GPT-4 SUMMARIZES MY 14 RULES OF EVOLUTIONARY COMPUTATION Prompt: –“Please Summa

GPT-4 SUMMARIZES MY 14 RULES OF EVOLUTIONARY COMPUTATION
Prompt:
–“Please Summarize [pasted text]”–

The text provides a series of propositions that relate to the evolutionary computation of natural systems, human cognition, and human social organization. The author suggests that all causality and existence results from the universe’s attempt to decrease dissipation or increase organization, and that causality calculates potential for increasing organization. The text discusses the concepts of stable relations, continuous recursive disambiguation, and sex differences in the division of labor in evolutionary computation. The author argues that human organizational differences evolve from influence, coercion, and power and that human political organizations evolve from these three methods. The text states that the rate of evolutionary computation is determined by the order of founding institutions, and that organizing humans into evolutionary computation is difficult but produces the most commons, with the highest trust, highest risk tolerance, highest economic velocity, highest investment, and fastest innovation, adaptation, and evolution. The text concludes by discussing the success of European civilization, which the author suggests resulted from the maximization of evolutionary computation by maximizing the opportunity for self-determination, reciprocal insurance of sovereignty in demonstrated interests, and markets in all aspects of life.