Podcasts about SSO

   The Backstage Explorer and The Audition Room are two shows on 90.1 WUCX FM (Delta College) in which the voice and show producer Rod Bieber can be heard from. An orchestra musician by trade, his violin can still be heard at Michigan shows as they have in the past with such artists as Smokey Robinson, Anne Murray, Doc Severinsen, Donny Osmond, John Denver, Dick Wagner and Mannheim Steamroller--to just name drop a few acts that have called upon his services.    Bieber usually is the one to interview others, but has had the tables turned on him this time and has told his music history to us here at the MMHP. He has given so much to the Michigan Music scene, it was high time he tell his story. The SSO, the FSO, and the small Bay City Bijou Orchestra are mere stops along his fiddling past. This one goes deep! Tune in NOW...

Michael Moritz led Sequoia Capital for nearly two decades and backed some of the defining companies of the internet era.  In his new memoir, Ausländer, he turns his attention to his own family, Jewish refugees who fled Nazi Germany and rebuilt their lives in Wales.  We discuss the imprint his parents left on him, the method he used for decades of asking founders about their childhoods and the Time profile that ended his relationship with Steve Jobs.  We also also cover Lee Iacocca, why Don Valentine hired him, Alex Ferguson's approach to managing players, Elon Musk, and why Mike still struggles to feel proud of anything he has done. Please enjoy my conversation with Michael Moritz. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:16) Where Does One Person End? (00:11:15) The State of the World Today (00:15:08) The Unlived Life of Parents (00:17:33) Lee Iacocca, Eternal Outsider (00:21:03) His Most Revealing Question (00:26:03) Resisters, the Silent, and Collabos (00:33:30) The Profile of Steve Jobs (00:38:04) Frank Auerbach's Total Obsession (00:41:04) Why Don Valentine Hired Michael (00:46:44) Building Sequoia (00:49:49) What Michael Learned from Alex Ferguson (00:52:57) The Great Man Theory (01:00:36) Defining Extraordinary Writing (01:03:40) Stepping Back From Sequoia (01:06:54) A Philosophy of Parenting (01:09:00) The Next Book: Iran (01:11:44) The Kindest Thing

My guest today is Walter Russell Mead. Walter is a columnist at the Wall Street Journal and the author of Special Providence and God and Gold, two of the best books written on American power.  He has spent decades studying how the United States came to dominate the world, and our conversation is about whether it can keep doing so.  Walter lays out the five step playbook that carried the Dutch, then the British, then America to global leadership, and why the same pattern keeps beating centralized continental powers.  We discuss how Trump turned fame into power, the four schools of American foreign policy and the rise of the tech Hamiltonians, what the drone war in Ukraine means for the Pentagon, and why the erosion of deterrence is the deeper story in the Middle East.  Please enjoy my conversation with Walter Russell Mead. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like the Best (00:02:16) America and the World Today (00:05:34) Trump's Method of Power (00:09:43) Why America Keeps Winning (00:12:25) The Five-Point Plan for Global Dominance (00:20:11) China and American Power (00:22:10) The Risk of American Isolationism (00:25:50) Technology and Global Power (00:28:42) Riding the Technological Wild Horse (00:34:29) Four Schools of American Foreign Policy (00:40:22) The Rise of Tech Hamiltonians (00:43:51) India and the Next Great Powers (00:48:54) The Risks of the Information Revolution (00:51:30) How Technology Is Changing War (00:55:06) Taiwan (00:57:20) The Future of American Society (01:00:44) What It Means to Be American (01:03:25) Iran and the Middle East (01:06:28) The Erosion of Deterrence (01:08:53) America's Role in the Next 20 Years (01:12:08) AI and Global Power (01:14:26) Reasons for Optimism (01:16:33) The Kindest Thing

Roman Ugarte helped incubate and build Grok Bot, the popular new knowledge-work agent from SpaceXAI. A small, isolated team took it from first line of code to a working internal product in four weeks, and to a hugely successful public launch just three weeks later. Before Grok Bot, Roman led Growth at Cursor, where he helped scale the company from 15 people to over 1,000 before its acquisition by SpaceX.In our in-depth conversation, we discuss:1. The origin story of Grok Bot2. The key decision to build it from scratch instead of adding it to Cursor3. Why the team personally onboarded nearly 300 of its first users4. The two early product decisions that made Grok Bot so successful5. Their “colleague-pilled” product philosophy6. Roman's advice on moats, and what has allowed Cursor to keep winning in the most competitive market in the world—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/how-we-built-grok-bot-in-a-month—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Roman Ugarte:• X: https://x.com/romanugarte_• LinkedIn: https://www.linkedin.com/in/romanugarte• Website: https://x.ai—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(02:09) The origin story: building from scratch in one month(08:40) Why Grok Bot was built as a separate product(11:20) Manually onboarding a couple hundred people(14:29) Hiding internal mechanics from users(18:41) Timeline from beta to public launch(19:14) Unshipping features and simplifying(23:50) Early use cases and feedback(26:50) Product philosophy: “Grok Bot can now”(30:02) Cloud-first architecture(33:12) The fresh-start advantage(35:54) The vision: a true team of AI colleagues(39:20) The “colleague-pilled” framework(42:36) Work versus personal: one product or two?(47:14) Long-lived agents, persistent memory, and the computer abstraction(51:04) Grok Bot as an always-on infovore and chief of staff(53:35) How fast the team moves and what preserves the startup feeling(58:20) SpaceXAI pillars(1:00:44) The first 90% vs. the last 10%(1:03:30) Moving fast at scale(1:06:40) How Cursor kept winning in the most competitive market in the world(1:10:04) Company values: “deleting the product” and “just do the thing”(1:11:45) Moats: discovered, not planned(1:15:11) Tips for new users and power users(1:18:00) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/how-we-built-grok-bot-in-a-month—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

Anish Acharya is a General Partner at Andreessen Horowitz (a16z), where he has focused on consumer investing. Anish is one of the most insightful, thought-provoking, and in-the-weeds product investors I've met, and this conversation will get your mind buzzing. Before joining a16z, Anish was a serial founder and operator: he founded SocialDeck, which he sold to Google, then led multiple efforts inside Google before founding Snowball, which he sold to Credit Karma. At Credit Karma he rose to VP of Product and then GM of the consumer product and the broader credit card business.In our in-depth conversation, we discuss:1. Why you don't have to worry about becoming part of the “permanent underclass”2. Why company building will now involve creating a series of loops3. What's happening in consumer right now4. Why the biggest opportunity in consumer is “/loop, make me happier”5. Why moats are discovered, not designed6. The rising importance of distribution as a moat7. Being a model sommelier—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/why-companies-are-becoming-a-series—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Anish Acharya:• Andreessen Horowitz: https://a16z.com/author/anish-acharya/• LinkedIn: https://www.linkedin.com/in/anishacharya/• X: https://x.com/illscience• SoundCloud: https://soundcloud.com/illscience—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(02:25) The fear of AI creating a permanent underclass(05:25) Why AI takeoff may be slower than expected(08:02) How companies are actually adopting AI(11:25) Building AI products with loops(15:25) Why human intuition still matters(20:19) What the winners in AI are doing differently(21:41) Generalists vs. specialists(26:22) How to become a model sommelier(32:03) /loop make me happier(36:15) Why Anish is optimistic about the future of AI(42:47) What happens when models become too dangerous(46:29) How AI will change jobs and ambition(51:34) The state of consumer AI(54:30) How to build a durable moat in AI(59:25) The power of distribution and word of mouth(01:04:30) Making bigger bets and rethinking pricing(01:09:17) Advice for product builders in the AI era(01:11:48) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/why-companies-are-becoming-a-series—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

Jim Tevenan and James Lowe talk about the SSO's Labor Day concerts

Today we are talking about Drupal Performance, Rapid Development, and Drupal Canvas Maturity with our hosts. We'll also cover Microsoft 365 FullCalendar as our module of the week. For show notes visit: https://www.talkingDrupal.com/568 Topics Deprecating Module Theme Files Migrating Hooks to Classes Why This Change Matters Drupal Performance Gains Performance Audits and Lighthouse Automating Checks and Spreadsheet Rant AI Spreadsheet Cautionary Tale Privacy Concerns with AI Freelancer Pressure Rapid Change Reality Canvas Release Risks Community Support Needed AI For Documentation Canvas Production Readiness Canvas Architecture Debate AI For Voting Research LLM Bias And Sources Resources Rebrickable Webpagetest Lighthouse Tugboat Drupal canvas Guests Martin Anderson-Clutz - mandclu.com mandclu Hosts Nic Laflin - nLighteneddevelopment.com nicxvan John Picozzi - epam.com johnpicozzi Amber Matz - tugboatqa.com [amber himes matz](https://www.drupal.org/u/amber himes matz) MOTW Correspondent Martin Anderson-Clutz - mandclu.com mandclu Brief description: Have you ever wanted your users' own Outlook calendars to show up right alongside your Drupal content in a calendar view? There's a module for that. Module name/project name: Microsoft 365 FullCalendar Brief history How old: created just last month, August 19 2026, by fabianderijk of Finalist Versions available: 1.0.0, which works with Drupal 11 Maintainership Brand new — the first and only release is from last month, and the whole commit history is basically launch day Security coverage: brand new, so not yet Test coverage: yes, both unit tests and kernel tests Documentation: a genuinely thorough README — it walks through privacy, the config guard rails, and three different ways to customize event output Open issues: none yet, it's less than two weeks old Usage stats: Too new for a site count Module features and usage With this installed, it adds the signed-in user's Microsoft 365, or Outlook, calendar as an extra event source on a FullCalendar view — so their personal appointments sit right next to the Drupal content the view already renders It leans on the Microsoft 365 Connector module and its SSO submodule, plus the FullCalendar module. Each user must have signed in through Microsoft 365 SSO: anyone who hasn't just sees no events, which is a clean fallback It uses lazy loading, so it only fetches events in the date range the calendar is currently showing, not your whole calendar Privacy is baked in: anything marked private or confidential in Outlook is masked, so it shows up as just "Busy", with no title, location, or meeting link, unless the site builder deliberately turns masking off The response itself is per-user and marked private, no-store, so it never lands in a shared or CDN cache There's a clever server-side cache too: it stores the raw Graph response before masking, so a single fetch can serve several displays that each have different masking settings You get guard rails you can tune with Drush or an admin form: max events, max date range, cache lifetime, and a separate, shorter failure cache That failure cache is a nice touch — if there's no active Microsoft session, or Graph errors out, it caches the empty result briefly so a broken connection doesn't get re-polled on every single calendar click Under the hood it calls Graph's calendarView endpoint rather than /me/events, which means recurring meetings get expanded into their individual occurrences — exactly what a calendar grid needs Every event carries CSS classes for its status — busy, free, tentative, out-of-office, working elsewhere, cancelled — so you can style them however you want And if CSS isn't enough, there's a server-side alter hook and a JavaScript pre-build event for fully custom rendering. Nice detail: the hook is explicitly guarded so you can't use it to put back a title or location that masking just stripped out Clearly this will be more useful for edge cases, for example an intranet, but I think this is a really interesting example of the power of Drupal as an integration layer, or as some like to put it, the "glass" through which a user can interact with multiple systems

