Meaning Through Modeling
Explore how modeling can create meaning and understanding in complex systems, with insights from Zenna Tavares on innovative approaches to scientific inquiry and knowledge representation.
Cognitive Maps in Large Language Models - Multiscale Predictive Representations
Explore cognitive maps in large language models, their performance in graph-based tasks, and implications for AI and neuroscience with Ida Momennejad.
Feynman, Shannon, and Darwin Worry About Understanding
Explore how Feynman, Shannon, and Darwin's ideas intersect in the pursuit of understanding complex systems and scientific knowledge.
Language Understanding Goes Beyond Language Processing
Explore how language comprehension extends beyond traditional processing, delving into cognitive mechanisms and neural networks that shape our understanding of communication and meaning.
Imitation Versus Innovation - What Children Can Do That Large Language Models Can't
Explore the unique cognitive abilities of children in comparison to AI language models, focusing on imitation and innovation in learning and problem-solving processes.
AI and Society: Oppression or Innovation?
Experts discuss AI's impact on society, exploring its potential to amplify biases or drive innovation in health, housing, justice, and more. Insights on governing AI and building a hopeful future with emerging technologies.
What Do Our Machines Dream Of? Understanding Language Models and Their Reasoning Capabilities
Explore the fascinating world of AI language models, their capabilities, limitations, and potential for reasoning through experiments and demonstrations.
Balance, Criticality, and Antifragility in Complex Systems
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.
Complex Conceptions of Time - Exploring Scientific and Literary Perspectives
Exploring time through physics, philosophy, and science fiction. Experts discuss metaphors, mathematical concepts, and narrative approaches to understanding time, challenging conventional perceptions and exploring its complexities.
Emergent Analogical Reasoning in Large Language Models
Explore the fascinating emergence of analogical reasoning in large language models, uncovering insights into AI's cognitive capabilities and potential future developments.
Capturing Intelligence at the Level of Thought - Deep Learning and Language Models
Explore deep learning, language models, and AI alignment challenges in this talk on capturing intelligence at the thought level, offering insights into the future of AI research.
The Neuroscience and Philosophy of Curious Minds - Exploring Curiosity as a Network Phenomenon
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.
Nonequilibrium Physics in Living Systems
Explore the fascinating intersection of physics and biology, uncovering how nonequilibrium principles shape living systems and their complex behaviors.
Evolving Brains - Synthetic Brains and Minds: What is Possible? - Lecture 2
Exploring synthetic biology, artificial life, and AI to understand cognitive complexity and the potential for creating synthetic minds different from human cognition.
Evolving Brains: Solid, Liquid and Synthetic - Lecture 1: Liquid Brains and Solid Brains
Explore diverse intelligences across life forms, from cells to humans. Examine brain evolution, commonalities, and differences, and consider possibilities for new types of minds.
Building Human-Like Artificial Agents
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.
How the Brain Makes You - Collective Intelligence and Computation by Neural Circuits
Explore how billions of neurons collectively create intelligence, perception, memory, and imagination through electrical signals, revealing the mysteries of the mind's computational function.
Child Development, Elderhood, Caregiving, and AI - Insights from Alison Gopnik
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.
Complex System Research in Psychology
Explore cutting-edge approaches to understanding human behavior and cognition through the lens of complex systems theory and interdisciplinary research methods.
Possibility Architectures - Exploring Human Communication with Generative AI
Explore the intersection of human communication and generative AI, examining how these technologies reshape our interactions and open new possibilities for expression and understanding.
The Thermodynamics of Communication - Exploring Energy and Information Limits
Exploring the fundamental relationship between energy, information, and matter in communication processes. Discusses nonlinear dynamics of communication channels and their implications for collective intelligence and limits to human knowledge.