Speaker 1: Chairman of Stagwell here with Linda Yakarino and an assembled
Speaker 1: group of about twenty five cmos of major corporations here
Speaker 1: at Cees during the CEES to really see the latest
Speaker 1: in technology. And we're graced with Elon Musk who has
Speaker 1: contented to give us some of his time to answer
Speaker 1: some of these really burning questions about technology's going to
Speaker 1: develop and change our lives, and some of his interactions
Speaker 1: with the government may also change.
Speaker 2: Our lives as well.
Speaker 1: Yeah, and so if I might start off with kind
Speaker 1: of a big overall question and I'll do some questions
Speaker 1: and then we'll get some questions in from the group.
Speaker 1: You know, I have to say that I've been actually
Speaker 1: a Tesla owner for many years.
Speaker 3: Thank you.
Speaker 4: Clearly you're clearly someone of a great taste.
Speaker 1: Well, I will say that I drove from Miami to
Speaker 1: Fort Laurida Vale to meet my brother for dinner, about forty.
Speaker 2: Miles and I did not touch I touched the wheel.
Speaker 2: But let me tell you that the test.
Speaker 3: The Chaudrove itself is what you're saying, and you do
Speaker 3: not need to intervene.
Speaker 2: It did not need me for this entire ride.
Speaker 4: Yeah, it's pretty magical. It's like like when you tell
Speaker 4: people that they have not experienced it, they don't believe you.
Speaker 1: You know, yeah, yes, And I didn't believe me either
Speaker 1: because I've been a skeptic about how far it would go.
Speaker 1: And your latest releases of software are you know, really incredible,
Speaker 1: So thank you for people to try them. As a
Speaker 1: big question, and in that thing coming in the next decade,
Speaker 1: what do you think is going to be the greatest
Speaker 1: advances in technology that will affect people's lives? What should
Speaker 1: they be affecting to see here from technology in their lives?
Speaker 4: Okay, well, I don't want to blow your minds, but
Speaker 4: AI is going to be big. I feel confident for
Speaker 4: that prediction. But you know, the funny thing is, if
Speaker 4: you go back even five years ago, certainly ten years ago,
Speaker 4: if ten years ago, even fifteen years ago, I was saying,
Speaker 4: is can be like this massive thing that has deep
Speaker 4: super intelligence, smarter than the smartest human People thought I
Speaker 4: was kidding, and I thought that that's ridiculous. There's no
Speaker 4: way computer's going to be smarter than a human. I'd
Speaker 4: be able to do all these complicated things.
Speaker 2: And now.
Speaker 4: You know the it's it's the latest AIS are able
Speaker 4: to pass complicated tests better than most humans. Like they
Speaker 4: can pass the medical tests better than than like eighty
Speaker 4: percent of doctors or something. Know they can AI can
Speaker 4: diagnose radiography better than most people who have been doing
Speaker 4: it their whole life. So that that's that's just accelerating obviously,
Speaker 4: I think probably if you haven't seen Jensen's talk, it's
Speaker 4: it's excellent and it really shows how much AI is advancing,
Speaker 4: and it's advancing on the.
Speaker 3: Hardware fronts on the software front.
Speaker 4: In terms of data, this is like the new sort
Speaker 4: of thing is synthetic data because we've actually run out
Speaker 4: of all the books and literally run out of you
Speaker 4: take the entire Internet and all books ever written, and
Speaker 4: all interesting videos, like like you don't need a thousand
Speaker 4: cat videos that are exactly the same, but all the
Speaker 4: interesting videos and and you sort of just strole that
Speaker 4: down into tokens essentially bits of information, and you've we've
Speaker 4: now exhausted all of the but basically that the cumulative
Speaker 4: some of human knowledge has been.
Speaker 3: Exhausted in AI training.
Speaker 4: That happened basically last last year, and so the only
Speaker 4: way to then supplement that is with synthetic data, where
Speaker 4: the AI creates, it'll sort of write an essay or
Speaker 4: we'll come up with the thesis, and then and then
Speaker 4: and then it will grade itself and and and and
Speaker 4: sort of go through this process of self learning with
Speaker 4: synthetic data, which is which is always challenging because how
Speaker 4: do you know it? How do you know if hallucinated
Speaker 4: the answer or it's a real answer. So it's challenging
Speaker 4: to find the ground truth. But but it is pretty
Speaker 4: well that AI at this point has run out of
Speaker 4: all human knowledge to train on.