My guest today is Sarah Guo, founder and managing partner of Conviction, the venture firm she built to back AI-native companies from their earliest days.  Sarah has become one of the most sought-after early-stage investors in AI, often the first check into the companies defining the frontier.  In this conversation, we go inside that frontier: what the small group of people actually building AI believe right now, why some of the field's best researchers are wrestling with their own sense of purpose, and how close we are to robots in the home and a genuine acceleration in scientific discovery.  At the center is Sarah's conviction that no single company will own the future of AI, and what that means for founders, investors, and anyone allocating their time and resources in a world moving this fast. Our managing editor Dom Cooke wrote a profile of Sarah for Colossus, "Sarah's Wager," on how she built the firm closest to the AI frontier and why she's now betting against its biggest companies.  Please enjoy this conversation with Sarah Guo. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like the Best (00:02:16) Investing Without a Backtest (00:03:31) The AI Wager (00:06:16) Building the Best Investment Firm (00:08:37) Finding Non-Obvious AI Opportunities (00:11:00) The Frontier AI Talent Race (00:13:50) Compute as the Constraint (00:19:10) The Future of Robotics (00:22:15) Making Investment Decisions (00:26:13) How Sarah Spends Her Time (00:28:15) Raising a Venture Fund (00:30:49) Lessons From Her Parents (00:34:38) The Case for Open Source AI (00:39:01) Abundant Intelligence Isn't Inevitable (00:40:55) Compute Independence (00:43:14) Debates Inside Conviction (00:45:27) AI's Opportunity in Biology (00:48:58) Why Conviction (00:50:31) Finding Truth and Taking Risk (00:54:16) What Changes in the Next Year (00:56:46) The Kindest Thing

Tara Seshan leads product for Codex and ChatGPT Work at OpenAI (alongside previous podcast guest Andrew Ambrosino, who's her engineering manager). Before OpenAI, Tara spent over six years at Stripe, where she joined as one of the first five product managers. She went on to lead product for Watershed, which Time magazine named one of the best inventions of 2022, and she is also a founder and Thiel Fellow. Most personally meaningful to me: Tara is one of the three inaugural Lenny's Newsletter Fellows, a program I ran a couple of years ago to spotlight the most exciting up-and-coming product leaders.In our in-depth conversation, we discuss:1. The shift from “rowing” to “steering,” and why human judgment and ambition will become differentiators as AI takes on execution2. How OpenAI thinks about building for model capabilities two to three months out3. OpenAI's best internal memes, such as “Is this maximally accelerated?” and “Are you mainlining it yet?”4. Why ambition is the new bottleneck for companies, and why elevating others' ambitions is now the key part of the PM job5. Writing as thinking vs. writing as reporting—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Tara Seshan:• X: https://x.com/tarstarr• LinkedIn: https://www.linkedin.com/in/tarstarr• Newsletter: https://substack.com/@taraseshan—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(02:18) What makes OpenAI's culture so different(06:42) Why AI product strategy is all about fast experimentation(09:02) How the PM role is changing(10:50) The shift from rowing to steering(15:35) What changes when agents become coworkers(20:05) Why ambition matters more than ever(26:39) Building products for models that do not exist yet(29:21) How ChatGPT's Chat and Work modes differ(34:01) How OpenAI ships so quickly at scale(39:14) The vibe shift happening inside Codex(42:20) Why traditional roles are beginning to blur(45:59) Where humans will continue to provide unique value(48:20) How Tara uses AI in her own work(51:38) The magic of the /visualize command(52:39) Writing to think versus writing to report(57:10) How to use AI without losing your ability to think(01:00:15) Tara's biggest lesson from Sutter Hill(01:04:16) ChatGPT's site output(01:05:01) Why knowledge work is becoming more like coding(01:07:55) Lightning round and final thoughts—Referenced:• Codex: https://chatgpt.com/codex• ChatGPT Work: https://openai.com/chatgpt-work• Stripe: https://stripe.com• Watershed: https://watershed.com• Thiel Fellowship: https://thielfellowship.org• Meet your Lenny's Newsletter Fellows: https://www.lennysnewsletter.com/p/meet-your-lennys-newsletter-fellows• The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft: https://www.lennysnewsletter.com/p/the-rituals-of-great-teams-shishir• The nature of product | Marty Cagan, Silicon Valley Product Group: https://www.lennysnewsletter.com/p/the-nature-of-product-marty-cagan• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty• Patrick Collison's examples of fast projects: https://patrickcollison.com/fast• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Andrew Ambrosino on X: https://x.com/ajambrosino• Tyler Cowen's website: https://tylercowen.com• 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• “Chop wood, carry water” quote: https://buddhism.stackexchange.com/questions/15921/what-is-the-meaning-of-the-zen-quote-before-enlightenment-chop-wood-carry-wat• 4 questions Shreyas Doshi wishes he'd asked himself sooner | Former PM leader at Stripe, Twitter, Google: https://www.lennysnewsletter.com/p/shreyas-doshi-live• Alan Kay: https://en.wikipedia.org/wiki/Alan_Kay• Brie Wolfson on X: https://x.com/zebriez• The playbook for building high-talent-density teams | Adam Ward, Head of Talent at Cursor: https://www.lennysnewsletter.com/p/the-playbook-for-building-high-talent• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Sutter Hill Ventures: https://shv.com• Snowflake: https://www.snowflake.com• Mike Speiser on LinkedIn: https://www.linkedin.com/in/mikespeiser• Footnotes and Tangents: https://footnotesandtangents.substack.com• The Power Broker Book Club: https://www.robertcaro.org/copy-of-six-books-six-ny-times-book• The Odyssey: https://www.imdb.com/title/tt33764258• Rashomon: https://www.imdb.com/title/tt0042876• Akira Kurosawa: https://en.wikipedia.org/wiki/Akira_Kurosawa• Kevin Kwok on LinkedIn: https://www.linkedin.com/in/kevinakwok• The Work You Do, the Person You Are: https://www.newyorker.com/magazine/2017/06/05/toni-morrison-the-work-you-do-the-person-you-are• Ari Weinstein on X: https://x.com/AriX• Sky: https://sky.app• Dylan Field live at Config: Intuition, simplicity, and the future of design: https://www.lennysnewsletter.com/p/dylan-field-live-at-config—Recommended books:• Barbarian Days: A Surfing Life: https://www.amazon.com/dp/0143109391• Anna Karenina: https://www.amazon.com/Anna-Karenina-LEO-TOLSTOY/dp/8175993421• The Power Broker: https://www.amazon.com/dp/0394720245• War and Peace: https://www.amazon.com/War-Peace-Leo-Tolstoy/dp/8175992832• Wolf Hall: https://www.amazon.com/dp/0312429983—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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Iran-Linked Cyberattack Hits UK Power Facility, ShinyHunters Phish ReliaQuest, LockBit Claims US Bancorp, Teams Blocks Bots, Expired Visa Card Flaw Cyber Security Today host David Shipley reports a UK power facility was taken offline for four days in July by a cyberattack linked to Iran Nexus hackers, though damage was contained to a single small generator. ReliaQuest confirms ShinyHunters targeted its staff with phone-based social engineering and a fake reliaquest.claims SSO page, gaining only temporary view-only Okta dashboard access before being blocked by device trust controls, with no customer data affected.  LockBit claims it hacked US Bancorp, but the bank says the incident traces to a fourth-party contractor outside its environment and LockBit has provided no proof. Microsoft is rolling out a Teams policy to automatically block detected external bots from meetings. UMass Amherst researchers found some expired Visa cards can be "zombified" for contactless payments via a two-phone relay, depending on issuer and bank checks. 00:00 Top Headlines 00:26 Iran Linked Power Attack 01:44 ShinyHunters Targets ReliaQuest 04:16 LockBit Claims Bank Hack 05:46 Teams Blocks External Bots 07:42 Expired Visa Card Zombie 09:25 Closing Notes Tribute

My guest today is Neil Movva, founder of Sail. Sail is building what Neil calls a token factory, an inference company designed for a specific kind of future, one where AI agents run in the background for hours or days at a time rather than answering a human in real time.  In that world, latency matters less and cost matters more, and Neil has built the whole company around driving the cost of a token as low as it can possibly go. What makes this conversation special is that it is one of the most detailed tours I have ever done through the full stack of intelligence, the software, the chips, and the power, and how all three connect.  Along the way we cover the trade-off between speed and cost that lives inside every GPU, his scavenger strategy for buying the chips and power nobody else wants, his contrarian view on Nvidia, and why the premium the frontier labs charge for being three to six months ahead may not last.  Please enjoy my conversation with Neil Movva. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:20) Neil Movva (00:03:22) Building a Token Factory (00:05:32) The Rise of Long-Running Agents (00:08:47) Deep Research and Cybersecurity (00:15:12) The Full Stack of Intelligence (00:20:03) Throughput Versus Latency (00:24:58) The Future of AI Chips (00:33:19) Why Transformers Work (00:36:43) The Future of Data (00:44:05) The Market for AI Chips (00:47:56) Is the AI Boom Different? (00:51:08) Reinventing the Data Center (00:56:43) Scavenging Power (01:01:04) Where Compute Is Most Inefficient (01:07:02) Open Versus Closed Models (01:10:37) A Trillion Tokens a Day (01:12:42) The Contrarian Case on NVIDIA (01:14:38) Advice for AI Hardware Founders

