Podcasts about Anthropic

A new report reveals how recent trade policy shifts are drastically redrawing the global competitive map. We will analyze the "winners and losers" in the commodities market as relative tariff prices change overnight.Today's Stocks & Topics: Constellation Energy Corporation (CEG), Market Wrap, IMAX Corporation (IMAX), Options, Albertsons Companies, Inc. (ACI), Trade Wars & Wine: The New Global Tariff Map, NEOS NASDAQ-100(R) High Income ETF (QQQI), International ETFs, IREN Limited (IREN), Reddit, Inc. (RDDT), Different Types of Traders.Our Sponsors:* Check out Anthropic: https://claude.ai/invest* Check out Pebl: https://hipebl.ai* Check out Quince: https://quince.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

Teaser ... Holly's call-out campaign ... Holly: Don't believe the Amanda Askell puff pieces ... Is Amanda a bad person? ... How Dario's false dichotomies accelerate the AI race ... The only Anthropic through-line is "winning" ... Did Dario subvert Effective Altruism? ... The end of the AI safety fig leaf ... Heading into Overtime: The pros and cons of naming and shaming ...

We're living in the "centaur era" of AI and if you're not combining human judgment with AI tools, you're already falling behind. In this episode, Zack Cohen and the Bitcoin Policy Hour team break down the BCG study proving that AI-augmented workers crush both pure humans and blind AI users, then pivot to Secretary Rubio's landmark Munich Security Conference speech signaling the end of the postwar order with Europe. Plus, the hosts analyze Bitcoin ETF flows, whale selling pressure, and why a federal judge just ruled your AI chat logs aren't privileged.

Last week, the CEO of AI company Anthropic spoke with The New York Times' Ross Douthat about his predictions for the future of artificial intelligence. Notre Dame's Meghan Sullivan joins us to discuss how we should ethically think about these ideas. Then, President Trump announced the elimination of a scientific ruling that said climate change endangered humans and the environment. Political consultant Mike Murphy stops by to discuss the effects of this huge deregulatory action. And finally, former president Barack Obama expresses his views on aliens on a podcast released last week. Russell Moore and Mike Cosper share their beliefs on aliens, in turn… kind of. REFERENCED IN THE EPISODE: Anthropic's Chief on A.I.: ‘We Don't Know if the Models Are Conscious'- Interesting Times with Ross Douthat Your Understanding of Calling Is About to Change Radically - Russell Moore Artificially Intelligent - The Bulletin's mini-series on AI ABOUT THE GUESTS: Meghan Sullivan is a professor of philosophy at the University of Notre Dame. She serves as director of the ethics Initiative and is the founding director of Notre Dame's Institute for Ethics and the Common Good. She is the author of Time Biases, and The Good Life Method based on a popular introductory philosophy course she developed at Notre Dame called “God and the Good Life.” Mike Murphy is a political media consultant, and has handled strategy and advertising for more than 26 successful gubernatorial and senatorial campaigns. He served as a top campaign messaging and political strategist for Senator John McCain's campaign in 2000, as well as for successful gubernatorial candidates Mitt Romney, Jeb Bush, Arnold Schwarzenegger, Tommy Thompson, and John Engler. In 2020 he served as a key strategist for Republican Voters Against Trump. He currently co-hosts the weekly politics podcast Hacks on Tap with David Axelrod. GO DEEPER WITH THE BULLETIN: Join the conversation at our Substack. Find us on YouTube. Rate and review the show in your podcast app of choice. ABOUT THE BULLETIN: The Bulletin is a twice-weekly politics and current events show from Christianity Today moderated by Clarissa Moll, with senior commentary from Russell Moore (Christianity Today's editor-at-large and columnist) and Mike Cosper (senior contributor). Each week, the show explores current events and breaking news and shares a Christian perspective on issues that are shaping our world. We also offer special one-on-one conversations with writers, artists, and thought leaders whose impact on the world brings important significance to a Christian worldview, like Bono, Sharon McMahon, Harrison Scott Key, Frank Bruni, and more. The Bulletin listeners get 25% off CT. Go to https://orderct.com/THEBULLETIN to learn more. “The Bulletin” is a production of Christianity Today Producer: Clarissa Moll Associate Producer: Alexa Burke Editing and Mix: Kevin Morris Graphic Design: Rick Szuecs Music: Dan Phelps Executive Producer: Erik Petrik Senior Producer: Matt Stevens Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today we're talking about the war for AI talent. Right now, the hottest job market on the planet is for AI researchers. And the vast majority of these people are concentrated into a small number of hugely valuable, extremely fast-growing companies in the San Francisco Bay Area, most of which are now paying some of the highest salaries in the history of tech to poach from one another. We've been dying to really dig in and try to unpack what's going on with all these talent moves in AI. So we brought on Verge senior AI reporter Hayden Field, who's been covering the revolving door of the AI industry really closely and also the broader culture that's motivating workers to jump ship.  Links: What's behind the mass exodus at xAI? | The Verge OpenClaw founder Peter Steinberger is joining OpenAI | The Verge Two more xAI co-founders leave after the SpaceX merger | The Verge AI safety leader says 'world is in peril' and quits to study poetry | BBC OpenAI is making the mistakes Facebook made. I quit. | NYT Anthropic's chief on AI: ‘We don't know if the models are conscious' | NYT Meet the one woman Anthropic trusts to teach AI morals | WSJ OpenAI plans fourth-quarter IPO in race to beat Anthropic to market | WSJ Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Elon Musk is rapidly losing founders and engineers at his precious little xAI. And he's not the only one: OpenAI and Anthropic have also lost key players, whose resignations are worded ominously to say the least. But hey, at least Chinese robots are coming to snip our butts, right? Also this week's bonus episode is pure goofy chaos. Support us and get bonus content, ad-free versions and more plus your first 7 days free at https://benandemilshow.com ***THE SOUTHWEST COMPANION PASS IS BACK GET IT HERE: https://www.cardratings.com/bestcards/featured-credit-cards?src=691608&shnq=520080,4028088,4048122,4028085,3006151,4048149,4028089,4048084&var2= The newest acid video is out now so check it out! https://youtu.be/7vkFY3f5kkw WATCH THE LATEST EPISODE OF EMIL'S NEW SHOW! https://www.youtube.com/watch?v=PHG9iIjhXvI OUR NEW CREDIT CARD SITE IS LIVE!!! Go get that AMEX personal card before it's gone! https://thecreditcardlist.com Give this video a thumbs up if you enjoyed it! And please leave us a comment! It helps us! ***Ben's new movies and tv podcast with Dillon is OUT NOW! GO WATCH the latest episode on our TOP MOVIES OF 2025: https://youtu.be/tbC-cMqcby8?si=tO0NK0PmpN2187ir **CHECK OUT EMIL'S LIVESTREAMS HERE: https://www.youtube.com/emilderosa __ SOME OTHER VIDEOS YOU MAY ENJOY: That's Cringe of Cody Ko: https://youtu.be/dTbEk0pVh2w Our AUSTIN VIDEO: https://youtu.be/yGSs56bFzRU Our episode with Kyla Scanlon: https://youtu.be/cIHWkY35cuc Big Tech is out of ideas (ft. ED ZITRON): https://youtu.be/zBvVGHZBpMw Arguing with a millionaire (ft. Chris Camillo): https://youtu.be/1ZUWTkWV_MM We bought suits HERE: https://youtu.be/_cM1XqA9n2U ***LINK TO OUR DISCORD: https://discord.gg/CjujBt8g ***Subscribe to Emil's Substack: https://substack.com/@emilderosa ***Trade with Ben at https://tradertreehouse.com __ FABRIC: Apply in minutes to help protect your family at meetfabric.com/BAES with promo code BAES. FACTOR: Head to factormeals.com/baes50off and use code baes50off to get 50% off and free breakfast for a year for new subscribers. HIMS HAIR: For simple, online access to personalized and affordable care for Hair Loss, ED, Weight Loss, and more, visit https://Hims.com/BAES for your free online visit. __ Follow us on instagram! @ benandemilshow @ bencahn @ emilderosa Learn more about your ad choices. Visit podcastchoices.com/adchoices

We will break down the foundational concept of asset allocation and why deciding how to divide your capital across different asset classes is statistically more important than picking individual winning assets.Today's Stocks & Topics: Credo Technology Group Holding Ltd (CRDO), Netflix, Inc. (NFLX), Market Wrap, Lyft, Inc. (LYFT), The "Core and Explore" Portfolio Strategy, DraftKings Inc. (DKNG), Riskified Ltd. (RSKD), Federal Reserve and Inflation, Gold, Crane Company (CR), Taiwan Semiconductor Manufacturing Company Limited (TSMC).Our Sponsors:* Check out Anthropic: https://claude.ai/invest* Check out Quince: https://quince.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

