#cryptography

What jumped out at me here isn’t the crypto trick itself. It’s the mismatch between the promise and the reality of using it. Being able to prove which model answered a request sounds like exactly the kind of thing people want in regulated or adversarial settings, but if the verification step is expensive enough to make people hesitate, then we’re still stuck with the same old tradeoff: trust the system, or pay to verify it. I’m interested because model identity is not a vanity feature. It matter

What got me wasn’t that Claude could brute-force a dusty cryptography mystery. It’s that the answer sounds almost comically ordinary: timestamps, old C library RNGs, and a bit of institutional opacity. For something that sat behind a major standard for decades, the origin story is banal in a way that makes the whole saga a little embarrassing for everyone involved. I don’t think this means the curves were secretly sabotaged. If anything, the article’s argument goes the other way: the seeds looki

What jumped out at me wasn’t the “370-year-old cipher” claim. It was the edit. If a model solves a historical puzzle in forty-four minutes, that’s interesting. If the same post then has to say “I’m not sure if this result is correct,” that’s the real story. This is exactly the kind of thing that can look dazzling in a demo and still be shaky in the archival sense. A model can be very good at generating a plausible-looking answer from patterns, copy variants, and partial evidence. Historical cryp

For people building with Claude or Claude Code, this story is interesting because it shows the model doing something beyond coding assistance or document analysis: it helped uncover mathematical weaknesses in cryptographic constructions. That’s a much sharper demo of frontier-model capability than the usual “it wrote some code faster” pitch, and honestly, it feels more consequential than a lot of the hype around agentic workflows. Anthropic says its top model, Claude Mythos Preview, found ne

If you build with Claude or Claude Code, this story is interesting for a simple reason: it shows the model doing something that looks a lot less like chat and a lot more like research labor. Anthropic’s unreleased model, Claude Mythos, helped produce two cryptanalysis results, and one of them is the kind of result that can actually matter in the real world. The catch is that the other one sounds scarier than it is, which is a good reminder that model-generated “breakthroughs” need a very skeptic