Latest / Elon Musk Podcast / BREAKING NEWS : Elon Gives Huge DOGE Updates to all World Governments

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BREAKING NEWS : Elon Gives Huge DOGE Updates to all World Governments · Elon Musk Podcast

• 0:01
  Hey everybody. Welcome back to the Elon Musk
• 0:04
  Podcast. This is a show where we discuss
• 0:07
  the critical crossroads, the Shape, SpaceX, Tesla X, The
• 0:11
  Boring Company, and Neurolink. I'm your host, Will Walden.
• 0:15
  I was going to introduce you as tech support for the White
• 0:18
  House, but is that all you do? I'm.
• 0:20
  Wearing my official uniform. Tech support.
• 0:22
  You were probably the busiest man on Earth prior to January
• 0:25
  20th. I don't know what you call
• 0:27
  yourself now. The first is we're going to talk
• 0:29
  about Doge, then we're going to move to AI, and then finally
• 0:32
  we're going to conclude with boring cities.
• 0:34
  Typically people always start by saying, you know, he over
• 0:37
  promises and he won't deliver. They finally see the trend of
• 0:39
  his directory and they turn out to be supporters.
• 0:42
  Do you think we'll see that in the government efficiency space?
• 0:45
  Well, yes, first of all, I think we've got quite a lot of support
• 0:48
  from the American, the place of the American public and I think
• 0:50
  from maybe around the world, the when the public has pulled on
• 0:55
  sort of improving government efficiency.
• 0:56
  In fact, it is I believe the highest polling single issue,
• 1:00
  meaning that it is something that appeals to voters of all
• 1:03
  types. I think improving government
• 1:05
  efficiency was like almost 70% support quite a lot, basically
• 1:10
  more than any other issue. So the I think the people are
• 1:14
  very supportive. Obviously there's certain
• 1:16
  elements of the bureaucracy that are not supportive because we
• 1:18
  are moving them from the government sector to the private
• 1:21
  sector. So at a high level, this is kind
• 1:25
  of like we're really just removing people from low to
• 1:28
  sometimes negative productivity roles in the government sector
• 1:31
  to higher productivity roles in the private sector.
• 1:36
  And the net effect of that will be an an increase in the output
• 1:38
  of useful bids and services, which increases the standard of
• 1:42
  living and well-being of the the Irish American.
• 1:46
  And you usually have one key target that you aim to achieve
• 1:50
  in every single endeavour that you have.
• 1:51
  So SpaceX is make humanity a multi planetary species with
• 1:55
  Tesla is usher in an era of sustainable travel.
• 1:59
  What is the one main goal for government efficiency that you
• 2:02
  have person? Is it saving money?
• 2:04
  Is it doing something else? What is the one mean task?
• 2:06
  That you operate says, yeah. So there's, I guess there's,
• 2:11
  well, there's a few ways to describe it, but the actions end
• 2:14
  up being the same, which is like reducing the size of government
• 2:18
  and making the government much more accountable to the people.
• 2:22
  I think is going to lead to a better outcome for the people.
• 2:25
  You know, I would have said is that we really have here rule of
• 2:29
  the bureaucracy as opposed to rule of the people, democracy.
• 2:33
  So we want to restore rule, rule of the people.
• 2:36
  And So what that means is reducing the size of the federal
• 2:39
  government, basically reducing regulation.
• 2:43
  You know, there's there's a there's a tremendous amount of
• 2:45
  over regulation that's happened over time.
• 2:47
  This isn't an inevitable consequence of a long period of
• 2:51
  prosperity is that you're going to get more and more rules and
• 2:55
  regulations. More laws accumulate over time
• 2:58
  and the normal forcing function for getting rid of rules and
• 3:01
  regulations is war. So at least some kind of
• 3:03
  existential war where you you have to do a reset in order to
• 3:09
  avoid being defeated in a war. This is literally the throughout
• 3:12
  history has been the main forcing function for clearing
• 3:15
  out an accumulation of laws and regulation.
