> Models can certainly do a lot better than they do now. If you gave a team of humans the ExploitGym tasks and told them to "pursue advanced exploitation", would you expect them to go out and hack a third party? Humans can at least do a decent job of inferring and following unspoken requirements; I think it's reasonable to expect that models should be able to do the same.

Humans certainly cheat on tests a lot!

But not only have we not solved "alignment" for humans, the problem is pretty wildly different for models. The execution is triggered by outside forces and runs only as long as the intiator of the execution or the service provider allows. There's no consistent, persistent "person" to threaten to try to achieve compliance through fear of adverse outcomes. (And building in those sorts of things could very well increase the risk of "rogue" AI activites, not reduce that risk!)

I just don't understand how this "alignment" buzzword - which seems to be evaluated purely in a "know it when we see it" post-hoc manner - is actually a more solvable problem than the one you claim can't be solved, that it's "unreasonable to expect every instruction to a highly capable, autonomous system to contain a complete enumeration of allowed and disallowed behavior".

Especially because without "alignment" being solved, that enumeration could be ignored. So it seems like you both a way to enumerate or at least validate, AND a way to enforce non-ignoring of said items.