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AI Browsers make Chrome feel useless. Here's everything you need to know about ChatGPT Atlas, Perplexity Comet, and Arc Dia in 58 mins: 1:53 - Demos of All Three 17:12 - Productivity Use Cases 38:39 - Weaknesses of Each 40:51 - Are They Safe? 48:41 - Final Ranking

Aakash Gupta

168,512 subscribers

143,016 просмотров • 5 месяцев назад •via X (Twitter)

Образование Наука и технологии Финансы

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It happened. Claude Code has been dethroned. I've lived in Codex w/ ChatGPT 5.5 the last couple of days and it is the: • Smartest model • Best all around AI app • Most powerful features (computer use and image gen) Here's everything you need to know about this A+ release:

It happened. Claude Code has been dethroned. I've lived in Codex w/ ChatGPT 5.5 the last couple of days and it is the: • Smartest model • Best all around AI app • Most powerful features (computer use and image gen) Here's everything you need to know about this A+ release:

Alex Finn

126,426 просмотров • 2 месяцев назад

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

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

316,603 просмотров • 20 дней назад

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

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

1,022,139 просмотров • 2 лет назад

🚨🚨🚨 POD UP! travis kalanick (travis kalanick) and keith rabois (Keith Rabois) fill in for sacks and friedberg! -- grok 4 launch wows -- learning "the bitter lesson" in ai -- ai-native browsers: hail mary, waste of time, or killer product? -- elon’s third party: is now the right time? -- scotus backs trump on federal rifs (0:00) the besties welcome travis kalanick and keith rabois! (3:02) travis on / uber rumors and the state of cloud kitchens (18:51) xai launches grok 4, learning "the bitter lesson" in ai (40:36) how grok can catch chatgpt in usage, openai's product excellence (46:27) perplexity and openai building ai-native browsers and taking on chrome (58:01) elon's "america party": is now the right time for a third party, and could he make an impact in 2026? (1:13:12) scotus backs trump over federal government rif plans

🚨🚨🚨 POD UP! travis kalanick (travis kalanick) and keith rabois (Keith Rabois) fill in for sacks and friedberg! -- grok 4 launch wows -- learning "the bitter lesson" in ai -- ai-native browsers: hail mary, waste of time, or killer product? -- elon’s third party: is now the right time? -- scotus backs trump on federal rifs (0:00) the besties welcome travis kalanick and keith rabois! (3:02) travis on / uber rumors and the state of cloud kitchens (18:51) xai launches grok 4, learning "the bitter lesson" in ai (40:36) how grok can catch chatgpt in usage, openai's product excellence (46:27) perplexity and openai building ai-native browsers and taking on chrome (58:01) elon's "america party": is now the right time for a third party, and could he make an impact in 2026? (1:13:12) scotus backs trump over federal government rif plans

The All-In Podcast

659,556 просмотров • 1 год назад

My interview with Greg Brockman (Greg Brockman), Cofounder and President of OpenAI. 0:00 Intro 1:06 Scaling Sora 2:18 Are transformer models the future? 4:29 Building with AMD 5:50 Other kinds of compute 7:28 Bottlenecks 9:17 Deciding where to invest 11:38 Decoupling of the internet 16:29 Why ChatGPT is different 17:59 Proactive AI 19:39 Compressing Intelligence 20:48 ChatGPT’s Longest Thought Ever 21:13 Sora 2 29:47 Is my job in danger? 31:51 Building on top of OpenAI 34:11 Humans in the loop 35:36 Fully generated software 39:25 Agentic Commerce Protocol 40:41 What does 2026 look like? 42:43 AGI

My interview with Greg Brockman (Greg Brockman), Cofounder and President of OpenAI. 0:00 Intro 1:06 Scaling Sora 2:18 Are transformer models the future? 4:29 Building with AMD 5:50 Other kinds of compute 7:28 Bottlenecks 9:17 Deciding where to invest 11:38 Decoupling of the internet 16:29 Why ChatGPT is different 17:59 Proactive AI 19:39 Compressing Intelligence 20:48 ChatGPT’s Longest Thought Ever 21:13 Sora 2 29:47 Is my job in danger? 31:51 Building on top of OpenAI 34:11 Humans in the loop 35:36 Fully generated software 39:25 Agentic Commerce Protocol 40:41 What does 2026 look like? 42:43 AGI