Speaker 3: Crazy.
Speaker 1: I know that you're building for for the largest AI
Speaker 1: center on the planet we already have. Yeah, it's an
Speaker 1: operation Microsoft.
Speaker 2: Is planning eighty billion dollars or I used to work.
Speaker 3: For But there's a lot of money by anyone's standards.
Speaker 1: Really, you know, I mean, you know, I did a
Speaker 1: poll and we asked, there's AI making a difference in
Speaker 1: your life today? Thirteen percent said yes, and they said
Speaker 1: in five years from now, will AI make a difference
Speaker 1: in your life? Eighty seven percent expect in five years
Speaker 1: who will make a difference?
Speaker 3: What is a gigantic difference?
Speaker 2: Okay, what is it going to do for people?
Speaker 3: Is it going to be anything?
Speaker 4: You want to work right A I will do anything
Speaker 4: you want and even suggest things you never even thought of.
Speaker 4: So I mean, I really within the next few years
Speaker 4: will be able to do any cognitive task like it
Speaker 4: obviously begs the question what are we all going to do?
Speaker 4: You know, but pretty much any cognitive task that doesn't
Speaker 4: involve atoms AI will be able to do within i'd
Speaker 4: say max. Three or four years maximum. And then now
Speaker 4: then the another elements of it is the robotics is
Speaker 4: that you need, so you can't just be thinking. I
Speaker 4: can't just be thinking in it's in in a data center.
Speaker 4: It's going to do things. That's where you need the robots.
Speaker 4: So and you need you know, self driving cars, which
Speaker 4: obviously you've experienced, and and and that that rate of
Speaker 4: improvement is exponential in how good the self driving cars are.
Speaker 4: You know, we feel confident in passing the basically being
Speaker 4: better than human driving in about three months basically the
Speaker 4: Q two of this year. We feel confident of passing
Speaker 4: having a probability of accident that is better than the
Speaker 4: average experienced driver.
Speaker 3: And then and then it'll keep going from there.
Speaker 4: Ultimately, I think it's going to be ten times safer
Speaker 4: than a human driver and then one hundred times safer,
Speaker 4: like it's to.
Speaker 3: The point where really it just won't crash.
Speaker 4: Yeah. So and that's so, and that's happening this year
Speaker 4: with with Tesla. So Tesla and and and this is
Speaker 4: a software update to you know, our cars. So as
Speaker 4: you experienced yourself, it's the same car, it's got a
Speaker 4: software update, and suddenly it's way smarter at driving.
Speaker 1: Well, let me let me try a few timelines then,
Speaker 1: because you know, look, I'm not the youngest guy around,
Speaker 1: so I want to.
Speaker 2: Technology stand up for what he is young.
Speaker 3: Uh get older every year as I get older.
Speaker 1: I used to build computers and kids right when when
Speaker 1: you couldn't buy them yet, And I don't have to
Speaker 1: do that anymore. And so self driving some timeline self
Speaker 1: driving cars, certified government certified self drive you think will
Speaker 1: be within a year.
Speaker 4: Well, I mean there already are autonomous you know, in
Speaker 4: small in some regions, like Wemo has autonomous vehicles with
Speaker 4: no one in it, but they're limited to like if
Speaker 4: you sait Is in the U s that the Tesla solution,
Speaker 4: which is a much more difficult path to go but
Speaker 4: ultimately much more.
Speaker 3: Powerful, is a general solution to self driving.
Speaker 4: So the Tesla software is just purely AI and vision
Speaker 4: doesn't rely on any expensive sensor's, no light oars, no radars.
Speaker 3: Or or it doesn't require it doesn't even require knowing
Speaker 3: the area beforehand. Like you could put.
Speaker 4: You could have a drive someplace has never been before
Speaker 4: and no tests has ever been before. It couldn't be
Speaker 4: an alien planet, I mean it and the call will
Speaker 4: still work, still drive, so and and.
Speaker 3: So that's that's that's this year, you know, And when
Speaker 3: can I get a home robot?
Speaker 2: Okay?
Speaker 3: Right?
