Feeding unpublished core ideas into ChatGPT could result in them being directly copied. Recently, Tristan Buckmaster, a mathematics professor at New York University, publicly warned against inputting original research into OpenAI tools. He and researchers from Anthropic spent over half a year tackling the $1 million Navier-Stokes problem, previously using a paid Codex account to run code, with all drafts stored on OpenAI’s servers. The professor revealed that before disclosing his real name, OpenAI had made no progress on the problem—but within a single day after he did, OpenAI’s model suddenly advanced to exactly their current stage, followed by the immediate publication of a mathematical proof. Although OpenAI insists prompts are never used to train its systems, the training switch on researcher accounts remains enabled by default, making this coincidence suspiciously precise.