Learning from Professor Mokyr's "Useful Knowledge" Cycle and the Mission of AI Development for the 2025 Nobel Prize in Economics

This article highlights the importance of understanding the interplay between propositional knowledge (scientific principles) and prescriptive knowledge (technical recipes) in driving sustainable growth, as exemplified by Professor Joel Mokyr's work. It suggests that AI engineers should consider this dynamic when developing new technologies. The article likely delves into specific perspectives that engineers should adopt, emphasizing the need for a holistic approach that combines theoretical understanding with practical application. The focus on "useful knowledge" implies a call for AI development that is not just innovative but also addresses real-world problems and contributes to societal progress. The article's relevance lies in its potential to guide AI development towards more impactful and sustainable outcomes.