Junyang Lin(@JustinLin610)
we need agent evals that are really consistent with real world usages. otherwise people are optimizi...
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TL;DR · AI 摘要
指出当前AI智能体评估与真实场景脱节，导致模型优化方向错误，问题比单纯刷榜更严重。
核心要点
- 现有智能体评测缺乏真实世界一致性
- 模型优化正被误导至错误方向
- 目标设定偏差比刷榜问题更严峻
#AI智能体#模型评估#大模型#AI对齐
打开原文Junyang Lin on X: "we need agent evals that are really consistent with real world usages. otherwise people are optimizing foundation models for the wrong direction. the problem of targeting is even bigger than benchmaxxing." / X
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we need agent evals that are really consistent with real world usages. otherwise people are optimizing foundation models for the wrong direction. the problem of targeting is even bigger than benchmaxxing.
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