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Speaker 1: You know, we can.

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Speaker 2: We'll gather about AI and the science fiction of the future.

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But as an investor, I'm thinking about this. You know,

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what are my takeaways? And I think, well, the technology

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itself has certain demands and inputs and that's investable. But

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on the other hand, you know, if you really do

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have fleets and robot cars everywhere, does everybody need to

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have a car? We could actually see this have a

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negative impact on commodities.

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Speaker 3: You're listening to Carrie Letz's Financial Survival Network, where you

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get valuable information you just can't find anywhere else to

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thrive in today's trying times. You need the Financial Survival

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Network now more than ever. Go to Financial Survivalnetwork dot

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com and get your free newsletter and gift. Financial Survival

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Network now more than ever.

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Speaker 4: And welcome you are listening to and watching the Financial

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Survival Network.

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Speaker 1: I'm your host, Kerry Lutz.

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Speaker 4: Awhere, like two thirds the way through may Lovo t

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Grade is with us now. And well, what's going on

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out there? Well, this world has gone totally insane. Nobody

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knows what's happening.

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Speaker 5: You would know that from the S and P five hundred.

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Speaker 6: Yeah, Well, somebody knows something, right, yeah, it's a it's

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a it's a mad, sad world out there, and there

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are many different directions we can take this conversation, but

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I guess my intro remarks Carrie would be I.

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Speaker 2: Think Wall Street is delusional to be celebrating the de

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escalation between the US and China. I mean, even if

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it's true it's a de escalation, it's certainly not peace

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in the trade war. And even you know, even if

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they make some kind of deal, the outcome of that

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is still going to be a more expensive, less efficient

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trade arrangement that the bare minimum it's pretty clear Trump

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is going after is ten percent around the world. So

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there's there is going back to the way things were before,

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and for equities to be priced as they were before,

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in my view, makes no sense that I think this

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has investment implications, even if you're not a mainstream investor,

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because if the if the broader markets are making a

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mistake right now, they're overly optimistic for how all this

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stuff is going to work out. Uh, there will be

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plenty more Trump shock to come. And I don't mean

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that as an insult. You know, love him or hate him,

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There's there's Trump shock to come and that has you know,

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a lot of investment implications for us.

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Speaker 1: So so what about Doge here they're cutting.

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Speaker 5: And dropped out of the news cycle.

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Speaker 4: Yeah, which is a good thing because Elon Musk, at

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least as far as the media is concerned, dropped off

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off the charts because you know, he's getting too much

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hate starting to affect his business and he's.

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Speaker 1: Got important things going on there.

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Speaker 4: I mean, we got full self driving taxis, robocaves slated

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to hit the streets in the twelve days Lobo, now

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if there's a game.

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Speaker 2: I was just writing about this and I got some

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pushback on Twitter. You know, a lot of people are like, oh,

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they'll never be safe. I'll never be comfortable with a

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robot driving my car and all that. I was driven

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to the airport in Frankfurt a couple of days ago,

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and it was a test the model, why I think,

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And it had on the screen like this graphical representation

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of the neighborhood. Yeah, and the trucks and the cars

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would appear the road, you know, you expect that, but

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the people on the sidewalk would appear, and he could

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tell when somebody was on a bike and it would

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you know, it would appear on the screen as a cyclist.

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Speaker 1: I never I had not seen this before. But two

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things like.

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Speaker 2: It saw everything, yes, and it saw it before I did.

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Like I'd see on the screen as a person and

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I'd go, oh, yeah, there it is. So it is

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really quite impressive and this is happening the UK. It

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was also in the news that they are saying, well,

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we're going to delay the uber robot taxis until twenty

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twenty seven. What we're saying, we can do it today,

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but well this is coming and I know some people

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hate it, but you know what, the robot is never

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going to get drunk, It's never going to get tired,

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it's never going to you know, get distracted chatting on

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the phone with his girlfriend or.

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Speaker 1: Something, texting, texting.

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Speaker 2: So I think this will man the road's safer and

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I'm and by the way it does.

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Speaker 5: It doesn't even have to be an electric car. You know,

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if you hate see electric cars, that's not the point.

