An AI developer found that simply increasing the number of AI verifiers did not improve the precision of AI-generated findings. Adding more identical verifiers, each prompted to refute a claim, failed to reduce false positives because they shared the same blind spots. True improvement came from diversifying the verification process by using different AI
RANK_REASON [lever_c_demoted from research: ic=1 ai=1.0]
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