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Claude discovers an algorithm that refutes the 3SUM and APSP hypotheses: truly subquadratic 3SUM and truly subcubic APSP (Alman & Vassilevska Williams, Lean-verified)

★★★★★after cutoffscienceAnthropicColumbia UniversityMITconfidence: high

On Oct 5, 2026 Josh Alman (Columbia) and Virginia Vassilevska Williams (MIT) posted arXiv 2610.06783, giving the first polynomial speedups over the textbook algorithms for 3SUM (O(n^1.9992)) and All-Pairs Shortest Paths (O(n^2.9995)), which refutes the 3SUM, APSP, Exact Triangle and Zero-Weight k-Clique hypotheses that underpin much of fine-grained complexity. The paper says an Anthropic internal research model (Claude) discovered the algorithm on its own, with no human input, while asked to check cryptographic constructions; Anthropic then certified the main results in Lean 4.

Key facts

Science result

Field
computer-science / algorithms / fine-grained complexity
Problem
3SUM hypothesis (no O(n^(2−ε)) algorithm) and APSP hypothesis (no O(n^(3−ε)) algorithm), plus Exact Triangle and Zero-Weight k-Clique (open since 1995)
Result
Deterministic O(n^1.9992) 3SUM and O(n^2.9995) integer APSP, refuting the 3SUM, APSP, Exact Triangle and Zero-Weight k-Clique hypotheses and three hinted OMv conjectures
AI system
Claude (Anthropic internal research model)
Human role
AI-originated: the core algorithm was found autonomously by Claude (16M output tokens, no human input) during an unrelated cryptography task; Alman and Vassilevska Williams simplified, extended and wrote the paper
Verification
Preprint; main theorems formally verified in Lean 4/Mathlib by an Anthropic internal model
Status
pending
Why surprising
Two of the central conjectures of fine-grained complexity, assumed by a large body of conditional lower bounds, fell to an algorithm an AI found while working on something else.

What happened

Fine-grained complexity rests on a few hypotheses: that 3SUM needs about n² time, APSP about n³ time, and so on. Many "conditional lower bounds" assume them. Alman and Vassilevska Williams, both leading researchers in the area, now show polynomial speedups for both, so all those bounds lose their basis. The improvement in the exponent is tiny (0.0008 for 3SUM), but any polynomial improvement refutes the hypotheses.

Per the paper's "Acknowledgments and Methodology", the algorithm came from Claude: an Anthropic employee was using an internal research model on cryptographic constructions built on the average-case hardness of Zero-k-Clique. Instead of verifying them, the model broke the assumption, first on average and then in the worst case, in one session of 16M output tokens. Anthropic passed the algorithm to the two authors in September, and certified the final paper's main theorems in Lean.

Why it matters

This is the most significant theoretical-computer-science result credited to an AI so far, and the first where a frontier model, unprompted, overturned a widely believed conjecture rather than proving one that experts expected to be true. The Lean certificate addresses correctness; whether the method generalises (e.g. to SETH or Orthogonal Vectors) is open. The paper was found on Oct 6 by a manual arXiv scan; Anthropic had not yet announced it on its own channels at that time.

Changelog

  • 2026-10-06: created (arXiv scan of the Oct 5 listing; PDF read with pdftotext)

People

Josh Alman Virginia Vassilevska Williams

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Sources (2)

id: 2026-10-05-claude-refutes-3sum-apsp-hypotheses · updated 2026-10-06 · open in the interactive timeline