stack languages

Lex Fridman's long interview with Chris Lattner, creator of LLVM and Swift, covering the future of computing and programming languages. It touches on compilers, hardware, and his work at Apple, Tesla, Google and SiFive.

Evan Czaplicki, creator of Elm, examines how programming languages are funded. He looks at where compiler engineers' salaries come from, why Go has about 5 engineers while Dart has about 30, and how this limits language design.

Richard Feldman explains how pure functional languages can match or beat imperative ones on performance. Compilers can turn immutable code into in-place mutation, avoiding naive copying. The talk draws on his work on the Roc language.

A five-minute demo of the Common Lisp debugger fixing a bug, recompiling a single function, and resuming execution from the failed stack frame. It shows how to avoid re-running long computations.

Chuck Moore, inventor of Forth, presents GreenArrays' 144-core asynchronous chip at Strange Loop 2013. He explains how idle cores draw almost no power and how tight code minimizes energy use.

Devine Lu Linvega of Hundred Rabbits talks about low-power, offline computing, esoteric languages and the Uxn virtual machine, informed by years of sailing the Pacific. The talk frames computing sustainability through a permaculture lens.

The first lecture of Michael Sipser's MIT 18.404J Theory of Computation course, covering course mechanics, finite automata, regular languages and regular expressions. It proves closure of regular languages under union and begins concatenation.

Richard Feldman's GOTO Copenhagen 2022 talk on why dynamic languages like Python, Ruby, PHP and JavaScript rose in the 1990s and why each now has a popular static type checker. It argues that modern static typing recovers the advantages that made dynamic languages attractive.

Lex Fridman's long podcast conversation with Chris Lattner, creator of Swift, LLVM and MLIR and co-founder of Modular. Topics include the Mojo language, the future of programming and AI, and hardware.

Peter Hutterer's linux.conf.au 2020 talk on creating libinput, the unified userspace input library, and the difficulties of handling the many quirks of input devices.

Day one of the X.Org Developer's Conference 2020 stream, including talks on the Raspberry Pi 4 Vulkan driver, the WSL graphics architecture, X11 and Wayland apps in WSL, and Mesa for D3D12.

Leandro Facchinetti explains why he thinks Racket is a great language and why he stopped using it. He describes his backstory and experiences with the Racket community.

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.

Jack Rusher's Strange Loop 2022 talk argues that most programming languages are still designed around punchcard-era assumptions. He makes the case for live, interactive programming environments, drawing on Lisp, Smalltalk and REPL-driven development.

Gabriella Gonzalez argues that developers misunderstand marketing as deception or hype, and applies the technology-adoption ideas of Crossing the Chasm to Haskell. She looks at what keeps Haskell from reaching mainstream programmers and what a community can do about it.

Andrej Karpathy, then Tesla's head of AI, gives a CVPR 2021 workshop keynote on how Autopilot's neural networks work. A large part covers the move to a vision-only stack, including why radar was dropped and how vision produces depth estimates.

Tesla's full AI Day 2022 presentation, covering the Tesla Bot hardware and software, Full Self-Driving planning and perception, the occupancy network, data labeling, simulation and Dojo training infrastructure.

RustConf 2020 closing keynote by Sian Griffin that dives into Pokemon Blue glitches, notably Missingno and arbitrary-code-execution tricks. It uses them to explain how memory unsafety works and how memory-safe languages like Rust prevent such bugs.

Guy Steele's Strange Loop 2010 talk argues that programmers should not have to think about parallelism, and that languages should support algorithms built on independence and divide-and-conquer. He also recounts fitting a program onto a single punch card.

A roughly 3.7-hour Lex Fridman podcast with Pieter Levels, the solo developer behind over 40 startups. They discuss programming, viral AI products, indie hacking and digital nomad life.

A two-hour extended interview in which Crash Bandicoot co-creator Andy Gavin tells how he and Jason Rubin built the game at Naughty Dog. It includes the custom Lisp tools used.

A demonstration of Larynx, an offline open source neural text-to-speech system supporting nine languages. The video itself is narrated with a Larynx-generated voice.

Isaac Yonemoto's ElixirConf 2021 talk on Zigler, a library for writing Elixir NIFs in Zig. He looks at its internals and how it bridges the two languages while keeping the NIFs well behaved on the BEAM.

The Signal Path takes apart a Starlink dish layer by layer, analyzing the phased array RF design, system architecture and integrated circuits, with an X-ray of the RF stack.

FOSDEM 2020 talk from Collabora on pressure-vessel, an experimental mechanism that puts Steam games in containers on Linux. It covers using namespaces to give games their own runtime library stack independent of the host.

Lars Bergstrom of Google presents how Rust improves team productivity beyond safety and speed, with data on rewrites, defects and review. It compares Rust teams to those on legacy native languages and Go.

A short parody sketch of a job interview with a senior JavaScript developer, poking fun at the JS ecosystem and trendy stacks.

An open Q&A with Python creator Guido van Rossum hosted by Microsoft Reactor, covering his career, PyCon's origins and his opinions on other languages.

Tesla's 2021 AI Day presentation covering vision, planning and control, auto-labeling, simulation, the Dojo training hardware and the Tesla Bot announcement, followed by a Q&A.

Tom Scott explains why subtitles often differ from dubbed dialogue, covering how translation, timing and reading speed shape each. It features translators and voice talent working in several languages.

Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.