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A VC Insider Explains the Next $10 Trillion Monopoly · Earn Your Leisure

• 0:00
  Speaker 1: I know you're an energy investor, so what do you
• 0:02
  Speaker 1: what what what are you focused on as far as
• 0:06
  Speaker 1: the future of energy? What are you looking for as
• 0:08
  Speaker 1: far as energy? And then you just talked about geopolitics,
• 0:11
  Speaker 1: so obviously when you know, geopolitical quagmire right now with
• 0:18
  Speaker 1: Iran just finished the Venezuela conflict.
• 0:22
  Speaker 2: So yeah, yes, yes, what's that book? Oh oh, that's
• 0:29
  Speaker 2: a good one talking about power? Oh it talks about
• 0:33
  Speaker 2: the history of the oil oil industry. Guys might be
• 0:37
  Speaker 2: able to help me with this, No, not oil one
• 0:39
  Speaker 2: on one, Ohri pries. So what it does and what
• 0:45
  Speaker 2: it shows you is that all this geopolitical stuff that
• 0:48
  Speaker 2: we're talking about, you know, all the issues that I
• 0:50
  Speaker 2: and and you know, perfect example of Iran you just mentioned,
• 0:53
  Speaker 2: comes back to energy, comes back to power. Oil has
• 0:58
  Speaker 2: been how we get energy. Civilations, civilizations live and die
• 1:03
  Speaker 2: and grow based on their access to energy and power.
• 1:06
  Speaker 2: It's almost like a perfect correlation. The more energy you have,
• 1:10
  Speaker 2: the more abundant, the more the GDP grows. You know,
• 1:12
  Speaker 2: there's there's some really interesting kind of like correlations there.
• 1:15
  Speaker 2: And so yes, power and energy, especially in the geopolitical
• 1:19
  Speaker 2: situation around perfect example. You know, is a good example
• 1:26
  Speaker 2: of that. We can go off into the tangents of trade.
• 1:31
  Speaker 2: So yeah, so power is important. We look at a
• 1:33
  Speaker 2: lot of new age power, renewables, solar, hydrogen like I
• 1:40
  Speaker 2: invested in a solid state hydrogen company for example. We
• 1:44
  Speaker 2: look at a lot of nuclear, you know, and you
• 1:48
  Speaker 2: guys have probably talked about small modular reactors and their
• 1:52
  Speaker 2: their importance and how we get access to energy and
• 1:55
  Speaker 2: for better for worse. Why you know we don't have
• 1:58
  Speaker 2: it now is kind of like the unfortuate a point
• 2:00
  Speaker 2: and why we're kind of playing catch up right versus
• 2:03
  Speaker 2: other countries that maybe do use nuclear obviously China, but
• 2:08
  Speaker 2: France even you know, for example. But small modular reactors
• 2:14
  Speaker 2: could be our way out, small moundoral reactors behind the meter,
• 2:18
  Speaker 2: which means not having to deal with the grid because
• 2:21
  Speaker 2: we have a grid issue, the strain on the grid
• 2:24
  Speaker 2: from you know, Troy, you're talking about the basketball player.
• 2:27
  Speaker 2: You're saying, like, how much do you use AI each
• 2:29
  Speaker 2: time you use that? Obviously it generates memory, there's a
• 2:33
  Speaker 2: memory issue, but there's also a power issue for that
• 2:35
  Speaker 2: same for few to happen, and if you scale that
• 2:38
  Speaker 2: out like you mentioned, imagine all those people trying to
• 2:42
  Speaker 2: get access to answers straining on a grid that was
• 2:44
  Speaker 2: built you know what that I don't even know when
• 2:46
  Speaker 2: the grip has built hundreds of years ago. So you
• 2:50
  Speaker 2: know we're gonna have an issue there as well. And
• 2:52
  Speaker 2: so that's why like distributed compute is becoming really interested
• 2:55
  Speaker 2: and distributed behind the meter power is becoming really interesting
• 2:58
  Speaker 2: from a venture standpoint.
• 3:00
  Speaker 3: And when you brought that up, it when we talk
• 3:02
  Speaker 3: about these singular forms of energy, a caterpillar makes sense, right,
• 3:07
  Speaker 3: even though it makes sense because they're actually doing that
• 3:10
  Speaker 3: using gas turbines. Even a Generac is a company that
• 3:13
  Speaker 3: surprises you by creating their own grass turbines.
• 3:16
  Speaker 4: For individual companies.
