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Neuroscientist Anil Seth gives a Royal Institution lecture on the science of consciousness. He separates conscious level, content and self, and argues that experience arises from the brain's predictive inference.

A Royal Institution lecture in which Nicholas Humphrey presents his theory of phenomenal consciousness and its evolution. He draws on the book Sentience and discusses evidence for animal sentience.

Andrej Karpathy's first Neural Networks: Zero to Hero lecture, which builds micrograd, a tiny autograd engine, from scratch in Python. It explains backpropagation and neural network training step by step, assuming only basic Python and some high-school calculus.

A Bell Labs film in which Dr. J.N. Shive uses a mechanical wave machine to demonstrate reflection, standing waves, resonance and impedance matching. He includes some equations but relies mostly on real-world examples a layperson can follow.

The opening lecture of Robert Sapolsky's Stanford course on Human Behavioral Biology, explaining the course premise and how to avoid categorical thinking. It starts a roughly 25-lecture series on how biology, genes, hormones and environment shape behavior.

Stanford professor Robert Sapolsky lectures on depression as a real biological disease. He covers its biological and psychological causes, how it differs from ordinary sadness, and ideas such as learned helplessness. He ties these together into one account.

Harvard physicist Eric Mazur explains how he realized his students were memorizing rather than understanding, and how he changed his teaching. He presents peer instruction and data showing improved student performance.

An RSA Animate drawn from a Sir Ken Robinson talk arguing that current education systems are modeled on the industrial age. It discusses divergent thinking, standardization, and how schools disengage kids.

A roughly three-hour San Francisco workshop by Marshall Rosenberg on Nonviolent Communication, with full English subtitles added by a fan. He teaches the model with his jackal and giraffe language examples.

The first of Richard Feynman's 1964 Cornell Messenger Lectures, The Character of Physical Law, focusing on the law of gravitation. Feynman builds up from planetary motion to the nature of physical laws.

Floyd Toole's CIRMMT distinguished lecture on the science of sound reproduction, drawing on decades of blind listening research. It covers what listeners prefer in loudspeakers and why measured accuracy and anechoic response matter.

An 11-minute clip of Milton Friedman explaining the incentives of unions and how they affect employment. He argues unions restrict labor supply, raising pay for some workers while hurting low-skill workers.

Hans Rosling uses population statistics to explain why the world population will level off rather than grow without limit. He shows that falling child mortality and rising prosperity lead to smaller families.

Stanford biologist Robert Sapolsky lectures on the evolution of behavior, including the Prisoner's Dilemma and tit-for-tat strategies in animals. It is part of his Human Behavioral Biology course.

A 1983 Los Angeles lecture by KGB defector Yuri Bezmenov on how the Soviets carried out ideological subversion of target societies through propaganda. He walks through demoralization and normalization stages.

An 86-minute Milton Friedman talk arguing that inflation is a monetary phenomenon caused by money supply growing faster than goods, and that the cure is less government spending and money printing.

A 73-minute Stanford talk by Robert Sapolsky drawn from his book Behave. It surveys the biological factors behind human behavior at its best and worst.

A segment from Carl Sagan's original Cosmos explaining the fourth spatial dimension through analogy with a two-dimensional world and shadow projection.

Michael Levin presents his lab's work on how cellular collectives use bioelectric networks to make anatomical decisions. Topics include pattern memories, regeneration and synthetic living organisms.

Richard Hamming's 1995 lecture on n-dimensional space, showing how geometric intuition about spheres and cubes breaks down in high dimensions. It is part of his course on learning to learn.

The first lecture of Michael Sipser's MIT 18.404J Theory of Computation course, covering course mechanics, finite automata, regular languages and regular expressions. It proves closure of regular languages under union and begins concatenation.

The first lecture of David MacKay's Cambridge course on information theory, pattern recognition and neural networks. It introduces the core ideas of his book Information Theory, Inference, and Learning Algorithms.

Vladimir Voevodsky's IAS lecture starts from Godel's second incompleteness theorem to explore whether first-order arithmetic could be inconsistent. It motivates his vision of univalent foundations and computer-checked proofs.

A university lecture from CS480/680 by Pascal Poupart on attention mechanisms and transformer networks, worked through on a chalkboard.

Clayton Christensen explains disruptive innovation using the steel industry, showing how mini-mills beat incumbents from the low end. He argues disruption is not about stupid or bad management.

A short clip of Jordan Peterson explaining Pareto distributions, using Soviet farm collectivization and the resulting famine as context. It also covers how outcomes concentrate in a few people.

A 2020 UC San Diego event with Roger Penrose and Stuart Hameroff presenting their Orch OR theory that consciousness arises from quantum processes in brain microtubules, followed by a conversation with Roger Bingham.

Robert Sapolsky's Stanford lecture on the biological underpinnings of religiosity, from his human behavioral biology course. It covers theories linking religion to stress, and schizotypal traits.

Part one of an American Airlines training video presented by Captain Warren VanderBurgh on automation dependency. It grew out of a program on wake turbulence avoidance, and this restored version has the audio cleaned up.

Nathan Kutz presents the spatio-temporal dynamics of rotating detonation rocket engines, including combustion fronts that behave like solitons. He shows a bifurcation analysis of a multiscale model that captures the main features.

A detailed 40-minute explanation of the ultraviolet catastrophe, covering Rayleigh and Jeans' classical treatment of blackbody radiation and Planck's quantum hypothesis. It follows the Eisberg and Resnick textbook treatment.

A roughly three-hour technical livestream Q&A on Helion Energy's fusion approach and the National Ignition Facility. It covers neutron production, shielding, energy recovery, diagnostics and why tokamaks might fare better.

David Shaw of D. E. Shaw Research presents Anton, a special-purpose machine that speeds up biomolecular simulations about a hundred-fold. The lecture covers molecular dynamics and how simulation helps understand how drugs bind.

Robert Sapolsky's Stanford lecture on chaos and reductionism, which he calls one of the hardest of the course. It examines the limits of breaking systems into parts to understand them and introduces chaotic systems.

Clayton Christensen explains his theory of disruptive innovation at Oxford's Said Business School, using examples from steel, Toyota, Sony, Walmart and Godrej. He applies the theory to why some economies stagnate and others grow.

Zach Hartwig of MIT introduces the key concepts of magnetic fusion energy and the state of fusion research. He then presents MIT's proposed pathway of using high-field superconducting magnets to build smaller, cheaper tokamaks on a climate-relevant timescale.

Hans Rosling uses data and animated statistics to show how world population is changing, why birth rates fall as child survival and wealth rise, and why population is expected to peak around 11 billion. It also tackles common misconceptions about Africa and family planning.

The introductory lecture of Stephen Boyd's Stanford Convex Optimization I course (EE 364A). It outlines convex sets, functions and problems, and the course's coverage of least-squares, linear and semidefinite programming, duality and interior-point methods.

An excerpt from Richard Dawkins's lecture on Climbing Mount Improbable demonstrating how a complex eye can evolve through incremental steps. It answers the creationist irreducible complexity argument.

An MIT colloquium by Dennis Whyte on power exhaust and first-wall cooling in fusion reactors, including recent innovations and the SPARC and ARC designs.