• zombie_kong@lemmy.world
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    2 hours ago

    You know what pisses me off?

    My so-called creative peers generating AI slop images to go with the music that they are producing.

    I’m pretty sure they’d be up in arms if they found out that an AI produced tune got to the top 10 on Beatport.

    One of the more popular AI movements right now is DJs creating themselves as action figures.

    The hypocrisy is hilarious.

  • Darkmoon_UK@lemm.ee
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    2 hours ago

    I mean much of the hype is warranted I just wish every man and his dog would spare us their personal revelations about it on LinkedIn.

  • Naevermix@lemmy.world
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    3 hours ago

    The AI hype will pass but AI is here to stay. Current models already allow us to automate processes which were impossible to automate just a few years ago. Here are some examples:

    • Detecting anomalies in roentgen and CT-scans
    • Normalizing unstructured information
    • Information distribution in organizations
    • Learning platforms
    • Stock photos
    • Modelling
    • Animation

    Note, these are obvious applications.

  • obsidianfoxxy7870@lemmy.blahaj.zone
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    4 hours ago

    I very sadly don’t see it going anywhere because of how much money has been invested by big tech corporations such as Google, Amazon, and Microsoft.

    Reason they’re willing to put so much money into these corporations is because they’re being built on their cloud infrastructure, which the different AI companies pay for. So either way, they end up getting more money and becoming more influential, even if the AI hype eventually dies out.

  • Kennystillalive@feddit.orgOP
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    6 hours ago

    OP here to clarify: With AI Hype Train I meant the fact that so many people are slapping AI onto anything just to make it sound cool like at this point I wouldn’t be surprised if a bidet company slapped AI into one of their bidets…

    I’m not saying AI is gonna go anywhere or doesn’t have legitimate uses but currently there is money in AI and everybody wants to get AI into their things to be cool & capitalize on the hype:

    Same thing with NFT’s and blockchains. The technology behind it has it’s legitimate uses but not everyone is slapping it onto things like a few years ago just to make fast bank.

    • ragas@lemmy.ml
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      5 hours ago

      Did you see crypto going away anywhere? Because I sure as hell didn’t.

      • neon_nova@lemmy.dbzer0.com
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        5 hours ago

        I did. Crypto was never user friendly for the average person to use and the way the US gov requires you to report each transaction on your taxes makes it more trouble than it is worth.

        AI on the other hand is extremely user friendly and genuinely is of use to the people I know who use it.

    • ragas@lemmy.ml
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      5 hours ago

      The cloud was the dumbest hype because it changed nothing. Network services were now named cloud services, that was it.

      We also got:

      • cyber: the realisation that the internet exists but 20 years too late
      • big data: companies snorkeling your data for targeted advertising and government surveillance
      • blockchain: safe ways to pay your dealer and investment scams
      • VR: the weirdest sort of corporate meetings and some cool game experiments

      IOT seems kinda ok in that regard. Connect your microcontrollers to the internet to allow some extra coordination.

  • SirFasy@lemmy.world
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    8 hours ago

    AI, in some form, is here to stay, but the bubble of tech companies shoving it into everything will pop at some point. As for what that would look like, it would probably be like the dot-com bubble.

    • PattyMcB@lemmy.world
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      7 hours ago

      Yeah… tech companies need to chill out with “jumping on the bandwagon” and actually innovate

  • PeriodicallyPedantic@lemmy.ca
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    10 hours ago

    The difference is that tech bros are selling the promise of replacing expensive skilled labour, to business owners, who keep funding it because they’d rather pay one of their own than pay a living wage to a normal person.

    So the money keeps coming which let’s them keep working on it

  • Count Regal Inkwell@pawb.social
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    10 hours ago

    I do feel that, unlike Crypto, AI (or, to drop the buzzwords, LLMs and other machine-learning based language processors and parsers) will end up having a place in the world.

    As it is NOW, the AI hype train is definitely an investment bubble and it will definitely explode in a glorious fashion eventually. Taking a lot of people down with it.

    But unlike Crypto, AI does – It like does things, you know? Even if I personally feel like it’s mostly only good for a toy, all my attempts to use it for anything society would deem “valuable” were frustrated, but at least I can RP with it when my friends aren’t available. It is a thing that exists and can be used.

    Crypto was funny because it was literally useless. Just an incredibly wasteful techno-fetishistic speculative vehicle with precisely zero shame about being that.

