Lenny's Podcast: Product | Career | Growth

Lenny Rachitsky
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Interviews with world-class product leaders and growth experts to uncover concrete, actionable, and tactical advice to help you build, launch, and grow your own product.

  1. Adam Mosseri: AI is a tailwind for authenticity

    5 giờ trước

    Adam Mosseri: AI is a tailwind for authenticity

    Adam Mosseri is the Head of Instagram, where he oversees an app used by over 3 billion people. He also leads the team building Threads. Adam has run Instagram for longer than its founders did, after taking over from Kevin Systrom and Mike Krieger in 2018. A designer by training, he spent over 15 years at Meta, starting as a designer on Facebook’s mobile app, rising to lead Facebook’s News Feed, and eventually chosen to lead Instagram. During his tenure, Instagram’s user base has more than tripled. In our in-depth conversation, we discuss: 1. How the canonical product team structure is changing in 2026, from baker’s-dozen specialist teams to lean pods of four to six generalists 2. The rise of the “product staff” role—a blending of PM, design, data science, and research into one generalist operator 3. Why Adam is bullish on designers even as functional boundaries dissolve, and which roles are most at risk 4. What the Instagram algorithm knows about you, and why it’s only now catching up to what people assumed it knew years ago 5. Why the rise of AI-generated content is a tailwind for Instagram, and how the company is thinking about creator identity in a synthetic-content world 6. The two biggest product failures of Adam’s career—Facebook Home and the first version of Reels — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/adam-mosseri-ai-is-a-tailwind-for — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Adam Mosseri: • X: https://x.com/mosseri • LinkedIn: linkedin.com/in/mosseri • Instagram: https://www.instagram.com/mosseri — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Adam Mosseri (02:09) How product teams are changing inside Meta (05:48) Blurring roles and career anxiety (14:01) Hiring traits that matter now (16:48) How AI is resetting who succeeds at work (19:38) How Meta thinks about token spend and AI costs (23:23) Where human judgment still matters (25:56) Why AI is not automatically great at strategy (30:36) Why great product leaders are curators (34:23) What Instagram’s algorithm actually knows about you (38:08) Why chronological feeds often disappoint users (40:56) Why AI content may be a tailwind for Instagram (43:42) The future of AI and human content in the feed (48:00) What Adam admires about other social platforms (52:05) How he handles public criticism (56:31) Lessons from the Instagram feed redesign backlash (01:00:21) Adam’s biggest failure: Instagram on iPad (01:03:03) His approach to kids, screens, and social media (01:06:56) What Adam wants listeners to remember — Referenced: • What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams): https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering • Claude Code: https://www.anthropic.com/product/claude-code • Claude Cowork: https://www.anthropic.com/product/claude-cowork • Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens • A rational conversation on where AI is actually going | Benedict Evans: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where • OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai • Mythos: https://www.anthropic.com/claude/mythos • Fable: https://www.anthropic.com/claude/fable • Pluralistic: The Reverse-Centaur’s Guide to Criticizing AI: https://pluralistic.net/2025/12/05/pop-that-bubble • Plastic Dream Sequence on Instagram: https://www.instagram.com/plasticdreamsequence • TikTok: https://www.tiktok.com • Facebook–Cambridge Analytica data scandal: https://en.wikipedia.org/wiki/Facebook%E2%80%93Cambridge_Analytica_data_scandal • Facebook Home: https://en.wikipedia.org/wiki/Facebook_Home — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 8 phút
  2. OpenAI Codex lead on the new shape of product work | Andrew Ambrosino