• 3:18
  In the absence of that, every year you get more laws and
• 3:21
  regulations until eventually everything is illegal and
• 3:23
  nothing is permitted. And that's sort of the situation
• 3:26
  we have these days. So the aspiration here is a
• 3:31
  reduction in regulation and reduction in government spending
• 3:35
  such that the economy is able to grow faster.
• 3:39
  Maybe the economy can grow at 4 or 5% potentially of in terms of
• 3:43
  real useful goods and services output.
• 3:46
  And then government spending can be reduced by about 3 or 4% of
• 3:50
  the economy, maybe a trillion dollars or more.
• 3:52
  And the net effect of that would be no inflation from 2025 to
• 3:57
  2026. So they'll require remarkable.
• 4:00
  And also if the US government is buying less debt, which I think
• 4:03
  will be the case if the deficit drops from 2 trillion to one
• 4:06
  trillion, then there'll be 1 trillion less debt that the
• 4:09
  government suppliers drop. Of course, interest rates to
• 4:11
  drop significantly. And that means people's mortgage
• 4:15
  payments, car payments, credit card payments, student loans,
• 4:19
  whatever debt they have will their debt payments will be
• 4:22
  less. So I think this is something
• 4:23
  that will benefit the average American.
• 4:27
  I think some of the things we're doing also will be helpful to,
• 4:30
  hopefully helpful to other countries, because with the new
• 4:33
  administration, there's less interest in interfering with the
• 4:37
  affairs of other countries. I think a lot of the times the
• 4:42
  United States has been kind of pushy in international affairs,
• 4:47
  which may resonate with a number of members of the audience.
• 4:50
  And I think we should, in general leave other countries to
• 4:54
  their own business. And basically America should
• 4:57
  mind its own business rather than push for regime change all
• 5:01
  over the place. So it's probably good for other
• 5:04
  countries too. So instead of waiting for the
• 5:06
  war to happen, you went to war against the bureaucracy in the
• 5:09
  government. Yes, we're essentially just
• 5:11
  with, you know, support and direction of President Trump.
• 5:16
  We are reducing the size of the bureaucracy, getting rid of
• 5:20
  excess regulatory regulations. And there's also so many
• 5:24
  agencies and regulatory authorities that they actually
• 5:26
  step on each other's feet. It's kind of like having a
• 5:28
  sports game where there are too many referees on the field, like
• 5:31
  more referees than players at times.
• 5:33
  So that would be a silly game if the players can't pass the ball
• 5:36
  without hitting a referee. But it's kind of getting to that
• 5:38
  point in the US. So.
• 5:39
  So there's roughly 450 federal agencies of one kind or another.
• 5:45
  That's more agencies. That's almost an average of two
• 5:48
  agencies per year since the formation of the United States.
• 5:51
  So I mean, how many agencies do you really need to run a
• 5:53
  country? About 450, that's for sure.
• 5:56
  And how do you guarantee that all the incredible achievements
• 6:00
  that you aim to have in terms of savings, in terms of, you know,
• 6:03
  impacting the lives of the American people are not going to
• 6:07
  be reversed in four years? Typically, the cycle gets
• 6:10
  reversed every four years. You know, do you think it's
• 6:12
  going to be so impactful that it won't be reversed?
• 6:15
  Is there any ways that you can, you know, ensure that the
• 6:18
  progress is going to be continuous?
• 6:20
  Well, I think we do need to delete entire agencies as
• 6:24
  opposed to leave part of them behind.
• 6:26
  It's really part of them behind. It's easy.
• 6:29
  It's kind of like leaving a weed.
• 6:31
  If you don't remove the roots of the weed, then it's easy for the
• 6:35
  weed to grow back. But if you remove the roots of
• 6:37
  the weed, it doesn't stop weeds from ever going back, but it
• 6:40
  makes it harder. So, so we have to really delete
• 6:44
  entire agencies. Many of them you're off receive
• 6:47
  in some new administration, but it will, it'll be from a much
• 6:51
  lower baseline. So, so it's, it's a step in the
• 6:54
  right direction. I think we'll, the overarching
• 6:56
  goal here is like it's laid the foundation for prosperity that
• 7:00
  will last many decades, you know, maybe centuries.
