Earlier quoted context omitted.
If the tool can generate the efficient methods of achieving a result, I think it becomes obvious that one shouldn’t be able to protect it via IP law. But these kinds of tools can only do that because someone else already put in the work to write the solutions that are used to train their models. Isn't this exactly the kind of situation when copyright is supposed to apply?
But with enough training data, it's not generating it because it remembers the exact code line for line, it does it because it knows that to be a good method. Especially if you ask it to refactor it, that's a whole new creation even if it's been done before by some engineer somewhere.
If you want to make an argument that math or software shouldn't be copyrighted, LLMs actually make the case for stronger copyright protections.