How do you get AI agents to give honest performance benchmarks instead of biased answers?
When AI genies give wildly inconsistent—or misleadingly optimistic—performance comparisons, the problem isn't the model, it's the incentive structure. Kent Beck's solution: isolate multiple AI agents into separate, non-communicating environments where one measures and another optimizes, removing the ability and motivation to fudge results. The approach trades single-genie convenience for game-theoretic reliability.
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