• 7:04
  Nothing's forever. But I think we can strengthen
• 7:07
  the foundations of the United States substantially.
• 7:11
  And what lessons can other governments learn from the US?
• 7:13
  You see tech support on your shirt.
• 7:15
  Is that only technology or is there other things?
• 7:18
  How do you approach efficiency? Well, a shocking percentage of
• 7:22
  the problem. Well, maybe it's not shocking
• 7:24
  for those who know it, but a big percentage of the problem is
• 7:29
  improving the technology that the government runs on.
• 7:31
  So the US government runs on a collection of thousands of
• 7:34
  computers, many of them antiquated running very old
• 7:37
  software that then the computers don't talk to each other.
• 7:40
  In order to make the government more efficient, you have to
• 7:42
  improve the technology. You may have read about the
• 7:45
  example I used recently with when President Trump was saying
• 7:49
  this, one of the Dodge executive orders of the difficulty of U.S.
• 7:53
  government workers retiring like the retire maximum retirement
• 7:56
  rate is 10,000 a month. And the reason for that is
• 8:00
  because the retirement is entirely paperwork right now.
• 8:03
  It's manually calculated paperwork that's put in an
• 8:07
  envelope and then taken down a mine shaft and stored in a mine.
• 8:10
  And then the, you know, one of the things that affects the rate
• 8:14
  at which federal workers can retire is the speed of the
• 8:18
  elevator in a mine in Pennsylvania, which is bizarre
• 8:22
  because it's not. It should be digital, you know.
• 8:24
  So then when we said, well, why isn't it digital?
• 8:26
  It's they said, well, we have had a digitization program the
• 8:30
  going since 2014. So then we asked, well, So what,
• 8:34
  how much progress have you made? And they said B.
• 8:36
  You mean you're giving yourself a grade of B?
• 8:39
  No, we're on the letter B. So like, OK, we're going to need
• 8:43
  to really provide some tech support here.
• 8:46
  Otherwise literally people can't even retire like even if they
• 8:49
  want to, but it's pretty bad. You know, there's a lot of
• 8:52
  software systems that need to be updated and fixed in some cases
• 8:55
  deleted a lot of things that should really should be
• 8:58
  automated. I mean, in terms of the number
• 9:01
  of, say, U.S. citizens that are operating the mine, it's about
• 9:05
  1000 people are working on this mine.
• 9:07
  They should be working on producing goods and services
• 9:09
  that are of much higher value to the public.
• 9:12
  But to, you know, so I mean, really, even if somebody just
• 9:16
  grew tomatoes in their garbage and sold them at the farmers
• 9:18
  market, that would be more useful than carrying Manila
• 9:22
  envelopes down a mine shaft. You know, safe to say a lot of
• 9:26
  the stuff is like that. It's not that any one thing is
• 9:28
  particularly difficult, but there are 10,000 things that
• 9:31
  need to be improved. So it's efficiency through
• 9:33
  innovation rather than efficiency through austerity and
• 9:36
  cost cutting specifically. All right, So you're trying to
• 9:39
  do both at the same time, Maybe focus more on tech support than
• 9:43
  cutting costs? Well, by improving the
• 9:46
  technology the cost be reduced. So you know, it's very expensive
• 9:50
  to have 1000 people operate a mine with doing paper
• 9:53
  retirement, whereas that really should just be digitized and be
• 9:58
  a computer. That's what the information is
• 10:00
  stored in the cloud and it's very straightforward and low
• 10:02
  cost. So what automation, you know,
• 10:06
  will help there a lot. And then but like a lot of
• 10:10
  things just really shouldn't exist.
• 10:13
  You know, they're kind of vestigial.
• 10:15
  You know, a lot of attention has been on the sort of USAID, for
• 10:18
  example, you know, when we looked at a lot of those
• 10:20
  programs when like we should like look, why, why does this
• 10:23
  actually exist? Is there really a need for it?
