This is the kind of AI story that outweighs any benchmark: a frontier model doing genuine forensic work on a problem cryptographers had shelved for decades. The 'under 30 minutes' framing flatters the machine, though — the hard part was framing the hunt, and verification is trivial once a candidate surfaces; Claude's real contribution was search and hypothesis generation at a scale no human team would bother with. The finding also defuses decades of paranoia: if the seeds trace back to a mundane C library RNG, a deliberate trapdoor looks far less plausible, though skeptics will note this doesn't certify the curve constants themselves as clean. For Anthropic it's the best kind of demo — unscripted, verifiable, and actually useful to the security community. Expect more 'AI cracks cold case' moments in cryptography and vulnerability research; you're watching LLMs turn from coding assistants