Evidence-based Medicine | Dr Gordon Guyatt

The Free Energy Principle: Consciousness, AI & Why We Predict | Karl Friston

In this episode, Professor Karl Friston and I explore the free energy principle: what it is, why it matters, and how it connects to neuroscience, consciousness, evolution, and artificial intelligence. We discuss Markov blankets, self-organisation, prediction error, active inference, and why living systems can be understood as trying to minimise surprise. Professor Friston explains how action, perception, and prediction work together, using examples from cells, eye movements, reflexes, and robotics. We also explore consciousness in humans and animals, whether AI could ever be conscious, why large language models lack intentions, and the importance of embodiment, scale, and mortal computation. Finally, we discuss why consciousness may depend on complexity, selfhood, and our relationships with others.

Spinoza: God, Nature, Free Will & The Good Life | Prof. Steven Nadler

In this episode, Professor Steven Nadler and I explore the philosophy of Baruch Spinoza: his views on God, nature, free will, religion, and the good life. We discuss why Spinoza identified God with Nature, why this made him such a controversial figure, and whether he should be considered an atheist. Professor Nadler explains why Spinoza denied free will, yet still believed that human beings can become freer through reason and understanding. We also explore Spinoza’s account of happiness, virtue, death, immortality, and what it means to live well. Finally, we discuss his critique of organised religion, miracles, and the political importance of freedom of thought.

How the Brain Predicts the Future | Prof. Reza Shadmehr

In this episode, Prof. Reza Shadmehr and I discuss how the brain predicts the future and why prediction may be one of its most fundamental functions. We explore the cerebellum, its evolutionary origins, and its role in movement, learning, error correction, and social behaviour. Prof. Shadmehr explains how ideas from engineering, robotics, and optimal control theory have shaped modern neuroscience, and how concepts such as internal models, reinforcement learning, and dopamine help us understand the brain. We also discuss mossy fibers, climbing fibers, ataxia, neural recording techniques, and why damage to the cerebellum affects both movement and thought. Finally, we explore the relationship between neuroscience and artificial intelligence, current research on how the brain learns, and the implications of AI for our understanding of human intelligence. Music: Without A Trace Music licensed through Soundstripe. License code: XFXCHV8GG8DTGRXY

How Does The Brain Process Language? | Prof. David Poeppel

In this episode, Prof. David Poeppel and I discuss the Dual Stream Model of Language and how the brain processes speech. We explore the roles of the dorsal and ventral language pathways, the concept of efference copy, neural oscillations, and brain-stimulation techniques such as TMS. We also discuss neural sampling rates and neuroimaging methods such as EEG and MEG. Prof. Poeppel explains spatial, spectral, and temporal resolution, asymmetric oscillatory sampling, and how language processing may differ in neurodivergent individuals. Finally, we explore how the brain processes music, what it means to store words in our heads, and how babies learn language.

How Do You Transcend Nihilism? | Dr Nolen Gertz

In this episode, Dr. Nolen Gertz and I discuss nihilism, technology, meaning, and the modern human condition. We explore the difference between passive and active nihilism, and how technology can make distraction and escapism easier, pushing us away from confronting reality and deeper questions of meaning. We also discuss Heidegger’s philosophy of technology, existentialism, AI, religion, and the search for meaning in an increasingly technological world.