Loading video...

Video Failed to Load

Go Home

Does NATURE hold the solution the AI Alignment problem? Emmett Shear thinks so 👇 I recently sat down with Emmett Shear to discuss his "organic", bottom-up approach to aligning superintelligence, and why he thinks the big labs will likely fail using current methods. So if you like designing Gods,...

Liv_Boeree's profile picture

Liv Boeree

267,114 subscribers

15,652 views • 9 months ago •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Full conversation with Luke Alexander on the real reason he shut down his business to bootstrap an AI SaaS. 0:00 Where It Started 4:39 No Internet Rural Ohio 7:21 Leaving Home to Save His Family 9:13 Dropping Out With $500 11:08 Cold DMing His First Client 13:14 Family Responsibility and What Drives Him 16:21 Why Anxiety Doesn't Exist 19:14 Suffering Is the Only Real Skill 21:18 Shutting Down the Agency 25:30 Moving to Miami With 15K 27:08 Launching Closer Cartel 70K Month One 31:01 The Character He Had to Play 33:08 The $12K Car and the Info Meta 36:48 Idols Becoming Brothers 40:06 Retiring His Mom First Million 41:41 His Dad the Restraining Order 43:20 The Man Who Stepped In 47:15 Burnout and Losing the Passion 50:16 The Moment He Walked Away 53:28 Why Info Rewards the Wrong Behavior 56:02 Spiritual Warfare in Miami 1:04:29 Living in Alignment 1:07:56 What He Wants to Look Back On 1:12:18 Why He Built Kindo 1:17:32 The Real Moat Is Taste 1:20:03 Learning Enterprise Sales 1:23:43 Bootstrapping vs Raising 1:26:03 How Kindo Works 1:29:05 AI Will Replace Sales Reps 1:36:09 Genetics and the Real Red Pill 1:39:53 Vision at 30 1:46:13 What It Means to Be a Good Dad 1:49:46 Looking for a Unicorn in Miami 1:51:29 Final Words
1:54:02

Full conversation with Luke Alexander on the real reason he shut down his business to bootstrap an AI SaaS. 0:00 Where It Started 4:39 No Internet Rural Ohio 7:21 Leaving Home to Save His Family 9:13 Dropping Out With $500 11:08 Cold DMing His First Client 13:14 Family Responsibility and What Drives Him 16:21 Why Anxiety Doesn't Exist 19:14 Suffering Is the Only Real Skill 21:18 Shutting Down the Agency 25:30 Moving to Miami With 15K 27:08 Launching Closer Cartel 70K Month One 31:01 The Character He Had to Play 33:08 The $12K Car and the Info Meta 36:48 Idols Becoming Brothers 40:06 Retiring His Mom First Million 41:41 His Dad the Restraining Order 43:20 The Man Who Stepped In 47:15 Burnout and Losing the Passion 50:16 The Moment He Walked Away 53:28 Why Info Rewards the Wrong Behavior 56:02 Spiritual Warfare in Miami 1:04:29 Living in Alignment 1:07:56 What He Wants to Look Back On 1:12:18 Why He Built Kindo 1:17:32 The Real Moat Is Taste 1:20:03 Learning Enterprise Sales 1:23:43 Bootstrapping vs Raising 1:26:03 How Kindo Works 1:29:05 AI Will Replace Sales Reps 1:36:09 Genetics and the Real Red Pill 1:39:53 Vision at 30 1:46:13 What It Means to Be a Good Dad 1:49:46 Looking for a Unicorn in Miami 1:51:29 Final Words

Grant

33,376 views • 3 months ago

PGX Ideas with Aravind Srinivas, Co-founder and CEO of Perplexity - What does it mean to be intelligent? Why humans wonder. Why we create. Whether AI understands anything at all or is it merely mimicking intelligence. And the deeper questions that follow from that. We spoke about emergence, India’s competitive culture, China, behaviorism, memory, learning, hardware, and the question of where this all leads. The AI Hindi-dubbed version of this episode is also attached in this thread. Enjoy. Timestamps 00:00 - How did Aravind get into AI? 13:05 - India’s competitive culture 15:05 - Talent problem or system failure? 16:25 - How can India evolve? 17:45 - China’s approach to research 21:02 - What’s cutting-edge in AI today? 25:02 - What creates value in an economy? 28:45 - What is the internet built on? 32:48 - Can AI assist humans? 35:25 - Why do humans wonder? 37:25 - Why do humans create? 40:50 - Does memory still matter? 43:15 - Does curiosity create knowledge? 45:40 - Biological vs artificial intelligence 51:24 - Is curiosity uniquely human? 58:55 - Can AI shape human thinking? 1:05:24 - Do we understand intelligence? 1:10:50 - Meaning beyond behaviorism 1:21:48 - How do kids learn to learn? 1:25:43 - Why is hardware innovation hard? 1:31:19 - Can AI feel? 1:47:35 - Questions for me
1:45:37