Matthew Berman

45,086 просмотров • 9 месяцев назад

Here's my conversation with Adam Frank (Adam Frank), an astrophysicist, all about aliens, alien civilizations, and the search for extraterrestrial life. It's here on X in full, and is up everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:58 - Planet formation 7:08 - Plate tectonics 14:30 - Extinction events 18:41 - Biosphere 21:39 - Technosphere 25:53 - Emergence of intelligence 32:06 - Drake equation 36:20 - Exoplanets 39:04 - Habitable zones 42:06 - Fermi Paradox 51:04 - Alien civilizations 1:00:32 - Colonizing Mars 1:12:48 - Search for aliens 1:29:13 - Alien megastructures 1:35:19 - Kardashev scale 1:40:32 - Detecting aliens 1:47:14 - Warp drives 1:53:21 - Cryogenics 1:56:39 - What aliens look like 2:05:24 - Alien contact 2:16:29 - UFO sightings 2:28:14 - Physics of life 2:54:05 - Nature of time 3:10:29 - Cognition 3:14:53 - Mortality

Here's my conversation with Adam Frank (Adam Frank), an astrophysicist, all about aliens, alien civilizations, and the search for extraterrestrial life. It's here on X in full, and is up everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:58 - Planet formation 7:08 - Plate tectonics 14:30 - Extinction events 18:41 - Biosphere 21:39 - Technosphere 25:53 - Emergence of intelligence 32:06 - Drake equation 36:20 - Exoplanets 39:04 - Habitable zones 42:06 - Fermi Paradox 51:04 - Alien civilizations 1:00:32 - Colonizing Mars 1:12:48 - Search for aliens 1:29:13 - Alien megastructures 1:35:19 - Kardashev scale 1:40:32 - Detecting aliens 1:47:14 - Warp drives 1:53:21 - Cryogenics 1:56:39 - What aliens look like 2:05:24 - Alien contact 2:16:29 - UFO sightings 2:28:14 - Physics of life 2:54:05 - Nature of time 3:10:29 - Cognition 3:14:53 - Mortality

Lex Fridman

399,651 просмотров • 1 год назад

Where are all the consumer AI apps??? This is the question I posed to s-tier consumer investors scott belsky (Uber, Pinterest) and steve jang (Coinbase, Postmates). We're almost 3 years into the AI hype the we're still all mostly just talking about ChatGPT, Perplexity, and Claude. We explore the answer through the ways in which the entire consumer stack (input, memory, personalization, browsers, hardware) are being re-written by AI and how that may give birth to the consumer opportunity we've all been waiting for. Chapters: 00:00 Welcome and Introductions 00:43 The Current State of AI Products 02:48 Surprises and Challenges with LLMs 05:24 Future of Consumer AI and Personal AI 15:49 Memory and Personalization in AI 21:52 Potential Risks and Business Models 24:22 The Battle for User Data in AI 25:11 Optimism in AI Model Inference 27:00 The Role of Open Source Models 28:13 The Future of AI Hardware 28:54 Challenges and Opportunities in AI Hardware Startups 30:29 The Evolution of Consumer Hardware 38:36 The Reinvention of Browsers 46:23 The Potential of AI-Enhanced Browsers 47:54 Conclusion and Final Thoughts Many thanks to my good friends for joining me in this discussion 🙏

