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Speaker 1: Welcome to Newt's World podcast on the iHeart Podcast Network.

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Speaker 1: You know, one of the most interesting and I think

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Speaker 1: understudied aspects of the Trump presidency is his passion for

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Speaker 1: building things. Comes out of his childhood, of course, and

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Speaker 1: the fact that his entire career he's been out there

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Speaker 1: making money building stuff, building hotels. He still has the

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Speaker 1: only high hat regency in New York City, a contract

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Speaker 1: he cleverly got done very early in his career. He

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Speaker 1: has always going around building Trump towers, Trump hotels, Trump

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Speaker 1: golf courses. That shouldn't shock us. Now that he's back

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Speaker 1: in the presidency, he is going around building things, all

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Speaker 1: of which, by the way, will have some impact of Trump.

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Speaker 1: My two favorites right now are the fight with the

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Speaker 1: Federal Court, which I think is almost certainly wrong in

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Speaker 1: the courtside about whether or not Trump can build a

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Speaker 1: new ballroom. He concluded that there was no place in

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Speaker 1: the White House where you could have a big enough

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Speaker 1: event to have people come and be dressed in really

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Speaker 1: fine outfits and have a big evening. And so, in

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Speaker 1: a Trump like manner, he tore down the East Wing

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Speaker 1: and is now putting in a brand new, huge ballroom.

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Speaker 1: He also, however, is putting an entire safe area below

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Speaker 1: the ballroom. So once they had created the space, they

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Speaker 1: talked to the military about how to create a really safe,

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Speaker 1: survivable center for the presidency in the East wing where

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Speaker 1: there never existed before. And that's going to be part

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Speaker 1: of this. Now what's fascinating is Trump, I think, intuited

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Speaker 1: that if he followed the tradition, the tradition which for example,

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Speaker 1: Jackie Kennedy had followed when she created the Rose Garden,

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Speaker 1: then it would all be paid for privately. So he

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Speaker 1: didn't go to the Congress and ask for money. He

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Speaker 1: simply raised the money to build this entire thing. And

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Speaker 1: it's a a lot of mine. It's a big project.

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Speaker 1: And now this federal judge is saying, well, you can't

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Speaker 1: do this without congressional approval. But the fact is the

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Speaker 1: Trump's lawyer said had looked at all this and historically

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Speaker 1: there is no congressional involvement in the White House if

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Speaker 1: it's being done privately. So there's an ongoing fight developing here.

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Speaker 1: And of course, being Trump, he already went out in

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Speaker 1: ask permission. He didn't go to court first. He just

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Speaker 1: went out tore down the building and began rebuilding, which

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Speaker 1: is something he's done in a number of his properties

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Speaker 1: over the years. I think his attitude is, look, there's

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Speaker 1: this huge hole on the ground, and I'm prepared to

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Speaker 1: pay the phillip and if you guys want to mess

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Speaker 1: around with it, you're going to have just a total

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Speaker 1: disaster on your hands. So I suspect in the end,

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Speaker 1: the court will be overruled. The Supreme Court will decide

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Speaker 1: that in fact, the tradition that presidents can do with

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Speaker 1: the White House what they want to as long as

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Speaker 1: they pay for it still stands, and Trump will before

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Speaker 1: he leaves office, have his brand new ballroom. In fact,

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Speaker 1: I wouldn't be shocked to see them get it done

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Speaker 1: in time to have at least one really big event

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Speaker 1: before he goes back into private life. Meanwhile, in the

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Speaker 1: last couple of days, his son Eric, who really runs

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Speaker 1: the day to day company, has announced a mock up

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Speaker 1: of the Trump Presidential Library. Now you may know that

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Speaker 1: Obama has built a large and fairly ugly building in

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Speaker 1: Chicago in which kind of stands out. But Obama, never

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Speaker 1: having been in construction but being a lawyer by trade,

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Speaker 1: lacked the understanding of what you really could get done.

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Speaker 1: And if you look the pictures, they're talking about putting

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Speaker 1: up gigantic skyscraper which will of course have at the

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Speaker 1: very top of it Trump. So the Trump Library south

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Speaker 1: of marri Largo fits the tradition of Trump Tower, Trump

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Speaker 1: National Golf Course worldwide. My guess is there must be

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Speaker 1: eighty or ninety places now that have Trump's name on it,

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Speaker 1: and he just cheerfully goes along doing it. And of

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Speaker 1: course the library again will be built with private funds,

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Speaker 1: so he doesn't actually care what the political system thinks

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Speaker 1: of it. But it's so perfectly classically Trump. It's going

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Speaker 1: to be big, it's going to be bold, it's going

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Speaker 1: to be visible, and it's going to have Trump on it.

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Speaker 1: Watching all this, if you have a sense of humor,

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Speaker 1: sometimes it's pretty darn funny. Coming up AI hype or hope,

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Speaker 1: promise or peril, existential threat or the next great technological

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Speaker 1: leap towards pross parity and human flourishing. I'm going to

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Speaker 1: talk with Winton Hall about his new book, Code Read.

