• poo
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    2461 month ago

    No bubble has deserved to pop as much as AI deserves to

    • @misk@sopuli.xyzOP
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      1891 month ago

      Blockchain and crypto were worse. „AI” has some actual use even if it’s way overblown.

      • @SkyezOpen@lemmy.world
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        1031 month ago

        Creating a specialized neural net to perform a specific function is cool. Slapping GPT into customer support because you like money is horse shit and I hope your company collapses. But yeah you’re right. Blockchain was a solution with basically no problems to fix. Neural nets are a tool that can do a ton of things, but everyone is content to use them as a hammer.

        • @astronaut_sloth@mander.xyz
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          391 month ago

          Yes! “AI” defined as only LLMs and the party trick applications is a bubble. AI in general has been around for decades and will only continue to grow.

        • @Graphy@lemmy.world
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          181 month ago

          Honestly kinda miss when the drugs I did were illegal. I used to buy weed from this online seller that was really into designer drugs. The amount of time I used to spend on Erowid just to figure out wtf I was about to take.

      • Flying Squid
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        561 month ago

        I’m glad you didn’t say NFTs because my Bored Ape will regain and triple its value any day now!

        • @protist@mander.xyz
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          111 month ago

          Bro the GME short squeeze is going to hit any day now. We’re going to be millionaires bro, you just wait

          • I Cast Fist
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            11 month ago

            Die almond hands, bro! We’re all gonna make it, bro!!! Trust the code, bro!!!

      • @confusedbytheBasics@lemm.ee
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        231 month ago

        Blockchain has many valuable uses. A distributed zero trust ledger is useful. Sadly the finance scammers and the digital beanie baby collectors attracted all the marketing money.

        • @Voroxpete@sh.itjust.works
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          501 month ago

          And yet, every single company that has ever tried to implement a distributed zero trust ledger into their products and processes has inevitably ditched the idea after releasing that it does not, in fact, provide any useful benefit.

          • @WhatAmLemmy@lemmy.world
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            1 month ago

            It is exceptionally useful for the auditing of damn near everything in digital space, as long as shared resources and 3rd parties have access to the blockchain … which is probably the major reason corporations and politicians don’t want anything to do with it.

            It’d be a lot harder to hide crimes, fraud, grey business dealings, bribery and illegal donations, sanction violations, secret police slush funds, etc, etc if every event in the entire financial system and supply chain was logged and cryptographically verifiable.

            EDIT: NOTE I’m not talking about everyones transactions being in a public ledger (bad). Only enhancing the current system between businesses and orgs so it’s exceptionally difficult for any of them to falsify data without the others knowing, as well as having near instant visibility and analytics of the entire market (great for regulators, academics, etc).

            A supply-chain wide blockchain could enable individuals to view every raw material that went into every product they consume, down to the location, date — even the exact time in many cases — each was mined, refined, harvested, transported, picked, traded, etc. in a way that no individual corp could hide or falsify dramatically. Each corp and individuals true (embodied energy consumption would be visible to every buyer; developed world politicians and corporations couldn’t simply blame China and other developing countries for their own consumption.

            • @Voroxpete@sh.itjust.works
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              1 month ago

              The reason major businesses haven’t bothered using distributed blockchains for auditing is because they fundamentally do not actually help in any way with auditing.

              At the end of the day, the blockchain is just a ledger. At some point a person has to enter the information into that ledger.

              Now, hear me out here, because this is going to be some totally out there craziness that is going to blow your mind… What happens if that person lies?

              Like, you’ve built your huge, complicated system to track every banana you buy from the farm to the grocery store… But what happens if the shipper just sends you a different crate of bananas with the wrong label on them? How does your system solve that? What happens if the company growing your bananas claims to use only ethical practices but in reality their workers are effectively slaves? How does a blockchain help fix that?

              The data in a system is only as good as your ability to verify it. Verifying the integrity of the data within systems was largely a solved problem long before distributed blockchains came along, and was rarely if ever the primary avenue for fraud. It’s the human components of these systems where fraud can most easily occur. And distributed blockchains do absolutely nothing to solve that.

              • @finitebanjo@lemmy.world
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                1 month ago

                Counterpoint, having a currency where every token is tied into its own transaction history might be unpopular with large businesses for other reasons. Like maybe they don’t want to be that transparent or accountable. The FBI have made public statements about how much easier it is to track criminals who used Crypto.

