• @MvPts@lemmy.world
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    134 months ago

    Have fun with my spoofed Geolocations going 30km/h through every Building in Zaragosa

  • @frunch@lemmy.world
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    344 months ago

    Bothers me that much of this data has been collected without explaining what its intended purpose is. All those captchas that want you to pick out cars or bikes etc, Pokemon game that wants you to scan locations for free items… It simply never occurred to me that these were actually just ways to train AI surreptitiously

    • @catloaf@lemm.ee
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      294 months ago

      Never? They were very clear about the first captchas being used to train OCR, way back in like 2010.

      • @sem@lemmy.blahaj.zone
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        74 months ago

        Every day that I play Pokemon Go, I’m aware that I’m making a Faustian bargain for motivation to take a walk in exchange for my privacy.

        • Darth_Mew
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          -34 months ago

          have fun when the “invaders” are roaming your streets and know exactly where you are because you showed them your walk for 10 years. big rip pika pika hot though amirite

            • Darth_Mew
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              4 months ago

              how exactly did I imply I’m above anything? I am referring to people in the US giving their GPS/location data freely and continually moron. you’re actually braindead

              lMfAo 🤓🤡

  • Maiznieks
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    4 months ago

    Good luck driving via my gps drifts as i block the phone antennas to get more kilometers. If anything, nianitic is incompetent af, i played ingress for years and i know what they are “capable of”.

    • @RebekahWSD@lemmy.world
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      24 months ago

      For some reason my phone drifts like mad when I place it next to my wifi boxen. I’ve hatched so many eggs as my character just fucking charges around town. Good luck, cars! I obey no road rules!

  • @WalnutLum@lemmy.ml
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    44 months ago

    It’s strange that Niantic is doing this when google has been doing the same thing with its own street map data.

    Seems weird to make a competing product when (I thought) they are on good terms.

    • @11111one11111@lemmy.world
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      04 months ago

      Google is going to get broken up. To what extent is the question. Companies positioning themselves for the aftermath of the Google break up like this isnt too wierd. Who knows what companies will aquire which Google assets so having your own means to seperate yourself from Google is just playing it safe.

    • @Darkassassin07@lemmy.ca
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      84 months ago

      Seems to be a tool for taking an image and Geo-locating it, even in cases where other sources of data like Googles street map cars are insufficient.

      • @jacksilver@lemmy.world
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        64 months ago

        The issue is it’s going to be trained only on places people go. My understanding is that most geolocating systems are more focused on the uncommon or less traveled locations. Maybe I’m wrong, but I guess they’re probably tested it out before announcing it.

        • @FarFarAway@startrek.website
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          14 months ago

          You’d be surprised how a pokemon go player will open the app in the middle of the wilderness, even with one questionable reception bar, just to see if there’s a secret rare pokemon that lives there. Bonus if you get a postcard from a pokestop someone submitted, because that trail mile marker is “special.” You can keep it for memories, or send it to a friend you’ve never spoken to, for bragging rights. It’s also not unheard of, for people to crawl through backroads in their car, since the app won’t let catch pokemon or count km’s, if you go more than ±15 mph.

      • @Imgonnatrythis@sh.itjust.works
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        24 months ago

        Seems questionably reliable as an independent system. Maybe could help refine more traditional systems? Not sure I understand a use case for this.

        • @jacksilver@lemmy.world
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          34 months ago

          It definitely has applications in defense/Intel spaces. Knowing where a photo was taken can be really useful info.

    • 🔍🦘🛎
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      4 months ago

      AI delivery bots maybe? It’s basically an aggregate of “here’s where it’s possible/common to walk” so it’s not useful for driving/flying AI. Also useful for marketing, knowing where foot traffic is.

      The article says they’re treating it as a Large Geospatial Model (like a Large Language Model), so it seems like you could use that as a predictive way to navigate between two points. With an LLM it spits out phrases based on context. The LGM would return paths based on context.