Podcasts about CC

Laurens en Stefan gaan verder. Laurens gehavend in de Colombiaanse jungle. Stefan warmpjes achter het bureau in Naarden. Het grote aftellen afgelopen. We zijn eraan begonnen. Omloop en Kuurne liggen achter ons. En de kijker kreeg waar voor z'n geld. De show van Mathieu, de tandjes van Rick, Frits B. in de vlucht, het was genieten. Als zullen er onder de renner ook zijn die het niks aan vonden, want het was weer een slagveld aan valpartijen. En hoe zat het ook alweer met de twaalf ijsjes? Je hoort het allemaal, in weer een nieuwe aflevering van de Live Slow Ride Fast podcast.

Send a textEver had someone CC half the company to “helpfully” point out your missing comma? We've been there. Today we unpack the office characters you secretly love to hate—the grammar police, the drama magnets, the nonstop talkers, and the tech dinosaurs—and share practical ways to set boundaries without burning bridges. We start human: the joy of a quiet morning with coffee and hockey, Olympic highlights, and the weird entertainment value of curling controversies. Then we get to the heart of HR work—how small details can derail big moments, and how to keep credibility when your tools lock after launch.We break down what separates a helpful edit from a public gotcha, why precision matters in performance reviews and open enrollment, and how to proof smarter in systems like Workday and UKG. We also dive into AI's double edge. Yes, it catches typos and speeds up drafting. But it can flatten everyone's voice and hallucinate facts. Our take: treat AI like a smart intern—use it for structure, then rewrite in your tone and verify every claim. On the hiring front, we explore subtle ways to spot AI-generated resumes and emails, from odd phrasing to robotic follow-ups, and we share prompts and cues that nudge applicants to reveal real thinking.From there, we tackle culture moments big and small: how to redirect bias in the room without escalating, how to build a mother's room and shut down rumor mills with clarity, and how to handle the six-hour orientation derailed by a single talker. Expect scripts you can steal, boundaries you can set, and playbooks for keeping meetings on track. We even admit our side gig as family IT support and the simple boundary hacks that save your sanity at home and at work.If you've ever wished your workplace had fewer what-the-heck moments and more calm, you'll find real talk and ready-to-use moves here. Subscribe, share with a friend who needs a laugh and a plan, and leave a review to tell us which “employee you love to hate” we should tackle next.Support the showWe want to hear from you.Text us or leave a voicemail (252) 564-9899‬email: feedback@jadedhr.comWant to:* Share a dumb employee question* Share a crazy story* Ask us a question* Share a best practice * Give us feedback Our Link Tree below has links to our social media sites, Patreon, Apple podcasts, Spotify & more.Please leave a review on your favorite podcast player and interact with us online!Linktree - https://linktr.ee/jadedhrFollow Cee Cee on IG - BoozyHR @ https://www.instagram.com/boozy_hr/

A Good Omens ⁠fanfic by mostlyeffable⁠. Part 1 of the Unkind Regards series.Music: ⁠Mainstream Music 2025 Vol. 8, Produced by Sascha Ende ⁠(⁠⁠⁠⁠CC-BY 4.0⁠⁠⁠⁠) Sounds: Email notification: ⁠https://freesound.org/people/OptronTeamFilms/sounds/521094/⁠(CC-0)Text notification (Crowley): ⁠https://freesound.org/people/GabrielAraujo/sounds/242502/⁠(CC-0)Text notification (Aziraphale): ⁠https://freesound.org/people/mickleness/sounds/269185/⁠(CC-0)Phone ringtone: ⁠https://freesound.org/people/jhyland/sounds/539661/⁠(CC-0)Paper rustle: ⁠https://freesound.org/people/asuli513/sounds/270364/⁠(CC-0)RL knock: ⁠https://freesound.org/people/Dreadwolf910/sounds/615987/⁠(CC-0)For tags and other details, to leave kudos and comments, please visit the corresponding post on archiveofourown: ⁠https://archiveofourown.org/works/80169236⁠!

CC Sabathia's No. 52 will be retired on the final Saturday of the regular season, and the reaction is pure excitement… mixed with disbelief that anyone would object. The guys explain why a first-ballot Hall of Famer going in as a Yankee automatically qualifies, why the “only one championship” argument doesn't hold up, and how CC embodied the post-dynasty era of Yankees greatness. Callers weigh in with comparisons to Bernie Williams, Jorge Posada, and other retired numbers, sparking a larger debate about what the true criteria should be in the Bronx. The conversation also veers into legacy talk, Cy Young arguments, and just how much Sabathia meant to the 2009 title run and the franchise's identity for more than a decade. A passionate defense of CC closes the segment, along with a quick look at the broader landscape of retired numbers across New York sports and who could be next.

