• Prox@lemmy.world
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    16 days ago

    Isn’t this true of like everything AI right now?

    We’re in the “grow a locked-in user base” part of their rollout. We’ll hit the “make money” part in a year or two, and then the enshittification machine will kick into high gear.

    • woelkchen@lemmy.world
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      16 days ago

      We’re in the “grow a locked-in user base” part of their rollout.

      An attempt at that. It will be partially successful but with AI accelerators coming to more and more consumer hardware, the hurdles of self-hosting get lower and lower.

      I have no clue how to set up an LLM server but installing https://github.com/Acly/krita-ai-tools is easily done with a few mouse clicks. The Krita plugin handles all the background tasks.

    • Ghostalmedia@lemmy.world
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      16 days ago

      Yeah, it’s basically like early days of cable, Uber, Instacart, streaming, etc. They have a lot of capital and are running at a loss to capture the market. Once companies have secured a customer base, they start jacking up the prices.

        • Ghostalmedia@lemmy.world
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          15 days ago

          There is a lot of top down shit, but there is definitely bunch non c-suite enterprise customers out there. A lot of product managers are curious about this shit.

        • zerozaku@lemmy.world
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          15 days ago

          There are billions of free users available. All they need to do is strip-off few excellent features of their free model and hide it behind a pay wall annnnd voila these free users have now became their paying customers!

    • jaykrown@lemmy.world
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      16 days ago

      I doubt it, LLMs have already become significantly more efficient and powerful in just the last couple months.

      In a year or two we will be able to run something like Gemini 2.5 Pro on a gaming PC which right now requires a server farm.

  • mojofrododojo@lemmy.world
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    16 days ago

    when this bubble pops it’s gonna be horrific.

    google, meta, ms, so many more leveraged out huge investments in datacenters. nvidia is propping up whole segments of the fucking economy.

    https://www.wheresyoured.at/ai-is-a-money-trap/

    it’d be fun to watch if I could isolate myself from the chaos that will ensue, but we’re all gonna get fucked by the aibros, it’s only a question of which segment of the economy blows up first.

    • skisnow@lemmy.ca
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      15 days ago

      A lot of startups whose entire business model relies on OpenAI’s small model API calls costing under $1/Mtok, are going to go bust when OpenAI finally runs out of money and ramps the cost up tenfold.

        • pfizer_dose@lemmy.world
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          15 days ago

          Yep it’s blitzscaling. Run it at a loss until it’s a necessity, then charge whatever the hell you want. They’re blitzscaling our right to intellectual property and our right to work.

      • Tollana1234567@lemmy.today
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        15 days ago

        ive seen a ton of billboards of startup AI comp in west coast, i assume every new one that appears on these billboards, the old ones go under.

      • Mika@sopuli.xyz
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        15 days ago

        It would be just cheaper to self-host something for the whole company then? Open-source AIs are there and they are very much competitive with proprietary solutions.

        • skisnow@lemmy.ca
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          15 days ago

          If you want OpenAI level response times you might be surprised how expensive self-hosting gets.

    • vector42@programming.dev
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      15 days ago

      Came here to see if someone had mentioned Ed Zitron’s blog. His last two pieces on the AI bubble are fantastic reads.

    • BetaBlake@lemmy.world
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      15 days ago

      Hopefully sooner rather than later, and maybe Elon can stop poisoning a neighborhood in Memphis with Grok

      • mojofrododojo@lemmy.world
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        15 days ago

        yeah that’s one of the more egregious examples, basically a methane factory that eats prodigious amounts of water and power, all in process of giving us MECHAHITLER.

        what’s not to love?

      • mojofrododojo@lemmy.world
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        15 days ago

        yeah secondary knockon effects - once nvidia realizes it’s not going to actually sell 5 gpus per human being, the datacenters for them evaporate, then the power production to feed those datacenters becomes pointless…

        an effective administration would mandate all renewable energy for this purpose, so when it implodes they could at least derive a benefit from the expanded production… but no, trump will have them build coal plants for it all. or like grok, methane powered generators fml

          • mojofrododojo@lemmy.world
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            15 days ago

            bringing old reactors online may end up an overall positive (say, if the ai bubble pops soon but the reactors still come online and displace fossil sources) but I’m dubious about smr’s still. it just seems like more chances for radionucleotides to get smeared everywhere if they become ubiquitous.

