Latest / Financial Survival Network / Next Crash: AI, Robots, or China? - Lobo Tiggre #6281

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Next Crash: AI, Robots, or China? - Lobo Tiggre #6281 · Financial Survival Network

• 0:00
  Speaker 1: You know, we can.
• 0:00
  Speaker 2: We'll gather about AI and the science fiction of the future.
• 0:04
  Speaker 2: But as an investor, I'm thinking about this. You know,
• 0:06
  Speaker 2: what are my takeaways? And I think, well, the technology
• 0:09
  Speaker 2: itself has certain demands and inputs and that's investable. But
• 0:12
  Speaker 2: on the other hand, you know, if you really do
• 0:14
  Speaker 2: have fleets and robot cars everywhere, does everybody need to
• 0:16
  Speaker 2: have a car? We could actually see this have a
• 0:19
  Speaker 2: negative impact on commodities.
• 0:20
  Speaker 3: You're listening to Carrie Letz's Financial Survival Network, where you
• 0:24
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• 0:29
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• 0:42
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• 0:48
  Speaker 4: And welcome you are listening to and watching the Financial
• 0:51
  Speaker 4: Survival Network.
• 0:52
  Speaker 1: I'm your host, Kerry Lutz.
• 0:54
  Speaker 4: Awhere, like two thirds the way through may Lovo t
• 0:57
  Speaker 4: Grade is with us now. And well, what's going on
• 1:03
  Speaker 4: out there? Well, this world has gone totally insane. Nobody
• 1:07
  Speaker 4: knows what's happening.
• 1:09
  Speaker 5: You would know that from the S and P five hundred.
• 1:11
  Speaker 6: Yeah, Well, somebody knows something, right, yeah, it's a it's
• 1:16
  Speaker 6: a it's a mad, sad world out there, and there
• 1:19
  Speaker 6: are many different directions we can take this conversation, but
• 1:22
  Speaker 6: I guess my intro remarks Carrie would be I.
• 1:25
  Speaker 2: Think Wall Street is delusional to be celebrating the de
• 1:29
  Speaker 2: escalation between the US and China. I mean, even if
• 1:35
  Speaker 2: it's true it's a de escalation, it's certainly not peace
• 1:38
  Speaker 2: in the trade war. And even you know, even if
• 1:42
  Speaker 2: they make some kind of deal, the outcome of that
• 1:47
  Speaker 2: is still going to be a more expensive, less efficient
• 1:50
  Speaker 2: trade arrangement that the bare minimum it's pretty clear Trump
• 1:54
  Speaker 2: is going after is ten percent around the world. So
• 1:59
  Speaker 2: there's there is going back to the way things were before,
• 2:02
  Speaker 2: and for equities to be priced as they were before,
• 2:07
  Speaker 2: in my view, makes no sense that I think this
• 2:11
  Speaker 2: has investment implications, even if you're not a mainstream investor,
• 2:14
  Speaker 2: because if the if the broader markets are making a
• 2:16
  Speaker 2: mistake right now, they're overly optimistic for how all this
• 2:19
  Speaker 2: stuff is going to work out. Uh, there will be
• 2:23
  Speaker 2: plenty more Trump shock to come. And I don't mean
• 2:25
  Speaker 2: that as an insult. You know, love him or hate him,
• 2:27
  Speaker 2: There's there's Trump shock to come and that has you know,
• 2:33
  Speaker 2: a lot of investment implications for us.
• 2:36
  Speaker 1: So so what about Doge here they're cutting.
• 2:40
  Speaker 5: And dropped out of the news cycle.
• 2:42
  Speaker 4: Yeah, which is a good thing because Elon Musk, at
• 2:46
  Speaker 4: least as far as the media is concerned, dropped off
• 2:52
  Speaker 4: off the charts because you know, he's getting too much
• 2:54
  Speaker 4: hate starting to affect his business and he's.
• 2:58
  Speaker 1: Got important things going on there.
• 2:59
  Speaker 4: I mean, we got full self driving taxis, robocaves slated
• 3:04
  Speaker 4: to hit the streets in the twelve days Lobo, now
• 3:08
  Speaker 4: if there's a game.
• 3:10
  Speaker 2: I was just writing about this and I got some
• 3:11
  Speaker 2: pushback on Twitter. You know, a lot of people are like, oh,
• 3:14
  Speaker 2: they'll never be safe. I'll never be comfortable with a
• 3:16
  Speaker 2: robot driving my car and all that. I was driven
• 3:19
  Speaker 2: to the airport in Frankfurt a couple of days ago,
• 3:22
  Speaker 2: and it was a test the model, why I think,
• 3:25
  Speaker 2: And it had on the screen like this graphical representation
• 3:29
  Speaker 2: of the neighborhood. Yeah, and the trucks and the cars
• 3:32
  Speaker 2: would appear the road, you know, you expect that, but
• 3:34
  Speaker 2: the people on the sidewalk would appear, and he could
• 3:36
  Speaker 2: tell when somebody was on a bike and it would
• 3:39
  Speaker 2: you know, it would appear on the screen as a cyclist.
