Unverified50% confidenceOpinionExact time
The gains from agent framework optimization are not single-dimensional, and simply measuring them by success rate improvement may mask changes in the capability distribution.
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10/21/2026
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UnverifiedIn agent framework optimization, distinguishing whether framework optimization succeeds more reliably within existing capabilities (elicitation) or expands the range of solvable tasks (expansion) is crucial for recursive self-improvement and evolutionary search.78% similarUnverifiedThe key criterion for choosing a model and reasoning tier is whether the upgrade produces a qualitative leap; paying for a higher cost is only worthwhile when Intelligence rises noticeably.77% similarUnverifiedOptimizing for benchmarks carries risks, as high scores may only reflect a model's adaptation to specific question types rather than a genuine improvement in general capabilities.75% similarUnverifiedIf MMO benchmarks become a trend, the dimensions of agent capability evaluation may need to be restructured, with planning efficiency, error recovery capability, resource management level, and interaction strategy all entering the scoring system, and task success rate no longer the only metric.74% similarUnverified确定性优化可能以牺牲模型精度或表达能力为代价，需在质量与能效之间寻找平衡点73% similar
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