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“We really try to avoid non-player characters (when recruiting) - people who just go through life as if they’re on a stream and they have no agency over themselves.” Will Bryk. Co-founder and CEO of Exa. The founder who listens to the Mission Impossible soundtrack every morning, and finds... more inspiration in fictional superheroes than real-life ones, on how he’s building the company powering the internet of agents. Knuckle Up ↓ In this conversation with Will: 00:00 Who is Will Bryk? 01:49 Why do agents need a different search engine than humans? 02:53 How can an independent search company survive the big labs? 07:33 What does the internet look like when agents do the searching? 10:19 How did writing a book on the history of civilization lead to Exa? 15:39 Why does Exa hire first-principles thinkers, not rebels? 18:05 What is a “non-playable character,” and why does Exa screen for it? 19:49 How does Exa win engineers against the labs’ packages? 21:30 Why does Will kill process “before it lays eggs”? 26:27 Does the “bitter lesson” apply to humans? 29:52 What breaks when a company outgrows a single room? 34:47 Are there 100x and 1000x engineers now, not just 10x? 37:32 Why should nothing at Exa ever take a month to ship? 45:30 Where does Will’s drive actually come from? 48:28 Why are Will’s role models fictional, not real? 51:05 What does “We’ll figure it out” mean at Exa? 54:05 Why do Will’s best thoughts happen at 2:00 AM? 57:47 Quickfire: red flags, young founder myths, and Will’s mission impossibleshow more

Nakul Mandan

7,855 subscribers

91,362 views • 1 month ago •via X (Twitter)

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4 Comments

Nakul Mandan1 month ago

Knuckle Up: YT: Spotify:

Max Zang1 month ago

@WilliamBryk NPC's listening to the pod...

mrclhnz1 month ago

@semil @WilliamBryk @grok summarize this talk

Vivi1 month ago

@WilliamBryk Great interview! Very inspiring conversations and the visuals & aesthetics are amazing too! 🌸

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Nakul Mandan

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Wouter Teunissen

26,472 views • 1 year ago

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205,031 views • 3 months ago

“This feeling of ‘hey, I have arrived,’ or ‘okay, a company has been built, we have a stable business’ - it's completely elusive right now.” Arvind Jain (Arvind Jain). Glean. The founder in the pole position to own the context layer for AI in the enterprise. Knuckle Up ↓ In this conversation with Arvind Jain: 00:00 Who is Arvind Jain? 01:56 What is Glean's edge as OpenAI, Google, and Notion pile in? 04:56 MCP vs. context graphs: why did Glean go its own way? 07:56 What structural advantage does Glean claim over the frontier labs themselves? 11:00 How does Glean stack up against AI-native platforms like Notion? 12:38 What happens to the SaaS stack by 2027 and 2028? 14:52 Is Glean an app, an agent platform, or core infrastructure? 19:22 How much of Glean's use today is questions versus real agent work? 20:52 What does a knowledge worker's life look like in three years? 24:08 Why doesn't Arvind think AI will let companies shrink their workforce? 27:32 How does Arvind self-serve strategy, talent, and customer insight with AI? 33:19 Is every department at Glean AI-native, not just engineering? 36:44 What did Arvind find flawed in the AI SDR dream? 38:19 How has AI reshaped hiring at Glean, and who thrives there now? 41:07 Are Glean's 1,500 employees secretly doing the work of 2,500? 41:55 Why does Arvind say you never feel like you've “arrived”? 45:38 What's Arvind's advice for anyone who wants his life?

