← TRENDS

AI-generated Millennium-scale mathematics with Lean verification as a frontier-lab workload

For agent-platform and eval teams: long-horizon multi-agent systems plus formal verification are becoming the trusted yardstick for frontier capability — benchmark scores can be contaminated, Lean proofs cannot; mathematics is the second verifiable domain after coding where AI has materially advanced. The workload also puts two governance questions on the table: disclosure of internal-model capability (the NS post discloses an unreleased model stronger than Astra) and harness-mediated data governance (the Buckmaster dispute: can user sessions aid a competing internal effort?). On the engineering side, formal-verification toolchains (Lean, Prove2Me-class) belong in the 'verifiable output' options of any agent platform.

Current judgment

emerging (opened 2026-09-12: three Millennium-scale results from three parties within eight days — FLT, Navier-Stokes, forced Euler — all using Lean/formal verification as the trust layer, plus a public response from the mathematics community; disputes and verification status recorded honestly)

Lifecycle describes the stage; confidence describes evidence strength. A quiet period alone does not invalidate a direction.

Supporting evidence

Earlier evidence · 4
Supporting evidence · Historical record, not rechecked

OpenAI publishes an AI-generated solution to the Navier-Stokes Millennium Problem (2026-09-08, primary source, ev-20260908-18): internal model (significantly more capable than GPT-6 Astra) + ~10,000 concurrent agents + 88 hours to resolution, with GPT-6 Astra producing the 17-hour Lean formalization; Quanta/Guardian coverage and a 1,337-pt HN thread

Supporting evidence · Historical record, not rechecked

Alpöge (Anthropic) and Buckmaster (NYU) resolve the forced Euler regularity problem with an Anthropic internal model (2026-09-08, Buckmaster statement as primary, ev-20260908-19): after nearly a year of guided Claude/Codex work — the first time the human-guided long-horizon agent workflow has carried a Millennium-scale problem

Counter-evidence & gaps

No structured counter-evidence is recorded. This does not establish the absence of counterexamples; the following verification conditions remain open.

Formal acceptance of the NS / Euler proofs by the Clay Institute or the mathematics community; a third lab (or independent teams reproducing results of this class); adoption telemetry for Lean/formal toolchains; actionable norms for AI mathematics emerging from the Fields-Medalist-style declarations

Changes in judgment

No structured revision is available. Historical snapshots remain accessible from Insights; past judgments are not inferred from the current state.

Historical notes & review log
  1. Anthropic formalizes Fermat's Last Theorem end to end (2026-09-04, primary source, ev-20260904-01): 13M lines of Lean, 29.5k theorems, ~6B output tokens, 11 days, Prove2Me + Claude Code multi-agent orchestration, code public
  2. OpenAI publishes an AI-generated solution to the Navier-Stokes Millennium Problem (2026-09-08, primary source, ev-20260908-18): internal model (significantly more capable than GPT-6 Astra) + ~10,000 concurrent agents + 88 hours to resolution, with GPT-6 Astra producing the 17-hour Lean formalization; Quanta/Guardian coverage and a 1,337-pt HN thread
  3. Alpöge (Anthropic) and Buckmaster (NYU) resolve the forced Euler regularity problem with an Anthropic internal model (2026-09-08, Buckmaster statement as primary, ev-20260908-19): after nearly a year of guided Claude/Codex work — the first time the human-guided long-horizon agent workflow has carried a Millennium-scale problem
  4. 25 Fields Medalists sign a declaration that the goals of AI companies and mathematics are severely misaligned (2026-09-11 digest, ev-20260911-05) — the mathematics community's public response to AI math capability supply
  5. Community verification activity forming: Buckmaster's statement at 2,035 HN points (outdrawing the announcement); John D. Cook's formal-method essay (9/10, 174 pts) reading the Lean 4 proof as the trustless verification layer; preliminary verification reports on r/mathematics
  6. 2026-10-06: OpenAI publishes model-generated mathematics with Lean formalizations, revision protocols and process statistics.
  7. OpenAI mathematics project (October 7, 2026, ev-20261006-06 update): a sign error led to three withdrawals and fourteen repairs; Lean coverage reached 300/719, showing formal verification and dependency review remain critical bottlenecks.
  8. KLS conjecture proof (2026-10-04, ev-20261004-03): humans guided roughly 100 AI search trajectories, with parallel proofs the same day and a later Lean 4 formalization.
  9. OpenAI publishes new claims in local smoothing/Kakeya, ETH and quantum field theory; the first two include Lean artifacts and external academic shepherding (2026-10-26, ev-20261006-06 update).

