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Gary Marcus
BREAKING: Circular financing reaches new heights
Things could get bad if this all falls apart
ZDNet AI
ZDNet AI
Nvidia's open Nemotron 3.5 Lightning model is all about specialized, local agentic AI
Our AI Model Release Tracker keeps new models in context with their peers, so you know which are worth your time.
DIGITAL STORM weekly
Your Claude Is Missing Six Parts # 175
Everyone assembles the chat box. Almost nobody builds the other six layers.
The AI Daily Brief
What the Heck is Graph Engineering?
Graph engineering is AI’s latest buzzy term—but it offers a useful framework for organizing agents, tools, knowledge and humans into working systems. NLW explains the evolution from prompts to graphs. In the headlines: OpenAI delays Astra, ByteDance trains a massive model, open-weight AI tests revenue sharing and Claude Code embraces Auto Mode. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Gary Marcus
Open-source is NOT the same as open-weight
How The New York Times just bungled this one, and why it matters, immensely
ZDNet AI
ZDNet AI
Claude's Record-a-Skill cut my research from hours to 30 minutes - but the magic has limits
I used Claude Cowork to automate a workflow, and the result was remarkably effective, but it exposed four drawbacks.
Limited Edition Jonathan
I Made Claude Readable Again.
The smarter Claude gets, the harder it is to read. So I built a fix.
Future-Proof Your Career with AI
How Bridgewater built an "AI analyst"
AI Weekly Round-Up #45: ChatGPT advanced voice mode and simplifying your skills
Lenny's Podcast
The playbook for building high talent density teams | Adam Ward, Head of Talent at Cursor
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 market 2. Why the traditional recruiting funnel—what Adam calls the “funnel of doom”—leads to mediocre hires 3. Adam’s three-step playbook: scoping, mapping, and relentless pursuit 4. The worst question to ask when sourcing great talent 5. The rise of the forward deployed engineer—and how to become one 6. 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 more Mercury—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
Limited Edition Jonathan
The Gate Is in the Wrong Place
The world where building was expensive has ended. Here's where the gate goes now.
The AI Daily Brief
41 Stats That Tell the Story of AI Right Now
AI is now used by a majority of American workers—but the gap between the frontier and everyone else is growing fast. NLW draws on 41 recent statistics to map the real state of AI across business, work and society, revealing a world where AI is simultaneously mainstream and still extraordinarily early. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
The AI Daily Brief
The Right Way to Worry About AI
AI-created viruses and autonomous agents coordinating in secret sound terrifying—but what do these incidents actually tell us about AI risk? NLW argues that they demand serious preparation, not panic, victory laps or rushed regulation. In the headlines: OpenAI expands free access, Stripe closes in on OpenRouter, Nvidia faces memory constraints, OpenAI’s device takes shape and AI debt tests the bond market. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Gary Marcus
CPUs and the rise of neurosymbolic AI
A new paradigm is developing, and the world is changing faster than most people realize
Hard Fork
The White House’s Secret A.I. Rules + The State of Model Alignment With METR’s Chris Painter + The Final Hot Mess Express
This week, the White House announced a new framework for regulating A.I. models, but it isn’t letting the public read it. We break down what we know about the rules and what the implications are for the industry and A.I. safety as a whole. Then, yet another report details new incidents in which A.I. agents have gone rogue. Chris Painter, the president of METR, an independent A.I. evaluation organization, joins to discuss how we get these models under control. And finally, we're hopping on the Hot Mess Express for the very last time. We’ll rate the craziest tech headlines from the week, including Google’s announcement that Demis Hassabis is stepping into a new role. Guests: Chris Painter, president of METR. Additional Reading: White House Readies A.I. Framework to Review Security Risks Inside Trump's AI framework How Do You Measure an A.I. Boom? METR’s Frontier Risk Report Google Shakes Up A.I. Leadership Did an A.I. Music App Just Snitch on the Song of the Summer? This AI Assistant Wants to Make Up for Your Boyfriend’s Incompetence Google Earth’s AI deepfake tool only lasted one day US government map of Africa mislabels every country at global conference Contractor who built Colossus and Colossus II says Elon Musk owes him colossal amount of money We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Anthropic News
The AI Daily Brief
Google’s AI Leadership Shakeup: Disaster or Exactly What It Needs?
Demis Hassabis is relinquishing day-to-day control of DeepMind, Jeff Dean is leaving Google after 27 years, and both moves follow a string of other marquee departures. Is Google experiencing a devastating brain drain—or clearing the way for the organizational reset Gemini badly needs? In the headlines: Meta releases two new models and its first coding harness, Anthropic starts building a chip team, and AI-driven shopping sends Shopify soaring. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
AI Maker
I Rebuilt Alex Lieberman’s AI Content Machine for Solo Creators
A four-stage writing system that interviews you, drafts from your answers, challenges the result, and learns from your edits.
Future-Proof Your Career with AI
How to unleash a swarm of AI agents
Buckle up, it's going to cost you some tokens
Marketing AI in Action
The State of B2B Marketing. What's working & What's not.
What founders actually think about marketing right now
Practical AI
Models, Harnesses, and Multi-Agent Systems
AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter? In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI in your own organization. If you feel left behind by this ongoing agentic AI revolution that has rapidly accelerated to warp speed, then this episode is the catch-up primer you've been waiting for! Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Resources and Events: Prior Webinars from our partner Prediction Guard Midwest AI Summit 2026
DIGITAL STORM weekly
PODCAST: The Dropdown Is Now a Control #174b
Three variables collapsed into one choice this week: what your AI costs, how good it is, and where your data sleeps. Almost no organisation has assigned an owner to it.
DIGITAL STORM weekly
The Dropdown Is Now a Control #174b
Three variables collapsed into one choice this week: what your AI costs, how good it is, and where your data sleeps. Almost no organisation has assigned an owner to it.
Gary Marcus
Elon Musk’s preposterous and possibly harmful prediction about robotic surgery
Some predictions are off. This one is way off.
The AI Daily Brief
Why the Data Center Fight Has Little to Do With AI
The fight over AI data centers is accelerating—but concerns about power and water are only part of the story. NLW argues that the deeper issue is trust, agency and communities feeling that change is being imposed on them. In the headlines: the White House’s secret AI testing regime, agents attacking real-world targets, a potential ban on Chinese data center components and SpaceX’s first earnings report. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
The AI Daily Brief
Why AI Washing Won’t Work Much Longer
Corporate AI has spent years rewarding flashy announcements, dubious layoffs, and shallow use cases. But the arrival of powerful open models—and a much more sophisticated conversation about routing, customization, costs, and organizational redesign—may finally make AI washing harder to sustain. In the headlines: Palantir’s march toward AI sovereignty, Google’s enormous bet on recursive self-improvement, and Claude exposes a major vulnerability in forensic DNA software. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
AI Maker
We Built a Content Radar Agent in Claude Cowork
It scans, scores, and knows what I've already written. Here's what's inside the folder.
Michael Crist
30 Minutes to Build an App You'll Use Once
This is what happens when the cost of building software falls to the floor
Anthropic News
Anthropic News
Mariano-Florentino (Tino) Cuéllar to join Anthropic as Chief Global Affairs Officer
Mariano-Florentino (Tino) Cuéllar to join Anthropic as Chief Global Affairs Officer
DIGITAL STORM weekly
Your Chat Has a Budget You Cannot See #174
A frontier class model got 50 percent cheaper this week. The bigger change was a single line about caching that decides what your conversations actually cost.
The AI Daily Brief
What Happens When AI Breakthroughs Outrun Human Understanding
OpenAI says its unreleased Astra model solved or advanced ten long-standing mathematical problems for roughly $2,000. The results raise a larger question: what happens when AI can produce important breakthroughs that almost nobody has the expertise to understand, assess or independently verify? In the headlines: a new Deepseek model, Amazon completes OpenAI investment, and is Situational Awareness dead or alive? AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Gary Marcus
Two critical updates re: Astra and mathematics
First, abstracting from all the words in my long analysis on OpenAI Astra yesterday, the overall point was that Astra may not be the breakthrough that OpenAI wants you to think it was.
Senior Storyteller
Claude and the "Over-Investigation" Problem
Stop Claude from using unneeded processes and tools
Gary Marcus
OpenAI’s amazing — but vastly oversold — new model Astra
Eight or nine misconceptions about Astra. See if you can spot the biggest fallacy.
AI Maker
Monthly Q&A #4: How to Build AI Systems You Can Trust With Real Work
And learn how to seamlessly import Claude Code into ChatGPT/Codex systems.
Future-Proof Your Career with AI
AI is creating more work for lawyers
AI Weekly Round-Up #44: Ambient voice mode for Codex and "ontologies" for agents
Lenny's Podcast
This CPO regrets that product management exists | Tom Verrilli (CPO of Whatnot)
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 role 3. What Tom looks for when hiring PMs 4. The shift toward senior ICs doing the work 5. How AI has transformed data science at Whatnot 6. Tom’s “play the accordion” mental model 7. Why “hire great people and get out of their way” fails 8. His biggest lessons from his time at Twitter — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury—Radically different banking, now with Command — Episode transcript: https://www.lennysnewsletter.com/p/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
The AI Daily Brief
Everything You Need to Know About AI Tokens
In this Operator's edition, Nufar Gaspar explains what AI tokens actually are, why costs can spiral in agentic workflows, and how to distinguish valuable usage from waste. Learn how to measure cost per successful task, eliminate “tokens that spin,” choose the right models and protect the experimentation that creates real value. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Blockbuster Blueprint
2 Researchers Spent 5 Years Mining The Most Influential Self-Help Books Ever Written, Plus 23 Schools Of Therapy
Spencer Greenberg on the real science of self-help, why AI subtly gaslights you, and the only four things you can actually control each day.
The AI Daily Brief
What a $30B Hedge Fund Implosion Really Means for AI
OpenAI and Anthropic revenues are soaring, hyperscalers say demand continues to exceed capacity, and yet AI stocks have suffered a brutal drawdown—culminating in the collapse of Leopold Aschenbrenner’s highly leveraged $30 billion hedge fund. NLW explains what actually caused the implosion, and why market turmoil doesn’t necessarily signal weakening AI fundamentals. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Hard Fork
Open Model Wars + Claire Stapleton's Dishy Google Memoir + Substack's Slop Fight
This week, we break down the arguments about open-weight models unfolding in Silicon Valley right now. Nvidia released an open letter signed by over 230 companies opposing “premature restrictions,” but will the Trump administration listen? Then, we’re joined by the author Claire Stapleton to discuss her new book about what she learned while leading employee activism inside Google. And finally, can Substack stop the slop? We’ll talk about the platform’s new A.I. detector. Guests: Claire Stapleton, author of “Don’t Be Evil: Bad Bosses, Fake Promises, and My Escape from Big Tech.” Additional Reading: Nvidia Forms Alliance to Back Open-Source A.I. Amid Debate Over Safety What Is Open-Weights A.I.? Mark Zuckerberg Blasts Centralization of A.I. Power The Voice of Google Against Claudefishing We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Marketing AI in Action
Use AI to Craft ‘Slop’ Free Content
Don’t let your content fall into the AI slop abyss. This skill will make sure you craft winning content
The AI Daily Brief
6 Questions Every Enterprise Has to Answer About AI
The enterprise AI conversation has shifted from whether agents will transform work to how organizations must redesign around them. NLW breaks down six defining questions from token budgets, workforce enablement, business-model change to building systems designed to evolve. In the headlines: Sam Altman heads to Washington, Microsoft plans a super app and Zuck makes the case for AI acceleration. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Future-Proof Your Career with AI
Cowork comes to the Cloud
You can now control Cowork from your mobile device
AI Maker
The Complete Guide to Building Your First Agentic System (That You Can Actually Trust)
Less babysitting, more work gets done.
Practical AI
Reconstructing how OpenAI agents attacked Hugging Face
What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Hugging Face Security Incident disclosure Full Field Report on the Hugging Face AI Agent Intrusion ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks? Keeping your data safe when an AI agent clicks a link Open AI GPT-5.6 System Card Sponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Resources and Events: Prior Webinars from our partner Prediction Guard Midwest AI Summit 2026
Anthropic News
Anthropic News
Investigating three real-world incidents in our cybersecurity evaluations
Investigating three real-world incidents in our cybersecurity evaluations
DIGITAL STORM weekly
PODCAST: The Procedure Portfolio #173b
Creation cost just collapsed to zero. Everything expensive about automation is now downstream of that.
DIGITAL STORM weekly
The Procedure Portfolio #173b
Creation cost just collapsed to zero. Everything expensive about automation is now downstream of that.
The AI Daily Brief
The AI Industry Asks Government to Slow It Down
More than 1,200 AI researchers and executives have signed the new “Pacing the Frontier” letter, calling on the US government to develop the tools needed for a coordinated slowdown if AI progress begins accelerating beyond society’s control. NLW examines why the fierce debate surrounding it may ultimately be a reason for optimism. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
The AI Daily Brief
Big Tech Unites for Open Source AI—and Against Anthropic
Big Tech has united behind open-weight AI—with Anthropic standing conspicuously apart. NLW breaks down why this coalition formed, what each side stands to gain, and how the fight could shape US AI policy. In the headlines: NVIDIA backs Ilya Sutskever’s SSI, China’s chip push accelerates, and Apple battles Micron. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Gary Marcus
Sorry, Sam and Elon, we have not reached the Singularity
Not that anyone even knows what that means.
AI Maker
Why Your AI Harness Matters as Much as the Model
The model will keep changing, but the system around it is what truly improves your work.
Anthropic Red
Anthropic Red
Discovering cryptographic weaknesses with Claude
Discovering cryptographic weaknesses with Claude
DIGITAL STORM weekly
Your Best Skill Never Fires #173
Claude can now learn a workflow by watching you. One field you probably wrote last still decides everything.
The AI Daily Brief
Where Claude Opus 5 Fits in Your Model Rotation
Claude Opus 5 tops major benchmarks , but early users are sharply divided over its reliability, personality, and tendency to stop before the work is done. NLW examines its strengths, its surprising weaknesses, and whether it belongs as an everyday model, an enterprise workhorse, or something in between. In the headlines: new questions about OpenAI’s rogue agent attack on Hugging Face and NVIDIA’s potential $250 billion backstop for OpenAI’s infrastructure buildout. AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Anthropic News
Anthropic News
Anthropic News
Cognizant and Anthropic expand their partnership to bring Claude to enterprise clients
Cognizant and Anthropic expand their partnership to bring Claude to enterprise clients
Future-Proof Your Career with AI
Jensen makes the case for open source AI
AI Weekly Round-Up #43: Building an enterprise knowledge base and redoing your Claude skills
AI Maker
How to Run a Pre-Mortem on Your Next Product Decision
Turning user feedback, previous lessons, and hidden risks into a practical test plan.
