mach-e

A Computer History Museum oral history with Avie Tevanian covering his math talent, work on the Mach microkernel at CMU, joining NeXT, leading NEXTSTEP development and the 1996 Apple acquisition.

A long Machine Learning Street Talk interview with Kenneth Stanley, creator of NEAT and novelty search, about his book on why greatness cannot be planned. They discuss open-endedness, the tyranny of objectives, serendipity and the evolution of ideas.

Lex Fridman interviews Jeff Hawkins, founder of Numenta and author of On Intelligence, about the Thousand Brains Theory and reverse-engineering the neocortex. They also cover Hierarchical Temporal Memory and brain-inspired AI architectures.

Daniel Schmachtenberger discusses why the information ecology is damaged and what healthy public sensemaking would take. The conversation ties this to the meaning crisis and to improving discourse.

A 2023 University of Toronto conversation between Geoffrey Hinton and Fei-Fei Li on responsible AI development. They look back at the history of deep learning and ImageNet and discuss the ethics and risks of AI.

A 42-minute CBS interview with Geoffrey Hinton at the Vector Institute in 2023, covering the history of neural networks and the present and future of AI. He discusses AGI timelines and whether language models truly understand.

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.

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.

Dwarkesh Patel interviews Andrej Karpathy on why reinforcement learning is flawed, why AGI may blend into steady GDP growth, why self-driving took so long, and the future of education. The conversation runs about two and a half hours.

Numberphile visits Cliff Stoll, the man behind ACME Klein Bottles, and sees how he stores a thousand glass Klein bottles in a crawlspace under his house. A remote-controlled forklift fetches them.

A standing whiteboard conversation at Lang.NEXT 2012 among Carl Hewitt, Erik Meijer and Clemens Szyperski about the actor model. Hewitt, who originated the model, explains its foundations.

An Autoline After Hours episode where Sandy Munro discusses his complete teardown of the BMW i3, along with automotive journalists. It covers the car's carbon fiber construction and manufacturing technology.

A long Lex Fridman interview with Stephen Wolfram on complexity, cellular automata, computational irreducibility and the Wolfram Physics Project.

Sandy Munro interviews Elon Musk at Boca Chica about Tesla production, mega-castings, seats, structural battery packs and the difficulty of mass production.

Part two of a Computer History Museum oral history with Gary Davidian, covering his work on the 68000 emulator for PowerPC at Apple, Power Computing, clean-room contracting and later performance optimization work. It is nearly three hours long.

Sandy Munro and Cory discuss how Tesla Model 3 and Model Y bodies in white have evolved over five years, including giga castings and lean design.

A Dutch Top 2000 a gogo segment in which Norman Cook (Fatboy Slim) explains how The Rockafeller Skank is built, in his studio. The studio shows a long-running Atari ST setup.

Lex Fridman interviews Chris Lattner, creator of LLVM, Clang and Swift, about compilers, Swift for TensorFlow, TPUs and ML accelerators. The talk covers how hardware and software meet to produce efficient code.

Grady Booch interviews John Backus, who led the IBM team that created FORTRAN in 1957, for the Computer History Museum in 2006. Backus describes the development of the first successful high-level language and its compiler. The interview runs 88 minutes.

An interview with Anders Hejlsberg, lead architect of TypeScript, about porting the TypeScript compiler to Go. He covers the 10x type-checking speedup, lower memory use, and why Go was chosen.

Tim Dodd of Everyday Astronaut gets a close-up walkthrough of SpaceX's Raptor 2 engine from Elon Musk at Starbase. They cover how Raptor 2 was simplified and upgraded relative to Raptor 1, including cooling and thrust vectoring details.

John Conway talks in a short Numberphile interview about his mixed feelings toward the Game of Life, his most famous invention. He says he is not especially pleased that it overshadowed his other work.

Developer Voices interviews Chris Lattner about Mojo, a Python-compatible language aimed at CPU/GPU performance built on LLVM and MLIR. It covers performance features, the type system and why Mojo uses Python syntax.

Engineer Sandy Munro joins an Autoline panel for a 100-minute deep dive on Tesla's design and manufacturing, including the Model 3 and its motors.

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.

A short clip from an ACM and Computer History Museum interview in which Leslie Lamport discusses writing his paper on time, clocks and the ordering of events. He explains its link to special relativity.

Dwarkesh Patel interviews Google's Jeff Dean and Noam Shazeer about 25 years at the company, from PageRank and MapReduce to the Transformer, mixture of experts and Gemini. They also discuss where AI is heading.

ThePrimeagen interviews Chris Lattner, creator of LLVM, Clang, Swift and Mojo, with TJ DeVries, in a long live-streamed conversation. They discuss language design and Lattner's experience building Swift.

A 1985 interview by G. Edward Griffin with former KGB operative Yuri Bezmenov. He describes long-running Soviet efforts at ideological subversion and manipulation of US public opinion.

A BSD Now episode featuring a long interview with Joyent CTO Bryan Cantrill on dtrace, ZFS, pkgsrc, containers and more. It includes his rant on why Linux epoll is flawed and stories from Sun.

Sandy Munro sits down with engineers from 3IS to compare the electrical architectures of the Tesla Model Y, Ford Mach-E and VW ID.4. They discuss ECU counts, bus architectures and what the differences mean for cost and integration.

Freeman Dyson recounts how Enrico Fermi rejected his team's meson scattering model, noting that it had too many free parameters. It is the source of the quote about fitting an elephant.