• MudMan@kbin.social
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    1 year ago

    So this is weirder than it looks at a glance.

    That is not an LLM-generated search result. That is a funny ha-ha mistake a LLM made that then some guy compiled in his blog about AI.

    Google then did their usual content-stealing thing, which probably does involve some ML, but not in the viral ChatGPT way and made that card by quoting the blog quoting the LLM making the mistake. And then everybody quoted that because it’s weird and funny and it replicates all the viral paranoia about this stuff.

        • MudMan@kbin.social
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          1 year ago

          I mean, as long as you are ok with also nuking all search engines.

          To be honest, text chatbots have done very little to move the needle one way or the other, and all search engines are barely usable right now, chatbots or no. I had some hopes for an AI implementation with speciific training on how to parse search results, but all we’re getting is the first couple of results read back to us.

          So yeah, I get that people needed a new bad guy after crypto imploded, but it’s a shame that the discourse became what it is, in that it both fails to pay off on tech that is actually pretty cool when used right and it leaves a lot of old tech that is getting noticeably worse off the hook.

      • Steeve@lemmy.ca
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        1 year ago

        Lol “AI invasion”? If that’s what this is you “lost” over a decade ago. LLMs are a massive leap in NLP technology, but AI backs everything already.

  • Jay@sh.itjust.works
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    1 year ago

    This joke is really old now.

    And yes, even if such mistakes are funny at first glance, it doesn’t change the fact that the field of AI has developed incredibly in the last year. And this development actually has the potential to completely change our economy. And not only that.

    No, I’m not fun at parties.

      • SCB@lemmy.world
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        1 year ago

        A lot more companies are making and saving quite a lot of money because of it

        People downplaying the value of AI are like people in 1993 talking about how the Internet is just a playground for nerds.

        • baatliwala@lemmy.world
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          1 year ago

          Most companies are still piggybacking off of big tech because of the scale of LLMs. If big tech companies are having problems then everyone else will sooner or later. The more simple ones can probably be done on worse machines but not all and certainly not something on the scale of ChatGPT

          • SCB@lemmy.world
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            1 year ago

            They’re “piggybacking off of big tech” the way every company that uses PowerPoint does

            I’m sorry man but this comment just laughs in the face of reality. The use of AI across the board is skyrocketing.

            I no longer need a video team, or to outsource video content creation, because of a tool we get for $20/month. This is the tiniest fraction of the currebtly-deployed impact.

            My last company implemented AI-run workforce planning, AI-enabled call monitoring that cut out QA team more than in half, and AI chat systems that freed up 80% of our chat team to transition to Live.

            That’s 2 companies. There are hundreds of AI products out there. AI will be everywhere in less than a decade.

            • yamanii@lemmy.world
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              1 year ago

              I no longer need a video team, or to outsource video content creation, because of a tool we get for $20/month

              Not disproving the AI will kill too many jobs alegation.

            • baatliwala@lemmy.world
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              1 year ago

              Are you running your PowerPoint directly off of Azure? You must be having the most greatest slideshow on earth then.

              • SCB@lemmy.world
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                1 year ago

                You must be having the most greatest slideshow on earth the

                Your disingenuous post aside, I kind of do, yeah

      • Steeve@lemmy.ca
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        1 year ago

        Ah yes, the trend of every new technological development ever. Apparently investment is “hemorrhaged money” until it’s profitable.

        • bustrpoindextr@lemmy.world
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          1 year ago

          You didn’t even bother reading it. This isn’t counting investment, it’s straight up losing money right now, not counting investment. Microsoft’s customer model charges $10 a month/user to use it and it’s turned out to cost $30 a month/user. The other big firms are seeing similar costs.

          These LLM require huge amounts of processing, then when your users are spending resources to do very simple tasks, which is basically all the models are useful for right now, it costs a stupid amount of money to do stupid things.