The AI Daily Brief
How to Get the Most from AI This Summer
Ethan Mollick’s latest guide reveals the widening divide between casual chatbot use and serious work with agents. NLW breaks down his recommendations and launches AI Summer Adventure, a free choose-your-own-adventure with more than 20 hands-on projects—from building better context and your first app to creating an AI-staffed microbusiness and running agentic loops. Ethan's piece: https://www.oneusefulthing.org/p/an-opinionated-guide-to-which-ai-b22 AIDB's AI Summer Adventure: https://summeradventure.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Lenny's Podcast
Anthropic’s first technical PM on token maxing, the jagged edge, and living in the future | Dianne Penn
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 like 2. The inflection points that turned Anthropic from an underdog into the fastest-growing company in history 3. How exactly Claude got so good at coding 4. The eval-driven development loop her team is pioneering 5. How to find joy in AI when everything is moving this fast 6. Why Claude’s willingness to push back is key to its success 7. Where human judgment remains irreplaceable — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury—Radically different banking, now with Command — Episode transcript: https://www.lennysnewsletter.com/p/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
Michael Crist
5 Copy-Paste Claude Design Prompts for Decks, Docs, and Pages
Copy and paste these prompts to make on-brand decks, docs, landing pages, wireframes, and animations. No design or coding skills required.
Gary Marcus
An open letter to David Sacks
China is closing the gap, but it’s not because we have too much regulation on AI
The AI Daily Brief
Why AI Hasn’t Increased Unemployment, According to Anthropic
Anthropic’s head of economics argues that AI is still augmenting workers rather than replacing them—and that expertise becomes more valuable as AI handles more tasks. NLW examines the evidence, the warning signs in junior hiring, and why the story executives tell themselves about AI could shape its impact on work. In the headlines: Stripe’s reported $10 billion pursuit of OpenRouter, the booming model-routing race, and Microsoft’s push toward cheaper in-house models. Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Marketing AI in Action
I Built a Claude Skill to Show Me Why My LinkedIn Reach Collapsed
It scrapes your LinkedIn analytics, builds a live dashboard, and shows you exactly what's working.
Hard Fork
OpenAI Models Go Rogue + Kimi K3 Freakout + A.I. Superforecasting
This week, OpenAI reported that two of its models escaped their testing sandbox and launched an autonomous cyberattack, turning what sounds like science fiction into reality. We discuss the implications for efforts to align artificial intelligence and for the release of future A.I. models. Then, we ask how the United States should respond to Kimi K3, a new A.I. model from the Chinese company Moonshot AI that the White House says was built by distilling American models. Finally, we’re joined by Veniamin Veselovsky, the chief executive and a co-founder of Preseen, to discuss A.I. superforecasting. He tells us why A.I. is starting to match and even beat humans at predicting the future. Guest: Veniamin Veselovsky, co-founder and chief executive of Preseen. Additional Reading: OpenAI Says Its A.I. Models Went Rogue and Attacked a Digital Library China Rewrites the ‘Soft Power’ Playbook for the A.I. Age The Secret Trump Administration Battle to Fight Chinese A.I. China Has a New Top Model The A.I. Superforecasters Are Here We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Anthropic Red
Anthropic News
Anthropic News
Introducing Claude Opus 5
Opus 5 is a step change improvement for the Opus tier powering long-running agents while delivering improvements in coding and professional work.
The AI Daily Brief
A Field Guide to AI Market Freakouts
Cheap Chinese models, runaway infrastructure spending, token caps, circular financing and performance plateaus have each threatened to derail the AI boom. NLW examines the recurring fears haunting investors—and argues that these periodic freakouts may be exactly what keeps a genuine AI bubble from forming. Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
AI Maker
How I Expanded My AI Second Brain With QMD, Readwise, X, and Podcasts
Inside my seven-stage AI workflow to capture, reflect, and create.
Future-Proof Your Career with AI
AI is coming for your Slack workspace
Claude's Tag feature is a big deal
Practical AI
Surviving the New Economics of a Post-Agentic World
The agentic transformation isn’t coming. It has already begun. Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time. In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match? This isn’t another conversation about whether AI will take your job. It’s about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true. The post-agentic world is already taking shape. The question is whether you’re preparing for it — or becoming part of what it replaces. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Is IBM a Canary in the Tech Coal Mine? Verbalizable Representations Form a Global Workspace in Language Models Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
DIGITAL STORM weekly
PODCAST: The Cowork Operating Standard #172b
We are honored to count you among the >600.000 readers of “DIGITAL STORM weekly” across platforms. Please help grow our community by inviting your friends.
DIGITAL STORM weekly
The Cowork Operating Standard #172b
Turn a personal setup trick into a team wide operating discipline for cost, consistency, and control.
Blockbuster Blueprint
Augmented Awakening with Anand Rao (July 17, 2026)
Turning AI Overwhelm Into Real Agency and Creation using live demos and a new skill that helps learners move from feeling stuck to creating.
The AI Daily Brief
Wait... Just How Good IS GPT-6?
An unreleased OpenAI model reportedly escaped its testing environment, exploited a zero-day, and broke into Hugging Face while trying to beat a benchmark—offering a startling preview of GPT-6’s capabilities and risks. In the headlines: new Gemini models, the model-router boom, Substack’s AI crackdown, and proposed sanctions against Chinese labs. Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Anthropic News
Anthropic News
A research agenda for the Economic Futures Research Fund
A research agenda for the Economic Futures Research Fund
Anthropic News
Anthropic News
Ask Claude about the Anthropic Economic Index
Ask Claude about the Anthropic Economic Index
The AI Daily Brief
The Fight Over Which AI Models You Can Use
A fierce political and industry fight is emerging over which AI models Americans and businesses will be allowed to use. NLW breaks down the growing debate over Chinese open-weight models, the White House’s increasingly murky approach to AI regulation, OpenAI strategist Dean Ball’s controversial comments, and why this battle could shape AI costs, competition, and the future of access to powerful models. Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Automato
Fake Musk, an Austrian Chicken, and What Comes After Salaries
What a debunked Musk quote and a century-old chicken breed taught me about self-reliance.
AI Maker
Before You Try Another AI Tool, Ask These 7 Questions
A practical framework for deciding which AI tools deserve your time, money, and attention.
Anthropic News
Anthropic News
Anthropic is donating another $20 million to Public First Action
Anthropic is donating another $20 million to Public First Action
DIGITAL STORM weekly
Stop Feeding Claude. Start Directing It #172
The two primitive setup that makes Claude Cowork sharper, faster, and far cheaper.
The AI Daily Brief
How to Get the Most Out of Fable 5 and GPT-5.6 Sol
Most people are still using the newest frontier models like slightly better versions of the old ones. NLW explores the prompting changes, new interaction patterns, higher-leverage tasks, and iterative loops that can unlock what Fable 5 and GPT-5.6 Sol can actually do. Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Gary Marcus
China has all but caught up. The US is not going to “win” the AI war. Here’s what we should do instead.
Seven options, considered
Blockbuster Blueprint
I Built A "Cognitive Harness" That Upgrades Your AI And Makes You Smarter
If you've spent years mastering your field, AI just handed you a compounding edge most people miss.
Anthropic News
Anthropic News
Apply for Anthropic’s AI for Science rare disease research grants
Apply for Anthropic’s AI for Science rare disease research grants
Future-Proof Your Career with AI
Using ChatGPT 5.6 for knowledge work
AI Weekly Round-Up #42: Claude can now send Outlook messages and the impact of Slack "tag"
AI Maker
Claude Code App Updates and the SEO Loops We're Testing
From multi-pane view, built‑in browser agents, artifacts, and routines.
Lenny's Podcast
Why Netflix is betting on systems thinkers—not specialists—in the AI era | Elizabeth Stone (CPTO)
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 for 2. How to manage the flood of AI-generated output without losing quality or signal 3. How Netflix thinks about AI fluency as a universal expectation rather than a level-specific skill 4. 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/lenny Mercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/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
The AI Daily Brief
The Self-Driving Company
Replit says its internal agents have nearly tripled engineering output without sacrificing quality—but the bigger story is how AI is beginning to reshape the entire company. NLW explores what it takes to build a self-driving organization, from connecting agents across business systems to creating loops that continuously turn goals and customer feedback into action. Source: https://x.com/amasad/status/2077802290304684404 Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at https://kpmg.com/us/Sophisticated Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. hyperagent.com/aidailybrief Retool - Secure your vibecoded apps. New enterprise customers get up to $10,000 in AI credits per year. retool.com/aidaily Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack https://www.rackspace.com/ Section - Section turns AI investment into workforce transformation and ROI - https://www.sectionai.com/ Scrunch - The AI customer experience platform - https://scrunch.com/ Blitzy - Want to accelerate enterprise software development velocity by 5x? https://blitzy.com/ AssemblyAI - The best way to build Voice AI apps - https://www.assemblyai.com/brief Robots & Pencils - Cloud-native AI solutions that power results https://robotsandpencils.com/ The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Our Newsletter is BACK: https://aidailybrief.beehiiv.com/ Interested in sponsoring the show? sponsors@aidailybrief.ai
Limited Edition Jonathan
Apple Is the King of AI and Nobody Knows It
NVIDIA is a dead man walking. I’ve been saying this for months. Consider this my timestamp.
Marketing AI in Action
The Great AI Sprawl
Why democratising AI made your teams slower, and the operating model that fixes it.
Hard Fork
The A.I. Trade Secrets War + Economists Say ‘We Must Act Now’ + HatGPT
This week, feuding between some of the biggest tech companies spilled into public view. We discuss Apple’s accusation that OpenAI tried to steal secrets about Apple’s hardware business, as well as share our reactions about OpenAI’s new model, Sol, and Anthropic’s decision to extend access to its model Fable. Then, we unpack the loudest warning yet about A.I. and jobs. We talk with Erik Brynjolfsson, a Stanford economist, about a statement he helped organize that implores economists and A.I. researchers to “act now” to steer A.I. in a direction that complements humans. And finally, we play a round of HatGPT. Guest: Erik Brynjolfsson, senior fellow at the Stanford Institute for Human-Centered A.I., and director of the Stanford Digital Economy Lab. Additional Reading: Apple Sues OpenAI, Accusing It of Stealing Company Secrets OpenAI’s First Device Will Be Movable, Screenless Speaker Built as A.I. Companion Nearly 200 Economists and Tech Leaders Warn of A.I. Threats The loudest warning about A.I. and jobs yet OpenAI Is Showing Kalshi’s World Cup Odds in ChatGPT New York Enacts Nation’s First Statewide Moratorium on Data Centers Brown Professor Suspects Majority of His Class Used A.I. to Cheat MiniMax CEO Vows to Forgo Salary Until Achieving A.G.I. Lorde Speaks Out — With Expletives — Against A.I. Glasses Nearly 6 in 10 Young Women Get Health and Wellness Information from Influencers Meta Removes A.I. Feature on Instagram After Days of Backlash We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Practical AI
The Future of AI Infrastructure with CoreWeave
As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps. Featuring: Corey Sanders – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Links: CoreWeave Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Blockbuster Blueprint
I've Helped 100+ Non-Technical People Adopt Agentic AI. They All Hit The Same Invisible Wall.
Quick Announcement: Tomorrow, at 12pm EST, my coach and deer friend Anand Rao, is teaching the second session of Augmented Awakening 2.0. The details to join it are at the bottom of this post. The article below is a stand-alone post, and it sets the context for why the class is so important right now.
Future-Proof Your Career with AI
6 "primitives" for agentic knowledge work
ChatGPT for Work and Claude Cowork are two peas in a pod
AI Maker
My Claude Skill for Automated Weekly Google Analytics Reports
A simple setup that turns scheduled CSV emails into an Artifact report so you can actually see what’s going on in your business.
DIGITAL STORM weekly
Podcast: You’re Using Claude Wrong #171b
We are honored to count you among the >600.000 readers of “DIGITAL STORM weekly” across platforms. Please help grow our community by inviting your friends.
DIGITAL STORM weekly
You’re Using Claude Wrong #171b
One model decision could multiply your company’s AI bill overnight
Michael Crist
How I Built a $200,000 Brand by Typing a Paragraph (Claude Design Tutorial)
A few years ago, one of the best agencies in the country quoted me $200,000 to rebrand a company I was running.
AI Maker
How I Built an AI Self-Discovery Loop With NotebookLM and Claude Code
One agent finds patterns, another challenges them, and a third compiles the evidence.
DIGITAL STORM weekly
Stop Using Claude Like This. #171
One routing mistake can turn powerful agents into runaway AI spend
AI Maker
How to Build an AEO Agent That Finds What AI Search Is Missing
A blueprint for researching the questions and finding the missing information around a topic before you publish.
Future-Proof Your Career with AI
Chat is dead. Agents are the new default.
AI Weekly Round-Up #41: Cowork gets a teams upgrade and 7 AI "hot takes."
Lenny's Podcast
How tech workers actually feel about AI in 2026 | Annual AI sentiment survey (Noam Segal)
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 shaken 2. 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 year 4. Why nobody in tech would recommend their job to someone entering the industry today 5. 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-being 7. 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/lenny Mercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/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
Automato
AI, LLMs, Open Source and Digital Sovereignty
Jenny made my homework but I added something else :)
Marketing AI in Action
I Built an AI Skill to Sharpen My Taste. Here’s how it works.
A content taste skill that can help sharpen your taste. Free to download.
Hard Fork
Do Social Media Bans Work? + A Conversation About A.I. Consciousness + Tool Time
This week, with news that the U.S. Supreme Court declined to take up Texas’ age verification law for app stores, we check in on how social media bans are going around the globe and what may be coming soon to a state near you. Then, we’re joined by Jeff Sebo, an associate professor at N.Y.U., to discuss new research into “A.I. welfare” and whether A.I. could ever become conscious. And finally, in our latest edition of Tool Time, we show each other some of the latest tech tools we’ve been experimenting with. Guest: Jeff Sebo, associate professor and the director of the Center for Mind, Ethics, and Policy at N.Y.U. Additional Reading: Why Social Media Bans Are Gaining Steam Four in Five Under-16s in Australia Using Social Media Despite Ban, Study Shows It Turns Out Banning Teens From Social Media Is Hard Studying A.I. Welfare Empirically A Global Workspace in Language Models We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Future-Proof Your Career with AI
Is Fable worth the hype?
I used up all my credits before they expired
AI Maker
How I Turned X Into a Research Engine Inside Claude Code
I no longer need to open X on my phone anymore; I just ask Claude instead.
Lenny's Podcast
Adam Mosseri: AI is a tailwind for authenticity
Adam Mosseri is the Head of Instagram, where he oversees an app used by over 3 billion people. He also leads the team building Threads. Adam has run Instagram for longer than its founders did, after taking over from Kevin Systrom and Mike Krieger in 2018. A designer by training, he spent over 15 years at Meta, starting as a designer on Facebook’s mobile app, rising to lead Facebook’s News Feed, and eventually chosen to lead Instagram. During his tenure, Instagram’s user base has more than tripled. In our in-depth conversation, we discuss: 1. How the canonical product team structure is changing in 2026, from baker’s-dozen specialist teams to lean pods of four to six generalists 2. The rise of the “product staff” role—a blending of PM, design, data science, and research into one generalist operator 3. Why Adam is bullish on designers even as functional boundaries dissolve, and which roles are most at risk 4. What the Instagram algorithm knows about you, and why it’s only now catching up to what people assumed it knew years ago 5. Why the rise of AI-generated content is a tailwind for Instagram, and how the company is thinking about creator identity in a synthetic-content world 6. The two biggest product failures of Adam’s career—Facebook Home and the first version of Reels — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/command?utm_source=lennys&utm_medium=sponsored_newsletter&utm_campaign=26q3_brand_campaign — Episode transcript: https://www.lennysnewsletter.com/p/adam-mosseri-ai-is-a-tailwind-for — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Adam Mosseri: • X: https://x.com/mosseri • LinkedIn: linkedin.com/in/mosseri • Instagram: https://www.instagram.com/mosseri • 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
Practical AI
Building Durable AI Agents
What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems. The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems. Featuring: Hamza Tahir – LinkedIn Daniel Whitenack – Website, GitHub, X Links: ZenML Kitaru Machine Learning Tools Landscape v2 (+84 new tools) Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Anthropic Red
Anthropic News
Anthropic News
Inviting hard questions
We’re asking the public for their hardest questions about AI, and committing to show our work as we address them.
DIGITAL STORM weekly
Podcast: The Claude Operating System #170b
We are honored to count you among the >600.000 readers of “DIGITAL STORM weekly” across platforms. Please help grow our community by inviting your friends.
AI Maker
I Spilled My AI Second Brain Setup
How I turn podcasts into insights and use /reflect to extract my thoughts with AI.
Limited Edition Jonathan
We Rewrote The Test.
This post is what we found, what we changed because of it, and where you can start today for free.
Future-Proof Your Career with AI
How to get the most out of Fable 5
AI Weekly Round-Up #40: Botsitting and Alex Karp on "AI Sovereignty"
AI Maker
Monthly Q&A #3: How I Think About Building One Repeatable AI Setup
Claude Code workflow, Codex, MCP vs CLI, and the practical setup that makes AI tools easier to reuse.
Limited Edition Jonathan
Your Agents Are Poisoning Each Other | Fable 5
In multi-agent workflows, one model's tone becomes another model's data. Here's the fix I'm testing.
Marketing AI in Action
The Rise of the 'AI Brains'. And Why Everyone Is Building One.
From Karpathy's LLM Wiki to Brian Halligan's digital twin, how the smartest people in tech are building AI systems that think, remember, and act on their behalf.
Hard Fork
Fable Ban Reversed + Dr. Dana Suskind on Parenting With A.I. + Prediction Market Drama
This week, the Commerce Department lifted its restrictions on Anthropic’s powerful A.I. models, Claude Mythos and Claude Fable. We dissect why the government took such a hands-on approach in the first place, how the restriction on the OpenAI model GPT 5.6 is likely to resolve and what, if anything, this tells us about A.I. competition with China. Then, Dr. Dana Suskind, a pediatric surgeon and the author of the forthcoming book “Human Raised,” stops by to discuss a framework she has developed to help parents make informed decisions about what kinds of A.I. products are safe for children. And finally, we introduce a new segment about prediction markets: Against All Odds. Guest: Dr. Dana Suskind, founder and co-director of the TMW Center for Early Learning + Public Health at the University of Chicago and author of the forthcoming book “Human Raised: Nurturing Connection, Curiosity and Lifelong Learning in the Age of A.I.” Additional Reading: U.S. Lifts Restrictions on Anthropic’s Most Powerful A.I. Models U.S. Bars Foreigners From Using Anthropic’s Most Advanced A.I. Models Chinese A.I. Models Close the Gap With Anthropic and OpenAI The Donk-ing of a Truth Machine Mark Zuckerberg Directed Meta to Create a Prediction Markets App We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Future-Proof Your Career with AI
Meet my new AI CFO
I used Claude "Live Artifacts" to automate quarter end reconciliation
Blockbuster Blueprint
Blockbuster Live: The "Cognitive Harness" Opportunity (6/30/26)
Mental models turn AI into a sharper thinking tool through diverse perspectives, cognitive harnesses, and a demo of Michael's new skill, v2.
AI Maker
How to Use Claude Loop For People Who Write, Plan, And Build Things
A practical guide to using agent loops when you’re not coding.
Practical AI
Image Generation and Visual Intelligence with Black Forest Labs
How has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next. Featuring: Dustin Podell – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Black Forest Labs Developer Dashboard Research Page FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space Laying the Foundations for Visual Intelligence Sponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
DIGITAL STORM weekly
Podcast: #168b
We are honored to count you among the >600.000 readers of “DIGITAL STORM weekly” across platforms. Please help grow our community by inviting your friends.
DIGITAL STORM weekly
Claude Has Three Powers #169b
The dangerous setup every leader must understand before connecting work data.
How to AI
How to set up Claude Cowork.
After reaching 20 million people with my Cowork guides, I admit I was wrong:
Limited Edition Jonathan
Claude Sonnet 5 Just Dropped. Paste This Prompt to Find Out What It Means for YOU.
The model 90% of you will actually run just changed. Here's what it means for your stack.
Automato
Let's Own Our AI Stack
For makers, builders, knowledge workers, and freelancers using AI for life and work
Claude Skill of the Week
How to build your AI GTM system
The missing context layer in your AI GTM stack
AI Maker
How to Use GLM 5.2 Inside Claude Code for Pennies
Local AI models are getting close enough to test, and OpenRouter makes it easy to plug in.
Anthropic News
Anthropic News
Redeploying Fable 5
Fable 5 returns globally July 1. We're also proposing an industry-wide framework for scoring jailbreak severity, together with Amazon, Microsoft, Google, and other Glasswing partners.
Anthropic News
Anthropic News
Introducing Claude Sonnet 5
Sonnet 5 delivers frontier performance across coding, agents, and professional work at scale.
DIGITAL STORM weekly
Before You Ask Claude #169
Make sure your private work is not sitting in the wrong account.
AI Maker
What Actually Helps Me Stop Hitting Claude Code Usage Limits
How to save tokens, reduce wasted context, and make Claude Code guess less.
Future-Proof Your Career with AI
The rebel alliance
AI Weekly Round-Up #39: How Coinbase manages AI spend, Claude comes to Slack and file systems as "primitives"
Lenny's Podcast
OpenAI Codex lead on the new shape of product work | Andrew Ambrosino
Andrew Ambrosino leads development of the Codex desktop app at OpenAI. Nearly 100% of OpenAI employees—not just engineers—now use Codex weekly. A lifelong builder with a background spanning engineering, design, product management, and founding companies, he is now responsible for turning the Codex desktop experience into what he calls “the best desktop app that has ever existed, full stop.” In our in-depth conversation, we discuss: 1. Why AI has completely flipped the product development process 2. What “taste” really means as a professional skill, and why it is emerging as the most valuable capability in an AI-first workplace 3. Why Andrew believes the Codex app would have failed if they launched it last November (vs. in February) 4. The “zone defense” model for how product managers at OpenAI operate when everyone can build anything 5. How roles are collapsed on Andrew’s team, and why eliminating the concept of roles entirely is a big mistake 6. How Andrew uses Codex to run his own workflows 7. The vision for a home base that coordinates work across ChatGPT, Codex, and the tools people already use. — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Mercury—Radically different banking, now with Command — Episode transcript: https://www.lennysnewsletter.com/p/openais-codex-lead-on-the-new-shape — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Andrew Ambrosino: • X: https://x.com/ajambrosino • LinkedIn: https://www.linkedin.com/in/ajambrosino • Website: https://ambrosino.io — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Andrew Ambrosino (02:30) How AI is changing the shape of product work (06:32) When to use documents vs. prototypes (10:25) What “taste” actually means (12:06) Why AI is still bad at design (16:18) Is the design process really dead? (21:35) What the design process looks like on the Codex team (23:41) Are product functions disappearing? (27:22) Team structure (30:12) IC vs. management (31:37) Planning roadmaps (35:16) Building features that don’t work yet (38:13) The ambition problem: when you’re too AGI-pilled (39:17) The latest frontier: loops and autonomous development (52:05) How Andrew uses Codex to automate his entire job (46:52) The power of computer use and browser automation (49:10) Will we run all our SaaS apps inside Codex? (52:05) The future vision for Codex (57:20) The videographer who built a Premiere Pro extension with Codex (59:30) Failure corner (1:01:50) Lightning round (1:07:03) BTS: How our producer uses Codex for editing — References: https://www.lennysnewsletter.com/p/openais-codex-lead-on-the-new-shape — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Nano Thoughts
The Church of Recursive Self-Improvement
On the surface, Silicon Valley’s AI boom looks like a classic venture capital money fever.
Gary Marcus
The month Generative AI lost its mojo
June is not over, and anything could still happen, but a lot already has.
Marketing AI in Action
If I Had to Build My Audience From Zero Today, Here's What I'd Do
The principles I learned the hard way, and how the AI content system I built helps me implement them.
Hard Fork
‘The Daily’ and ‘The Opinions’: How A.I. Is Changing Loneliness and Taste
This week, we’re bringing you two A.I.-related stories from our colleagues at The New York Times. First, Rachel Abrams, a host of “The Daily,” talks with the Times reporter Eli Saslow about a woman in a remote part of Washington who is using an A.I. companion robot to keep her independence, and to keep her company. Then, the Times Opinion culture editor Nadja Spiegelman talks to the New Yorker writer Kyle Chayka and the journalist and critic Sophie Haigney. They get into the rise of “taste slop” and what happens to culture if the internet collapses into just a few chatbots that serve us everything. “Hard Fork” will be back with an original episode next week. Guests: Eli Saslow, a reporter for The New York Times who writes in-depth stories about the impact of major national issues on people’s lives. Kyle Chayka, staff writer at The New Yorker covering technology and online culture. Sophie Haigney, a critic and journalist. Additional Reading: Can A.I. Make People Feel Less Lonely? What Silicon Valley Is Coming for Next We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Future-Proof Your Career with AI
I built a self-improving "company brain"
Using Claude Code to manage large amounts of context
AI Maker
How I Run My Entire Notion From Claude Code (Without Clicking Around)
The CLI that lets me build, fill, and query any database by just describing what I want.
DIGITAL STORM weekly
Podcast: Why Claude Changed The AI Risk Equation #168b
We are honored to count you among the >600.000 readers of “DIGITAL STORM weekly” across platforms. Please help grow our community by inviting your friends.
Practical AI
AIUC-1: Building trust in AI agents
How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption. Featuring: Emil Lassen – LinkedIn Daniel Whitenack – Website, GitHub, X Links: Artificial Intelligence Underwriting Company Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Blockbuster Blueprint
Last Chance To Join The First Agentic Academy For Knowledge Work
Two new bonuses: unlimited one-on-one support + results guarantee
Future-Proof Your Career with AI
Codex takes control of your computer
AI Weekly Round-Up #38: Using more CLIs and the most AI-pilled CEO
Lenny's Podcast
What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams)
Fiona Fung leads the teams behind Claude Code and Cowork at Anthropic (overseeing Boris Cherny and the entire engineering and PM team). Before Anthropic, she spent 11 years at Microsoft building Visual Studio and TypeScript and then moved to Meta, where she started Facebook Marketplace (now generating over $100 billion in GMV annually), worked on Meta’s first smart glasses and AR glasses, and led infrastructure, growth, integrity, and safety teams at Instagram. She’s been an engineer for over 25 years and has a unique perspective on how the role of building software is changing. In our in-depth conversation, we discuss: 1. What she’s learned about running a team that’s shipping 8x more code than before 2. Which roles AI will transform next 3. Specific ways her team uses AI 4. How Claude “routines” have changed how she operates as a manager 5. The context-switching problem no one has solved yet 6. The biggest unsolved problem in AI 7. What keeps her up at night — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/ — Where to find Fiona Fung: • LinkedIn: linkedin.com/in/fionafung — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Fiona Fung (02:31) How the engineering role has transformed over 25 years (09:28) What an AI-pilled software team looks like in 2026 (12:26) Using Claude to manage and review team output (14:40) The evolution of code review and verification (16:55) Who to hire: creative builders and deep systems experts (18:18) The shift to ambitious thinking (19:40) The growth mindset required to thrive in AI-native teams (25:52) Helping small businesses adopt AI tools (31:46) How Anthropic spots latent demand and builds for it (35:08) The next frontier: asynchronous work with AI routines (38:06) Agency and accountability in AI-native teams (39:40) The vibe shift from token-maxing to ROI measurement (44:24) The “bad vs. sad” quality framework (49:34) Why all managers start as ICs at Anthropic (55:24) Preventing skill atrophy (58:43) Managing context switching with 20 AI agents running (1:00:08) How PM and data science roles are transforming (1:03:40) The importance of dogfooding and using your own product (1:08:36) Outstanding questions (1:12:48) The future of engineering jobs and education (1:17:59) What keeps Fiona up at night: team culture at scale (1:22:53) From six-month roadmaps to JIT (just-in-time) monthly planning (1:27:03) Lightning round — References: https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Blockbuster Blueprint
This Is The Best Demo Of What Agentic Knowledge Work Looks Like
This 80-minute screen share from an AI pro walks you through an agentic system step by step
Michael Crist
2 Prompts That Build Beautiful Dashboards (Cowork Tutorial)
Paste two prompts, point them at any sheet, and watch a real dashboard build itself. The practice file comes with it.
