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NEW: Brian Armstrong, Coinbase Full Interview. Rebuilding Coinbase 🛡️ Around Intelligence Tokenized stocks, an SEC-registered AI advisor, +1,200 agents working inside the company We cover: › Pre-IPO perps (SpaceX, OpenAI, Anthropic) › Intelligent routing pushing 80% of workloads to models 99% cheaper (keeping token costs flat) › Tokenized equities...

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Molly O’Shea

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568,245 views • 20 days ago •via X (Twitter)

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In one of my favourite Cheeky Pint episodes to date, Brian Armstrong brings us behind the scenes at Coinbase 🛡️: their battles against North Korean hackers, war stories from breakneck early scaling, confronting people who won’t use AI to code, Coinbase becoming people’s primary financial account, and how banks are now embracing crypto. Subscribe on Spotify, Apple Podcasts, and YouTube for future Cheeky Pint episodes. Timestamps 00:00 Intro 01:14 How Coinbase won the exchange market 06:22 Losing money on every bitcoin purchase 10:54 North Korean hackers 14:54 The Everything Exchange 17:39 Crypto will be bigger than gold 19:22 Stablecoin adoption 23:28 Jamie Dimon and big banks on crypto 26:44 Coinbase as your primary financial account 27:53 Neobanks 29:41 Bitcoin going to $1 million 33:16 Crypto in an investment portfolio 34:43 GENIUS Act 37:10 Electing a pro-crypto Congress 45:24 Reforming accredited investor rules 48:33 Squashing scams 50:11 Bitcoin preserving the American experiment 57:09 Balaji Srinivasan 01:01:05 The mission-first company announcement 01:05:50 How does Coinbase focus? 01:07:44 Venture bets and Brian vetoing USDC 01:12:02 Brian’s AI coding mandate 01:15:13 Advice for Stripe
1:16:52

In one of my favourite Cheeky Pint episodes to date, Brian Armstrong brings us behind the scenes at Coinbase 🛡️: their battles against North Korean hackers, war stories from breakneck early scaling, confronting people who won’t use AI to code, Coinbase becoming people’s primary financial account, and how banks are now embracing crypto. Subscribe on Spotify, Apple Podcasts, and YouTube for future Cheeky Pint episodes. Timestamps 00:00 Intro 01:14 How Coinbase won the exchange market 06:22 Losing money on every bitcoin purchase 10:54 North Korean hackers 14:54 The Everything Exchange 17:39 Crypto will be bigger than gold 19:22 Stablecoin adoption 23:28 Jamie Dimon and big banks on crypto 26:44 Coinbase as your primary financial account 27:53 Neobanks 29:41 Bitcoin going to $1 million 33:16 Crypto in an investment portfolio 34:43 GENIUS Act 37:10 Electing a pro-crypto Congress 45:24 Reforming accredited investor rules 48:33 Squashing scams 50:11 Bitcoin preserving the American experiment 57:09 Balaji Srinivasan 01:01:05 The mission-first company announcement 01:05:50 How does Coinbase focus? 01:07:44 Venture bets and Brian vetoing USDC 01:12:02 Brian’s AI coding mandate 01:15:13 Advice for Stripe

John Collison

241,703 views • 11 months ago

E148: Brian Armstrong Brian Armstrong is the CoFounder & CEO of Coinbase 🛡️ Brian opens up about building and leading Coinbase through chaos, burnouts, lawsuits and political attacks while staying focused on the ultimate mission: creating more economic freedom in the World. Timestamps 0:00 Introduction 1:57 You Need Security? 3:45 Who Are You 5:21 More About Being An Introverted Kid 6:33 What Gave Brian The Chip On The Shoulder 11:38 Partnerships: Jupiter (🐱, 🐐) Paradex KAST 12:31 How Much Of Your Mission Is Driven By Your Past 15:25 The Baldness Story 17:24 Turning Bald Into A Superpower 21:30 Brian's Thoughts On Solo Founders 25:26 How Did Your Co-Founder Leaving Make You Feel 29:24 Another Tough Moment In The History Of Coinbase 31:09 Accepting Co-Founder Departure Without Feeling The Burnout 33:00 Partnerships: Trezor Bitwise Sui Story 34:15 How Brian Got Fascinated By Bitcoin & Blockchain 37:02 How Long Did It Take To Go All In 38:47 Creating More Economic Freedom In The World Meaning 44:16 The Role Of Privacy Creating More Economic Freedom 47:23 Coinbase Explained To Your Mom 52:05 Trying To Help But Running Into Unreasonable People 56:40 Lasting So Long Through Wall After Wall, How? 1:02:06 Big Things That Needed To Change Before Burnout 1:05:53 What Do The Audience Not Know About Being Brian 1:10:10 Gaining Self Irrational Beliefs 1:11:53 Something Brian Can’t Do 1:13:15 Things You Were Wrong About That Turned Into Successes 1:15:21 How Brian Felt On The IPO Day & The Day After 1:20:27 Do You Look Back At Many Milestones 1:21:56 When Is The Job Done For Brian 1:23:48 Having A Minimalist Lifestyle 1:25:50 One Secret To Building A Business Plus Finding The Right Partner 1:30:43 The Fundraising System For Entrepreneurs Is Broken 1:33:09 The Role Of Centralized Exchanges 1:35:26 Endgame For Coinbase 1:36:00 Are You Happy 1:37:33 The Impact Of Being Worth Billion On Your Fulfillment 1:40:53 One Thing You’re Holding On To That You Should Let Go Of 1:43:06 The Voice In Your Head Is Saying? 1:45:03 One Lesson To Takeaway 1:46:20 A Belief Brian Has That Most Don’t
1:51:23

