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submitted 1 year ago* (last edited 1 year ago) by popcar2@programming.dev to c/technology@lemmy.world

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

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[-] hansl@lemmy.world 23 points 1 year ago

Maybe you didn’t recognize the AI images in the wild and assumed they were human made. It’s a survival bias; the bad AI pictures are easy to figure out, but we might be surrounded by them and would not even know.

Same as green screens in movies. It’s so prevalent we don’t see them, but we like to complain a lot about bad green screens. Every time you see a busy street there’s a 90+ % chance it’s a green screen. People just don’t recognize those.

[-] SnipingNinja@slrpnk.net 12 points 1 year ago

Isn't that called the toupee fallacy?

[-] oddspinnaker@lemm.ee 9 points 1 year ago

It is!!

Someone might assert that, “All toupees look fake. I've never seen a good toupee.” This is an example of neglecting the base rate because if I had seen good toupees, I wouldn't know it.

Thanks, I love learning names for these things when they come up!

this post was submitted on 07 Oct 2023
991 points (97.7% liked)

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