I saw a comment (which I can’t find anymore) of an extremely astute observation about LLMs:

People only ever attribute human-like attributes like cognition and reasoning to chatbot LLMs—but never to e.g. image generators. Which use the same algorithms and technical implementation.

@thomasfuchs the image generators are way worse in faking understanding than the text generators.

The generated images show clearly that the thing really doesn't understand a word of what you wrote in the prompt. If you ask for a very specific thing and that is not in the image than there is no denying.

The text generator is good at incorporating details from the prompt into the output. Even if the output is factual wrong. So the user feels heard and understood.

@thomasfuchs when the whole LLM thing started I was shocked (still am) how useless the Touring Test really is. How easy it is to make people believe that there is another person on the other side of the chat window.
@themipper @thomasfuchs Was very tickled this week when a young woman in our chorale tried to render an Instagram sketch-style drawing (I think she wrote) of our group performing in a church and it turned Jesus on the cross into a woman in crop top, miniskirt and apparent pantyhose, given the sheen of the legs. It could've done our reputation a bit of damage 😬