PGX Ideas with Aravind Srinivas, Co-founder and CEO of Perplexity - What does it mean to be intelligent? Why humans wonder. Why we create. Whether AI understands anything at all or is it merely mimicking intelligence. And the deeper questions that follow from that. We spoke about emergence, India’s competitive culture, China, behaviorism, memory, learning, hardware, and the question of where this all leads. The AI Hindi-dubbed version of this episode is also attached in this thread. Enjoy. Timestamps 00:00 - How did Aravind get into AI? 13:05 - India’s competitive culture 15:05 - Talent problem or system failure? 16:25 - How can India evolve? 17:45 - China’s approach to research 21:02 - What’s cutting-edge in AI today? 25:02 - What creates value in an economy? 28:45 - What is the internet built on? 32:48 - Can AI assist humans? 35:25 - Why do humans wonder? 37:25 - Why do humans create? 40:50 - Does memory still matter? 43:15 - Does curiosity create knowledge? 45:40 - Biological vs artificial intelligence 51:24 - Is curiosity uniquely human? 58:55 - Can AI shape human thinking? 1:05:24 - Do we understand intelligence? 1:10:50 - Meaning beyond behaviorism 1:21:48 - How do kids learn to learn? 1:25:43 - Why is hardware innovation hard? 1:31:19 - Can AI feel? 1:47:35 - Questions for me

Prakhar Gupta

31,940 views • 7 months ago

NEW POD | EP 76 🎙️ Q4 State of The Crypto Market ft. Imran Khan & qw 1:05 We’re Back 2:25 Where Are We In This Cycle? 4:31 AI and Stock Market 6:27 AI Bubble 10:15 Energy Consumption and Production 16:34 China and US Innovation 17:44 Aster 18:52 Hyperliquid and Aster Competition 22:48 Proxy Wars in Crypto 26:33 Future of Crypto Exchanges 27:32 Binance vs Solana 32:59 Moats in Crypto 33:43 Crypto Lending 35:25 TradFi Banking and Crypto Custody 36:48 Social Aspect in Crypto 38:09 AI Glasses and Social Media 45:05 Waymo and Robo Taxis 49:10 Prediction Markets 50:54 Kalshi and PolyMarket Competition 55:27 Convergence of Speculative Markets 57:35 59:00 Overheard 1:02:08 DATs 1:05:26 Stripe and Stablecoins 1:07:10 Genius Act and New Stablecoins 1:07:43 Stablecoin as a Micropayment 1:11:23 Pump and Streaming 1:14:53 Apps to Watch 1:17:12 Stablecoin Growth 1:19:11 Stablecoin Startups in Different Regions 1:20:05 Novel Ideas for Startups 1:24:03 Wen Cycle Top? Link ↓
1:27:10

NEW POD | EP 76 🎙️ Q4 State of The Crypto Market ft. Imran Khan & qw 1:05 We’re Back 2:25 Where Are We In This Cycle? 4:31 AI and Stock Market 6:27 AI Bubble 10:15 Energy Consumption and Production 16:34 China and US Innovation 17:44 Aster 18:52 Hyperliquid and Aster Competition 22:48 Proxy Wars in Crypto 26:33 Future of Crypto Exchanges 27:32 Binance vs Solana 32:59 Moats in Crypto 33:43 Crypto Lending 35:25 TradFi Banking and Crypto Custody 36:48 Social Aspect in Crypto 38:09 AI Glasses and Social Media 45:05 Waymo and Robo Taxis 49:10 Prediction Markets 50:54 Kalshi and PolyMarket Competition 55:27 Convergence of Speculative Markets 57:35 59:00 Overheard 1:02:08 DATs 1:05:26 Stripe and Stablecoins 1:07:10 Genius Act and New Stablecoins 1:07:43 Stablecoin as a Micropayment 1:11:23 Pump and Streaming 1:14:53 Apps to Watch 1:17:12 Stablecoin Growth 1:19:11 Stablecoin Startups in Different Regions 1:20:05 Novel Ideas for Startups 1:24:03 Wen Cycle Top? Link ↓

