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"They said AI would replace design. Instead it proved how much design matters." That's Felix Lee's line, and he'd know. A VC told him at 20 that Singaporeans can't build companies. No design degree, rejected from the jobs he wanted. Then he built ADPList into the biggest free mentorship...

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Julia Fedorin

7,247 subscribers

17,863 görüntüleme • 24 gün önce •via X (Twitter)

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16 Yorum

Felix Lee profil fotoğrafı
Felix Lee24 gün önce

@ADPList Julia, what a phenomenal listen. I haven't done these in a while, and it feels great to be back on ice too. 🧊 You're an incredible interviewer!

Julia Fedorin profil fotoğrafı
Julia Fedorin23 gün önce

@ADPList Appreciate you so much Felix!!! 🫶

Jeff profil fotoğrafı
Jeff24 gün önce

@felixleezd @ADPList Sg

Shreyans Bhansali profil fotoğrafı
Shreyans Bhansali23 gün önce

@felixleezd @ADPList AI made pixels cheap. deciding which pixels should exist became considerably more valuable

Vijay Choudhary profil fotoğrafı
Vijay Choudhary24 gün önce

@felixleezd @ADPList bad decisions lead to great stories.

ADPList profil fotoğrafı
ADPList24 gün önce

@felixleezd goated for this location, Julia! 🐐🧊

Julia Fedorin profil fotoğrafı
Julia Fedorin23 gün önce

@felixleezd Hehehe thanksssss🤩

Ryan H profil fotoğrafı
Ryan H24 gün önce

@felixleezd @ADPList It's siiiiiiick!

Helen海倫 | 🐬TermMax | (✱,✱) profil fotoğrafı
Helen海倫 | 🐬TermMax | (✱,✱)24 gün önce

@felixleezd @ADPList guess judgment beats pixels after all

MaeveKnows profil fotoğrafı
MaeveKnows23 gün önce

@felixleezd @ADPList Really amazing interview here Julia, love the choice of questions

Julia Fedorin profil fotoğrafı
Julia Fedorin23 gün önce

@felixleezd @ADPList Aww thank you Maeve😊

Michael Perdomo profil fotoğrafı
Michael Perdomo24 gün önce

@felixleezd @ADPList taste is the new bottleneck, not execution. when output gets infinite, curation beats creation every time. ADPList's growth is just the proof.

Na me be Pot and the Kettle profil fotoğrafı
Na me be Pot and the Kettle24 gün önce

@felixleezd @ADPList It’s always “designers who ship…” And never “Devs who design” or “Frontend devs who ship backend” or “BE devs who ship clean Frontend” or “PMs who ship design, front and backend”…. Tch 😑

Julia Fedorin profil fotoğrafı
Julia Fedorin24 gün önce

watch on YT:

Julia Fedorin profil fotoğrafı
Julia Fedorin24 gün önce

listen on Spotify:

dhillon profil fotoğrafı
dhillon23 gün önce

@felixleezd @ADPList woah filming at a new location, love it!!

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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

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671,989 görüntüleme • 4 ay önce

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In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

Y Combinator

107,806 görüntüleme • 6 ay önce

Inside Nemotron and NVIDIA's AI lab: my conversation with Bryan Catanzaro (Bryan Catanzaro). NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models - and then give them away for free? We go deep into the Nemotron models, what it takes to build a top AI lab, and the future of frontier AI. 01:33 - Is open source AI catching the frontier? 05:29 - Do closed labs blocking distillation slow open source down? 07:42 - Is the US falling behind China? 10:30 - Why companies actually choose open models 12:39 - A "crazy" 2008 bet: machine learning on GPUs 15:33 - Working with Andrew Ng and Dario Amodei at Baidu 17:41 - Coming back to NVIDIA: DLSS and the birth of Megatron 21:55 - The real reason NVIDIA builds its own models 24:28 - Is Moore's Law really dead? 33:37 - The Nemotron family: Nano, Super, Ultra 35:09 - Built for agents: why NVIDIA bets on speed 36:02 - How you train a 550B model in 4 bits 39:25 - Hybrid Mamba-Transformer, explained simply 42:31 - Mixture of experts, and why NVIDIA built NVL72 around it 47:26 - Why a 1-million-token context window matters 49:26 - Multi-token prediction: how the model predicts 5 tokens at once 52:47 - Multi-teacher distillation: teaching one model from many 58:01 - Where reinforcement learning goes next 01:00:16 - Inside NVIDIA's research org: "the mission is the boss" 01:04:03 - How NVIDIA decides who gets the GPUs 01:10:53 - Why NVIDIA still feels entrepreneurial after 33 years 01:12:58 - Why Bryan doesn't believe in the singularity 01:17:50 - The AI backlash 01:19:18 - The controversial case: open AI is safer than closed
1:22:57

