Manhattan Project 2.0: The Home Front Fight for AI | 1.2.26
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What is the New Manhattan Project and why is the U.S. government treating AI as a national security priority?
As part of their effort to achieve AI dominance, the Trump administration has launched the New Manhattan Project, pouring billions of dollars into AI research and infrastructure.
Daily Wire senior editor Cabot Phillips recently debuted a new documentary on that AI arms race. He joins us now. I'm Daily Wire executive editor John Bickley with Georgia Howe. This is a special edition of Morning Wire.
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So we'll talk about your new documentary in a second, but first, tell us about the administration's efforts to boost AI development.
Yeah, so as AI has burst onto the scene in recent years, most of the development has been happening in the private sector. It's Silicon Valley companies, it's OpenAI, Google, Microsoft, all the big players. But the Trump administration is now saying, hey, we want in on this. We want to help what you guys are doing. And they're adamant that the AI arms race is really a national security issue, similar to the nuclear arms race or the space race that was going on back in the 50s and 60s. And they're now viewing AI development in the U.S. as... similar to the Manhattan Project during World War II. This idea of, hey, if the Soviets or someone else is to get a nuclear bomb before us, it's going to shift the entire global balance of power.
And they're now feeling that way with AI of, hey, if China or Russia becomes the AI leader, we're going to fall behind. It's going to have huge consequences. And so now Trump is clear that he wants the federal government playing a huge role here, if nothing else, for national security. So last month, he signed this new executive order that they're calling the Genesis Mission. This is going to connect 40,000 scientists all around the country at 17 different national labs. And this is the big part. So for the first time, they're all going to be working on the same AI system. And that's big because a lot of AI scientists are working on all of these different systems. programs and products. There's not really any like central hub where they're sharing data.
And the Trump administration is hopefully trying to get those scientists all on the same page.
So 40,000 different scientists working on Skynet. Basically. There's a data sharing development to this. Can you tell us about that? Right.
This is one of the interesting parts. So one of the key parts of AI development is training your software on data. And it requires huge amounts of data to train these new systems. And one thing the federal government has it is a lot of data so this executive order is going to for the first time provide private companies access to huge troves of government data on everything from energy grids and weather patterns to geological surveys and health care basically anything they want they now have access to to train these new ai models and then from there the AI companies are being directed to focus in on core issues that the White House calls challenges of national importance. So they're telling them, hey, you can use our data, but you have to use it to research four main things, advanced manufacturing, robotics, biotechnology, and nuclear fission.
So basically, President Trump is telling the private sector, hey, we have the data, we have the money, we have the infrastructure, you have the technology and scientists, let's work together.
And I'm sure there's lots of questions about what data is being given access to, what they can use it for. You're talking about, look, they've got a mission in terms of the different focuses, but there's probably some nervousness about access to data that the U.S.
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Chapters
3 chapters
1
What is the New Manhattan Project and why is the U.S. government treating AI as a national security priority?
0:04–4:33
2
How is the Genesis Mission executive order organizing 40,000 scientists across national labs?
4:33–10:47
3
What types of government datasets will be opened to private AI companies and what limits are promised?
10:47–14:11
Speakers
4 identifiedMore from Morning Wire
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