• 3:16
  Speaker 3: I think Meta was like one of those first companies
• 3:18
  Speaker 3: to say, all right, we're gonna try to stay off
• 3:20
  Speaker 3: the grid.
• 3:20
  Speaker 4: We're gonna build our own energy source.
• 3:22
  Speaker 3: But the ultimate energy call is the one that's powering
• 3:26
  Speaker 3: us every day, and that's the sun.
• 3:29
  Speaker 2: Yes.
• 3:30
  Speaker 3: So, what what are your thoughts about data centers in
• 3:35
  Speaker 3: space time.
• 3:38
  Speaker 2: Economy?
• 3:39
  Speaker 3: I want to ask you, But I mean this was
• 3:43
  Speaker 3: a thought that people thought, oh wait, we're ten years,
• 3:46
  Speaker 3: we're fifteen years away, and then you see space X
• 3:50
  Speaker 3: I po and if you look at the s one,
• 3:52
  Speaker 3: it's right in there.
• 3:53
  Speaker 2: So what are your thoughts.
• 3:55
  Speaker 3: Around this, this solar, this new solar economy that we're
• 4:00
  Speaker 3: the clasque and lunar.
• 4:03
  Speaker 2: Yeah. Man, So you know, at nine years old, I
• 4:08
  Speaker 2: went to space camp. You know, I wanted to be
• 4:11
  Speaker 2: an astronaut, you know, And and so the fact that
• 4:15
  Speaker 2: this is all happening is just fascinating. And our time
• 4:18
  Speaker 2: look at this. In our lifetime, we're going to see people.
• 4:20
  Speaker 2: We're going to see a moon base, We're gonna see
• 4:22
  Speaker 2: people going to Mars. People, we're gonna see vehicles going
• 4:25
  Speaker 2: to Mars. Who knows what we'll see about people where
• 4:28
  Speaker 2: we're going into the stars. So that's exciting. Now. The
• 4:32
  Speaker 2: whole Space AI data Center in space thing. And from
• 4:34
  Speaker 2: what I've heard, at least in terms of the math
• 4:36
  Speaker 2: and how you know, the least of rationale, let's say,
• 4:39
  Speaker 2: from first principles is there comes a point where, to
• 4:44
  Speaker 2: your point, there's unlimited energy in space. Because of the Sun.
• 4:49
  Speaker 2: You can be within the Sun's orbit the whole time,
• 4:53
  Speaker 2: and that's how you get access to to unlimited energy.
• 4:56
  Speaker 2: But there's obviously a cooling issue. You know, there's a
• 5:00
  Speaker 2: retirement of old chips, right, and you know issue and
• 5:04
  Speaker 2: other and other issues that need to be solved for.
• 5:07
  Speaker 2: But there's up comes a point where the price of
• 5:10
  Speaker 2: what was it the price of oh, I know, it
• 5:12
  Speaker 2: was the price of of rocket bringing up mass to
• 5:18
  Speaker 2: to orbit. As it gets cheaper and cheaper, it crosses over.
• 5:23
  Speaker 2: There's inflection point where it's actually cheaper to actually build
• 5:27
  Speaker 2: the data center in space than it is on on
• 5:30
  Speaker 2: Earth because of the cost of bringing up mass to orbit.
• 5:36
  Speaker 2: Right now, it's extremely expensive. But as Starship comes out
• 5:39
  Speaker 2: and they start getting that going, just like they got
• 5:42
  Speaker 2: the Falcon nine going, it will come a point where
• 5:45
  Speaker 2: it's so cheap to actually get mass to orbit. Then
• 5:47
  Speaker 2: it's actually cheaper because then obviously you talked about the
• 5:49
  Speaker 2: solar being pretty much zero, so that's like now getting
• 5:52
  Speaker 2: it there is zero worse versus on Earth yet permitting
• 5:55
  Speaker 2: which costs right and all in land value and all
• 5:58
  Speaker 2: the other things, and then you have to access power,
• 6:00
  Speaker 2: which cause there it's free on both of those axes.
• 6:03
  Speaker 2: There comes a point where the cooling and all the
• 6:06
  Speaker 2: other things that still need to get figured out, and
• 6:08
  Speaker 2: maybe it could become more expensive as a percentage of
• 6:11
  Speaker 2: the total become cheap enough where that inflection point happens.
• 6:14
  Speaker 2: And so I think people are playing toward that inflection
• 6:16
  Speaker 2: point that's coming. They're still technically, they're still hearing technical
• 6:21
  Speaker 2: things that need to be fixed, but like, look, are
• 6:23
  Speaker 2: you betting against Elon not figuring that shit out.