Where are all the consumer AI apps??? This is the question I posed to s-tier consumer investors scott belsky (Uber, Pinterest) and steve jang (Coinbase, Postmates). We're almost 3 years into the AI hype the we're still all mostly just talking about ChatGPT, Perplexity, and Claude. We explore the answer through the ways in which the entire consumer stack (input, memory, personalization, browsers, hardware) are being re-written by AI and how that may give birth to the consumer opportunity we've all been waiting for. Chapters: 00:00 Welcome and Introductions 00:43 The Current State of AI Products 02:48 Surprises and Challenges with LLMs 05:24 Future of Consumer AI and Personal AI 15:49 Memory and Personalization in AI 21:52 Potential Risks and Business Models 24:22 The Battle for User Data in AI 25:11 Optimism in AI Model Inference 27:00 The Role of Open Source Models 28:13 The Future of AI Hardware 28:54 Challenges and Opportunities in AI Hardware Startups 30:29 The Evolution of Consumer Hardware 38:36 The Reinvention of Browsers 46:23 The Potential of AI-Enhanced Browsers 47:54 Conclusion and Final Thoughts Many thanks to my good friends for joining me in this discussion 🙏

Michael Mignano

25,155 просмотров • 1 год назад

I sat down with Jordi Visser to discuss 2025 performance, outlook for 2026, the rapid impact of artificial intelligence on productivity / GDP / economic growth, bitcoin's rise or fall, and how individuals can use AI tools to create more value in their work and lives. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:55 - 2025 market recap and biggest lessons 13:53 - 2026 outlook: can GDP growth accelerate? 20:36 - 2026 asset outlook: stocks, commodities, crypto 27:51 - How to using AI to make better decisions and investing ideas 32:42 - Silvia tax/parenting use cases and better portfolio construction with AI 39:47 - Karpathy’s tweet: AI is changing programming 48:23 - Building apps and tools with AI and importance of curiosity + persistence 1:00:02 - 2026 prediction: task-specific AI agents 1:04:12 - Health, longevity, and Jordi’s new Substack

I sat down with Jordi Visser to discuss 2025 performance, outlook for 2026, the rapid impact of artificial intelligence on productivity / GDP / economic growth, bitcoin's rise or fall, and how individuals can use AI tools to create more value in their work and lives. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:55 - 2025 market recap and biggest lessons 13:53 - 2026 outlook: can GDP growth accelerate? 20:36 - 2026 asset outlook: stocks, commodities, crypto 27:51 - How to using AI to make better decisions and investing ideas 32:42 - Silvia tax/parenting use cases and better portfolio construction with AI 39:47 - Karpathy’s tweet: AI is changing programming 48:23 - Building apps and tools with AI and importance of curiosity + persistence 1:00:02 - 2026 prediction: task-specific AI agents 1:04:12 - Health, longevity, and Jordi’s new Substack

Anthony Pompliano 🌪

40,283 просмотров • 6 месяцев назад

Sam Altman on God, Elon and the mysterious death of his former employee. (0:00) Is AI Alive? Is It Lying to Us? (3:37) Does Sam Altman Believe in God? (6:37) What Is Morally Right and Wrong According to ChatGPT? (19:08) ChatGPT Users Committing Suicide (27:21) Will Altman Allow ChatGPT for Military Use? (29:01) Altman’s Biggest Fear About AI (31:39) Will AI Bring About Totalitarian Control? (32:48) How Much Privacy Do ChatGPT Users Have? (34:28) The Suspicious Death of Altman’s Former Employee (41:37) Altman’s Thoughts on Elon Musk (43:00) What Jobs Will Be Lost to AI? (47:58) What Are the Downsides of AI? (49:37) Is AI a Religion? (52:31) The Dangers of Deepfakes Includes paid partnerships.

Sam Altman on God, Elon and the mysterious death of his former employee. (0:00) Is AI Alive? Is It Lying to Us? (3:37) Does Sam Altman Believe in God? (6:37) What Is Morally Right and Wrong According to ChatGPT? (19:08) ChatGPT Users Committing Suicide (27:21) Will Altman Allow ChatGPT for Military Use? (29:01) Altman’s Biggest Fear About AI (31:39) Will AI Bring About Totalitarian Control? (32:48) How Much Privacy Do ChatGPT Users Have? (34:28) The Suspicious Death of Altman’s Former Employee (41:37) Altman’s Thoughts on Elon Musk (43:00) What Jobs Will Be Lost to AI? (47:58) What Are the Downsides of AI? (49:37) Is AI a Religion? (52:31) The Dangers of Deepfakes Includes paid partnerships.

