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

nianticlabs.com

21–30 of 365 posts

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

#21
> For example, it takes us relatively little effort to back-track our way through the winding streets of a European old town. We identify all the right junctions although we had only seen them once and from the opposing direction.

That is true for some people, but I'm fairly sure that the majority of people would not agree that it comes naturally to them.

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

#22

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

They definitely had this as a long-term vision

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

#23
post #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…

They won't. It's the same data collection play as every other Google project

Just for clarity on this comment and a separate one, Niantic is a Google spin out company and appears to still be majority shareholder: https://en.wikipedia.org/wiki/Niantic,_Inc.#As_an_independen...

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

#25
post #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…

You've also been tricked into making your comment, which will undoubtedly be fed into an LLM's training corpus, and someone will be profiting off that, along with my comment as well. What a future we live in!

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

#26

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?

Upload a picture of a bad guy in an office lobby to pokegpt and ask it where he is.

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

#27
post #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…

You've also been tricked into making your comment, which will undoubtedly be fed into an LLM's training corpus, and someone will be profiting off that, along with my comment as well. What a future we live in!

NooooooooooOooOooOo!

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

#28
Somehow I always thought something like that would have been the ultimate use case for Microsoft Photosynth (developed from Photo Tourism research project), ideally with a time dimension, like browsing photos in a geo spatio-temporal context.

I expect that was also some reason behind their flickr bid back then.

https://medium.com/@dddexperiments/why-i-preserved-photosynt...

https://phototour.cs.washington.edu

https://en.wikipedia.org/wiki/Photosynth

at least any patents regarding this will also expire about 2026.

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

#29
post #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…

You've also been tricked into making your comment, which will undoubtedly be fed into an LLM's training corpus, and someone will be profiting off that, along with my comment as well. What a future we live in!

Lol, do you really think that? I did it from having a desire to contribute to the conversation and I was aware that that would be a future possibility :) I'm not really getting much in return or being incentivized by Y combinator

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

#30
post #27

Earlier quoted context omitted.

You've also been tricked into making your comment, which will undoubtedly be fed into an LLM's training corpus, and someone will be profiting off that, along with my comment as well. What a future we live in!

NooooooooooOooOooOo!

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