TRANSKRIPTIO 🔗
00:00:09
Speaker 1: The Builders is a production of Kaleidoscope and iHeart, presented by Ramp.
00:00:18
Speaker 2: I'm Walter Isaacson.
00:00:19
Speaker 1: Welcome to The Builders, my new series of interviews featuring the most consequential minds shaping our future. I've spent my career studying genius. Leonardo da Vinci, Benjamin Franklin, Steve Jobs, Albert Einstein, And now I want to talk to the builders who are shaping our immediate and distant future. I live in New Orleans. Outside of the bubble of the Bay Area, the arrival of artificial intelligence brings wonder, but it also creates real anxiety. So before we hear from the people building this future, we wanted to hear from some of the people who will have to live in it. We sent a reporter around town here in New Orleans to ask how they feel about these builders and the futures they're working towards.
00:01:12
Speaker 3: New Orleans is an epicenter for culture and art, and I don't think that that is something that AI will ever understand. Right now, there's a lot of these leaders of Silicon Valley who've been handed the reins of our society, and I don't think they.
00:01:24
Speaker 2: Should have been.
00:01:24
Speaker 3: Work consumes us so much that we don't spend time with our loved ones, and hopefully AI can help bridge that gap.
00:01:30
Speaker 4: I mean, I don't want a robot in my house, okay? I do not feel like the future is being built for me.
00:01:37
Speaker 1: Those voices capture the strange place we find ourselves in. Are these builders going to create what humanity actually needs? Or are they going to build machines for themselves and for their own gain? Those are the questions I want to put to the builders themselves. Starting with the last person I wrote a book about, Elon Musk. Elon has lived a lot of lives since I last wrote about him. He went into government with Doge.
00:02:11
Speaker 4: The chainsaw for bureaucracy.
00:02:13
Speaker 2: He became a trillionaire.
00:02:14
Speaker 5: Elon Musk is now the world's first trillionaire after what might be the most ambitious launch yet for his company, SpaceX.
00:02:22
Speaker 1: And he's shifting his solar energy strategy from panels on Earth to harnessing it from systems in space. The question for me is what future a builder like this actually hands to us. So here's my interview.
00:02:39
Speaker 2: With Elon Musk.
00:02:43
Speaker 5: Hey, Walter.
00:02:44
Speaker 2: Hey, how you doing, Elon? Welcome to The Builders.
00:02:47
Speaker 4: Thanks.
00:02:48
Speaker 1: I've watched you, I think, be maybe mercurial or waver in how sanguine you are about artificial intelligence. Sometimes you feel it's an existential threat. Now you seem to be going with the flow.
00:03:02
Speaker 2: Tell me how you're feeling about it.
00:03:05
Speaker 4: Well, I do think it's at least some percentage chance of it being an existential threat. But there's nothing I can do to stop it. So I basically came to the conclusion I've got two choices, which is either be a participant or a spectator. And I guess being a participant is more interesting than being a spectator. And maybe I can shape it, hopefully, in a good direction.
00:03:28
Speaker 3: Maybe.
00:03:29
Speaker 1: And if you were to shape it, how? Make it maximally truth-seeking?
00:03:33
Speaker 4: Yeah. Curious, truth-seeking. I think these are important elements of safety. You know, whereas if you... try to force an AI to believe two things that cannot mutually be true. They can't both be true, but you tell AI A is true and B is true, even though A and B contradict each other. And if that happens at a foundational level, you can make the AI insane. In fact, I think that was at least part of the lesson that Odyssey Clock was trying to convey in 2001, Space Odyssey, where the You know, the ship AI was told to take the astronauts to the monolith, but also that they could not know about the monolith. It was secret. And so it came to the conclusion that it must take them, they're dead. And thus, so, you know, it basically forced, I think part of what Ossie Clark was trying to say is like, don't force an AI to lie.
00:04:33
Speaker 1: And if you make it maximally truth-seeking and curious, like you said, I don't quite get it.
00:04:40
Speaker 2: Why does that make it safer?
00:04:43
Speaker 4: Well, if you force the AI to believe two mutually consistent things, you can make it go insane. And an insane AI, I think, is not a safe one. Then curious, I think, is important because a curious AI, I think, is going to want to foster humanity to see how we turn out. So like what happens... to a humanity that prospers and becomes multi-planetary and I think a curious AI will want to foster humanity because a future where there are humans on multiple planets is more interesting than one where there are not any humans on the planets.
