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

(nianticlabs.com)
383 points bookstore-romeo | 1 comments | 19 Nov 24 20:02 UTC | HN request time: 0.209s | 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. bongodongobob ◴[20 Nov 24 22:39 UTC] No.42198875[source]▶
All they needed was a shit ton of pictures. The AR responsiveness (and Pokemon Go) have nothing to do with it. It was just a vehicle for gathering training data.