Those claiming AI training on copyrighted works is “theft” misunderstand key aspects of copyright law and AI technology. Copyright protects specific expressions of ideas, not the ideas themselves. When AI systems ingest copyrighted works, they’re extracting general patterns and concepts - the “Bob Dylan-ness” or “Hemingway-ness” - not copying specific text or images.
This process is akin to how humans learn by reading widely and absorbing styles and techniques, rather than memorizing and reproducing exact passages. The AI discards the original text, keeping only abstract representations in “vector space”. When generating new content, the AI isn’t recreating copyrighted works, but producing new expressions inspired by the concepts it’s learned.
This is fundamentally different from copying a book or song. It’s more like the long-standing artistic tradition of being influenced by others’ work. The law has always recognized that ideas themselves can’t be owned - only particular expressions of them.
Moreover, there’s precedent for this kind of use being considered “transformative” and thus fair use. The Google Books project, which scanned millions of books to create a searchable index, was ruled legal despite protests from authors and publishers. AI training is arguably even more transformative.
While it’s understandable that creators feel uneasy about this new technology, labeling it “theft” is both legally and technically inaccurate. We may need new ways to support and compensate creators in the AI age, but that doesn’t make the current use of copyrighted works for AI training illegal or unethical.
For those interested, this argument is nicely laid out by Damien Riehl in FLOSS Weekly episode 744. https://twit.tv/shows/floss-weekly/episodes/744
It’s not a breach of copyright or other IP law not to cite sources on your paper.
Getting your paper rejected for lacking sources is also not infringing in your freedom. Being forced to pay damages and delete your paper from any public space would be infringement of your freedom.
I’m pretty sure that it’s true that citing sources isn’t really relevant to copyright violation, either you are violating or not. Saying where you copied from doesn’t change anything, but if you are using some ideas with your own analysis and words it isn’t a violation either way.
With music this often ends up in civil court. Pretty sure the same can in theory happen for written texts, but the commercial value of most written texts is not worth the cost of litigation.
I mean, you’re not necessarily wrong. But that doesn’t change the fact that it’s still stealing, which was my point. Just because laws haven’t caught up to it yet doesn’t make it any less of a shitty thing to do.
When I analyze a melody I play on a piano, I see that it reflects the music I heard that day or sometimes, even music I heard and liked years ago.
Having parts similar or a part that is (coincidentally) identical to a part from another song is not stealing and does not infringe upon any law.
You guys are missing a fundamental point. The copyright was created to protect an author for specific amount of time so somebody else doesn’t profit from their work essentially stealing their deserved revenue.
LLM AI was created to do exactly that.
It’s not stealing, its not even ‘piracy’ which also is not stealing.
Copyright laws need to be scaled back, to not criminalize socially accepted behavior, not expand.
The original source material is still there. They just made a copy of it. If you think that’s stealing then online piracy is stealing as well.
Well they make a profit off of it, so yes. I have nothing against piracy, but if you’re reselling it that’s a different story.
But piracy saves you money which is effectively the same as making a profit. Also, it’s not just that they’re selling other people’s work for profit. You’re also paying for the insane amount of computing power it takes to train and run the AI plus salaries of the workers etc.