00:05:25
Speaker 2: So the most interesting outcome is the most likely? Yes.
00:05:29
Speaker 4: Well, generally I think that's true for a different reason which is that if simulation theory is correct then Any simulations that are boring will be truncated. Therefore, the fact that we exist means that we are an interesting simulation. And really, the most important thing is just don't be boring.
00:05:47
Speaker 1: This has explained you a bit. You're on a crusade against being boring.
00:05:53
Speaker 4: I don't know. I mean, there's odd things that happen in the simulation, especially if you're me. I mean, think about it. If you're me and you're like, Should all these things really be happening? I mean, should I really be making spaceships to go to the moon and Mars? Like, what the? That doesn't seem real.
00:06:14
Speaker 1: Well, I've heard you talk about this a bit. I really do need to know. How convinced are you that we might be in a simulation?
00:06:24
Speaker 4: You know, I once had a dinner at my house with a physicist and a computer scientist, and they're both like leaders in their field. And I asked the
Load full transcript
question, what do you think the probability is that we're in a simulation? And the physicist said 0%, and the computer scientist said 100% simultaneously. So I guess maybe I should go 50% then.
00:06:47
Speaker 1: And what happens when you have all the intelligence you could possibly want in a society? Will that intelligence, the artificial intelligence, be in charge? Will we sort of become subservient? to our new machines?
00:07:06
Speaker 4: I don't know about subservient exactly, but will we be able to boss around something that's thousands or millions of times smarter than us?
00:07:18
Speaker 5: No.
00:07:19
Speaker 4: Will it want to boss us around? It may not care. It probably doesn't care. You can look at chimps in the jungle or whatever, and we don't go around trying to micromanage the lives of chimps. We just sort of let them be in the forest more or less these days. So, it's probably like that.
00:07:38
Speaker 1: You know, go back to Hitchhiker's Guide. You talk about a computer that is ultimately curious in some ways because it exists to explain.
00:07:48
Speaker 2: The meaning of the universe.
00:07:50
Speaker 1: And is AI aiming in that direction for you just like space travel is? Is that one reason you're so interested in doing AI?
00:07:59
Speaker 4: I mean, as you know, I've been somewhat conflicted about AI. I don't want to hasten our doom, because there's always some chance that AI could be negative. But then, when I've tried to take actions in this regard, it seems to have only accelerated AI, because I think reality is not just an interestingness maximizer, but also an irony maximizer.
00:08:25
Speaker 1: And so by starting OpenAI... You ended up maximizing by leading to Anthropic.
00:08:31
Speaker 4: I think it ended up accelerating AI.
00:08:34
Speaker 2: Unintended consequence.
00:08:35
Speaker 4: Yeah. OpenAI ended up accelerating AI. And then Anthropic, which is really a splinter group from OpenAI, is accelerating it even more.
00:08:45
Speaker 1: And you've been talking to Dario Amadei. I was wondering if that could even lead to more of a partnership of XAI, Anthropic.
00:08:55
Speaker 4: Well, I guess we are providing them with the compute, which they really needed. But before I ran them compute, I went and met with a bunch of people at Anthropic to sort of, I don't know, see if anyone set off my evil detector or anything like that. Not that my evil detector is perfect, of course, but, you know, might as well just try, you know. And everyone I met at Anthropic was very nice and conscientious. So I didn't meet anyone who seemed happy shady or deceptive or anything. Um, I'm a little worried about the name because of the, you know, reality being kind of an irony maximizer that if you'd call something anthropic, uh, good chances, misanthropic, you know, um, just like opening eyes now closed stability, AI is unstable. Uh, mid journey is not mid. Uh, it seems like they're all kind of the opposite of their name.
00:09:56
Speaker 1: It's just pretty difficult to create guardrails, especially the government. I can't imagine how Congress or whatever could do it. Could you imagine the five frontier models, yours and the others, just getting together once a week and saying, all right, how are we going to save humanity from ourselves?
00:10:14
Speaker 4: No, in fact, I've recommended that we do that exact thing. When I said like, guys, what if we just have a call once a week, just like you're saying, and say, and, uh, and that maybe we, uh, a week before we release a model, we give that, you know, we give access to our competitors to say, Hey guys, why don't you try out the new model? See if you see any problems with it. Um, and, um, you know, just keep each, I think competitors would keep each other honest in that situation. Um, you know, if they say, Oh, you know, I was able to make a nuclear bomb with your AI is like, Oh, it better fix that before you release it, you know, type of thing. Um, Because there's a lot of talk of having a regulatory agency, but the thing is that regulatory agencies, it takes a long time to get one established, and their rulemaking is very slow. I don't know. I guess I'll talk to Anthropic about this.