E148: Brian Armstrong Brian Armstrong is the CoFounder & CEO of Coinbase 🛡️ Brian opens up about building and leading Coinbase through chaos, burnouts, lawsuits and political attacks while staying focused on the ultimate mission: creating more economic freedom in the World. Timestamps 0:00 Introduction 1:57 You Need Security? 3:45 Who Are You 5:21 More About Being An Introverted Kid 6:33 What Gave Brian The Chip On The Shoulder 11:38 Partnerships: Jupiter (🐱, 🐐) Paradex KAST 12:31 How Much Of Your Mission Is Driven By Your Past 15:25 The Baldness Story 17:24 Turning Bald Into A Superpower 21:30 Brian's Thoughts On Solo Founders 25:26 How Did Your Co-Founder Leaving Make You Feel 29:24 Another Tough Moment In The History Of Coinbase 31:09 Accepting Co-Founder Departure Without Feeling The Burnout 33:00 Partnerships: Trezor Bitwise Sui Story 34:15 How Brian Got Fascinated By Bitcoin & Blockchain 37:02 How Long Did It Take To Go All In 38:47 Creating More Economic Freedom In The World Meaning 44:16 The Role Of Privacy Creating More Economic Freedom 47:23 Coinbase Explained To Your Mom 52:05 Trying To Help But Running Into Unreasonable People 56:40 Lasting So Long Through Wall After Wall, How? 1:02:06 Big Things That Needed To Change Before Burnout 1:05:53 What Do The Audience Not Know About Being Brian 1:10:10 Gaining Self Irrational Beliefs 1:11:53 Something Brian Can’t Do 1:13:15 Things You Were Wrong About That Turned Into Successes 1:15:21 How Brian Felt On The IPO Day & The Day After 1:20:27 Do You Look Back At Many Milestones 1:21:56 When Is The Job Done For Brian 1:23:48 Having A Minimalist Lifestyle 1:25:50 One Secret To Building A Business Plus Finding The Right Partner 1:30:43 The Fundraising System For Entrepreneurs Is Broken 1:33:09 The Role Of Centralized Exchanges 1:35:26 Endgame For Coinbase 1:36:00 Are You Happy 1:37:33 The Impact Of Being Worth Billion On Your Fulfillment 1:40:53 One Thing You’re Holding On To That You Should Let Go Of 1:43:06 The Voice In Your Head Is Saying? 1:45:03 One Lesson To Takeaway 1:46:20 A Belief Brian Has That Most Don’t

MR SHIFT 🦁

229,818 views • 7 months ago

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The Biggest Macro Opportunity No One Is Talking About - Dan Tapiero 0:00 The Biggest Financial Transformation Is Happening Now 01:35 "The Integration Moment" Between the Old and New World 03:48 Agents Are Already Transacting Billions in Stablecoins 05:28 51% of Agents Chose Bitcoin as Their Favorite Currency 07:10 Why $50T Still Doesn’t Own a Single Token 08:56 Crypto VCs Are Still Overpaying 12:17 All Five Deals Are AI-Adjacent 15:06 "In 5 Years, 99% of Stablecoins Won’t Be Dollar-Based" 19:05 Every Investment Must Sit at the AI-Crypto Crossroads 22:12 "Coinbase Could Become the Next Amazon or Microsoft" 25:14 How Prediction Markets Become Truth Machines 28:19 "Agent Transactions Could Reach Thousands of Trillions"