• 3:41
  Speaker 1: I never I had not seen this before. But two
• 3:44
  Speaker 1: things like.
• 3:45
  Speaker 2: It saw everything, yes, and it saw it before I did.
• 3:50
  Speaker 2: Like I'd see on the screen as a person and
• 3:51
  Speaker 2: I'd go, oh, yeah, there it is. So it is
• 3:56
  Speaker 2: really quite impressive and this is happening the UK. It
• 4:00
  Speaker 2: was also in the news that they are saying, well,
• 4:02
  Speaker 2: we're going to delay the uber robot taxis until twenty
• 4:06
  Speaker 2: twenty seven. What we're saying, we can do it today,
• 4:09
  Speaker 2: but well this is coming and I know some people
• 4:13
  Speaker 2: hate it, but you know what, the robot is never
• 4:15
  Speaker 2: going to get drunk, It's never going to get tired,
• 4:18
  Speaker 2: it's never going to you know, get distracted chatting on
• 4:21
  Speaker 2: the phone with his girlfriend or.
• 4:22
  Speaker 1: Something, texting, texting.
• 4:26
  Speaker 2: So I think this will man the road's safer and
• 4:29
  Speaker 2: I'm and by the way it does.
• 4:30
  Speaker 5: It doesn't even have to be an electric car. You know,
• 4:33
  Speaker 5: if you hate see electric cars, that's not the point.
• 4:36
  Speaker 4: It actually does have to be an electric card. Not
• 4:39
  Speaker 4: because of technology. It's just that electric is more responsive
• 4:47
  Speaker 4: than ice.
• 4:48
  Speaker 1: Is a fact.
• 4:49
  Speaker 4: Direct drive motors you don't have transmissions, not in the
• 4:52
  Speaker 4: way that cars do. It doesn't shift gears and you
• 4:57
  Speaker 4: have the regenitor breaking, which makes it much safer.
• 5:01
  Speaker 5: But okay, so it makes sense.
• 5:04
  Speaker 2: But yeah, my point was simply, I don't think people
• 5:07
  Speaker 2: should hate the robot taxis just because they hate electric cars.
• 5:10
  Speaker 1: Yeah. Well, what I can tell you is this.
• 5:13
  Speaker 4: I've been driving a Tesla for three and a half years.
• 5:16
  Speaker 4: I have the FSD. There are most instances it drives
• 5:20
  Speaker 4: better than me. It has eight cameras, so you have
• 5:23
  Speaker 4: three sixty vision, and its response times are immediate. You know,
• 5:28
  Speaker 4: no matter how good your reflexes are as a human being,
• 5:31
  Speaker 4: you've got a gap between sensory perception and stimulus right
• 5:37
  Speaker 4: in action. And it eliminates that. I've actually you had people,
• 5:44
  Speaker 4: you know, I've actually had people run in front of
• 5:47
  Speaker 4: my car pitch black road, middle of the night on
• 5:51
  Speaker 4: a bicycle. I didn't even see it. The car hit
• 5:54
  Speaker 4: the brakes. I thought it was phantom breaking. It saw
• 5:57
  Speaker 4: the guy before he crossed the Road's and this.
• 6:01
  Speaker 5: Is direct personal experience. This is a here say you
• 6:03
  Speaker 5: had this happen to you, This happened to me.
• 6:06
  Speaker 1: That's impressive.
• 6:07
  Speaker 2: And so here's here's the you know, we can we
• 6:10
  Speaker 2: can We'll gather about AI and the science fiction of
• 6:13
  Speaker 2: the future. But as an investor, I'm thinking about this,
• 6:15
  Speaker 2: you know, what are my takeaways? And I think, well,
• 6:17
  Speaker 2: the technology itself has certain demands and inputs, and that's investable.
• 6:21
  Speaker 2: But on the other hand, you know, if you really
• 6:23
  Speaker 2: do have fleets of robot cars everywhere, does everybody need
• 6:26
  Speaker 2: to have a car? We could actually see this have
• 6:28
  Speaker 2: a negative impact on commodities because I mean, honestly, my
• 6:33
  Speaker 2: car at home, I drive it once every two weeks
• 6:35
  Speaker 2: or something. You know, the grocery stores around the corner ry,
• 6:38
  Speaker 2: I don't drive it that much. And if you've got,
• 6:42
  Speaker 2: you know, this ubiquous fleet of robotaxes, they're all there, Like,
• 6:46
  Speaker 2: do you really need to have a car if you
• 6:48
  Speaker 2: can snap your fingers and one shows up as quickly? Right,
• 6:52
  Speaker 2: So I'm thinking about this. Okay, this isn't going to
• 6:54
  Speaker 2: change the markets overnight, but farther ahead, I could see it.