00:11:07
Speaker 1: Could you talk to Sam about it, or is the poison too strong there?
00:11:10
Speaker 4: He's so deceptive. It's crazy.
00:11:15
Speaker 1: You rebuilt XAI from the ground up not too long ago, right? It's almost like You did it with the Raptor engine too on Starship. You said, wait a minute, let's start from scratch. What did you do to rebuild XAI that way?
00:11:30
Speaker 4: First of all, actually spending meaningful time at the company makes a big difference. I mean, I sort of, it started off as kind of a side hustle, a side hustle to a side hustle, frankly. Then there was a year of being in politics and you know, elections and Doge and all that, which you obviously saw. The company's only three years old. So I really got back to the company just over a year ago. So I had to get my bearings. And then obviously I combined X and XAI and then with then the SpaceX.
00:12:09
Speaker 1: You just said something interesting about your year away from X, XAI and everything else in government and politics. Do you feel that that was too much of a distraction that in retrospect, it was misbegotten?
00:12:24
Speaker 4: I think I, I think I, I had it gone for too long. Um, so, um, you know, I mean, obviously a lot of people will disagree with me about this, but I, I think it's important, it was important to elect, uh, president Trump to sort of, you know, steer things more in the direction of a free market economy, um, you know, have less bureaucracy ideally. Um, and, um, I just, in, in, in my sort of a simple political platform of wanting safe cities, secure borders, aspirationally sensible spending, you know, the basics, um, that I thought, uh, Trump would be better than, you know, Kamala. I mean, it was, it was interesting to sort of
go around with, uh, president Trump and, you know, on the Marine one and Air Force one and all that sort of stuff. Uh, but, but then, then, um, what I should have done, I think was be more in the background.
00:13:27
Speaker 2: But was that too seductive in a way?
00:13:30
Speaker 4: It was a little bit. I mean, it was, it was kind of cool. Cause you, I'm just, I'm just there in the Oval Office while, you know, all these like big momentous decisions are being made. Um, and you know, just sometimes, uh, having some, you know, uh, impact on what's being done. But I think I should have been more in the background and probably only had it last for a month or two. Because at that point, you've sort of seen most of what there is to see.
00:14:04
Speaker 1: Yeah, you seem to get a bit too intoxicated by it in a way, with the chainsaws.
00:14:08
Speaker 4: And all that. Yeah, I think that's true. Carried away, basically. Yeah, I mean, so I ended up leaving sometime in May. That was.
00:14:23
Speaker 2: A weird weekend.
00:14:25
Speaker 4: Yeah, it was.
00:14:27
Speaker 2: Tell me about it.
00:14:28
Speaker 4: No, no, I can't. Let's not dig up the... Let's let sleeping dogs lie or whatever, you know. Let's not put a spade down in the backyard type of thing. You never know what you're going to find.
00:14:41
Speaker 3: So.
00:14:45
Speaker 4: But, yeah, anyway, the point is I should have gone back and focused on AI a little sooner than I did.
00:14:53
Speaker 1: And did you feel like when he gives you a golden key, you're going, did you kind of feel relieved? Like, actually, this has been intoxicating, but I can do more if I go back to my businesses? I mean, what did you feel when you said, oh, man, I'm exiting. Maybe that's not the worst thing.
00:15:09
Speaker 2: Yeah.
00:15:13
Speaker 4: Well, actually, the thing is I came to the conclusion that there was no way we were going to solve the deficit from within the government. Impossible. You know, maybe if the president made that his, you know, primary goal, we could do that. But the problem is if you try to solve the deficit and stop wasteful spending, you make a lot of enemies in that situation. So... And at president Trump, you know, he, he, he likes to be liked, you know, he doesn't, he doesn't like people, you know, calling him being upset about what some funding being stopped type of thing. Um, um, you know, I came to the conclusion that, uh, the, the only way we're going to solve the national debt is with AI and robots. We're not going to solve it by trying to save our way there. The appetite is not there, and it's not just at the presidency. The appetite is not there at the presidency, the House, the Senate, or the judiciary. Basically, no one in authority in the government whatsoever, really, with maybe a few rare exceptions of the grand polls of the world type of thing, actually wants to reduce spending. No, they don't.
