the value is coming in so high

okay it's a really important so let's take it in the two ways you did your two buckets let's start with Elon and SpaceX there you're talking about a lot of things around you know obviously a world-class rocket builder but also you know the satellites and and just space and in tech in general so think about this Elon wants to put data centers in space We know this is a huge, massive debate around data centers in my backyard, and he's playing a longer tail game.

And so if you're looking at and you're saying, okay, here's a guy who's built the chopsticks that grab when the rocket booster comes down.

Here's the guy who just had a flying car.

If he's going to be able to put his marker down on moving data centers into space, also satellites, Intel, rocket community, all of space, then...

That's a longer play.

And you say, man, this guy can build.

What's the story here and what do you think it means?

Um, I have a place that I'd like to start, but where do you think we should start in this moment?

Well, Mike, I think that what you just said is actually really, really important.

And that's part of where the heist of history is going to happen, which is the people who have been building this project, which I lay out and spent years looking into this, have done Yeoman's work.

They have spent years and billions of dollars building this moment.

And what I try to do is give people the lexicon and understand the chess moves that are happening.

But part of the secret sauce, part of the magic trick and the misdirection is the speed, because they know that if they can jam these things through and get the power levers in place, regulatory and otherwise, then they can run the table.

And I think that one of the biggest things that you should begin with is just the most basic thing, which is AI is not just a tool.

But can I, what is anthropic?

So we just need the right people getting to it first and controlling it

first.

And I think that this generation, especially young conservatives, this can be a catapult.

It doesn't have to be quicksand that sinks us.

It can give us access to tools and ways of messaging and storytelling and just information and research that can actually be a great benefit.

Yeah.

But we also have to be very very aware of all these landmines and you know You brought up we were talking before about you know, the faith side of it and I think this is actually one of the things that I'm most concerned about is the existential side Elon Musk says that the thing he worries about is What the coming crisis of meaning if in fact AI is able to outpace us in intellect in jobs What does that do to people's sense of who they are and their identity? Not that we're defined by our jobs, but I think do thy work as unto the Lord, having the Protestant work ethic that has served us so well, particularly for young men as well, because you think about so many of the pathologies that young men fall into of addiction, violence, drug use, gangs.

Okay, so what do faithful Christians, faithful conservatives do over the next couple of years to just push back against this while still embracing what you call the roses?

I guess, where do you see the political donations as a signifier for the likelihood of them being allied on key issues? Oh,

it's so important, Eric.

So, I mean, nobody follows the money better than Peter Schweitzer, GAI.

That's what we've done throughout GAI's history.

Let's get a quick snapshot of this because I think it's really important.

We're talking hundreds of millions of dollars going into this midterm election.

And really, there are a lot of groups, as you know, dark money groups are like shell games.

Are they doing it just by stealing our technology? Or is there something that we're missing in the race? And are they really close and actually passing? It's a really important question.

How do we prevent being brainwashed by AI, either deployed domestically or from abroad?

Yeah.

So on the domestic side, there is a real concern about bias.

Um, every peer-reviewed academic journal article, which is kind of amazing when you think about it, right? I mean, academia is not exactly right-leaning, has found a left-leaning political bias in modern LLMs, in, in enterprise level in, in LLMs, large language models.

And so you have this, uh, sort of thumb on the scale.

Now, I think that that is gonna only get worse as you see the pendulum swing politically because they know that they are incumbent upon the administration for regulatory approvals, for their energy build-outs, their data centers, and the so forth.

So on the domestic side, the concern is that A, uh, that AI is used as a political weapon, uh, for bias, even far beyond the bias that we have seen traditionally in mainstream, uh, establishment news.

Yeah.

Am I wrong, Wynton?

No, you're exactly right, Dan, and it's a good thing we are because we have to win this race.

As I say in Code Red, we've got to beat China without becoming China.

Look, none of us want to live in a techno-authoritarian CCP surveillance state.

We don't want to emulate them, but we need to beat them, and there's two reasons, and you had your finger right on it.

Number one is the economics.

Look, 40% of this S&P 500 is constituted around our seven biggest tech companies.

