zlacker

Overfitting seems like a fuzzy area here. I could train a model on one image that could consistently produce an output no human could tell apart from the original. And of course, shades of gray from there.

Regarding your edit, what are the chances of a "hash collision" where the hash is two MP4 files for two different movies? Seems wildly astronomical.. impossible even? That's why this hash method is so special, plus the built in preview feature you can use to validate your hash against the source material, even without access to the original.

>>synu+(OP)
Once you are down to one picture, collisions become feasible given the right environment and resolution of the image.

Pretty sure this is nitpicking about an overused analogy though.