u/DefinitionNew3542

Thats what Generative AI is designed to do. It doesn't photobash its training data. It doesn't google search images to cut up. It doesnt blend them together.

It studies patterns (ML, MV, has been in use for decades in your local post offices to read your shitty handwriting because it turns out everyone writes a little differently. To automate it, it needs to learn how to identify them) and utilizes multiple layers of pattern recognition to be able to recognize the differences between dogs, cats, cows, humans, red vs blue, cars vs trucks. These models have been in use for a *LONG* time (first YOLOV model released in 2015). Including being fed artist imagery so it can identify "this is a picasso" and "this is a monet". These very same models are also the ones being used by surveillance cameras to identify you on the street.

Your precious art is being fed into these types of models so they can learn patterns and identify them. Nobody cared until someone figured out a way of transforming the data to spit new images back out. Novel images.

That is the "generative" part. Creating new things based on the patterns it has learned. Just. Like. You.

(Yes, on a technical/physical level, these models do not "learn like a human" - we get that)