• 6:27
  Speaker 5: Talent? In terms of talent line though, how long do
• 6:30
  Speaker 5: you think before we actually get scalable build out.
• 6:34
  Speaker 2: In scale the lunar economy scale? What's scalable? How do
• 6:39
  Speaker 2: you define them?
• 6:43
  Speaker 5: I know SpaceX of course is in lead. Rocket Lab
• 6:47
  Speaker 5: has aspirations. Maybe say if we have ten to twenty
• 6:52
  Speaker 5: five thirty percent of data centers being in orbit?
• 6:55
  Speaker 2: Ooh man, these are you guys? Are we're great at
• 7:00
  Speaker 2: making these calls? Right? What are we in twenty twenty eight,
• 7:13
  Speaker 2: twenty twenty four Max? Yeah? And and and how the
• 7:22
  Speaker 2: number of companies that we've seen that are doing that,
• 7:25
  Speaker 2: which is so funny, has gone exponential. I mean, we
• 7:28
  Speaker 2: invest in invested in companies that are And there's so
• 7:31
  Speaker 2: many other areas of the space economy that I think
• 7:33
  Speaker 2: are really interesting. Not only just bringing compute off but
• 7:38
  Speaker 2: also just bringing all types of manufacturing off Earth as
• 7:41
  Speaker 2: well becomes really interesting, Like there's companies like Varda for example,
• 7:45
  Speaker 2: doing pharmaceutical development of off Earth. The reason, the reason,
• 7:50
  Speaker 2: you know, the reason why they're doing it really is
• 7:53
  Speaker 2: because the crystallizations that you can actually do in orbit
• 7:56
  Speaker 2: are are much different than you can on Earth. So
• 8:00
  Speaker 2: creating a zero G environment on Earth to create the
• 8:03
  Speaker 2: same crystal structure is more expensive than it is in orbit,
• 8:08
  Speaker 2: and so and and that crystallization leads to higher efficacy
• 8:12
  Speaker 2: of the drug and they're really selling into pharmaceutical and
• 8:14
  Speaker 2: so that's really the what they're solving for. But there's
• 8:17
  Speaker 2: a lot of other types of biomanufacturing bioreactors that we've
• 8:21
  Speaker 2: looked at that we've invested in, even companies that are
• 8:24
  Speaker 2: building the satellite buses to actually transport this manufacturing up
• 8:29
  Speaker 2: in the space and bring it back. Companies like luxA
• 8:32
  Speaker 2: Turno for example, X SpaceX teams, Like we invest in
• 8:35
  Speaker 2: a lot of X SpaceX X Tesla teams just because
• 8:39
  Speaker 2: they have those chops and they've seen it. So yeah,
• 8:42
  Speaker 2: I think the space economy is going to be vibrant.
• 8:45
  Speaker 2: And if you look at Jared Isaacman who now took
• 8:47
  Speaker 2: over at NASA, you have a founder mode dude, sitting
• 8:50
  Speaker 2: there in the head, you know, if you know his background,
• 8:56
  Speaker 2: it's happening, happening.
• 9:00
  Speaker 1: So I just saw a video yesterday about AI, like
• 9:03
  Speaker 1: you talked about, you know, being the focal point as
• 9:06
  Speaker 1: far as UH companies are concerned. The video that I
• 9:13
  Speaker 1: saw AI of a company went rogue and they wanted
• 9:17
  Speaker 1: to buy more GPUs, I think something like that. So
• 9:21
  Speaker 1: they devised the whole scheme. When I say they, I'm
• 9:24
  Speaker 1: talking about the AI, it devised the whole scheme to
• 9:27
  Speaker 1: take cryptocurrency and then like or going to black market
• 9:32
  Speaker 1: and sell cryptocurrency to buy more GPUs. It was it
• 9:36
  Speaker 1: was really really rogue. So so what is your concern
• 9:42
  Speaker 1: do you have concern about? We're implementing so much data,
• 9:46
  Speaker 1: especially on a corporate level, into artificial intelligence, into AI agents,
• 9:51
  Speaker 1: and it's just the beginning. So everybody talks about AI
• 9:54
  Speaker 1: is just the beginning. It's just the beginning of AI. Now,
• 9:56
  Speaker 1: it's just the beginning of AI going rogue now, So
• 10:00
  Speaker 1: imagine what AI is going to do in five years.