                Your opinion seems to contradict reality.

                • @Voroxpete@sh.itjust.works
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                  1 month ago

                  This is a very poorly considered argument. Even if we suppose that everything you’ve said is true, the existence of a second plausible explanation doesn’t invalidate the first. You’ve not actually offered any reason why any of what I said is wrong, you just said “X is possible, therefore Y cannot be true.”

                  Also, I want to note that this particular digression wasn’t about cryptocurrency at all. The point I was responding to was a claim that blockchains had uses other than as currencies. So you really might want to step back a bit and consider what you think is being discussed here, and what you’re actually trying to say.

        • @Thrashy@lemmy.world
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          131 month ago

          The idea has merit, in theory – but in practice, in the vast majority of cases, having a trusted regulator managing the system, who can proactively step in to block or unwind suspicious activity, turns out to be vastly preferable to the “code is law” status quo of most blockchain implementations. Not to mention most potential applications really need a mechanism for transactions to clear in seconds, rather than minutes to days, and it’d be preferable if they didn’t need to boil the oceans dry in the process of doing so.

          If I was really reaching, I could maybe imagine a valid use case for say, a hypothetical, federated open source game that needed to have a trusted way for every node to validate the creation and trading of loot and items, that could serve as a layer of protection against cheating nodes duping items, for instance. But that’s insanely niche, and for nearly every other use case a database held by a trusted entity is faster, simpler, safer, more efficient, and easier to manage.

          • @dragonlobster@programming.dev
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            11 month ago

            Your second point of trading loot and items got me thinking about my Steam CS:GO skins. Why should I trust a centralized entity like Steam who could at any moment decide to delete all my skins or remove my account for whatever reason with my skins, vs storing those skins in a wallet on a public blockchain for example to keep it’s value and always allow trading? Ofc there will always be a “centralized” smart contract but at least they can’t make changes to it if the smart contract code is audited ,

            • @Thrashy@lemmy.world
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              21 month ago

              In that case (as is the case with most games) the near-worst case scenario is that you are no worse off trusting Valve with the management of item data than you would be if it was in a public block chain. Why? Because those items are valueless outside the context of the commercial game they are used in. If Valve shuts down CS:GO tomorrow, owning your skins as a digital asset on a blockchain wouldn’t give you any more protection than the current status quo, because those skins are entirely dependent on the game itself to be used and viewed – it’d be akin to holding stock certificates for a company that’s already gone bankrupt and been liquidated: you have a token proving ownership of something that doesn’t exist anymore.

              Sure, there’s the edge case that if your Steam account got nukes from orbit by Gaben himself along with all its purchase and trading history you could still cash out on your skin collection, Conversely, having Valve – which, early VAC-ban wonkiness notwithstanding, has proven itself to be a generally-trustworthy operator of a digital games storefront for a couple decades now – hold the master database means that if your account got hacked and your stuff shifted off the account to others for profit, it’s much easier for Valve support to simply unwind those transactions and return your items to you. Infamously, in the case of blockchain ledgers, reversing a fraudulent transaction often requires forking the blockchain.

      • @_bcron_@lemmy.world
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        211 month ago

        I’m not even understanding what AI is at this point because there’s no delineation between moderately sophisticated algorithms and things that are orders of magnitude more complex.

        I mean, if something like multisampling came out today we’d all know how it’d be marketed

        • @SlopppyEngineer@lemmy.world
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          151 month ago

          AI is a ridiculous broad term these days. Everybody had been slapping the label on anything. It’s kinda like saying “transportation” and it means anything between babies crawling up to wrap drive and teleportation.

        • @slacktoid@lemmy.ml
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          61 month ago

          Technically speaking how I differentiate it is:

          • clever algorithm is a good heuristic
          • statistics on steroids is machine learning
          • using a transformer model is AI (for now)
        • @catloaf@lemm.ee
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          61 month ago

          The AI buzzword means machine learning. You give it a massive dataset and it identifies correlations.

          Regular hand-coded AI is mostly simple state machines.

    • @DarkCloud@lemmy.world
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      51 month ago

      Try Venice Ai, free to use, won’t try to censor your topics. Still just a chat bot though (although I think it does image generation too).

