This headline is misleading.
This headline is misleading.
In NZ there's a famous story about gold miners who were mining one side of a river, and didn't go to the other side because it was too much work. One miner's dog swam over, so the dude went to get his dog and found a motherlode.
After all, the whole LLM thing started because they started increasing the parameter counts, even though there was no particular reason an AI would get better with more parameters.
Then it’s OK, they can reproduce known attacks, but that’s just pattern matching against papers already in the training data.
Then it’s OK, they found previously unknown attacks on SpoC and a flaw in KINDI’s security proof, but those are obscure competition schemes nobody uses.
Then it’s OK, Claude found a new attack on HAWK that cuts the effective security of a NIST post-quantum signature candidate roughly in half, but HAWK isn’t deployed and a human researcher was involved.
Then it’s OK, Claude independently found a new cryptanalytic attack on AES that improves the previous best technique by 200–800×, but it’s only 7-round AES, not the full 10 rounds.
Then it’s OK, it found a practical key-recovery attack on 13-round LEA that runs in under an hour instead of requiring ~2^86 work, but LEA has 24 rounds.
Then it’s OK but none of this breaks a production cipher.
Wake me up when it breaks full AES.
Then—