Funny thing is it doesn’t happen in LLMs, even if you use couple generations old and in “low effort” settings (which makes mistakes much more often). I don’t know if they have multiple layers of LLMs reconciling the output with the prompt (like how DeepSeek filters certain…ahem…“topics”)
Makes you wonder if it is an architectural thing. It still used a place holder to refer to the elephant in both cases so maybe the AI generating images just use their best version of “that”, don’t know.
Funny thing is it doesn’t happen in LLMs, even if you use couple generations old and in “low effort” settings (which makes mistakes much more often). I don’t know if they have multiple layers of LLMs reconciling the output with the prompt (like how DeepSeek filters certain…ahem…“topics”)
Makes you wonder if it is an architectural thing. It still used a place holder to refer to the elephant in both cases so maybe the AI generating images just use their best version of “that”, don’t know.