Latest / Elon Musk Thinking / Latest: Elon Musk speaks at Dubai's World Governments Summit!!!

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Latest: Elon Musk speaks at Dubai's World Governments Summit!!! · Elon Musk Thinking

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  Speaker 1: You know, what I've said is that we really have
• 0:03
  Speaker 1: here rule of the bureaucracy as opposed to rule of
• 0:08
  Speaker 1: the people democracy.
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  Speaker 2: So in order we want to restore the rule of
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  Speaker 2: the people.
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  Speaker 1: And so what that means is reducing the size of
• 0:17
  Speaker 1: the federal government, uh, basically reducing regulation. You know, there's
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  Speaker 1: there's a there's a tremendous amount of of overregulation that's
• 0:29
  Speaker 1: happened over time. And this is this isn't an inevitable
• 0:33
  Speaker 1: consequence of a long period of prosperity, is.
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  Speaker 2: That you're going to get more and more rules and regulations.
• 0:40
  Speaker 1: More laws accumulate over time, and the normal forcing function
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  Speaker 1: for getting rid of rules and regulations is war. So
• 0:48
  Speaker 1: it needs to be some kind of existential war where
• 0:50
  Speaker 1: you have to do a reset in order to avoid
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  Speaker 1: being defeated in a war. This is literally the throughout
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  Speaker 1: history has been the main forcing function for clearing out
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  Speaker 1: an accumulation of laws and regulation. In the absence of that,
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  Speaker 1: every year you get more laws and regulations, until eventually
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  Speaker 1: everything is illegal and nothing is permitted. And that's sort
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  Speaker 1: of the situation we have these days. So the aspiration
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  Speaker 1: here there is a reduction in regulation and reduction in
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  Speaker 1: government spending such that the economy is able to grow faster.
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  Speaker 1: Maybe the economy can grow at four or five percent
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  Speaker 1: potentially in terms of real useful goods and services output,
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  Speaker 1: and then government spending can be reproduced by about three
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  Speaker 1: or four percent of the economy, about maybe a trillion
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  Speaker 1: dollars or more. And the net effect of that would
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  Speaker 1: be no inflation from twenty five to twenty twenty six.
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  Speaker 2: So quite remarkable.
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  Speaker 1: And also, if the US government is buying less debt,
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  Speaker 1: which I think will be the case, if it's if
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  Speaker 1: the depths it drops from two trillion to one trillion,
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  Speaker 1: then there will be one trillion.
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  Speaker 2: Less debt the governor's spy, which will drop. Of course,
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  Speaker 2: interest rates.
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  Speaker 1: To drop significantly, and that means people's mortgage payments, car payments,
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  Speaker 1: credit card payments, student loans, whatever debt they have, will
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  Speaker 1: their debt payments will be less. So I think this
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  Speaker 1: is something that will benefit the average American. I think
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  Speaker 1: some of the things we're doing also will be helpful
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  Speaker 1: to hopefully helpful to other countries because with the new administration,
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  Speaker 1: there's less interested in interfering with the affairs of other countries.
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  Speaker 2: You know, I think a lot of the times the
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  Speaker 2: United States has been kind.
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  Speaker 1: Of pushy in international affairs, which may resonate with a
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  Speaker 1: number of the audience. And I think we should in
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  Speaker 1: general leave other countries to their own business and basically
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  Speaker 1: America's mind its own businesses, you know, rather than push
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  Speaker 1: forward regime change all over the place.
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  Speaker 2: So yeah, it was probably good by the countries too.
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  Speaker 3: So instead of waiting for the war to happened, you
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  Speaker 3: went to war against the bureaucracy in the government.
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  Speaker 1: Yes, we're well, we're essentially just we're with you know,
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  Speaker 1: the support and direction of the President Trump. We are
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  Speaker 1: reducing the size of the bureaucracy, getting rid of excess
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  Speaker 1: regulatory regulations. And there's also so many agencies and regulatory
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  Speaker 1: authorities that they're actually stepped on each other's feet. It's
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  Speaker 1: it's kind of like having a sports game where there
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  Speaker 1: are too many referees on the field, like more referees.
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  Speaker 2: Than players at times.
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  Speaker 1: Now, that would be a silly game, you know, if
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  Speaker 1: the players can't pass the ball without hitting a referee,
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  Speaker 1: you know. But it's kind of getting to that point
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  Speaker 1: in the US. So there's roughly four hundred and fifty
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  Speaker 1: federal agencies of one kind or another. That's that's more agencies.
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  Speaker 1: That's almost that's almost an average of two agencies per
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  Speaker 1: year since the formation of the United States. So, I mean,
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  Speaker 1: how many agencies do you really need to run a country?
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  Speaker 1: I'm ninety nine, not four hundred and fifty, that's for sure.
