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Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #211:13:06

Chris Lattner: Compilers, LLVM, Swift, TPU, and ML Accelerators | Lex Fridman Podcast #21

200K views • 7 years ago
Lex Fridman
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.
Ray Summit 2022 - Day 1 Keynote - Fireside Chat18:22

Ray Summit 2022 - Day 1 Keynote - Fireside Chat

6K views • 4 years ago
Anyscale
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.
Topic match · Machine learning & deep learning
Mojo Lang - Tomorrow's High Performance Python? (with Chris Lattner)1:24:39

Mojo Lang - Tomorrow's High Performance Python? (with Chris Lattner)

64K views • 2 years ago
Developer Voices
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.
Jim Keller: Moore's Law, Microprocessors, and First Principles | Lex Fridman Podcast #701:34:44

Jim Keller: Moore's Law, Microprocessors, and First Principles | Lex Fridman Podcast #70

742K views • 6 years ago
Lex Fridman
Lex Fridman interviews legendary chip architect Jim Keller about Moore's Law, microprocessor design, and first-principles thinking. Keller draws on his work at AMD, Apple, Tesla and Intel, discussing instruction sets, transistor budgets, and self-driving.
Topic match · Semiconductors & chip manufacturing
Joe Armstrong & Alan Kay - Joe Armstrong interviews Alan Kay1:16:55

Joe Armstrong & Alan Kay - Joe Armstrong interviews Alan Kay

76K views • 9 years ago
Erlang Solutions
Joe Armstrong, creator of Erlang, interviews Alan Kay at Code Mesh. They discuss the meaning of object orientation, message passing, the META II paper, and the state of computer science.
Topic match · Functional programming
Hewitt, Meijer and Szyperski: The Actor Model (everything you wanted to know...)42:34

Hewitt, Meijer and Szyperski: The Actor Model (everything you wanted to know...)

131K views • 13 years ago
jasonofthel33t
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.
Topic match · Functional programming
Why Greatness Cannot Be Planned — Kenneth Stanley2:46:27

Why Greatness Cannot Be Planned — Kenneth Stanley

154K views • 5 years ago
Machine Learning Street Talk
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.
Topic match · Machine learning & deep learning
Anders Hejlsberg and Lars Bak: TypeScript, JavaScript, and Dart43:14

Anders Hejlsberg and Lars Bak: TypeScript, JavaScript, and Dart

14K views • 13 years ago
DartlangTV
A Channel 9 conversation recorded at GOTO 2012 between Anders Hejlsberg (TypeScript) and Lars Bak (Dart). They discuss the two languages and different approaches to making JavaScript development safer, including runtime type checking.
Topic match · Web development
Expert to Expert: Rich Hickey and Brian Beckman - Inside Clojure53:56

Expert to Expert: Rich Hickey and Brian Beckman - Inside Clojure

119K views • 13 years ago
jasonofthel33t
A Channel 9 Going Deep interview in which Brian Beckman talks with Rich Hickey, creator of Clojure, about the language's design. It covers Clojure's persistent data structures, reference types and its approach to concurrency on the JVM.
Topic match · Functional programming
[7] Jim Keller, Silicon Wizard 🧙‍♂️1:37:12

[7] Jim Keller, Silicon Wizard 🧙‍♂️

67K views • 5 years ago
TechTechPotato
Ian Cutress interviews chip architect Jim Keller about his time at AMD, Intel and elsewhere, management advice, design approach, Moore's Law and x86 versus Arm.
Topic match · Semiconductors & chip manufacturing
Morris Chang, in conversation with Jen-Hsun Huang1:31:41

Morris Chang, in conversation with Jen-Hsun Huang

159K views • 18 years ago
Computer History Museum
A 2007 Computer History Museum conversation in which Nvidia CEO Jen-Hsun Huang interviews TSMC founder Morris Chang. Chang recounts his career and the creation of the dedicated silicon foundry model.
Topic match · Semiconductors & chip manufacturing
Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #252:09:42

Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #25

329K views • 7 years ago
Lex Fridman
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.
Topic match · Machine learning & deep learning
Crash Bandicoot Co-Creator Andy Gavin: Extended Interview | Ars Technica2:13:40

Crash Bandicoot Co-Creator Andy Gavin: Extended Interview | Ars Technica

246K views • 6 years ago
Ars Technica
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.
Topic match · Functional programming
Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development1:48:12

Geoffrey Hinton in conversation with Fei-Fei Li — Responsible AI development

226K views • 2 years ago
Arts & Science - University of Toronto
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.
Topic match · Machine learning & deep learning
Simon Peyton Jones - Haskell is useless6:23

Simon Peyton Jones - Haskell is useless

385K views • 14 years ago
bunidanoable
A short clip of Simon Peyton Jones talking about the future of programming languages, saying Haskell is useless in the sense that pure programs cannot have effects, while mainstream languages are useful but unsafe. He describes languages converging, with ideas such as STM and LINQ moving between them.
Topic match · Functional programming
Full interview: "Godfather of artificial intelligence" talks impact and potential of AI42:30

Full interview: "Godfather of artificial intelligence" talks impact and potential of AI

2M views • 3 years ago
CBS Mornings
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.
Topic match · Machine learning & deep learning
Moore's Law is Not Dead (Jim Keller) | AI Podcast Clips26:02

Moore's Law is Not Dead (Jim Keller) | AI Podcast Clips

172K views • 6 years ago
Lex Fridman
A clip from Lex Fridman's podcast in which chip architect Jim Keller argues that Moore's Law is not dead and that transistor scaling still has lots of room. He also discusses how to break down hard problems.
Topic match · Semiconductors & chip manufacturing
Interview with Steve Yegge on Rhino on Rails and more25:17

Interview with Steve Yegge on Rhino on Rails and more

34K views • 18 years ago
Google for Developers
Steve Yegge is interviewed at Google's Kirkland office about the birth, growth and future of his Rhino on Rails project, a Rails clone on the Rhino JavaScript engine, and other web development topics.
Topic match · Web development
Richard Sutton – Father of RL thinks LLMs are a dead end1:07:09

Richard Sutton – Father of RL thinks LLMs are a dead end

804K views • 1 year ago
Dwarkesh Patel
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.
Topic match · Machine learning & deep learning
Matt Talks About WordPress Situation27:01

Matt Talks About WordPress Situation

211K views • 2 years ago
The PrimeTime
Matt Mullenweg joins ThePrimeagen's Twitch stream to discuss the WordPress and WP Engine dispute, including trademark use and contributions.
Topic match · Web development
Blink Questions Answered31:31

Blink Questions Answered

35K views • 13 years ago
Google for Developers
A Google Developers Q&A in which Blink engineering leads and the PM answer the community's top questions about the new Blink rendering engine forked from WebKit.
Topic match · Web development
Andrej Karpathy — “We’re summoning ghosts, not building animals”2:26:08

Andrej Karpathy — “We’re summoning ghosts, not building animals”

1.4M views • 1 year ago
Dwarkesh Patel
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.
Topic match · Machine learning & deep learning
Steve Jobs on the Post PC era2:21

Steve Jobs on the Post PC era

40K views • 13 years ago
smlierow
A short clip of Steve Jobs at the D8 conference discussing the post-PC era, including his analogy of PCs as trucks that will remain for a minority of users.
Joe Biden on Defending Democracy59:50

Joe Biden on Defending Democracy

820K views • 8 years ago
Council on Foreign Relations
A Council on Foreign Relations event where Joe Biden and Michael Carpenter discuss their Foreign Affairs article on defending democracy against Kremlin interference.