@simon @luis_in_brief @wwahammy @matt @danilo @maria It's like a windowed superimposition where there are often large supports where the window value against a particular piece of training data is 1.0. I don't see that as materially different from "copy and paste". It is very much "interpolated plagiarism", and it's been documented that there's explicit stripping of identifying characteristics to cover up the similarity to source material.