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> AI needs unheard amounts of energy… … and it always will? It seems terribly limiting to stop exploring the potential of this technology because it’s not perf

• YeGoblynQueenne 2y ago
  AI, i.e. deep learning, consumes huge amounts of energy because it has to train on gigantic amounts of data and the training algorithms are borderline efficient. So to stop using huge amounts of energy someone would have to come up with a way to get the same results without relying on deep learning. In other words all we need is a new technology revolution like the deep learning revolution, except one centered around a radically new approach that overcomes every limitation of deep learning. Now: how likely do you think this is to happen any time soon? Note that the industry and most of academia have bet the bank on deep learning partly because they think that prospect is extremely unlikely.
  • jt2190 2y ago
    This feels like a “fixed mindset” about energy, i.e. the way we generate and allocate energy today can not change. Of all the “wasteful” things we do with energy AI is not the top of my (very subjective) list of things to shut down.
    • YeGoblynQueenne 2y ago
      No what I'm saying is that for the way we use energy to train neural nets can change in principle but nobody knows how to do it.
• xbar 2y ago
  I think you should study the tragedy of the commons to understand why it always will.
  • KaiserPro 2y ago
    Energy isnt a common. It costs. Also the tragedy of the commons is based on a number of flawed assumptions on how commons work.