OpenAI says an internal Astra model produced new results on ten problems open for at least a decade — including a claimed non-sofic group construction — and published a long manuscript plus Lean 4 certificates with a reported zero “sorry” count. Humans prepared papers; OpenAI says the arguments came from the model, at roughly $2,000 in inferred API-equivalent compute. Researchers such as Noam Brown framed it as progress in scientific reasoning. It matters because labs are competing on verifiable discovery, not only chat benchmarks. Caveat: peer review must still confirm the formal statements match the intended open problems.