AIToday
Large Language ModelsGIGAZINE AIPublished: Oct 27, 2026, 19:01 JST

OpenAI AI disproves 指数時間仮説, proves 量子色力学 existence

Send on LINE
OpenAI AI disproves 指数時間仮説, proves 量子色力学 existence

3 Key Points

  1. What happened

    OpenAI said its models proved the local smoothing conjecture in all dimensions — resolving the Kakeya and restriction conjectures — disproved the 指数時間仮説, and gave existence proofs for 量子色力学 and a unified Standard Model extension; the math and CS proofs are on GitHub, formalized in Lean.

  2. Why it matters

    The 指数時間仮説 has underpinned conditional complexity results across hundreds of papers in fields like graph theory and computational biology, so its refutation reopens how far those problems could be sped up, though OpenAI notes more research is needed to turn that into practical algorithms.

WHO IT HITSResearchers in 調和解析, computational complexity theory and mathematical physics now have AI-generated proofs and Lean formalizations to check and build on, while the outside expert groups OpenAI enlisted take on the verification and write-up.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, every morning.

Context & Analysis

OpenAI's account shows the results arrived quickly and then moved through outside hands. The AI produced the local smoothing proof on October 18, 2026, and the Lean formalization ran the next day; the 指数時間仮説 disproof came in natural language on October 16 and was formalized on October 17. The physics work dates back further — a natural-language proof on the existence of Yang-Mills theory on September 9 and a 量子色力学 proof on September 18 — and release was delayed until late October because formalization had to finish, with the Yang-Mills formalization completed on October 16.

The four principles OpenAI set for outside collaboration shape how credit is handled. OpenAI says it will not seek academic credit for findings its in-house models produced, that participation is voluntary and unpaid, and that members speak only for themselves. In practice, the groups OpenAI convened are tasked with understanding and explaining outputs rather than making the first discovery, which is why the write-up and verification roles sit with named outside researchers.

The three release paths diverge in openness, and OpenAI presents that divergence as unresolved rather than settled. Mathematics output is public for researchers to gather around; the CS group published both natural-language proofs and Lean formalizations on GitHub right away; the physics group decided to withhold AI-generated output and write its own paper. On the 指数時間仮説, OpenAI's own framing is that refuting it reopens how much faster these problems could be solved but that finding such algorithms and connecting theoretical progress to practical gains requires much more research.

FAQ
How is OpenAI handling the release of these results?
It asked outside experts to organize groups and followed three different release approaches: publishing math output for open work, forming a CS group with public output, and leaving physics release to its group's judgment. The CS group immediately published natural-language proofs and Lean formalizations on OpenAI's GitHub repository, while the physics group is holding back AI-generated output to write its own paper.
Who is verifying the 指数時間仮説 disproof?
Verification and write-up are to be led by a group including Russell Impagliazzo and Ramamohan Paturi of UC San Diego and Ryan Williams of MIT. OpenAI agreed to publish all raw data and to fund a conference on the work's impact.
Which of the three release approaches does OpenAI consider best?
OpenAI says it is not yet known which of the three is most useful and plans to seek broad public feedback on what works and what can be improved.
Send on LINE

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleUrth to support Kanadevia metatell PoC from January 2027