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Speaker 4: It actually does have to be an electric card. Not

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because of technology. It's just that electric is more responsive

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than ice.

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Speaker 1: Is a fact.

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Speaker 4: Direct drive motors you don't have transmissions, not in the

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way that cars do. It doesn't shift gears and you

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have the regenitor breaking, which makes it much safer.

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Speaker 5: But okay, so it makes sense.

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Speaker 2: But yeah, my point was simply, I don't think people

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should hate the robot taxis just because they hate electric cars.

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Speaker 1: Yeah. Well, what I can tell you is this.

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Speaker 4: I've been driving a Tesla for three and a half years.

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I have the FSD. There are most instances it drives

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better than me. It has eight cameras, so you have

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three sixty vision, and its response times are immediate. You know,

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no matter how good your reflexes are as a human being,

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you've got a gap between sensory perception and stimulus right

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in action. And it eliminates that. I've actually you had people,

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you know, I've actually had people run in front of

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my car pitch black road, middle of the night on

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a bicycle. I didn't even see it. The car hit

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the brakes. I thought it was phantom breaking. It saw

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the guy before he crossed the Road's and this.

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Speaker 5: Is direct personal experience. This is a here say you

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had this happen to you, This happened to me.

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Speaker 1: That's impressive.

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Speaker 2: And so here's here's the you know, we can we

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can We'll gather about AI and the science fiction of

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the future. But as an investor, I'm thinking about this,

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you know, what are my takeaways? And I think, well,

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the technology itself has certain demands and inputs, and that's investable.

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But on the other hand, you know, if you really

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do have fleets of robot cars everywhere, does everybody need

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to have a car? We could actually see this have

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a negative impact on commodities because I mean, honestly, my

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car at home, I drive it once every two weeks

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or something. You know, the grocery stores around the corner ry,

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I don't drive it that much. And if you've got,

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you know, this ubiquous fleet of robotaxes, they're all there, Like,

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do you really need to have a car if you

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can snap your fingers and one shows up as quickly? Right,

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So I'm thinking about this. Okay, this isn't going to

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change the markets overnight, but farther ahead, I could see it.

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You know where the automotive demand not just for battery

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metals but for steel and everything actually goes way down.

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Speaker 4: Oh, there's no question, because your car, unless you drive

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it for work during work, is basically dormant ninety percent

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of the time. Even if you drive it for work,

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it's still going to be dormant sixty percent of the time, right, So.

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Speaker 1: Basically what it does is.

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Speaker 4: Commodifies ride shares effectively, assuming it can do everything. And

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the one thing people don't understand you need to get

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is it doesn't have to drive perfectly. It only has

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to drive better than a human. It's already at that

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point where it's in ninety nine percent.

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Speaker 2: This was the thing, This was the very thing that

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came up on my Twitter feed, the pushback I was getting, Oh,

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it's it's still not safe. Ninety seven percent isn't good enough.

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It's not one hundred percent. And I'm thinking, yeah, but

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humans aren't one hundred percent.

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Speaker 1: And okay, right.

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Speaker 2: Now, I think you know, people are afraid. It's a

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new technology, you know, and okay, I get it. It'll

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take a while for people to get convinced.

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Speaker 5: But at some point this.

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Speaker 1: Should be an empirical question.

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Speaker 2: It shouldn't be about how I feel or you feel,

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or what we think or what we like.

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Speaker 5: It'll be about the math.

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Speaker 2: You know, who has a better safety record? You know,

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how many people per year to the robotaxis killed per

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per thousand units or whatever, and how many people do

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humans kill it, and that's the end of the debate.

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Speaker 4: That's it analytics, it's just data. And you know, the

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cool thing is that it's already better in Florida than

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ninety five percent of the people driving on I ninety

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five at any given moment.

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Speaker 1: It's already better. It's already And.

