Avram Piltch is the editor in chief of Tom’s Hardware, and he’s written a thoroughly researched article breaking down the promises and failures of LLM AIs.
Every human work isn’t mechanically derivative. The entire point of the article is that the way LLMs learn and create derivative text isn’t equivalent to the way humans do the same thing.
It’s complete and utter nonsense and they’re bad people for writing it. The complexity of the AI does not matter and if it did, they’re setting themselves up to lose again in the very near future when companies make shit arbitrarily complex to meet their unhinged fake definitions.
But none of it matters because literally no part of this in any way violates copyright law. Processing data is not and does not in any way resemble copyright infringement.
This issue is easily resolved. Create the AI that produces useful output without using copyrighted works, and we don’t have a problem.
If you take the copyrighted work out of the input training set, and the algorithm can no longer produce the output, then I’m confident saying that the output was derived from the inputs.
There is literally not one single piece of art that is not derived from prior art in the past thousand years. There is no theoretical possibility for any human exposed to human culture to make a work that is not derived from prior work. It can’t be done.
Derivative work is not copyright infringement. Straight up copying someone else’s work directly and distributing that is.
