2025/12/08
Complexity science could be the key to understanding our place in the universe with David Krakauer
What is life? What is intelligence? What is… complexity? Neil deGrasse Tyson and co-hosts Chuck Nice and Gary O’Reilly learn how complexity science, chaos theory, and emergence could be the key to understanding our place in the universe with David Krakauer, president of the Santa Fe Institute and professor in complex systems.
If chemistry is universal, could music be? We dive into what makes something “universal,” why Mars is inhabited by robots, and how cities, economies, and societies exhibit emergent behaviors. We explore the roots of complexity science, from steam engines to organisms, and how early thinkers laid the groundwork for studying order in chaos.
What does it mean to call something “emergent”? We break down the definition of emergence, chaos theory, and its relationship to math, physics, biology, economics, and psychology. We discuss humans as individual particles and when the unpredictable becomes predictable. How do we get order out of disorder? We break down how intelligence isn’t just about answers, it’s about understanding. We examine AI, fake knowledge vs. real problem-solving, and whether life itself is a computational process.
If chemistry is universal, could music be? We dive into what makes something “universal,” why Mars is inhabited by robots, and how cities, economies, and societies exhibit emergent behaviors. We explore the roots of complexity science, from steam engines to organisms, and how early thinkers laid the groundwork for studying order in chaos.
What does it mean to call something “emergent”? We break down the definition of emergence, chaos theory, and its relationship to math, physics, biology, economics, and psychology. We discuss humans as individual particles and when the unpredictable becomes predictable. How do we get order out of disorder? We break down how intelligence isn’t just about answers, it’s about understanding. We examine AI, fake knowledge vs. real problem-solving, and whether life itself is a computational process.
Labels: #Complexity
