Bill Gurley spent years on Wall Street, built his career as a partner at Benchmark, worked through Uber’s hypergrowth era, and now serves on the board of the Santa Fe Institute, where he studies complexity and systems thinking.

In this episode, Bill shares the mental models he returns to most, including systems thinking, second- and third-order effects, and the importance of understanding both the bedrock of your field and the bleeding edge.

He explains what separates great founders, why storytelling and product instincts matter, how he uses AI across different models, and what he sees coming in open source, China, stablecoins, tokenization, payments, and venture capital. 

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Timestamps:

(00:00) Key Mental Models

(02:02) Investing Journey and Key Players

(05:21) Knowing the Bedrock of the Industry

(08:50) Obsessive Learning in Founders

(10:04) The Silent Edge

(11:44) Surprising AI Use

(13:13) The Future of AI Models

(14:17) Global AI Regulation

(18:12) Impacts of AI on Investing

(19:53) Are There Limitations on Training AI Models?

(23:04) Would You Sit in the Back Seat While Your Tesla Drives?

(24:15) Non-Consensus Opinions

(24:53) Are We Overfunding this Buildout?

(29:40) The Role of Retail Investors and Tokenization

(34:26) What is a Stablecoin?

(37:58) Competitive Mode: Visa and Mastercard

(39:55) AI and Debt Analysis

(45:05) The Craft of Storytelling and Writing

(48:07) Founder Advantage: Product Instinct

(50:12) Real World Lessons from Working With Uber

(52:10) Inside Benchmark’s Success

(59:42) What is Success for You?

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Follow Bill Gurley

LinkedIn: https://www.linkedin.com/in/billgurley/

X: https://x.com/bgurley?lang=en

Check out Runnin’ Down a Dream: How to Thrive in a Career You Actually Love

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Mark Pincus is the creator behind Farmville and Words with Friends. He built Zynga into one of the biggest gaming companies in the world and helped shape the early era of social products on the internet.

In this conversation, he breaks down how great founders spot winning ideas early, why most startups build the wrong thing, and how products become part of people’s daily lives.

He shares lessons from building Zynga, missing the opportunity behind social networking before Facebook took off, navigating platform risk during Zynga’s explosive growth, and rebuilding his confidence after major failures.

You’ll learn how to test ideas faster, what separates products people try from products people love, how to avoid “death by compromise” as a founder, and why the best builders stay obsessed with what users actually want.

+ Members get the longer, extended version of this conversation, with additional content not included in the public release. Join Now.

+ +Pre-order Life at the Speed of Play: Launch Products People Love!

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Timestamps:

(00:00) The Principles of Great Products

(01:34) How to Test if Your Idea Has "Heat"

(04:02) Falling Out with His Father

(06:14) Early Career Fails

(09:27) The Presentation that Kicked him out of Bain

(12:04) The Book of Life System for Making Strategic Decisions

(17:56) Why Your Instincts are Good and Your Ideas are Bad

(22:29) Copying is the Key to Great Product Design

(23:22) System for Building Great Products

(24:05) How to Use "Proven Better New" to Build Ideas

(27:39) Why Deconstruction Leads to Better Products

(29:33) All Founders Go Through This

(35:14) How Zynga Changed Social Gaming

(37:25) Pitching Zynga to Steve Jobs

(40:36) The Fatal Mistake Founders Make

(41:24) The Fight Between Peter Thiel and Sequoia

(43:03) The Explosion of Farmville

(45:45) Zynga's Near-Death Experience on Facebook

(48:36) Why Failure Machines Reveal Your Best Ideas

(49:28) The Thing that Almost Killed Words with Friends

(53:05) Why the Minimum Viable Product Approach is Hurting You

(54:03) Building Fast is More Important than Building Right

(56:19) How Zynga Missed Their Instagram Moment

(58:50) Your Company Should Be a Democratic Dictatorship

(1:02:25) How to Build a Meritocracy in Your Company

(1:03:44) Jeff Bezos' Invaluable Management Trick

(1:05:25) Bezos Hack: Scaling Leadership with Tech Assistants

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Follow Mark Pincus

LinkedIn: https://www.linkedin.com/in/markpincus/

X: https://x.com/markpinc

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Chung Ju-yung built Hyundai because he refused to be stopped.