    • HugeNerd@lemmy.ca
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      15 days ago

      Me too. I can then go back to 3D printing quantum blockchains out of room temperature superconductors in my private space station with Katy Perry.

    • haungack@lemmy.dbzer0.com
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      14 days ago

      And what happens when a bubble bursts? Did the internet die when the dotcom bubble burst, or is that just when it really started to get going?

      I share most of your sentiments against AI, but a bubble popping won’t make it go away, and it won’t even rectify it to be more to people’s likings (i doubt it). It takes more than just waiting around to accomplish that.

    • Zexks@lemmy.world
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      14 days ago

      Im so tired of this stupud fucking refrain. Cause we all know how housing got so mich better after 08 and how we dont have any more dot coms and how the internet got so much better since that bubble. You people have no idea what your even asking for.

      • pulsey@feddit.org
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        14 days ago

        the bubble pops and then everything comes back, in an “improved” version. Imagine: ChatGPT with ads and sponsored answers.

        Just like that one black mirror episode.

      • BarneyPiccolo@lemmy.today
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        14 days ago

        The problem is that when a bubble pops and exposes the problem, the government leaders should take the opportunity to fix the problem so it doesn’t happen again.

        Instead they bail them all out, so there are not only no consequences to their actions, they are literally rewarded with unimaginable wealth. What about this strategy would induce them to change their ways, over doing it all over again, and getting rewarded again?

  • elgordino@fedia.io
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    16 days ago

    This is the thing I don’t understand about businesses like Cursor. They take two other companies products (Claude and VS Code) and smash them together and sell the result at a loss. How is that much of a business when basically what you’ve got is something that could have been a VsCode plugin.

    • fullsquare@awful.systems
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      16 days ago

      if valley had fresh ideas for profitable business, they wouldn’t go full into ai in the first place. lol

      big brained sfba ceos try to make reality in the image of scifi that they misinterpreted when they watched it 15 years ago, and go around building torment nexii. behold, disruption! (snow crash|ready player one|who knows what else)

    • Balder@lemmy.world
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      16 days ago

      Yeah, this has been reported on multiple analysis over time. Until something in the hardware space changes, it’s gonna be an unprofitable business.

        • bridgeenjoyer@sh.itjust.works
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          16 days ago

          I have an idea guys what about like a big cloud we can put all our data in ?? Guys CLOUD. ITS SO GENIUS. CLOUD.

          This ai shit is the exact same thing (also it isn’t ai. And I hate that we keep calling it that. )

          • takeda@lemmy.dbzer0.com
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            16 days ago

            It is a chat bot. It is a good compared to the chart bots we had in the past, but still a chat bot.

            The reason it can be used for programming is because programming language is still a language.

            They only seen to forget that programming languages were already invented to be a bridge between human and a machine language, but being able to do software engineering is much more than just knowing programming languages.

            This makes me wonder, anyone knows how good are those tools at creating assembly code? I don’t program in assembly, but I know that the “language” is very simple, but you actually need to be constantly aware of the state of the system.

            • HakFoo@lemmy.sdf.org
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              15 days ago

              I’d suspect the low “density” of context makes it prone to hallucinations. You need to load in 3000 lines to express what Python does in 3, so there’s a lot of chances to guess the next token wtong.

              • Balder@lemmy.world
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                14 days ago

                I was gonna say that, probably the higher the abstraction level the best it is for LLMs to reason about the code, because once learned it’s less tokens.

      • WanderingThoughts@europe.pub
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        16 days ago

        It’s been the same way with every AI tech at far. They run down the hype cycle and you get the classic AI winter while academics tinker until they find the next upgrade. Just now they’re plowing billions into this because “this time it’s different”. Or they just needed something to keep the tech bubble gravy train rolling.

  • OctopusNemeses@lemmy.world
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    15 days ago

    Isn’t this just the tech industry. Run at a loss. Eat VC money. Wait. Wait.

    Some how you become normalized and suddenly important Next thing you know you’re raking profit.

    Like the guy that has no friends who nobody really likes. He won’t go away. He just sticks around. Nobody ever told him to fuck off. So he’s just part of the group.

