I've generally been very impressed with genAI artwork in "impressionist" styles. But thinking about how the diffusion models work, that seems like exactly what you'd expect them to be good at. Things that call for perfectly straight lines and constrained patterns (and explicitly symbolic elements, like text) seem to be considerably harder but apparently very doable now.

There is still obvious genAI slop being put out there all the time, and you can tell it's genAI slop because it's slop: even doing something at that level by hand would be more time and effort than anyone would bother putting in unless it's paid work that then justifies getting it right and doing it professionally. But now that the sloption exists, there's a flood of people taking it.

Prose, on the other hand, is another story. It became possible to produce "grammatically correct, academic-sounding and generally using words to mean what they actually mean" very quickly, but years later it's still rarely if ever good, it just goes through varying different quirks. Maybe part of this is that the training data can't properly reflect what the target audience was for various pieces of text. A lot of it, surely, is that many people are easily impressed by "grammatically correct, academic-sounding and generally using words to mean what they actually mean", and don't themselves have much of a sense for actually good writing.