Inside Nemotron and NVIDIA's AI lab: my conversation with Bryan Catanzaro (Bryan Catanzaro). NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models - and then give them away for free? We go deep into the Nemotron models, what it takes to build a top AI lab, and the future of frontier AI. 01:33 - Is open source AI catching the frontier? 05:29 - Do closed labs blocking distillation slow open source down? 07:42 - Is the US falling behind China? 10:30 - Why companies actually choose open models 12:39 - A "crazy" 2008 bet: machine learning on GPUs 15:33 - Working with Andrew Ng and Dario Amodei at Baidu 17:41 - Coming back to NVIDIA: DLSS and the birth of Megatron 21:55 - The real reason NVIDIA builds its own models 24:28 - Is Moore's Law really dead? 33:37 - The Nemotron family: Nano, Super, Ultra 35:09 - Built for agents: why NVIDIA bets on speed 36:02 - How you train a 550B model in 4 bits 39:25 - Hybrid Mamba-Transformer, explained simply 42:31 - Mixture of experts, and why NVIDIA built NVL72 around it 47:26 - Why a 1-million-token context window matters 49:26 - Multi-token prediction: how the model predicts 5 tokens at once 52:47 - Multi-teacher distillation: teaching one model from many 58:01 - Where reinforcement learning goes next 01:00:16 - Inside NVIDIA's research org: "the mission is the boss" 01:04:03 - How NVIDIA decides who gets the GPUs 01:10:53 - Why NVIDIA still feels entrepreneurial after 33 years 01:12:58 - Why Bryan doesn't believe in the singularity 01:17:50 - The AI backlash 01:19:18 - The controversial case: open AI is safer than closed

Matt Turck

56,954 görüntüleme • 2 ay önce

THE LIBRARY OF MINDS: EPISODE 3 - Soleio Cuervo (Soleio) Early designer at Facebook & Dropbox, co-inventor of the Like button, and design-driven investor behind Figma, Perplexity, and Delphi. We discuss: • The untold story of the Facebook Like button • Defining the role of “Product Designer” at Facebook • Building world-class design cultures at scale • Balancing speed vs. excellence in product teams • When intuition fails - and data saves you Plus: Lessons in hybrid designer-engineers, hackathon culture, trust & safety, and how AI is redefining great UX. Bonus: Soleio on utility vs. beauty, system-centric design, and why digital minds might be the next design frontier. (00:00) - Intro (01:00) - Who is Soleio Cuervo (02:00) - Early web days: The origins of product design (04:37) - Inventing the ‘product designer’ role at Facebook (07:43) - Culture of speed, ownership, and building at Facebook (11:45) - Shipping fast: The story of Facebook’s Like button (13:54) - When to persist and when to quit: Loonshots, ‘false fails’, and user onboarding at Facebook (17:49) - Transitioning cultures: From Facebook’s speed to Dropbox’s trust (20:54) - Balancing speed with excellence: Lessons for AI-era startups (22:28) - Is speed or quality a stronger differentiator in today’s tech world? (24:35) - Can design be a moat in the age of AI? (27:35) - Rethinking UX in an AI-native world (29:08) - Why Soleio invested in Delphi: The “Oprahbot” idea and digital minds
33:00

