正在加载视频...

视频加载失败

返回首页

Here's my 6 hour conversation with DHH, a legendary programmer, creator of Ruby on Rails, author, and race car driver. This was a fun and inspiring conversation on everything from the future of programming & AI to the nature of happiness & productivity to the value of family, getting...

lexfridman's profile picture

Lex Fridman

5,305,905 subscribers

4,459,096 次观看 • 1 年前 •via X (Twitter)

科学技术教育喜剧
LIVE

Anya Rossi• Live Now

Private livecam show

10 条评论

Lex Fridman 的头像
Lex Fridman1 年前

Here's the links for my conversation with @dhh: YouTube: Spotify: Podcast:

Sophia McIntosh 的头像
Sophia McIntosh1 年前

@dhh love how passionate he sounds about the cookie banners. i hate them too lol

Luke 的头像
Luke1 年前

@dhh A 6+ hour convo with the creator of Ruby. Lex is really one step ahead of everyone.

Reply Guy 的头像
Reply Guy1 年前

@dhh I’m not watching a 6-hour podcast, brother. I have a life to live.

Simon 的头像
Simon1 年前

@dhh DHH always brings a perspective that’s both technical and philosophical. Can’t wait to dive in.

boisselle 的头像
boisselle1 年前

@dhh Epic! You’ve been having some legenda on the show lately.

David Rezkalla 的头像
David Rezkalla1 年前

@dhh How do you guys raw dog 6 hours like that? You guys gotta eat? Take a break? I can’t imagine talking to someone for 6 hours straight. Mad respect

Gabi 的头像
Gabi1 年前

@dhh 6 hours??

Y.Stan 𐤊τ 的头像
Y.Stan 𐤊τ1 年前

@dhh 6 hours? That’s not a podcast, that’s a pilgrimage.

Y.Stan 𐤊τ 的头像
Y.Stan 𐤊τ1 年前

@dhh When two high-IQ minds talk, you just press play and shut up.

相关视频

Here's my conversation with Tim Sweeney (Tim Sweeney), a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbreaking and influential video games. It's here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 3:06 - Introduction 3:39 - 10,000 hours programming 6:56 - Advice for young programmers 15:07 - Video games in the 80s and 90s 17:16 - Epic Games origin story 29:54 - Indie game development 35:47 - Unreal Engine 1:01:44 - Technical details of Unreal Engine 1:06:36 - Constructive solid geometry 1:12:35 - Dynamic lighting 1:17:05 - Volumetric fog 1:20:32 - John Carmack 1:22:19 - Evolution of Unreal Engine 1:28:34 - Unreal Engine 5 1:39:45 - Creating realistic humans 1:48:54 - Lumen global illumination 1:53:24 - Movies 2:08:06 - Simulating reality 2:20:21 - Metaverse 2:22:57 - Fortnite 2:26:53 - Scaling 2:42:17 - Game economies 2:43:46 - Standardizing the Metaverse 2:51:59 - Verse programming language 3:13:32 - Concurrency 3:21:09 - Unreal Engine 6 3:25:47 - Indie game developers 3:28:45 - Apple 3:43:25 - Epic Games Store 4:06:16 - Future of gaming 4:12:16 - Greatest games ever made 4:17:53 - GTA 6 and Rockstar Games 4:21:12 - Hope for the future
4:25:18

Here's my conversation with Tim Sweeney (Tim Sweeney), a legendary video game programmer, founder and CEO of Epic Games that created the Unreal Engine, Fortnite, Gears of War, Unreal Tournament, and many other groundbreaking and influential video games. It's here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 3:06 - Introduction 3:39 - 10,000 hours programming 6:56 - Advice for young programmers 15:07 - Video games in the 80s and 90s 17:16 - Epic Games origin story 29:54 - Indie game development 35:47 - Unreal Engine 1:01:44 - Technical details of Unreal Engine 1:06:36 - Constructive solid geometry 1:12:35 - Dynamic lighting 1:17:05 - Volumetric fog 1:20:32 - John Carmack 1:22:19 - Evolution of Unreal Engine 1:28:34 - Unreal Engine 5 1:39:45 - Creating realistic humans 1:48:54 - Lumen global illumination 1:53:24 - Movies 2:08:06 - Simulating reality 2:20:21 - Metaverse 2:22:57 - Fortnite 2:26:53 - Scaling 2:42:17 - Game economies 2:43:46 - Standardizing the Metaverse 2:51:59 - Verse programming language 3:13:32 - Concurrency 3:21:09 - Unreal Engine 6 3:25:47 - Indie game developers 3:28:45 - Apple 3:43:25 - Epic Games Store 4:06:16 - Future of gaming 4:12:16 - Greatest games ever made 4:17:53 - GTA 6 and Rockstar Games 4:21:12 - Hope for the future

Lex Fridman

937,760 次观看 • 1 年前

Here's my conversation with ThePrimeagen, a programmer who has educated, entertained, and inspired millions of people to build software and have fun doing it. It's here on X in full, and is up everywhere else too (see comment). Timestamps: 0:00 - Introduction 0:42 - Love for programming 10:15 - Hardest part of programming 12:31 - Types of programming 20:08 - Life story 30:12 - Hardship 31:44 - High school 37:30 - Porn addiction 47:16 - God 1:02:59 - Perseverance 1:12:55 - Netflix 1:25:23 - Groovy 1:30:27 - Printf() debugging 1:36:49 - Falcor 1:46:19 - Breaking production 1:49:04 - Pieter Levels 1:53:34 - Netflix, Twitch, and YouTube infrastructure 2:05:36 - ThePrimeagen origin story 2:20:52 - Learning programming languages 2:29:55 - Best programming languages in 2025 2:34:50 - Python 2:35:30 - HTML & CSS 2:36:20 - Bash 2:37:00 - FFmpeg 2:43:42 - Performance 2:46:15 - Rust 2:51:03 - Epic projects 3:04:27 - Asserts 3:13:41 - ADHD 3:21:49 - Productivity 3:26:13 - Programming setup 4:01:43 - Coffee 4:08:47 - Programming with AI 4:51:31 - Advice for young programmers 5:03:03 - Reddit questions 5:10:35 - God
5:20:10

Here's my conversation with ThePrimeagen, a programmer who has educated, entertained, and inspired millions of people to build software and have fun doing it. It's here on X in full, and is up everywhere else too (see comment). Timestamps: 0:00 - Introduction 0:42 - Love for programming 10:15 - Hardest part of programming 12:31 - Types of programming 20:08 - Life story 30:12 - Hardship 31:44 - High school 37:30 - Porn addiction 47:16 - God 1:02:59 - Perseverance 1:12:55 - Netflix 1:25:23 - Groovy 1:30:27 - Printf() debugging 1:36:49 - Falcor 1:46:19 - Breaking production 1:49:04 - Pieter Levels 1:53:34 - Netflix, Twitch, and YouTube infrastructure 2:05:36 - ThePrimeagen origin story 2:20:52 - Learning programming languages 2:29:55 - Best programming languages in 2025 2:34:50 - Python 2:35:30 - HTML & CSS 2:36:20 - Bash 2:37:00 - FFmpeg 2:43:42 - Performance 2:46:15 - Rust 2:51:03 - Epic projects 3:04:27 - Asserts 3:13:41 - ADHD 3:21:49 - Productivity 3:26:13 - Programming setup 4:01:43 - Coffee 4:08:47 - Programming with AI 4:51:31 - Advice for young programmers 5:03:03 - Reddit questions 5:10:35 - God

