Marcus Says OpenAI's Math Result Lacks Details Needed to Judge Its Generality

Gary Marcus argues that OpenAI's math announcement omits the procedure, the model architecture, and the failure rate, so its generalizability cannot be assessed.

He says it could be a step toward AGI or a Lean-based verification trick in a verifiable domain, and the initial report cannot distinguish the two.

The post includes a quoted Terence Tao post that shares a satirical press release about a fictional film-endings repository.