Noam Brown· @polynoamial · X·· 15 天前AI 评分51
AI 导读
OpenAI 的 Noam Brown 在 Dwarkesh 播客中深谈多智能体、Navier-Stokes 与当前数学进展对自动化 AI 研究和递归自我改进的启示。讨论还涵盖如何在启动 RSI 前判断模型是否真正对齐，以及思维链退化、内外部模型差距等话题，并感谢 OpenAI 团队在多智能体方面的工作。
正文
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