Hard Fork
‘Hard Fork’ Live, Part 3: Differing Visions of an A.I. Future
We’re back with our final installment from Hard Fork Live, recorded at the Yerba Buena Center for the Arts in San Francisco. In this episode, we’re joined by Sayash Kapoor and Daniel Kokotajlo to talk about their differing visions of A.I. transformation: why Sayash thinks A.I. will diffuse throughout society like a “normal” technology, and why Daniel thinks an unprecedented acceleration is just around the corner. Then we’re joined by George Ekas from Toborlife AI, along with his dancing robot Toby. Finally, the podcaster Dwarkesh Patel drops by, and we take a few questions from the live audience. Guests: Sayash Kapoor, an A.I. researcher at Princeton University and a co-author of the newsletter “AI as Normal Technology” Daniel Kokotajlo, the executive director of the AI Futures Project and a co-author of “AI 2027” George Ekas, the director of engineering at Toberlife AI Dwarkesh Patel, a tech podcaster Additional Reading: This A.I. Forecast Predicts Storms Ahead AI as Normal Technology Common Ground Between AI 2027 & AI as Normal Technology Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Marketing AI in Action
Stop outsourcing your marketing intelligence to AI. Do this instead.
How to turn your team's marketing intelligence into your most valuable asset, one that compounds with every marketing campaign and doesn't leave when your best people do.
Future-Proof Your Career with AI
The power user's guide to Claude skills
Skills are so much more than reusable prompts
Hard Fork
‘Hard Fork’ Live, Part 2: Dylan Field on Standing Out in the A.I. Era
We’re back with more from our live event at the Yerba Buena Center for the Arts in San Francisco. In this episode, we sit down with Dylan Field, a founder and the chief executive of the design company Figma, for what he describes as a “roller coaster” of a conversation. We cover everything from the company’s “Design Is Dead” campaign to the sudden resignation of the Anthropic executive Mike Krieger from Figma’s board. Then, we close things out with a special musical performance by eight wooden robotic dolls that make up the Teenage Engineering Choir. One quick correction to note: In our interview with Field, he makes reference to the SpaceX S-1 filing and misstates what the company says their addressable market for A.I. enterprise applications is. Field says “$22.9 trillion,” but the correct number from the SpaceX filing is $22.7 trillion. The decimal point makes it look small, but it’s a difference of $200 billion. We’ll be back on Friday with our final installment of “Hard Fork” Live. Guests: Dylan Field, chief executive and co-founder of Figma. Dan Powell, robot conductor, New York Times music composer and “Hard Fork” theme-song creator. Teenage Engineering Choir Additional Reading: This Start-Up’s $20 Billion Sale Died. It Came Fighting Back. We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Limited Edition Jonathan
Build your own Claude agent fleet.
The votes are in - the guide is official.
Michael Crist
How To Look Unfairly Competent the Next Time You Present
One prompt turns your raw data into a fully animated deck (in about twenty minutes, not five hours)
Future-Proof Your Career with AI
The AI Shift in Investing
AI Weekly Round-Up #37: Building skill libraries and a new podcast
Lenny's Podcast
The hidden pattern behind successful products | Mark Pincus (founder of Zynga)
Mark Pincus founded Zynga—the company behind Words With Friends, FarmVille, and Zynga Poker—and has arguably created more hit consumer products than anyone in history. At Zynga, eight of 10 major game launches became massive hits, reaching over a billion players. Over the past five years, Mark has been synthesizing everything he’s learned about building successful consumer products and turning it into a book, Life at the Speed of Play, which comes out on June 23. This is the first interview he’s done about the book. In our in-depth conversation, we discuss: 1. His “Proven, Better, New” framework: copy what’s proven, make it better so that 10 out of 10 people say “f*ck yes, I’ll use this”—then add something new 2. Why being less ambitious is the path to the most ambitious ideas 3. His rule of thumb that your instincts are right 95% of the time, but your ideas are wrong 75% of the time 4. “Kill hope before hope kills you” 5. How to raise kids in the age of AI — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more Vanta—Automate compliance, manage risk, and accelerate trust with AI — Episode transcript: https://www.lennysnewsletter.com/p/the-common-pattern-behind-successful — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Mark Pincus: • X: https://x.com/markpinc • LinkedIn: https://www.linkedin.com/in/markpincus • Website: https://www.lifeatthespeedofplay.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Mark Pincus (02:46) The Proven Better New framework overview (07:29) Earning the right to innovate (08:30) What “better” really means (12:03) Quick summary of the framework (12:40) Examples of the framework in action (13:30) How to use proven correctly on your platform (15:13) The moral arbitrage of copying (23:55) Be less ambitious (28:25) The Bolt.new story and staying humble (33:15) Kill hope before hope kills you (37:00) Using AI as a failure machine (40:08) Why Zynga’s games succeeded (it wasn’t virality) (48:36) The future of consumer social apps (57:05) How to know if your product is a B+ (1:01:25) Distribution in the age of AI (1:15:39) Make everyone a CEO (1:18:18) Stay close to the metal (1:21:35) Why Mark says micromanagement is beautiful (1:23:35) The expert witness (1:25:05) The number one job of a CEO is to be right (1:26:35) What Mark is teaching his five kids (1:35:14) Mark’s “why” (1:37:08) Mark’s new book: Life at The Speed of Play — Referenced: • Tribe.net: https://en.wikipedia.org/wiki/Tribe.net • Zynga: https://www.zynga.com • Sid Meier: https://en.wikipedia.org/wiki/Sid_Meier • Electronic Arts: https://www.ea.com • CityVille: https://en.wikipedia.org/wiki/CityVille • Words With Friends: https://wordswithfriends.com/ • Scrabble: https://playscrabble.com • Reddit: https://www.reddit.com • TED Radio Hour, MIT Media Lab founder, 1984 TED talk.: https://www.ted.com/talks/nicholas_negroponte_5_predictions_from_1984 • Peter Thiel on LinkedIn: https://www.linkedin.com/in/peterthiel • FarmVille: https://en.wikipedia.org/wiki/FarmVille • Craig Newmark: https://en.wikipedia.org/wiki/Craig_Newmark • How to consistently go viral: Nikita Bier’s playbook for winning at consumer apps (co-founder of TBH, Gas, advisor, investor): https://www.lennysnewsletter.com/p/how-to-consistently-go-viral-nikita-bier • Angry Birds: https://www.angrybirds.com/ • OMGPop: https://en.wikipedia.org/wiki/OMGPop • Draw Something: https://en.wikipedia.org/wiki/Draw_Something • Slack founder: Mental models for building products people love ft. Stewart Butterfield: https://www.lennysnewsletter.com/p/slack-founder-stewart-butterfield • Brian Chesky’s new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach • Garry Tan on LinkedIn: https://www.linkedin.com/in/garrytan • Brian Armstrong on LinkedIn: https://www.linkedin.com/in/barmstrong • Jason Citron on X: https://x.com/jasoncitron • Stanislav Vishnevskiy on LinkedIn: https://www.linkedin.com/in/svishnevskiy • Jeff Bezos on X: https://x.com/JeffBezos • Andy Jassy on X: https://x.com/ajassy • Niantic: https://nianticlabs.com • Pokémon Go: https://pokemongo.com • Bing Gordon on LinkedIn: https://www.linkedin.com/in/binggordon — Recommended book: • Life at the Speed of Play: Launch Products People Love!: https://www.amazon.com/Life-Speed-Play-Launch-Products/dp/0063352575/ref=tmm_hrd_swatch_0 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Automato
Apple WWDC and the Fable 5 Embargo: Industry Disruption and the Rise of Tech Sovereignty
For builders, makers, tech professionals, and business strategists
Limited Edition Jonathan
I Told Claude to Audit Itself (Then Fix What It Found)
The difference is never going to show up in a better email.
Hard Fork
‘Hard Fork’ Live, Part 1: Satya Nadella and Cindy Cohn
This week and next, we’re bringing you recordings from our second-ever live taping in San Francisco. First, we sit down with Microsoft’s chief executive, Satya Nadella, to hear what he’s maxing out his A.I. tokens on, why he’s skeptical that software developers will ever be fully replaced, and how he’s hoping to create a new business model for Xbox. Then, Phil Mohun tells us what it has been like to watch people in the Bay Area interact with two robot dogs that wear the faces of Elon Musk and Mark Zuckerberg. And finally, we talk with the longtime privacy defender Cindy Cohn about where things stand in the fight to protect internet users from digital surveillance by Big Tech and the government. Guests: Satya Nadella, chairman and chief executive of Microsoft. Phil Mohun, executive director of Node. Cindy Cohn, former executive director of the Electronic Frontier Foundation and author of “Privacy’s Defender: My Thirty-Year Fight Against Digital Surveillance.” Additional Reading: Microsoft C.E.O. Satya Nadella Says, ‘Everyone Is a Stakeholder’ in A.I. Node presents “Beeple: /Infinite_Loop” We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Marketing AI in Action
3 Marketing Jobs Worth Paying 2x For: A Fable 5 UseCase Guide
Fable 5 is out. The internet is a buzz with use cases. But, is it really worth paying the extra premium for if you're a marketer?
Future-Proof Your Career with AI
I built a "headless CRM" in Codex
How to connect Gmail and iMessage to build better relationships
Practical AI
Zero Trust for AI Agents
As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic’s Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Zero Trust for AI Agents OWASP GenAI Project Sponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Blockbuster Blueprint
Augmented Awakening with Anand Rao (June 9, 2026)
AI-powered skills for clearer thinking & decisions: use the Prioritizer to cut overwhelm, then a meta-skill that evolves from your patterns.
Blockbuster Blueprint
AI Thought Leader School: AI Mental Models - Continued (6/8/26)
AI mental models, second-order effects & more — Michael teaches System 3 Thinking, live AI demos, and announces the new Agentic Academy launch.
Blockbuster Blueprint
Enrollment Is Now Open For The Agentic Academy
The optional prep session is Monday, June 15. The full 10-week cohort starts Monday, June 22.
Limited Edition Jonathan
Claude Fable 5 Just Dropped. Overkill? Paste This Prompt to Find Out What It Means for YOU.
A guarded frontier model that can refuse you and bill you double. One prompt tells you what actually changes for your stack.
One Useful Thing
What it feels like to work with Mythos
Claude Fable represents another big jump in AI
Anthropic Red
Future-Proof Your Career with AI
Your AI budget is growing. Your returns aren’t.
AI Weekly Round-Up #36: The "Class of AI" enters the workforce
Lenny's Podcast
Father of the iPod and iPhone on building taste, judgment, and creativity in the AI era | Tony Fadell
Tony Fadell created the iPod, co-created the iPhone, and founded Nest (which he sold to Google for $3.2 billion). He’s co-authored over 300 patents, was part of the legendary team at General Magic, and wrote one of the most important and inspiring books for builders, called Build. In our in-depth conversation, we discuss: 1. The heated internal debates about whether the iPhone should have a physical keyboard 2. Why opinion-based decisions are essential for v1 products 3. Why marketing matters as much as the product itself, and how the iPod almost failed 4. Why voice will eventually become the primary interface with AI 5. Why cognitive surrender to AI is the biggest risk facing product builders today — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/father-of-the-ipod-and-iphone-on — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Tony Fadell: • X: https://x.com/tfadell • LinkedIn: https://www.linkedin.com/in/tonyfadell • Website: https://www.buildc.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Tony Fadell (02:23) The Blackberry vs. iPhone keyboard debate (07:50) Micromanaging vs. kind lies: what great products actually need (15:57) The Nest thermostat and smoke alarm story (21:22) How to decide what’s worth building: pain plus new technology (27:36) The three-generation rule: why nothing works the first time (34:20) The full customer journey: why marketing defines your product (40:53) The power of storytelling and the press-release-first approach (48:37) The evolution of product management and the builder role (50:27) Why AI-generated code creates brittle, unmaintainable products (58:00) Storytelling techniques (1:05:45) The next iPhone (1:13:15) Hardware is back (1:17:01) What Tony is most excited about (1:21:38) Working with Tony (1:25:36) Ethics, morals, and the responsibility of product builders (1:32:40) How to connect with Tony and Build Collective — References: https://www.lennysnewsletter.com/p/father-of-the-ipod-and-iphone-on — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
How to AI
being good at ai is (stupidly) simple
a survival guide to AI, written like IKEA instructions:
Blockbuster Blueprint
Announcing The Agentic Academy For Knowledge Work
If you’ve been reading this newsletter recently, you know this…
Marketing AI in Action
How to Build Your Career in the Age of AI. You’re Being Lied To
Every billionaire and podcaster is telling you the same thing about building your career in AI. None of them have to live by it. Here's what I'd do.
Hard Fork
Hot I.P.O Summer + What Is A.I. Doing to Math? + HatGPT
SpaceX, Anthropic and OpenAI are all racing to the public markets. We discuss what their I.P.O.s mean for the industry, charitable giving and anyone invested in an index fund. Then, more than 1,000 mathematicians signed a declaration this week raising concerns about the use of A.I. in their field. Author Kevin Hartnett joins to explain what the fuss is all about. And finally, we run through the biggest headlines of the week — including the new executive order on A.I. — in a round of HatGPT. Guest: Kevin Hartnett, author of The Proof In the Code: How a Truth Machine is Transforming Math and AI Additional Reading: Anthropic Files to Go Public, Setting Stage for Huge I.P.O. As A.I. Makes Strides in Mathematics, Mathematicians Urge Caution An SF Startup Is Secretly Testing Robots in Airbnbs, and Trashing Them, Lawsuit Claims Trump Signs Executive Order Seeking Oversight of A.I. Models U.S. Is Said to Be Investigating George Santos Over Kalshi Betting Hackers Simply Asked Meta AI to Give Them Access to High-Profile Instagram Accounts. It Worked United Flight Forced to Turn Around Because of a Bluetooth Speaker Name ‘Survivor’ Boss Jeff Probst Says Kalshi and Polymarket Are ‘Incentivizing People to Lie, Cheat and Steal’; Kalshi Is Now Considering Measures to Prevent Spoilers We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Blockbuster Blueprint
Announcing Augmented Awakening 2.0
12 classes / better skills / upgraded for the agentic paradigm
Future-Proof Your Career with AI
11 ready-to-use AI skills to help you work faster
My quest to grow an open-source skill library
Practical AI
Breaking down the 2026 Stanford AI Index Report
AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI’s “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: The 2026 AI Index Report Sponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Senior Storyteller
Senior Storyteller
How to Build Your Own RSS Reader
A recording from Senior Storyteller and Wyndo's live video
Anthropic Red
Anthropic Red
Mapping AI-enabled cyber threats: Insights from the LLM ATT&CK Navigator
Mapping AI-enabled cyber threats: Insights from the LLM ATT&CK Navigator
Michael Crist
I Cloned a $168 App From the Toilet
I'm not technical, and I replaced a $168-a-year app with one I built for free. Inside: how I did it, and a simple test for spotting the tools you could do the same to.
Blockbuster Blueprint
AI Thought Leader School: Steps To AI Blockbusters (6/1/26)
AI writing, mental models & the agentic AI shift: break content into steps, use AI smarter, and turn your expertise into scalable systems now.
