model 19

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

A pulmonologist and critical care physician explains how COVID-19 can lead to pneumonia and acute respiratory distress syndrome. He covers evidence-based ARDS treatments such as low tidal volume ventilation.

Sasha Rush surveys linear RNNs and state space models as replacements for attention in transformer-style models, in a talk for MLSys. It covers the foundational preliminaries and predates Mamba.

A Ninja Nerd whiteboard lecture on the Moderna, Pfizer/BioNTech and AstraZeneca COVID-19 vaccines. It covers how each works, the preclinical and phase I-III trial process, and Operation Warp Speed.

MedCram's Dr. Roger Seheult summarizes a discussion with Dr. Michael Mina on cheap, paper-based at-home COVID-19 antigen tests. It explains why lower sensitivity can still work well for screening infectious people.

Part one of Capt. Grace Hopper's 1982 NSA lecture on the future of data, hardware, software and people. It includes her humor, her nanosecond demonstration and views on scaling and resisting old ways of doing things.

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.

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.

A SIGGRAPH 2019 course on geometric algebra. Charles Gunn gives an intro, then Steven De Keninck gives a programmer-focused course with live examples in ganja.js.

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.

Leonard Bernstein's 1973 Norton Lectures at Harvard, starting with Musical Phonology. He draws analogies between music and linguistics, including references to Chomsky.

The final lecture of Richard Hamming's Learning to Learn course, from 1995, based on his well-known talk 'You and Your Research'. It covers how to do important work and build a career.

An eight-minute excerpt of a 1983 video featuring Seymour Papert, creator of Logo, on children learning programming and abstract ideas through embodied play. It shows kids acting out the Logo turtle.

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.

Lecture 7A of the 1986 MIT 6.001 SICP course, with Gerald Sussman presenting the metacircular evaluator, part 1. It shows how a Lisp evaluator can be written in Lisp itself.

Part 1 of Jean-Marc Jancovici's 2019 course at Ecole des Mines de Paris, on energy and its central role in the economy and climate. It is in French with English subtitles available and runs about two and a half hours.

Robert Wills of TNMoC explains the Apollo Guidance Computer hardware and software, then walks through the Apollo 11 landing procedure step by step, including the 1202 alarms.

Andrej Karpathy's three-hour-plus general-audience deep dive into how ChatGPT-style LLMs are built, covering the full training stack from pretraining to post-training. It also gives mental models for their quirks, like hallucination, and how to use them well.

A lecture from MIT's Missing Semester course covering version control with git. It builds up git from its data model rather than from commands.

David Tong, a Cambridge theoretical physicist, explains at the Royal Institution that the fundamental building blocks of nature are quantum fields rather than particles. He covers what we know about these fields and how they fit into the Standard Model.

The introductory lecture of Richard Hamming's capstone course, The Art of Doing Science and Engineering: Learning to Learn. It focuses on style of thinking and on educating rather than training, using technical material only as illustration.

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

Peter Norvig's UBC distinguished lecture on how massive amounts of simple data, such as for language modeling, can yield understanding that hand-built models could not.

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

James D'Angelo argues that the 1970 Legislative Reorganization Act made congressional votes public, opening the door to lobbyists and special interests. He proposes restoring secret voting as a cheap fix for corruption and many social ills.

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.

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.

A re-upload of American Airlines captain Warren Vanderburgh's 1997 presentation warning that pilots who over-rely on cockpit automation lose manual flying skills and awareness. The uploader adds context from his own flying.

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.

Economist Richard Wolff's Talks at Google lecture on his book Democracy at Work. He critiques capitalism and argues for worker-run cooperatives as a path to a more democratic economy.

Neil Postman's 1997 lecture at College of DuPage, based on his book, argues that Americans treat technology as a national religion and depend on it to solve larger human problems. It includes audience questions.

Leo Dirac explains how transformer models have replaced LSTMs in NLP. He gives background from bag of words through RNNs and LSTMs, then a technical deep dive into multi-headed self-attention and positional encoding, with sample code.

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.

Dr. Bruce Bugbee walks through the calculations for crop yield potential when light is the limiting factor, from photosynthetic quantum yield through respiration efficiency and harvest index, using the Energy Cascade Model.

The six Norton Lectures Jorge Luis Borges gave in 1967-68, titled This Craft of Verse, on topics including the riddle of poetry, metaphor, storytelling, translation and a poet's creed. The recording runs over four hours.

A recording of Andres Duany's 1991 'San Antonio By Design' seminar on suburban sprawl. He lays out how codes, zoning and policy produce sprawl and makes the case for new urbanism.

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.