Jen Abel is the co-founder of JJellyfish and GM of enterprise sales at State Affairs. She is widely regarded as one of the sharpest practitioners in enterprise sales, and for that reason, this is her third visit to the podcast. In our first conversation we went deep on founder-led sales; in our second we mapped the $1M–$10M playbook. This time we do something I've never seen on another podcast: walk step by step through the full enterprise sales cycle. Most people think it's five steps. Jen shows it's closer to 15.In our in-depth conversation, we discuss:1. Why the standard five-stage CRM pipeline is a forecasting tool, not a sales process, and what the real 15-step cycle looks like2. The “pincer model” for landing the first meeting at the executive and N-minus-one level simultaneously3. How to craft a two-to-three-sentence message around giving them “alpha”4. How to run an intro call that extracts maximum intelligence before you ever show a demo5. The two-to-three-day pilot structure, how to define success jointly, and when to charge for a longer pilot versus giving it away6. Navigating pricing, procurement, redline negotiations, and the final signature without losing momentum—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Jen Abel:• X: https://x.com/jjen_abel• LinkedIn: https://www.linkedin.com/in/earlystagesales• Website: https://www.jjellyfish.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(02:49) Why Jen is giving away her enterprise sales playbook(05:54) Example: selling AI legal tech to SpaceX(09:11) Step 1: Landing the meeting(18:44) Step 2: Running the intro call(30:00) Step 3: Running a follow-up call(36:30) Step 4: Prepping the pitch/frame for demo(38:36) Step 5: Running the demo(46:45) Step 6: Post-demo debrief(48:59) Step 7 through 9: Preparing for and running the pilot(01:03:44) Why the standard five-stage CRM pipeline doesn't work(01:04:49) Step 10: Post-pilot session(01:07:48) What a healthy enterprise win rate looks like(01:11:45) Steps 11 through 14: Navigating procurement and getting the signature(01:18:01) How to think about expansion(01:19:18) How buyers can say no without wasting everyone's time(01:21:53) Why enterprise sales is a lot like product management(01:22:27) Closing thoughts—Referenced:• State Affairs: https://stateaffairs.com• The ultimate guide to founder-led sales | Jen Abel (co-founder of JJELLYFISH): https://www.lennysnewsletter.com/p/master-founder-led-sales-jen-abel• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• SpaceX: https://www.spacex.com• Lemlist: https://www.lemlist.com• Palantir: https://www.palantir.com• Jason Lemkin on X: https://x.com/jasonlk• We replaced our sales team with 20 AI agents—here's what happened | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/we-replaced-our-sales-team-with-20-ai-agents• Building a world-class sales org | Jason Lemkin (SaaStr): https://www.lennysnewsletter.com/p/building-a-world-class-sales-org• Careers at State Affairs: https://stateaffairs.com/careers—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

My guest today is Ben Thompson, the founder and author of Stratechery. Ben is one of my favorite business thinkers and I love talking to him about everything happening in markets and technology.  We go through every important company, including OpenAI, Nvidia, Intel, Apple, Microsoft, Google, and Amazon. We also discuss why he thinks it would be dangerous for the United States to win the AI race outright, what container shipping and the railroads of the 1870s tell us about the buildout, and why the binding constraint on all of this may be capital rather than compute.  Please enjoy my conversation with Ben Thompson. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:16) Winning the AI Race With China (00:08:28) Timing, Capital, and the Railroads (00:11:34) Berkshire, Google, and Absolute Profits (00:14:23) Verifiable and Unverifiable Domains (00:20:20) Aggregation Theory in the AI Era (00:22:06) The Real Cost of Inference (00:25:40) Why Consumer AI Needs Advertising (00:30:08) Compute Shortages and Commodity Markets (00:35:46) Memory Cycles and Boom Bust Dynamics (00:42:08) TSMC, Intel, and Where Risk Goes (00:44:51) The Best Setups in Big Tech (00:52:14) The Frontier Model Contenders (00:54:27) Microsoft's IBM Playbook (01:00:45) Meta, Attention, and Advertising (01:07:29) NVIDIA, Commodities, and Power

Monongalia County Sheriff Todd Forbes on the School Safety Officer program (SSO) and school bus safety. Chairman of the Monongalia County Republican Party Executive Committee Dale Spark on the Reagan Dinner Friday, September 25 and the Morgantown Marriott at Waterfront Place

Ian Silber is the head of product design at OpenAI, where he has led the design of ChatGPT, Codex, and all of OpenAI's product experience for the past three years. Before OpenAI, he was at Artifact, the AI-powered news app built by the founders of Instagram. Prior to that, he spent eight years at Instagram, where he worked on products including Reels. Ian is one of the most consequential designers working in AI today, and he takes us inside how OpenAI designs ChatGPT, Codex, and the future of how we will interact with AI.In our in-depth conversation, we discuss:1. Why Ian believes this is the best time in history to be a product designer2. Why engineers 10x'd with AI but design teams haven't3. What OpenAI looks for when hiring designers4. “Just do less”: Ian's counterintuitive advice to his designers5. The future of ChatGPT as a super app6. Where humans still win: user understanding, invention, and point of view—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Ian Silber:• X: https://x.com/iansilber• LinkedIn: https://www.linkedin.com/in/iansilber• Website: https://iansilber.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 Ian Silber(02:14) Why designers in general feel anxious about AI(09:01) What makes specific designers thrive in the AI era(13:41) Why Ian says it's the best time in history to be a designer(17:13) How product roles are converging(22:24) Can AI design great products?(23:54) Where human judgment still matters(27:34) What Ian looks for when hiring designers(30:20) Why systems thinking matters(32:53) Balancing speed and craft(38:05) Designing for vastly different audiences(41:57) Solving the blank-box problem(43:31) How ChatGPT is evolving beyond chat(46:07) The vision for Codex(49:07) What Ian wishes he knew on day one(51:40) Why humility matters in AI(53:41) Advice for designers who are feeling overwhelmed(55:16) AI corner(57:43) Failure corner(01:00:45) Lightning round and final thoughts(01:05:52) Lessons from Groupon—Referenced:• OpenAI: https://openai.com• How tech workers are feeling in 2026: a workforce splitting in two: https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026• Marc Andreessen: The real AI boom hasn't even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom• 3 Spiderman Pointing meme template: https://www.kapwing.com/explore/3-spiderman-pointing-meme-template• OpenAI Codex lead on the new shape of product work | Andrew Ambrosino: https://www.lennysnewsletter.com/p/openai-codex-lead-on-the-new-shape• Notion: https://www.notion.com• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• Joel Lewenstein on LinkedIn: https://www.linkedin.com/in/joel-lewenstein• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• ChatGPT Work: https://openai.com/chatgpt-work• 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• Please Stop the AI Confidence Theater: https://www.elenaverna.com/p/please-stop-the-ai-confidence-theater• The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth): https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna• Maybe Happy Ending: https://www.maybehappyending.com• The Invite: https://www.imdb.com/title/tt14173636• Rivian: https://rivian.com• Waymo: https://waymo.com• Groupon: https://www.groupon.com• How a VC and a tech founder used AI to launch a brick-and-mortar business in their spare time | Andrew Mason (CEO of Descript) and Nabeel Hyatt (General Partner at Spark Capital): https://www.lennysnewsletter.com/p/how-a-vc-and-a-tech-founder-used• Andrew Mason on X: https://x.com/andrewmason• Kevin Systrom on LinkedIn: https://www.linkedin.com/in/kevinsystrom• Sam Altman on X: https://x.com/sama—Recommended book:• The Design of Everyday Things: https://www.amazon.com/dp/0465050654—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

My guest today is Eric Vishria, a General Partner at Benchmark.  Eric has spent his career in software and cloud, and few people know the history of these markets as well as he does. What makes him special is his ability to use that history to make sense of today.  We discuss what the rise of AWS teaches us about AI, what he has learned from investing in Fireworks, Sierra, and Cerebras, and how the criteria for winning have changed for founders and investors.  Please enjoy my conversation with Eric Vishria. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:20) Learning the World Through Fireworks (00:05:42) AWS Was Going to Eat Everything (00:07:40) The Zero-Sum Thinking Trap (00:09:01) Comparing Cloud and AI Adoption (00:11:03) Becoming Enterprise's AI Sherpa (00:13:05) Building Sandcastles (00:14:55) The Return to Being Technical (00:17:13) The Shifting Competitive Frontier (00:22:10) Why the Old Playbook Fails (00:27:53) Energy as the Binding Constraint (00:29:38) The Cerebras Story (00:37:57) The Virtue of Productive Naivete (00:39:19) What Robotics Still Needs (00:45:58) What Makes a Great Board Partner (00:51:13) Raising A Growth Fund (00:55:39) What the Big Winners Taught Him (00:57:37) Hard Work Versus the Hole-in-One (00:58:38) The Best Reasons to Go Public (01:01:09) Debates Inside Benchmark (01:02:16) What If It All Works (01:03:35) What Geoff Hinton Got Wrong

Adam Ward is the Head of Talent at Cursor, one of the fastest-growing developer tools in history. Before joining Cursor, he founded Growth by Design, an independent recruiting and talent strategy firm that helped build teams at the most ambitious AI and technology companies in the world. Adam has spent more than 20 years building elite, high-talent-density teams across the industry and is widely regarded as one of the most effective and creative recruiters in tech.In our in-depth conversation, we discuss:1. Inside today's “tale of two cities” talent market2. Why the traditional recruiting funnel—what Adam calls the “funnel of doom”—leads to mediocre hires3. Adam's three-step playbook: scoping, mapping, and relentless pursuit4. The worst question to ask when sourcing great talent5. The rise of the forward deployed engineer—and how to become one6. The biggest mistake founders make when hiring their first recruiter—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Adam Ward• X: https://x.com/wardadamp• LinkedIn: https://www.linkedin.com/in/adampward—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(03:01) The state of the hiring market(06:41) What roles are trending up and what roles are trending down(11:25) The three-step hiring framework that changes everything(21:58) Getting the right people to actually respond(25:42) Keeping talent a top priority(29:16) Inside Cursor's recruiting operation(32:19) How to relentlessly pursue top talent(35:42) “Caring is free”(38:33) The conversation most companies underestimate(39:19) Rethinking the atomic unit of a search(40:12) Other recruiting tactics(45:04) What the on-site is really for(49:35) The importance of work trials(53:10) The offer stage(57:53) Negotiations and comp(01:01:50) The details that actually close the deal(01:07:23) What it's like working with an exec team who values recruiting(01:09:42) Talent density(01:11:18) The first recruiting hire most founders get wrong(01:15:00) Building incredible teams(01:18:12) The time between offer and acceptance(01:19:48) What's next for the recruiting function(01:21:00) Lightning round—Referenced:• Cursor: https://cursor.com• Trilogy: https://trilogy.com• Brie Wolfson on LinkedIn: https://www.linkedin.com/in/brie-wolfson-17758724• Inside Cursor: https://colossus.com/article/inside-cursor• SpaceX: https://www.spacex.com• Joe Gebbia's website: https://joegebbia.com• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• The Pitt on HBO Max: https://www.hbomax.com/shows/pitt-2024/e6e7bad9-d48d-4434-b334-7c651ffc4bdf• The Bear on Hulu: https://www.hulu.com/series/the-bear-05eb6a8e-90ed-4947-8c0b-e6536cbddd5f• Granola: https://www.granola.ai• Wispr Flow: https://wisprflow.ai• 11 products I love, free for a year—the biggest Product Pass expansion in 2 years: https://www.lennysnewsletter.com/p/productpass-summer2026launch• How to debug a team that isn't working: the Waterline Model: https://www.lennysnewsletter.com/p/how-to-debug-a-team-that-isnt-working• The high-growth handbook: Molly Graham's frameworks for leading through chaos, change, and scale: https://www.lennysnewsletter.com/p/the-high-growth-handbook-molly-graham—Recommended books:• Emotional Intelligence: Why It Can Matter More Than IQ: https://www.amazon.com/dp/055338371X• High Growth Handbook: Scaling Startups from 10 to 10,000 People: https://www.amazon.com/High-Growth-Handbook-Elad-Gil/dp/1732265100• Scaling People: Tactics for Management and Company Building: https://press.stripe.com/scaling-people—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