      • rozodru@lemmy.world
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        15 days ago

        and then you go on linkedin and all the middle manager tech bros will hail it as the second coming.

    • hark@lemmy.world
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      14 days ago

      Yep, and they were helped a lot after the 2008 financial crisis when interest rates were dropped super low and loans were cheap. That’s a major reason why the market has been screaming for the fed to cut the interest rate as much as possible.

  • buddascrayon@lemmy.world
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    15 days ago

    Yes, this is part of the business model. The goal is to get everyone addicted to their service, then jack the price up to profitable margins. It’s the same model Netflix and Amazon used. Bothe services lost money for over 10 years before becoming profitable.

  • BlameTheAntifa@lemmy.world
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    16 days ago

    When this bubble eventually bursts, and it will, the economic fallout is going to be catastrophic.

  • tal@lemmy.today
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    15 days ago

    I’m skeptical of AI coding as it exists today, and while I’m bullish on long-term prospects for AI writing software, am very dubious that simply using LLMs is going to be the answer.

    However.

    Startups typically do lose money. They’ll burn money as they acquire a userbase — their growth phase — and transition to profitability later. I don’t think “startups in area X tend to be losing money” is terribly surprising.

    • rozodru@lemmy.world
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      15 days ago

      you’re VERY justified in feeling skeptical, I’m seeing it first hand, you’re correct.

      I’m a consultant/freelancer and I’m booked for the rest of the year and well into the new year with jobs that pretty much consist of me reviewing and cleaning up AI slop.

      Most of my clients are startups and small companies that went full in on AI and vibe coding. Now they’re discovering that their attempts to save a few bucks by leveraging AI, cutting devs, etc is costing them more that what they envisioned on saving. The stuff they’ve built with AI doesn’t scale, is full of exploits, and breaks quickly. With the recent Tea App thing many of my clients are now in a panic because they essentially did the exact same thing. They don’t want their startup to be next in the news because some rando came across their house with the front door left open by AI.

      the tech debt is massive, It’s costing many of these places more to fix their vibe coders/AI mistakes than what it would have originally cost if they just used a solid dev team. Make no mistake, I’m charging them a good amount also.

      All if it could have been avoided though. They could have continued to use their LLM’s if they had all just kept a leash on it. if they dismissed the concept of vibe coding. A good chunk of it could have been avoided if the person feeding the prompts simply REVIEWED the code before hitting enter. I’m not kidding, IF they just LOOKED at what was being spat out things would be different. none of them did. they just trusted the AI to be smarter because they were lead to believe it was.

        • rozodru@lemmy.world
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          15 days ago

          I’ve been doing it for like 20+ years now so I have a very solid client base and very solid referrals. All my new clients now are referred to me by previous/existing clients so it gives me the luxury of booking well in advance.

    • Dogiedog64@lemmy.world
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      15 days ago

      Ok, but it isn’t just startups burning money here like there’s no tomorrow - it’s also major industry leaders (Microsoft, Facebook, Apple, Google, Nvidia, etc.) dumping hundreds of billions into infrastructure and development of a tech that has, so far, shown 0 positive returns for anyone and everyone. Everyone involved is pouring in money like it’s going out of style, largely because they see this as a potential pathway to infinite profits down the line, just as long as THEY are the ones to get there first; consequences be damned. WHEN this bubble pops, not IF, it’ll be messy. Extremely messy.

  • TheObviousSolution@lemmy.ca
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    15 days ago

    In other words, they want to hook up users and companies, make them dependent, and then rise up the prices severely while finding ways to process and incorporate all of the data they’ve gathered in ways that will probably involve automating the jobs of the users themselves.

  • Chaotic Entropy@feddit.uk
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    15 days ago

    Basically, the only reason some of these vaguely functional AI tools actually work okay is because they haven’t been ruined with inevitable monetisation yet.

    • tempest@lemmy.ca
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      13 days ago

      Already the cost is quite high. A prolific dev can easily burn 100usd a day in tokens and they have not even started to enshitify.

      Some of the cost to run these models will come down a bit if Nvidia gets some actual competition which I’m sure will happen in the medium to long term because the hyper scalers definitely don’t like paying Nvidia’s AI ransom and the Chinese don’t want to be beholden to a company the US can influence.

      We will see which happens first.