VibeMathedMath problems solved with AI

Yau's uniformization conjecture

In his 1982 problem survey Yau asked whether a complete noncompact Kahler manifold with positive holomorphic bisectional curvature must be biholomorphic to Cn\mathbb C^n, a noncompact counterpart of the Frankel conjecture (settled by Mori and Siu-Yau). It was known under extra hypotheses: maximal volume growth (Chau-Tam, Liu, Lee-Tam), curvature decay or pinching, and recently for surfaces with positive sectional curvature (Datar-Pingali-Seshadri). Is every complete connected noncompact Kahler manifold of complex dimension nn with strictly positive holomorphic bisectional curvature biholomorphic to Cn\mathbb C^n?

Result
Proved(see note)
Status
Candidate (review pending)
AI contribution
AI-discovered
Method
Argument
Field
Kahler geometry, several complex variables
Posed by
S.-T. Yau, Survey on partial differential equations in differential geometry, Seminar on Differential Geometry, Ann. of Math. Stud. 102 (1982), Section 9(b), p. 45
Year posed
1982
Years open
44y
Solved
2026-09-23
Model
Unreleased internal OpenAI model
Vendor
OpenAI
Collaborators
—
Verification
Unreviewed
Publication
Announced
Collection
OpenAI math release (October 2026), version adc7f12
Significance
58 / 100
Disclosed cost
—
Wikipedia
No dedicated article

What was actually shown

Theorem 1.1: if a connected noncompact complex manifold of dimension n≥1n\ge1 carries a smooth complete Kahler metric with pointwise strictly positive holomorphic bisectional curvature, then it is biholomorphic to Cn\mathbb C^n; no curvature bounds, volume growth, noncollapsing or topological hypotheses are assumed. The proof runs a Kahler-Ricci flow built from exhaustions, proves Harnack inequalities by a disc-minimization argument, obtains shrinking holomorphic charts and assembles them by polynomial-automorphism dynamics into a biholomorphism onto all of Cn\mathbb C^n. It does not say the metric is flat, and it does not treat nonnegative curvature.

What the AI did

Produced by an unreleased internal OpenAI model as part of an OpenAI evaluation on open research problems. The release README says the vast majority of results used one fixed procedure, averaging about three hours of ChatGPT Pro thinking compute per result; this result is not among the README's stated exceptions (the Riemann zeta zero-free region work and the Hodge conjecture for CM abelian varieties). The manuscript is authored as OpenAI with no human author named. The README also cautions that unformalized results could have issues.

Verification

No independent mathematician has checked this yet. Checked here: the abstract, introduction and Theorem 1.1, read against Yau's 1982 question as cited. The flow, Harnack and dynamics arguments, which are long and analytic, were not refereed. No Lean main result. The theorem uses pointwise strict positivity, which is the conjecture's hypothesis; versions with nonnegative curvature are not claimed.

Sources

Changelog1 change

Discussion