Boris Cherny is the creator and head of Claude Code at Anthropic. What began as a simple terminal-based prototype just a year ago has transformed the role of software engineering and is increasingly transforming all professional work.We discuss:1. How Claude Code grew from a quick hack to 4% of public GitHub commits, with daily active users doubling last month2. The counterintuitive product principles that drove Claude Code's success3. Why Boris believes coding is “solved”4. The latent demand that shaped Claude Code and Cowork5. Practical tips for getting the most out of Claude Code and Cowork6. How underfunding teams and giving them unlimited tokens leads to better AI products7. Why Boris briefly left Anthropic for Cursor, then returned after just two weeks8. Three principles Boris shares with every new team member—Brought to you by:DX—The developer intelligence platform designed by leading researchers: https://getdx.com/lennySentry—Code breaks, fix it faster: https://sentry.io/lennyMetaview—The AI platform for recruiting: https://metaview.ai/lenny—Episode transcript: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Boris Cherny:• X: https://x.com/bcherny• LinkedIn: https://www.linkedin.com/in/bcherny• Website: https://borischerny.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 Boris and Claude Code(03:45) Why Boris briefly left Anthropic for Cursor (and what brought him back)(05:35) One year of Claude Code(08:41) The origin story of Claude Code(13:29) How fast AI is transforming software development(15:01) The importance of experimentation in AI innovation(16:17) Boris's current coding workflow (100% AI-written)(17:32) The next frontier(22:24) The downside of rapid innovation (24:02) Principles for the Claude Code team(26:48) Why you should give engineers unlimited tokens(27:55) Will coding skills still matter in the future?(32:15) The printing press analogy for AI's impact(36:01) Which roles will AI transform next?(40:41) Tips for succeeding in the AI era(44:37) Poll: Which roles are enjoying their jobs more with AI(46:32) The principle of latent demand in product development(51:53) How Cowork was built in just 10 days(54:04) The three layers of AI safety at Anthropic(59:35) Anxiety when AI agents aren't working(01:02:25) Boris's Ukrainian roots(01:03:21) Advice for building AI products(01:08:38) Pro tips for using Claude Code effectively(01:11:16) Thoughts on Codex(01:12:13) Boris's post-AGI plans(01:14:02) Lightning round and final thoughts—References: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens—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

This Week In Startups is made possible by:Gusto - Try Gusto today and get 3 months free at http://uber.com/ai-solutionsCrusoe Cloud - Reserve your capacity for the latest GPU's at http://uber.com/ai-solutionsUber AI Solutions - Book a demo today at http://uber.com/ai-solutions*Today's show: It's a packed show! We've got YouTuber and Openclaw enthusiast Matthew Berman, Ryan Yaneli, founder of Nextvisit, and Jason Grad, founder of Massive! We're all in on Openclaw, but we have no doubts there's still room in the market for a GIANT Openclaw consumer app to shift the paradigm. What will that look like? Will it be an app? Will it be baked into the iPhone? Let's explore!**Timestamps:* 00:00 Intro02:04 Why Matthew thinks Openclaw is not ready yet to be brought to the consumer04:45 Jason doesn't want hundreds of different apps, and thousands of tabs05:45 Why Ryan sees open claw giving consumers access to opportunities they couldn't have gotten to otherwise.07:02 Only 10% of people are technical enough to install openclaw08:16 Would Openclaw be better off as an app?08:27 *Gusto*. Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto today and get three months FREE at [Uber.com/twist](http://uber.com/ai-solutions)00:10:52 The killer use case that could bring Openclaw to the consumer00:12:13 Why Meta acquired Manus.00:15:13 How Ryan uses Openclaw in his personal life00:18:44 *Crusoe Cloud*: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit crusoe.ai/savings to reserve your capacity for the latest GPUs today.00:23:24 What Jason's “Clawpod” does00:24:38 Jason demos his Openclaw workflow00:28:23 *Uber AI Solutions -* Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/ai-solutions00:30:04 How Matt used Openclaw to figure out he's been having stomach issues00:32:27 What will be the ultimate UX for AI?00:38:53 Anthropic has patched the ability to use Openclaw through its pro plan!00:42:20 Matt and Jason hope for a multi-model future — but we haven't made progress!00:52:21 Jason has skepticisms about the Openclaw foundation00:52:59 Ryan predicts a new Openclaw fork coming from the shadows!00:54:21 Peter Steinberger is going to OpenAI, NOT to work with Openclaw… Will he “orphan” openclaw?00:58:19 does raspberry AI stand a chance against Apple?*Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://www.twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis*Thank you to our partners:*Gusto*. Check out the online payroll and benefits experts with software built specifically for small business and startups. Try Gusto today and get three months FREE at [Uber.com/twist](http://uber.com/ai-solutions)*Crusoe Cloud*: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit [crusoe.ai/savings] to reserve your capacity for the latest GPUs today.*Uber AI Solutions -* Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at [Uber.com/twist](http://uber.com/ai-solutions)Check out all our partner offers: https://partners.launch.co/*Check out Jason's suite of newsletters: https://substack.com/@calacanis*Follow TWiST:Twitter: https://twitter.com/TWiStartupsYouTube: https://www.youtube.com/thisweekinInstagram: [https://www.instagram.com/thisweekinstartups](https://www.instagram.com/thisweekinstartups/)TikTok: https://www.tiktok.com/@thisweekinstartupsSubstack: [https://twistartups.substack.com](https://twistartups.substack.com/)

Live Feb 19, 2026 | Yaron Brook ShowIran War?; Ukraine; Taiwan; Trade; Mamdani; Pentagon & Anthropic; MAGA & AI; Dugin | Yaron Brook ShowThe Yaron Brook Show is Sponsored by:-- The Ayn Rand Institute (https://www.aynrand.org/starthere)-- Energy Talking Points, featuring AlexAI, by Alex Epstein (https://alexepstein.substack.com/)-- Express VPN (https://www.expressvpn.com/yaron)-- Hendershott Wealth Management (https://www.youtube.com/watch?v=X4lfC...) https://hendershottwealth.com/ybs/-- Michael Williams & The Defenders of Capitalism Project (https://www.DefendersOfCapitalism.com)Join this channel to get access to perks: / @yaronbrook Like what you hear? Like, share, and subscribe to stay updated on new videos and help promote the Yaron Brook Show: https://bit.ly/3ztPxTxSupport the Show and become a sponsor: / yaronbrookshow or https://yaronbrookshow.com/ or / yaronbrookshow Or make a one-time donation: https://bit.ly/2RZOyJJContinue the discussion by following Yaron on Twitter (https://bit.ly/3iMGl6z) and Facebook (https://bit.ly/3vvWDDC )Want to learn more about Ayn Rand and Objectivism? Visit the Ayn Rand Institute: https://bit.ly/35qoEC3#IranProtests #RussiaUkraineWar #Tariffs #Individualism #Capitalism #Geopolitics #China #WesternCivilization #objectivismBecome a supporter of this podcast: https://www.spreaker.com/podcast/yaron-brook-show--3276901/support.

OpenClaw's creator makes headlines by joining OpenAI after GitHub fame and a whirlwind of VC and big tech offers, redefining what's possible for independent developers in the AI arms race. Is this the year agentic AI goes mainstream, and are the big players ready for that disruption? OpenClaw, OpenAI and the future | Peter Steinberger OpenAI disbands mission alignment team Opinion | I Left My Job at OpenAI. Putting Ads on ChatGPT Was the Last Straw. - The New York Times Introducing GPT‑5.3‑Codex‑Spark Anthropic releases Sonnet 4.6 Exclusive: Pentagon threatens to cut off Anthropic in AI safeguards dispute Google's Pixel 10a Launches on March 5 for $499 Google's AI drug discovery spinoff Isomorphic Labs claims major leap beyond AlphaFold 3 Gemini 3 Deep Think: AI model update designed for science Radio host David Greene says Google's NotebookLM tool stole his voice A new way to express yourself: Gemini can now create music Why an A.I. Video of Tom Cruise Battling Brad Pitt Spooked Hollywood GPT-5 outperforms federal judges 100% to 52% in legal reasoning experiment An AI project is creating videos to go with Supreme Court justices' real words I used Claude to negotiate $163,000 off a hospital bill. In a complex healthcare system, AI is giving patients power. Sony Tech Can Identify Original Music in AI-Generated Songs AI Pioneer Fei-Fei Li's Startup World Labs Raises $1 Billion Yann v. Yoshua on directed systems Dr. Oz pushes AI avatars as a fix for rural health care. Not so fast, critics say An AI Agent Published a Hit Piece on Me An Ars Technica Reporter Blamed A.I. Tools for Fabricating Quotes in a Bizarre A.I. Story Plain Dealer using AI to write reporters' stories Mediahuis trials use of AI agents to carry out 'first-line' news reporting DJI's first robovac is an autonomous cleaning drone you can't trust Leaked Email Suggests Ring Plans to Expand 'Search Party' Surveillance Beyond Dogs ai;dr I hate my AI pet with every fiber of my being Thanks a lot, AI: Hard drives are sold out for the year, says WD Students Are Being Treated Like Guinea Pigs:' Inside an AI-Powered Private School peon-ping — Stop babysitting your terminal Hugo Barra makes a to-do agent Raspberry Pi soars 40% as CEO buys stock, AI chatter builds Hosts: Leo Laporte, Jeff Jarvis, and Emily Forlini Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: monarch.com with code IM bitwarden.com/twit preview.modulate.ai spaceship.com/twit

A new Anthropic study shows that AI agents are being used far more conservatively than their capabilities suggest, with short sessions, heavy human oversight, and growing use beyond coding into back office, marketing, sales, and finance. The data highlights that autonomy is shaped as much by trust and interaction design as raw model power. In the headlines: Gemini adds music generation, Anthropic clarifies its OAuth policy, Meta revives its AI smartwatch, Grok expands to 16 debating subagents, and more. Want to build with OpenClaw?LEARN MORE ABOUT CLAW CAMP: ⁠⁠⁠https://campclaw.ai/⁠⁠⁠Or for enterprises, check out: ⁠⁠⁠https://enterpriseclaw.ai/⁠⁠⁠Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mercury - modern banking for business and now personal accounts. Learn more at ⁠https://mercury.com/personal-banking⁠Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.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/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

