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A two-minute clip of Richard Feynman explaining why he considers much of social science pseudoscience. He stresses how easy it is to fool yourself and how much care real knowledge takes.

A short clip from a Richard Feynman interview in which he explains fire, describing how burning wood releases sunlight stored by the tree, which built itself mostly from air. It showcases his curiosity and plain-spoken explanations.

A restored HD upload of the 1983 BBC series Fun to Imagine, in which Richard Feynman talks informally about everyday science. Topics include jiggling atoms, fire, rubber bands, magnets, electricity, mirrors, seeing, big numbers and ways of thinking.

A standing whiteboard conversation at Lang.NEXT 2012 among Carl Hewitt, Erik Meijer and Clemens Szyperski about the actor model. Hewitt, who originated the model, explains its foundations.

A 1983 BBC interview in which Richard Feynman is asked how magnets work and explains why 'why' questions are hard to answer in everyday terms. He reflects on what counts as an explanation and the limits of analogy.

A long Machine Learning Street Talk interview with Kenneth Stanley, creator of NEAT and novelty search, about his book on why greatness cannot be planned. They discuss open-endedness, the tyranny of objectives, serendipity and the evolution of ideas.

A short clip of Richard Feynman answering an interviewer's question about why magnets repel, explaining that a 'why' question depends on a shared framework of understanding. It illustrates how hard it is to explain fundamentals to a layperson.

A short clip of Richard Feynman answering an interviewer's question about how magnets work, in which he explains why a why-question has no simple answer without a shared frame of reference.

All six episodes of the 1983 BBC series Fun to Imagine, in which Richard Feynman muses on jiggling atoms, fire, rubber bands, magnets, electricity and more. He explains how to think about nature and why imagination is fun.

A clip from the BBC Fun to Imagine series in which Richard Feynman is asked how magnets work and explains why 'why' questions depend on a shared framework of understanding and cannot always be answered in layman's terms.

A ten-minute clip of Richard Feynman describing how mathematicians and physicists differ in their interests and customs. He argues physics rests on visualizing and applying math rather than pure abstraction.

A short excerpt from a BBC interview in which Richard Feynman explains why he dislikes honors and prizes, including his own Nobel, saying the real reward is the pleasure of finding things out.

Brady Haran interviews Brother Guy Consolmagno, director of the Vatican Observatory, for Sixty Symbols. It is part of a three-video set along with the observatory's telescopes and its meteorite collection.

Freeman Dyson recounts how Enrico Fermi rejected his team's meson scattering model, noting that it had too many free parameters. It is the source of the quote about fitting an elephant.

A short clip from an ACM and Computer History Museum interview in which Leslie Lamport discusses writing his paper on time, clocks and the ordering of events. He explains its link to special relativity.

Dwarkesh Patel interviews Google's Jeff Dean and Noam Shazeer about 25 years at the company, from PageRank and MapReduce to the Transformer, mixture of experts and Gemini. They also discuss where AI is heading.

A Ray Summit 2022 keynote fireside chat between OpenAI's Greg Brockman and Anyscale's Robert Nishihara. They discuss how OpenAI's training infrastructure evolved and its use of Ray.

A clip from a BBC interview in which Richard Feynman is asked why magnets repel and attract. He explains that "why" questions depend on what a person already accepts as fundamental.

A two-minute 1981 interview clip in which Richard Feynman answers an artist friend who claims science takes the beauty out of a flower. Feynman argues that understanding adds to beauty and mystery.

A short excerpt from a 1973 Yorkshire TV film in which Richard Feynman explains that knowing the name of something is not the same as knowing it.

A 1968 Firing Line interview in which Milton Friedman explains the negative income tax, a proposal to replace welfare bureaucracy with direct payments.

A roughly three-hour Joe Rogan interview with Donald Trump during the 2024 campaign. It covers policy topics including tariffs and taxes.