          This is not to say that it cant be useful in the future, or smaller purpose built models can’t be useful. But these vast generic models literally hemorrhage money as it stands.

          • Steeve@lemmy.ca
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            1 year ago

            Some features are meant to drive engagement, not revenue. Some products are sold at a loss to drive engagement. This article is a very simplistic view of how technology has always worked for a product in it’s infancy.

    • Steeve@lemmy.ca
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      1 year ago

      Lemmy is the worst place to get your information on the field of AI or really tech in general lol. “Technology” is a bad word and the only upvoted posts are just false confirmation bias that tech corporations are in some sort if imaginary “death spiral”.

    • echo64@lemmy.world
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      1 year ago

      also, no one said the AI that is going to replace everyone’s jobs and kill the economy because we don’t have a society or economical system that can survive that amount of job losses inside of it was going to be good, or accurate.

      the goal of ai isn’t to be good or accurate, it’s to seem plausible.

      • kronisk @lemmy.world
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        1 year ago

        The history of chatbots for support purposes show us that jobs will be replaced not when they can be done as good, but good enough, and what “enough” means is going to be a race to the bottom kind of situation over time.

  • funkless_eck@sh.itjust.works
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    1 year ago

    Hubspot AI chat bot told me to go three levels deep into a menu that doesn’t exist, to click a button that doesn’t exist to enable a service that doesn’t exist to solve a problem I had.

    My company pays a 5-figure yearly sum for this service 👍

  • Pasta Dental@sh.itjust.works
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    1 year ago

    Is there a uBlock filter list for AI SEO websites? If not then I guess I should make one, it would make my life so much easier especially when looking for a product

    • MudMan@kbin.social
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      1 year ago

      It will, but stuff doesn’t get better linearly forever. That’s why everybody in the 50s thought we’d be living in Mars, have starships and flying cars by now. Also why a bunch of investors and nerds thought AI was the new social media at some point.

      Turns out most things get a lot better very fast and then a little better very slowly, and it’s very, very hard to know when that line is going to flip ahead of time.

      • Kedly@lemm.ee
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        1 year ago

        I do want to point out that while our tech doesnt look as amazing in the same way as the 50’s thought it’d be, its pretty amazing in its own ways. I’m writing this message to you on a glass obelisk physically connected to nothing, that enables me to talk to my adopted family on the literal opposite end of the planet with maybe a few seconds of delay (if that), who dont speak the same language as me, and its more than 100,000 times more powerful than the computers thay first got us to the moon, while being small enough to comfortably fit in my pocket

        • MudMan@kbin.social
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          1 year ago

          You type posts that long on mobile? I am genuinely an old now.

          Anyway, yeah, absolutely. We do live in the future. The point is that people extrapolate from whatever tech is in growth mode and inevitably go past where the real asymptote is. So yeah, if you were living in the 60s nuclear power and the space race seemed like amazing achievements, but it turns out the tech stopped shy of… you know, moonbases and the X-Men. If you were in the 80s automation and computers seemed like magic, but sentience didn’t emerge from sheer computation and… well, actually short of the cyborg part pretty much every other part of Robocop happened, so we’ll call that a tie.

          So now we get affordable machine learning leading to working language and synthetic image models and assume that’s gonna grow forever until we get the holodeck and artificial general intelligence. And we may, but we could also hit the ceiling pretty close to where we are now.

          • Kedly@lemm.ee
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            1 year ago

            Thats fair, and yeah I spend a lot of time on transit these days, so I have the time to write up long posts on mobile xD As another aside, VR Tech and Mocap tech mean that we do actually have modern reality adjusted versions of the Holodeck right now! Check out Sandbox VR, they have locations in multiple different countries and its super cool! I’m sure there are other companies that have done similar, Sandbox is just the one I know of and have used!

      • kromem@lemmy.world
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        1 year ago

        The Jetson’s was supposed to take place 100 years from when it was being made in the 1960s.