Tucker Carlson

12,175,593 просмотров • 10 месяцев назад

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

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

1,374,629 просмотров • 1 год назад

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

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

1,454,510 просмотров • 1 год назад

Here's my conversation with Aravind Srinivas (Aravind Srinivas), CEO of Perplexity. We talk about the history & future of AI, web search, and the Internet. Plus, lots of great advice on how to start and run a company. I met Aravind many years ago at Berkeley, and it was a bit surreal to sit down now and talk about the amazing progress in AI that happened since then. This was a fun and fascinating conversation. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:53 - How Perplexity works 9:50 - How Google works 32:17 - Larry Page and Sergey Brin 46:52 - Jeff Bezos 50:20 - Elon Musk 52:38 - Jensen Huang 55:55 - Mark Zuckerberg 57:23 - Yann LeCun 1:04:09 - Breakthroughs in AI 1:20:07 - Curiosity 1:26:24 - $1 trillion dollar question 1:41:14 - Perplexity origin story 1:56:27 - RAG 2:18:45 - 1 million H100 GPUs 2:21:17 - Advice for startups 2:33:54 - Future of search

Here's my conversation with Aravind Srinivas (Aravind Srinivas), CEO of Perplexity. We talk about the history & future of AI, web search, and the Internet. Plus, lots of great advice on how to start and run a company. I met Aravind many years ago at Berkeley, and it was a bit surreal to sit down now and talk about the amazing progress in AI that happened since then. This was a fun and fascinating conversation. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:53 - How Perplexity works 9:50 - How Google works 32:17 - Larry Page and Sergey Brin 46:52 - Jeff Bezos 50:20 - Elon Musk 52:38 - Jensen Huang 55:55 - Mark Zuckerberg 57:23 - Yann LeCun 1:04:09 - Breakthroughs in AI 1:20:07 - Curiosity 1:26:24 - $1 trillion dollar question 1:41:14 - Perplexity origin story 1:56:27 - RAG 2:18:45 - 1 million H100 GPUs 2:21:17 - Advice for startups 2:33:54 - Future of search

Lex Fridman

703,701 просмотров • 2 лет назад

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 married and having kids. X limits video length to 6 hours. So this full convo doesn't fit (by a few minutes). So, the first 6 hours are here on X. The full version is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:32 - Programming - early days 19:57 - JavaScript 30:16 - Google Chrome and DOJ 38:03 - Ruby programming language 45:14 - Beautiful code 1:03:15 - Metaprogramming 1:06:36 - Dynamic typing 1:13:55 - Scaling 1:26:47 - Future of programming 1:44:18 - Future of AI 1:50:13 - Vibe coding 1:58:45 - Rails manifesto: Principles of a great programming language 2:23:11 - Why managers are useless 2:32:32 - Small teams 2:38:39 - Jeff Bezos 2:53:57 - Why meetings are toxic 3:01:43 - Case against retirement 3:09:00 - Hard work 3:14:38 - Why we left the cloud 3:17:48 - AWS 3:27:07 - Owning your own servers 3:33:19 - Elon Musk 3:43:01 - Apple 3:54:48 - Tim Sweeney 4:06:22 - Fatherhood 4:32:04 - Racing 4:59:08 - Cars 5:04:26 - Programming setup 5:19:35 - Programming language for beginners 5:32:53 - Open source 5:41:46 - WordPress drama 5:53:03 - Money and happiness 6:01:56 - Hope

