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The Evolution of Human Intelligence: An Information-Theoretic Perspective on Cognitive Evolution (V3.4)
Original
SummaryThis paper proposes that human intelligence evolved by maximizing semantic energy efficiency (ηsem). Vision, speech, and writing are viewed as stages of externalized compression under the brain’s ~20W limit. Using FEP, we argue symbolic systems reduce free energy and enable scalable cognition and AI