Live data from Hacker News

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

nianticlabs.com

231–240 of 365 posts

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

#231
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…

Weren't they pretty open about this being their business model?

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

#232
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…

[deleted]

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

#233
post #194

Earlier quoted context omitted.

> I have been tricked into working to contribute training data so that they can profit off my labor You were playing a game without paying for it. How did you imagine they were making money without pimping your data?

> You were playing a game without paying for it. I CALL BS. We paid ALL THE TIME! We pay even item's capacity so much they need to increase the limit recently[1]. Ref: [1] https://www.facebook.com/PokemonGO/posts/1102918761192160

[deleted]

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

#234

Earlier quoted context omitted.

The policy defines "Services" as the mobile app and website. How is building a general purpose model for what the average fridge looks like used to customise either the website or the app? This feels like the kind of flimsy reasoning that only holds so long as no one is challenging it.

Easy. They provide this new general purpose model through the website. Bam, that's a Service that uses photos to customize. They can also expand what counts as a Service unilaterally. With this broad of a privacy policy, they can start MyFitnessPal.com/UncroppedCandidPhotos where they let people search for users by name, email, or phone and sell your photos to the highest bidder, and that still would count as a Servi…

> No, it is written by professional lawyers to be as permissive as possible.

But you repeat myself.

OK, say they do all that, that isn't customisation (I would argue) it is a new service that was built from unconsented data scraped from users of the pre-existing services. Call that splitting hairs if you like, but this looks like a risk to me.

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

#235
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 consistently incentivize you to scan pokestops (physical locations) through "research tasks" and give you some useful items as rewards.

There are plenty of non-scan tasks you can do to get those rewards as well but I do think Poffins (largely useless unless you are grinding Best Buddies) are locked behind scan tasks.

Source: Me. This is the one topic I am very qualified to speak to on this website.

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

#236

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 exa…

Very interesting. What is the current state of this tech?

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

#238
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…

As the old adage goes, "if you're not paying for the product, you ARE the product"...

It should just be "you ARE the product" giving that they don't care if you paid them or not.

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

#239
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 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...

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

#240

Earlier quoted context omitted.

I’d be interested in how your privacy policy allows this. I can’t find where it mentions photos are stored or used for training purposes…

The MyFitnessPal privacy policy says "We use photos, videos, or other data you provide to us to customize our Services." [1] That's all they need to do to cover themselves. [1] https://www.myfitnesspal.com/privacy-policy

> That's all they need to do to cover themselves.

If this is real and not a joke, I bet some DPA will disagree if this is brought to their attention. Effective consent under GDPR requires informed consent.

Post reply on HN