• 6:58
  Speaker 2: You know where the automotive demand not just for battery
• 7:02
  Speaker 2: metals but for steel and everything actually goes way down.
• 7:06
  Speaker 4: Oh, there's no question, because your car, unless you drive
• 7:11
  Speaker 4: it for work during work, is basically dormant ninety percent
• 7:15
  Speaker 4: of the time. Even if you drive it for work,
• 7:18
  Speaker 4: it's still going to be dormant sixty percent of the time, right, So.
• 7:23
  Speaker 1: Basically what it does is.
• 7:28
  Speaker 4: Commodifies ride shares effectively, assuming it can do everything. And
• 7:34
  Speaker 4: the one thing people don't understand you need to get
• 7:37
  Speaker 4: is it doesn't have to drive perfectly. It only has
• 7:41
  Speaker 4: to drive better than a human. It's already at that
• 7:44
  Speaker 4: point where it's in ninety nine percent.
• 7:47
  Speaker 2: This was the thing, This was the very thing that
• 7:49
  Speaker 2: came up on my Twitter feed, the pushback I was getting, Oh,
• 7:52
  Speaker 2: it's it's still not safe. Ninety seven percent isn't good enough.
• 7:55
  Speaker 2: It's not one hundred percent. And I'm thinking, yeah, but
• 7:58
  Speaker 2: humans aren't one hundred percent.
• 8:00
  Speaker 1: And okay, right.
• 8:01
  Speaker 2: Now, I think you know, people are afraid. It's a
• 8:04
  Speaker 2: new technology, you know, and okay, I get it. It'll
• 8:08
  Speaker 2: take a while for people to get convinced.
• 8:10
  Speaker 5: But at some point this.
• 8:11
  Speaker 1: Should be an empirical question.
• 8:12
  Speaker 2: It shouldn't be about how I feel or you feel,
• 8:14
  Speaker 2: or what we think or what we like.
• 8:16
  Speaker 5: It'll be about the math.
• 8:18
  Speaker 2: You know, who has a better safety record? You know,
• 8:21
  Speaker 2: how many people per year to the robotaxis killed per
• 8:25
  Speaker 2: per thousand units or whatever, and how many people do
• 8:27
  Speaker 2: humans kill it, and that's the end of the debate.
• 8:30
  Speaker 4: That's it analytics, it's just data. And you know, the
• 8:35
  Speaker 4: cool thing is that it's already better in Florida than
• 8:40
  Speaker 4: ninety five percent of the people driving on I ninety
• 8:43
  Speaker 4: five at any given moment.
• 8:45
  Speaker 1: It's already better. It's already And.
• 8:47
  Speaker 2: Hey, you know what, And even if you know I
• 8:49
  Speaker 2: like driving, I I I don't want to have a
• 8:53
  Speaker 2: man if I own one of these things, or even
• 8:55
  Speaker 2: if I get in one of these things, I want
• 8:56
  Speaker 2: there to be a steering wheel in case I need
• 8:58
  Speaker 2: to take over for some reason or you know, the
• 9:02
  Speaker 2: chip gets fried. I would want to be able to
• 9:05
  Speaker 2: control the car, and I actually enjoy driving. I would
• 9:09
  Speaker 2: like there to be parties in the future where you
• 9:11
  Speaker 2: can rent a car if you're go driving, you know,
• 9:14
  Speaker 2: around on empty highways by yourself or something. But meanwhile,
• 9:18
  Speaker 2: if the robot is better than me doing it, I
• 9:21
  Speaker 2: can get work done, right, or I can watch, or
• 9:23
  Speaker 2: I can have you know, a text message like rohabby
• 9:26
  Speaker 2: or whatever important thing you know, I.
• 9:27
  Speaker 5: Can do instead of just staring at the road, right,
• 9:30
  Speaker 5: you know, why not delegate that.
• 9:33
  Speaker 4: You know it gives you, like when you try to
• 9:35
  Speaker 4: text and drive, which you can do with the thing.
• 9:39
  Speaker 4: That's how much I trust it. You can text and drive,
• 9:42
  Speaker 4: especially on a highway because on the highway it's really
• 9:45
  Speaker 4: in its element. But when you do it, it gives
• 9:49
  Speaker 4: you a nag and then if you keep doing it,
• 9:51
  Speaker 4: it kicks you off the FSD for the reportable trip.
• 9:55
  Speaker 4: So it's a nanny car too. But really, at this point,
• 9:59
  Speaker 4: there's no reason you be.
• 10:00
  Speaker 1: Able to text and drive. It's that good, LOWO, It's
• 10:03
  Speaker 1: that good.
• 10:04
  Speaker 4: And imagine the effect it's going to have on the
• 10:07
  Speaker 4: country because the largest job job description in the United
• 10:12
  Speaker 4: States is driver, every form of driver that you can
• 10:15
  Speaker 4: think of, truck drivers, taxis uber. It's over ten million people,
• 10:21
  Speaker 4: and those people for the most part going to be
• 10:24
  Speaker 4: out of a job eventually.
