Clark Kerr's 1963 "multiversity" model, which described the American research university as a sprawling institutional conglomerate serving diverse functions from research to credentialing, is now finished. The author argues this model's crisis has been building for sixty years due to privatization, tuition hyperinflation, and a shift towards vocationalism.
The arrival of large language models (LLMs) like Claude Opus and Google Gemini acts as a "catalytic solvent," exposing the multiversity's inherent incoherence. AI renders traditional pedagogic methods—such as term papers, lectures, and examinations—obsolete, challenging the value of credentials and dissolving the shared technological substrate that once unified the university's disparate missions. The article criticizes the Yale Committee on Trust in Higher Education for its superficial engagement with AI's transformative impact. While acknowledging the importance of co-curricular activities and human connection, the author contends this approach evades the core issue. Universities must undertake radical curricular reform, focusing on what AI *cannot* do, to remain relevant in a post-AI world.
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