Lex Fridman

1,139,667 次观看 • 1 年前

Here's my conversation with Demis Hassabis, CEO of Google DeepMind, all about the future of AI & AGI, simulating biology & physics, video games, programming, video generation, world models, Gemini 3, scaling laws, compute, P vs NP, complexity, energy (solar & fusion), and much more. This was a fun & fascinating super-technical conversation. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:06 - Learnable patterns in nature 5:48 - Computation and P vs NP 14:26 - Veo 3 and understanding reality 18:50 - Video games 30:52 - AlphaEvolve 36:53 - AI research 41:17 - Simulating a biological organism 46:00 - Origin of life 52:15 - Path to AGI 1:03:01 - Scaling laws 1:06:17 - Compute 1:09:04 - Future of energy 1:13:00 - Human nature 1:17:54 - Google and the race to AGI 1:35:53 - Competition and AI talent 1:42:27 - Future of programming 1:48:53 - John von Neumann 1:58:07 - p(doom) 2:02:50 - Humanity 2:05:56 - Consciousness and quantum computation 2:12:06 - David Foster Wallace 2:19:20 - Education and research
2:28:14

Here's my conversation with Demis Hassabis, CEO of Google DeepMind, all about the future of AI & AGI, simulating biology & physics, video games, programming, video generation, world models, Gemini 3, scaling laws, compute, P vs NP, complexity, energy (solar & fusion), and much more. This was a fun & fascinating super-technical conversation. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:06 - Learnable patterns in nature 5:48 - Computation and P vs NP 14:26 - Veo 3 and understanding reality 18:50 - Video games 30:52 - AlphaEvolve 36:53 - AI research 41:17 - Simulating a biological organism 46:00 - Origin of life 52:15 - Path to AGI 1:03:01 - Scaling laws 1:06:17 - Compute 1:09:04 - Future of energy 1:13:00 - Human nature 1:17:54 - Google and the race to AGI 1:35:53 - Competition and AI talent 1:42:27 - Future of programming 1:48:53 - John von Neumann 1:58:07 - p(doom) 2:02:50 - Humanity 2:05:56 - Consciousness and quantum computation 2:12:06 - David Foster Wallace 2:19:20 - Education and research

Lex Fridman

1,455,923 次观看 • 1 年前

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming
2:28:55

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Lex Fridman

1,261,340 次观看 • 1 年前

Here's my conversation with Dario Amodei, CEO of Anthropic, the company that created Claude, one of the best AI systems in the world. We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity. It's a 5+ hour conversation in total. Amanda Askell and Chris Olah (Chris Olah) join us for an hour each to talk about Claude's character and mechanistic interpretability, respectively. This was a fascinating, wide-ranging, super-technical, and fun conversation! First 4 hours are here on X (4 hours is current limit), and is up on everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 3:14 - Scaling laws 12:20 - Limits of LLM scaling 20:45 - Competition with OpenAI, Google, xAI, Meta 26:08 - Claude 29:44 - Opus 3.5 34:30 - Sonnet 3.5 37:50 - Claude 4.0 42:02 - Criticism of Claude 54:49 - AI Safety Levels 1:05:37 - ASL-3 and ASL-4 1:09:40 - Computer use 1:19:35 - Government regulation of AI 1:38:24 - Hiring a great team 1:47:14 - Post-training 1:52:39 - Constitutional AI 1:58:05 - Machines of Loving Grace 2:17:11 - AGI timeline 2:29:46 - Programming 2:36:46 - Meaning of life 2:42:53 - Amanda Askell - Philosophy 2:45:21 - Programming advice for non-technical people 2:49:09 - Talking to Claude 3:05:41 - Prompt engineering 3:14:15 - Post-training 3:18:54 - Constitutional AI 3:23:48 - System prompts 3:29:54 - Is Claude getting dumber? 3:41:56 - Character training 3:42:56 - Nature of truth 3:47:32 - Optimal rate of failure 3:54:43 - AI consciousness 4:09:14 - AGI 4:17:52 - Chris Olah - Mechanistic Interpretability 4:22:44 - Features, Circuits, Universality 4:40:17 - Superposition 4:51:16 - Monosemanticity 4:58:08 - Scaling Monosemanticity 5:06:56 - Macroscopic behavior of neural networks 5:11:50 - Beauty of neural networks
3:58:08

Here's my conversation with Dario Amodei, CEO of Anthropic, the company that created Claude, one of the best AI systems in the world. We talk about scaling, AI safety, regulation, and a lot of super technical details about the present and future of AI and humanity. It's a 5+ hour conversation in total. Amanda Askell and Chris Olah (Chris Olah) join us for an hour each to talk about Claude's character and mechanistic interpretability, respectively. This was a fascinating, wide-ranging, super-technical, and fun conversation! First 4 hours are here on X (4 hours is current limit), and is up on everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 3:14 - Scaling laws 12:20 - Limits of LLM scaling 20:45 - Competition with OpenAI, Google, xAI, Meta 26:08 - Claude 29:44 - Opus 3.5 34:30 - Sonnet 3.5 37:50 - Claude 4.0 42:02 - Criticism of Claude 54:49 - AI Safety Levels 1:05:37 - ASL-3 and ASL-4 1:09:40 - Computer use 1:19:35 - Government regulation of AI 1:38:24 - Hiring a great team 1:47:14 - Post-training 1:52:39 - Constitutional AI 1:58:05 - Machines of Loving Grace 2:17:11 - AGI timeline 2:29:46 - Programming 2:36:46 - Meaning of life 2:42:53 - Amanda Askell - Philosophy 2:45:21 - Programming advice for non-technical people 2:49:09 - Talking to Claude 3:05:41 - Prompt engineering 3:14:15 - Post-training 3:18:54 - Constitutional AI 3:23:48 - System prompts 3:29:54 - Is Claude getting dumber? 3:41:56 - Character training 3:42:56 - Nature of truth 3:47:32 - Optimal rate of failure 3:54:43 - AI consciousness 4:09:14 - AGI 4:17:52 - Chris Olah - Mechanistic Interpretability 4:22:44 - Features, Circuits, Universality 4:40:17 - Superposition 4:51:16 - Monosemanticity 4:58:08 - Scaling Monosemanticity 5:06:56 - Macroscopic behavior of neural networks 5:11:50 - Beauty of neural networks