THE LIBRARY OF MINDS: EPISODE 3 - Soleio Cuervo (Soleio) Early designer at Facebook & Dropbox, co-inventor of the Like button, and design-driven investor behind Figma, Perplexity, and Delphi. We discuss: • The untold story of the Facebook Like button • Defining the role of “Product Designer” at Facebook • Building world-class design cultures at scale • Balancing speed vs. excellence in product teams • When intuition fails - and data saves you Plus: Lessons in hybrid designer-engineers, hackathon culture, trust & safety, and how AI is redefining great UX. Bonus: Soleio on utility vs. beauty, system-centric design, and why digital minds might be the next design frontier. (00:00) - Intro (01:00) - Who is Soleio Cuervo (02:00) - Early web days: The origins of product design (04:37) - Inventing the ‘product designer’ role at Facebook (07:43) - Culture of speed, ownership, and building at Facebook (11:45) - Shipping fast: The story of Facebook’s Like button (13:54) - When to persist and when to quit: Loonshots, ‘false fails’, and user onboarding at Facebook (17:49) - Transitioning cultures: From Facebook’s speed to Dropbox’s trust (20:54) - Balancing speed with excellence: Lessons for AI-era startups (22:28) - Is speed or quality a stronger differentiator in today’s tech world? (24:35) - Can design be a moat in the age of AI? (27:35) - Rethinking UX in an AI-native world (29:08) - Why Soleio invested in Delphi: The “Oprahbot” idea and digital minds

Dara

75,367 görüntüleme • 11 ay önce

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

172,640 görüntüleme • 1 yıl önce

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

99,045 görüntüleme • 5 ay önce

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI
1:30:01

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

206,702 görüntüleme • 1 ay önce

"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 görüntüleme • 3 ay önce

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:
1:11:41

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

450,952 görüntüleme • 4 ay önce

My full conversation with Spencer, founder of Orange Cap Games & new CEO of Moonbirds. The first ever upload of Max Abstraction. Enjoy! Chapters: 00:00 – Intro & Spencer joins Max Abstraction 06:45 – Spencer’s Web3 & gaming background 17:08 – Vibes: early challenges & lessons 27:14 – Crypto vs traditional gamer culture 34:08 – Korea’s impact on crypto & NFTs 39:04 – Sneak peek: Legend of the Littles 42:42 – Vibes’ evolving art & quality focus 46:27 – Breaking silhouette fatigue 50:51 – Art integrity & QC obsession 56:34 – How the Moonbirds deal happened 57:32 – Why OCG bought Moonbirds, not SV 58:53 – Mythics art: the hidden gem 01:01:49 – Moonbirds vs Mythics 01:02:41 – Market reacts to the acquisition 01:04:30 – Why Moonbirds needed new hands 01:06:18 – Vibes proves what OCG can do 01:07:42 – Set 3 is already in motion 01:09:13 – Doing it right vs fast 01:10:44 – Product-first mindset 01:12:15 – The future of Moonbirds
2:25:25

My full conversation with Spencer, founder of Orange Cap Games & new CEO of Moonbirds. The first ever upload of Max Abstraction. Enjoy! Chapters: 00:00 – Intro & Spencer joins Max Abstraction 06:45 – Spencer’s Web3 & gaming background 17:08 – Vibes: early challenges & lessons 27:14 – Crypto vs traditional gamer culture 34:08 – Korea’s impact on crypto & NFTs 39:04 – Sneak peek: Legend of the Littles 42:42 – Vibes’ evolving art & quality focus 46:27 – Breaking silhouette fatigue 50:51 – Art integrity & QC obsession 56:34 – How the Moonbirds deal happened 57:32 – Why OCG bought Moonbirds, not SV 58:53 – Mythics art: the hidden gem 01:01:49 – Moonbirds vs Mythics 01:02:41 – Market reacts to the acquisition 01:04:30 – Why Moonbirds needed new hands 01:06:18 – Vibes proves what OCG can do 01:07:42 – Set 3 is already in motion 01:09:13 – Doing it right vs fast 01:10:44 – Product-first mindset 01:12:15 – The future of Moonbirds

Ely

24,807 görüntüleme • 1 yıl önce