I did mean AI's in general, so I have edited my original post.
> That’s what negative prompt is for.
This is what I mean by it "not understanding negations" You need whole separate prompt, just to say you want e.g. "ramen without egg" instead of just saying it in a single prompt that it understands.
They generally do. It is difficult to differentiate "negative tokens don't do that" and "prompt adherence is shaky in general".
It's fully possible that the image model draws eggs in ramen but it doesn't know that the egg is an egg and therefore any attempts to interact with it via the egg token are futile. Generally speaking though thing:-1 should reduce the presence of thing for well understood concepts. It's a better tool on second pass alterations of an image.
You're not correct about AIs in general. Both chat LLM models and sentence embeddings can handle negation just fine. (Ask any chat "what clothes would a person wear if they weren't wearing a hat") Here it was simply not trained for that purpose. Maybe it wasn't worth it, maybe the creators thought that the negative prompt is enough, maybe the time was better spent on other examples. They way, it's not AIs in general, and it's not a tech limitation.