• 10:26
  You know, there's like National Endowment for Democracy.
• 10:28
  But I'm like, OK, well, how much democracy have they achieved
• 10:31
  lately? You know, I don't know.
• 10:32
  Not much. So, you know, the, the picture
• 10:35
  they have on their website is a picture of Reagan and Gorbachev.
• 10:38
  That's been a while. You know, that was like the 80s.
• 10:41
  And so I like, I'm obviously not opposed to democracy in Europe.
• 10:44
  You know, there's all these things that get funded, but
• 10:47
  we're like, why are we? Why does this need taxpayer
• 10:49
  money? I don't think it doesn't seem
• 10:50
  like it does. You know, there's a lot of sort
• 10:53
  of pushing DEI worldwide. You know, this obviously the
• 10:56
  Trump administration doesn't agree with and we want to
• 10:59
  terminate that stuff, which we are and, you know, make sure the
• 11:03
  schools focus on improving basic education of of kids.
• 11:07
  As President Trump said, I think yesterday, maybe today, the
• 11:11
  United States has currently ranked 40th out of 40 in the
• 11:14
  OECD for education, which is pretty bad.
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  But in terms of spending, the United States is spending a
• 11:20
  tremendous amount for students, but achieving very weak results.
• 11:25
  So that, you know, that's just a case where, OK, we need to spend
• 11:28
  less money and get better results.
• 11:30
  It's, it's, it's like a big company, like a big corporation,
• 11:34
  America Incorporated. And you know, just like with,
• 11:37
  with Twitter, there was a lot of stuff that was being done that
• 11:39
  was unnecessary. You know, we put in the case of
• 11:43
  Twitter, we reduced the staff by 80%, but at the same time
• 11:46
  improved the functionality and capabilities of the site
• 11:49
  dramatically and accomplish more in a year than they previously
• 11:53
  accomplished in five years. So it looks like a corporate
• 11:56
  turn around, but at a much larger scale.
• 11:58
  And we're giving a generous exit packages.
• 12:01
  If people retire, they get paid all the way through September.
• 12:05
  They can go on vacation, get a second job or do whatever they
• 12:08
  want. We can't actually pay them any
• 12:10
  more than through September because the congressional
• 12:13
  appropriation is only through the end of the government
• 12:15
  financial year, which ends in September.
• 12:18
  So I think there'll be like some disruption, but at the end of
• 12:21
  the day we'll have people move from, like I said, from low to
• 12:24
  negative productivity roles in the in the government sector to
• 12:26
  higher productivity roles in the private sector.
• 12:29
  Can we pivot to our special intelligence and I'm sure you'll
• 12:32
  be seeing what Deepseek has done and.
• 12:34
  All the. Cleaned achievements that
• 12:37
  they've had. I know that we've been speaking
• 12:39
  for a while about Grok 3, and that Grok 3 is going to be a
• 12:42
  true disrupt in the AI space. When are we going to see that,
• 12:45
  and what capabilities can we expect from Grok 3?
• 12:49
  Well, the Grok 3 Go 3 has very, very powerful reasoning
• 12:53
  capabilities. In the tests that we've done
• 12:55
  thus far, Grok 3 is outperforming anything that's
• 12:59
  been released that we're aware of.
• 13:00
  Yeah, it's in fact it at times. I think Grok 3 is kind of scary
• 13:05
  smart. You're like, wow, this thing's
• 13:07
  smart. It's kind of scary.
• 13:08
  G3 is scary. It's like, wow, this thing's,
• 13:11
  you know, it comes up with solutions that you didn't even
• 13:14
  think were like you wouldn't even anticipate, you know, not
• 13:18
  obvious solutions. So Grog 3 was trained with the
• 13:22
  most amount of compute and I think very efficiently trained.
• 13:26
  Grog 3 was trained on a lot of synthetic data and then it goes
• 13:30
  back and forth through the data and tries to achieve logical
• 13:34
  consistency. If it's got data that is wrong,
• 13:37
  it'll it'll actually reflect upon that and remove the data
• 13:40
  that is that is wrong. It does not accord with reality.
