[HN Gopher] Niantic announces "Large Geospatial Model" trained o...
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       Niantic announces "Large Geospatial Model" trained on Pokemon Go
       player data
        
       Author : bookstore-romeo
       Score  : 58 points
       Date   : 2024-11-19 20:02 UTC (1 days ago)
        
 (HTM) web link (nianticlabs.com)
 (TXT) w3m dump (nianticlabs.com)
        
       | __MatrixMan__ wrote:
       | I wonder if there's a sweet spot for geospatial model size.
       | 
       | A model trained on all data for 1m in every direction would
       | probably be too sparse to be useful, but perhaps involving data
       | from a different continent is costly overkill? I expect most
       | users are only going to care about their immediate surroundings.
       | Seems like an opportunity for optimization.
        
       | janice1999 wrote:
       | 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...
        
         | andrewmcwatters wrote:
         | Pikachu did 9/11
        
           | Onavo wrote:
           | More like Celesteela, after all, you need jet fuel to melt
           | steel beams.
        
         | dgfitz wrote:
         | Google maps has more data than PGO could ever hope to have.
        
         | astrange wrote:
         | People have a lot of strange beliefs about the CIA. Why would
         | they even care about this?
        
           | tiahura wrote:
           | Upload a picture of a bad guy in an office lobby to pokegpt
           | and ask it where he is.
        
       | Jabrov wrote:
       | I wonder how this can be combined with satellite data, if at all?
        
         | ileonichwiesz wrote:
         | 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)
        
           | mxfh wrote:
           | It's usually aerial data, especially oblique aerial. Bing
           | Maps is still pretty unique in offering them undistorted and
           | not draped over some always degraded mesh.
        
       | CaptainFever wrote:
       | 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 Pokemon 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.
        
         | bongodongobob wrote:
         | All they needed was a shit ton of pictures. The AR
         | responsiveness (and Pokemon Go) have nothing to do with it. It
         | was just a vehicle for gathering training data.
        
         | relyks wrote:
         | I'm pretty sure most of the data is not coming from the AR
         | features. There are tasks in the game to actually "scan"
         | locations. Most people I know who play also play the game
         | without the AR features turned on unless there's an incentive.
        
           | CaptainFever wrote:
           | That's good information, thank you!
        
       | darkwater wrote:
       | 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
        
         | dgfitz wrote:
         | 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.
        
           | edm0nd wrote:
           | 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.
        
             | ClassyJacket wrote:
             | Inverness is a city in Scotland
        
         | relyks wrote:
         | They definitely had this as a long-term vision
        
       | murdockq wrote:
       | 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.
        
       | reilly3000 wrote:
       | 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.
        
       | rbrown wrote:
       | Genuinely impressed Google had the vision and resources to commit
       | to a 10 year data collection project
        
       | relyks wrote:
       | 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.
        
         | rbrown wrote:
         | 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...
        
           | relyks wrote:
           | 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
        
         | fragmede wrote:
         | 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!
        
           | rbrown wrote:
           | NooooooooooOooOooOo!
        
             | relyks wrote:
             | Lol
        
           | relyks wrote:
           | 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
        
             | CaptainFever wrote:
             | I think the joke was that it's kind of the same with
             | Pokemon GO. You play the game mainly because it's fun or
             | lets you get some exercise in, so it's not really a bad
             | thing that the company used the data to train a useful
             | model. You're still having fun or doing exercise regardless
             | of what they do with the data. Essentially, it's a positive
             | externality: https://www.economicshelp.org/micro-economic-
             | essays/marketfa...
             | 
             | But I think your point, if I understand it correctly, is
             | that the in-game rewards kind of "hacked your brain" to do
             | it, which is the part you're objecting to?
        
           | jillyboel wrote:
           | This is why I stopped posting useful stuff in public fora.
           | It's only being used to make the rich fucks richer at this
           | point.
           | 
           | It's a shame because I do enjoy reading what others post, but
           | it's not going to last.
        
             | chottocharaii wrote:
             | I don't understand this perspective. Why should I resent
             | the creation of value from behaviours that I would be doing
             | anyway.
        
               | jillyboel wrote:
               | Because the goal is to replace you with a machine and to
               | widen the poverty gap. Also because I do not consent to
               | it.
               | 
               | Are you also fine with taking pictures of pretty women on
               | the street (hey, they'd be walking there anyway) and
               | posting them online and farming ad revenue?
        
               | forgetfreeman wrote:
               | You're mislabeling rent-seeking as value creation.
               | Perhaps this is the root of your misunderstanding?
        
             | fragmede wrote:
             | You think that's bad, wait till you find out about what
             | happens at work!
        
         | Schnouki wrote:
         | Yeah, they did the same in Ingress: film a portal
         | (pokestop/gym) while walking around it to gain a small reward.
         | I've always wondered what kind of dataset they were building
         | with that -- now we know!
        
       | Jabbles wrote:
       | > 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.
        
       | tiahura wrote:
       | The cia has to be all over this.
        
       | mxfh wrote:
       | 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.
        
         | josh_cutler wrote:
         | I worked on this and yes it was 100% related to the interest in
         | Flickr. At the time Google Street had just become a thing and
         | there was interest in effectively crowdsourcing the photography
         | via Flickr and some of the technology behind Photosynth.
        
       | oliyoung wrote:
       | Impressive, but this is one of those "if this is public
       | knowledge, how far ahead is the _not_ public knowledge" things
        
       | DrBenCarson wrote:
       | I've published research in this general arena and the sheer
       | amount of data they need to get good is massive. They have a moat
       | the size of an ocean until most people have cameras and depth
       | sensors on their face
       | 
       | It's funny, we actually started by having people play games as
       | well but we expressly told them it was to collect data. Brilliant
       | to use an AR game that people actually play for fun
        
       | AndrewKemendo wrote:
       | This is literally what I built my first company around starting
       | in 2012, when Niantic was still working on Ingress
       | 
       | I describe it here during 500 Startups demo day:
       | https://youtu.be/3oYHxdL93zE?si=cvLob-NHNEIJqYrI&t=6411
       | 
       | I further described it on the Planet of the Apps episode 1
       | 
       | Here's my patent from 2018:
       | https://patents.google.com/patent/US10977818B2/en
       | 
       | So. I'm not really sure what to do here given that this was
       | exactly and specifically what we were building and frankly had a
       | lot of success in actually building.
       | 
       | Quite frustrating
        
       | alpyne wrote:
       | Brian Maclendon (Niantic) presented some interesting details
       | about this in his recent Bellingfest presentation:
       | 
       | https://www.youtube.com/live/0ZKl70Ka5sg?feature=shared&t=12...
        
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