Good Game

51,608 views • 10 months ago

How GPT-5 thinks, with OpenAI VP of Research Jerry Tworek 00:00 - Intro 01:01 - What Reasoning Actually Means in AI 02:32 - Chain of Thought: Models Thinking in Words 05:25 - How Models Decide How Long to Think 07:24 - Evolution from o1 to o3 to GPT-5 11:00 - The Road to OpenAI: Growing up in Poland, Dropping out of School, Trading 20:32 - Working on Robotics and Rubik's Cube Solving 23:02 - A Day in the Life: Talking to Researchers 24:06 - How Research Priorities Are Determined 26:53 - OpenAI's Culture of Transparency 29:32 - Balancing Research with Shipping Fast 31:52 - Using OpenAI's Own Tools Daily 32:43 - Pre-Training Plus RL: The Modern AI Stack 35:10 - Reinforcement Learning 101: Training Dogs 40:17 - The Evolution of Deep Reinforcement Learning 42:09 - When GPT-4 Seemed Underwhelming at First 45:39 - How RLHF Made GPT-4 Actually Useful 48:02 - Unsupervised vs Supervised Learning 49:59 - GRPO and How DeepSeek Accelerated US Research 53:05 - What It Takes to Scale Reinforcement Learning 55:36 - Agentic AI and Long-Horizon Thinking 59:19 - Alignment as an RL Problem 1:01:11 - Winning ICPC World Finals Without Specific Training 1:05:53 - Applying RL Beyond Math and Coding 1:09:15 - The Path from Here to AGI 1:12:23 - Pure RL vs Language Models
1:16:04

How GPT-5 thinks, with OpenAI VP of Research Jerry Tworek 00:00 - Intro 01:01 - What Reasoning Actually Means in AI 02:32 - Chain of Thought: Models Thinking in Words 05:25 - How Models Decide How Long to Think 07:24 - Evolution from o1 to o3 to GPT-5 11:00 - The Road to OpenAI: Growing up in Poland, Dropping out of School, Trading 20:32 - Working on Robotics and Rubik's Cube Solving 23:02 - A Day in the Life: Talking to Researchers 24:06 - How Research Priorities Are Determined 26:53 - OpenAI's Culture of Transparency 29:32 - Balancing Research with Shipping Fast 31:52 - Using OpenAI's Own Tools Daily 32:43 - Pre-Training Plus RL: The Modern AI Stack 35:10 - Reinforcement Learning 101: Training Dogs 40:17 - The Evolution of Deep Reinforcement Learning 42:09 - When GPT-4 Seemed Underwhelming at First 45:39 - How RLHF Made GPT-4 Actually Useful 48:02 - Unsupervised vs Supervised Learning 49:59 - GRPO and How DeepSeek Accelerated US Research 53:05 - What It Takes to Scale Reinforcement Learning 55:36 - Agentic AI and Long-Horizon Thinking 59:19 - Alignment as an RL Problem 1:01:11 - Winning ICPC World Finals Without Specific Training 1:05:53 - Applying RL Beyond Math and Coding 1:09:15 - The Path from Here to AGI 1:12:23 - Pure RL vs Language Models

Matt Turck

451,229 views • 9 months ago

The illusion of shared reality: Why no two minds see the same world | Anil Seth & Jonny Thomson Jonny Thomson Anil Seth 0:00 Non-human consciousness 1:40 The current state of consciousness science 2:10 What is consciousness? 4:05 The similarity of conscious experiences 5:48 Consciousness in the brain 11:23 Technology for measuring consciousness 16:03 Measuring consciousness levels 20:33 Pragmatic physicalism and functionalism 23:25 Pansychism 28:25 Emergence 32:35 AI and consciousness 36:49 The difference between non-human animals and AI 41:49 Is artificial consciousness possible? 48:12 Consciousness in the body and outside the brain Consciousness in the future and AI 50:27 Audience Q&A 50:41 Could computers could simulate the brain and body? 59:55 Why are you skeptical about asserting the dependency of life to the consciousness? 1:03:31 If consciousness is so clinical, does it undermine free will?
1:12:15