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Speaker 1: That's next. I'm really pleased to welcome my guest, Winton Hall,

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Speaker 1: Bright Bart News, Director of Social Media, Distinguished Fellow at

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Speaker 1: Peter Schweizer's Government Accountability Institute and former visiting fellow at

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Speaker 1: Stanford University's Hoover Institution. He's joining me to discuss his

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Speaker 1: new book, Code Read the Left, the Right, China, and

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Speaker 1: the Race to control AI. When welcome. Thank you for

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Speaker 1: joining me the News world.

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Speaker 2: Oh, it's a pleasure to be with you, mister speaker.

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Speaker 2: Thank you.

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Speaker 1: I think this is a very important book. And you

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Speaker 1: describe AI as potentially the defining national security challenge of

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Speaker 1: the next decade. What do you mean by.

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Speaker 2: That, mispeaker.

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Speaker 3: I think the things that we have to realize is

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Speaker 3: that AI we often here described as a tool. It

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Speaker 3: is a tool, but it's also political power, and increasingly

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Speaker 3: within the AI warfare space, I think it is going

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Speaker 3: to become essential when we talk about beating China, I

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Speaker 3: think we can beat China without becoming China, maintain our values.

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Speaker 2: We're seeing the use of.

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Speaker 3: AI right now in Iran and certainly in the Maduro Rate.

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Speaker 3: And I think when you talk to folks in the

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Speaker 3: military and leadership in the defense tech space, they really

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Speaker 3: understand and explain that having that speed efficiency and also

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Speaker 3: as we move toward things like RSI, recursive self improvement,

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Speaker 3: which is of course the AI potentially theoretically one day

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Speaker 3: being able to constantly update and improve itself. That whoever

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Speaker 3: gains that advantage is going to have full spectrum battlefield

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Speaker 3: dominance and things like cybersecurity, encryption, hacking of missile systems,

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Speaker 3: hacking of infrastructure. So we really have to understand that

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Speaker 3: we are in a real sprint, and I think thankfully

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Speaker 3: you're seeing a lot of leadership around that, whether you're

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Speaker 3: talking about the War Department, President Trump, and just military

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Speaker 3: leadership who have long understood that technological innovation brings battlefield

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Speaker 3: opportunities for us to keep not just our soldier, sailors, airmen,

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Speaker 3: and marine safe but here at home as well as

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Speaker 3: asymmetric threats start to emerge.

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Speaker 1: We've already seen a pretty big jump in both kinagon

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Speaker 1: spending and general government spending on AI related contracts. Are

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Speaker 1: we doing enough in that direction?

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Speaker 3: I think we should do more, and I think that

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Speaker 3: one of the things that's important is a lot of

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Speaker 3: the traditional warfare machinery that we've seen, we know that

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Speaker 3: the costs are exceptionally high, and now with the AI innovation,

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Speaker 3: that cost curve can be brought down. And also the

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Speaker 3: efficiency can be brought up. One of the advantages not

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Speaker 3: just in the actual weapons themselves, but of course is

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Speaker 3: in the intel process for AI, because if there's one

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Speaker 3: thing that AI really excels in, as you know, is

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Speaker 3: massive paw recognition, and so you'll be able to take

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Speaker 3: all of that intercepted communication, whether it's satellites or images surveillance,

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Speaker 3: and be able to sift and sort that in what

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Speaker 3: would have taken months, if not longer, in teams of

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Speaker 3: hundreds or thousands, and you're now able to do that

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Speaker 3: in a matter of days with just a smaller team.

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Speaker 2: So it's one of those opportunities.

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Speaker 3: I think it also extends have a chapter in this

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Speaker 3: book about also on the domestic side, not just in

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Speaker 3: the foreign space, of how we can use AI towards

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Speaker 3: a conservative vision of a small or more efficient government

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Speaker 3: as well. So I think there are opportunities on both

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Speaker 3: sides of it, and I think that if we can

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Speaker 3: expand on that in the military side, it will be

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Speaker 3: to our advantage.

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Speaker 1: HEYI has a potential both to be an empowering tool

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Speaker 1: in dramatically improving a lot of what we do already do,

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Speaker 1: but also potentially inventing If you will a virtually new

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Speaker 1: battlefield of speed and complexity unlike anything we've ever seen before,

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Speaker 1: and that these are actually kind of two parallel areas.

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Speaker 1: That is, if you just get defense logistics, or you

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Speaker 1: could get the defense accounting system, since they've never had

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Speaker 1: a successful audit of the Pentagon, you know, with AI

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Speaker 1: you should be able to do that. But at the

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Speaker 1: same time, a military which understands the rhythm and capability

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Speaker 1: of the AI may be able to generate combat capabilities

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Speaker 1: in ways that would literally be unthinkable for people that

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Speaker 1: don't have that kind of advantage. Aren't these two sort

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Speaker 1: of parallel but very different applications that they are?

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Speaker 2: They really are?

