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

(nianticlabs.com)
383 points bookstore-romeo | 1 comments | 19 Nov 24 20:02 UTC | HN request time: 0s | source
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relyks ◴[20 Nov 24 22:26 UTC] No.42198768[source]▶
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.
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Taylor_OD ◴[21 Nov 24 00:44 UTC] No.42199845[source]▶
> and give you some useful items as rewards

Were you tricked, or were you just poorly compensated for your time?

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1. sangnoir ◴[21 Nov 24 02:19 UTC] No.42200418[source]▶
Frankly, with the amount of real-world walking required to progress in Ingress and Pokémon Go, most players were compensated by the motivation to get a decent amount of exercise, which had a net positive impact on their health. Most exercise apps require users to pay subscriptions for the pleasure of using them.