Agentic AI scientists face four structural challenges—McNamara fallacy in problem selection, missing tacit lab knowledge in LLMs, preference optimization reducing diversity, and single-turn benchmarks without physical feedback—that prevent autonomous discovery and require fundamental redesigns.
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Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery
Agentic AI scientists face four structural challenges—McNamara fallacy in problem selection, missing tacit lab knowledge in LLMs, preference optimization reducing diversity, and single-turn benchmarks without physical feedback—that prevent autonomous discovery and require fundamental redesigns.