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Speaker 2: Hey, you know what, And even if you know I

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like driving, I I I don't want to have a

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man if I own one of these things, or even

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if I get in one of these things, I want

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there to be a steering wheel in case I need

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to take over for some reason or you know, the

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chip gets fried. I would want to be able to

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control the car, and I actually enjoy driving. I would

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like there to be parties in the future where you

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can rent a car if you're go driving, you know,

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around on empty highways by yourself or something. But meanwhile,

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if the robot is better than me doing it, I

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can get work done, right, or I can watch, or

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I can have you know, a text message like rohabby

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or whatever important thing you know, I.

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Speaker 5: Can do instead of just staring at the road, right,

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you know, why not delegate that.

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Speaker 4: You know it gives you, like when you try to

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text and drive, which you can do with the thing.

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That's how much I trust it. You can text and drive,

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especially on a highway because on the highway it's really

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in its element. But when you do it, it gives

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you a nag and then if you keep doing it,

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it kicks you off the FSD for the reportable trip.

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So it's a nanny car too. But really, at this point,

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there's no reason you be.

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Speaker 1: Able to text and drive. It's that good, LOWO, It's

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that good.

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Speaker 4: And imagine the effect it's going to have on the

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country because the largest job job description in the United

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States is driver, every form of driver that you can

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think of, truck drivers, taxis uber. It's over ten million people,

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and those people for the most part going to be

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out of a job eventually.

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Speaker 2: If we want to, we'll gather on that. This is

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something I've been thinking. You know, I'm a hardcore libertarian.

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I believe in I don't believe in subsidies and freebies,

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and I'm opposed to welfare, you know, the moral hazard,

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all that stuff.

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Speaker 1: I believe all that.

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Speaker 2: But in a world, particularly during the transition, when the

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robots take over so much of the work and the

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AIS take over the intellectual work.

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Speaker 5: I'm just not.

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Speaker 2: I mean, what is everybody going to do? Not everybody

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can become a post overnight, right, And where I'm going

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with this is I can actually as eat an argument

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or for UBI at least during the transition. And you know,

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my mind recoils it the idea.

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Speaker 1: I hate it. I don't.

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Speaker 5: I don't believe in freebies and giveaways.

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Speaker 1: You know that's you know.

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Speaker 2: Everything about me wants to say bad, bad, bad bad bad.

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Speaker 1: But if like half the jobs.

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Speaker 2: In the world go away over the next fifteen years,

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I mean, you know, what are they going to do?

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Weep baskets and how many tourists can you sell a

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basket to?

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Speaker 1: Right?

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Speaker 5: Of course I don't know the answer to this.

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Speaker 4: I don't either, but I do know that not everybody

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can be a podcaster, right.

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Speaker 5: Well, see I've seen that creator, right, I.

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Speaker 2: Have seen who was It wasn't John Stossel.

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Speaker 1: It was somebody like that.

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Speaker 2: You know, did one of these demos where there was

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an artificial person of them doing the intro of the show.

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You have to tell it wasn't real, but it's still

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pretty damn good.

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Speaker 1: It's good enough, right, Yeah.

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Speaker 2: So for my own selfish interests. I've been looking at

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this and I've been thinking, Okay, as long as AIS hallucinate,

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I think my job is safe because what people me

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to do is I'm a due diligence guy. Like people

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pay me money because they trust me. Yeah, and it

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I mean, I get everything right. I'm not one hundred

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percent you know, I'm human, right, but they trust me

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that I'm not for sale for some company that you know,

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people can't recommend something that's crap, right, and they pay

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me to actually care and to try hard. And why

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bootleathered actually go look at the rocks in the ground

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and try to tell if the story is true or not.

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So as long as AIS hallucinate, and as long as

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AIS can't, you know, put on boots and do what

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I do, I feel pretty.

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Speaker 5: Safe in my job.

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Speaker 2: But you look at the robot, it's the Chinese are building,

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and you know Tesla as well and so on.

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Speaker 1: You know they are going to.

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Speaker 2: Be able to apply boot leather pretty soon. So I

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don't know, I'm hanging my hat right now in the trust.

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I don't know how much people are going to trust AIS.

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Speaker 4: For now, for now, for now, but eventually we'll have

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to trust them because they're going to do stuff better

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than us, better than you can, and you know what

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choice do you have?