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266,221 views • 14 days ago

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MR SHIFT 🦁

584,416 views • 7 months ago

Did a PGX Ideas episode with Gad Saad. In case you guys aren’t familiar with the format — I take one central question and chase it with the guest. With Gad, I asked: Why do we want what we want? That led us to questions like: - Why humans are wired to consume - Why we over-consume and compare - Why men chase power - How marketing exploits evolutionary instincts - Why people buy ideologies, not just products - And how technology will change human desire itself The Hindi-dubbed AI version is also attached in this thread. Timestamps: 00:00 — Why are humans wired to consume? 05:27 — Why do people avoid emotional principles? 08:36 — Why do we over-consume? 13:04 — Why do men chase power? 17:32 — How do humans consume? 29:40 — Are fake smiles a form of social deception? 33:11 — Why did Mamdani win? 39:40 — What do marketers understand about humans? 43:24 — Why do we buy through comparison? 45:44 — What’s broken in modern society? 48:10 — Why do intellectuals dress poorly? 56:14 — How marketing psychology actually works 1:05:00 — How do generations differ in consumption? 1:07:44 — The Sydney Sweeney controversy 1:10:33 — Does morality shape evolution? 1:15:35 — How will technology change consumption? 1:22:46 — Questions for me

Did a PGX Ideas episode with Gad Saad. In case you guys aren’t familiar with the format — I take one central question and chase it with the guest. With Gad, I asked: Why do we want what we want? That led us to questions like: - Why humans are wired to consume - Why we over-consume and compare - Why men chase power - How marketing exploits evolutionary instincts - Why people buy ideologies, not just products - And how technology will change human desire itself The Hindi-dubbed AI version is also attached in this thread. Timestamps: 00:00 — Why are humans wired to consume? 05:27 — Why do people avoid emotional principles? 08:36 — Why do we over-consume? 13:04 — Why do men chase power? 17:32 — How do humans consume? 29:40 — Are fake smiles a form of social deception? 33:11 — Why did Mamdani win? 39:40 — What do marketers understand about humans? 43:24 — Why do we buy through comparison? 45:44 — What’s broken in modern society? 48:10 — Why do intellectuals dress poorly? 56:14 — How marketing psychology actually works 1:05:00 — How do generations differ in consumption? 1:07:44 — The Sydney Sweeney controversy 1:10:33 — Does morality shape evolution? 1:15:35 — How will technology change consumption? 1:22:46 — Questions for me

Prakhar Gupta

30,701 views • 8 months ago

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

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

Prakhar Gupta

32,104 views • 9 months ago

E176: Eric Larchevêque - Why Bitcoin Is the Only Money You Actually Own Eric Larchevêque is the co-founder of Ledger, the hardware wallet used to secure billions in crypto worldwide. He built his first company from zero, sold it for €27 million, lost his savings in a Latvian bank collapse, had his gold bars confiscated by a Luxembourg bank, and went 100% Bitcoin in 2013. He's now building TBSO - La Société Bitcoin - a publicly listed company co-founded with NBA legend Tony Parker Timestamps: 0:00 Introduction 2:00 Eric’s First Podcast In English 2:32 Where Does Eric’s Optimism Come From 3:31 The First Thing Eric Thinks Of Every Morning 4:03 What Eric’s AI Agents Do 5:47 What Does Eric Do & Why 6:53 Are The Majority Of People Ready For Responsibility? 8:01 Why People Need To Hit A wall 9:42 When Did Eric Take Responsibility For His Future? 11:48 Eric Had No Idea What Building A Company Meant 12:39 Who Is Eric Larcheveque? 13:21 Eric’s First Major Leap For His Company 14:30 What Will Become A Commodity In 5+ Years 18:21 Going From Building Websites To Bitcoin 27:31 Partnerships: Trezor @BitwiseInvest 28:17 Why Eric Went All In On Bitcoin 34:37 Did Eric Question The Volatility Of Bitcoin 38:52 Eric Believes He Could Still Be Wrong About Bitcoin 40:24 100% Of Eric’s Liquid Networth Is In Bitcoin 41:39 Eric’s Explanation Of Bitcoin & Time Preference 46:50 Why Look At Bitcoin As A Long-Term Asset Only 49:59 You Should Build A Bitcoin Strategy 53:07 Where Does Bitcoin Go In 10 Years 54:47 What Does A Bitcoin Dominant World Look Like 59:24 Partnership: KAST 1:00:12 Why Bitcoin Will Never Hit 0 1:03:54 How To Understand Bitcoin, Explained Simply 1:10:47 What Eric Learned While Building Ledger 1:16:03 Co-Founder Kidnapping Discussion & Advice 1:23:11 How Eric Sleeps Knowing Bad Situations Happen 1:25:56 Why Eric Stays In France 1:27:23 Partnerships: Jupiter Ethena 1:28:07 What Is The Bitcoin Society 1:32:25 Who’s Backing Bitcoin Society 1:32:51 What Does Tony Parker Do With Bitcoin? 1:33:46 Eric’s View On Learning To Learn 1:34:38 Why Eric Creates Videos When He Could Chill 1:37:19 Is Eric Building A Personal Brand? 1:39:00 Does Eric Feel Happier Now With Money? 1:40:04 Being An Entrepreneur Requires Sacrifice 1:41:22 Experiences Over Buying Extra Bitcoin 1:44:06 Do Everything To Achieve This One Thing 1:45:11 Closing Thoughts

