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

nianticlabs.com

11–20 of 365 posts

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

#11

I can really imagine a meeting with the big brasses of Google/Niantic a few years ago that went along - We need to be the first to have a better, new generation 3D model of the world to build the future of maps on it. How can we get that data?" + What about gamifying it and crowd-sourcing it to the masses? - Sure! Let's buy some Pokemon rights! It's scary but some people do really have some long-term vision

Pokemon Go is built on the same engine as Inverness I think its called. When it launched they even used the same POIs. I think this was ~5-7 years before PGO launched.

Edit: I said inverness and meant ingress. Apologies.

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

#12

I'm sure the CIA already has access. [1] People were raising privacy concerns years ago. [2] [1] https://www.networkworld.com/article/953621/the-cia-nsa-and-... [2] https://kotaku.com/the-creators-of-pokemon-go-mapped-the-wor...

Google maps has more data than PGO could ever hope to have.

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

#13
post #11

I can really imagine a meeting with the big brasses of Google/Niantic a few years ago that went along - We need to be the first to have a better, new generation 3D model of the world to build the future of maps on it. How can we get that data?" + What about gamifying it and crowd-sourcing it to the masses? - Sure! Let's buy some Pokemon rights! It's scary but some people do really have some long-term vision

Pokemon Go is built on the same engine as Inverness I think its called. When it launched they even used the same POIs. I think this was ~5-7 years before PGO launched. Edit: I said inverness and meant ingress. Apologies.

[deleted]

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

#14
post #11

I can really imagine a meeting with the big brasses of Google/Niantic a few years ago that went along - We need to be the first to have a better, new generation 3D model of the world to build the future of maps on it. How can we get that data?" + What about gamifying it and crowd-sourcing it to the masses? - Sure! Let's buy some Pokemon rights! It's scary but some people do really have some long-term vision

Pokemon Go is built on the same engine as Inverness I think its called. When it launched they even used the same POIs. I think this was ~5-7 years before PGO launched. Edit: I said inverness and meant ingress. Apologies.

I think you are thinking of Ingress. No idea what Inverness is.

Ingress and PGO share the same portals and stuffs and its what PGO got its data from.

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

#15
post #6

I wonder how this can be combined with satellite data, if at all?

I don’t see why not. Photos are often combined with satellite data for photogrammetry purposes, even on large scale - see the recent Microsoft Flight Simulator (in a couple days, when it actually works)

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

#16
I’m intrigued by the generative possibilities of such a model even more than how it could be used with irl locations. Imagine a game or simulation that creates a realistic looking American suburbia on the fly. It honestly can’t be that difficult, it practically predicts itself.

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

#18

I'm sure the CIA already has access. [1] People were raising privacy concerns years ago. [2] [1] https://www.networkworld.com/article/953621/the-cia-nsa-and-... [2] https://kotaku.com/the-creators-of-pokemon-go-mapped-the-wor...

People have a lot of strange beliefs about the CIA. Why would they even care about this?

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

#20
This is pretty cool, but I feel as a pokehunter (Pokemon Go player), I have been tricked into working to contribute training data so that they can profit off my labor. How? They consistently incentivize you to scan pokestops (physical locations) through "research tasks" and give you some useful items as rewards. The effort is usually much more significant than what you get in return, so I have stopped doing it. It's not very convenient to take a video around the object or location in question. If they release the model and weights, though, I will feel I contributed to the greater good.
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