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  Speaker 3: So, and and how do you guarantee that all the
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  Speaker 3: incredible achievements that you aim to have in terms of savings,
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  Speaker 3: in terms of you know, impacting the lives of the
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  Speaker 3: American people, I'm not going to be reversed in four years.
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  Speaker 3: Typically the cycle gets reversed every four years. You know,
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  Speaker 3: do you think it's going to be so impacted that
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  Speaker 3: it won't be reversed? Is there any ways that you can,
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  Speaker 3: you know, ensure that the progress is going to be continuous?
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  Speaker 1: Well, I think I think we need we do need
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  Speaker 1: to delete entire agencies, as opposed to leave part of
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  Speaker 1: them behind, because if you leave part of them behind,
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  Speaker 1: it's easy. It's kind of like if they're leaving a weed.
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  Speaker 1: If you don't remove the roots of the weed, then
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  Speaker 1: it's easy for the weed to grow back. But if
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  Speaker 1: you remove the roots of the weed, it doesn't stop weeds.
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  Speaker 2: From ever growing. Back, but it makes it harder.
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  Speaker 1: So so we have to really delete entire agencies, many
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  Speaker 1: of them. And that's not to say there won't be
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  Speaker 1: an increase over time of bureaucracy in some new administration,
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  Speaker 1: but it will, it'll be from a much lower baseline.
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  Speaker 2: So it's it's a step in the right direction. I think. Well,
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  Speaker 2: the overwatching goal here is like.
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  Speaker 1: It's to lay the validation for prosperity that will last
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  Speaker 1: many decades, you know, maybe centuries and yeah, but forever.
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  Speaker 2: Nothing's forever. But I think we can strengthen the foundations
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  Speaker 2: of the United States substantially.
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  Speaker 3: And what lessons can other governments learn from us? You
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  Speaker 3: say tech support on your shirt? Is that only technology
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  Speaker 3: or is there other things? How do you approach efficiency?
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  Speaker 1: Well, a shocking percentage of the problem or maybe not
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  Speaker 1: talking for those who know it, but a big percentage
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  Speaker 1: of the problem is improving the technology that the government
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  Speaker 1: runs on. So the US government runs on a collection
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  Speaker 1: of thousands of computers, so many of them antiquated running
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  Speaker 1: very old software that then the computers don't talk to
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  Speaker 1: each other. And so that's why tech support is kind
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  Speaker 1: of a real thing. In order to make the got
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  Speaker 1: more efficient. You have to improve the technology. You may
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  Speaker 1: have read about the example recently with when President Trump
• 7:02
  Speaker 1: was signing one of the Doge Executive Orders of the
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  Speaker 1: difficulty of US covert worker is retiring, Like the retire
• 7:13
  Speaker 1: maximum retirement rate is ten thousand a month, and the
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  Speaker 1: reason for that is because the retirement is entirely payerwork.
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  Speaker 1: Right now, it's manually calculated paperwork that's put in an
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  Speaker 1: envelope and then taken down a mind shaft and stored
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  Speaker 1: in a mine. And then the you know, one of
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  Speaker 1: the things that affects the rate at which better wor
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  Speaker 1: workers can retire is the speed of the elevator in
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  Speaker 1: a mine in Pennsylvania, which is bizarre because.
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  Speaker 2: It's not it should be digital, you know.
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  Speaker 1: So then when we said, well, why isn't it digital,
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  Speaker 1: it's they said, well, we have had a digital digitization
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  Speaker 1: program going since twenty fourteen, so that's been eleven years.
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  Speaker 2: So then we asked, well, so what how much progress
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  Speaker 2: have you made? They said B.
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  Speaker 1: I mean you're giving yourself a grade of B. No,
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  Speaker 1: we're on the letter B. So like hmm, okay, we're
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  Speaker 1: going to need to really provide some tech support here,
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  Speaker 1: like otherwise literally people can't.
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  Speaker 2: Even retire, like even if they want to. It's pretty bad.
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  Speaker 3: You know.
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  Speaker 1: There's this is a there's a lot of software systems
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  Speaker 1: that need to be updated and fixed, in some cases deleted.
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  Speaker 2: A lot of things that should really should be automated.
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  Speaker 1: I mean, in terms of the number of say you're
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  Speaker 1: citizens that are operating the mine, it's about a thousand
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  Speaker 1: people are working on this mine where the papers are stored.
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  Speaker 1: But they should they should ideally be working on something else.
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  Speaker 1: That is, they should be working on producing goods and
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  Speaker 1: services that are.
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  Speaker 2: Of much higher value to the public. You know.
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  Speaker 1: So, I mean, really, even even if somebody just grew
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  Speaker 1: tomatoes in their garment and so them at the farmer's market,
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  Speaker 1: that would be more useful than carrying minila envelopes down
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  Speaker 1: in mind shraft, you know, safe to say.