    As for what’s next, I think Quantum Computing might be it. That is, assuming the Tech Industry even survives the bubble’s burst in its current form. Because everyone in the industry is putting all their eggs including theoretical eggs that haven’t even been laid, and in fact there’s not even a chicken in this AI hype train. And even with AI becoming part of people’s lives, as I predict it indeed will, when the bubble does burst it might end up hitting the reset button on who is truly in charge of things.

    • douglasg14b@lemmy.world
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      5 hours ago

      You make it sound as if they don’t already have a place in the world. Ml models have been employed to solve problems for the greater part of a decade or more now. Deeply integrated into damn near everything that you interact with.

      When you get an MRI or a CAT scan AI helps identify and call out peculiarities.

      The traffic lights and traffic management in your city is probably partially operated using “AI”.

      Wear and tear on parts of your car are predicted from data using ml models.

      Industry sensor data is interpreted and made actionable using ml models.

      Telecommunication Network fault prediction and detection.

      Energy load prediction.

      …etc

      But you’re probably talking about is recent hype around llms which are models that are fantastically good at understanding language. Which opens up a whole new field of possibilities when you can combine the ability to understand language with the predictability and reliability of “classic” ML models.

  • VampirePenguin@midwest.social
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    11 hours ago

    You’re assuming there will be a next time. When the AI bubble bursts, and it will, the whole economy will go down with it. AI companies are massively in debt and have a product that ranges from utter shit to kinda okay, and absolutely no sane way to monetize it. Everyone outside of tech, you know, the customers, fucking hate AI. It has stolen their work, jeopardized their livelihoods, wasted their resources and made the most insufferable asshats in history very wealthy.

    • Jankatarch@lemmy.world
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      8 hours ago

      Don’t most modern tech companies actively lose money and rely on investors to actually pay their workers? Then again AI uses a crapton of resources compared to decade optimized search querying.

  • rational_lib@lemmy.world
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    12 hours ago

    Reminds me of Blockchain

    According to new research from Deloitte, 74 percent of large companies (with sales over $500 million) see a “compelling business case” for blockchain technology.

    Indeed, from supply chain management and regulatory monitoring to recruiting and healthcare, organizations are applying blockchain to their business models to revolutionize how they track and verify transactions.

    It’s not a fake or fundamentally useless technology, but everyone who doesn’t understand it is rushing to figure out how they’re gonna claim to use it.

    • Rose@slrpnk.net
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      4 hours ago

      Yeah, when someone just describes blockchain, saying “I guess we could use it for supply chain tracking or healthcare tracking or whatever” is a reasonable first impression.

      The problems show up the second you start thinking about how to actually implement the damn thing. You don’t need a blockchain for logistics or healthcare tracking. It has no inherent advantage over regular databases. It doesn’t solve organisational issues. It’s just a slow trustless distributed append-only database. It’s good when you need a trustless distributed append-only database! Most people don’t need one.

      Same thing with AI technologies, just a bit different in that it’s somewhat more useful. They’re good and useful technologies and they have plenty of perfectly valid usecases. Then the tech bros started going “Maybe we could use AI for some weird wacky obscure niche and charge a lot of money for it?” or “we’re going this wacky crap whether you want it or not, we don’t care what it’s necessary for us to do to make it happen, and we’ll charge a lot of money for it”.

        • Rose@slrpnk.net
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          2 hours ago

          So: A company had a problem with invoices. They made an invoice management system. The problem was solved. Wow. Never saw that coming.

          Without the details, it’s hard to see how blockchain specifically was the magic ingredient. Not saying it wasn’t, just saying this was already a problem that was solved long before the blockchain.

          • Knock_Knock_Lemmy_In@lemmy.world
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            2 hours ago

            The invoice management system is owned by the whole supply chain. It is not a database run by walmart.

            The problem wasn’t solved before blockchain because centralized databases do not have the administrative flexibility to respond to a changing supply chain. A central administrator only sees one layer deep.

            • Rose@slrpnk.net
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              2 hours ago

              What if - hear me out - you build a centralised database, and then give appropriate access to all of the actors in in the system? Like most people have been doing forever?

              And isn’t updating one centralised system actually more flexible than trying to manage a distributed system? Changes can easily be rolled to production when you only have one system to worry about.