Technology
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Fair points on the locally run AIs, I admit I don't have experience with those and didn't realize they were run differently. I defer to your knowledge there.
I disagree on the drawing point though. Nearly every artist learns their style by learning from other artists, in the same way that every programmer learns to code by reading other code. It IS different, but I don't think it's THAT different. It's doing the exact same thing a human would do in order to create a piece of art, just faster, and automated. Instead of spending ten years to learn to paint in the style of Dali you can tell an AI to make an image in the style of Dali and it will do exactly what a human would - inspect every Dali painting, figure out the common grounds, and figure out how to replicate them. It isn't illegal to do that, nor do I consider it immoral, UNLESS you are profiting from the resulting image. Personally I view it as a fair use of those resources.
The sticky situation arrives when we start to talk about how those AIs were trained though. I think the training sets are the biggest problem we have to solve with these. Train it fully on public domain works? Sure, do what you want with it, that's why those works are in the public domain. But when you're training your AI on copyrighted works and then make money on the result? Now that's a problem.
As an artist you do not look at how 300 other artists have drawn a banana, you look at a banana and try to understand how you can use different techniques to capture the form, texture, etc. of a banana.
An AI calculates from hundreds of images the probability of lines and colours being arranged in a certain way and still being interpreted as a banana. It never sees a banana or understands what it is.
Tell me, where do you see a similarity in these two processes.