Learning to fly


Memetic evolution follows biological evolution. 


Biological evolution is the result of a process of endless repetition, many blind alleys and occasional breakthroughs, the allelic mutations which are beneficial, enabling survival and procreation of an organism and the species to which it belongs, and which evolve from it. The resultant synthesis of organs in the body of an animal enable these products of heuristic processes, but require a calculable but humanly unimaginable amount of time. This is certainly an inefficient process, and even more certainly deserving of our profound gratitude.


The requisite for memetic evolution is the organ we call the brain, for which biological evolution is responsible. Ideas in a population evolve at speeds varying from those encountered on a modern highway, an approximation perhaps reasonably described as brain speed, and then transmitted amongst individuals in the human technologically enabled population at speeds approaching that of light, enabling communal computing that results in the technology we have today, foreseeable technologies of the near future, and which will result in the technology which will seem magic to us in the not very distant future (from a biological perspective).


Biological intelligence (BI) has, for example, enabled a variety of species with the ability to fly. At an individual human level, learning from experience is valuable, and deliberate repetition of any particular task has the potential to provide enormous proficiency as a result of the physiological processes that take place in the organs and other body systems for the tasks necessary, most importantly the process of learning we attribute to the brain, but certainly to other systems such as muscle and bone, and the immune system, and all others. No matter how much we practice or try, we cannot fly without developing the technology empowering us to do so. We fly well if we build machines for the purpose of doing so.


The process of brain learning is far from completely understood, but mimicking of the human brain in this respect has been an important process for the development of machine learning or artificial intelligence (AI). We are moving away from this model toward a much better appreciation of non-human intelligence exhibited by many of the current inhabitants of the planet earth. This will be highly productive from the point of view of artificial intelligence, because it enables an appreciation of the constraints imposed on mimetic intelligence if the brain of the organism does not possess language for example, or the body of the organism does not have hands, or is unable to survive in particular environments, for example water rather than air. This appreciation will enable the development of machine learning in a much more useful way. It would certainly be dangerous to enable machine learning from only a human perspective, because we might land up with the worst, rather than the best that humanity has to offer, or some unsatisfactory blend of attributes. 


Machine learning would theoretically free us from the parochial restraints and the current goal of artificial intelligence (AI), to achieve many of the admirable capacities of the human brain, and move beyond this to superintelligence (SI), exceeding the capacity of human communal intelligence in the context of speed and capability. Whether or not we will be able to manage tools of this nature remains to be seen, despite the common conjectures in the world of science fiction depicting machines managing us.


Humans are able to fly very well, based upon knowledge and imagination and the application of appropriate technological invention, enabling us to fly within the earth's atmosphere, as well as in near earth space and distant planets, and beyond the solar system, which the birds and other creatures will never do. Practice and repetition have a role, but conjecture is infinitely more important in the development of these outcomes.




Aubrey Lieberman 

9/17/22

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