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Speaker 3: Right so well, on the one hand, you're saying and

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Speaker 3: talking about the efficiency side of just the logistics, right,

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Speaker 3: the actual functions, and there I think there's no doubt, right,

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Speaker 3: that's almost in many ways like you would think of

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Speaker 3: in a corporate setting or in a large institutional setting

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Speaker 3: being able to have just the rudimentary nuts and bolts

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Speaker 3: of motion and logistics improve and I think there there's

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Speaker 3: no question on that.

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Speaker 2: The second piece though, on.

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Speaker 3: The speed part of the actual battlefield, I think that

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Speaker 3: becomes very important, particularly as we look at the race

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Speaker 3: with China that we often hear about. I mean, you

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Speaker 3: see that in two directions, right. One, I think is

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Speaker 3: just the economics of it. Right, one third of the

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Speaker 3: S and P five hundred is constituted around that mag seven,

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Speaker 3: the Magnificent seven, our biggest seven tech companies.

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Speaker 2: And so just on an economic scale, we see that

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Speaker 2: we saw what deep seeks.

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Speaker 3: Our one model did from China in that one day

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Speaker 3: wipeout in American history for one single company, and that

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Speaker 3: was in Nvidia at about six hundred billion dollars. So

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Speaker 3: on the economic side, it becomes very important to win.

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Speaker 3: On the military side though, we know that you know,

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Speaker 3: China has said and put down a marker from twenty

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Speaker 3: seventeen to twenty thirty they want to have be dominant

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Speaker 3: in this space. So you're absolutely right that we can

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Speaker 3: gain those efficiencies. But if we have that leadership push

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Speaker 3: to really accelerate on the military side, both in terms

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Speaker 3: of logistics as well as battle field dominance, and I

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Speaker 3: think all that accrues economically.

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Speaker 1: From your research, how many countries are potentially at the

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Speaker 1: cutting edge of developing artificial intelligence.

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Speaker 3: Yeah, there are many players, but thankfully right now the

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Speaker 3: American enterprise labs are in the lead, and we will

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Speaker 3: hope to maintain that lead. China is usually referred to

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Speaker 3: as the major dominant competitor in that space in that regard,

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Speaker 3: and there really are right. It's not that other countries

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Speaker 3: don't have AI labs that are efficient and are doing

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Speaker 3: good work, but honestly, quite frankly, their regulatory schema has

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Speaker 3: really slowed those other countries who have pursued a more

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Speaker 3: regulation heavy approach as opposed to our lighter.

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Speaker 2: Touch with that. Now China doesn't really have to worry.

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Speaker 3: Hijingping sort of has a one way decision making change.

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Speaker 2: Obviously, we do not want.

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Speaker 3: To pursue a CCP authoritarian style surveillance state or anything

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Speaker 3: like it. But nevertheless, that's why we often hear, you know,

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Speaker 3: leaders like Sam Altman, must Off of Suliman, Dario Amide

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Speaker 3: and others frame it around China because they do know

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Speaker 3: that that's their main competitor.

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Speaker 1: It strikes me that one of the side effects of

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Speaker 1: AI maybe that it actually empowers kind of middle level

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Speaker 1: countries with levels of capability they could never have gotten otherwise.

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Speaker 1: I'm wondering to what extent we're going to see sort

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Speaker 1: of mid sized countries actually have very formidable military by

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Speaker 1: the application of this kind of artificial intelligence.

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Speaker 3: Yes, mister speaker, I mean, you're the ultimate historian, and

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Speaker 3: you could probably explain it even deeper. But one of

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Speaker 3: the things you're hitting on is so important. The democratization

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Speaker 3: of artificial intelligence is going to be a force multiplier

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Speaker 3: for people that are either restrained because of scale of

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Speaker 3: technological limits and or budgetary limits, and so in that way,

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Speaker 3: it becomes a catapult, right. It gets you more for less.

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Speaker 3: It helps you to be able to do more with less,

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Speaker 3: and that's both militarily as well as in things like education.

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Speaker 3: For example, I mean having AI tutors for a developing

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Speaker 3: country for a ninety nine dollars tablet and having the

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Speaker 3: ability to have machine learning improvements that's going to really

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Speaker 3: give gains and real opportunities there as well.

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Speaker 2: So I think you're exactly right now.

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Speaker 3: The darker side, of course, is it also will potentially

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Speaker 3: that democratization that bringing that cost scale down and access

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Speaker 3: will also obviously enable the potential for non state actors

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Speaker 3: to use AI, whether you're talking about the propaganda side

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Speaker 3: and deep bakes, which we've just been seeing right now.

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Speaker 3: Happen in real time or the actual building biological chemical weapons.

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Speaker 3: When you have PhD level intelligence and an unmetered level

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Speaker 3: of intelligence, relatively low costs, with reasoning models and advanced

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Speaker 3: models and AI, then you would have if you had determined,

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Speaker 3: you know, jihadis forces or things of that sort, greater fears.

