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OpenAI uses internal models to solve the Navier-Stokes equation problem, sparking academic controversy

OpenAI achieved a solution on September 5 and completed formal verification in 17 hours, sparking academic controversy.

2026-09-09 07:55 Models 🔥 64.3 heat score hn #1lobsters #9
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SummaryAI generated

In September 2026, OpenAI announced that its team used the unpublicized internal Astra model and 10,000 concurrent agents to successfully solve the problem of the existence and smoothness of the Navier-Stokes equations, which has plagued the field of mathematics for approximately 90 years. This problem is one of the seven Millennium Prize Problems with a prize of $1 million since 2000. OpenAI began training on August 28 and achieved a solution after about 88 hours on September 5. The solution was then formally verified over 17 hours, during which 4.9 million messages were exchanged and approximately 300 billion output tokens were used. Tristan Buckmaster, a professor at New York University, and his collaborators had spent nearly a year studying this problem and made a breakthrough on August 15. They subsequently accused OpenAI of cheating and published a version of their research results. OpenAI responded that its model did not access user data and that the proven results were significantly different from those of Alpog and Buckmaster.

Related eventsRELATED EVENTS
Quick factsQUICK FACTS
Super GPT-6 AstraModel name
10,000Number of concurrent agents
$1 millionReward amount
17 hoursVerification time
Key entitiesKEY ENTITIES
AnthropicClaudeCodexGPT-6 AstraLeanLevent AlpögeOpenAITristan Buckmaster

Event frameEVENT FRAME

Research

OpenAI GPT-5.6 Sol/GPT-6 Astra 用未发布模型解决纳维 - 斯托克斯问题

Status

OpenAI achieved a solution on September 5 and completed formal verification in 17 hours, sparking academic controversy.

Coverage · reports per dayLANGUAGE SPLIT

Entity relations
Anthropic × Claude1Anthropic × Codex1Anthropic × Levent Alpö…1Anthropic × OpenAI1Anthropic × Tristan Buc…1Claude × Codex1

Integrated timelineUNIFIED TIMELINE

  1. 2026-09-08

    OpenAI announces solution to the Navier-Stokes problem

    The OpenAI team used the internal Super GPT-6 Astra model and 10,000 concurrent agents to achieve a solution after approximately 88 hours, with formal verification completed in 17 hours. This problem is one of the Millennium Prize Problems that have been awarded $1 million since 2000.

    3 reports

SignalsSIGNALS

Keyword heat
  • OpenAI2
  • Tristan Buckmaster1
  • Levent Alpöge1
  • Anthropic1
  • Claude1
  • Codex1
  • GPT-6 Astra1
  • Lean1

All reports (3)SOURCES

O OpenAI en 2026-09-08 18:00

On the Navier–Stokes Millennium Prize Problem

研究人员分享了人工智能生成的纳维 - 斯托克斯千禧年大奖难题解决方案,包含一份撰写报告及在 Lean 中的形式化证明。该方案由 AI 生成,附带详细撰写说明与基于 Lean 定理证明器的正式数学证明文件。

T The Verge en 2026-09-09 04:53

Drama swirls around OpenAI’s legendary mathematical milestone

OpenAI 宣布利用内部超 GPT-6 Astra 的 AI 模型及 10,000 个并发代理,解决了困扰约 90 年的纳维 - 斯托克斯方程难题。该问题属于七个千禧年大奖难题之一,悬赏 100 万美元。OpenAI 于 8 月 28 日开始训练内部模型,此前《纽约时报》和《连线》已报道此消息。

S Simon Willison en 2026-09-09 07:55

On the Navier–Stokes Millennium Prize Problem

OpenAI 团队利用未发布模型解决了纳维 - 斯托克斯方程存在性与光滑性难题,该问题属于自 2000 年 5 月 24 日起悬赏 100 万美元的七个千禧年大奖难题之一。OpenAI 团队于 9 月 1 日启动评估工作,9 月 5 日约 88 小时后得出解决方案,随后经 17 小时形式化验证完成。整个项目共发送 490 万条消息并消耗约 3000 亿输出令牌,其中解决该特定问题消耗约 270 万条消息和 1300 亿输出令牌。纽约大学数学教授特里斯坦·巴克马斯特及其合作者莱文特·阿尔波格此前已投入近一年时间研究此问题,并在 8 月 15 日取得突破。巴克马斯特指控 OpenAI 存在作弊行为,并发布了其研究成果版本。OpenAI 回应称,其模型未访问用户数据,且证明结果与阿尔波格和巴克马斯特的成果显著不同。…