A survey of more than 2,000 smartphone users by second-hand smartphone marketplace SellCell found that 73% of iPhone users and a whopping 87% of Samsung Galaxy users felt that AI adds little to no value to their smartphone experience.

SellCell only surveyed users with an AI-enabled phone – thats an iPhone 15 Pro or newer or a Galaxy S22 or newer. The survey doesn’t give an exact sample size, but more than 1,000 iPhone users and more than 1,000 Galaxy users were involved.

Further findings show that most users of either platform would not pay for an AI subscription: 86.5% of iPhone users and 94.5% of Galaxy users would refuse to pay for continued access to AI features.

From the data listed so far, it seems that people just aren’t using AI. In the case of both iPhone and Galaxy users about two-fifths of those surveyed have tried AI features – 41.6% for iPhone and 46.9% for Galaxy.

So, that’s a majority of users not even bothering with AI in the first place and a general disinterest in AI features from the user base overall, despite both Apple and Samsung making such a big deal out of AI.

  • @ZeroGravitas@lemm.ee
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    1671 month ago

    A 100% accurate AI would be useful. A 99.999% accurate AI is in fact useless, because of the damage that one miss might do.

    It’s like the French say: Add one drop of wine in a barrel of sewage and you get sewage. Add one drop of sewage in a barrel of wine and you get sewage.

    • Dojan
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      521 month ago

      I think it largely depends on what kind of AI we’re talking about. iOS has had models that let you extract subjects from images for a while now, and that’s pretty nifty. Affinity Photo recently got the same feature. Noise cancellation can also be quite useful.

      As for LLMs? Fuck off, honestly. My company apparently pays for MS CoPilot, something I only discovered when the garbage popped up the other day. I wrote a few random sentences for it to fix, and the only thing it managed to consistently do was screw the entire text up. Maybe it doesn’t handle Swedish? I don’t know.

      One of the examples I sent to a friend is as follows, but in Swedish;

      Microsoft CoPilot is an incredibly poor product. It has a tendency to make up entirely new, nonsensical words, as well as completely mangle the grammar. I really don’t understand why we pay for this. It’s very disappointing.

      And CoPilot was like “yeah, let me fix this for you!”

      Microsoft CoPilot is a comedy show without a manuscript. It makes up new nonsense words as though were a word-juggler on circus, and the grammar becomes mang like a bulldzer over a lawn. Why do we pay for this? It is buy a ticket to a show where actosorgets their lines. Entredibly disappointing.

      • KSP Atlas
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        191 month ago

        Most AIs struggle with languages other than English, unfortunately, I hate how it reinforces the “defaultness” of English

        • Sixty
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          01 month ago

          I guess there’s not much non English internet to scrape? I’m always surprised how few social media platforms exist outside of the USA. I went looking because I was curious what discourse online would look like without any Americans talking, and the answer was basically “there aren’t any” outside of shit like 2ch.

          • KSP Atlas
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            1 month ago

            There are definitely non american social media platforms and groups and stuff, I’m guessing the same thing keeping you from knowing about them is keeping other americans from knowing about them

            • Sixty
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              030 days ago

              Maybe but idk what you mean.

              I could however use a list if you felt like making one for some rando online.

      • @Oggyb@lemmy.world
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        11 month ago

        That’s so beautifully illustrative of what the LLM is actually doing behind the curtain! What a mess.

        • Dojan
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          11 month ago

          Yeah, it wonks the tokens up.

          I actually really like machine learning. It’s been a fun field to follow and play around with for the past decade or so. It’s the corpo-facist BS that’s completely tainted it.

    • @Imacat@lemmy.dbzer0.com
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      111 month ago

      99.999% accurate would be pretty useful. Theres plenty of misinformation without AI. Nothing and nobody will be perfect.

      Trouble is they range from 0-95% accurate depending on the topic and given context while being very confident when they’re wrong.

      • @merc@sh.itjust.works
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        101 month ago

        The problem really isn’t the exact percentage, it’s the way it behaves.

        It’s trained to never say no. It’s trained to never be unsure. In many cases an answer of “You can’t do that” or “I don’t know how to do that” would be extremely useful. But, instead, it’s like an improv performer always saying “yes, and” then maybe just inventing some bullshit.

        I don’t know about you guys, but I frequently end up going down rabbit holes where there are literally zero google results matching what I need. What I’m looking for is so specialized that nobody has taken the time to write up an indexable web page on how to do it. And, that’s fine. So, I have to take a step back and figure it out for myself. No big deal. But, Google’s “helpful” AI will helpfully generate some completely believable bullshit. It’s able to take what I’m searching for and match it to something similar and do some search-and-replace function to make it seem like it would work for me.

        I’m knowledgeable enough to know that I can just ignore that AI-generated bullshit, but I’m sure there are a lot of other more gullible optimistic people who will take that AI garbage at face value and waste all kinds of time trying to get it working.

        To me, the best way to explain LLMs is to say that they’re these absolutely amazing devices that can be used to generate movie props. You’re directing a movie and you want the hero to pull up a legal document submitted to a US federal court? It can generate one in seconds that would take your writers hours. It’s so realistic that you could even have your actors look at it and read from it and it will come across as authentic. It can generate extremely realistic code if you want a hacking scene. It can generate something that looks like a lost Shakespeare play, or an intercept from an alien broadcast, or medical charts that look like exactly what you’d see in a hospital.

        But, just like you’d never take a movie prop and try to use it in real life, you should never actually take LLM output at face value. And that’s hard, because it’s so convincing.