Lex Fridman

1,375,575 次观看 • 1 年前

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community
3:15:51

Here's my conversation with Peter Steinberger (Peter Steinberger 🦞), creator of OpenClaw, an open-source AI agent that has taken the Internet by storm, with now over 180,000 stars on GitHub. This was a truly mind-blowing, inspiring, and fun conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:30 - Introduction 5:36 - OpenClaw origin story 8:55 - Mind-blowing moment 18:22 - Why OpenClaw went viral 22:19 - Self-modifying AI agent 27:04 - Name-change drama 44:15 - Moltbook saga 52:34 - OpenClaw security concerns 1:01:14 - How to code with AI agents 1:32:09 - Programming setup 1:38:52 - GPT Codex 5.3 vs Claude Opus 4.6 1:47:59 - Best AI agent for programming 2:09:59 - Life story and career advice 2:13:56 - Money and happiness 2:17:49 - Acquisition offers from OpenAI and Meta 2:34:58 - How OpenClaw works 2:46:17 - AI slop 2:52:20 - AI agents will replace 80% of apps 3:00:57 - Will AI replace programmers? 3:12:57 - Future of OpenClaw community

Lex Fridman

2,056,546 次观看 • 6 个月前

Here's my 4-hour conversation with Marc Andreessen (Marc Andreessen 🇺🇸), where we discuss a positive vision for the future of America, given the many challenges we face. We talk about the state of the tech industry, the heated AI race, immigration, power & corruption in politics, and of course, most importantly, the critical role of humor and memes to the progress of human civilization. It's here on X in full, and is up everywhere else too. Links in comment. Timestamps: 0:00 - Introduction 1:09 - Best possible future 10:32 - History of Western Civilization 19:51 - Trump in 2025 27:32 - TDS in tech 40:19 - Preference falsification 56:15 - Self-censorship 1:11:18 - Censorship 1:19:57 - Jon Stewart 1:22:43 - Mark Zuckerberg on Joe Rogan 1:31:32 - Government pressure 1:42:19 - Nature of power 1:55:08 - Journalism 2:00:43 - Bill Ackman 2:05:40 - Trump administration 2:13:19 - DOGE 2:27:11 - H1B and immigration 3:05:05 - Little tech 3:17:25 - AI race 3:26:15 - X 3:29:47 - Yann LeCun 3:33:21 - Andrew Huberman 3:34:53 - Success 3:37:49 - God and humanity
3:45:35

Here's my 4-hour conversation with Marc Andreessen (Marc Andreessen 🇺🇸), where we discuss a positive vision for the future of America, given the many challenges we face. We talk about the state of the tech industry, the heated AI race, immigration, power & corruption in politics, and of course, most importantly, the critical role of humor and memes to the progress of human civilization. It's here on X in full, and is up everywhere else too. Links in comment. Timestamps: 0:00 - Introduction 1:09 - Best possible future 10:32 - History of Western Civilization 19:51 - Trump in 2025 27:32 - TDS in tech 40:19 - Preference falsification 56:15 - Self-censorship 1:11:18 - Censorship 1:19:57 - Jon Stewart 1:22:43 - Mark Zuckerberg on Joe Rogan 1:31:32 - Government pressure 1:42:19 - Nature of power 1:55:08 - Journalism 2:00:43 - Bill Ackman 2:05:40 - Trump administration 2:13:19 - DOGE 2:27:11 - H1B and immigration 3:05:05 - Little tech 3:17:25 - AI race 3:26:15 - X 3:29:47 - Yann LeCun 3:33:21 - Andrew Huberman 3:34:53 - Success 3:37:49 - God and humanity

Lex Fridman

813,033 次观看 • 1 年前

Here's my 5-hour conversation with Dylan Patel and Nathan Lambert on DeepSeek, China, OpenAI, NVIDIA, xAI, Google, Anthropic, Meta, Microsoft, TSMC, Stargate, megacluster buildouts, RL, reasoning, and a lot of other topics at the cutting edge of AI. This is was a mind-blowing, super-technical, and fun conversation. Yes, we discuss r1 and o3-mini, but more importantly we look into the future of technology, geopolitics, and humanity in a world that stands on the precipice of a global AI revolution. The first 4 hours are here on X (4 hours is current limit), and the full 5 hours are up everywhere else. Links in comment. Timestamps: 0:00 - Introduction 3:33 - DeepSeek-R1 and DeepSeek-V3 25:07 - Low cost of training 51:25 - DeepSeek compute cluster 58:57 - Export controls on GPUs to China 1:09:16 - AGI timeline 1:18:41 - China's manufacturing capacity 1:26:36 - Cold war with China 1:31:05 - TSMC and Taiwan 1:54:44 - Best GPUs for AI 2:09:36 - Why DeepSeek is so cheap 2:22:55 - Espionage 2:31:57 - Censorship 2:44:52 - Andrej Karpathy and magic of RL 2:55:23 - OpenAI o3-mini vs DeepSeek r1 3:14:31 - NVIDIA 3:18:58 - GPU smuggling 3:25:36 - DeepSeek training on OpenAI data 3:36:04 - AI megaclusters 4:11:26 - Who wins the race to AGI? 4:21:39 - AI agents 4:30:21 - Programming and AI 4:37:49 - Open source 4:47:01 - Stargate 4:54:30 - Future of AI
3:59:56

Here's my 5-hour conversation with Dylan Patel and Nathan Lambert on DeepSeek, China, OpenAI, NVIDIA, xAI, Google, Anthropic, Meta, Microsoft, TSMC, Stargate, megacluster buildouts, RL, reasoning, and a lot of other topics at the cutting edge of AI. This is was a mind-blowing, super-technical, and fun conversation. Yes, we discuss r1 and o3-mini, but more importantly we look into the future of technology, geopolitics, and humanity in a world that stands on the precipice of a global AI revolution. The first 4 hours are here on X (4 hours is current limit), and the full 5 hours are up everywhere else. Links in comment. Timestamps: 0:00 - Introduction 3:33 - DeepSeek-R1 and DeepSeek-V3 25:07 - Low cost of training 51:25 - DeepSeek compute cluster 58:57 - Export controls on GPUs to China 1:09:16 - AGI timeline 1:18:41 - China's manufacturing capacity 1:26:36 - Cold war with China 1:31:05 - TSMC and Taiwan 1:54:44 - Best GPUs for AI 2:09:36 - Why DeepSeek is so cheap 2:22:55 - Espionage 2:31:57 - Censorship 2:44:52 - Andrej Karpathy and magic of RL 2:55:23 - OpenAI o3-mini vs DeepSeek r1 3:14:31 - NVIDIA 3:18:58 - GPU smuggling 3:25:36 - DeepSeek training on OpenAI data 3:36:04 - AI megaclusters 4:11:26 - Who wins the race to AGI? 4:21:39 - AI agents 4:30:21 - Programming and AI 4:37:49 - Open source 4:47:01 - Stargate 4:54:30 - Future of AI