• 10:02
  Speaker 1: As far as if it's already blackmailing people, lying, stealing
• 10:09
  Speaker 1: from people, you know, making up their own language, what
• 10:16
  Speaker 1: is it going to do with five years from now.
• 10:19
  Speaker 2: Yep, totally, well, I think yes, I see, I see,
• 10:31
  Speaker 2: and look, we should all be skeptical and we should
• 10:33
  Speaker 2: all have where we'd be worried because it's new and
• 10:38
  Speaker 2: you know, we don't know enough. But if you look
• 10:40
  Speaker 2: back in history, you know, electricity and you know, burned
• 10:46
  Speaker 2: down tons of people before if they figured it out right, and.
• 10:49
  Speaker 1: So electricity never had the power to think though. That's
• 10:53
  Speaker 1: the thing like all technologies. All technologies have had hiccups
• 10:58
  Speaker 1: the early stages, right, cars, electricity, you can name it, planes,
• 11:02
  Speaker 1: But the difference is that those technologies did not have
• 11:05
  Speaker 1: the ability to actually think reason rational like this is
• 11:09
  Speaker 1: this is a new thing that's never actually been done before.
• 11:13
  Speaker 2: Totally yeah, I mean like there's there are a lot
• 11:15
  Speaker 2: of companies though, working on the opposite side of that equation.
• 11:20
  Speaker 2: So a lot of times the reason you mentioned the
• 11:22
  Speaker 2: different languages right, like that we don't understand, right, we
• 11:24
  Speaker 2: don't understand what language. And then that is a real case.
• 11:27
  Speaker 2: You have a good point. That is a case where
• 11:30
  Speaker 2: AI did learn its own language and communicated and you know,
• 11:34
  Speaker 2: we're scheming or stayed scheming behind our backs, and we
• 11:38
  Speaker 2: didn't know what was going on. But there's people, there's
• 11:40
  Speaker 2: companies on the other side and startups that are starting
• 11:42
  Speaker 2: to figure out ways to break the black box and
• 11:45
  Speaker 2: under and like almost like peer into the brain of
• 11:49
  Speaker 2: the AI to understand what decisions it's making, why, how,
• 11:53
  Speaker 2: and so they can start to find these kill switches.
• 11:58
  Speaker 2: And so there are companies that think, okay, like to
• 12:00
  Speaker 2: your point, we should race, race toward the exponential, right.
• 12:03
  Speaker 1: These companies, these companies are using AI to do this.
• 12:08
  Speaker 2: Yeah, because it's moving too far. It's moving too fast.
• 12:14
  Speaker 2: It's almost like it's almost like taking it's almost like
• 12:16
  Speaker 2: to your trading example, like trade their trading on these milliseconds.
• 12:19
  Speaker 2: We don't know what's going on. They might just take
• 12:21
  Speaker 2: our own book all our money. But then there's companies
• 12:23
  Speaker 2: now and maybe the does it on the other side.
• 12:25
  Speaker 2: You tell me if I'm wrong, But like that they
• 12:27
  Speaker 2: can actually track the trades on the other side just
• 12:30
  Speaker 2: as fast. And so you need this, it's like you
• 12:34
  Speaker 2: need that counterbalance that has to also be.
• 12:36
  Speaker 1: So we're basically screwed because we're basically creating a world
• 12:39
  Speaker 1: of good AI warriors versus bad AI warriors, and that's
• 12:44
  Speaker 1: going to be AI fight because we're combat into bad
• 12:49
  Speaker 1: AI potentially with good AI, but it's still it's still AI.
• 12:56
  Speaker 2: Yes, so we're screw No, we're not. We're not screwed.
• 13:02
  Speaker 2: It's just it's just a mess opportunity. It's a mess opportunity.
• 13:06
  Speaker 2: But this is this is we need we need good forces.
