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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. mvcosta91 · · focus · HN ↗
      To be honest, the only way to make it more efficient is to use it more, creating an economic incentive to improve the system as a whole. The cognitive impact on future generations is far more important than that.
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