[Silhouette]

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?

[kaliqt]

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.

[bad_user]

It's still parroting what other people did, it's not doing any math reasoning, and it's not any different to LLMs seemingly able to compose prose or poetry.

If you want to make an argument that math or software shouldn't be copyrighted, LLMs actually make the case for stronger copyright protections.

[generic92034]

> If you want to make an argument that math or software shouldn't be copyrighted, LLMs actually make the case for stronger copyright protections.

Maybe, but as long as managers and shareholders all over the world are excited about the upside of the new technology, this is very unlikely to happen. ;)

LLMs would be dead in the water legally, if their owners had to account for every bit of IP the LLMs have been trained with.