필터 결과
48개정렬
42:06EN
Unsupervised Learning: With Jacob Effron· 2025년 12월 2일팟캐스트After SWE-bench Hits 80.9%, Dianne Na Penn Reckons with Opus 4.5진행자 Jacob EffronAnthropic’s head of product for research on computer use, deceptive token prices, thin harnesses, and why alignment makes a model a better thinker.
51:19ENUnsupervised Learning: With Jacob Effron· 2025년 4월 29일팟캐스트Sal Khan's $15 Tutor Hit 1.4 Million Users. Making Kids Actually Use It Is the Product진행자 Jacob EffronThe Khan Academy founder tells Redpoint why an AI tutor still cannot teach most students alone, and why districts are paying $15 a year after an $86 billion tutoring hangover.
1:24:48EN
Cognitive Revolution "How AI Changes Everything"· 2024년 11월 23일팟캐스트Canva's AI Features Have Been Used 10 Billion Times. The Playbook Is Not a Chat Box진행자 Nathan LabenzJohn Milinovich, Canva's generative-AI product lead, walks Nathan Labenz through automation versus augmentation, concept-level interfaces, evals without a design arena, and why application-layer companies still have a decade of room.
35:24ENUnsupervised Learning: With Jacob Effron· 2024년 6월 11일팟캐스트Scott Belsky: Models Are Commoditizing. Controls, Data, and Taste Are the Moat진행자 Jacob EffronAdobe’s chief product officer tells Unsupervised Learning why Project Neo leaking into Firefly, a three-second Premiere extend, and Superhuman-priced software all point to the same shift.
1:32:19ENCognitive Revolution "How AI Changes Everything"· 2024년 2월 29일팟캐스트His 2018 Prompting Paper Was Rejected. His Search API Now Beats Google진행자 Nathan LabenzRichard Socher traces You.com from a rejected unified NLP model to an LLM-native web index, three assistant modes, and a very low P(doom).
1:00:02ENCognitive Revolution "How AI Changes Everything"· 2023년 8월 17일팟캐스트98% of Users Froze on a Blank Page. Then Gamma Let AI Finish 90% of the Deck진행자 Nathan LabenzJon Noronha on building the anti-PowerPoint, coaxing models to write HTML, and why incumbents will let startups prove the pattern first.
1:47:05ENCognitive Revolution "How AI Changes Everything"· 2023년 7월 1일팟캐스트Edit Meaning, Not Tokens: Linus Lee on Latent-Space Interfaces진행자 Nathan LabenzThe Notion AI product lead walks Nathan Labenz through the interfaces, model autopsies, and agency questions behind his research prototypes.
1:21:44EN
Lenny's Podcast팟캐스트From Rowing to Steering: Inside OpenAI's Push Toward Persistent AI Coworkers진행자 Lenny RachitskyTara Seshan, who leads product for Codex and ChatGPT Work at OpenAI, explains how PM work changes when agents do the rowing and people do the steering.
1:26:22ENLenny's Podcast팟캐스트Start Small, Earn Autonomy: What 50+ AI Product Deployments Taught Two Builders진행자 Lenny RachitskyAishwarya Naresh Reganti and Kiriti Badam explain why AI products need a different build process, and how to grow agent autonomy step by step without losing customer trust.
1:08:29ENLenny's Podcast팟캐스트Taste, Authenticity and Small Pods: Instagram's Adam Mosseri on Building Products in an AI World진행자 Lenny RachitskyThe head of Instagram explains how Meta's product teams are shrinking, why human judgment and creator identity matter more as AI content grows, and what he learned from his biggest failures.
1:31:22ENLenny's Podcast팟캐스트The Super IC Playbook: 12 Years of Product Leverage Without Management진행자 Lenny RachitskyTal Raviv explains why he stayed an individual-contributor PM for 12 years, how he uses AI and self-reliant teams to scale his impact, and what failure has taught him.
