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View original post on X: Dwarkesh Patel· 31/100AI score31/100

Dwarkesh Patel interviews Noam Brown on multi-agent AI, math progress, and alignment

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Dwarkesh Patel's new episode with Noam Brown covers multi-agent systems, Navier-Stokes, and what recent math progress suggests about recursive self-improvement once AI research is automated.

The discussion also addresses how to tell whether models are actually aligned before recursive self-improvement begins, including the internal/external model gap and whether chain of thought is degrading.

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@dwarkesh_sp

New episode with @polynoamial

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 actually aligned before we kick off RSI.

0:00:00 – Multi-agent and Navier-Stokes
0:15:28 – How will AI firms work?
0:22:02 – What math progress tells us about recursive self improvement
0:40:22 – Hugging Face and alignment
1:01:18 – The internal/external model gap
1:08:34 – Chain of thought is degrading
1:14:12 – How will we know when alignment is solved?

Source: Dwarkesh Patel · x.comPublished · added here