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Speaker 3: The other thing, of course, is with drones and facial

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Speaker 3: recognition technology, now you're able to do what would have

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Speaker 3: taken a ten x component in budget and skill levels

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Speaker 3: for far less and so it really is going to

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Speaker 3: be like you know, fire, you can either help warm

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Speaker 3: a civilization or earn it down, who uses it and

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Speaker 3: how they decide.

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Speaker 2: But you're absolutely right.

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Speaker 3: Those middle and lower tier countries or actors or groups, they're.

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Speaker 2: Going to now have a lot more power for a

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Speaker 2: lot less money.

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Speaker 1: Next we're going to discuss the power of artificial intelligence

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Speaker 1: in modern warfare. I look at things like the Ukrainian

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Speaker 1: use of underwater drones. You have a fifty thousand dollars

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Speaker 1: drone taking out a thirteen million dollar ship. It's something

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Speaker 1: we have to worry about. I mean, we've had a

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Speaker 1: tendency to go to very very big, very very expensive

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Speaker 1: ships and we only have a handful of aircraft, if

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Speaker 1: you certainly run into an opponent who has an ability

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Speaker 1: to get through your various defenses. And part of the

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Speaker 1: challenge there is cost. I mean, there are drones out

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Speaker 1: there between five and fifty thousand dollars being shot at

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Speaker 1: by missiles that cost a million dollars. You can't sustain

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Speaker 1: that exchange rate.

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Speaker 3: That's exactly right, Palmer Lucky at Anderil talks about that

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Speaker 3: a lot. When you look at how much money If,

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Speaker 3: like you say, if you're sending a million dollar missile

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Speaker 3: to knock down something that you know is fifty thousand dollars,

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Speaker 3: that math doesn't work in your favor very long. And

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Speaker 3: I think it also encourages us to really stay at

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Speaker 3: that bleeding edge and realize that we've got to innovate

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Speaker 3: in these spaces because this battlescape is moving very quickly.

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Speaker 1: I'm going to give you two problems. One that are

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Speaker 1: procurement systems are designed to match the speed of evolution

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Speaker 1: that we're seeing with artificial intelligence. And second that artificial

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Speaker 1: intelligence is potentially going to create an entirely new scale

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Speaker 1: of mass that is the opposite of how we've designed

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Speaker 1: our war fighting capabilities. These are both that seems to

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Speaker 1: me really really big challenges for the United States.

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Speaker 2: I couldn't agree with you more, mister speaker.

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Speaker 3: You want to think of being able to sprint and

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Speaker 3: chew gum at the same time.

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Speaker 2: But I think you're right. The calcification of a lot.

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Speaker 3: Of institutional sort of inertia that sets in prevents some

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Speaker 3: people from being able to give up certain turf and

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Speaker 3: so forth. I think we have to have this speed

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Speaker 3: mindset that you're talking about.

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Speaker 2: And I'm not suggesting.

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Speaker 3: For a minute that you know we're going to do

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Speaker 3: away with any of what exists in totality, but I

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Speaker 3: think we can be doing both.

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Speaker 2: And when you look.

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Speaker 3: At the fact of how fastest is moving, I mean,

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Speaker 3: just look at even with what AI's architects, the way

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Speaker 3: they describe their own technology that Sam Altman says there

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Speaker 3: is a private betting pool among the AI billionaires of

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Speaker 3: who will create the first one person billion dollar company.

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Speaker 3: Now what does that suggest to you?

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Speaker 2: Right? It suggests that you can do so much more

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Speaker 2: with so much less.

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Speaker 3: And I think that if we know our enemies are

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Speaker 3: thinking that way, then we want to be thinking about

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Speaker 3: that so that we can get in front of that

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Speaker 3: curve instead of stay behind it. I think the other

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Speaker 3: thing that you're talking about is even within the procurement process, right,

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Speaker 3: let's take away weapons outside of it for a moment,

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Speaker 3: just the actual flow of being able to spot fraud,

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Speaker 3: double billing, cost cutting, all of that, and I go

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Speaker 3: through actually in code read how we can do that

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Speaker 3: and we should do that. Did a lot of research

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Speaker 3: into that procurement process. That alone will provide enormous savings

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Speaker 3: that we can then use to do the kind of

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Speaker 3: innovations that you're talking about or put back into general

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Speaker 3: budgetary usage. So I think that we've got to get

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Speaker 3: in that mindset. I mean, one of the things I

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Speaker 3: have been a little bit encouraged by the President's AI

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Speaker 3: Action Plan that we saw the twenty twenty five AI

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Speaker 3: Action Plan that came out get very specif pillars inside

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Speaker 3: of that plan, and they were talking about this need

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Speaker 3: to be able to move quickly on this because nothing

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Speaker 3: matters more than our national security, for the safety of

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Speaker 3: our country and uncertainly our soldier sailor Zeeroman and marines.

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Speaker 3: So we I think recognize this has to happen. I

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Speaker 3: think it's going to really take people like yourself and

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Speaker 3: others who are able to speak that language with authority

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Speaker 3: to really explain this five D chess matrix and why

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Speaker 3: we need to be doing this.

