20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

20VC: AI Scaling Myths: More Compute is not the Answer | The Core Bottlenecks in AI Today: Data, Algorithms and Compute | The Future of Models: Open vs Closed, Small vs Large with Arvind Narayanan, Professor of Computer Science @ Princeton

Arvind Narayanan is a professor of Computer Science at Princeton and the director of the Center for Information Technology Policy. He is a co-author of the book AI Snake Oil and a big proponent of the AI scaling myths around the importance of just adding more compute. He is also the lead author of a textbook on the computer science of cryptocurrencies which has been used in over 150 courses around the world, and an accompanying Coursera course that has had over 700,000 learners.

In Today's Episode with Arvind Narayanan We Discuss:

1. Compute, Data, Algorithms: What is the Bottleneck:

  • Why does Arvind disagree with the commonly held notion that more compute will result in an equal and continuous level of model performance improvement?
  • Will we continue to see players move into the compute layer in the need to internalise the margin? What does that mean for Nvidia?
  • Why does Arvind not believe that data is the bottleneck? How does Arvind analyse the future of synthetic data? Where is it useful? Where is it not?

2. The Future of Models:

  • Does Arvind agree that this is the fastest commoditization of a technology he has seen?
  • How does Arvind analyse the future of the model landscape? Will we see a world of few very large models or a world of many unbundled and verticalised models?
  • Where does Arvind believe the most value will accrue in the model layer?
  • Is it possible for smaller companies or university research institutions to even play in the model space given the intense cash needed to fund model development?

3. Education, Healthcare and Misinformation: When AI Goes Wrong:

  • What are the single biggest dangers that AI poses to society today?
  • To what extent does Arvind believe misinformation through generative AI is going to be a massive problem in democracies and misinformation?
  • How does Arvind analyse AI impacting the future of education? What does he believe everyone gets wrong about AI and education?
  • Does Arvind agree that AI will be able to put a doctor in everyone's pocket? Where does he believe this theory is weak and falls down?

Jaksot(1354)

20Sales: $0-$3.7BN: The Databricks CRO’s Playbook to Build the Fastest GTM Engine in SaaS History | How Databricks Beat Snowflake | How To Build a Sales Org of 5,000 and Close $190M Deals with Ron Gabrisko

20Sales: $0-$3.7BN: The Databricks CRO’s Playbook to Build the Fastest GTM Engine in SaaS History | How Databricks Beat Snowflake | How To Build a Sales Org of 5,000 and Close $190M Deals with Ron Gabrisko

Ron Gabrisko is the Chief Revenue Officer at Databricks, where he joined in 2016. Under his leadership, Databricks has scaled from $0 to $3.7BN annualized revenue. He has grown the sales team from 0 to over 1,000 globally, leading expansion into enterprise, government, and international markets. Ron previously held senior sales roles at Cloudera and IBM, bringing deep experience in data and AI infrastructure. His tenure at Databricks has been defined by hypergrowth, multi-product adoption, and world-class GTM execution. Agenda for Today: 00:04 – The Databricks Origin Story: Ali, Ben Horowitz & 7 PhDs 00:08 – Ali vs JPMorgan: Turning Down $10M to Stay Cloud-First 00:13 – Prospecting Day: How Ron Scaled the GTM Culture 00:16 – Why Databricks’ Pricing Model Was Its Secret Weapon 00:19 – Enterprise vs SMB: The Risky Bet That Paid Off 00:23 – From $2M to $13M ARR: How Ron Built the First Sales Engine 00:29 – Can AI Replace Salespeople? Ron’s Brutally Honest Take 00:36 – How to Get Your First Million-Dollar Rep (and Keep Them) 00:42 – The Culture Secret Behind Scaling to 5,000 Sales Reps 00:45 – Why Databricks Waited Until $500M ARR to Go International 00:52 – What Makes a Great Sales Meeting? Ron’s Gold Standard 00:58 – The Snowflake Wars: Why Ron Says Databricks Is 5 Years Ahead

