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2 yr. ago

  • The person I replied to was only commenting on people how much it cost for people to "refine prompts" which isn't where the problems lie. People at home on consumer hardware can't be the ones causing issues at scale, which is what I pointed out. We weren't talking about training costs at all.

    Besides, the GPU clusters models are trained on are far outnumbered by non-training datacenters, which also use water for cooling. It seems weird to bring that up as an issue while not talking about the whole cloud computing industry. I've never seen any numbers on how much these GPU clusters spend versus conventional use, If you have any I'd like to see them.