20VC: OpenAI's Sam Altman and Brad Lightcap on The Future of Foundation Models: Will They Be Commoditised | How to Solve the Problem of Compute | Open vs Closed: Which Dominates and Why | Which Companies and Verticals Will Be Steamrolled by OpenAI

20VC: OpenAI's Sam Altman and Brad Lightcap on The Future of Foundation Models: Will They Be Commoditised | How to Solve the Problem of Compute | Open vs Closed: Which Dominates and Why | Which Companies and Verticals Will Be Steamrolled by OpenAI

Sam Altman is the CEO @ OpenAI, the company on a mission is to ensure that artificial general intelligence benefits all of humanity. OpenAI is one of the fastest-scaling companies in history with a valuation of $90BN and $2BN+ in revenue. Prior to OpenAI, Sam was the President and CEO @ Y Combinator and made angel investments in the likes of Airbnb, Stripe, Reddit, Pinterest, Asana and more.

Brad Lightcap is the COO @ OpenAI and the man responsible for the incredible scaling of sales, GTM, partnerships and business to today being over $2BN in revenue. Before OpenAI, Brad was an investor at Y Combinator, where he met Sam and before that led finance and operations initiatives at Dropbox.

In Today's Episode with Sam Altman and Brad Lightcap We Discuss:

1. The Partnership: The Most Powerful Double Act in Tech:

  • How did 25 people rejecting OpenAI's CFO positions 6 years ago, lead to Brad joining OpenAI before Sam even did? What did he see that the world did not?
  • What does Brad think is Sam's biggest superpower that the world does not know? What does Sam think it Brad's biggest superpower that the world does not now?
  • How do decisions get made between Brad and Sam? How do they decide what to delegate vs what not to? What is the most recent disagreement they had? How did they resolve it?

2. The Next 12 Months for OpenAI: Bottlenecks, Compute and Commoditisation:

  • What are the core bottlenecks facing OpenAI in the next 12 months?
  • How does Sam believe we solve the fundamental problem of compute?
  • What is the single biggest barrier to the quality of models improving?
  • What is the end state for the model landscape? Will models become commoditised?

3. OpenAI: The Fastest Scaling Company in History:

  • What has been the secret to how OpenAI has scaled to $2BN in revenue in 24 months?
  • Why does Sam believe that he is "not a great operator"? What drives this thinking?
  • What have been the first things to break in the scaling of OpenAI?
  • What do Brad and Sam know now about the scaling that they wish they had known at the start?
  • Why does OpenAI lean towards hiring more experienced people in the team?

4. How to Invest and Operate in a World of OpenAI:

  • What single question can founders ask that will reveal if they will be steamrolled by OpenAI?
  • Does Sam believe huge numbers of companies will be steamrolled by OpenAI?
  • For investors, is there money to be made investing in the application layer of AI today?
  • What question should all businesses be asking about how to adopt and use AI in their business?

5. Sam Altman: AMA:

  • What have been the single biggest lessons Sam has learned from the founders he has invested in?
  • Which founders has he learned the most from? What did he learn from each?
  • What is Sam most concerned about in the world today? Why what?
  • What unexpected traits or characteristics does Sam most look for in the founders he invests in?
  • Why does Sam say that he is not happy but he is grateful?

Avsnitt(1400)

20VC: Atlassian CEO on Why Everything is Overvalued & Are We in an AI Bubble | Do Margins Matter & Does Defensibility Exist in an AI World | Is Per Seat Pricing Dead & The Future of Vibe Coding with Mike Cannon-Brookes

20VC: Atlassian CEO on Why Everything is Overvalued & Are We in an AI Bubble | Do Margins Matter & Does Defensibility Exist in an AI World | Is Per Seat Pricing Dead & The Future of Vibe Coding with Mike Cannon-Brookes

Mike Cannon-Brookes is the Co-Founder and Co-CEO of Atlassian, the $50BN software giant behind products like Jira, Confluence, and Trello. Since founding the company in 2002, he has scaled it to over 300,000 customers globally, generating more than $5BN in annual revenue. Atlassian now employs over 10,000 people across 13 countries and is one of the most successful bootstrapped-to-IPO stories in tech history. Mike is also a leading climate investor and co-owner of several major sports teams. AGENDA: 00:00 Why Unreasonable Men Win in Startups 07:22 How to Make Co-CEOs Work 13:22 Are We in an AI Bubble? Is Everything Overvalued? 26:46 The Future of Software Development: More or Less Devs 32:53 Do Margins Matter in a World of AI 34:02 The Future of Vibe Coding… 36:35 Does Defensibility Exist in a World of AI 42:09 Is Per Seat Pricing Dead in a World of AI 49:01 The Founder Journey and Leadership 54:28 Quick Fire Round: Parenting Advice, Relationship to Money

13 Okt 20251h 3min

20Sales: Scaling Snowflake from $0-$3BN in ARR | Snowflake vs Databricks: My Biggest Lessons | Why Customer Success is BS and What Replaces It with Chris Chris Degnan

