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

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.

Were you really tricked? Hard to believe that someone on Hacker News saw Pokemon Go and didn't immediately think of the data collection possibilities.

It may surprise you to learn pokemon go is nearly a 10 year old game based on 40 year old beloved IP that when it was released did not exist in the same data hellscape we do today, and even if it did, the attraction of the IP would overrule people thinking about this kind of thing. These kinds of comments are extraordinarily disingenuous sounding, particularly when anyone can spend 3 seconds and figure out their primary market is literal children.

> [...] when it was released did not exist in the same data hellscape we do today [...]

That was fairly obvious at the time. And people used more or less exactly the same language to describe the world back then, too.

> These kinds of comments are extraordinarily disingenuous sounding, particularly when anyone can spend 3 seconds and figure out their primary market is literal children.

Poke Mongo was popular with people of all age groups, and (most) children have parents or other guardians to help them with these decisions.