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Speaker 2: Well, but let's say let's say you're a Biden Harris fan,

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and the facts are that Biden was seen now during

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the last part of his presidency.

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Speaker 1: Sure, I don't remember.

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Speaker 2: Let's say, let's say these are the facts, but you

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don't want to believe these facts. And the preponderance of

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the data is there such that an objective AIS says,

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you know what Biden was seen now during the last

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few years of his presidency, of not the whole thing.

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You're not going to trust that AI, and it doesn't

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matter what data it presents you. It's you don't want

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to believe it, so you're not going to And not

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to pick sides, you could say the same thing on

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the other side, Yeah right, you know, so, I just

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I think we're a long way from a world at which.

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Speaker 5: The AIS are are so credible that.

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Speaker 2: People will just believe them like a god, right, you know,

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are we creating a digital god that we trust and

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everybody trusts? So absolutely, I just don't see that happening

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anytime soon. It runs contrary to my observation of human nature.

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Speaker 1: Yeah, I know. I know.

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Speaker 4: Well, it's a brave new world, as they say, right,

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and you know you got to get with it or

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you're going to get overwhelmed by it.

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Speaker 1: I use it. In fact, I did.

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Speaker 4: One of the first AI related related layoffs in the world.

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I was paying somebody to do my show notes. She

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was really great, loved her. She wasn't that fast, not

290
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as fast as I wanted to be. And when they

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started transcripting AI. You know what AI transcription? I said,

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what do I need to pay her for? And it

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does it instantly. I don't have to wait for turnaround.

294
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So I'm really sorry you got to go. I used

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the chat GPT to write a recommendation letter and saving

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money now and it's getting done a lot faster.

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Speaker 2: You know.

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Speaker 4: I got to do a little work as far as editing,

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because sometimes it just uses trite phrases, it just uses

300
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things that aren't right. But over time it's getting better

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and better, Lobo, it's getting.

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Speaker 2: I hear you that I've gone from telling my team

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when I think it was chit GPT three when it

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first came out. Excuse me, I don't flog it myself,

305
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but I've gone from telling my team I would fire

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anybody who used this crap because it was so bad

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and you know, so hallucinatory to Now I have somebody

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on the team, you know, dedicated to seeing how we

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can integrate the technology and use the research tools more

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than just even on the simple basis. And please don't

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worry to your audience. I still check everything. Yeah there's

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still a human in the loop. But you know, my

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take is still my take. Everything comes through you know

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this brain. I get one together, but it's a mixed

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If we want background on you know, some country I

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haven't been to, not a lot of those, but you know, uh.

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Speaker 1: Uganda.

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Speaker 2: I've never been to Uganda, and they claim to have

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found ninety three trillion dollars worth of gold. So if

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I want to research Uganda, I can ask a bot

321
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and it can produce a better summary than the CIA

322
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factbook in seconds, right, and a human couldn't do that.

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And we still need to check it. So I can't

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just say well, I have all this stuff and now

325
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you know, oh you got to check. But just that

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one task of pulling together the information for me to

327
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check so that I can read it and look into

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what makes sense and what I need to follow up

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on that would have been you know, some intern or

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analyst weeks or a month to pull together and now

331
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it's fifteen seconds.

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Speaker 4: Yeah, instantaneous and company research. Like you said, it's not

333
00:17:33,920 --> 00:17:37,400
always up to date and it's not always pertinent, so

334
00:17:37,480 --> 00:17:40,559
you can't just blindly follow it. But once you have

335
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that info, you know there's a lot you can do

336
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with it. So AI is definitely a day of reckoning coming.

337
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Speaker 1: The thing is lowo.

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Speaker 4: People are not prepared for this. Thank somebody out there

339
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have no idea what's coming towards you. The driving, honestly

340
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is the least of it.

341
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Speaker 1: It's a small thing, nursing homes with rail.

342
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Speaker 2: I think there's an important Sorry let me jump in

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because I think there's an important thing, and I'm sorry.

