| > future artists having their jobs taken by AIs that's simply not going to happen. as in every technological development so far, this is just another tool. 1) artists create the styles out of thin air 2) artists create the images out of thin air 3) computers are just collectors of this data and do not actually originate anything new. they are just very clever copycats. you're looking at an artist tool more than anything. sure, it's an unconventional one and a threatening one, but that's been true of literally every technological development since the Industrial Revolution. |
Also, I'm not so sure that language models like SD, Imagen, GPT-3, PaLM are purely copycats. And I'm not so sure that most human artists are not mostly copycats either.
My suspicion is that there's much more overlap between how these models work and what artists do (and how humans think in general), but that we elevate creative work so much that it's difficult to admit the size of the overlap. The reason why I lean this way is because of the supposed role of language in the evolution of human cognition (https://en.m.wikipedia.org/wiki/Origin_of_language)
And the reason I'm not certain that the NN-based models are purely copycats is they have internal state; they can and do perform computations, invent algorithms, and can almost perform "reasoning". I'm very much a layperson but I found this "chains of thought" approach (https://ai.googleblog.com/2022/05/language-models-perform-re...) very interesting, where the reasoning task given to the model is much more explicit. My guess is that some iterative construction like this will be the way the reasoning ability of language/image models will improve.
But at a high level, the only thing we humans have going for us is the anthropic principle. Hopefully there's some magic going on in our brains that's so complicated and unlikely that no one will ever figure out how it works.
BTW, I am a layperson. I am just curious when we will all be killed off by our robot overlords.