4 Elo 1h 15min

20VC: Inside Carnegie Mellon's $4BN Endowment | Why 90% of LPs Shouldn't Invest in VC | The $140BN Problem with Multi-Stage Funds | The Hidden Math Behind DPI, TVPI, and Illiquidity with Miles Dieffenbach

20VC: Inside Carnegie Mellon's $4BN Endowment | Why 90% of LPs Shouldn't Invest in VC | The $140BN Problem with Multi-Stage Funds | The Hidden Math Behind DPI, TVPI, and Illiquidity with Miles Dieffenbach

Miles Dieffenbach is Managing Director of Investments at Carnegie Mellon University, where he helps oversee a $4 billion endowment with a focus on venture capital, private equity, and alternative investments. Under his leadership, CMU’s private book has remained self-funding during some of the toughest years for liquidity.  Agenda for Today: 00:04 – "I Had Cancer at 26 – It Changed Everything" 07:00 – Inside the $4BN Carnegie Mellon Endowment: The Investment Blueprint 10:45 – Are LPs Getting Screwed in Venture? 13:30 – 90% of LPs Shouldn’t Be in Venture – Here’s Why 16:00 – Seed Funds Are a Trap (And No One Wants to Admit It) 20:00 – The $140BN Problem with Multi-Stage Funds 24:00 – "Index Is the Best in the Game – Here's Why They Win" 29:30 – "The Dirty Secret of LPs: Brand Over Performance" 34:30 – "When Founder-Friendly Goes Too Far" 38:00 – "The OpenAI Bubble – Will It All Go to Zero?" 44:00 – "Ping Pong Diligence & Wildest Fundraising Stories"

4 Elo 1h 27min

20VC: Benchmark Loses Another Partner | Elad Gil Raises a Monster $1.5BN Solo GP Fund | Why Apple Need a Management Overhaul | Why Google is the Best Performing Hyperscaler | Will Cursor Hit $4BN ARR & Lovable $400M ARR by EOY 2026?

20VC: Benchmark Loses Another Partner | Elad Gil Raises a Monster $1.5BN Solo GP Fund | Why Apple Need a Management Overhaul | Why Google is the Best Performing Hyperscaler | Will Cursor Hit $4BN ARR & Lovable $400M ARR by EOY 2026?

Agenda: 00:00 - Why Benchmark Is Bleeding Partners (and Why That’s the New Normal) 04:57 - “I Wouldn’t Leave Benchmark… Unless I Had THIS” — Jason on Brand vs Autonomy 09:01 - The Rise of the Solo GP & The Death of LP Conventional Wisdom 13:50 - The Unstoppable Force of Elad Gil & The Myth of LP Discipline 18:45 - Is Vibe Coding the New SaaS? Jason’s $10K/Month Spend Reveal 26:57 - Cursor’s Growth Is Insane—But Is It Sustainable? 31:44 - Will Microsoft, Google, or Amazon Win the AI Infra War? 37:42 - Is GitHub Copilot the Biggest Miss in Microsoft’s History? 44:15 - Are Big Tech Incumbents Now Too Powerful to Fail? 48:00 - Apple’s AI Problem: Is It Time for a Management Overhaul? 52:30 - Figma’s IPO: $30B Return, Zero Hype. What Happened? 1:06:00 - Final Bets: Cursor to $4B ARR, Lovable to $400M ARR, OpenAI to $800BN?

31 Heinä 1h 21min

20VC: a16z's Martin Casado on Anthropic vs OpenAI: Where Value Accrues | Cursor vs Replit vs Lovable: Who Wins and Who Loses | The One Sin in AI Investing | Why Open Source is a National Security Risk with China

20VC: a16z's Martin Casado on Anthropic vs OpenAI: Where Value Accrues | Cursor vs Replit vs Lovable: Who Wins and Who Loses | The One Sin in AI Investing | Why Open Source is a National Security Risk with China

