> The point of attribution and copyright is to create a creator/inventor-friendly environment. They're building a class, but, beyond that, I'm not really confi

> The point of attribution and copyright is to create a creator/inventor-friendly environment. They're building a class, but, beyond that, I'm not really confident there are any parties that feel like they've been harmed by what they're claiming is a violation. Microsoft didn't just copy repositories from GPL licensed code, but from other companies too. Why didn't these companies care? It is a good counter point though, as Waymo has released datasets that can only be used under a license. While at the same time, GitHub did not initially use discretion for people who had agreed to their terms of service and were using their hosted repositories. While I think the legal system might lean towards enforcing consent to use the data in certain circumstances, on the technical side, if it's really a generalization that is resulted from training, the initial data is meaningless in the final model. It could be argued that it did not harm this company economically because the model trained without the data would still have an almost equivalent financial impact. > It’s okay to vote for or against that, but the potential systemic effect of that vote should also be kept in mind. My position above was clear, I do not think the law should be changed yet. The systematic change is from someone stating a violation happening when I do not believe that it is a violation. This lawsuit could result in models like Stable Diffusion becoming illegal, which I view as incredibly harmful to the future of artificial intelligence research.