The illusion of shared reality: Why no two minds see the same world | Anil Seth & Jonny Thomson Jonny Thomson Anil Seth 0:00 Non-human consciousness 1:40 The current state of consciousness science 2:10 What is consciousness? 4:05 The similarity of conscious experiences 5:48 Consciousness in the brain 11:23 Technology for measuring consciousness 16:03 Measuring consciousness levels 20:33 Pragmatic physicalism and functionalism 23:25 Pansychism 28:25 Emergence 32:35 AI and consciousness 36:49 The difference between non-human animals and AI 41:49 Is artificial consciousness possible? 48:12 Consciousness in the body and outside the brain Consciousness in the future and AI 50:27 Audience Q&A 50:41 Could computers could simulate the brain and body? 59:55 Why are you skeptical about asserting the dependency of life to the consciousness? 1:03:31 If consciousness is so clinical, does it undermine free will?

Big Think

15,468 views • 8 months ago

Timestamps of the 47 topics addressed by Elon Musk a few hours ago in Pittsburgh. 1:49 Special guest: Senator James McCormick 7:22 Winner of the $1 million prize 10:43 Importance of registration 11:58 Risk of assassination attempts 13:55 The left is against free speech 17:06 It's illegal to show voter ID 19:24 We want to do exciting things 21:40 Key reasons to reelect Trump 27:14 No wish to do politics but stakes are high 33:02 How to support business opportunities 35:01 Is Elon considering running in 2028? 39:10 Abortion and education around having kids 44:25 Nuclear power is safe 48:42 Be wary of AI 49:37 There will be an increase in robots 53:01 Elon's son will go to college in Pittsburgh 55:01 Protecting children 57:38 Stopping propaganda for children 58:53 Every expenditure should serve people 59:55 Subscribe to X Premium 1:02:14 Optimism grounded in realism 1:04:30 Approving drugs faster 1:08:26 Medical tech should be approved faster 1:10:06 AI and medicine 1:13:02 Solve back pain 1:13:24 Children sex-trafficking 1:15:07 How to handle puppet masters 1:17:16 The more government, the less freedom 1:19:53 Taxes are getting out of hand 1:21:02 Big pharma 1:22:34 New technologies should help people 1:24:50 Ban voting machines 1:28:04 No incentive for nothing 1:30:16 Crypto is good against central control 1:31:09 Many expenditures should be 0 1:33:23 Respect for those who are useful 1:34:23 Aliens must be subtle 1:36:03 Don't damage art 1:37:58 Dogecoin is the most fun crypto 1:41:06 People should worry less and have kids 1:41:53 There will be opposition to reducing spending 1:42:57 The risk is an oppressive totalitarian state 1:46:36 Doing things that are important 1:50:06 We should allow teachers to protect students 1:52:27 Why are some voted not counted 1:56:22 AI will be help people understand 1:57:47 Be loud about your concerns
2:00:15

Timestamps of the 47 topics addressed by Elon Musk a few hours ago in Pittsburgh. 1:49 Special guest: Senator James McCormick 7:22 Winner of the $1 million prize 10:43 Importance of registration 11:58 Risk of assassination attempts 13:55 The left is against free speech 17:06 It's illegal to show voter ID 19:24 We want to do exciting things 21:40 Key reasons to reelect Trump 27:14 No wish to do politics but stakes are high 33:02 How to support business opportunities 35:01 Is Elon considering running in 2028? 39:10 Abortion and education around having kids 44:25 Nuclear power is safe 48:42 Be wary of AI 49:37 There will be an increase in robots 53:01 Elon's son will go to college in Pittsburgh 55:01 Protecting children 57:38 Stopping propaganda for children 58:53 Every expenditure should serve people 59:55 Subscribe to X Premium 1:02:14 Optimism grounded in realism 1:04:30 Approving drugs faster 1:08:26 Medical tech should be approved faster 1:10:06 AI and medicine 1:13:02 Solve back pain 1:13:24 Children sex-trafficking 1:15:07 How to handle puppet masters 1:17:16 The more government, the less freedom 1:19:53 Taxes are getting out of hand 1:21:02 Big pharma 1:22:34 New technologies should help people 1:24:50 Ban voting machines 1:28:04 No incentive for nothing 1:30:16 Crypto is good against central control 1:31:09 Many expenditures should be 0 1:33:23 Respect for those who are useful 1:34:23 Aliens must be subtle 1:36:03 Don't damage art 1:37:58 Dogecoin is the most fun crypto 1:41:06 People should worry less and have kids 1:41:53 There will be opposition to reducing spending 1:42:57 The risk is an oppressive totalitarian state 1:46:36 Doing things that are important 1:50:06 We should allow teachers to protect students 1:52:27 Why are some voted not counted 1:56:22 AI will be help people understand 1:57:47 Be loud about your concerns

