Incorrect. Training images are used to generate a latent manifold which might not contain any of the images in the original training set to within a meaningful delta unless they're massively overrepresented or cliche.
I have seen very few practical cases of generative models such as copilot and even less of a stable diffusion of reproducing original copyrighted works in exact detail, and the few that I did encounter were instructed torturously to do so, which strikes me as highly contrived.
I happened to have missed those discussions, do you have some links you can point towards? thanks!
https://githubcopilotlitigation.com/
Both along with their respective HN threads.
Even in my overfitted dreambooth model of my wife it doesn’t pop out the exact same portraits.
This feels like an argument for communism being the most productive system in theory. Most of the time I feel like I see uninspired material that’s tracing it’s own training data.
Machines currently are adept at making copies within a delta, hence articles such as this to limit copyright so the people who operate said machines can profit.