MR SHIFT 🦁

103,729 views • 3 months ago

"AI agents will hold more crypto than humans within a decade." Charles Hoskinson (Charles Hoskinson) studied math, dropped out, built one of the only blockchains designed by peer-reviewed research. He co-founded Ethereum, walked away over how it was run, and built Cardano to do it differently. The man who has argued with everyone in this industry now thinks the biggest user of crypto won't be people at all. "Humans are a rounding error in the system we're building. AI agents don't sleep, don't panic-sell, and don't care about price. They transact in tokens because that's the only thing they can actually use." We cover: - Why AI agents (not humans) become the dominant on-chain actors, and what that does to every token model - The infrastructure that has to exist before agents can transact safely at scale - Why most current blockchains can't handle machine-speed transactions - Where Cardano's research-first approach fits in a world of autonomous agents - The identity problem: how do you tell a human from an agent on-chain, and why it matters - Why he's bullish on the technology but blunt about the timeline - What he thinks the rest of the industry is getting wrong about AI + crypto - The one thing that has to happen for any of this to be real Thanks to Charles for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 01:30 - Why AI Agents Change Everything 06:30 - Humans as a Rounding Error 12:00 - The Infrastructure Gap 18:30 - Identity: Human vs Agent On-Chain 24:30 - Where Cardano Fits 30:00 - What The Industry Gets Wrong 34:00 - The Timeline Nobody Wants To Hear

"AI agents will hold more crypto than humans within a decade." Charles Hoskinson (Charles Hoskinson) studied math, dropped out, built one of the only blockchains designed by peer-reviewed research. He co-founded Ethereum, walked away over how it was run, and built Cardano to do it differently. The man who has argued with everyone in this industry now thinks the biggest user of crypto won't be people at all. "Humans are a rounding error in the system we're building. AI agents don't sleep, don't panic-sell, and don't care about price. They transact in tokens because that's the only thing they can actually use." We cover: - Why AI agents (not humans) become the dominant on-chain actors, and what that does to every token model - The infrastructure that has to exist before agents can transact safely at scale - Why most current blockchains can't handle machine-speed transactions - Where Cardano's research-first approach fits in a world of autonomous agents - The identity problem: how do you tell a human from an agent on-chain, and why it matters - Why he's bullish on the technology but blunt about the timeline - What he thinks the rest of the industry is getting wrong about AI + crypto - The one thing that has to happen for any of this to be real Thanks to Charles for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 01:30 - Why AI Agents Change Everything 06:30 - Humans as a Rounding Error 12:00 - The Infrastructure Gap 18:30 - Identity: Human vs Agent On-Chain 24:30 - Where Cardano Fits 30:00 - What The Industry Gets Wrong 34:00 - The Timeline Nobody Wants To Hear

Michaël van de Poppe

293,517 views • 3 months ago

INSIGHT: Over 90% of blockchain transactions will be made by agents, not humans. The Co-Founder of Mysten Labs calls that number conservative. On this episode of The Intelligence Briefing, I sat down with Adeniyi.sui, on why the next trillion dollars does not come fromusers, why money movement has to be free, and why Sui is defending against AI before quantum. Timestamps: 0:33 Why the quiet part of the cycle is when the work happens 2:51 What an agent actually needs to transact 6:40 How much of crypto ends up run by agents 8:26 Quantum readiness, and two signature schemes shipped early 10:55 Gasless stablecoins, and how a free network still earns 14:23 What free settlement does for emerging markets 16:30 Is crypto dead, or did AI just take the attention 18:37 Putting Bitcoin to work without trusting anyone 22:46 Mubadala, and sovereign wealth going on chain 24:12 What success looks like for Sui 27:07 Closing thoughts

