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Exhaustive human review paradoxically degrades safety at scale due to vigilance fatigue, forcing a critical shift from synchronous human-in-the-loop filtering to layered, asynchronous human-on-the-loop oversight in high-stakes domains.
Current LLM agents are woefully inadequate for real-world clinical tasks, achieving only 46% success on a new benchmark that demands long-horizon reasoning and verifiable execution within electronic health records.
