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1:07:48ENMost Productivity Metrics Are a Lie: Nicole Forsgren on Measuring Developer Experience in the AI Era진행자 Lenny RachitskyThe creator of DORA and SPACE explains why lines of code and old pipeline metrics fall short with AI, and how to start improving developer experience by listening, surveying and tying results to what leaders care about.
17:21ENHow Alexa Learned to Hear From Across the Room: Rohit Prasad on Far-Field Speech and Intent게스트 Rohit Prasad · 진행자 Lex FridmanAlexa's head scientist recalls the early days of the Echo, when far-field speech recognition seemed unsolvable and there were no customers to collect data from.
1:40:51ENBuilding a Friend, Not an Assistant: Replika's Eugenia Kuyda on Conversational AI and Its Limits진행자 Nathan LabenzThe founder of Replika explains why she treats conversation as the product itself, how the company measures emotional outcomes, and why it pulled back from erotic roleplay.
1:33:28ENWorking Backwards: How Amazon Turned Customer Obsession into a Repeatable Operating System게스트 Bill Carr · 진행자 Lenny RachitskyFormer Amazon VP Bill Carr explains the PR/FAQ, single-threaded leaders, input metrics, disagree-and-commit and Bar Raisers, and how other companies can adopt them.
1:26:02ENGo-to-Market as a Product: Inside Vercel's Agent-Powered Sales Machine게스트 Jeanne DeWitt Grosser · 진행자 Lenny RachitskyVercel COO and former Stripe sales leader Jeanne DeWitt Grosser explains how go-to-market engineers, AI agents and product thinking are reshaping sales.
1:17:18ENInside Ramp's Growth Engine: Velocity, Payback Period and Failing Conclusively게스트 Sri Batchu · 진행자 Lenny RachitskyRamp's head of growth Sri Batchu explains how the fastest-growing SaaS company in history organizes its growth teams, picks metrics, runs experiments and hires.
1:33:33ENThe Art of Influence: Treat Your Executive Like Your Most Important User진행자 Lenny RachitskyWebflow product leader and former Slack chief of staff Jessica Fain explains how executives really decide, and why influence matters even more in the age of AI.
45:46ENGiving AI a Nervous System: Voice, Touch, and the Post-Keyboard Interface진행자 Jacob EffronLiveKit's Russ explains how voice AI, multimodal chat, cloud browsers, and on-device models are reshaping how humans work with machines.
1:35:07ENTony Fadell on Taste, Opinionated Product Decisions, and Refusing to Surrender to AI진행자 Lenny RachitskyThe iPod and iPhone veteran explains how v1 products get built on informed opinion, why marketing is part of the product, and where AI helps or hurts builders.
1:24:50ENCrossing the Chasm, Explained by Its Author: Start Small, Win a Segment, Then Scale게스트 Geoffrey Moore · 진행자 Lenny RachitskyGeoffrey Moore walks through the technology adoption lifecycle, the four go-to-market playbooks that fit each stage, and the mistakes that keep B2B startups stuck.
1:19:36ENWise and Curious: Chip Conley on Mentoring Brian Chesky, Dying Nine Times and Learning to Love Midlife진행자 Lenny RachitskyThe hotelier who became Airbnb's "modern elder" at 52 on working for a founder in founder mode, why age diversity is a team asset, and what a near-death experience taught him.
1:07:32ENReplacing the PM with the Full-Stack Builder: How LinkedIn Is Rebuilding Product Development for AI진행자 Lenny RachitskyLinkedIn's chief product officer Tomer Cohen explains the full-stack builder model, the custom agents behind it, and the culture work that decides whether it succeeds.
1:23:01ENThe Meteor Is Coming: Intercom's Paul Adams on Going All In on AI게스트 Paul Adams · 진행자 Lenny RachitskyIntercom's chief product officer talks about the failures that shaped him, how Intercom ripped up its strategy after ChatGPT, and the simple frameworks he uses to decide what to build.
1:24:30ENFrom Curation to Recommendation to Generation: Spotify's Gustav Söderström on Rethinking Product게스트 Gustav Soderstrom · 진행자 Lenny RachitskySpotify's co-president and CPO/CTO explains the AI DJ, a bruising homepage redesign, why squads gave way to VP-level autonomy, and what generative music might mean.
1:14:03ENThere Is No Marketing Playbook: Krithika Shankarraman's DATE Framework게스트 Krithika Shankarraman · 진행자 Lenny RachitskyThe first marketing hire at OpenAI and Stripe explains why diagnosing your own problem beats copying other companies' tactics.
1:17:44ENStart at Chapter One: Casey Winters on Executive Communication, Unsexy Work and Growth Loops게스트 Casey Winters · 진행자 Lenny RachitskyEventbrite CPO Casey Winters shares what he has learned about product leadership, simplicity at scale, strategy as the great career filter, and the current state of growth.
1:41:26ENThe AI Scouting Report, Part 3: What AI Can Already Do, Who Will Win, and Why Nathan Labenz Wants Caution on Scaling진행자 Nathan LabenzNathan Labenz closes his AP-course tour of AI with capabilities, market moats, jobs, law, safety plans and a stance on what to do next.
57:21ENGemini 2.0 Flash Goes to Production: Pricing, Model Lineup and What Developers Should Build Next진행자 Nathan LabenzGoogle DeepMind's Logan Kilpatrick walks through launch-day Gemini 2.0 releases, rate limits, model naming, and where he sees startup opportunities.
1:27:30ENFrom NAND Gates to Self-Driving Traffic: Deep Reinforcement Learning in One Lecture진행자 Lex FridmanLex Fridman's second MIT 6.S094 lecture walks from the humble perceptron to deep Q-learning and the browser-based DeepTraffic competition.
18:02ENYour Career Is the Most Important Product You'll Ever Ship진행자 Lenny RachitskyA product-leadership framework for navigating dozens of jobs, building career stories, avoiding burnout, and turning reputation into opportunity.
12:01ENThe Big Nap: Why Eric Weinstein Thinks the Pandemic Ends 75 Quiet Years게스트 The Big Nap · 진행자 Lex FridmanIn an April 2020 conversation, Eric Weinstein and Lex Fridman discuss what a global crisis reveals about collective action, fragility, and the institutions we treat as museum pieces.
1:05:15ENTaming the Long Tail: How Waymo Builds a Self-Driving Factory진행자 Lex FridmanWaymo principal scientist Drago Anguelov explains how machine learning infrastructure, hybrid design and smart simulated agents tackle the rare events of autonomous driving.
54:05ENServal's Jake Stout on Outbuilding ServiceNow: Mirror the System of Record, Bet on Code, and Ship Before the Incumbent Can Book a Meeting진행자 Jacob EffronHow an AI-native employee-support startup attacks a legacy ITSM incumbent with velocity, code-generated workflows and a permissions-first architecture.
1:27:15ENPolicy Gradients vs. Q-Learning: John Schulman's Field Guide to Deep Reinforcement Learning진행자 Lex FridmanOpenAI's John Schulman walks through the core methods of deep RL, from the score function estimator to TRPO and DQN, and says when each one is worth using.
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