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 married and having kids. X limits video length to 6 hours. So this full convo doesn't fit (by a few minutes). So, the first 6 hours are here on X. The full version is up everywhere else (see comment). Timestamps: 0:00 - Episode highlight 1:21 - Introduction 2:32 - Programming - early days 19:57 - JavaScript 30:16 - Google Chrome and DOJ 38:03 - Ruby programming language 45:14 - Beautiful code 1:03:15 - Metaprogramming 1:06:36 - Dynamic typing 1:13:55 - Scaling 1:26:47 - Future of programming 1:44:18 - Future of AI 1:50:13 - Vibe coding 1:58:45 - Rails manifesto: Principles of a great programming language 2:23:11 - Why managers are useless 2:32:32 - Small teams 2:38:39 - Jeff Bezos 2:53:57 - Why meetings are toxic 3:01:43 - Case against retirement 3:09:00 - Hard work 3:14:38 - Why we left the cloud 3:17:48 - AWS 3:27:07 - Owning your own servers 3:33:19 - Elon Musk 3:43:01 - Apple 3:54:48 - Tim Sweeney 4:06:22 - Fatherhood 4:32:04 - Racing 4:59:08 - Cars 5:04:26 - Programming setup 5:19:35 - Programming language for beginners 5:32:53 - Open source 5:41:46 - WordPress drama 5:53:03 - Money and happiness 6:01:56 - Hope

Lex Fridman

4,016,140 просмотров • 1 год назад

Here's my conversation with Ivanka Trump, a businesswoman, real estate developer, and former senior advisor to the President of the United States. We talk about politics, architecture, philosophy, fashion, music, parenting, martial arts, and much more. I've gotten to know Ivanka well over the past 2 years. We first connected over our mutual love of reading and discussing books (for example by Marcus Aurelius, Joseph Campbell, Alan Watts, etc). She is a truly kind, compassionate, and thoughtful human being, and I'm honored to be able to call her a friend. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:57 - Architecture 14:12 - Modern architecture 21:45 - Philosophy of design 30:01 - Lessons from mother 53:07 - Lessons from father 1:01:39 - Fashion 1:12:35 - Hotel design 1:23:44 - Self-doubt 1:26:07 - Intuition 1:29:17 - The Apprentice 1:33:51 - Michael Jackson 1:35:26 - Nature 1:40:20 - Surfing 1:42:31 - Donald Trump 1:56:53 - Politics 2:13:05 - Work-life balance 2:19:33 - Parenting 2:34:40 - 2024 presidential campaign 2:38:17 - Dolly Parton 2:40:02 - Adele 2:40:32 - Alice Johnson 2:45:56 - Stevie Ray Vaughan 2:48:41 - Aretha Franklin 2:49:51 - Freddie Mercury 2:50:56 - Jiu jitsu 2:58:01 - Bucket list 3:02:30 - Hope

Here's my conversation with Ivanka Trump, a businesswoman, real estate developer, and former senior advisor to the President of the United States. We talk about politics, architecture, philosophy, fashion, music, parenting, martial arts, and much more. I've gotten to know Ivanka well over the past 2 years. We first connected over our mutual love of reading and discussing books (for example by Marcus Aurelius, Joseph Campbell, Alan Watts, etc). She is a truly kind, compassionate, and thoughtful human being, and I'm honored to be able to call her a friend. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:57 - Architecture 14:12 - Modern architecture 21:45 - Philosophy of design 30:01 - Lessons from mother 53:07 - Lessons from father 1:01:39 - Fashion 1:12:35 - Hotel design 1:23:44 - Self-doubt 1:26:07 - Intuition 1:29:17 - The Apprentice 1:33:51 - Michael Jackson 1:35:26 - Nature 1:40:20 - Surfing 1:42:31 - Donald Trump 1:56:53 - Politics 2:13:05 - Work-life balance 2:19:33 - Parenting 2:34:40 - 2024 presidential campaign 2:38:17 - Dolly Parton 2:40:02 - Adele 2:40:32 - Alice Johnson 2:45:56 - Stevie Ray Vaughan 2:48:41 - Aretha Franklin 2:49:51 - Freddie Mercury 2:50:56 - Jiu jitsu 2:58:01 - Bucket list 3:02:30 - Hope