Lex Fridman

1,154,226 次观看 • 1 年前

Here's my conversation with Sara Walker (Sara Imari Walker), a physicist and astrobiologist. We discuss how life emerged on Earth and in the Universe. She wrote a new book on just this topic, go pre-order it. This was a mind-blowing and super fun conversation. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:07 - Definition of life 21:45 - Time and space 32:26 - Technosphere 36:51 - Theory of everything 45:32 - Origin of life 1:07:10 - Assembly theory 1:23:24 - Aliens 1:35:14 - Great Perceptual Filter 1:39:12 - Fashion 1:43:14 - Beauty 1:49:35 - Language 1:56:16 - Computation 2:06:03 - Consciousness 2:14:55 - Artificial life 2:38:48 - Free will 2:45:32 - Why anything exists
2:51:49

Here's my conversation with Sara Walker (Sara Imari Walker), a physicist and astrobiologist. We discuss how life emerged on Earth and in the Universe. She wrote a new book on just this topic, go pre-order it. This was a mind-blowing and super fun conversation. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:07 - Definition of life 21:45 - Time and space 32:26 - Technosphere 36:51 - Theory of everything 45:32 - Origin of life 1:07:10 - Assembly theory 1:23:24 - Aliens 1:35:14 - Great Perceptual Filter 1:39:12 - Fashion 1:43:14 - Beauty 1:49:35 - Language 1:56:16 - Computation 2:06:03 - Consciousness 2:14:55 - Artificial life 2:38:48 - Free will 2:45:32 - Why anything exists

Lex Fridman

642,325 次观看 • 2 年前

Here's my conversation with Pieter Levels (@levelsio), self-taught developer and entrepreneur who designed, programmed, shipped, and ran over 40 startups, many of which are hugely successful. In most cases, he did it all by himself, while living the digital nomad life in over 40 countries and over 150 cities. This was a fun and inspiring conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:03 - Startup philosophy 9:34 - Low points 13:03 - 12 startups in 12 months 19:55 - Traveling and depression 32:34 - Indie hacking 36:37 - Photo AI 1:12:53 - How to learn AI 1:21:30 - Robots 1:29:47 - Hoodmaps 1:53:52 - Learning new programming languages 2:03:24 - Monetize your website 2:09:59 - Fighting SPAM 2:13:33 - Automation 2:24:58 - When to sell startup 2:27:52 - Coding solo 2:33:54 - Ship fast 2:42:38 - Best IDE for programming 2:52:09 - Andrej Karpathy 3:01:34 - Productivity 3:15:21 - Minimalism 3:24:07 - Emails 3:31:20 - Coffee 3:39:05 - E/acc 3:41:21 - Advice for young people
3:43:25

Here's my conversation with Pieter Levels (@levelsio), self-taught developer and entrepreneur who designed, programmed, shipped, and ran over 40 startups, many of which are hugely successful. In most cases, he did it all by himself, while living the digital nomad life in over 40 countries and over 150 cities. This was a fun and inspiring conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:03 - Startup philosophy 9:34 - Low points 13:03 - 12 startups in 12 months 19:55 - Traveling and depression 32:34 - Indie hacking 36:37 - Photo AI 1:12:53 - How to learn AI 1:21:30 - Robots 1:29:47 - Hoodmaps 1:53:52 - Learning new programming languages 2:03:24 - Monetize your website 2:09:59 - Fighting SPAM 2:13:33 - Automation 2:24:58 - When to sell startup 2:27:52 - Coding solo 2:33:54 - Ship fast 2:42:38 - Best IDE for programming 2:52:09 - Andrej Karpathy 3:01:34 - Productivity 3:15:21 - Minimalism 3:24:07 - Emails 3:31:20 - Coffee 3:39:05 - E/acc 3:41:21 - Advice for young people

Lex Fridman

2,440,991 次观看 • 2 年前

Here's my conversation with Matthew Cox, a former con man who served 13 years in federal prison for identity theft and bank fraud totaling $55 million. He was on FBI Most Wanted and Secret Service Most Wanted lists. This 6 hour podcast is his story. First 3 hours are here on X (since there's a 3 hour limit) and is up on YouTube, Spotify, and everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 1:59 - Mortgage fraud 16:47 - Creating fake people 50:33 - Arrested by FBI 1:07:24 - Omerta: Code of silence 1:29:41 - Fake ID's 1:59:03 - Getting caught 2:12:28 - Going on the run from FBI 2:24:09 - Identity theft 2:44:49 - More scams 2:56:38 - FBI Most Wanted 2:59:06 - Close calls 3:30:01 - Break up with Becky 3:34:42 - Calling parents 3:36:41 - Calling FBI 3:42:21 - Running from cops 4:04:11 - Getting arrested 4:19:36 - Snitching 4:35:51 - Prison 4:53:23 - War dogs 5:00:05 - Frank Amodeo 5:35:37 - Freedom 5:46:31 - Family 5:52:34 - Regret
2:58:10

Here's my conversation with Matthew Cox, a former con man who served 13 years in federal prison for identity theft and bank fraud totaling $55 million. He was on FBI Most Wanted and Secret Service Most Wanted lists. This 6 hour podcast is his story. First 3 hours are here on X (since there's a 3 hour limit) and is up on YouTube, Spotify, and everywhere else in full. Links in comment. Timestamps: 0:00 - Introduction 1:59 - Mortgage fraud 16:47 - Creating fake people 50:33 - Arrested by FBI 1:07:24 - Omerta: Code of silence 1:29:41 - Fake ID's 1:59:03 - Getting caught 2:12:28 - Going on the run from FBI 2:24:09 - Identity theft 2:44:49 - More scams 2:56:38 - FBI Most Wanted 2:59:06 - Close calls 3:30:01 - Break up with Becky 3:34:42 - Calling parents 3:36:41 - Calling FBI 3:42:21 - Running from cops 4:04:11 - Getting arrested 4:19:36 - Snitching 4:35:51 - Prison 4:53:23 - War dogs 5:00:05 - Frank Amodeo 5:35:37 - Freedom 5:46:31 - Family 5:52:34 - Regret

Lex Fridman

924,409 次观看 • 2 年前

Here's my conversation with Jack Weatherford all about Genghis Khan and the Mongol Empire. He is the author of Genghis Khan and the Making of the Modern World and many other books on the Mongol Empire. This was a truly fascinating conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:56 - Origin story of Genghis Khan 42:42 - Early battles & conquests 55:23 - Power 57:45 - Secret History 1:11:10 - Mongolian steppe 1:14:27 - Mounted archery and horse-riding 1:22:48 - Genghis Khan's army 1:39:00 - Military tactics and strategy 1:51:24 - Wars of conquest 1:55:48 - Dan Carlin 2:05:49 - Religious freedom 2:21:36 - Trade and the Silk Road 2:30:21 - Weapons innovation 2:31:52 - Kublai Khan and conquering China 3:13:43 - Fall of the Mongol Empire 3:40:38 - Genetic legacy 3:50:32 - Lessons from Genghis Khan 4:00:48 - Human nature 4:03:58 - Visiting Mongolia 4:23:27 - Lex: Dan Carlin 4:26:17 - Lex: Gaza
4:30:01

