←back to thread

383 points bookstore-romeo | 1 comments | | HN request time: 0.214s | source
Show context
CaptainFever ◴[] 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.

replies(8): >>42198875 #>>42198898 #>>42199240 #>>42199818 #>>42200723 #>>42201035 #>>42201062 #>>42201349 #
relyks ◴[] 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.
replies(1): >>42198949 #
1. CaptainFever ◴[] No.42198949[source]
That's good information, thank you!