There's various degrees of "solved" here. Identifying a generic area is cool. But I wouldn't call it a "solved problem" until it can consistently beat for example Rainbolt in accuracy. And there's no good comparison of completely random roads posted so far - mainly popular locations.
Basically, it's one thing to pick out a specific thing photographed thousands of times, but another to get a random country side view and pick out all the unique features for a very precise guess.
One problem is how can you even set up a "fair" competition between an AI and Rainbolt? He does ones where it flashes for a fraction of a second and then he guesses the country. How do you simulate "only saw it for a fraction of a second" to an AI?
Maybe limit the time the AI is allowed to think? In the post it showed the AI thought for almost a minute.
I’ve seen Rainbolt ID an image based on some dirt and nothing else. I’d want to see AI be able to do that before saying it’s a solved problem.
This is probably the best attemp at consistently beating Rainbolt in accuracy: https://youtu.be/ts5lPDV--cU