zlacker

>>dredmo+(OP)
Surely, if the next Stable Diffusion had to be trained from a dataset that has been purged of images that were not under a permissive license, this would at most be a minor setback on AI's road to obsoleting painting that is more craft than art. Do artists not realise this (perhaps because they have some kind of conceit along the lines of "it only can produce good-looking images because it is rearranging pieces of some Real Artists' works it was trained on"), are they hoping to inspire overshoot legislation (perhaps something following the music industry model in several countries: AI-generated images assumed pirated until proven otherwise, with protection money to be paid to an artists' guild?), or is this just a desperate rearguard action?

>>4bpp+65
Imagine you are an artist and you have developed your unique style.

Would you mind if AI starts creating art like yours?

What if your clients tell you they bought the AI generated art instead of yours?

>>Tepix+N5
The big issue is precisely this, yeah, living* artists are upset that an ai can take their own names as input and output their artistic styles, that's the big thorn with these ml systems

There is a secondary issue on that there is other people being able to craft high quality images with strong compositions without spending the "effort/training" that artists had to use over years to produce them, so they are bitter about that too, but that's generally a minor cross-section of the publicvoutcry tho they are quite vitriolic

Photobashing, tracing, etc there have always been a layer of purists whom look down on anyone that doesn't "put the effort in" yet get great results in a timely manner, these purists will always exist, just like how it was when digital painting was starting, people were looked down by oil painters for not putting the effort in, even when oil painters themselves used tricks like projectors to the empty blank canvas to get perspective perfect images, but that's just human nature to a degree, trying to put down other people while yourself doing tricks to speed up processes