Previous posts: https://programming.dev/post/3974121 and https://programming.dev/post/3974080
Original survey link: https://forms.gle/7Bu3Tyi5fufmY8Vc8
Thanks for all the answers, here are the results for the survey in case you were wondering how you did!
Edit: People working in CS or a related field have a 9.59 avg score while the people that aren’t have a 9.61 avg.
People that have used AI image generators before got a 9.70 avg, while people that haven’t have a 9.39 avg score.
Edit 2: The data has slightly changed! Over 1,000 people have submitted results since posting this image, check the dataset to see live results. Be aware that many people saw the image and comments before submitting, so they've gotten spoiled on some results, which may be leading to a higher average recently: https://docs.google.com/spreadsheets/d/1MkuZG2MiGj-77PGkuCAM3Btb1_Lb4TFEx8tTZKiOoYI
AI is only good at a subset of all possible images. If you have images with multiple people, real world products, text, hands interacting with stuff, unusual posing, etc. it becomes far more likely that artifacts slip in, often times huge ones that are very easy to spot. For example even DALLE-3 can't generate a realistic looking N64. It will generate something that looks very N64'ish and gets the overall shape right, but is wrong in all the little details, the logo is distorted, the ports have the wrong shape, etc.
If you spend a lot of time inpainting and manually adjusting things, you can get rid of some of the artifacts, but at that point you aren't really AI generating images anymore, but just using AI as source for photoshopping. If you just using AI and pick the best images, you will end up with a collection of images that all look very AI'ish, since they will all feature very similar framing, posing, layout, etc. Even so no individual image might not look suspicious by themselves, when you have a large number of them they always end up looking very similar, as they don't have the diversity that human made images have and don't have the temporal consistency.