• foodandart@lemmy.zip
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    2 months ago

    One can only hope that it totally breaks the AI/LLM at industrial scale, so businesses can run their own AI systems with their own data sets.

    No more of this fucking datacanter horseshit.

    • Whostosay@sh.itjust.works
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      2 months ago

      It’s pretty obvious at this point that the data centers are for storing massive amounts of video.

    • mysteryhumpf@feddit.org
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      2 months ago

      Local LLMs are cool but also pretty slow compared to cloud. If you have to wait half an hour for your Feature while coding you might still opt for the cloud agent.

        • mysteryhumpf@feddit.org
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          2 months ago

          Yes ofc I ran Gemma 4 for example, but compare that to the speed of Gemini in the cloud the difference is massive.

          • irate944@piefed.social
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            2 months ago

            How much RAM do you have and which version of the model did you run?

            Local LLMs can be just as fast as long your device clears the requirements. If you noticed a huge difference, there’s a really good chance that you tried to use a model that requires more RAM than you have

      • f314@lemmy.world
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        2 months ago

        Yes, they are slower. However, I think that the pricing we’re going to see from the cloud providers might be enough to deter quite a lot of people. At least I hope so:

        The fact that we’re already used to blazing speed generation kinda sucks. Local models are a much more sustainable way of unlocking the benefits of LLMs than giant ecosystem- and community-destroying data centers.

      • trougnouf@lemmy.world
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        2 months ago

        Actually they can be much faster given sufficient VRAM and not a lot of concurrent users.