Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Use of copyrighted material in such a way that it’s aggregated into statistical properties is almost certainly fair use. Use of the model to produce reproductions of copyrighted material then consuming or distributing it is almost certainly violating the copyright. But it was the facsimile of the material that’s the violation, not the abstract use of it to generate an aggregate model.


You understand these things have a very very wide interpretation scope here that has yet to be tested in court. I wouldn’t make these statements so confidently as courts tend to reinterpret the law significantly for the balance of societal factors when serious technology changes occur.


AI generated work is not copyright-able. I guess the courts later could disagree though.

https://www.copyright.gov/ai/



If the AI generates a new Eric Clapton album, with the same similar voice and guitar playing style?


your example doesn't have to be AI generated. Human cover-bands play Song X in the style of Y all the time.


This is true - afaik there’s been no specific rulings on whether training models on copyright material is a violation. But to my mind it harkens back to stuff like xerox and such where the tool itself isn’t the violating thing it’s the use of the tool. Likewise, derivative works are often largely reproductions with minor variations and are protected under fair use. A model that takes enormous amounts of data and distills it into a tiny vector representation way below the information theoretic levels for any meaningful fidelity and mixes and overlaps data in a way that the original data isn’t plausibly stored in the model… I’m definitely not going to wager my life that’s fair use, but I would wager my company on it.


In the history of media law I’ve seen judged lean into whatever interpretation balances the ecosystem more than what is “literally the law”. The law is meant to serve people not the other way around. I hope judges will understand the contribution and theft can’t just be “haha fuck humanity love, openAI”


I want to train my own LLM on public but copyrighted data. I think this is serving humanity (and fucking OpenAI). I also think it is ethical because there's a big difference between "learning from" and "copying".

Your proposed reading of the law means only big tech will be able to afford the license fees to train on large amounts of data.


How do YOU plan on compensating those whose labor helped you? I bet you don’t. Same thing you are just imagining being David rather than Goliath makes it ok for you.


It's not always necessary to compensate those whose labor helped you. I haven't compensated many of the open source projects I use, for example, even those who clearly want me to (with nagging pop-ups). If the use of copyrightable material to train a model is legal, and it does not legally require compensation, it might be difficult to argue that the use of such material should be compensated or else. It would depend IMO on whether there are norms in place for this kind of thing, and I don't necessarily see wide agreement.


Ok, what about the open source and research models? I wouldn’t wager much on openai keeping a lead indefinitely. Certainly not to establish case law on what’s a pretty new technology (at least in its current use)


Yes, laws are about politics and dispute resolution more than reasoning or correctness. Focusing on the pure logic is a trap for the computationally inclined.




Consider applying for YC's Fall 2026 batch! Applications are open till July 27.

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: