The machines are fine. I'm worried about us.

The academic evaluation system measures quantifiable outputs like publications and citations, creating a fundamental misalignment between institutional metrics and the actual purpose of doctoral training—developing independent scientific thinking and problem-solving ability. A student who uses AI agents to complete research tasks produces identical publishable results to a student who laboriously learns the underlying concepts, but emerges without the deep understanding necessary for independent work in or outside academia, yet current evaluation frameworks cannot distinguish between them.

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