> There seems to be 0 mentioning of training there. In fact if you read the appeal's court case [1] they don't mention training either:

> ...

> I have no idea where you got the idea that this was about training data. Neither the copyright office nor the appeals court even mention this.

In both the story and the comments, that's the prevailing complaint. FTFA:

> Their claim that it is a “complete rewrite” is irrelevant, since they had ample exposure to the originally licensed code (i.e. this is not a “clean room” implementation). Adding a fancy code generator into the mix does not somehow grant them any additional rights.

I mean, I know it's passe to read the story, but I still do it so my comments are on the story, not just the title taken out of context.

> But anyway, since we're here, let's entertain this. So you're saying that training data is the differentiator.

Well, that's the complaint in the story and in the comment section, so it makes sense to address that and that alone.

> OK. So in that case, would training on "your own data" make this ok with you?

Yes.

> Would training on "synthetic" data be ok?

If provenance of "synthetic data" does not depend on some upstream ingesting someone else's work, then yes.

> Would a model that sees no "proprietary" code be ok?

If the model does not depend on someone else's work, then Yes.

> Would a hypothetical model trained just on RL with nothing but a compiler and endless compute be ok?

Yes.

*Note: Let me clarify that "someone else's work" means someone who has not consented or licended their work for ingestion and subsequent reproduction under the terms that AI/LLM training does it. If someone licensed you their work to train a model, then have at it.