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Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
61–70 of 365 posts
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#62This 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…
Call an intellectual property attorney?
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#63Earlier quoted context omitted.
I don't understand this perspective. Why should I resent the creation of value from behaviours that I would be doing anyway.
You're mislabeling rent-seeking as value creation. Perhaps this is the root of your misunderstanding?
Not really, you're assuming that your independent actions or forum comments have intrinsic value. They do not.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#64Earlier quoted context omitted.
People have a lot of strange beliefs about the CIA. Why would they even care about this?
Upload a picture of a bad guy in an office lobby to pokegpt and ask it where he is.
You can do that for free by sending the picture to a geoguessr streamer on twitch.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#65Not 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 public knowledge not an asset class in itself.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#66This 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…
Honestly you should have assumed they were using the collected data for such a purpose. It would be shocking if they weren't doing this directly or selling the data to other companies to do this.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#67Interestingly, Pokemon GO only prompts players to scan a subset of the Points of Interest on the game map. Players can manually choose to scan any POI, but with no incentive for those scans I'm sure it almost never happens.
> 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.
This 1 in 10 figure is about accurate, both from experience as a player and from perusing the mentioned Visual Positioning System service. Most POI never get enough scan data to 'activate'. The data from POI that are able to activate can be accessed with a free account on Niantic Lightship [1], and has been available for a while.
I'll be curious to see how Niantic plans to fill in the gaps, and gather scan data for the 9 out of 10 POI that aren't designated for scan rewards.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#68Earlier quoted context omitted.
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I don't understand this perspective. Why should I resent the creation of value from behaviours that I would be doing anyway.
Because AI is going to create a world where only a few hundred trillionaires and a few thousand billionaires exist while everyone else is in desperate poverty.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#69Earlier quoted context omitted.
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? Or training a model on their likeness for porn?
I don't like bad arguments like this.
It is exactly the conclusion that capitalism and maximizing shareholder value leads to.
Re: Niantic plans a “Large Geospatial Model” trained on Pokémon Go player data
#70I’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
Yes it must be almost an exabyte of data.