344
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I'm always thinking as an investor. Sure, the financial survival

345
00:18:09,559 --> 00:18:13,759
part here, there's a very important takeaway from this in

346
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that with the with the the Chinese apparently vaulting ahead

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on efficiency with a deep seek model and it's and

348
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its cost savings and all that, there was a there

349
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was a huge hit to the energyshy sector when that

350
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came out. Spot uranium went down, Uranium stocks went down.

351
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You know, all this all this huge reaction to this

352
00:18:35,519 --> 00:18:38,079
bot that was I don't know what the numbers are,

353
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but it was, you know, much more efficient or supposedly

354
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much more EMOTIONI but this is this is very wronghead.

355
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I know you're you're with me here, you're shaking your head.

356
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But let's even say it was as efficient as they claimed.

357
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Speaker 5: It doesn't matter.

358
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Speaker 2: You can use you know, something that's ten times more efficient,

359
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but if you're using a thousand times more of it,

360
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you're still going to use more. And particularly on the

361
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energy thing. The more efficient you make these box, the

362
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more things we'll use them for.

363
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Speaker 1: So you know, the sure.

364
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Speaker 2: Example I just I just saw was I asked Grok

365
00:19:12,240 --> 00:19:14,240
a question and like we were just talking ugan it

366
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fifteen seconds. It gives me, you know, everything I ever

367
00:19:17,319 --> 00:19:20,079
wanted to know about ugan it. If there's a button there,

368
00:19:20,079 --> 00:19:23,119
I can say, well, compare you gant it to Buttswana

369
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and tell me that, you know, give me a swat

370
00:19:25,640 --> 00:19:29,839
analysis or something. Then it goes off for fifteen minutes

371
00:19:30,279 --> 00:19:31,720
and it tells you what it's doing.

372
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Speaker 1: I'm reading this.

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Speaker 2: I found these papers and there's some relevant conversation on

374
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these Reddit threads, and.

375
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Speaker 5: It's it's doing an enormous amount of work.

376
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Speaker 2: So okay, we save money on that fifteen second compute,

377
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right where did that? But now it's so cheap that

378
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we're using it for fifteen minutes doing all this other stuff.

379
00:19:51,240 --> 00:19:54,640
So this this whole thing that suddenly the Chinese have

380
00:19:54,720 --> 00:19:57,680
made Ai energy efficient, we don't need any more energy.

381
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I think that's just it's flat out it's not just

382
00:20:00,920 --> 00:20:03,880
flat out wrong. It's it's like the opposite of right,

383
00:20:03,920 --> 00:20:06,759
we are going to use so much more energy, even

384
00:20:06,799 --> 00:20:08,519
if we use it more efficient, We're going to use

385
00:20:08,519 --> 00:20:11,839
more We're going to need to build more power stations.

386
00:20:12,200 --> 00:20:14,960
And I think that's going to be a tailwind for

387
00:20:15,720 --> 00:20:18,160
cold but I think it's also a tailwind for nuclear.

388
00:20:18,960 --> 00:20:21,200
And I think that the sell off in uranium was.

389
00:20:23,119 --> 00:20:25,599
Speaker 5: Not only a buying opportunity.

390
00:20:25,079 --> 00:20:28,400
Speaker 7: But it was It was one of these beautiful ones

391
00:20:28,440 --> 00:20:30,279
that you can see that it's for the wrong reason.

392
00:20:30,359 --> 00:20:32,920
Like when something sells off for good reason, right, there's

393
00:20:32,960 --> 00:20:35,240
a big problem or whatever, unity you take your lumpsy

394
00:20:35,279 --> 00:20:37,680
move on if it sells off for the wrong reason,

395
00:20:37,920 --> 00:20:40,880
a market panic or an overreaction to something that in

396
00:20:40,920 --> 00:20:45,440
this case is maybe not irrelevant but completely interpreted.

397
00:20:45,480 --> 00:20:49,720
Speaker 2: The wrong way, like this, this discovery or this development

398
00:20:49,839 --> 00:20:52,519
just means we'll use more AI, which will demand more

399
00:20:53,640 --> 00:20:56,559
And these big, these big data centers, they use as

400
00:20:56,640 --> 00:20:59,200
much energy as is a medium sized city each one.

