Navigating AI Complexity and Long-term Thinking

This chapter explores the intricacies of AI learning and its challenges with training data, contrasting it with human learning capabilities. It discusses the philosophical implications of long-term concepts, exemplified by a 10,000-year clock project, and how small changes can lead to significant societal advancements. Additionally, the chapter critiques the oversimplified models in macroeconomics, advocating for a greater acceptance of complexity in economic policy and the role of AI in enhancing predictions.