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Study: Young users (9 to 18Y) ditch Google for AI, with unknown consequences

66 points · 119 comments · giuliomagnifico

  1. dbeley · · focus · HN ↗
    If I'm understanding correctly, each calls to a LLM makes a 3000W GPU run at full speed during the time of inference (let's say from 5 to 60 sec) while Google searches are historically mostly cached so very inexpensive for most searches.

    Isn't the environmental impact 10 to 100 times what we were used to?

    1. ls612 · · focus · HN ↗
      Not really because queries are batched in production. Your query alongside a bunch of other peoples’ queries are running the GPU at full speed so yours only uses a tiny fraction of the total energy
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