Comment by hahahacorn
17 hours ago
One of the images in the blog (https://images.ctfassets.net/kftzwdyauwt9/4d5dizAOajLfAXkGZ7...) is a carbon copy of an image from an article posted Mar 27, 2026 with credits given to an individual: https://www.cornellsun.com/article/2026/03/cornell-accepts-5...
Was this an oversight? Or did their new image generation model generate an image that was essentially a copy of an existing image?
That has to be the wrong stock image included or something, bloody hell.
It's practically all dark except for a few spots. It's the same image just different size compression whatever. I can't find it in any stock image search, though. Surely it could not have memorized the whole image at that fidelity. Maybe I just didn't search well enough.
Or the image was generated with AI in the first place and a test for Images 2.0
Well, it's on web archive. So unless they got their hands on it almost a month early or escaped their light cone it wasn't.
Haha! That would really take the cake. If it is, congratulations to them! I could never have known.
This is hilarious. Seems like kind of a random image for a model to memorize, but it could be.
There is definitely enough empirical validation that shows image models retain lots of original copies in their weights, despite how much AI boosters think otherwise. That said, it is often images that end up in the training set many times, and I would think it strange for this image to do that.
Regardless, great find.
I feel it's too much of a perfect match to be generated from the model's memory. It's pixel perfect. Gotta be a mistake.
Given the recency of that image, it is unlikely it is in the training data and therefore I would go with oversight.
The image is likely older than the article given this picture from over a year ago.
https://www.instagram.com/p/DGQ01bzTwyo/
That's not the same picture