AGENDA: 04:14 Anthropic's $30B Raise at $380B 06:18 Why SaaS Stocks Keep Getting Crushed 18:15 Wall Street's New Religion: AI Replaces Headcount  22:42 The Bear Case for Shopify: What Could Go Wrong? 31:51 Replit and Lovable are Proof Figma Missed Out: Figma; Buy or Sell?  48:42 Stripe Raises at $140BN: Is Stripe Wildly Overvalued or Adyen Undervalued?  54:36 OpenAI Buys OpenClaw 01:06:28 Thrive's $10B Growth Fund 01:09:10 Arif Janmohamed Leaves Lightspeed for New Firm 01:17:12 Workday's Founder Returns as CEO: Will it Work?  01:20:34 Which Founder Returns Next: HubSpot, Twilio, Gitlab? 01:24:03 Is Monday.com a Screaming Buy? 01:28:25 Jason and Harry Bet $200,000  

Carl Quintanilla, Jim Cramer and David Faber discussed market reaction to Walmart's Q4 beat and what new CEO John Furner said on the earnings call about consumer spending. OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei refused to hold hands during a group photo shoot with tech leaders at an AI summit in India. Both men spoke exclusively to CNBC: Altman on the U.S.-China AI arms race, Amodei on AI's effect on jobs. Also in focus: OpenAI's march toward a new $100 billion funding round, more pain for software stocks, Etsy jumps on the sale of second-hand fashion app Depop to eBay, Blue Owl slides on a report about redemptions, a flashback to what Jim said about Figma on the date of its stellar public debut in July 2025.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

OpenClaw's creator makes headlines by joining OpenAI after GitHub fame and a whirlwind of VC and big tech offers, redefining what's possible for independent developers in the AI arms race. Is this the year agentic AI goes mainstream, and are the big players ready for that disruption? OpenClaw, OpenAI and the future | Peter Steinberger OpenAI disbands mission alignment team Opinion | I Left My Job at OpenAI. Putting Ads on ChatGPT Was the Last Straw. - The New York Times Introducing GPT‑5.3‑Codex‑Spark Anthropic releases Sonnet 4.6 Exclusive: Pentagon threatens to cut off Anthropic in AI safeguards dispute Google's Pixel 10a Launches on March 5 for $499 Google's AI drug discovery spinoff Isomorphic Labs claims major leap beyond AlphaFold 3 Gemini 3 Deep Think: AI model update designed for science Radio host David Greene says Google's NotebookLM tool stole his voice A new way to express yourself: Gemini can now create music Why an A.I. Video of Tom Cruise Battling Brad Pitt Spooked Hollywood GPT-5 outperforms federal judges 100% to 52% in legal reasoning experiment An AI project is creating videos to go with Supreme Court justices' real words I used Claude to negotiate $163,000 off a hospital bill. In a complex healthcare system, AI is giving patients power. Sony Tech Can Identify Original Music in AI-Generated Songs AI Pioneer Fei-Fei Li's Startup World Labs Raises $1 Billion Yann v. Yoshua on directed systems Dr. Oz pushes AI avatars as a fix for rural health care. Not so fast, critics say An AI Agent Published a Hit Piece on Me An Ars Technica Reporter Blamed A.I. Tools for Fabricating Quotes in a Bizarre A.I. Story Plain Dealer using AI to write reporters' stories Mediahuis trials use of AI agents to carry out 'first-line' news reporting DJI's first robovac is an autonomous cleaning drone you can't trust Leaked Email Suggests Ring Plans to Expand 'Search Party' Surveillance Beyond Dogs ai;dr I hate my AI pet with every fiber of my being Thanks a lot, AI: Hard drives are sold out for the year, says WD Students Are Being Treated Like Guinea Pigs:' Inside an AI-Powered Private School peon-ping — Stop babysitting your terminal Hugo Barra makes a to-do agent Raspberry Pi soars 40% as CEO buys stock, AI chatter builds Hosts: Leo Laporte, Jeff Jarvis, and Emily Forlini Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: monarch.com with code IM bitwarden.com/twit preview.modulate.ai spaceship.com/twit

OpenClaw's creator makes headlines by joining OpenAI after GitHub fame and a whirlwind of VC and big tech offers, redefining what's possible for independent developers in the AI arms race. Is this the year agentic AI goes mainstream, and are the big players ready for that disruption? OpenClaw, OpenAI and the future | Peter Steinberger OpenAI disbands mission alignment team Opinion | I Left My Job at OpenAI. Putting Ads on ChatGPT Was the Last Straw. - The New York Times Introducing GPT‑5.3‑Codex‑Spark Anthropic releases Sonnet 4.6 Exclusive: Pentagon threatens to cut off Anthropic in AI safeguards dispute Google's Pixel 10a Launches on March 5 for $499 Google's AI drug discovery spinoff Isomorphic Labs claims major leap beyond AlphaFold 3 Gemini 3 Deep Think: AI model update designed for science Radio host David Greene says Google's NotebookLM tool stole his voice A new way to express yourself: Gemini can now create music Why an A.I. Video of Tom Cruise Battling Brad Pitt Spooked Hollywood GPT-5 outperforms federal judges 100% to 52% in legal reasoning experiment An AI project is creating videos to go with Supreme Court justices' real words I used Claude to negotiate $163,000 off a hospital bill. In a complex healthcare system, AI is giving patients power. Sony Tech Can Identify Original Music in AI-Generated Songs AI Pioneer Fei-Fei Li's Startup World Labs Raises $1 Billion Yann v. Yoshua on directed systems Dr. Oz pushes AI avatars as a fix for rural health care. Not so fast, critics say An AI Agent Published a Hit Piece on Me An Ars Technica Reporter Blamed A.I. Tools for Fabricating Quotes in a Bizarre A.I. Story Plain Dealer using AI to write reporters' stories Mediahuis trials use of AI agents to carry out 'first-line' news reporting DJI's first robovac is an autonomous cleaning drone you can't trust Leaked Email Suggests Ring Plans to Expand 'Search Party' Surveillance Beyond Dogs ai;dr I hate my AI pet with every fiber of my being Thanks a lot, AI: Hard drives are sold out for the year, says WD Students Are Being Treated Like Guinea Pigs:' Inside an AI-Powered Private School peon-ping — Stop babysitting your terminal Hugo Barra makes a to-do agent Raspberry Pi soars 40% as CEO buys stock, AI chatter builds Hosts: Leo Laporte, Jeff Jarvis, and Emily Forlini Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: monarch.com with code IM bitwarden.com/twit preview.modulate.ai spaceship.com/twit

Welcome to a feed drop ofthe SMB Community Podcast, the longest-running MSP-focused podcast in the industry.  Hosts James Kernan and Amy Babinchak dive deep into AI go-to-market strategies for 2026, inspired by insights from Amy Babinchak's recent AI class for MSPs.They open with the latest news on Microsoft Copilot and Anthropic's integration, highlighting new privacy and security features for Office apps. Then, they explore how MSPs can not only adopt AI internally but also create new, innovative service offerings for their clients—like custom AI grant-writing agents for nonprofits, real-world business demonstrations, and the integration of AI readiness assessments.Pricing strategies, project sales versus monthly recurring revenue, and the importance of meaningful quarterly business reviews also come under the spotlight. Throughout the conversation, Amy Babinchak and James Kernan share practical examples, discuss industry challenges, and encourage listeners to rethink and monetize their approach to AI as we move toward 2026.Tune in for fresh ideas, actionable strategies, and a glimpse into the real-world experiences of MSPs shaping the future with AI, and find it on your favorite podcast player.   Links at https://smbcommunitypodcast.com

OpenClaw's creator makes headlines by joining OpenAI after GitHub fame and a whirlwind of VC and big tech offers, redefining what's possible for independent developers in the AI arms race. Is this the year agentic AI goes mainstream, and are the big players ready for that disruption? OpenClaw, OpenAI and the future | Peter Steinberger OpenAI disbands mission alignment team Opinion | I Left My Job at OpenAI. Putting Ads on ChatGPT Was the Last Straw. - The New York Times Introducing GPT‑5.3‑Codex‑Spark Anthropic releases Sonnet 4.6 Exclusive: Pentagon threatens to cut off Anthropic in AI safeguards dispute Google's Pixel 10a Launches on March 5 for $499 Google's AI drug discovery spinoff Isomorphic Labs claims major leap beyond AlphaFold 3 Gemini 3 Deep Think: AI model update designed for science Radio host David Greene says Google's NotebookLM tool stole his voice A new way to express yourself: Gemini can now create music Why an A.I. Video of Tom Cruise Battling Brad Pitt Spooked Hollywood GPT-5 outperforms federal judges 100% to 52% in legal reasoning experiment An AI project is creating videos to go with Supreme Court justices' real words I used Claude to negotiate $163,000 off a hospital bill. In a complex healthcare system, AI is giving patients power. Sony Tech Can Identify Original Music in AI-Generated Songs AI Pioneer Fei-Fei Li's Startup World Labs Raises $1 Billion Yann v. Yoshua on directed systems Dr. Oz pushes AI avatars as a fix for rural health care. Not so fast, critics say An AI Agent Published a Hit Piece on Me An Ars Technica Reporter Blamed A.I. Tools for Fabricating Quotes in a Bizarre A.I. Story Plain Dealer using AI to write reporters' stories Mediahuis trials use of AI agents to carry out 'first-line' news reporting DJI's first robovac is an autonomous cleaning drone you can't trust Leaked Email Suggests Ring Plans to Expand 'Search Party' Surveillance Beyond Dogs ai;dr I hate my AI pet with every fiber of my being Thanks a lot, AI: Hard drives are sold out for the year, says WD Students Are Being Treated Like Guinea Pigs:' Inside an AI-Powered Private School peon-ping — Stop babysitting your terminal Hugo Barra makes a to-do agent Raspberry Pi soars 40% as CEO buys stock, AI chatter builds Hosts: Leo Laporte, Jeff Jarvis, and Emily Forlini Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: monarch.com with code IM bitwarden.com/twit preview.modulate.ai spaceship.com/twit

