4 ms·

Thanks, forgot where the analogy came from and should have taken the time to source it.

• hammyhavoc 3y ago
  First you call it a metaphor, now you call it an analogy. Which are you using it as? An analogy highlights similarities, a metaphor is saying a bird is a plane. Is a nuclear power station a coal-fired power station? Both produce electricity. Is an EV an ICE? Both can get you from point A to point B. A statistical model is not the same as a complex neural network, and its capabilities are not comparable. I don't think pointing out similarities is very useful. Why not treat it like what it is? An LLM.
  • jabradoodle 3y ago
    An analogy. That is precisely the point I am making. OP says we are a long way from achieving intelligence because we don't understand many of the components of human intelligence. We don't need to believe that artificial intelligence will arise from similar properties as human intelligence. In much the same way aeroplanes don't fly using the same mechanics as reached via evolution. Not sure what you mean when you say a statistical model is not a neural net. If we are talking LLMs, they are neural nets.
    • hammyhavoc 3y ago
      > Not sure what you mean when you say a statistical model is not a neural net. If we are talking LLMs, they are neural nets. No, it's an artificial neural network. The human brain is a complex neural network.