$WORLD
Trending UpSnapshot Window: 2026-09-09 13:50 UTC · ← Back to Crypto Overview
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Verbatim Community Citations & Social Evidence 2 source posts analyzed
A disputed decision on GenLayer goes to a random panel of AI judges. Corrupt a tenth of the pool they are drawn from and you need 1,537 of them to get the accuracy that 47 used to give you. That is the price of buying a tenth of a network.
AI visual note: The image is a line graph titled "What corrupting one evaluator in ten costs you," showing how panel accuracy drops when 10% of a pool of AI evaluators is corrupted. The blue line (honest pool, 65/35 lean) shows accuracy rising from ~77% with 5 judges to ~100% by 1,537 judges, while the red line (effectively 55/45 after corruption) starts at 63% with 11 judges and only converges to 99.996% at 1,537 judges—visually illustrating the post's claim that corrupting one-tenth of a network like GenLayer forces panels to scale from 47 to 1,537 AI judges to maintain the same 98% accuracy.
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