401
00:21:00,119 --> 00:21:04,039
So I think there's strong investment implications here. And if

402
00:21:04,079 --> 00:21:07,640
anybody you know was misled by this notion of oh,

403
00:21:07,880 --> 00:21:11,480
suddenly we don't need any more energy for AI, do

404
00:21:11,599 --> 00:21:14,279
some research. Don't ask an AI about it, but you know,

405
00:21:14,440 --> 00:21:17,759
ask a real human being. I think there's an opportunity

406
00:21:17,839 --> 00:21:19,839
in that mistake, that mistake in perception.

407
00:21:20,680 --> 00:21:23,119
Speaker 4: Well, let me tell you I've been using AI for

408
00:21:23,720 --> 00:21:27,000
God almost as long as I have been driving a Tesla.

409
00:21:27,799 --> 00:21:30,359
And what I can tell you, And I just asked

410
00:21:30,440 --> 00:21:35,119
chat GPT, what do you think of deep Seek And

411
00:21:35,720 --> 00:21:40,440
it said that it's reportedly on a par with GPT

412
00:21:40,640 --> 00:21:44,799
three point five or early Geminy. Censorship is baked in.

413
00:21:45,240 --> 00:21:50,599
It avoids politically sensitive topics by design, includes training data,

414
00:21:50,759 --> 00:21:57,240
party approved history, ideology, and filtered Western sources. And it

415
00:21:57,279 --> 00:21:59,880
says think of it as red pill GPT, but with

416
00:22:00,119 --> 00:22:05,400
G's face on the pill. And speed of iteration is rapid,

417
00:22:05,920 --> 00:22:08,920
but it's basically tofu drag.

418
00:22:09,480 --> 00:22:12,920
Speaker 6: AIA that's interesting is it the red pill, the one

419
00:22:12,920 --> 00:22:14,160
that wakes you up to reality.

420
00:22:14,240 --> 00:22:17,000
Speaker 1: I thought the blue pill was the one that was delusional. Yeah, well,

421
00:22:17,000 --> 00:22:17,599
of red pill.

422
00:22:17,640 --> 00:22:21,160
Speaker 4: I think it's it's making a joke about communism.

423
00:22:20,839 --> 00:22:21,039
Speaker 1: You know.

424
00:22:21,519 --> 00:22:27,680
Speaker 4: Oh the thing has a sense of humor. So yeah,

425
00:22:28,119 --> 00:22:29,079
so interesting stuff.

426
00:22:29,119 --> 00:22:32,359
Speaker 2: But I think, you know, even if if you're if

427
00:22:32,359 --> 00:22:38,559
you're anti nuclear, find the whole phenomenon is profoundly I

428
00:22:38,599 --> 00:22:43,039
mean transformationally requiring an energy and electric energy build out

429
00:22:43,039 --> 00:22:46,200
from whatever source. And I think, I mean, heck, we

430
00:22:46,440 --> 00:22:53,440
just had you know, Denmark and Massachusetts, the People's Republic

431
00:22:53,519 --> 00:22:57,680
of Massachusetts and even Germany finally doing a U turn

432
00:22:57,799 --> 00:23:01,400
on nuclear energy. I mean, this straws in the wind.

433
00:23:01,480 --> 00:23:03,880
It's not just like one straw. It's whole freaking bales

434
00:23:03,920 --> 00:23:07,319
of hay blowing by with this nuclear renaissance here. But

435
00:23:07,720 --> 00:23:11,279
even if you're not into that, you know, gas fired,

436
00:23:11,359 --> 00:23:13,559
beautiful clean coal, you name it.

437
00:23:13,599 --> 00:23:14,440
Speaker 1: We're gonna need.

438
00:23:14,319 --> 00:23:17,720
Speaker 2: It because we are going to have to double and

439
00:23:17,759 --> 00:23:22,319
then double again our capacity. Hey, and let's not forget

440
00:23:22,319 --> 00:23:26,079
the deep state. They're the biggest the user of AI

441
00:23:26,599 --> 00:23:31,039
on the planet of the area around Langley. So you

442
00:23:31,079 --> 00:23:35,960
have Langley, CIA, you have defense Intelligence Agency. Probably the

443
00:23:36,119 --> 00:23:40,160
FBI's got one there as well, and they'll forget the

444
00:23:40,160 --> 00:23:41,119
Nose such agency.