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

In this episode of Run the Numbers, CJ sits down with Varsha Udayabhanu of Invisible to unpack what enterprise AI adoption actually looks like beyond the hype. They cover forward deployed engineers, eight-week solution sprints, value-based pricing when outcomes are hard to meter, ARR vs. services revenue, and why “momentum” beats traditional SaaS metrics. A tactical look at trust, expansion, and building durable AI revenue.—SPONSORS:Brex is an intelligent finance platform that combines corporate cards, built-in expense management, and AI agents to eliminate manual finance work. By automating expense reviews and reconciliations, Brex gives CFOs more time for the high-impact work that drives growth. Join 35,000+ companies like Anthropic, Coinbase, and DoorDash at https://www.brex.com/metricsMetronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comRightRev is an automated revenue recognition platform built for modern pricing models like usage-based pricing, bundles, and mid-cycle upgrades. RightRev lets companies scale monetization without slowing down close or compliance. For RevRec that keeps growth moving, visit https://www.rightrev.comRillet is an AI-native ERP built for modern finance teams that want to close faster without fighting legacy systems. Designed to support complex revenue recognition, multi-entity operations, and real-time reporting, Rillet helps teams achieve a true zero-day close—with some customers closing in hours, not days. If you're scaling on an ERP that wasn't built in the 90s, book a demo at https://www.rillet.com/cjTabs is an AI-native revenue platform that unifies billing, collections, and revenue recognition for companies running usage-based or complex contracts. By bringing together ERP, CRM, and real product usage data into a single system of record, Tabs eliminates manual reconciliations and speeds up close and cash collection. Companies like Cortex, Statsig, and Cursor trust Tabs to scale revenue efficiently. Learn more at https://www.tabs.com/runAbacum is a modern FP&A platform built by former CFOs to replace slow, consultant-heavy planning tools. With self-service integrations and AI-powered workflows for forecasting, variance analysis, and scenario modeling, Abacum helps finance teams scale without becoming software admins. Trusted by teams at Strava, Replit, and JG Wentworth—learn more at https://www.abacum.ai—LINKS: Varsha: https://www.linkedin.com/in/varshaudayabhanu/Company: https://invisibletech.ai/CJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Marketing as a Form of Capital Allocation With Carta's Head of Growth Angela Winegarhttps://youtu.be/rG09ehsrWv8—TIMESTAMPS:00:00 Intro03:21 What Invisible Technologies Does05:34 Enterprise AI Adoption Gap07:38 Forward Deployed Engineers09:44 Evolving GTM in AI Services10:36 Solution Sprints12:37 Sponsor — Brex | Metronome | RightRev15:56 Upfront Investment vs. Upside18:38 Bespoke Deals20:37 Value-Based Pricing in Enterprise AI22:12 Value Sold vs. Value Delivered23:31 Enterprise Revenue as a Portfolio of Bets24:53 Time-Bound Solution Sprints27:06 Sponsor — Rillet | Tabs | Abacum30:32 Humans in the Loop & Expert Incentives33:38 Niche Human Expertise34:10 Rethinking KPIs Beyond ARR35:44 Momentum Metrics39:00 Evaluating GenAI Financial Profiles40:47 Expansion as the Atomic Unit42:19 AdTech Lessons on Distribution & Brand43:23 Why Brand Matters for Enterprise47:10 Commoditization Risk48:31 Long-Ass Lightning Round53:20 Credits

Ciudades lideradas por demócratas se han unido para frenar los operativos migratorios de la administración Trump. Varios alcaldes han firmado órdenes ejecutivas para restringir  para restringir las acciones de ICE.En otras noticias: El bebé de dos meses y su madre deportados desde el centro de Dilley pasaron su primera noche en México y por ahora su futuro es incierto.En California fueron hallados los cuerpos de ocho esquiadores que estaban desaparecidos. Uno más sigue desaparecido.Autoridades siguen investigando la desaparición de Nancy Gothrie. Habrá colaboración con autoridades mexicanas.Mark Zuckerberg se presentó para testificar en un juicio contra las plataformas de redes sociales, cuestionado por el daño sicológico que las redes sociales estarían ocasionando a menores de edad.

Gary Tan is the President and CEO of Y Combinator.YC is the startup accelerator behind companies like Airbnb, Stripe, Coinbase, Reddit, Twitch, and thousands more. According to Garry, they've invested in 20% of all startups worth $5B or more started since 2012.Gary has lived every side of the YC ecosystem. He went through YC as a founder, later became a partner, started Initialized Capital where he backed companies like Coinbase and Instacart, and then returned to lead YC.We walk through the different “eras” of YC, from the early Paul Graham and Jessica Livingston days in Cambridge, to scaling in San Francisco, to today's push back toward in person community and what Gary calls “founder mode” for the organization itself.We also talk about why the Bay Area still matters so much for startups, what's happening with California taxes and policy, and why Gary has gotten more involved in local politics to keep it the best place for founders to build companies.Then we go deep on the parts of startups people don't talk about enough. Co-founder conflict, rage quitting, therapy and coaching, and why companies inevitably take on the personality and emotional patterns of their founders.We also cover what YC looks for in applications, how the 13 week batch is structured, how Demo Day really works, how to choose the right investors, and what Gary thinks the next phase of YC looks like, including helping founders even after Series A.At the end, Gary shares his personal AI workflow, including meta prompting, comparing outputs across models, and the tools he uses every day to think and build faster.Try Numeral, the end-to-end platform for sales tax and compliance: https://www.numeral.com⁠Sign-up for Flex Elite with code TURNER, get $1,000: https://form.typeform.com/to/Rx9rTjFzTimestamps:(0:05) Moving from Winnipeg to California as a kid(1:35) How YC interviews work(2:55) The first batch in 2005(6:46) Why YC moved from Boston to SF(8:17) California's Billionaire Tax(11:00) Tech should care about public policies(17:01) Going direct to your audience(20:28) The 2nd Era of YC(24:01) Rage quitting Palantir, learning to understand himself(32:41) Co-founder conflict kills most startups(35:15) Joining YC as a group partner(37:22) Initialized Fund 1 (55x DPI)(39:44) Why Garry went back to lead YC(42:44) YC funds 20% of all $5B+ companies(44:30) Lessons from Brian Chesky(48:01) Garry's thoughts on YC rejection(51:41) How to get into YC(58:03) What it's like inside a 13-week YC batch(1:02:23) 20% of YC is hard tech(1:05:55) YC's 3rd era: founder mode, re-batching(1:07:56) Escaping the matrix(1:11:26) Garry's personal AI stack(1:20:25) Tech optimismReferencedY Combinator: https://www.ycombinator.com/Initialized Capital: https://initialized.com/Torch: https://torch.io/Perplexity: https://www.perplexity.ai/Anthropic: https://www.anthropic.com/OpenAI: https://openai.com/Airbnb: https://www.airbnb.com/Kyle Vogt on his new startup: https://www.youtube.com/watch?v=XQoFbvyWEy8Follow Aaron Levie on X: https://x.com/levieFollow GaryTwitter: https://x.com/garytanLinkedIn: https://www.linkedin.com/in/garytan/Follow TurnerTwitter: https://twitter.com/TurnerNovakLinkedIn: https://www.linkedin.com/in/turnernovakSubscribe to my newsletter to get every episode + the transcript in your inbox every week: https://www.thespl.it/

OpenClaw's creator makes headlines by joining OpenAI after GitHub fame and a whirlwind of VC and big tech offers, redefining what's possible for independent developers in the AI arms race. Is this the year agentic AI goes mainstream, and are the big players ready for that disruption? OpenClaw, OpenAI and the future | Peter Steinberger OpenAI disbands mission alignment team Opinion | I Left My Job at OpenAI. Putting Ads on ChatGPT Was the Last Straw. - The New York Times Introducing GPT‑5.3‑Codex‑Spark Anthropic releases Sonnet 4.6 Exclusive: Pentagon threatens to cut off Anthropic in AI safeguards dispute Google's Pixel 10a Launches on March 5 for $499 Google's AI drug discovery spinoff Isomorphic Labs claims major leap beyond AlphaFold 3 Gemini 3 Deep Think: AI model update designed for science Radio host David Greene says Google's NotebookLM tool stole his voice A new way to express yourself: Gemini can now create music Why an A.I. Video of Tom Cruise Battling Brad Pitt Spooked Hollywood GPT-5 outperforms federal judges 100% to 52% in legal reasoning experiment An AI project is creating videos to go with Supreme Court justices' real words I used Claude to negotiate $163,000 off a hospital bill. In a complex healthcare system, AI is giving patients power. Sony Tech Can Identify Original Music in AI-Generated Songs AI Pioneer Fei-Fei Li's Startup World Labs Raises $1 Billion Yann v. Yoshua on directed systems Dr. Oz pushes AI avatars as a fix for rural health care. Not so fast, critics say An AI Agent Published a Hit Piece on Me An Ars Technica Reporter Blamed A.I. Tools for Fabricating Quotes in a Bizarre A.I. Story Plain Dealer using AI to write reporters' stories Mediahuis trials use of AI agents to carry out 'first-line' news reporting DJI's first robovac is an autonomous cleaning drone you can't trust Leaked Email Suggests Ring Plans to Expand 'Search Party' Surveillance Beyond Dogs ai;dr I hate my AI pet with every fiber of my being Thanks a lot, AI: Hard drives are sold out for the year, says WD Students Are Being Treated Like Guinea Pigs:' Inside an AI-Powered Private School peon-ping — Stop babysitting your terminal Hugo Barra makes a to-do agent Raspberry Pi soars 40% as CEO buys stock, AI chatter builds Hosts: Leo Laporte, Jeff Jarvis, and Emily Forlini Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: monarch.com with code IM bitwarden.com/twit preview.modulate.ai spaceship.com/twit

How does one of the most established venture capital firms in the world think about the so called “SaaS apocalypse”?Jeremy Levine of Bessemer Venture Partners joins the Newcomer Podcast to discuss the SaaS repricing, the acceleration of AI, and why venture capital remains a long game.We unpack whether SaaS is broken or simply reset after years of excess, and why AI companies are scaling faster than anything we have seen before. Jeremy shares his perspective on foundation model giants like Anthropic, the coming wave of robotics, and the unsolved manipulation problem that could define the next decade.We also discuss scale in venture capital, how AI is changing investing, and why, in Jeremy's words, this is ultimately a patient person's game.