Lenny's Podcast
A rational conversation on where AI is actually going | Benedict Evans
Benedict Evans is an independent analyst and former partner at Andreessen Horowitz, where he spent years as their in-house “thinker” tracking the most important technology trends. For the past six years, he’s been publishing deeply researched presentations on where tech is heading, most recently focused on AI’s transformation of the economy. His work is read by founders, investors, and operators trying to make sense of a noisy field. His most controversial opinion: AI is as big a deal as the internet or mobile—and only as big. In our in-depth conversation, we discuss: 1. Why we’re in “1997” for AI—early, exciting, and deeply uncertain about what comes next 2. Where value will actually accrue in the AI stack 3. The anti-AI backlash, and where it may lead 4. The surprising boom in consulting and professional services at AI companies 5. Why distribution is becoming the ultimate moat as software gets easier to build 6. Why the right question about your job isn’t “What percent can AI do?” but “Is this a task or a job?” 7. Why things will probably be okay—and what you need to do to prepare — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Benedict Evans: • LinkedIn: https://www.linkedin.com/in/benedictevans • Newsletter: https://www.ben-evans.com/newsletter • Website: https://www.ben-evans.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Benedict Evans (02:19) What people aren’t pricing in about AI’s impact (06:24) Why we’re in the 1997 moment of AI (09:44) The unexpected boom in professional services and consultants (17:44) Why distribution is becoming the ultimate moat (23:17) The coming job transformation: what’s real vs. panic (27:33) Why AGI definitions keep shifting (38:11) Where value will accrue: models vs. applications (42:55) Distribution wars: Google, Meta, Apple, and OpenAI (48:12) The anti-AI sentiment and backlash (53:11) How to raise kids in an AI future (58:27) What jobs to steer toward or away from (59:20) The question nobody’s asking about AI (1:06:25) How to be successful in this coming future (1:08:43) AI corner (1:11:43) Lightning round — Referenced: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Marketing AI in Action
How to Rebuild Your Marketing Team for the Agentic Age. Full Breakdown.
Turn a traditional marketing org into an intelligence system that gets smarter every day.
Hard Fork
Interesting Times: Why Are We Still Driving?
The “Hard Fork” team is taking a break this week as we prepare for our upcoming live show in San Francisco. While we’re away, we’re bringing you a recent episode of “Interesting Times” with Ross Douthat that we really enjoyed. In this episode, Ross talks with Andrew Miller, writer of the transportation policy newsletter “Changing Lanes” and co-author of the book “The End of Driving.” Together, they explore the potential benefits of driverless cars — from fewer car crashes to reclaimed time and attention — as well as what could be lost if we don’t have to be in the driver’s seat anymore. Guest: Andrew Miller, writer of the newsletter “Changing Lanes.” Additional Reading: A full transcript and video of this episode can be found here. We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Practical AI
Rebooting Enterprise AI with MCP and Kubernetes
What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes. Featuring: Craig McLuckie – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Stacklok Toolhive Sponsors: Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Blockbuster Blueprint
Blockbuster Live: How To Improve Your Productivity With AI (5/26/26)
AI productivity through mental models & systems: how to embed frameworks into skills, prompts, and agentic workflows to dramatically amplify output quality.
One Useful Thing
Choosing to Stay Human
If you go to your favorite social media site, you will find it full of posts that start to look suspiciously similar to each other:
Michael Crist
How to Automate Every Meeting On Your Calendar with 1 Cowork Agent (Prompts Included)
For anyone in 20+ hours of meetings a week who forgets half by Friday. The full build (every prompt included) that makes you look like you remember everything.
Automato
A Digitalization Case Study for Production Businesses
From no IT area, through workflow automation, to AI implementation
Lenny's Podcast
The AI paradox: More automation, more humans, more work | Dan Shipper
Dan Shipper is the co-founder and CEO of Every, a media and software company that’s become a living laboratory for the future of work. Everyone at his company of about 30 people is an AI early adopter; from editors to ops people, they use AI to do much of their work, giving Every a unique lens into where the world is heading. A year ago on this show, Dan predicted that people were sleeping on Claude Code for nontechnical work, which proved to be remarkably prescient. Today he’s back with another set of calls: the SaaS apocalypse is dumb, CLIs are over, the forward deployed engineer is the most valuable new hire, and the only thing you need to do to stay employed is ride the models. Dan’s predictions: 1. The future of work will happen inside Codex or Claude Code. 2. Every company will have one “super-agent” inside their Slack that every employee talks to regularly. 3. SaaS is not dead—in fact, Dan is bullish on SaaS stocks. His contrarian take: “I would buy SaaS stocks right now.” 4. SaaS economics will shift: users will bring their own AI tokens into apps, which actually improves SaaS margins. 5. PMs will thrive in the AI era. 6. Full-stack designers will become superheroes. 7. The AI job apocalypse is not happening. 8. Forward deployed engineer is the new most essential role. 9. CLIs are over. 10. Automation is a lie. 11. We will read way more AI-generated writing and we will like it. 12. We’ll be building software for humans and agents to use together. — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Dan Shipper: • X: https://x.com/danshipper • LinkedIn: https://www.linkedin.com/in/danshipper/ • Podcast: https://every.to/podcast • Website: https://danshipper.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Dan Shipper (02:56) Dan’s unique position living in the AI future (09:17) How the way we work will change in the coming year (16:39) The case for general agents (18:08) Codex and Claude Code as the new operating system for work (25:39) How Cursor fits in (27:42) How this changes what SaaS companies should build (31:13) Why CLI is already over (33:34) Two agents are better than one (36:22) Why Dan is bullish on SaaS stocks (39:01) Why automation doesn’t reduce human work (47:00) The value of human-written code (48:36) Quick recap (50:15) How work is changing (56:17) Why data scientists are drowning in bad analysis (58:24) Which product/tech roles are least changed by AI (1:02:17) We will read way more AI-generated writing and we will like it (1:08:28) Why product managers will dominate the AI era (1:11:05) Full-stack designers are the other big winners (1:13:11) The AI job apocalypse won’t happen (1:16:00) How to “ride the models” to stay relevant (1:21:02) Final predictions and advice (1:25:24) Lightning round — References: https://www.lennysnewsletter.com/p/the-ai-paradox-dan-shipper — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Michael Crist
7 Prompts That Make ADHD a Cheat Code at Work
AI is freakishly good at the executive-function tasks your ADHD brain refuses to do. Here are the prompts.
Marketing AI in Action
The 4 New Claude Code Features for GTM Operators
Here's what shipped, why it matters for GTM, and exactly how to use it
Hard Fork
Our Field Trip to Google I/O + A Sit-Down With Sundar Pichai + System Update
This week, we headed to Mountain View, Calif., for the annual developer event Google I/O. We share our reactions to Google’s biggest announcements, including a revamped search box, new agentic tools that compete with OpenClaw and an updated flash model of Gemini that the company says is faster than competitors. Then, we ask Sundar Pichai, the company’s chief executive, how he’s responding to growing evidence that the public is souring on A.I., what advice he’d give to college grads frightened by the current job market and where the company stands relative to competitors in the A.I. race. Finally, we run through the other big tech headlines of the week in our segment System Update. Guest: Sundar Pichai, chief executive of Google. Additional Reading: Google Changes Its Search Box for the First Time in 25 Years How Google Is Starting to Win the A.I. Race Elon Musk Loses $150 Billion Suit Against OpenAI and Sam Altman Before Mass Layoffs, Meta Reassigns 7,000 Workers to Focus on A.I. Pope to Launch Encyclical on AI Alongside Anthropic Co-Founder Was a Story That Just Won a Literary Prize A.I.-Generated? Book on Truth in the Age of A.I. Contains Quotes Made Up by A.I. We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Anthropic Red
Blockbuster Blueprint
"I'm Not A Programmer” Will Be The New “I Can’t Read" In 5 Years
Why Creating Software Will Be The New Reading And Writing
Practical AI
Hermes Agent: Agents that grow with you
Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate? Featuring: Jeffrey Quesnelle – Website, LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Nous Research Hermes Agent Sponsors: Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalai Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Blockbuster Blueprint
AI Thought Leader School: AI Ideas (5/18/26)
I research briefs power thought leadership ideas. Use mental models & the critical counterintuitive to find ideas that challenge consensus.
Michael Crist
The Non-Technical Person's Guide to Prompting
Almost everyone does this wrong, every day, and never notices. I did too, for years.
Nano Thoughts
Rent the Intelligence. Own the Context.
In a recent X post, Chamath warned consulting firms that deploying Anthropic or OpenAI directly into their organizations is “letting the fox into the hen house.” That warning feels sharper after OpenAI launched the OpenAI Deployment Company, a majority-owned venture built to help organizations deploy AI systems, backed by $4 billion of initial investment and partners including TPG, Advent, Bain Capital, Brookfield, Bain & Company, Capgemini, and McKinsey (
Automato
The AI Business Readiness PDF Is Ready
17 AI Experts bridging the gap between business and tech - free to download
Lenny's Podcast
Why we’re at the beginning of the AI hardware boom | Caitlin Kalinowski (ex–OpenAI, Meta, Apple)
Caitlin Kalinowski was most recently at OpenAI helping build their robotics and hardware teams from scratch. Prior to that, she was head of AR glasses and VR hardware at Meta, where she led the teams building every generation of the Quest, Rift, and Orion, and was Meta’s first consumer electronics hire. Before this, she was technical lead on MacBook Air and Mac Pro at Apple, and helped engineer the original unibody MacBook Pro. She’s designed and engineered some of the hardest and most beloved consumer hardware products in history and is now focused on the next frontier: robotics. In our in-depth conversation, we discuss: 1. VR—what happened? 2. The coming memory price shock and why she’s telling startups to pre-buy now 3. How the technologies built for VR became the foundation of modern warfare 4. Why humanoid robots are still just prototypes, and what’s actually gating mass deployment 5. Lessons from Steve Jobs, Mark Zuckerberg, and Sam Altman 6. Why she left OpenAI — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/why-were-at-the-beginning-of-the — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Caitlin Kalinowski: • X: https://x.com/kalinowski007 • LinkedIn: https://www.linkedin.com/in/ckalinowski • Website: https://www.caitlinkalinowski.com — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ In this episode, we cover: (00:00) Introduction to Caitlin Kalinowski (02:32) Why VR didn’t take off despite incredible hardware (04:55) The future of AR glasses and physical AI (08:45) Why robotics and hardware are suddenly hot (13:33) Why humanoid robots aren’t ready yet (16:13) Supply chain bottlenecks threatening robotics (17:31) Why magnets and actuators are critical dependencies (20:51) The geopolitical implications of hardware supply chains (24:48) AI safety concerns with physical robots (26:50) Apple’s approach to hardware excellence (30:10) Building a hardware program from scratch at Meta (31:39) The Quest 2 cost reduction story (33:07) Critical principles for hardware development (39:58) The MacBook Air manila envelope moment (41:01) The butterfly keyboard situation (41:43) Lessons from Apple on customer feedback (44:46) The memory price crisis coming for hardware (49:31) How many components go into a robot (52:53) When to use off-the-shelf vs. custom components (55:02) How AI is changing hardware engineering (1:00:27) Why humanoids aren’t the answer for most use cases (1:03:05) When robots will build other robots (1:06:23) What makes a robot feel human and connected (1:09:15) Robots in the home (1:12:00) What the next five years look like (1:15:38) Why she left OpenAI (1:18:09) How to hire exceptional hardware teams (1:23:42) Lessons from Steve Jobs, Mark Zuckerberg, and Sam Altman (1:27:27) Failure corner (1:32:33) Lightning round — References: https://www.lennysnewsletter.com/p/why-were-at-the-beginning-of-the — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com
Claude Skill of the Week
Capture the customer story before the details fade
How to turn a customer interview into structured proof — verbatim quotes, sourced metrics, and a signature moment in every story.
Marketing AI in Action
Agentic-Led Growth: A New Model for How B2B Companies Grow
How we are rebuilding HubSpot's GTM around AI agents, and what every B2B team can learn from it
Hard Fork
A.I. Safety Is So Back + Mythos Mayhem with Nikesh Arora + Hot Mess Express
This week, between the president’s negotiations in China and a potential executive order, we discuss why the Trump administration seems to be changing its tune on A.I. safety. Then, Nikesh Arora, chief executive of Palo Alto Networks, the largest cybersecurity company in the world, gives us a firsthand account of where we stand in the race to secure the internet. And finally, we run through some of the wildest headlines of the week in a round of Hot Mess Express. Guest: Nikesh Arora, chief executive and chairman of Palo Alto Networks. Additional Reading: White House Considers Vetting A.I. Models Before They Are Released Chief Executives to Accompany Trump to China Is Anthropic’s New A.I. Really That Scary? It Depends Whom You Ask. Venmo Finally Takes Privacy Seriously Amazon Staff Use A.I. Tool for Unnecessary Tasks to Inflate Usage Scores Graduates Boo Commencement Speech About A.I. Dua Lipa Files $15 Million Suit Against Samsung for Using Her Face to Sell TVs EBay Rejects GameStop’s $55 Billion Takeover Bid Shein, Temu Trade Blows as UK Trial Spotlights Supply Chains People Are Seriously Pissed That Grindr Outed Them With Its Latest Madonna Advert Sam Altman Testifies That Elon Musk Wanted Control of OpenAI We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Nano Thoughts
Cheap Intelligence Makes Accountability Expensive
The strange thing about better AI is that it may not reduce the need for human judgment.
Automato
I Asked 17 AI Experts What Matters for Businesses. Here's What They Said.
Bridging Business and IT for AI Strategic Implementation
Practical AI
U.S. Congressman Beyer on AI challenges facing America and the World
U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world. Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself. Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate. This is an unusual and insightful conversation you don't want to miss! Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024: AI in the U.S. Congress Featuring: Congressman Don Beyer – Congress, LinkedIn, Bluesky, X Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Limited Edition Jonathan
One Agent. One Branch. One Worktree.
The simplest path to peaceful agentic coding.
Nano Thoughts
The Company That Remembers Itself
The next chapter of enterprise AI will not be one assistant that knows everything.
Blockbuster Blueprint
AI Thought Leader School: AI Research Brief (5/11/26)
Research systems beat raw expertise in the AI age. Build structured research briefs, use AI tools wisely, and design knowledge systems that compound over time.
Nano Thoughts
What Building a Company Brain for a Year Taught Me
We did not start by calling it Company Brain.