CC Sabathia's No. 52 officially getting retired by the Yankees, with the ceremony slated for Saturday, September 26 vs. the Orioles. The guys lay out why CC is an automatic “yes,” why the championship-count argument is lazy, and why being a first-ballot Hall of Famer going in as a Yankee ends the discussion. Calls roll in with pushback, Bernie vs. CC comparisons, and even a detour into whether A-Rod's number should be in the rafters too. From there, the show pivots to the Jets and the nonstop quarterback carousel, including the “bridge QB” debate around Kirk Cousins, what Frank Reich's presence means, and the bigger question Jets fans keep asking: is there finally a real plan, or is it just another year of vibes and wishcasting. More calls hit on roster direction, organizational competence, and who actually has the brighter future right now. And then, out of nowhere, Tampa International Airport becomes the main character, with a viral push to ban pajamas (and allegedly Crocs) from the airport. The guys argue comfort vs. common decency, draw a line between sweatpants and pajama pants, and spiral into the classic department-store holiday photo tradition that somehow involves showing up in matching pajamas. It's a full hour of Yankees pride, Jets anxiety, and one very heated etiquette debate.

"Why are you in the Epstein files?"It is a question Rushkoff received from his own daughter, and in this raw monologue, he gives the full answer.His name appears in the CC field of emails from his former literary agent alongside Bill Gates, Sergey Brin, and yes, Jeffrey Epstein. But the story of why those names were grouped together reveals something much darker than a mailing list.Rushkoff recounts a disturbing mid-90s dinner party where he was physically grabbed by a host and scolded for "wasting his plus-one" on a brilliant female intellectual instead of "eye candy" to decorate the room for the male elites. He traces the lineage of this misogyny directly to the "scientism" of figures like Richard Dawkins and Steven Pinker, whose theories of humans as "meat machines" and "survival vehicles for genes" provided the perfect philosophical cover for sociopaths like Epstein to commodify and abuse women.This is not just a story about a predator; it is an indictment of the "permission structure" built by the scientific and tech elite. A worldview that dismisses human soul, consent, and morality as mere delusions.Team Human is proudly sponsored by Everyone's Earth.Learn more about Everyone's Earth: https://everyonesearth.com/Change Diapers: https://changediapers.com/Cobi Dryer Sheets: https://cobidryersheets.com/Use the code “rush10” to receive 10% off of Cobi Dryer sheets: https://cobidryersheets.com/Support Team Human:Team Human is a listener-supported project. To get ad-free access to this episode, join our quarterly Zooms, and support this work, please visit https://www.patreon.com/teamhuman Hosted on Acast. See acast.com/privacy for more information.

Laurens en Stefan gaan verder. Laurens heeft net een duik genomen in de Rio Negro, Stefan zit veilig thuis. Het grote aftellen is begonnen. Bijna tijd voor de Omloop. Het ossewit kan van stal, de supportersclubjes strijken hun vlaggen, de bussen worden gepoetst. Wie zijn de favorieten? Wie niet? Wat zeggen de resultaten tot nu toe? Doet het er wat toe?En hoe zat het ook alweer met Miquelito? Je hoort het allemaal, in weer een nieuwe aflevering van de Live Slow Ride Fast podcast.

Laurens en Stefan gaan verder. Laurens heeft net een duik genomen in de Rio Negro, Stefan zit veilig thuis. Het grote aftellen is begonnen. Bijna tijd voor de Omloop. Het ossewit kan van stal, de supportersclubjes strijken hun vlaggen, de bussen worden gepoetst. Wie zijn de favorieten? Wie niet? Wat zeggen de resultaten tot nu toe? Doet het er wat toe?En hoe zat het ook alweer met Miquelito? Je hoort het allemaal, in weer een nieuwe aflevering van de Live Slow Ride Fast podcast.

