Your Brain vs. AI: What Makes Human Thinking Unique | Tom Griffiths, PhD

Are There Laws That Govern How We Think?

We experience thought as personal, fluid, and often unpredictable. Ideas emerge, decisions form, doubts intrude. Yet beneath this subjective experience may lie something remarkably structured. According to cognitive scientist Tom Griffiths, thinking itself follows laws. Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness, and Culture at Princeton University, with appointments in both Psychology and Computer Science. He also directs Princeton’s Computational Cognitive Science Lab, where his work focuses on understanding the mathematical foundations of human cognition. In his new book, The Laws of Thought, he brings together insights from neuroscience, psychology, philosophy, and artificial intelligence to answer a deceptively simple question: how do minds make sense of the world?

A central idea in the book is that the brain is not a passive receiver of information. Instead, it is an active inference engine, constantly generating predictions about what will happen next and updating those predictions when reality deviates from expectation. Thinking, in this framework, is about navigating uncertainty efficiently rather than achieving perfect accuracy.

This perspective reshapes how we understand intelligence. Many of the mental shortcuts and biases we criticize in ourselves are not design flaws; they are adaptations. The human brain evolved to make good enough decisions with limited time, limited data, and limited energy. Griffiths shows that when viewed through this lens, human reasoning is often surprisingly rational. The rise of artificial intelligence makes this discussion especially timely. By comparing human cognition with machine learning systems, The Laws of Thought clarifies what humans do uniquely well—reasoning flexibly, generalizing from sparse information, and finding meaning in ambiguity. These comparisons don’t diminish human intelligence; they illuminate it.

For brain health, this framework is powerful. It suggests that cognition is not fixed, but deeply shaped by environment, learning, sleep, stress, and metabolic health. Understanding the laws that govern thought gives us leverage—over how we learn, how we adapt, and how we maintain cognitive resilience as we age. This episode of The Empowering Neurologist explores these ideas in depth, offering a fresh and deeply empowering way to understand how our brains think, and how we can work with them, not against them.

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Dr. Tom Griffiths, PhD is a cognitive scientist and computational psychologist whose research has shaped how scientists understand human decision-making under uncertainty and how artificial intelligence differs from biological intelligence. He earned his PhD in psychology from Stanford University in 2005, along with master’s degrees in psychology and statistics, with doctoral exchange work at MIT’s Brain and Cognitive Sciences Department and CSAIL. He holds a Bachelor of Arts with Honours in Psychology from the University of Western Australia. Dr. Griffiths is the Henry R. Luce Professor of Information Technology, Consciousness, and Culture at Princeton University, with appointments in Psychology and Computer Science. He directs both the Computational Cognitive Science Laboratory and the Princeton Laboratory for Artificial Intelligence. Before joining Princeton in 2018, he held faculty positions at Brown University and UC Berkeley. He is a Fellow of the Association for Psychological Science, a recipient of awards from the American Psychological Association and the National Academy of Sciences, co-author of the international bestseller Algorithms to Live By: The Computer Science of Human Decisions, and author of The Laws of Thought: The Quest for a Mathematical Theory of the Mind. His work has appeared in Science, Nature, and PNAS.

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