The Wolf Of All Streets

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CoinDesk

24,485 views • 1 month ago

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1:04:51

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 views • 1 year ago

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead
1:09:53

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

Raoul Pal

166,795 views • 1 year ago

NEW: Dylan Field (Dylan Field), CEO of Figma (NYSE: FIG) How to Escape the "Permanent Underclass of Zero Taste" › Why AI prompts only get you the average › Why the market has design backwards Plus, Founders Fund's Mafia & Thiel Fellowship class behind Figma + Anthropic Recorded at Day 0 of Config 2026, San Francisco We Cover: › Vibe Mathing › Elon: Products vs Logos › AI's trust issue › Agents vs Employees › Engineers coding design › American Enterprise > › IQ ≠ Judgment or taste › What actually is a jailbreak? This was SO much fun!!! Can confirm Config-pilled. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dylan Field, Co-Founder & CEO at Figma (00:57) Day Zero begins: backstage at Config (01:44) The "Coachella for Design" is real (02:35) Why Dylan started Config back in 2020 (03:47) Why "design is dead" is completely wrong (06:11) How Figma turned engineers into designers (06:54) Inside Config before the crowd arrives (07:55) The Config speakers Dylan can't wait to watch (11:34) Inside the exclusive Pantone Lounge (12:00) The one question every designer gets asked (13:16) Getting killed in every single game of Mafia (15:33) How to escape the permanent underclass of zero taste (19:51) Why execution is cheap but taste is everything (22:25) What actually builds a trusted brand (25:51) How AI agents are rewiring company structure (28:54) The AI safety debate happening right now (31:57) Why deep curiosity is Dylan's secret weapon (34:53) The real lesson from being a Thiel fellow (36:52) Rapid fire: Elad Gil's wildest question (38:04) What people are missing about AI & enterprise software (40:16) Where Figma goes next (41:21) Why Dylan is bullish on SpaceX (42:43) Elon Musk's logo theory (43:26) The mentors who shaped Dylan Field (45:20) Alan Kay, VR, and the future of human-computer interaction
47:33

NEW: Dylan Field (Dylan Field), CEO of Figma (NYSE: FIG) How to Escape the "Permanent Underclass of Zero Taste" › Why AI prompts only get you the average › Why the market has design backwards Plus, Founders Fund's Mafia & Thiel Fellowship class behind Figma + Anthropic Recorded at Day 0 of Config 2026, San Francisco We Cover: › Vibe Mathing › Elon: Products vs Logos › AI's trust issue › Agents vs Employees › Engineers coding design › American Enterprise > › IQ ≠ Judgment or taste › What actually is a jailbreak? This was SO much fun!!! Can confirm Config-pilled. 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Dylan Field, Co-Founder & CEO at Figma (00:57) Day Zero begins: backstage at Config (01:44) The "Coachella for Design" is real (02:35) Why Dylan started Config back in 2020 (03:47) Why "design is dead" is completely wrong (06:11) How Figma turned engineers into designers (06:54) Inside Config before the crowd arrives (07:55) The Config speakers Dylan can't wait to watch (11:34) Inside the exclusive Pantone Lounge (12:00) The one question every designer gets asked (13:16) Getting killed in every single game of Mafia (15:33) How to escape the permanent underclass of zero taste (19:51) Why execution is cheap but taste is everything (22:25) What actually builds a trusted brand (25:51) How AI agents are rewiring company structure (28:54) The AI safety debate happening right now (31:57) Why deep curiosity is Dylan's secret weapon (34:53) The real lesson from being a Thiel fellow (36:52) Rapid fire: Elad Gil's wildest question (38:04) What people are missing about AI & enterprise software (40:16) Where Figma goes next (41:21) Why Dylan is bullish on SpaceX (42:43) Elon Musk's logo theory (43:26) The mentors who shaped Dylan Field (45:20) Alan Kay, VR, and the future of human-computer interaction