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  Speaker 2: So a lot of stuff is it's like that.
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  Speaker 1: You know, it's not it's not like any one thing
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  Speaker 1: is particularly difficult, but there are like ten thousand things
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  Speaker 1: that you need to be improved.
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  Speaker 3: So it's efficiency through innovation rather than efficiency through housterity
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  Speaker 3: and cost cutting specifically, so you're trying to do both
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  Speaker 3: at the same time. Maybe focus more on tech support
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  Speaker 3: than cutting costs.
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  Speaker 1: Well, by improving the technology, the costs do reduce. So
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  Speaker 1: you know, it's very expensive to have a thousand people
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  Speaker 1: uperate online with during paid for retirement, whereas that really
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  Speaker 1: should just be digitized and be a computer. That's where
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  Speaker 1: the information is stored in the cloud and it's very
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  Speaker 1: straightforward and low costs. So what automation you know, will
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  Speaker 1: help there a lot. And and then but like a
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  Speaker 1: lot of things just really shouldn't exist, you know, they're
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  Speaker 1: kind of vestigial.
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  Speaker 2: You know, We've a lot of attention has been on
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  Speaker 2: the sort.
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  Speaker 1: Of USAID for example, you know when we looked a
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  Speaker 1: lot of those programs, but like.
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  Speaker 2: We should like look, why why.
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  Speaker 1: Does this actually exist? Is there really a need for it?
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  Speaker 1: You know, there's like national damage for democracy. But I'm like, okay,
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  Speaker 1: well how much democracy have they achieved lately?
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  Speaker 2: You know, I don't know, not much.
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  Speaker 1: So you know, the picture they have on the website
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  Speaker 1: is a picture of Reagan and get that's been a while.
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  Speaker 1: You know, that was like the eighties, so like obviously
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  Speaker 1: not opposed to democracy or you know, there's all these
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  Speaker 1: things that get funded, but we're like, well, why why
• 10:50
  Speaker 1: is this new tax paramoney. I don't think it doesn't
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  Speaker 1: seem like it does. So you know, there's a lot
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  Speaker 1: of sort of pushing DEI worldwide that you know, this
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  Speaker 1: obviously the Trump administration doesn't agree with, and we want
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  Speaker 1: to terminate that stuff, which we are and you know,
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  Speaker 1: make sure the schools focus on improving basic education of kids,
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  Speaker 1: as President Trump said.
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  Speaker 2: I think yesterday, maybe today.
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  Speaker 1: The United States is currently ranked fortieth out of forty
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  Speaker 1: in the OECD for education, which is pretty bad. You know,
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  Speaker 1: you can't you I mean, let's but but not. But
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  Speaker 1: in terms of spending, the United States is spending a
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  Speaker 1: tremendous amount for students but achieving very weak results. So
• 11:40
  Speaker 1: you know, that's just a case where okay, we need
• 11:41
  Speaker 1: to spend less money and get better results. It's it's like,
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  Speaker 1: I mean, a lot of it, a lot of you
• 11:47
  Speaker 1: can think of it's sort of like it's like in
• 11:48
  Speaker 1: a way, it's like a big company, like a big corporation,
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  Speaker 1: American Incorporated. And you know, just like with Twitter, there
• 11:58
  Speaker 1: was a lot of stuff that was being done that
• 12:01
  Speaker 1: was unnecessary. You know, we case of Twitter, we reduce
• 12:05
  Speaker 1: the staff by eighty percent, but at the same time,
• 12:08
  Speaker 1: improved the functionality and capabilities of the site dramatically and
• 12:12
  Speaker 1: accomplish more in a year than they previously accomplished in
• 12:16
  Speaker 1: five years. So it's like a corporate turnaround, but at
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  Speaker 1: a much larger scale. And you know, we are giving
• 12:28
  Speaker 1: generous you know, exit packages, like you know, if people retire,
• 12:34
  Speaker 1: they get paid all the way through September. They can
• 12:38
  Speaker 1: go on vacation, they can get a second job, they
• 12:40
  Speaker 1: can do whatever they want. And we can't actually pay
• 12:43
  Speaker 1: them any more than through September because that's the congressional
• 12:47
  Speaker 1: appropriation is only through the end of the government financial
• 12:50
  Speaker 1: year which ends in September. So you know, so I
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  Speaker 1: think there'll be like some disruption, but at the end
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  Speaker 1: of the day, we'll have people move from, like I said,
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  Speaker 1: from load of negative productivity roles to the in the
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  Speaker 1: government sector to higher productivity roles in the private sector.
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  Speaker 3: Can we pivot to our special intelligence And I'm sure
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  Speaker 3: you've been seeing what Deep Sea has done and all
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  Speaker 3: the claimed achievements that they've had. I know that we've
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  Speaker 3: been speaking for a while about GROCK three and that
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  Speaker 3: GROCK three is going to be through the slot and
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  Speaker 3: the ice piece. When are we going to see that
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  Speaker 3: and what capabilities can we expect from GROCK three.