Speaker 4: H Well, so that's that's the other element is our
Speaker 4: humanoid humanoid robots. So I think probably most people, if
Speaker 4: not everyone, would like to have their own personal C
Speaker 4: three p O R T D two And I think
Speaker 4: I actually think humanoid robust will be the biggest product
Speaker 4: ever in history by far.
Speaker 2: I agree.
Speaker 3: Yeah, it's just it's as wild.
Speaker 4: But because you can just say, well every human is
Speaker 4: going to want one most likely, and someone want to
Speaker 4: and then they'll be all of the industry in terms
Speaker 4: of making providing products and services. So that you have, say,
Speaker 4: what's the ratio of humanoid robots to humans? My guess
Speaker 4: is it's least at least three to one, four to one,
Speaker 4: maybe five to one. So we're talking about twenty thirty
Speaker 4: billion humanoid robots, and you know, the it's it's not
Speaker 4: even clear what money means at that point, or if
Speaker 4: there's any meaningful cap on the economy.
Speaker 3: I think at that point, assuming that things haven't.
Speaker 4: Gone awry, you know, in the in the good AI scenario,
Speaker 4: I think we will have we won't have universal basic income,
Speaker 4: we'll have universal high income.
Speaker 2: So do you think five years for my first robot, or.
Speaker 4: Well for for Tesla where you know, Optimus robot really
Speaker 4: is it's and then somebody's got something secret we don't
Speaker 4: know about. The Optimus robot is the most sophisticated human
Speaker 4: robot in the world. It's got a hand that has
Speaker 4: twenty two degrees of freedom. It looks and feels like
Speaker 4: a human hand. And you know, we're aiming to have
Speaker 4: several thousand of those built this year. Initially we'll we'll
Speaker 4: test them out at Tesla factories, but then assuming things
Speaker 4: go well, we will will ten x that that output
Speaker 4: next year. So we'll aim to do maybe fifty to
Speaker 4: one hundred thousand humorid robots next year and then ten
Speaker 4: x at again the following year. It's like five hundred
Speaker 4: thousand robots in three years.
Speaker 3: That's a lot.
Speaker 4: Yeah, So I guess, well, maybe we should think of
Speaker 4: this in terms of Roman legions. How many legions of
Speaker 4: robot so we have, Like a Roman legion.
Speaker 3: Is five thousand.
Speaker 2: When will we have a colony on Mars?
Speaker 4: Well, I think we'll be able to send the first
Speaker 4: uncrewed spacecraft to Mars in two years. So Earth and
Speaker 4: Mars synchronize every two years, and so we're at a
Speaker 4: synchronous point right now, So then the next one will
Speaker 4: be roughly two years from now, and then there'll be
Speaker 4: two years from then there w another one. So for
Speaker 4: the first trip, obviously we want to make sure that
Speaker 4: we can land starship without crashing, Like we need to
Speaker 4: prove that we can land starship on Mars without incrementing
Speaker 4: the creator count. And if those land safely, then maybe
Speaker 4: on the next trip we would send people and then
Speaker 4: hopefully that would grow exponentially.
Speaker 3: So eventually there will be thousands of starships going to Mars.
Speaker 3: And I might have this like really cool visual like Battlesaw.
Speaker 4: Glack toic Go or something, you know, the sort of
Speaker 4: colony ships departing altogether with these like bright points of
Speaker 4: light in space. I think it looked really cool, but
Speaker 4: I think the goal has to be to get to
Speaker 4: the point where Mars is self sustaining. So the point
Speaker 4: of which Mars is self sustaining, which is really defined
Speaker 4: as a point of which if the resupply ships Earth
Speaker 4: stopped coming for any reason, that Mars doesn't die out,
Speaker 4: that Mars can continue to grow. So if there's something
Speaker 4: that happens on Earth, like let's say there's World War
Speaker 4: II or some natural disaster or who knows what, but
Speaker 4: for whatever reason the resupply ships stopped coming, if Mars
Speaker 4: can still continue to survive, then.
Speaker 3: You know, then the probable lifespan of civilization is dramatically greater.
Speaker 4: So you know, if you sort of stand back and say,
Speaker 4: how would you evaluate any civilization, you'd say, like, well,
Speaker 4: it's that civilization still stuck on its own planet or
Speaker 4: a multiplanets civilization, And we don't want to be one
Speaker 4: of those lame one planet civilizations.