INSIGHT: Over 90% of blockchain transactions will be made by agents, not humans. The Co-Founder of Mysten Labs calls that number conservative. On this episode of The Intelligence Briefing, I sat down with Adeniyi.sui, on why the next trillion dollars does not come fromusers, why money movement has to be free, and why Sui is defending against AI before quantum. Timestamps: 0:33 Why the quiet part of the cycle is when the work happens 2:51 What an agent actually needs to transact 6:40 How much of crypto ends up run by agents 8:26 Quantum readiness, and two signature schemes shipped early 10:55 Gasless stablecoins, and how a free network still earns 14:23 What free settlement does for emerging markets 16:30 Is crypto dead, or did AI just take the attention 18:37 Putting Bitcoin to work without trusting anyone 22:46 Mubadala, and sovereign wealth going on chain 24:12 What success looks like for Sui 27:07 Closing thoughts

MSB Intel

18,371 views • 1 month ago

After meeting at the El Segundo Hackathon, it took the Theseus founders: ▸ two weeks to get into YC ▸ four weeks to fly their first GPS-denied drone navigation prototype And now, 7 months later, they've completed long-distance flight tests with American special forces. -- I got to sit down with Ian Laffey (Ian Laffey), Theseus CTO, to ask a bunch of technical questions about how the product works. (And he only had to tell me "sorry, that's a secret" one time.) Timestamps 00:00 — What is Theseus? 00:37 — What role does GPS play in modern conflict? 04:27 — What are the state of the art drones, and where did Theseus start? 07:35 — How did the company get started so quickly? 16:32 — How does GPS-denied drone navigation work? 21:56 — How can you defeat countermeasures & make the product resilient? ("If I say anything, my co-founders will kill me.") 24:11 — Why visual spectrum and not other sensors? 30:20 — Why is hardware so hard? 32:32 — How can you iterate quickly when building hardware? 38:21 — What's it like to build a hardware company as part of Y Combinator? 41:11 — What will Theseus demo before demo day? 42:27 — How do you move fast as a defense company? 47:30 — How well does the current prototype perform? 51:39 — What's next?

After meeting at the El Segundo Hackathon, it took the Theseus founders: ▸ two weeks to get into YC ▸ four weeks to fly their first GPS-denied drone navigation prototype And now, 7 months later, they've completed long-distance flight tests with American special forces. -- I got to sit down with Ian Laffey (Ian Laffey), Theseus CTO, to ask a bunch of technical questions about how the product works. (And he only had to tell me "sorry, that's a secret" one time.) Timestamps 00:00 — What is Theseus? 00:37 — What role does GPS play in modern conflict? 04:27 — What are the state of the art drones, and where did Theseus start? 07:35 — How did the company get started so quickly? 16:32 — How does GPS-denied drone navigation work? 21:56 — How can you defeat countermeasures & make the product resilient? ("If I say anything, my co-founders will kill me.") 24:11 — Why visual spectrum and not other sensors? 30:20 — Why is hardware so hard? 32:32 — How can you iterate quickly when building hardware? 38:21 — What's it like to build a hardware company as part of Y Combinator? 41:11 — What will Theseus demo before demo day? 42:27 — How do you move fast as a defense company? 47:30 — How well does the current prototype perform? 51:39 — What's next?

