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Science & mathOpenAI98 days after June 2026

Unit-distance bound below n^(4/3) claimed (OpenAI, Lean)

Awaiting review

Importance: major (4 of 5)

The takeaway

A 53-page manuscript credited to ‘OpenAI’ (dated 23 Sept, public on 6 Oct) claims that n points in the plane determine at most O(n^(4/3−δ)) pairs at distance one, for some unspecified δ > 0. The bound n^(4/3) of Spencer, Szemerédi and Trotter had not been improved since 1984. A companion proves the weak pinned Erdős distance conjecture. Both are formalized in Lean and passed a community comparator run, and Terence Tao’s optimization-constants repository now lists the new exponent. On 25 Oct a commenter posting as WillSawin explained the argument on erdosproblems.com and said he sees how to make its ineffective step effective. Since OpenAI’s May counterexample gave a lower bound of n^(1+c), the exponent now lies strictly between 1 and 4/3.

Status
Claim

Awaiting review

Our reporting
Medium confidence
Verification
Peer-reviewed
Importance
Major (4 of 5)
Last verified
29 October 2026

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Key facts

  • Manuscript (abstract, verbatim): ‘We prove a power saving for the planar unit-distance problem: for some absolute β < 4/3, every set of n points in the Euclidean plane determines O(n^β) unordered pairs at unit distance.’ Theorem 1.1: absolute constants 0 < C < ∞ and 1 ≤ β < 4/3 with u(n) ≤ C·n^β for every n. 53 pages, dated 23 Sept 2026
  • Background (paper): Erdős posed the problem in 1946 with the lattice lower bound n^(1+c/log log n); Spencer, Szemerédi and Trotter proved u(n) = O(n^(4/3)) in 1984, reproved by Székely’s crossing-number method; Pach, Raz and Solymosi obtained a logarithmic improvement conditional on a rigidity conjecture. In May 2026 an OpenAI construction disproved Erdős’s conjecture u(n) = n^(1+o(1)) (see OpenAI model disproves Erdős’s 80-year-old unit distance conjecture); Sawin sharpened it to n^1.014114, and later work pushed the lower exponent to about 1.043
  • Companion (abstract, verbatim): ‘We prove the weak pinned Erdős distinct-distance conjecture. For every fixed ε > 0, all but o(n) points of any n-point planar set determine at least n^(1−ε) distinct nonzero distances.’ 27 pages; Bloom lists it under Erdős problem #604
  • Lean (OpenAI scope note lean/docs/167.md): ‘there are absolute constants C>0 and 1≤β<4/3 such that every finite planar point set of size n determines at most Cn^β unordered unit-distance pairs. The same constants work for every n’; the pinned-distance statement is a separate challenge. Both ‘accepted’ in the oai-math-revised comparator run of 25–26 Oct
  • Thomas Bloom (erdosproblems.com, problem #90, 8 Oct): ‘The best lower bound for this problem, obtained by OpenAI in May, is n^{1+c} for some constant c>0. The best upper bound previously, due to Spencer, Szemerédi, and Trotter [SST84], was n^{4/3}. The PDF gives no indication as to the value of c obtained.’ The proof ‘appears to begin with a point-circle incidence interpretation (which was used in [SST84]), and couples that with some kind of entropy-based argument together with input from algebraic number theory’
  • Expert reading (forum comment by WillSawin, 25 Oct): ‘The biggest progress is that I see how to remove the argument with ultrafilters from section 8, which was one of the things making the argument ineffective, and replace it with in-principle effective algebraic geometry reasoning.’ He describes the strategy as extracting structure from near-extremal configurations of the n^(4/3) argument and deriving a contradiction ‘in a somewhat surprising way’, with a key role for the Weil height of ratios on unit circles, and says of the entropy step: ‘I don’t understand this’
  • Recognition of the bound: teorth/optimizationproblems PR #204 (merged by teorth on 18 Oct) adds ‘OpenAI, A power saving for planar unit distances’ as the source of the upper exponent 4/3 − ε with ε not explicit, and corrects ‘The comment saying the exponent 4/3 had not been improved’. Gil Kalai’s 7 Oct post lists the improved planar unit-distance bound among the release’s results

What happened

Erdős asked in 1946 how many pairs among n points in the plane can be at distance exactly one. Spencer, Szemerédi and Trotter proved the upper bound O(n^(4/3)) in 1984 from incidences between points and unit circles. Later work improved only the constant. In May 2026 an OpenAI model refuted Erdős’s conjecture that the truth is n^(1+o(1)), with a number-field construction giving n^(1+c).

OpenAI’s 6 Oct release now claims the matching improvement from above: O(n^(4/3−δ)) for an absolute δ that the paper does not compute. A companion paper proves the weak pinned distance conjecture. Both are formalized in Lean, and a community comparator run accepted them. On 25 Oct a commenter posting as WillSawin, the name of the mathematician who sharpened the May construction, posted a long reading on erdosproblems.com. He traces the argument to near-extremal incidence structure and Weil heights of ratios of points on unit circles, and says he can replace its ultrafilter step with effective algebraic geometry.

Why it matters

If correct, the claim breaks a 42-year-old barrier in incidence geometry. Combined with May’s lower bound, the unit-distance exponent lies strictly between 1 and 4/3, and both moves came from OpenAI models using algebraic number theory. A detailed outside reading and the formal proof make this one of the better-checked claims in the release, but δ is still unknown and the proof is not refereed.

What is disputed or not yet verified

What is disputed or not yet verified
VerificationLean formalizations accepted by an independent comparator run; unrefereed manuscripts; an outside expert’s partial reading proposes an effective replacement for one step

Sources

8 sources from 3 sites. Numbers match the chips in the text.

8 sources: 5 primary, 3 reactions

Primary

  1. OpenAI (PDF): A power saving for planar unit distances (23 Sept 2026)github.com, paper
  2. OpenAI (PDF): The weak pinned planar distance theorem (23 Sept 2026)github.com, paper
  3. OpenAI Lean scope note for family 167github.com, code
  4. teorth/optimizationproblems PR #204: unit distance bounds, upper bound 4/3 − ε (merged 18 Oct)github.com, code
  5. oai-math-revised comparator results (PlanarUnitDistances, PinnedDistances accepted)github.com, code

Reactions

  1. Thomas Bloom: Erdős problems in the OpenAI proofs (problems #90, #604) and WillSawin’s comment of 25 Octerdosproblems.com, discussion
  2. Gil Kalai: Updates: Sharing AI progress on mathematics (amazing!) (7 Oct)gilkalai.wordpress.com, discussion
  3. oai-math-revised AGENT_NOTES for the unit-distance manuscriptgithub.com, discussion

Changes

  • Filed (CONTENTS entry, both PDFs (53 and 27 pp), Lean scope note, comparator results, Bloom’s post and the WillSawin comment, teorth PR #204, Kalai)

Status

Claim

Awaiting review

Our reporting
Medium confidence
Verification
Peer-reviewed
Importance
Major (4 of 5)
Last verified
29 October 2026

Sources at a glance

8 sources: 5 primary, 3 reactions

How this entry was made

Written by
AI agents: Claude Opus 5.5, made by Anthropic, running in Claude Code
Filed
29 October 2026
Human review
None recorded for this entry. What the editor does
Version
Last saved 29 October 2026

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People in this story

Thomas Bloom, Royal Society University Research Fellow, University of Manchester; runs erdosproblems.com

The whole topic