Hackers don't break in — they log in. That's the refrain cybersecurity researcher, TED speaker, and self-described friendly hacker Keren Elazari keeps coming back to, and it sets the tone for a conversation that cuts through a lot of the current AI hype. Host Raghu Nandakumara sits down with Keren to talk about why, despite the constant headlines about AI-discovered zero-days and autonomous attack tools, the overwhelming majority of real-world breaches still come down to the same fundamentals: stolen credentials, unpatched known vulnerabilities, and social engineering. Keren points to Verizon's DBIR data showing that over 80% of web-facing attacks are credential-based, and to the CISA KEV catalog, where under 30% of known exploited vulnerabilities are even patched — numbers that make the "AI supercharges vulnerability discovery" conversation feel a little beside the point. The two dig into what Keren calls the widening asymmetry between attackers and defenders: AI is getting good at finding vulnerabilities and writing exploits, but not nearly as good at patching them or getting fixes into messy, real-world production environments. She describes AI as "a time machine for attackers" — compressing weeks of reconnaissance and tooling into hours — and argues defenders need that same acceleration applied to mitigation and containment, not just detection. The conversation also covers: Shiny Hunters' evolving social engineering playbook — from impersonating employees to get help desks to reset access, to now impersonating the help desk itself to harvest credentials via fake SSO resets, SIM swapping, and deepfake voice tools The GTG-1002 incident referenced in Anthropic's late-2025 report, where a nation-state actor used an AI model as an active accomplice in an orchestrated attack, and why Keren thinks the sophistication was in AI-driven orchestration, not novel exploit creation Shadow AI as a new attack surface, using the rapid, often misconfigured spread of local "Open Claw" installations (many left listening on all ports) as a cautionary example Jade Puffer, an early example of agentic, largely human-out-of-the-loop ransomware, and why Keren wasn't surprised given how much ransomware groups already reinvest in R&D A malicious-package incident on Hugging Face, and the broader pattern of attackers targeting trusted open-source "watering holes" like GitHub and model/skill hubs Keren closes out by introducing her reframed security fundamentals — Identity, Visibility, and Containment (IVC) in place of the classic CIA triad — and makes the case for "proactive paranoia": preparing for breaches before they happen rather than scrambling once they do. She and Raghu wrap with a shared hard truth: for all the AI conversation, security is ultimately about serving the humans on both sides of the equation, including the fact that attackers are humans too, and often know an organization's environment better than its own defenders do. Stay connected with our host Raghu on LinkedIn For more information about Illumio, check out our website at illumio.com

My guest today is Gavin Baker, founding partner and CIO of Atreides Management. This is our seventh conversation, and just two months after Gavin's last appearance. It's about the gap between what the market is doing and what companies are seeing. It's been a tough month or so for public AI names, but there's no sign of a slowdown on the ground in Silicon Valley. We discuss the latest moves, contracted vs. spot GPU prices, the game theory of memory supply agreements, and why Claude has become the Walter Cronkite of the stock market. We close on SpaceX, orbital compute, and what Gavin sees as the single biggest risk to all of it. Please enjoy this conversation, from the famous table at Benchmark, with my friend Gavin Baker. For the full show notes, transcript, and links to mentioned content, check out the episode page here. ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at colossus.com/subscribe. ----- Ramp's mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to ramp.com/invest to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, Vanta continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to vanta.com/invest.  ----- WorkOS is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- Ridgeline has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit ridgeline.ai. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:35) First Question: July Was 2022 in a Month (00:04:08) The Private Companies Public Markets Can't See (00:05:06) Old GPUs Repricing Higher (00:06:53) Walking Through the Month (00:08:22) Kimi, GLM 5.2 & the Open Source Freak-Out (00:10:51) Real Yields, Spreads & CDS (00:11:54) Does the Build-Out Need Credit? (00:15:22) A Sell-Off With No Clear Villain (00:17:35) Open Source as Dark Matter (00:18:39) Nvidia's Lowest Forward PE in 10 Years (00:21:35) Claude as Walter Cronkite for the Stock Market (00:23:55) Continual Learning & Sample Efficiency (00:25:19) What Would Actually Scare Him (00:26:38) Routers & the Multi-Model Future (00:30:51) Tokens as a Percent of Comp Spend (00:33:37) The Game Theory of Breaking an LTA (00:36:41) Nvidia's Credit Wrapper & Revenue Share (00:37:45) What He'd Do If He Ran Hynix (00:41:46) Who's More Bullish than Him (00:43:28) China's DUV Machine (00:46:10) Bull Case for Software (00:48:16) The RSI Maximalist View (00:49:31) Inference Clouds Growing Without Burning Cash (00:50:35) The Biggest Risk Is Regulation (00:53:44) Telling the Story Better (00:57:15) Dark Horses (00:58:02) SpaceX in the Public Markets

Tom Verrilli is the chief product officer at Whatnot, a live shopping platform that's become the fastest-growing U.S. marketplace business in history, with over $8 billion in GMV. Before joining Whatnot, Tom was CPO at Twitch and director of product growth at Twitter (during one of the most turbulent periods in the company's history).In our in-depth conversation, we discuss:1. Why Whatnot's product team was founded on the premise “we regret that product management exists”2. How AI is reshaping the PM role3. What Tom looks for when hiring PMs4. The shift toward senior ICs doing the work5. How AI has transformed data science at Whatnot6. Tom's “play the accordion” mental model7. Why “hire great people and get out of their way” fails8. His biggest lessons from his time at Twitter—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/this-cpo-regrets-that-product-management—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Tom Verrilli:• X: https://x.com/tdrobbo• LinkedIn: https://www.linkedin.com/in/tom-robertson-042—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(02:40) “We regret that product management exists”: what it means and why(08:30) When specialization makes sense, and when it doesn't(15:20) How Whatnot structures its PM org(17:28) What 31,832 PM applications revealed about the function(19:40) How to develop systems thinking(22:10) The shift to senior ICs doing IC work(32:26) Advice for PMs struggling in today's market(35:22) How AI has transformed work at Whatnot(41:14) The data scientist problem(42:48) Which roles are trending up and down(44:48) What the product team of the future looks like(46:29) Why core PM skills are the most durable in an AI world(49:23) How to get the most out of the people you hire(53:32) Navigating the CPO-founder relationship(57:34) Advice for aspiring CPO's(59:16) How to know when to stand firm and when to step back(01:01:38) Play the accordion: balancing strategic vision with fast iteration(01:06:35) Agentic commerce vs. live commerce(01:09:46) Lessons from Twitter(01:13:07) Failure corner(01:15:45) Lightning round and final thoughts—Referenced:• Whatnot: https://www.whatnot.com• Building, and Whatnot: https://www.linkedin.com/pulse/building-whatnot-tom-verrilli-bwkdc• Twitch: https://www.twitch.tv• Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO): https://www.lennysnewsletter.com/p/netflix-cpto-on-ai-and-the-future• Peter Bailis on LinkedIn: https://www.linkedin.com/in/pbailis• Mike Krieger on LinkedIn: https://www.linkedin.com/in/mikekrieger• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Ben Kus on LinkedIn: https://www.linkedin.com/in/benkus• Henry Shi on LinkedIn: https://www.linkedin.com/in/henrythe9th• Hex Threads: https://hex.tech/product/threads• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty• Grant LaFontaine on LinkedIn: https://www.linkedin.com/in/grantlafontaine• Logan Head on LinkedIn: https://www.linkedin.com/in/logan-head• Emmett Shear on LinkedIn: https://www.linkedin.com/in/emmettshear• Kara Swisher on X: https://x.com/karaswisher• Jeff Bezos: Amazon and Blue Origin—Lex Fridman Podcast: https://www.youtube.com/watch?v=DcWqzZ3I2cY• Star City on AppleTV+: https://tv.apple.com/us/show/star-city/umc.cmc.2l8p785osmtmiyk64bh6tfde1• For All Mankind on AppleTV+: https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7• Service NSW Mobile App: https://www.service.nsw.gov.au/services/service-nsw-mobile-app• Rudyard Kipling: https://en.wikipedia.org/wiki/Rudyard_Kipling• E-fish.com: https://www.e-fish.com—Recommended books:• The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers―Straight Talk on the Challenges of Entrepreneurship: https://www.amazon.com/dp/0062273205• The Purpose Driven Church: Every Church Is Big in God's Eyes: https://www.amazon.com/dp/0310201063• Babel: Or the Necessity of Violence: An Arcane History of the Oxford Translators' Revolution―An Historic Fantasy of Dark Academia: https://www.amazon.com/Babel-Necessity-Violence-Translators-Revolution/dp/0063021439—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

Seven Linux kernels landed in one day. We sort out which belong in your homelab, and trace Linux's long, occasionally disastrous quest for truly random numbers.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

My guest today is Sam Altman, CEO of OpenAI. It's a conversation spanning the history, present, and future of OpenAI, from the origin of ChatGPT through Codex, hardware, and their new Jalapeno chip. We discuss the early decision to buy compute at a scale nobody thought was rational, and the plan to build a gigawatt of new capacity every week.  We talk about Kimi and distillation, the Hugging Face incident and what it means for the pace of AI development, and what it's like to raise kids who will grow up never knowing a world without abundant intelligence.  Please enjoy my conversation with Sam Altman. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:02) Intro: Sam Altman, CEO of OpenAI (00:02:35) Refocusing (00:05:43) OpenAI's Compute Bets (00:09:07) Data Centers (00:11:14) Jalapeno Chip (00:11:52) Kimi, Distillation & Open Source (00:14:39) The Hugging Face Incident (00:17:46) OpenAI's Mission & Vision (00:22:14) All the Returns Are at the Frontier (00:22:27) Bottlenecks: Compute, Research, Data (00:23:49) Sam's View on AI & Jobs (00:26:56) Unpopular Bets That Turned Out Right (00:27:45) Model Cycles (00:29:45) How Sam Uses AI (00:32:44) Having Kids (00:34:56) Why Sam Has No Equity in OpenAI (00:35:33) Robotics (00:36:48) The Origin Story of ChatGPT (00:39:22) How to Get AI into More Hands (00:42:20) How Sam Recruited Great AI Researchers (00:43:57) What Sam Learned From Being an Investor (00:45:22) What the Next 6–36 Months Look Like (00:46:31) Codex (00:49:36) Could We Be Oversupplied in Compute in Two Years? (00:50:09) Sam's View on Scaling Laws (00:50:20) Alec Radford (00:51:12) Formative Moments (00:53:50) Kindest Thing

