two-party system

A 1990 lecture by James Gosling on NeWS, Sun's networked window system in which clients send PostScript programs to the server for execution. It covers the high-level imaging model and compares NeWS with similar systems.

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.

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.

The first lecture in Martin Kleppmann's 8-lecture distributed systems series from the University of Cambridge undergraduate course. It introduces the subject, and accompanying lecture notes are available.

The first lecture of Andy Pavlo's CMU 15-445 Intro to Database Systems (Fall 2019), covering course introduction and the relational model.

Geoffrey Hinton's 2025 Royal Institution Discourse on what AI has learned from biological intelligence and how it might surpass it. He explains neural networks and argues that human language use resembles what backpropagation-trained networks do.

Geoffrey Hinton gives an MIT talk on what is wrong with convolutional neural networks and introduces his capsules project. The description points to the capsule network papers.

The first lecture of Stanford's CS231n course on convolutional neural networks for visual recognition. It surveys the history and key challenges of computer vision, from the Cambrian explosion and Hubel and Wiesel to ImageNet.

Robert Sapolsky's Stanford lecture on the limbic system as the emotional part of the nervous system, covering its role in decision making, links to the cortex and the functions of its subparts.

The opening lecture of MIT 6.824 Distributed Systems (Spring 2020), introducing the course and core challenges of distributed systems. It begins a playlist that goes on to cover Raft and other consensus papers in Go.

Jonathan Haidt's Hayek Lecture at Duke argues American universities pursue two potentially incompatible sacred values, truth and social justice. He discusses campus conflict, honor, dignity and victimhood cultures, and viewpoint diversity.

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

A guest lecture Jon Gjengset gave at Two Sigma on using Rust for large, high-performance systems. It covers why Rust suits such projects, the Noria research database, a concurrent data structure used in it, and practical experience.

Mathematician Colin Wright demonstrates juggling and explains the mathematics of juggling patterns, including notation that led to new throwing patterns. It is a public presentation at the Museum of Mathematics aimed at a general audience.

Milton Friedman lectures to physicians on the economics of medical care, arguing that government involvement raises costs and leads toward socialized medicine. He also discusses licensing and protecting patients from quacks.

The first lecture of Gilbert Strang's MIT 18.06 Linear Algebra course, covering the geometry of linear equations. It opens a full 35-lecture university course.

Elizabeth Warren's 2007 Berkeley lecture, when she was a Harvard law professor, on why middle-class families are under growing financial strain. She draws on bankruptcy research to examine rising costs of housing, health care and education.

The first lecture of Jordan Peterson's 2017 Maps of Meaning course, setting out the Cold War context for his theory of belief and culture. He introduces the narrative structure of culture and archetypal characters for the individual, the known and the unknown.

John Ousterhout's slides-and-voiceover lecture on Paxos, made for the Raft user study comparing how students learn Raft and Paxos. It is a full introduction to the Paxos consensus algorithm.

Irving Finkel of the British Museum lectures at the Royal Institution on the invention and decipherment of cuneiform writing in Mesopotamia, and why it is so hard to translate.

The opening lecture of Steve Brunton's Control Bootcamp, covering the kinds of control and why closed-loop feedback matters. It starts a series that follows the control chapter of the Brunton and Kutz data-driven science book.

John Ousterhout lectures on the Raft consensus algorithm, made for the Raft user study comparing how students learn Raft and Paxos. It covers leader election and log repair.

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.

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.

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.

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.

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.

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.

The 1965 Cambridge Union debate between James Baldwin and William F. Buckley Jr. on whether the American Dream comes at the expense of the American Negro. It is a historic recording of the two speaking.

Simon Peyton Jones gives Churchill College's annual computer science lecture on Haskell's birth and evolution. He covers the most influential ideas, from laziness to monads and type system evolution, plus current developments and guesses about the future.

Andrej Karpathy builds the GPT tokenizer from scratch, implementing byte pair encoding along with encode and decode. He shows how many odd LLM behaviors trace back to tokenization, and covers Unicode byte encodings along the way.

Ian Piumarta's 2007 Stanford EE380 lecture on building a dynamic programming environment from the ground up, from the Viewpoints Research Institute's work. It covers the design of a language and system with a recursive design, parsing through code generation, and the COLA architecture.

Milton Friedman explains why the US tax code is enormously complex and why meaningful reform is unlikely. He argues that politicians profit from the complexity, since tax breaks are products they sell and the code works as a tool of reward and punishment. The clip is about 14 minutes from his lecture series.

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.

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.

Stanford physicist Leonard Susskind gives the first of two mini-lectures on "ER = EPR", the idea that quantum entanglement and wormholes are related. It covers what lies behind black hole horizons.

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.

Andres Gomez Emilsson of the Qualia Research Institute presents a model of DMT experiences using hyperbolic geometry and dynamical systems theory. He describes how different intoxication levels correspond to changing curvature and information content of experience.

A special lecture from MIT's Private Pilot Ground School in which Lt. Col. Randy Gordon, a fighter and test pilot, describes F-22 flight controls. Topics include thrust vectoring, the pilot command system and how software handles failures.