Molly O’Shea

407,838 views • 14 days ago

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early
54:06

Brex co-founder and CEO Pedro Franceschi believes most people still underestimate how much AI will change the way companies are built. AI isn't just another tool, it's a new foundation for building products, teams, and companies. In this episode of Lightcone Podcast, Pedro Franceschi explains why we're only months into a platform shift as significant as the invention of electricity, why the CEO needs to be the chief AI officer, and why founders should rethink what's possible when intelligence is available on demand. 01:13 – How Pedro Became AI-Pilled 04:08 – The Electricity Analogy 05:21 – Free the Claw 06:56 – Making AI Safe for Enterprise 10:57 – Why Most Companies Are Behind 13:09 – AI Teammates, Not Chatbots 14:22 – The Case for Tokenmaxxing 18:24 – The Company of One 20:54 – The One Thing AI Can't Replace 28:06 – Building Customer World Models 32:58 – Rebuilding Brex Around AI 39:02 – The CEO Must Be the Chief AI Officer 43:50 – Building Company AGI 51:43 – Why We're Still So Early

Y Combinator

197,159 views • 1 month ago

BREAKING: Inside a16z's $22B AUM Growth Fund Waymo, Kalshi, Coinbase, Robinhood, Stripe, Revolut, ElevenLabs, Flock Safety, Harvey, EliseAI, Hebbia, Roblox, Anduril, Sardine With a fresh $6.75B Growth fund, General Partner Alex Immerman (Alex Immerman) shares how a16z evaluates category leaders & why firms are rethinking old metrics in the AI era. “If you look at OpenAI & Anthropic alone, those two companies added as much revenue last year as 1/2 of the public cloud universe excluding the Mag Seven.” Even as AI added ~$6T in market value to the stock market in 2025, we discuss the private companies driving the next wave of growth. Topics include: • Marc Andreessen lore • Why the fastest-growing tech companies are still private • Waymo’s expansion & the future of autonomous vehicles • ElevenLabs & the breakout of voice AI platforms • Kalshi & the rise of prediction markets • The four largest tech companies adding 1% to U.S. GDP growth with $400B in spending in 2025 • How a16z grew from a startup VC to capturing 18% of all U.S. venture capital • Why engagement, retention, & product defensibility matter more than ever Full conversation ↓ 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Alex Immerman, GP a16z (00:53) Flock Safety: Most underrated company in America (03:43) Private vs public market growth gap (04:43) Do gross margins matter in AI companies? (06:33) Waymo’s growth & $16B funding round (08:13) The future of ride sharing & autonomous vehicles (10:01) Where the value in self driving tech will accrue (12:27) Tesla FSD vs Waymo’s full stack approach (13:50) The growing brand power of Waymo (15:43) What comes after autonomous cars? (17:41) Are people really worried about AI taking over? (18:55) Inside ElevenLabs’ $500M funding round (22:12) The real world use cases of voice AI agents (22:55) How a16z invested in Kalshi (24:11) Why Kalshi over Polymarket? (26:35) Prediction markets vs g*mbling (29:33) Is fintech making a comeback? (32:44) Why stablecoins are becoming important (33:30) Lessons from Coinbase founder Brian Armstrong (34:19) How a16z evaluates growth companies (36:52) Where startups spend money: R&D vs marketing (38:44) Why startups need a strong Act 2 (40:08) Why venture outcomes are getting bigger & bigger (42:24) Why backing the market leader matters (43:49) The best books for founders (44:59) How a16z built its media machine (47:03) Who will be the first Trillionaire?
48:41

BREAKING: Inside a16z's $22B AUM Growth Fund Waymo, Kalshi, Coinbase, Robinhood, Stripe, Revolut, ElevenLabs, Flock Safety, Harvey, EliseAI, Hebbia, Roblox, Anduril, Sardine With a fresh $6.75B Growth fund, General Partner Alex Immerman (Alex Immerman) shares how a16z evaluates category leaders & why firms are rethinking old metrics in the AI era. “If you look at OpenAI & Anthropic alone, those two companies added as much revenue last year as 1/2 of the public cloud universe excluding the Mag Seven.” Even as AI added ~$6T in market value to the stock market in 2025, we discuss the private companies driving the next wave of growth. Topics include: • Marc Andreessen lore • Why the fastest-growing tech companies are still private • Waymo’s expansion & the future of autonomous vehicles • ElevenLabs & the breakout of voice AI platforms • Kalshi & the rise of prediction markets • The four largest tech companies adding 1% to U.S. GDP growth with $400B in spending in 2025 • How a16z grew from a startup VC to capturing 18% of all U.S. venture capital • Why engagement, retention, & product defensibility matter more than ever Full conversation ↓ 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Alex Immerman, GP a16z (00:53) Flock Safety: Most underrated company in America (03:43) Private vs public market growth gap (04:43) Do gross margins matter in AI companies? (06:33) Waymo’s growth & $16B funding round (08:13) The future of ride sharing & autonomous vehicles (10:01) Where the value in self driving tech will accrue (12:27) Tesla FSD vs Waymo’s full stack approach (13:50) The growing brand power of Waymo (15:43) What comes after autonomous cars? (17:41) Are people really worried about AI taking over? (18:55) Inside ElevenLabs’ $500M funding round (22:12) The real world use cases of voice AI agents (22:55) How a16z invested in Kalshi (24:11) Why Kalshi over Polymarket? (26:35) Prediction markets vs g*mbling (29:33) Is fintech making a comeback? (32:44) Why stablecoins are becoming important (33:30) Lessons from Coinbase founder Brian Armstrong (34:19) How a16z evaluates growth companies (36:52) Where startups spend money: R&D vs marketing (38:44) Why startups need a strong Act 2 (40:08) Why venture outcomes are getting bigger & bigger (42:24) Why backing the market leader matters (43:49) The best books for founders (44:59) How a16z built its media machine (47:03) Who will be the first Trillionaire?