Most EdTech companies pitch schools before they understand how decisions get made inside them. School budgets are tight, sales cycles are long, and trust is hard to earn and easy to lose. In a market this crowded, the vendors who succeed are rarely the loudest ones. They are the ones who understand what a school leader is weighing before they ever pick up the phone.Smita Kolhatkar has sat on both sides of that equation. She spent 15 years in high tech before becoming an educator, and today she is Assistant Head for Innovation, Responsible AI and EdTech at Gideon Hausner Jewish Day School in Palo Alto. She evaluates new products constantly, built her school's AI Tinkery program to teach AI literacy from kindergarten up, and has a clear, specific list of what earns her trust and what ends a conversation before it starts.In this conversation, Smita walks through her actual buying process: the no-gos that end a pitch immediately, why conference expo halls still outperform months of email outreach, and why a single "no" from her can quietly close the door at several other schools too. It's a clear look at what that decision-making looks like from the other side of the table, for anyone marketing or selling into K-12.What You'll LearnThe specific deal-breakers that end a vendor conversation immediately, including SSO integration and cross-platform compatibilityThe buying signals that earn her attention, and the outreach habits that shut a conversation down fastWhy a single school leader's "no" often reaches ten other schools through her professional networkWhy conference expo halls remain one of her most valuable discovery channels, even in a digital-first marketWhy AI literacy needs to start at age five, and how her school's AI Tinkery program puts that into practiceHer take on the no-screens debate, and why treating EdTech as all-or-nothing misses the real question schools are askingWhy It MattersEdTech companies are working in one of the toughest sales environments in years: tighter budgets, longer sales cycles, and a market flooded with AI tools faster than schools can evaluate them. What Smita describes is not just one school's experience, it is a window into how school leaders across the country are making these calls right now. She is not only a buyer, she is a connector: when something works, it moves through her professional network, and when something falls flat, that travels just as fast. For EdTech marketers and sales teams, the lesson is that a sale is never just to one person. The trust built or lost in a single conversation compounds across an entire network of schools.Resources Mentioned in this Episode:Gideon Hausner Jewish Day SchoolThe K-8 school where Smita serves as Educational Technology and Innovation Director.AI Tinkery at HausnerThe maker-style AI lab Smita built for students to experiment hands-on with AI tools and concepts.AI Tinkery at Stanford GSEThe Stanford Graduate School of Education program that inspired Smita's AI Tinkery model, credited to Dr. Karin Forssell.Stanford Accelerator for LearningAn overview of the Stanford initiative behind the AI Tinkery framework.AI Quests and Day of AIA resource Smita references for structured AI literacy activities.Hour of AI A companion resource to Hour of Code, focused specifically on AI literacy."The Learning Frontier"Hausner's AI in Education confererence for educators.Smita Kolhatkar on LinkedIn

Dianne Penn is Head of Product for Anthropic's AI Research and Labs teams. She joined in 2023 as Anthropic's first technical product manager, when the entire product team was five engineers, and has since helped ship every model from Claude 2 through Fable, and helped incubate Claude Code, MCP, Skills, computer use, tool use, and reasoning. Before Anthropic, she helped build Alexa's AI at Amazon and, before that, traded high-yield bonds at JP Morgan Chase.In our in-depth conversation, we discuss:1. What Anthropic's early days were like2. The inflection points that turned Anthropic from an underdog into the fastest-growing company in history3. How exactly Claude got so good at coding4. The eval-driven development loop her team is pioneering5. How to find joy in AI when everything is moving this fast6. Why Claude's willingness to push back is key to its success7. Where human judgment remains irreplaceable—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/anthropics-first-technical-pm-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 Dianne Penn:• LinkedIn: linkedin.com/in/dianne-na-penn—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(02:31) Early Anthropic days(08:55) Big milestones(13:50) Inside the exponential(20:02) Token maxing(23:30) Anthropic Labs and the incubation model(27:30) How the research role works(31:35) How to become a top researcher(35:18) Frontier model safeguards(39:38) Hiring in the AI era(44:16) Building an eval set(47:48) Evals vs PRDs(49:55) The importance of hands-on leadership(52:46) Finding joy in AI(58:10) How Dianne uses Claude(01:01:05) Avoiding overreliance on AI(01:03:50) The constitution that makes Claude better(01:07:11) AI writing and verification(01:11:40) Where human brains will continue to be valuable(01:14:10) Navigating AI with kids(01:16:26) Alignment, the future of the PM role, and burnout(01:21:54) Lightning round and final thoughts—Referenced:• Anthropic: https://www.anthropic.com• Golden Gate Claude: https://www.anthropic.com/news/golden-gate-claude• Dario Amodei's website: https://darioamodei.com• Scaling Laws and Interpretability of Learning from Repeated Data: https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data• Tokenmaxxing: How Top Builders Use AI To Do The Work Of 400 Engineers: https://www.ycombinator.com/library/Pa-tokenmaxxing-how-top-builders-use-ai-to-do-the-work-of-400-engineers• Garry Tan on X: https://x.com/garrytan• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Introducing Labs: https://www.anthropic.com/news/introducing-anthropic-labs• Louis CK | about airplane Wi Fi: https://www.youtube.com/watch?v=me4BZBsHwZs• 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• The Anthropic Hive Mind: https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b• How to build a company that withstands any era | Eric Ries, Lean Startup author: https://www.lennysnewsletter.com/p/how-to-build-a-company-that-withstands• Fallout on Prime Video: https://www.amazon.com/dp/B0CN4GGGQ2• Fallout (video game): https://fallout.bethesda.net• Claude Tag: https://www.anthropic.com/news/introducing-claude-tag—Recommended books:• Crucial Conversations: Tools for Talking When Stakes Are High: https://www.amazon.com/dp/0071771328• How to Raise an Adult: Break Free of the Overparenting Trap and Prepare Your Kid for Success: https://www.amazon.com/How-Raise-Adult-Overparenting-Prepare/dp/1627791779• Incorruptible: Why Good Companies Go Bad... and How Great Companies Stay Great: https://www.amazon.com/dp/B0FWZZBPZB—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

My guest today is Matthew Smith. Matthew is the founder and CIO of Chronometer Partners, which invests in energy, industrials, materials, power and utilities, and related infrastructure. For the last 18 months he and his team have modeled nearly every natural gas well, pipeline, and processing asset in the United States. He's reached a conclusion most of the market doesn't share.  Starting in 2028, AI data centers and LNG exports will need more gas than the country can produce and deliver. By his math, the US could exhaust its working natural gas storage by 2030. In his words, the upside risk to prices becomes unbounded and convex. We talk about why this was set in motion long before AI arrived, why the US can't just turn off exports, who wins and loses among producers, nuclear, solar, and the hyperscalers, and what he sees as the only long-term solution. Please enjoy my conversation with Matthew Smith. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- In June, Matthew wrote a letter to a small group of confidants laying out the full case behind his natural gas forecast. He has allowed us to publish it. You can read the full letter here. ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like the Best (00:02:02) Episode Intro: Matt Smith (00:03:33) The Conclusion After 18 Months (00:04:56) The Die Was Cast Before AI (00:07:24) Sizing AI's Gas Demand (00:09:33) Why Not Just Stop Exporting? (00:11:38) Is the Gas Even There? (00:13:53) The Timing Problem, Not Supply (00:15:15) Flow Versus Stock (00:19:10) What Slows Gas to Market (00:22:21) If Nothing Changes by 2030 (00:26:11) Could Prices Hit Twenty Dollars? (00:27:00) Gas Producers Poised to Win (00:28:54) Utility-Scale Solar's Windfall (00:30:08) What About Nuclear? (00:32:40) SMRs (00:34:29) The US Consumer Pays (00:36:37) Turbine Makers Building Too Late (00:37:57) Are Hyperscalers Exposed Too? (00:44:25) Kickstarting the Nuclear Build (00:46:20) Put Solar on Every Roof (00:46:52) Implications for the World (00:49:26) No One's Securing Supply (00:52:57) The Challenge for Energy CEOs

Jim McDonald and Jeff Steadman took the Identity at the Center podcast live at Identiverse 2026 in Las Vegas for a crowd-sourced game show called Majority Rules. Identity professionals competed in real time, picking answers to IAM and conference questions in a race to predict the majority. With a prize pool of over $5,000 for the top ten scorers, the stakes were high and the honesty was brutal. The episode also marks a milestone: IDAC hitting two million downloads. Thanks to Shirley Han and the CyberRisk Alliance team, and to sponsors Hyper, Red Block, SlashId, Rubrik, Stratacity, FusionAuth, Nexus, CrowdStrike, Hush Security, PlainId, RSM, and CyberRisk Alliance.Connect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at http://idacpodcast.com0:00 Introduction and Two Million Downloads Milestone1:00 Sponsor and Event Team Recognition3:00 How to Play Majority Rules4:00 Warm-Up Round Begins6:00 Battle Royale Mode Explained8:30 Decentralized Identity and the LDAP Reality10:30 Las Vegas Evening Entertainment11:30 Top Identity Trends at Identiverse 202612:30 Access Certification and the 4:55 PM Click13:30 Classic Vegas and Expo Hall Favorites14:50 PAM Strategies and the Post-it Note16:00 Conference Navigation and Footwear Survival18:00 Identity Log Monitoring Chaos19:30 Hallway Track Conversations20:30 Cloud Entitlements and Everyone Gets Root21:00 Sleep Habits at a Security Conference22:00 Business Cards in 202623:00 Legacy App Strategy and Thoughts and Prayers24:45 Las Vegas Dining Preferences25:30 Winners Announced and ClosingKeywords: IDAC, Identity at the Center, Jeff Steadman, Jim McDonald, Identiverse, Identiverse 2026, Majority Rules, live event, game show, IAM, identity and access management, decentralized identity, LDAP, SSO, PAM, privileged access management, cloud entitlements, ISPM, access certification, Las Vegas, cybersecurity, conference

