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1:09:44EN
No Priors: AI, Machine Learning, Tech, & Startups· 2026年10月9日播客 · 2 人对谈10,000 GB300s for Four Weeks: Reflection’s Open-Model Ledger主持 Sarah Guo, Elad GilMisha Laskin tells No Priors how Reflection trained Beam, why reinforcement learning outspent pre-training, and why the West needs its own open weights.开源与社区Open-weight modelsReinforcement Learning+3
4:18:22EN
Lex Fridman· 2026年5月6日播客 · 2 人对谈Every Cycle Matters: The Volunteers Who Decode Almost All Internet Video嘉宾 FFmpeg · 主持 Lex FridmanLex Fridman talks with Jean-Baptiste Kempf and Kieran Kunhya about FFmpeg, VLC, handwritten assembly, and the unpaid crew behind YouTube, Netflix, and a rover on Mars.开源与社区Open-source ecosystemsSoftware engineering+3
44:46EN
Sequoia Capital· 2026年2月10日播客A Single Training Environment Can Cost Millions. Prime Intellect Wants a GitHub for RLWill Brown and Johannes Hagemann argue that the eval suite you already use to test agents is one step away from a training set.开源与社区RL environments & simulators评估+3
43:09EN
Sequoia Capital· 2025年9月9日播客A $100 Arm and a $300 Robot: Hugging Face Wants an App Store for Physical AIThomas Wolf tells Sequoia's Training Data why LeRobot, cheap hardware, and open datasets are Hugging Face's bet that software developers can become roboticists.开源与社区RoboticsOpen-source ecosystems+2
6:08:48EN
Lex Fridman· 2025年7月12日播客 · 2 人对谈Nobody Serious Believes Cookie Banners Help Anyone嘉宾 DHH · 主持 Lex FridmanLex Fridman talks with David Heinemeier Hansson for six hours about Ruby, Rails, AI, leaving the cloud, Apple's App Store, and why a small company can still refuse other people's money.开源与社区Software engineeringProgramming Languages+3
5:20:08EN
Lex Fridman· 2025年3月22日播客 · 2 人对谈ThePrimeagen Would Rather Redesign the Room Than Trust Willpower嘉宾 ThePrimeagen · 主持 Lex FridmanLex Fridman talks with Michael Paulson about linked lists, Netflix, Neovim, ADHD, addiction, AI, and the night he says God gave him a conscience.开源与社区编程智能体Developer productivity+3
42:08EN
Sequoia Capital· 2024年7月30日播客Meta Trained a 405B Teacher on 16,000 GPUs — Then Told the World to Distill ItTwo days after Llama 3.1 405B shipped, Meta's generative-AI product lead walks Sequoia through why the most expensive model in the family is free, and why he thinks the frontier itself is heading toward commodity.开源与社区Open-weight modelsDistillation+3
32:57EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年11月9日播客 · 2 人对谈A 7-billion-parameter model on a MacBook: Mistral's CEO reruns the cost of AI主持 Sarah Guo, Elad GilArthur Mensch tells No Priors why Chinchilla made small models valuable, why open-sourcing Mistral 7B is not a bioweapon risk, and why guardrails belong on the application.开源与社区Open-source ecosystemsOpen-weight models+3
1:01:09EN
Cognitive Revolution "How AI Changes Everything"· 2023年8月31日播客Hugging Face Raised $235M. Community Still Is Not a Moat主持 Nathan LabenzNathan Labenz and Erik Torenberg unpack Hugging Face's $4.5 billion Series D, and why a thriving open-source hub may still struggle to become a locked-in business.开源与社区Company BuildingOpen-source ecosystems+3
3:08:46EN
Lex Fridman· 2023年6月29日播客 · 2 人对谈Who owns the off switch? George Hotz on tinygrad, open-source AI, and God嘉宾 George Hotz · 主持 Lex FridmanOn his third Lex Fridman podcast, the comma.ai and tiny corp founder argues that compute, intelligence, and the off switch should live in people's houses, not in a trusted few.开源与社区基础设施与部署Open-source ecosystems+3
3:15:07EN
Lex Fridman· 2023年6月18日播客 · 2 人对谈Wikipedia Worked Once Writing Stopped Feeling Like Grad School嘉宾 Jimmy Wales · 主持 Lex FridmanJimmy Wales tells Lex Fridman how Nupedia's seven-stage review died, why Wikipedia still refuses ads and governments, and what large language models should actually do with an encyclopedia.开源与社区Open-source ecosystemsFree Speech+3
2:07:04EN
Lex Fridman· 2023年5月28日播客 · 2 人对谈The Ribosome Already Solved Digital Manufacturing嘉宾 Neil Gershenfeld · 主持 Lex FridmanNeil Gershenfeld tells Lex Fridman why Turing separated the head from the tape, how fab labs are the personal-computer moment for making things, and what it would take to grow a civilization from about twenty parts.开源与社区RoboticsAI research+3
