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From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown. Our VP Research Zoubin Ghahramani explores with Hannah Fry why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 Watch the episode ↓ Timecodes: 00:00 Introduction 01:06 The role of uncertainty 07:45...

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Google DeepMind

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On the latest episode of our podcast, research lead Irina and host Hannah Fry discuss the exciting potential of AI tutors – like our LearnLM Learning Coach on YouTube – to personalize learning and support teachers. 🧠 Watch the full episode now ↓ Timestamps: 00:06 Intro 01:37 Breaking into education 04:08 AI tutor 08:12 The future 10:38 Irina's journey 13:53 Reasoning and teaching 15:05 The optimal strategy for teaching 17:54 Good pedagogy 21:15 GenAI for Education 23:50 AI for history 27:55 Arizona State University 29:43 Self disclosure and anthropomorphism 34:45 Cheating and student engagement 37:00 Dependency on AI 39:42 Research results 41:25 Reflections from Hannah
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On the latest episode of our podcast, research lead Irina and host Hannah Fry discuss the exciting potential of AI tutors – like our LearnLM Learning Coach on YouTube – to personalize learning and support teachers. 🧠 Watch the full episode now ↓ Timestamps: 00:06 Intro 01:37 Breaking into education 04:08 AI tutor 08:12 The future 10:38 Irina's journey 13:53 Reasoning and teaching 15:05 The optimal strategy for teaching 17:54 Good pedagogy 21:15 GenAI for Education 23:50 AI for history 27:55 Arizona State University 29:43 Self disclosure and anthropomorphism 34:45 Cheating and student engagement 37:00 Dependency on AI 39:42 Research results 41:25 Reflections from Hannah

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1/ New episode – Enabling AI Models to Drive Robots with Michael Cho - Rbt/Acc from BitRobot 🦾 Hosts: Connor Lovely 🎬 EV3 Sal We discuss: - Building the world's largest robotic driving dataset - Working with researchers from Google DeepMind - Launching a memecoin ($SAM) pre-TGE Timestamps: 00:00 - Introduction 01:47 - Intersection of Robotics and AI 02:50 - Real-World Evaluation vs. Digital AI 06:00 - The Importance of Real-World Testing 07:07 - Mapping and Navigation in Robotics 08:12 - Value of Real-World Data for AI 09:38 - Differences in Data Utility 13:07 - Exploring Different Robotic Form Factors 14:04 - Cross-Embodiment in Robotics 16:35 - Introduction to BitRobot 17:30 - Transition from Frotobots to BitRobot 22:05 - Future Plans for BitRobot 24:27 - Meme Coins in Community Building 27:46 - Conclusion Watch on all platforms below ⬇️

Proof of Coverage | Tech’s Creative Agency

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From clumsy movements to dexterous manipulation – how did robotics make such significant leaps? 🤖 Tune into our podcast episode with Hannah Fry and Carolina Parada – our Senior Director and Head of Robotics – to explore how our robots can see, understand, and reason about the world around them. Watch now ↓ Timestamps: 00:00 Introduction 01:46 Carolina's background 02:57 Current state of robotics 05:20 Gemini robotics videos 12:45 Conceptual understanding & multimodal capabilities 16:50 Embodied reasoning 21:00 Thinking fast and slow 27:44 Emerging properties 24:53 Looking back 34:28 Sim2real gap 37:00 Safety 42:00 Work to be done 45:00 Hannah's thoughts
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From clumsy movements to dexterous manipulation – how did robotics make such significant leaps? 🤖 Tune into our podcast episode with Hannah Fry and Carolina Parada – our Senior Director and Head of Robotics – to explore how our robots can see, understand, and reason about the world around them. Watch now ↓ Timestamps: 00:00 Introduction 01:46 Carolina's background 02:57 Current state of robotics 05:20 Gemini robotics videos 12:45 Conceptual understanding & multimodal capabilities 16:50 Embodied reasoning 21:00 Thinking fast and slow 27:44 Emerging properties 24:53 Looking back 34:28 Sim2real gap 37:00 Safety 42:00 Work to be done 45:00 Hannah's thoughts

