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One month coding with GLM 5.3 Flash

228 points · 180 comments · ThibWeb

  1. epistasis · · focus · HN ↗
    One thing about these numbers that's absolutely shocking to me is how low the energy use is:

    > That model’s usage was well within our budget ($68, about 4kWh of energy use / 365 grams of carbon emissions).

    The energy cost is literally 1% of the total cost. For context, 4kWh of energy would drive you about 15 miles in an EV, about half of the average person's daily driving miles. It's boiling 10 gallons of water.

    With the talk of AI data centers' impact on the world, you'd think this would be 10x to 100x the amount of energy in order to get the effects they're using here.

    My takeaway: the AI data center buildout is an overbuild probably at least as large as the fiber buildout that left us with so much dark fiber. If not even bigger. The only thing that will save the economy is the inability of NVIDIA and chip fabs to produce enough chips to match the buildout planned.

    1. ericd · · focus · HN ↗
      It's running a normal central home heat pump/air conditioner for one hour, or eight hours of playing on a gaming PC. Yeah, the propaganda around datacenter resource usage has massively outrun the truth, which makes me think there are some very interested parties pushing behind the scenes.
      1. cyberrock · · focus · HN ↗
        I don't discount the possibility, but I think part of it is that no one was interested in knowing how many resources normal computing costs. Any one of us who's worked on a video platform or cloud storage providers already knew how the sausage was made, but as long as it provided unlimited videos and photo storage, the public didn't care.

        Though I do suspect that golf course owners in Arizona and alfalfa farmers in California must be ecstatic.

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