The case for why our Universe may be a giant neural network

Neuroscientist and author Bobby Azarian explores the idea that the Universe is a self-organizing system that evolves and learns.

A new scientific paradigm is emerging that presents us with a radically different cosmic narrative. The big idea is that the Universe is not just an arbitrary physical system, but something more like an evolving computational or biological system — with properties strikingly similar to a complex adaptive system, like an organism or a brain. If this characterization turns out to be accurate, I do not think it is an overstatement to say that it is the most profound paradigm shift in the history of science and philosophy. If true, it raises new existential questions that will force us to completely rethink the nature of reality and ideas about whether the Universe has a function or “purpose.”

The idea that the Universe is something like an organism or a brain isn’t a new one. This concept goes back at least to 500 B.C. when it was first dreamed up by Anaxagoras. The pre-Socratic Greek philosopher proposed that an intelligent cosmic force, or “Nous,” guides the development of the Universe toward a more organized and purposeful state of existence. Today we might describe Nous as the principle of self-organization.

While the specifics of Anaxagoras’ theory of the Universe contain concepts that are not consistent with modern science, breakthroughs in our understanding of the nature of reality are breathing new life into the idea that the world as a whole may be very similar in structure and function to the biological organisms and information networks it has produced through the evolutionary process.

In recent years, a number of highly respected theoretical physicists and scientists from various fields have published papers, articles, and books that have provided compelling technical and mathematical arguments that suggest the Universe is not just a computational or information-processing system, but a self-organizing system that evolves and learns in ways that are strikingly similar to biological systems.
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Hat tip to @malakai for the link.