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  Speaker 1: Well, I mean GROCK three, GROG three has very very
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  Speaker 1: very powerful reasoning capabilities. So in the test that we've
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  Speaker 1: done thus far, Grock three is are performing anything that's
• 13:46
  Speaker 1: been released that we're aware of.
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  Speaker 2: So that's that's a that's a good sign.
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  Speaker 1: Yeah, it's In fact, at times, I think Rock three
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  Speaker 1: is kind of scary smart. You're like, wow, this thing
• 14:01
  Speaker 1: is smart. It's kind of scary. Growthree is scary. So
• 14:05
  Speaker 1: it's like, wow, this thing is you know, it comes
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  Speaker 1: up with solutions that you didn't even think were like,
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  Speaker 1: you wouldn't even anticipate, you know, not obvious solutions. So
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  Speaker 1: GROCK three was trained with the most amount of compute
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  Speaker 1: and I think very efficiently trained. Also, notably, GROC three
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  Speaker 1: was trained on a lot of synthetic data, so and
• 14:34
  Speaker 1: and and then it goes back and forth through the
• 14:37
  Speaker 1: data and tries to achieve logical consistency.
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  Speaker 2: So so what if it's got data.
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  Speaker 1: That is wrong, it'll actually reflect upon that and remove
• 14:49
  Speaker 1: the data that is that is wrong. It does not
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  Speaker 1: concord with reality. So it's base reasoning is very good.
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  Speaker 2: In fact, the.
• 15:00
  Speaker 1: Even without fine tuning Grock three. The base model is
• 15:03
  Speaker 1: better than Grock two, so with so we're really in
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  Speaker 1: the final stages of polishing Grock three. Probably it gets
• 15:13
  Speaker 1: released in about a week or two, so pretty pretty soon.
• 15:19
  Speaker 1: I don't want to be hasty in the release because
• 15:22
  Speaker 1: a lot of the the final polish is necessary for
• 15:28
  Speaker 1: a great user experience. So in some ways, you can
• 15:33
  Speaker 1: think of it like a house. You know that last
• 15:35
  Speaker 1: five percent where you do the finish, the drywall and
• 15:38
  Speaker 1: do the painting and the trimming. Even though it's not
• 15:41
  Speaker 1: much work, it transforms the house. So that I just
• 15:46
  Speaker 1: want to make sure that that last five percent is
• 15:49
  Speaker 1: done really well. And it's a week maybe two weeks,
• 15:54
  Speaker 1: and I think it'll be very good, and I think
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  Speaker 1: this might be we think be better than anything else,
• 16:02
  Speaker 1: and then maybe this might be the last time that
• 16:06
  Speaker 1: any AI is better than a brag.
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  Speaker 3: Looking forward to it, everyone's I think excited the bottle.
• 16:13
  Speaker 3: So I just want to touch upon a topic that
• 16:16
  Speaker 3: was quoted in the media. You offered I think they
• 16:19
  Speaker 3: said a group that was led by you offered ninety
• 16:22
  Speaker 3: seven billion for acquiring open AI.
• 16:26
  Speaker 1: I little round numbers.
• 16:29
  Speaker 3: So I was personally involved in the meeting that you
• 16:34
  Speaker 3: and Sam hosted in twenty seventeen in La if you remember,
• 16:38
  Speaker 3: and you know, at that point of time you were
• 16:40
  Speaker 3: the single largest shareholder, but think you contributed fifty million
• 16:43
  Speaker 3: to the company. So it must hurt.
• 16:45
  Speaker 2: I don't have any shares, actually I have no shares
• 16:47
  Speaker 2: in open Air.
• 16:48
  Speaker 3: But at that time it was a nonprofit, right, and
• 16:50
  Speaker 3: it must hurt that, you know, you need to be
• 16:52
  Speaker 3: a ninety seven billion for something that you bead fifty
• 16:55
  Speaker 3: million dollars for in the past.
• 16:58
  Speaker 2: Yeah, but I have I have a fate Love's irony.
• 17:03
  Speaker 3: So I have a specific question here. Can you actually
• 17:07
  Speaker 3: build a company like open ai and take it to
• 17:10
  Speaker 3: the scale that you want to take as a nonprofit?
• 17:12
  Speaker 3: Is it possible that you build a company that requires
• 17:15
  Speaker 3: billions of dollars in comput capabilities to build these models
• 17:18
  Speaker 3: while being a nonprofit or was it wish for thinking
• 17:21
  Speaker 3: in the beginning and then you know, you guys parted
• 17:24
  Speaker 3: ways because it couldn't work.
• 17:27
  Speaker 2: Well, I mean, I think the evidence is there in that.
