# Noam Brown 回应 Navier-Stokes 证明争议，称 OpenAI 内部模型远超现有 LLM

- 来源：Noam Brown (@polynoamial)
- 发布时间：2026-09-09 01:47
- AIHOT 分数：67
- AIHOT 链接：https://aihot.news/items/cmtsz7my603zqro5wtncrfgbu
- 原文链接：https://x.com/polynoamial/status/2097381286193316203

## AI 摘要

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。

## 正文

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.

### 引用推文

> Sebastien Bubeck：I 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...