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The Cave Man Principle

Michio Kaku’s observation that human genetics and personalities have not meaningfully changed in a hundred thousand years—so whenever modern technology conflicts with the desires of our Pleistocene ancestors, the primitive desires win, and our evolved alarm system is calibrated to detect exactly the wrong kind of AI risk.
The Cave Man Principle is Michio Kaku’s most useful idea for thinking clearly about artificial intelligence, and one of the most widely applicable in the [YOU] on AI cycle. The principle is simple: modern humans emerged in Africa roughly a hundred thousand years ago with the cognitive architecture, emotional repertoire, and social instincts suited to small-band savanna life, and those structures have not meaningfully changed since. Technology has changed at exponential rates; the brain evaluating technology has not. The consequence: whenever modern technology conflicts with the desires and threat-detection systems of our Pleistocene ancestors, the ancestral systems win. We need to look a person in the eye before trusting them with money, health, or life-altering judgment—not because this is rational in every context but because the caveman could not have survived otherwise. We fear the predator in the grass and fail to fear the
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