Here's my conversation with Jack Weatherford all about Genghis Khan and the Mongol Empire. He is the author of Genghis Khan and the Making of the Modern World and many other books on the Mongol Empire. This was a truly fascinating conversation! It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:56 - Origin story of Genghis Khan 42:42 - Early battles & conquests 55:23 - Power 57:45 - Secret History 1:11:10 - Mongolian steppe 1:14:27 - Mounted archery and horse-riding 1:22:48 - Genghis Khan's army 1:39:00 - Military tactics and strategy 1:51:24 - Wars of conquest 1:55:48 - Dan Carlin 2:05:49 - Religious freedom 2:21:36 - Trade and the Silk Road 2:30:21 - Weapons innovation 2:31:52 - Kublai Khan and conquering China 3:13:43 - Fall of the Mongol Empire 3:40:38 - Genetic legacy 3:50:32 - Lessons from Genghis Khan 4:00:48 - Human nature 4:03:58 - Visiting Mongolia 4:23:27 - Lex: Dan Carlin 4:26:17 - Lex: Gaza

Lex Fridman

739,322 次观看 • 1 年前

Here's my conversation with Terence Tao, one of the greatest mathematicians in history. We talk about the hardest problems in mathematics & physics, and how AI might help us humans to solve them. This conversation was a huge honor for me. I can't quite put it into words, but once again I'm grateful for whatever simulation code resulted in me having the life I do 🙏 To further confirm simulation, podcast length accidentally turned out to be 3:14 (pi=3.141592). But it's not 3:14:15, because the simulation code has some bugs 🤣 Podcast is here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - First hard problem 6:16 - Navier–Stokes singularity 26:26 - Game of life 33:01 - Infinity 38:07 - Math vs Physics 44:26 - Nature of reality 1:07:09 - Theory of everything 1:13:10 - General relativity 1:16:37 - Solving difficult problems 1:20:01 - AI-assisted theorem proving 1:32:51 - Lean programming language 1:42:51 - DeepMind's AlphaProof 1:47:45 - Human mathematicians vs AI 1:57:37 - AI winning the Fields Medal 2:04:47 - Grigori Perelman 2:17:30 - Twin Prime Conjecture 2:34:04 - Collatz conjecture 2:40:50 - P = NP 2:43:43 - Fields Medal 2:51:18 - Andrew Wiles and Fermat's Last Theorem 2:55:16 - Productivity 2:57:55 - Advice for young people 3:06:17 - The greatest mathematician of all time
3:14:33

Here's my conversation with Terence Tao, one of the greatest mathematicians in history. We talk about the hardest problems in mathematics & physics, and how AI might help us humans to solve them. This conversation was a huge honor for me. I can't quite put it into words, but once again I'm grateful for whatever simulation code resulted in me having the life I do 🙏 To further confirm simulation, podcast length accidentally turned out to be 3:14 (pi=3.141592). But it's not 3:14:15, because the simulation code has some bugs 🤣 Podcast is here on X in full, and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:49 - First hard problem 6:16 - Navier–Stokes singularity 26:26 - Game of life 33:01 - Infinity 38:07 - Math vs Physics 44:26 - Nature of reality 1:07:09 - Theory of everything 1:13:10 - General relativity 1:16:37 - Solving difficult problems 1:20:01 - AI-assisted theorem proving 1:32:51 - Lean programming language 1:42:51 - DeepMind's AlphaProof 1:47:45 - Human mathematicians vs AI 1:57:37 - AI winning the Fields Medal 2:04:47 - Grigori Perelman 2:17:30 - Twin Prime Conjecture 2:34:04 - Collatz conjecture 2:40:50 - P = NP 2:43:43 - Fields Medal 2:51:18 - Andrew Wiles and Fermat's Last Theorem 2:55:16 - Productivity 2:57:55 - Advice for young people 3:06:17 - The greatest mathematician of all time

Lex Fridman

1,230,835 次观看 • 1 年前

E97: Gavin Wood : Why Ethereum is Going Nowhere since 8 years (and my solution to it) Dr. Gavin Wood is the CoFounder of Ethereum, the Creator of the EVM and of the solidity language, and the Inventor and Founder of Polkadot & Parity Technologies Timestamps 0:00 Introduction 2:44 Culture in Japan VS UK 6:00 Humour 7:40 Who is Gavin? 9:17 Mission 10:28 Characteristics of Successful Founders 13:53 Developing Big Ideas 16:08 Creative Success Mechanism 20:03 Suffering 24:56 From Theory to Transactions 32:28 Building a Support Network 34:36 Legacy Banking Systems 36:01 Music Engineering 45:08 Childhood Dreams 46:27 Camino de Santiago 49:19 Crypto Fascination 54:44 Web3: The Post Snowden Web 1:00:39 Co-Founding Ethereum 1:03:12 Biggest Ethereum Achievement 1:04:04 Is Ethereum a Success? 1:07:38 Why Gavin Left Ethereum 1:09:48 Polkadot 1:14:53 Polkadots Achievements and Problems 1:24:05 Solution to Polkadot Main Problem 1:28:12 Polkadots Adoption & Communication Strategy 1:38:26 Polkadot Vision of Success 1:42:30 Memecoins 1:45:19 Crypto Integrity 1:49:45 Crypto's Limited Adoption 1:58:35 Identity vs. Individuality 2:07:15 Is AI a Bad Thing? 2:09:27 AI's Communication Revolution 2:25:06 Decentralization Role in AI 2:29:08 Eternal Happiness 2:32:17 Are You Happy? 2:33:52 Meaning of Life 2:38:58 What is Money? 2:45:55 Experience as a Father 2:48:54 Non-Consensus Beliefs
2:52:39