He is known for turning Hyundai into an industrial force that helped transform South Korea. The company built highways, ships, cars, and entire industries. At its peak, Hyundai accounted for 16% of South Korea’s economic output.

This episode explores how Chung built Hyundai, how he helped power South Korea’s rise, and how hunger, guilt, discipline, and relentless persistence shaped a man who refused to stop when the path disappeared.

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Timestamps:

(00:00) Introduction 

(02:40) Running Away from Home

(12:15) A Lesson from Bedbugs

(17:36) His First Auto Repair Shop

(21:22) The Beginning of Hyundai 

(26:09) The Impact of the Korean War 

(30:12) The Goryeong Bridge

(37:20) Trust and the Korean Government 

(49:31) Competence Over Connections

(55:13) Building a Nation

(01:03:00) Building During the Vietnam War

(01:10:00) Soyang River Dam

(01:14:55) Building an Expressway 

(01:23:14) Time to Start Making Cars…

(01:34:24) …And Ships

(01:47:04) The Secret Bid for Jubail

(01:57:35) The 1988 Olympics

(02:01:33) The Chung Family Dynamic

(02:05:00) The Government Crackdown 

(02:10:00) Crossing the DMZ

(02:12:06) Diligence Will Overcome all Difficulties

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Winston Weinberg is the CEO and co-founder of Harvey, the AI platform built for the legal industry.

In this episode, Winston explains how AI is reshaping legal work, why judgment becomes more valuable as routine work gets automated, and how to build the prioritization muscle required to move faster, stay focused, and make better decisions when everything is changing.

He also shares the operating principles behind Harvey’s growth: make decisions faster, treat most choices as two-way doors, use stress to build resilience, prioritize the one thing that matters most and the Google Doc that drives it all.

Harvey began with a simple test: take real legal questions, run them through GPT-3, and ask experienced lawyers whether they would send the answers with zero edits. On 86 out of 100 questions, three out of three attorneys said yes.

This is a conversation about AI, law, speed, resilience, and building in a world where the bar keeps getting higher.

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Timestamps:

(00:00:00) “The List” that Powers Winston’s $11B Business

(00:02:20) How to Say “No” Like a CEO

(00:07:26) The 3 Principles for Strong Decision-Making

(00:08:18) How Harvey is Changing the Legal World

(00:11:36) One Cold Email to Sam Altman that Changed Everything

(00:12:56) The Demo Strategy that Shocked Investors

(00:17:55) Advice Winston Didn't Take

(00:19:34) The Deal that Almost Killed Harvey

(00:21:56) How to Build Resilience to Failure

(00:24:00) How Winston Hacks His Stress

(00:29:36) The Key to Creating a Sense of Urgency on Your Team

(00:31:29) The Kinds of People Not to Hire at Startups

(00:35:09) How to Screen for Resiliency in Interviews

(00:41:49) Winston's Advice for Law Students

(00:45:28) Would AI Make a Better Lawyer than a Human?

(00:48:54) The Future of Agent-Powered Law Firms

(00:49:14) Will AI Cause Law Firms to Shrink?

(00:52:45) Can AI-Only Law Firms Exist?

(00:54:52) Why Legal Costs Aren't Going Down

(00:56:48) Three Principles All Entrepreneurs Need to Follow

(01:00:54) How Winston Defines Success

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Follow Winston Weinberg

LinkedIn: https://www.linkedin.com/in/winston-weinberg/

Harvey: https://www.harvey.ai/blog/author/winston-weinberg

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Thank you to the sponsors for this episode:

+CoinShares: Delivering Reason to Digital Asset Investing. ⁠https://coinshares.com/⁠

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+HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Try for free at https://www.heygen.com/

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The AI race, the future of AGI, and the inside story of OpenAI.

Greg Brockman is the co-founder of OpenAI. This is the most detailed first-person account he has given of the 72 hours after Sam Altman was fired, how OpenAI started, and the future.

Greg explains how the original Napa offsite produced the three-step technical plan OpenAI has followed for a decade and the real reason OpenAI had to abandon its pure nonprofit structure.