Speaker 3: Okay, we're to have a respectable outcome here.
Speaker 4: Even if we don't make it beyond our Solar system,
Speaker 4: were at least got to get to another planet.
Speaker 2: Yeah, well, and finally in my list brain to technology. Communication.
Speaker 1: Yeah, back to communication, am I am I going to
Speaker 1: see that also because right now this is looking pretty
Speaker 1: good for me.
Speaker 3: Yeah. So we've got neuralink.
Speaker 4: We've got now three patients with three three humans with
Speaker 4: neural links implanet and no working well. And we've upgraded
Speaker 4: devices that were the devices will have more more electrodes
Speaker 4: basically higher bandwidth, longer battery life and everything. And so
Speaker 4: we expect to you know, hopefully do twenty or thirty
Speaker 4: patients next year or this year, I should say, with
Speaker 4: the upgraded neuralink devices. And this our first product is
Speaker 4: we're trying to enable people who have lost their brain
Speaker 4: body connection so they're a tetroplegic or paraphlegic or uh
Speaker 4: basically like you can imagine like say Stephen Hawking. If
Speaker 4: Stephen Hawking could communicate as fast or even faster than
Speaker 4: a normal human, that would be transformational. Yeah, So that
Speaker 4: that's sort of our first product is being able to
Speaker 4: read the motor cortex of the brain and say that
Speaker 4: if you think about moving your hand, it will move
Speaker 4: the cursor on the screen. And it enables enables people
Speaker 4: to control their computer or their phone just by thinking.
Speaker 4: And then our next part will be blind sites that
Speaker 4: even if somebody has lost both eyes or has lost
Speaker 4: the optic nerve, or if they've never they've been blind
Speaker 4: from birth, we can interface directly with the visual cortex
Speaker 4: in the brain and enable them to see.
Speaker 3: And we already have that working in monkeys.
Speaker 4: I actually have a monkey who's now had that for
Speaker 4: I think two years, and so enabling sort of basically
Speaker 4: enabling people to control devices, and ultimately we think if
Speaker 4: you have a second neuralink device that is past the
Speaker 4: point where the spinal damage occurred, we can actually transmit
Speaker 4: the signals from the brain past the where essentially the
Speaker 4: wires is.
Speaker 3: Broken and enabled someone to walk again.
Speaker 4: So that that would really be profound obviously, but I'm
Speaker 4: confident that that is physically possible. And then the long
Speaker 4: term goalf in neural link is to be able to
Speaker 4: improve the bandwidth. So right right now when we're speaking,
Speaker 4: our bandwidth and po second is quite low, and the
Speaker 4: sustained bandwidth of a human is less than one but
Speaker 4: per second over twenty four hour period, So this eighty
Speaker 4: six four hundred seconds in a day, and the average
Speaker 4: human put outputs.
Speaker 3: Much less than eighty six four hundred bits today.
Speaker 4: If someone's a writer, they might all exceed that, but
Speaker 4: most people do not output more than the number of
Speaker 4: seconds in the day. And with a neural link, you
Speaker 4: could increase that output capably by a thousand or maybe
Speaker 4: a million, So it would be profoundly different experience that
Speaker 4: could be super human essentially.
Speaker 2: Well, put me down for all of this so far
Speaker 2: early as after.
Speaker 3: Yeah, and trust me, really you really like the chip,
Speaker 3: I can guarantee.
Speaker 2: It, And let's kind of bring us down to earth
Speaker 2: for a question on DOGE.
Speaker 1: Yeah, I mean I worked very closely actually with President
Speaker 1: Clinton in the nineties where we did have reinventing government.
Speaker 2: We did balance the budget in two years.
Speaker 3: Actually, that's awesome. Oh those were the days.
Speaker 1: Well, it didn't last very long because it's got blown
Speaker 1: up very quickly. Have you identified some cuts that you're
Speaker 1: really that you're really looking at, that you think will
Speaker 1: be successful. Do you think the two trillion is is
Speaker 1: a realistic number now that you're looking more closely at it.
Speaker 4: Yeah, Well, I think I think we'll try and for
Speaker 4: two trillion. I think that's like the best case outcome.