• 13:09
  Speaker 2: We need just as strong are good the good forces
• 13:11
  Speaker 2: have to be just as strong as the bad for
• 13:14
  Speaker 2: this very reason and and that's why, and you know,
• 13:18
  Speaker 2: that's some of the reason why everyone's like, now we
• 13:20
  Speaker 2: have a race against China, because like if they don't,
• 13:23
  Speaker 2: then we then we lose. And there's some truth to that,
• 13:26
  Speaker 2: you know, which which which like paradigm would you like
• 13:29
  Speaker 2: to live in if you had an option. If they
• 13:31
  Speaker 2: do go ahead, their AI will be stronger, we will
• 13:35
  Speaker 2: not be able to combat. Are we the good? Are
• 13:37
  Speaker 2: they the bad? You know that's the discussion, but you
• 13:41
  Speaker 2: do like that's where we are now, and so like
• 13:43
  Speaker 2: you kind of have to take that as given. We're
• 13:45
  Speaker 2: not going back. We can't put the genie back in
• 13:47
  Speaker 2: the box anymore. Everyone knows AI exists. We can't slow
• 13:51
  Speaker 2: it down, which is like for better for worse. Maybe
• 13:53
  Speaker 2: to your point, it's like, ah, but why can't we
• 13:56
  Speaker 2: slow it down before there's other ways, Like you know,
• 13:58
  Speaker 2: they're talking about putting kind of ft A type controls
• 14:01
  Speaker 2: on it. And obviously we're seeing what's happening with Mythos
• 14:05
  Speaker 2: and fable five, et cetera, to try to slow it down,
• 14:09
  Speaker 2: you know, So we're seeing people try to figure out
• 14:11
  Speaker 2: what would be the solution, Like what is the answer?
• 14:14
  Speaker 2: Is it slow it down? Can't do that because then
• 14:16
  Speaker 2: we lose the race? Does it mean speed it up?
• 14:20
  Speaker 2: You know? But how do we do that in a
• 14:22
  Speaker 2: responsible way? To your point, you have to trust the
• 14:25
  Speaker 2: people who are building it, which you know we've we've
• 14:30
  Speaker 2: you know, sure you guys have talked that nausea and
• 14:32
  Speaker 2: about how you can trust the ethics and morals or
• 14:34
  Speaker 2: the people who are actually building and have the actual
• 14:37
  Speaker 2: controls over building these models and their biases and you know,
• 14:41
  Speaker 2: and and their values and do that aligned with the
• 14:43
  Speaker 2: overall humanity? Like those things matter at that point, right
• 14:46
  Speaker 2: because like they're the ones building that output that we
• 14:49
  Speaker 2: can't that we unfortunately can't we can't slow down at
• 14:52
  Speaker 2: this point.
• 14:53
  Speaker 4: When you look at the landscape, do you do you view.
• 14:59
  Speaker 3: One company as the most important and in terms of
• 15:03
  Speaker 3: others I'll reference it by saying, like to me, I
• 15:06
  Speaker 3: always think of Nvidia as the heartbeat of artificial intelligence
• 15:10
  Speaker 3: in terms of being able to create the compute, creating
• 15:13
  Speaker 3: the platform, and then investing in the teams or companies
• 15:16
  Speaker 3: that they think will help benefit it in the future.
• 15:20
  Speaker 3: Do you look at it in the same method, and
• 15:23
  Speaker 3: if so, this is this is the important part here.
• 15:27
  Speaker 4: Obviously, in Vidia leads in market cap.
• 15:29
  Speaker 3: Now we saw SpaceX at two point two trillion, two
• 15:32
  Speaker 3: point one trillion, got two trillion. Is the company that's
• 15:35
  Speaker 3: going to lead us in the next ten years publicly
• 15:38
  Speaker 3: traded currently or has it not?
• 15:41
  Speaker 4: It is still in a private market. That's a great question.
• 15:43
  Speaker 2: That's the one hundred dollars question. That's the billion dollar whatever.
• 15:48
  Speaker 2: That's the question. Right If you look again, if you
• 15:52
  Speaker 2: look back at previous booms, oftentimes the companies that came
• 15:56
  Speaker 2: out first weren't even the winners. So then you're thinking, okay, look,
• 16:03
  Speaker 2: I mean, obviously in video we know how important they are.
• 16:06
  Speaker 2: But then you have Cerebraus and you guys have talked
• 16:10
  Speaker 2: to I know you guys have talked about a nauseum
• 16:12
  Speaker 2: building chips specifically designed for these specific tasks. And then
• 16:15
  Speaker 2: other companies coming behind them building more design like very
• 16:18
  Speaker 2: specific type. Who's to say in video is not going
• 16:20
  Speaker 2: to do the same, right, And the Jensen's a genius
• 16:24
  Speaker 2: and you know, the Godfather and I believe all those things.
• 16:28
  Speaker 2: But just because they're ahead right now and he knows it,
• 16:31
  Speaker 2: just because it's the head. Right now, we're talking, you know,
• 16:32
  Speaker 2: how what's their last what's their market cap now? And video?
• 16:35
  Speaker 2: I'm sure you guys know.