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How do we build a world where AGI helps humanity flourish? 🌱 Our co-founder and Chief AGI Scientist Shane Legg discusses the potential for a "golden age" of discovery and the societal shifts we need to prepare for – all on our podcast, with Hannah Fry ↓ Timecodes 00:00 Coming up 00:41 Intro 13:43 Defining artificial general intelligence 26:20 Ethics of AGI 40:10 Societal and economic transformation 45:10 Future of work 50:00 Potential for human flourishing
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How do we build a world where AGI helps humanity flourish? 🌱 Our co-founder and Chief AGI Scientist Shane Legg discusses the potential for a "golden age" of discovery and the societal shifts we need to prepare for – all on our podcast, with Hannah Fry ↓ Timecodes 00:00 Coming up 00:41 Intro 13:43 Defining artificial general intelligence 26:20 Ethics of AGI 40:10 Societal and economic transformation 45:10 Future of work 50:00 Potential for human flourishing

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Join our VP (Drastic) Research, Gemini co-Tech Lead Oriol Vinyals and our podcast host Hannah Fry as they discuss the evolution of our AI models, from AlphaGo to Gemini. They also cover agentic capabilities and why giving AI access to tools could lead to a new era of problem-solving. Listen now ↓ Timecodes: 00:00 Intro 02:30 Games and early AI agents 04:28 Weights 09:27 Architectures and a digital brain 10:24 Agentic behaviour 13:31 Digital body 14:09 Scaling 19:02 Data 20:59 Complex understanding and knowledge 25:14 Post training challenges 30:43 Reasoning 33:11 Planning 34:19 Systems 2 37:00 Memory 40:54 Gemini and agentic capabilities
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Join our VP (Drastic) Research, Gemini co-Tech Lead Oriol Vinyals and our podcast host Hannah Fry as they discuss the evolution of our AI models, from AlphaGo to Gemini. They also cover agentic capabilities and why giving AI access to tools could lead to a new era of problem-solving. Listen now ↓ Timecodes: 00:00 Intro 02:30 Games and early AI agents 04:28 Weights 09:27 Architectures and a digital brain 10:24 Agentic behaviour 13:31 Digital body 14:09 Scaling 19:02 Data 20:59 Complex understanding and knowledge 25:14 Post training challenges 30:43 Reasoning 33:11 Planning 34:19 Systems 2 37:00 Memory 40:54 Gemini and agentic capabilities

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What happens when millions of AI agents start negotiating, transacting, and delegating to one another? Nenad Tomasev joined our podcast with Hannah Fry to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink. Timecodes: 00:00 Intro 1:07 Defining AI agents 4:44 Agentic exploration in science and research 15:46 Delegation between agents 22:46 Agentic security and traps 29:31 Building an agentic economy 33:22 Cognitive monoculture 36:29 Distributed intelligence
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What happens when millions of AI agents start negotiating, transacting, and delegating to one another? Nenad Tomasev joined our podcast with Hannah Fry to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink. Timecodes: 00:00 Intro 1:07 Defining AI agents 4:44 Agentic exploration in science and research 15:46 Delegation between agents 22:46 Agentic security and traps 29:31 Building an agentic economy 33:22 Cognitive monoculture 36:29 Distributed intelligence

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Join my conversation with Elon Musk on AGI timelines, energy, robots, and why abundance is the most likely outcome for humanity's future, alongside my Moonshot Mate NOTDAVID! (00:00) - Navigating the Future of AI and Robotics (04:54) - The Promise of Abundance and Optimism (10:02) - Energy: The Key to a Sustainable Future (15:00) - The Role of Education in a Changing World (41:07) - Health, Longevity, and the Future of Humanity (50:51) - AI's Impact on Labor and Employment (55:05) - Universal High Income: A New Economic Paradigm (57:58) - Navigating the Singularity and AI's Acceleration (01:02:30) - The Role of AI in Healthcare and Surgery (01:08:22) - Ethics and AI: Programming Values into Machines (01:14:18) - The Future of Space Exploration and AI's Role (01:33:30) - The Chip Shortage Crisis (01:42:46) - Simulation Theory and Consciousness (01:48:18) - The Search for Extraterrestrial Life (01:58:28) - The Future of Robotics and AI Integration
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Join my conversation with Elon Musk on AGI timelines, energy, robots, and why abundance is the most likely outcome for humanity's future, alongside my Moonshot Mate NOTDAVID! (00:00) - Navigating the Future of AI and Robotics (04:54) - The Promise of Abundance and Optimism (10:02) - Energy: The Key to a Sustainable Future (15:00) - The Role of Education in a Changing World (41:07) - Health, Longevity, and the Future of Humanity (50:51) - AI's Impact on Labor and Employment (55:05) - Universal High Income: A New Economic Paradigm (57:58) - Navigating the Singularity and AI's Acceleration (01:02:30) - The Role of AI in Healthcare and Surgery (01:08:22) - Ethics and AI: Programming Values into Machines (01:14:18) - The Future of Space Exploration and AI's Role (01:33:30) - The Chip Shortage Crisis (01:42:46) - Simulation Theory and Consciousness (01:48:18) - The Search for Extraterrestrial Life (01:58:28) - The Future of Robotics and AI Integration