• 10:28
  Speaker 2: If we want to, we'll gather on that. This is
• 10:31
  Speaker 2: something I've been thinking. You know, I'm a hardcore libertarian.
• 10:34
  Speaker 2: I believe in I don't believe in subsidies and freebies,
• 10:38
  Speaker 2: and I'm opposed to welfare, you know, the moral hazard,
• 10:42
  Speaker 2: all that stuff.
• 10:43
  Speaker 1: I believe all that.
• 10:44
  Speaker 2: But in a world, particularly during the transition, when the
• 10:48
  Speaker 2: robots take over so much of the work and the
• 10:51
  Speaker 2: AIS take over the intellectual work.
• 10:55
  Speaker 5: I'm just not.
• 10:56
  Speaker 2: I mean, what is everybody going to do? Not everybody
• 10:59
  Speaker 2: can become a post overnight, right, And where I'm going
• 11:02
  Speaker 2: with this is I can actually as eat an argument
• 11:06
  Speaker 2: or for UBI at least during the transition. And you know,
• 11:10
  Speaker 2: my mind recoils it the idea.
• 11:12
  Speaker 1: I hate it. I don't.
• 11:13
  Speaker 5: I don't believe in freebies and giveaways.
• 11:15
  Speaker 1: You know that's you know.
• 11:16
  Speaker 2: Everything about me wants to say bad, bad, bad bad bad.
• 11:19
  Speaker 1: But if like half the jobs.
• 11:22
  Speaker 2: In the world go away over the next fifteen years,
• 11:27
  Speaker 2: I mean, you know, what are they going to do?
• 11:29
  Speaker 2: Weep baskets and how many tourists can you sell a
• 11:32
  Speaker 2: basket to?
• 11:32
  Speaker 1: Right?
• 11:33
  Speaker 5: Of course I don't know the answer to this.
• 11:37
  Speaker 4: I don't either, but I do know that not everybody
• 11:41
  Speaker 4: can be a podcaster, right.
• 11:45
  Speaker 5: Well, see I've seen that creator, right, I.
• 11:51
  Speaker 2: Have seen who was It wasn't John Stossel.
• 11:54
  Speaker 1: It was somebody like that.
• 11:57
  Speaker 2: You know, did one of these demos where there was
• 11:58
  Speaker 2: an artificial person of them doing the intro of the show.
• 12:03
  Speaker 2: You have to tell it wasn't real, but it's still
• 12:07
  Speaker 2: pretty damn good.
• 12:08
  Speaker 1: It's good enough, right, Yeah.
• 12:12
  Speaker 2: So for my own selfish interests. I've been looking at
• 12:17
  Speaker 2: this and I've been thinking, Okay, as long as AIS hallucinate,
• 12:21
  Speaker 2: I think my job is safe because what people me
• 12:24
  Speaker 2: to do is I'm a due diligence guy. Like people
• 12:27
  Speaker 2: pay me money because they trust me. Yeah, and it
• 12:30
  Speaker 2: I mean, I get everything right. I'm not one hundred
• 12:32
  Speaker 2: percent you know, I'm human, right, but they trust me
• 12:35
  Speaker 2: that I'm not for sale for some company that you know,
• 12:38
  Speaker 2: people can't recommend something that's crap, right, and they pay
• 12:42
  Speaker 2: me to actually care and to try hard. And why
• 12:45
  Speaker 2: bootleathered actually go look at the rocks in the ground
• 12:48
  Speaker 2: and try to tell if the story is true or not.
• 12:50
  Speaker 2: So as long as AIS hallucinate, and as long as
• 12:54
  Speaker 2: AIS can't, you know, put on boots and do what
• 12:56
  Speaker 2: I do, I feel pretty.
• 12:57
  Speaker 5: Safe in my job.
• 12:59
  Speaker 2: But you look at the robot, it's the Chinese are building,
• 13:01
  Speaker 2: and you know Tesla as well and so on.
• 13:04
  Speaker 1: You know they are going to.
• 13:05
  Speaker 2: Be able to apply boot leather pretty soon. So I
• 13:09
  Speaker 2: don't know, I'm hanging my hat right now in the trust.
• 13:14
  Speaker 2: I don't know how much people are going to trust AIS.
• 13:18
  Speaker 4: For now, for now, for now, but eventually we'll have
• 13:22
  Speaker 4: to trust them because they're going to do stuff better
• 13:25
  Speaker 4: than us, better than you can, and you know what
• 13:30
  Speaker 4: choice do you have?
• 13:32
  Speaker 2: Well, but let's say let's say you're a Biden Harris fan,
• 13:40
  Speaker 2: and the facts are that Biden was seen now during
• 13:46
  Speaker 2: the last part of his presidency.
• 13:47
  Speaker 1: Sure, I don't remember.
