I'm going to draw a line with AI at what I call the "eyes on forehead" problem. With Ai Image rendering, there is the emergent trend of AI images being like a horror film, with faceless and extra-features on faces.

When AI is using a LLM dataset to fill in the gaps, it becomes a problem, because it's guessing what should be there when the "natural" noise would be better depicting nothing. Predictive vectors such as SVG use smooth images. i think the rasterization of a dataset turns single pixels into quasi-intelligible datapoints, but when treated indendently by a dumb AI, ends up rendering eye balls on a forehead. This is your problem, not mine. Please fix it.