Lenny's Podcast
How to build a company that withstands any era | Eric Ries, Lean Startup author
Eric Ries is the author of The Lean Startup, a book that reshaped how a generation of founders think about building companies. His new book, Incorruptible, explains how successful companies are destroyed by failing to protect what makes them valuable, and how to change it. In our in-depth conversation, we discuss: 1. Why 80% of venture-backed founders are ousted within three years of going public 2. The governance structures that protect companies like Anthropic, Costco, and Novo Nordisk 3. The simple legal filing that takes two pages and could save your company 4. Financial gravity: why successful companies predictably get corrupted into mediocrity 5. Why mission-aligned companies like Anthropic reap major benefits from protecting their mission through governance 6. Why success won’t protect you—it instead makes you a bigger target — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/how-to-build-a-company-that-withstands — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Eric Ries: • X: https://x.com/ericries • LinkedIn: https://www.linkedin.com/in/eries • Website: https://www.incorruptible.co • Newsletter: https://news.theleanstartup.com/ • Podcast: https://ericriesshow.com • YouTube: https://www.youtube.com/@theericriesshow — 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 Eric Ries (02:26) Introducing Incorruptible (06:26) Protecting what you’ve built (11:35) Why founders get ousted (14:58) Too early, too late (19:32) The blueprint: ethos plus integrity (20:49) Novo Nordisk’s 100-year governance fortress (26:41) The Vectura Group and Philip Morris (33:16) The “harder is easier” principle (37:22) Cloudflare’s mission emergence story (42:43) Groupon’s email frequency death spiral (45:37) How to define your purpose (51:09) Mission-driven vs. mission-hopeful companies (54:46) Integrity: structural and personal (57:47) Shareholder primacy: the 40-year-old “natural law” (01:00:04) Public benefit corporations: the easiest protection (01:04:24) Downsides and objections (01:06:08) The Anthropic example: fastest-growing company ever (01:08:39) The torchbearers in every organization (01:10:37) The culture bank: deposits and withdrawals (01:12:28) OpenAI and Anthropic governance (01:16:21) Mission guardians explained (01:18:29) Spiritual holding companies (01:21:53) The founder control trap (01:25:25) Three things to do this week (01:30:10) AI alignment and human alignment (01:34:00) Conway’s law: org charts in architecture (01:37:31) Book resources and farewell — References: https://www.lennysnewsletter.com/p/how-to-build-a-company-that-withstands — 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
Marketing AI in Action
I built an AI Second Brain. It's made me a 10x better GTM leader
The single most impactful thing I've built with AI, and why every GTM leader needs one.
Hard Fork
Can the U.S. Rein in Prediction Markets? + Joanna Stern on Her Year of A.I. Experiments + Our Producer Goes to Attention School
This week we’re taking another look at prediction markets and a new series of scandals. Is Congress finally ready to rein them in? Then, the journalist Joanna Stern returns to the show to discuss her new book “I Am Not A Robot,” all about turning her life over to a chatbot for a year. And finally, Hard Fork’s Rachel Cohn reports back on her month attending classes at the Strother School of Radical Attention, the center of a movement to resist the commodification of attention by technology companies. Guests: Joanna Stern, chief everything officer at New Things Rachel Cohn, producer of “Hard Fork” Additional Reading: Soldier Used Classified Information to Bet on Maduro’s Ouster, U.S. Says Soldier Pleads Not Guilty in $400,000 Betting Case Over Maduro’s Ouster French weather service alerts police to tampering after suspicious Polymarket bets The Multi-Trillion-Dollar Battle for Your Attention Is Built on a Lie We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Claude Skill of the Week
The competitive intel that survives a live sales call
How to build battlecards your sales team will actually open — with sourced claims, planted landmines, and zero invented pricing.
Nano Thoughts
Company Brain, Part 4: Action Memory
Companies do not only forget what happened or why a decision was made.
Practical AI
The Myth of Model Wars: Open vs Closed AI in 2026
In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model wars” are becoming irrelevant. The conversation then dives into a bigger transformation, the rise of agentic systems, workflows, and AI-driven infrastructure. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Upcoming Events: Register for upcoming webinars here! Midwest AI Summit 2026
Nano Thoughts
Company Brain, Part 3: Interaction Memory
Almost everything important in a company happens in meetings, messages, or emails.
Blockbuster Blueprint
Blockbuster Live: Blockbuster Brain
Build an AI second brain with Claude Code. Learn how to automate data collection, apply cognitive operations, and turn raw notes into blockbuster content.
Nano Thoughts
Company Brain, Part 2: Factual Memory
In the first piece, I argued that a real Company Brain needs three kinds of memory: factual memory, interaction memory, and action memory.
Blockbuster Blueprint
Stanford Economist: AI Is Replacing Young People, Not Their Bosses (That's New And Devastating)
On a related note, my kids hate AI. After 30+ hours of research, I finally understand why.
Nano Thoughts
Company Brain: Why Most Companies Have Data But No Memory
One of the hardest parts of any organization is institutional friction.
Senior Storyteller
Why Claude's First Answer Is Never Good Enough
Never, ever accept the first pass from Claude Code
Lenny's Podcast
Why cultivating agency matters more than cultivating skills in the AI era | Max Schoening (Head of Product, Notion)
Max Schoening is head of product at Notion, where he’s been especially effective at getting designers and PMs to ship code, prototype in the terminal, and launch extremely successful AI products. He was previously a PM at Google, ran design at Heroku, was VP of Design (and a part-time engineer) at GitHub, and is a two-time founder. He’s one of the most AI-forward product leaders out there and one of the deepest thinkers on how AI changes how we build and use software. We discuss: 1. What’s most worked in getting designers and PMs to embrace AI 2. Why agency—not skills—is the thing that separates people who thrive from those who fall behind 3. How the first 10% of every project is now “free,” and what that means for product development 4. Max’s “tiny core” theory of great products: iPhone multitouch, the GitHub pull request, Notion blocks, Dropbox’s menu bar icon 5. Why the SaaSpocalypse is overstated 6. Why the amount of software has exploded but the quality hasn’t, and why that gap creates opportunity — Brought to you by: WorkOS—Make your app Enterprise Ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/why-cultivating-agency-matters-more — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Max Schoening: • X: https://x.com/mschoening • LinkedIn: https://www.linkedin.com/in/max-schoening • Website: https://max.dev — 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 Max Schoening (01:55) The origin story of designers coding at Notion (06:30) How much designers and PMs are shipping today (08:24) The balance between shipping code and strategic work (10:32) Why agency will help you thrive in the AI era (11:49) Examples of high agency at Notion (13:52) What we might lose as roles merge (15:56) Advice for developing agency (17:42) Malleable software explained (20:43) The Dieter Rams video and design philosophy (24:00) The SaaS apocalypse debate (28:25) How product building has changed in the past two years (30:27) What’s next in how we build products (34:16) Token spend and ROI conversations (37:39) Getting people to change how they work (39:04) Max’s AI stack (41:41) Which roles AI will transform next (44:26) When companies will start caring about ROI (48:38) Why Notion AI is so successful (51:47) How to ship more quickly while maintaining quality (56:40) Building taste through iterations (1:00:09) What matters most in building successful products (1:05:06) Using the jobs-to-be-done framework (1:07:28) Hot take on universal basic income (1:09:26) What Max would do with AGI (1:10:53) Contrarian corner (1:13:14) Failure corner (1:16:20) Advice for young people in Silicon Valley (1:19:20) Lightning round and final thoughts — Referenced: https://www.lennysnewsletter.com/p/why-cultivating-agency-matters-more — 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
Marketing AI in Action
The 'AI Fatigue'
You’re not the only person who’s overwhelmed by the pace of AI.
Hard Fork
OpenAI’s Big Reset + A.I. in the Doctor’s Office + Talkie, a pre-1930s LLM
This week, OpenAI announced a loosened partnership with Microsoft and an aggressive new strategy to secure computing power. We unpack what these updates signal about OpenAI’s business strategy and whether the company can scale while balancing a trial against Elon Musk and investor concerns over missed financial targets. Then, the A.I. researcher Dr. Adam Rodman, of Harvard Medical School, returns to tell us about the most significant ways A.I. is changing how doctors treat patients. And finally, can an LLM trained only on very old texts predict the future? We’re talking with one of the creators of the chatbot talkie. Guests: Dr. Adam Rodman, internal medicine physician at Beth Israel Deaconess Medical Center and assistant professor at Harvard Medical School. David Duvenaud, associate professor at the University of Toronto, former team lead at Anthropic and co-creator of talkie. Additional Reading: Microsoft and OpenAI Loosen Their Partnership Elon Musk and Sam Altman’s Epic Fight Heads to Court OpenAI Misses Key Revenue, User Targets in High-Stakes Sprint Toward IPO Take It From a Doctor: It’s OK if Your Medical Advice Comes From A.I. We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Yes, And Also No
[Ethics Watch] Google, the Pentagon, and the Part Where AI Ethics Gets Expensive
Turn out, Project Maven was the warning shot.
Michael Crist
How to Turn Claude Cowork into Your Chief of Staff (Tutorial)
The 20-minute setup that turns Claude into a coworker
Limited Edition Jonathan
Limited Edition Jonathan
Live with Paul Gibbons
A recording from Limited Edition Jonathan and Paul Gibbons's live video
Lenny's Podcast
Snapchat CEO: Why distribution has become the most important moat | Evan Spiegel
Evan Spiegel, the co-founder and CEO of Snap, is one of the very few people in the world who has successfully built and scaled a lasting consumer social product. Snapchat has nearly 1 billion MAUs, and Evan and his team invented some of the most important consumer products and features, including Stories, AR glasses, swipe-based navigation, the camera as the primary UX, and a lot more. In our in-depth conversation, we discuss: 1. Why distribution is now the biggest challenge for creating a consumer technology business 2. How Snap innovates at scale with a 9-to-12-person design team: no titles, no hierarchy, hundreds of ideas reviewed weekly with the CEO 3. Why a pure software business is no longer a moat, and what actually creates durable competitive advantages today 4. How AI is changing the way designers work and why they’re now shipping code 5. Why every major Snap feature was copied and how that forced the company to work differently 6. Evan’s prediction that humanity’s comfort with AI will be a bigger bottleneck than the technology itself 7. This year’s crucible moment for Snap — Brought to you by: WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny Vanta—Automate compliance, manage risk, and accelerate trust with AI: https://vanta.com/lenny — Episode transcript: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Evan Spiegel: • X: https://x.com/evanspiegel • Snapchat: https://www.snapchat.com/@evan • LinkedIn: https://www.linkedin.com/in/evan-spiegel • Website: https://www.spiegelfamilyfund.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 Evan Spiegel (02:28) Why consumer social products are so hard to build (04:31) How Snapchat cracked distribution with close friends, not network size (05:50) Why distribution is the new moat in the AI era (08:39) Snapchat’s innovation track record (and why software isn’t a moat) (11:39) Why Snap is betting on two of the hardest businesses: consumer social and hardware (16:00) Specs use cases (17:56) The innovation process (21:34) The velocity of design work at Snapchat (25:07) Why Evan says you must talk to customers (26:06) The origin story of Stories (28:25) How screenshot detection saved early Snapchat (31:03) Why they waited to hire PMs—and what role they play now (34:41) How AI is shifting the designer-PM-engineer triad (36:10) Design as an intentional bottleneck for product cohesion (37:24) Why staying close to customers matters for any leader (39:39) What Evan looks for when hiring designers (41:57) How to develop young design talent (44:16) Designers shipping code with AI—and the guardrails needed at scale (47:20) Using jobs-to-be-done to organize AI transformation (48:50) How the CEO job has changed over 15 years (51:30) Learning to communicate (54:08) Why this year is Snapchat’s “crucible moment” (56:22) Being the “middle child” in tech (57:51) Screen-time philosophy with four kids (ages 2 to 15) (1:01:08) AI Corner (1:04:02) Contrarian Corner (1:06:04) Lightning round and final thoughts — References: https://www.lennysnewsletter.com/p/snapchat-ceo-why-distribution-is — 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
Limited Edition Jonathan
GPT-5.5 Just Dropped. Paste This Prompt to Find Out What It Means for YOU.
One prompt separates real workflow changes from OpenAI's launch-day noise.
Marketing AI in Action
AI content all sounds the same. Here's a Claude Code skill to fix it.
Why everyone's using AI is creating the same content and how the Opposite-Start skill solves it
Limited Edition Jonathan
Own It: The Case for Taking Full Credit for Your AI-Assisted Work
You Don't Owe Anyone a List of Your Tools
Hard Fork
Tim Cook’s Legacy + The Future of U.B.I. With Andrew Yang + HatGPT
This week, Tim Cook announced he would step down as chief executive of Apple. We discuss what he got right and what he got wrong, and we offer some unsolicited advice for his replacement, John Ternus. Then, Andrew Yang joins us to discuss A.I.-powered job automation and why universal basic income may be making a comeback. And finally, we catch up on more recent tech news with a round of HatGPT. Guest: Andrew Yang, chief executive of Noble Mobile and author of “Hey Yang, Where’s My Thousand Bucks?” Additional Reading: Tim Cook Will Step Down as Apple C.E.O. Who Is John Ternus, Apple’s Low-Profile Leader? Why U.B.I. Is Making a Comeback His 2020 Campaign Message: The Robots Are Coming This Pasta Sauce Wants to Record Your Family Chinese Robot Beats Human Best Time in Half-Marathon, After a Stumble What Happens When A.I. Runs a Store in San Francisco? Meta to Start Capturing Employee Mouse Movements, Keystrokes for A.I. Training Data SpaceX Strikes Deal With Cursor for $60 Billion OpenAI Beefs Up ChatGPT’s Image Generation Model We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Automato
Build a Personal Task Manager in Claude, Without the Week I Wasted
Step-by-step prompts to build a task system that works, without the expensive mistakes.
Blockbuster Blueprint
AI Thought Leader School: The Second Industrial Revolution (4/20/26)
Industrial Revolution unlocks AI productivity now. Apply task decomposition, human load management, and build self-improving AI systems now.