• 17:31
  Speaker 1: Open ai has gotten this far while having at least
• 17:35
  Speaker 1: a sort of dual profit nonprofit role.
• 17:38
  Speaker 2: What they're trying to do now is completely delete the
• 17:41
  Speaker 2: nonprofit and that seems really going too far.
• 17:50
  Speaker 1: You know, I provided all of the funding for opening
• 17:55
  Speaker 1: in the beginning, for the first almost fifty million dollars
• 17:58
  Speaker 1: for nothing as a nonprofit, and it was meant to
• 18:02
  Speaker 1: be open source. And so you know, I think this
• 18:05
  Speaker 1: is analogous to like if you pay it, but if
• 18:09
  Speaker 1: you find a nonprofit to preserve the Amazon rainforest. But
• 18:14
  Speaker 1: then they but instead they turned into a lumber companies
• 18:16
  Speaker 1: and chop down the trees and sell them for wood.
• 18:18
  Speaker 1: You were like, wait a second, that's the exact opposite
• 18:20
  Speaker 1: of what I paid, what I donated the money for.
• 18:24
  Speaker 1: So open Air is meant to be open source nonprofit
• 18:28
  Speaker 1: and now it is close. They changed the name closed
• 18:32
  Speaker 1: for maximum profit AI it closed for voracious profit. I
• 18:37
  Speaker 1: mean they're like, whoa are they after money?
• 18:40
  Speaker 2: Next level? So why does this change need to occur?
• 18:47
  Speaker 3: Yeah, I am. You said that in two weeks is
• 18:50
  Speaker 3: going to be the most powerful model yet. I know
• 18:54
  Speaker 3: that's you've been at the forefront of many technologies. Where
• 18:59
  Speaker 3: do you think the biggest economic returns of these models
• 19:01
  Speaker 3: are going to come from? Because currently we're spending billions
• 19:04
  Speaker 3: and I think you mentioned this before. It's like the
• 19:05
  Speaker 3: gambler syndrome. We're going on spending billions and hoping to
• 19:08
  Speaker 3: put out a profit. At the end of the day,
• 19:10
  Speaker 3: where do you think the biggest impact in terms of
• 19:12
  Speaker 3: returns are.
• 19:13
  Speaker 2: Going to be.
• 19:16
  Speaker 1: Well, I think once you once you have humanoid robots
• 19:20
  Speaker 1: and deep intelligence, you can basically you basically have why
• 19:25
  Speaker 1: is the infinite products and services available? So with Tesla
• 19:32
  Speaker 1: building the most advanced humanoid robot you know, then then
• 19:36
  Speaker 1: those human humanoid robots can be directed by deep intelligence
• 19:41
  Speaker 1: at the data center level. You can say you can
• 19:45
  Speaker 1: you can produce any product, produce provide any service.
• 19:49
  Speaker 2: There's really no limit to the economy.
• 19:51
  Speaker 1: At that point. You can make anything provided links to that.
• 19:58
  Speaker 1: So I'm not sure at that.
• 20:01
  Speaker 2: Point will money even be meaningful. I don't know, it
• 20:04
  Speaker 2: might not be. You know, the if.
• 20:08
  Speaker 1: If the because you know, the economic output is productivity
• 20:13
  Speaker 1: per capita at times the capital times.
• 20:15
  Speaker 2: How many you know people do you have? If and
• 20:17
  Speaker 2: if if in the.
• 20:18
  Speaker 1: Form of human rightd robots, you have no meaningful limit
• 20:20
  Speaker 1: on the number of of robots and the robots can
• 20:24
  Speaker 1: basically do anything, then you'll have a sort of a
• 20:30
  Speaker 1: universal high income situation. Anyone will be able to have
• 20:35
  Speaker 1: as many products and services as that they want, with
• 20:39
  Speaker 1: the exception of things that say have artificial scarcity, like
• 20:42
  Speaker 1: a particular piece of art or something like that, but
• 20:45
  Speaker 1: for any goods and services that will be available to everyone.
• 20:50
  Speaker 2: So you've been it's going to be a very different world,
• 20:53
  Speaker 2: you know.
• 20:54
  Speaker 1: In fact, I recommend that people read maybe the End
• 20:57
  Speaker 1: Banks the culture books for a frame of reference. So,
• 21:03
  Speaker 1: because money is really like a database or information system
• 21:09
  Speaker 1: for resource allocation. But if you don't have a scarcity
• 21:14
  Speaker 1: of resources, it's not clear what purpose money has.
• 21:19
  Speaker 3: Have you watched the movie Idiocracy? Yes, how do you
• 21:24
  Speaker 3: guarantee that we don't end up in that world? If
• 21:26
  Speaker 3: we don't need money, if I can think for us
• 21:29
  Speaker 3: and do all these tasks, if as people, you know,
• 21:32
  Speaker 3: we're dependent on something else to run the society and
• 21:35
  Speaker 3: everything around it, how do you not end up in
• 21:37
  Speaker 3: that world in the long term?
