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CNBC gets a tour of ASML's cleanrooms in the Netherlands to see how its roughly $200 million EUV lithography machines are built. It covers exploding molten tin, ultra-flat optics and why only one company can make these systems.

Asianometry explains the EUV light source inside ASML's lithography machines, where lasers hit falling tin droplets twice to produce 13.5 nm light. It walks through the engineering of the droplet generator, the pre-pulse and main laser, and the plasma that results.

Seeker's Focal Point short documentary on ASML's extreme ultraviolet lithography machines, which make the most advanced chips. It shows how plasma-generated 13.5 nm light is used to push Moore's Law forward.

Magician Kostya Kimlat performs a card trick on Penn & Teller: Fool Us that fooled the duo, using Penn's favorite card trick as a basis.

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.

Episode 7 of the Inside Koenigsegg series, where Christian von Koenigsegg demonstrates the camless Free Valve engine technology. It discusses how such innovation could affect the wider auto industry.

Wes Bos breaks down the techniques behind the McMaster-Carr website's speed: server-rendered HTML, prefetching, CDN and service worker caching, preloading, critical CSS and fixed-size images. He also notes its old-school jQuery and YUI JavaScript.

A five-minute video showing how to build a counter in the Imba web programming language in under a minute, then style it.

Michael Wesch's five-minute video about Web 2.0, showing how the read/write web, XML and user-generated content change how people create and share information.

EposVox reviews a very cheap USB 2.0 HDMI capture dongle sold under names like BlueAVS/Goodan, testing whether it works as an alternative to the Elgato Cam Link. He covers its quality and limits for webcam-style and camera capture use.

3Blue1Brown's first chapter on deep learning explains what neurons and layers are and the math underlying a basic neural network, using handwritten digit recognition with visual animations.

A short Dyalog demonstration building Conway's Game of Life in a single line of APL, step by step. It shows how array operations replace loops.

SethBling shows MarI/O, a program using neural networks and the NEAT genetic algorithm to learn to play Super Mario World. The description links the source code, the paper and background reading.

Tom7 explains and demos software that learns to play NES games by finding score patterns in memory and then searching for inputs that raise it. It is the video companion to his SIGBOVIK paper.

A humorous 10-minute parody sequel to Erlang: The Movie, in which Erlang's creators discuss the aging language and meet a surprise helper. It plays on the Outlaw Techno Psychobitch joke for OTP.

Brian Peiris demonstrates RiftSketch, a web app where you write JavaScript with Three.js while wearing an Oculus Rift and watch the world around you change live. It runs on Firefox builds with WebVR.

Bruce Hauman live-codes Flappy Bird in ClojureScript in about six minutes, using figwheel to hot-reload changes into the running game. The demo shows game behavior being changed interactively without restarting.

Phoenix creator Chris McCord builds a real-time Twitter-style app live with Phoenix LiveView 1.5 in about 15 minutes. It shows interactive, real-time updates without writing JavaScript.

A five-minute excerpt of Rich Hickey's Clojure Made Simple talk, with new slides, ranting about HttpServletRequest and specificity. He argues for using generic maps instead of many specific classes and getters.

A Dyalog demonstration of developing a Sudoku solver in APL, using an algorithm by Arthur Whitney with performance work by John Scholes. The narration steps through the array-oriented solution.

Symbolics developer Kalman Reti gives a short introductory demo of a Symbolics Lisp Machine running Genera in an emulator. It shows the context-aware command line, typed on-screen objects, and the live-editable system, including swapping in a C-compiled JPEG decoder.

A short screencast tour of JSPM, SystemJS and ES6 features, building a small app with the then-new JavaScript module and package tooling. It shows how JSPM works as a package manager, bundler and loader.

The first episode of Google's Machine Learning Recipes series. It introduces machine learning and builds a first supervised-learning classifier in about six lines of Python using scikit-learn.

Sam Zeloof shows the upgraded second iteration of his homemade silicon integrated circuit fabrication process, producing chips with around a thousand transistors in his garage. It is a short overview of what the home fab can now do.

Stephen Wolfram gives a 13-minute tour of the Wolfram Language, a symbolic, functional programming language with a built-in knowledgebase. He demos querying large datasets, interactivity and deployment.

A short Ericsson film demoing Erlang, showing concurrent processes, debugging tools, and hot code reloading, including crashing parts of a running system while calls continue.

John Scholes builds a depth-first tree-search operator step by step in a Dyalog APL session. It covers higher-order functions and runs the search on the N-Queens problem.

Ben Eater gives a detailed look at how an NPN bipolar junction transistor works and what it does. It is an eleven-minute explanation aimed at building real understanding of the device.

Sentdex demonstrates GAN Theft Auto, a GameGAN-based neural network that recreates GTA V so the network itself is the playable environment. He shows the results and releases the code.

3Blue1Brown's third deep learning chapter gives a visual, intuitive account of backpropagation and what happens to a neural network as it learns. A follow-up video covers the underlying calculus.

Robert Miles explains reward modelling, in which an AI learns what humans want from their preference comparisons instead of a hand-written reward function. He walks through the 2017 paper on deep reinforcement learning from human preferences.

An episode of FunFunFunction explaining monads in JavaScript as functors that also implement flatMap. It builds on the preceding functor episode and works through code examples.

James Mickens delivers his comedic rant about JavaScript and web programming, in his usual dry, hyperbolic style. It includes his account of learning the language from the O'Reilly Definitive Guide.

A short smartphone-recorded clip from a 2014 event in Paris where DeepMind CEO Demis Hassabis presents an AI learning to play old Atari games. The system learns from only the video signal and the score. Audio quality is poor.

A playful music video promoting the book Land of Lisp, with a song about Lisp programming.

Mark Rober and Jabril build an app that uses machine learning to decode baseball sign sequences. The video also explains neural networks in a simple, accessible way.

Jen Simmons explains the difference between CSS Flexbox and CSS Grid, and when to use each. She makes the case that Grid does not replace Flexbox and most sites use both.

The first episode of a screencast series building djb's redo build system from scratch in Haskell. It explains the purpose of redo, writes initial code and sets up a GitHub repository.

Aaron Francis walks through how PHP has changed from 2012 to 2023, covering traits, array destructuring, generators, typed properties and more. It is a quick chaptered tour of modern PHP features.

Huygens Optics experiments with etching tiny patterns in glass, covering hydrofluoric acid risks, buffered oxide etch, photoresist and chromium masks, and laser-induced etching. It ends with attempts at microscopic Tesla valves.