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After Nine blamed an 'automation' error in Photoshop for producing an edited image of Georgie Purcell, I set out to find out what the software would do to other politicians.

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[-] Kbin_space_program@kbin.social 14 points 2 years ago

The issue is also present in DallE and bing image generation. Hypothesis is the sheer amount of porn being generated is affecting the models.

When I tried to create a joke profile for Tinder with some friends, I tried "woman eating fried chicken". Blocked result. "Man eating fried chicken" works.
Tried "Man T posing on beach" clothed. Woman T posing on beach, blocked.
Woman t posing at sunset on beach, returned nearly silhouetted nude image. Same thing for guy, clothed.

Went back to the first one, had to specify that the woman was wearing clothes to make it return the image. Sometimes specifying specific articles.

[-] Deceptichum@kbin.social 7 points 2 years ago

Your hypotheses makes no sense?

People generating porn would make no change to its training data set.

[-] Kbin_space_program@kbin.social 4 points 2 years ago

You wouldn't feed the images people generate and save back into the system to improve it?

[-] DoYouNot@lemmy.world 4 points 2 years ago

This actually doesn't work to improve the model, generally. It's not new information for it.

[-] Kbin_space_program@kbin.social 0 points 2 years ago* (last edited 2 years ago)

Yup. But they would logically have bots up to troll for new posts and would be consuming social media posts with their own generated data.

Also they would absolutely feed in successful posts back into the system. You'd be stupid to not refine successful generations to further help the model.

[-] Deceptichum@kbin.social 3 points 2 years ago* (last edited 2 years ago)

Not after the initial training, no.

That would make it less effective, because instead of being trained on known real things it’s being further reinforced on its own hallucinations.

this post was submitted on 01 Feb 2024
55 points (79.6% liked)

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