        • @DarkCloud@lemmy.world
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          The part where they were saying they don’t like the current AIs they know about. Showing disapproval of the trend.

            • @DarkCloud@lemmy.world
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              11 month ago

              No it’s a huge one, because it’s the most likely application of AI, AI site moderation will be the start of AI digital policing a field which risks growing larger and larger until it manifests as actual legal policing.

    • Andromxda 🇺🇦🇵🇸🇹🇼
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      21 month ago

      I think all the crypto scams, all the shitcoins, NFTs and other blockchain bullshit were much worse. At least AI companies usually don’t require you to give them large sums of money, they’re only after your data and absolutely fuck the environment by wasting absurd amounts of power, but they don’t try to take away your life savings

  • @bamfic@lemmy.world
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    1 month ago

    I am old enough to remember when the CEO of Nortel Networks got crucified by Wall Street for saying in a press conference that the telecom/internet/carrier boom was a bubble, and the fundamentals weren’t there (who is going to pay for long distance anymore when calls are free over the internet? where are the carriers-- Nortel’s customers-- going to get their income from?). And 4 years later Nortel ceased to exist. Cisco crashed too, though had enough TCP/IP router biz and enterprise sales to keep them alive even until today.

    This all reminds me of the late 1990s internet bubble rather than the more recent crypto bubble. We’ll all still be using ML models for all kinds of things more or less forever from now on, but it won’t be this idiotic hype cycle and overvaluation anymore after the crash.

    Shit, crypto isn’t going anywhere either, it’s a permanent fixture now, Wall Street bought into it and you can buy crypto ETFs from your stockbroker. We just don’t have to listen to hype about it anymore.

    • @wrekone@lemmyf.uk
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      171 month ago

      Well put.

      Soon, it won’t be this idiotic hype cycle, but it’ll be some other idiotic hype cycle. Short term investors love hype cycles.

    • @kautau@lemmy.world
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      111 month ago

      We just don’t have to listen to the hype about it anymore.

      True, it’s now in most circles just been mixed in as a commodity to trade on. Though I wish everyone would get that. There’s still plenty of idiots with .eth usernames who think there’s some new boon to be made. The only “apps” built on crypto networks were and are purely for trading crypto, I’ve never seen any real tangible benefit to society come out of it. It’s still used plenty for money laundering, but regulators are (slowly) catching up. And it’s still by far the easiest way to demonstrate what happens to unregulated markets.

      https://www.web3isgoinggreat.com/

    • @kameecoding@lemmy.world
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      31 month ago

      Crypto has been turned into gold by wallstreet, they bought up enough of it to jot be completely exposed, it’s supply is extremely limited and will run out. Putting your money into it is no different than putting it into gold, you might catch a good moment and buy in low and get some return, but most wont.

      • @fine_sandy_bottom@lemmy.federate.cc
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        171 month ago

        Putting your money into it is no different than putting it into gold

        Sorry kiddo, putting your money into crypto is very, very different to putting it into gold.

        • @nyan@lemmy.cafe
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          71 month ago

          Once the apocalypse comes, you can at least use a gold brick to brain the zombies, whereas your crypto will vanish along with the Internet and electrical grid.

  • Destide
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    611 month ago

    Always invest in the spades never the gold mine

    • @ByteOnBikes@slrpnk.net
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      1 month ago

      I went to a AI conference and you can just sense how bogus it all feels. Like “Our patent pending AI system references billions of crowd-sourced data points to identify what you are craving for breakfast! Never think about breakfast again!”

      And as a engineer speaking with other engineers, we all collectively shrug and just keep taking the money. I’ll AI your toaster for enough money IDGAF.

  • @bluewing@lemm.ee
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    521 month ago

    No shit.

    Like all new technologies, there is a time when bunches of companies jump on the band wagon to get in on the action. You can see it all throughout the history of the industrial revolution.

    They mostly know that there will come a great weeding out of those that can’t handle the technology or just fail from poor management. But they are betting they will be among the 1% that wins the race and remain to dominate the market.

    The rest will just bide their time until the next Big Thing comes along. And the process starts over again.

  • @Blackmist@feddit.uk
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    461 month ago

    Yeah, but thanks to the glory of corporateworld, all the people involved in making these decisions will be in a higher position at a different company by the time the consequences come knocking.

    You definitely will not regret spending billions of dollars on GPUs and electricity bills.