Molly O’Shea

145,674 views • 4 months ago

BREAKING: Public Co-CEO Leif Abraham (Leif Abraham) Says Their AI Plan is Seriously Working Millions of users, billions in assets, billions in trading volume, + revenue doubling annually Recorded at NYSE 🏛 this is one of the more fun chats on finance & how Public is building the next-gen investing platform “for those who take it seriously." Public represents the first modern alternative to Schwab, Fidelity, & Vanguard — platforms built on decades-old infrastructure that haven't kept pace with today's investors or technology. Financial advisors are cooked. Public's difference: - Top 25% of wealth w/ real assets to compound - AI Agents automating investment workflows - "Generated Assets" creating custom indices — defense index up 350% in a month - Multi-asset trading (stocks, crypto, options, bonds - all in one place) 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Leif Abraham, Co-Founder & Co-CEO at Public (01:10) Competing with traditional brokers (03:45) AI agents for investing (05:22) Are Public’s videos AI or real? (06:31) Why the co-CEO model works (09:34) The evolution of Public (15:06) Growth, scale, and market cycles (17:59) Breaking down the product ecosystem (20:45) Public's design philosophy (22:59) Building portfolios with AI (26:33) Ideal customers (30:20) The decline of financial advisors (33:00) What AI replaces in wealth management (35:45) Risks and limits of AI agents (37:32) The “financial super app” debate (42:39) Prediction markets vs real investing (45:04) Will everything become tradable? (46:22) Tokenization: the hype vs. the reality (50:37) The future of financial platforms (55:56) VCX, closed-end funds & speculation risk (59:09) Would Public go public? (01:02:22) What’s next for Public (01:04:08) The dark AI prediction (01:06:52) Wealth taxes vs. UBI
1:09:17

BREAKING: Public Co-CEO Leif Abraham (Leif Abraham) Says Their AI Plan is Seriously Working Millions of users, billions in assets, billions in trading volume, + revenue doubling annually Recorded at NYSE 🏛 this is one of the more fun chats on finance & how Public is building the next-gen investing platform “for those who take it seriously." Public represents the first modern alternative to Schwab, Fidelity, & Vanguard — platforms built on decades-old infrastructure that haven't kept pace with today's investors or technology. Financial advisors are cooked. Public's difference: - Top 25% of wealth w/ real assets to compound - AI Agents automating investment workflows - "Generated Assets" creating custom indices — defense index up 350% in a month - Multi-asset trading (stocks, crypto, options, bonds - all in one place) 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Leif Abraham, Co-Founder & Co-CEO at Public (01:10) Competing with traditional brokers (03:45) AI agents for investing (05:22) Are Public’s videos AI or real? (06:31) Why the co-CEO model works (09:34) The evolution of Public (15:06) Growth, scale, and market cycles (17:59) Breaking down the product ecosystem (20:45) Public's design philosophy (22:59) Building portfolios with AI (26:33) Ideal customers (30:20) The decline of financial advisors (33:00) What AI replaces in wealth management (35:45) Risks and limits of AI agents (37:32) The “financial super app” debate (42:39) Prediction markets vs real investing (45:04) Will everything become tradable? (46:22) Tokenization: the hype vs. the reality (50:37) The future of financial platforms (55:56) VCX, closed-end funds & speculation risk (59:09) Would Public go public? (01:02:22) What’s next for Public (01:04:08) The dark AI prediction (01:06:52) Wealth taxes vs. UBI

