The math used for training AI—minimizing the gap between an internal model and external reality—also governs economics. Successful economic agents (individuals, companies, societies) are those with the most accurate internal maps of reality, allowing them to better predict outcomes and persist over time.

The act of a small committee deciding the "correct" cost of money is analogous to communist planners setting prices for consumer goods. This approach assumes an impossible level of knowledge and control over a complex economy, a model that has consistently failed throughout history.

Post-WWII, economists pursued mathematical rigor by modeling human behavior as perfectly rational (i.e., 'maximizing'). This was a convenient simplification for building models, not an accurate depiction of how people actually make decisions, which are often messy and imperfect.

Solow believed that understanding complex topics, like macroeconomics, requires stripping away mathematical complexity to find the simple, underlying mechanism. This approach is key to true comprehension and effective teaching, giving one the belief that a simple core exists in any complex creation.

Robert Solow believes his cohort of economists became legendary not because they were smarter, but because living through the Great Depression focused their talent on society's most urgent problem: a broken economic system. This suggests that generational talent is directed by an era's critical challenges.

Contrary to popular belief, economists don't assume perfect rationality because they think people are flawless calculators. It's a simplifying assumption that makes models mathematically tractable. The goal is often to establish a theoretical benchmark, not to accurately describe psychological reality.

Milton Friedman's 'as if' defense of rational models—that people act 'as if' they are experts—is flawed. Predicting the behavior of an average golfer by modeling Tiger Woods is bound to fail. Models must account for the behavior of regular people, not just theoretical, hyper-rational experts.

According to economist Robert Solow, the issue with metrics like GDP isn't mismeasurement, but a deliberate choice to exclude factors like natural resource depletion. The system is flawed because we have decided not to measure certain things, which creates a distorted view of economic health.

Robert Solow posits that rising inequality isn't just an economic issue; it's a political one. Initial economic disparities lead to political inequality, which then allows the powerful to shape laws (like deregulation) in their favor, further concentrating wealth and reinforcing the initial inequality.