  • @GeneralInterest@lemmy.world
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    461 month ago

    Maybe it’s like the dotcom bubble: there is genuinely useful tech that has recently emerged, but too many companies are trying to jump on the bandwagon.

    LLMs do seem genuinely useful to me, but of course they have limitations.

    • @linearchaos@lemmy.world
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      161 month ago

      We need to stop viewing it as artificial intelligence. The parts that are worth money are just more advanced versions of machine learning.

      Being able to assimilate a few dozen textbooks and pass a bar exam is a neat parlor trick, but it is still just a parlor trick.

      Unfortunately probably the biggest thing to come out of it will be the marketing aspect. If they spend enough money to train small models on our wants and likes it will give them tremendous amounts of return.

      The key to using it in a financially successful manner is finding problems that fit the bill. Training costs are fairly high, quality content generation is also rather expensive. There are sticky problems around training it from non-free data. Whatever you’re going to use it for either needs to have a significant enough advantage to make the cost of training /data worth it.

      I still think we’re eventually going to see education rise. The existing tools for small content generation adobe’s use of it to fill in small areas is leaps and bounds better than the old content aware patches. We’ve been using it for ages for speech recognition and speech generation. From there it’s relatively good at helper roles. Minor application development, copy editing, maybe some VFX generation eventually. Things where you still need a talented individual to oversee it but it can help lessen the workload.

      There are lots of places where it’s being used where I think it’s a particularly poor fit. AI help desk chatbots, IVR scenarios, It says brain dead as the original phone trees and flow charts that we’ve been following for decades.

      • @SparrowRanjitScaur@lemmy.world
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        41 month ago

        Machine learning is AI. I think the term you’re looking for is general artificial intelligence, and no one is claiming LLMs fall under that label.

    • @datelmd5sum@lemmy.world
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      111 month ago

      We’re hitting logarithmic scaling with the model trainings. GPT-5 is going to cost 10x more than GPT-4 to train, but are people going to pay $200 / month for the gpt-5 subscription?

      • Madis
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        51 month ago

        But it would use less energy afterwards? At least that was claimed with the 4o model for example.

        • @fuck_u_spez_in_particular@lemmy.world
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          41 month ago

          4o is also not really much better than 4, they likely just optimized it among others by reducing the model size. IME the “intelligence” has somewhat degraded over time. Also bigger Model (which in tha past was the deciding factor for better intelligence) needs more energy, and GPT5 will likely be much bigger than 4 unless they somehow make a breakthrough with the training/optimization of the model…

          • @hglman@lemmy.ml
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            21 month ago

            4o is optimization of the model evaluation phase. The loss of intelligence is due to the addition of more and more safeguards and constraints by the use of adjunct models doing fine turning, or just rules that limit whole classes of responses.

      • @GeneralInterest@lemmy.world
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        21 month ago

        Businesses might pay big money for LLMs to do specific tasks. And if chip makers invest more in NPUs then maybe LLMs will become cheaper to train. But I am just speculating because I don’t have any special knowledge of this area whatsoever.

  • peopleproblems
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    371 month ago

    10 to 30? Yeah I think it might be a lot longer than that.

    Somehow everyone keeps glossing over the fact that you have to have enormous amounts of highly curated data to feed the trainer in order to develop a model.

    Curating data for general purposes is incredibly difficult. The big medical research universities have been working on it for at least a decade, and the tools they have developed, while cool, are only useful as tools too a doctor that has learned how to use them. They can speed diagnostics up, they can improve patient outcome. But they cannot replace anything in the medical setting.

    The AI we have is like fancy signal processing at best

    • RBG
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      201 month ago

      Not an expert so I might be wrong, but as far as I understand it, those specialised tools you describe are not even AI. It is all machine learning. Maybe to the end user it doesn’t matter, but people have this idea of an intelligent machine when its more like brute force information feeding into a model system.

      • @RecluseRamble@lemmy.dbzer0.com
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        221 month ago

        Don’t say AI when you mean AGI.

        By definition AI (artificial intelligence) is any algorithm by which a computer system automatically adapts to and learns from its input. That definition also covers conventional algorithms that aren’t even based on neural nets. Machine learning is a subset of that.

        AGI (artifical general intelligence) is the thing you see in movies, people project into their LLM responses and what’s driving this bubble. It is the final goal, and means a system being able to perform everything a human can on at least human level. Pretty much all the actual experts agree we’re a far shot from such a system.

