Noam Brown· @polynoamial · X·· 2026-09-18AI 评分45
AI 导读
OpenAI 的 Noam Brown 与 Dwarkesh Patel 联合发布了一期深度对话，主题涵盖多智能体、Navier-Stokes 方程，以及当前数学领域的爆发式进展对自动化 AI 研究意味着什么。两人还讨论了在启动递归自我改进（RSI）之前，如何判断模型是否真正对齐，以及思维链正在退化、内部/外部模型差距等话题。
正文 · 原文
Happy to finally do a deep dive on multi-agent with @dwarkesh_sp! None of it would have happened without the great work on multi-agent from my @OpenAI teammates @kevinleestone, @mikegmalek, @__eknight__, @amuellerml, @zhangir_azerbay, @CheukHeiChu, and many others.
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?在 X 查看被引用的帖子
来源：Noam Brown · x.com