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

nianticlabs.com

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

#91

Post by try_the_bass »

ysofunny wrote: post #51
relyks wrote: post #31

Earlier 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

> 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 created from collecting (and incentivizing collection of) the data, and subsequently processing it to create something?

It actually seems more unfair to demand the collective result for yourself, when your own individual input is itself insufficient to have created it in the first place.

I don't think producers of data are inherently entitled to all products produced from said data.

Is a farmer entitled to the entirety of your work output because you ate a vegetable grown on their farm?

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

#93

Post by chipsrafferty »

RussianCow wrote: post #73
aqfamnzc wrote: post #57

Earlier quoted context omitted.

Welcome to the modern internet. While you're at it, please get me access to Google's captcha models facebook face directory Google's GPS location data hoard, (most every android phone on the planet 24/7 (!) and any iPhone navigating with gmaps) And so on and so on All of which I've directly contributed to and never (directly) recieved anything in return

> All of which I've directly contributed to and never (directly) recieved anything in return To be fair, you received a service for free that you may have otherwise had to pay for. I'm not saying it's just, but to say you didn't get anything in return is disingenuous.

The some is true of this case, the game is free.

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

#94

Post by bhl »

ggm wrote: post #65

Not wanting to over-do it, but is there possibly an argument the data about geospatial should be in the commons and google have some obligation to put the data back into the commons? I'm not arguing to a legal basis but if it's crowdsourced, then the inputs came from ordinary people. Sure, they signed to T&Cs. Philosophically, I think knowledge, facts of the world as it is, even the constructed world, should be publi…

Four Square just open sourced their places dataset. https://location.foursquare.com/resources/blog/products/four...

Given how expensive it is to query Google places, would love a crowdsourced open-source places API.

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

#95

Post by refulgentis »

CaptainFever wrote: post #7

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 commo…

I feel like I'm going mad, if you actually read the article it's a theoretical thing they'd like to lead in, yet literally every comment assumes it launched. The title being "announces model" rather than the actual title certainly doesn't help.

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

#96

Post by r00fus »

urbandw311er wrote: post #83

> Today we have 10 million scanned locations around the world, and over 1 million of those are activated and available for use with our VPS service. We receive about 1 million fresh scans each week Wait, they get a million a week but they only have a total of 10 million, ie 10 days worth? Is this a typo or am I missing something?

A location probably requires like a million scans to be visualized properly. Think of a park near your house - there are probably thousands of ways to view each feature within.

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

#97

Post by aeturnum »

urbandw311er wrote: post #83

> Today we have 10 million scanned locations around the world, and over 1 million of those are activated and available for use with our VPS service. We receive about 1 million fresh scans each week Wait, they get a million a week but they only have a total of 10 million, ie 10 days worth? Is this a typo or am I missing something?

Scans are not always of new locations. They have ~10m established nodes and they get ~1m node scans per week that might be new and might be old.

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

#98

Post by AlwaysRock »

relyks wrote: 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…

> and give you some useful items as rewards

Were you tricked, or were you just poorly compensated for your time?

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

#99

Post by scottyah »

ggm wrote: post #75
dev1ycan wrote: post #71

Earlier quoted context omitted.

Do you expect every company to release all their data to the public as well or it's just because you're not invested in this one?

I expect any company which collates information about geospatial datasets to release the substance of them, yes. Maybe there's an IPR lockup window, but at some point the cadastral facts of the world are part of the commons to me. I would think there's actually a lot of epidemiology data which also should be winding up in the public domain getting locked up in medical IPR. I could make the same case. Cochrane reports…

They found a creative way to incentivize the collection of it and paid for the processing. Anybody can collect the same data, I don't see why they would have to release it...

It would be nice of them though.

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

#100

Post by themk »

murdockq wrote: post #9

I'm guessing this can be the new bot that could play competitively at GeoGuesser. It would be interesting if Google trained a similar model and released it using all the Street Map data, I sure hope they do. Has anyone done something similar with the geolocated WIFI MAC addresses, to have small model for predicting location from those.

I believe I read somewhere that geoguesser AI based on street view data was mostly classifying based on the camera/vehicle set up. As in, a smudge on the lens in this corner means its from Paris.

This crowdsourced approach probably eliminates that issue.

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