        • @BallsandBayonets@lemmings.world
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          51 month ago

          It may be too late on this front, but don’t say AI when there isn’t any I to it.

          Of course it could be successfully argued that humans (or at least a large amount of them) are also missing the I, and are just spitting out the words that are expected of them based on the words that have been ingrained in them.

          • @celliern@lemmy.world
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            91 month ago

            This is not up to you or me : AI is an area of expertise / a scientific field with a precise definition. Large, but well defined.

          • @frezik@midwest.social
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            1 month ago

            AI as a field of computer science is mostly about pushing computers to do things they weren’t good at before. Recognizing colored blocks in an image was AI until someone figured out a good way to do it. Playing chess at grandmaster levels was AI until someone figured out how to do it.

            Along the way, it created a lot of really important tools. Things like optimizing compilers, virtual memory, and runtime environments. The way computers work today was built off of a lot of things out of the old MIT CSAIL labs. Saying “there’s no I to this AI” is an insult to their work.

            • @ContrarianTrail@lemm.ee
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              11 month ago

              Recognizing colored blocks in an image was AI until someone figured out a good way to do it. Playing chess at grandmaster levels was AI until someone figured out how to do it.

              You make it sound like these systems stopped being AI the moment they actually succeeded at what they were designed to do. When you play chess against a computer it’s AI you’re playing against.

              • @frezik@midwest.social
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                1 month ago

                That’s exactly what I’m getting at. AI is about pushing the boundary. Once the boundary is crossed, it’s not AI anymore.

                Those chess engines don’t play like human players. If you were to look at how they determine things, you might conclude they’re not intelligent at all by the same metrics that you’re dismissing ChatGPT. But at this point, they are almost impossible for humans to beat.

                • @ContrarianTrail@lemm.ee
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                  11 month ago

                  I’m not the person you originally replied to. At no point have I dismissed ChatGPT.

                  I disagree with your logic about the definition of AI. Intelligence is the ability to acquire, understand, and use knowledge. A chess-playing AI can see the board, understand the ramifications of each move, and respond to how the pieces are moved. That makes it intelligent - narrowly so, but intelligent nonetheless. And since it’s artificial too, it fits the definition of AI.

          • @ContrarianTrail@lemm.ee
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            21 month ago

            Intelligence: The ability to acquire, understand, and use knowledge.

            A self-driving car is able to observe its surroundings, identify objects and change its behaviour accordingly. Thus a self-driving car is intelligent. What’s driving such car? AI.

            You’re free to disagree with how other people define words but then don’t take part in their discussions expecting everyone to agree with your definiton.

    • @ContrarianTrail@lemm.ee
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      31 month ago

      LLM’s are not the only type of AI out there. ChatGPT appeared seemingly out of nowhere. Whose to say the next AI system wont do that as well?

      • Vritrahan
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        111 month ago

        Anything can happen. We can discover time travel tomorrow. The economy cannot run on wishful thinking.

        • @lennivelkant@discuss.tchncs.de
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          21 month ago

          It can! For a while. Isn’t that the nature of speculation and speculative bubbles? Sure, they may pop some day, because we don’t know for sure what’s a bubble and what is a promising market disruption. But a bunch of people make a bunch of money until then, and that’s all that matters.

          • Vritrahan
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            61 month ago

            The uncertainty of it is exactly why it shouldn’t suck up as much capital and resources as it is doing.

              • Vritrahan
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                51 month ago

                I agree, and the problem is finance capitalism itself. But then it becomes an ideological argument.

                • knightly the Sneptaur
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                  11 month ago

                  The argument could be made economically rather than ideologically.

                  Capitalism has a failure mode where too much capital gets concentrated into too few hands, depressing the flow of money moving through the economy.

                  But Capitalists start crying “Socialism!” as soon as you start talking about anti-trust.

      • peopleproblems
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        61 month ago

        ChatGPT did not appear out of nowhere.

        ChatGPT is an LLM that is a generative pre-trained model using a nueral network.

        Aka: it’s a chat bot that creates it’s responses based on an insane amount of text data. LLMs trace back to the 90s, and I learned about them in college in the late 2000s-2010s. Natural Language Processing was a big contributor, and Google introduced some powerful nueral network tech in 2014-2017.