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Speaker 1: When you think about all that, a couple big issues,

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Speaker 1: as you know, one is this question about truly autonomous weapons.

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Speaker 1: Given your studies, where do you come down on the

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Speaker 1: development of genuinely autonomous systems.

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Speaker 2: Well, I would love your historical background.

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Speaker 3: One of the fascinating things that comes through in the

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Speaker 3: research is, you know, autonomous weapons, depending on how you're

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Speaker 3: defining autonomous weapons have been around for a long time.

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Speaker 3: And one of the things that Palmer Lucky says is

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Speaker 3: that he had this great phrase. He says, you know,

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Speaker 3: I don't think there's a lot of moral authority in

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Speaker 3: a landmine, in other words, something that can be stepped

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Speaker 3: on and activated without a human input that is taking

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Speaker 3: a human life or God forbid, one of our own.

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Speaker 2: So I think that the moral consequence needs to be there.

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Speaker 3: I think that, you know, having a kill switch is

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Speaker 3: very much a part of that sort of baked in situation,

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Speaker 3: but being able to go to full auto. One of

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Speaker 3: the things that was fascinating when you really look at

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Speaker 3: what defense experts will tell you, and you study this,

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Speaker 3: they say, Look, if we're in a metaphorical gunslinger duel

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Speaker 3: and one side has the equivalent of a metaphorical ICBM,

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Speaker 3: in other words, a full auto and you have a slingshot,

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Speaker 3: if you have to stop and pause to pull that

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Speaker 3: trigger and have the human decision, it's over before it's begun.

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Speaker 3: And so we're going to get into this situation where

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Speaker 3: having to pause and have the human green light. If

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Speaker 3: you're up against an enemy that is in a full

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Speaker 3: auto capacity, you've been neutralized already. I think that's where

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Speaker 3: it's going, and I think that's the reality. Personally, my

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Speaker 3: view would be that, yes, we have to be able

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Speaker 3: to ultimately have kill switches on anything, even if you've

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Speaker 3: decided to go into a full autonomy. And then secondly,

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Speaker 3: I think that we have to recognize that the commander

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Speaker 3: in chief has to have that ability. That's the reason

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Speaker 3: why we haven't banned autonomous weapons, and we've had autonomous weapons,

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Speaker 3: depending upon again how you're defining that for a long time.

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Speaker 3: I think it's very scary to a lot of everyday

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Speaker 3: Americans because we've been taught by Hollywood and Terminator and the.

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Speaker 2: Rest of it.

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Speaker 3: That we're going to have these robots with laser eyes

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Speaker 3: and so forth.

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Speaker 2: And we're seeing that in the polls just last week.

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Speaker 2: I'm sure you saw it, mister speaker.

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Speaker 3: The NBC poll, twenty six percent have a positive view

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Speaker 3: in America of AI. Forty six percent of Americans have

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Speaker 3: a negative view. And so I think there's a communication gap.

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Speaker 3: I think people have to really clearly communicate and very

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Speaker 3: openly handle some of these real, genuine ethical concerns left,

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Speaker 3: right and center, because we have to understand this. You

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Speaker 3: don't get to opt out of the AI race. It's

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Speaker 3: already here. Ninety nine percent of us use AI every day,

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Speaker 3: even though only sixty four percent of people don't realize

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Speaker 3: they're using it because it's baked into the algorithms of life.

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Speaker 3: So I think that Silicon Valley has got its communication

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Speaker 3: work cut out for them, because I don't think they've

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Speaker 3: really explained a lot of this.

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Speaker 1: It's I think, very challenging to get across to people

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Speaker 1: the sheer scale of change that we see coming down

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Speaker 1: the road on every front. And one of the reasons

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Speaker 1: that I thought it was really so important that you

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Speaker 1: wrote code read the left, the right, China and the

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Speaker 1: race to control a eye. You're describing what maybe the

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Speaker 1: most important change agent of the next half century, and

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Speaker 1: people got to get that into their heads.

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Speaker 3: I've written many books as a ghostwriter, and I honestly

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Speaker 3: didn't want to write this book.

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Speaker 2: I felt compelled to.

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Speaker 3: I think that when you look at conservatism, you know,

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Speaker 3: William F. Buckley, the job of a conservative is the

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Speaker 3: standard thwart history, yelling stop. I think it's sadly some

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Speaker 3: on our side think that men's technology, and of course

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Speaker 3: it didn't.

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Speaker 2: You know, he was referring to.

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Speaker 3: The preservation of order and tradition and conservative values. So

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Speaker 3: I think we've got to get our side coached up

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Speaker 3: as conservatives, but even more than conservatives, I just think

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Speaker 3: everyday people, this is a seismic shift, and the disruption

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Speaker 3: we're going to see and the opportunity and the pitfalls

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Speaker 3: and all that comes with it in the next five

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Speaker 3: years is going to be unlike anything we've ever seen.

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Speaker 3: And so the speed issue is going to be the

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Speaker 3: real issue, because when you look at the industrial revolution, right,

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Speaker 3: there was time. It took time to lay roads and

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Speaker 3: build factories and electrification and so forth. Every person in

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Speaker 3: America has the phone, and so the speed with which

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Speaker 3: the proliferation of artificial intelligence can spread has been deeply accelerated.

