>Models in general are generally considered “transformative works” and the copyright owners of whatever data the model was trained on have no copyright on the model. (The fact that the datasets or inputs are copyrighted is irrelevant, as training on them is universally considered fair use and transformative, similar to artists or search engines; see the further reading.) The model is copyrighted to whomever created it.
"Models in general are generally considered “transformative works” and the copyright owners of whatever data the model was trained on have no copyright on the model. (The fact that the datasets or inputs are copyrighted is irrelevant, as training on them is universally considered fair use and transformative, similar to artists or search engines; see the further reading.) The model is copyrighted to whomever created it. Hence, Nvidia has copyright on the models it created but I have copyright under the models I trained (which I release under CC-0)."
But does that still hold when the model memorized a chunk of the training data? Or can a network plagiarize output while being a transformative work itself?
I bet they can claim copyright up to the gradients generated on their media, but in the end the gradients get summed up, so their contribution is lost in the cocktail.
If I write a copyrighted text on a book, then I print a million other texts on top of it, in both white an black, mixing it all up to be like white noise, would the original authors have a claim?
>Models in general are generally considered “transformative works” and the copyright owners of whatever data the model was trained on have no copyright on the model. (The fact that the datasets or inputs are copyrighted is irrelevant, as training on them is universally considered fair use and transformative, similar to artists or search engines; see the further reading.) The model is copyrighted to whomever created it.
Source (scroll up slightly past where it takes you): https://www.gwern.net/Faces#copyright