 0:18:41.800
<v Speaker 2>come back on October 20th for the conversation with Elon

0:18:41.820 --> 0:18:45.990
<v Speaker 2>Musk and October 23rd for the full conversation with Peter Thiel.

0:18:46.290 --> 0:18:47.110
<v Speaker 1>We can't wait for you to listen.