        Which means the following technologies beat their predictions by decades:

        • Video calls
        • Robot vacuums
        • Tablet computing
        • Smart watches
        • Drones
        • Pill cams
        • Flat screen TVs

        Flying cars exist, they just aren’t economically viable or practical given the cost, necessity to have a flight license, and aviation regulations regarding takeoff and landing.

        And we’re still 40 years away from that show’s imagined future.

        Your thesis focuses too much on the things here and there that were wrong, which typically related to expensive hardware cycles being assumed to be faster because the focus was only on the underlying technology being possible and not thinking through if it was practical (doors that slide into the ceiling is a classic example - the cost of retrofitting for that vs keeping doorknobs means the latter will be around for a very very long time).

        What we are discussing is the rate of change for centrally run software which has already hit milestones ahead of expert expectations several times over in the past few years and set the world record for fastest growing new product usage beating the previous record holder by over a 4x speedup.

        You’re comparing apples to oranges.

        • MudMan@kbin.social
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          1 year ago

          Yes. Technology went faster than people expected in some areas and much slower in others, to the point where the outcome may not be possible at all.

          That IS my “thesis”. the idea that in the 1960s video calls and a sentient robot cleaning your house seemed equally cartoonishly futuristic is the entire point I’m making.

          And to be clear, that holds even when restricted simply to consumer software and hardware. We got a lot better than expected at networking and data transmission… and now we’re noticeably slowing down. We are actually behind in terms of AI, but we’re way better at miniaturization.

          Again, people extrapolate from their impression of current rates of progress endlessly, but it’s hard to predict when the curve will flatten out. That’s the thesis.

  • afraid_of_zombies@lemmy.world
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    1 year ago

    Please quote me what this character said in this public domain story

    Chatgpt: (Quotes wrong character)

    No, that is a different character

    Chatgpt: (invents hybrid character)

    Sends it a link to the public domain text

    Chatgpt: I can’t follow links

  • Kyrgizion@lemmy.world
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    1 year ago

    Haha they will. Corpos won’t care if their products and services are bad or worse through AI; they’re de facto monopolists and using AI drives down cost tremendously.

    What would they care this leads to a worse society as long as THEY benefit?

  • philluminati@lemmy.ml
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    1 year ago

    Hi,

    This bug can easily be fixed by adding a few more dense layers and adding one specific correct input/output to the training set.

    Thanks

    GPT devs.

  • NutWrench@lemmy.ml
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    1 year ago

    It’s always a race to the bottom to create the most content for the least amount of money and effort, isn’t it? The problem is, Ai generated content is crap.

    “Water can be hot or cold. You shouldn’t drink too much of it. Water can be stored in containers so it won’t spill. You can cook things in it.”

  • TrickDacy@lemmy.world
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    1 year ago

    Yeah op, it will. Just because ai is an idiot sometimes doesn’t mean it won’t vastly improve. Many jobs will be destroyed, denying it does everyone a disservice

    • mino@lemmy.ml
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      1 year ago

      You are saying destroyed, as if the job itself is a service. Work is cost not value. You automate work so you can use your energy in more valuable ways (best case scenario having a good time and caring for eachother).

      The fruits of automation being distributed unfairly is another story. Inequality is a political reality, not a technical one.

      However luckily this problem will be shortlived probably since we end up like bugs compared to AI real fast…

        • Trollception@lemmy.world
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          1 year ago

          Yea sure some companies may lower head count in certain areas. The internet era certainly had the same effect. The overall impact had a net positive on jobs however.

      • R0cket_M00se@lemmy.world
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        1 year ago

        It also got rid of a metric shit ton of them as well. Like all other economic automation it starts with manual labor being replaced by technical repair and deployment personnel. Then eventually that all becomes automated too.

        In the next 50 years you’ll see a whole IT field develop around AI, then slowly it’ll phase out low level IT workers and developers until the only people that are left are QA checking on the AI services to ensure functionality.