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Speaker 3: And I think yes, people do learn over time how

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Speaker 3: to adapt to disruption, as the horse buggy goes the

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Speaker 3: way of the car and the candle goes the way

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Speaker 3: of the light bulb. But I think that if you're

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Speaker 3: not prepared and understanding how the ground is going to

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Speaker 3: shift around you in things like education, national security, economics,

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Speaker 3: and so forth, there's going to be a lot of

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Speaker 3: opportunity for ideologically motivated people to do power grabs and

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Speaker 3: to scare and disrupt a lot of people. So this

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Speaker 3: was just a humble attempt to try to get people

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Speaker 3: really thinking about these things.

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Speaker 1: When you look at the Chinese effort, I really want

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Speaker 1: you to comment, from the study you've done, to what

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Speaker 1: degree is their ability to focus resources offset their inability

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Speaker 1: to liberate entrepreneurs to go out and take risks can

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Speaker 1: be wrong.

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Speaker 3: I think that they realize is that it goes back

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Speaker 3: to what you were talking about earlier about the speed

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Speaker 3: and cost efficiencies.

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Speaker 2: China's mindset around.

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Speaker 3: AI is not as focused on this huge we're trying

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Speaker 3: to reach AGI artificial general intelligence or ASI artificial superintelligence

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Speaker 3: it's really about process and function.

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Speaker 2: The way I like to tell people is China kind

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Speaker 2: of thinks of it like a.

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Speaker 3: Toyota, AI like a Toyota, and we're looking at it

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Speaker 3: like a Bugatti, right, or a Ferrari. We're going for

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Speaker 3: the huge wins, and they're looking at supply chain improvements, efficiencies,

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00:24:12,560 --> 00:24:15,440
Speaker 3: things that aren't maybe as sort of razzle dazzle to

441
00:24:15,600 --> 00:24:19,840
Speaker 3: capture the imagination, but in terms of actual functionality, have

442
00:24:19,920 --> 00:24:21,120
Speaker 3: a lot more efficiency.

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00:24:22,520 --> 00:24:26,520
Speaker 1: Coming up, we're going to discuss how ninety Americans are

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00:24:26,520 --> 00:24:30,840
Speaker 1: already using AI in their everyday lives. When will explain

445
00:24:31,200 --> 00:24:40,359
Speaker 1: what he means by that? Next, when you say something

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00:24:40,560 --> 00:24:45,520
Speaker 1: which is I'm certain true, you said that nine percent

447
00:24:45,560 --> 00:24:49,880
Speaker 1: of Americans already use AI. Walk as through that. I'm

448
00:24:49,920 --> 00:24:53,399
Speaker 1: certain you're right, But I want to hear your version

449
00:24:53,480 --> 00:24:56,639
Speaker 1: of what are the ways in which normal, everyday people

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00:24:57,000 --> 00:25:00,000
Speaker 1: are already immersed in artificial intelligence.

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Speaker 2: Mister speaker.

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00:25:00,920 --> 00:25:04,000
Speaker 3: It's so important when I encounter my friends or family,

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00:25:04,080 --> 00:25:06,159
Speaker 3: or somebody at church or something and they have a

454
00:25:06,240 --> 00:25:08,080
Speaker 3: sort of negative disposition toward AI.

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00:25:08,520 --> 00:25:10,240
Speaker 2: I just asked them, well, did you use a weather

456
00:25:10,280 --> 00:25:13,280
Speaker 2: app today? Did you use a movie streaming service?

457
00:25:13,400 --> 00:25:15,800
Speaker 3: Over the weekend with the family to watch a family movie.

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00:25:16,000 --> 00:25:18,200
Speaker 2: Did you use your GPS.

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00:25:17,640 --> 00:25:19,359
Speaker 3: When you went fishing on that trip and you had

460
00:25:19,400 --> 00:25:21,600
Speaker 3: to get around to go to the lake And.

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00:25:21,400 --> 00:25:23,480
Speaker 2: They say, well, of course, you know, of course I did.

462
00:25:23,720 --> 00:25:25,680
Speaker 2: I say, well, guess what you used AI?

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00:25:25,840 --> 00:25:29,040
Speaker 3: And that's generally depending on what application referred to as

464
00:25:29,160 --> 00:25:32,320
Speaker 3: narrow AI. It doesn't necessarily mean they were using generative AI.

