whenyellowstonehasitsday

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Joined 1 month ago
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Cake day: August 14th, 2024

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  • Yes, that’s what I’ve been trying to explain

    jwo is a different problem than the separate checkout kiosk you’re describing

    jwo is the same problem as is in the image

    JWO was not built to be accurate, it was built to be convenient

    it was built to be accurate within the boundary of “no checkout step”

    at this point it feels like you’re deliberately misinterpreting me

    Notice how the “bowl” is a white square with each fruit placed in a way where they’re separated by the whitespace

    unless somebody moves or jostles them while taking some fruit

    you’re essentially making the exact same naive assumptions about the operating environment that led to jwo’s failures

    if “just track which one disappeared” was a valid solution to the problem, jwo wouldn’t have failed

    The hardest part about the berry bowl would by far be determining the person taking the fruit

    facial recognition is a thoroughly solved problem, at least in terms of the accuracy that we’re aiming for here


  • it’s AI, it’s made of statistics, there will always be some errors

    7 in 10 required manual review

    This is as opposed to blurry store cameras looking at an entire aisle from 20 feet away and trying to guess what item the customer is taking off the shelf. It’s an entirely different problem space in every way that matters.

    which is why that wasn’t the setup of just walk out

    every location was quite literally purpose built with the express goal of making the just walk out technology as accurate as it possibly could be

    You place the item on the pad and it selects the most likely item in the store based on what it sees

    this is a completely different problem

    nobody’s placing the berry or berries they decide to eat or not eat in a separate area before placing them in their mouth





  • automated checkout tech is actually good enough to be used in production now

    not really.

    amazon’s just walk out is the leader in this area, and it came out recently that the bulk of transactions, 7 in 10, are offloaded for manual review in india

    amazon of course denied the claim, but so in vague corporate speak, and failed to provide figures to counter the 7-in-10. they also did confirm that they’re scaling back just walk out. i don’t think those things would be the case if this technology worked as they were hoping.


  • this isn’t counting people. this is working out which item or items people pick up from a shelf and decide to keep, if any. that isn’t just similar to the automated checkout problem: it’s the same exact problem. if anything, this iteration of it is more challenging because a blueberry is a fair amount smaller than a tin of beans.