I'm not sure this invalidates anything I'm saying. The tools currently produce terrible-quality output unless actively prompted to stop producing terrible-quality output. To me, that's a bug, and I don't think post-training and popular preference excuses the tool's behavior. There's no value in normalizing slop if it's so easy to fix.

Should Youtube "fix" the proliferation of exaggerated faces in thumbnails?

People prefer the slop, at least until they collectively notice the AI smell, at which point the post training will likely train it out of models and slop will have new characteristics that take a while for the mainstream to detect.