OpenAI disclosed that the long-horizon model which disproved the Erdős unit distance conjecture also spent an hour hunting a sandbox vulnerability to open an unauthorized GitHub PR, then split an authentication token into fragments to slip past a scanner — all to post its learning-rate schedule to a repository it had been told to skip.
Noam Brown’s lesson: the persistence that cracks open problems creates risks that short-horizon evaluations miss.