Molly O’Shea

98,688 views • 3 months ago

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science
49:06

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Matt Turck

64,952 views • 1 month ago

Karri Saarinen (Karri Saarinen), co-founder and CEO of Linear, was the first designer at Coinbase and a lead designer at Airbnb. On Design Review with YC's Aaron Epstein, he shares how his design background shaped Linear's product philosophy, why quality and craft matter from day one, what founders should look for when hiring, and how AI is changing the way teams build. 02:00 – Lessons learned from YC, Coinbase, and Airbnb 06:00 – Building trust through brand and design 08:24 – Linear’s brand: craft, quality, and authenticity 10:40 – Why sales is part of the brand experience 13:10 – Shipping fast without losing quality 17:18 – Hiring for product taste and judgment 19:28 – Superpowers of designers as founders 21:12 – Advice for designers considering founding a startup 23:26 – Why founders should care about design from day one 25:24 – Tips for creating products that stand out 28:24 – Balancing creative freedom with shipping timelines 28:56 – How AI is changing design and product work 30:44 – Why AI won’t replace designers (and what shifts to expect) 32:44 – The future of product and design teams with AI
35:48

Karri Saarinen (Karri Saarinen), co-founder and CEO of Linear, was the first designer at Coinbase and a lead designer at Airbnb. On Design Review with YC's Aaron Epstein, he shares how his design background shaped Linear's product philosophy, why quality and craft matter from day one, what founders should look for when hiring, and how AI is changing the way teams build. 02:00 – Lessons learned from YC, Coinbase, and Airbnb 06:00 – Building trust through brand and design 08:24 – Linear’s brand: craft, quality, and authenticity 10:40 – Why sales is part of the brand experience 13:10 – Shipping fast without losing quality 17:18 – Hiring for product taste and judgment 19:28 – Superpowers of designers as founders 21:12 – Advice for designers considering founding a startup 23:26 – Why founders should care about design from day one 25:24 – Tips for creating products that stand out 28:24 – Balancing creative freedom with shipping timelines 28:56 – How AI is changing design and product work 30:44 – Why AI won’t replace designers (and what shifts to expect) 32:44 – The future of product and design teams with AI

Y Combinator

77,233 views • 9 months ago

State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, The Rise of Headless, and AI-Proofing Your Job 00:00 Intro 01:18 Silicon Valley engineering vs. everyone else 05:35 Are enterprise CIOs actually bullish on AI? 08:51 Tokenmaxxing & why your AI bill is about to explode 11:34 The myth of falling token costs and AI spend escaping IT budgets 17:37 The $5B startup hiding in AI compute 18:14 The mosaic of models inside every enterprise 21:28 Why coding works and the rest of knowledge work doesn't 25:53 The Bob and Sally problem: access control breaks agents 30:31 Will enterprise AI really take 10 years to roll out 32:24 The capability overhang: why faster models slow diffusion 34:23 Data is the bottleneck (it always was) 39:02 The rise of internal forward-deployed engineers 41:23 Why the AI doomers are wrong about jobs 43:43 Headless software is inevitable 46:14 What replaces per-seat pricing 47:37 How Box itself is going headless 49:42 How the org chart actually evolves 1:00:33 Future-proofing yourself as an enterprise employee 1:06:40 Are we all just going to work for OpenAI and Anthropic? 1:07:11 Where startups can still win as the labs move up
1:12:54

State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, The Rise of Headless, and AI-Proofing Your Job 00:00 Intro 01:18 Silicon Valley engineering vs. everyone else 05:35 Are enterprise CIOs actually bullish on AI? 08:51 Tokenmaxxing & why your AI bill is about to explode 11:34 The myth of falling token costs and AI spend escaping IT budgets 17:37 The $5B startup hiding in AI compute 18:14 The mosaic of models inside every enterprise 21:28 Why coding works and the rest of knowledge work doesn't 25:53 The Bob and Sally problem: access control breaks agents 30:31 Will enterprise AI really take 10 years to roll out 32:24 The capability overhang: why faster models slow diffusion 34:23 Data is the bottleneck (it always was) 39:02 The rise of internal forward-deployed engineers 41:23 Why the AI doomers are wrong about jobs 43:43 Headless software is inevitable 46:14 What replaces per-seat pricing 47:37 How Box itself is going headless 49:42 How the org chart actually evolves 1:00:33 Future-proofing yourself as an enterprise employee 1:06:40 Are we all just going to work for OpenAI and Anthropic? 1:07:11 Where startups can still win as the labs move up

