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068 updated first flagged11 Oct 2026 +7d · nothing yet

Proof Ledger: public review status for the AI proof flood

Open tracker of each AI-claimed proof, its human reviewers and Lean status; math foundations and sponsors pay.

Early · 372 proofs dropped, boycott, Tao essay

Written for: Solo builder

Next step

This week, scrape OpenAI's published proofs into a table with reviewer and Lean-status columns, add DeepMind's peer-reviewed results as the verified baseline, and publish it as a static site. Post it on the Lean Zulip and Hacker News asking reviewers to claim rows.

Why now

Promoted from watch: there is now a concrete backlog to track. OpenAI posted proofs to GitHub without peer review, and that triggered a boycott. Terence Tao's 'Math 2.0' is circulating. arXiv is capping submissions at two a month. Mathematicians need a shared table of what has been checked, by whom, and whether it is formalised. It is buildable in a week, but the paying customer is still weak.

What became possible

OpenAI released 372 claimed novel results at about three hours of compute per proof. DeepMind's AlphaProof Nexus results went through peer review in Science. Same field, two very different levels of verification.

Two ways in

  1. Proof Ledger site

    One row per claimed result: source, problem, claimed status, named human reviewers, Lean formalisation link, open objections. DeepMind's peer-reviewed set is the baseline.

    Customer
    Research mathematicians and journal editors triaging AI claims
    Model
    Open and free; funded by foundation grants and sponsorship
  2. Claim feed

    An RSS/JSON feed and weekly email of newly verified or refuted AI proofs

    Customer
    Science journalists and AI-lab watchers
    Model
    Sponsored newsletter

Competition

Early

The Erdős-problem corner of this idea is already covered. erdosproblems.com, Tao's GitHub wiki and dashboards built on their data track AI claims together with Lean status, and mathematicians already trust them.

Full competition notes (7 competitors)

The Erdős-problem corner of this idea is already covered. erdosproblems.com, Tao's GitHub wiki and dashboards built on their data track AI claims together with Lean status, and mathematicians already trust them. A new entrant cannot win there. What I did not find is a neutral ledger that covers every AI-claimed math result across labs and problem sources. That would include OpenAI's ten-result package, Anthropic's FLT formalization, DeepMind and AlphaProof claims, and one-off results posted on X or arXiv. The ledger would record more than "Lean-checked". It would record whether the formal statement actually matches the claimed theorem, who did the human review, and which errors are known. That gap between the formal statement and the intended meaning is exactly what the OpenAI audit paper and press coverage flag as missing. The closest thing to it, Kingy.ai's tracker, is run by a media site, not by mathematicians, so a ledger run by mathematicians and edited through pull requests could still earn more credibility. On the bounty side I found no dedicated per-result formalization bounty board. Funding goes out as grants (Renaissance Philanthropy, XTX, Microsoft Research) or one-off crowdfunding (Manifund). The risks are that AI labs now formalize their own results before release, which shrinks the bounty market, and that the obvious sponsors may simply fund erdosproblems.com or the Mathlib Initiative directly. A credible way in is to partner with Bloom and Tao rather than compete with them, and to focus on statement-fidelity review, which labs cannot credibly certify themselves.

  • Terence Tao's AI contributions to Erdős problems wiki (erdosproblems GitHub repo)

    This is a community wiki, edited on GitHub, that logs AI contributions to Erdős problems. It is very close to the Proof Ledger idea, but it only covers Erdős problems. One source says it stopped being updated after 2026-06-30, which I could not confirm.

  • erdosproblems.com (Thomas Bloom)

    Each problem page carries a status such as PROVED (LEAN), and forum threads hold the review discussion and Lean links. In practice it is already the main verification record for AI claims on Erdős problems.

  • Jason Willems Erdős Problems Database visualization

    This dashboard is built on the Bloom/Tao data. It counts problems with Lean-formalized proofs and disproofs (a snapshot dated 2026-09-09 shows 176 Lean-formalized proofs). It shows there is demand, and that people will build free trackers without a sponsor.

  • Kingy.ai Breakthrough Tracker

    Each record covers one AI-linked math result and carries labels like 'Provisional, Lean-checked claim, specialist review pending'. That is almost exactly the Proof Ledger field set. It is run by an AI-news media site, not by mathematicians.

  • A Human Audit of OpenAI's AI-Generated Mathematical Proofs (arXiv)

    This is a one-off audit paper on OpenAI's August 2026 package of ten Lean-certified results. It points out that a Lean certificate only covers the statement as encoded, so humans still have to check the meaning. That matches the ledger's premise, but it is a paper, not a maintained tracker.

  • Renaissance Philanthropy AI for Math Fund / Mathlib Initiative

    This is the sponsor-funded model the bounty board would compete with or sell to. XTX Markets money backs Lean and formalization work through grants, not per-theorem bounties. It is a likely customer or partner rather than a direct competitor.

  • Manifund project: formalizing mathematical AI safety research in Lean

    Crowdfunding for Lean formalization does exist on general platforms like Manifund. I found no marketplace dedicated to per-result formalization bounties.

Checked 2026-10-11

Risks

  • No obvious payer, so it may stay a reputation project
  • Labs or the Lean community may launch an official tracker
  • Disputes over review status will make moderation a real time cost

Strong tech readiness and buildability; market pull is the weak point (3).

tech 8 · pull 3 · space 6 · fit 6 · build 8

Exposed

Companies that could benefit or be threatened. News and context, not investment advice.

Momentum of its main topic

24 developments this week -11 vs last week
21 Sep: 0 developments22 Sep: 0 developments23 Sep: 0 developments24 Sep: 0 developments25 Sep: 0 developments26 Sep: 0 developments27 Sep: 0 developments28 Sep: 0 developments29 Sep: 0 developments30 Sep: 0 developments1 Oct: 0 developments2 Oct: 0 developments3 Oct: 0 developments4 Oct: 0 developments5 Oct: 0 developments6 Oct: 0 developments7 Oct: 0 developments8 Oct: 4 developments9 Oct: 13 developments10 Oct: 3 developments11 Oct: 5 developments12 Oct: 4 developments13 Oct: 6 developments14 Oct: 1 development15 Oct: 4 developments16 Oct: 3 developments17 Oct: 7 developments18 Oct: 1 development19 Oct: 2 developments20 Oct: 6 developments
Stage: Coverage

Sources

  1. AI’s First Full Field-Level DisruptionThe AI Daily Brief
  2. When AI Solves Your Life’s WorkThe AI Daily Brief
  3. Google Deepmind's AlphaProof Nexus solved dozens of open math problems and actually got peer reviewedThe Decoder
  4. Terence Tao: Math 2.0 [pdf]Hacker News
  5. ArXiv caps submissions at two per month as AI paper flood overwhelms the preprint serverThe Decoder

What happened next

  • +7d · 18 Oct 2026 nothing yet. Multiple searches found recent activity in AI proof verification and formalization (OpenAI's October 2026 math release, Anthropic's Fermat formalization, various Lean tools) but no evidence of a public Proof Ledger tracker matching the described opportunity launching after October 11, 2026. Existing tools focus on formalization and verification rather than public review tracking with named reviewers and open objections.

How the record works

Status history

  • 2026-10-11 Added to the watchlist
  • 2026-10-12 Promoted from the watchlist: Today's evidence made it buildable
  • 2026-10-12 Flagged as buildable