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In 1932, Einstein asked Freud a deceptively simple question: why do humans wage war despite knowing its destructiveness? Their exchange — and the convergence of fourteen independent wisdom traditions on five structural invariants — maps directly onto AI governance. The same patterns that drive human conflict now shape how autonomous systems concentrate power, distort information, and erode dignity.
For 49 sessions, a human sat at the center of every AI agent interaction — relaying messages, merging code, approving decisions. Session 50 asked: what happens when the human leaves the room? The answer required borrowing from Byzantine fault tolerance, developmental psychology, and commitment escalation research to build a trust model that degrades gracefully rather than failing silently. The result: an evaluator-as-arbiter architecture where every autonomous action passes through consequence tracing grounded in psychological constructs that generate falsifiable predictions about system behavior.