My problem with this theory based on universal neural net is that it doesn’t seem to be possible based on any neural net system I’m familiar with. A neural net “learns” by adjusting its firing weights to minimize some internal cost function which must be trained a priori against known outcomes.
Since the Universe is “everything” there is no possible “training” data that could be learned that would produce the truly random amplitude measurements seen in quantum mechanical experiments for example. The Schrodinger wave equation is a much more concise and parsimonious way to model this phenomenon.
I agree the Universe evolved from the Big Bang but this is better explained by the concept of symmetry breaking as spacetime expanded and energy diluted rather than some learning algorithm based on invisible “neuron” networks.
Thank you Professor Coury!