• tristynalxander@mander.xyz
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    4 hours ago

    I’m really disappointed in this thread.

    There are a number of people who are recommending buying their cheapest plan under the premise that it will put them under since it is a loss leader. Despite the popular fantasy, the rich and powerful are not stupid. You don’t know more about a company or market from passively consuming headlines than the leadership of that company. So, I’ll state the obvious: If you don’t like a company or industry, the last thing you should do is give them your money.

    I’m sure a bunch of people with excel sheets to monitor their credit card points will show up in the replies to argue about how it’s theoretically possible, but I will reiterate: The leaders of the companies are not stupid. If they started seeing a net loss from their sales strategy, they’d change strategies.

    • Mr. Satan@lemmy.zip
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      1 hour ago

      While I agree with not buying being better that giving them money. I can’t agree with leadership being smart.

      This thing was never going to be profitable. So they either:
      a) they’re actively malicious — they were never planning on profiting which means this is basically a pump and dump scheme capable of triggering some form of recession;
      b) they’re fucking morons for believing their own fantasies, which judging by their public appearances would track.

      Former seems just as plausible, but my bet is on the latter. These AI bro CEOs seem to be woefully average at best.

    • XLE@piefed.social
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      1 hour ago

      I agree with you that nobody here should purchase a subscription with any of these companies, but I will watch happily from the sidelines while AI fanatics engage in this exact behavior, jumping from loss leader to loss leader.

    • Windex007@lemmy.world
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      3 hours ago

      Counterpoint:

      They already are losing money. They themselves do not project that they will be profitable until 2030. The idea that “smart people with spreadsheets won’t let them lose money” is obviously wrong because they have done nothing except lose money, ever.

      They get thier operating capital from funding, not sales.

      Now, I agree that the gambit is wrong. So you’re right. You’re just right for the wrong reason.

      Funding is just the cash value of market optimism for the future of your product. High usage props up optimism. Social media IPOs were valued very much based on active users, the idea being that more users meant more opportunity for profit.

      The more people actively using these tools, even if they’re just maliciously burning tokens, just add to the “active users” metric. Which makes funding easier. And funding is the ACTUAL way these companies “make thier money”.

      • tristynalxander@mander.xyz
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        2 hours ago

        Sure, they’re in the business of selling shares not AI-tokens. Standard bubble stuff. Doesn’t change the overall point.

    • FukOui@lemmy.zip
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      3 hours ago

      I think companies these days are more about valuation (how much people think they are worth) vs profit (what they actually earn). AI companies are loss leaders, yet vcs still fund them anyways. Paying them more money will just add to hype and valuation (eg “our XX service grew YY% which projects to ZZ potential profit”)

    • UnderpantsWeevil@lemmy.world
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      3 hours ago

      Despite the popular fantasy, the rich and powerful are not stupid.

      Uh… famously untrue. Mental illness has plagued monarchs, pharaohs, and caesers for millennia. That’s long before you get to all the quirked up white boys and trad rad girl bosses currently running things.

      You don’t know more about a company or market from passively consuming headlines than the leadership of that company.

      Okay, but you can review their balance sheets and their primary lines of credit. Case in point, Sam Altman is heavily reliant on three big financial partners - Softbank, Oracle, and NVIDIA. Two of these are - themselves - hemorrhaging money thanks to large capital outlays that have failed to produce substantive returns.

      There are finance journalists who get out ahead of this and report their own analysis. And you can find that in a thousand different private journals, substacks, and podcasts. But you can also go do the grunt work yourself if you’re ambitious.

      OpenAI’s financials have been disclosed already (although the official SEC filing is still upcoming). So… just read them if you doubt what you’re reading in the news. But it’s not some kind of secret that the business is operating at a loss, with a fixation on debt-fueled growth. The argument is over future projected revenue, which isn’t something business leadership can be any more certain of than a passive media consumer.

      I definitely get the knee-jerk impulse to announce “business professionals know more about business than internet idiots”. Because, sure. True. But the idea that business professionals don’t routinely make bad decisions has some pretty historic well-established counterpoints.

      “The business people know more” line is akin to saying “This used car dealer must know more about the vehicles on his lot than I do, so I can trust him”.

      • tristynalxander@mander.xyz
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        2 hours ago

        Sure, professionals make bad decisions. Usually they’re more complex than they seem on the surface, but there are exceptions. Sure, you can put the work in to out-knowledge them. Doubt anyone here is interested enough to do that, but the internet is a big place.

        Regardless, it should be fairly obvious that giving a company you hate money will not cause them to fail faster. We can quibble over the exact mechanism, but the overall point stands.

        • UnderpantsWeevil@lemmy.world
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          2 hours ago

          Regardless, it should be fairly obvious that giving a company you hate money will not cause them to fail faster.

          I’ll concede that trying to soak Altman for $14k/mo when he’s already hemorrhaging billions is a bit like pissing in the river.

          I might ask what you plan to do with the $14k in tokens you’re burning. If you’ve got a material use case for them, and Altman wants to sell you $20 for a nickel, go wild.

          But half the joke of AI is that you’re burning tokens to do nothing. That’s why businesses recoil as soon as they’re asked to justify at-cost AI spend.

    • non_burglar@lemmy.world
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      3 hours ago

      Despite the popular fantasy, the rich and powerful are not stupid.

      Hubris is what the rich and powerful suffer from, not stupidity. And hubris makes the same blind decisions as stupidity.

  • muusemuuse@sh.itjust.works
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    5 hours ago

    Doesn’t matter. The regime got what they wanted out of this. The data centers are up, the tech is there, they will just snap it up cheap for use in surveillance and fabricating evidence of dissenters.