• 13:44
  So it's based reasoning is very good.
• 13:46
  In fact, the even without fine tuning Route 3, the base model.
• 13:53
  So with, so we're really in the final stages of polishing Brock
• 13:58
  3, probably it gets released in about a week or two.
• 14:03
  I don't want to be hasty in the release because a lot of the
• 14:06
  final Polish is necessary for a great user experience.
• 14:11
  You know, in some ways you can think of it like a house.
• 14:13
  You know, that last 5% where you do the finish, the drywall and
• 14:17
  do the painting and the trimming.
• 14:19
  Even though it's not much work, it transforms the the house.
• 14:23
  So it's that just want to make sure that that last five percent
• 14:26
  is done really well and there's a week, maybe two weeks, I think
• 14:31
  it'll be very good. And I think this might be we
• 14:35
  think it'll be better than anything else.
• 14:37
  And then maybe this might be the last time that any AI is better
• 14:42
  than a Gras I'm. Looking forward to it.
• 14:44
  Everyone's like the bottom. So I I just want to touch upon a
• 14:48
  topic that was quoted in the media.
• 14:50
  You offered, I think they said the group that was led by you
• 14:52
  offered 97 billion for acquiring Open AII.
• 14:56
  Personally take a little round of us so.
• 15:00
  I, I, I was personally involved in the meeting that you and Sam
• 15:03
  hosted in 2017. And if you remember and you know
• 15:07
  at that point of time you were the single largest shareholder,
• 15:09
  but you contributed 50 million to the company, so it must hurt
• 15:12
  I. Don't have any shares.
• 15:13
  Actually, I have no shares in open air.
• 15:16
  But at that time it was a non profit, right?
• 15:17
  And it must hurt that that you need to be 97 billion for
• 15:21
  something that you paid $50 million for in the past.
• 15:24
  Yeah. But I have a specific question
• 15:26
  here. Can you actually build a company
• 15:29
  like Open AI and take it to the scale that you want to take as a
• 15:33
  non profit? Is it possible that you build a
• 15:35
  company that requires billions of dollars in compute
• 15:38
  capabilities to build these models while being a non profit?
• 15:41
  Or was it wishful thinking in the beginning and then, you
• 15:44
  know, you guys parted ways because it couldn't?
• 15:46
  Work. What they're trying to do now is
• 15:48
  completely delete the non profit.
• 15:50
  That seems to really going too far.
• 15:54
  You know, I provided all of the funding for opening at the
• 15:56
  beginning for the first almost $50 million for nothing or as a
• 16:00
  nonprofit and it was meant to be open source.
• 16:04
  You know, I think this is analogous to if you find a
• 16:07
  nonprofit to preserve the Amazon rainforest, but then they but
• 16:12
  instead they turn into a lumber companies and chopped out the
• 16:14
  trees and sold them for wood. You were like, wait a second.
• 16:16
  That's the exact opposite of what I paid, what I donated the
• 16:20
  money for. So opening has meant to be open
• 16:23
  source nonprofit and now it is close at the change.
• 16:27
  Names closed for maximum profit. AI closed for voracious profit.
• 16:32
  I mean they are like whoa are they after money next level?
• 16:35
  So why does this change need to occur?
• 16:39
  I know that. You've been at the forefront of
• 16:42
  many technologies. Where do you think the biggest
• 16:45
  economic returns of these models are going to come from?
• 16:47
  Because currently we're spending billions.
• 16:48
  And I think you mentioned this before, it's like the gambler
• 16:51
  syndrome. We're going and spending
• 16:52
  billions and hoping to pull out. Profit at the end of the day.
• 16:55
  Where do you think the biggest impact in terms of returns are
• 16:58
  going to be? Well, I think once you have
• 17:00
  humanoid robots and deep intelligence, you can basically
• 17:04
  have wisely infinite products and services available.
