
Advisory Group on Mathematics and Artificial Intelligence
OpenAI announced that its new internal model has resolved the Navier-Stokes Millennium Prize problem and over 100 other long-standing mathematical open problems. In response to concerns raised by mathematicians regarding the rapid pace of these discoveries, the company is establishing an independent advisory group to guide the responsible deployment of these capabilities. This group, hosted at the Institute for Advanced Study, will advise on the significance of results, their dissemination, and how AI tools can support mathematical research.
- ▪OpenAI's new model has solved the Navier-Stokes Millennium Prize problem and more than 100 other open mathematical problems.
- ▪Mathematicians have expressed concerns about the negative externalities of using open problems as benchmarks for AI systems.
- ▪An independent advisory group of prominent mathematicians will be established to advise OpenAI on the review and communication of emerging results.
- ▪The advisory group will operate independently, with members unpaid by OpenAI and free to publish their advice and challenge the company's decisions.
- ▪The group is hosted at the Institute for Advanced Study and includes notable figures such as Edward Witten and Timothy Gowers.
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Record
| Original publisher | OpenAI |
| Canonical URL | https://openai.com/index/advisory-group-on-mathematics-and-ai/ |
| Publication time | Mon, 21 Sep 2026 17:27:49 +0000 |
| Retrieval time | 2026-09-21T19:08:49.362Z |
| Last seen | 2026-09-21T19:08:49.362Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | PDvUfdiEGw0Z · 5 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
September 21, 2026CompanyAdvisory Group on Mathematics and Artificial IntelligenceLoading…ShareOn August 28, we began training a new internal model. In addition to resolving the Navier–Stokes Millennium Prize problem, this model has now resolved more than 100 long-standing open problems across most areas of mathematics. The pace of its progress in mathematics has surprised the mathematicians within OpenAI. This has led to internal discussions on the best way to inform the community of the rapid progress to prepare and adapt the field.Mathematics is a fundamental science, and novel discoveries may result in a wide range of applications. That makes the promise of these capabilities substantial, and their responsible development and deployment important beyond mathematics itself.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at OpenAI.