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00:25:32,680 --> 00:25:35,720
Speaker 3: But I think it helps people to understand. Look, we've

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00:25:35,800 --> 00:25:39,560
Speaker 3: had since nineteen fifty since and Macarthy's term in the

467
00:25:39,560 --> 00:25:44,080
Speaker 3: public facing term artificial intelligence. So artificial intelligence has been

468
00:25:44,119 --> 00:25:47,240
Speaker 3: with us for a long time, but obviously it has

469
00:25:47,280 --> 00:25:50,640
Speaker 3: progressed enormously in recent The reason why it's ninety nine

470
00:25:50,680 --> 00:25:54,439
Speaker 3: percent is because it's baked into the daily algorithms that

471
00:25:54,600 --> 00:25:57,239
Speaker 3: power and so when you see someone on Twitter X

472
00:25:57,359 --> 00:25:59,920
Speaker 3: or on Facebook say I hate AI, the grand iron

473
00:26:00,240 --> 00:26:04,280
Speaker 3: is AI is what's allowing them to communicate that message.

474
00:26:04,440 --> 00:26:05,760
Speaker 2: What I was mentioning.

475
00:26:05,400 --> 00:26:09,560
Speaker 3: Too, is that sixty four percent of people can't identify

476
00:26:09,640 --> 00:26:12,040
Speaker 3: when they're using AI because they don't really think of

477
00:26:12,240 --> 00:26:15,160
Speaker 3: AI in that kind of daily life. So I think

478
00:26:15,200 --> 00:26:18,400
Speaker 3: it's important for us to understand there are real land

479
00:26:18,440 --> 00:26:23,720
Speaker 3: mines and real challenges ethically, morally, in security, personally, I

480
00:26:23,760 --> 00:26:26,080
Speaker 3: think politically in the bias space is going to be

481
00:26:26,080 --> 00:26:28,800
Speaker 3: a real big battle. But it's also important to recognize

482
00:26:28,800 --> 00:26:31,560
Speaker 3: there are roses of opportunity and that maybe it's not

483
00:26:31,640 --> 00:26:33,879
Speaker 3: as scary as your thought, because quite frankly, you've been

484
00:26:33,920 --> 00:26:35,600
Speaker 3: using AI for quite a while.

485
00:26:36,119 --> 00:26:39,359
Speaker 1: You get so used to things. I'm told I don't

486
00:26:39,440 --> 00:26:42,160
Speaker 1: understand this exactly, but I'm told that there is an

487
00:26:42,200 --> 00:26:48,800
Speaker 1: exquisite timing system worldwide which enables your automatic teller machine

488
00:26:48,800 --> 00:26:52,440
Speaker 1: to work, and that if that timing system wasn't there,

489
00:26:52,760 --> 00:26:56,480
Speaker 1: you literally couldn't match up around the world. I've been

490
00:26:56,520 --> 00:26:59,479
Speaker 1: in places in rural Africa where I got money out

491
00:26:59,520 --> 00:27:02,560
Speaker 1: of an at it sort of works, which, also, by

492
00:27:02,600 --> 00:27:06,520
Speaker 1: the way, is a reminder that in certain kinds of conflicts,

493
00:27:06,920 --> 00:27:10,840
Speaker 1: you may have an attack on the very structure of

494
00:27:10,880 --> 00:27:14,119
Speaker 1: how you live, where the ATMs don't work, the phones

495
00:27:14,160 --> 00:27:17,359
Speaker 1: don't work, GPS doesn't work, And that's part of why

496
00:27:17,760 --> 00:27:20,440
Speaker 1: we have to continue to invest, I think, in being

497
00:27:20,440 --> 00:27:23,040
Speaker 1: able to defend ourselves. I have to say this has

498
00:27:23,080 --> 00:27:26,760
Speaker 1: been exhilarating. You've given me a whole bunch of new ideas. Now, well,

499
00:27:26,840 --> 00:27:29,360
Speaker 1: I want to thank you for joining me. Your new book,

500
00:27:29,840 --> 00:27:32,440
Speaker 1: code Read the Left, The Right, China and the Race

501
00:27:32,520 --> 00:27:36,000
Speaker 1: to Control Ai, is available now on Amazon and in

502
00:27:36,000 --> 00:27:39,960
Speaker 1: bookstores everywhere. I really appreciate you taking the time to

503
00:27:39,960 --> 00:27:40,439
Speaker 1: be with us.

504
00:27:40,720 --> 00:27:42,840
Speaker 2: Thank you so much, mister Speaker. It's such an honor.

505
00:27:52,680 --> 00:27:55,160
Speaker 1: And now I'm pleased enderduce a new segment in news

506
00:27:55,200 --> 00:27:58,879
Speaker 1: World where I answer listeners questions. To ask a question,

507
00:27:59,240 --> 00:28:03,400
Speaker 1: please email me at newt at ginistre sixty dot com

508
00:28:04,280 --> 00:28:07,879
Speaker 1: as an Inner Circle member. William asks, mister Speaker, my

509
00:28:08,000 --> 00:28:11,480
Speaker 1: question is about Iran. The first objective should be the

510
00:28:11,520 --> 00:28:15,240
Speaker 1: removal of all uranium. I suggest that the Israelis be

511
00:28:15,320 --> 00:28:17,639
Speaker 1: given this task and that they get to keep the

512
00:28:17,760 --> 00:28:23,040
Speaker 1: uranium that they capture. Qualm is the theological capital. Removing

513
00:28:23,080 --> 00:28:27,320
Speaker 1: the libraries and the scholars is essential. What is the