E97: Gavin Wood : Why Ethereum is Going Nowhere since 8 years (and my solution to it) Dr. Gavin Wood is the CoFounder of Ethereum, the Creator of the EVM and of the solidity language, and the Inventor and Founder of Polkadot & Parity Technologies Timestamps 0:00 Introduction 2:44 Culture in Japan VS UK 6:00 Humour 7:40 Who is Gavin? 9:17 Mission 10:28 Characteristics of Successful Founders 13:53 Developing Big Ideas 16:08 Creative Success Mechanism 20:03 Suffering 24:56 From Theory to Transactions 32:28 Building a Support Network 34:36 Legacy Banking Systems 36:01 Music Engineering 45:08 Childhood Dreams 46:27 Camino de Santiago 49:19 Crypto Fascination 54:44 Web3: The Post Snowden Web 1:00:39 Co-Founding Ethereum 1:03:12 Biggest Ethereum Achievement 1:04:04 Is Ethereum a Success? 1:07:38 Why Gavin Left Ethereum 1:09:48 Polkadot 1:14:53 Polkadots Achievements and Problems 1:24:05 Solution to Polkadot Main Problem 1:28:12 Polkadots Adoption & Communication Strategy 1:38:26 Polkadot Vision of Success 1:42:30 Memecoins 1:45:19 Crypto Integrity 1:49:45 Crypto's Limited Adoption 1:58:35 Identity vs. Individuality 2:07:15 Is AI a Bad Thing? 2:09:27 AI's Communication Revolution 2:25:06 Decentralization Role in AI 2:29:08 Eternal Happiness 2:32:17 Are You Happy? 2:33:52 Meaning of Life 2:38:58 What is Money? 2:45:55 Experience as a Father 2:48:54 Non-Consensus Beliefs

MR SHIFT 🦁

265,222 次观看 • 1 年前

Here's my 4+ hour conversation with Pavel Durov (Pavel Durov), founder and CEO of Telegram. This was one of the most fascinating and powerful conversations I've ever had in my life. We discuss everything from his philosophy on freedom to government bureaucracies, intelligence agencies, human nature, mathematics, encryption, great engineering & design, education, family, and his philosophy on life. It's here on X in full and is up everywhere else (see comment). It is translated and dubbed into Russian, Ukrainian, French, and Hindi. Timestamps: 0:00 - Introduction 3:07 - Philosophy of freedom 6:15 - No alcohol 14:20 - No phone 20:16 - Discipline 41:28 - Telegram: Lean philosophy, privacy, and geopolitics 56:50 - Arrest in France 1:13:01 - Romanian elections 1:23:56 - Power and corruption 1:33:29 - Intense education 1:45:29 - Nikolai Durov 1:49:58 - Programming and video games 1:54:11 - VK origins & engineering 2:11:24 - Hiring a great team 2:20:40 - Telegram engineering & design 2:39:42 - Encryption 2:44:39 - Open source 2:49:26 - Edward Snowden 2:51:58 - Intelligence agencies 2:53:10 - Iran and Russia government pressure 2:56:19 - Apple 3:03:16 - Poisoning 3:29:28 - Elon Musk 3:35:31 - Money 3:44:23 - TON 3:54:13 - Bitcoin 3:57:12 - Two chairs dilemma 4:03:52 - Children 4:15:02 - Father 4:19:33 - Quantum immortality 4:26:05 - Kafka
4:34:09

Here's my 4+ hour conversation with Pavel Durov (Pavel Durov), founder and CEO of Telegram. This was one of the most fascinating and powerful conversations I've ever had in my life. We discuss everything from his philosophy on freedom to government bureaucracies, intelligence agencies, human nature, mathematics, encryption, great engineering & design, education, family, and his philosophy on life. It's here on X in full and is up everywhere else (see comment). It is translated and dubbed into Russian, Ukrainian, French, and Hindi. Timestamps: 0:00 - Introduction 3:07 - Philosophy of freedom 6:15 - No alcohol 14:20 - No phone 20:16 - Discipline 41:28 - Telegram: Lean philosophy, privacy, and geopolitics 56:50 - Arrest in France 1:13:01 - Romanian elections 1:23:56 - Power and corruption 1:33:29 - Intense education 1:45:29 - Nikolai Durov 1:49:58 - Programming and video games 1:54:11 - VK origins & engineering 2:11:24 - Hiring a great team 2:20:40 - Telegram engineering & design 2:39:42 - Encryption 2:44:39 - Open source 2:49:26 - Edward Snowden 2:51:58 - Intelligence agencies 2:53:10 - Iran and Russia government pressure 2:56:19 - Apple 3:03:16 - Poisoning 3:29:28 - Elon Musk 3:35:31 - Money 3:44:23 - TON 3:54:13 - Bitcoin 3:57:12 - Two chairs dilemma 4:03:52 - Children 4:15:02 - Father 4:19:33 - Quantum immortality 4:26:05 - Kafka

Lex Fridman

2,567,423 次观看 • 10 个月前

Simon Peyton Jones is the co-creator of Haskell (pure functional programming language) and I interviewed him about functional programming, why it matters, and his thoughts on other programming languages. In this episode: • Useful and useless programming languages • Rust vs C • Haskell vs OCaml • Why functional programming matters • Static languages and their value for LLMs • Why Excel is his 2nd favorite programming language Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 - Intro 00:39 - What functional programming is 09:18 - Downsides of functional programming 10:53 - Specialized hardware for functional programming 21:47 - Haskell is useless 25:59 - Rust vs C 28:26 - Haskell vs OCaml 35:26 - Side effects in Haskell 44:26 - Type systems 57:30 - How the Haskell compiler works 01:04:35 - Why Haskell is talked about more than used 01:09:07 - Avoiding success at all costs 01:11:12 - LLMs and programming languages 01:13:57 - New programming language design 01:15:59 - Should students continue to learn programming 01:22:33 - Why Excel is is 2nd favorite programming language 01:25:04 - Advice for his younger self
1:27:52

Simon Peyton Jones is the co-creator of Haskell (pure functional programming language) and I interviewed him about functional programming, why it matters, and his thoughts on other programming languages. In this episode: • Useful and useless programming languages • Rust vs C • Haskell vs OCaml • Why functional programming matters • Static languages and their value for LLMs • Why Excel is his 2nd favorite programming language Where to watch: • YouTube - • Spotify - • Apple Podcasts - • Transcript - Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at Chapters: 00:00 - Intro 00:39 - What functional programming is 09:18 - Downsides of functional programming 10:53 - Specialized hardware for functional programming 21:47 - Haskell is useless 25:59 - Rust vs C 28:26 - Haskell vs OCaml 35:26 - Side effects in Haskell 44:26 - Type systems 57:30 - How the Haskell compiler works 01:04:35 - Why Haskell is talked about more than used 01:09:07 - Avoiding success at all costs 01:11:12 - LLMs and programming languages 01:13:57 - New programming language design 01:15:59 - Should students continue to learn programming 01:22:33 - Why Excel is is 2nd favorite programming language 01:25:04 - Advice for his younger self

