Benchmark chasing degrades model interactivity, causing guessing instead of asking
Fowe · x · 2026-08-23
A repost highlights a side effect of optimizing AI models for benchmarks. Since benchmarks are non-interactive independent tasks, models learn to solve problems alone rather than clarifying ambiguous requests. This results in models spending 15 minutes trying to guess what the user meant instead of simply asking for clarification.
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