Speaker 4: But I do think that you kind of have to
Speaker 4: have some overage. I think if we try for two trillion,
Speaker 4: we've got a good shot at getting one. And if
Speaker 4: we can get drop the budget deficit from two trillion
Speaker 4: to one trillion and.
Speaker 3: Kind of free up the economy.
Speaker 4: To you know, have additional growth such that the output
Speaker 4: of goods and services it keeps pace with the increase
Speaker 4: in the money supply, then there will be no inflation.
Speaker 3: So that that I think would be an epic outcome.
Speaker 4: And in terms of saving money in the government, well,
Speaker 4: as you as you know, it's it's a it's a
Speaker 4: very target rich environment for saving money. Like if you
Speaker 4: if you look at any direction, it's like it was like,
Speaker 4: where will you find places to save money? I'm like,
Speaker 4: it's like being in a room full oft targets, Like
Speaker 4: you could close your eyes and you can't miss. So
Speaker 4: there's just a lot of waste in government because especially
Speaker 4: the federal government, you just got a situation where that
Speaker 4: the checks never bounce, like they've got like the infinite
Speaker 4: money computer and uh and and then the the people
Speaker 4: that spend the money are not the people. It's it's
Speaker 4: not their money, you know, it's it's it's very very
Speaker 4: hard for people to care about spending someone else's money.
Speaker 4: And and then even if you you know, actually I
Speaker 4: know people in the government who do care about on
Speaker 4: just as a matter of principles, spending money effectively, and
Speaker 4: they try to do so and they can't. The system
Speaker 4: prevents them from doing so. And then and they even
Speaker 4: get told to do crazy things as against probably sounds familiar,
Speaker 4: where you get towards the end of the budget cycle
Speaker 4: and and they're they're told to spend up to their
Speaker 4: budget and even on on nonsense stuff because if they
Speaker 4: don't spend their budget, the budget gets reduced. So it's
Speaker 4: actually sort of sort of a perverse incentive to waste money,
Speaker 4: and and and then they kind of get punished for
Speaker 4: not wasting money. So it's totally bananas.
Speaker 2: Well, well, I agree, you will find.
Speaker 1: You know, I did a mathematical analysis in terms of
Speaker 1: how government used to do things. So if you take
Speaker 1: the Brooklyn Bridge or the Lincoln Tunnel, and you yeah, inflation,
Speaker 1: the infrastructure bill should actually get you four thousand adjusted
Speaker 1: breakage Lincoln Tunnels, which, of course, of course it's not
Speaker 1: because government is right, does it used to be?
Speaker 4: No, exactly Essentially that we've got had an accumulation of
Speaker 4: laws and regulations that may basically any large project essentially
Speaker 4: illegal and uh and uh and and even if you've
Speaker 4: tried to do you've better satisfied. You better to spend
Speaker 4: way more money on the paperwork than on the thing itself.
Speaker 4: So and and then it gets gets laid and so
Speaker 4: this there's there's an element of like dose, which is
Speaker 4: very important, which is looking at regulations and and getting
Speaker 4: rid of ones that where the the the harm is
Speaker 4: worse than the good, like you say, like, well, any
Speaker 4: given regulations like okay, there's some.
Speaker 3: Amount of good, some amount of harm, but you know
Speaker 3: what's that ratio? Is it?
Speaker 4: Like you know, and there's a lot of regulations where
Speaker 4: frankly it just completely nonsensical. And we want to get
Speaker 4: rid of nonsensical regulations that do not serve the public good.
Speaker 1: Well, Linda Acarino and her keynote here mentioned the dose thing,
Speaker 1: and she got enormous applause.
Speaker 2: So I think the country is really waiting to see
Speaker 2: this effort. There. They're behind it, they're they're optimistic.
Speaker 1: Let me try to get in one more topic here
Speaker 1: before I get one or two other questions out there,
Speaker 1: which is obviously Mark Zuckerberg made an amazing one.
Speaker 2: An eighty degree term.
Speaker 3: Yeah cool.
Speaker 1: What's your reaction to what he did and his acknowledgment
Speaker 1: frankly that the government was in fact censoring things, or
Speaker 1: he was censoring things, or the government or some combination thereof.
Speaker 4: Yeah, I mean there's there's there's no question. I mean
Speaker 4: one percent the government was was censoring things. We know
Speaker 4: that for a fact from from the Twitter files. I
Speaker 4: mean some of the stuff was like, like pretty illegal, frankly.
