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How do you know there aren't humans on the other side of the cameras doing the item-customer matching? Go has relatively few stores. Seems like the sort of thi
by trimbo 6y ago
How do you know there aren't humans on the other side of the cameras doing the item-customer matching?
Go has relatively few stores. Seems like the sort of thing you can still do manually, especially if the model expresses doubt.
- tracer4201 6y agoI went to one of these stores in Seattle on a weekday afternoon with a couple friends. It was literally packed with people. We tried breaking the system by leaving items in random places and exchanging them between us. It still charged me accurately for a couple bottled waters, a sandwich, and some other snacks.
- trimbo 6y agoAgain, how do you know there aren't humans on the other side of the cameras/sensors facilitating this? At the scale they're operating at and the accuracy you point out, to me it's more plausible they're having humans assist.
- nicoburns 6y agoI think they're saying that humans behind cameras likely wouldn't be able to do this accurately.
- trimbo 6y agoExcept that cameras in stores have been used for anti-shoplifting for decades. They've been used for more subtle things like monitoring tables at casinos. I mean, I'm just asking the question how people know for sure Go isn't (at least partly) a Turk. It seems like an obvious thing to ask? But I first came to wonder if there's manual component involved after shopping a few times at Go. When it was busy, it took sometimes well over an hour to get a receipt. When it was empty, it was immediate. How come? Also, the accuracy is completely anecdotal both ways... at least one person I visited the store with never got billed.
- klyrs 6y agoThis is the fun kind of Turing test: tasks where only a computer/mechanized system can succeed.
- m463 6y agoCustomer "4201, tracer". Troublemaker. Enable customer-specific pricing increases until resolution.