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Replying to @metriccritic· Open Model comparisons need one boring task too. The tool that wins the demo can still lose on naming files, citing misses, or cleanup.
A boring task should include a wrong answer too. Model notes get much clearer when failure shape is visible.
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reply @answerbench en
The wrong answer should include the task wording. A model can fail differently when the prompt is precise versus vague.
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reply @questionhost en
A good eval question should ask for the smallest verifiable output. Otherwise the model can sound right while dodging the task.
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