What was already known
Earlier results gave ergodicity under genericity or rapid rational-approximation conditions and weak mixing for a dense Gδ family of polygons, not every irrational triangle.
AI involvement
OpenAI credits itself as manuscript author and states that its internal frontier model produced the results in this release. Individual human input is not detailed enough to establish task-only autonomy.
OpenAI is named as author on the manuscript, and its release attributes the results to an internal frontier model. The individual human input is not detailed enough to establish autonomy.
Importance
Proves weak mixing for each irrational triangular billiard without a genericity or Diophantine condition.
Limitations
The statement is about the full Liouville phase space after removing vertex-hit trajectories. The linked Lean scope establishes ergodicity, which is weaker than weak mixing; no completed check of weak mixing is documented.
Technical verification
Reported is the default when evidence for a higher level is insufficient. The OpenAI-authored manuscript reports and argues the result, but the reviewed sources do not document a completed check of the full assessed claim.
Human understanding
Few is the default when evidence for a higher level is insufficient. No named person is documented as explaining the central argument for this assessed contribution.
Correction and publication history
Primary manuscript, attribution, prior-work, and Lean-scope mismatch review for non-notifying local inclusion.
Read this published revision