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Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data

(nianticlabs.com)
429 points bookstore-romeo | 2 comments | 19 Nov 24 20:02 UTC | HN request time: 0.618s | source
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CaptainFever ◴[20 Nov 24 22:07 UTC] No.42198606[source]▶
This title is editorialized. The real title is: "Building a Large Geospatial Model to Achieve Spatial Intelligence"

> Otherwise please use the original title, unless it is misleading or linkbait; don't editorialize.

My personal layman's opinion:

I'm mostly surprised that they were able to do this. When I played Pokémon GO a few years back, the AR was so slow that I rarely used it. Apparently it's so popular and common, it can be used to train an LGM?

I also feel like this is a win-win-win situation here, economically. Players get a free(mium) game, Niantic gets a profit, the rest of the world gets a cool new technology that is able to turn "AR glasses location markers" into reality. That's awesome.

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1. relyks ◴[20 Nov 24 22:41 UTC] No.42198898[source]▶
I'm pretty sure most of the data is not coming from the AR features. There are tasks in the game to actually "scan" locations. Most people I know who play also play the game without the AR features turned on unless there's an incentive.
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2. CaptainFever ◴[20 Nov 24 22:49 UTC] No.42198949[source]▶
That's good information, thank you!