Lex Fridman

7,243,902 просмотров • 2 лет назад

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

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

458,494 просмотров • 1 год назад

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack

Matt Turck

11,908 просмотров • 2 месяцев назад

🚨Keith Rabois on Perplexity's AI browser: "It's a great Hail Mary attempt" because " absent something like this, Perplexity is toast." @jason: "OpenAI and Perplexity are going after the browser." "Perplexity launched Comet for their $200/month tier." "This is a really interesting category. Having your browser connected to agents lets you do really interesting things." Keith Rabois: "I think it's a great Hail Mary attempt by Perplexity." "I think absent something like this, Perplexity is toast." "Like, per the stat about ChatGPT going to a billion users, it's becoming the verb, you know, the way you describe using AI for a normal consumer." "There's nothing left of Perplexity if they can't pull this off." "So it's a great idea because the history of consumer technology companies is, whoever has uphill ground, like in a military sense, whoever's first has a lot of control." "This is actually what Google should be doing, truthfully." "I think Google Search is toast." "And since they have Chrome and they theoretically have a quality team in Gemini, they should be putting these two things together and hoping to compete with ChatGPT." "They're gonna lose the search game. The assets that are best at Google right now have nothing to do with search." "It's every other product that's the only thing that's gonna save that company if they can figure out how to use them."

🚨Keith Rabois on Perplexity's AI browser: "It's a great Hail Mary attempt" because " absent something like this, Perplexity is toast." @jason: "OpenAI and Perplexity are going after the browser." "Perplexity launched Comet for their $200/month tier." "This is a really interesting category. Having your browser connected to agents lets you do really interesting things." Keith Rabois: "I think it's a great Hail Mary attempt by Perplexity." "I think absent something like this, Perplexity is toast." "Like, per the stat about ChatGPT going to a billion users, it's becoming the verb, you know, the way you describe using AI for a normal consumer." "There's nothing left of Perplexity if they can't pull this off." "So it's a great idea because the history of consumer technology companies is, whoever has uphill ground, like in a military sense, whoever's first has a lot of control." "This is actually what Google should be doing, truthfully." "I think Google Search is toast." "And since they have Chrome and they theoretically have a quality team in Gemini, they should be putting these two things together and hoping to compete with ChatGPT." "They're gonna lose the search game. The assets that are best at Google right now have nothing to do with search." "It's every other product that's the only thing that's gonna save that company if they can figure out how to use them."

The All-In Podcast

45,297 просмотров • 1 год назад

Here's my conversation with Marc Raibert, founder and long-time CEO of Boston Dynamics, and head of their new AI Institute, all about the history and future of robotics. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:43 - Early robots 6:47 - Legged robots 25:27 - Boston Dynamics 28:45 - BigDog 36:52 - Hydraulic actuation 38:44 - Natural movement 44:31 - Leg Lab 51:23 - AI Institute 54:41 - Athletic intelligence 1:02:35 - Building a team 1:05:37 - Videos 1:13:25 - Engineering 1:16:53 - Dancing robots 1:21:40 - Hiring 1:25:32 - Optimus robot 1:34:02 - Future of robotics 1:38:56 - Advice for young people

Here's my conversation with Marc Raibert, founder and long-time CEO of Boston Dynamics, and head of their new AI Institute, all about the history and future of robotics. It's here on X in full, and is up on YouTube, Spotify, and everywhere else. Links in comment. Timestamps: 0:00 - Introduction 1:43 - Early robots 6:47 - Legged robots 25:27 - Boston Dynamics 28:45 - BigDog 36:52 - Hydraulic actuation 38:44 - Natural movement 44:31 - Leg Lab 51:23 - AI Institute 54:41 - Athletic intelligence 1:02:35 - Building a team 1:05:37 - Videos 1:13:25 - Engineering 1:16:53 - Dancing robots 1:21:40 - Hiring 1:25:32 - Optimus robot 1:34:02 - Future of robotics 1:38:56 - Advice for young people

Lex Fridman

484,938 просмотров • 2 лет назад