And if you're having that much trouble with regular software, imagine how it would go with a model, which even capable programmers don't (always) fully understand....
Bothers me that much of this data has been collected without explaining what its intended purpose is. All those captchas that want you to pick out cars or bikes etc, Pokemon game that wants you to scan locations for free items... It simply never occurred to me that these were actually just ways to train AI surreptitiously
Good luck driving via my gps drifts as i block the phone antennas to get more kilometers.
If anything, nianitic is incompetent af, i played ingress for years and i know what they are "capable of".
For some reason my phone drifts like mad when I place it next to my wifi boxen. I've hatched so many eggs as my character just fucking charges around town. Good luck, cars! I obey no road rules!
The issue is it's going to be trained only on places people go. My understanding is that most geolocating systems are more focused on the uncommon or less traveled locations. Maybe I'm wrong, but I guess they're probably tested it out before announcing it.
AI delivery bots maybe? It's basically an aggregate of "here's where it's possible/common to walk" so it's not useful for driving/flying AI. Also useful for marketing, knowing where foot traffic is.
The article says they're treating it as a Large Geospatial Model (like a Large Language Model), so it seems like you could use that as a predictive way to navigate between two points. With an LLM it spits out phrases based on context. The LGM would return paths based on context.
Google is going to get broken up. To what extent is the question. Companies positioning themselves for the aftermath of the Google break up like this isnt too wierd. Who knows what companies will aquire which Google assets so having your own means to seperate yourself from Google is just playing it safe.