Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Narration: the data efficiency black hole. 00:00:00 – What is really driving AI progress? 00:03:11 – Comparing human vs AI sample efficiency 00:08:46 – Does sample efficiency matter? Also on pod and YouTube feed.

Dwarkesh Patel

239,556 subscribers

197,260 views • 8 days ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Our new pod with former Airbus CTO Paul Eremenko is up. On the era of the AI engineer (P-1 AI) and where aerospace is heading Timestamps 00:00:00 - Intro 00:02:52 - Ukraine to Kentucky transition 00:07:27 - Prestigious family military background 00:09:33 - Flying solo at sixteen 00:12:09 - MIT AI lab rejection 00:14:02 - Approaching the singularity 00:16:06 - Youngest Airbus CTO 00:27:38 - Boeing vs Airbus 00:30:15 - Universal Hydrogen ups and downs 00:33:12 - Data centers killed hydrogen 00:38:20 - AI for starships vision 00:49:01 - Synthetic training data breakthrough 01:03:08 - Future airplane designs

Our new pod with former Airbus CTO Paul Eremenko is up. On the era of the AI engineer (P-1 AI) and where aerospace is heading Timestamps 00:00:00 - Intro 00:02:52 - Ukraine to Kentucky transition 00:07:27 - Prestigious family military background 00:09:33 - Flying solo at sixteen 00:12:09 - MIT AI lab rejection 00:14:02 - Approaching the singularity 00:16:06 - Youngest Airbus CTO 00:27:38 - Boeing vs Airbus 00:30:15 - Universal Hydrogen ups and downs 00:33:12 - Data centers killed hydrogen 00:38:20 - AI for starships vision 00:49:01 - Synthetic training data breakthrough 01:03:08 - Future airplane designs

Core Memory

14,718 views • 1 year ago

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,631 views • 2 months ago

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

BG2 Guest Interview. AI Enterprise - Databricks & Glean 💥Why AIs Fail and Where Real Value Emerges Bg2 Pod Apoorv Agrawal Ali Ghodsi Arvind Jain --- (00:00) Intro (01:00) Consumer AI vs. Enterprise Reality (02:15) Why 95% of AI Projects Fail (04:15) RBC, Merck, and 7-Eleven Use Cases (06:45) What Actually Makes AI Work (07:00) LLMs Are Commodities—Data Is the Moat (08:45) Failed AI Bets at Databricks & Glean (11:00) RPA vs. Generative AI (14:15) Advice for CIOs Planning AI Budgets (16:00) AI CapEx and the Revenue Math (18:00) The Three Camps of AI (21:00) Making AI Useful Inside Enterprises (24:30) Why Apps Capture the Value (30:00) The Future of UI, Voice, and Data Entry (37:30) Rapid Fire: Winners, Bubbles, Long/Short

Bg2 Pod

35,410 views • 6 months ago

Core Memory podcast with Suzanne Gildert on the hunt for AI consciousness in the quantum realm. The theory being that LLMs are too constrained to really get to robots and AIs that are really like us 00:00:00 – Consciousness: The First AI Training Model? 00:02:03 – Exploring the Quantum Mind with AI 00:04:42 – Will Robots Ever Have Rights? 00:07:54 – The AI Paradox: Fear vs. Progress 00:13:20 – Can Language Models Teach Robots? 00:17:29 – Why Today’s AI Feels Like a Zombie 00:23:47 – Quantum Computing Meets Artificial Consciousness 00:29:50 – Free Will, Entanglement, and Decision Making 00:38:21 – Teaching a Robot to Think, Not Just React 00:52:51 – Will Conscious AI Power Space Exploration?

Core Memory podcast with Suzanne Gildert on the hunt for AI consciousness in the quantum realm. The theory being that LLMs are too constrained to really get to robots and AIs that are really like us 00:00:00 – Consciousness: The First AI Training Model? 00:02:03 – Exploring the Quantum Mind with AI 00:04:42 – Will Robots Ever Have Rights? 00:07:54 – The AI Paradox: Fear vs. Progress 00:13:20 – Can Language Models Teach Robots? 00:17:29 – Why Today’s AI Feels Like a Zombie 00:23:47 – Quantum Computing Meets Artificial Consciousness 00:29:50 – Free Will, Entanglement, and Decision Making 00:38:21 – Teaching a Robot to Think, Not Just React 00:52:51 – Will Conscious AI Power Space Exploration?