20Sales: Scaling Snowflake from $0-$3BN in ARR | Snowflake vs Databricks: My Biggest Lessons | Why Customer Success is BS and What Replaces It with Chris Chris Degnan

Chris Degnan is the former Chief Revenue Officer at Snowflake, where he was instrumental in scaling the company from less than $1M in ARR to over $3B in annual revenue. He joined as the first sales hires and built Snowflake's go-to-market engine from scratch, growing the team from to more than 6,000 globally. Under his leadership, Snowflake became one of the fastest-growing enterprise software companies in history, achieving a record-breaking IPO in 2020. AGENDA: 04:34 How to Build a Sales Team from Scratch 07:49 How to Hire and Evaluate Sales Leaders 15:23 Four Big Lessons Scaling Snowflake to $3BN ARR 31:30 Comparing Snowflake and Databricks: What Databricks Did Better? 35:26 How to Manage Sales Team Morale in Competitive Markets 43:53 Why Customer Success is BS and What To Do With It 48:31 How Every Sales Leader Needs to Change in An AI World 49:37 Biggest Reflections on Sales Leadership 54:38 Quick Fire Questions and Final Thoughts 20Sales: Scaling Snowflake from $0-$3BN in ARR | Snowflake vs Databricks: My Biggest Lessons | Why Customer Success is BS and What Replaces It with Chris Chris Degnan

10 Okt 20251h 2min

20VC: OpenAI's Multi $BN Deal with AMD | Polymarket, Vercel and Supabase Raise Mega Rounds | Does King Making Really Work in Venture Capital: Harvey vs Legora | Chamath is Back: The SPAC is Back

20VC: OpenAI's Multi $BN Deal with AMD | Polymarket, Vercel and Supabase Raise Mega Rounds | Does King Making Really Work in Venture Capital: Harvey vs Legora | Chamath is Back: The SPAC is Back

AGENDA: 03:29 OpenAI and AMD's Major Partnership 07:35 Microsoft Have F***** Up the OpenAI Partnership 17:08 OpenAI's Developer Day Announcements 20:45 Why VC is the Most Forgiving Asset Class on Price and Valuation 29:10 What Does it Take to IPO in 2025: Why Snyk Will Not IPO 42:30 Four Strategies Companies Need to Take to Own Their Own Destiny 49:31 Vercel Raises $300M at $9BN: Suicide Round or Strategic 55:39 Does King Making Really Work in Venture Capital: Legora vs Harvey 01:08:11 Chamath Raises Latest SPAC: SPACs are Back 01:10:56 Polymarket Raises $2BN at a $9BN Valuation 01:14:53 Quick Fire Questions and Wrap-Up

9 Okt 20251h 24min

20VC: Cerebras CEO on Why Raise $1BN and Delay the IPO | NVIDIA Showing Signs They Are Worried About Growth | Concentration of Value in Mag7: Will the AI Train Come to a Halt | Can the US Supply the Energy for AI with Andrew Feldman

20VC: Cerebras CEO on Why Raise $1BN and Delay the IPO | NVIDIA Showing Signs They Are Worried About Growth | Concentration of Value in Mag7: Will the AI Train Come to a Halt | Can the US Supply the Energy for AI with Andrew Feldman

Andrew Feldman is Co-Founder & CEO of Cerebras, building the world's fastest AI inference and training. Cerebras recently closed a $1.1BN Series G round at an $8.1 billion valuation, backed by top names including Fidelity, Atreides, Tiger Global, Valor Equity and 1789 Capital. Under his leadership, they've leapfrogged GPU limits in inference, operate at trillions of tokens per month, and are filing to go public soon. AGENDA: 02:43 Why We Did Not IPO and Raised $1BN From Fidelity 05:03 Analysis of Chip and Compute Landscape Today 07:14 NVIDIA Showing Signs They Are Running Out of Ideas 13:57 The Real Questions to Ask on Chip Depreciation 24:54 Energy Requirements for AI: Is it Feasible? 29:25 Mag7 Value Concentration: Feature or a Bug 31:57 Talent is the Bottleneck and Trump Makes it Worse 32:55 The War for Talent: Secrets No One Sees 34:22 Evaluating the Data Centre Economy: Many Will Lose Money 38:01 Three Changes the US Could Make to Beat China in AI 42:30 Why 80% of our Revenues are in the UAE 47:26 Quick Fire Questions 58:59 Why Work Life Balance is Total BS

6 Okt 20251h 4min

20Growth: How to Use Influencers to Scale Growth Insanely Fast | How to Optimise User Onboaring for Growth | How the Best Growth Teams Create Organic Growth and Community | Why LTV/CAC Models are BS with Ketty Slonimsky

20Growth: How to Use Influencers to Scale Growth Insanely Fast | How to Optimise User Onboaring for Growth | How the Best Growth Teams Create Organic Growth and Community | Why LTV/CAC Models are BS with Ketty Slonimsky

