Is Consciousness An Illusion? | Prof. Keith Frankish

Punished by Rewards | Alfie Kohn

In this episode, Mr Alfie Kohn and I explore why rewards can backfire just as punishment can. We discuss intrinsic and extrinsic motivation, why grades, praise, bonuses, and incentive systems can undermine genuine interest, and why rewards and punishments are ultimately two forms of control. Mr Alfie explains how parents can move away from conditional acceptance and towards working with children to solve problems, while helping them feel loved regardless of their achievements. We also explore how schools could change by moving beyond grades, tests, homework, competition, and rigid curricula. Finally, we discuss authentic assessment, portfolios, conversations with students, student choice, and why education should focus less on memorisation and more on deep thinking, curiosity, collaboration, and real-world understanding.

Learning Without A Teacher | Prof. Sugata Mitra

In this episode, Professor Sugata Mitra and I explore how education could change in a world shaped by the internet and artificial intelligence. We discuss his famous Hole in the Wall experiment, self-organised learning environments, and why groups of children can often teach themselves when they have access to technology, questions, and one another. Professor Mitra explains why the teacher’s role should shift from delivering answers to guiding students through questions and discovery. We also explore whether using AI and the internet should really be considered cheating, why memorisation-based exams may no longer make sense, and how assessment could focus more on real-world outcomes and the ability to learn, apply, and communicate knowledge. Finally, we discuss curiosity, emergence, the importance of learning in groups, the energy demands of AI, and why philosophy and psychology may be essential for preparing children for an increasingly unpredictable future.

Dementia: Risk Reduction & Management | Prof. Gill Livingston

In this episode, Professor Gill Livingston and I explore dementia: what it is, why it develops, and what can be done to reduce risk and support people living with it. We discuss Alzheimer’s disease, vascular dementia, amyloid plaques, tau tangles, cognitive reserve, and why diagnosis can be complex. Professor Livingston explains the major modifiable risk factors for dementia, including smoking, alcohol, hearing loss, vision loss, physical inactivity, social isolation, depression, air pollution, and poor cardiovascular health. We also explore the emotional impact of dementia on patients and caregivers, practical strategies for families, and how healthcare systems could better support people living with dementia. Finally, we discuss public health policy, assisted dying, screen time, and why social connection may be crucial for brain health.

Empire, Colonialism, the EU & Russia | Prof. Anthony Pagden

In this episode, Professor Anthony Pagden and I explore empire, colonialism, nationalism, and the political history of Europe. We discuss what an empire is, why empires expand, and how colonialism and imperialism differ from one another. Professor Pagden explains how nationalism emerged from the decline of larger imperial structures, why political identities remain fragile, and how these questions continue to shape Cyprus today. We also examine whether the United States should be considered an empire, the case for European unity and federalism, and why a common European defence remains so difficult to create. Finally, we discuss Russia’s ambiguous relationship with Europe, Peter the Great’s legacy, and the role that empire continues to play in contemporary politics.

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.