Antes de convertirse en uno de los comandantes más brillantes del inicio de la guerra en el desierto, Richard O'Connor fue un oficial forjado en la Primera Guerra Mundial y en los conflictos periféricos del Imperio británico. Metódico, profesional y poco dado a la grandilocuencia, O’Connor asumió el mando de la Fuerza del Desierto Occidental en 1940, en un momento crítico para Gran Bretaña. En este episodio recorremos su trayectoria hasta la Operación Compass, la ofensiva que transformó una fuerza numéricamente inferior en protagonista de una de las campañas más sorprendentes del inicio de la Segunda Guerra Mundial. Te lo cuentan Félix L. y Antonio G. Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 http://casusbelli.top ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es propia, o bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. 🎵 Todos los temas musicales aparecidos en este episodio están compuestos por Dani CarAn. Esta obra está protegida bajo la licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Queréis contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

This episode is sponsored by Airia. Get started today at ⁠⁠⁠⁠⁠⁠⁠⁠⁠airia.com⁠⁠⁠⁠⁠⁠⁠⁠⁠. On this week's AI Inside with Jason Howell and Jeff Jarvis, I unpack the viral “2028 Global Intelligence Crisis” memo, Anthropic's claims of Claude distillation attacks, an OpenClaw inbox meltdown, Meta's massive AMD chip bet, Samsung's “Hey Plex” phones, Pomelli's AI product shots, and Claude's new Wall Street push. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. Chapters: 0:00 - Start 0:02:55 - THE 2028 GLOBAL INTELLIGENCE CRISIS 0:04:45 -  Viral Doomsday Report Lays Bare Wall Street's Deep Anxiety About AI Future 0:08:24 -  IBM is the latest AI casualty. Shares tank 13% on Anthropic programming language threat 0:09:22 -  Cybersecurity stocks drop for a second day as new Anthropic tool fuels AI disruption fears 0:20:00 - Anthropic: Detecting and preventing distillation attacks 0:24:19 -  American AI Industry Trembles as Deepseek Prepares to Release New Model 0:33:41 -  Meta Exec Learns the Hard Way That AI [Openclaw] Can Just Delete Your Stuff 0:37:39 -  Google clamps down on Antigravity 'malicious usage', cutting off OpenClaw users in sweeping ToS enforcement move 0:41:52 -  Jia Zhangke Creates AI Video With Seedance 2.0 0:42:29 - The video (translation CC available) 0:52:21 -  Facebook owner Meta to buy AI chips from AMD in deal worth up to $100 billion 0:53:08 -  Nvidia's Deal With Meta Signals a New Era in Computing Power 0:54:13 -  Samsung is adding Perplexity to Galaxy AI 0:55:22 - Google: Create studio-quality marketing assets with Photoshoot in Pomelli 0:56:55 - Anthropic Links AI Agent With Tools for Investment Banking, HR Learn more about your ad choices. Visit megaphone.fm/adchoices

Today, in our ongoing You're in Good Company series, Molly Flinkman tells us about the time she invited nine strangers into her home for Thanksgiving. She fully owns what an insane situation it was while also making a compelling case for why it mattered so much. In this episode, you'll hear how Molly came to value this kind of hospitality—why she keeps her eyes open for strangers in need—and she'll also give some smaller scale suggestions about how this can play out in our real lives. In all the stories she tells, Molly invites us to consider the question she continually asks herself: What kind of stranger will you be? This show is brought to you ad-free by our generous Substack community. If you'd like to support the work we do for as little as $3/month, head to coffeeandcrumbs.substack.com to join us (and get bonus episodes!). For show notes, go to coffeeandcrumbs.net/podcast. We love hearing Molly tell stories; listen to this bonus episode to hear more stories from the C+C team, Story Slam. For more encouragement in your motherhood journey, check out the stories at Coffee + Crumbs.  Show notes:  Pre-order You're In Good Company Molly's monthly newsletter Molly on Substack Molly on Instagram Molly's Coffee + Crumbs essays Coffee + Crumbs on Substack  

GENEROSIDADE: PIX 31.321.234/0001-64 (CNPJ) Banco Bradesco Ag 1997 C/C 23992-5a Igreja Por Amor CNPJ: 31.321.234/0001-64 - Banco Itaú Ag 0562 C/C 16233-9 Igreja Por Amor CNPJ: 31.321.234/0001-64 PAY PAL (Aceita também transações internacionais) https://www.paypal.com/cgi-bin/webscr... SÉRIE "UM RASCUNHO DO REINO DE DEUS": https://bit.ly/3mJrnCt ACESSE NOSSO INSTAGRAM: https://bit.ly/42bmiTC ACESSE NOSSA LOJA: https://bit.ly/3Fg9e5N INSCREVA-SE EM NOSSO CANAL: http://bit.ly/2XjDllG%E2%80%8B NOSSO PODCAST: Spotify - https://open.spotify.com/show/6ysyRrS... Deezer - https://deezer.page.link/8fwdrcpiLFMW... Apple podcast - https://podcasts.apple.com/br/podcast... #victorazevedo​ #igrejaporamor