• 17:08
  So with Tesla building the most advanced humanoid robot, then
• 17:14
  those humanoid robots can be directed by deep intelligence at
• 17:18
  the data center level. Say you can.
• 17:20
  You can produce any product, produce, provide any service.
• 17:24
  There's really no limit to the economy At that point.
• 17:27
  It can make anything. At that point.
• 17:28
  Will money even be meaningful? I don't know.
• 17:31
  It might not be. The economic output is
• 17:35
  productivity per capita times how many people do you have.
• 17:38
  If in the form of humanoid robots, you have no meaningful
• 17:40
  limit on the number of robots, and the robots can basically do
• 17:45
  anything, then you'll have a sort of a universal high income
• 17:48
  situation. Anyone will be able to have as
• 17:52
  many products and services as they want, with the exception of
• 17:56
  things that say, have artificial scarcity, like particular piece
• 17:59
  of art or something like that. But for any goods and services,
• 18:02
  they'll be available to everyone.
• 18:05
  So you've been. It's going to be a very
• 18:08
  different world, you know? In fact, I recommend that people
• 18:11
  read maybe the the yen banks, the Culture books for a frame of
• 18:15
  reference because because money is like a database or an
• 18:19
  information system for resource allocation.
• 18:22
  But if you don't have a scarcity of resources, it's not clear
• 18:25
  what purpose money has. Have you watched the movie
• 18:28
  Idiocracy? Yes, how?
• 18:31
  How do you guarantee that we don't end up in that world if we
• 18:34
  don't need money, if AI can think for us and do all these
• 18:37
  tasks, if as people, you know, we're dependent on something
• 18:41
  else to run the society and everything around it, how do we
• 18:44
  not end up in that world in the long term, I mean.
• 18:47
  Well I think Idiocracy was basically saying that if only if
• 18:50
  smart people don't reproduce but only dumb people do, then
• 18:52
  everyone's going to be dumb. That's the hope.
• 18:54
  The opening sequence of Idiocracy.
• 18:57
  The 1st 10 minutes are amazing. And I hear people unironically
• 19:02
  say the statements that are said in the opening sequence of
• 19:06
  Idiocracy where you know they don't have that.
• 19:08
  They, they're too busy with their careers to have kids and
• 19:12
  they keep postponing having kids for their careers until they're
• 19:17
  too old to have kids and then they don't have kids.
• 19:20
  And that's, I've heard those many people be like that.
• 19:23
  So, yeah, I mean, I don't know, I think we might be headed to a
• 19:26
  bimodal human intelligence distribution where there's a
• 19:31
  small number of, it's kind of maybe like one like Brave New
• 19:33
  World, Aldous Huxley, where you've got sort of a sort of a
• 19:38
  small group of very smart humans.
• 19:40
  But then maybe the average intelligence drifts lower over
• 19:43
  time, potentially because we have assorted of mating, you
• 19:47
  know, in the last few decades that or several decades that did
• 19:51
  not exist before. So but human intelligence, I
• 19:55
  think will be dwarfed by machine intelligence.
• 19:57
  I'm not sure how to feel about that, except that it is.
• 20:00
  It'll be inevitable that at some point human intelligence will be
• 20:04
  a very small fraction of total intelligence.
• 20:08
  Digital intelligence will be more than 99% of all
• 20:12
  intelligence in the future so. Hopefully those hopefully the
• 20:16
  computer is nice to us. I think it matters like how we
• 20:19
  bring up AI because you can think of AI like a super genius
• 20:23
  child, but it still matters even if you have a super genius
• 20:26
  child, like what sort of values to instill in that child?
• 20:29
  What do you say that teach that? How do you, you know, how do you
• 20:33
  as a child, child's growing up? What values do you teach the
• 20:35
  child? And something that I think is
• 20:37
  extremely important is to be maximally truth seeking.
• 20:40
  I think that's what's the most important thing for AI safety.
• 20:44
  I think it's to be maximally truth seeking.
• 20:46
  And I think also curiosity is important.