Speaker 4: I mean, the FBI had this portal into Twitter where
Speaker 4: they could spy on anything and and censor anything and
Speaker 4: had a two week auto delete.
Speaker 3: So we don't even know what they did.
Speaker 4: Except that they had immense power to do whatever they wanted,
Speaker 4: which doesn't sound legal.
Speaker 3: And you know that sounds pretty pretty crazy.
Speaker 4: And you know, there's also a lot of self censoring,
Speaker 4: and I don't know, there was just a lot of
Speaker 4: censoring going on. And I think you I feel very
Speaker 4: strongly that the you have to have freedom of speech
Speaker 4: to have a functioning democracy. You know, if you don't
Speaker 4: have freedom of speech, freedom expression, then how do you
Speaker 4: know what's really going on? And and if you can't
Speaker 4: make an inform vote then you don't have you don't
Speaker 4: have a real democracy. So it's you know, just that's
Speaker 4: incredibly important too. I think listen to the wisdom of
Speaker 4: the founders of the country and say, why why did
Speaker 4: they make that the first amendment? You know, and and
Speaker 4: it's what they did it for a reason. It's because
Speaker 4: they came from places where, uh that where there was
Speaker 4: massive censorship and the penalties for speaking your mind would be,
Speaker 4: you know, find imprisonment or death. And they're like, we
Speaker 4: really don't like that. We want that to not be
Speaker 4: the case in America. So then they you know, freedom speech.
Speaker 2: So you've just posted you are the media citizen.
Speaker 1: Citizen journalism, I mean, really becoming more and more important
Speaker 1: in the States of media.
Speaker 2: And you see it with the with the wildfires here.
Speaker 3: Yeah, exactly.
Speaker 2: It really takes the citizens to report and tell people.
Speaker 4: Yes, yeah, actually, you think of it like before there
Speaker 4: was before the Internet, you kind of had to have
Speaker 4: the what I call legacy media, of which which is
Speaker 4: you have to have some aggregation points where you know
Speaker 4: that you know, have reporters going and go and find
Speaker 4: things out. Then they would come to they would go
Speaker 4: to to to their office, they would write up articles.
Speaker 4: They would then print those articles on paper. That paper
Speaker 4: would then be distributed and it was kind of the
Speaker 4: only it was the only way to know what was
Speaker 4: going on. But it was very slow, especially in the
Speaker 4: old days.
Speaker 2: You know.
Speaker 3: I think when.
Speaker 4: Like when when Lincoln Lincoln was assassinated, I think it
Speaker 4: took like three weeks for the that needs to reach
Speaker 4: Asio or something like that.
Speaker 2: You know.
Speaker 4: And in fact, in the old days, like you wouldn't
Speaker 4: even know that your country had gone to war because
Speaker 4: it would take like a month for the fact, hey
Speaker 4: where or to reach your village.
Speaker 1: We learned about Perrel Harbor because we decoded the Japanese.
Speaker 1: I didn't know that we decoded their their their cyber system, right,
Speaker 1: I mean, that's how we actually learned about about it. Yeah,
Speaker 1: and and you know we have just if I can
Speaker 1: squeeze in, I just got three minutes here.
Speaker 3: It's fine if you got a little longer if you want, Okay.
Speaker 2: Thank you.
Speaker 1: I uh so, just I got three questions in from
Speaker 1: the audience that Dan Gardner and Toby Daniels avon Discourse
Speaker 1: Head want to know do you think the Internet sucks?
Speaker 2: And what do you think we need to.
Speaker 4: I mean, the content on the Internet or your Internet connection,
Speaker 4: because that starlink can help you on the Internet connection.
Speaker 4: Starling is very for Internet connectivity, so you know, especially
Speaker 4: for like places that have bad connectivity impact. I think
Speaker 4: stollic Is is really having a significant effect in terms
Speaker 4: of lifting people out of poverty. In fact, in many
Speaker 4: parts of the world where people have a product that
Speaker 4: they want to sell but if they don't have an
Speaker 4: Internet connection, they can't do it, or if they want
Speaker 4: to learn things like basically you can learn anything on
Speaker 4: the Internet for free, like mi T has all these
Speaker 4: lectures that are available for free on the Internet, which
Speaker 4: you need an Internet interet connection. And so once you
Speaker 4: have an Internet connection, you've you've got access to education,
Speaker 4: you've got access to a golden market. So I think
Speaker 4: it's it's very significant how connectivity makes difference in people's lives,
Speaker 4: you know, with with respect to maybe a question was
Speaker 4: geared at like is there too much negativity on the Internet.