GENEROSIDADE: PIX 31.321.234/0001-64 (CNPJ) Banco Bradesco Ag 1997 C/C 23992-5a Igreja Por Amor CNPJ: 31.321.234/0001-64 - Banco Itaú Ag 0562 C/C 16233-9 Igreja Por Amor CNPJ: 31.321.234/0001-64 PAY PAL (Aceita também transações internacionais) https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=6VV5TC5F6FXE6&source=qr - SÉRIE "UM RASCUNHO DO REINO DE DEUS": https://bit.ly/3mJrnCt - ACESSE NOSSO INSTAGRAM: https://bit.ly/42bmiTC - ACESSE NOSSA LOJA: https://bit.ly/3Fg9e5N - INSCREVA-SE EM NOSSO CANAL: http://bit.ly/2XjDllG%E2%80%8B - NOSSO PODCAST: Spotify - https://open.spotify.com/show/6ysyRrS8oAMfWonRkbQsfX?si=iwR2fhI-T5OTJqw2w0JIMw Deezer - https://deezer.page.link/8fwdrcpiLFMWzQWVA Apple podcast - https://podcasts.apple.com/br/podcast/igreja-por-amor/id1347285416 #victorazevedo​ #igrejaporamor

This is a free preview of a paid episode. To hear more, visit www.latent.spaceFirst speakers for AIE Europe and AIEi Miami have been announced. If you're in Asia/Aus, come by Singapore and Melbourne. AI Engineering is going global!One year ago today, Anthropic launched Claude Code, to not much fanfare:The word of mouth was incredibly strong however, and so we were glad to be one of the first podcasts to invite Boris and Cat on in early May:As we discussed on the pod, all CC usage was API-based and therefore it was ridiculously expensive to do anything. This was then fixed by the team including Claude Code in the Claude Pro plan in early June, and then the virality caused us to make a rare trend call in late June:Now, 6 months on, Doug has just calculated that around 4% of GitHub is written by Claude Code:We talk about how Doug uses Claude Code to do SemiAnalysis work.Memory ManiaIn the second part of this episode, we also check in on Memory Mania, which is going to affect you (yes, you) at home if it hasn't already:Full Episode on YouTubeTimestamps00:00 AI as Junior Analyst00:59 Meet Swyx and Doug03:30 From Value Mule to Semis06:28 Moore's Law Ends Thesis12:02 Claude Code Awakening32:02 Agent Swarms Reality Check32:53 Kimi Swarm Benchmarks37:31 Bots vs Zapier Automation39:44 Claude Code Workflow Setup57:54 AGI Metrics and GDP01:04:48 Railroad CapEx Analogy01:06:00 Funding Bubbles and Demand01:08:11 Agents Replace Work Tools01:13:56 Codex vs Claude Race01:21:15 Microsoft and TPU Strategy01:34:13 TPU Window vs Nvidia01:36:30 HBM Supply Chain Squeeze01:39:41 Memory Shock and CXL01:45:20 Context Rationing Future01:54:37 Writing and Trail LessonsTranscript[00:00:00] AI as Junior Analyst[00:00:00] Doug: This crap makes mistakes all the time. All the time. It is still just like a, like I think of it once again as like a junior analyst, right? The analyst goes and does all this like really pain in the ass information and you bring it all together to make a good decision at the top. Historically what happens is that junior analyst, who I once was, went and gathered all that information, and after doing this enough times, there's a meta level thinking that's happening where it's like, okay, here's what I really understand and how this type of analysis, I'm an expert in, actually I'm very good at, I consistently have a hit rate.[00:00:28] Now I'm the expert, right? I don't think that meta level learning is there yet. We'll see if l ones do it, right? Everyone who's spending one quadrillion dollars in the world thinks it will, it better, it better happen by if you're spending, you know, a trillion dollars and there's not meta level learning.[00:00:44] But for me, in our firm, that massively amplifies everyone who is an expert. ‘cause like you have to still do something that you can just like lop it up. It's very obvious to me. What It's slop.[00:00:59] Meet Swyx and Doug

