[slowmovintarget]

Doesn't "the AI" train on art produced by people? "Just expand the dataset, just increase the parameters" seems like it should hit a wall fairly quickly... and still not be very good, because deep learning systems have no insight.

[sinenomine]

Every instagram, facebook, and tiktok photo with associated text data is a potential pair for training.

In the smartphone age, the case for data hunger looks pretty weak.

[notahacker]

But not as weak as the case that the route to production grade commercial art is reached via biasing the training dataset more towards sloppy social media images...

[sinenomine]

There is no problem here, for any moderately "in" person it's obvious you can bias the model towards aesthetics by concentrating the highly liked images in the dataset. And if it isn't enough, just ask your audience to sometimes rate the aesthetics of the image and use this as a signal for dataset curation.

Artistic styles are often just thin semantic filters over the base 3d geometry that can be learned from photos, and learning these shouldn't require many examples.