Christian Keil

57,916 views • 2 years ago

E137: From exposing Bitcoin’s biggest weakness to onboarding FIFA and MapleStory - Avalanche🔺 CEO and Founder Emin Gün Sirer🔺⚔️ - founder of Ava Labs 🔺, the company behind Avalanche - shares the journey from building Karma (a pre-Bitcoin digital currency) to pioneering Avalanche, the multi-chain blockchain reshaping crypto's infrastructure. From early academic battles with Bitcoin maxis to onboarding FIFA and MapleStory Universe, this is one of the wildest rides in Web3. Timestamps 0:00 Introduction 1:59 Opening Comments 2:55 What Is Your Mission 3:39 Who Are You 6:00 Business vs PHD Program 7:21 Chip on The Shoulder 9:32 Partnerships Jupiter, Money Badgers, Mantle 10:27 Chip On The Shoulder (Continued) 11:55 What Is An Internet Currency 13:55 Why Was Bitcoin Better 15:46 Biggest Flaws In Bitcoin 19:17 Is Maximalism A Good Thing 21:18 Does Maximalism Help Bitcoin 22:05 Fascination With Bitcoin & Crypto 23:33 Evolution With Time 25:11 Broader Crypto Use 27:26 Partnerships Trezor Sui 28:15 Avalanche Explained Simply 28:48 Shiny Object, Why People Fall For It 33:08 Moving Towards Show Me Era 34:27 What Emin Did Different 36:45 What Did You Do Wrong 38:10 Does The Best Tech Win 40:03 Avalanche, Home of Layer Ones? 42:10 How Does Avalanche Scale 43:38 The Gaming Blockchain 48:21 Real World Assets on Defy 50:31 How Big Is RWA 50:58 Why Transformation Is Slow 52:36 FIFA On Avalanche Blockchain, Why? 53:28 Endgame For Avalanche 56:48 Personal Difficulties While Building 58:30 What Did You Change Afterwards 1:01:25 Why Live In New York 1:03:40 Debanked After Moving 1:09:05 Crypto Full Mainstream, How? 1:10:43 Biggest Prediction In 12 Months

E137: From exposing Bitcoin’s biggest weakness to onboarding FIFA and MapleStory - Avalanche🔺 CEO and Founder Emin Gün Sirer🔺⚔️ - founder of Ava Labs 🔺, the company behind Avalanche - shares the journey from building Karma (a pre-Bitcoin digital currency) to pioneering Avalanche, the multi-chain blockchain reshaping crypto's infrastructure. From early academic battles with Bitcoin maxis to onboarding FIFA and MapleStory Universe, this is one of the wildest rides in Web3. Timestamps 0:00 Introduction 1:59 Opening Comments 2:55 What Is Your Mission 3:39 Who Are You 6:00 Business vs PHD Program 7:21 Chip on The Shoulder 9:32 Partnerships Jupiter, Money Badgers, Mantle 10:27 Chip On The Shoulder (Continued) 11:55 What Is An Internet Currency 13:55 Why Was Bitcoin Better 15:46 Biggest Flaws In Bitcoin 19:17 Is Maximalism A Good Thing 21:18 Does Maximalism Help Bitcoin 22:05 Fascination With Bitcoin & Crypto 23:33 Evolution With Time 25:11 Broader Crypto Use 27:26 Partnerships Trezor Sui 28:15 Avalanche Explained Simply 28:48 Shiny Object, Why People Fall For It 33:08 Moving Towards Show Me Era 34:27 What Emin Did Different 36:45 What Did You Do Wrong 38:10 Does The Best Tech Win 40:03 Avalanche, Home of Layer Ones? 42:10 How Does Avalanche Scale 43:38 The Gaming Blockchain 48:21 Real World Assets on Defy 50:31 How Big Is RWA 50:58 Why Transformation Is Slow 52:36 FIFA On Avalanche Blockchain, Why? 53:28 Endgame For Avalanche 56:48 Personal Difficulties While Building 58:30 What Did You Change Afterwards 1:01:25 Why Live In New York 1:03:40 Debanked After Moving 1:09:05 Crypto Full Mainstream, How? 1:10:43 Biggest Prediction In 12 Months