In this episode of Everyday Educator, host Lisa Bailey is joined by Amy Jones and Ginny Tran to explore why memorizing matters — for your children and for you. From scripture memory to poetry and classical memory work, discover how memorization builds wisdom, shapes character, and hides beauty in your heart for life. Amy and Ginny share their earliest memories of memorizing — from singing the books of the Bible at church to reciting Twas the Night Before Christmas by the warmth of a mother's voice — and what those moments reveal about how our brains and hearts learn together. Lisa adds her own stories along the way, including the surprising moment a long-forgotten song came back word-for-word on a Valentine's Day drive. But this conversation goes far deeper than memory work checklists. They unpack why the environment of learning matters just as much as the content, how music plants truth in the mind like an earworm that never leaves, and why memorizing whole passages of Scripture — not just isolated verses — can train our children to think alongside Paul, alongside John, and ultimately, alongside God himself. Whether you're in the thick of Memory Master season or simply looking for fresh motivation to make memorization meaningful in your homeschool, this episode will leave you inspired to see memory work for what it truly is: not a box to check, but a treasure to hide in the heart.   This episode of Everyday Educator is sponsored by: Summit Ministries Do you want your child to have conversations that challenge, encouragement that endure, and friends and faith for life? Summit's Student Conferences equip young Christians with the hope, clarity, and confidence they need to follow Jesus boldly in today's world. It's not just about getting apologetics answers. Students learn how to live winsomely and bravely in today's world. Visit summit.org/cc before March 31, 2026, and lock in the early bird rate. Save an additional $250 when you use the code CC26. Want your child to have conversations that challenge, encouragement that endures, and friends and faith for life? Grab their spot now at summit.org/cc   The Classical Conversations Alumni Network The Classical Conversations Alumni Network is a vibrant community space that builds bridges between CC families and graduates, provides exclusive professional opportunities, and highlights inspirational stories. CC families and graduates will be encouraged and anchored in a supportive community that celebrates the Classical Conversations journey long after Challenge IV. Become a member of the Alumni Network today! Learn more by going to https://ccalumni.network/

A Good Omens fanfic by mostlyeffable. Part 1 of the Unkind Regards series.Music: Mainstream Music 2025 Vol. 8, Produced by Sascha Ende (⁠⁠⁠CC-BY 4.0⁠⁠⁠) Sounds: Email notification: https://freesound.org/people/OptronTeamFilms/sounds/521094/(CC-0)Text notification (Crowley): https://freesound.org/people/GabrielAraujo/sounds/242502/(CC-0)Text notification (Aziraphale): https://freesound.org/people/mickleness/sounds/269185/(CC-0)Phone ringtone: https://freesound.org/people/jhyland/sounds/539661/(CC-0)Paper rustle: https://freesound.org/people/asuli513/sounds/270364/(CC-0)RL knock: https://freesound.org/people/Dreadwolf910/sounds/615987/(CC-0)For tags and other details, to leave kudos and comments, please visit the corresponding post on archiveofourown: https://archiveofourown.org/works/80169236!

Tired of pool rules that don't add up? We peel back the layers on the industry's most persistent myths and replace them with chemistry you can trust. From the “acid column” idea to the belief that liquid chlorine always drives pH sky high, we show where the logic sounds right and why the science says otherwise. You'll learn how acid truly mixes on contact, why slugging can scar plaster and vinyl, and how to dose safely using circulation to your advantage.We also tackle the big one: “chlorine lock.” Chlorine isn't trapped; it's either free, combined, or used. The real driver of effectiveness is the free chlorine to cyanuric acid ratio. Using the 7.5% guideline, you can set targets that outpace algae, save on unnecessary algaecides and shock, and keep water clearer with fewer surprises. We talk testing too—why relying on old OTO “flash” habits keeps you in the dark, and how FAS-DPD reveals what's actually happening so you can correct fast.Finally, we clear up confusion around safe swim timing. That 24-hour wait after adding chlorine? Not a rule of nature. It's about how much you dosed, how well the water circulates, and where your CYA sits. Light dosing with proper CYA can be safe much sooner, while heavy shock may warrant patience. With muriatic acid, circulation and pH verification matter more than the smell—often making a 30–60 minute window reasonable for re-entry in large, balanced pools. Walk away with practical steps that protect surfaces, stabilize pH, and restore confidence in every service visit.• acid column method risks surface damage and does not target alkalinity• liquid chlorine raises pH briefly, then neutralizes as it oxidizes• cal hypo truly raises pH, liquid chlorine trends near neutral net effect• chlorine states: free, combined, and used chloride• no such thing as chlorine lock, just high CYA slowing chlorine• maintain free chlorine at ~7.5% of CYA for effectiveness• accurate testing beats OTO flash tests for FC and CC• safe swim timing depends on FC-to-CYA and circulation, not 24-hour rules•Send a textSupport the Pool Guy Podcast Show Sponsors! HASA https://bit.ly/HASAThe Bottom Feeder. Save $100 with Code: DVB100https://store.thebottomfeeder.com/Try Skimmer FREE for 30 days:https://getskimmer.com/poolguy Get UPA Liability Insurance $64 a month! https://forms.gle/F9YoTWNQ8WnvT4QBAPool Guy Coaching: https://bit.ly/40wFE6y