    28 thg 6

    OpenAI Codex lead on the new shape of product work | Andrew Ambrosino

    Andrew Ambrosino leads development of the Codex desktop app at OpenAI. Nearly 100% of OpenAI employees—not just engineers—now use Codex weekly. A lifelong builder with a background spanning engineering, design, product management, and founding companies, he is now responsible for turning the Codex desktop experience into what he calls “the best desktop app that has ever existed, full stop.” In our in-depth conversation, we discuss: 1. Why AI has completely flipped the product development process 2. What “taste” really means as a professional skill, and why it is emerging as the most valuable capability in an AI-first workplace 3. Why Andrew believes the Codex app would have failed if they launched it last November (vs. in February) 4. The “zone defense” model for how product managers at OpenAI operate when everyone can build anything 5. How roles are collapsed on Andrew’s team, and why eliminating the concept of roles entirely is a big mistake 6. How Andrew uses Codex to run his own workflows 7. The vision for a home base that coordinates work across ChatGPT, Codex, and the tools people already use. — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury—Radically different banking, now with Command — Episode transcript: https://www.lennysnewsletter.com/p/openais-codex-lead-on-the-new-shape — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Andrew Ambrosino: • X: https://x.com/ajambrosino • LinkedIn: https://www.linkedin.com/in/ajambrosino • Website: https://ambrosino.io — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Andrew Ambrosino (02:30) How AI is changing the shape of product work (06:32) When to use documents vs. prototypes (10:25) What “taste” actually means (12:06) Why AI is still bad at design (16:18) Is the design process really dead? (21:35) What the design process looks like on the Codex team (23:41) Are product functions disappearing? (27:22) Team structure (30:12) IC vs. management (31:37) Planning roadmaps (35:16) Building features that don’t work yet (38:13) The ambition problem: when you’re too AGI-pilled (39:17) The latest frontier: loops and autonomous development (52:05) How Andrew uses Codex to automate his entire job (46:52) The power of computer use and browser automation (49:10) Will we run all our SaaS apps inside Codex? (52:05) The future vision for Codex (57:20) The videographer who built a Premiere Pro extension with Codex (59:30) Failure corner (1:01:50) Lightning round (1:07:03) BTS: How our producer uses Codex for editing — References: https://www.lennysnewsletter.com/p/openais-codex-lead-on-the-new-shape — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 10 phút
  3. What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)

    21 thg 6

    What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)

    Fiona Fung leads the teams behind Claude Code and Cowork at Anthropic (overseeing Boris Cherny and the entire engineering and PM team). Before Anthropic, she spent 11 years at Microsoft building Visual Studio and TypeScript and then moved to Meta, where she started Facebook Marketplace (now generating over $100 billion in GMV annually), worked on Meta’s first smart glasses and AR glasses, and led infrastructure, growth, integrity, and safety teams at Instagram. She’s been an engineer for over 25 years and has a unique perspective on how the role of building software is changing. In our in-depth conversation, we discuss: 1. What she’s learned about running a team that’s shipping 8x more code than before 2. Which roles AI will transform next 3. Specific ways her team uses AI 4. How Claude “routines” have changed how she operates as a manager 5. The context-switching problem no one has solved yet 6. The biggest unsolved problem in AI 7. What keeps her up at night — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/ — Where to find Fiona Fung: • LinkedIn: linkedin.com/in/fionafung — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Fiona Fung (02:31) How the engineering role has transformed over 25 years (09:28) What an AI-pilled software team looks like in 2026 (12:26) Using Claude to manage and review team output (14:40) The evolution of code review and verification (16:55) Who to hire: creative builders and deep systems experts (18:18) The shift to ambitious thinking (19:40) The growth mindset required to thrive in AI-native teams (25:52) Helping small businesses adopt AI tools (31:46) How Anthropic spots latent demand and builds for it (35:08) The next frontier: asynchronous work with AI routines (38:06) Agency and accountability in AI-native teams (39:40) The vibe shift from token-maxing to ROI measurement (44:24) The “bad vs. sad” quality framework (49:34) Why all managers start as ICs at Anthropic (55:24) Preventing skill atrophy (58:43) Managing context switching with 20 AI agents running (1:00:08) How PM and data science roles are transforming (1:03:40) The importance of dogfooding and using your own product (1:08:36) Outstanding questions (1:12:48) The future of engineering jobs and education (1:17:59) What keeps Fiona up at night: team culture at scale (1:22:53) From six-month roadmaps to JIT (just-in-time) monthly planning (1:27:03) Lightning round — References: https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 39 phút
  4. The hidden pattern behind successful products | Mark Pincus (founder of Zynga)

    14 thg 6

    The hidden pattern behind successful products | Mark Pincus (founder of Zynga)