ELON CLIPS

6,379,688 views • 1 year ago

Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 - AI data centers in space 1:24:30 - Will NVIDIA be worth $10 trillion? 1:34:39 - Leadership under pressure 1:48:25 - Video games 1:55:16 - AGI timeline 1:57:29 - Future of programming 2:11:01 - Consciousness 2:17:22 - Mortality
2:25:58

Here's my conversation with Jensen Huang, CEO of NVIDIA, the most valuable & one of the most influential companies in the history of human civilization. It is the engine powering the AI revolution. This was a fascinating & inspiring conversation, in parts super-technical on engineering of every part of the AI stack, memory, power, supply chain (TSMC, ASML, etc), in parts about leadership & psychology, and in parts personal & philosophical about life, consciousness, mortality, and human nature. It's here on X in full and is up everywhere else (see comment). Timestamps: 0:00 - Introduction 0:33 - Extreme co-design and rack-scale engineering 3:18 - How Jensen runs NVIDIA 22:40 - AI scaling laws 37:40 - Biggest blockers to AI scaling laws 39:23 - Supply chain 41:18 - Memory 47:24 - Power 52:43 - Elon and Colossus 56:11 - Jensen's approach to engineering and leadership 1:01:37 - China 1:09:50 - TSMC and Taiwan 1:15:04 - NVIDIA's moat 1:20:41 - AI data centers in space 1:24:30 - Will NVIDIA be worth $10 trillion? 1:34:39 - Leadership under pressure 1:48:25 - Video games 1:55:16 - AGI timeline 1:57:29 - Future of programming 2:11:01 - Consciousness 2:17:22 - Mortality

Lex Fridman

2,528,788 views • 4 months ago

E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?
1:45:11

E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?

MR SHIFT 🦁

284,090 views • 1 year ago

Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think
1:16:39

Deeply thoughtful conversation with Zico Kolter, board member at OpenAI and head of the machine learning department at Carnegie Mellon University, about AI safety, AI security, agents and frontier AI 00:00 Intro 01:32 OpenAI board role and Safety & Security Committee 03:53 How OpenAI reviews major model releases 05:33 OpenAI’s preparedness framework explained 09:46 Are frontier AI models getting safer? 12:33 Why AI safety does not come from scale 15:23 The four categories of AI risk 19:38 Doomerism vs accelerationism in AI 24:11 The six-month AI pause debate 26:20 AI safety as a global effort 28:04 How Zico Kolter got into machine learning 31:05 OpenAI in the early days 34:14 Why Carnegie Mellon became an AI powerhouse 38:43 What Gray Swan does in AI security 40:44 AI safety vs AI security 43:15 The GCG jailbreak paper 49:19 How AI labs responded to jailbreak research 50:19 State-of-the-art AI defenses 52:32 State-of-the-art AI attacks 54:22 Why AI agents expand the attack surface 58:39 Are AI agents ready for production? 59:40 Mechanistic interpretability explained 1:02:31 Will AI be safer in two years? 1:03:46 Reinforcement learning and self-improving models 1:08:09 Do post-transformer architectures matter 1:09:29 Best research directions in AI now 1:11:00 Zico Kolter’s Intro to Modern AI course 1:14:53 Why modern AI is simpler than people think

Matt Turck

32,922 views • 2 months ago

What if AI isn’t replacing us, but just redefining what it means to be skilled? Or are we unleashing something humans simply can't keep up with? Spicy new win-win conversation just dropped with the brilliant Harper Carroll on how to harness the best of AI and maintain relevancy in these rapidly evolving times. A rare opportunity to hear an all female perspective on AI, if you're open to it... Chapters 00:00 - Intro & Harper’s Story 04:58 - Growing a Following 07:19 - AI vs Machine Learning 11:18 - Harper’s Mission 18:47 - Her Favorite Applications of AI 27:30 - Choosing Between Tools 29:46 - AI in Schools 33:14 - Regulation 37:01 - Leveling the Playing Field with AI 46:44 - Should People Still Learn to Code? 51:08 - AI Therapists? 58:01 - AI & Spirituality 1:03:23 - Cultivating Intuition and Wisdom 1:09:26 - Silicon Valley, Tech Bros and Femininity 1:16:05 - AI Generated Scams 1:21:15 - The Cat-and-Mouse Game 1:28:33 - The Hive Mind 1:35:24- Agency and Gratitude
1:39:20

