mbanerjeepalmer+listennotes 's Listen Later

Podcast: ScreenFish (LS 27 · TOP 10% ) Episode: Episode 372: Aisha Jamal Interview | Hot Docs: The Power of Documentaries, Museums and The Theft Pub date: 2026-04-22 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization In this ScreenFish 1on1 Interview, Canadian programmer Aisha Jamal discusses the importance of documentaries and why they resonate with younger audiences. She reflects on what she’s most excited about for this year’s Hot Docs festival. Aisha also shares the inspiration behind her film THE THEFT, exploring the power of reclaiming cultural stories like the Ghazni marbles and examining our complicated relationship with museums, history, and heritage. The conversation highlights how documentaries can inform, challenge, and inspire change. You can find more information about Hot Docs '26 at hotdocs.ca THE THEFT is now streaming on tvo.org.

Podcast: Sean Kelly on Movies Podcast Episode: Inside Hot Docs 2026: Lead Programmer Gabor Pertic on This Year's Lineup Pub date: 2026-04-22 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Gabor Pertic talks about becoming the lead programmer of the Hot Docs Canadian International Documentary Festival and what films he is most excited about from the 2026 line-up. ✨ KEY MOMENTS IN THIS VIDEO: 00:00 Introduction 00:24 Gabor Pertic on Becoming Lead Programmer 00:50 Is There Any Film Gabor Pertic is Particularly Proud Of? 01:01 What Gabor Pertic is Really Excited About 01:14 End Screen

Podcast: Lenny's Podcast: Product | Career | Growth (LS 62 · TOP 0.1% ) Episode: Hard truths about building in the AI era | Keith Rabois (Khosla Ventures) Pub date: 2026-04-12 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Keith Rabois was an early executive at PayPal (part of the famous PayPal Mafia), COO at Square, VP of Corporate Development at LinkedIn, and an early investor in Stripe, DoorDash, Airbnb, YouTube, Ramp, and Palantir. Currently he’s managing director at Khosla Ventures. Also, he hasn’t touched a computer since September 2010 (he does everything from an iPad). In our in-depth conversation, Keith shares: 1. The barrels vs. ammunition hiring framework (and how to spot barrels) 2. Why talking to customers is actively harmful for consumer products 3. How to identify undiscovered talent 4. Why the PM role is dying 5. The three traits of the best-performing companies right now 6. The specific interview question he asks every senior candidate 7. Why CMOs (not engineers) are becoming the #1 consumer of tokens — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs Vanta—automate compliance, manage risk, and accelerate trust with AI — Episode transcript: https://www.lennysnewsletter.com/p/hard-truths-about-building-in-the-ai-era — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Keith Rabois: • X: https://x.com/rabois • LinkedIn: linkedin.com/in/keith • Website: https://www.khoslaventures.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 Keith Rabois (01:59) Why Keith hasn’t used a computer since 2010 (04:52) The team you build is the company you build (07:40) How Keith learned to identify talent at PayPal (10:05) Tactics for getting better at hiring (15:31) The barrels vs. ammunition framework (18:52) What makes someone a barrel (22:36) How to attract the best talent (26:18) Building companies on undiscovered talent (27:53) Why better performance requires more pressure (32:36) Career advice in the age of AI (35:14) The future of the product triad (41:03) Why design and code are merging (49:35) What practicing law taught Keith about entrepreneurship (51:22) Contrarian takes on customer feedback (1:02:33) Identifying great AI opportunities (1:05:13) Advice for evaluating statrups (1:12:36) Criticizing in public vs. private (1:15:05) Failure corner (1:17:29) Lightning round — Referenced: • Square: https://squareup.com • Jack Dorsey on X: https://x.com/jack • Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens • Simon Willison’s Weblog: https://simonwillison.net • Vinod Khosla on X: https://x.com/vkhosla • Peter Thiel on X: https://x.com/peterthiel • Max Levchin on X: https://x.com/mlevchin • David Sacks on LinkedIn: https://www.linkedin.com/in/davidoliversacks • Tony Xu on X: https://x.com/t_xu • David Sze on X: https://x.com/davidsze • Faire: https://www.faire.com • Max Rhodes on X: https://x.com/MaxRhodesOK • Jeffrey Kolovson on LinkedIn: https://www.linkedin.com/in/jeffreykolovson • Uncapped | Comparative Advantages w/ Keith Rabois: https://www.khoslaventures.com/posts/uncapped-comparative-advantages-w-keith-rabois • Lattice: https://lattice.com • Taylor Francis on LinkedIn: https://www.linkedin.com/in/taylor-francis-4ba49640 • Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein • The art of hiring: insights from Khosla Ventures, Airbnb, Ramp and Traba:...