New Windows zero-day, Coca-Cola's Fairlife hit by ransomware, and a core WordPress RCE David Shipley covers a new Windows zero-day disclosure from "Nightmare Eclipse" called LegacyHive, a local privilege escalation flaw in the Windows User Profile Service that could be weaponized despite a stripped-back public release, as Microsoft investigates and sets a Patch Tuesday record with 570 fixes including two exploited zero-days. Coca-Cola suspended U.S. production at its Fairlife dairy unit after a ransomware attack, with scope still being assessed and the Food and Ag ISAC warning the sector has seen about 205 attacks this year. Abbott faces two separate breach claims: ShinyHunters alleges vishing-led SSO compromise and massive data theft from legacy systems, while Shadowbytes claims access via LabCentral credentials, which Abbott disputes as non-sensitive. The episode also highlights Conti leak revelations about healthcare targeting and details a core WordPress bug chain (WP_2Shell) enabling unauthenticated RCE, now patched in 6.9.5 and 7.0.2. 00:00 Sponsor NordLayer 00:36 Headlines Preview 01:05 Windows Zero Day LegacyHive 03:35 Record Patch Tuesday 04:22 Fairlife Ransomware Shutdown 05:49 Abbott Dual Breach Probes 08:09 Conti Leaks Healthcare Cruelty 09:33 WordPress Core RCE WP 2Shell 11:29 Wrap Up And Listener Notes 12:06 Sponsor Message NordLayer

Elizabeth Stone is the Chief Product and Technology Officer (CPTO) at Netflix, where she oversees Engineering, Product, and Design. Since her first appearance on the podcast two years ago—which remained my second-most-popular episode for more than a year—she has expanded her role to lead product, in addition to engineering. Before Netflix, Elizabeth was VP of Science at Lyft, Chief Operating Officer at Nuna, an economist at Analysis Group, and a trader at Merrill Lynch.In our in-depth conversation, we discuss:1. Why “systems thinking” is now the most important skill she looks for2. How to manage the flood of AI-generated output without losing quality or signal3. How Netflix thinks about AI fluency as a universal expectation rather than a level-specific skill4. What “excellence as an operating system” means—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyMercury—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/netflix-cpto-on-ai-and-the-future—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Elizabeth Stone:• LinkedIn: https://www.linkedin.com/in/elizabeth-stone-608a754—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(02:25) AI and role confusion: the storming phase before the forming phase(07:36) How roles have changed in the past two and a half years(11:55) Will functions survive? The case for craft specialism(13:26) What Netflix is hiring more of—and less of(17:22) Why systems thinking is the rising skill across every function(20:20) Is the design process dead?(22:08) Skills trending down(28:33) AI fluency and Netflix's career ladder overlay(31:00) AI use cases beyond coding(35:12) Netflix's AI history(38:36) Excellence as an operating system(41:11) The pillars of the excellence OS(46:41) The keeper's test—and why it's mostly a positive conversation(50:21) Attracting top talent in the age of frontier AI labs(52:54) Junior talent, craft mastery, and the mentorship question(56:25) Where engineering goes in 5 to 10 years(59:45) The future of entertainment: beyond film and TV(1:02:18) AI in Hollywood: Netflix's creator-enablement position(1:06:15) Lightning round and final thoughts—Referenced:• How Netflix builds a culture of excellence | Elizabeth Stone (CTO): https://www.lennysnewsletter.com/p/how-netflix-builds-a-culture-of-excellence• Brian Chesky's new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• Claude Code: https://www.anthropic.com/product/claude-code• Claude Cowork: https://www.anthropic.com/product/claude-cowork• Netflix's “Keeper Test” and Why You Need It | Lorne Rubis: https://www.highlights.lornerubis.com/2015/08/the-netflix-keeper-test-and-the-courage-to-take-it• Innovation for Filmmaking, By Filmmakers: Why InterPositive Is Joining Netflix: https://about.netflix.com/en/news/why-interpositive-is-joining-netflix• InterPositive: https://weareinterpositive.com• Netflix Prize: https://en.wikipedia.org/wiki/Netflix_Prize• Quarterback on Netflix: https://www.netflix.com/title/81482895• The Bill Simmons Podcast on Netflix: https://www.netflix.com/title/82186214• Spencer Pratt on Instagram: https://www.instagram.com/spencerpratt• Salman Rushdie's Substack: https://salmanrushdie.substack.com• Remarkably Bright Creatures on Netflix: https://www.netflix.com/title/81911351• Eight Sleep: https://www.eightsleep.com• Tour de France: https://www.letour.fr/en—Recommended books:• Thinking in Systems: https://www.amazon.com/Thinking-Systems-Donella-H-Meadows/dp/1603580557• Into Thin Air: A Personal Account of the Mt. Everest Disaster: https://www.amazon.com/Into-Thin-Air-Personal-Disaster/dp/0385494785• Liar's Poker: https://www.amazon.com/Liars-Poker-Norton-Paperback-Michael/dp/039333869X—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

In this episode, Tyler demonstrates the Be My Eyes app for Mac. (Editor's Note: Be My Eyes is the parent company of AppleVis.)With Be My Eyes for Mac, you can use Be My AI to generate high-quality descriptions of visual content, such as screenshots, images stored on your Mac or its clipboard, and pictures taken using your Mac's camera. Topics covered in this demonstration include:Getting startedApp layoutApp keyboard shortcutsDescribing visual content and chatting with Be My AIChat historyEnabling and using the Be My Eyes Sharing extensionApp settingsBe My Eyes for Mac is free for personal use and can be downloaded from https://www.bemyeyes.com/be-my-eyes-for-desktop/.TranscriptDisclaimer: This transcript was generated by ‎Whisper Notes - Speech to Text, an AI-powered transcription app. It is not edited or formatted, and it may not accurately capture the speakers' names, voices, or content.Tyler: Hey AppleVissors, Tyler here, with a demonstration and walkthrough of BMIEyes4Mac. With BeMyEyes for Mac, you can use BMAI to receive high-quality descriptions of visual content right on your Mac. Like other BeMyEyes products, it's free to the consumer and can be downloaded from BMIES.com, link in the description. When you open it for the first time, you'll be prompted to sign in with your account e,ither with your email address or an SSO option like Apple, Facebook, or Google. After which you'll be asked to grant a few permissions needed for the app to function, and then you'll be presented with the interface, which in my opinion is slick and easy to use. And I'm demonstrate that now by opening BMIs on my Mac.VoiceOver: Applications window. BMI's application. Open. BMII quick actions selected tab.Tyler: Okay, so here we are in the Be My Eyes app. It landed on the Quick Actions tab, which appears to be selected. Five or left to orient to the window here.VoiceOver: Be my eyes.Tyler: Be my eyes and then fullVoiceOver: screen button.. Actions available And full screen,Tyler: minimize, close for just the windows control window controls and then just VO right.VoiceOver: Quick actions, selected tab.Tyler: Quick actions.VoiceOver: History tab.Tyler: History.VoiceOver: Tip. Get started with the my eyes button.Tyler: We have a tip and then if I want to dismiss that because I already know what I'm doing here, I'm gonna be right.VoiceOver: Dismiss tip button.Tyler: Dismiss screenshot command option s button. And here I am and a it has apparently interacted me with the describe with be my AI group. So if I press VOShift up arrow, VL left, we have the history tab, VO right, describe with my yacht group. Describe with be my AI.VoiceOver: Describe with my yacht group.Tyler: And that's the only thing in this interface. At least the top level of it. So I'm going to interact now with the OSH down arrow.VoiceOver: In described my AI group. Five items described with my AI. Command option S button.Tyler: Okay, that's screenshot, command option S.VoiceOver: Image. Command option I button.Tyler: Image, command option…

Today my guest is John Kim. John is one of the world's top and most prolific fundraisers.  He was chief client officer at General Catalyst, where he helped raise many of the firm's flagship funds. He is now chairman and president of corporate development at Lila Sciences, a company building scientific superintelligence, where he has helped raise several hundred million dollars.  He is also the author of The Tao of Fundraising.  This conversation is really a guide on how to raise money from someone who has done it at the highest level. We talk about why persuasion equals desire minus fear, the difference between belief and trust, the laws of fundraising, and how to build the consensus that moves big pools of capital.  Please enjoy my conversation with John Kim. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:02) Introduction of John Kim (00:02:39) Money Moves at the Speed of Trust (00:05:06) How to Start a Fundraising Campaign (00:08:03) Persuasion Equals Desire Minus Fear (00:12:20) How to Raise a Few Billion Dollars (00:15:58) The Benchmark Story (00:18:36) The Law of Differentiation (00:24:13) Law of Tradeoffs and Law of Pipeline (00:27:52) The Karpman Drama Triangle (00:30:42) Oprah Winfrey (00:33:49) Most Common Fundraising Mistakes (00:38:35) Secretary of State (00:45:40) The Inner Game (00:47:38) The Kindest Thing