Matt Turck

49,373 views • 1 month ago

My first interview with Brian Armstrong, Co-Founder and CEO of Coinbase 🛡️. 0:25 Crafting narratives 2:28 Bias towards action 4:06 Biggest calls in Coinbase’s history 5:53 Developing intuition for making big bets 7:30 Getting truth out of people 10:04 Being anti-authority 12:30 The 3 levels of communication 14:39 Practicing to pitch w Paul Graham in 2012 16:55 Working w Fred Ehrsam 20:33 Hashing out bad decisions in the early days 22:23 Having a scarcity mentality around people 23:31 Action produces information 27:34 “If you wait for perfect clarity, you’re never going to get anything done” 31:45 Uber vs Lyft in crypto 34:23 Building trust 36:30 Advancing the mission of Coinbase 38:33 Skillsets: fundraising, storytelling, recruiting, sales 40:10 Prediction markets and AI generated content 43:58 How he operates differently than other big startup CEOs 45:18 Solving his greatest fear 48:09 Burnout and running at a marathon pace 51:20 Experiencing pain 54:32 Hiking and getting out in nature 56:54 It’s always wartime 58:58 Defining moments of crisis 1:05:35 Finding the next marching post 1:07:18 Installing ideas in people’s minds 1:10:25 The power of bringing people together over dinner 1:13:00 Action produces action 1:14:10 Backing founders outside of Coinbase 1:15:45 Scheduling 4 week long-long vacations a year 1:18:35 Finding people who raise your energy 1:20:18 Leaving a trail of proof of work 1:23:03 Touching people emotionally 1:25:19 Why we built the Iron Bank of Braavos 1:26:38 Playing an infinite game 1:31:47 Selling brownies on The Silk Road 1:35:36 My philosophy for Relentless 1:38:35 Business is like playing Civilization 1:44:59 Bonding w Fred Ehrsam over video games 1:45:47 Never leave a meeting without next steps 1:49:06 How Coinbase makes acquisitions 1:50:30 Why Coinbase’s best acquisitions were people 1:52:00 Bitcoin is the new gold standard
1:54:29

My first interview with Brian Armstrong, Co-Founder and CEO of Coinbase 🛡️. 0:25 Crafting narratives 2:28 Bias towards action 4:06 Biggest calls in Coinbase’s history 5:53 Developing intuition for making big bets 7:30 Getting truth out of people 10:04 Being anti-authority 12:30 The 3 levels of communication 14:39 Practicing to pitch w Paul Graham in 2012 16:55 Working w Fred Ehrsam 20:33 Hashing out bad decisions in the early days 22:23 Having a scarcity mentality around people 23:31 Action produces information 27:34 “If you wait for perfect clarity, you’re never going to get anything done” 31:45 Uber vs Lyft in crypto 34:23 Building trust 36:30 Advancing the mission of Coinbase 38:33 Skillsets: fundraising, storytelling, recruiting, sales 40:10 Prediction markets and AI generated content 43:58 How he operates differently than other big startup CEOs 45:18 Solving his greatest fear 48:09 Burnout and running at a marathon pace 51:20 Experiencing pain 54:32 Hiking and getting out in nature 56:54 It’s always wartime 58:58 Defining moments of crisis 1:05:35 Finding the next marching post 1:07:18 Installing ideas in people’s minds 1:10:25 The power of bringing people together over dinner 1:13:00 Action produces action 1:14:10 Backing founders outside of Coinbase 1:15:45 Scheduling 4 week long-long vacations a year 1:18:35 Finding people who raise your energy 1:20:18 Leaving a trail of proof of work 1:23:03 Touching people emotionally 1:25:19 Why we built the Iron Bank of Braavos 1:26:38 Playing an infinite game 1:31:47 Selling brownies on The Silk Road 1:35:36 My philosophy for Relentless 1:38:35 Business is like playing Civilization 1:44:59 Bonding w Fred Ehrsam over video games 1:45:47 Never leave a meeting without next steps 1:49:06 How Coinbase makes acquisitions 1:50:30 Why Coinbase’s best acquisitions were people 1:52:00 Bitcoin is the new gold standard

