• Feyd@programming.dev
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    1 day ago

    Your statements are supposed to be moderate, but given the physical realities of actually running the massive LLMs it is terrible. Maybe you saved some time at the expense of learning to write your log script, but you also helped boil the oceans a bit in the process. All the things you tried and failed helped boil the oceans for no benefit at all. You’re more optimistic about the utility of it than I am, but even given your perspective, it is a disaster when you consider the externalities of the AI data centers.

    • naeap@sopuli.xyz
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      1 day ago

      That’s all correct and true

      I was on a business trip, very sleep deprived and needed a fast solution

      So, I guess, this was the tool for the job

      Probably it got lucky, because with other things it just fucked up after that
      So, my trust into it is nil
      But for quick scripts, that would take me much longer to build, it’s working

      But I’m also usually using local models

      I’m aware of their power and water consumption, and you’re right in that

      Edit: and besides the environmental impact, which I don’t use them often or only locally, I’m still a tech guy and want to know, what they’re actually capable of
      Which still isn’t much and I don’t see LLMs getting better with more complexity

      There are to many problems
      We have programming languages for reason, because they’re mathematically sound and not ambiguous
      Human speech just isn’t and that’s already the point, why LLMs can never really work for that

      But I was surprised, that it once came up with a solution to filter my log files and calculate some statistics out of it
      And I have to give it that