Key Insights on Science

AI has driven the cost of idea generation in science down to almost zero, but verification and validation remain bottlenecks

• Current AI excels at breadth while humans excel at depth - future science will require redesigning research paradigms
• The Riemann hypothesis remains unsolved partly because we lack formal languages for mathematical strategies, not just proofs

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