OpenAI posted 719 manuscripts from an unreleased internal model across about 4,000 attempted problems, about a quarter Lean-verified. Highlights include a partial Riemann hypothesis result, Hilbert's 10th over rationals, a matrix multiplication exponent of 2.25, and Birch–Swinnerton-Dyer progress.
OpenAI math breakthroughs at a glance
- What is OpenAI math breakthroughs?
- OpenAI math breakthroughs is a research from OpenAI. OpenAI repository of 700+ math manuscripts and Lean proofs generated by an unreleased internal model.
- Who makes OpenAI math breakthroughs?
- OpenAI math breakthroughs is made by OpenAI.
- Does OpenAI math breakthroughs work in the EU?
- Available in the EU. The manuscripts and Lean artifacts are a public Apache-2.0 GitHub repository with no regional restrictions. The underlying model is unreleased, so there is no EU product availability to assess. Last verified 14 Nov 2026.
- How much does OpenAI math breakthroughs cost?
- Open source, open source. Repository is free to access under Apache-2.0. The generating model is unreleased and not available. Licence: Apache-2.0.
- Where was OpenAI math breakthroughs shown?
- In 1 creator video by AI Search. Most recently by AI Search on 11 Oct 2026, at 12:20 in “New AI enzymes, 700+ math breakthroughs, AI for DNA mutations, room temp semiconductors: AI NEWS”.
Sources: the vendor's own pages (linked above) and creator videos at the linked timestamps. EU status is information, not legal advice; see how we check.
The openai/math repository collects mathematical manuscripts and supporting proof artifacts produced by an unnamed, unreleased internal OpenAI model. OpenAI says it expanded its evaluations on open research problems after its existing math evaluations saturated. The catalogue currently holds 721 manuscripts in 373 families, each classified by mathematical discipline. Creator coverage cites 719 manuscripts at an earlier point, with highlights such as partial Riemann hypothesis results and progress on Hilbert's 10th problem over the rationals.
Most results came from one fixed procedure: the model was posed about 4,000 problems, and each result used on average three hours of ChatGPT Pro thinking compute. Outputs were then grouped into families and filtered for significance. Exceptions include work on a zero-free region for the Riemann zeta function and a Hodge Conjecture proof for CM abelian varieties. The Re(s) > 11/12 zero-free region writeup was human edited for readability.
Verification is uneven. Not all manuscripts have Lean formalizations, and about 42% of top-line results are formalized. OpenAI warns that some unformalized results could have issues and describes the manuscripts as raw research data rather than polished papers. The repository also includes an overview PDF, a manuscript map, and abridged reasoning summaries for ten results. The model itself is not released, so the collection is a set of artifacts to read and check, not a tool to run.
- 721 manuscripts organized into 373 families by mathematical discipline
- Lean formalizations for about 42% of top-line results, with Comparator checking instructions
- Abridged reasoning summaries for ten selected results
- Overview PDF, manuscript map and per-manuscript BibTeX citations
- Versioned release history with corrections recorded as new versions
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