this post was submitted on 06 Sep 2024
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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

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[–] freeman@sh.itjust.works -2 points 1 month ago (1 children)

Nope. The output is based on the users input in both cases.

[–] protist@mander.xyz 3 points 1 month ago* (last edited 1 month ago) (1 children)

No, the output in a word processor is explicitly created by the user, whereas the output created by a LLM is based on the training data OpenSI scraped and influenced by a user prompt

[–] freeman@sh.itjust.works -1 points 1 month ago

You need a very specific prompt to make a copy. Even to just be similar enough you have to put the proper input and try a lot of repetitions.

That's why the right holders are going after the training which included copying by the AI corpos.

In your dream land right holders could just prompt the AI till it spit something close to their work and sue the AI corp for that. Repeat as needed ; infinite money glitch.

Obviously it doesn't work that way.