Ashlee Vance

17,189 views • 1 year ago

Special edition of The Six Five Podcast, live and in-studio, celebrating 100,000 YouTube subscribers. On Episode 290, Patrick Moorhead and Daniel Newman dig into what’s really driving (and constraining) the next phase of tech. From Apple’s AI crossroads and its Gemini partnership with Google, to OpenAI’s $10B Cerebras deal, and the intensifying AI silicon chip landscape, they unpack the real signals for enterprise AI ROI, bottlenecks, and share 2026 predictions. 00:00:22 - Opening & 100K Subscriber Celebration 00:03:34 - Montage: Pod Memories & Notable Guests 00:08:04 - Apple, Google, and the AI Race (The Decode) 00:14:16 - AI Chip Wars: OpenAI, Cerberus, Nvidia & Heterogeneous Computing (The Decode) 00:18:34 - Data Center Boom, Energy Constraints & U.S. vs. China (The Decode) 00:24:23 - Meta Layoffs, Wearables, and Future of XR (The Decode) 00:26:03 - China/PRC: Nvidia H200 Ban & Tech Sovereignty Rumors (The Decode) 00:28:43 - Live Debate Custom vs. Merchant Silicon, Google, Apple (The Flip) 00:41:48 - TSMC Earnings, AI Ecosystem, & Chip Market Trends (Bulls & Bears) 00:52:15 - Infosys, GSIs, and the AI Implementation Curve (Bulls & Bears) 100:53:49 - 2026 Tech Predictions (Bulls & Bears)

Special edition of The Six Five Podcast, live and in-studio, celebrating 100,000 YouTube subscribers. On Episode 290, Patrick Moorhead and Daniel Newman dig into what’s really driving (and constraining) the next phase of tech. From Apple’s AI crossroads and its Gemini partnership with Google, to OpenAI’s $10B Cerebras deal, and the intensifying AI silicon chip landscape, they unpack the real signals for enterprise AI ROI, bottlenecks, and share 2026 predictions. 00:00:22 - Opening & 100K Subscriber Celebration 00:03:34 - Montage: Pod Memories & Notable Guests 00:08:04 - Apple, Google, and the AI Race (The Decode) 00:14:16 - AI Chip Wars: OpenAI, Cerberus, Nvidia & Heterogeneous Computing (The Decode) 00:18:34 - Data Center Boom, Energy Constraints & U.S. vs. China (The Decode) 00:24:23 - Meta Layoffs, Wearables, and Future of XR (The Decode) 00:26:03 - China/PRC: Nvidia H200 Ban & Tech Sovereignty Rumors (The Decode) 00:28:43 - Live Debate Custom vs. Merchant Silicon, Google, Apple (The Flip) 00:41:48 - TSMC Earnings, AI Ecosystem, & Chip Market Trends (Bulls & Bears) 00:52:15 - Infosys, GSIs, and the AI Implementation Curve (Bulls & Bears) 100:53:49 - 2026 Tech Predictions (Bulls & Bears)

Six Five Media

143,550 views • 5 months ago

Interview with Jay Parikh, EVP of CoreAI Microsoft 00:00 - Intro 00:25 - Microsoft's Core AI Team 05:08 - In-Person Work Culture 10:15 - How AI Changes Engineering Roles 15:24 - Data Centers & Power Constraints 19:00 - AI Bubble & Dark GPUs 22:34 - Model efficiency 25:17 - Enterprise model rollout 28:17 - Open v Closed source 30:43 - Omni-model vs. multi-model 32:53 - Microsoft's relationship with OpenAI 34:31 - MAI and MSFT's frontier models 35:51 - AI safety 38:45 - Contrarian Take

Interview with Jay Parikh, EVP of CoreAI Microsoft 00:00 - Intro 00:25 - Microsoft's Core AI Team 05:08 - In-Person Work Culture 10:15 - How AI Changes Engineering Roles 15:24 - Data Centers & Power Constraints 19:00 - AI Bubble & Dark GPUs 22:34 - Model efficiency 25:17 - Enterprise model rollout 28:17 - Open v Closed source 30:43 - Omni-model vs. multi-model 32:53 - Microsoft's relationship with OpenAI 34:31 - MAI and MSFT's frontier models 35:51 - AI safety 38:45 - Contrarian Take

Matthew Berman

40,617 views • 7 months ago

We've got a podcast! In our first episode, Ege, Tamay and Jaime dig into: • What they expect AI to look like by 2030 • Why economists are underestimating the likelihood of explosive growth • The startling regularity in technological trends like Moore's Law • Moravec’s paradox, and how we might overcome it And more more! Timestamps: 00:00:00 Preview 00:00:37 What is Epoch AI? 00:02:32 Scaling Laws 00:08:43 Key Drivers 00:19:20 End of the Decade Predictions 00:21:18 Bottlenecks: Power 00:27:59 Bottlenecks: GPUs 00:32:07 Bottlenecks: Data 00:45:37 Bottlenecks: Latency 00:56:18 Bottlenecks: Failure Rates 01:03:55 AI Investment 01:07:11 Automation 01:12:10 Benchmarks & Moravec’s Paradox 01:19:45 Economic Impact 01:45:48 Open Questions & Takeaways

We've got a podcast! In our first episode, Ege, Tamay and Jaime dig into: • What they expect AI to look like by 2030 • Why economists are underestimating the likelihood of explosive growth • The startling regularity in technological trends like Moore's Law • Moravec’s paradox, and how we might overcome it And more more! Timestamps: 00:00:00 Preview 00:00:37 What is Epoch AI? 00:02:32 Scaling Laws 00:08:43 Key Drivers 00:19:20 End of the Decade Predictions 00:21:18 Bottlenecks: Power 00:27:59 Bottlenecks: GPUs 00:32:07 Bottlenecks: Data 00:45:37 Bottlenecks: Latency 00:56:18 Bottlenecks: Failure Rates 01:03:55 AI Investment 01:07:11 Automation 01:12:10 Benchmarks & Moravec’s Paradox 01:19:45 Economic Impact 01:45:48 Open Questions & Takeaways

Epoch AI

152,591 views • 1 year ago

new greenpill.network pod out with Shaw (spirit/acc) founder of elizaOS ! we talk about agent-native games, open source culture, abundance networks, and why software is getting cheaper while agency, ownership, and coordination matter more than ever. love these talks on the frontier... 00:00 – Intro & why Shaw’s work matters 01:10 – Catching up after the bear market 03:00 – How Shaw’s perspective on AI has changed 05:10 – From Eliza v1 to ElizaOS 07:20 – Shipping fast & throwing code away 09:30 – AI agents as autonomous actors 12:00 – Agent-native games as experimentation spaces 15:10 – Open source, forks & losing mindshare 18:00 – Hype cycles, narratives & incentives 21:00 – Why “code is getting cheap” 24:00 – Rewriting systems & technical tradeoffs 27:00 – What AI agents still can’t do 30:00 – Builder culture vs speculation culture 33:00 – Centralized platforms & getting banned 36:00 – Decentralized social: what’s missing 39:00 – Are AI agents taking jobs? 41:30 – Meaning, agency & human creativity 44:00 – Ownership, UBI & coordination problems 46:30 – Abundance networks & positive-sum systems 49:00 – What Shaw wants to build next 51:00 – Closing thoughts

new greenpill.network pod out with Shaw (spirit/acc) founder of elizaOS ! we talk about agent-native games, open source culture, abundance networks, and why software is getting cheaper while agency, ownership, and coordination matter more than ever. love these talks on the frontier... 00:00 – Intro & why Shaw’s work matters 01:10 – Catching up after the bear market 03:00 – How Shaw’s perspective on AI has changed 05:10 – From Eliza v1 to ElizaOS 07:20 – Shipping fast & throwing code away 09:30 – AI agents as autonomous actors 12:00 – Agent-native games as experimentation spaces 15:10 – Open source, forks & losing mindshare 18:00 – Hype cycles, narratives & incentives 21:00 – Why “code is getting cheap” 24:00 – Rewriting systems & technical tradeoffs 27:00 – What AI agents still can’t do 30:00 – Builder culture vs speculation culture 33:00 – Centralized platforms & getting banned 36:00 – Decentralized social: what’s missing 39:00 – Are AI agents taking jobs? 41:30 – Meaning, agency & human creativity 44:00 – Ownership, UBI & coordination problems 46:30 – Abundance networks & positive-sum systems 49:00 – What Shaw wants to build next 51:00 – Closing thoughts

owocki

12,676 views • 4 months ago

New Podcast: Delphi's AI + DePIN Year Ahead 2025 Timestamps: 00:00 – Introduction and Overview 02:00 – AI Macro Landscape 08:00 – Nation State AI Competition 13:00 – Agent Platforms Discussion 19:00 – Worldcoin Bull Case 26:00 – Decentralized Training Evolution 36:00 – DePIN Overview 42:00 – Mobile Wireless Infrastructure 47:00 – Fixed Bandwidth Discussion 54:00 – Double Zero and Dark Fiber 1:00:00 – Future of Blockchain Networks 1:04:00 – Closing Thoughts

