Unverified50% confidenceOpinionExact time
High scores on benchmarks do not necessarily equate to faithful execution of user requirements, and the practice of using benchmark scores as the sole quality signal carries fundamental risks.
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9/29/2026
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VerifiedThere is a gap between benchmark scores and real user experience, and some vendors engage in targeted optimization for specific benchmarks (score gaming) as well as training data contamination that inflates scores.79% similarUnverifiedIf a benchmark rewards "giving an answer" without penalizing "wrong answers," guessing is statistically a worthwhile strategy.74% similarUnverified主流反爬服务商普遍采用风险评分机制而非简单二元判断，分数超过阈值才触发拦截73% similarUnverifiedThe practical value of such evaluation optimization tools is highly dependent on the quality of the evaluation dataset and the reasonableness of the business metric definitions; if the input data fails to represent real scenarios or the metric design is biased, misleading conclusions may result.73% similarUnverifiedThe greatest risk of self-improvement comes from the reward signal itself: if the reward is improperly defined, the agent will optimize evaluation metrics rather than the true objective (the reinforcement learning version of Goodhart's Law).71% similar
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