PODCAST · Lenny's Podcast

2025 年 12 月节目

6 期 · 6 期带分节

  • 12-2810 contrarian leadership truths every leader needs to hear | Matt MacInnis (Rippling)
    1. 00:00Introduction to Matt MacInnis and Rippling
    2. 04:38The importance of extraordinary efforts
    3. 08:37The challenges and rewards of relentless effort
    4. 10:11Your job as a leader is to preserve intensity
    5. 12:39You learn far more from success than failure
    6. 16:34Transitioning to chief product officer
    7. 19:54Fixing product management at Rippling
    8. 25:27The “high alpha, low beta” framework
    9. 28:55The PQL framework
    10. 35:16Hiring frameworks and team dynamics
    11. 36:52A helpful interview tactic
    12. 40:00Leading as a COO vs. a CPO
    13. 42:34The reality of product-market fit
    14. 46:38The problem with venture capital
    15. 49:29When founders should quit their startups
    16. 41:48The immutable market
    17. 54:13Lessons from Notion’s success
    18. 57:43Investment strategies and narrative violations
    19. 01:00:42The power of compounding, power law, and entropy
    20. 01:07:02Maintaining intensity and fighting entropy
    21. 01:11:33The importance of feedback and escalations
    22. 01:14:31Rippling’s vision and success
    23. 01:17:48AI’s impact on SaaS and business software
    24. 01:23:42AI corner
    25. 01:26:23Final thoughts and lightning round
  • 12-21The coming AI security crisis (and what to do about it) | Sander Schulhoff
    1. 00:00Introduction to Sander Schulhoff and AI security
    2. 05:14Understanding AI vulnerabilities
    3. 11:42Real-world examples of AI security breaches
    4. 17:55The impact of intelligent agents
    5. 19:44The rise of AI security solutions
    6. 21:09Red teaming and guardrails
    7. 23:44Adversarial robustness
    8. 27:52Why guardrails fail
    9. 38:22The lack of resources addressing this problem
    10. 44:44Practical advice for addressing AI security
    11. 55:49Why you shouldn’t spend your time on guardrails
    12. 59:06Prompt injection and agentic systems
    13. 01:09:15Education and awareness in AI security
    14. 01:11:47Challenges and future directions in AI security
    15. 01:17:52Companies that are doing this well
    16. 01:21:57Final thoughts and recommendations
  • 12-18The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth)
    1. 00:00Introduction to Elena Verna
    2. 05:19The scale and growth of Lovable
    3. 08:55Confidence in Lovable as a business
    4. 12:17Retention at Lovable
    5. 15:02Lovable’s unique growth levers
    6. 28:13The role of marketing in Lovable’s success
    7. 38:09Launching new features
    8. 40:59Hiring and team dynamics
    9. 43:17The value of vibe coding
    10. 49:46The importance of community
    11. 51:47Giving away your product for free
    12. 56:26Tripling their company size
    13. 01:00:23Product-market-fit challenges
    14. 01:08:50Advice for joining AI companies
    15. 01:12:00Work-life balance
    16. 01:15:20What it’s like to work at Lovable
    17. 01:19:45Women in tech
    18. 01:25:29Final thoughts and lightning round
  • 12-14Why humans are AI’s biggest bottleneck (and what’s coming in 2026) | Alexander Embiricos (OpenAI Codex Product Lead)
    1. 00:00Introduction to Alexander Embiricos
    2. 05:13The speed and ambition at OpenAI
    3. 11:34Codex: OpenAI’s coding agent
    4. 15:43Codex’s explosive growth
    5. 24:59The future of AI and coding agents
    6. 33:11The impact of AI on engineering
    7. 44:08How Codex has impacted the way PMs operate
    8. 45:40Throwaway code and ubiquitous coding
    9. 47:10Shipping the Sora Android app
    10. 49:01Building the Atlas browser
    11. 53:34Codex’s impact on productivity
    12. 55:35Measuring progress on Codex
    13. 58:09Why they are building a web browser
    14. 01:01:58Non-engineering use cases for Codex
    15. 01:02:53Codex’s capabilities
    16. 01:04:49Tips for getting started with Codex
    17. 01:05:37Skills to lean into in the AI age
    18. 01:10:36How far are we from a human version of AI?
    19. 01:13:31Hiring and team growth at Codex
    20. 01:15:47Lightning round and final thoughts
  • 12-07The 100-person AI lab that became Anthropic and Google's secret weapon | Edwin Chen (Surge AI)
    1. 00:00Introduction to Edwin Chen
    2. 04:48AI’s role in business efficiency
    3. 07:08Building a contrarian company
    4. 08:55An explanation of what Surge AI does
    5. 09:36The importance of high-quality data
    6. 13:31How Claude Code has stayed ahead
    7. 17:37Edwin’s skepticism toward benchmarks
    8. 21:54AGI timelines and industry trends
    9. 28:33The Silicon Valley machine
    10. 33:07Reinforcement learning and future AI training
    11. 39:37Understanding model trajectories
    12. 41:11How models have advanced and will continue to advance
    13. 42:55Adapting to industry needs
    14. 44:39Surge’s research approach
    15. 48:07Predictions for the next few years in AI
    16. 50:43What’s underhyped and overhyped in AI
    17. 52:55The story of founding Surge AI
    18. 01:02:18Lightning round and final thoughts
  • 12-04Why LinkedIn is turning PMs into AI-powered "full stack builders” | Tomer Cohen (LinkedIn CPO)
    1. 00:00Introduction to Tomer Cohen
    2. 04:42The need for change in product development
    3. 11:52The full-stack builder model explained
    4. 16:03Implementing AI and automation in product development
    5. 19:17Building and customizing AI tools
    6. 27:51The timeline to launch
    7. 31:46Pilot program and early results
    8. 37:04Feedback from top talent
    9. 39:48Change management and adoption
    10. 46:53Encouraging people to play with AI tools
    11. 41:21Performance reviews and full-stack builders
    12. 48:00Challenges and specialization
    13. 50:05Finding talent
    14. 52:46Tips for implementing in your own company
    15. 56:43Lightning round and final thoughts