New Podcast: Delphi's AI + DePIN Year Ahead 2025 Timestamps: 00:00 – Introduction and Overview 02:00 – AI Macro Landscape 08:00 – Nation State AI Competition 13:00 – Agent Platforms Discussion 19:00 – Worldcoin Bull Case 26:00 – Decentralized Training Evolution 36:00 – DePIN Overview 42:00 – Mobile Wireless Infrastructure 47:00 – Fixed Bandwidth Discussion 54:00 – Double Zero and Dark Fiber 1:00:00 – Future of Blockchain Networks 1:04:00 – Closing Thoughts

Delphi Digital

35,140 views • 1 year ago

Is God More Than a Story? Jonathan Pageau with Jordan Hall on Bret Weinstein's DarkHorse Inside Rail Bret Weinstein debates Jonathan Pageau with Jordan Hall on whether science or religion can save humanity from itself. 00:00:00 Welcoming Pageau & Jordan Hall 00:02:00 Science, Faith & Materialism's Limits 00:08:08 Sponsor: Fresh-Pressed Olive Oil Club 00:10:42 Why Science Can't Provide Values 00:16:42 COVID & the Collapse of Shared Values 00:19:55 AI & the Missing Ethical Framework 00:21:06 Cults, Religions & the Test of Time 00:27:46 Ideology vs. Faith: What Corrupts 00:42:55 Martyrdom, Lineage & Christianity 00:49:15 Group Selection & Game Theory 00:57:40 The Religion of Religions 00:58:08 Judaism, Islam & Ceasefire 01:07:50 Love as the Principle of Principles 01:16:00 Human Dignity & the Game Theory Problem 01:23:32 Moloch vs. the Heavenly Jerusalem 01:29:41 Which Churches Survive? 01:39:57 Humility & the Unfinished Story

Is God More Than a Story? Jonathan Pageau with Jordan Hall on Bret Weinstein's DarkHorse Inside Rail Bret Weinstein debates Jonathan Pageau with Jordan Hall on whether science or religion can save humanity from itself. 00:00:00 Welcoming Pageau & Jordan Hall 00:02:00 Science, Faith & Materialism's Limits 00:08:08 Sponsor: Fresh-Pressed Olive Oil Club 00:10:42 Why Science Can't Provide Values 00:16:42 COVID & the Collapse of Shared Values 00:19:55 AI & the Missing Ethical Framework 00:21:06 Cults, Religions & the Test of Time 00:27:46 Ideology vs. Faith: What Corrupts 00:42:55 Martyrdom, Lineage & Christianity 00:49:15 Group Selection & Game Theory 00:57:40 The Religion of Religions 00:58:08 Judaism, Islam & Ceasefire 01:07:50 Love as the Principle of Principles 01:16:00 Human Dignity & the Game Theory Problem 01:23:32 Moloch vs. the Heavenly Jerusalem 01:29:41 Which Churches Survive? 01:39:57 Humility & the Unfinished Story

The DarkHorse Podcast

109,799 views • 2 months ago

As ever, a fascinating chat with my friend Jordi Visser on AI, crypto, and hedge funds' future... Enjoy! 00:00:00 Introduction 00:00:54 The Big Picture: AI, Crypto, and Macro 00:02:25 Jordie Visser’s Background in Macro and Finance 00:03:30 AI’s Disruptive Impact on the Economy 00:06:32 Rethinking GDP and Productivity 00:08:59 The Future of Labor and Profit Margins 00:10:49 The Rise of the Speculative Economy 00:14:41 Generational Shifts in Investing and Risk-taking 00:16:18 AI and Crypto: A Global Network Effect 00:19:38 Stablecoins and AI-Driven Market Volume Growth 00:24:28 The End of Traditional Hedge Funds? 00:31:16 Deep Research and the Power of AI Analysis 00:35:29 The Acceleration of AI and its Economic Impact 00:41:02 The Growing Crypto Adoption and Its Role in the Future Economy 00:44:22 Shifting from Fear to Optimism in Markets 00:50:27 The Political and Economic Challenges Ahead 00:56:01 Quantum Computing and the Next Leap in AI 01:02:06 Closing Thoughts: Preparing for a Radical Future