He then walks through the 72 hours after Sam Altman was fired: where he was when he got the board call, why he quit the same day, how the "Phoenix" backup company was designed at Sam's house the next morning, and the moment Ilya Sutskever's tweet changed everything.

From there, the conversation turns forward: whether we're in a global AI race, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), why OpenAI stopped showing reasoning traces, what a compute-constrained world means for who gets access to AGI, and Greg's answer to the question everyone is really asking: What happens to your job?

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Timestamps:

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 The Change from a Pure Non-Profit

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 OpenAI Employees Sign Petition for Altman's Return

00:23:43 Ilya Sutskever Leaves OpenAI

00:24:59 Lessons Learned in Leadership 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 Are AI Chatbots Just Telling 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 Competing Countries Stealing AI Advancements from U.S?

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 OpenAI Will 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?

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Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠

Follow Greg Brockman:

LinkedIn: https://www.linkedin.com/in/thegdb/

Blog: https://blog.gregbrockman.com/

------

Thank you to the sponsors for this episode:

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Check out the Granola Notes.

+HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Try for free at https://www.heygen.com/

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Mario Harik is the CEO of XPO, one of the largest trucking companies in the world, and leads a team of 40,000 people across a multi‑billion‑dollar operation.

He started as employee #3, trained under Brad Jacobs (who’s built eight multibillion‑dollar companies from scratch), and has spent the last two decades turning engineering discipline, frontline feedback, and a deep belief in human potential into a repeatable leadership system.

In this conversation, Mario breaks down how he makes decisions in real time using data and “second‑derivative” thinking, how he hires and develops A players (and the gut test that quietly tells you who isn’t one), how he runs meetings so the most junior person in the room often delivers the best idea, and why ego, complacency, and small goals are the silent cap on most leaders and most companies.

You’ll learn: how an engineer thinks about strategy and execution, what Mario learned from Brad Jacobs about thinking big and moving fast, the A/B/C player framework he uses to assess talent, how he turned the Yellow bankruptcy into a capital‑allocation win, and the three core levers—people, capital, and time—he believes drive every great business result.

Enjoy.

Timestamps:

(00:00:00) Why Ego and Complacency Quietly Cap Great Leaders

(00:00:19) How an Engineer’s Mind Changes the Way You Lead

(00:01:58) Using Engineering Frameworks to Run a Multi‑Billion‑Dollar Business

(00:03:38)  Letting Go of Perfection: How People Actually Operate

(00:05:14) Lessons from Brad Jacobs: Thinking Bigger

(00:07:13) Building Strong Teams and the Feedback Loops That Keep Them Going

(00:08:18) Evaluating Talent: Skill, Work Ethic, and the Collegiality Test

(00:10:51) Disagree, Then Commit: Making Better Decisions as a Team

(00:12:50) The Service‑First Strategy Behind XPO’s Customer Edge

(00:16:21) Running a Giant Business in Real Time with KPIs and Data

(00:19:41) Why the Best Ideas Come from Frontline Employees

(00:22:35) Using AI and Tech to Track Performance and Cut Errors 

(00:28:35) Coaching People with Data Instead of Opinions

(00:29:30) How to Run Effective Meetings

(00:32:36) Pre‑Meeting Prep: Getting the Most Out of Your Team

(00:34:29) Spotting and Developing Future Leaders Inside Your Company

(00:39:48) Mario’s Hiring Framework: How He Really Assesses Candidates

(00:47:30) Early Life Lessons That Still Shape How He Leads Today

(00:49:27) Thinking Analytically About Risk and Big Decisions 

(00:50:56) Inside the Yellow Bankruptcy Acquisition: A Case Study 

(00:55:31) Turning Strategy Into Execution Through Financial Tracking

(00:59:23) The A/B/C Player Framework for Evaluating Talent

(01:02:12) Creating a High‑Performance Culture Through Belief and Feedback

(01:04:18) How Mario’s Leadership Style (and Feedback) Has Evolved 

(01:07:33) People, Capital, and Time: The Three Levers of Value Creation

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Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠

Follow Mario Harik:

LinkedIn: https://www.linkedin.com/in/marioharik/

XPO: https://investors.xpo.com/board-member/mario-harik/

------

Thank you to the sponsors for this episode:

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Joe Liemandt quietly built one of the most successful software empires you’ve never heard of—then reappeared with a $1 billion bet that AI can make kids learn ten times faster and love school more than vacation.