445
00:23:41,559 --> 00:23:43,400
Speaker 1: Yeah, and the NSA.

446
00:23:44,279 --> 00:23:48,079
Speaker 4: Right, So they're using more AI and more electricity than anyone.

447
00:23:48,400 --> 00:23:52,640
They're gonna need nuclear power plants, modular ones literally in

448
00:23:52,680 --> 00:23:56,119
their basements to keep up with all this power demand.

449
00:23:56,200 --> 00:23:59,960
There's not enough solar, not enough space on the planet

450
00:24:00,200 --> 00:24:01,920
for solar to feed all this stuff.

451
00:24:02,680 --> 00:24:05,160
Speaker 2: That brings up sort of the dark side here. And

452
00:24:06,440 --> 00:24:09,880
as much as I look forward to safer highways, I

453
00:24:10,119 --> 00:24:15,599
don't really look forward to AI powered facial recognition with

454
00:24:16,200 --> 00:24:20,039
the you know, cameras everywhere, not just airports anymore, I

455
00:24:20,039 --> 00:24:23,599
mean every atm, I mean every stoplight these days. Is

456
00:24:23,799 --> 00:24:27,839
you know, there is there is a nineteen eighty four

457
00:24:28,200 --> 00:24:29,160
concern here, and I.

458
00:24:30,079 --> 00:24:32,000
Speaker 1: I don't know what to do about that. There's no

459
00:24:32,079 --> 00:24:32,640
stopping it.

460
00:24:32,920 --> 00:24:35,200
Speaker 2: If the US just says, Okay, we're going to be

461
00:24:35,279 --> 00:24:38,000
the pro freedom country, we're not going to do any AI, well,

462
00:24:38,039 --> 00:24:40,160
the Russians aren't going to do that, and the Chinese

463
00:24:40,160 --> 00:24:41,640
aren't going to do that, and they'll blow us out

464
00:24:41,680 --> 00:24:44,440
of the water. So there's it's an arms race. There's

465
00:24:44,440 --> 00:24:47,119
a choice but to go ahead, and I don't know

466
00:24:47,279 --> 00:24:51,599
how to safeguard individual rights in that context. But I

467
00:24:51,680 --> 00:24:55,480
sure hope the folks at Google and Apple and whatnot

468
00:24:55,759 --> 00:25:00,440
are are remembering, you know, Google's supposed mandate of don't evil.

469
00:25:01,640 --> 00:25:05,079
Speaker 4: They changed that slogan a long time ago. Logo they

470
00:25:05,119 --> 00:25:09,640
forgot that one. But it's interesting and that the traditional

471
00:25:09,680 --> 00:25:14,799
players here Meta, Google and Apple are so far behind

472
00:25:14,839 --> 00:25:19,480
the curve on this AI it's it's it's not even close.

473
00:25:20,400 --> 00:25:24,799
My opinion is they've already lost the battle. Maybe successive

474
00:25:24,960 --> 00:25:30,240
re releases regenerations of their AI model will prove me wrong.

475
00:25:30,359 --> 00:25:35,200
But until that happens, I think they're they're cooked. But

476
00:25:35,880 --> 00:25:38,880
we will say, timmy, okay, all right, but you're not

477
00:25:38,960 --> 00:25:39,680
cheering me up here.

478
00:25:39,720 --> 00:25:40,000
Speaker 1: Brother.

479
00:25:40,440 --> 00:25:43,519
Speaker 2: Well you know, maybe Sam Altman is an angel in disguise.

480
00:25:43,799 --> 00:25:44,279
Speaker 1: I don't know.

