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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

#271

Post by hackernewds »

noduerme wrote: post #203
_qxb9 wrote: post #193

We do this at [name redacted as this was a joke]. When users scan their barcode, the preview window is zoomed in so users think its mostly barcode. We actually get quite a bit more background noise typically of a fridge, supermarket aisle, pantry etc. but it is sent across to us, stored, and trained on. Within the next year we will have a pretty good idea of the average pantry, fridge, supermarket aisle. Who knows wh…

This is outrageously unethical. Someone scanning a barcode would have every reason to think that the code was being parsed locally on their phone. There would be no reason to upload an entire photo to read a barcode. Beyond which, not even alerting the user visually that their camera is picking up background stuff??? What if it's on their desk and there are sensitive legal documents next to it? How are you safeguardi…

please don't feed the trolls

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

#272

Post by hackernewds »

tgsovlerkhgsel wrote: post #239
onionisafruit wrote: post #226

Earlier quoted context omitted.

This post’s replies makes it clear a lot of us don’t recognize humor. Do people really think MyFitnessPal is trying to build a model of the average pantry?

The problem is that it's not possible to make a parody of an unethical company so blatant that it wouldn't also be a 100% plausible description of a business practice that some company actually does...

Silicon Valley TV show is a documentary

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

#273

Post by dgfitz »

virodoran wrote: post #259
dgfitz wrote: post #251

Earlier quoted context omitted.

Surely the game engine has little to do with logged telemetry data. No?

Perhaps, perhaps not - I have my theories, but is that not what you meant when you said Pokemon Go was built on the same engine as Ingress? I do think it wasn't until after Pokemon Go launched and they saw the success of it, that they shifted focus to be more of a platform for these types of experiences (see Niantic Lightship). Additionally, I think Unity offered them the opportunity to integrate with ARCore and coll…

I did say engine, you’re correct.

I imagine the logs aren’t tied to the engine, which I suppose is the point I should have made without researching which engine the games used as opposed to which company made both games.

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

#274

Post by aeternum »

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…

I mean it was ultimately a research task

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

#275

Post by aydyn »

blibble wrote: post #82
aydyn wrote: post #63

Earlier quoted context omitted.

Not really, you're assuming that your independent actions or forum comments have intrinsic value. They do not.

then there's no need for the AI parasites to train on them

Does sand have much intrinsic value, or is the value coming from the technology to make integrated circuits? Is the fabrication process parasitic too?

Lots of cope here. Ostensibly, some people cant handle a simple observable fact.

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

#276

Post by numpad0 »

fragmede wrote: post #25
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…

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!

If anything, it makes me sad that Google sat and watched OpenAI tarnish public recognition of AI, and meanwhile no one had figured out realistic digital persona reconstruction from Twitter logs applicable to arbitrary users. I've made so much of my "effort" into the Internet digital corpus with that purpose in mind!

Note to future digital me, do as I did 2007-2014. I approve.

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

#277

Post by isodev »

hackernewds wrote: post #269
isodev wrote: post #218

Earlier quoted context omitted.

> I feel … I have been tricked Everything “free” coming from a company means they’ve found a way to monetise you in some way. The big long ToS we all casually accept without reading says so too. Other random examples which appear free but aren’t: using a search engine, using the browser that comes with your phone, instagram, YouTube… etc. It’s not always about data collection, sometimes it’s platform lock-in, or some…

only a sith speaks in absolute. plenty of especially free AI products out there

Which are surely, totally not ingesting every iota of data they can get their hands on (legally or not, including your prompts) for training and the soon-to-be born “embedded ads”.

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

#278

Post by theshrike79 »

PittleyDunkin wrote: post #120
try_the_bass wrote: post #91

Earlier quoted context omitted.

> 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…

[flagged]

Let's compare apples to oranges then:

You grew apples, I grew oranges.

Are you entitled to my oranges just because you grew apples?

If I mapped the area around my home, am I entitled to your efforts in mapping other areas of the world?

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

#279

Post by akritrime »

hackernewds wrote: post #269
isodev wrote: post #218

Earlier quoted context omitted.

> I feel … I have been tricked Everything “free” coming from a company means they’ve found a way to monetise you in some way. The big long ToS we all casually accept without reading says so too. Other random examples which appear free but aren’t: using a search engine, using the browser that comes with your phone, instagram, YouTube… etc. It’s not always about data collection, sometimes it’s platform lock-in, or some…

only a sith speaks in absolute. plenty of especially free AI products out there

and who is funding them? how are they paying for their servers? a product can't be free, someone somewhere is paying for it. the main question is why are they paying for it.

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

#280

Post by adamredwoods »

piyh wrote: post #53

Applications that I thought of as I read this: Real-Time mapping of the environment for VR experiences with built-in semantic understanding. Winning at geoguesser, automated doxing of anybody posting a picture of themselves. Robotic positioning and navigation Asset generation for video games. Think about generating an alternate New York City that's more influenced by Nepal. I'm getting echoes of neural radiance field…

AI guided missiles.
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