Martin Casado is a General Partner @ a16z where he leads the firms $1.25BN infrastructure fund. At a16z, Martin has led investments in companies like Cursor, dbt Labs, and Fivetran to name a few. Before joining a16z, he co-founded Nicira, acquired by VMware for $1.26B. At VMware, he served as CTO of Networking. Widely regarded as a visionary in enterprise infrastructure, Martin has helped shape the modern cloud computing stack. Agenda: 00:00 – Analysis of Current AI Investment Landscape 04:45 – Will Anthropic Kill the AI App Layer? 09:20 – “The Oligopoly Is Coming—Just Like Cloud” 12:50 – Are AI Models Actually Terrible Venture Investments? 15:40 – Why it is BS to Put Down AI Apps for Having Temporary Revenue 21:30 – “Open Source Is a National Security Weapon—And We're Losing” 26:40 – “Have the Foundation Models of the Future All Been Founded Already” 34:30 – Why it is BS to Denigrate AI Apps for Having Low Margins 38:40 – Does AI Make 1x Engineers 10x or 10x Becomes 100x 44:10 – “We’re All Dead Wrong About AI and Job Loss” 50:30 – “The Only Sin in Venture: Backing the Wrong Winner” 55:10 – What People Think They Know About Wealth But Do Not

28 Heinä 1h 10min

20Product: Should We Kill the PM Role Entirely | How Does Product Design Change Most in a World of AI | How Do Monzo Build Product Today: What Works, What Does Not | Why Most Product Sucks and What Makes Truly Great Product

20Product: Should We Kill the PM Role Entirely | How Does Product Design Change Most in a World of AI | How Do Monzo Build Product Today: What Works, What Does Not | Why Most Product Sucks and What Makes Truly Great Product

Fernando Fanton is one of the most respected product leaders in Europe, having held Chief Product Officer roles at Monzo and Just Eat. He previously led product and tech at Rappi, one of Latin America's most valuable startups. Today, Fernando is the CPO @ Property Finder; one of the biggest breakout unicorns from MENA.  Agenda: 00:00 – Is “having a vision” actually killing great product teams? 03:15 – Why do most products suck—and what separates the great ones? 07:20 – Should we kill the PM role entirely? Fernando says maybe. 11:45 – Is Monzo’s obsession with trust more powerful than speed? 16:10 – What’s the #1 reason internal tools will never replace SaaS? 21:00 – Will AI wipe out the need for designers and PMs? 26:30 – Is it arrogant for product teams to protect users from “bad” choices? 32:15 – What’s the future of product when OpenAI controls the whole stack? 37:40 – What Monzo product blew up—and why no one saw it coming? 42:55 – Can a bank built on principles really become a $100B company?

27 Heinä 1h 7min

20VC: Lovable Raises at $2BN & Hits $100M ARR | Is Cursor Worth $28BN at $1BN in ARR | How Do All Providers Deal with Anthropic Dependency Risk | Are Seed Funds F******: Have Mega Funds Won | Figma IPO Breakdown: Where Does it Price?

20VC: Lovable Raises at $2BN & Hits $100M ARR | Is Cursor Worth $28BN at $1BN in ARR | How Do All Providers Deal with Anthropic Dependency Risk | Are Seed Funds F******: Have Mega Funds Won | Figma IPO Breakdown: Where Does it Price?

Agenda: 00:00 – Did Jason Just Kill Replit?  03:45 – Why Claude Lies To You and Cannot Be Trusted 06:50 – You Cannot Trust Agents. Period. 10:20 – Why Windsurf Was Dead Without Claude 12:30 – Cursor vs. Lovable: What’s the Better Bet? 14:40 – Should You Still Invest in Cursor at $28B? 18:05 – Would You Bet on Anthropic at $100B or OpenAI at $300B? 24:15 – Inside OpenAI’s Secret Weapon: The Calvin French-Owen Memo 27:50 – Perplexity Just Crushed ChatGPT and Claude 32:15 – Will Cursor Build Their Own Models Before Anthropic Cuts Them Off? 33:20 – Figma’s IPO at $16B: Outrageous or Fair Game? 41:55 – 90% of Seed Funds Are Cooked—Is Rob Go Right? 52:15 – How Often Do You Meet a Founder Who Can Return the Fund? 1:08:00 – Which Seed Fund Would You Back Today?