        The reason they “appeared out of nowhere” to the common man is merely marketing.

          • peopleproblems
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            31 month ago

            You said ChatGPT appeared out of nowhere. ChatGPT is basically Eliza with an LLM.

              • peopleproblems
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                51 month ago

                LLM’s are not the only type of AI out there. ChatGPT appeared seemingly out of nowhere. Whose to say the next AI system wont do that as well?

                I’m not sure what I’m misquoting. A large language model is not AI, a large language model is a non-human readable function used by a generative AI algorithm.

                Simply put, ChatGPT did not appear out of nowhere.

                • @ContrarianTrail@lemm.ee
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                  11 month ago

                  ChatGPT did not appear out of nowhere

                  I agree.

                  The key word there is seemingly. The technology itself had existed for a long time, but it wasn’t until the massive leap OpenAI made with it that it actually became popular. Before ChatGPT, 99% of people had never heard of LLMs, and now everyone has. That’s what I mean when I say it appeared seemingly out of nowhere - it took the masses by surprise. There’s no reason to assume another company working on a different approach to AI won’t make a similar massive breakthrough, giving us AI far more powerful than LLMs and taking everyone by surprise, despite the base technology having existed for a long time.

                  A large language model is not AI

                  It is AI though - a subset of generative AI to be specific, but it still falls under the AI category.

    • @FatCrab@lemmy.one
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      11 month ago

      AI in health and medtech has been around and in the field for ages. However, two persistent challenges make roll out slow-- and they’re not going anywhere because of the stakes at hand.

      The first is just straight regulatory. Regulators don’t have a very good or very consistent working framework to apply to to these technologies, but that’s in part due to how vast the field is in terms of application. The second is somewhat related to the first but really is also very market driven, and that is the issue of explainability of outputs. Regulators generally want it of course, but also customers (i.e., doctors) don’t just want predictions/detections, but want and need to understand why a model “thinks” what it does. Doing that in a way that does not itself require significant training in the data and computer science underlying the particular model and architecture is often pretty damned hard.

      I think it’s an enormous oversimplification to say modern AI is just “fancy signal processing” unless all inference, including that done by humans, is also just signal processing. Modern AI applies rules it is given, explicitly or by virtue of complex pattern identification, to inputs to produce outputs according to those “given” rules. Now, what no current AI can really do is synthesize new rules uncoupled from the act of pattern matching. Effectively, a priori reasoning is still out of scope for the most part, but the reality is that that simply is not necessary for an enormous portion of the value proposition of “AI” to be realized.

      • peopleproblems
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        11 month ago

        The oversimplification was intended - you also caught my meaning of it being able to synthesize new rules.

    • NaibofTabr
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      351 month ago

      The tech bros are selling, but it’s the VCs that are fueling this whole thing. They’re grasping for the next big thing. Mostly they don’t care if any of it actually works, as long as they can pump share value and then sell before it collapses.

    • CALIGVLA
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      131 month ago

      Techbros are the modern day equivalent to snake oil salesmen.

    • sunzu2
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      71 month ago

      They they have been trying to repeat big tech rise…

      But each generation is more limp dick

      Uber/airbnb > crypto > ai

  • @weew@lemmy.ca
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    1 month ago

    Yeah, but the 0.1% remaining will take over the world.

    Does anyone remember the era when there were a million search engines? Google didn’t spawn alone.

    Same with Amazon. You think nobody else tried to make an online store in the 90s? Lol.

    People are trying to vindicate their dislike of AI, pointing to trends like this as if it were supporting evidence. But saying “AI is going to be a big flop because 99% of companies today will end up failing” is as stupid as saying “online shopping will never work because 99% of online stores will close by the year 2010”

    • @dan@upvote.au
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      1 month ago

      Same with Amazon. You think nobody else tried to make an online store in the 90s? Lol.

      Fun fact: the first online store still exists. It’s Pizza Hut. They launched an experiment for online ordering in 1994. The first company to ever sell a product on the web.

      • @wavebeam@lemmy.world
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        61 month ago

        Yum brands has always been at the forefront of using tech to sell fast food. This was true then and is true now. Taco Bell has pioneered kiosks and in-app ordering as well as KDS in QSR environments.