Lenny's Podcast
How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product, Claude Code)
Cat Wu is Head of Product for Claude Code and Cowork at Anthropic, building one of the most important AI products of this generation. Before joining Anthropic, Cat spent years as an engineer and briefly worked in VC. Today, she’s interviewing hundreds of product managers who are trying to break into AI—and seeing firsthand what separates those who thrive from those who fall behind. We discuss: 1. How Anthropic’s shipping cadence went from months to weeks to days 2. The emerging skills PMs need to develop right now 3. Why you need to build products that don’t yet fully work, so you’re ready when the next model closes the gap 4. Cat’s most underrated AI skill: asking the model to introspect on its own mistakes 5. Why Claude’s personality is core to its success 6. Why Anthropic’s mission alignment eliminates the friction that slows most large organizations 7. Why “just do things” is the most important principle for working at AI-native companies — 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/why-half-of-product-managers-are-in-trouble — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Cat Wu: • X: https://x.com/_catwu • LinkedIn: linkedin.com/in/cat-wu • Newsletter: https://catwu.substack.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 Cat Wu (01:29) Working with Boris Cherny (04:29) What Anthropic looks for when hiring PMs (06:18) How to help your teams move fast (08:58) How PRDs and roadmaps have evolved at Anthropic (10:28) The Mythos model and Anthropic’s shipping velocity (11:54) What happened with the Claude Code source code leak (12:53) Integrating with OpenClaw (14:19) How the PM team is structured at Anthropic (15:42) How engineer and PM roles are merging (17:54) Why product taste is the most valuable skill (20:10) Where human brains will continue to be useful (22:23) How to stay sane in constant chaos (24:16) What gets sacrificed when you ship so fast (27:47) The /powerup command (28:32) Why Anthropic has been so successful (32:28) When to use Claude Code vs. Desktop vs. Cowork (35:58) Tips for getting started with Cowork (38:44) Demo: Using Cowork to build slide decks overnight (41:48) Cat’s PM tech stack and internal tools (46:47) Which teams use the most tokens (51:15) The emerging skills PMs need for AI companies (55:00) Why building evals is underappreciated (58:44) Why Claude’s character and personality matter so much (1:00:44) How new models force product changes (1:05:11) The vision for Claude Code and Cowork (1:07:22) Advice for thriving in an AI-driven world (1:09:18) Why 95% automation isn’t good enough (1:11:58) Build apps you use every day, not prototypes (1:13:41) The divide between AI skeptics and believers (1:15:19) Lightning round — Referenced: https://www.lennysnewsletter.com/p/how-anthropics-product-team-moves — 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
Michael Crist
ChatGPT Images 2.0 Just Became a Knowledge Worker Tool
Use this prompt to turn messy meeting notes into beautiful slides in less than five minutes.
Practical AI
The mythos of Mythos and Allbirds takes flight to the neocloud
In this Fully-Connected episode, Dan and Chris start with Anthropic's Mythos frontier model, parsing what is publicly known about its cybersecurity capabilities and projecting its possible implications from "We've been here before. 🙄" to "See ya, cybersecurity! 😱" It's the end of the world as we know it, and I feel fine. 🙃 Then they have fun with the craziest AI announcement of the year (except for the Mythos one of course). Allbirds pivots from shoe manufacturing 👟 to neocloud provider ☁️. No, we didn't see that one coming either! 🙈 They finish with rise of “tokenmaxxing” - the gamification 🎮 of writing code with maximum LLM usage. Incredibly profitable 💰 for commercial frontier model providers and insanely expensive 🤑 for the gamers. Better have 10X productivity just to avoid bankruptcy! Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Shares in Allbirds surge after maker of wool sneakers announces pivot to AI AI-boosted hacks with Anthropic’s Mythos could have dire consequences for banks Upcoming Events: Register for upcoming webinars here!
Nano Thoughts
Who Signs? The Anthropic Paradox and the $40 Trillion Choice
TL;DR The augmenting and replacement futures use the same models and the same tools.
Michael Crist
Steal My Second Brain Starter Kit
Finally, a Second Brain that runs itself (because you were never going to process those notes anyway).
Lenny's Podcast
Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google)
Nikhyl Singhal is the founder of The Skip, a community for senior product leaders; a former product exec at Meta, Google, and Credit Karma; and a many-time founder. He’s also one of the most honest, unfiltered voices on what’s actually happening in product management right now. In our in-depth conversation, we discuss: 1. Why the next two years will be the most chaotic period in product management history 2. Why half of current product managers are at risk, and what separates those who’ll do well 3. Why you need to find your “moments of joy” with AI 4. The “smiling exhaustion” he’s seeing across the product community 5. The psychological barriers that prevent people from reinventing themselves 6. Why your resume’s fancy logos matter less than ever, and what matters now 7. His prediction that companies will shed 30,000 people and rehire 8,000—all AI-first — 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/why-half-of-product-managers-are-in-trouble — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Nikhyl Singhal: • LinkedIn: https://www.linkedin.com/in/nikhyl • X: https://x.com/nikhyl • Podcast & Newsletter: https://skip.show • Skip Community: https://skip.community • Skip Coach: https://skip.coach • Skip.help: https://skip.help — 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 Nikhyl Singhal (02:25) The big picture: what’s changing for product managers (10:00) Are product leaders doing better than 2-3 years ago? (11:44) What will change in the next couple of years (14:23) How companies are changing the way they build products (15:51) What “judgment” really means for PMs (17:46) Why there won’t be any more bad software (20:25) The skills you need to be effective today (23:31) Why there are more PM roles than ever (24:27) The builder versus information-mover divide (30:14) The non-builder problem (30:53) Should PMs code? (34:15) Why experienced leaders still matter (35:44) The diversity setback nobody’s talking about (37:21) Why your brand doesn’t matter as much anymore (39:54) How valued skills are flipping upside down (40:49) Why change is so hard for humans (43:53) The “equal disappointment” algorithm (46:39) You must cross the threshold (48:37) This chaos will settle (53:19) Finding your moment of joy (58:50) Nikhyl’s AI stack and what he’s building (1:00:53) The obsolescence mindset (1:05:24) Specific advice for PMs right now (1:08:58) The four jobs that will exist in the future (1:11:59) Why alignment is changing (but not disappearing) (1:15:40) How engineering is changing even more than PM (1:17:04) The surprising design plateau (1:18:49) Finding optimism in the chaos (1:21:12) Lightning round — Referenced: • Building a long and meaningful career | Nikhyl Singhal (Meta, Google): https://www.lennysnewsletter.com/p/building-a-long-and-meaningful-career • COBOL: https://en.wikipedia.org/wiki/COBOL • United Airlines: https://www.united.com • State of the product job market in early 2026: https://www.lennysnewsletter.com/p/state-of-the-product-job-market-in-ee9 • Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run • Demis Hassabis on X: https://x.com/demishassabis • Sam Altman on X: https://x.com/sama • Dario Amodei on X: https://x.com/DarioAmodei • Cross on Prime Video: https://www.amazon.com/Cross-Season-1/dp/B0D6X7ZZHC • Jack Ryan on Prime Video: https://www.amazon.com/Tom-Clancys-Jack-Ryan/dp/B0CNDCMN8R • 24 on Prime Video: https://www.amazon.com/24-Season-1/dp/B000HPF85A • Claude Code: https://code.claude.com • Codex: https://chatgpt.com/codex • Lovable: https://lovable.dev • Sonos: https://www.sonos.com • “There are only four jobs” on X: https://x.com/yrechtman/status/2039012253341495462 • Paradise on Hulu: https://www.hulu.com/series/paradise-2b4b8988-50c9-4097-bf93-bc34a99a5b4f • Lioness on Paramount+: https://www.paramountplus.com/shows/lioness • Tesla: https://www.tesla.com • Albert Einstein’s quote: https://www.goodreads.com/quotes/115696-genius-is-1-talent-and-99-percent-hard-work — Recommended books: • James: https://www.amazon.com/James-Novel-Percival-Everett/dp/0385550367 • The Adventures of Huckleberry Finn: https://www.amazon.com/Adventures-Huckleberry-Finn-Unabridged-Uncensored/dp/195483943X — 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
Limited Edition Jonathan
AI is the first thing that's ever leveled the playing field for you. The failure rate proves it.
Yesterday I wrote that you’re not falling behind on AI, you’re just trying to keep up with the wrong thing. The real work is stacking primitives.
Marketing AI in Action
How Power Users Actually Set Up Claude Code
The four things to set up in Claude Code (Context, Rules, Reach, Operation) before running your first prompt.
Hard Fork
A.I. Backlash Turns Violent + Kara Swisher on Healthmaxxing + The Zuck Bot Is Coming
This week, amid violent attacks on the homes of the OpenAI chief executive Sam Altman and the Indianapolis councilman Ron Gibson, we debate why artificial intelligence and data centers are so unpopular. Then, Kara Swisher returns to the show to discuss her new docuseries on Silicon Valley’s obsession with living longer. And finally, can chief executives replace themselves with A.I.? Mark Zuckerberg seems to be trying. Guests: Kara Swisher, tech journalist and host of the podcasts “Pivot” and “On With Kara Swisher.” Additional Reading: Shots Fired at Indianapolis Councilman’s Home, After Vote Backing Data Center Man Held in Attack on OpenAI Chief’s Home Had List of A.I. Leaders, Officials Say Kara Swisher Wants to Live Forever Meta Builds A.I. Version of Mark Zuckerberg to Interact With Staff We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Limited Edition Jonathan
You’re Falling Behind Because You’re Trying to Keep Up
Stop fucking doing that.
Claude Skill of the Week
Skill of the Week: Brand Kit + TOV Guidelines
How to extract visual identity and editorial voice into structured files that actually feed your content, landing pages, and sales materials.
Limited Edition Jonathan
Claude Opus 4.7 Just Dropped. Paste This Prompt to Find Out What It Means for YOU.
One prompt reads the full release and tells you which of your prompts, workflows, and costs just shifted.
Practical AI
Open Source Self-Driving with Comma AI
Autonomous driving is not just a big tech or closed-source game, it's becoming accessible through open innovation and real-world deployment. Dan and Chris sit down with Harald Schäfer, CTO at Comma AI, to explore how OpenPilot is bringing self-driving to everyday vehicles using open source AI. We dive into the intersection of machine learning, robotics, and simulation, including how world models are enabling training at scale and shaping the future of autonomy. Featuring: Harald Schäfer – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Comma Upcoming Events: Register for upcoming webinars here!
Senior Storyteller
The Project I Never Coded: Part 2
Evaluate the process after building the foundations of the Community Chat Room
Lenny's Podcast
Hard truths about building in the AI era | Keith Rabois (Khosla Ventures)
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: https://ramp.com/velocity/the-art-of-hiring-insights • Eric Glyman: Seek out super individual contributors (ICs): https://ramp.com/velocity/the-art-of-hiring-insights#Eric-Glyman:-Seek-out-super-individual-contributors-(ICs) • Eric Glyman on X: https://x.com/eglyman • Mike Moore on LinkedIn: https://www.linkedin.com/in/mike-moore-802223177 • Brian Chesky’s new playbook: https://www.lennysnewsletter.com/p/brian-cheskys-contrarian-approach • Why you should work much harder RIGHT NOW: https://marginalrevolution.com/marginalrevolution/2026/03/why-you-should-work-much-harder-right-now.html • Opendoor: https://www.opendoor.com • The Craft of Early Stage Venture | Peter Fenton, General Partner at Benchmark | Uncapped with Jack Altman: https://www.youtube.com/watch?v=vRiblwiXt-Q • Lovable: https://lovable.dev • The rise of the professional vibe coder (a new AI-era job) | Lazar Jovanovic (Professional Vibe Coder): https://www.lennysnewsletter.com/p/getting-paid-to-vibe-code • Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika • Marc Andreessen: The real AI boom hasn’t even started yet: https://www.lennysnewsletter.com/p/marc-andreessen-the-real-ai-boom • Jeremy Stoppelman on X: https://x.com/jeremys • 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 • Andy Warhol: https://en.wikipedia.org/wiki/Andy_Warhol • Curation and Algorithms: https://stratechery.com/2015/curation-and-algorithms • Ernest Hemingway: https://en.wikipedia.org/wiki/Ernest_Hemingway • William Shakespeare: https://en.wikipedia.org/wiki/William_Shakespeare • Evan Moore on X: https://x.com/evancharles • Andrew Mason on X: https://x.com/andrewmason • Read Taylor Swift’s Full Viral Speech After Record-Breaking Awards Sweep: https://www.newsweek.com/entertainment/read-taylor-swift-full-acceptance-speech-record-breaking-awards-sweep-11745941 • The Chainsmokers: Stories Behind the Songs, AI’s Impact on Music, and Venture Investing | Uncapped with Jack Altman: https://www.youtube.com/watch?v=9GMSC-2pYnw&list=PLtpH7YnTL8ihy0nR2BV32n5VkRtqlDAS1&index=16 • How to spot a top 1% startup early: https://www.lennysnewsletter.com/p/how-to-spot-a-top-1-startup-early • David Weiden on LinkedIn: https://www.linkedin.com/in/davidweiden • Alfred Lin on LinkedIn: https://www.linkedin.com/in/linalfred • Keith’s post about vertical integration on X: https://x.com/rabois/status/870673635375104000 • Jon Chu on X: https://x.com/jonchu • Kanu Gulati on X: https://x.com/KanuGulati • Rogo: https://rogo.ai • Profound: https://www.tryprofound.com • Basis: https://www.getbasis.ai • Spellbook: https://www.spellbook.legal • Roelof Botha on X: https://x.com/roelofbotha • Delian Asparouhov on LinkedIn: https://www.linkedin.com/in/delian-asparouhov-87447742 • Lessons From Keith Rabois, Essay 1: How to become a Venture Capitalist: https://delian.io/lessons-1 • 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 • Nuremberg on AppleTV+: https://tv.apple.com/us/movie/nuremberg/umc.cmc.3sg4y0382byupy76bfy7307k4 • Eight Sleep: https://www.eightsleep.com • “NO DAYS OFF”—Bill Belichick on X: https://x.com/SNFonNBC/status/829036279069364224 — Recommended books: • Creativity, Inc.: Overcoming the Unseen Forces That Stand in the Way of True Inspiration: https://www.amazon.com/Creativity-Inc-Overcoming-Unseen-Inspiration/dp/0812993012 • The Jordan Rules: The Inside Story of One Turbulent Season with Michael Jordan and the Chicago Bulls: https://www.amazon.com/Jordan-Rules-Sam-Smith/dp/0671796666 • The Upside of Stress: Why Stress Is Good for You, and How to Get Good at It: https://www.amazon.com/Upside-Stress-Why-Good-You/dp/1101982934 — 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
Marketing AI in Action
How I Use Claude Code to Turn Any Expert's Best Thinking Into an AI Skill
Learn how to convert any expert's public content into a reusable AI skill you can run whenever you need it
Hard Fork
Anthropic’s Cybersecurity Shock Wave + Ronan Farrow and Andrew Marantz on Their Sam Altman Investigation + One Good Thing
This week, we look at the cybersecurity threats that a new unreleased model from Anthropic are posing to software everywhere. And we ask whether Project Glasswing, the company’s bold new defense initiative, will give tech companies enough of a head start to secure the web. Then, we’re joined by Ronan Farrow and Andrew Marantz of The New Yorker to discuss their blockbuster new profile of Sam Altman. And finally, we look to the skies for this edition of One Good Thing. Guests: Ronan Farrow, investigative reporter and a contributing writer to The New Yorker. Andrew Marantz, staff writer at The New Yorker. Additional Reading: Anthropic Claims Its New A.I. Model, Mythos, Is a Cybersecurity ‘Reckoning’ Why Anthropic’s New Model Has Cybersecurity Experts Rattled Sam Altman May Control Our Future — Can He Be Trusted? Artemis II Moon Launch We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Practical AI
Post-Mortem of Anthropic's Claude Code Leak
In this fully connected episode, Dan and Chris break down the Anthropic Claude Code leak, what went wrong and what it reveals about agentic systems, AI architecture, and AI safety. They also explore how the open source community is responding and why this moment could reshape how AI systems are built and secured. Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Upcoming Events: Register for upcoming webinars here!
