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

(nianticlabs.com)
383 points bookstore-romeo | 3 comments | 19 Nov 24 20:02 UTC | HN request time: 0.707s | 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. anigbrowl ◴[20 Nov 24 23:28 UTC] No.42199240[source]▶
It's OK to adjust the title to have more relevant facts or to fix a poorly worded one. Editorializing is more like 'Amazing: Niantic makes world-changing AI breakthrough'.
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2. n2d4 ◴[21 Nov 24 00:50 UTC] No.42199884[source]▶
The original title was not poorly worded though. The new one was editorialized to get a certain reaction out of readers — I promise you the responses on this thread would look different with the original title.
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3. zahlman ◴[21 Nov 24 07:11 UTC] No.42201884[source]▶
The original title fails to explain who is building the model and where the data is coming from. It also implies a discussion of the task of training models, whereas the actual page is an announcement of an intent to train a model.