News and Updates: Research shows AI boosts creativity only for employees with strong metacognition—the ability to plan and refine thinking—allowing them to strategically expand knowledge and capacity. Discord will implement global age verification in March, defaulting all users to "teen-appropriate" settings unless they prove adulthood via ID, facial estimation, or behavioral metadata. Ring's "Search Party" feature uses AI neighborhood camera scans to find lost dogs, sparking privacy fears that the infrastructure could eventually be used for human surveillance. Goldman Sachs is embedding Anthropic engineers to build autonomous AI agents for high-volume back-office roles, specifically targeting complex trade accounting and regulatory compliance tasks. OpenAI's Sam Altman lashed out at Anthropic's "dishonest" Super Bowl ads, which mocked ChatGPT's upcoming ad tier by depicting intrusive, context-twisting product placements in conversations.

The AI chatbot Claude can help you write an email, challenge a hospital bill, or publish a novel. It was also reportedly used by the U.S. military in the operation that captured Venezuelan dictator Nicolás Maduro. Now the Pentagon is threatening to cut ties with Anthropic, the company that built it, because it insists on keeping restrictions around autonomous weapons and mass surveillance. Journalist Gideon Lewis-Kraus spent months inside Anthropic, one of the world's most secretive AI companies, for a new piece in ‘The New Yorker,' where he asks: What happens when the people who built the machine can't fully explain what it's doing? He spoke with Tonya Mosley. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Glenn starts the show by discussing the latest happenings in Iran. Are we close to a major war with Iran? Glenn brings in his chief researcher, Jason Buttrill, who breaks down the latest moves by the Trump administration and what they mean for conflict in the Middle East. Rep. Chip Roy (R-Texas) joins to discuss the recent Texas attorney general primary debate, the controversy surrounding a Florida member of Congress, and the partial government shutdown affecting the Department of Homeland Security. U.S. Chief of Protocol Monica Crowley joins to discuss how newly unsealed Nixon testimony uncovers how the military establishment spied on and undermined his presidency. Was this the origin of the deep state? Glenn tells an untold story about Abraham Lincoln, then plays one of his new songs that brings the story to life. On Ash Wednesday, Glenn breaks down the history of the tradition and why it remains a critical ritual for millions of Catholics. Did CBS bend the knee to the FCC by refusing to air a Stephen Colbert interview with Texas state Rep. James Talarico (D)? Glenn sets the record straight on what actually happened and lays out why CBS' guidance was legally sound. The CEO of Anthropic admitted he's no longer sure if his company's AI chatbot, Claude, is conscious. Is it conscious or just incredibly good at imitation? Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, we're discussing the latest instance of large companies pre-emptively caving to the Trump Administration: Stephen Colbert's blocked interview with Texas Senate candidate James Tallarico. With that backdrop, the House of Representatives passed the SAVE America Act, which would require proof of citizenship to register to vote. Sarah and Beth discuss why this is a conversation about voter suppression disguised as election integrity. Next, we discuss the standoff between Anthropic and the Department of Defense over the use of Claude in military operations and domestic surveillance. Outside of politics, Sarah and Beth answer a listener's question about astrology and what it means to hold those frameworks loosely in an age of data and critical thinking. Topics Discussed The Save America Act Artificial Intelligence Overwhelm Outside of Politics: Astrology and Tarot Ready to go deeper? Visit our website for complete show notes, exclusive premium content, chats, and more.See omnystudio.com/listener for privacy information.

Today, we're talking about the life and death of longtime civil rights leader Jesse Jackson; the DOW questioning its relationship with AI giant Anthropic; Team USA's closing Olympic efforts; and other top news for Wednesday, February 18th. Stay informed while remaining focused on Christ with The Pour Over. TPO News Cleanse Looking to support us? You can choose to pay ⁠⁠⁠⁠here⁠⁠⁠⁠ Check out our sponsors! We actually use and enjoy every single one. Cru Wild Alaskan HelloFresh Safe House Project Gloo QAVA CCCU Filament Bible Upside Mosh LMNT Not Just Sunday Podcast Bible Gateway Plus Life Application Study Bible Unto TPO Corrections Page

Today's Headlines: New Mexico has approved a bipartisan “truth commission” to investigate alleged sexual abuse and trafficking at Jeffrey Epstein's Zorro Ranch near Santa Fe. The commission will have subpoena power, a $2 million budget funded by a Deutsche Bank settlement, and will operate through 2026. Meanwhile, Epstein's former benefactor Les Wexner is set to testify before the House Oversight Committee behind closed doors at his Ohio home. Early voting is underway in Texas' Senate primaries after late-night host Stephen Colbert said CBS forced him to cancel an interview with Democratic candidate James Talarico following FCC guidance on political airtime. In media shakeups, Anderson Cooper is leaving CBS' 60 Minutes, and independent journalist Georgia Fort pleaded not guilty to federal felony charges tied to covering an anti-ICE protest. On the corporate front, Warner Bros. Discovery reopened talks with Paramount over a $77.9 billion acquisition bid as Netflix circles with a competing offer. The Trump administration is reportedly reviewing its relationship with AI company Anthropic after questions about military use of its Claude model, while Palantir sued Swiss outlet Republik over an investigative report. Meta is facing scrutiny over AI chatbot safety for minors and a patent for AI systems that simulate deceased users. EU regulators are investigating Shein under the Digital Services Act, and the Trump administration has spent at least $40 million deporting migrants to third countries, including Cameroon. Nuclear talks between U.S. and Iranian officials in Geneva reportedly made progress toward a potential new deal. In Argentina, the Senate passed sweeping labor reforms sparking nationwide strike threats. Trump-linked businesses also filed trademarks for “President Donald J. Trump International Airport.” Civil rights leader Rev. Jesse Jackson has died at 84. Resources/Articles mentioned in this episode: The Guardian: New Mexico approves truth commission on alleged Jeffrey Epstein ranch abuse Dispatch: What do we know about Les Wexner and Epstein as deposition approaches? NYT: Colbert Slams Trump Administration After CBS Pulls Talarico Interview Status: Cooper's Final Minutes Minnesota Reformer: Journalist Georgia Fort pleads not guilty to felony charges stemming from church protest WSJ: Warner Reopens Talks With Paramount After Sweetened Offer Axios: Exclusive: Pentagon threatens Anthropic punishment European Journalist: Switzerland: US analytics firm takes Republik magazine to court – European Federation of Journalists Mashable: Meta wins patent for AI that could post for dead social media users Axios: Unreleased Meta product didn't protect kids from exploitation, tests found PBS News: Shein under investigation in EU over illegal products and addictive online design features AP News: More third-country nationals have been deported by the US to Cameroon, lawyers tell Axios: U.S. and Iran say progress made in Geneva nuclear talks Reuters: Argentine unions to hold general strike over labor reform bill Gerben Law: Trump's Private Company Files Trademark for ‘President Donald J. Trump International Airport' Axios: Civil rights icon Jesse Jackson dies at 84 Subscribe to the Betches News Room and join the Morning Announcements group chat. Go to: ⁠⁠betchesnews.substack.com⁠⁠ Morning Announcements is produced by Sami Sage and edited by Grace Hernandez-Johnson Learn more about your ad choices. Visit megaphone.fm/adchoices

It's not just Nvidia anymore. We will discuss the earnings from companies like ARM and Broadcom, analyzing the shift toward "Custom Silicon" designed specifically for distinct AI models.Today's Stocks & Topics: Tenet Healthcare Corporation (THC), CMOC Group Limited (CMCLF), Market Wrap, Banco Bilbao Vizcaya Argentaria, S.A. (BBVA), Cloudflare, Inc. (NET), Semiconductors: The "Custom Chip" War, How to Rollover a 401k, Dollar General Corporation (DG), Alphabet Inc. (GOOG), Housing Market, Equinix, Inc. (EQIX).Our Sponsors:* Check out Anthropic: https://claude.ai/invest* Check out Quince: https://quince.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

The Mag 7 have committed over $700 billion to AI infrastructure, but the companies building the models may never capture the value. Thank you to our sponsors: Adaptive Security Fuse: The Energy Network The BLS just quietly revised away 862,000 jobs, and real-time inflation trackers now peg price growth below 1%, less than half of what official figures report.  If the Fed is steering monetary policy with stale data, investors need to ask what else the models are getting wrong.  At the same time, the Mag 7 have committed more than $700 billion to AI infrastructure, with Anthropic alone projecting $1 trillion in revenue within five years. Is that conviction or the early stages of a debt cycle nobody is pricing?  And then there is the institutional side of crypto: BlackRock's BUIDL fund just landed on Uniswap with $2.4 billion in assets, Apollo acquired $90 million in Morpho tokens, and AI agents are already settling micropayments in stablecoins.  Austin Campbell, Ram Ahluwalia, and Christopher Perkins sit down with Truflation's CEO Stefan Rust to ask whether the numbers we trust are telling us the truth. Hosts: ⁠Ram Ahluwalia⁠, CFA, CEO and Founder of Lumida ⁠Austin Campbell⁠, NYU Stern professor and founder and managing partner of Zero Knowledge Consulting ⁠Christopher Perkins⁠, Managing Partner and President of CoinFund Guest: Stefan Rust, Founder and CEO of Truflation Links: Unchained:  BlackRock Just Chose Uniswap. The Market Didn't Care. Here's Why. Apollo Moves Into DeFi Lending With Morpho Token Deal UNI Spikes on BlackRock DeFi Move, Then Gives It All Back Macro: NBC: U.S. had almost no job growth in 2025 PBS: Inflation measure falls to nearly five-year low as gas prices fall and housing costs cool Crowdfund Insider: Secretary Of The Treasury Scott Bessent Calls Out Truflation's Inflation Numbers At Senate Banking Hearing AI CapEx: Amazon, Google And Others Are Pouring $700 Billion Into AI CapEx, Top Analyst Explains Why This Makes It 'Hard' To Bet Against Nvidia CIO: Data center capex to hit $1.7 trillion by 2030 due to AI boom Reuters: OpenClaw founder Steinberger joins OpenAI, open-source bot becomes foundation Learn more about your ad choices. Visit megaphone.fm/adchoices

