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How GLM built its own inference infrastructure

411 points · 285 comments · whiteros_e

  1. tefkah · · focus · HN ↗

    [dead]

    1. binsquare · · focus · HN ↗
      Given the rate of improvement, why is this deranged?
      1. sixeyes · · focus · HN ↗
        because the rate of improvement is fairly stalled?
        1. pizza234 · · focus · HN ↗
          You're tragically misinformed; it isn't. Several metrics are actually growing exponentially. But if you want emprical information, you can just have al look at the nature of the late AI incidents.

          Ironically, many benchmarks being maxxed out, and quite quickly, so new ones have to be created.

          1. simonw_simonw_ · · focus · HN ↗

            [dead]

          2. georgefloydd · · focus · HN ↗

            [dead]

          3. imp0cat · · focus · HN ↗

                Several metrics are actually growing exponentially.
            Power consumption and water consuption are the obvious ones. What are the others?
          4. ttoinou · · focus · HN ↗
            The AI "incidents" are pure marketing ploys to get free word of mouth. Like what you're doing.
          5. glimshe · · focus · HN ↗
            If you knew what "exponentially" means, you probably wouldn't be saying that.
          6. heresiarch39 · · focus · HN ↗
            Which metrics?
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