A review of 'Why Machines Will Never Rule the World', presenting its arguments against AGI based on complexity and computability, while critically examining its conclusions and relevance. Longer summary

This review examines 'Why Machines Will Never Rule the World' by Jobst Landgrebe and Barry Smith, a book arguing against the possibility of artificial general intelligence (AGI). The reviewer presents the book's main arguments, which center on the complexity of human intelligence and the limitations of computational systems. While acknowledging the book's thorough research and engagement with various fields, the reviewer remains unconvinced by its strong conclusions. The review discusses counterarguments, including the current capabilities of language models and the uncertainty surrounding future AI developments. It concludes by suggesting alternative interpretations of the book's arguments and questioning the practical implications of such theoretical debates. Shorter summary

A review of 'The Wizard and the Prophet' by Charles Mann, exploring contrasting approaches to human-nature relationships through the lives of William Vogt and Norman Borlaug. Longer summary

This review of Charles Mann's 'The Wizard and the Prophet' explores the contrasting approaches to human-nature relationships through the lives of William Vogt (the 'Prophet') and Norman Borlaug (the 'Wizard'). The reviewer initially favors Borlaug's Wizardly approach of using science and technology to solve problems, but later acknowledges the complexity of modern systems may require a more holistic approach. The review covers the book's structure, discussing the biographies of Vogt and Borlaug, and then exploring four key areas: food, water, energy, and climate change. The reviewer concludes by reflecting on the challenges of COVID-19 and the need to continue striving for improvement despite increasing complexity. Shorter summary

Scott Alexander examines mental disorders through the lens of dynamical systems theory, exploring how this perspective complements and contrasts with taxometric approaches. Longer summary

Scott Alexander explores the concept of mental disorders as dynamical systems with attractor states, contrasting this with the taxometric approach. He uses examples like Alice's health insurance situation and Bob's depression to illustrate how complex systems can have stable states that attract nearby unstable situations. The post discusses how this perspective can help understand the nature of depression and other mental disorders, showing how they can be both dimensional and categorical. Scott also draws parallels between the complexity of mental disorders and the global economy, emphasizing the intricate interconnections and the difficulty of predicting outcomes or effective interventions. Shorter summary