I don't understand why it's even a question that Meta trained their LLM on copyrighted material. They say so in their paper! Quoting from their LLaMMa paper [Touvron et al., 2023]: > We include two book corpora in our training dataset: the Gutenberg Project, [...], and the Books3 section of ThePile (Gao et al., 2020), a publicly available dataset for training large language models. Following that reference: > Books3…
There are two different things when it comes to discussing training LLM's on "copyright" protected data, and I almost never see people differentiate. 1.) Training on copyright that is publicly available. You write a poem and publish it online for the world to read. That is your IP, no one else can take it an sell it, but they are free to read and be inspired by it. The legalitly of training on this is in the courts,…
This is distinct from (1) where the content is streamed or only ephemeral/incidental copies are made.