481
00:25:46,240 --> 00:25:50,200
Speaker 2: I sure hope that the I mean, if we do

482
00:25:50,279 --> 00:25:51,960
get to the point you know that, you know, it's

483
00:25:52,039 --> 00:25:55,440
iterative progress, it's getting smarter all the time. If the

484
00:25:55,480 --> 00:26:00,599
thing breaks out into AGI, you know, an actual superhuman intelligence,

485
00:26:00,920 --> 00:26:04,240
I sure hope that the more ethical I won't say

486
00:26:04,279 --> 00:26:06,440
ethical players because I'm not sure there are any completely

487
00:26:06,480 --> 00:26:10,039
ethical players here, but I certainly hope the more ethical

488
00:26:10,039 --> 00:26:14,319
players get there first, because there's a potential here for

489
00:26:14,359 --> 00:26:16,279
this to be a winner. Takes all kind of race.

490
00:26:16,799 --> 00:26:19,359
And yeah, you know, the funny thing is, I'm not

491
00:26:19,400 --> 00:26:22,039
really worried about Skynett. I'm not worried about it waking

492
00:26:22,200 --> 00:26:25,759
up and turning evil. I am worried about you know,

493
00:26:25,799 --> 00:26:31,799
a very powerful agentive AI built without the moral constraints

494
00:26:31,839 --> 00:26:34,359
that I you know that a Westerner might design in

495
00:26:34,960 --> 00:26:38,000
or even one specifically built with conquest in mind. I

496
00:26:38,039 --> 00:26:44,160
can absolutely see Buten designing a supersystem to help them

497
00:26:44,160 --> 00:26:44,960
take over the world.

498
00:26:44,839 --> 00:26:47,960
Speaker 4: If it could exactly could not agree with you, Mara. Well,

499
00:26:48,319 --> 00:26:50,359
on that note, we got to get going. Just tell

500
00:26:50,440 --> 00:26:53,160
us how we connect with you, how we subscribe to

501
00:26:53,279 --> 00:26:54,240
your newsletter.

502
00:26:54,519 --> 00:26:58,039
Speaker 2: Well, thanks for the opportunity. It's Independent Speculator dot com.

503
00:26:58,440 --> 00:27:00,200
And rather try to sell you the whole big thing,

504
00:27:00,240 --> 00:27:02,519
I always just tell people that there's a free weekly letter.

505
00:27:02,519 --> 00:27:04,480
Speaker 1: If you sign up for you can try it see

506
00:27:04,480 --> 00:27:05,759
if you like the way. I think that.

507
00:27:05,920 --> 00:27:08,119
Speaker 2: One thing I do promise is that I won't spam

508
00:27:08,160 --> 00:27:10,319
you with a flood of daily advertisements. I hate that

509
00:27:10,519 --> 00:27:12,680
you get one email and you can check it out,

510
00:27:12,920 --> 00:27:13,440
all right.

511
00:27:13,640 --> 00:27:16,440
Speaker 4: You'll make sure the AI keeps them out of the algorithm.

512
00:27:16,599 --> 00:27:17,640
Speaker 1: Right, we'll try.

513
00:27:18,240 --> 00:27:20,880
Speaker 4: All right, We've got a question for Lobo myself. Email

514
00:27:21,000 --> 00:27:25,960
Klatcarrie LUTs dot com and you'll find a link to

515
00:27:26,680 --> 00:27:29,680
the in the show that's this interview to his site

516
00:27:29,720 --> 00:27:31,640
on Financial Survival.

517
00:27:31,160 --> 00:27:32,200
Speaker 1: Network dot com.

518
00:27:32,240 --> 00:27:34,519
Speaker 4: When you go there, we just ask that you subscribe,

519
00:27:34,599 --> 00:27:37,960
like eighty thousand others of you have. Lobo, we'll talk

520
00:27:37,960 --> 00:27:39,400
to you again soon. Thanks for coming on.

521
00:27:39,559 --> 00:27:43,160
Speaker 3: Thank you, Kerry, thanks for listening to Carrie Letz's Financial

522
00:27:43,240 --> 00:27:48,279
Survival Network. Your solution to today's trying times. For the latest,

523
00:27:48,319 --> 00:27:54,039
go to Financial Survivalnetwork dot com. Financial Survival Network now

524
00:27:54,160 --> 00:27:55,160
more than ever,