zlacker

> But it doesn't matter, because LLMs that try to use a class will get an error message and rewrite their code to not use classes instead.

This is true in a sense, but every little papercut at the lower levels of abstraction degrades performance at higher levels as the LLM needs to spend its efforts on hacking around jank in the Python interpreter instead of solving the real problem.

>>jstanl+(OP)
It is a workaround, so we can assume that this will be temporary and in the future the ai will then start using them once it can. Probably just like we would do.

>>qwerto+g8
Thw entire AI stack is built on a lot of "assumes" about intelligent selection.

Reminds of evolutionary debate. Whats important is just because something can learn to adapt doesnt mean theyll find an optimized adaption, nor will they continually refine it.

As far as i can tell AI will only solve problems well where the problem space is properly defined. Most people wont know how to do that.