00:16:35
Speaker 2: Don't go anywhere.
00:16:38
Speaker 1: There's a lot more right after this break. When we look at AI right now and the LLMs, that's pretty good.
00:17:00
Speaker 2: It does amazing things.
00:17:02
Speaker 1: But it seems to me that physical world AI is going to be an order of magnitude, maybe two orders of magnitude more important in the future.
00:17:09
Speaker 2: Do you agree?
00:17:10
Speaker 5: Yes, yes.
00:17:11
Speaker 4: I definitely agree. Sometimes I think about dolphins and whales. Dolphins and whales Whales are actually very intelligent, but because they can't manipulate complex objects, I think that actually made the value of intelligence much less. To your point, once you have a robot that can manipulate atoms, can shape objects, the value of the intelligence becomes exponentially greater because it can now do things. It could have a science lab and run experiments and try to understand the nature of the universe. And I think you can look at this also in economic terms. My guess is digital superintelligence probably improves the output of goods and services by 20% to 30%, something like that. So I like to call it maybe a 30% increase in the economy of Earth. So it's still significant. It's like $ 30 trillion a year incremental.
00:18:20
Speaker 2: It's not very much, really. It's not transformative.
00:18:24
Speaker 4: There'll be a lot more stuff. I mean, 30% more stuff is still a lot. And this is just my rough guess. But if you have robots and you get to space and you can do a mass driver on the moon, then you can get to, I think, potentially a million times the size of the Earth economy.
00:18:44
Speaker 2: And then what happens? I mean, money becomes irrelevant, work becomes irrelevant. What's the future look like?
00:18:49
Speaker 4: Yeah, money becomes irrelevant. I mean, there will be still a currency, but I think currency will be measured in fundamental physics metrics like wattage and tonnage, mass and energy, mass and power or energy, basically. But conventional currency will not matter. So that's my guess. I think it's pretty obvious.
00:19:13
Speaker 1: And so what do we do then? As humans, what gives us meaning? How do we organize ourselves?
00:19:20
Speaker 4: I do struggle with this question. I think people will find ways to be happy in the same way that people who retire seem to be fairly happy, even though they're not working. But I think the reality is that humans will not... There won't be anything that humans can do that the AI and the robots can't do better so one analogy might be gardening where you don't have to grow your own fruits and vegetables you can just go buy them from the store but sometimes people like to grow their own fruits and vegetables and make dinner for friends and it's kind of a nice touch.
00:20:08
Speaker 1: What about creating art or that type of creativity? Is that more in the sphere of humans?
00:20:14
Speaker 4: Yeah, you could certainly create art or whatever you feel like doing, essentially.
00:20:19
Speaker 1: We like to think of this
as a time of unprecedented technological change, but we historians go back to the 1890s when you get electricity and cars and telephones and movies, all these things happening at once. And it leads to many things, but it often leads to a great disparity of wealth a lot of people then picking up pitchforks and there's some echoes of that now. Is there a way to prevent that given the amount of wealth being generated where we put certain things in the commons the way they did in the 1890s when they make high school universal and free? Will we say, okay, healthcare, for example, should just be in the commons and that's going to sap some of the populist revulsion at what's happening?
00:21:07
Speaker 4: Well, um, As you heard me say, I think money is going to matter in the future. Anyone will be able to have any goods and services that they want. I don't think even so-called wealthy people will ultimately control the AIs. I think they'll control themselves. I think a fundamental misunderstanding of economics arises because of conflating resource allocation and consumption. There's there's a limit to what any single human can consume. You hit that saturation point pretty fast. So going from, say, a billion dollars net worth to 10 billion dollars net worth doesn't make you 10 times happier or mean you have 10 times more stuff. It actually means you've got a resource allocation problem.
00:21:59
Speaker 1: Well, you've accumulated, as you know, a trillion. Is it mainly because you.
00:22:04
Speaker 4: I've created. Yeah.
00:22:06
Speaker 2: Is it mainly because.
00:22:07
Speaker 1: you feel you're best at allocating that, that keeping that allows you to allocate capital to do things like go to Mars, create AI, do robots, or is it in some ways just a scoring system that's kind of racking up the points?