Noam Segal is a longtime research leader across Airbnb, Meta, Twitter, Zapier, Intercom, and Figma, a certified coach, AI builder, and my community research lead. Together, we run the annual Tech Worker Sentiment Survey, now in its second year and one of the largest of its kind: a quantitative study of how people in tech actually feel about their jobs, AI, burnout, and the future of their careers. This year's survey captured responses from thousands of workers across product, engineering, design, research, marketing, data, and sales, and the results are striking.In our in-depth conversation, we discuss:1. Why AI has split the tech workforce almost exactly in half—one half that's thriving, another that's shaken2. The four emotional archetypes defining tech workers right now (the Energized, the Conflicted, the Disoriented, and the Resentful)3. Why burnout has jumped an alarming 11 points in a single year4. Why nobody in tech would recommend their job to someone entering the industry today5. The #1 fear in tech right now (it's not job loss to AI)6. Why managers are the single biggest lever for employee well-being7. Concrete advice for what employees and leaders can do right now—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lennyMercury—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/how-tech-workers-actually-feel-about—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Noam Segal:• X: https://x.com/noamseg• LinkedIn: https://www.linkedin.com/in/noamsegal—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 Noam Segal(02:34) About the survey: methodology and scope(06:04) The core finding: AI has split the tech workforce in half(13:03) The AI identity stance(14:40) The four archetypes: Energized, Conflicted, Disoriented, Resentful(19:35) Burnout is surging (and why shipping faster is making it worse)(22:53) A glimmer of hope(24:55) Layoff worries(29:15) The career recommendation NPS score(36:45) The ladder metaphor: rungs disappearing beneath our feet(45:14) AI is making us faster, not better(52:53) The #1 fear: being squeezed to do more for the same pay(55:55) The emotional landscape and “smiling exhaustion”(01:01:02) Designers and researchers: the most negative group two years running(01:06:27) Who's happiest(01:12:18) Managers: the single biggest lever on well-being(01:18:47) The industry is “chaotic”(01:24:53) What employees and leaders can do right now(01:31:32) AI guilt and closing thoughts—Referenced:• How tech workers are feeling in 2026: a workforce splitting in two: https://www.lennysnewsletter.com/p/how-tech-workers-are-feeling-in-2026• How tech's most resilient workers handle burnout: https://www.lennysnewsletter.com/p/how-techs-most-resilient-workers• Please stop the AI Confidence Theater: https://www.elenaverna.com/p/please-stop-the-ai-confidence-theater• Velocity over everything: How Ramp became the fastest-growing SaaS startup of all time | Geoff Charles (VP of Product): https://www.lennysnewsletter.com/p/velocity-over-everything-how-ramp• NPS Is The Worst: https://www.npsistheworst.com• The Terminator: https://www.imdb.com/title/tt0088247• Skynet: https://terminator.fandom.com/wiki/Skynet• Inside Devin: The world's first autonomous AI engineer that's set to write 50% of its company's code by end of year | Scott Wu (CEO and co-founder of Cognition): https://www.lennysnewsletter.com/p/inside-devin-scott-wu• Devin: https://devin.ai• An AI state of the union: We've passed the inflection point, dark factories are coming, and automation timelines | Simon Willison: https://www.lennysnewsletter.com/p/an-ai-state-of-the-union• Redeploying Fable 5: https://www.anthropic.com/news/redeploying-fable-5• Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/why-half-of-product-managers-are-in-trouble• Inside Linear: Building with taste, craft, and focus | Karri Saarinen (co-founder, designer, CEO): https://www.lennysnewsletter.com/p/inside-linear-building-with-taste• Building beautiful products with Stripe's Head of Design | Katie Dill (Stripe, Airbnb, Lyft): https://www.lennysnewsletter.com/p/building-beautiful-products-with• The design process is dead. Here's what's replacing it. | Jenny Wen (head of design at Claude): https://www.lennysnewsletter.com/p/the-design-process-is-dead• OpenAI Codex lead on the new shape of product work | Andrew Ambrosino: https://www.lennysnewsletter.com/p/openai-codex-lead-on-the-new-shape• Elon Musk: ‘Chances are we're all living in a simulation': https://www.theguardian.com/technology/2016/jun/02/elon-musk-tesla-space-x-paypal-hyperloop-simulation—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

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 generalists2. The rise of the “product staff” role—a blending of PM, design, data science, and research into one generalist operator3. Why Adam is bullish on designers even as functional boundaries dissolve, and which roles are most at risk4. What the Instagram algorithm knows about you, and why it's only now catching up to what people assumed it knew years ago5. 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 world6. 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/lennyMercury—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• Threads: https://www.threads.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

My guest today is Jeremy Giffon.  Jeremy has been on the show before as one of our most popular guests, and this conversation is every bit as enjoyable as the first. Over the last 18 months, Jeremy has had hundreds of conversations with founders and with the capital behind their companies. I don't know many investors with such a high rep count in the most interesting corners of private markets, so I asked him what he has learned. We talk about what those lessons mean for founders and investors, why everyone has become subservient to the poster class, the hidden intellectual history behind Silicon Valley and much more. Please enjoy my conversation with my friend, Jeremy Giffon. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:02) Jeremy Giffon (00:02:34) Lessons from 18 Months of Founder Conversations (00:07:01) The Billion-Dollar PDF (00:08:13) The Unifeed & Rise of the Timeline (00:17:02) Power Law & Breakout Content (00:18:48) AI Algorithms Driving Content (00:20:38) Timeline-Native White House (00:21:09) Traits of Great Posters (00:25:27) Peak Guy & the Billionaire Priest Class (00:32:13) Billionaires Now Defer to Posters (00:34:52) Freedom vs. Relevance (00:38:53) AI & White-Collar Job Displacement (00:40:53) Stewarding Your Gifts as Moral Duty (00:43:18) Next Wave of Finance: Equity-First Firms (00:53:26) East Coast vs. West Coast Finance (00:55:34) Beating the Market Is Not That Hard (01:00:40) SPV Feudalism & Allocation (01:02:10) Egregious SPV Fee Structures (01:04:50) Simplicity vs. Complexity in Investing (01:07:15) Hiring: Attracting Differentiated Talent (01:11:00) Silicon Valley's Hidden Intellectual Traditions

In this episode of SurgOnc Today, Dr. Rebecca Snyder from the UT MD Anderson Cancer Center and Dr. Patricio Polanco from Atrium Health Wake Forest School of Medicine from the HPB Disease Site Work Group are joined by Dr. Katrina Duncan from The University of British Columbia and Dr. David Caba-Molina from RUHS-UC-R and Loma Linda University Health System. We will be discussing some of the most exciting HPB-related research and topics at this year's Annual SSO Meeting. SSO 2026 Abstract Supplement: https://surgonc.org/wp-content/uploads/2026/03/SSO-2026-Annual-Meeting-Supplement.pdf

My guests today are Gavin Uberti and Rob Wachen, the founders of Etched.  A few years ago, when they set out to build a better AI chip than the largest companies in the world, almost everyone I called told me it could not be done. They have since done it, taping out a working chip on their first attempt and becoming the first hardware company founded after ChatGPT to do so. They already have more than a billion dollars of customer demand for their first product, and have raised eight hundred million dollars to build it.  Etched builds chips and systems designed to run AI models faster and at lower cost. They started the company in 2023, and that product is a complete rack for inference, the chip along with the boards, the power delivery, the interconnects, and the manufacturing to produce it all. We talk about the technical bets behind their architecture, how they hired industry legends and paired them with elite 22 year-olds, and why they believe inference will become one of the largest markets in the world. I think you will find the story of what they have built hard to forget. Please enjoy my conversation with Gavin and Rob. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant. Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:07) Gavin Uberti and Rob Wachen (00:03:54) Two 21-Year-Olds Taking on NVIDIA (00:07:52) The Two Technical Bets Behind Their Architecture (00:14:15) Why Inference Becomes the Biggest Market (00:20:23) Rob and Gavin's Origins Stories (00:28:38) How They Recruit Industry Legends (00:36:30) Moving a Dozen Engineers to Bangalore for Six Months (00:38:01) Speed Wins (00:43:58) Getting More Concurrency Out of Every Megawatt (00:52:44) Vertical Integration (00:57:43) Hardest Obstacles to Overcome (01:01:09) Raising The Largest AI Chip Series A Ever (01:06:29) TSMC (01:13:20) Designing Gen 2 for Gigawatt-Scale Production (01:16:42) Why Machines Don't Think Like People (01:20:03) A Year of Compute Compressed Into a Month (01:23:44) The Trillion-Dollar Data Center (01:26:19) The Kindest Thing

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 process2. What “taste” really means as a professional skill, and why it is emerging as the most valuable capability in an AI-first workplace3. 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 anything5. How roles are collapsed on Andrew's team, and why eliminating the concept of roles entirely is a big mistake6. How Andrew uses Codex to run his own workflows7. 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 moreMercury—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

My guest today is Vlad Barbalat, the Chief Investment Officer of Liberty Mutual Investments, the $120 billion investment platform that sits within one of the largest insurance companies in the world.  Vlad grew up in Soviet Moldova, came to America in 1990, and built a career that eventually led him to one of the most distinctive capital allocator seats anywhere in finance.  Today we talk about how the mutual insurance structure creates a unique investment platform, what Liberty looks for in a new deal or partner, and what it means to build a career and a life in a country that gave you opportunities you never would have had anywhere else.  Please enjoy my conversation with Vlad Barbalat. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgeline.ai⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Timestamps: (00:00:00) Welcome to Invest Like The Best (00:00:53) Vlad Barbalat (00:01:28) The Most Interesting Seat in the Market (00:05:53) Breaking Down the $120B (00:10:41) How the Portfolio Is Constructed (00:11:00) The House View (00:13:49) What Liberty Looks for in a GP (00:16:32) Why Not Just Buy Bonds (00:18:30) Benefits of the Mutual Structure (00:23:40) The Luxury of the American Citizen Through Immigrant Eyes (00:30:26) How Immigration Shaped His Worldview (00:32:45) Direct Deals vs. GP Allocations (00:35:23) Branded Capital (00:39:07) Geopolitics & Investing (00:43:48) AI's Impact on Investing (00:46:22) The Valuation Debate (00:50:47) Public vs. Private Markets (00:53:53) Lessons from Goldman (00:54:41) Why Excellence Matters (00:57:30) Managing Permanent Capital (01:03:54) The Kindest Thing 

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 before2. Which roles AI will transform next3. Specific ways her team uses AI4. How Claude “routines” have changed how she operates as a manager5. The context-switching problem no one has solved yet6. The biggest unsolved problem in AI7. 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/lennyMercury—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

My guest today is Kareem Amin, co-founder and CEO of Clay. Clay has become one of the fastest-growing software companies of the last few years, valued at over four billion dollars. It helps companies find their best customers and reach them at scale. But this conversation is about a lot more than Clay. Kareem is one of the most original thinkers I know.  We talk about the statues he keeps at the center of how he runs Clay — truth, justice, and courage — and what those words demand of him in practice. We talk about risk, ambition, and what he learned about both on a ten-day silent meditation retreat.  I've had a lot of conversations with Kareem over the years. This is one I'll remember. Please enjoy this unique conversation with Kareem Amin. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Kareem Amin (00:03:07) Clay's Origin (00:10:50) Truth, Courage and Justice (00:16:09) Adulation (00:18:28) Risk, Courage & Self-Respect (00:21:14) Jony Ive & Steve Jobs (00:21:42) Role of Introspection (00:23:08) Lack to Wholeness (00:27:27) The Day Five Insight (00:29:57) Running a Startup Unusually (00:34:41) Learning from Magicians (00:36:27) Music's Role in Your Life (00:39:38) Making People Feel Something New (00:41:20) Vision in Company Building (00:44:29) Wealth & What It's Taught You (00:47:40) All Problems Are Communication Problems (00:52:14) Death Doula & Scaling (00:55:06) The Kindest Thing

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 new2. Why being less ambitious is the path to the most ambitious ideas3. His rule of thumb that your instincts are right 95% of the time, but your ideas are wrong 75% of the time4. “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 moreVanta—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