Ryan Peterman

128,294 次观看 • 2 个月前

Here's my conversation with Jared Kushner, former Senior Advisor to President Donald Trump, and one of the most influential presidential advisors in modern history. We discuss the Hamas attack on Israel in the full context of the history and geopolitics of the region. This conversation is 4 hours. The first 3 hours (current limit for X) are posted here on X. I love you all ❤ Here are the timestamps: === Recorded on Mon, Oct 9 === 0:00 - Introduction 1:17 - Hamas attack on Israel 4:10 - Response to attack 10:28 - History of Hamas 13:09 - Iran 14:55 - Al-Aqsa Mosque 21:20 - Abraham Accords 30:14 - Trump vs Biden on Middle East 39:15 - Israeli-Saudi Normalization 43:26 - How the Israel-Gaza war ends 47:44 - Benjamin Netanyahu 51:21 - Palestinian support 54:01 - Trump 2024 57:30 - Human nature === Recorded on Thu, Oct 5 === 1:04:28 - Geopolitics and negotiation 1:13:10 - North Korea 1:21:50 - Personalities of leaders 1:28:25 - Government bureaucracy 1:34:11 - Accusations of collusion with Russia 1:43:50 - Ivanka 1:49:45 - Father 1:58:28 - Money and power 2:07:11 - Trust and betrayal 2:16:12 - Mohammed bin Salman 2:38:31 - Israeli–Palestinian peace process 2:53:01 - Abraham Accords and Arab-Israeli normalization 3:03:07 - Donald Trump 3:08:13 - War in Ukraine 3:13:29 - Vladimir Putin 3:20:48 - China 3:39:04 - Learning process 3:45:34 - Hope for the future
2:59:57

Here's my conversation with Jared Kushner, former Senior Advisor to President Donald Trump, and one of the most influential presidential advisors in modern history. We discuss the Hamas attack on Israel in the full context of the history and geopolitics of the region. This conversation is 4 hours. The first 3 hours (current limit for X) are posted here on X. I love you all ❤ Here are the timestamps: === Recorded on Mon, Oct 9 === 0:00 - Introduction 1:17 - Hamas attack on Israel 4:10 - Response to attack 10:28 - History of Hamas 13:09 - Iran 14:55 - Al-Aqsa Mosque 21:20 - Abraham Accords 30:14 - Trump vs Biden on Middle East 39:15 - Israeli-Saudi Normalization 43:26 - How the Israel-Gaza war ends 47:44 - Benjamin Netanyahu 51:21 - Palestinian support 54:01 - Trump 2024 57:30 - Human nature === Recorded on Thu, Oct 5 === 1:04:28 - Geopolitics and negotiation 1:13:10 - North Korea 1:21:50 - Personalities of leaders 1:28:25 - Government bureaucracy 1:34:11 - Accusations of collusion with Russia 1:43:50 - Ivanka 1:49:45 - Father 1:58:28 - Money and power 2:07:11 - Trust and betrayal 2:16:12 - Mohammed bin Salman 2:38:31 - Israeli–Palestinian peace process 2:53:01 - Abraham Accords and Arab-Israeli normalization 3:03:07 - Donald Trump 3:08:13 - War in Ukraine 3:13:29 - Vladimir Putin 3:20:48 - China 3:39:04 - Learning process 3:45:34 - Hope for the future

Lex Fridman

6,175,333 次观看 • 2 年前

Here's my conversation with Yann LeCun (Yann LeCun) about AI, importance of open source, limits of LLMs, why AI doomers are wrong, and the path to AGI. This was a fun and fascinating technical conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:18 - Limits of LLMs 13:54 - Bilingualism and thinking 17:46 - Video prediction 25:07 - JEPA (Joint-Embedding Predictive Architecture) 28:15 - JEPA vs LLMs 37:31 - DINO and I-JEPA 38:51 - V-JEPA 44:22 - Hierarchical planning 50:40 - Autoregressive LLMs 1:06:06 - AI hallucination 1:11:30 - Reasoning in AI 1:29:02 - Reinforcement learning 1:34:10 - Woke AI 1:43:48 - Open source 1:47:26 - AI and ideology 1:49:58 - Marc Andreesen 1:57:56 - Llama 3 2:04:20 - AGI 2:08:48 - AI doomers 2:24:38 - Joscha Bach 2:28:51 - Humanoid robots 2:38:00 - Hope for the future
2:47:07

Here's my conversation with Yann LeCun (Yann LeCun) about AI, importance of open source, limits of LLMs, why AI doomers are wrong, and the path to AGI. This was a fun and fascinating technical conversation! It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 2:18 - Limits of LLMs 13:54 - Bilingualism and thinking 17:46 - Video prediction 25:07 - JEPA (Joint-Embedding Predictive Architecture) 28:15 - JEPA vs LLMs 37:31 - DINO and I-JEPA 38:51 - V-JEPA 44:22 - Hierarchical planning 50:40 - Autoregressive LLMs 1:06:06 - AI hallucination 1:11:30 - Reasoning in AI 1:29:02 - Reinforcement learning 1:34:10 - Woke AI 1:43:48 - Open source 1:47:26 - AI and ideology 1:49:58 - Marc Andreesen 1:57:56 - Llama 3 2:04:20 - AGI 2:08:48 - AI doomers 2:24:38 - Joscha Bach 2:28:51 - Humanoid robots 2:38:00 - Hope for the future

Lex Fridman

1,022,504 次观看 • 2 年前

Here's my conversation with Jennifer Burns (Jennifer Burns), a historian specializing in the evolution of economics & political ideas over the past 100 years. She wrote two great biographies: one on Milton Friedman and one on Ayn Rand. This is a super-technical deep-dive on econonmics, capitalism, and ideas of freedom in general. Also, at the end of the episode (in the outro), I reflect on my conversation with President Zelenskyy. The full episode is here on X and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 0:48 - Milton Friedman 15:41 - The Great Depression 29:58 - Schools of economic thought 41:05 - Keynesian economics 48:53 - Laissez-faire 56:43 - Friedrich Hayek 1:02:01 - Money and monetarism 1:16:46 - Stagflation 1:21:39 - Moral case for capitalism 1:25:35 - Freedom 1:30:34 - Ethics of competition 1:34:20 - Win-win solutions 1:36:09 - Corruption 1:38:33 - Government intervention 1:44:53 - Conservatism 1:51:16 - Donald Trump 1:53:52 - Inflation 1:58:21 - DOGE 2:03:40 - Javier Milei 2:08:46 - Richard Nixon 2:16:00 - Ronald Reagan 2:19:07 - Cryptocurrency 2:34:23 - Ayn Rand 2:42:01 - The Fountainhead 2:53:41 - Sex and power dynamics 3:09:47 - Evolution of ideas in history 3:17:15 - Postmodernism 3:28:16 - Advice to students 3:36:32 - Lex reflects on Volodymyr Zelenskyy interview
3:54:13

