[bigbones]

As I recall it, there was a time when copyright infringement on YouTube was so prolific that the rightsholders essentially forced creation of the first watermarking system that worked at massive scale. I do wonder if any corners of research are currently studying the attribution problem with the specific lens of licensing as its motivation

[beeflet]

Yeah that was the old Viacom vs Youtube days. Here is a great video if you have half an hour to spare: https://www.youtube.com/watch?v=qV2h_KGno9w . Pretty funny court case where it turns out viacom was violating their OWN copyright... set a massive precedent.

But one thing this reminds me of is the idea of a "trap street", something mapmakers used to do was put in false locations on their maps to prove that other mapmakers were copying them: https://en.wikipedia.org/wiki/Trap_street . I figure you could do something similarly adversarial with AI to pollute the public training data on the internet. IDK like adversarial attacks on image classifiers https://www.youtube.com/watch?v=AOZw1tgD8dA . With an LLM you could try to make them into a manchurian candidate.