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1:07:35ENWhy AI Will Never Be Perfect: Lex Fridman's Case for Keeping Humans in the LoopPresenta: Lex FridmanIn MIT 6.S093's opening lecture, Lex Fridman lays out five research areas of human-centered AI, from machine teaching to arguing machines that flag their own uncertainty.
1:38:21ENThe Physics of Viral Consumer Apps: Nikita Bier on Latent Demand, Teen Networks, and Fighting a HoaxPresenta: Lenny RachitskyNikita Bier traces his path from Politify to tbh and Gas, extracting repeatable tactics for consumer app growth, product design, and surviving breakout chaos.
1:30:52ENBuilding Minds from Unified Theories: Nate Derbinsky on Cognitive Architectures, Soar, and the Case for ForgettingInvitado: MIT AGI · Presenta: Lex FridmanA guest lecture in MIT's AGI course on how cognitive architectures try to assemble human-level intelligence, and how studying human memory made the Soar architecture faster and better.
1:07:36ENHow Notion Built a Community That Sold Its Product for ItInvitado: Camille Ricketts · Presenta: Lenny RachitskyCamille Ricketts, Notion's first marketing hire, explains how community-led growth and content marketing actually work in practice.
11:41ENTeaching Machines Humility: Stuart Russell on Escaping the King Midas ProblemInvitado: Stuart Russell · Presenta: Lex FridmanIn a short clip from a 2018 conversation, Berkeley's Stuart Russell explains why fixed objectives make superintelligent AI dangerous and why uncertainty about our goals is the fix.
1:11:08ENFear Gives Bad Advice: An Executive Coach's Playbook for Firing, Layoffs and FocusInvitado: Matt Mochary · Presenta: Lenny RachitskyExecutive coach Matt Mochary tells Lenny Rachitsky how he helps CEOs act through fear, let people go humanely, run layoffs, innovate inside big companies and audit their energy.
1:50:25ENFrom Email Client to AI Agent: How Shortwave Rebuilt Itself for the Tidal WavePresenta: Nathan LabenzShortwave CEO Andrew Lee explains the agent architecture, caching economics and tiny-team culture behind the company's hockey-stick growth.
1:05:00ENFrom Arctic Code Vault to Autocomplete: How GitHub Copilot Went From Moonshot to ProductInvitado: Ryan J. Salva · Presenta: Lenny RachitskyGitHub VP of product Ryan J. Salva explains how a small research team's experiment became Copilot, and what it took to scale it responsibly.
45:34ENThe Four Questions Shreyas Doshi Wishes He Had Asked Himself SoonerPresenta: Lenny RachitskyA live conversation about scope, strategy, taste, and listening as the hidden drivers of product leadership.
1:37:19ENImpact, Inquiry and Letting Fires Burn: Vlad Loktev's Playbook from a Decade Inside AirbnbPresenta: Lenny RachitskyFormer Airbnb homes GM and new Index Ventures partner Vlad Loktev tells Lenny Rachitsky how he prioritizes, disagrees, scales teams and keeps his balance in hypergrowth.
1:22:43ENWhy You Won't Know a Great Name When You See It: Inside Lexicon's Naming ProcessPresenta: Lenny RachitskyDavid Placek of Lexicon Branding explains how his team names brands like Sonos, Azure, Windsurf and Vercel, and how founders can do it on a budget.
1:09:35ENKill Your Own Project, Diversify Your Growth: Noam Lovinsky's Lessons from YouTube, Thumbtack, Facebook and GrammarlyInvitado: Noam Lovinsky · Presenta: Lenny RachitskyGrammarly's chief product officer walks through four very different chapters of his career and the principles each one taught him.
1:27:45ENFast Beats Right: Claire Vo on the CPTO Role, Moving Like a Startup and What AI Will Take From PMsInvitado: Claire Vo · Presenta: Lenny RachitskyLaunchDarkly's chief product officer and ChatPRD creator shares career advice, her playbook for pace and standards, and a view on which product skills AI will replace.
1:16:57ENHow Ramp Reached $100M in Revenue with 50 People: Velocity, Single-Threaded Teams and Context Over ControlInvitado: Geoff Charles · Presenta: Lenny RachitskyRamp's VP of Product Geoff Charles explains to Lenny Rachitsky how a culture of velocity, tiny focused teams and radically empowered engineers drove one of the fastest SaaS growth runs on record.
1:12:52ENFrom Google+ to the Tabbed Inbox: How to Build Products on Evidence, Not OpinionInvitado: Itamar Gilad · Presenta: Lenny RachitskyFormer Google product manager Itamar Gilad contrasts a failed social network with a hit Gmail feature and walks through the GIST framework from his book Evidence-Guided.
1:24:24ENIntelligence for Heavy Machines: Qasar Younis on Why Physical AI Will Change Farms, Mines and Roads FirstPresenta: Lenny RachitskyThe Applied Intuition co-founder explains why the biggest near-term AI impact is in vehicles and industrial machines, and shares the values, reading habits and management philosophy behind a quiet $15 billion company.
1:36:29ENSmiling Exhaustion: Inside the Tech Worker Sentiment Survey as AI's Honeymoon FadesPresenta: Lenny RachitskyNoam Segal and Lenny Rachitsky walk through the second annual Tech Worker Sentiment Survey, which captured about 6,000 people in tech and found a workforce split down the middle by AI.
1:42:21ENCommunication Is the Job: Meta CTO Andrew "Boz" Bosworth on 18 Years from Facebook's Early Days to Reality LabsInvitado: Andrew "Boz" Bosworth · Presenta: Lenny RachitskyBosworth recounts the unglamorous early days of Facebook, the building of News Feed, and the leadership lessons he drew from managing up, communicating clearly and learning to be curious instead of defensive.
1:13:18ENHuman-Centered or Fully Autonomous? Lex Fridman's Case for Collaboration Between Driver and MachinePresenta: Lex FridmanLecture 2 of MIT's 2018 course on deep learning for self-driving cars covers the two paths to autonomy, how sensors compare, who is building what, and where deep learning can help.
40:00ENThe Winds of Change: How Mistral Plans to Win the Open-Model EraPresenta: Jacob EffronArthur Mensch explains Mistral's open-source strategy, enterprise distribution, model research, and views on AI regulation and sovereignty.
47:13ENReid Hoffman's Case Against Doomerism: AI as the Steam Engine of the MindPresenta: Sarah Guo, Elad GilThe LinkedIn and PayPal co-founder explains why he sees AI as a human amplifier, what white-collar workers should do now, how Inflection's Pi was conceived, and why you can't regulate before you innovate.
1:12:15ENThe Open-Model Vibe Check: China, Containment, and the Data MoatPresenta: Jacob EffronJacob Effron and guests debate Chinese open-weight models, distillation, containment policy, the OpenAI–Hugging Face incident, and Cursor's data advantage.
1:28:32ENInside Duolingo's Streak: What 600+ Experiments Taught One Retention TeamInvitado: Jackson Shuttleworth · Presenta: Lenny RachitskyDuolingo group product manager Jackson Shuttleworth walks through the history, wins, wrong turns and operating habits behind the single feature he calls the company's biggest growth lever.
1:26:32ENThe Achiever's Trap: A Growth Leader on Burnout, Healing and Letting the Old Self GoInvitado: Andy Johns · Presenta: Lenny RachitskyFormer Facebook, Twitter and Wealthfront growth leader Andy Johns explains how achievement became his survival strategy, why it broke down, and the four steps he sees in deep personal change.
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