Dwarkesh Patel

17 Sept 2026

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Noam Brown – Agent swarms, alignment, & recursive self-improvement

New episode with Noam Brown. We talk about multi-agent, Navier-Stokes, and what the current explosion of maths progress tells us about what happens once you automate AI research. And we also discuss how we will know if the models are actual

Dwarkesh Patel

11 Sept 2026

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AI researchers debate how close we are to recursive self-improvement

New episode with John Schulman , Beren Millidge and Charlie O’Neill . I got together with some of the most insightful AI researchers I know who are at the openish companies, because I wanted to hear the details of what's actually happening

Dwarkesh Patel

25 Aug 2026

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Dylan Patel – Anthropic & OpenAI will have most of the world’s compute by 2028

Had a lot of fun chatting again with my twin brother Dylan Patel. We went through lab economics over the next few years - the shift from inference to training as RSI draws near; and how Anthropic and OpenAI are on track to control most of t

Dwarkesh Patel

7 Aug 2026

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8 Predictions for the Era of Continual Learning

I have explained elsewhere why I think continual learning is needed. I don’t think you can have AIs that perform whole jobs as competently as humans if they’re forced to just write Markdown files from session to session. To give an illustra

Dwarkesh Patel

26 Jun 2026

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The next big breakthrough will be AIs learning on the job

Here’s the big research bet the labs are making currently : if we train AIs to accomplish millions of verifiable tasks across thousands of diverse RL environments, then we’ll basically have built AGI. Because such training will create these