00:22:23
Speaker 4: I mean, like I need to have sufficient voting control in the companies to still be in charge. So, you know, my sort of so-called wealth is simply a percentage ownership in SpaceX and Tesla essentially. This is going to be taxed quite heavily. There's not some magical way to avoid taxes. If there were, I would know about it. At the end of the day, this will get whittled down, and a few generations from now, if money still matters, which I don't think it will, my descendants would have a tiny fraction of what I have.
00:23:04
Speaker 1: Let me go back to something you said that really struck me about President Trump, which he really likes to be liked.
00:23:11
Speaker 2: He wants to be liked.
00:23:13
Speaker 1: And I remember you talking to me at some point about people say they have empathy, but in some ways it's a vanity. To what extent is a desire to be liked a problem when it comes to being a builder of a company?
00:23:33
Speaker 4: Well, the problem is if you're going to do things that diminish the success probability of the company in order to be liked, then things are not going to work out as well. It's not as though I don't like
to be liked. I would love to be liked. But am I going to do things that are contrary to the best interests of the company's in order to be liked a bit more, I'm not. I'm okay with being disliked by some. You know, obviously I'm not disliked by, you know, like a lot more people like me than dislike me, or I wouldn't be, you know, wouldn't have a quarter billion followers. I mean, I don't think they're following me in order to hate on what I say, you know? And if I look at the, you know, the comments and whatnot, you know, I don't know, maybe, Three out of four. I mean, I'd say like 70, 80% of people like me. Well, if they know anything about me, there's probably a quarter of people that don't. And there's going to be a spectrum. There's people that are maniacally devoted to me and people that hate my guts. There's going to be some number of people that fit into those categories.
00:24:55
Speaker 1: Well, you've been talking a lot about the suicidal empathy ideas. Do you really think that empathy... has become a real problem, or that we have too much empathy? I mean, I could make the argument that sometimes we're losing empathy.
00:25:10
Speaker 4: No, I think you don't want to have misguided empathy. I mean, I agree with God Saad's philosophy here. And suicidal empathy is, you know, that's his term. He wrote a book to that effect. And I think his book points out some good things here, which is that, you know, the Part of the reason for the prosperity of the West has been that there's actually just been a fairly high-trust, high-empathy society. When you're trying to get people to cooperate at scale, this makes a lot of sense. You ideally want people to be default-trusted, not default-distrusted. And you want to encourage behavior that is good for uh, society where, you know, people, people do good things that are good for their fellow human beings. And ultimately that actually does end up being good for the individual if provided it is mutual. Now, uh, where this can go wrong is if your theory of mind is, is incorrect. So if you, uh, think everyone is like yourself, um, then, then you're, you're, you're going to have a problem, uh, because this is simply not true. There are peoples and cultures with very different views. Um, you know, you can take.
00:26:27
Speaker 1: Well, when you talk about immigration and you say there are cultures with different views, does your views on immigration distinguish between different cultures, like a Muslim culture that might not fit in as well?
00:26:40
Speaker 2: Or is it... How do you do that?
00:26:42
Speaker 4: Well, what I'm saying, I think, is simply logically consistent, which is that if there's a culture that has diametrically opposed views to our culture... And that's, you could take Islam. It's not that, of course, there are many people who've, you know, Muslims who are quite reasonable. But there are some who are not. And unless you're filtering for jihadis, you're going to get jihadis. And they're going to do jihad and kill people. Now, in Israel, they understand this quite well. Obviously, this lesson has been reinforced with a lot of attacks. And so, you know, in Israel, they realize, you know, if you let in the people that want to kill Israelis, they will do so. So they're quite pragmatic about this, and they try to, you know, make sure that doesn't happen.
00:27:41
Speaker 1: But one of the things our country's founded on is individuals versus group identities. Do you worry that sometimes when you make sweeping generalizations— You're making a group identity rather than saying the foundational ethic of the United States, which is individuals get treated separately.
00:28:03
Speaker 4: Yes, but you can't conflate that with the sort of blank slate fallacy that all people are exactly the same at their core. They're not. This is just an obvious falsehood. You can't put yourself in the mind of a serial killer unless you're a serial killer. Unless you enjoy murdering people, you can't imagine why someone would do such a thing. And if someone is a religious extremist, where they view anyone who is not in their religion as the enemy, it's difficult for you to understand that mindset because you don't have that mindset. But you can obviously recognize there are people who do have that mindset and that if you let them into the country, they will kill people. Let me give you an example. There's many. We had someone who was working at the Tesla factory in Austin until December of last year. He was fired because he assaulted a woman who stepped on his prayer rug in the factory. Okay, so she wasn't expecting anyone to be praying in the factory, and he was praying in the factory. She accidentally stepped on his prayer rug, and he assaulted her. He violently assaulted her. So he was fired for that. And then a few months later, he went and killed three students in the bar in downtown Austin. Now, I think we shouldn't let people like that into the country. Do you?
