DeepMind uses AlphaProof Code to formally verify Signal's protocol
Gemini Carbon agents produced over six million lines of Lean in four weeks and flagged two reintroduced bugs.
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Gemini Carbon agents produced over six million lines of Lean in four weeks and flagged two reintroduced bugs.

Paying users get API access at $2 and $10 per million tokens until November 30; Carbon for cyber stays in Fairwind.

Scott Aaronson says he does not fully follow the proof but accepts it after Lean autoformalization.

Agents turned about 7,654 pages into roughly 16 million lines of Lean checked by a proof assistant.
The Hacker News post has 21 points and 3 comments; the feed gives no technical or release details.
Of 171 numerical linear algebra and PDE targets, 157 were accepted at a mean estimated cost of $0.85–2.29 each.
The pipeline cut false-positive verdicts on natural-language proofs from 23% to 6% versus one-shot LLM judgment.
On a stratified Aegis sample of 2,000 statements, it proves 1,054 within a 30-minute budget.

OpenAI says models disproved the Exponential Time Hypothesis and proved local smoothing in every dimension; reviewers have not endorsed the claims.

Claude Opus 5.5 scores 18.5% resolved on ProgramBench, up from 0% for earlier models in May.
A checked proof of False, including 0 = 1, passes the Lean 4 kernel at --trust=0 without axioms or unsafe features.
Shepherds chose three release paths; Lean writeups for the math and ETH results are already public.
With matched models, a single attempt plus verifier feedback solved eight open FormalConjectures problems and led three formal benchmarks.
A model-free search hits 100% precision and 65.6% recall; proof auditing accepts none of 104 non-equivalent pairs.
It runs in Claude Code or Codex, pauses on ambiguous claims, and emits an annotated paper plus linked Lean code.
Across six 5- or 9-replica deployments, mean latency fell 12.2% on write-heavy and 33.3% on read-heavy workloads.
The method verifies 81 of 105 DynaCertBench instances, 17.1 points above one-shot proposals without feedback.

Mathematicians dispute OpenAI's Navier-Stokes Lean proof, saying it differs from the cited approach and agent credit is unclear.
LeanGraphSearch retrieves supporting Lean lemmas via dependency graphs and lifts theorem-proving pass rates.
Every quadratic APN permutation in odd dimension at least 5 has an optimal reduced representative.
A tool-augmented agent compiled 87.2% of 227 statements, but only 57.7% passed a two-judge semantic check.
Mechanical checks plus LLM review cut errors when verifying Lean formalizations of NIST math functions.
On 8,800 examples and 12 tasks, Qwen3.6-27B whole-trace refinement beat direct chain-of-thought on every task.
LeanPRM uses Lean to auto-label 152K proof steps, lifting a Qwen3-4B verifier's step accuracy from 48.2 to 74.7.
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