I was trying to play with o3 this week to see how close it can identify things, and, interestingly, it tries more pattern matching than its own "logic deduction". For example, it can easily deduce any of my photos from Europe and the US because there are many pictures online that I can search for and see similar pictures.
However, when there are not many photos of the place online, it gets closer but stops seeking deeper into it and instead tries to pattern-match things in its corpus / internet.
One example was an island's popular trail that no longer exists. It has been overgrown since 2020. It said first that the rocks are typical of those of an island and the vegetation is from Brazil, but then it ignored its hunch and tried to look for places in Rio de Janeiro.
Another one was a popular beach known for its natural pools during low tides. I took a photo during high tide, when no one posts pictures. It captured the vegetation and the state correctly. But then it started to search for more popular places elsewhere again.
However, when there are not many photos of the place online, it gets closer but stops seeking deeper into it and instead tries to pattern-match things in its corpus / internet.
One example was an island's popular trail that no longer exists. It has been overgrown since 2020. It said first that the rocks are typical of those of an island and the vegetation is from Brazil, but then it ignored its hunch and tried to look for places in Rio de Janeiro.
Another one was a popular beach known for its natural pools during low tides. I took a photo during high tide, when no one posts pictures. It captured the vegetation and the state correctly. But then it started to search for more popular places elsewhere again.