LLM proof abilities risk scientific output surge with weakened research communities
Original article in Korean수학과 과학은 황금기를 맞을까, 암흑기를 맞을까?
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Summary
As large language models advance in proof generation, growth in scientific output and erosion of independent human research capacity may occur simultaneously if human understanding and independent research capabilities don't advance in parallel. Machine-generated proofs verified in systems like Lean differ fundamentally from explanations humans can understand.