    Mark Pincus founded Zynga—the company behind Words With Friends, FarmVille, and Zynga Poker—and has arguably created more hit consumer products than anyone in history. At Zynga, eight of 10 major game launches became massive hits, reaching over a billion players. Over the past five years, Mark has been synthesizing everything he’s learned about building successful consumer products and turning it into a book, Life at the Speed of Play, which comes out on June 23. This is the first interview he’s done about the book. In our in-depth conversation, we discuss: 1. His “Proven, Better, New” framework: copy what’s proven, make it better so that 10 out of 10 people say “f*ck yes, I’ll use this”—then add something new 2. Why being less ambitious is the path to the most ambitious ideas 3. His rule of thumb that your instincts are right 95% of the time, but your ideas are wrong 75% of the time 4. “Kill hope before hope kills you” 5. How to raise kids in the age of AI — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Vanta—Automate compliance, manage risk, and accelerate trust with AI — Episode transcript: https://www.lennysnewsletter.com/p/the-common-pattern-behind-successful — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Mark Pincus: • X: https://x.com/markpinc • LinkedIn: https://www.linkedin.com/in/markpincus • Website: https://www.lifeatthespeedofplay.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Mark Pincus (02:46) The Proven Better New framework overview (07:29) Earning the right to innovate (08:30) What “better” really means (12:03) Quick summary of the framework (12:40) Examples of the framework in action (13:30) How to use proven correctly on your platform (15:13) The moral arbitrage of copying (23:55) Be less ambitious (28:25) The Bolt.new story and staying humble (33:15) Kill hope before hope kills you (37:00) Using AI as a failure machine (40:08) Why Zynga’s games succeeded (it wasn’t virality) (48:36) The future of consumer social apps (57:05) How to know if your product is a B+ (1:01:25) Distribution in the age of AI (1:15:39) Make everyone a CEO (1:18:18) Stay close to the metal (1:21:35) Why Mark says micromanagement is beautiful (1:23:35) The expert witness (1:25:05) The number one job of a CEO is to be right (1:26:35) What Mark is teaching his five kids (1:35:14) Mark’s “why” (1:37:08) Mark’s new book: Life at The Speed of Play — Referenced: • Tribe.net: https://en.wikipedia.org/wiki/Tribe.net • Zynga: https://www.zynga.com • Sid Meier: https://en.wikipedia.org/wiki/Sid_Meier • Electronic Arts: https://www.ea.com • CityVille: https://en.wikipedia.org/wiki/CityVille • Words With Friends: https://wordswithfriends.com/ • Scrabble: https://playscrabble.com • Reddit: https://www.reddit.com • TED Radio Hour, MIT Media Lab founder, 1984 TED talk.: https://www.ted.com/talks/nicholas_negroponte_5_predictions_from_1984 • Peter Thiel on LinkedIn: https://www.linkedin.com/in/peterthiel • FarmVille: https://en.wikipedia.org/wiki/FarmVille • Craig Newmark: https://en.wikipedia.org/wiki/Craig_Newmark • How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps (co-founder of TBH, Gas, advisor, investor): https://www.lennysnewsletter.com/p/how-to-consistently-go-viral-nikita-bier • Angry Birds: https://www.angrybirds.com/ • OMGPop: https://en.wikipedia.org/wiki/OMGPop • Draw Something: https://en.wikipedia.org/wiki/Draw_Something • Slack founder: Mental models for building products people love ft. Stewart Butterfield: https://www.lennysnewsletter.com/p/slack-founder-stewart-butterfield • Brian Chesky’s new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach • Garry Tan on LinkedIn: https://www.linkedin.com/in/garrytan • Brian Armstrong on LinkedIn: https://www.linkedin.com/in/barmstrong • Jason Citron on X: https://x.com/jasoncitron • Stanislav Vishnevskiy on LinkedIn: https://www.linkedin.com/in/svishnevskiy • Jeff Bezos on X: https://x.com/JeffBezos • Andy Jassy on X: https://x.com/ajassy • Niantic: https://nianticlabs.com • Pokémon Go: https://pokemongo.com • Bing Gordon on LinkedIn: https://www.linkedin.com/in/binggordon — Recommended book: • Life at the Speed of Play: Launch Products People Love!: https://www.amazon.com/Life-Speed-Play-Launch-Products/dp/0063352575/ref=tmm_hrd_swatch_0 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 39 phút
  5. Father of the iPod and iPhone on building taste, judgment, and creativity in the AI era | Tony Fadell

    7 thg 6

    Father of the iPod and iPhone on building taste, judgment, and creativity in the AI era | Tony Fadell

