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Alright, I wrote an article: https://killerstorm.github.io/2024/12/15/meaning.html https://killerstorm.github.io/2024/12/15/meaning.html Please let me know whi

• benchmarkist 2y ago
  It's a good essay but you didn't address my point.
  • killerstorm 2y ago
    Not sure what you mean... A NN training process can extract semantics from observations. That semantics can be then subsequently applied e.g. to robots. So it doesn't depend on humans beyond production of observations.
    • benchmarkist 2y ago
      The function/mathematics in an NN (neural network) is meaningless unless there is an outside observer to attribute meaning to it. There is no such thing as a meaningful mathematical expression without a conscious observer to give it meaning. Fundamentally there is no objective difference between one instance of a NN with one parameter, f(θ), evaluated on some input, f(θ)(x), and another instance of the same network with a small perturbation of the parameter, f(θ+ε), evaluated on the same input, f(θ+ε)(x), unless a conscious observer perceives the output and attributes meaning to the differences because the arithmetic operations performed by the network are the same in both networks in terms of their objective complexity and energy utilization.