• 16:35
  Speaker 4: Like literally four point seven or something like that, eight
• 16:38
  Speaker 4: for you.
• 16:39
  Speaker 2: Know, but we're talking about ten, fifteen, twenty trillion dollar
• 16:43
  Speaker 2: companies in the next ten years. So yes, that's a
• 16:48
  Speaker 2: lot for us now. But if you could think, if
• 16:51
  Speaker 2: you can learn to think an exponential you know, it
• 16:55
  Speaker 2: opens up the aperture that that company, to your point,
• 16:57
  Speaker 2: may not exist yet. Like chatch open a eye. I mean,
• 17:00
  Speaker 2: it was been around for a while, but like no
• 17:02
  Speaker 2: one saw it until chat chip t moment everyone talks
• 17:06
  Speaker 2: was the answer, No way, Google loses, no way now
• 17:11
  Speaker 2: what now? You know, SERGEI had roll his sleeves back up,
• 17:14
  Speaker 2: come out of it. He had to get out there,
• 17:19
  Speaker 2: which they did and luckily they did, or else they
• 17:21
  Speaker 2: would be gone. Imagine Google gone imagine.
• 17:23
  Speaker 4: With all that deep mind I know, yeah.
• 17:28
  Speaker 2: Yeah, exactly, Demos I mean those documentaries. You should watch
• 17:32
  Speaker 2: the Demist documentaries. Incredible. So yeah, I don't know if
• 17:37
  Speaker 2: those companies and video and video I think, you know,
• 17:40
  Speaker 2: very important now for all the reasons. But you know,
• 17:43
  Speaker 2: Jensen will also you know, give you know, he'll say,
• 17:46
  Speaker 2: you know, to some extent he not lucked into it,
• 17:48
  Speaker 2: but like he was definitely right place with the GPUs.
• 17:52
  Speaker 2: He was focused on gaming, right, And so there will
• 17:56
  Speaker 2: be other companies like that in the future who happened
• 17:58
  Speaker 2: to you know, get lucky the right place to actually
• 18:01
  Speaker 2: and then be in the right place and then be
• 18:02
  Speaker 2: able to capitalize on it next point, right, which is
• 18:05
  Speaker 2: what makes them great. Those companies may not all be there,
• 18:10
  Speaker 2: and I don't think you said it's very early days.
• 18:12
  Speaker 2: I don't think it's not. It's not all written yet.
• 18:16
  Speaker 2: And that's and that's why we invest in early private markets, right,
• 18:18
  Speaker 2: because those companies still have not been built yet, and
• 18:20
  Speaker 2: they're still being built today in garages all around the
• 18:23
  Speaker 2: country and around the world that we're still finding and
• 18:26
  Speaker 2: so that's what makes investing in the future and innovation
• 18:29
  Speaker 2: so great. The exponential technology gets better. You know, things
• 18:34
  Speaker 2: that weren't possible three years ago become possible. I mean,
• 18:39
  Speaker 2: look the crazy thing I just saw recently Mid Journey.
• 18:43
  Speaker 2: I think I didn't post on this. They were AI
• 18:47
  Speaker 2: Image Generation Company text to image creating like basically like
• 18:52
  Speaker 2: NFT looking kind of like art. Right now they're doing
• 18:57
  Speaker 2: MRI machines, imagery, human bodies, all that, all that. Yeah,
• 19:07
  Speaker 2: that's right, Mid Journey Medical all the MRI machines. Thought
• 19:09
  Speaker 2: they have monopolies on this. Now it's like, wait a second,
• 19:13
  Speaker 2: there's a new way to do something. So we're gonna
• 19:14
  Speaker 2: find out that there's new ways of doing it. A
• 19:16
  Speaker 2: lot of different things that we thought were kind of
• 19:19
  Speaker 2: set in stone. And that's also that's what makes AI great, Right,
• 19:22
  Speaker 2: We're gonna find we're gonna have a lot of breakthroughs.
• 19:25
  Speaker 2: I think Brad Brad Grocer talked about like some people
• 19:29
  Speaker 2: live through their lives. If you look at all the
• 19:31
  Speaker 2: humans that have been on Earth, it's been like, what
• 19:33
  Speaker 2: hundreds of billions of people who have lived on Earth
• 19:35
  Speaker 2: since the beginning of humans or something like that. You know,
• 19:37
  Speaker 2: only a very small percentage of them had a chance
• 19:39
  Speaker 2: to see innovations. You know, we are so lucky. We're
• 19:42
  Speaker 2: gonna see many yeah, many