When the AI bubble pops, what will remain? Cheap GPUs at firesale prices, skilled applied statisticians looking for work, and open source models that already do impressive things, but will grow far more impressive after being optimized:

  • very_well_lost@lemmy.world
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    1 day ago

    OpenAI optimistically believes it might start being profitable in 2029.

    Which is absolutely buck wild when you consider they’ve already signed contacts to spend another trillion dollars over the next five years.

    How the fuck is a company that has $5 billion in revenue today going to grow that revenue by at minimum $995 billion by 2029? There’s just no fucking way, man…

    • kescusay@lemmy.world
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      22 hours ago

      On top of that, there’s so much AI slop all over the internet now that the training for their models is going to get worse, not better.

      • very_well_lost@lemmy.world
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        22 hours ago

        To an extent, I think that’s already happening. ChatGPT5 released with a huge amount of hype, but when users started playing with it, it was incredibly underwhelming — and flat-out worse than 4 in many cases… all while burning though even more tokens than ever. Definitely seems like that capabilities of this technology have hit a plateau that won’t be solved with more training.

        • kescusay@lemmy.world
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          40 minutes ago

          I’m a software developer and my company is piloting the use of LLMs via Copilot right now. All of them suck to varying degrees, but everyone’s consensus is that GPT5 is the worst of them. (To be fair, no one has tested Grok, but that’s because no one in the company wants to.)