514
00:28:27,359 --> 00:28:30,000
Speaker 1: support for the regime in the eastern part of the

515
00:28:30,040 --> 00:28:33,960
Speaker 1: country among other ethnic groups there. It's a lot of

516
00:28:33,960 --> 00:28:36,840
Speaker 1: different questions, William. Let me just say first of all

517
00:28:37,280 --> 00:28:40,920
Speaker 1: that I think we are either going to capture the

518
00:28:41,080 --> 00:28:44,640
Speaker 1: uranium or we're going to bury it so deep that

519
00:28:44,720 --> 00:28:47,200
Speaker 1: it will not be reachable in the next twenty or

520
00:28:47,280 --> 00:28:50,400
Speaker 1: thirty years. And I think the question there is how

521
00:28:50,520 --> 00:28:53,600
Speaker 1: risky is it to go in and get the uranium. Remember,

522
00:28:53,600 --> 00:28:56,600
Speaker 1: it weighs a pretty good amount. It's difficult to handle,

523
00:28:57,040 --> 00:28:59,360
Speaker 1: and you can't just run in the way we did

524
00:28:59,360 --> 00:29:02,479
Speaker 1: with Maduro, pick up two human beings and hustle them

525
00:29:02,480 --> 00:29:05,520
Speaker 1: out of the country. So it's a significant question, and

526
00:29:05,640 --> 00:29:07,360
Speaker 1: there's a question of do you really want to take

527
00:29:07,720 --> 00:29:11,000
Speaker 1: casualties if you can just stand off and balm them

528
00:29:11,040 --> 00:29:15,440
Speaker 1: so much that they're literally physically not reachable. Qualm is

529
00:29:15,440 --> 00:29:19,080
Speaker 1: the theological capital. I think it's very dangerous to get

530
00:29:19,120 --> 00:29:22,719
Speaker 1: involved in people's religions and it creates a level of

531
00:29:22,720 --> 00:29:27,320
Speaker 1: emotion and a level of natural support that would not

532
00:29:27,360 --> 00:29:31,120
Speaker 1: necessarily be there otherwise. So I'd be very cautious about

533
00:29:31,160 --> 00:29:35,680
Speaker 1: any activity aimed at the religious centers. You ask about

534
00:29:35,760 --> 00:29:38,240
Speaker 1: the regime in the eastern part of the country, there's

535
00:29:38,240 --> 00:29:42,160
Speaker 1: a real question about that. Very high percent. Almost half

536
00:29:42,440 --> 00:29:45,800
Speaker 1: of the people in Iran are not Persians. They come

537
00:29:45,840 --> 00:29:51,920
Speaker 1: from Kurds, Azrabanis and other ethnic groups, including some Bulukis

538
00:29:51,960 --> 00:29:56,440
Speaker 1: from Pakistan in the southwest part of the country. The

539
00:29:56,480 --> 00:30:00,320
Speaker 1: potential is always there for them to spin apart, then

540
00:30:00,360 --> 00:30:03,560
Speaker 1: to decide that they want some kind of separatist movement,

541
00:30:04,080 --> 00:30:07,520
Speaker 1: but at the moment the dominant force is still the

542
00:30:07,960 --> 00:30:12,120
Speaker 1: slight majority that are Persians, and I suspect on the

543
00:30:12,120 --> 00:30:14,440
Speaker 1: one hand, they'd like to hearrid of the dictatorship. On

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00:30:14,480 --> 00:30:16,560
Speaker 1: the other hand, they want to keep a run as

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00:30:16,600 --> 00:30:20,160
Speaker 1: a single country. So it's a tightrope we're having to walk.

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00:30:21,000 --> 00:30:23,120
Speaker 1: I look forward to hearing from you, and you can

547
00:30:23,200 --> 00:30:27,040
Speaker 1: ask a question by just emailing me at Newt at

548
00:30:27,080 --> 00:30:30,200
Speaker 1: Gingish three sixty dot com. Thank you to my guest,

549
00:30:30,280 --> 00:30:34,320
Speaker 1: Wynton Hall. Newtsworld is produced by Gingrish three sixty and iHeartMedia.

550
00:30:34,920 --> 00:30:39,240
Speaker 1: Our executive producer is Guardnsey Sloan. Our researcher is Rachel Peterson.

551
00:30:39,800 --> 00:30:43,080
Speaker 1: Special thanks to the team at Gingish three sixty. If

552
00:30:43,120 --> 00:30:45,760
Speaker 1: you've been enjoying Newtsworld, I hope you'll go to Apple

553
00:30:45,800 --> 00:30:49,080
Speaker 1: Podcasts and both rate us with five stars and give

554
00:30:49,160 --> 00:30:51,880
Speaker 1: us a review so others can learn what it's all about.

555
00:30:52,520 --> 00:30:56,040
Speaker 1: Join me on substack at Gingish three sixty dot net.

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00:30:56,400 --> 00:30:58,800
Speaker 1: I'm Newt Gingrich. This is Newsworld