Comment by anotherpaulg

I've long been fascinated by AI's ability to do the reverse: generate photos with lots of highly relevant content when the prompt includes a location. Terrain, plants, buildings, landmarks, coastlines and lots of details are included.

Here's an example [0] for "Riding e-scooters along the waterfront in Auckland". The iconic spire is correctly included, but so are many small details about the waterfront.

I've been meaning to harness this into a very-low-bandwidth image compression system. Where you take a photo and crunch it to an absurdly low resolution that includes EXIF data with GPS, date/time. You then reconstruct the fine details with AI.

Most photos are taken where lots of photos are taken, so the models have probably been appropriately trained.

[0] https://chatgpt.com/share/680d0008-54a0-8012-91b7-6b1794f485...