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Also... Maybe I am naive, but it seems rather trivial to work around with a quick prefilter? I don't know if tradition denoising would be enough, but worst case you could run img2img diffusion.
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My issue with this line of argument is that it’s anthropomorphizing machines. It’s fine to compare how humans do a task with how a machine does a task, but in the end they are very different from each other, organic vs hardware and software logic. First, you need to prove that generative AI works fundamentally the same way as humans at the task of learning. Next you have to prove that it recalls information in the sa…
This seems to introduce levels of artifacts that many artists would find unacceptable: https://twitter.com/sini4ka111/status/1748378223291912567 The rumblings I'm hearing are that this a) barely works with last-gen training processes b) does not work at all with more modern training processes (GPT-4V, LLaVA, even BLIP2 labelling [1]) and c) would not be especially challenging to mitigate against even should it become…
Denoising is probably a good preprocessing step anyway.
With this "solution" it looks like the world of art enters the cat-and-mouse game the ad blockers were playing for the last decade or two.
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My issue with this line of argument is that it’s anthropomorphizing machines. It’s fine to compare how humans do a task with how a machine does a task, but in the end they are very different from each other, organic vs hardware and software logic. First, you need to prove that generative AI works fundamentally the same way as humans at the task of learning. Next you have to prove that it recalls information in the sa…
Our biology is mechanical, and lay people don't possess an intuition about this. Unless you've studied molecular biology and biochemistry, it's not something that you can easily grasp.
Our inventions are mechanical, too, and they're reaching increasing levels of sophistication. At some point we'll meet in the middle.
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