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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.

Stanford Health Care hosts Christopher Gardner and Robert Lustig on whether all calories are equal, with a focus on processed food and sugar. The talk questions the idea that calories in versus calories out fully explains weight and health.

Segment co-founder and CEO Peter Reinhardt recounts how his company found product-market fit, including how a product grew out of a small feature of another. It is a lecture from Stanford's Startup School course.

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 CS107 Programming Paradigms, taught by Jerry Cain, giving an overview of the course. The course goes from C and assembly through C++, concurrency, Scheme and Python.

Brian Will critiques object-oriented programming and rewrites a roughly 3800-line OO program in a procedural style, cutting code and complexity. It is part of a series of OOP critiques.

First lecture of Stanford's CS106A Programming Methodology by Mehran Sahami, giving a course overview and starting on programming. The course teaches software engineering principles using Java.

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.

Gabriel Lebec's Fullstack Academy talk introduces lambda calculus syntax, the history of mathematical logic, and the essence of functional programming using JavaScript. It also covers combinators, currying and Church encodings.

Erik Demaine's MIT 6.006 lecture introducing dynamic programming through Fibonacci numbers and shortest paths. It covers memoization, subproblems and optimal substructure.

Y Combinator CEO Michael Seibel lectures at Startup School on building a product people want: identifying the problem, the customer, an MVP and which customers to pursue first.

Part 10 of Dan Gelbart's prototype-building lecture series, covering flexures: flexible joints that give precise, frictionless motion. It shows how a cheap piece of aluminum can become a nanometer-accurate mechanism.

A philosophy lecture by Professor Moeller on the philosophy of identity. It builds on a discussion of Abigail Thorn's video and covers authenticity, sincerity and how online profiles reshape identity.

Douglas Crockford's first Yahoo lecture puts JavaScript in historical context. He traces the language's structure and quirks back through the early decades of computer science and programming language history.

Chris Granger, creator of Light Table and the Eve language, gives a Berkeley data science lecture on what computation and programming might look like in ten years. He covers the path that led to Eve and ends with demos.

Tom Wildenhain's guest lecture for CMU's Esoteric Programming Languages course shows that PowerPoint transitions and slides are Turing complete without macros, building up to a mind-bending fractal ending.

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.

Ron Vale of UCSF and HHMI gives an introductory lecture on kinesin, dynein and myosin motor proteins. He covers their roles in cells and how they turn ATP hydrolysis into directed motion and force.

The first lecture of MIT 6.042J Mathematics for Computer Science, taught by Tom Leighton, introducing mathematical proofs. It covers propositions, implication and basic proof methods.

The final part of Dan Gelbart's 18-part Building Prototypes series, focused on mechanical design. It opens with a demonstration of stiffness and covers practical design principles for prototype machines.

A long recorded seminar in which Alan Kay discusses object-oriented programming, probably from the mid-1980s. He covers the original idea of objects, messaging and the work done at Xerox.

A 78-minute Richard Feynman lecture of anecdotes about working at Los Alamos on the Manhattan Project, followed by about ten minutes of audience Q&A in which he tells three safe-cracking stories.

Yaron Minsky of Jane Street gave this talk to Harvard's OCaml-based CS51 class in 2010. It collects advice on being an effective ML programmer in an industrial setting.

A lecture by Noam Chomsky on thought control in democratic societies, covering propaganda and manufacturing consent. The upload has no description.

Professor Ruzic explains modular micro-reactors: self-contained nuclear units with passive safety whose fuel lasts about 20 years. He covers their use for process and district heat and where they can compete with diesel generation.

Rick Hartley gives a roughly two-hour live training on proper grounding in PCB design. He explains how energy actually flows in the space between conductors, and how that governs noise, EMI, return paths and signal reflections.

The first lecture of MIT's 1986 6.001 Structure and Interpretation of Computer Programs, given by Harold Abelson, introducing Lisp and the idea of computer science as the study of process.

Richard Hamming's 1995 recording of his talk 'You and Your Research', drawn from his graduate engineering course. He discusses how great scientists pick important problems and build careers, drawing on his years at Bell Labs.

Psychology professor Marty Lobdell gives a one-hour lecture on how to study effectively, covering short focused sessions with breaks, study environment, note-taking and memory techniques. It was aimed at students who cram without improving.

The first lecture in Bartosz Milewski's category theory series for programmers. It covers the motivation and philosophy behind category theory and why composition matters for handling complexity.

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.

Database pioneer Michael Stonebraker argues that 'big data' is really at least four different problems: big volumes with small analytics, big analytics, velocity, and variety. He comments on where each market is heading.

A lecture by Prof. Thomas Seyfried arguing that cancer is primarily a metabolic disease rather than a genetic one. It covers the Warburg effect, mitochondrial damage and implications for therapies.

A panel at The National WWII Museum on the Battle of Kursk, moderated by Keith Huxen with historians Robert Citino and John Parshal. The discussion covers the armored engagement and the German, Soviet and US approaches to tank production.

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.

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.

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

Lecture 1B of MIT's 6.001 Structure and Interpretation of Computer Programs (1986) with Gerald Sussman, covering procedures, processes and the substitution model. It includes the line about the power of naming things.

Associate Professor Simon Michaux presents estimates of the metals needed to build one generation of renewable technology to replace fossil fuels. He argues current production and reserves fall far short, with copper a key shortfall.

The first episode of Michael Sandel's Harvard course on moral reasoning, opening with the trolley problem and the choice between killing one to save five. Sandel draws out student arguments and introduces utilitarian and other approaches to justice.