• RBG@discuss.tchncs.de
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    3 months ago

    Guys, its a joke, a meme. Some guy makes these fake notices like the woman who sweats on your couch, maggots appear and you are supposed to eat them to heal yourself.

      • jaybone@lemmy.world
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        3 months ago

        But that’s not a bowl. It’s more like a box. No, it’s ok. I’ll get on the call at 10pm.

      • Feathercrown@lemmy.world
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        3 months ago

        Some companies do outsource their “AI” to India, but automated checkout tech is actually good enough to be used in production now. A plain white background with separated fruits like this is exactly the environment where it works best.

        • whenyellowstonehasitsday@fedia.io
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          3 months ago

          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.

          • Feathercrown@lemmy.world
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            3 months ago

            Just because Amazon, king of scams, is doing an AI scam, that doesn’t mean that the underlying technology is impossible to use with minimal errors (it’s AI, it’s made of statistics, there will always be some errors).

            Anyways, “just walk out” works in a different way than the fruit recognition in the OP or the checkout machines I was talking about. Image recognition of a discrete item over a white background (or a checkered background) is like, the literal ideal case for image recognition accuracy. 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.

            Anyways, even ignoring theoretical arguments, I know it’s production-ready because it’s currently beong used in production. There are dozens of stores in Calofornia right now that use checkout machines with a camera that points down towards a plain background “pad”. You place the item on the pad and it selects the most likely item in the store based on what it sees. I’ve seen a live demo of these machines where you take ~10-15 pictures of an item from different angles/rotations/positions and add it to the list of recognizable items, and the machine was able to diatinguish between that item and others accurately. This was in a very candid and scam-unlikely environment (OpenSauce) and by my evaluation this is easily consistent with other known-good image recognition applications.

            • whenyellowstonehasitsday@fedia.io
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              3 months ago

              not in the ways that matter, and small, organic items like individual berries are far harder to account for than standardized product packaging

              • Feathercrown@lemmy.world
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                3 months ago

                That’s not necessarily true-- in fact, two similarly packaged items that are otherwise different might actually be harder to tell apart when packaged.

              • BeardedGingerWonder@feddit.uk
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                3 months ago

                Could be or could be the berries are put in the same arrangement each day and it’s just tracking which black blob disappears.

          • Feathercrown@lemmy.world
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            3 months ago

            [Sorry, double posted, my mobile connection is pretty bad rn]

            Just because Amazon, king of scams, is doing an AI scam, that doesn’t mean that the underlying technology is impossible to use with minimal errors (it’s AI, it’s made of statistics, there will always be some errors).

            Anyways, “just walk out” works in a different way than the fruit recognition in the OP or the checkout machines I was talking about. Image recognition of a discrete item over a white background (or a checkered background) is like, the literal ideal case for image recognition accuracy. 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.

            Anyways, even ignoring theoretical arguments, I know it’s production-ready because it’s currently beong used in production. There are dozens of stores in Calofornia right now that use checkout machines with a camera that points down towards a plain background “pad”. You place the item on the pad and it selects the most likely item in the store based on what it sees. I’ve seen a live demo of these machines where you take ~10-15 pictures of an item from different angles/rotations/positions and add it to the list of recognizable items, and the machine was able to diatinguish between that item and others accurately. This was in a very candid and scam-unlikely environment (OpenSauce) and by my evaluation this is easily consistent with other known-good image recognition applications.

            • whenyellowstonehasitsday@fedia.io
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              3 months ago

              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

              • Feathercrown@lemmy.world
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                3 months ago

                this is a completely different problem

                Yes, that’s what I’ve been trying to explain. And no, JWO was not built to be accurate, it was built to be convenient. That’s a very different incentive that will lead to skipping alternatives that are less convenient but more accurate-- like the checkout kiosks I’ve been talking about. I’m not defending JWO and it’s obviously both a harder problem and one that’s not managed well, focusing on optics over accuracy.

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

                That’s not necessary, they’re already placed in a nearly ideal environment by the person setting up the berry bowl. Notice how the “bowl” is a white square with each fruit placed in a way where they’re separated by the whitespace. You wouldn’t even need to train a model on the whole bowl, you could just do an image region detection --> object recognition pipeline. The hardest part about the berry bowl would by far be determining the person taking the fruit! (In fact, I wouldn’t be surprised if that was manually reviewed, with that few instances to look at.)

                • whenyellowstonehasitsday@fedia.io
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                  3 months ago

                  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

      • disguy_ovahea@lemmy.world
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        3 months ago

        That was for automated checkout. Video people counters have been around for years. I’ve worked for companies that used them to count customers by department.

        • whenyellowstonehasitsday@fedia.io
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          3 months ago

          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.

      • candyman337@sh.itjust.works
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        2 months ago

        No, facial recognition works (unfortunately), it’s just not good enough to look at an entire shopping cart and know what’s in it lol

    • GeneralEmergency@lemmy.world
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      3 months ago

      If lemmites didn’t have the social skills of a mosquito at a funeral they might be able to pick up on the INCREDIBLY subtle joke here.

