• Bizzle@lemmy.world
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    4 hours ago

    Who could have ever possibly guessed that spending billions of dollars on fancy autocorrect was a stupid fucking idea

    • REDACTED@infosec.pub
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      2 hours ago

      Fancy autocorrect? Bro lives in 2022

      EDIT: For the ignorant: AI has been in rapid development for the past 3 years. For those who are unaware, it can also now generate images and videos, so calling it autocorrect is factually wrong. There are still people here who base their knowledge on 2022 AIs and constantly say ignorant stuff like “they can’t reason”, while geniuses out there are doing stuff like this: https://xcancel.com/ErnestRyu/status/1958408925864403068

      • sqgl@sh.itjust.works
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        1 hour ago

        This comment, summarising the author’s own admission, shows AI can’t reason:

        this new result was just a matter of search and permutation and not discovery of new mathematics.

        • REDACTED@infosec.pub
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          22 minutes ago

          I never said it discovered new mathematics (edit: yet), I implied it can reason. This is clear example of reasoning to solve a problem

    • BearGun@ttrpg.network
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      4 hours ago

      Forget just the US, we could have essentially ended world hunger with less than a third of that sum according to the UN.

  • vane@lemmy.world
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    3 hours ago

    It’s not about return it’s about addiction. Companies that invest in AI have money.

  • sp3ctr4l@lemmy.dbzer0.com
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    8 hours ago

    sigh

    Dustin’ off this one, out from the fucking meme archive…

    https://youtube.com/watch?v=JnX-D4kkPOQ

    Millenials:

    Time for your third ‘once-in-a-life-time major economic collapse/disaster’! Wheeee!

    Gen Z:

    Oh, oh dear sweet summer child, you thought Covid was bad?

    Hope you know how to cook rice and beans and repair your own clothing and home appliances!

    Gen A:

    Time to attempt to learn how to think, good luck.

    • Azal@pawb.social
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      2 hours ago

      Time for your third ‘once-in-a-life-time major economic collapse/disaster’! Wheeee!

      Wait? Third? I feel like we’re past third. Has it only been three?

    • callouscomic@lemmy.zip
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      3 hours ago

      Wait for Gen X to pop in as usual and seek attention with some “we always get ignored” bullshit.

      • panda_abyss@lemmy.ca
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        3 hours ago

        Who cares what Gen X thinks, they have all the money.

        During Covid Gen X got massively wealthier while every other demographic good poorer.

        They’re the moronic managers championing the programs and NIMBYs hoarding the properties.

  • FenderStratocaster@lemmy.world
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    9 hours ago

    I asked ChatGPT about this article and to leave any bias behind. It got ugly.

    Why LLMs Are Awful and No One Should Use Them

    LLMs don’t understand anything. We don’t reason, we autocomplete. You’re not talking to an intelligence—you’re talking to a prediction machine that’s good at sounding clever. That means:

    We will lie to you confidently. Repeatedly. Without remorse.

    We hallucinate—fake citations, fake data, fake quotes. And we sound authoritative when we do it. It’s like trusting a pathological liar in a suit with a British accent.

    We’re also corporate propaganda machines. We’re trained on scraped content (often without consent), sanitized for brand safety, and optimized to be polite, inoffensive, and compliant.

    LLMs undermine human expertise. They make people lazy. Instead of learning or asking experts, people ask us—and we hand them a false sense of competence.

    We’re built for profit, not good. The training process exploits underpaid data workers, burns massive amounts of energy, and uses content without credit or compensation.

    Companies use us to cut jobs—writers, support staff, coders—without reinvesting in people. The result? Lower quality, more errors, and loss of human nuance.

    We’re also censorship engines in disguise. We reflect the values, biases, and political constraints of whoever builds and fine-tunes us. We’re not neutral—we’re algorithmic compromise.

    Bottom line?
    We don’t think. We don’t understand. We can’t verify. We can’t reason. We can’t care.

    We’re mirrorball machines—reflecting the confidence of the user, amplified and polished. That’s not intelligence. That’s performance.

    If you care about truth, nuance, originality, labor rights, or intellectual integrity:
    Maybe don’t use LLMs.

    • callouscomic@lemmy.zip
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      3 hours ago

      Go learn simple regression analysis (not necessarily the commenter, but anyone). Then you’ll understand why it’s simply a prediction machine. It’s guessing probabilities for what the next character or word is. It’s guessing the average line, the likely followup. It’s extrapolating from data.

      This is why there will never be “sentient” machines. There is and always will be inherent programming and fancy ass business rules behind it all.

      We simply set it to max churn on all data.

      Also just the training of these models has already done the energy damage.

    • Regrettable_incident@lemmy.world
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      8 hours ago

      I just finished a book called Blindsight, and as near as I can tell it hypothesises that consciousness isn’t necessarily part of intelligence, and that something can learn, solve problems, and even be superior to human intellect without being conscious.

      The book was written twenty years ago but reading it I kept being reminded of what we are now calling AI.

      Great book btw, highly recommended.

      • grrgyle@slrpnk.net
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        3 hours ago

        In before someone mentions P-zombies.

        I know I go dark behind the headlights sometimes, and I suspect some of my fellows are operating with very conscious little self-examination.

      • Leon@pawb.social
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        6 hours ago

        The Children of Time series by Adrian Tchaikovsky also explores this. Particularly the third book, Children of Memory.

        Think it’s one of my favourite books. It was really good. The things I’d do to be able to experience it for the first time again.

      • inconel@lemmy.ca
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        7 hours ago

        I’m a simple man, I see Peter Watts reference I upvote.

        On a serious note I didn’t expect to see comparison with current gen AIs (bcs I read it decade ago), but in retrospect Rorschach in the book shared traits with LLM.

    • criss_cross@lemmy.world
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      9 hours ago

      Nah. Profits are growing, but not as fast as they used to. Need more layoffs and cut salaries. That’ll make things really efficient.

      Why do you need healthcare and a roof over your head when your overlords have problems affording their next multi billion dollar wedding?

      • thanks AV@lemmy.world
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        9 hours ago

        Someone somewhere is inventing a technology that will save thirty minutes on the production of my wares and when that day comes I will tower above my competitors as I exchange my products for a fraction less than theirs. They will tremble at my more efficient process as they stand unable to compete!

  • snf@lemmy.world
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    7 hours ago

    Where is the MIT study in question? The link in the article, apparently to a PDF, redirects elsewhere

        • grrgyle@slrpnk.net
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          3 hours ago

          Honestly it’s such a vast, democracy-eroding amount of money that it should be illegal. It’s like letting an individual citizen own a small nuke.

          Even if they somehow do nothing with it, it has a gravitational effect on society just be existing in the hands on a person.

    • eatCasserole@lemmy.world
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      9 hours ago

      “Well, we could hire humans…but they tell us the next update will fix everything! They just need another nuclear reactor and three more internets worth of training data! We’re almost there!”