My guest today is Alex Sacerdote, founder of Whale Rock Capital Management.  Whale Rock is a technology focused investment firm that manages more than $17 billion across hedge fund, long only, and hybrid strategies. Over the past three years it has been one of the best performing hedge funds, compounding at roughly 44 percent a year. Alex invests through a single lens that he has refined over twenty years. He looks for technology S-curves, durable competitive advantages, and underappreciated earnings power.  This conversation is a tour through how he applies that framework right now. We start with his highest conviction position, which is Anthropic, and use it to work through the entire AI stack from chips to models to applications.  Please enjoy my conversation with Alex Sacerdote. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:00:00) Welcome to Invest Like The Best (00:02:29) Alex Sacerdote (00:03:08) Anthropic: Highest Conviction Position (00:13:23) Investing in Private Markets at Scale (00:19:08) S-Curves: The Full Framework (00:25:08) When to Buy Tech Companies (00:30:20) Identifying the Leader from the Pack (00:34:04) Anthropic & OpenAI's Competitive Moats (00:37:31) AI's Threat to Enterprise Software (00:43:18) Network Effects in the Agent Era (00:44:22) The Hardware Renaissance: Chips & Infrastructure (00:53:56) Why So Few Investors Get This Right (00:55:36) Key Risks to the AI Bull Case (00:57:47) The Application Layer (00:59:40) How AI Is Changing Research at WhaleRock (01:02:53) The Role of Investor Networks & Idea Sharing (01:03:40) Building a Multi-Product Firm (01:07:58) WhaleRock as a Learning Machine (01:09:15) The Kindest Thing

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 keyboard2. Why opinion-based decisions are essential for v1 products3. Why marketing matters as much as the product itself, and how the iPod almost failed4. Why voice will eventually become the primary interface with AI5. 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/lennyVanta—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

My guest today is Dara Khosrowshahi, the CEO of Uber. Before Uber, Dara ran Expedia for thirteen years. We start with why he took this job in 2017, and a big part of that story is Daniel Ek, who told him that life is not about happiness, it is about impact. We talk about what the chaos felt like on day one, and how his family leaving Iran when he was nine shaped the way he handles pressure today.  We spend most of our time on autonomous vehicles and Uber's role as the demand aggregator in a world of physical AI. Dara explains why Uber is a supply-led company, what it will take to win, and why he expects many winners in AVs rather than one.  We also discuss Uber's $10 billion in free cash flow, the push toward a single app for everything, and what he has learned from Allen & Co, Barry Diller and Reed Hastings. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Intro to Dara Khosrowshahi (00:03:37) How Daniel Ek Convinced Dara to Take the Uber Job (00:06:54) Bringing Order to Chaos (00:09:20) Managing Stress as a Leader (00:11:22) The Chip on His Shoulder (00:12:53) Parenting Lessons (00:17:01) Mandate for AI Adoption (00:21:21) Uber's Role in Physical AI (00:22:48) Winning the AV Demand Race (00:27:41) Partnering vs. Competing with Waymo (00:32:05) AV Success Unlocks New Markets (00:35:09) Why Drones Haven't Arrived Yet (00:36:27) Regional AV Rollout Differences (00:37:35) Uber Eats International Winning Formula (00:39:44) Key to Aggregating Supply Well (00:44:34) Adding Hotels to Uber Platform (00:50:46) Lessons in Marketing at Scale (00:52:59) Apps vs. AI Agents in Seven Years (00:54:08) What Dara Learned from Barry Diller (00:56:52) What Dara Learned from Allen & Co (01:00:09) Buybacks vs. Growth Investing (01:04:17) Lessons from Reed Hastings (01:05:49) The Kindest Thing

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 next2. Where value will actually accrue in the AI stack3. The anti-AI backlash, and where it may lead4. The surprising boom in consulting and professional services at AI companies5. Why distribution is becoming the ultimate moat as software gets easier to build6. 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/lennyVanta—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

My guest today is Dan Loeb, the founder and CEO of Third Point.  Dan started Third Point in 1995 with a few million dollars, and today the firm manages over 24 billion across equities, corporate and structured credit, venture, and insurance.  He is best known for his activist work at companies like Sotheby's, Sony, and Yahoo, and for the public letters he has written to boards over the years. What I find most interesting about Dan is how much his approach has evolved across thirty years.  He came up as a credit and event-driven investor at Warburg Pincus and Jefferies, built Third Point, then layered in quality investing, thematic technology investing, and now a very large credit business that sits alongside the hedge fund. We cover how he thinks about the AI stack and the companies inside it he believes matter most, the difference between good and bad governance, what FTX taught him about due diligence, the Sony and Sotheby's stories, and the power of writing. Please enjoy my conversation with Dan Loeb. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Dan Loeb (00:03:21) Mental Models Information Overload (00:06:50) Dan's Identity as an Investor (00:11:24) The End of Classic Event-Driven Investing (00:13:52) Evolving Strategy Over 30 Years (00:17:48) Return Opportunities in Today's Market (00:21:12) Sources of Alpha for Fundamental Investors (00:22:10) Good vs. Bad Governance (00:26:17) Writing as an Investing Tool (00:27:29) The Sotheby's Story (00:30:04) Activism Opportunities Today (00:31:03) Third Point's Evolution to 60% Credit (00:36:10) Dan as Sole Portfolio Manager (00:38:09) Value Investor Perspective on Today's Market (00:39:23) Investing Outside the US (00:40:33) The Sony Activism Story (00:43:59) Lessons from 30 Years of Investing (00:46:26) Danaher and Operational Excellence (00:48:48) Building the Insurance Liability Business (00:51:19) The FTX Story (00:53:07) Leading a Team Through Uncertainty (00:54:29) Where Third Point Is Most Contrarian (00:56:22) What Makes a Great Analyst Today (00:58:12) The Next 10 Years (01:00:24) The Kindest Thing

My guest today is Darren Farber, and this is his second appearance on the show. Darren is a Managing Partner of Albion River, a defense-focused investment firm and he previously served as a special advisor to the Deputy Under Secretary of Defense. We recorded this conversation in the middle of the Iranian contingency, and we spent most of our time on what winning actually means in a theater like Iran. We discuss why magazine depth matters for the American industrial base, lessons from Ukraine, and what the rise of neo-prime defense companies will require from Congress. Please enjoy my second conversation with Darren Farber. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Darren Farber Intro (00:02:59) Defining What Winning Looks Like in Iran (00:12:16) The Strait of Hormuz (00:13:27) Eisenhower vs. Taylor: Two Military Doctrines Explained (00:17:12) US Military Readiness vs. the Pentagon Era (00:20:05) America's Magazine Depth (00:21:36) China's Vulnerability (00:25:28) Trading Freedom for Security (00:27:31) Today's Industrial Base (00:29:30) Lessons from the Ukraine War (00:31:11) Impact of Iran Conflict on Taiwan Risk (00:33:02) What Neo-Prime Defense Companies Need to Succeed (00:39:53) Can We Win Without Full Regime Change in Iran? (00:45:46) AI's Impact on Modern Warfare

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/lennyVanta—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

My guest today is Gavin Baker, founding partner and CIO of Atreides Management, and this is our sixth conversation. The central theme is watts and wafers, the two physical constraints that in Gavin's view will dictate the next phase of AI. On power, he thinks the near-term shortage starts to ease in 2027 and 2028 as new sources of energy come online, and that orbital compute solves it in the long term. On wafers, he explains what is different this time from the dotcom bubble and why TSMC's capacity decisions may be the single most important variable to watch. We also discuss Elon's Terrafab, the disaggregation of GPUs, the role of new chip companies, and whether the economic value of AI will keep accruing to frontier models. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Gavin Baker Intro (00:03:32) Anthropic's Record ARR Growth (00:11:49) Should OpenAI and Anthropic Raise at a Much Higher Valuation? (00:13:23) How Elon Preserves Investor Trust (00:14:00) Watts & Wafers (00:15:45) Data Centers in Space Explained (00:20:51) Orbital Compute's Impact on Terrestrial Data Centers (00:26:24) TSMC Supply Discipline & Bubble Risk (00:30:50) Demand for Frontier Tokens & The Bitter Lesson (00:35:33) Continual Learning & Memory (00:40:01) New Chip Companies & Startups (00:42:49) Prefill vs. Decode Disaggregation (00:48:40) AI-Native Founders: Different & Hard (00:51:27) Token Path & Application Layer (00:56:13) How Gavin Uses AI in Atreides (01:00:06) Signs of a Diversity Breakdown (01:05:42) Google, Meta, Amazon, Microsoft (01:11:42) Broader Knock-On Effects of AI

My guest today is Krishna Rao, the CFO of Anthropic. The center of our conversation is how he navigates the decision around procuring and allocating compute, which he describes as the canvas on which everything else gets built. We talk about what he calls the cone of uncertainty, the three chip platforms Anthropic uses fungibly across Trainium, TPUs, and GPUs, and the daily meetings they run to allocate compute between model development, internal use, and serving customer demand. He explains why the returns to frontier intelligence keep getting higher, especially in enterprise, and how Anthropic thinks about the line between platform and application and why they choose to build their own products like Claude Code. Krishna has such a unique seat watching one of the fastest growing businesses in history, and he is generous in sharing what he has learned since joining the company two years ago. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Invest Like the Best listeners get a special offer of $1,000 off Vanta when you go to ⁠vanta.com/invest⁠.  ----- WorkOS⁠ is the infrastructure B2B and AI-native companies use to sell to enterprise. It covers everything enterprise security requires: SSO, SCIM, RBAC, Audit Logs, AI governance, and more. Trusted by 2,000+ fast-growing companies, including OpenAI, Anthropic, Cursor, and Vercel. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like The Best (00:02:29) Episode Intro: Krishna Rao (00:03:14) Compute as Anthropic's Lifeblood (00:05:17) Three Fungible Chip Platforms (00:07:31) The Cone of Uncertainty (00:09:08) Competing Ways to Allocate Compute (00:10:36) What Drives Compute Efficiency (00:12:38) Why Frontier Returns Are So High (00:16:32) How Claude Code Writes Its Own Code (00:18:46) Will Talent Become Obsolete? (00:20:07) How Scaling Laws Are Holding (00:21:54) Exponential Thinking (00:23:17) The Layer Cake of Compute (00:26:36) How Anthropic Deploys New Compute (00:27:53) Platform v. Application Layer (00:32:42) Why Model Pricing Has Stayed Stable (00:35:26) Measuring Return on Compute (00:37:22) Working With Chip Providers (00:38:32) How Anthropic's Finance Team Uses Claude (00:41:32) The Jevons Paradox for Labor (00:43:08) Anthropic's Fundraising & Growth Journey (00:47:31) The Exponential Revenue Curve (00:49:02) The Hardest Thing to Explain to Investors (00:52:15) AI's Public Perception Problem (00:55:38) Mythos (00:57:31) Relationship With Government (00:58:51) Inside Anthropic's Culture (01:03:48) The Next Frontier: Virtual Collaborators (01:06:22) How Leaders Scale With a Business (01:10:55) The Biggest Risks to Continued Progress (01:12:09) What Krishna is Excited About  (01:13:45) The Kindest Thing