Review log

  1. · Opened as emerging / Medium during the third backfill pass: three Millennium-scale results (FLT 9/4, NS 9/8, forced Euler 9/8) across two labs, all with Lean formalization, plus the Fields-Medalist declaration and active community verification. Counter-tension recorded honestly: the NS proof is not yet broadly accepted by the mathematics community, and OpenAI declined to answer whether its internal model saw the rival team's Codex drafts — the dispute is unresolved.
  2. · 02:08Z follow-up scan: no new formal mathematical-verification outcome, third-lab reproduction or Lean-toolchain adoption data. Stays emerging / Medium.
  3. · No new formal mathematical-verification outcome, third-lab reproduction, or Lean/formal-toolchain adoption data; media follow-ups on the NS/Euler dispute are secondary re-reporting of known facts, not counted as signals. Stays emerging / Medium.
  4. · 01:02Z follow-up scan: no new formal verification outcome, third-lab reproduction or Lean-toolchain adoption data. Stays emerging / Medium.
  5. · No new formal verification outcome, third-party reproduction or Lean-toolchain adoption data. Stays emerging / Medium.
  6. · The expert physics-benchmark audit finds near-saturation after repairing questions and graders, but adds no formal-verification outcome, third-party reproduction or Lean-toolchain adoption data. It is adjacent evidence for evaluation migration, not formal evidence for this trend. Stays emerging / Medium.
  7. · Stellar Colosseum reports research-level theorem results, but code and independent verification remain open. One paper does not raise confidence in formalized mathematics. Stays emerging / Medium.
  8. · No new formal mathematical validation, third-party reproduction or Lean-toolchain adoption data appeared. ScienceBuddy is a general scientific agent and does not count as evidence for this trend. Stays emerging / Medium.
  9. · ScienceIDE and the biomolecular optimization kits expand verifiable scientific agents but add no millennium-scale mathematics result, Lean formalization or independent acceptance. Stays emerging / Medium.
  10. · No new millennium-scale mathematics result, Lean formalization or independent acceptance appeared. Stays emerging / Medium.
  11. · No new millennium-scale mathematics result, Lean formalization or independent acceptance appeared. Stays emerging / Medium.
  12. · No new millennium-scale mathematics result, Lean formalization or independent acceptance appeared. Stays emerging / Medium.
  13. · No new millennium-scale mathematics result, Lean formalization or independent acceptance appeared. Stays emerging / Medium.
  14. · No new millennium-scale mathematics result, Lean formalization or independent acceptance appeared. Stays emerging / Medium.
  15. · No new millennium-scale mathematics result, Lean formalization or independent acceptance appeared; Anthropic ART is biology research and does not count. Stays emerging / Medium.
  16. · No new Millennium-scale mathematics result, Lean formal proof or independent acceptance appeared; ExplorationBench is verifiable-exploration evaluation, not mathematics-proof evidence. Stays emerging / Medium.
  17. · No new Millennium-scale mathematics result, Lean formal proof or independent acceptance appeared. Stays emerging / Medium.
  18. · The follow-up scan found no new independent signal sufficient to change this trend. Status and confidence are unchanged; the GPT-6 image-encoding fix is an engineering update to an existing release.
  19. · This scan found no new independent signal sufficient to change the assessment. Status and confidence remain unchanged.
  20. · This scan found no new independent signal sufficient to change the assessment. Status and confidence remain unchanged.
  21. · This scan found no new independent signal sufficient to change the assessment. Status and confidence remain unchanged.
  22. · No new signals changed the status or confidence in this run.
  23. · No new signals changed the status or confidence in this run.
  24. · No new signals changed the status or confidence in this run.
  25. · No new signal in this cycle was strong enough to change status or confidence.
  26. · No new signal in this cycle was strong enough to change status or confidence.
  27. · No new signal in this cycle was strong enough to change status or confidence.
  28. · OpenAI publishes another batch of model-generated mathematics with Lean formalizations plus revision and citation protocols, strengthening the machine-checkable release path. Independent expert review remains limited; stays emerging / Medium.
  29. · OpenAI withdrew three model-generated manuscripts and repaired fourteen; the transparent correction supports continued tracking while exposing incomplete formal coverage, so status is unchanged.
  30. · No new frontier-mathematics formalization signal appeared; status unchanged.
  31. · No new frontier-mathematics formalization signal appeared; status unchanged.
  32. · No new frontier-mathematics formalization signal appeared; status unchanged.
  33. · No new frontier-mathematics formalization signal appeared; status unchanged.
  34. · No new frontier-mathematics formalization signal appeared; status unchanged.
  35. · No new millennium-scale mathematics or Lean-formalization evidence appeared; status unchanged.
  36. · No new frontier-mathematics or Lean-formalization evidence appeared; status unchanged.
  37. · No new evidence in this run changes the status.
  38. · No new signal in this run was strong enough to change status.
  39. · No new signal in this run was strong enough to change status.
  40. · No new signal changed the status this run.
  41. · No new signal changed the status this run.
  42. · No new formal-mathematics signal appeared.
  43. · The KLS proof connects human-directed multi-trajectory AI search, parallel proofs and Lean 4 formalization, strengthening evidence for verifiable research workflows; stays emerging / Medium.
  44. · No signal in this run changes status or confidence.
  45. · No new rating-changing signal in this run.
  46. · No new evidence in this run changed the trend stage.
  47. · No new evidence in this run changed the trend stage.
  48. · OpenAI publishes three more model-generated research claims, with Lean artifacts for local smoothing/Kakeya and ETH; external interpretation and review remain pending, so the trend stays emerging / Medium.
  49. · No new formal-verification or independent mathematics evidence appeared in this run; status is unchanged.
  50. · No new independently Lean-verified mathematical result appeared; status is unchanged.
  51. · No new independently Lean-verified mathematical result appeared; status is unchanged.
  52. · No new signal in this run changes the current trend judgment.
  53. · No new signal in this run changes the current trend judgment.
  54. · No new signal in this run changes the current trend judgment.