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

(nianticlabs.com)
383 points bookstore-romeo | 3 comments | 19 Nov 24 20:02 UTC | HN request time: 0s | source
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dankwizard ◴[21 Nov 24 03:51 UTC] No.42200923[source]▶
We do this at MyFitnessPal.

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 what is next

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1. noduerme ◴[21 Nov 24 04:02 UTC] No.42200972[source]▶
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 safeguarding all that private data? You could well be illegally in possession of classified documents, unconsenting nudes, all kinds of stuff. And it sounds like it's not even encrypted.

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2. ◴[21 Nov 24 04:37 UTC] No.42201172[source]▶
3. hackernewds ◴[21 Nov 24 06:02 UTC] No.42201553[source]▶
please don't feed the trolls