At Alpha School, students spend just two hours a day on AI‑driven academics, consistently score in the top 1% on standardized tests, and use the rest of their time to build real‑world life skills: leadership, entrepreneurship, teamwork, and projects they actually care about. There are no lectures, no moving on without mastery, and a very different role for “teachers”—now called guides.

Liemandt is the principal of Alpha School and the founder of Trilogy Software and ESW Capital. He dropped out of Stanford to build Trilogy, made the cover of Forbes twice before turning thirty, became the youngest member of the Forbes 400, then vanished from public life for twenty‑five years while quietly becoming one of the most prolific acquirers of software businesses in the world.

Now he’s using everything he learned about systems, incentives, and scale to rebuild K–12 from first principles around mastery, motivation, and AI.

In this conversation, we cover Joe’s full arc, from sleeping on the floor at Trilogy and being mentored by Jack Welch to deciding that “kids must love school more than vacation” would be a non‑negotiable design principle for Alpha. He explains how the Timeback platform works under the hood, why he’s comfortable streaming student screens to AI in real time, and how he plans to scale this model to a billion kids.

You’ll learn: why he thinks the traditional classroom was designed for a narrow slice of students and wastes everyone else’s time, what changes when kids master a year of material in roughly 20–22 hours, how guides coach motivation instead of delivering lectures, and the simple rules he uses to make high‑stakes decisions about people, product, and strategy.

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Timestamps:

(00:00) What’s Broken in Today’s Education System

(07:01) What Makes Alpha School Different

(11:01) Real Results: 2 Hours of AI, Top 1% Scores

(16:55) Who Gets In

(23:20) The Everyday Classroom Problems Alpha Is Fixing

(26:40) Redefining Mastery: No Moving On Until You “Get It”

(35:37) Can You Actually Change a System This Big?

(39:19) Teaching Through AI

(44:27) Solving the Motivation Problem: Why Kids Love Alpha

(57:01) What Makes a Great Guide Instead of a Traditional Teacher

(01:01:04) Coaching Kids to Own Their Work (and Their Time)

(01:05:17) Teaching Life Skills: Leadership, Teams, and Real Projects

(01:08:18) “You Can Do Hard Things”: Building Grit in the Classroom

(01:13:25) Streaming Student Screens to AI: How Monitoring Works

(01:21:08) Effort vs. IQ: What Actually Predicts Success at Alpha

(01:23:36) Rethinking Physics for High Schoolers with AI

(01:24:40) After Alpha: What Happens to Graduates?

(01:37:08) Why You Should Invest in Yourself

(01:38:21) Lessons from Jack Welch: Mentorship and Management

(01:45:49) Why Trilogy Didn’t Go Public

(01:51:40) Physical vs Virtual School: What Kids Actually Need More

(02:03:18) Paying Kids to Learn: Incentives, Rewards, and Risks

(02:11:01) What Is Success For You?

------

Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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Follow Shane Parrish:

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Insta: https://www.instagram.com/farnamstreet/

LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠

Follow Joe Liemandt:

LinkedIn: https://www.linkedin.com/in/liemandt/

Tools to help your kids:

Math up to grade 7: https://www.synthesis.com/tutor

High School Physics: https://physicsgraph.com

Math Grade 8-12: https://www.mathacademy.com

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Thank you to the sponsors for this episode:

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Harrison McCain learned salesmanship by talking his way into a pharmaceutical job at 22, then spent five formative years under K.C. Irving, absorbing lessons in vertical integration, relentless deal-capture, and "management by suggestion."

He quit with no plan, two newborn kids, and no income. His brother Bob noticed that New Brunswick potato farmers were shipping raw potatoes to Maine for processing into frozen fries, then buying the finished product back. The McCains pooled $100,000 in family money, assembled capital from five different sources without giving up equity, and built a plant on a cow pasture in Florenceville.

The company's core strategy was to avoid competition entirely: enter markets where frozen fries didn't exist, prove the market by exporting first, hire locals, and only build a factory after the numbers justified it.

