Re:AI tooling must be disclosed for contributions
by zahlman on Thursday August 21, 2025 @10:52PM
(#44980566)
> I’m curious … So “transformative” is not necessarily “derivative”?
(not legal advice)
Transformative works are necessarily derivative, but that transformation allows for a legal claim to "fair use" regardless of making a derived work.
Re:AI tooling must be disclosed for contributions
by ipaddr on Friday August 22, 2025 @02:11AM
(#44981498)
A compression algorithm doesn't transform the data it stores it in a different format. Storing a story in a txt file vs word file doesn't transform the data.
An llm is looking at the shape of words and ideas over scale and using that to provide answers.
Re:AI tooling must be disclosed for contributions
by const_cast on Friday August 22, 2025 @10:07AM
(#44984885)
No a compression algorithm does transform the data, particularly lossy ones. The pixels stored in the output are not in the input, they're new pixels. That's why you can't uncompress a jpeg. Its a new image that just happens to look like the original. But it even might not - some jpegs are so deep fried they become their own form of art. This is very popular in meme culture.
The only difference, really, is we know how a JPEG algorithm works. If I wanted to, I could painstakingly make a jpeg by hand. We don't know how LLMs work.
Seems to me the training of AI is not radically different than compression algorithms building up a dictionary and compressing data.
Yet nobody calls JPEG compression “transformative”.
Could one do lossy compression over billions of copyrighted images to “train” a dictionary?