Noam Brown · @polynoamial · X·2026-09-09 01:47·53分钟前
AI 导读

Noam Brown 转发 Sebastien Bubeck 的澄清并回应称,Navier-Stokes 结果不依赖 Levent 或 Tristan 的提示词,所用模型远超今天的 LLM,并附上 GPT-6 Astra 与内部模型在开放数学题上 pass rate 的对比图。

Noam Brown@polynoamial
67AI 编辑部评分,满分 100
2026-09-09 01:47· 53分钟前
AI 导读

Noam Brown 转发 Sebastien Bubeck 的澄清并回应称,Navier-Stokes 结果不依赖 Levent 或 Tristan 的提示词,所用模型远超今天的 LLM,并附上 GPT-6 Astra 与内部模型在开放数学题上 pass rate 的对比图。

I understand how, looking at today’s LLMs, people might think the only way we'd achieve NS is by using Levent’s/Tristan’s prompts. But I hope this plot conveys the model used is a huge step up from today’s LLMs. Nobody looked at Levent’s/Tristan’s prompts. That’d be insane.

Sebastien BubeckI would like to clarify a few things: 1) The screenshot is my reaching out to Levent to coordinate our releases. I hope it’s clear from the message that we came...