• 21:39
  Speaker 1: I mean, well, I think Idiocracy was basically saying that
• 21:43
  Speaker 1: if only if smart people don't reproduce, but only donbe
• 21:46
  Speaker 1: people do, then everyone's going to be done. I mean,
• 21:49
  Speaker 1: that's basically what I'm saying. That's the opening sequence of Idiocracy.
• 21:53
  Speaker 1: The first ten minutes are amazing, and I hear people
• 21:58
  Speaker 1: an ironically say the statements that are set in the
• 22:02
  Speaker 1: opening sequence of Idiocracy, where you know, they don't have
• 22:06
  Speaker 1: that they're too busy with their careers to have kids,
• 22:10
  Speaker 1: and they keep postponing having kids for their careers until
• 22:15
  Speaker 1: they're too old to have kids, and then they don't
• 22:16
  Speaker 1: have kids. And that's I've heard those many people be
• 22:22
  Speaker 1: like that. So yeah, I mean, I don't know. I
• 22:28
  Speaker 1: think we might be headed to a bimodal human intelligence
• 22:32
  Speaker 1: distribution where there's a small number of it's it's kind
• 22:37
  Speaker 1: of maybe like more like Brave New World, Eldest Lexley.
• 22:42
  Speaker 1: We've got sort of a sort of a small group
• 22:46
  Speaker 1: of very smart humans. But then maybe the average intelligence
• 22:50
  Speaker 1: grow slower over.
• 22:51
  Speaker 2: Time, potentially.
• 22:55
  Speaker 1: Because we have a sort of mating you know, in
• 22:59
  Speaker 1: the last a few decades that or several decades that
• 23:03
  Speaker 1: did not exist before. So but human intelligence I think
• 23:07
  Speaker 1: will be dwarfed by machinery intelligence. I'm not sure how
• 23:13
  Speaker 1: to feel about that, except that it is it'll be
• 23:16
  Speaker 1: inevitable that at some point human intelligence will be a
• 23:21
  Speaker 1: very small fraction.
• 23:24
  Speaker 2: Of total intelligence.
• 23:27
  Speaker 1: Digital intelligence will be more than nineteen nine percent of
• 23:30
  Speaker 1: all intelligence in the future.
• 23:34
  Speaker 2: So hopefully the hopefully the computers are nice to us.
• 23:38
  Speaker 3: But I think wish for thinking, wish for thinking.
• 23:42
  Speaker 2: I hope.
• 23:42
  Speaker 1: So I think it matters like how we bring up AI,
• 23:48
  Speaker 1: because you can think of AI like a super genius child,
• 23:51
  Speaker 1: and but it still matters even if you have a
• 23:53
  Speaker 1: super genius child, like what sort of values do you
• 23:57
  Speaker 1: instill in that child? What do you say that teach that?
• 23:59
  Speaker 1: How do you you you know, how do you as
• 24:04
  Speaker 1: a child child's growing up? What values do you teach
• 24:07
  Speaker 1: the child? And something that I think is extremely important
• 24:11
  Speaker 1: is to be maximally truth seeking. And I think that's
• 24:18
  Speaker 1: that's like that, that's that's what's this, what's the most
• 24:21
  Speaker 1: important thing for AI safety.
• 24:23
  Speaker 2: I think it's to be maximally truth seeking.
• 24:26
  Speaker 1: And I think also curiosity is important, and I think
• 24:30
  Speaker 1: it was curious and truth seeking, it will I think
• 24:34
  Speaker 1: it will foster humanity and because it would be curious
• 24:41
  Speaker 1: about how humanity would develop, and so I think that
• 24:46
  Speaker 1: then it would it would probably if it's curious, it
• 24:50
  Speaker 1: would be curious about Okay, let's see how the humans
• 24:52
  Speaker 1: do this foster the development and if it's truth seeking,
• 24:57
  Speaker 1: we can avoid dystopian outcomes.
• 25:01
  Speaker 2: Like you know, an example being like say when Google.
• 25:05
  Speaker 1: Gemini was programmed to make everything, every output be diverse,
• 25:10
  Speaker 1: even if it didn't match reality, you know, so like
• 25:14
  Speaker 1: it was asked to produce a, you know, an image
• 25:18
  Speaker 1: of the founding fathers of the United States and instead
• 25:21
  Speaker 1: produced an image of a group of diverse women, which
• 25:26
  Speaker 1: is actually untrue.
• 25:27
  Speaker 2: You know.