    • Chulk@lemmy.ml
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      2 hours ago

      The datacenters largely aren’t built yet, as someone else pointed out. That doesn’t even matter though, to your point.

      The Epstein class has successfully destroyed large portions of the Internet through bot traffic. They’ve scraped virtually all human contributions and stolen it, while ruining traditional vehicles for information gathering. They’ve eviscerated consumer hardware, and thus shifted control of compute away from the masses. They’ve successfully manufactured consent for mass surveillance including harvesting our biometric data.

      Once the AI bubble bursts, it will be one of the largest transfers of wealth in history as they force us to bail out this fradulent industry. If it doesn’t throw us into another great depression, the damage it will do will ensure that things never go back to how they were pre-AI. Once that reality becomes apparent to the masses, they’ll be primed and ready for Peter Theil’s vision of “Freedom Cities

    • wewbull@feddit.uk
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      4 hours ago

      The data centres are far from up. Many of them look to have a few steel beams in place and that’s it. Others are sitting empty due to lack of hardware or lack of power.

  • HugeNerd@lemmy.ca
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    4 hours ago

    Can’t be soon enough. The amount of AI sludge videos out there where I can’t even tell anymore.

      • HugeNerd@lemmy.ca
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        8 minutes ago

        There must be many others. The amount of videos depicting things I’ve NEVER seen before pawned off as real is disconcerting. A dog bouncing a 3 foot exercise ball on his nose in a backyard? Yeah, that really happened.

  • Corkyskog@sh.itjust.works
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    5 hours ago

    Q3 2027 is when the house of cards falls. I have been saying this since 2025 and I will continue to make this prediction based off of loan and investment terms.

    • BarneyPiccolo@lemmy.today
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      5 hours ago

      I’ve been making the comparison to the first synthesizer in 1897. It was so huge, that it took up the basement of an entire city block in NYC. It was enormous, and relatively useless but it worked…technically. But 60 years of development later, and it can be put in a suitcase and carried around.

      I see data centers and AI the same way. Sure, we can technically do it, but it’s big, unwieldy, and wasteful. It clearly isn’t ready for prime time.

      Go back to the drawing board, address the real problems, including regulations, and get back to us in a decade or two, when they’ve figured out how to do this properly. Because right now it’s a monstrosity that’s more of a curiosity than an useful product.

      • TrackinDaKraken@lemmy.world
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        4 hours ago

        “Figure out who to do this properly” means a completely different method. What they’ve built is way, way too expensive for too little return. What they want to do may not even be possible, too little is known about the human mind to assume it is. It’s all assumptions and hubris at this point, no proof. Not everything we imagine is possible.

      • Auli@lemmy.ca
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        4 hours ago

        Still going to take massive amounts of data to train an AI.

    • brucethemoose@lemmy.world
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      3 hours ago

      I agree with this.

      That lines up on the technical side, too, with how LLM “intelligence” is plateauing, cost of cheaper models is decreasing, where open weights are going and such. Q3 2027 seems about when an OpenAI coding subscription makes no sense.


      That being said, I’d be wary of the “Facebook effect.”

      Once a service gains a huge foothold, it can deteriorate for a long time without going away. Especially with regulatory capture. And for many smartphone users, OpenAI is the only AI they know.

  • rose56@lemmy.zip
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    4 hours ago

    No shit! Let that sink in, I’m waiting. If the world don’t want to learn from it’s mistakes, let it burn.

  • Treczoks@lemmy.world
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    8 hours ago

    It will be a race which AI company holds out longest. All of them are making losses that no company can survive, and if they rise their prices enough to cover the costs, they will basically lose all their customers. Who will then struggle to hire the people back who still know how to do things without AI.

    • Auli@lemmy.ca
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      4 hours ago

      Then Google wins? Since they have the ad business sonar least they are making some money.

    • sobchak@programming.dev
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      7 hours ago

      I think they could significantly lower their costs if they turn their focus away from the race to “AGI.” But, their valuations don’t really make sense unless investors believe they will achieve AGI.

        • expr@programming.dev
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          6 hours ago

          How is this a response to a comment about AGI?

          LLMs are not currently, nor ever will be, anything remotely resembling AGI. AGI is still entirely within the realm of science fiction, like teleportation or time travel.

          • Jestzer@lemmy.world
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            4 hours ago

            Hey, we have AGI! We’ve had it for years! It’s called making babies 😎😎😎😎😎

        • Olap@lemmy.world
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          6 hours ago

          Yet still hallucinates mass bullshit and can’t count, can’t architect, and can’t write a decent test

        • sobchak@programming.dev
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          5 hours ago

          The “best” one I’ve tried is the latest Opus. I don’t trust any of them to use for real work, so I mostly just play around with a local Qwen 3.6 27B or Deepseek v4 Flash. I have heard OpenAI’s latest models produce less bloat than Anthropic’s.

          I should say I do find LLMs useful as a kind of search agent (both web and large unfamiliar code bases). And GhidraMCP is pretty cool (maybe just because I don’t have much experience with reverse engineering).

  • anon_8675309@lemmy.world
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    7 hours ago

    That long? Sigh…

    He’ll probably tell Trump he’ll help win the election and get all sorts of tax payer handouts.

  • HrabiaVulpes@europe.pub
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    4 hours ago

    Ain’t it ironic that technology failed mostly because humans are still cheaper option for the same work?

  • Cordyceps @sopuli.xyz
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    4 hours ago

    Cool! I might just be on time to get out of my payment plans before the market crashes and interest goes up!