MR SHIFT 🦁

93,188 views • 1 year ago

tylercowen is bullish on AI education — here's why. 00:00 -- Preview 00:24 -- President Carlos Carvalho's AI-generated intro 03:21 -- Cowen reacts to UATX's campus 04:38 -- The AI revolution is here. Who will lose the most? 06:05 -- AI lawyers 07:17 -- Don't underestimate this 10:41 -- Changes to the "upper upper middle class" 12:38 -- How to be successful 13:43 -- The rise of managerial empires 14:02 -- When will we have the first billion dollar company with one employee? 16:05 -- 10-20 year forecast 16:19 -- Why education is so behind 17:01 -- Should you be bullish on UATX? 18:36 -- Should you still read Homer? 21:50 -- Write to think 25:01 -- Meet more people 25:42 -- How to get hired 26:54 -- Is AI your best mentor? 38:17 -- How to curb cheating 39:02 -- The new life of the mind 42:34 -- Q&A: Will there be more status associated with real education or AI education? 45:50 -- Q&A: Why do tech-savvy students need to practice using AI? 47:56 -- Q&A: Do LLMs atrophy your mind? 49:29 -- Q&A: How do you avoid AI-dependency? 51:05 -- Q&A: Isn't this vision lonely and isolating? 53:06 -- Q&A: Do students need teachers? 55:36 -- Q&A: What are the four most important courses for undergrads? 57:49 -- Q&A: Which AI company will win the AI race in the next five years and why? 59:22 -- Q&A: Can AI teach religion? 01:01:32 -- Q&A: Will AI narrow or widen our world? 01:04:37 -- Q&A: What makes us human? 01:05:42 -- Q&A: What is art? 01:08:33 -- Q&A: It's easy to catch cheaters

tylercowen is bullish on AI education — here's why. 00:00 -- Preview 00:24 -- President Carlos Carvalho's AI-generated intro 03:21 -- Cowen reacts to UATX's campus 04:38 -- The AI revolution is here. Who will lose the most? 06:05 -- AI lawyers 07:17 -- Don't underestimate this 10:41 -- Changes to the "upper upper middle class" 12:38 -- How to be successful 13:43 -- The rise of managerial empires 14:02 -- When will we have the first billion dollar company with one employee? 16:05 -- 10-20 year forecast 16:19 -- Why education is so behind 17:01 -- Should you be bullish on UATX? 18:36 -- Should you still read Homer? 21:50 -- Write to think 25:01 -- Meet more people 25:42 -- How to get hired 26:54 -- Is AI your best mentor? 38:17 -- How to curb cheating 39:02 -- The new life of the mind 42:34 -- Q&A: Will there be more status associated with real education or AI education? 45:50 -- Q&A: Why do tech-savvy students need to practice using AI? 47:56 -- Q&A: Do LLMs atrophy your mind? 49:29 -- Q&A: How do you avoid AI-dependency? 51:05 -- Q&A: Isn't this vision lonely and isolating? 53:06 -- Q&A: Do students need teachers? 55:36 -- Q&A: What are the four most important courses for undergrads? 57:49 -- Q&A: Which AI company will win the AI race in the next five years and why? 59:22 -- Q&A: Can AI teach religion? 01:01:32 -- Q&A: Will AI narrow or widen our world? 01:04:37 -- Q&A: What makes us human? 01:05:42 -- Q&A: What is art? 01:08:33 -- Q&A: It's easy to catch cheaters

University of Austin (UATX)

27,770 views • 8 months ago

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

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

Nakul Mandan

440,533 views • 4 months ago

Fogo Blockchain Exposed: Why everybody has it wrong 00:00 Intro 00:53 How Robert Met Clemente 04:00 Leaving Banking Behind for Bitcoin 12:05 Fogo and the trading problems it solves 19:44 Why does on-chain trading need to exist? 25:53 What Makes Fogo a Different Kind of L1 31:32 How Colocation Actually Protects Retail Traders 37:08 How do you jump-start a brand new market? 40:08 Why Tokens Are Becoming Better Than Equity 46:00 How Web3 Finally Empowers Creators 53:10 Why Traditional Media Is Losing Everything 57:43 How does BoDoggos team create content

