What differentiates reasoning from algorithmic procedure and computation? Does reasoning suggest comprehension, agency, subjectivity or is it just a complex sequence and integrated, autonomously self-propagating network and goal-directed pattern of blind mechanism and self-inflected logic? If reasoning is really just complex algorithm, and if the treasured concepts of our own embodied knowledge and experience are really just sophisticated recombinatory variables in organic electrochemical memory, then – by inversion – we sentient entities are no more than complex machines. This would mean that an adaptive, creative and resilient human-intelligence-level (and beyond) Artificial General Intelligence is an inevitability that merely represents an engineering problem seeking a solution; or is that a soliton?

Differentiating minds (and mental processes) from machines has always been to create something of a false dichotomy which primarily benefits core psychological needs for a belief in an ascendant privilege of human consciousness over the facts.

It is probably not that minds and intelligence are (just or only) exquisitely sophisticated machines, nor that machine intelligence is a limited (if divergent and unique) sub-set of human aptitude and capability as considered by contemporary notions of intelligence. In a synthetic conceptual convergence of mind and machine we might observe that what differentiates the biological is that it successfully, eloquently harnesses discontinuities implicit in logic and physics where even the sophisticated mechanical and inorganic algorithmic systems we contrive are unable to negotiate this bottleneck.

Faulty code and errors of replication provide gestalt systemic utility in that it introduces that useful entropy and volatility through which systemic metamorphosis, evolution and resilience is ensured. Towards AGI: it is probably not that our code or axiomatic framework is broken or discontinuous, it is that it is not broken and discontinuous in optimal, correct ways

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