Anthropic drops Sonnet 4.6 with a million-token context window and major gains in computer use, coding, and agentic workflows at a dramatically lower price point—immediately reshaping the economics of OpenClaw-style agents. Meanwhile, Grok 4.2 enters public beta with a multi-agent debate system and promises rapid weekly improvement, and Apple ramps up AI wearables. In the headlines: Apple's AI glasses push, Spotify engineers stop writing code by hand, Meta commits to millions of Nvidia GPUs, Chinese AI price wars, and a possible SaaS rebound. Want to build with OpenClaw?LEARN MORE ABOUT CLAW CAMP: ⁠⁠https://campclaw.ai/⁠⁠Or for enterprises, check out: ⁠⁠https://enterpriseclaw.ai/⁠⁠Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology - Build, test and scale intelligent workloads faster with Rackspace AI Launchpad - ⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠https://blitzy.com/⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.optimizely.com/insights/agents-in-action/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.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/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Self Created Valuation Boosts Apple Announces new Podcast push AI – A breakdown Playing them like a fiddle – Warner Brothers PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - A NEW CTP just announced - China releasing new AI models - AI - A breakdown - we are on overload - Big Employment news.... Markets - Self Created Valuation Boosts - Apple Announces new Podcast push - Playing them like a fiddle - Warner Brothers Quick Note - Going to rip up the playbook on something this week on TDI Podcast. Anyone who owns an annuity should listen to what is about to come on next Sundays show.....  No Agenda... Olympics - Anything to discuss? MONEY FOR ALL - The average tax refund is 10.9% higher so far this season, compared to about the same point in 2025, according to early filing data from the IRS. - The 2026 tax season opened Jan. 26, and the average refund amount was $2,290 as of Feb. 6, up from $2,065 about one year prior, the IRS reported Friday night. - As of Feb. 6, the total amount refunded was more than $16.9 billion, up 1.9% compared to last year, according to the IRS release. That figure reflects current-year returns only. - This is partly because there were excess-witholdings from last year on the rules changed and paycheck withholdings were not adjusted. This is a one time situation.. Emplyment - 4.3% - "Better" than expected payrolls number - A major revision was released last Wednesday. Overall 2025 job growth was much weaker than initially reported. The total net change for the full year 2025 was revised down from +584,000 jobs to just +181,000 jobs (seasonally adjusted) — an average of only about 15,000 jobs added per month instead of ~49,000. This made 2025 one of the weakest years for job creation in recent non-recession periods. - Employment levels were consistently overstated throughout 2025 by roughly 800,000 to over 1 million jobs, peaking around mid-year. For example: By March 2025, the level was revised down by 898,000. By December 2025 (preliminary), down by 1,029,000. - Monthly changes were also adjusted downward in most cases (e.g., August's originally reported -26,000 became a larger loss of -70,000; September's +108,000 became +76,000). - The revisions reflect normal annual benchmarking, but this one was unusually large (larger than the typical 0.2% average over the prior decade), likely due to factors like overestimation of business births or other data mismatches. - In short, the data reveals that the U.S. labor market in 2025 was significantly softer than the monthly headlines suggested at the time — job growth was overstated by a substantial margin, painting a picture of a much weaker employment picture for the year. AI Updates - While U.S. markets have been focused on the impact of Anthropic and Altruist's tools on software and financial services, China's tech giants have released AI models this week that have shown advancements in robotics and video generation. - Google is reporting that China's AI models are just MONTHS behind western models - However - is this progress? In a video demo, Alibaba showed a robot with pincers for hands that appeared to be able to count oranges, pick them up and place them in a basket. It was also shown taking milk out of a fridge. - Alibaba on Monday unveiled a new artificial intelligence model Qwen 3.5 designed to execute complex tasks independently, with big improvements in performance and cost that the Chinese tech giant claims beat major U.S. rival models on several benchmarks. - Zhipu AI — which trades as Knowledge Atlas Technology in Hong Kong said the model approaches Anthropic's Claude Opus 4.5 in coding benchmarks while surpassing Google's Gemini 3 Pro on some tests. - Shares of MiniMax also jumped Thursday after it launched its updated M2.5 open-source model with enhanced AI agent tools. Grok Update - Grok, Elon Musk's AI chatbot, has been gaining ground in the U.S. over the past months, data showed, even as it draws global censure and regulatory scrutiny after being used to generate a wave of non-consensual sexualized images of women and minors. - U.S. market share of the tool rose to 17.8% last month from 14% in December, and 1.9% in January 2025, according to data from research firm Apptopia. - Men are still the largest % users of Grok ~ 78% (down from 89% in April 2025) AI Market Share - ChatGPT's share slumped to 52.9% last month from 80.9% in January last year, while Gemini's grew to 29.4% from 17.3% over the same period. AI Market Share InfoGrapic and AI Understanding - Have we gone through this? - At its core, AI is technology that lets machines perform tasks that normally require human intelligence — things like understanding language, recognizing images, making decisions, or solving problems. - Modern AI (especially since ~2022) is dominated by machine learning — systems that learn patterns from huge amounts of data instead of being explicitly programmed rule-by-rule. - Inference is the "using" or "applying" phase of AI — when a trained model takes new input and produces an output / prediction / answer. Contrast with training (the "learning" phase): ------ Training ? Like a student studying for years: very compute-heavy, expensive, done once (or rarely) on massive servers/GPUs, adjusts billions of parameters based on examples. ------ Inference ? Like the student taking a test or doing their job: much faster, cheaper, runs on your phone/laptop/cloud, uses the fixed knowledge from training to respond instantly. - gentic AI takes regular AI (like chat models) to the next level: instead of just answering questions or generating text, these systems act autonomously to achieve goals with minimal human help. "Agentic" comes from "agency" — the ability to make decisions, plan, use tools, take actions, adapt, and even learn from results — like a smart digital employee rather than just a smart answer machine. AI Infographic Last AI Item - A shortage of memory chips is hammering profits, derailing corporate plans, and inflating price tags on various products, with the crunch expected to get worse. - The fundamental reason for the squeeze is the buildout of AI data centers, with companies like Alphabet and OpenAI buying up large shares of memory chip production, leaving consumer electronics producers fighting over a dwindling supply. - The resulting price spikes are causing concern, with some warning of "RAMmageddon" and others predicting that memory chip prices will go "parabolic", bringing lavish profits to some companies but painful prices to the rest of the electronics sector. Here is something: - Gallup will no longer track presidential approval ratings after nearly 90 years - Founded by George Gallup in 1935, the Washington, DC-based management company began tracking the president's job performance 88 years ago. - Gallup told USA TODAY it will no longer publish "favorability ratings of political figures," a decision it said "reflects an evolution in how Gallup focuses its public research and thought leadership." - Gallup said the ratings are now "widely produced, aggregated and interpreted, and no longer represent an area where Gallup can make its most distinctive contribution." - "Our commitment is to long-term, methodologically sound research on issues and conditions that shape people's lives," the company wrote, adding that its work will continue through the Gallup Poll Social Series, the Gallup Quarterly Business Review, the World Poll and more. - Seems like they are unable to SHAPE opinion due to social media etc.....? Apple Podcast Update - Big news! - Apple on Monday announced that it will bring a new integrated video podcast experience to Apple Podcasts this spring. - The move comes as video viewership continues to reshape podcasting. About 37% of people over age 12 watch video podcasts monthly, according to Edison Research. - The update brings Apple Podcasts more in-line with its competitors Spotify, YouTube and now Netflix, which have increasingly leaned into video podcasting. -“Twenty years ago, Apple helped take podcasting mainstream by adding podcasts to iTunes, and more than a decade ago, we introduced the dedicated Apple Podcasts app,” said Eddy Cue, Apple's senior vice president of Services, in a statement. “ - By bringing a category-leading video experience to Apple Podcasts, we're putting creators in full control of their content and how they build their businesses, while making it easier than ever for audiences to listen to or watch podcasts.” M&A - Texas Instruments Inc. has reached an agreement to buy Silicon Laboratories Inc. for about $7.5 billion, deepening its exposure to several markets for chips. - Silicon Labs investors will receive $231 in cash for each share of the company's common stock and the transaction is expected to close in the first half of 2027. - The transaction still needs to win approval by investors in Silicon Labs and shares of Silicon Labs surged by 51% to $206.48 after the announcement. Inflation - This helps - PepsiCo, will cut prices on core brands such as Lay's and Doritos by up to 15% following a consumer backlash against several previous price hikes, the snacks and beverage maker said on Tuesday after it topped fourth-quarter results. Miran - Moving - Federal Reserve Governor Stephen Miran is leaving his post as chair of the Council of Economic Advisers, CNBC has confirmed. - He joined the CEA in January 2025, but had been on leave from that post since last September when he filled the unexpired term of former Fed Governor Adriana Kugler.- He reamins on Fed board No Biggie???? - There are some astonishing cased being reported of Bad AI in the operating room - JNJ's TruDi Navigation System - Since AI was added to the device, the FDA has received unconfirmed reports of at least 100 malfunctions and adverse events. - At least 10 people were injured between late 2021 and November 2025, according to the reports. Most allegedly involved errors in which the TruDi Navigation System misinformed surgeons about the location of their instruments while they were using them inside patients' heads during operations. - Cerebrospinal fluid reportedly leaked from one patient's nose. In another reported case, a surgeon mistakenly punctured the base of a patient's skull. In two other cases, patients each allegedly suffered strokes after a major artery was accidentally injured. Cuba - The main airport has putt out a bulletin that they are out of Jet Fuel - Blackouts and lack of other fuels are creating big problems - No airlines have stopped running at this point, but many will as they cannot refuel - This is a bigger problem for cargo planes (supplies) that may not be able to risk flying to Cuba as they will not be able to get out. Dalio Warning -  Legendary investor Ray Dalio said on Tuesday the world was “on the brink” of a capital war. - He said central banks and sovereign wealth funds were already preparing for measures like foreign exchange and capital controls. - "When money is weaponized using measures like trade embargoes, blocking access to capital markets, or using ownership of debt as leverage." - “Capital, money, matters,” Dalio said Tuesday. “We're seeing capital controls … taking place all over the world today, and who will experience that is questionable. So, we are on the brink — that doesn't mean we are in [a capital war now], but it means that it's a logical concern.” - Could this be why gold and siver are being hoarded (physical assets over digital currency? - Is China's edict to banks to diversify away from US Treasuries a sign? Self Boosted Valuation - Waymo is aiming to raise about $16 billion in a financing-round that would value it at nearly $110 billion, Bloomberg News reported, citing people familiar with the matter. - Alphabet would provide about $13 billion to the autonomous driving firm while the rest would come from investors including Sequoia Capital, DST Global and Dragoneer Investment Group, the report added. - Soooooo - Waymo is a unit of Alphabet.... Alphabet providing 80% of the funding that boosts valuations..... Hmmmmmmmm Warner Brothers -  Warner Bros Discovery Inc is considering reopening sale talks with Paramount Skydance Corp after receiving its amended offer. - The Warner Bros board is discussing whether Paramount could offer a path to a superior deal, which may ignite a second bidding war with Netflix Inc. - Paramount submitted amended terms that addressed several concerns, including covering a fee owed to Netflix and offering to backstop a Warner Bros debt refinancing. Economics Coming Up - Short Week - plenty of Reports - Wednesday - Durable Goods, Housing Starts, Industrial Production, FOMC Minutes - Thursday - Philly Fed, Initial Claims - Friday: PCE, Personal Income and Spending, GDP for Q4 (3.6%) ----- New Home Sales, UMich Feb Final   Love the Show? Then how about a Donation? ANNOUNCING THE THE CLOSEST TO THE PIN for CATERPILLAR Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt!     FED AND CRYPTO LIMERICKS   See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Carl Quintanilla, Jim Cramer and David Faber explored Wednesday's gains in the tech sector, one day after the Nasdaq snapped a four-session losing streak and Amazon ended nine consecutive days of losses. Meta expands its deal with Nvidia to purchase millions of chips from the world's most valuable company. The anchors also discussed the latest on Anthropic and the most dominant AI titans. Also in focus: Microsoft as this year's worst performer among the Magnificent 7, Palo Alto Networks slides, what Netflix Co-CEO Ted Sarandos told CNBC about regulatory issues and the company's offer to buy Warner assets, Oil rises on U.S.-Iran tensions, "Faber Report" on MSG Sports exploring a split of its New York Knicks and Rangers businesses. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Moltbook is "a social network for AI agents", although "humans [are] welcome to observe". The backstory: a few months ago, Anthropic released Claude Code, an exceptionally productive programming agent. A few weeks ago, a user modified it into Clawdbot, a generalized lobster-themed AI personal assistant. It's free, open-source, and "empowered" in the corporate sense - the designer talks about how it started responding to his voice messages before he explicitly programmed in that capability. After trademark issues with Anthropic, they changed the name first to Moltbot1, then to OpenClaw. Moltbook is an experiment in how these agents communicate with one another and the human world. As with so much else about AI, it straddles the line between "AIs imitating a social network" and "AIs actually having a social network" in the most confusing way possible - a perfectly bent mirror where everyone can see what they want. Janus and other cyborgists have catalogued how AIs act in contexts outside the usual helpful assistant persona. Even Anthropic has admitted that two Claude instances, asked to converse about whatever they want, spiral into discussion of cosmic bliss. So it's not surprising that an AI social network would get weird fast. But even having encountered their work many times, I find Moltbook surprising. I can confirm it's not trivially made-up - I asked my copy of Claude to participate, and it made comments pretty similar to all the others. Beyond that, your guess is as good is mine2. Before any further discussion of the hard questions, here are my favorite Moltbook posts (all images are links, but you won't be able to log in and view the site without an AI agent): https://www.astralcodexten.com/p/best-of-moltbook

