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AI search agents fail at multi-step research not from poor searching but from not asking clarifying questions on ambiguous queries. DiscoBench shows models that search repeatedly instead of asking follow-ups perform worse at 51.9 percent than those that guess. Removing ambiguity boosts accuracy by up to 40 points.
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