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AI Math Discoveries in 2026

Four AI companies made 11 announcements on open math problems this year. Nine credit a model the public could not use that day.

AI Math Discoveries in 2026. A dated list of 11 claims, each with the party's logo, the problem and the model credited. Filled chips mark a public model, outlined chips a model not public when claimed. Feb 11, Google: four Erdős problems, solved on its own of 700 it tried, Gemini Deep Think (public). May 20, OpenAI: unit-distance conjecture, disproved and checked by outside experts, internal model. Jul 20, Anthropic: Jacobian conjecture, disproved by a counterexample, Claude Fable 5 (public). Aug 1, OpenAI: ten open problems including three Erdős problems, Internal Astra. Aug 10, Anthropic: Riemann zeta zeros, bound raised from 41.6% to 67.2%, unreleased Claude. Sep 8, OpenAI: Navier–Stokes, a Millennium Prize problem, plus Euler, internal model. Sep 21, OpenAI: 100+ open problems, same model, in training since Aug 28, internal model. Oct 6, OpenAI: 722 manuscripts from about 4,000 problems posed, internal model. Oct 26, OpenAI: Kakeya, ETH and Yang–Mills, outside groups examine two, internal model. Oct 27, Anthropic: Exponential Time Hypothesis, refuted, found Oct 16, internal Claude. Nov 6, PSI: Aaronson–Ambainis conjecture, proved by PSI's system, non-public Anthropic model.
From Feb 11 to Nov 6, 2026, four companies made 11 announcements on open math problems. Two credit a public model, Gemini Deep Think and Claude Fable 5. Nine credit models that were internal or unreleased when claimed. Download

OpenAI, Anthropic, Google and the startup Physical Superintelligence (PSI) each announced results on open math problems in their own posts this year. Of the 11 announcements since Feb 11, nine credit a model that had no public release that day. The latest came on Nov 6, when PSI said its system proved the Aaronson–Ambainis conjecture using “instances of a non-public Anthropic model”.

Two claims credit a public model

On Feb 11, Google DeepMind wrote about Aletheia, a research agent powered by Gemini Deep Think. Google described a “semi-autonomous evaluation” of 700 open Erdős problems that included “autonomous solutions to four open questions”. Deep Think has been a mode in the Gemini app since Aug 1, 2025. Google upgraded it the next day, Feb 12. Google said it claims no “Major Advance” among these results.

On Jul 20, Anthropic’s Levent Alpöge posted a counterexample on X. He wrote that “the jacobian conjecture is false” and credited “fable”. Anthropic’s Jul 28 research post links to that post. It says “we announced that Claude Fable 5 resolved the Jacobian Conjecture”. Claude Fable 5 was public then. Anthropic made it available again to users globally on Jul 1, after suspending access for all users in June.

OpenAI’s claims all credit internal models

OpenAI made six announcements. On May 20 it said an internal model disproved Erdős’s unit-distance conjecture, and that outside mathematicians checked the proof. On Aug 1 it shared ten results on long-standing open problems, including Erdős problems 146, 180 and 183, from “an internal version of Astra, our next major model”. Each came with a Lean certificate. GPT-6 Astra launched on Sep 3.

On Sep 8, OpenAI shared a solution to the Navier–Stokes Millennium Prize Problem with a Lean proof. It came from “an internal model that is significantly more capable than GPT‑6 Astra”. The same post reports a disproof for the Euler equations with no external force. It also credits Anthropic’s Levent Alpöge and NYU’s Tristan Buckmaster with a resolution of the forced Euler problem “using an internal Anthropic model”, and recognizes “the priority of their work on forced Euler”. OpenAI began training its internal model on Aug 28. On Sep 21 it said the model “has now resolved more than 100 long-standing open problems”.

On Oct 6, OpenAI released a GitHub repository of results from an internal model. Its README counted 722 manuscripts in 372 families, from about 4,000 problems posed. The next day OpenAI withdrew three manuscripts after finding a sign error, and its history put the share of top-line results formalized in Lean at 300 of 719. On Oct 26 it announced three more results. OpenAI says its models proved the local smoothing conjecture, which resolves the Kakeya conjecture in all dimensions. It says its system proved the Exponential Time Hypothesis (ETH) false. It also says its models produced an existence proof for Yang–Mills theory and quantum chromodynamics. OpenAI says it formalized the Kakeya, ETH and Yang–Mills proofs in Lean. Outside groups will examine the ETH and physics results, and the physics group is holding back the AI output for now.

Anthropic’s internal Claude and PSI’s run

On Aug 10, Anthropic said “an unreleased research version of Claude” raised the lower bound for the share of Riemann zeta zeros on the critical line from 41.6% to 67.2%. Claude and an Anthropic staff member produced a Lean formalization. Two outside experts, Brian Conrey and Dan Goldston, examined the paper. On Oct 27, Anthropic published its own refutation of ETH, found on Oct 16 “by an internal Claude research model”, with a Lean proof. The ETH Refutation Timeline covers how the two labs’ ETH claims unfolded.

PSI’s Nov 6 post says its own system ran on PSI’s infrastructure, and that Lean accepted its first complete proof and the final version after two improvements. The Lean files are on GitHub. Stanford’s Guy Blanc, Jordan Docter, Carmen Strassle and Li-Yang Tan are reading the proof. PSI does not name the Anthropic model. Anthropic has published no post on the result as of Nov 9.

DatePartyProblemModel creditedPublic model
Feb 11GoogleFour Erdős problemsGemini Deep ThinkYes
May 20OpenAIUnit-distance conjectureInternal modelNo
Jul 20AnthropicJacobian conjectureClaude Fable 5Yes
Aug 1OpenAITen open problemsInternal version of AstraNo, launched Sep 3
Aug 10AnthropicRiemann zeta zerosUnreleased ClaudeNo
Sep 8OpenAINavier–StokesInternal modelNo
Sep 21OpenAI100+ open problemsInternal modelNo
Oct 6OpenAI722 manuscriptsInternal modelNo
Oct 26OpenAIKakeya, ETH, Yang–MillsInternal modelNo
Oct 27AnthropicExponential Time HypothesisInternal ClaudeNo
Nov 6PSIAaronson–Ambainis conjectureNon-public Anthropic modelNo

Timeline

  1. Google says its Aletheia agent, powered by Gemini Deep Think, solved four open Erdős problems on its ownGoogle DeepMind, blog post
  2. OpenAI says an internal model disproved Erdős's unit-distance conjectureOpenAI, research post
  3. Anthropic's Levent Alpöge posts that the Jacobian conjecture is false, crediting FableLevent Alpöge, X post
  4. OpenAI shares ten results on long-standing open problems from an internal version of AstraOpenAI, publication post
  5. Anthropic says an unreleased Claude raised the lower bound for Riemann zeta zeros on the line from 41.6% to 67.2%Anthropic, research post
  6. OpenAI shares a solution to the Navier–Stokes Millennium Prize Problem with a Lean proofOpenAI, research post
  7. OpenAI says the same model has resolved more than 100 long-standing open problemsOpenAI, company post
  8. OpenAI publishes 722 manuscripts from an internal model on GitHubOpenAI, research post
  9. OpenAI announces results on the Kakeya conjecture, the Exponential Time Hypothesis and Yang–Mills existenceOpenAI, research post
  10. Anthropic publishes a refutation of the Exponential Time Hypothesis by an internal Claude modelAnthropic, paper on Hexagon
  11. PSI says its research system proved the Aaronson–Ambainis conjecture using a non-public Anthropic modelPhysical Superintelligence, research post

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