Nathan Lambert
speaker
1,814 appearances
3 recordings
2 series
first heard Feb 2025
last heard 1 Feb
Nathan Lambert’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 2 in all, peaking in Feb 2026 with 1.
Appearances
And to the extent that he has a lot of influence over the AI org, it seems much less likely.
Because it seems like Mark brought him in for a fresh leadership aid in directing AI.
And if the open or closed is no longer the defining nature of the model, I don't expect that to be a defining argument between
Mark and Alex like they're both very bright but I just like I have a hard time understanding all of it because Mark wrote this piece in July of 2024 maybe which was like probably the best blog post at the time saying the case for open source AI and then July 2025 came around and it was like we're reevaluating our relationship with open source so it's just kind of like
I mean, the story of one of the stories of 2025 is the U.S.
feeling the gap of llama, which is like all the rise of these Chinese open weight models to the point where I was like, that was the single issue I've spent a lot of energy on in the last five months is like trying to do policy work to get the U.S.
to invest in this.
Adam project is, it started as me calling it the American deep seek project, which doesn't really work for DC audiences, but it's the story of like, what is the most impactful thing I can do with my career, which is that it's Chinese open weight models are cultivating a lot of power.
And there is a lot of demand for building on these open models, especially in enterprises in the U S that are very cagey about these Chinese models going
I think the one sentence summary would be that, or two sentences.
One is a proposition that open models are going to be an engine for AI research because that is what people start with.
Therefore, it's important to own them.
And the second one is, therefore, the U.S.
should be building the best models so that the best research happens in the U.S.
and the U.S.
companies take the value from being the home of where AI research is happening.
And without more investment in open models, we have all the plots on the website where it's like, and it's all these models that are excellent from these Chinese companies that are cultivating influence in the U.S.
and China and internationally.
And I think the U.S.
is spending way more on AI than
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