Comment by AnthonyMouse

It seems like you're responding to a question about training by talking about inference. If you train an LLM because you want to use it to do sentiment analysis to flag social media posts for human review, or Facebook trains one and publishes it and others use it for something like that, how is that doing anything to the market for the original work? For that matter, if you trained an LLM and then ran out of money without ever using it for anything, how would that? It should be pretty obvious that the training isn't the part that's doing anything there.

And then for inference, wouldn't it depend on what you're actually using it for? If you're doing sentiment analysis, that's very different than if you're creating an unlicensed Harry Potter sequel that you expect to run in theaters and sell tickets. But conversely, just because it can produce a character from Harry Potter doesn't mean that couldn't be fair use either. What if it's being used for criticism or parody or any of the other typical instances of fair use?

The trouble is there's no automated way to make a fair use determination, and it really depends on what the user is doing with it, but the media companies are looking for some hook to go after the AI companies who are providing a general purpose tool instead of the subset of their "can't get blood from a stone" customers who are using that tool for some infringing purpose.