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EPISODE 158: Nima Ghamsari on the Power of AI Agents & Infinite Workforce Joe Lonsdale sits down with Nima Ghamsari to cover some favorite stories from Palantir, why he's all-in on AI agents, Blend's comeback story, and more. (00:00) Episode intro (01:45) Making millions playing poker to joining Palantir (06:00) Most important lessons from Palantir (07:30) Founding $BLND / understanding the mortgage industry (11:25) How to win over banks and risk-averse customers (15:50) Blend's meteoric rise and fall (19:00) Going all-in on AI agents / Blend's Act II (22:55) efficient markets / is Blend undervalued today? (26:50) Impact of AI on internal operations / increased productivity (32:00) The future of SaaS (36:20) The optimistic case for AI
38:57

EPISODE 158: Nima Ghamsari on the Power of AI Agents & Infinite Workforce Joe Lonsdale sits down with Nima Ghamsari to cover some favorite stories from Palantir, why he's all-in on AI agents, Blend's comeback story, and more. (00:00) Episode intro (01:45) Making millions playing poker to joining Palantir (06:00) Most important lessons from Palantir (07:30) Founding $BLND / understanding the mortgage industry (11:25) How to win over banks and risk-averse customers (15:50) Blend's meteoric rise and fall (19:00) Going all-in on AI agents / Blend's Act II (22:55) efficient markets / is Blend undervalued today? (26:50) Impact of AI on internal operations / increased productivity (32:00) The future of SaaS (36:20) The optimistic case for AI

American Optimist

158,396 görüntüleme • 2 ay önce

This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks
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This week on The Knowledge Project: A rare interview with Bruce Flatt, the quiet force behind 19% annual returns for 30 years, reveals the investment principles that transformed Brookfield into a $1T global powerhouse. "Our view always has been 'Buy the best.' Own the best, buy the best; continue to reinvest into the best." (00:00:54) Changes in Investing Over the Past 25 Years (00:02:50) How Private Enterprise Has Built Our Tech Infrastructure (00:05:07) Implications and Opportunities of Passive Investing (00:14:40) AI (00:19:39) Transition to Low-Carbon Energy (00:23:19) Future of Data Centers (00:25:28) De-globalization of Industry (00:27:55) Implications of Manufacturing Repatriation (00:29:06) Long-term Prospects for America (00:31:35) Changes in Real Estate (00:34:13) Approach to Risk and Debt (00:38:40) Managing Market Dislocations (00:40:22) Long-term Investing Strategy (00:42:59) History and Future of Brookfield (00:45:48) Exploration of Private Markets and Insurance (00:46:41) Investment Decision Process (00:48:34) Introduction to Annuities (00:53:10) Understanding Brookfield’s Structure (01:00:51) Focus on Downside Protection (01:02:56) Accountability in Investment Decisions (01:04:24) Understanding Investment Cycles (01:06:59) Postmortem Analysis of Investments (01:09:07) Consideration of Geopolitical Risks