• 13:50
  Speaker 2: Let's say, let's say these are the facts, but you
• 13:53
  Speaker 2: don't want to believe these facts. And the preponderance of
• 13:56
  Speaker 2: the data is there such that an objective AIS says,
• 14:00
  Speaker 2: you know what Biden was seen now during the last
• 14:02
  Speaker 2: few years of his presidency, of not the whole thing.
• 14:06
  Speaker 2: You're not going to trust that AI, and it doesn't
• 14:08
  Speaker 2: matter what data it presents you. It's you don't want
• 14:11
  Speaker 2: to believe it, so you're not going to And not
• 14:14
  Speaker 2: to pick sides, you could say the same thing on
• 14:16
  Speaker 2: the other side, Yeah right, you know, so, I just
• 14:20
  Speaker 2: I think we're a long way from a world at which.
• 14:24
  Speaker 5: The AIS are are so credible that.
• 14:28
  Speaker 2: People will just believe them like a god, right, you know,
• 14:31
  Speaker 2: are we creating a digital god that we trust and
• 14:34
  Speaker 2: everybody trusts? So absolutely, I just don't see that happening
• 14:38
  Speaker 2: anytime soon. It runs contrary to my observation of human nature.
• 14:44
  Speaker 1: Yeah, I know. I know.
• 14:46
  Speaker 4: Well, it's a brave new world, as they say, right,
• 14:50
  Speaker 4: and you know you got to get with it or
• 14:53
  Speaker 4: you're going to get overwhelmed by it.
• 14:55
  Speaker 1: I use it. In fact, I did.
• 14:58
  Speaker 4: One of the first AI related related layoffs in the world.
• 15:04
  Speaker 4: I was paying somebody to do my show notes. She
• 15:07
  Speaker 4: was really great, loved her. She wasn't that fast, not
• 15:11
  Speaker 4: as fast as I wanted to be. And when they
• 15:15
  Speaker 4: started transcripting AI. You know what AI transcription? I said,
• 15:21
  Speaker 4: what do I need to pay her for? And it
• 15:23
  Speaker 4: does it instantly. I don't have to wait for turnaround.
• 15:27
  Speaker 4: So I'm really sorry you got to go. I used
• 15:33
  Speaker 4: the chat GPT to write a recommendation letter and saving
• 15:38
  Speaker 4: money now and it's getting done a lot faster.
• 15:41
  Speaker 2: You know.
• 15:42
  Speaker 4: I got to do a little work as far as editing,
• 15:45
  Speaker 4: because sometimes it just uses trite phrases, it just uses
• 15:50
  Speaker 4: things that aren't right. But over time it's getting better
• 15:53
  Speaker 4: and better, Lobo, it's getting.
• 15:59
  Speaker 2: I hear you that I've gone from telling my team
• 16:02
  Speaker 2: when I think it was chit GPT three when it
• 16:05
  Speaker 2: first came out. Excuse me, I don't flog it myself,
• 16:08
  Speaker 2: but I've gone from telling my team I would fire
• 16:11
  Speaker 2: anybody who used this crap because it was so bad
• 16:14
  Speaker 2: and you know, so hallucinatory to Now I have somebody
• 16:17
  Speaker 2: on the team, you know, dedicated to seeing how we
• 16:20
  Speaker 2: can integrate the technology and use the research tools more
• 16:23
  Speaker 2: than just even on the simple basis. And please don't
• 16:26
  Speaker 2: worry to your audience. I still check everything. Yeah there's
• 16:30
  Speaker 2: still a human in the loop. But you know, my
• 16:32
  Speaker 2: take is still my take. Everything comes through you know
• 16:36
  Speaker 2: this brain. I get one together, but it's a mixed
• 16:40
  Speaker 2: If we want background on you know, some country I
• 16:45
  Speaker 2: haven't been to, not a lot of those, but you know, uh.
• 16:49
  Speaker 1: Uganda.
• 16:50
  Speaker 2: I've never been to Uganda, and they claim to have
• 16:52
  Speaker 2: found ninety three trillion dollars worth of gold. So if
• 16:55
  Speaker 2: I want to research Uganda, I can ask a bot
• 16:59
  Speaker 2: and it can produce a better summary than the CIA
• 17:01
  Speaker 2: factbook in seconds, right, and a human couldn't do that.
• 17:06
  Speaker 2: And we still need to check it. So I can't
• 17:08
  Speaker 2: just say well, I have all this stuff and now
• 17:10
  Speaker 2: you know, oh you got to check. But just that
• 17:13
  Speaker 2: one task of pulling together the information for me to
• 17:16
  Speaker 2: check so that I can read it and look into
• 17:18
  Speaker 2: what makes sense and what I need to follow up
• 17:20
  Speaker 2: on that would have been you know, some intern or
• 17:24
  Speaker 2: analyst weeks or a month to pull together and now
• 17:27
  Speaker 2: it's fifteen seconds.
