> Bittorent is not a relevant example, because the system is designed to restore the work in its fullness.
You can restore shredded documents with enough time and effort. And if you did that and started making photo copies, even if they are incomplete, you will run afoul of copyright law.
Bittorrent is a relevant example because it shows that shredding doesn't destroy copyright.
Remember, copyright is about the right to copy something. Simply shredding or destroying a thing isn't applicable to copyright. Nor is giving that thing away. What's applicable is when you start to actually copy the thing.
I've meant idealized shredding: a destructive transformation, which is still a machine transformation (think blender instead of shredder). When you need the exact knowledge of a thing to make its (imperfect) copy using some mechanism, it doesn't mean that the mechanism violates copyright.
EDIT: I don't say that neural networks can't rote learn extensive passages (it's an effect of data duplication). I'm saying that they are not designed to do that and it's possible to prevent that (as demonstrated by the latest models).