Analysis of The Goal of Artificial General Intelligence (AGI)

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Artificial General Intelligence (AGI) is a neuroscience brain approach concerning “deep learning” and the proposition of designing in the future “active inferencing” that is machine-based. From an AGI perspective this ambitious proposal is based on the premise that a “conscious” AGI in a future perceived world, can be designed to have the capacity to eventually create its own ‘source code’ very much in the fashion of humans as biological systems that are DNA-graphed innately and fundamentally with the algorithm of survival and reproduction. The problem with the AGI hypothesized proposition, as I see it, is that it is a purely computer-based system designed to model itself after nature and the laws of nature, but with the crucial absence of the biological component so essential to all natural forms of life. Born of consciousness, we, as a living human species, and in concert with all living particles of the universe, are all comprised of the primary elements of nature: earth, air, fire, and water. We are therefore not superior to, outside of, or separate from nature, as is the case with the artifacts of artificial intelligence. In short, humans, as biological systems, are not machines. And machines, as artifacts and as by-products of human inventions, are secondary-manufactured simulations, not primary elements of nature; and therefore can never be categorized as humans, or even as being humanoid; and AGI must therefore remain forevermore as sophisticated simulated artificial constructions that exist alongside but outside of the natural laws of nature. more »