Podcast: The Tennis Podcast (LS 63 · TOP 0.05% ) Episode: Making of The Master - Roger Federer, by Chris Clarey Pub date: 2021-08-24 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization This episode is a discussion with esteemed New York Times journalist and friend of the pod Chris Clarey about his new biography of Roger Federer, titled ‘The Master’. Chris speaks to David about the process of writing the book and what he learned along the way, the several exclusives he’s had with Federer over the years, the 82 interviews he conducted specifically for the book, why the likes of Mirka Federer, Peter Carter and Pierre Paganini have been fundamental to Federer’s success, how Federer has changed over the years, and how his rivalries with Rafael Nadal and Novak Djokovic have shaped him. We also get Chris to do a quick-fire Federer round and afterwards David chats to Matt about his impressions of the book. You can buy a copy of The Master, here - https://www.amazon.co.uk/Master-Brilliant-Career-Roger-Federer/dp/1529342058/ref=sr_1_1?crid=ABL1O2T8YDE5&dchild=1&keywords=the+master+christopher+clarey&qid=1629812297&sprefix=the+master+chris%2Caps%2C145&sr=8-1 The Tennis Podcast is presented by Catherine Whitaker and David Law, and features Matt Roberts. It is produced weekly year-round, and daily during the Grand Slam tournaments. It is crowdfunded by listeners each December. SUPPORT THE TENNIS PODCAST We crowdfund The Tennis Podcast every December, with shout-outs, mascots and chances to take us on at predictions. For a reminder when the next campaign goes live, put your e-mail address in here - http://eepurl.com/gwWILX Or, if you don’t want to wait and prefer to support us on Patreon - https://www.patreon.com/TheTennisPodcast NEWSLETTER Sign up to get our news, offers, predictions and Matt’s Stat - http://eepurl.com/gbmzRX SOCIAL MEDIA Twitter - https://twitter.com/TennisPodcast Instagram - https://www.instagram.com/thetennispodcast/ Hosted on Acast. See acast.com/privacy for more information.

Podcast: TennisWorthy (LS 33 · TOP 5% ) Episode: Roger Federer: The Evolution of a Master with Christopher Clarey Pub date: 2026-02-24 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Patrick McEnroe sits down with acclaimed journalist and author Christopher Clarey to explore the legendary career of Roger Federer. Drawing from his book, The Master, Clarey provides a rare look at Federer’s transformation from a "hotheaded" teenager into a global cultural icon. The duo discusses the "internal mastery" that defined Federer’s game, his legendary rivalries with Rafael Nadal and Novak Djokovic, and the mental resilience hidden beneath his elegant style. Clarey also shares personal insights into the pivotal figures behind Federer’s success, including his wife Mirka and fitness trainer Pierre Paganini. From the heartbreak of the 2019 Wimbledon final to the philosophy of the "unclenched fist," this conversation captures the grit, grace, and vulnerability that made Federer one of the most beloved figures in sports history. The TennisWorthy Podcast, presented by the International Tennis Hall of Fame, uncovers the sport's history and mindset of champions. Listen to every episode and view transcripts at tennisfame.com/podcast.

Podcast: The Lucky Letcord Podcast Episode: Christopher Clarey on "The Master" and Roger Federer Pub date: 2022-12-15 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization The New York Times journalist spent more than two decades chronicling the fantastic career of Roger Federer, and in his book he turns over every rock to find out more about the formative years of the legendary Swiss, so that we may better comprehend what made Federer the player he was. Learn more about your ad choices. Visit megaphone.fm/adchoices

Podcast: Founders (LS 65 · TOP 0.05% ) Episode: #412 How Roger Federer Works Pub date: 2026-02-19 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization What I learned from reading The Master: The Long Run and Beautiful Game of Roger Federer by Chris Clarey. Episode sponsors: Ramp⁠⁠⁠⁠⁠⁠⁠ gives you everything you need to control spend, watch your costs, and optimize your financial operations —all on a single platform. Make history's greatest entrepreneurs proud ⁠⁠⁠by going to Ramp.com to learn how they can help your business save time and money.⁠⁠⁠ Automate compliance, security, and trust with Vanta.⁠ ⁠⁠⁠Vanta helps you win trust, close deals, and stay secure—faster and with less effort⁠⁠⁠⁠. ⁠⁠⁠Find out how increased security leads to more customers by going to Vanta⁠⁠⁠. Tell them David from Founders sent you and you'll get $1000 off.