    Tony Fadell created the iPod, co-created the iPhone, and founded Nest (which he sold to Google for $3.2 billion). He’s co-authored over 300 patents, was part of the legendary team at General Magic, and wrote one of the most important and inspiring books for builders, called Build. In our in-depth conversation, we discuss: 1. The heated internal debates about whether the iPhone should have a physical keyboard 2. Why opinion-based decisions are essential for v1 products 3. Why marketing matters as much as the product itself, and how the iPod almost failed 4. Why voice will eventually become the primary interface with AI 5. Why cognitive surrender to AI is the biggest risk facing product builders today — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/father-of-the-ipod-and-iphone-on — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Tony Fadell: • X: https://x.com/tfadell • LinkedIn: https://www.linkedin.com/in/tonyfadell • Website: https://www.buildc.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Tony Fadell (02:23) The Blackberry vs. iPhone keyboard debate (07:50) Micromanaging vs. kind lies: what great products actually need (15:57) The Nest thermostat and smoke alarm story (21:22) How to decide what’s worth building: pain plus new technology (27:36) The three-generation rule: why nothing works the first time (34:20) The full customer journey: why marketing defines your product (40:53) The power of storytelling and the press-release-first approach (48:37) The evolution of product management and the builder role (50:27) Why AI-generated code creates brittle, unmaintainable products (58:00) Storytelling techniques (1:05:45) The next iPhone (1:13:15) Hardware is back (1:17:01) What Tony is most excited about (1:21:38) Working with Tony (1:25:36) Ethics, morals, and the responsibility of product builders (1:32:40) How to connect with Tony and Build Collective — References: https://www.lennysnewsletter.com/p/father-of-the-ipod-and-iphone-on — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 35 phút
  6. A rational conversation on where AI is actually going | Benedict Evans

    31 thg 5

    A rational conversation on where AI is actually going | Benedict Evans

    Benedict Evans is an independent analyst and former partner at Andreessen Horowitz, where he spent years as their in-house “thinker” tracking the most important technology trends. For the past six years, he’s been publishing deeply researched presentations on where tech is heading, most recently focused on AI’s transformation of the economy. His work is read by founders, investors, and operators trying to make sense of a noisy field. His most controversial opinion: AI is as big a deal as the internet or mobile—and only as big. In our in-depth conversation, we discuss: 1. Why we’re in “1997” for AI—early, exciting, and deeply uncertain about what comes next 2. Where value will actually accrue in the AI stack 3. The anti-AI backlash, and where it may lead 4. The surprising boom in consulting and professional services at AI companies 5. Why distribution is becoming the ultimate moat as software gets easier to build 6. Why the right question about your job isn’t “What percent can AI do?” but “Is this a task or a job?” 7. Why things will probably be okay—and what you need to do to prepare — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Benedict Evans: • LinkedIn: https://www.linkedin.com/in/benedictevans • Newsletter: https://www.ben-evans.com/newsletter • Website: https://www.ben-evans.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Benedict Evans (02:19) What people aren’t pricing in about AI’s impact (06:24) Why we’re in the 1997 moment of AI (09:44) The unexpected boom in professional services and consultants (17:44) Why distribution is becoming the ultimate moat (23:17) The coming job transformation: what’s real vs. panic (27:33) Why AGI definitions keep shifting (38:11) Where value will accrue: models vs. applications (42:55) Distribution wars: Google, Meta, Apple, and OpenAI (48:12) The anti-AI sentiment and backlash (53:11) How to raise kids in an AI future (58:27) What jobs to steer toward or away from (59:20) The question nobody’s asking about AI (1:06:25) How to be successful in this coming future (1:08:43) AI corner (1:11:43) Lightning round — Referenced: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 20 phút
  7. The AI paradox: More automation, more humans, more work | Dan Shipper

