Earlier quoted context omitted.
> how is it unfixable? > assuming you get to do gradient descent AND the context is fixed+known AND you have unlimited compute? sure so... it's possible to attack these models with the formulation i described, just with some particular assumptions. the AI safety/security problem is about trying to make this sort of thing very difficult to do, so much so that an attacker wouldn't try. that's not fixing the problem, th…
> that's not fixing the problem, that's mitigating the problem is there anything humanity ever "fixed" then? surely it's possible in principle to solve at least some things that weren't solved yet > approximation functions, not pure functions how is approximation function not a pure function? > non deterministic you can set topk=1 or think in terms of distributions; still might have some undocumented non-determinism,…
You have made it abundantly clear that you don't know the fundamentals. If you want people to consider the arguments you put forth, you will need a better understanding of the problem domain. Go study, come back when you can contribute.