If the physical world consists only of efficient causality, how can we create computational intelligence (that is, thinking computers or hard AI) that exhibits final causality from physical processes?
At some point the various efforts similar to DeepMind are going to hit this wall. Getting over it is going to require that either we use biological material (neurons, glia, etc) to bridge the gap or reproduce their extra-dimensional quantum features in hardware.
The main error is that the article assumes that the observer must be a human. It was a bad idea to use the words "observation" / "observer" because they are misleading. I prefer "measurement".
In this case the "observer" is just a brick in one of the paths. There is a very nice chapter in the Feynman's book about the Stern–Gerlach experiment and how it is related to most quantum experiments and measurements.
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[ 6.0 ms ] story [ 14.3 ms ] threadAt some point the various efforts similar to DeepMind are going to hit this wall. Getting over it is going to require that either we use biological material (neurons, glia, etc) to bridge the gap or reproduce their extra-dimensional quantum features in hardware.
One easy example is the Stern–Gerlach experiment https://en.wikipedia.org/wiki/Stern–Gerlach_experiment
In this case the "observer" is just a brick in one of the paths. There is a very nice chapter in the Feynman's book about the Stern–Gerlach experiment and how it is related to most quantum experiments and measurements.