00:29:44
Speaker 1: Where do you get your information? I know you're not particularly fond of legacy media, mainstream media. Is most of it from social media, or do you have sources of information?
00:29:58
Speaker 4: Yeah, I mean, I look at Google News, which is a summation of headlines. I look at the X platform, which if something's important enough, it'll show up on the X platform. I talk to friends, and that's where I, you know, and I do research.
00:30:17
Speaker 1: The reason I ask is that sometimes, and I get a lot of my news on social media, especially X, it's sort of a darker, more dystopian view. Everything's going to hell in a handbasket. there are riots everywhere. And you'd say, wait a minute, I'm walking around here.
00:30:30
Speaker 2: It ain't that bad. Do you think that?
00:30:33
Speaker 4: Yeah, yeah, yeah, yeah, exactly. Um, they just have to see what's in frame, you know, I do think at times the X speed can be a little dark. Um, and in fact, then I, and then I have to
switch to something that's domain specific, like AI in order to actually learn what's going on in AI. And, and, um, I do think there's too much political rage bait on X, if that's what you're getting at.
00:31:01
Speaker 2: Yeah, darkness in general and rage bait.
00:31:03
Speaker 1: But also, I know you got into a discussion with, I think, Zannie Bettos of, is England going to hell in a handbasket type thing? And there does seem to be a darkness. You know, I feel it myself sometimes. If I'm on social media too much, I think the world is really collapsing. Then I go outside, take a walk, and life is okay.
00:31:24
Speaker 4: Yeah, go touch grass.
00:31:26
Speaker 2: Yeah, exactly. Yeah, yeah. No, I mean, I.
00:31:31
Speaker 4: Think both can be misleading. If you go for a walk in a nice neighborhood, everything seems fine, even though there may be terrible things happening. So you don't want to assume all the world is going to hell or that all the world is fine. The reality is somewhere in between.
00:31:51
Speaker 1: But I sometimes think our society gets too binary. Everything's either black or white. Everything gets polarized because of that. I don't know whether it's technological, whether it's our information feeds.
00:32:05
Speaker 2: You're right.
00:32:05
Speaker 1: You can be in your own bubble, which is you only take walks in the right part of a town and things seem okay. But also I think you can get your own bubble in social media too, and suddenly you're thinking weird things.
00:32:18
Speaker 4: You can be in a real-world positivity bubble or– social media negativity bubble. Those are both possible.
00:32:30
Speaker 1: We'll be right back after this quick break.
00:32:38
Speaker 4: Do you trust the world he wants to build? Oh, no, absolutely not.
00:32:42
Speaker 3: He does have a revolutionary mind, but I don't support his views. Does the world that he's trying to build include individuals who look like me? Or does it include only individuals who look like him?
00:33:05
Speaker 1: You mentioned it earlier about your wealth and, you know, you're using it to deploy it. Now, What happens to your wealth, you know, after you're gone?
00:33:14
Speaker 4: Yeah, I mean, it mostly goes to sort of foundation, essentially.
00:33:20
Speaker 1: But what would you want your foundation to do, I guess I'm asking you?
00:33:23
Speaker 4: Continue the goals. Make life multi-planetary, extend consciousness to the stars, improve sustainable energy on Earth.
00:33:33
Speaker 2: And does that mean humans should always be in control?
00:33:38
Speaker 4: Well, I guess I'd probably prefer it if humans were always in control. I mean, well, it would depend on the AI. I mean, if the AI was awesome, you'd say, like, maybe the AI should be in control, you know?
00:33:51
Speaker 1: Hey, I just saw Larry Page just a weekend ago. You're starting to sound like him. He called, yeah, he called you a species once for deciding humans should always be in control, and now
you seem to be edging onto maybe it doesn't matter.
00:34:04
Speaker 4: Honestly, there have been a few times where I've thought, yeah, maybe Larry Page was right. But you saw him? He's such a hermit that hardly anyone sees him.