24 Heinä 1h 21min

20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech |

20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech |

Edwin Chen is the Founder and CEO of Surge. Founded in 2020, Surge has scaled to $1BN+ in revenue with zero external funding. At the same time, their competitor, Scale.ai raised over $1.3BN to reach $850M ARR. Today, Surge have the world’s largest model providers as customers and have just 120 employees.  Agenda: 00:00 — “Everyone Else Is Just a Body Shop” — Edwin Calls Out the Whole Industry 01:05 — Why 90% of Big Tech Is Wasting Time on Useless Problems 03:45 — “I Don’t Do 1-on-1s” — How Surge Kills Meetings and Still Moves 10x Faster 05:55 — Will a Single Person Build a $1B Company?  08:10 — 100x Engineers Are Real — Here’s How to Spot Them 12:10 — Why Most PhDs Are Useless in AI Training 14:20 — Built to a Billion With Zero VC — Edwin Explains How and Why 17:00 — “No Sales Team, No PR, No BS” — Why Surge Stays in the Shadows 21:15 — The Real Reason AGI Might Take Until 2040 24:45 — Will Synthetic Data Kill Human Labelling?  29:00 — “Academic Benchmarks Are a Scam”  31:05 — Why the Real Bottleneck in AI Isn’t Compute or Models — It’s THIS 33:00 — What Every AI Company Should Be Asking (But Isn’t) 35:15 — “No, I Wouldn’t Sell Surge for $100B”  39:00 — Is the Application Layer Doomed? Edwin Predicts the Future of AI Startups 46:30 — Have the Leading Foundation Models Already Been Founded?  48:10 — AGI Could Be Dangerous — And Most People Are Ignoring Why 20VC: Scaling to $1BN+ in Revenue with No Funding: Surge AI | The Most Insane Scaling Story in Tech |

21 Heinä 1h 6min

20VC: Cognition CEO Scott Wu on Acquiring Windsurf: The Process, The Deal, The Rationale | Did Google Overlook a Goldmine in the Core Asset and Did Founders Leave a Sinking Ship | How Cursor and Cognition Deal with Ever Increasing Reliance on Anthropic

20VC: Cognition CEO Scott Wu on Acquiring Windsurf: The Process, The Deal, The Rationale | Did Google Overlook a Goldmine in the Core Asset and Did Founders Leave a Sinking Ship | How Cursor and Cognition Deal with Ever Increasing Reliance on Anthropic

Scott Wu is the co-founder and CEO of Cognition, the company behind Devin, the world’s first AI software engineer. On Friday last week they pulled off the acquisition of the year, acquiring Windsurf, following their licensing agreement with Google. Previously a world-class competitive programmer, he was a gold medalist at the International Olympiad in Informatics and a member of the U.S. Math and Physics Olympiad teams. Before Cognition, he was a founding engineer at Scale AI, helping shape the early AI infrastructure stack. AGENDA: 00:00 – Why are founders walking away instead of going down with the ship? 01:05 – How did Cognition pull off the $220M Windsurf deal in just 72 hours? 04:45 – What really happened behind closed doors the weekend Windsurf was acquired? 07:15 – Did Google overlook a goldmine in the Windsurf team and IP? 09:00 – Who are the 100 people that secretly shape the future of AI? 12:30 – Can application startups ever gain leverage over foundation model giants like Anthropic? 14:15 – Is coding about to be replaced by simply describing what you want? 17:30 – 50% of new code is AI-written. Where does that go next? 20:45 – “We’ve gone from 0 to $80M ARR in 6 months. Quietly.” 25:00 – Are IDEs and agents just the training wheels for the real future of software engineering? 28:20 – If you could only back one—OpenAI or Anthropic—who’s the better bet? 30:00 – Why has Cognition kept its insane growth a secret… until now?

18 Heinä 48min

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