1:33:50ENLenny's Podcast팟캐스트Evals Are the New PRDs: Inside Anthropic's Research Product Team진행자 Lenny RachitskyDianne Penn, Anthropic's head of product for research and Labs, explains how the company found its identity, how her team turns user feedback into evals, and why human judgment still matters.
19:13ENLenny's Podcast팟캐스트Judgment Is the Craft: Robby Stein's Three-Chapter Playbook for Product Managers in the AI Era진행자 Lenny RachitskyGoogle Search's Robby Stein says a PM's core skill is decision making, and walks through how to understand people, diagnose root causes and polish the craft, with AI helping at each step.
48:58ENLenny's Podcast팟캐스트NotebookLM's Accidental Podcast Hit: A 20% Project, a Tiny Team, and a Remixable AI Editor진행자 Lenny RachitskyRaiza Martin explains how NotebookLM's Audio Overviews became a viral demo, how Google Labs let a tiny team ship like a startup, and where the product goes next.
28:48ENLenny's Podcast팟캐스트Why Claude Still Needs a PM: Anthropic's Product Leaders on Judgment, Agents and Parallel Bets진행자 Lenny RachitskyAt the Lenny and Friends Summit, Anthropic's Ami Vora and Mike Krieger tell Dan Shipper how the product role is changing when technology shifts every couple of months.
1:01:47ENUnsupervised Learning: With Jacob Effron팟캐스트Inside Notion AI: Prototypes That Annoy Everyone, Evals Built In-House, and Models Rented from Partners진행자 Jacob EffronNotion AI engineer Linus Lee explains how a dozen-person team went from a hotel-room hackathon to Writer, Autofill and workspace Q&A.
1:22:43ENLenny's Podcast팟캐스트A Colleague With Its Own Computer: How a Small Team Built Grok Bot in a Month진행자 Lenny RachitskyRoman Ugarte of SpaceXAI explains the decisions, hand-held onboarding and product philosophy behind Grok Bot, and what Cursor's culture taught him about staying ahead.
1:27:22ENLenny's Podcast팟캐스트Agency Over Job Titles: Notion's Max Schoening on Building in the AI Era진행자 Lenny RachitskyNotion's head of product on why designers should code, why agency separates the people who thrive, and what makes a product great.
53:02ENUnsupervised Learning: With Jacob Effron팟캐스트Adobe's Firefly Bet: A Billion Beta Images, Creative Control, and Trust at Scale진행자 Jacob EffronAdobe's Alexandre explains how Firefly moved from research to product, how Adobe balances creative control with generative speed, and why trust and feedback loops are central to its AI strategy.
51:30ENUnsupervised Learning: With Jacob Effron팟캐스트Less Email, Better Thinking: Grammarly’s CEO on AI That Augments Communication진행자 Jacob EffronGrammarly CEO Rahul explains how the company is moving from grammar checks to end-to-end communication assistance—and why evals, user data, and measurable outcomes matter.
1:04:25ENUnsupervised Learning: With Jacob Effron팟캐스트Inside GitHub's Copilot Bet: Agents, Open Source, and Why the Developer Job Endures진행자 Jacob EffronGitHub CEO Thomas explains how Copilot went from a research bet to 1.3 million developers, and what agents, fine-tuning and a multi-model world mean for the next five years of software.
57:08ENUnsupervised Learning: With Jacob Effron팟캐스트Shipping Finn: Intercom's Product Playbook for the ChatGPT Era진행자 Jacob EffronDes Traynor explains how Intercom pivoted to AI, shipped Finn, built guardrails, and turned customer support into a product lab for LLMs.
22:31ENLenny's Podcast팟캐스트Ten Regrets: Marty Cagan on What He Got Wrong About Product진행자 Lenny RachitskyAt Lenny and Friends Summit, Marty Cagan revisits his decades of product advice and names the ten things he would change.
50:03ENLenny's Podcast팟캐스트Copilot Is a Copilot, Not a Pilot: Inbal Shani on the Future of AI in Software Development진행자 Lenny RachitskyGitHub's chief product officer explains what AI changes for developers, what it does not replace, and how teams should adopt it.더 보기48개 중 24개 표시