Here's my conversation with Jennifer Burns (Jennifer Burns), a historian specializing in the evolution of economics & political ideas over the past 100 years. She wrote two great biographies: one on Milton Friedman and one on Ayn Rand. This is a super-technical deep-dive on econonmics, capitalism, and ideas of freedom in general. Also, at the end of the episode (in the outro), I reflect on my conversation with President Zelenskyy. The full episode is here on X and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 0:48 - Milton Friedman 15:41 - The Great Depression 29:58 - Schools of economic thought 41:05 - Keynesian economics 48:53 - Laissez-faire 56:43 - Friedrich Hayek 1:02:01 - Money and monetarism 1:16:46 - Stagflation 1:21:39 - Moral case for capitalism 1:25:35 - Freedom 1:30:34 - Ethics of competition 1:34:20 - Win-win solutions 1:36:09 - Corruption 1:38:33 - Government intervention 1:44:53 - Conservatism 1:51:16 - Donald Trump 1:53:52 - Inflation 1:58:21 - DOGE 2:03:40 - Javier Milei 2:08:46 - Richard Nixon 2:16:00 - Ronald Reagan 2:19:07 - Cryptocurrency 2:34:23 - Ayn Rand 2:42:01 - The Fountainhead 2:53:41 - Sex and power dynamics 3:09:47 - Evolution of ideas in history 3:17:15 - Postmodernism 3:28:16 - Advice to students 3:36:32 - Lex reflects on Volodymyr Zelenskyy interview

Lex Fridman

458,824 次观看 • 1 年前

64 Arguments Against Democratic Socialism Timestamps: 0:00 Definitions 2:28 Hyper-individualism 5:44 Universality 9:30 He Who Pays the Piper, Calls the Tune 12:37 Welfare State Turns Humans From Assets to Liabilities 15:18 Against Me 16:25 Trump Test 18:29 Zero Sum Thinking 21:05 Forcible Depravation 22:46 Monopoly Contradiction 25:27 Vilifying Producers 28:03 Competition Protects People 32:03 The Secret to Mass Consumption = Mass Production 34:30 Decreasing Prices in the Private Sector & Potential Competition 39:35 The Myth of the Rational Voter: Fake Power vs. Real Power 50:02 Social Contract Myth 53:29 "Which Happens First?" 58:45 Static Thinking Fallacy 1:03:20 Metrics for Standard of Living & Time Prices 1:07:58 Humans Are Inherently Self Interested 1:12:53 Recognizing Rights as Reciprocal 1:14:49 We Are Not the Government 1:17:29 More Power = Better Outcome Assumption 1:21:19 The Myth of "Free" 1:23:50 Iron Law of Oligarchy 1:26:50 Praxeology 1:37:55 Inequality & Trickle Down Economics 1:44:41 Domestic Imperialism 1:48:56 Regulatory Capture 1:50:48 Abolish the Police 1:53:02 The Empirical Case 1:54:08 "Me Being X Doesn't Affect You" 1:56:01 Material Mindset 1:59:16 Capital Financing Shift 2:00:30 The Value of the Capitalist 2:03:47 Opposition to Voluntary Solutions 2:07:45 Apartheid Entitlement 2:14:36 Democracy and Delegating Rights 2:17:02 The Expert Problem 2:23:45 Capitalist Time Preference 2:31:41 Capitalist Productivity 2:34:15 Self-Ownership 2:38:15 Who Defines What "Service X" is? 2:41:57 Inevitability of Scarcity 2:46:35 The Angel Argument 2:49:04 The Crimes of the 99% 2:51:09 "Poverty Causes Crime" 2:53:04 Intentions Over Results 2:57:41 Free Association = The Ultimate "Check and Balance" 3:00:31 Surplus Value 3:04:39 Firms Reduce Transaction Costs 3:08:21 Collective Action Problem 3:10:09 Empiricism, the High Cost of Experimentation, and the Difficulty in Isolating Variables 3:12:46 Each According to Their Ability? Need? 3:15:51 Disparities Prove Discrimination 3:23:58 Comparing Theory to Reality 3:31:42 Nirvana Fallacy 3:34:41 Which Collective? 3:39:20 Argument From Tolerance 3:39:50 Prices: Signal & Incentive 3:42:58 Catastrophizing 3:46:43 Stock Diversification 3:48:17 Press Conference Bias 3:50:20 Divorce and Discrimination 3:53:38 Discouraging Savings
3:58:46

64 Arguments Against Democratic Socialism Timestamps: 0:00 Definitions 2:28 Hyper-individualism 5:44 Universality 9:30 He Who Pays the Piper, Calls the Tune 12:37 Welfare State Turns Humans From Assets to Liabilities 15:18 Against Me 16:25 Trump Test 18:29 Zero Sum Thinking 21:05 Forcible Depravation 22:46 Monopoly Contradiction 25:27 Vilifying Producers 28:03 Competition Protects People 32:03 The Secret to Mass Consumption = Mass Production 34:30 Decreasing Prices in the Private Sector & Potential Competition 39:35 The Myth of the Rational Voter: Fake Power vs. Real Power 50:02 Social Contract Myth 53:29 "Which Happens First?" 58:45 Static Thinking Fallacy 1:03:20 Metrics for Standard of Living & Time Prices 1:07:58 Humans Are Inherently Self Interested 1:12:53 Recognizing Rights as Reciprocal 1:14:49 We Are Not the Government 1:17:29 More Power = Better Outcome Assumption 1:21:19 The Myth of "Free" 1:23:50 Iron Law of Oligarchy 1:26:50 Praxeology 1:37:55 Inequality & Trickle Down Economics 1:44:41 Domestic Imperialism 1:48:56 Regulatory Capture 1:50:48 Abolish the Police 1:53:02 The Empirical Case 1:54:08 "Me Being X Doesn't Affect You" 1:56:01 Material Mindset 1:59:16 Capital Financing Shift 2:00:30 The Value of the Capitalist 2:03:47 Opposition to Voluntary Solutions 2:07:45 Apartheid Entitlement 2:14:36 Democracy and Delegating Rights 2:17:02 The Expert Problem 2:23:45 Capitalist Time Preference 2:31:41 Capitalist Productivity 2:34:15 Self-Ownership 2:38:15 Who Defines What "Service X" is? 2:41:57 Inevitability of Scarcity 2:46:35 The Angel Argument 2:49:04 The Crimes of the 99% 2:51:09 "Poverty Causes Crime" 2:53:04 Intentions Over Results 2:57:41 Free Association = The Ultimate "Check and Balance" 3:00:31 Surplus Value 3:04:39 Firms Reduce Transaction Costs 3:08:21 Collective Action Problem 3:10:09 Empiricism, the High Cost of Experimentation, and the Difficulty in Isolating Variables 3:12:46 Each According to Their Ability? Need? 3:15:51 Disparities Prove Discrimination 3:23:58 Comparing Theory to Reality 3:31:42 Nirvana Fallacy 3:34:41 Which Collective? 3:39:20 Argument From Tolerance 3:39:50 Prices: Signal & Incentive 3:42:58 Catastrophizing 3:46:43 Stock Diversification 3:48:17 Press Conference Bias 3:50:20 Divorce and Discrimination 3:53:38 Discouraging Savings

Voluntaryist Keith

320,963 次观看 • 1 个月前