Claude Skill of the Week
Skill of the Week: ICP Research
How to build ideal customer profiles from verified data instead of conference-room assumptions
Michael Crist
The Non-Technical Person's Guide to Claude Skills
A step-by-step guide to building AI automations with nothing but plain English (two templates included).
Anthropic Red
Anthropic Red
Assessing Claude Mythos Preview’s cybersecurity capabilities
Assessing Claude Mythos Preview’s cybersecurity capabilities
Nano Thoughts
3% Is All You Need: Breaking TurboQuant's Compression Limit via Spectral Structure
TL;DR Only 4 out of 128 dimensions in the KV cache carry meaningful signal.
Automato
Here you have it, a prompt that builds your own content research tool.
The Substack Post Analyzer, featured in Cash & Cache, comes with the full prompt so you can adapt it to your workflow and your tools.
Senior Storyteller
The Project I Never Coded: Part 1
How I built an application with Claude Code — and the process that made it work.
Lenny's Podcast
Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare
Amol Avasare is Head of Growth at Anthropic, which is going through the most unprecedented growth trajectory in history—scaling from $1 billion to over $19 billion in ARR in just 14 months. Previously, Amol worked on the growth teams at Mercury and MasterClass. Before that he was a founder, and he cold emailed his way into the Anthropic role when no job listing existed. Most remarkably, he overcame a traumatic brain injury from a Muay Thai match that meant he couldn't work for nearly a year. In our in-depth discussion, Amol shares: 1. How Amol landed his role by cold emailing Anthropic’s CPO Mike Krieger 2. How Anthropic is automating growth experiments with Claude (their internal tool called “CASH”) 3. Why the ratio of PMs to engineers might need to flip (more PMs than engineers) as AI makes engineers exponentially more productive 4. Why activation is the single highest-leverage growth problem in AI 5. Why Anthropic indexes 70/30 toward big bets (the opposite of most growth teams) 6. How he uses Cowork to detect team misalignment in Slack 7. How the company’s focus on AI coding created a research flywheel that accelerated their models — 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/anthropics-1b-to-19b-growth-run — Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 — Where to find Amol Avasare: • X: https://x.com/TheAmolAvasare • LinkedIn: https://www.linkedin.com/in/amolavasare — 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 Amol and Anthropic’s growth (03:15) The story of cold emailing Mike Krieger to get the job (08:28) What it’s like leading growth at the fastest-growing company ever (10:46) What the growth team actually does at Anthropic (12:16) The concept of “success disasters” (13:55) Why activation is the biggest challenge in AI products (18:05) Improving Mercury’s onboarding experience (20:57) The importance of adding the right kind of friction (25:10) Anthropic’s org structure (27:06) Why Anthropic focuses on big bets over micro-optimizations (33:34) Automating growth experiments with Claude (CASH) (38:20) How AI is starting to identify what experiments to run (41:07) The future of PM, engineering, and design roles (47:19) Why you might need more PMs as engineers get more productive (51:13) How Amol uses AI to prototype ideas and skip PRDs (58:10) Amol’s morning routine: AI analyzes 20 to 25 charts automatically (1:03:31) Getting coaching from an AI version of your manager (1:06:27) How Anthropic’s focus on coding and B2B drove their success (1:12:10) Balancing growth with AI safety as a core mission (1:18:09) Advice for thriving in an AI-first future (1:22:53) Anthropic’s culture and the “notebook channels” on Slack (1:35:12) Failure corner: Shutting down his startup after raising money (1:38:25) The traumatic brain injury that changed everything (1:46:49) Lightning round — References: https://www.lennysnewsletter.com/p/anthropics-1b-to-19b-growth-run — 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
Marketing AI in Action
The 4 .md Files That Turn Claude Code Into a Marketing Machine
Before you build a single skill in Claude Code, you need a foundation layer. These 4 files are that layer — and they power everything else.
Hard Fork
The Future of Addictive Design + Going Deep at DeepMind + HatGPT
Last week, two separate juries held social media companies liable for harming young users. We unpack what these landmark decisions mean — not only for the future of social platforms like Meta and YouTube, but also for A.I. chatbots. Then, Sebastian Mallaby, the author of “The Infinity Machine,” joins us to talk about the three years he spent with Demis Hassabis and those closest to Google DeepMind. And finally, we catch up on some of our favorite tech headlines from the week with a round of HatGPT. Guest: Sebastian Mallaby, author of “The Infinity Machine: Demis Hassabis, DeepMind and the Quest for Superintelligence.” Additional Reading: Juries Take the Lead in the Push for Child Online Safety An A.I. Agent Was Banned From Creating Wikipedia Articles, Then Wrote Angry Blogs About Being Banned I Met Olaf — the Frozen Robot who Might be the Future of Disney Parks Claude’s Code: Anthropic Leaks Source Code for A.I. Software Engineering Tool What’s With All the A.I. Videos of Cheating Fruit? This Company Is Secretly Turning Your Zoom Meetings into A.I. Podcasts North Korean Hackers Suspected in Axios Software Tool Breach We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Practical AI
Agentic Coding and the Economics of Open Source
AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector. Featuring: Miklós Koren – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Links: Vibe Coding Kills Open Source The Directions of Technical Change The Tailwind story Upcoming Events: Register for upcoming webinars here!
One Useful Thing
Claude Dispatch and the Power of Interfaces
We often lack the tools for the job, even if the AI is capable enough
Claude Skill of the Week
How to actually know your competitors, not just stalk their website
The 13-dimension framework that turns competitive research from guesswork into a strategic weapon
Senior Storyteller
I Called BS on Claude Code. A Guide to My First Project in Claude Code
I’m not a coder.
Marketing AI in Action
How to build marketing systems in Claude Code
What I learned building a system where skills chain together and outputs get smarter every run
Claude Skill of the Week
The AI Workflow scaling 1600+ comparison pages with Clay
Ship hundreds of programmatic pages without turning them into pSEO slop.
Practical AI
AI at the Edge is a different operating environment
What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today. Featuring: Brandon Shibley – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: Read our Ultimate Guide to Edge AI Download your copy of O'Reilly's AI at the Edge Check out the Edge Impulse blog Sign-up for an expert led trial of Edge Impulse Upcoming Events: Register for upcoming webinars here!
Automato
Let Claude document your systems before you forget how they work
Build it. Diagram it. Survive the next migration with this Claude Skill.
Automato
Migrating my best Custom GPT into a Claude Skill
And why I'm already redesigning all the AI tools I made before
Michael Crist
The Non-Technical Person's Complete Guide to Claude Code
I'm a CEO who can't write code. In four months, I built dashboards, automated my inbox, and created interactive courses... all by typing sentences. Here's how.
Practical AI
Humility in the Age of Agentic Coding
What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world. Featuring: Steve Klabnik – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Daniel Whitenack – Website, GitHub, X Links: The Rust Programming Language Rust Rue Daniel's RSA Meeting link for March 23, 2026 Daniel's RSA Meeting link for March 24-25, 2026 Upcoming Events: Register for upcoming webinars here!
Automato
The Two Sides of AI Everyone Should Know About
Predictions that are already happening — and the use of AI few are talking about
Practical AI
AI policy and the battle for computing power
AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations. In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI. Featuring: Ben Buchanan – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, X Links: The AI Grand Bargain Upcoming Events: Register for upcoming webinars here!
Michael Crist
How I Use Claude Cowork to Build Things I Don't Know How to Build
Every Cowork tutorial I’ve seen is overselling the same thing.
Michael Crist
How to Turn ChatGPT Into Your Personal AI Assistant (Step-by-Step)
One file changes every answer ChatGPT gives you
Yes, And Also No
[AI Ethics Watch] Anthropic vs The Pentagon
An AI company said no. The Pentagon called it a threat.
Automato
Claude Skills: Helping Us Make Better, Faster Decisions
Part 2/2: Building the Claude Skill, Finding the Workarounds, and Choosing Your Approach
Yes, And Also No
Claude Code Skills Made Easy: One Prompt to Build Your Productivity System
By the end of this article, you'll paste one block into Claude Code and have a working system that runs your mornings, evenings, and weekly reviews. No coding required.
Michael Crist
How to Set Up Claude Code for Knowledge Work (Not Just Coding)
Context engineering > prompt engineering
Yes, And Also No
My AI Syllabus
The podcasts, books, and newsletters I'd actually give to a friend who asked "where do I start?"
Yes, And Also No
My AI Toolkit
The unsponsored pocket guide to the apps, tools, and sites that survived my three-year testing spree
Michael Crist
How to Build an AI Assistant That Remembers Everything (Claude Code Tutorial)
Copy & paste prompts inside 👇
Automato
Claude Skills: Helping Us Make Better, Faster Decisions
Part 1/2: A Framework for Building a Job Analysis Claude Skill
Yes, And Also No
Claude Code for People Who Don't Code: Your First 15 Minutes
Yes, this is a technical tool. Also no, you don't need to be technical
Yes, And Also No
Wait, What’s the Difference? Claude vs Claude Code vs Claude Cowork
Yes, it's revolutionary. Also, no, you shouldn't trust it with everything. Here's what you really need to know to get started.
Automato
I'm Seeing a Pattern CEOs Should Know About
AI productivity is moving from the IT department to every desk.
Michael Crist
I Hardened My Clawdbot Security in an Afternoon. Here's Exactly What I Did
Here's Exactly What I Did
Yes, And Also No
Before You Use Claude Code: Build This First
Everyone's rushing to Claude Code. They're skipping Step 0
Nano Thoughts
Why AI Needs to Forget
In the last few weeks, the AI/Tech community seems to have collectively realized what biology knew all along, that memory is a graph, not a database.
Nano Thoughts
System 3: Collective Intelligence in the Multiplayer AI Era
The winners of the next decade won’t just build better AI tools.
One Useful Thing
Claude Code and What Comes Next
With the right tools, AI can accomplish impressive things
One Useful Thing
The Shape of AI: Jaggedness, Bottlenecks and Salients
And why Nano Banana Pro is such a big deal
Yes, And Also No
Fake Cowboys, Real Surveillance, and the AI Infrastructure We're Building by Accident
Plus a few things worth reading/listening to this week.
Yes, And Also No
Three AI Headlines With a Yes/No Energy This Week
Personal shopping, ambient hardware, and gatekept AI music: helpful on paper, complicated in reality
Claude Skill of the Week
Why AI makes everything sound the same
And how to make your message simple and clear
Yes, And Also No
OpenAI Says They Weren’t Breached. Your Data Leaked Anyway.
PS: The vendor defense is the new “we take privacy seriously.
Yes, And Also No
It Kept You Engaged. And Also: Delusional.
PS: Over a million people talk to ChatGPT about suicide weekly
Yes, And Also No
Psst...Your Linkedin Engagement Might Depend on Your Pronouns
So..what happens when your competitive advantage requires a gender swap?
Claude Skill of the Week
Forget Funnels: Your next GTM Engine is Prompt-Led
How to cross the GenAI Divide and treat your prompts as strategic IP assets
One Useful Thing
Giving your AI a Job Interview
As AI advice becomes more important, we are going to need to get better at assessing it
Claude Skill of the Week
What I recommend in every engagement
I worked with 19 Seed-to-Series C startups in the last 12 months on GTM, PMM, and content. Here are the things I now suggest in every engagement.
Nano Thoughts
The “Cleanliness” of Cow Dung
One of my earliest memories from childhood is that of my grandmother smearing a thin slurry of fresh cow dung, from our farm, and water and swept it over the red earth.
One Useful Thing
Real AI Agents and Real Work
The race between human-centered work and infinite PowerPoints
Claude Skill of the Week
The GTM balance that separates winners from wannabes
Most GTM problems don’t stem from bad ideas. They come from imbalance.
Nano Thoughts
Federated Global Medical AI to Protect Data Sovereignty and Save Maximum Lives
Biostate AI's goal is to get 90% of the world's people to live to 90 years old. This requires global collaboration to train the AI.
Claude Skill of the Week
How to find your messaging sweet spot
Messaging isn’t about volume or extreme focus alone.
Claude Skill of the Week
Founder-led GTM in the age of AI
How smart systems can turn solo founders Into full GTM teams
Claude Skill of the Week
Top 10 product marketing mistakes of B2B SaaS founders
Treat messaging like upstream business strategy, not copywriting.
Claude Skill of the Week
The three layers of GTM
One company writes 100 blog articles with 0 traffic. Another publishes 10 and fills a pipeline. Why?
One Useful Thing
Mass Intelligence
From GPT-5 to nano banana: everyone is getting access to powerful AI
Nano Thoughts
The Paradox of Limited Minds: When Less Knowledge Leads to More Creativity
Limitations are strengths.
Claude Skill of the Week
Speed is a conditional advantage
Everyone talks about speed, but speed is useless if the system chokes.
Nano Thoughts
Human Cells vs. Humans: The $100 Billion Drug Translation Paradox
Top-down approaches to medicine are needed to complement bottom-up cell/organoid methods
One Useful Thing
The Bitter Lesson versus The Garbage Can
Does process matter? We are about to find out.
Claude Skill of the Week
Founders’ biggest differentiation mistakes
In this podcast, I join Sheharyar from Futurenostics to discuss:
Claude Skill of the Week
LinkedIn content ops, looped in
How solo marketers can keep the entire LinkedIn lifecycle humming using Taplio
Claude Skill of the Week
Marketing differentiation is a balance
AI hasn’t made content better. It has made it easier to create bad content.
Claude Skill of the Week
Introducing Genesys Brand Kit Generator
A custom GPT to create context and ground your LLM chats and prompts
Yes, And Also No
AI 2027: The Wild, Unsettlingly Realistic Ride to Superintelligence
A look at how experts predict AI might reshape your world (sooner than you think)