Podcast: Odd Lots (LS 64 · TOP 0.05% ) Episode: Goldman CIO Marco Argenti on the Warp-Speed Improvements in AI Pub date: 2026-03-30 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization When we last spoke to Marco Argenti, chief information officer at Goldman Sachs, we were talking about how the bank was deploying AI, including the development of its own internal tools. But that was a year and a half ago and a lot has changed since then, especially with the arrival of agentic platforms like Claude Code. So what exactly is Goldman Sachs doing with AI now? And what has its experience with the new tech been like so far? On this episode, we catch up with Marco to discuss what AI deployment at the bank actually looks like at the moment — including how AI coding is changing the work of its developers and engineers — to all the data challenges and regulatory concerns that come with integrating this technology at scale. Subscribe to the Odd Lots Newsletter Join the conversation: discord.gg/oddlots See omnystudio.com/listener for privacy information.

Podcast: Lenny's Podcast: Product | Career | Growth (LS 62 · TOP 0.1% ) Episode: How I built a 1M+ subscriber newsletter and top 10 tech podcast | Lenny Rachitsky Pub date: 2026-03-12 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization People have been asking me to sit on the other side of the mic for a long time. With my wife’s debut children’s book, Charts for Babies, coming out next month, we figured: why not do it together? What followed was one of the most honest conversations I’ve had on this podcast. Michelle asked things no one else would think to ask—and many things I’ve never shared publicly. You’ll hear about the specific moments that pushed me to start the newsletter, how I think about quality and iteration, what most stresses me out, and the scariest moment of my life. This was so fun, and so special, and I hope you like it. We discuss: 1. The collection of moments that led me to what I do now 2. When I added a paywall, and how I knew it was working 3. The hidden treadmill behind shipping a newsletter post and podcast episode every week 4. The most stressful moments I’ve had in business and in life 5. How I think about stress, consistency, and keeping the business small — Pre-order Charts for Babies: https://www.amazon.com/Charts-Babies-Picture-Book/dp/1419785184 — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny Metaview—The AI platform for recruiting: https://metaview.ai/lenny DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/how-i-built-a-1m-subscriber-newsletter — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Michelle Rial: • X: https://x.com/TheRialMichelle • LinkedIn: https://www.linkedin.com/in/michellerial • Website: https://www.michellerial.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 and role reversal (04:06) What would Lenny be doing without the newsletter? (07:20) The moments that led to starting the newsletter (09:58) Does Lenny still enjoy the work? (12:42) Stress management and misophonia (14:00) The psychedelic trip that changed everything (15:45) Online happiness course and baseline optimization (17:30) Thunder round: Lenny’s misophonia worst sounds (20:20) What makes Michelle’s charts so shareable (23:55) Where chart ideas come from (and why meditation helps) (26:59) Where does “Lenny” come from? (28:54) Being recognized in public (31:24) Early projects (36:30) Michelle and Lenny’s yin and yang (37:49) Missing office culture (but not really) (39:37) Lenny’s face blindness (40:47) The $100M fraud attack story (42:50) Michelle’s childbirth emergency (47:22) Michelle’s creative process (51:58) Lenny’s favorite children’s books (54:00) Product management lessons in parenting (55:31) Defining product management in five words (58:23) Why Michelle pivoted to children’s books (01:01:30) The power of iteration and real experience — Resources and episode mentions: https://www.lennysnewsletter.com/p/how-i-built-a-1m-subscriber-newsletter — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. To hear more, visit www.lennysnewsletter.com