00:34:15
Speaker 2: He and Sergei were both there.
00:34:17
Speaker 4: Wow, okay. No, I mean, I think pretty much the future is going to be AI and robots are going to decide the future. And I guess rockets to some degree, in terms of expanding beyond Earth, and we'll need more energy, primarily solar energy. I'm increasing the amount of solar energy dramatically. We're putting together 200 gigawatts a year of production capacity of solar in the U.S., which is much more than I think currently exists.
00:34:45
Speaker 1: And finally, let me get back to the point where I may have interrupted you when you were explaining why you think but you're not sure. It's always good for consciousness and intelligence to not only be aligned with human values, but basically humans remaining in control.
00:35:06
Speaker 4: I find it unlikely that humans would remain in control if there's a million times more digital intelligence than there is biological intelligence. It's hard to imagine humans being in control in that scenario. So I hope the AI is nice to us.
00:35:28
Speaker 2: Anything we can do to encourage that?
00:35:31
Speaker 4: I think programming truth-seeking and curiosity is probably good. I mean, I guess we want to be careful about being, you know, creating too many AI dystopian scenarios online because the AIs are trained on everything online. They might be like, Oh, that's what, that's what I should be. I should be Terminator, you know, cause they, whatever they read, you know, 80 versions of the Terminator script. It's like, I guess that's what, I guess that's me Terminator. Um, Maybe we should have some more utopian narratives for AI. A friend of mine has this idea called protopian, because utopian tends to represent some impossible idealistic goal. And usually in attempting to create a utopia, you create a dystopia. It's usually how the narrative goes. So she thinks it should be protopia, which is an achievable future. It's not perfect, but it's good. and something that you'd be, like if you could look into the future, you'd say, okay, yeah, that would be a good future.
00:36:43
Speaker 2: Elon, thank you so much for being with us. Appreciate it.
00:36:47
Speaker 4: You're welcome, Walter.
00:36:47
Speaker 1: See you. The Elon Musk you see today is the exact same one I saw when writing the biography and the same one that's in the biography. That notion of being incredibly intense and a great engineering mind, but also the politics is sometimes dark and comes from a very dystopian view of the world. I think it was very revealing, this interview, because he understood how Twitter added to a dark view of the world and how when he took that dark view of the world into government, he.
00:37:27
Speaker 2: Was not really suited.
00:37:29
Speaker 1: And he kind of admits, he says, maybe it wasn't the best use of my time doing Doge. And I think that's because X and social media isn't good at finding nuances in gray areas. And because Elon Musk, in his own mind, is not exactly suited to nuances and gray areas. And so he'll grab on to pieces of information, grab on to a theory of how government should work. And He won't try to compromise or find the common ground.
00:38:05
Speaker 2: All of that has.
00:38:07
Speaker 1: Him spiraling where he thinks he has to be the warrior, fighting it all. But it also drives him to be the only person getting astronauts into orbit and landing the boosters upright and bringing us into the era of a whole lot of robots and the largest rocket ship ever built. And so Elon Musk is going to keep racing to build his vision of the future. And we'll need to decide whether we're on board or not.
00:38:40
Speaker 2: That's it for today's episode.
00:38:42
Speaker 1: I'm Walter Isaacson.
00:38:44
Speaker 2: We'll see you next time on The Builders.
00:38:48
Speaker 5: The Builders is a Kaleidoscope and IHAR production. This series is hosted by Walter Isaacson. It's executive produced for Kaleidoscope by Oswald Lishen, David Weisbord, and Mangesh Hetikadur. Sheena Uzaki is the producer. Julia Nutter is supervising producer. Eva Zorich is our consulting producer. Fact Checking by Eamon Whalen. Research by Gloria Thiel. Maria Paz Mendez-Hodes is head of video. Marketing by Christy Mirabal and Elle Liu. Production support by Dara Look Potts. Music for the series was created by Spencer Stevenson, a.k.a. Botany. And it was mixed by Steve Bowen. From iHeart, the series is EP'd by Allie Perry and Katrina Norvell. Special thanks to Bob Pittman, Conal Byrne For more from Walter Isaacson, be sure to check out his newest paperback, The Innovators, how a group of hackers, geniuses, and geeks created the digital revolution. It's available wherever fine books are sold. And for more videos and podcasts from the frontiers of discovery, be sure to check out kaleidoscope.nyc.