Every technological breakthrough produces two kinds of reactions. The first is excitement—often exaggerated. The second is fear—almost always misplaced. Artificial intelligence is no exception. As large language models and memory-augmented systems advance, a familiar claim resurfaces: that university teaching and research will soon be automated away, and that professors will become obsolete. This argument misunderstands both artificial intelligence and universities. More importantly, it misunderstands knowledge itself.
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The Perils of Secondhand Knowledge: Socialism, State Intervention, and Intellectual Responsibility
In every field of human endeavor—religion, economics, politics, and scholarship—there is a temptation to rely on secondhand knowledge. It feels safe, it feels convenient, but it is profoundly dangerous. Secondhand commentary not only distorts the truth; it also blinds us to reality and opens the door to errors with consequences that stretch across nations and generations. From theology to international policy, from economic reform to ideological conflict, the lesson is clear: nothing can replace firsthand study, serious engagement, and intellectual humility.
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William Wang 