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[–] 141 points 1 month ago (3 children)

They’re working on it. They just need a little more of your internal documents and source code.

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    [–] 122 points 1 month ago (7 children)

    Because it is a scam. Just like the people selling, instead of using:

    • healing crystals
    • essential oils
    • blockchain
    • penis-enlargement pills
    • JIRA
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  • [–] 14 points 1 month ago (3 children)
  • [–] 8 points 1 month ago (1 child)
  • [–] 8 points 1 month ago

    I mean yes, I hate the manager who set up JIRA that way, but JIRA is marketed to and designed for managers to over-complicate it. It is not designed as a tool for engineers to track their work. It is designed for managers to mis-manage teams, because that sells at volume.

    I also have other reasons for hating JIRA:

    1. no ticket hierarchy
    2. no multiple owners
    3. slow. so very slow
    4. sometimes keyboard shortcuts work, sometimes they don't. There is no apparently pattern.
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  • [–] 63 points 1 month ago* (26 children)

    I'd wager it's simply not possible to be profitable using AI for most use-cases. You either burn way too many tokens on your queries or risk your business falling victim to an under-tokenized AI hallucination.

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    [–] 61 points 1 month ago (2 children)

    In a gold rush it is better, on average, to sell the shovels then to mine the gold.

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    [–] 38 points 1 month ago (7 children)

    When potatoes came over from the New World, a lot of Europeans grew them as decorative plants. New shit makes people do weird stuff.

    Not everybody is trying to make a business with so-called AI. The peddlers are just the loudest.

    The companies promise their models can do all this stuff for paying customers. If the models were truly that capable, the so-called AI companies ought to be doing everything with them and be raking in the dough like mad. Which they're not because they know the limitations of the models. It's what economists call the bullshit gap between marketing and reality. And by economists I mean me.

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    [–] 34 points 1 month ago* (1 child)

    If I recall correctly, shovel companies made a lot of money while only a few of their shovels actually struck gold.

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  • [–] 19 points 1 month ago

    Recent scholarship confirms that merchants made far more money than miners during the gold rush.
    The wealthiest man in California during the early years of the rush was Samuel Brannan, a tireless self-promoter, shopkeeper and newspaper publisher. Brannan opened the first supply stores in Sacramento, Coloma, and other spots in the goldfields. Just as the rush began, he purchased all the prospecting supplies available in San Francisco and resold them at a substantial profit.

    https://en.wikipedia.org/wiki/California_gold_rush

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  • [–] 34 points 1 month ago (3 children)

    Because nobody but nvidia profits from LLMs.

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    [–] 32 points 1 month ago* (2 children)

    They are going for the gold rush pick axe business model

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    [–] 31 points 1 month ago (2 children)
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    [–] 29 points 1 month ago (5 children)

    Better question is if you can really build an app as easily as writing a prompt, why would anyone pay you for your app?

    Somehow AI bros like to pretend that AI is some secret lifehack despite it being one of the most mainstream things in human history.

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    [–] 25 points 1 month ago

    Been shouting this from the rooftops since the beginning. If it was half as good as claimed, I would NOT have access to it.

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  • [–] 24 points 1 month ago (2 children)

    This is exactly the question i ask "investment advisor" services when they call asking if i want help managing investments.

    For you to have a system that works well enough for me to be interested , there'd be no need for you to spend money on call centers full of people ringing up strangers for money, you could take all of that money and invest it in the plan you are trying to sell me.

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    [–] 17 points 1 month ago (2 children)

    If you come to seminar at the Holiday Inn, I'll teach you why! Only $500, and at the end you'll be able to start your own AI powered business and make millions per year!

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  • [–] 15 points 1 month ago*

    I saw a thread a few minutes ago on a profitable AI business. The business model was hacking websites at scale to steal hundreds of thousands of credit card numbers...

    https://lemmy.world/post/52304304

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  • [–] 14 points 1 month ago* (17 children)

    They want AGI, not LLMs. They're pretty much betting everything on getting there first knowing that if they do it'll pay them back a millionfold what they invested up front. They're taking a massive risk for a potentially massive reward. They're coaching a college kid to become a professional athlete. It's not profitable yet but they're investing heavily in them in the hopes that one day it will be.

