Comment by AIPedant

Agreed - to be clear I was saying it confabulated analyzing the visual details of the photo to back up its actual reasoning of reading the EXIF. I am not sure that “low‑slung pre‑Alpine ridge line, and the latitudinal light angle that matches mid‑February at ~47 ° N” is actually evident in the photo (the second point seems especially questionable), but that’s not what it used to determine the answer. Instead it determined the answer and autocompleted an explanation of its reasoning that fit the answer.

That’s why I mentioned the case where it made up things that weren’t in the photo - “drives on the left” is a valuable GeoGuesser clue, so if GPT looks at the EXIF and determines the photo is in London, then it is highly probable that a GeoGuesser player would mention this while playing the game given the answer is London, so GPT is probable to make that “observation” itself, even if it’s spurious for the specific photo.

I just noticed that its explanation has a funny slip-up: I assume there is nothing in the actual photo that indicates the picture was taken in mid-February, but the model used the date from the EXIF in its explanation. Oops :)