So now that we see how AI fails to accomplish anything you throw at it, unless the task is "do an AI thing with no consequences", you might understand why the @openstreetmap community has always felt negative towards bulk-importing AI-detected roads and buildings and stuff onto their hand-crafted map.
@zverik @openstreetmap To be fair the vocal OpenStreetMap community feels negative about pretty much anything 😛
The Rapid editor and folks around it seem to benefit from AI assisted mapping, so I wouldn't say it's binary good / bad; it's more complex and nuanced as most of the time.
I also can't see much of an overlap between the current LLM hype and the previous efforts in geo to build machine learning tools and workflows.
Disclaimer: I have built such workflows before.
So when I learned about @hotosm "fAIr" AI-assisted mapping service, I was like, uh-oh. We all know now that AI takes too much resources, is an environmental threat, and is never profitable. Apart from also being wrong. That a humanitarian org turns its employees and hardware to replicate things Microsoft and Meta failed to do... Well, won't end good.
https://www.hotosm.org/updates/fAIr_2024/
(On the other hand, their FMTM is shaping up to be better than I expected.)