What if AI isn’t replacing us, but just redefining what it means to be skilled? Or are we unleashing something humans simply can't keep up with? Spicy new win-win conversation just dropped with the brilliant Harper Carroll on how to harness the best of AI and maintain relevancy in these rapidly evolving times. A rare opportunity to hear an all female perspective on AI, if you're open to it... Chapters 00:00 - Intro & Harper’s Story 04:58 - Growing a Following 07:19 - AI vs Machine Learning 11:18 - Harper’s Mission 18:47 - Her Favorite Applications of AI 27:30 - Choosing Between Tools 29:46 - AI in Schools 33:14 - Regulation 37:01 - Leveling the Playing Field with AI 46:44 - Should People Still Learn to Code? 51:08 - AI Therapists? 58:01 - AI & Spirituality 1:03:23 - Cultivating Intuition and Wisdom 1:09:26 - Silicon Valley, Tech Bros and Femininity 1:16:05 - AI Generated Scams 1:21:15 - The Cat-and-Mouse Game 1:28:33 - The Hive Mind 1:35:24- Agency and Gratitude

Liv Boeree

31,910 views • 1 year ago

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

1,455,273 views • 1 year ago

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

1,261,171 views • 1 year ago

New podcast with Garry Tan, farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers
1:07:52

New podcast with Garry Tan, farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers

Naval

726,364 views • 20 days ago

"The pace of building has changed so quickly with AI. You have to give somewhere. And we gave for speed." Ashwin Sreenivas. Co-founder & President of Decagon. You'd be hard pressed to find another startup moving as ferociously as this one. Knuckle Up ↓ 00:00 Intro 02:10 How did Jesse and Ashwin decide what to work on at Decagon? 04:19 Why did they reject the top-down market-sizing approach? 13:16 What does Decagon give up to keep moving fast? 17:54 6 days in-office for founders, 5 for everyone else. 23:33 Why didn't Decagon hire a single employee until $1M in ARR? 27:12 How do you hire 450 people in three years without compromising quality? 31:20 Are Decagon engineers even writing code anymore? 35:08 How does the IC engineer role change with Claude Code and Cursor? 36:32 How does EPD leadership change in the AI era? 40:15 Two types of FDE, and which one do most AI companies actually need? 49:21 How will the human role at Decagon evolve over three years? 57:15 Why is Decagon building its own models with Decagon Labs? 1:00:50 What worries Ashwin most about Decagon today? 1:03:52 How does Ashwin manage his psyche while running this fast? 1:08:00 Hiccups in the startup journey. 1:09:50 Quickfire: overrated advice, AI products, books, red flags 1:12:43 What would Ashwin tell his younger self about Decagon's journey?
1:13:32

"The pace of building has changed so quickly with AI. You have to give somewhere. And we gave for speed." Ashwin Sreenivas. Co-founder & President of Decagon. You'd be hard pressed to find another startup moving as ferociously as this one. Knuckle Up ↓ 00:00 Intro 02:10 How did Jesse and Ashwin decide what to work on at Decagon? 04:19 Why did they reject the top-down market-sizing approach? 13:16 What does Decagon give up to keep moving fast? 17:54 6 days in-office for founders, 5 for everyone else. 23:33 Why didn't Decagon hire a single employee until $1M in ARR? 27:12 How do you hire 450 people in three years without compromising quality? 31:20 Are Decagon engineers even writing code anymore? 35:08 How does the IC engineer role change with Claude Code and Cursor? 36:32 How does EPD leadership change in the AI era? 40:15 Two types of FDE, and which one do most AI companies actually need? 49:21 How will the human role at Decagon evolve over three years? 57:15 Why is Decagon building its own models with Decagon Labs? 1:00:50 What worries Ashwin most about Decagon today? 1:03:52 How does Ashwin manage his psyche while running this fast? 1:08:00 Hiccups in the startup journey. 1:09:50 Quickfire: overrated advice, AI products, books, red flags 1:12:43 What would Ashwin tell his younger self about Decagon's journey?

Nakul Mandan

440,533 views • 2 months ago