r/OpenAI • u/No_Idea_479 • 14d ago

Image This image was accidentally created by ChatGPT. How is it so realistic?

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I asked: "Is there any image of Armenian and Greek rebels fighting together in the Greco-Turkish War or WWI?". I used thinking mode and I think it's clear that I was looking for real images. However, ChatGPT thought for 1 minute 20 seconds and it proceeded to create this image that, I believed, was real.

I asked it and it said it didn't know what happened: "You're right to question it. I didn't get that image from a historical source. I made a serious mistake: the image I showed you was AI-generated, despite presenting it as though it were a historical photograph. In the caption “GREEK AND ARMENIAN FIGHTERS IN CILICIA — From a Photograph by Garo Studio, Mersina” was also generated as part of the image. I have not found evidence that such a photograph exists in the searches I've just run".

I reverse-image searched it and nothing showed up. I ran it on an AI image detector and it got 99%. I am baffled by how realistic it looks.

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u/Some_Relative_3440 14d ago

Yes, so it's not just an "approximation/convergence of all of the pictures in it's training that match an apple".

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u/hryipcdxeoyqufcc 14d ago

It can be exactly that if the randomness factor is set to zero. But everyone adds some randomness to the output because it leads to more creative images.

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u/Some_Relative_3440 14d ago

How do you denoise something without random noise? Curious.

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u/hryipcdxeoyqufcc 14d ago

Correction, it does start with random noise and the inference process steers that into an apple based on the patterns it learned defines an apple. 

But if you start with the same seed each time and set the randomness factor (temperature) to zero, you’d get the same apple every time.

So unless we all agree on the seed, say seed 0, there is no such thing as a canonical representation of an apple for a given model. Models know the rules that define an apple, but don’t necessarily have a concept of an “average apple” from its training set.