    • I_Has_A_Hat@lemmy.world
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      3 months ago

      I worry about the state of the world seeing how many people just take shit like this at face value without taking even a second to think about it.

  • Havald@lemmy.world
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    3 months ago

    Wow, I absolutely detest people like this. How sad and pathetic does your life have to be to be doing something like this. Why can’t people just be normal???! Imagine if everyone went around spreading misinformation like that guy. Plums are not berries, people! Don’t let big berry claim this juicy deliciousness as their own!!!

  • halvar@lemm.ee
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    3 months ago

    This is basically the algorithms of the big tech companies but with extra steps. I guess it greatly illustrates how absurd they actually are and how weird it is to just shrug them off.

        • UnderpantsWeevil@lemmy.world
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          3 months ago

          “Nobody can agree”?

          Is this kind of like how nobody can agree on whether we landed on the moon or whether climate change is real?

          • Leg@sh.itjust.works
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            3 months ago

            My thoughts too. It definitely works. That’s why I despise advertising and block all attempts at it. Don’t tell me what to think, assholes.

            • SpaceCowboy@lemmy.ca
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              3 months ago

              Yeah it’s really bizarre how we just accept that there’s this massive industry dedicated solely to emotionally manipulating people into buying shit. If it wasn’t reality and we just saw it portrayed in a sci-fi movie, we’d think “this movie is dumb, why would people ever put up with that kind of bullshit existing?”

              • Leg@sh.itjust.works
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                3 months ago

                Right? Now we have people claiming you have a moral obligation to watch ads because they support X or Y. Bizarre is a good word.

        • Buddahriffic@lemmy.world
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          3 months ago

          Anecdotal, but I’ve boycotted products or stores because of annoying ads in the past. And even clever or entertaining ads eventually get annoying if they are shown too much.

          I block most ads these days, so longer contribute to the negative ad returns like I used to, but I am curious about how many others like me are out there.

          • WammKD@lemmy.blahaj.zone
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            3 months ago

            My spouse is like that; they’re so anti-advertising that they’ll close their mobile games once the ad. appears and re-open the game, just to not watch it.

            And they’re definitely the type to stop buying from a company because the ad.s were annoying.

            • Buddahriffic@lemmy.world
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              3 months ago

              Anyone from Canada in the late 90s/early 00s might remember that Canadian Tire guy. His character was kinda a personified commercial, he was just so enthusiastic about the Canadian Tire product that could help this common problem that it was off putting. Even though those windshield wipers that were one curved piece that would conform to the shape of your windshield looked like exactly what I wanted, I didn’t step foot in a Canadian Tire until years after they got rid of him.

              • SpaceCowboy@lemmy.ca
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                3 months ago

                That’s the one kind of advertisement I think is acceptable. “Here’s a product you probably didn’t know existed.” That’s actually informative. Be straight up with me, you have products I might need, tell me what they are and we’re done.

                The ones that are sneakily trying to make it so I trust a brand with music and high production values are the ones that are disturbing to me. I feel like most companies make both shit products and some good products too. These corporations are massive so it’s not like it’s just one extremely qualified team of people making all of their products. Different divisions different quality of products, so the brand is meaningless. But somehow branding is the big focus of marketing now and it’s all a meaningless waste of time.

                • Buddahriffic@lemmy.world
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                  3 months ago

                  Yeah, those ads that feel meaningful but really aren’t.

                  Though the worst ones are the ones that use emotional manipulation, like making parents think a new minivan or a can of ground coffee will bring their family back together. I think the “play cool music with extreme visuals to make teenagers think we’re cool” also qualifies for emotional manipulation, though it feels a bit less sinister. But the more I think about it, the less I feel like it is more sinister, since they are all preying on complex desires that they imply they will help with but can’t really deliver on.

        • flerp@lemm.ee
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          3 months ago

          That sounds like misinterpretation of studies if I had to guess. If anything maybe it would be how well they work at certain investment levels with breakpoints where it is no longer worth putting in additional money, or the efficacy of CERTAIN types of advertising. But IF they work at all? I am highly suspect of that even being a question. Brands that are well advertised are well known, and people who aren’t bothered to do research into every single product they buy are more likely to buy a product they have heard of before.

          And if you’re an independent creative, like author, artist, musician, developer, and you DON’T advertise, you will sell zero copies of your work.

  • Evil_Shrubbery@lemm.ee
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    3 months ago

    Same landlord: follow me on my socials to know more about how your average poop size and weight compares to your neighbours.

    • marcos@lemmy.world
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      3 months ago

      Random “surprise paint”, perfect for placing acidic fruits. I don’t see why one would have a problem with it.

      It really being latex paint with toxic solvents is the best case scenario here.

    • Retrograde@lemmy.world
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      2 months ago

      Yeah I’ve been disappointed with Omar’s performance this year, he’s gotta pump up those plum numbers

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    3 months ago

    Meh. It’s a bit less creepy than any website that tracks you, but in this case you get to see the results. Plus: free berries are nice.

  • norimee@lemmy.world
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    3 months ago

    That last sentence would freak me out. It takes it from maybe thats just a weird and eccentric landlord to CREEP ALARM!!!

    But this is fake, right?