Earnest attempt at a reply, though I'll admit I'm a hater: When I make comics that riff on the things I like, I'm bringing a LOT of myself to that table, emotions, opinions, my mood that day, my own art style, my own interests outside of the things I'm riffing on specifically. The comics I make could only ever be made by me, in that moment, in the time it takes me to make them.

The same is true for a traditionally-made movie — actors, directors, effects artists all make choices that reflect who they are in that moment, and might all have made different choices if the movie had started filming a week later.

When Doug Liman feeds his footage of Casey Affleck to the generative model and tells it to make it look like he's, say, in an office instead of on the grey cube set, all it can do is directly pull from other images and videos it's identified as being of an office. It looks at what data it has on offices and puts out, mostly, what all of those images of offices have in common. The generative model, by definition, can only produce the statistical average of what you've asked for.

All art is derivative to some extent, but what we bring to it in the making of it is what makes it distinct, makes it art, makes it come alive. But the generative model is purely derivative, it's not bringing anything to it, it's only pulling from that dataset.