37:26EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月23日播客 · 2 人对谈Without Open Source, Machine Learning Would Be Decades Behind主持 Sarah Guo, Elad GilHugging Face CEO Clem Delangue on the Tamagotchi pivot, why the company never hired a community manager, and why he does not believe one model will rule them all.开源与社区Open-source ecosystemsOpen-weight models+3
45:03EN
No Priors: AI, Machine Learning, Tech, & Startups· 2023年2月16日播客 · 2 人对谈Emad Mostaque’s bet: open small models, not one giant brain主持 Sarah Guo, Elad GilStability AI’s founder tells No Priors why foundation models should be public infrastructure, why small models can beat giant ones, and what that means for media, medicine, and AGI.开源与社区Open-weight modelsMultimodal AI+3
3:15:51EN
Lex Fridman· 2022年11月26日播客 · 2 人对谈Python Is a Recipe Written for Two Readers嘉宾 Guido van Rossum · 主持 Lex FridmanGuido van Rossum on CPython’s 3.11 speedups, indentation, the GIL, and why a 4.0 would hurt extensions more than syntax.开源与社区Software engineeringProgramming Languages+3
2:46:40EN
Lex Fridman· 2021年12月23日播客 · 2 人对谈The Tools That Fit in a Head Were Built by People Who Fit in a Van嘉宾 Peter Wang · 主持 Lex FridmanAnaconda's Peter Wang talks with Lex Fridman about Python, cybernetic systems, and why sharing software creates value that scarcity economics still cannot price.开源与社区Open-source ecosystemsProgramming Languages+3
3:05:24EN
Lex Fridman· 2021年9月22日播客 · 2 人对谈Travis Oliphant wrote NumPy in an empty semester — and still wants open source to pay嘉宾 Travis Oliphant · 主持 Lex FridmanThe creator of NumPy, SciPy, and Anaconda tells Lex Fridman how array thinking, a priced book, and the packaging wars shaped scientific Python.开源与社区Open-source ecosystemsSoftware engineering+3
2:21:27EN
Lex Fridman· 2021年9月9日播客 · 2 人对谈The IBM Manual Was So Bad He Became a Computer Scientist嘉宾 Donald Knuth · 主持 Lex FridmanDonald Knuth talks with Lex Fridman about first programs on an IBM 650, literate programming, the Knuth-Morris-Pratt algorithm, and the hardest theorem he ever proved.开源与社区Software engineeringFirst Principles+3
2:54:52EN
Lex Fridman· 2021年8月8日播客The Marvelous Proof Still Lives in the Margin主持 Lex FridmanLuís and João Batalha, the brothers behind Fermat's Library, talk with Lex Fridman about hidden backstories, a publishing system that buys its own work twice, and how to sit with a paper until it finally clicks.开源与社区Science CommunicationPhilosophy of Science+2
3:03:38EN
Lex Fridman· 2021年2月12日播客 · 2 人对谈A Ten-Day Language That Still Runs the Web嘉宾 Brendan Eich · 主持 Lex FridmanBrendan Eich tells Lex Fridman how JavaScript, Firefox, Mozilla, and Brave were built from rushed bets, open-source escape pods, and accidental tracking.开源与社区Programming LanguagesOpen-source ecosystems+3
1:51:01EN
Lex Fridman· 2020年9月24日播客 · 2 人对谈James Gosling Built Java to Make Pointer Bugs Impossible. Chrome Still Has Them.嘉宾 James Gosling · 主持 Lex FridmanIn a 2020 conversation with Lex Fridman, Java’s designer traces a line from a neglected PDP-8 to Emacs, the JVM, and a thirty-year war on memory errors.开源与社区Programming LanguagesSoftware engineering+3
1:43:10EN
Lex Fridman· 2020年7月18日播客 · 2 人对谈Ken Thompson's Wife Left for Three Weeks. He Wrote Unix.嘉宾 Brian Kernighan · 主持 Lex FridmanBrian Kernighan walks Lex Fridman through Bell Labs, C, AWK, AMPL, and a lifetime of tools that millions of people still run — including all of his mistakes.开源与社区Programming LanguagesOpen-source ecosystems+2
1:47:13EN
Lex Fridman· 2019年11月7日播客 · 2 人对谈When You Hit the Brakes, a Computer Is in the Way嘉宾 Bjarne Stroustrup · 主持 Lex FridmanBjarne Stroustrup on why C++ still sits between the pedal and the pads, and why an abstraction that costs extra has no place in the language.开源与社区Programming LanguagesSoftware engineering+1
1:10:58EN
Lex Fridman· 2019年6月3日播客 · 2 人对谈The Hadoop Lesson That Made Google Give TensorFlow Away嘉宾 Rajat Monga · 主持 Lex FridmanIn November 2015, Google put its core internal machine-learning system on GitHub. Rajat Monga explains why a company of that size would hand over the hard-to-copy part.开源与社区Open-source ecosystemsCommunity building+3
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