Claude Cracks a Cryptographic Mystery, and a PS5 Runs an LLM

The Claude ECDSA origins story generated 892 upvotes and 333 comments — among the highest-engagement research posts on Hacker News this week. Anthropic published research in which Claude helped reconstruct the historical origins of the elliptic curve parameters used in ECDSA, the Elliptic Curve Digital Signature Algorithm underlying a substantial fraction of internet security, including Bitcoin, TLS connections, and SSH authentication. The worry that has persisted in the security community for decades is what cryptographers call the 'nothing-up-my-sleeve' problem: if the parameters defining these curves were chosen through a process that could have been manipulated by someone with knowledge of a backdoor, the security guarantees of the entire system could be undermined.

The NSA's involvement in standardizing some of these curves in the early 2000s has kept that concern alive, particularly after the DUAL_EC_DRBG backdoor — a different but related standard — demonstrated the concern was not purely theoretical. Anthropic's research apparently used Claude to systematically analyze historical documents, papers, and correspondence related to the curve parameter selection process, looking for evidence of the actual mathematical rationale used by the original designers. The security community has generally operated under the assumption that the most widely deployed curves — P-256, P-384, secp256k1 — are probably fine, but 'probably fine' in cryptography is not a comfortable position. Any evidence illuminating the selection rationale, even historically, improves the foundation.

Multiple HN commenters flagged the meta-story: using a language model to synthesize evidence across a large corpus of historical technical documents and identify patterns across material that would be impractical for a single researcher to work through is exactly the kind of task where current models have genuine leverage. It requires reading comprehension at scale and cross-referencing across documents — not novel mathematics. Anthropic also published related research on using Claude to design more efficient quantum circuits, a domain where the optimization landscape is notoriously difficult, earning 147 points and 32 comments.

The PS5 llama.cpp story — 299 points, 74 comments — is the kind of post HN rewards for the spirit of the endeavor. A developer published a GitHub project called PS5LM enabling GGUF-format quantized models to run natively on a jailbroken PlayStation 5. The PS5's custom AMD architecture includes a reasonably capable GPU, and with a jailbreak allowing unsigned code, it becomes an accessible inference platform. Performance is modest — smaller models in the 3 to 7 billion parameter range run with acceptable latency — but the community discussion is partly about what this implies for the broader 'run models anywhere' movement. A related Show HN entry, the llmspeed tool, lets users simulate inference speed on specific hardware configurations before committing to a purchase, earning 97 points by solving a practical problem: the difference between 5 tokens per second and 50 is the difference between a tool someone will actually use and one they will abandon.