llm tooling

Nicholas Carlini of Anthropic talks at [un]prompted 2026 about how adversaries could misuse current LLMs for attacks. He shows recent models finding zero-day vulnerabilities in heavily tested software, including a SQL injection in Ghost.

Lex Fridman's long podcast interview with Yann LeCun on Meta AI, open source, the limits of LLMs, AGI and the future of AI.

A short clip from a lecture Q&A in which Richard Stallman appears to pick something off his foot and eat it.

A short compilation of Steve Ballmer energetically shouting and dancing on stage at Microsoft events, including the famous developers chant.

A short clip of Steve Ballmer at a Microsoft event chanting "developers" over and over. It became a lasting internet meme.

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 short explainer on the history and mechanics of public key cryptography and the Diffie-Hellman key exchange. It uses a mixing-paint-colors analogy to show how two parties can agree on a shared secret in public.

A short extended clip of Steve Ballmer sweating and chanting "developers" on stage at a .NET presentation around 1999 or 2000.

A 2012 lecture by Richard Stallman at Reykjavik University arguing that copyright, built for the printing press, fits poorly with computer networks. He criticizes draconian enforcement and corporate lobbying.

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.

Richard Stallman's TEDxGeneva 2014 talk describing how nonfree programs give companies control over users and what users can do to regain control. It introduces the free software movement and the four freedoms.

Lex Fridman interviews MIT psycholinguist Edward Gibson on human language, syntax, grammar and how large language models relate to them. The conversation runs nearly three hours.

A short Art of the Problem clip explaining Diffie-Hellman key exchange, using a paint mixing analogy for one-way functions and touching on modular arithmetic and discrete logarithms.

A short clip of Richard Stallman singing the free software song, recorded during a visit to Ecuador.

A short clip from MIX08 in which Microsoft CEO Steve Ballmer grabs Guy Kawasaki's MacBook Air from its envelope during a Q&A and mocks it.

A two-minute clip of Steve Ballmer laughing at the $500 price of the newly announced iPhone and dismissing its lack of a keyboard. It captures a famously wrong early reaction from an industry executive.

A one-minute clip of Steve Ballmer laughing at the original iPhone and dismissing its price and appeal.

A one-minute 1986 promo of Microsoft Windows 1.0 presented by Steve Ballmer, with a hyperbolic price pitch ending in the tag line about Nebraska.

3Blue1Brown's visual explanation of how transformers and GPT-style language models work, tracing data through tokens, embeddings and attention.

Steve Yegge's Stanford seminar on GROK, Google's internal large-scale, cross-language source code analysis system. It covers how the system helps with code search and understanding across Google's huge codebase.

Yann LeCun on the Big Technology Podcast discusses why current AI models cannot make discoveries despite their knowledge. He argues systems need abstract world models and also covers limits of AI research, investor expectations, and open source after DeepSeek.

Dwarkesh Patel interviews Richard Sutton, reinforcement learning pioneer, Turing Award winner and author of The Bitter Lesson. Sutton argues LLMs are a dead end because they cannot learn on the job, and that continual learning from experience will require a new architecture.

Zach Tellman's Clojure West talk covers the basics of queueing theory and its practical use in systems, including backpressure, how queues break down under load, and pitfalls of naive core.async use.

Cheng Lou's react-europe 2016 talk lays out a mental framework for thinking about abstraction levels in JavaScript tooling, from Angular and Grunt to Webpack and React. It uses that framework to reason about the cost of abstractions and how to choose between competing solutions.

Andrej Karpathy walks through how GPT assistants are trained, from tokenization and pretraining to supervised finetuning and RLHF, and gives practical prompting strategies and a view of the tooling ecosystem.

A one-hour OCaml Workshop 2020 talk on the state of the OCaml Platform, covering IDE support, next steps for the tooling and plans for 2020-2021.

Destin Sandlin tours a progressive metal stamping factory, showing machines that stamp millions of metal parts and the tooling behind them.

A Lex Fridman podcast conversation with the four creators of Cursor, the AI-assisted code editor. They discuss how the editor integrates models into programming workflows, including custom completion models and techniques like speculative decoding to speed up applying edits.

A clip in which Eben Moglen tells how he grew up when software was freer and how his path crossed Richard Stallman's. He describes how they came to work together to make software free again.

Tom Gally, a former professional translator and University of Tokyo professor, discusses in March 2023 whether GPT-4 and similar models could translate literary and popular fiction. He gives his assessment of Japanese-to-English quality.

A demo of a Skyrim mod that uses Inworld AI to let players hold free-form conversations with NPCs. It previews LLM-driven characters in role-playing games.

A South Park clip in which Butters' dad takes a job at an Amazon fulfillment center to make ends meet. It satirizes warehouse work conditions.

Jeremy Howard's 90-minute practical tour of language models. It covers how they work, GPT-4's capabilities and limits, using the OpenAI API, code writing, data analysis and fine-tuning.

Andrej Karpathy gives a one-hour general-audience introduction to large language models, covering what they are, how they are trained, comparisons to operating systems, and security challenges such as jailbreaks.

Allan Blomquist demonstrates the internal programming and debugging tools Tomorrow Corporation uses to make games, including live modification of a running game and time-travel debugging.

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.

Revolution OS is a feature-length documentary on the history of free software and Linux. It covers Stallman and the GNU project, Torvalds and the kernel, and Raymond and Perens on open source, starting from the era of freely shared hobbyist code.

A short cartoon explaining how language models like ChatGPT work, from autocomplete and conditional probabilities to neural networks, gradient descent and backpropagation. It shows how networks act as universal function approximators.

OpenAI's 2021 live demo of Codex translating natural language into code, from Hello World to building a game and a Microsoft Word plugin.

Kurzgesagt examines how AI-generated content is flooding the internet, from video and music to news and books. It looks at how this makes verifying what is real harder.