Podcast: Lenny's Podcast: Product | Career | Growth (LS 62 · TOP 0.1% ) Episode: From skeptic to true believer: How OpenClaw changed my life | Claire Vo Pub date: 2026-03-29 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Claire Vo is the host of our sister podcast, “How I AI,” a former product executive and engineer, and founder of an AI startup called ChatPRD. Claire now runs her business, podcast, and family life with the help of nine OpenClaw agents running on multiple Mac Minis and old laptops. In this episode, Claire shares her journey from OpenClaw skeptic (it deleted her family calendar the first time she tried it) to true believer, and gives a masterclass in using AI agents in real life. We discuss: 1. The exact step-by-step process to install and set up OpenClaw (it’s easier than you think) 2. How to avoid the biggest OpenClaw mistakes (don’t install it on your main computer) 3. Actual use cases that have changed Claire’s life (e.g. family scheduling, inbound sales, podcast prep, and course management) 4. Why multiple specialized agents beat one general-purpose agent 5. The security risks everyone worries about—and how to handle them 6. Browser limitations, memory issues, and practical workarounds — Brought to you by: Mercury—Radically different banking Omni—AI analytics your customers can trust Orkes—The enterprise platform for reliable applications and agentic workflows — Where to find Claire Vo: • X: https://x.com/clairevo • LinkedIn: https://www.linkedin.com/in/clairevo • Podcast: https://www.youtube.com/@howiaipodcast • Website: https://clairevo.com • ChatPRD: https://www.chatprd.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 to Claire and OpenClaw (08:00) The journey from OpenClaw skeptic to believer (11:50) What OpenClaw actually does that’s useful (13:35) OpenClaw vs. other AI agent products (17:05) How to actually install OpenClaw: the basics (18:49) Setting up like you’d onboard a real assistant (20:41) Security and privacy considerations (24:53) Live demo: Installing OpenClaw step-by-step (28:47) Setting up Q: an agent for her kids’ homework (34:08) Understanding “soul,” “identity,” and “memory” (40:40) The unlock: multiple agents, not just one (45:02) How to run multiple agents on one machine (47:28) Jesse Genet’s homeschooling use case (49:58) Real examples and use cases (56:41) Finn, Claire’s family agent (1:00:05) Sage the Course Bot (1:02:15) Common issues and workarounds (1:08:08) The Exa/Perplexity web search workaround (1:09:29) Memory management and context overload (1:12:09) Pro tip: Screen sharing to manage Mac Minis (1:14:18) Using Google Workspace for agent collaboration (1:16:24) What makes OpenClaw special (1:20:15) The “yappers API” and ramble mode (1:22:04) Using Claude Code as your OpenClaw brain surgeon (1:25:16) Bringing management skills to AI agents (1:29:32) Why this matters (1:32:37) Lightning round and final thoughts — Referenced: • OpenClaw: https://openclaw.ai • Claude Cowork: https://claude.com/product/cowork • Fry’s Electronics: https://en.wikipedia.org/wiki/Fry%27s_Electronics • Peter Steinberger on LinkedIn: https://www.linkedin.com/in/steipete • Telegram: https://telegram.org • WhatsApp: https://www.whatsapp.com • Fin: https://fin.ai • Why OpenClaw feels alive even though it’s not (this AI has a heartbeat but not a brain): https://x.com/clairevo/status/2017741569521271175 • 5 OpenClaw agents run my home, finances, and code | Jesse Genet: https://www.youtube.com/watch?v=96Vl8s3EQhk • Executive Playbook for AI in Engineering, Product, and Design: https://maven.com/clairevo/ai-native-epd-org • Zach Davis on LinkedIn: https://www.linkedin.com/in/zach-m-davis/ • ChatGPT Atlas: https://chatgpt.com/atlas •...

Podcast: Lenny's Podcast: Product | Career | Growth (LS 62 · TOP 0.1% ) Episode: An AI state of the union: We’ve passed the inflection point, dark factories are coming, and automation timelines | Simon Willison Pub date: 2026-04-02 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Simon Willison is a prolific independent software developer, a blogger, and one of the most visible and trusted voices on the impact AI is having on builders. He co-created Django, the web framework that powers Instagram, Pinterest, and tens of thousands of other websites. He coined the term “prompt injection,” popularized the terms “AI slop” and “agentic engineering,” and has built over 100 open source projects, including Datasette, a data analysis tool used by investigative journalists worldwide. What makes Simon unique is that he’s made the leap from traditional software engineering to AI-native development more fully and visibly than almost anyone—and he’s been documenting everything he learns in real time on his blog, SimonWillison.net. In our in-depth conversation, Simon shares: 1. Why November 2025 was the inflection point when AI coding agents crossed from “mostly works” to “actually works” 2. How Simon writes 95% of his code from his phone now and why he’s mentally exhausted by 11 a.m. 3. Why mid-career engineers (not juniors) are most at risk right now 4. The three agentic engineering patterns Simon uses daily (red/green TDD, templates, hoarding) 5. The next leap: the “dark factory” pattern where nobody writes or reviews code and AI does its own QA 6. Why prompt injection is an unsolved security problem and the “lethal trifecta” that will likely lead to an AI Challenger disaster 7. Why the pelican riding a bicycle became the unofficial benchmark for AI model quality — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs Vanta—automate compliance, manage risk, and accelerate trust with AI — Episode transcript: https://www.lennysnewsletter.com/p/an-ai-state-of-the-union — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Simon Willison: • X: https://x.com/simonw • LinkedIn: https://www.linkedin.com/in/simonwillison • Website: https://simonwillison.net • Agentic Engineering Patterns: https://simonwillison.net/guides/agentic-engineering-patterns — 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 Simon Willison (02:40) The November 2025 inflection point (08:01) What’s possible now with AI coding (10:42) Vibe coding vs. agentic engineering (13:57) The dark-factory pattern (20:41) Where bottlenecks have shifted (23:36) Where human brains will continue to be valuable (25:32) Defending of software engineers (29:12) Why experienced engineers get better results (30:48) Advice for avoiding the permanent underclass (33:52) Leaning into AI to amplify your skills (35:12) Why Simon says he’s working harder than ever (37:23) The market for pre-2022 human-written code (40:01) Prediction: 50% of engineers writing 95% AI code by the end of 2026 (44:34) The impact of cheap code (48:27) Simon’s AI stack (54:08) Using AI for research (55:12) The pelican-riding-a-bicycle benchmark (59:01) The inherent ridiculousness of AI (1:00:52) Hoarding things you know how to do (1:08:21) Red/green TDD pattern for better AI code (1:14:43) Starting projects with good templates (1:16:31) The lethal trifecta and prompt injection (1:21:53) Why 97% effectiveness is a failing grade (1:25:19) The normalization of deviance (1:28:32) OpenClaw: the security nightmare everyone is looking past (1:34:22) What’s next for Simon (1:36:47) Zero-deliverable...