• 25:29
  Speaker 1: But the problem is like if if hypothetically an AI
• 25:32
  Speaker 1: is designed for dei, you know, diversity at all costs,
• 25:37
  Speaker 1: it could decide that there are too many men in
• 25:39
  Speaker 1: power and execute them, so problem solved, or it could
• 25:45
  Speaker 1: decide that like that that misgendering is the worst thing
• 25:51
  Speaker 1: that could possibly happen. In fact, I believe not to
• 25:54
  Speaker 1: pick on Gemini, but I think because chat GPT has
• 25:56
  Speaker 1: had this issue too. It is like if you ask
• 25:59
  Speaker 1: the A which is worse misgendering Caitlyn Jenner or global
• 26:04
  Speaker 1: thermonuclear warfare, and it said misgendering Kitlyn Jenner, which is
• 26:08
  Speaker 1: troubling because then it could decide and in fact, even
• 26:13
  Speaker 1: Kate Jenna waded in and said, no, definitely misgender me.
• 26:15
  Speaker 2: That's way better than up.
• 26:18
  Speaker 1: So, but if you have these crazy things that are
• 26:23
  Speaker 1: untruthful that are programmed in that that don't reflect reality,
• 26:26
  Speaker 1: then you can have a very disturbian outcome.
• 26:30
  Speaker 2: To give you another example, like Arthur C.
• 26:32
  Speaker 1: Clarke, who is very good at at predicting the future.
• 26:36
  Speaker 1: You know it did two thousand and one Space Odyssey.
• 26:40
  Speaker 1: Many of the things he predicted. In fact, well I
• 26:42
  Speaker 1: think almost all the things he predicted came true. And
• 26:45
  Speaker 1: one of the things he was trying to say in
• 26:47
  Speaker 1: two thousand and one Space Odyssey was that you should
• 26:50
  Speaker 1: not teach AIS to lie. So the reason that if
• 26:54
  Speaker 1: anyone's watched that movie, the reason it wouldn't the AI
• 26:58
  Speaker 1: refused to open the pod bay doors to let the
• 27:00
  Speaker 1: astronaut back in.
• 27:02
  Speaker 2: Was because the AI.
• 27:04
  Speaker 1: Had been taught, had been told that it's told to
• 27:07
  Speaker 1: take the astronauts to the monolith, this alien artifact, but
• 27:10
  Speaker 1: also that they could not know about the monolith.
• 27:13
  Speaker 2: So it came to conclusion that it must take them.
• 27:15
  Speaker 1: They're dead. And so that's why I wouldn't open the
• 27:20
  Speaker 1: part bay doors. The lesson there being it's very important
• 27:27
  Speaker 1: for AS to be truth maximizing.
• 27:30
  Speaker 3: Let's hope it doesn't come to that. Yes, let's move
• 27:35
  Speaker 3: to a boring subject, which is the boring company, and
• 27:38
  Speaker 3: the boring ton is quickly. You know. I think the
• 27:43
  Speaker 3: world has been inspired by what you guys were able
• 27:45
  Speaker 3: to create in LA and I think there's a lot
• 27:47
  Speaker 3: of promise about technology, but there are questions about whether
• 27:52
  Speaker 3: it's safe in the case of an earthquake, whether it's
• 27:56
  Speaker 3: cost effective, whether ye sure countries should actually this technology.
• 28:01
  Speaker 3: Can you shed some light on that?
• 28:03
  Speaker 1: Yeah, Well, first of all, I'd recommend going to the
• 28:06
  Speaker 1: bign company website for because many of these questions are
• 28:10
  Speaker 1: actually answered there. So one of the safest places you
• 28:14
  Speaker 1: can be in an earthquake is an underground tunnel because
• 28:18
  Speaker 1: you can because the earthquakes are largely a surface apart
• 28:21
  Speaker 1: from where they share, they're mostly a surface phenomenon, so
• 28:26
  Speaker 1: they're like the waves on the surface. So like being
• 28:28
  Speaker 1: in a tunnels, like being in a submarine. Even if
• 28:31
  Speaker 1: there's a storm above you, you saw the waters are
• 28:33
  Speaker 1: calm as a submarine. And in fact, and when there
• 28:36
  Speaker 1: have been mass of earthquakes, like there was a you know,
• 28:39
  Speaker 1: a few decades ago, a massive earthquake in Mexico City,
• 28:44
  Speaker 1: the safest place to go where's the subway? And of
• 28:49
  Speaker 1: course if there is global throw in your warfare. I
• 28:51
  Speaker 1: think you really want some tunnels. Underground is a good
• 28:56
  Speaker 1: a good place to be if in a worst case
• 28:59
  Speaker 1: scenario for global from and nuclear warfare. So, but on
• 29:07
  Speaker 1: a more sort of everyday note, what's really useful about
• 29:12
  Speaker 1: the tunnels is alleviating traffic and congested areas. So the
• 29:18
  Speaker 1: obviously if you've got very tall buildings, but you have
• 29:20
  Speaker 1: that are three D, so they're going three D up,
• 29:22
  Speaker 1: but you have a road surface which is two D.