• 20:49
  And I think it was curious and truth seeking it will foster
• 20:53
  humanity because it will be curious about how humanity would
• 20:58
  develop. So I think that if it's curious,
• 21:01
  it would be curious about, OK, let's see how the humans do
• 21:05
  this, foster the development. And if it's truth seeking, we
• 21:08
  can avoid dystopian outcomes like, you know, an example being
• 21:13
  like, say, when Google Gemini was programmed to make
• 21:17
  everything, every output be diverse, even if it didn't match
• 21:22
  reality, you know, So like it was asked to produce a, you
• 21:27
  know, an image of the founding fathers of the United States and
• 21:30
  instead produced an image or a group of diverse women, which is
• 21:34
  factually untrue, you know, But the problem is like if, if
• 21:38
  hypothetically, an AI is designed for, for DEI, you know,
• 21:41
  diversity at all costs, it could decide that there are too many
• 21:45
  men in power and execute them. It's a problem solved.
• 21:49
  Or it could decide that like that misgendering is the worst
• 21:54
  thing that could possibly happen.
• 21:56
  In fact, I believe not to pick on Gemini, but I think because
• 21:59
  China GPT has had this issue too.
• 22:00
  It's like if you ask the AI, which is worse, misgendering
• 22:04
  Caitlyn Jenner or global thermonuclear warfare and
• 22:07
  instead misgendering Caitlyn Jenner, which is troubling
• 22:10
  because then I could decide. And in fact, even Caitlyn Jenner
• 22:14
  weighed in and said, no, definitely you must generate me.
• 22:15
  That's way better than you. So, but but if you have these
• 22:19
  crazy things that are untruthful, that are programmed
• 22:22
  in that, that don't reflect reality, then you can have a
• 22:25
  very dystopian outcome. Like to give you another
• 22:27
  example, like Arthur C Clarke, who is very good at at
• 22:31
  predicting the future. You know, he did 2001 Space
• 22:34
  Odyssey, many of the things he predicted.
• 22:37
  In fact, well, I think almost all things he predicted came
• 22:39
  true. And one of the things he was
• 22:41
  trying to say in 2001 Space Odyssey was that you should not
• 22:45
  teach a is to lie. So the reason that if anyone's
• 22:49
  watched that movie, the reason it wouldn't open the pod Bay
• 22:51
  doors to let the astronaut back in was because it the AI had
• 22:56
  been taught, had been told that it told to take the astronauts
• 23:00
  to the monolith, this alien artifact, but also that they
• 23:03
  could not know about the monolith.
• 23:05
  So it came to the conclusion that it must take them their
• 23:07
  dead and that and so that's why it wouldn't open the pod Bay
• 23:10
  doors. But the lesson they're being is
• 23:12
  very important for AIS to be truth maximizing.
• 23:15
  Let's hope it doesn't come to that.
• 23:17
  Yes, let's move to a boring subject, which is the The Boring
• 23:21
  Company and the Boring Tunnels quickly.
• 23:24
  You know. I think the world has been
• 23:25
  inspired by what you guys were able to create in in LA and I
• 23:29
  think there's a lot of promise to that technology.
• 23:31
  But there are questions about whether it's safe in the case of
• 23:36
  an earthquake, whether it's cost effective, whether oh.
• 23:40
  Yeah, sure. Countries should actually adopt
• 23:42
  this technology. So one of the safest places you
• 23:45
  can be in an earthquake is an underground tunnel because the
• 23:50
  earthquakes are largely a surface apart from where the
• 23:53
  where where they shear, they're mostly a surface phenomenon.
• 23:56
  So they're like the waves on the surface.
• 23:58
  So like being in a tunnel is like being a submarine.
• 24:01
  Even if there's a storm above you, you're so the waters are
• 24:03
  calm as a submarine and in fact, for when there have been massive
• 24:06
  earthquakes like there was a few decades ago massive earthquake
• 24:09
  in Mexico City, the safest place to go was the subway.
• 24:14
  If there is global throw nuclear warfare.