As ever, a fascinating chat with my friend Jordi Visser on AI, crypto, and hedge funds' future... Enjoy! 00:00:00 Introduction 00:00:54 The Big Picture: AI, Crypto, and Macro 00:02:25 Jordie Visser’s Background in Macro and Finance 00:03:30 AI’s Disruptive Impact on the Economy 00:06:32 Rethinking GDP and Productivity 00:08:59 The Future of Labor and Profit Margins 00:10:49 The Rise of the Speculative Economy 00:14:41 Generational Shifts in Investing and Risk-taking 00:16:18 AI and Crypto: A Global Network Effect 00:19:38 Stablecoins and AI-Driven Market Volume Growth 00:24:28 The End of Traditional Hedge Funds? 00:31:16 Deep Research and the Power of AI Analysis 00:35:29 The Acceleration of AI and its Economic Impact 00:41:02 The Growing Crypto Adoption and Its Role in the Future Economy 00:44:22 Shifting from Fear to Optimism in Markets 00:50:27 The Political and Economic Challenges Ahead 00:56:01 Quantum Computing and the Next Leap in AI 01:02:06 Closing Thoughts: Preparing for a Radical Future

Raoul Pal

280,145 views • 1 year ago

Full episode with Andrew Hsu on life as a child prodigy, being one of the first Thiel Fellows and building Speak Timestamps 00:00:00 - Intro 00:03:05 - Started college at twelve 00:05:34 - Homeschooled by immigrant parents 00:08:30 - Three degrees by sixteen 00:19:53 - First Thiel Fellowship class 00:21:07 - Dropping out Stanford PhD 00:25:01 - Why not cure cancer 00:34:47 - Building Speak with AI 00:38:00 - Deep learning winter thawing 00:41:25 - Three failed product launches 00:42:07 - Choosing South Korea market 00:43:03 - Product takes off rocket 00:48:00 - ChatGPT threatens language learning 00:51:15 - OpenAI partnership and investment 00:56:16 - AI completely changes learning

Full episode with Andrew Hsu on life as a child prodigy, being one of the first Thiel Fellows and building Speak Timestamps 00:00:00 - Intro 00:03:05 - Started college at twelve 00:05:34 - Homeschooled by immigrant parents 00:08:30 - Three degrees by sixteen 00:19:53 - First Thiel Fellowship class 00:21:07 - Dropping out Stanford PhD 00:25:01 - Why not cure cancer 00:34:47 - Building Speak with AI 00:38:00 - Deep learning winter thawing 00:41:25 - Three failed product launches 00:42:07 - Choosing South Korea market 00:43:03 - Product takes off rocket 00:48:00 - ChatGPT threatens language learning 00:51:15 - OpenAI partnership and investment 00:56:16 - AI completely changes learning

Ashlee Vance

11,297 views • 11 months ago

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

It's brain versus AI time. Here's our full episode with Sebastian Seung. He's started a new company to reverse engineer the brain and master the intelligence created by nature with the hopes of informing the intelligence we've created with machines. Sebastian has done pioneering AI and neuroscience work and is now blending the two to make a digital brain. Mostly, he's fun to listen to. The Core Memory podcast is made by possible by the intelligent finance powerhouse Brex and the people who back the biggest ideas @e1ventures. Timestamps 00:00:00 - Intro 00:01:42 - Who is Sebastian Seung? 00:03:23 - What is a Connectome? 00:07:08 - The Connectome Winter 00:09:08 - Diamond Knives & AI 00:12:10 - When Will We Map the Human Brain? 00:18:09 - The "Brain Crystal" & Visual Neurons 00:26:31 - New Startup 00:33:55 - Simulating a Mind in Software 00:37:40 - Biology vs. Nvidia 00:44:04 - Is AI a Religious Quest? 00:50:05 - Mind Uploading & Transhumanism 00:59:26 - Brain-Computer Interfaces 01:06:41 - From Physics to Neuroscience 01:12:22 - Will Uploads Be Conscious? 01:19:37 - Neuromorphic Chips & Future Robotics