Nick O’Neill

70,737 views • 8 months ago

E181: The Wolf Of All Streets - Bitcoin and chill. That's the whole thesis Scott Melker hosts The Wolf Of All Streets and just launched the first daily crypto show on a mainstream network with Yahoo Finance. He was a DJ before he was a trader, got wrecked as a top creditor in the Voyager collapse, and rebuilt his entire approach to money around one asset. We get into why he's almost entirely Bitcoin now, what he actually tells his audience to do with their cash, and what guests say once the cameras stop rolling. Timestamps: 00:00 Intro 01:52 Why Scott dressed up for this Podcast 02:54 Where does the optimism come from? 03:41 Something that never got better? 04:43 Who are you? 07:05 Why do DJs fall down the crypto rabbit hole? 08:48 Did you actually make money trading? 09:51 When did you go beyond trading? 11:42 Sponsor: Variational , Bitwise 12:34 Is crypto still relevant in 2026? 13:33 Does crypto go higher from here? 14:38 How do I participate without building a business? 16:11 What do you buy every month? 18:50 How do you form your opinions? 20:04 What about yield? 21:01 Can you still make it in crypto without a business? 21:52 Will Bitcoin trade much higher? 23:42 Taking a media business to the next level 25:14 How did the Yahoo Finance show happen? 26:29 How to not get bored when crypto gets boring? 28:06 Sponsor: KAST 28:58 Crypto media sucks - how do we grow the pie? 30:00 Biggest lessons from interviewing the best? 31:44 What do you tell the dad who wants to trade Bitcoin? 34:17 How does the average Joe get rich in 2026? 35:37 What did you learn in 2022? 38:05 What do you buy besides Bitcoin? 39:23 Scott's most unexpected best interview? 41:25 When did a personal brand become a game changer? 43:00 The biggest myth about investing 44:12 Sponsor: Jupiter , Ethena 44:52 What's your goal with your media company? 47:17 Do you have a number in mind? 49:05 What's the risk of not owning Bitcoin? 50:38 What do you hear behind the scenes? 52:01 How do you stay motivated in a bear market? 53:32 Give us your optimism

MR SHIFT 🦁

206,869 views • 1 month ago

The Financial System Built on Bitcoin with Arnab Naskar | SLP712 Arnab Naskar @stokr, Co-founder, STOKR joins me to discuss how Bitcoin as a settlement layer & Liquid enable tokenization, confidential tx, capital markets, and new financing for energy & mining. (00:00) - Intro (00:59) - Who is Arnab and what is Stokr? (02:29) - Isn’t Bitcoin enough? (04:44) - How and why is Stokr different?; The importance of Liquid Network (08:35) - How does Liquid compete with other chains for tokenization of assets? (11:54) - What is CMSTR? (15:01) - Does Stokr help finance SMEs & traditional businesses? (18:23) - What is Blockstream Mining Note (BMN)? (24:34) - Trust minimising the ownership of securities; Whitelisting process (28:57) - How big is Liquid Network 🌊? How does it fare compared to other asset platforms? (33:43) - Who are the customers of Stokr’s tokenized products? (37:34) - What does the interface between Stokr and the end user look like?; The Blockstream edge (46:11) - Is TradFi embracing tokenization of assets?; Will Bitcoin be the base layer for tokenization? (56:25) - Closing thoughts

The Financial System Built on Bitcoin with Arnab Naskar | SLP712 Arnab Naskar @stokr, Co-founder, STOKR joins me to discuss how Bitcoin as a settlement layer & Liquid enable tokenization, confidential tx, capital markets, and new financing for energy & mining. (00:00) - Intro (00:59) - Who is Arnab and what is Stokr? (02:29) - Isn’t Bitcoin enough? (04:44) - How and why is Stokr different?; The importance of Liquid Network (08:35) - How does Liquid compete with other chains for tokenization of assets? (11:54) - What is CMSTR? (15:01) - Does Stokr help finance SMEs & traditional businesses? (18:23) - What is Blockstream Mining Note (BMN)? (24:34) - Trust minimising the ownership of securities; Whitelisting process (28:57) - How big is Liquid Network 🌊? How does it fare compared to other asset platforms? (33:43) - Who are the customers of Stokr’s tokenized products? (37:34) - What does the interface between Stokr and the end user look like?; The Blockstream edge (46:11) - Is TradFi embracing tokenization of assets?; Will Bitcoin be the base layer for tokenization? (56:25) - Closing thoughts

Stephan Livera

24,328 views • 8 months ago