• Wait, did we go from being freaked out that our devices might be passively recording our speech to accepting it as the “good and normal” version of things? Cause I’m pretty alarmed at both.

    • @Pipoca@lemmy.world
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      1 year ago

      Your devices recording you is something that doesn’t happen.

      That requires a lot of bandwidth, or a lot of battery and a little bandwidth. There’s no evidence of that happening.

      Honestly, the creepier thing is that they don’t have to to get creepily accurate ads.

      Geolocation data means they know who you spend time with. They also know their search history. They know your interests. They can look at what people who seem similar to you search for.

      Plus, they serve you a lot of ads so they can afford to have a lot of misses.

      • Your devices recording you is something that doesn’t happen.

        There’s no evidence of that happening.

        What’s your basis for this claim? I mean that might be the case, but is there some reason you’re able to have so much certainty?

        I understand the “bandwidth” argument, and the “they don’t even need that” argument (I make a similar case in a comment to another reply), but neither of those support the idea that it can’t be happening.

        Getting around the bandwidth problem isn’t that crazy: Low bitrate encodings (cause the audio doesn’t need to be human-comprehensible) and edge compute (i.e. doing some work on the device before sending anything) could mitigate this significantly, so it’s hardly impossible.

        I think we mostly agree, I just wouldn’t apply that degree of certainty. But if you’re really confident that it’s definitely not happening because it’s definitely not possible, maybe you know something I don’t?

      • @cheery_coffee@lemmy.ca
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        31 year ago

        I guarantee you could do it all on-device with only a few KB upload per day.

        Use a poor quality but fast text to speech algo, and use a bloom filter to track ad keyword hits and upload it periodically. It’ll use very little battery or data. If you’re wrong, the users don’t click and your online ad server explores other keywords.

        I don’t think they need to do this though.

      • @baropithecus@lemmy.world
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        21 year ago

        Personal story time. A few years back, I texted (through Whatsapp) a colleague for a few minutes about a friend taking up welding as a supplementary source of income, and immediately (within the day) received a targeted ad in the Duolingo app for… welding torches. Important facts, I don’t weld, I’ve never done any welding and I don’t know anything about welding. How this bit of info got from whatsapp to whomever was providing interstitial ads in the duolingo app, I have no idea. My best guess is still that google’s keyboard app is logging every single keystroke I type and aggregating it in a database somewhere. I can’t fathom how that shit isn’t extremely illegal.

        • @Pipoca@lemmy.world
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          11 year ago

          Right - that would require enough battery and processing power to make it obvious that it’s doing something like that.

          • @mexicancartel@lemmy.dbzer0.com
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            11 year ago

            I don’t think so. Text to speech and speech to text engines are availiable locally without much power i guess. Also there could be error prone algorithm which records low quality audio for sake of performance and extended battery which is still enough. Also its not far off from recording and sending low quality audio to servers as intermet speeds are much faster than an audio stream

            • @Honytawk@lemmy.zip
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              11 year ago

              They are available locally yes, but not without much power and processing.

              So much power and processing usage, you would notice.

    • especially as it doesn’t even happen.

      “oh yeah well how come I was talking about something mundane, common and extremely popular and then but 4 days later saw an ad for it?!?!?”

      big mystery indeed

      • You’re getting some downvotes, but yes, lol. I mean I’m not sure there’s never any surreptitious hot mic eavesdropping going on, but people definitely often assume so when there’s a more parsimonious explanation, e.g.:

        Most peoples’ ads are targeted based on more mundane technology, and they see hundreds of ads per day, so if even 1% of their ads overlap with something that they were just talking about, they’ll still be fairly likely to see a spooky “I was just talking about that!” ad relatively frequently. Not to mention that they’re likely to be thinking about a thing because their platforms are also proactively marketing that thing to them. Just pareidolia, no eavesdropping necessary.

        Doesn’t mean eavesdropping isn’t happening-- Just means it doesn’t need to be happening for that effect to occur.

        • I’m in marketing, I subscribe all all marketing new sources, I run a martech stack of a bunch of different channels: paid 3rd party syndication, search intent, ecosystem intent, technographics, firmographics, psychegraphics, funding round research, paid and organic social, paid and organic SEO, display, video, in app placements, new hiring intent… none of these platforms offer me “conversational intent”

          so it’s only usage would be if

          a) you are already cooked (or server side ID’d) b) your conversation procs a buying intent signal for an affinity cluster c) they secretly inject that signal into the data and obfuscate its source

          well, now you just have worse data that’s also illegal. So what’s the motivation?

      • @Honytawk@lemmy.zip
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        21 year ago

        It is rarely some coincidence and has more to do with extrapolating data.

        If you talk with a friend about getting a pet, your phone and by extension the ad company that receives your location data, knows you 2 saw each other.

        If that other person searched for pet food, then you will also receive ads for pet food even though you “only talked about it”.

        Other example, you post you have a new job on Facebook (which a lot of people do). Facebook knows where you live because of location data, and they know where the company is located since it is public data. So they know how close those 2 are. If Facebook then looks through your photos and notices none of them have a picture of a bike in the last 5 years. Then you are likely to buy a bike in order to go to work. Thus you get ads for bikes.