El Imperio Japonés fue el principal exportador del hambre en el Pacífico, incluyendo a su propia población. En China, no solo la guerra, sino la especulación por parte de ricos comerciantes del Kuomintang o del Ejército Japonés provocaron la falta catastrófica de alimentos básicos. En Vietnam, franceses y japoneses exprimían a sus habitantes hasta la inanición. En Manila, las personas morían de hambre mientas mendigaban un poco de pan. La exhausta población de Asia-Pacífico comprobó que ni los antiguos sistemas, ni el colonialismo, ni las promesas japonesas cumplieron nunca con sus necesidades, y estas hambrunas que las élites miraban desde la distancia hicieron que escogiesen su propio camino hacia la independencia. Te lo cuenta Esaú Rodríguez, con Dani CarAn en las dramatizaciones. 🎵 El tema musical "Hambre y Guerra" está compuesto por Dani CarAn. Esta obra está protegida bajo la licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. ¿Quieres anunciarte en este podcast? Hazlo con advoices.com/podcast/ivoox/391278 Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

In order to be generous, we have to learn how to generate generosity. In today's message, Pastor Jeff Ables teaches very practical wisdom from scripture on how to properly manage our finances so that we can afford to live in "Generous City".Prayed to accept Jesus? Congratulations! Text SAVED to 337-222-3210 or click here https://bit.ly/CC_saved New to Crossroads Church? Learn all about us at https://mycrossroads.org 

Pourquoi les géants de la tech basculent de C/C++ vers Rust, et quelles conséquences concrètes en matière de sécurité, de performance et de maintenance ? Avec Sylvestre Ledru (Mozilla), on revient sur la révolution de la sûreté mémoire, les exemples très concrets dans les navigateurs et les composants Windows, et les coulisses d'incidents de sécurité qui ont marqué l'industrie. Vous découvrirez aussi pourquoi Rust séduit de plus en plus de développeurs web venus de JavaScript ou Python, et comment cette évolution s'inscrit dans l'histoire qui va de l'assembleur au C, puis à Rust.Sources Vidéo recommandée (YouTube)En plateau Michaël de Marliave — animateur Matthieu Lambda — chroniqueur Sylvestre Ledru — invité (Mozilla)➤ Pour découvrir Mammouth IA : https://mammouth.ai/➤ Pour le Merch Micode et Underscore_ : https://traphic.fr/collections/micode⚠️ Précommandes avant le 15 Janvier ! Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In which we discuss the new card errata, Alliance restricted list, store championship planning, and more! Enjoy and thanks for listening! Warcast Swag including the "Day Without Reaping" shirts: https://the-warcast-reforged.myspreadshop.com/all  You may contact us through our discord server (https://discord.com/invite/ffDEF3Tys9) or email (thewarcast2023@gmail.com). Subscribe to us via Apple Podcasts or whichever podcast platform you use. If you have any comments or thoughts let us know. Thanks for listening. Logo art by Ezri Lopes, @z.x.zarya on Instagram.  Podcast Theme Music by Kevin MacLeod, CC license 3.0 (http://goo.gl/BlcHZR)

