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CodeSgt | 2 years ago
We can see a clear timeline of art and it’s progression throughout human history, and it’s often clear how a later work took inspiration from an earlier period.
Art school teaches techniques and methods pioneered by earlier artists, for the express purpose of their students to know how to incorporate them into their own original work.
Yet, no one is arguing that Van Gogh’s descendants should be paid a small royalty anytime a variation of on of his painting is produced, or even just when a painting in the style of one of his is produced.
Were all visual artwork to disappear from the world and collective human memory today, then the first new pieces produced by artists would look dramatically different - and likely much worse - than they do today.
What AI is doing is no different. Perhaps faster and on a larger scale than how humans learn from one another, but principally it’s the same.
ToucanLoucan|2 years ago
I like how you just tucked this at the end there without any introspection on what kind of a paradigm shift that is. If you wanted a "Van Gogh style painting," you'd contract with a painter who specialized in it, and no, his descendants don't get royalties from that (which is an interesting discussion to have, I'm not sure they should, but I haven't thought about it but anyway) but you are paying a human creative to exercise a vision you have, or, from another perspective, perhaps a person goes into creating these style of paintings to sell as a business. Again the idea of royalties isn't unreasonable here but I digress.
Now, with these generative art algorithms, you don't need a person to spend time turning your/their idea into art: you say "I want a picture of a cat in Van Gogh's style" and the machine will make you dozens, HUNDREDS if you want, basically as many as you can stomach before you tell it to stop, and it will do it (mostly) perfectly, at least close enough you can probably find what you're looking for pretty quickly.
Like, if you can't tell why that's a PROBLEM for working artists, I'm sorry but that's clearly motivated reasoning on your part.
CodeSgt|2 years ago
ethbr1|2 years ago
A human takes ~4-20 years to become a good artist. They can then produce works at a single human rate.
A model takes ~30 days to become a good artist. It can then produce works at an effectively infinite rate, only bounded by how many GPUs and much electricity can be acquired.
These are very different economic constraints and therefore require different solutions.
signatoremo|2 years ago
This is often listed as the reason why it’s ok for human to learn from a prior art, but not for a LLM. The question is why? If the act of learning is stealing, then it is still stealing, no matter how small scale, and every single human on earth has committed it.
The LLM vendor may benefit more than a mere mortal pupil because of the scale and reach. At the same time the LLM may make the prior art more visible and popular and may benefit the original creator more, even if only indirectly.
Also if content creators are entitled to some financial reward by LLM vendors, it is only appropriate that the creators should pay back to those that they learn from, and so on. I fail to see how such a scheme can be set up.
YeGoblynQueenne|2 years ago
They learn from each other and then give back to each other, and to everyone else, by creating new works of art and inventing new styles, new techniques, new artf-orms.
What new styles, techniques or art-forms has Stable Diffusion created? How does generative AI contribute to the development and evolution of art? Can you explain?