Conversation about ‘players are the product’ of Pokémon go aside… What are some practical applications of an LGM? Seems like navigation is ‘solved’? There’s already a lot of technology supporting permanence of virtual objects based on spatial mapping? Better AI generated animations? I am sure there are a ton of innovations it could unlock…
Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
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Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#142Earlier quoted context omitted.
Because not everyone is a seasoned IT professional.
I don't think you need to be an "IT professional" to understand that not paying money doesn't imply that you aren't giving away value.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#143P.S.: Also, if that's indeed what they mean, I wonder why having google street view data isn't enough for that.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#144Earlier quoted context omitted.
> Google actually has released weights for some of their models, but judging by the fact that this model is potentially valuable, they likely will not allow Niantic for this which is totally unfair, every niantic player should have access to all the stuff because they collectively made it
> which is totally unfair, every niantic player should have access to all the stuff because they collectively made it I don't understand this perspective. While all players may have collectively made this model possible, no individual player could make a model like it based on their contributions alone. Since no single player could replicate this outcome based on only their data, does it not imply that there's value…
Additionally, many people can contribute to make something greater that benefits everyone (see open source). So the argument of “you couldn’t have done this on your own” also doesn’t hold any water.
The only thing that protects niantic is just a shitty ToS like the rest of the games that nobody pays attention to. There is nothing fundamentally “right” about what they did.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#145Conversation about ‘players are the product’ of Pokémon go aside… What are some practical applications of an LGM? Seems like navigation is ‘solved’? There’s already a lot of technology supporting permanence of virtual objects based on spatial mapping? Better AI generated animations? I am sure there are a ton of innovations it could unlock…
They are a bit vague on what else the model does, but it sounds like they extrapolate what the rest of the environment could look like, the same way you can make a good guess what the back side of that rock would look like. That gives autonomous robots a baseline they can use to plan actions (like how to drive/fly/crawl to the other side) that can be updated as new view points become available.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#146This 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…
Imagine how those of us who played Ingress (Niantic's first game) feel... We were tricked into contributing location data for the game we loved, only to see it reused for the far more popular (and profitable) Pokemon Go.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#147This 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…
Imagine how those of us who played Ingress (Niantic's first game) feel... We were tricked into contributing location data for the game we loved, only to see it reused for the far more popular (and profitable) Pokemon Go.
Niantic was always open with the fact that they gather location data, particularly in places cars can't go - I remember an early blog post saying as much before they were unbundled from Google. No one was tricked, they were just not paying attention.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#148This 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…
The game is free, there has to be some way for them to profit, interesting to see this was it.