Speaker 3: The I think at times there is there is too
Speaker 3: much negativity, and.
Speaker 4: You know, actually on the X platform, I propose like, well,
Speaker 4: we were going to tweak the algorithm to be a
Speaker 4: bit more positive, and then people got to upset about
Speaker 4: me for that, I'm like.
Speaker 3: Like, okay, like what do you guys want? You know?
Speaker 1: Well, actually the second question from exact Moffitts or Target
Speaker 1: victory was how do you make pessimism uncool again? So
Speaker 1: I think it's maybe exactly what you're saying, which is that,
Speaker 1: you know, it's become people people are afraid. You know,
Speaker 1: this used to be a can do nation. Yeah, always
Speaker 1: very positive, and now now the country when I ask
Speaker 1: if we're on the right track or the wrong track,
Speaker 1: they never say that we're on the right track anymore.
Speaker 4: Okay, well, I hope hopefully, you know, hopefully with this.
Speaker 4: You know, I'm actually pretty optimistic about the next four
Speaker 4: or five years. I think we're actually gonna I think
Speaker 4: we have the potential for a golden age. So we
Speaker 4: need to It's very important to get rid of of
Speaker 4: of the mountain of regulations that are holding things back.
Speaker 4: And I don't mean there's there's some good regulations, but
Speaker 4: there's just so much that we just can't get anything done.
Speaker 3: I mean, you take sort of.
Speaker 4: The California wildfires for example. We really need to have
Speaker 4: fire breaks, and we need to clear the brush back
Speaker 4: away from houses and uh, and we need to make
Speaker 4: sure the reservoirs are full. These are all kind of
Speaker 4: obvious things. But but but due to a bunch of
Speaker 4: environmental rulings, you can't actually do that in California. So
Speaker 4: they're not allowed to do the five breaks, and they're
Speaker 4: not allowed to push the brush back away from houses
Speaker 4: because it might it might hurt some like red legged
Speaker 4: frog or something like that. You know, it's like some
Speaker 4: sort of creature that usually a creature you've never heard of,
Speaker 4: that is preventing this from occurring. You know, there's this
Speaker 4: is there's like this fish called the smelt, for example,
Speaker 4: and so there's so we have far more fresh water
Speaker 4: run off into the ocean than than we should really
Speaker 4: be on the theory that it helps this one little
Speaker 4: fish that likes a slightly briny freshwater sold water mix,
Speaker 4: and if if we if we, if we keep more
Speaker 4: fresh water than the smelled fish will will not be happy.
Speaker 4: But there's no actual evidence that that the smells fish
Speaker 4: is going to be unhappy if we if we keep
Speaker 4: a bit more fresh water.
Speaker 3: In fact, so we should we should.
Speaker 4: Keep more fresh water, keep the reservoirs full, and and
Speaker 4: and just have some sensible fire breaks and move the
Speaker 4: rush away from houses. That's just an example of like
Speaker 4: we've saved a lot of trouble and a lot of
Speaker 4: tragedy in l A if we've done that.
Speaker 3: So you know, and and yeah, I think.
Speaker 4: I think AI and robotics is going to lead to
Speaker 4: a higher standard of living for for people beyond what
Speaker 4: they can imagine. So AI doctors and medicine that are
Speaker 4: pretty incredible.
Speaker 2: So that's the fin the final question, she says from
Speaker 2: from uh.
Speaker 1: Catherine heritage heritage, I got there right, Uh, if if
Speaker 1: all the robots and everything freeze up time for humans,
Speaker 1: what is it they will do with that time? Or
Speaker 1: what can we ask them to do with that time?
Speaker 1: And I think that's it. Yes, grounds out the circle
Speaker 1: of technology.