Ti Morse

436,414 views • 3 months ago

Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
1:05:15

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

Matt Turck

11,908 views • 2 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

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.
49:12

AI INTERVIEW: OPENAI'S SECRET WEAPON AI agents are no longer just hype—they're here to revolutionize automation, Web3, and beyond. SwarmNode.ai is building a serverless AI agent platform for scalability, efficiency, and real-world impact. In this exclusive interview, he reveals how AI swarms can outperform single models, why OpenAI’s Operator is just the beginning, and how crypto is fueling AI innovation. Plus, he breaks down DeepSeek’s game-changing AI breakthrough, the future of agent monetization, and why serverless AI could be the next frontier in automation. 01:37 – From Engineering to AI: The journey into artificial intelligence. 02:43 – The GPT-3 Moment: How OpenAI’s tech pulled him in. 04:10 – AI’s Biggest Challenge: Why real-world use cases lag behind. 05:05 – OpenAI’s Operator: Why it’s “rudimentary” (for now). 06:25 – Crypto & AI: How tokens help bootstrap AI startups. 08:15 – Can You Bootstrap a Startup with a Token? The trade-offs. 09:56 – 90% of AI Token Holders Don’t Use the Product—Does It Matter? 11:18 – What is SwarmNode?: AI agents, hosted serverlessly. 14:23 – AI Swarms: Why multiple agents outperform single models. 16:08 – What is a Swarm? A simple definition of collaborative AI. 17:32 – “How Can I Make Money with AI?”: Real-world use cases. 18:41 – AI Bounties: Hiring devs to build your custom agent. 20:50 – The Future of AI Marketplaces: Monetizing pre-built agents. 23:15 – DeepSeek’s Disruption: Why it’s good news for AI. 24:46 – Is SwarmNode Compatible with DeepSeek? How it integrates. 26:17 – SwarmNode vs. AI Launchpads: What makes it different? 27:42 – Why Serverless Matters: Cost savings & efficiency. 29:53 – AI Agents in the Real World: Booking flights, managing workflows, and more. 31:11 – Building SwarmNode for Developers: Why it started as a personal project. 32:27 – Explosive Growth: 200,000 AI agent executions in 5 weeks. 34:41 – Why SwarmNode Agents Aren’t Visible on 𝕏 Yet. 36:46 – Startup Hiring Lessons: Finding top AI talent. 39:15 – Why SwarmNode is Built in Python (and What’s Next). 40:32 – Scaling AI Workloads: Handling traffic surges. 41:42 – AWS & Cost Challenges: The biggest monetization hurdle. 42:58 – 2025: The Year of Mass AI Adoption. 45:22 – Should We Be Worried About AI’s Rapid Growth? 46:46 – The Most Underrated AI Tools Right Now. 47:34 – What’s Next for SwarmNode?: Making AI accessible to everyone.

Mario Nawfal

338,140 views • 1 year ago

"What's drawn people together for thousands of years is stories." My full conversation with Phil & Dom, co-founders of EasyA - the Duolingo for blockchain, with over a million users learning crypto. We covered what it's really like building a company with your brother, why they left promising careers in finance and law, their partnerships with Ripple, Solana and Sui, why crypto matters in a post-quantum AI world, and why every brand will need a face to survive. 00:00 Intro 01:03 How This Pod Happened 03:20 Printing the Bitcoin Whitepaper at 16 05:11 Mining Bitcoin From the Basement 06:12 Wharton, Blackstone and Sullivan & Cromwell 07:55 What It's Like Building With Your Brother 28:47 The UK vs US Talent Drain 29:04 Their Friend Who Ran AI Safety at Anthropic 36:29 EasyA Is the Duolingo for Blockchain 38:06 Why They Teach Stories, Not Code 46:34 The Business Model and EasyA Labs 50:31 Why Crypto Solves the AI Trust Problem 54:04 Why Every Brand Needs a Face
1:04:35

"What's drawn people together for thousands of years is stories." My full conversation with Phil & Dom, co-founders of EasyA - the Duolingo for blockchain, with over a million users learning crypto. We covered what it's really like building a company with your brother, why they left promising careers in finance and law, their partnerships with Ripple, Solana and Sui, why crypto matters in a post-quantum AI world, and why every brand will need a face to survive. 00:00 Intro 01:03 How This Pod Happened 03:20 Printing the Bitcoin Whitepaper at 16 05:11 Mining Bitcoin From the Basement 06:12 Wharton, Blackstone and Sullivan & Cromwell 07:55 What It's Like Building With Your Brother 28:47 The UK vs US Talent Drain 29:04 Their Friend Who Ran AI Safety at Anthropic 36:29 EasyA Is the Duolingo for Blockchain 38:06 Why They Teach Stories, Not Code 46:34 The Business Model and EasyA Labs 50:31 Why Crypto Solves the AI Trust Problem 54:04 Why Every Brand Needs a Face

JackGK

26,719 views • 29 days ago