Ketty Slonimsky is Chief Growth Officer at Palta, the platform behind apps like Flo (the #1 female health app with 77M+ MAU), Simple, and Zing AI, where she leads a centralized growth function across the portfolio. She was previously first VP Product & Growth at HeliosX (£900M+ ARR, bootstrapped D2C healthtech), has advised companies like SonderMind, Runna, Guardio, Cheddar, P&G Digital Ventures, and is a board advisor at HeliosX. AGENDA: 02:33 What is Growth and When to Hire For It 06:04 Three Profiles of Successful Growth Leaders 10:07 Challenges and Learnings from Failed Ventures 21:17 How to Optimise User Onboarding for Growth 26:14 Biggest Lessons on Retention 30:25 How to Artificially Create Organic Growth and Community Building 32:10 Why LTV Models are BS 37:35 How to Use Influencers to Grow Insanely Fast 47:07 The Metrics that Matter in Growth 49:48 Push Notifications and Engagement: What To Do vs What Not to Do? 51:57 Quick Fire Round

3 Okt 20251h

20VC: Are Burn Multiples BS in an AI World | Sam Altman Needs $1TRN of Energy | Klarna, Figma, Stubhub, all Down: Are Public Markets Turning? | FiveTran and DBT: Is the Wave of Consolidation About to Begin?

20VC: Are Burn Multiples BS in an AI World | Sam Altman Needs $1TRN of Energy | Klarna, Figma, Stubhub, all Down: Are Public Markets Turning? | FiveTran and DBT: Is the Wave of Consolidation About to Begin?

AGENDA: 03:58 Understanding Burn Multiples and Capital Efficiency in an AI World 11:54 What Metrics Founders Need to Focus on in a World of AI 19:31 The Role of Kingmakers in Venture Capital: Harvey, Abridge, Profound 33:42 Klarna, Figma, Stubhub, all Down: Are Public Markets Turning? 36:35 OpenAI Needs the Same Energy as Japan… WTF! 41:09 How Can We Fund the $1TRN Sam Altman Needs for Energy 52:39 FiveTran and DBT: Is the Wave of Consolidation About to Begin? 59:44 Does Private Equity Need to Change in a World of AI 01:06:23 Political Expression and Corporate Responsibility

2 Okt 20251h 16min

20VC: OpenAI and Anthropic Will Build Their Own Chips | NVIDIA Will Be Worth $10TRN | How to Solve the Energy Required for AI... Nuclear | Why China is Behind the US in the Race for AGI with Jonathan Ross, Groq Founder

20VC: OpenAI and Anthropic Will Build Their Own Chips | NVIDIA Will Be Worth $10TRN | How to Solve the Energy Required for AI... Nuclear | Why China is Behind the US in the Race for AGI with Jonathan Ross, Groq Founder

Jonathan Ross is the Founder & CEO of Groq, the AI chip company redefining inference at scale. Under his leadership, Groq has raised over $3B from top investors. The company has reached a valuation of nearly $7B, positioning itself as one of NVIDIA's most formidable challengers. Previously at Google, Jonathan led the team that built the first Tensor Processing Unit (TPU), making him one of the leading architects of modern AI hardware. AGENDA: 00:00 The Future of AI and Compute 05:07 Why the Hyperscalers Have to Keep Spending Recklessly on AI 12:49 Why OpenAI and Anthropic Will Have to Build Their Own Chips 19:47 OpenAI and Anthropic Will be $5BN Companies: The Bull Case 29:50 Why China is Behind the US in AI and Deepseek is More Expensive to Run 33:55 How Europe Could Compete in AI and Why the US is More Risk Averse Than Europe 42:51 Why AI Will Lead to Too Many Not Too Few Jobs 43:19 Deflationary Pressures and New Job Markets 45:51 The Future of Vibe Coding 47:14 Why AI Companies Should Strive to Have Low Margins 49:31 Why We Have to Have Nuclear Energy and How to Bring it Back 56:55 How Permits are Ruining the Potential of AI 01:03:58 Why OpenAI and Anthropic are so Undervalued 01:16:53 Quickfire: Biggest Fear, Nvidia: $10TRN, Zuck Buying AI: Work or Not

29 Sep 20251h 21min

20Product: Revolut Business $1BN Revenue: Five of the Biggest Product Lessons | How Revolut Structures Product and Design Teams | How Revolut Experiments and Invests in New Product Bets | How Revolut Ships Product So Fast with James Gibson

20Product: Revolut Business $1BN Revenue: Five of the Biggest Product Lessons | How Revolut Structures Product and Design Teams | How Revolut Experiments and Invests in New Product Bets | How Revolut Ships Product So Fast with James Gibson

James Gibson is Head of Revolut Business. Under his leadership, Revolut Business now processes over $33 billion in monthly transaction volume and generates more than $1BN in annualised revenue. AGENDA: 04:10 Is Consulting the Worst Background for Aspiring PMs 07:09 How Revolut Hires for it's Product Team 17:21 How Revolut Sets Goals: What Works, What Does Not 19:37 How Revolut Structures Their Product Teams 22:13 How Revolut Structures Product Review Sessions 27:23 New Bets Process at Revolut 29:11 How Revolut Balances Super Users and General Customers 36:55 How Revolut Drives Product Velocity and Efficiency 39:26 Future of Product with AI 44:56 Quick Fire Questions and Reflections

26 Sep 202554min

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