The massive computer clusters powering artificial intelligence consume vast quantities to answer the world’s queries, but how is Big Tech redressing the balance?

Writing a 100-word email using ChatGPT (GPT-4, latest model) consumes 1 x 500ml bottle of water It uses 140Wh of energy, enough for 7 full charges of an iPhone Pro Max

  • zerozaku@lemmy.worldEnglish
    5·
    1 month ago

    I have read the comments here and all I understand from my small brain is that, because we are using bigger models which are online, for simple tasks, this huge unnecessary power consumption is happening.

    So, can the on-device NPUs we are getting on flagship mobile phones solve these problems, as we can do most of those simple tasks offline on-device?

    • WolfLink@sh.itjust.worksEnglish
      2·
      1 month ago

      I’ve run an LLM on my desktop GPU and gotten decent results, albeit not nearly as good as what ChatGPT will get you.

      Probably used less than 0.1Wh per response.

          • Monsieurmouche@lemmy.worldEnglish
            1·
            29 days ago

            Good point. But considering the frequent retraining, the environmental impacts can only be spread on a finite number of queries.

            • interdimensionalmeme@lemmy.mlEnglish
              1·
              28 days ago

              They have already reached diminishing returns on training. It will become much less frequent soon. Retraining on the same data if there isn’t a better method is useless. I think the ressources consumed per query should only include those actually used for inference. The rest can be dismissed as bad faith argumentation.