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    [–] 11 points 1 month ago (13 children)
    1. The AI tech they peddle is impressive and has some uses; but it is nowhere near ready to live up to the hype they created in which you can just pay $10K a year for a license and get rid of a $250K employee

    2. The AI tech they sell for $10K a year, actually costs $20K to run and they know nobody would pay the full cost, let alone the cost + their profit margin

    PS: those are made up numbers to answer the question, while not real numbers, they represent the points I am trying to make

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  • [–] 15 points 1 month ago

    That’s because the whole point of AI is to finally back us all into a corner where cloud computing is our only option and we can be monitored and controlled, our news and opinions filtered, dissenters found quickly, and our IP hoarded and summarized, our markets predicted and our products beaten before they launch.

    They dazzle the brain dead middle managers who all lament the lack of flying car futures with a piece of magic, and once enterprise (the big money) isn’t demanding powerful workstations anymore then average consumers can get fucked and we will be locked out of society if we organize.

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    [–] 9 points 1 month ago

    AI is becoming a pretty big problem where executives are challenging experts or subject matter experts on topics based on their Ai usage. The problem is because the answers sound really good, but often the prompts aren't quite right so then the experts need to do a bunch more work to explain and justify things that the executives just find rebuttals for through further ai prompting.

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  • [–] 9 points 4 weeks ago

    For the same reason that people were selling crypto mining boxes rather than just plugging them in:

    The only guaranteed profit in a gold rush is to be the one selling shovels.

    See Nvidia for details.

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  • [–] 9 points 1 month ago

    Cuz it doesn't work.

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  • [–] 8 points 1 month ago

    They're waiting for the to big to fail bailout like the banks in '08.

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  • [–] 8 points 1 month ago (7 children)

    Their business is the LLMs. It's like asking if a loaf of bread is expensive, then why don't millers bake bread using their own flour

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  • [–] 7 points 1 month ago

    If they were not profitable just selling the flour but saw the potential profitability of baking bread, I'm sure they would. It's just that they are profitable selling the flour so there's no need.

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    [–] 7 points 1 month ago (3 children)

    Why does it cost so much to engineer new models? I thought AI can replace software engineers now, shouldn't the development cost of new models decrease over time?

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  • [–] 7 points 1 month ago

    Joking aside - I think the whole "engineer time is expensive, computer time is cheap" approach stopped being true half a decade or so before LLMs were a thing. It was kind of self defeating - you'd think companies were trying to increase their usage of computing resources due to some misconception that it'd automatically decrease work humans have to do, saving them money in the long run.

    I don't have the numbers, but I wouldn't be surprised if software/hardware costs exceeded engineering costs for about a decade now, with all these inefficient-on-purpose frameworks and with everything being on the cloud and with using various services for the sake of using a service.

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    [–] 7 points 1 month ago

    You're on to something …

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  • [–] 7 points 1 month ago

    The real reason isn't that they can't turn a profit, it's that they don't have to.

    They don't have to be profitable because they aren't fueling growth with profits, they're fueling it with debt and investment. Like many have noted, they cannot do that forever and will eventually pass that cost to consumers. A significant portion of their existing cost is driven by research, which they can scale back by lobbying for legislation, so that peers getting a leg up is more difficult and small players catching up is almost impossible.

    Also, both Anthropic and OpenAI have planned IPOs, where they will inevitably raise a ton of cash. It's a game of chicken though. How long can they fuel growth without being publicly accountable to balance sheets and shareholders? Whether we like it or not, they will almost certainly transition to being profitable businesses, but only when it is advantageous for them to do so. Right now, it's not a priority; the priority is growth to the point of diminishing returns.

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