[bee_rider]

How do you define a percent error margin on the typical output of something like ChatGPT? IIRC the image generation folks have started using metrics like subjective users ratings because this stuff is really difficult to quantify objectively.

[airstrike]

IMHO the terribly overlooked issue with generative AI is that the end users' views of the response generated by the LLM often differs greatly from the opinion of the person actually interacting with the model

this is particularly evident with image generation, but I think it's true across the board. for example, you may think something I created on midjourney "looks amazing", whereas I may dislike it because it's so far from what I had in mind and was actually trying to accomplish when I was sending in my prompt

[epolanski]

Your last paragraph is true regardless of how the image was generated.

One can find anything YOU produce to have different qualities from you.

[airstrike]

True, but generally what art I produce IRL is objectively terrible, whereas I can come up with some pretty nice looking images on Midjourney.... which are still terrible to me when I wanted them to look like something else, but others may find them appealing because they don't know how I've failed at my objective

In other words, there are two different objectives in a "drawing": (1) portraying that which I meant to portray and (2) making it aesthetically appealing

People who only see the finished product may be impressed by #2 and never consider how bad I was at #1