Evidence receipt / belief
Published · transcript-backedSpeaker unverified: belief
1 Feb 2026 Lex Fridman Podcast #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI
“I think open source is essential for educating the population and training the next generation of researchers.”
— Speaker unverified
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Everything needed to verify it.
- Speaker
- Speaker unverified
- Attribution
- Not verified from this transcript
- Claim type
- belief
- Recorded
- 1 Feb 2026
- Publisher
- Lex Fridman Podcast
Transcript context
…Yeah. I mean, the AI Action Plan is just a plan, but I think it’s maybe the most coherent policy document that has come out of the administration, and I hope that it largely succeeds. I know people that have worked on it. The challenge is taking policy and making it real, and I have no idea how to do this as an AI researcher, but largely a lot of things in that were very real. There’s a huge build-out of AI in the country, and while there are issues people hear about, from water use to whatever, we should be able to build things in this country without ruining places in the process. It’s worthwhile to spend energy on. I think that’s a role for the federal government. They set the agenda. And setting the agenda so that open-weight should be a first consideration is a large part of what they can do to get people thinking about it. Also, for education and talent, it’s very important. Otherwise, if there are only closed models, how do you get the next generation of people contributing? You would only be able to learn after you joined a company, but at that point, how do you identify and hire talented people? I think open source is essential for educating the population and training the next generation of researchers. It’s the only way. The way that I could’ve gotten this to go more viral was to tell a story of Chinese AI integrating with an authoritarian state, becoming ASI and taking over the world, and therefore we need our own American models. But it’s very intentional why I talk about innovation and science in the US, because I think it’s both more realistic as an outcome and it’s a world that I would like to manifest.…
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