Ashlee Vance

38,233 views • 6 months ago

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Ashlee Vance

80,718 views • 6 months ago

Hard Fork ep 139: The Trump-Musk Fallout + A DOGE Coder Speaks + ChefGPT 00:00:51 - It's Kevin's birthday! 00:02:39 - This week on the show 00:03:05 - The Musk/Trump breakup 00:19:24 - Interview with Sahil Lavingia, former DOGE staffer 00:46:58 - NYT's Pete Wells on AI for chefs

Hard Fork ep 139: The Trump-Musk Fallout + A DOGE Coder Speaks + ChefGPT 00:00:51 - It's Kevin's birthday! 00:02:39 - This week on the show 00:03:05 - The Musk/Trump breakup 00:19:24 - Interview with Sahil Lavingia, former DOGE staffer 00:46:58 - NYT's Pete Wells on AI for chefs

Kevin Roose

12,096 views • 1 year ago

François Chollet (François Chollet) on the ARC Prize and how we get to AGI. At AI Startup School in San Francisco. 00:00 - The Falling Cost of Compute 00:57 - Deep-Learning’s Scaling Era & Benchmarks 01:59 - The ARC Benchmark 03:02 - The 2024 Shift to Test-Time Adaptation 05:01 - What Is Intelligence? 07:12 - Why Benchmarks Matter (and Mislead) 08:57 - ARC 1 Exposes Scaling Limits 10:58 - ARC 2: Compositional Reasoning Arrives 12:55 - Humans vs. Models on ARC2 14:58 - Previewing ARC3 & Interactive Agency 17:00 - Kaleidoscopic Hypothesis and Abstractions 22:00 - Type 1 vs. Type 2 Abstractions 26:00 - Discrete Program Search & Inventive AI 29:00 - Fusing Intuition with Symbolic Reasoning 32:00 - Building AGI Through Meta-Learning Systems

François Chollet (François Chollet) on the ARC Prize and how we get to AGI. At AI Startup School in San Francisco. 00:00 - The Falling Cost of Compute 00:57 - Deep-Learning’s Scaling Era & Benchmarks 01:59 - The ARC Benchmark 03:02 - The 2024 Shift to Test-Time Adaptation 05:01 - What Is Intelligence? 07:12 - Why Benchmarks Matter (and Mislead) 08:57 - ARC 1 Exposes Scaling Limits 10:58 - ARC 2: Compositional Reasoning Arrives 12:55 - Humans vs. Models on ARC2 14:58 - Previewing ARC3 & Interactive Agency 17:00 - Kaleidoscopic Hypothesis and Abstractions 22:00 - Type 1 vs. Type 2 Abstractions 26:00 - Discrete Program Search & Inventive AI 29:00 - Fusing Intuition with Symbolic Reasoning 32:00 - Building AGI Through Meta-Learning Systems

Y Combinator

231,725 views • 11 months ago

When mathematicians make breakthroughs, they hallucinate too. They reach beyond established results. But unlike AI, they’ve learned to tell a promising hallucination from a dead end. Number theorist Ken Ono on AI, creativity, and mathematical discovery. -- Timestamps -- 00:00:00 – Why predicting problem difficulty is so hard 00:00:27 – How mathematicians and AI both “hallucinate” 00:02:15 – AI as a copilot for mathematical discovery 00:04:00 – How AI helped reveal new formulas for primes 00:09:02 – The promise and peril of AI 00:15:22 – What makes a great mathematical question 00:17:54 – Teaching by making deliberate mistakes 00:21:22 – Will AI reshape the world like the Industrial Revolution?

When mathematicians make breakthroughs, they hallucinate too. They reach beyond established results. But unlike AI, they’ve learned to tell a promising hallucination from a dead end. Number theorist Ken Ono on AI, creativity, and mathematical discovery. -- Timestamps -- 00:00:00 – Why predicting problem difficulty is so hard 00:00:27 – How mathematicians and AI both “hallucinate” 00:02:15 – AI as a copilot for mathematical discovery 00:04:00 – How AI helped reveal new formulas for primes 00:09:02 – The promise and peril of AI 00:15:22 – What makes a great mathematical question 00:17:54 – Teaching by making deliberate mistakes 00:21:22 – Will AI reshape the world like the Industrial Revolution?