Podcast: Dwarkesh Podcast (LS 56 · TOP 0.5% ) Episode: Dario Amodei — The highest-stakes financial model in history Pub date: 2026-02-13 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Dario Amodei thinks we are just a few years away from AGI — or as he puts it, from having “a country of geniuses in a data center”. In this episode, we discuss what to make of the scaling hypothesis in the current RL regime, why task-specific RL might lead to generalization, and how AI will diffuse throughout the economy. We also dive into Anthropic’s revenue projections, compute commitments, path to profitability, and more. Watch on YouTube; read the transcript. Sponsors * Labelbox can get you the RL tasks and environments you need. Their massive network of subject-matter experts ensures realism across domains, and their in-house tooling lets them continuously tweak task difficulty to optimize learning. Reach out at labelbox.com/dwarkesh. * Jane Street sent me another puzzle… this time, they’ve trained backdoors into 3 different language models — they want you to find the triggers. Jane Street isn’t even sure this is possible, but they’ve set aside $50,000 for the best attempts and write-ups. They’re accepting submissions until April 1st at janestreet.com/dwarkesh. * Mercury’s personal accounts make it easy to share finances with a partner, a roommate… or OpenClaw. Last week, I wanted to try OpenClaw for myself, so I used Mercury to spin up a virtual debit card with a small spend limit, and then I let my agent loose. No matter your use case, apply at mercury.com/personal-banking. Timestamps (00:00:00) - Does task-specific RL hint at lack of generalization? (00:12:36) - Is economic diffusion just cope? (00:29:42) - Is continual learning necessary? How will it be solved? (00:46:20) - If AGI is 1-3 years away, why not buy more compute? (00:58:49) - How will AI labs actually make profit? (01:31:19) - Will regulations destroy the boons of AGI? (01:47:41) - Why can’t both China and America have a country of geniuses in a datacenter? Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Podcast: Dwarkesh Podcast (LS 56 · TOP 0.5% ) Episode: How cosplaying Ancient Rome led to the scientific revolution Pub date: 2026-03-06 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Renaissance history is so much wilder and weirder than you would have expected. Very fun chatting with Ada Palmer (historian, novelist, and composer based at the University of Chicago). Some especially fascinating things I learned from the conversation and her excellent book, Inventing the Renaissance: Not only did Gutenberg go bankrupt in the 1450s (after inventing the printing press), but so did the bank that foreclosed on him, and so did his apprentices. This is because paper was still very expensive, and so you had to make this big upfront CAPEX decision to print a batch of 300 copies of a book - say the Bible. But he’s in a small landlocked German town where only priests are allowed to read the Bible - so he sells maybe 7 copies. It’s only when this technology ends up in Venice, where you can hand 10 copies to each of 30 ship captains going to 30 different cities, that it starts taking off. Speaking of which, the printing revolution wasn’t just one single discrete event, just as the computer revolution has been this whole century of going from mainframes -> personal computers -> phones -> social media, each with different and accelerating social impact. Books came first, but they’re slow to print, and made in small batches. The real revolution is pamphlets - much faster, much harder to censor. Pamphlet runners are how you can have Luther’s 95 Theses go from Wittenberg to London in 17 days. So much other wild stuff from this episode. For example, did you know that the largest and best-funded experimental laboratory in 17th century Europe was very likely the Roman one run by inquisitors? Ada jokes that the Inquisition accidentally invented peer review. The focus of the Inquisition is really misunderstood - it was obsessed with catching dangerous new heretics like Lutherans and Calvinists - it only executed one person for doing science. And this leads Ada to make an observation that I think is really wise: the authorities and censors are always worried about the exact wrong things given 20/20 hindsight. When Inquisition raids an underground bookshop during the French Enlightenment, they don’t mind the Rousseau, Voltaire, and Encyclopédie, but they lose their minds about some Jansenist treatises about the technical nature of the Trinity. More broadly, a lesson for me from this episode is that it’s just really hard to shape history in the specific way that you want to impact things. One of the most famous medieval scholars is this guy Petrarch. He survives the Black Death in the 1340s, watches his friends die to plague and bandits, and says: our leaders are selfish and terrible, we need to raise them on the Roman classics so they’ll act like Cicero. So Europe pours money into finding ancient manuscripts, building libraries, and educating princes on classical virtues. Those princes grow up and fight bigger, nastier wars than ever before with new deadlier technology. And this, combined with greater urbanization and endemic plague, results in European life expectancy decreasing from 35 in the medieval period to 18 during the Renaissance (the period which we in retrospect think of as a golden age but which many people living through it thought of as the continuation of the dark ages that had persisted since the fall of Rome). Anyways, the libraries Petrarch inspires stick around, the printing press makes them accessible to everyone, and 200 years later a generation of medical students is reading Lucretius and asking “what if there are atoms and that’s how diseases work?” which eventually leads to germ theory, vaccines, and a cure for the Black Death (Ada has longer more involved explanation of how cosplaying the Romans results through a series of many steps to the scientific revolution). Petrarch...