    • @Eyck_of_denesle@lemmy.zip
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      71 month ago

      I doubt anyone is downplaying that. People are just discussing how all companies are pushing A.I into products that don’t need it. Idk about you but I’m tired seeing A.I advertised as a feature on every app/site when it’s just a gpt wrapper.

      • @LavenderDay3544@lemmy.world
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        51 month ago

        The rot has even spread into hardware. No one wants die space wasted on a stupid NPU with with less than 1/1000 of the computing power their GPU has and can’t be used for anything other than local LLMs which FTI very few people use and those that do tend to have powerful Nvidia GPUs.

        • @Bytemeister@lemmy.world
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          1 month ago

          I’m having flashbacks to Windows 8 being heavily developed to be “touch optimized” at a time where 3% of computers had touchscreen capabilities.

    • @pup_atlas@pawb.social
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      31 month ago

      Sure, but the difference here was that all those companies were offering something different. Some had better results than others, a better ui, more accuracy in certain niches, etc. But 99% of AI companies now are all effectively reselling the OpenAI API. They aren’t making an effort to differentiate themselves at all. It’s as if Google was the only shop in town, and everyone bought all their search data an algorithms to slap their logo on. That’s just simply not sustainable at anywhere near the scale it is now. This won’t be a 3-5 year decline, it’ll be a 2 month crash.

    • @Furbag@lemmy.world
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      31 month ago

      .com websites didn’t disappear after the dotcom bubble burst either. AI is definitely in a massive bubble right now, but something being in a bubble doesn’t mean it’s going to vanish completely. The AI companies with some substance backing them will weather the upcoming storm.

      Full disclosure: I don’t hate AI, but I hate that management-types are fellating themselves to the idea of it or the things than it can potentially do, rather than something that is providing them some kind of concrete benefit right now. I’m also mad at consumers for being stupid little sheep and paying a premium for anything that companies just happen to slap an “AI-powered” sticker on. It’s like organic produce 2.0 - you have to have it, but we can’t explain why, nor can we elaborate on what it does better than it’s contemporary.

  • FlashMobOfOne
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    191 month ago

    If you’re invested in these stocks, make sure you have your stop loss orders in place, 100%.

    I imagine the bubble bursting will be quick and deadly.

  • @fluxion@lemmy.world
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    181 month ago

    AI companies specializing in spreading bullshit all across the internet have a bright future however

  • The Menemen!
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    171 month ago

    It will probably burst, but that does not man that AI will go away completly.

    • Liz
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      61 month ago

      Same thing happened to the Dot Com bubble. The fundamental technology has valid uses, but we’re in the stage where some people are convinced it can be used for literally anything.

    • ugjka
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      21 month ago

      It will burst because no one is going to pay subscription fee for every AI gizmo every app puts in your phone. The way they make any money now is just funneling more and more vc money in exchange of AGI promise (coming soon)

  • @MooseTheDog@lemmy.world
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    161 month ago

    People look at the advertising for this shit (and future tech-bro shit) and wonder, “who is this for”? Remember E.L.O.N. Exaggerated Lies Overlooked Narratives

    Think of every manager and boss you’ve ever had. They don’t think, they just do. Salesmen convince them using issues that don’t exist, to sell solutions that don’t really work, to people that don’t understand how to use them. Repeat over 70 years and you have the modern American education system.

    Now things are different. Money is scarce, things are getting tight. Tech-Bros have changed from a mildly infuriating strategy, to a downright abusive one. These simple minded managers think everything is under attack, and the only solution is what they already have, but heavily monetized and completely unusable.

  • @TehWorld@lemmy.world
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    161 month ago

    So, I have clients that are actively using AI on a daily basis and LOVE it. It is however a very narrow subset. Also, I’m pretty sure that a LARGE amount of Dollars are currently being spent on AI generated political articles.

    • NιƙƙιDιɱҽʂ
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      141 month ago

      The web didn’t die after the dot com bubble burst. The AI bubble will burst, but a smaller niche of companies will continue to exist.

      • @dan@upvote.au
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        1 month ago

        The dot com crash was because tech companies were massively overvalued and didn’t have a proper business plan or profit. I definitely see some similarities with the AI bubble, especially with the large unprofitable companies like OpenAI. OpenAI isn’t estimated to become profitable until 2029, and there’s a lot of unknowns between now and then (e.g. maybe they’ll be forced to license content they use for training).