Epoch AI

18,095 views • 8 months ago

susan abulhawa | سوزان ابو الهوى Oxford Union Oxford Union has cut out the following 5 parts, totaling 73 seconds: 1. 17 seconds 00:03:49 to 00:04:05 2. 20 seconds 00:08:38 to 00:08:57 3. 8 seconds 00:10:52 to 00:11:01 4. 22 seconds 00:11:49 to 00:12:12 Archived original:

susan abulhawa | سوزان ابو الهوى Oxford Union Oxford Union has cut out the following 5 parts, totaling 73 seconds: 1. 17 seconds 00:03:49 to 00:04:05 2. 20 seconds 00:08:38 to 00:08:57 3. 8 seconds 00:10:52 to 00:11:01 4. 22 seconds 00:11:49 to 00:12:12 Archived original:

Free Palestine🍉

232,596 views • 1 year ago

BG2. AI Bubble or Buildout? $3T CapEx, Stablecoin Boom, and Gurley’s Next Chapter 👊💥 Brad Gerstner Bill Gurley Bg2 Pod (00:00) Intro (02:00) Two Years of BG2 (03:45) Bill Stepping Back to Write His Book (07:00) The AI CapEx Bubble? (13:00) Nvidia’s Investments: Healthy or Hype? (19:15) $3 Trillion CapEx: Are We Overbuilding AI? (25:30) OpenAI’s Race for Escape Velocity (28:30) AI Regulation: State Patchwork Madness (30:30) Why Federal Preemption Is Critical (35:00) Stablecoin Surge: $18T in Settlements (36:45) Gurley’s Crypto Conversion (38:30) From PIX to FedNow: The Future of Digital Money (41:00) Coinbase, Circle, and the 4% Yield Revolution (46:00) Brad on Invest America (Trump Accounts) (49:00) Implementation Timeline & Treasury Update (50:30) Bill’s Book: Running Down a Dream (53:15) The Great Career Reset: Passion vs. Grind (55:00) Bezos’ Regret Minimization Framework (57:00) Who the Book Is For (59:00) Gurley’s Next Mission

BG2. AI Bubble or Buildout? $3T CapEx, Stablecoin Boom, and Gurley’s Next Chapter 👊💥 Brad Gerstner Bill Gurley Bg2 Pod (00:00) Intro (02:00) Two Years of BG2 (03:45) Bill Stepping Back to Write His Book (07:00) The AI CapEx Bubble? (13:00) Nvidia’s Investments: Healthy or Hype? (19:15) $3 Trillion CapEx: Are We Overbuilding AI? (25:30) OpenAI’s Race for Escape Velocity (28:30) AI Regulation: State Patchwork Madness (30:30) Why Federal Preemption Is Critical (35:00) Stablecoin Surge: $18T in Settlements (36:45) Gurley’s Crypto Conversion (38:30) From PIX to FedNow: The Future of Digital Money (41:00) Coinbase, Circle, and the 4% Yield Revolution (46:00) Brad on Invest America (Trump Accounts) (49:00) Implementation Timeline & Treasury Update (50:30) Bill’s Book: Running Down a Dream (53:15) The Great Career Reset: Passion vs. Grind (55:00) Bezos’ Regret Minimization Framework (57:00) Who the Book Is For (59:00) Gurley’s Next Mission

Bg2 Pod

559,021 views • 8 months ago

인간츄르 박보검(박보검) 비하인드 낋이다 치인 구간 00:08, 00:10, 00:14, 00:19, 00:24, 00:28, 00:30, 00:36, 00:40, 00:43, 00:46, 00:51, 00:56, 01:06, 01:11, 01:17, 01:19, 01:23, 01:30, 01:35, 01:46 팔로우+치인 구간 댓 달면 인간 츄르 드려요(~2/18, 33명) 🐱인간 츄르 = 에브리타임 망고 플레이버

인간츄르 박보검(박보검) 비하인드 낋이다 치인 구간 00:08, 00:10, 00:14, 00:19, 00:24, 00:28, 00:30, 00:36, 00:40, 00:43, 00:46, 00:51, 00:56, 01:06, 01:11, 01:17, 01:19, 01:23, 01:30, 01:35, 01:46 팔로우+치인 구간 댓 달면 인간 츄르 드려요(~2/18, 33명) 🐱인간 츄르 = 에브리타임 망고 플레이버

인간 츄르 영업계

456,867 views • 4 months ago