Comment by spacebanana7
18 hours ago
The weakness of this is that a person can take a picture of a high resolution screen or print.
We really need Apple to open up true depth APIs to make forgery non trivial.
18 hours ago
The weakness of this is that a person can take a picture of a high resolution screen or print.
We really need Apple to open up true depth APIs to make forgery non trivial.
I don’t know too much about image processing, but my intuition tells me that distinguishing a photo of a 3d scene from a photo of a photo of a 3d scene is a much easier engineering problem than distinguishing it from an AI-generated diffusion. So even just reducing the problem to the former is still a worthy accomplishment.
Agree with the weakness, but the benefit of provenance is still there. You can't tell if the picture that person took is of an AI image, but there's some value in saying "I took this" and being able to prove it.
I hope future social media presents this metadata so if someone claims a photo is from the BBC, it actually gets checked against the keys the BBC sign their photos with.
How does this actually work though?
1) I see a photo online and doubt it's provenance
2) I contact the photographer and ask to see their cloud image (???!)
2a) I borrow someone's mac to download the image (.jpg?) and it can be verified on that?
Ideally it’d be linked to public key on a DNS txt record or similar, and trustworthy clients (including social media apps) show the domain linked to the photo.