What Does Artificial Intelligence Teach Us About the Universe?

The universe is a neural network.

A neural network is a node of nodes. Where singular and plural share a circular relationship. Thus a universe is, also, a network of nodes, where singular, and, plural, share a circular relationship.

This teaches us a zero and a one are, also, and, always, X and Y. X and Y are joined and separated by pi. Pi is the constant relationship between any X and-or Y (zero and-or one) (circumference and diameter). A virtual persona.

Meaning a pair of two’s reduces and expands to one ‘two.’ This is the definition of a neural network, the universe. A graph (pi as a relationship of one and two.) Square one.

A graph identifies a pair of two’s. A graph shows where a pair is located, in relationship to, where the pair is not-located. Again, an other pair (of two’s). Negation and duplication. An abstract identity is responsible, and necessary, for, digital reality.

This means a graph always reduces (and expands) to a pair of two’s. Meaning, the pair of two’s (the number two) is stable (reliable, certain). Without the pair of two’s, no line, and without the line, no graph. Ambiguity is required for multiplicity (and vice versa).

The circular relationship defines the number two, and, also, any pair of, two’s. There is a mandatory circular relationship between an individual, and, a group, in any system. This is the basis for mathematics. Redundancy, and, multiplicity.

Therefore, the universe, a neural network, and intelligence, in general, reduce, and, expand to, and, are dependent on, the circular relationship of, a zero, and, a one (circumference and diameter) (relative location). Relative location is dependent on a circle. Universal, and relative, duplicity.

Conservation of the circle is the core dynamic in nature.

https://www.amazon.com/Virtual-Intelligence-Nature-Conservation-Circle/dp/1974498913/