• tupalos@lemmy.world
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    1 month ago

    Ya AI was never going to be it. But I wouldn’t understate its impact even in its current stage. I think it’ll be a tool that will be incredibly useful for just about every industry

    • taladar@sh.itjust.works
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      1 month ago

      There aren’t many industries where results that are correct in the very common case everybody knows anyway, a bit wrong in the less common case and totally hallucinated in the actually original cases is useful. Especially if you can’t distinguish between those automatically.

  • Someplaceunknown@fedia.io
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    1 month ago

    “LLMs such as they are, will become a commodity; price wars will keep revenue low. Given the cost of chips, profits will be elusive,” Marcus predicts. “When everyone realizes this, the financial bubble may burst quickly.”

    Please let this happen

  • Greg Clarke@lemmy.ca
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    1 month ago

    largely based on the notion that LLMs will, with continued scaling, become artificial general intelligence

    Who said that LLMs were going to become AGI? LLMs as part of an AGI system makes sense but not LLMs alone becoming AGI. Only articles and blog posts from people who didn’t understand the technology were making those claims. Which helped feed the hype.

    I 100% agree that we’re going to see an AI market correction. It’s going to take a lot of hard human work to achieve the real value of LLMs. The hype is distracting from the real valuable and interesting work.

  • OsrsNeedsF2P@lemmy.ml
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    1 month ago

    I work with people who work in this field. Everyone knows this, but there’s also an increased effort in improvements all across the stack, not just the final LLM. I personally suspect the current generation of LLMs is at its peak, but with each breakthrough the technology will climb again.

    Put differently, I still suspect LLMs will be at least twice as good in 10 years.

  • jpablo68@infosec.pub
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    1 month ago

    I just want a portable self hosted LLM for specific tasks like programming or language learning.

    • plixel@programming.dev
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      1 month ago

      You can install Ollama in a docker container and use that to install models to run locally. Some are really small and still pretty effective, like Llama 3.2 is only 3B and some are as little as 1B. It can be accessed through the terminal or you can use something like OpenWeb UI to have a more “ChatGPT” like interface.

  • KeenFlame@feddit.nu
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    1 month ago

    I am so tired of the ai hype and hate. Please give me my gen art interest back please just make it obscure again to program art I beg of you

  • j4p@lemm.ee
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    1 month ago

    Sigh I hope LLMs get dropped from the AI bandwagon because I do think they have some really cool use cases and love just running my little local models. Cut government spending like a madman, write the next great American novel, or eliminate actual jobs are not those use cases.