• 17:28
  Speaker 4: Yeah, instantaneous and company research. Like you said, it's not
• 17:33
  Speaker 4: always up to date and it's not always pertinent, so
• 17:37
  Speaker 4: you can't just blindly follow it. But once you have
• 17:40
  Speaker 4: that info, you know there's a lot you can do
• 17:43
  Speaker 4: with it. So AI is definitely a day of reckoning coming.
• 17:48
  Speaker 1: The thing is lowo.
• 17:49
  Speaker 4: People are not prepared for this. Thank somebody out there
• 17:53
  Speaker 4: have no idea what's coming towards you. The driving, honestly
• 17:57
  Speaker 4: is the least of it.
• 17:58
  Speaker 1: It's a small thing, nursing homes with rail.
• 18:01
  Speaker 2: I think there's an important Sorry let me jump in
• 18:03
  Speaker 2: because I think there's an important thing, and I'm sorry.
• 18:05
  Speaker 2: I'm always thinking as an investor. Sure, the financial survival
• 18:09
  Speaker 2: part here, there's a very important takeaway from this in
• 18:13
  Speaker 2: that with the with the the Chinese apparently vaulting ahead
• 18:19
  Speaker 2: on efficiency with a deep seek model and it's and
• 18:21
  Speaker 2: its cost savings and all that, there was a there
• 18:24
  Speaker 2: was a huge hit to the energyshy sector when that
• 18:26
  Speaker 2: came out. Spot uranium went down, Uranium stocks went down.
• 18:32
  Speaker 2: You know, all this all this huge reaction to this
• 18:35
  Speaker 2: bot that was I don't know what the numbers are,
• 18:38
  Speaker 2: but it was, you know, much more efficient or supposedly
• 18:40
  Speaker 2: much more EMOTIONI but this is this is very wronghead.
• 18:44
  Speaker 2: I know you're you're with me here, you're shaking your head.
• 18:46
  Speaker 2: But let's even say it was as efficient as they claimed.
• 18:50
  Speaker 5: It doesn't matter.
• 18:51
  Speaker 2: You can use you know, something that's ten times more efficient,
• 18:55
  Speaker 2: but if you're using a thousand times more of it,
• 18:57
  Speaker 2: you're still going to use more. And particularly on the
• 19:00
  Speaker 2: energy thing. The more efficient you make these box, the
• 19:03
  Speaker 2: more things we'll use them for.
• 19:05
  Speaker 1: So you know, the sure.
• 19:07
  Speaker 2: Example I just I just saw was I asked Grok
• 19:12
  Speaker 2: a question and like we were just talking ugan it
• 19:14
  Speaker 2: fifteen seconds. It gives me, you know, everything I ever
• 19:17
  Speaker 2: wanted to know about ugan it. If there's a button there,
• 19:20
  Speaker 2: I can say, well, compare you gant it to Buttswana
• 19:23
  Speaker 2: and tell me that, you know, give me a swat
• 19:25
  Speaker 2: analysis or something. Then it goes off for fifteen minutes
• 19:30
  Speaker 2: and it tells you what it's doing.
• 19:32
  Speaker 1: I'm reading this.
• 19:33
  Speaker 2: I found these papers and there's some relevant conversation on
• 19:36
  Speaker 2: these Reddit threads, and.
• 19:38
  Speaker 5: It's it's doing an enormous amount of work.
• 19:40
  Speaker 2: So okay, we save money on that fifteen second compute,
• 19:44
  Speaker 2: right where did that? But now it's so cheap that
• 19:46
  Speaker 2: we're using it for fifteen minutes doing all this other stuff.
• 19:51
  Speaker 2: So this this whole thing that suddenly the Chinese have
• 19:54
  Speaker 2: made Ai energy efficient, we don't need any more energy.
• 19:57
  Speaker 2: I think that's just it's flat out it's not just
• 20:00
  Speaker 2: flat out wrong. It's it's like the opposite of right,
• 20:03
  Speaker 2: we are going to use so much more energy, even
• 20:06
  Speaker 2: if we use it more efficient, We're going to use
• 20:08
  Speaker 2: more We're going to need to build more power stations.
• 20:12
  Speaker 2: And I think that's going to be a tailwind for
• 20:15
  Speaker 2: cold but I think it's also a tailwind for nuclear.
• 20:18
  Speaker 2: And I think that the sell off in uranium was.
• 20:23
  Speaker 5: Not only a buying opportunity.
• 20:25
  Speaker 7: But it was It was one of these beautiful ones
• 20:28
  Speaker 7: that you can see that it's for the wrong reason.
• 20:30
  Speaker 7: Like when something sells off for good reason, right, there's
• 20:32
  Speaker 7: a big problem or whatever, unity you take your lumpsy
• 20:35
  Speaker 7: move on if it sells off for the wrong reason,
• 20:37
  Speaker 7: a market panic or an overreaction to something that in
• 20:40
  Speaker 7: this case is maybe not irrelevant but completely interpreted.