Fill me in on that lawsuit.

Are we gonna have so much money, we don't know what to do with it? Or is this gonna be one of those things, like the Internet, where we just create all sorts of new addictions and terrible ways to use our time and just lose in, lose touch with our humanity? What is it, and how do we avoid the latter scenario?

Yeah, I mean, I think the first thing to, to understand is that ninety-nine percent of us use AI every day, even though sixty-four percent of people don't realize that we're using AI because it's baked into the algorithms that power everything from our weather apps to our streaming services and so forth.

So if we're already using it, the question is, how can we seize the upside, what I like to call the roses of AI, and avert the landmines? And there are many of both.

And, and so I'm not on the side, uh, that says that it's all apocalyptic doom by any stretch.

But we would be absolutely foolish, particularly conservatives, if we thought that the most powerful information weapon was gonna be laid on the battlefield of ideas and that the left wasn't going to politically weaponize that.

We know that big tech traditionally, uh, has not been a friend of conservatives with the demonetizing, the, the silencing, the scan and ban technology, and the rest.

And the fact that, uh, political donations, eighty-five percent of Silicon Valley, traditionally, donations flow to, uh, the left side of the political aisle.

But, I, I mean, how are the next generation gonna get any job experience whatsoever?

I'll, I got some clips to play, Winton, but give me your unified field theory on what's going on here.

Yeah, it's, I've never...

You know, I've been in messaging a long time.

I've never seen worse messaging from big tech, and we'll talk about that.

Some of that's actually by design to create negative, uh, views so that it will redound to regulatory capture.

[laughs] But, um, one of the things that I think is, is demonstrably true is people don't like AI right now.

I mean, the numbers speak for themselves.

This guy is very bizarre.

Yeah.

Nobody wants to live in a techno authoritarian surveillance state like the CCP.

We're not in any way saying that we wanna emulate that by any stretch.

I actually think there's a little bit more bipartisan understanding of why we need to do it, but let me just lay out the two reasons.

One is the economic.

One third of the S&P five hundred is made up of the Mag Seven, the Magnificent Seven, those seven big tech, uh, big American companies that obviously occupy a lot of the AI space, okay? So that's a huge el- wealth part of it.

On the other hand of the wealth side, we saw what happened when NVIDIA got rocked, America's NVIDIA, six hundred billion dollar market cap wipe out because of DeepSeek, China's AI model, when R1 dropped.

Yeah

Why is that battle so important?

Such a smart question.

So let's get into that.

So the first thing is, I'm actually very heartened.

There's more of a bipartisan understanding now that we do have to beat China.

What I say in Code Red is we want to beat China without becoming China.

Nobody wants to live in a techno-authoritarian CCP surveillance state at all.

What is that? It's obviously programmed in, right? Yeah.

distinction right there.

Yeah, you're so right.

We do not want to live in a techno-authoritarian surveillance state like the CCP.

On the other hand, there are two main reasons that everybody needs to understand why we have to beat China.

The first is because of the economics.

One-third of the S&P 500 is constituted around America's MAG-7, magnificent seven, those big seven tech companies, which obviously occupy so much of the AI space.

And so we have an enormous boon for economics there.

But where are you seeing that AI is going to be a real benefit to humanity?

These are both, it seems to me, really, really big challenges for the United States.

I couldn't agree with you more, Mr.

Speaker.

You wanna think of being able to sprint and chew gum at the same time, but I think you're right.

The calcification of a lot of institutional sort of inertia that sets in prevents some people from being able to give up certain turf and so forth.

I think we have to have this speed mindset that you're talking about.

And I'm not suggesting for a minute that, you know, we're gonna do away with any of what exists in totality, but I think we can be doing both.

Given your studies, where do you come down on the development of genuinely autonomous systems?

How bad is the bias or are we overblowing the bias, Wynton?

We're not overblowing it, Grant.

It's actually the opening chapter of Code Red.

And what I did was I spent two years going through every study, every white paper, every peer-reviewed academic journal article.

And one of the most staggering findings is that even left-leaning academia concedes that there is an inherent bias toward the left politically in large language models, LLMs.

