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 months

Recordings per month over the last 12 months — 2 in all, peaking in Feb 2026 with 1.

Appearances

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Lex Fridman Podcast · #490 – State of AI in 2026: LLMs, Coding, Scaling Laws, China, Agents, GPUs, AGI · 1 Feb 2026 podcast

And I think that a lot of what I was trying to do in this RLHF book is like take post-training techniques and just describe how people think about them influencing the model and what people are doing.

And then it's remarkable how many things I just think are just like people stop studying them or don't.

So I think people trying to get narrow after doing the fundamentals is good.

And then reading the relevant papers and being engaged in the ecosystem, it's like you actually the proximity that random people have online forever.

from the leading researchers.

Like, no one knows who all... The anonymous account on X and ML is very popular for whatever reason.

And no one knows who all these people are.

Like, it could just be random people that study the stuff deeply, especially with the AI tools and just be like, I don't understand this, keep digging into it, I think is a very useful thing.

But there's a lot of research areas that just, like...

maybe three papers that you need to read.

And then one of the authors will probably email you back.

But you have to put a lot of effort into these emails to understand the field.

I think it would be, for a newcomer, easily weeks of work to feel like they can truly grasp what is a very narrow area.

But I think going narrow after you have the fundamentals would be very useful to people because...

It's like I became very interested in character training, which is like how you make the model funny or sarcastic or serious.

And like, what do you do to the data to do this?

And it's like a student at Oxford reached out to me.

It's like, hey, I'm interested in this.

And I advised him.

And I was like, that paper now exists.

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