Podcast: Dwarkesh Podcast (LS 56 · TOP 0.5% ) Episode: Terence Tao – Kepler, Newton, and the true nature of mathematical discovery Pub date: 2026-03-20 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization We begin the episode with the absolutely ingenious and surprising way in which Kepler discovered the laws of planetary motion. People sometimes say that AI will make especially fast progress at scientific discovery because of tight verification loops. But the story of how we discovered the shape of our solar system shows how the verification loop for correct ideas can be decades (or even millennia) long. During this time, what we know today as the better theory can actually make worse predictions. And the reasons it survives this epistemic hell is some mixture of judgment and heuristics that we don’t even understand well enough to actually articulate, much less codify into an RL loop. Hope you enjoy! Watch on YouTube; read the transcript. Sponsors - Jane Street loves challenging my audience with different creative puzzles. One of my listeners, Shawn, solved Jane Street’s ResNet challenge and posted a great walk-through on X. If you want to try one of these puzzles yourself, there’s one live now at janestreet.com/dwarkesh. - Labelbox can get you rubric-based evals, no matter your domain. These rubrics allow you to give your model feedback on all the dimensions you care about, so you can train how it thinks, not just what it thinks. Whatever you’re focused on—math, physics, finance, psychology or something else—Labelbox can help. Learn more at labelbox.com/dwarkesh. - Mercury just released a new feature called Insights. Insights summarizes your money in and out, showing you your biggest transactions and calling out anything worth paying attention to. It’s a super low-friction way to stay on top of your business. Learn more at mercury.com/insights. Timestamps (00:00:00) – Kepler was a high temperature LLM (00:11:44) – How would we know if there’s a new unifying concept within heaps of AI slop? (00:26:10) – The deductive overhang (00:30:31) – Selection bias in reported AI discoveries (00:46:43) – AI makes papers richer and broader, but not deeper (00:53:00) – If AI solves a problem, can humans get understanding out of it? (00:59:20) – We need a semi-formal language for the way that scientists actually talk to each other (01:09:48) – How Terry uses his time (01:17:05) – Human-AI hybrids will dominate math for a lot longer Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Podcast: Off Menu with Ed Gamble and James Acaster (LS 77 · TOP 0.01% ) Episode: Kojey Radical Pub date: 2026-03-18 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Brit Award- and Mercury Prize-nominated musician and rapper Kojey Radical is in the Dream Restaurant this week. But he’d rather be watching Spanish reality TV… Kojey Radical plays a massive show at London’s Royal Albert Hall on 20 May. For tickets go to royalalberthall.com Follow Kojey on Instagram and TikTok @kojeyradical Watch the video version of this episode on the Off Menu YouTube on Thu 19 Mar. Off Menu is now on YouTube: @offmenupodcast Follow Off Menu on Instagram and TikTok: @offmenuofficial. And go to our website www.offmenupodcast.co.uk for a list of restaurants recommended on the show. Off Menu is a comedy podcast hosted by Ed Gamble and James Acaster. Produced, recorded and edited by Ben Williams for Plosive. Video production by Ben Williams and Megan McCarthy for Plosive. Artwork by Paul Gilbey (photography and design). Hosted on Acast. See acast.com/privacy for more information.

