
Explore complex systems thinking and its philosophical implications with Carlos Gershenson. Delve into balance, criticality, antifragility, and the intersections between Eastern and Western philosophical traditions and modern scientific concepts.

Explore the fascinating emergence of analogical reasoning in large language models, uncovering insights into AI's cognitive capabilities and potential future developments.

Exploring the challenges of measurement, governance, and social science in complex systems. Discusses value capture, legibility, and expert identification in the context of emergent political economies.

Exploring curiosity as a networked phenomenon, bridging neuroscience and philosophy to reframe how we understand desire, wonder, and discovery in both the brain and society.

Exploring synthetic biology, artificial life, and AI to understand cognitive complexity and the potential for creating synthetic minds different from human cognition.

Explore diverse intelligences across life forms, from cells to humans. Examine brain evolution, commonalities, and differences, and consider possibilities for new types of minds.

Explore the development of AI agents that mimic human behavior and cognition, delving into cutting-edge research and potential implications for the future of artificial intelligence.

Explore how billions of neurons collectively create intelligence, perception, memory, and imagination through electrical signals, revealing the mysteries of the mind's computational function.

Explore the concept of structural balance in complex systems and its implications for understanding social networks, organizational dynamics, and decision-making processes.

Exploring liquid and solid brains, cognitive scaling, criticality, and terraforming the biosphere through synthetic biology. Insights on collective intelligence and the future of technology in ecology and evolution.

Exploring child development, elderhood, and AI through evolutionary and cognitive lenses. Discusses the value of play, exploration, and caregiving in human cognition and potential applications to machine learning.

Explore cutting-edge approaches to understanding human behavior and cognition through the lens of complex systems theory and interdisciplinary research methods.

Exploring pluralistic approaches to governance and society, discussing links between plurality and quantum mechanics, and examining technological solutions for 21st-century sense-making challenges.

Explore the intersection of human communication and generative AI, examining how these technologies reshape our interactions and open new possibilities for expression and understanding.

Exploring human uniqueness through neuroscience, comparing cognitive abilities with other animals, and examining curiosity in larger systems. Discusses learning, imagination, and consciousness in humans and beyond.

Exploring diverse approaches to understanding the brain's complexity, emphasizing the importance of multidisciplinary perspectives and collaborative discourse in advancing neuroscience research.

Explore cultural constraints and potential landscapes through an interdisciplinary lens, examining how societal factors shape possibilities and limitations in human systems.

Explore the potential of human-AI collaboration and its impact on various fields, examining the synergies and challenges in this emerging technological frontier.

Exploring regulatory capture's impact on innovation, inequality, and societal violence. Nonpartisan approaches to balance economic power and democratic governance for healthier societal outcomes.

Panel discussion exploring the need for a theory of intelligence, its potential components, and applications beyond human and machine intelligence, considering the limits of current AI successes and future challenges.

Exploring Tokyo's urban design principles as a model for vibrant, adaptable space cities. Analyzes key features enabling bottom-up urbanism and offers insights for creating livable extraterrestrial settlements.