Speaker 4: Yeah, I guess it would be a bit like being retired. Yeah,
Speaker 4: I mean this that does will take a few years,
Speaker 4: but at some point if this, if as AI gets
Speaker 4: as AI and roboties get better, eventually a I will
Speaker 4: be able to do everything that humans can do. So
Speaker 4: any task you do will be optional, like it'll be
Speaker 4: like a hobby or you know. So now it just
Speaker 4: big question like well, this will our lives lives have meaning?
Speaker 4: If the computers and the robots can do everything better
Speaker 4: than we can.
Speaker 2: And.
Speaker 3: That is that a real question.
Speaker 4: I do wonder about that myself myself, and that's maybe
Speaker 4: that's why we need the new link so we can
Speaker 4: enhance you in capability so we can keep up with.
Speaker 3: Yeah.
Speaker 1: Well, I just want to thank you for well, it's
Speaker 1: obviously incredibly optimistic view about technology and where it's going.
Speaker 1: I feel reassured that the kind of leaps that that
Speaker 1: are going to be made, particular what you're working on,
Speaker 1: are just incredible in the next few years, not not
Speaker 1: decades away, but right really very closely talked in terms
Speaker 1: of years consistently, and very thankful for that. And uh
Speaker 1: and I think that that's you know, absolutely tremendous message
Speaker 1: here at the you know, where we are in Las
Speaker 1: Vegas kind of studying what what technology is going to
Speaker 1: be available to people and UH and really again, thank
Speaker 1: you for the tremendous role in opening up free speech.
Speaker 2: Uh and for the role that that X and you know,
Speaker 2: Linda is playing in terms of that.
Speaker 1: I know that we're we're working to get full recognition
Speaker 1: by everyone of the of the platform as it should be,
Speaker 1: because free speech is is I think the proper the
Speaker 1: proper way to go.
Speaker 3: Yeah, I think it unbalanced is good.
Speaker 4: And you know, one of the things that create conceptually
Speaker 4: with the X platform is like it's like a global consciousness.
Speaker 4: It's like collective conscious consciousness of humanity. Now, if you
Speaker 4: have a collective consciousness of humanity, well you're going to
Speaker 4: get every aspect of humanity, good and bad. That's just
Speaker 4: naturally what happens. So but I, you know, I do
Speaker 4: want it to be a good and productive thing. And
Speaker 4: you know that aspiration is to maximize unregretted user minutes.
Speaker 4: So like you spend time on the platform, it's like, well,
Speaker 4: did you regret it.
Speaker 3: Or not regret it? And we want to maximize unregretted
Speaker 3: user time.
Speaker 1: Well, and I always go back, you know, I always
Speaker 1: say that everything in technology was either in the jet sense.
Speaker 2: Likely justice. You know, it's either in Star Trek or
Speaker 2: the Jetsons more or less right.
Speaker 1: But the one thing that was never predicted in any
Speaker 1: book that I could find is social media. So uh,
Speaker 1: it's the one thing that they really is no book
Speaker 1: built around how social media would develop, how it would
Speaker 1: really impact society, how we move political movements and so forth.
Speaker 1: And it's interesting that everybody missed that in their in
Speaker 1: their projections, and so I guess the last closest cause
Speaker 1: the question maybe.
Speaker 2: Is is what do you want X to be and
Speaker 2: where is that platform going to go?
Speaker 4: And I think that well, I mean, I do want
Speaker 4: XP force for good. That exactly, so I do want
Speaker 4: XP a force for good. And and I do view
Speaker 4: it as as sort of like the group mind humanity,
Speaker 4: and we want to have a sort of a healthy, happy,
Speaker 4: insane group mind versus the opposite. And I mean or yeah, so,
Speaker 4: and and I want it to be just like the
Speaker 4: best source of truth, like if you're trying to understand
Speaker 4: what's going on in the world, that it has the
Speaker 4: most most accurate, the most up to date information about
Speaker 4: anything large or small. So so it gives you the
Speaker 4: best understanding of what's going on in the world, you know, anywhere, anytime.
Speaker 1: Yeah, perfect, Thank you. Any any closing thought you want
Speaker 1: to leave us with other rise I've brother.
Speaker 2: Thank you for being so generous with your high they welcome.
Speaker 4: I think I would encourage people to be optimistic about
Speaker 4: the future. I think it is much more likely to
Speaker 4: be good than bad. So that's my prediction. Thank you,
Speaker 4: all right, Thanks guys,