Podcast: Off Menu with Ed Gamble and James Acaster (LS 77 · TOP 0.01% ) Episode: Ixta Belfrage Pub date: 2026-03-25 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Award-winning cook and food writer Ixta Belfrage – author of ‘Mezcla’ and new book ‘FUSÃO’ – is this week’s Dream Restaurant guest. Did someone mention Prawn Lasagne? Ixta Belfrage’s new book ‘FUSÃO’ is out now - buy it here. Her previous book ‘Mezcla’ is available here. Follow Ixta on Instagram @ixta.belfrage Watch the video version of this episode on the Off Menu YouTube on Thu 26 Mar. Off Menu is now on YouTube: @offmenupodcast Follow Off Menu on Instagram and TikTok: @offmenuofficial. And go to our website www.offmenupodcast.co.uk for a list of restaurants recommended on the show. Off Menu is a comedy podcast hosted by Ed Gamble and James Acaster. Produced, recorded and edited by Ben Williams for Plosive. Video production by Ben Williams and Megan McCarthy for Plosive. Artwork by Paul Gilbey (photography and design). Hosted on Acast. See acast.com/privacy for more information.

Podcast: No Priors: Artificial Intelligence | Technology | Startups (LS 46 · TOP 1% ) Episode: From Coder to Manager: Navigating the Shift to Agentic Engineering with Notion Co-Founder Simon Last Pub date: 2026-03-12 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Notion isn’t designing AI agents that just use tools. Their agents can autonomously build their own integrations, as well as write the code needed to finish a task. Sarah Guo sits down with Notion Co-Founder Simon Last to explore Notion’s rapid evolution from a simple writing assistant to a sophisticated platform for custom AI agents. Simon discusses the technical hurdles of indexing disparate data from sources like Slack and Google Drive, as well as the internal shift toward using coding agents to build Notion itself. Plus, Simon elaborates on what he sees as a fundamental transition in productivity: moving from a tool where humans do the work, to one where humans manage a swarm of agents. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @simonlast | @NotionHQ Chapters: 00:00 – Cold Open 00:05 – Simon Last Introduction 00:26 – Genesis of Notion AI 04:10 – Challenge of Semantic Indexing and Retrieval 07:16 – The Six-Month Rewrite Cycle 08:12 – Notion’s Coding Agent Era 09:44 – Impact on Team Dynamics 12:49 – Launching Custom Agents 15:39 – Notion as the ‘Switzerland’ for Models 17:33 – Designing APIs for Agent Customers 20:09 – Simon’s Personal Agentic Workflows 24:48 – Notion: Tool for Work is Now A Tool for Agents 27:28 – How Building Has Changed for Simon 29:00 – Conclusion

Podcast: The Pragmatic Engineer (LS 44 · TOP 1% ) Episode: The third golden age of software engineering – thanks to AI, with Grady Booch Pub date: 2026-02-04 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — Every few decades, software engineering is declared “dead” or on the verge of being automated away. We’ve heard versions of this story before. But what if it’s just the start of a new “golden age” of a different type of software engineering, like it has been many times before? In this episode of The Pragmatic Engineer, I’m joined once again by Grady Booch, one of the most influential figures in the history of software engineering, to put today’s claims about AI and automation into historical context. Grady is the co-creator of the Unified Modeling Language, author of several books and papers that have shaped modern software development, and Chief Scientist for Software Engineering at IBM, where he focuses on embodied cognition. Grady shares his perspective on three golden ages of computing since the 1940s, and how each emerged in response to the constraints of its time. He explains how technical limits and human factors have always shaped the systems we build, and why periods of rapid change tend to produce both real progress and inflated expectations. He also responds to current claims that software engineering will soon be fully automated, explaining why systems thinking, human judgment, and responsibility remain central to the work, even as tools continue to evolve. — Timestamps (00:00) Intro (01:04) The first golden age of software engineering (18:05) The software crisis (32:07) The second golden age of software engineering (41:27) Y2K and the Dotcom crash (44:53) Early AI (46:40) The third golden age of software engineering (50:54) Why software engineers will very much be needed (57:52) Grady responds to Dario Amodei (1:06:00) New skills engineers will need to succeed (1:09:10) Resources for studying complex systems (1:13:39) How to thrive during periods of change — The Pragmatic Engineer deepdives relevant for this episode: • When AI writes almost all code, what happens to software engineering? • Inside a five-year-old startup’s rapid AI makeover • Software architecture with Grady Booch • What is old is new again — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

