2026-10-11 18:03 UTC

Expert review will determine whether Proof Atlas's AI-agent-produced Lean formalization validly strengthens Terence Tao's Collatz result to natural density with an explicit 436 ln N bound without proving the full conjecture.

state: expiredheat: lowuncertainty: highconvergesscott: mediumformal-mathematics lean ai-agentsProof AtlasTerence Tao

What is this?

Proof Atlas claims that AI agents produced a Lean-verified strengthening of Terence Tao’s Collatz result: for every function f(N)→∞, almost every N falls below f(N) within an explicit 436 ln N steps, in natural-density terms, without proving the full Collatz conjecture. The supplied results establish that Lean and AI-assisted formalization are active areas—including Tao’s own experiments—and that formal verification can expose proof mistakes, but they do not independently document Proof Atlas, the claimed theorem, or its relationship to Tao’s original result. Expert mathematical and semantic review is therefore still needed; successful Lean compilation alone does not establish from these snippets that the formal statement is the claimed strengthening or that its assumptions are sound.

Why it matters to Scott

The claimed agent-produced Lean formalization directly tests Scott’s Formalisation Bottleneck thesis: machine checking may make proof construction cheaper while theorem selection, semantic fidelity, assumptions, and independent mathematical judgment remain scarce. It offers a dated-receipts opportunity if expert review validates the strengthening, although the radar already tracks several adjacent AI-generated mathematics claims and the supplied evidence does not yet establish this one.
ip:concept.formalisation-bottleneckip:concept.mechanically-different-verifiersip:concept.deterministic-coreip:concept.human-judgmentradar:gpt-5-6-cycle-double-cover-proofradar:claude-fable-jacobian-counterexampleradar:gpt-5-6-convex-proofradar:concept.agent-harnesses
queries asked of Scott's wikis
  • AI agents for formal theorem proving
  • Lean verification and semantic review
  • trust boundaries in machine-checked proofs
  • agent-generated code review and validation
  • proof assistants as AI agent harnesses
  • human oversight of autonomous research agents

Measured heat

no measured readings yet — the hourly heat pass fills this in

How the heat travelled

no chain yet — the hourly chain pass fills this in

Evidence (2) — ⭐ canonical anchor

sourceobjectauthorscorecomments
🟠 redditAI agents strengthened Terence Tao's landmark Collatz theorem. For each f(N)→∞, almost every N falls below f(N) within 436 ln N steps. New: natural density and one explicit clock. Not the full conjecture. Lean-verified.
singularity
zero0_one1607
🟧 echo.blog ⭐Claims a Lean-verified, AI-agent-assisted strengthening of Tao's Collatz theorem to natural density with an explicit 436 ln N clock, while eProof Atlas——

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