Post-Cutoff.com
  1. Home
  2. Timeline
  3. 2026
  4. GPT-5.5 Pro finds counterexample disproving McKean's 1966…

GPT-5.5 Pro finds counterexample disproving McKean's 1966 conjecture and the Gaussian completely monotone conjecture

★★★scienceOpenAIconfidence: high

Gu and Sellke (arXiv 2605.11656) presented an explicit probability measure, found by GPT-5.5 Pro, for which the 5th time-derivative of entropy along the heat flow is positive. This disproves the Gaussian completely monotone conjecture, McKean's 1966 Gaussian-optimality conjecture (1-D) and Toscani's 2015 entropy power conjecture.

Key facts

Science result

Field
mathematics / probability / information theory
Problem
McKean's conjecture on entropy along the heat flow; Gaussian completely monotone (GCM) conjecture (open since 1966)
Result
Explicit measure on R with positive 5th derivative of entropy under heat flow, refuting three related conjectures.
AI system
GPT-5.5 Pro
Human role
AI found the counterexample; humans verified and wrote the proof
Verification
Human-written rigorous proof; preprint
Status
confirmed

What happened

OpenAI researcher Mark Sellke and a co-author used GPT-5.5 Pro to search for a distribution violating a 60-year-old monotonicity conjecture, and it produced one.

Why it matters

It is part of 2026's striking pattern of AI counterexamples: models proved especially good at finding objects that break long-believed conjectures. Suvrit Sra documented 15+ such counterexamples in "GPT, the Counterexample Machine".

Changelog

  • 2026-09-29: created

Related events

  1. OpenAI model disproves Erdős's 80-year-old unit distance conjecture ★★★★★
  2. GPT-5.5 Pro-assisted construction lowers the smallest known Borsuk counterexample dimension from 64 to 63 ★★★

Sources (3)

id: 2026-05-12-gaussian-completely-monotone-disproved · updated 2026-09-29 · open in the interactive timeline