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.

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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

I think it's assigning completeness to something, where the models are kind of superhuman at some types of code, and I think that will continue.

And people are creative, so they'll utilize this incredible abilities

and to fill in the weaknesses of the models and move really fast, then it'll always kind of be this, I've perceived for a long time, this dance between the humans are enabling this thing that the model can't do, and the best AI researchers are the ones that can enable this superpower.

And I think this aligns to what we already see.

I think like cloud code for building a website, you can stand up a beautiful website in a few hours or do data analysis.

And I don't think it's going to keep getting better at these things.

It'll pick up some new code skills and stuff that it'll get along the way.

And kind of linking to what's happening in big tech is like this AI 2027 report is like it leans into the singularity idea where I think research is messy and social and largely in the data in ways that AI models can't process.

But like what we do have today is really powerful in these areas.

tech companies are all collectively buying into this with tens of billions of dollars of investment.

So, like, we are going to get some much better version of ChatGPT, a much better version of Cloud Code than we already have.

I think that it's just, like, hard to predict where that is going.

But the, like...

bright clarity of that future is why some of the most powerful people in the world are putting so much money into this and i think it's just kind of small differences between like we don't actually know what a better version of chat gpt is but also like can it automate ai research i would say probably not at least in this time frame like big tech is going to spend 100 billion dollars much faster than we get a automated ai researcher that enables a ai research singularity

I would say less than that on the software side, but I think longer than that on the things like research.

By the end of this year, the amount of software that will be automated will be so high.

But it's like, it'll be the things of like you're trying to train a model with RL and you need to have multiple bunches of GPUs communicating with each other.

That'll still be hard, but I think it'll be much easier.

I think software engineering will be driven more to system design and goals of outcomes, where I do think software is largely going to be

I think this has been happening over the last few weeks where people have gone from a month ago of like, oh, AI agents are kind of slop, which is a famous Carpenter quote, to what is a little bit of a meme of the industrialization of software when anyone can just create software at their fingerprints.

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