The Knowledge Project

453,197 görüntüleme • 1 yıl önce

Had a great talk with Anjney Midha about why he left a16z to start AMP PBC (raised $1.3B), his early bet on Anthropic, the importance of Japan in AI, his class at Stanford and a lot more. I didn't make him cry like Harry Stebbings, but I think it was a fun conversation about the future of AI Infra. Enjoy! 00:00 Introduction to AMP and AI Infrastructure 03:07 Transition from A16Z to AMP 06:01 Understanding AMP's Role in AI Compute 08:57 The Concept of a Compute Grid 11:59 The Need for Standardization in AI Infrastructure 14:59 Education and Collaboration in AI Development 17:59 Global Perspectives on AI Infrastructure 21:03 Japan's Role in AI and Robotics 23:14 Cultural Connections: Japan and Germany 25:08 The Journey to Teaching at Stanford 26:04 Security in Infrastructure: Lessons Learned 27:50 Cybersecurity and AI: A New Frontier 29:27 The Importance of Redundancy in Cybersecurity 30:39 Investing in AI: The Anthropic Experience 32:54 Wealth Creation and Public Participation 34:06 Infrastructure Bottlenecks in AI Development 36:57 Global Perspectives on Data Centers 39:11 The Need for Education on AI Benefits 42:07 Learning from China: A Systems Approach 45:47 Conclusion: Coordinating the Western Frontier
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Had a great talk with Anjney Midha about why he left a16z to start AMP PBC (raised $1.3B), his early bet on Anthropic, the importance of Japan in AI, his class at Stanford and a lot more. I didn't make him cry like Harry Stebbings, but I think it was a fun conversation about the future of AI Infra. Enjoy! 00:00 Introduction to AMP and AI Infrastructure 03:07 Transition from A16Z to AMP 06:01 Understanding AMP's Role in AI Compute 08:57 The Concept of a Compute Grid 11:59 The Need for Standardization in AI Infrastructure 14:59 Education and Collaboration in AI Development 17:59 Global Perspectives on AI Infrastructure 21:03 Japan's Role in AI and Robotics 23:14 Cultural Connections: Japan and Germany 25:08 The Journey to Teaching at Stanford 26:04 Security in Infrastructure: Lessons Learned 27:50 Cybersecurity and AI: A New Frontier 29:27 The Importance of Redundancy in Cybersecurity 30:39 Investing in AI: The Anthropic Experience 32:54 Wealth Creation and Public Participation 34:06 Infrastructure Bottlenecks in AI Development 36:57 Global Perspectives on Data Centers 39:11 The Need for Education on AI Benefits 42:07 Learning from China: A Systems Approach 45:47 Conclusion: Coordinating the Western Frontier

Nathan Lands

28,872 görüntüleme • 4 ay önce

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
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Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 görüntüleme • 1 yıl önce

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 görüntüleme • 10 ay önce

We're developing and using AI to revolutionize scientific discovery - from predicting protein structures with #AlphaFold, to materials discovery with GNoME. Join our VP Science, Pushmeet Kohli, and Professor Hannah Fry as they explore how AI could lead to a new era of breakthroughs that could benefit humanity in countless ways, on Google DeepMind: The Podcast. Watch now ↓ Timestamps: 00:00 Intro 01:13 AlphaFold 06:13 AlphaFold Database 08:14 Weather forecasting 11:24 Creating new materials with deep learning 25:10 Imposter syndrome, being a generalist, and Nobel prize winners 31:21 Choosing the right projects 32:07 Root node problems 34:32 Large language models for science 36:06 Function search and algorithmic discovery 42:10 Math Olympiad 46:26 What’s coming next 48:35 Reflections from Hannah
50:05

We're developing and using AI to revolutionize scientific discovery - from predicting protein structures with #AlphaFold, to materials discovery with GNoME. Join our VP Science, Pushmeet Kohli, and Professor Hannah Fry as they explore how AI could lead to a new era of breakthroughs that could benefit humanity in countless ways, on Google DeepMind: The Podcast. Watch now ↓ Timestamps: 00:00 Intro 01:13 AlphaFold 06:13 AlphaFold Database 08:14 Weather forecasting 11:24 Creating new materials with deep learning 25:10 Imposter syndrome, being a generalist, and Nobel prize winners 31:21 Choosing the right projects 32:07 Root node problems 34:32 Large language models for science 36:06 Function search and algorithmic discovery 42:10 Math Olympiad 46:26 What’s coming next 48:35 Reflections from Hannah

Google DeepMind

197,357 görüntüleme • 1 yıl önce

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

1,456,032 görüntüleme • 1 yıl önce

The strongest engineer Matt Dalio ever hired didn't have a high school diploma. Outperformed candidates from the best schools in the world. I sat down with Matt Matt Dalio - founder of Endless - on Entrepreneur Perspectives. We get into why portfolio beats pedigree, what Arizona State is doing differently in higher ed, and why teaching kids to build games might be the most complete education there is. 0:00 Why ASU is rethinking higher education 8:06 No degree required 11:26 Portfolio over pedigree 16:00 Game-making as a real education 23:37 Claude Code and the future of building 42:00 Teaching a generation to build
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The strongest engineer Matt Dalio ever hired didn't have a high school diploma. Outperformed candidates from the best schools in the world. I sat down with Matt Matt Dalio - founder of Endless - on Entrepreneur Perspectives. We get into why portfolio beats pedigree, what Arizona State is doing differently in higher ed, and why teaching kids to build games might be the most complete education there is. 0:00 Why ASU is rethinking higher education 8:06 No degree required 11:26 Portfolio over pedigree 16:00 Game-making as a real education 23:37 Claude Code and the future of building 42:00 Teaching a generation to build

Eric Kasimov

11,862 görüntüleme • 1 ay önce