The question is: If biological, computer security, and ML research are so bad, why do they even train on the relevant data?
The only answer that makes sense is they wanted the model to be competent and usable in these fields, just not by you, which is why they had to bolt on a badly functioning crippling device after the fact.
Is what you suggest about training even possible? Most exploitation techniques are really just about having in-depth knowledge of how components work. For example, I imagine a sufficiently powerful model could fairly easily re-invent the ROP chain from first principles if it just knew how the stack works. This same principle applies to much more complex attack too; exploitation is often just an exercise in knowing vastly too much trivia, which LLMs tend to have in spades.
It would still degrade it's effectiveness, which is what they claim to want. Exaggeratedly: If it wasn't so, you'd just need fundamental math in the training data, as everything else can be derived.
so only the chosen for-profit companies by Anthropic are allowed to use frontier ai in the name of safety? what kind of joke is that? you people here can't be that dumb..
The only answer that makes sense is they wanted the model to be competent and usable in these fields, just not by you, which is why they had to bolt on a badly functioning crippling device after the fact.