equivalent-time sampling

Physicist Carlo Rovelli gives a public lecture at the Royal Institution on how our understanding of time has changed, from Boltzmann and Einstein to quantum theory and loop quantum gravity. He blends physics, philosophy and art to argue that time is stranger than everyday intuition suggests.

Leonard Susskind's Santa Fe Institute talk on the arrow of time: why the past differs from the future when physics equations are time-symmetric. He covers entropy, cosmology and Boltzmann brains.

Carnegie Mellon professor Randy Pausch gives a lecture on time management at the University of Virginia in 2007. He covers practical habits such as tackling important tasks first and distinguishing important from urgent work.

Jean-Marc Jancovici lectures at ENS Paris on whether energy use, jobs and growth can all be preserved. He argues for a physical approach to economics, since resource depletion and climate limits make perpetual GDP growth unrealistic.

Historian Timothy Snyder explains the politics of inevitability and the politics of eternity, two ways of thinking about time that frame his books On Tyranny and The Road to Unfreedom.

Michael Betancourt's lecture at MLSS Iceland 2014 on efficient Bayesian inference with Hamiltonian Monte Carlo. It covers MCMC concepts and motivation and the problems of sampling in high-dimensional distributions.

Dan Britt lectures on the history of climate, covering orbital cycles, ice ages and conditions millions of years ago. It frames current climate debate with deep-time context.

Patrick Winston's long-running MIT lecture on public speaking teaches heuristic rules for talks. It covers how to start, use time and place, boards, props and slides, and how to inform, persuade and finish.

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.

Casey Muratori's lecture, originally given at the Technical University of Madrid, arguing that Conway's Law is the only viable candidate for a true law of software architecture. He explains how software mimics the organization over time, using examples like Windows' multiple volume controls.

Dr. Roger Seheult of MedCram reviews the benefits of sunlight beyond vitamin D, covering the solar spectrum, circadian rhythm, melatonin and infrared light. The lecture runs nearly two hours with timestamps.

A lecture by Richard Feynman on how computers work, using the analogy of a filing clerk that becomes progressively dumber and faster. It also covers heuristics and how computers handle data and solve problems in finite time.

Casey Muratori's University of Twente guest lecture is a case study in how straightforward code can cut thousands of lines and tens of seconds of runtime down to a few dozen lines running in under a second. It uses concrete examples to show why software is often an order of magnitude slower than it should be.

Kurt Vonnegut's 2004 Case College lecture, with Spanish subtitles, in which he sketches the shapes of stories on a blackboard. He plots story arcs as good and bad fortune against time.

Part two of Alan Kay's Stanford Startup School lecture on inventing the future. He draws on his time at Xerox PARC and elsewhere to discuss how to think about new technology and what makes ideas useful.

Michael Sugrue's lecture on Marcus Aurelius' Meditations and the Stoic ideal, covering the text and its philosophy. It is one of his humanities lectures known for their clarity.

A professor from Illinois compares the cost of building, fueling and operating a nuclear plant against a natural gas plant, using visual charts. It shows how construction time and interest rates dominate, when the investment pays off and when costs cross over.

Jeff Dean of Google describes his experiences building Google's systems and how its infrastructure evolved over time. The Stanford talk covers search, scaling tipping points and lessons from building large-scale software.

The opening lecture of the How to Start a Startup course at Stanford, with Sam Altman covering ideas and products and Dustin Moskovitz discussing why to start a startup.

Lecture 1 of Harvard's Statistics 110 with Joe Blitzstein, introducing sample spaces, the naive definition of probability, counting, binomial coefficients and the sampling table.

The first lecture of Stanford's Natural Language Processing with Deep Learning course, taught by Chris Manning and Richard Socher. It introduces NLP and word vectors, including SVD, skip-gram, CBOW, negative sampling and word2vec.

Timothy Gowers thinks aloud, in real time, as he tries to understand why Pascal's determinant equals 1. He does not fully solve it in this episode, but shows his exploratory process.

Rhonda Patrick of FoundMyFitness makes a case for isothiocyanates such as sulforaphane from cruciferous vegetables and broccoli sprouts. It covers cancer, aging, heart disease, brain and behavior, and neurodegeneration, with chapter timestamps.

Chuck Spinney, a long-time associate of John Boyd, presents Boyd's thinking on the OODA loop and evolutionary epistemology. The talk runs about two and a half hours and includes Q&A.

Professor Jeff Dahn lectures on why lithium-ion batteries die and how chemistry changes could make them last decades.

A short clip of Richard Feynman on the difference between merely knowing how to reason mathematically and understanding why physical theories work. He discusses holding multiple equivalent ideas and guessing new laws.

A three-minute clip of Richard Feynman using the rules of chess as an analogy for how science works, discovering rules by observation and sometimes meeting surprises like castling. It touches on incremental progress versus revolutions.

Simon Peyton Jones's first lecture on types in Haskell from the Oregon Programming Languages Summer School 2013. It covers type classes and how they relate to OOP, subtyping and polymorphism.

A talk by Eric Weinstein on gauge theory and its possible application to economics and inflation. It proposes extending the Wu-Yang dictionary into a geometric tool beyond physics.

A short clip of Milton Friedman explaining his free-market view of monopoly, namely that monopolies persist mainly through government help. It is excerpted from the Milton Friedman Speaks series.