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
#282Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#283Earlier quoted context omitted.
Maybe they trust Pokemon as a IP? Usually Nintendo keeps your data safe.
Is this model not a safe use of the data?
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#284This 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…
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#285This 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 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…
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#286We 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?
Imagine a comedian saying this on stage, how many laughs would that get?
> Do people really think MyFitnessPal is trying to build a model of the average pantry?
We’ve all seen dumber things that are real. Juicero is my personal favorite example.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#287Earlier quoted context omitted.
Sarcastically, no one should. Unsarcastically, a lot of people believe user data belongs to users, and that they should have a say in how it's used. Here, I think the point is that Niantic decided they could use the data this way and weren't transparent about it until it was already done. I'm sure I would be in the minority, but I would never have played - or never have done certain things like the research tasks - h…
> Unsarcastically, a lot of people believe user data belongs to users, and that they should have a say in how it's used I can understand that people believe this, but why do they do? Nothing in our society operates in a way that might imply this.
Despite what success fantasies and other self-help garbage teach people, a lot of society — most of it, actually — does not work on greed. That you can ignore thinking about it is itself a statement about deep foundations under the shallow bling.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#288I'm confused by both this blog post, and the reception on HN. They... didn't actually train the model. This is an announcement of a plan! They don't actually know if it'll even work. They announced that they "trained over 50 million neural networks," but not that they've trained this neural network: the other networks appear to just have been things they were doing anyway (i.e. the "Virtual Positioning Systems"). The…
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#289Earlier quoted context omitted.
It's OK to adjust the title to have more relevant facts or to fix a poorly worded one. Editorializing is more like 'Amazing: Niantic makes world-changing AI breakthrough'.
The original title was not poorly worded though. The new one was editorialized to get a certain reaction out of readers — I promise you the responses on this thread would look different with the original title.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#290I'm confused by both this blog post, and the reception on HN. They... didn't actually train the model. This is an announcement of a plan! They don't actually know if it'll even work. They announced that they "trained over 50 million neural networks," but not that they've trained this neural network: the other networks appear to just have been things they were doing anyway (i.e. the "Virtual Positioning Systems"). The…