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x.com/c___f___b/stat… was like striking gold. By keeping parameter space dimensions unchanged we get ability to extract information about experiments that need to be conducted to achieve our goal faster (cheaper energy-wise). This is for the cases when #AI learns about the real world. If we can construct the extended phase space without experimenting then we, obviously, don't get any extra benefit.
Come-from-Beyond@c___f___b
After discovering that anti-attractors enormously reduce energy requirement for creation of #AI, #Aigarth has discovered another technique reducing amount of energy even further. It's keeping parameter space dimensions count constant. This means choosing number of neurons and synapses in the very beginning and never changing it. #Qubic
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