• 20:45
  Speaker 2: The wrong way, like this, this discovery or this development
• 20:49
  Speaker 2: just means we'll use more AI, which will demand more
• 20:53
  Speaker 2: And these big, these big data centers, they use as
• 20:56
  Speaker 2: much energy as is a medium sized city each one.
• 21:00
  Speaker 2: So I think there's strong investment implications here. And if
• 21:04
  Speaker 2: anybody you know was misled by this notion of oh,
• 21:07
  Speaker 2: suddenly we don't need any more energy for AI, do
• 21:11
  Speaker 2: some research. Don't ask an AI about it, but you know,
• 21:14
  Speaker 2: ask a real human being. I think there's an opportunity
• 21:17
  Speaker 2: in that mistake, that mistake in perception.
• 21:20
  Speaker 4: Well, let me tell you I've been using AI for
• 21:23
  Speaker 4: God almost as long as I have been driving a Tesla.
• 21:27
  Speaker 4: And what I can tell you, And I just asked
• 21:30
  Speaker 4: chat GPT, what do you think of deep Seek And
• 21:35
  Speaker 4: it said that it's reportedly on a par with GPT
• 21:40
  Speaker 4: three point five or early Geminy. Censorship is baked in.
• 21:45
  Speaker 4: It avoids politically sensitive topics by design, includes training data,
• 21:50
  Speaker 4: party approved history, ideology, and filtered Western sources. And it
• 21:57
  Speaker 4: says think of it as red pill GPT, but with
• 22:00
  Speaker 4: G's face on the pill. And speed of iteration is rapid,
• 22:05
  Speaker 4: but it's basically tofu drag.
• 22:09
  Speaker 6: AIA that's interesting is it the red pill, the one
• 22:12
  Speaker 6: that wakes you up to reality.
• 22:14
  Speaker 1: I thought the blue pill was the one that was delusional. Yeah, well,
• 22:17
  Speaker 1: of red pill.
• 22:17
  Speaker 4: I think it's it's making a joke about communism.
• 22:20
  Speaker 1: You know.
• 22:21
  Speaker 4: Oh the thing has a sense of humor. So yeah,
• 22:28
  Speaker 4: so interesting stuff.
• 22:29
  Speaker 2: But I think, you know, even if if you're if
• 22:32
  Speaker 2: you're anti nuclear, find the whole phenomenon is profoundly I
• 22:38
  Speaker 2: mean transformationally requiring an energy and electric energy build out
• 22:43
  Speaker 2: from whatever source. And I think, I mean, heck, we
• 22:46
  Speaker 2: just had you know, Denmark and Massachusetts, the People's Republic
• 22:53
  Speaker 2: of Massachusetts and even Germany finally doing a U turn
• 22:57
  Speaker 2: on nuclear energy. I mean, this straws in the wind.
• 23:01
  Speaker 2: It's not just like one straw. It's whole freaking bales
• 23:03
  Speaker 2: of hay blowing by with this nuclear renaissance here. But
• 23:07
  Speaker 2: even if you're not into that, you know, gas fired,
• 23:11
  Speaker 2: beautiful clean coal, you name it.
• 23:13
  Speaker 1: We're gonna need.
• 23:14
  Speaker 2: It because we are going to have to double and
• 23:17
  Speaker 2: then double again our capacity. Hey, and let's not forget
• 23:22
  Speaker 2: the deep state. They're the biggest the user of AI
• 23:26
  Speaker 2: on the planet of the area around Langley. So you
• 23:31
  Speaker 2: have Langley, CIA, you have defense Intelligence Agency. Probably the
• 23:36
  Speaker 2: FBI's got one there as well, and they'll forget the
• 23:40
  Speaker 2: Nose such agency.
• 23:41
  Speaker 1: Yeah, and the NSA.
• 23:44
  Speaker 4: Right, So they're using more AI and more electricity than anyone.
• 23:48
  Speaker 4: They're gonna need nuclear power plants, modular ones literally in
• 23:52
  Speaker 4: their basements to keep up with all this power demand.
• 23:56
  Speaker 4: There's not enough solar, not enough space on the planet
• 24:00
  Speaker 4: for solar to feed all this stuff.
• 24:02
  Speaker 2: That brings up sort of the dark side here. And
• 24:06
  Speaker 2: as much as I look forward to safer highways, I
• 24:10
  Speaker 2: don't really look forward to AI powered facial recognition with
• 24:16
  Speaker 2: the you know, cameras everywhere, not just airports anymore, I
• 24:20
  Speaker 2: mean every atm, I mean every stoplight these days. Is
• 24:23
  Speaker 2: you know, there is there is a nineteen eighty four
• 24:28
  Speaker 2: concern here, and I.
• 24:30
  Speaker 1: I don't know what to do about that. There's no
• 24:32
  Speaker 1: stopping it.