And so it's based on the training data, which is mostly made up of things like Wikipedia, which leans left, Reddit, which leans left, something called the Common Crawl, which is a public data set, and then a lot of the academic literature as well.

So it's baked in, the bias.

Why do I need to learn how to write a paper? I have chat GPT that can do it.

Right

... you know, biased.

In fact, the whole opening chapter of Code Red is all about political bias and how it's baked into the training data of most modern LLMs, large language models.

Um, and I think the other thing, too, is just on the economic front, you know, we all are hearing all these dire predictions, and just to take the names, Will, that you were just mentioning.

So Elon says that AI is a "supersonic tsunami," quote, unquote, coming at humanity.

Dario Amodei, who you just mentioned from Anthropic, says that in the next 12 months, right? This is not, like, some, you know, way into the future.

In the next 12 months, we're looking at a 50% wipeout of white-collar, entry-level jobs.

We can't lose to our winner.

What do you think?

Well, I think there's a couple of things there, right? So Jensen Wong, the head of the richest company that's ever existed, NVIDIA, he likes to say that you won't lose your job to AI, but you will lose your job to someone who knows how to use AI.

And that's kind of to your point that you have to be prepared and ready.

I think the second thing is, you know, right now we're hearing some very, very apocalyptic news.

predictions from the very people who are building the technology.

Dario Amadei at Anthropic says that within the next 12 months to five years that we're looking at wiping out 50% of entry-level white-collar jobs.

That's known as recent college graduates.

Now, tell me about J.D. Vance and how he comes down on all this.

So Code Red gets into this, and particularly the crisis we're gonna f- face on job creation, and particularly high value added job creation that people can really build a family of four around, sir.

Yes.

I mean, one of the things we all remember was Rahm Emanuel, "Never let a crisis go to waste." I think we really have to understand the political power game that's being played here.

So sometimes you hear from the conservative movement, "Oh, this is all hype.

It's just marketing.

You're trying to raise capital, investment and so forth." And, you know, we've heard in the Industrial Revolution, uh, that, you know, all of this was going to be a disruption, and it ended up creating more jobs.

It's the lump of labor fallacy.

[laughs]

And particularly the crisis we're going to face on job creation and particularly high value added job creation that people can really build a family of four around, sir.

Yes, I mean, one of the things we all remember was Rahm Emanuel, never let a crisis go to waste.

I think we really have to understand the political power game that's being played here.

So sometimes you hear from the conservative movement, oh, this is all hype, it's just marketing, you're trying to raise capital investment and so forth.

And we've heard in the industrial revolution that all of this was going to be a disruption and it ended up creating more jobs.

It's the lump of labor fallacy.

I think what we need to understand is it almost doesn't matter which way this turns out because it can be weaponized to build support for universal basic income and that fear and panic.

Wynton, where do people go to find everything about what you're doing on this book?

And I spent time with Scott Besson on the ground in Minneapolis at the Economic Club uh also up at cambria quartz uh big man million and a half foot manufacturing of quartz countertops he was there to talk about somali fraud but he said on botteromo the day or two before um that we lost 55 000 jobs to the ai just last year and it's kind of in its infancy and he's basically like you know get rid of your college degree learn ai right now or you might be out of work what do you think

Well, I think there's a couple of things there, right? So Jensen Wong, the head of the richest company that's ever existed, Nvidia, he likes to say that you won't lose your job to AI, but you will lose your job to someone who knows how to use AI.

And that's kind of to your point that you have to be prepared and ready.

I think the second thing is, you know, right now we're hearing some very, very apocalyptic rumors.

Predictions from the very people who are building the technology.

Dario Amadei at Anthropic says that within the next 12 months to five years that we're looking at wiping out 50% of entry-level white-collar jobs.

That's known as recent college graduates.

Now, tell me about J.D. Vance and how he comes down on all this.

Can you break that down for us, sir? I think you warn about that in your book, don't you?

No, I absolutely do.

And it's something that you've been very strong on.

There's nobody that's stronger on the CCP and understanding the 5D chess game that they're playing.

