Earlier quoted context omitted.
I think you're accidentally making a jump in meta-levels: The equivalent of an existing handwriting recognizer for e.g. RSA wouldn't be a model that tells you how to crack RSA, it'd be a model that _does_ crack it (maybe by returning a probability distribution over the plaintext that's better than uniform). That feels pretty unlikely to me personally, but maybe that's doable, who knows. For the standard of "the LLM t…
> The equivalent of an existing handwriting recognizer for e.g. RSA wouldn't be a model that tells you how to crack RSA, it'd be a model that _does_ crack it (maybe by returning a probability distribution over the plaintext that's better than uniform). That feels pretty unlikely to me personally, but maybe that's doable, who knows. Well, my point was based on the assumption that there is a flaw/backdoor in RSA, but n…
Right, I'm saying that this is the thing that's dissimilar from handwriting recognition -- the nearer equivalent would an LLM creating a textual description of a novel approach to handwriting recognition, which as far as I'm aware, is beyond current models.