    24 thg 5

    The AI paradox: More automation, more humans, more work | Dan Shipper

    Dan Shipper is the co-founder and CEO of Every, a media and software company that’s become a living laboratory for the future of work. Everyone at his company of about 30 people is an AI early adopter; from editors to ops people, they use AI to do much of their work, giving Every a unique lens into where the world is heading. A year ago on this show, Dan predicted that people were sleeping on Claude Code for nontechnical work, which proved to be remarkably prescient. Today he’s back with another set of calls: the SaaS apocalypse is dumb, CLIs are over, the forward deployed engineer is the most valuable new hire, and the only thing you need to do to stay employed is ride the models. Dan’s predictions: 1. The future of work will happen inside Codex or Claude Code. 2. Every company will have one “super-agent” inside their Slack that every employee talks to regularly. 3. SaaS is not dead—in fact, Dan is bullish on SaaS stocks. His contrarian take: “I would buy SaaS stocks right now.” 4. SaaS economics will shift: users will bring their own AI tokens into apps, which actually improves SaaS margins. 5. PMs will thrive in the AI era. 6. Full-stack designers will become superheroes. 7. The AI job apocalypse is not happening. 8. Forward deployed engineer is the new most essential role. 9. CLIs are over. 10. Automation is a lie. 11. We will read way more AI-generated writing and we will like it. 12. We’ll be building software for humans and agents to use together. — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Dan Shipper: • X: https://x.com/danshipper • LinkedIn: https://www.linkedin.com/in/danshipper/ • Podcast: https://every.to/podcast • Website: https://danshipper.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Dan Shipper (02:56) Dan’s unique position living in the AI future (09:17) How the way we work will change in the coming year (16:39) The case for general agents (18:08) Codex and Claude Code as the new operating system for work (25:39) How Cursor fits in (27:42) How this changes what SaaS companies should build (31:13) Why CLI is already over (33:34) Two agents are better than one (36:22) Why Dan is bullish on SaaS stocks (39:01) Why automation doesn’t reduce human work (47:00) The value of human-written code (48:36) Quick recap (50:15) How work is changing (56:17) Why data scientists are drowning in bad analysis (58:24) Which product/tech roles are least changed by AI (1:02:17) We will read way more AI-generated writing and we will like it (1:08:28) Why product managers will dominate the AI era (1:11:05) Full-stack designers are the other big winners (1:13:11) The AI job apocalypse won’t happen (1:16:00) How to “ride the models” to stay relevant (1:21:02) Final predictions and advice (1:25:24) Lightning round — References: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

    1 giờ 34 phút
  8. Why we’re at the beginning of the AI hardware boom | Caitlin Kalinowski (ex–OpenAI, Meta, Apple)

    17 thg 5

    Why we’re at the beginning of the AI hardware boom | Caitlin Kalinowski (ex–OpenAI, Meta, Apple)

    Caitlin Kalinowski was most recently at OpenAI helping build their robotics and hardware teams from scratch. Prior to that, she was head of AR glasses and VR hardware at Meta, where she led the teams building every generation of the Quest, Rift, and Orion, and was Meta’s first consumer electronics hire. Before this, she was technical lead on MacBook Air and Mac Pro at Apple, and helped engineer the original unibody MacBook Pro. She’s designed and engineered some of the hardest and most beloved consumer hardware products in history and is now focused on the next frontier: robotics. In our in-depth conversation, we discuss: 1. VR—what happened? 2. The coming memory price shock and why she’s telling startups to pre-buy now 3. How the technologies built for VR became the foundation of modern warfare 4. Why humanoid robots are still just prototypes, and what’s actually gating mass deployment 5. Lessons from Steve Jobs, Mark Zuckerberg, and Sam Altman 6. Why she left OpenAI — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/why-were-at-the-beginning-of-the — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Caitlin Kalinowski: • X: https://x.com/kalinowski007 • LinkedIn: https://www.linkedin.com/in/ckalinowski • Website: https://www.caitlinkalinowski.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ In this episode, we cover: (00:00) Introduction to Caitlin Kalinowski (02:32) Why VR didn’t take off despite incredible hardware (04:55) The future of AR glasses and physical AI (08:45) Why robotics and hardware are suddenly hot (13:33) Why humanoid robots aren’t ready yet (16:13) Supply chain bottlenecks threatening robotics (17:31) Why magnets and actuators are critical dependencies (20:51) The geopolitical implications of hardware supply chains (24:48) AI safety concerns with physical robots (26:50) Apple’s approach to hardware excellence (30:10) Building a hardware program from scratch at Meta (31:39) The Quest 2 cost reduction story (33:07) Critical principles for hardware development (39:58) The MacBook Air manila envelope moment (41:01) The butterfly keyboard situation (41:43) Lessons from Apple on customer feedback (44:46) The memory price crisis coming for hardware (49:31) How many components go into a robot (52:53) When to use off-the-shelf vs. custom components (55:02) How AI is changing hardware engineering (1:00:27) Why humanoids aren’t the answer for most use cases (1:03:05) When robots will build other robots (1:06:23) What makes a robot feel human and connected (1:09:15) Robots in the home (1:12:00) What the next five years look like (1:15:38) Why she left OpenAI (1:18:09) How to hire exceptional hardware teams (1:23:42) Lessons from Steve Jobs, Mark Zuckerberg, and Sam Altman (1:27:27) Failure corner (1:32:33) Lightning round — References: https://www.lennysnewsletter.com/p/why-were-at-the-beginning-of-the — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

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