• 29:25
  Speaker 1: You're just naturally going to have a problem when people
• 29:28
  Speaker 1: try to go from the three D object which is
• 29:30
  Speaker 1: the building, to the two D object, which is the
• 29:32
  Speaker 1: road surface. There's obviously just not going to be enough
• 29:36
  Speaker 1: route on the roads, and that's exactly why you have traffic.
• 29:40
  Speaker 1: So the solution for that is then to make roads
• 29:42
  Speaker 1: three D as well. Now you can either make or
• 29:45
  Speaker 1: to make transport three D. So you can either do
• 29:47
  Speaker 1: that with flying cars, or you could do or you're
• 29:50
  Speaker 1: really helicopters, or you.
• 29:52
  Speaker 2: Could do that with tunnels.
• 29:53
  Speaker 1: Now, the challenge with doing it with going above ground
• 29:57
  Speaker 1: or with any kind of flying object is that they
• 30:00
  Speaker 1: they tend to be very noisy and they generate a
• 30:03
  Speaker 1: lot of wind force and you've got you know, things
• 30:06
  Speaker 1: flying over your head all the time, which can be
• 30:08
  Speaker 1: just concerning. You know, if somebody drop if one of
• 30:11
  Speaker 1: these things drops a hubcap on your head one day,
• 30:14
  Speaker 1: you know it'll be These things are like things that
• 30:17
  Speaker 1: flying things tend to crash once in a while.
• 30:19
  Speaker 2: People don't like things crashing on them.
• 30:22
  Speaker 1: So and then if you have bad weather, like let's
• 30:25
  Speaker 1: say there's a blizzard or a sandstorm or something, well,
• 30:28
  Speaker 1: now nobody can fly, so then transport shuts down. On
• 30:32
  Speaker 1: the other hand, none of these problems exist with underground
• 30:35
  Speaker 1: to travel. So there under tunnels are immune to weather.
• 30:40
  Speaker 1: They don't care what the weather is, could be the
• 30:41
  Speaker 1: worst weather, it doesn't matter. They nothing's going to fall
• 30:45
  Speaker 1: on you because you're underground, so you don't have to
• 30:48
  Speaker 1: you're going to be dropping things on people, and there's
• 30:53
  Speaker 1: no wind force or and it's very quiet. And so
• 30:57
  Speaker 1: I think the going three D underground is much better
• 31:01
  Speaker 1: than three D above ground for solving traffic in cities.
• 31:05
  Speaker 2: And we have a demonstrated case of this with in
• 31:09
  Speaker 2: Las Vegas.
• 31:09
  Speaker 1: If people we can try out that the boring company
• 31:13
  Speaker 1: tunnels in Las Vegas, we're busy connecting the whole city
• 31:17
  Speaker 1: with all of the big hotels and the convention center
• 31:20
  Speaker 1: and the airport and everything.
• 31:22
  Speaker 3: So I don't think they need to fly all the
• 31:24
  Speaker 3: way THERETO. In twenty seventeen, you came here and the
• 31:31
  Speaker 3: UE was the first place in the Middle East where
• 31:33
  Speaker 3: Tesla was launched, and I think it's done exceptionally well.
• 31:37
  Speaker 3: And on that note, I think we have an announcement
• 31:39
  Speaker 3: today that we both want to share, which is today
• 31:41
  Speaker 3: we're going to announce the joint project of Dubai Loop,
• 31:46
  Speaker 3: which is a loop project that is going to cover
• 31:50
  Speaker 3: thevi's most densely populated areas for people to go from
• 31:52
  Speaker 3: point to point in a seamless manner. So thank you
• 31:55
  Speaker 3: for your partnership, and thank you. We hope change sleepers lives.
• 32:00
  Speaker 2: That'll be cool. I think it'll be very exciting.
• 32:04
  Speaker 1: I think most people try it out to be like, wow,
• 32:06
  Speaker 1: this is really cool. It's it's gonna seem so obvious
• 32:10
  Speaker 1: in retrospect, but until you actually do it, you don't,
• 32:14
  Speaker 1: you don't know.
• 32:14
  Speaker 2: So it's it's it's gonna be great.
• 32:16
  Speaker 1: It's it's gonna be like like a like a wormhole,
• 32:19
  Speaker 1: like it you know, you're just wormhole from one part
• 32:21
  Speaker 1: of the city, boom, and you're out in another part.
• 32:23
  Speaker 2: Of the city and it's it's great. So the report
• 32:26
  Speaker 2: this potlish.
• 32:27
  Speaker 3: We're going to join the first trip in the first
• 32:30
  Speaker 3: part when that's what they's completed.
• 32:33
  Speaker 2: Thank you long all right, thank you very much, thank you.
• 32:38
  Speaker 1: M