And it really is going to be a game over compute, right? The GPUs, the graphic processing units.

We've seen this debate over export chip controls.

We've seen the debate with the H200s.

Um, where do they go to get, you've got a great site to give additional content and to point in the direction of where to get the book, where they go.

Can you break that down for us, sir? I think you warn about that in your book, don't ya?

No, I absolutely do, and it's something that you've been, you know, very strong on.

There's nobody that's stronger on the CCP and understanding the 5D chess game that they're playing.

Uh, and it really is gonna be a game over compute, right? The GPUs, the graphic processing units.

We've seen this debate over export chip controls.

We've seen what the debate with the H200s.

Yeah, this is just another example of the end runs that are being done and how you can sneak around, uh, you know, any regulation or any, any kind of control, but obviously, uh, China's determined drive here.

Yeah

But it's here, we're stuck with it, and we better control it, right?

Dan, you're exactly right, and you're right to be concerned.

There are a lot of grave concerns, quite frankly, that we need to be talking about in terms of security.

One of the biggest things is that the democratization of this technology, meaning its access is getting wider, its prices are getting cheaper, that means, on the one hand, Yeah, more people could use it to build businesses or do something positive.

But for non-state actors and people with bad intentions, that means that the price of doing damage, whether it is propaganda, terrorist recruitment, or actual targeted attacks, whether you're talking about biochemical or otherwise, is going to increase because the costs have become very, very low.

So now you have you know, in cases of PhD level weapons, chemical information accessible, you have for people that used to never have access to that very, very low cost.

So you're absolutely right to be concerned.

How the heck do we even tell what's real and fake anymore, Wynton?

We're manipulating you by taking your money.

Exactly.

Exactly.

Um, and so I, I, I, I don't pretend that we in America don't have a similar problem, but when you're talking about using facial recognition for genocide against the Uyghurs, okay, by the CCP, when you're talking about being able to surveil with a drone with facial recognition technology to find a dissident on the ground and either imprison or eliminate them, that is a little different, uh, than the way, thankfully, so far we've ever seen American usage, you know, in a direct, uh, authoritarian way like that.

Now, we've always gotta be maintaining that, uh, a readiness and awareness.

I think that privacy is gonna continue to be a real concern.

I think that, that surveillance capability is a very real concern.

Where is the discussion with UBI and where are the AI, uh, agents on that?

Mm

... um, uh, Hyde-Smith, and Hawley, and then they threw in the others.

And this...

What people have to understand, this is not just getting something wrong, okay? This is actually weaponizing election p- political information against one side exclusively.

And here's why this is infuriating.

Everybody in the War Room Posse, all Americans, we- our tax dollars go to the tunes of billions of dollars in contracts to Google, and yet they have anathematized against half of the nation's values and beliefs.

That's outrageous.

What do you mean by that?

So what's an LOM and why is that important?

Brilliant.

LLM is large language model.

This is like your chatbot when you hear people talk about like chat GPT.

And in this case, we're talking about Google, one of the biggest far left offenders and their chatbot.

And it is named Gemini.

And they have a functionality called deep research.

What do you mean by that?

Why do you believe that the competition between the United States and China over AI is, um, as consequential as the nuclear arms race during the Cold War?

No, that's a great question, Lisa.

So a lot of times when we hear this, "Oh, we've gotta beat China in AI," and people say, "Well, that's probably these AI frontier labs trying to use th-this, making what their product is seem more important so they can raise capital from investors and so forth, or get big contracts from the Defense Department and so forth." And I'm sure that's absolutely true.

Two things can be true at the same time, right? I, there's no doubt that these are businesses.

On the other hand, when you really dive deep, particularly into the national security and military and intel worlds, what they will tell you is this: [sighs] there's something known as recursive self-improvement, RSI.

Now what is that? It's real simple.

It's the idea that we're going to potentially hit a point when AI can correct itself, improve itself, rewrite its own code, and do that all autonomously.

How far away are we from, like, fake AI videos being indistinguishable from real? And, and then how do you determine [chuckles] and how will the public determine it, particularly when, you know, you look at elections or politics or maybe even other countries?