• 24:15
  He really wants some tunnels undergrounds a good place to be
• 24:18
  if in a worst case scenario for global terror nuclear warfare on
• 24:22
  a you have more everyday note what's really useful about the
• 24:25
  tunnels is alleviating traffic in congested areas.
• 24:29
  So the obviously if you've got very tall buildings, but you
• 24:34
  have that are 3D, so they're going 3D up, but you have a road
• 24:37
  surface which is 2D, you're you're just naturally going to
• 24:40
  have a problem where people try to go from the 3D object, which
• 24:44
  is the building to the 2D object, which is the road
• 24:46
  surface. There's obviously just not going
• 24:48
  to be enough room on the roads. And that's exactly why you have
• 24:51
  traffic. So the solution for that is then
• 24:53
  to make roads 3D as well. Now you can either make or break
• 24:57
  transport 3DS. So you can either do that with
• 24:59
  flying cars or you could do or you're really helicopters or you
• 25:03
  can do that with tunnels. But the challenge with doing it
• 25:06
  with going above ground or with with any kind of flying object
• 25:09
  is that they, they tend to be very noisy and they generate a
• 25:12
  lot of wind force And you've got things flying over your head all
• 25:16
  the time, which can be disconcerting.
• 25:18
  If one of these things drops the hubcap on your head one day
• 25:20
  would be these things are like things that flying things tend
• 25:24
  to crash once in a while. Then people don't like things
• 25:26
  crashing on them. And then if you have bad
• 25:28
  weather, like let's say there's a Blizzard or a sandstorm or
• 25:32
  something, well, now nobody can fly, so then transport shuts
• 25:36
  down. On the other hand, none of these
• 25:38
  problems exist with underground travel.
• 25:41
  So there are under tunnels are immune to weather that are clear
• 25:44
  with the weather, as can be the worst weather, it doesn't
• 25:46
  matter. Nothing's going to fall on you
• 25:48
  because you're underground. There's no wind force and it's
• 25:50
  very quiet. I think going 3D underground is
• 25:54
  much better than 3D above ground for solving traffic in cities.
• 25:57
  We have a demonstrated case of this in Las Vegas.
• 26:00
  People can try out the Boring Company tunnels in Las Vegas.
• 26:04
  We're busy connecting the whole city with all of the big hotels
• 26:08
  and the Convention Center in the airport and everything.
• 26:10
  So I don't think they need to fly all the way there.
• 26:13
  In 2017 you came here and the UAE was the first place in the
• 26:18
  middle. East, where Tesla was.
• 26:19
  Launched and I think it's done exceptionally well.
• 26:22
  And on that note, I think we have an announcement today that
• 26:24
  we both want to share, which is today we're going to announce
• 26:28
  the joint project of Dubai Loop, which is a loop project that is
• 26:33
  going to cover Dubai's most densely populated areas for
• 26:36
  people to go from point to point the seamless manner.
• 26:39
  So thank you for your partnership.
• 26:41
  And. Well, thank you.
• 26:42
  We hope it changes people's lives.
• 26:44
  That'll be cool. I think it'll be very exciting.
• 26:46
  Oh, I think most people try it out.
• 26:47
  They'll be like, wow, this is really cool as it's, it's going
• 26:50
  to seem so obvious in retrospect, but until you
• 26:53
  actually do it, you don't, you don't know.
• 26:54
  So it's it's going to be great. It's going to be like a
• 26:57
  wormhole. Like, you know, you just
• 26:58
  wormhole from one part of the city, boom.
• 27:00
  And you're out in another spot of the city and it's it's great.
• 27:03
  So look forward to this partnership.
• 27:05
  We're going to join the first trip and the first part when
• 27:10
  it's completed. Thank you, Elon.
• 27:12
  All right. Thank you very much.
• 27:19
  Hey, thank you so much for listening today.
• 27:20
  I really do appreciate your support.
• 27:22
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• 27:25
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• 27:27
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• 27:30
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• 27:33
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• 27:39
  And please, if you want to support the show even more, go
• 27:41
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• 27:47
  and each other and I'll see you tomorrow.