For a single image we have many bottles, the ones that do not sink end up either on cat or dog island, and we decide by counting which island got more bottles. We repeat this for many images and currents change so that bottles end up more often on the right island. Once the currents are set, if we stand in the dog/cat island, walk the beach and observe for a while we can tell from which part of the land the bottle came and what was in it

...so if a friend I brought asks me for an image of a black cat I know approximately where to find it on the cat island beach

Ooof, that is pretty bad. Should be relevant to how people live - and not start with abstract concepts like "imagine a sea of numbers" and if that was the only bad thing, I'd say "it's too long".... FWIW

throws a cat bottle at OP’s head, knocking him out and ending his metaphorical madness

That kind of semi poetic stuff is really more confusing than useful.

Why not just introduce the concept of a distribution with a few intuitive examples and then say that GANs do the same but for images?

Yeah, no. That's just tortured and basically incomprehensible to me, sorry. Bottles of pixels, and an "algorithm" that adjusts the sea?

> The takeaway should be that a GAN does not copy parts of images in the training data

Also not so much:

Image-generating AI can copy and paste from training data, raising IP concerns | TechCrunch

I think you're asking in the wrong place. Try programmerhumor or similar.

Seriously.

Thanks for the reference. I did have my suspicions.

Thank you very much!