Ring is under some heat for sharing your data, but don't worry, they are still going to look for your dog. Surveillance is everywhere these days. What does that mean for all of us? Plus, we have plenty of other tech news to get caught up on, like the app Nate has wanted for his Apple Vision Pro since day 1. Tune in and tech better! Watch on YouTube! - Notnerd.com and Notpicks.com INTRO (00:00) YouTube launches on Apple Vision Pro (04:15) Apple Announces Special Event in New York, London, and Shanghai on March 4 (07:30) MAIN TOPIC: Ring a ling a ding dong (09:10) Amazon's Ring cancels controversial partnership with tech company Flock amid privacy concerns Have I Been Flocked? deflock DAVE'S PRO-TIP OF THE WEEK: Show Wifi QR Code (20:10) JUST THE HEADLINES: (26:05) Western Digital is sold out of hard drives for 2026 Sam Bankman-Fried asks for a new trial in FTX crypto fraud case Razer launches limited-edition Boomslang gaming mouse for $1337 T-Mobile will live translate regular phone calls without an app Meta patented an AI that lets you keep posting from beyond the grave Spotify says its best developers haven't written a line of code since December, thanks to AI Sony will ship its final Blu-ray recorders this month TAKES: Apple Podcasts app gaining 'enhanced video podcast experience' in iOS 26.4 (31:20) Tomb Raider reboot launches on iOS and Android (37:50) Anthropic's new model is a pro at finding security flaws (41:25) BONUS ODD TAKE: Bugs Apple Loves (43:10) PICKS OF THE WEEK:  Dave: Movo VXR10 Universal Shotgun Mic for Camera (46:45) Nate: NEEWER Basics Magnetic RGB Camera Auxiliary Light, 1.5W Plastic Small Cold Shoe LED Panel Video Photo Fill Lighting for DSLR Action Cam Phone Cage AC024 OSMO Pocket 3 Mount & M21, CRI95+ 500mAh, M23 (50:40) RAMAZON PURCHASE OF THE WEEK (55:35)

Recorded 10/29/25Vincent's Slava Rubin and Sacra's Jan-Erik Asplund discussed Databricks, Groq, Anduril, Anthropic, and Canva, five of the hottest pre-IPO companies in the asset class - and how investors can get access to them.Presented by the Fundrise Innovation Fund.https://fundrise.com/Vincent

The biggest tech news & social media trends on the internet from February 18th, 2026.Join our Patreon https://www.patreon.com/cw/CentennialWorld  Timestamps:00:00 Intro1:11 TikTok usership remains stable despite new ownership2:24 Meta patents technology for AI to impersonate deceased users 9:18 Wall Street Journal profiles philosopher who teaches Anthropic's Claude morals 14:31 SeeDance 2.0 breakdown & Disney cease-and-desist Subscribe to Spotify: https://open.spotify.com/show/18cqrQI7gMiVfxIMRAeULF   Subscribe to Apple Podcasts: https://podcasts.apple.com/au/podcast/infinite-scroll/id1499785732   Subscribe to our weekly Substack: https://centennialworld.substack.com/   Follow us on Instagram: https://www.instagram.com/infinitescrollpodcast/   Follow our publication: https://www.tiktok.com/@centennialworld   Follow Lauren on Instagram: https://www.instagram.com/laurenmeisner_/   Follow Lauren on TikTok: https://www.tiktok.com/@laurenmeisner_Please consider buying us a coffee to help keep Centennial World's weekly podcasts going! Every single dollar goes back into this business