The U.S. was the one market that scared Harrison, and he patiently waited 16 years before a $500 million acquisition of Ore-Ida's foodservice division finally cracked it. Along the way, Harrison nearly destroyed his most important customer relationship with McDonald's by telling their buyer he didn't need to tour his plant, a mistake that took years to repair.

By the time he died in 2004, McCain Foods operated 57 factories across six continents, sold in 160 countries, and processed a million pounds of potato products every hour.

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Timestamps:

(00:00) Introduction

(01:03) The Offer

(04:35) Learning From the Best

(12:30) Time to Build

(19:45) Going Global

(27:57) The McDonald’s Mistake

(31:17) The Operating Principles

(33:24) Florenceville: I Like it Here

(36:10) Characteristics of an Entrepreneur

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Connor Teskey is the CEO of Brookfield Asset Management, one of the world’s largest investors, managing about a trillion dollars across infrastructure, power, real estate, private equity, and credit. 

In this exclusive interview, his first as CEO, we explore his approach to capital allocation, isolating variables, and building a business designed for long-term growth.

Discover why effective investing begins with minimizing losses, how waiting for perfect information can result in missed opportunities, the strategies Brookfield uses to manage market risk while maintaining upside potential, and the key insights he gained working alongside Bruce Flatt.

This discussion goes beyond investment strategies, offering a glimpse into Connor's perspective on decision-making in an uncertain environment, mentorship, culture, positioning, and talent.

It's a rare inside look at the operations of one of the world's most tight-lipped firms.

Enjoy! 

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Timestamps:

(00:00) Introduction

(00:05) State of the Union for Brookfield

(04:14) Nature of Investing

(07:24) The Rise to Brookfield

(12:06) Your Work Ethic is in Your Control

(17:30) Ad Break

(19:00) Data Center Deep Dive

(22:22) How Does a Deal Come to Be?

(29:34) Taking Bets Against Consensus

(32:00) What Happens Post Business Acquisition?

(40:44) Ad Break

(41:55) Lived Experience Through Crashes

(43:44) Where Does Talent Matter the Most at Brookfield?

(47:10) Identifying Talent

(58:18) Using AI to Increase Value Not Cut People

(01:01:58) When Was Brookfield the Underdog?

(01:03:38) Personal Ambition Over the Next 20 Years

(01:10:34) Behind The Scenes of Oaktree

(01:15:17) Work and Life Harmony

(01:17:54) Time Allocation

(01:19:58) The Most Fun Deal to Work On

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Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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Follow Connor Teskey:

LinkedIn: https://www.linkedin.com/in/connor-teskey-67931326b/?originalSubdomain=uk

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Thank you to the sponsors for this episode:

+Granola AI, The AI notepad for people in back-to-back meetings: https://www.granola.ai/shane

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* Note: ‍Shane and guests may hold positions in assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. Nothing in this conversation should be considered investment advice, financial guidance, or a recommendation to buy or sell any security. Always do your own due diligence or consult with a qualified financial advisor before making investment decisions. 

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Bill Marriott built the largest hotel company in the world. But he didn’t open his first hotel until he was 55 and he fought against it the whole way.

In fact, the man that would go on to build the world’s largest hotel chain started with a nine-seat root beer stand in Washington, DC and a simple goal: serve people well and build something that lasts.

In this episode of Outliers, we explore how Marriott turned that single stand into huge hotel empire without a master plan. In fact, before hotels, he even made a detour to start the airline catering industry.

We break down his obsession with downside risk, how he isolated variables like location, and why his refusal to rely on forces he couldn’t control allowed him to expand during the Great Depression while his competitors folded.

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Approximate Timestamps:

(00:00) Introduction

(03:58) Ice Cold Root Beer

(10:35) The Hot Shoppe Expansion

(12:07) Building the Machine

(20:07) The Airport Expansion

(24:20) The Marriott Lessons

(26:22) The Hotel Empire

(30:53) Handing Over the Presidency

(35:01) The End of an Era

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Newsletter: The Brain Food newsletter delivers actionable insights and thoughtful ideas every Sunday. It takes 5 minutes to read, and it’s completely free. Learn more and sign up at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠fs.blog/newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

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LinkedIn: ⁠https://www.linkedin.com/in/shane-parrish-050a2183/⁠

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