• 24:32
  Speaker 2: If the US just says, Okay, we're going to be
• 24:35
  Speaker 2: the pro freedom country, we're not going to do any AI, well,
• 24:38
  Speaker 2: the Russians aren't going to do that, and the Chinese
• 24:40
  Speaker 2: aren't going to do that, and they'll blow us out
• 24:41
  Speaker 2: of the water. So there's it's an arms race. There's
• 24:44
  Speaker 2: a choice but to go ahead, and I don't know
• 24:47
  Speaker 2: how to safeguard individual rights in that context. But I
• 24:51
  Speaker 2: sure hope the folks at Google and Apple and whatnot
• 24:55
  Speaker 2: are are remembering, you know, Google's supposed mandate of don't evil.
• 25:01
  Speaker 4: They changed that slogan a long time ago. Logo they
• 25:05
  Speaker 4: forgot that one. But it's interesting and that the traditional
• 25:09
  Speaker 4: players here Meta, Google and Apple are so far behind
• 25:14
  Speaker 4: the curve on this AI it's it's it's not even close.
• 25:20
  Speaker 4: My opinion is they've already lost the battle. Maybe successive
• 25:24
  Speaker 4: re releases regenerations of their AI model will prove me wrong.
• 25:30
  Speaker 4: But until that happens, I think they're they're cooked. But
• 25:35
  Speaker 4: we will say, timmy, okay, all right, but you're not
• 25:38
  Speaker 4: cheering me up here.
• 25:39
  Speaker 1: Brother.
• 25:40
  Speaker 2: Well you know, maybe Sam Altman is an angel in disguise.
• 25:43
  Speaker 1: I don't know.
• 25:46
  Speaker 2: I sure hope that the I mean, if we do
• 25:50
  Speaker 2: get to the point you know that, you know, it's
• 25:52
  Speaker 2: iterative progress, it's getting smarter all the time. If the
• 25:55
  Speaker 2: thing breaks out into AGI, you know, an actual superhuman intelligence,
• 26:00
  Speaker 2: I sure hope that the more ethical I won't say
• 26:04
  Speaker 2: ethical players because I'm not sure there are any completely
• 26:06
  Speaker 2: ethical players here, but I certainly hope the more ethical
• 26:10
  Speaker 2: players get there first, because there's a potential here for
• 26:14
  Speaker 2: this to be a winner. Takes all kind of race.
• 26:16
  Speaker 2: And yeah, you know, the funny thing is, I'm not
• 26:19
  Speaker 2: really worried about Skynett. I'm not worried about it waking
• 26:22
  Speaker 2: up and turning evil. I am worried about you know,
• 26:25
  Speaker 2: a very powerful agentive AI built without the moral constraints
• 26:31
  Speaker 2: that I you know that a Westerner might design in
• 26:34
  Speaker 2: or even one specifically built with conquest in mind. I
• 26:38
  Speaker 2: can absolutely see Buten designing a supersystem to help them
• 26:44
  Speaker 2: take over the world.
• 26:44
  Speaker 4: If it could exactly could not agree with you, Mara. Well,
• 26:48
  Speaker 4: on that note, we got to get going. Just tell
• 26:50
  Speaker 4: us how we connect with you, how we subscribe to
• 26:53
  Speaker 4: your newsletter.
• 26:54
  Speaker 2: Well, thanks for the opportunity. It's Independent Speculator dot com.
• 26:58
  Speaker 2: And rather try to sell you the whole big thing,
• 27:00
  Speaker 2: I always just tell people that there's a free weekly letter.
• 27:02
  Speaker 1: If you sign up for you can try it see
• 27:04
  Speaker 1: if you like the way. I think that.
• 27:05
  Speaker 2: One thing I do promise is that I won't spam
• 27:08
  Speaker 2: you with a flood of daily advertisements. I hate that
• 27:10
  Speaker 2: you get one email and you can check it out,
• 27:12
  Speaker 2: all right.
• 27:13
  Speaker 4: You'll make sure the AI keeps them out of the algorithm.
• 27:16
  Speaker 1: Right, we'll try.
• 27:18
  Speaker 4: All right, We've got a question for Lobo myself. Email
• 27:21
  Speaker 4: Klatcarrie LUTs dot com and you'll find a link to
• 27:26
  Speaker 4: the in the show that's this interview to his site
• 27:29
  Speaker 4: on Financial Survival.
• 27:31
  Speaker 1: Network dot com.
• 27:32
  Speaker 4: When you go there, we just ask that you subscribe,
• 27:34
  Speaker 4: like eighty thousand others of you have. Lobo, we'll talk
• 27:37
  Speaker 4: to you again soon. Thanks for coming on.
• 27:39
  Speaker 3: Thank you, Kerry, thanks for listening to Carrie Letz's Financial
• 27:43
  Speaker 3: Survival Network. Your solution to today's trying times. For the latest,
• 27:48
  Speaker 3: go to Financial Survivalnetwork dot com. Financial Survival Network now
• 27:54
  Speaker 3: more than ever,