• floofloof@lemmy.ca
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    1 day ago

    If LLMs can’t be made more power efficient, then the technology isn’t ready yet for general use. There may have to be fundamental engineering breakthroughs before what these systems do can be more than a very expensive and inefficient worldwide proof of concept.

    Of course, the military and the surveillance industry will still want to keep it, even if no one else can afford it, and we’ll be the ones paying for it.

    • Dave.@aussie.zone
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      1 day ago

      There may have to be fundamental engineering breakthroughs before what these systems do can be more than a very expensive and inefficient worldwide proof of concept.

      Controversial thought after reading this sentence: It’s cryptocoins all over again.

    • it_depends_man@lemmy.world
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      1 day ago

      If LLMs can’t be made more power efficient, then the technology isn’t ready yet for general use.

      Hm, I don’t see the harm in powering local models with solar.

      • floofloof@lemmy.ca
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        20 hours ago

        Well that is an alternative. But I bet each query to a local 27b model takes less energy anyway than the same query to Claude Opus or Fable in some data centre. So it is also a case of improving energy efficiency by running smaller models.

    • username_1@discuss.tchncs.de
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      1 day ago

      But without widespread usage there won’t be any breakthroughs… Anti-LLM folk could redirect their attention to the core problem (energy source, wind and solar shouldn’t raise any concerns) but they prefer to attack the LLMs themselves. Early implementations of every technology were crazy energy ineffective at the moment when becoming practically useful.

      • burido@lemmy.world
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        1 day ago

        No one should be arguing if LLMs are useful or worth investing into, they are and it can be a really useful tool, but the rich (seemingly spinless) lizards have managed to skyrocket the price of RAM, pushed global warming to new extrimes and jacked up electricity prices. Oh and while making an AI bubble so big and fradgile, that when (not if) popped will send us back to the great depression! All in the percute of “the next big thing”.

        to;dr LLMs are a cool tech but in the percute of it have managed to fuck up a whole bunch