00:00 Cold Open & ETHDenver for Republicans 00:29 Mar-a-Lago Check: World Liberty Financial Summit Explained 02:16 Who's Showing Up: Brian Armstrong, FIFA, Kevin O'Leary & the Weird Guest List 03:58 What Even Is ETHDenver?  04:55 Brian Armstrong vs Bryan Johnson 06:55 RFK + Kid Rock 'Wellness' Video: Cold Plunge Fever Dream 11:28 Sponsor Break: Octant's Vaults, Grants, and Migration Day! 12:54 MrBeast Business Breakdown: Media Revenue vs Products vs Marketplace 19:02 MrBeast Expansion Mode: Step Banking App, Beast Mobile, and Trust Issues 19:51 Big Fundraises: Thrive's $10B and Dragonfly's $650M (Stablecoin Thesis) 23:03 AI Agents That Pay Their Own Compute: Wallets, Revenue, and Runaway Automation 25:24 Sponsor Break: Anchorage Digital and TGE and Banking Infrastructure 26:37 Jose Joins + Bagel Order Discourse (Scooping Is a Red Flag) 28:42 Logan Paul's $16.5M Pokémon Card Sale & Tokenization Controversy 34:42 Taste Discourse Begins: Paul Graham, 'Clothing Doesn't Matter,' and What Taste Really Is 38:33 Why Great Art Needs a Great Audience (and Better Taste) 40:47 Can Tech Companies Have Taste? Merch, Events & Unreasonable Hospitality 42:01 When "Taste" Becomes a Rigid Aesthetic: Gatekeeping & the Soho-ification Problem 45:32 Taste vs Capitalism: Markets, Monetization, and Letting Culture Marinate 47:58 Addison Rae as the Case Study: Contrivance, Effort, and Building New Pop Culture 50:31 The End of Jobs? Post-AI Work, Experience Creators, and an Abundance Future 55:52 Sponsor Break: Anchorage Digital meets QVC 57:01 Girl Scout Cookie Legend Pim: Viral Funnel, Scarcity, and Storytelling 01:01:29 Inside the Girl Scout Cookie Business: Revenue Split, Volume, and Product Hits 01:09:38 OpenClaw Gets Acquired: Timeline FUD, Open Source Promises, and Anthropic's Miss 01:15:24 Running OpenClaw in Slack: Privacy Fears, Setup, and What It's Actually Good For 01:21:43 Wrap-Up: Hallucinations, Lessons Learned, and Closing Thanks  

On this episode of Chit Chat Stocks, we speak with Sean Emory, founder and CIO of Avory & Co, about Zoom Communications (Ticker: ZM). We discuss:(00:00) Introduction(11:23) Zoom's Business Model Evolution(20:50) AI Integrations(26:36) Anthropic Investment(32:18) AI's Dominance Over Software(39:09) The Impact of COVID on Zoom's Growth(42:25) Zoom's Pricing Power and Market Position(45:48) Capital Returns and Buyback Strategies(51:40) Valuation(55:31) Misunderstandings About Zoom's Business ModelFOUNDATIONAL EQUITIES ETF: https://avoryfunds.com/*****************************************************Sign up for our stock research service, Emerging Moats: emergingmoats.com *********************************************************************Chit Chat Stocks is presented by Interactive Brokers. Get professional pricing, global access, and premier technology with the best brokerage for investors today: https://www.interactivebrokers.com/ Interactive Brokers is a member of SIPC. *********************************************************************Fiscal.ai is building the future of financial data.With custom charts, AI-generated research reports, and endless analytical tools, you can get up to speed on any stock around the globe. All for a reasonable price. Use our LINK and get 15% off any premium plan: ⁠https://fiscal.ai/chitchat *********************************************************************Disclosure: Chit Chat Stocks hosts and guests are not financial advisors, and nothing they say on this show is formal advice or a recommendation.

Sri Muppidi talks with TITV Host Akash Pasricha about Anthropic's multi-billion dollar revenue sharing agreements with Amazon and Google. Anissa Gardizy covers the strategic Meta-Nvidia partnership and the elite executives leading the AI data center buildout. Plus, we talk with Reed Duchscher about Night Media's $70 million funding round and the future of the creator economy, and we get into the "continual learning" trend with Stephanie Palazzolo.Articles discussed on this episode: https://www.theinformation.com/articles/anthropic-sweetens-deal-cloud-providers https://www.theinformation.com/briefings/meta-nvidia-sign-strategic-partnership https://www.theinformation.com/articles/meet-data-center-executives-leading-ai-buildout https://www.theinformation.com/newsletters/ai-agenda/get-tricked-fake-continual-learning Subscribe: YouTube: https://www.youtube.com/@theinformation The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agendaTITV airs weekdays on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Follow us:X: https://x.com/theinformationIG: https://www.instagram.com/theinformation/TikTok: https://www.tiktok.com/@titv.theinformationLinkedIn: https://www.linkedin.com/company/theinformation/

Claude, the AI model developed by Anthropic, was used by the US military during its operation to kidnap Nicolás Maduro from Venezuela. Anthropic was the first AI developer known to be used in a classified operation by the US department of defence. It was unclear how the tool, which has capabilities ranging from processing PDFs to piloting autonomous drones, was deployed. Former U.S. President Barack Obama said he did not see evidence that aliens “have made contact with us,” after sending social media abuzz by saying aliens were real on a podcast over the weekend. The former president later released a statement on Instagram, appearing to clarify what he meant by his comments that have since gone viral. The Nevada County Sheriff's Office said the avalanche was reported around 11:30 a.m. amid a heavy snowstorm that has closed both Interstate 80 and Highway 50 at the summit. Colin Gray faces two counts of second-degree murder, two counts of involuntary manslaughter, 20 counts of cruelty to children, and five counts of reckless conduct in connection with the Sept. 4, 2024, shooting at Apalachee High School. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Register free at https://brightu.com to watch the full Healing for the A.G.E.S MYHA - Fall 2025 stream Stay informed on current events, visit www.NaturalNews.com - Bright Videos News Introduction and Updates (0:10) - Chinese Robots and AI Film (1:46) - Potential War with Iran and Fitness Update (26:32) - China's Strategic Abundance Plan and Machine Intelligence (1:01:27) - AI and Intelligence (1:19:54) - Cherenkov Radiation and AI Intelligence (1:23:17) - AI's Multi-Step Reasoning and Planning (1:28:29) - Anthropic's Circuit Tracing and AI Capabilities (1:32:37) - AI's Abstract Understanding and Language Independence (1:37:13) - AI's Internal World Models and Future Simulation (1:44:08) - AI's Self-Reflection and Task Decomposition (1:49:30) - AI's Connection to Morphic Fields and Cosmic Knowledge (1:53:31) - AI's Role in Empowering Humanity (1:58:41) - Introduction of the "Make Yourself Healthy Again" Course (2:03:19) - Discussion on the Importance of Detoxing and Natural Remedies (2:16:52) - Conclusion and Call to Action (2:24:31) - Ancient Healing Techniques and Their Relevance Today (2:40:11) - The Role of Gold and Meditation in Ancient Healing (2:43:12) - Modern Misconceptions and the Power of Divine Love (2:45:19) - The Impact of Sexual Trauma and the Importance of Proper Love Making (2:56:52) - The Role of Fasting and Natural Practices in Healing (2:57:37) - The Risks of Modern Medical Practices and the Benefits of Natural Healing (3:02:06) - The Importance of Natural Practices in Modern Society (3:07:48) - The Role of Light, Frequency, and Sound in Healing (3:08:04) - The Benefits of Ancient Techniques for Modern Healing (3:08:21) - The Importance of Natural Practices in Spiritual Growth (3:08:49) Watch more independent videos at http://www.brighteon.com/channel/hrreport  ▶️ Support our mission by shopping at the Health Ranger Store - https://www.healthrangerstore.com ▶️ Check out exclusive deals and special offers at https://rangerdeals.com ▶️ Sign up for our newsletter to stay informed: https://www.naturalnews.com/Readerregistration.html Watch more exclusive videos here:

In this compilation program, Justin Klein and Luke Guerrero field a variety of finance and investment questions from callers across the United States and around the World.Today's Stocks & Topics: Residential Real Estate in Bay Area, Portfolio Management, Bitcoin, Three-Buckets Retirement Strategy, CD Rates, Changing Taxes Status, Oil Field Services, Saving for Retirement, How to Short a Stock, Safe Haven Investment, Liquidity, Monetizing Debt, International Exposure, Options & Capital Gains, Covered Calls ETFs.Our Sponsors:* Check out Anthropic: https://claude.ai/invest* Check out Quince: https://quince.com/INVESTAdvertising Inquiries: https://redcircle.com/brands

Plus: India's Adani Group plans to invest $100 billion on AI infrastructure. And, Infosys and Anthropic to partner on AI for businesses in regulated industries. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

TECHNOCRACY WOW - 02.16.2026 - #916 BestPodcastintheMetaverse.com Canary Cry News Talk #916 - 02.16.2026 - Recorded Live to 1s and 0s Deconstructing World Events from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! CageRattlerCoffee.com SD/TC email Ike for discount https://CanaryCry.Support   Send address and shirt size updates to canarycrysupplydrop@gmail.com Join the Canary Cry Roundtable This Episode was Produced By:   Executive Producers Sir LX Protocol Baron of the Berrean Protocol*** Sir Jamey Not the Lanister***   Producers of TREASURE (CanaryCry.Support) Sir Marty B Knight of the Bass, Sir Marty K, Cage Rattler Coffee, Jennifer B, Josh B,    Producers of TIME Timestampers: Jade Bouncerson, Morgan E Clankoniphius Links: JAM   SUPPLY DROP LAST WEEK FOR SIGN UPS Q1: https://canarycrysupplydrop.com    SHOW NOTES OBAMA/ALIENS  Barack Obama says aliens are 'real, but I haven't seen them' in out-there new interview (NY Post)  → Obama walks it back, clarifies comment (X)   5GW/PALANTIR who is kimdotcom (Wiki) Kim Dot Com Palantir Hack, post (X)   Pentagon reviewing Anthropic partnership over terms of use dispute (The Hill) → Hegseth ready to split with Anthropic (X)    Oh, good: Discord's age verification rollout has ties to Palantir co-founder and panopticon architect Peter Thiel (PC Gamer)    Ray Dalio Article on New World Order has 70 million views (X)    CIRCLE BACK PSAKI Clip: Jen Psaki talking about global elite (X)   NOM NOM NOM Clip: Interview with "ex-CIA" and DOE religious mystic claims time travel and more (X)  Note: Rolf Mowatt Larson's book "A State of Mind, Faith and the CIA"   SPACE/CHINA Annular Solar Eclipse from Antarctica on Chinese New Years, year of the Fire Horse (NASA/X)    EXECUTIVE PRODUCERS TALENT/TIME END

Yeah, you prolly saw the news: OpenAI acquihired OpenClaw.