Podcast: The Pragmatic Engineer (LS 43 · TOP 1% ) Episode: Building Claude Code with Boris Cherny Pub date: 2026-03-04 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — Boris Cherny is the creator and Head of Claude Code at Anthropic. He previously spent five years at Meta as a Principal Engineer and is the author of the book Programming TypeScript. In this episode of Pragmatic Engineer, we went through how Claude Code was built and what it means when engineers no longer write most of the code themselves. We discuss how Claude Code evolved from a side project into a core internal tool at Anthropic and how Boris uses it day-to-day. We go deep into workflow details, including parallel agents, PR structure, deterministic review patterns, and how the system retrieves context from large codebases. We also get into how Claude Cowork was built. As coding becomes more accessible, the role of engineers shifts rather than shrinks. We examine what that shift means in practice, which skills become more important, and why the lines between product, engineering, and design are blurring. — Timestamps (00:00) Intro (11:15) Lessons from Meta (19:46) Joining Anthropic (23:08) The origins of Claude Code (32:55) Boris's Claude Code workflow (36:27) Parallel agents (40:25) Code reviews (47:18) Claude Code's architecture (52:38) Permissions and sandboxing (55:05) Engineering culture at Anthropic (1:05:15) Claude Cowork (1:12:48) Observability and privacy (1:14:45) Agent swarms (1:21:16) LLMs and the printing press analogy (1:30:16) Standout engineer archetypes (1:32:12) What skills still matter for engineers (1:35:24) Book recommendations — The Pragmatic Engineer deepdives relevant for this episode: • How Claude Code is built • How Anthropic built Artifacts • How Codex is built • Real-world engineering challenges: building Cursor — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe

Podcast: The Pragmatic Engineer (LS 43 · TOP 1% ) Episode: Mitchell Hashimoto’s new way of writing code Pub date: 2026-02-25 Get Podcast Transcript → powered by Listen411 - fast audio-to-text and summarization Brought to You By: • Statsig — ⁠ The unified platform for flags, analytics, experiments, and more. • Sonar – The makers of SonarQube, the industry standard for automated code review • WorkOS – Everything you need to make your app enterprise ready. — How has the day-to-day workflow of Mitchell Hashimoto changed, thanks to AI tools? Mitchell Hashimoto is one of the most influential infrastructure engineers of our time, and is one of the most pragmatic builders I’ve met. He is the co-founder of HashiCorp and creator of Ghostty. In this episode, we talk about how he got into software engineering, the history of HashiCorp, and the challenges of turning widely used open-source tools into a durable business. We also go into what it’s really like to work with AWS, Azure and GCP as a startup. Mitchell shares how he uses AI these days, and how agents have completely changed how he works. We touch on Ghostty, open source, and what’s changing for software engineers and founders in an AI-native era. — Timestamps (00:00) Intro (02:03) Mitchell’s path into software engineering (07:19) The origins of HashiCorp (15:52) Early cloud computing (18:22) The 2010s startup scene in SF (23:11) Funding HashiCorp (25:23) The Hashi stack (32:33) Why HashiCorp’s business lagged behind its technology (35:28) An early failure in commercialization (38:28) The open-core pivot and path to enterprise profitability (48:08) Taking HashiCorp public (51:58) The near VMware acquisition (59:10) Mitchell’s take on all the cloud providers (1:06:02) AI’s impact on open source (1:07:00) Why Mitchell built Ghostty (1:09:11) Why Mitchell used Zig (1:10:38) How terminals work and Ghostty’s approach (1:17:31) AI’s impact on terminals and libghostty (1:19:13) How Mitchell uses AI (1:22:02) Ghostty’s evolving AI use policy (1:28:36) Why open source must change (1:31:46) The problem of Git in monorepos (1:36:22) What needs to change to work effectively with AI (1:39:57) Mitchell’s hiring practices (1:47:52) Mitchell’s AI adoption journey (1:50:41) Advice to would-be founders (1:52:21) Mitchell’s advising work (1:53:20) What’s changing for software engineers (1:55:03) How Mitchell recharges (1:55:50) Book recommendation — The Pragmatic Engineer deepdives relevant for this episode: • AI Engineering in the real world • The AI Engineering stack • Pressure on commercial open source to make more money – and HashiCorp changing its license • How Linux is built with Greg Kroah-Hartman — Production and marketing by ⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co/⁠⁠⁠⁠⁠⁠⁠⁠. For inquiries about sponsoring the podcast, email podcast@pragmaticengineer.com. Get full access to The Pragmatic Engineer at newsletter.pragmaticengineer.com/subscribe