La independencia militar de EE.UU. después de la 2GM, pasaba por que las potencias intermedias creasen un paraguas nuclear creíble con sus propios recursos. Mientras que el Reino Unido fracasó en ese cometido, Francia logró, a partir de muchos sacrificios, crear la triada nuclear a pesar las de tensiones entre sus socios y sangrantes guerras de descolonización en el Sudeste Asiático y África. El paraguas nuclear independiente para contrarrestar a la URSS, se convirtió en una carta más para mantener su imperio a partir de la Crisis de Suez, y el objetivo empezó a derivar en otra vertiente más peligrosa. Actualmente, con el desmantelamiento de los silos de misiles, la fuerza de submarinos nucleares sería la verdadera fuerza estratégica, mientras que la aviación se encargaría de los objetivos tácticos. Te lo cuenta Antonio G. y Dani C. Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 http://casusbelli.top ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es propia, o bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Queréis contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Celebrate 20 YEARS OF PODRUNNER with an epic run! Donations, Merchandise, Newsletter, more: https://www.podrunner.com Steve Boyett - Groovelectric: Downloadable Soul https://www.groovelectric.com PLAYLIST 01. Technology - Vata 02. Gians - XaX 03. Dazeman - Hyades 04. Chronos - Space Cake (Vermel Live Version) 05. Nicolas Barnes - Mimic Loop 06. Dat Schaub - Subtle Hint 07. Silviu Trik - Cand Eram Copchila Eu- 08. Funky M - Abyss 09. Clubstone x Sunyx - And a Curse (Extended Mix) 10. Tekno, DJ TH - Ready for Take Off (Extended Mix) 11. Liquid Soul - Lost Gravity (Atacama Remix)* 12. Technology - Kapha 13. Dmitri Reign - Agiou Orous (Sunset Remix) 14. Vlind - The K of My Life (HP Source Remix) 15. Jonathan E. Blake - Dance on a Tin Eoof 16. Lukas Midub - Big One *Licensed under CC BY-NC 4.0 == Please support these artists == Podrunner is a registered trademark of Podrunner LLC. Music copyright © or CC the respective artists. All other material ©2006, 2026 by Podrunner LLC. For personal use only. Any unauthorized reproduction, editing, exhibition, sale, rental, exchange, public performance, or broadcast of this audio is prohibited. No part of Podrunner or its website and associated content may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems.

Crystal is back with bible quotes, an opening statement, a closing statement, and a jury duty summons for her listeners, especially those 0.2% who do not have Morgellons disease. "Please prove I'm delusional and this is all just coincidences and not a multi-generational coverup related to the Pentagon, Trump's personal pal Geoff Pedepstein and the villain I used to make fun of people for calling a villain, Gill Baites . . ." -CCAnd Crystal swore for six seasons that she was not "that person." It turns out "that person" was not entirely wrong on this matter, and that person is now feeding her the 50th serving of her own previously recorded words. Touche sans T and E. Because reality as it turns out, is an irreal coincidence cascade that, along with the accidental, question-begging facts, converges into a strong circumstantial case for coverup and conspiracy. "You be the judge." - CC

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

There's a new Good Omens series kicking off next week, featuring some of the best AC bickering I've ever read. Music: Mainstream Music 2025 Vol. 8, Produced by Sascha Ende (⁠⁠⁠⁠CC-BY 4.0⁠⁠⁠⁠)Email notification: https://freesound.org/people/OptronTeamFilms/sounds/521094/ (CC-0)

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What would you give up to stand for truth? For Kayleigh Bush, the answer was a crown. When Kayleigh Bush was crowned Miss North Florida in August 2024, she had no idea she'd soon face a choice that would make national headlines. Just four weeks after her crowning, she was presented with a revised Miss America contract that redefined "female" to include biological males who have undergone surgical procedures — directly contradicting her Christian faith and Florida law. She refused to sign. And she refused to stay silent. In this episode of Refining Rhetoric, Robert Bortins sits down with Classical Conversations graduate and viral sensation Kayleigh Bush to talk about what really happened, what it cost her, and why she has zero regrets. From a surprise TMZ interview on a Washington D.C. sidewalk to tens of millions of views, Kayleigh shares how her CC education, her faith, and a community rooted in truth gave her the courage to trade a temporal crown for an eternal one. Whether you're a parent raising kids in a world that's redefining womanhood, a student wondering if standing on convictions is worth it, or simply someone looking for a story of genuine courage — this episode is for you. Resources: She Leads America: sheleadsamerica.com Liberty Counsel (Kayleigh's legal representation): lc.org This episode of Refining Rhetoric is sponsored by Worldview Academy: Students call Worldview Academy the best week of their lives. Through week-long summer leadership camps for teens, Worldview Academy trains Christians to think and live in accord with a biblical worldview so they can better serve Christ and engage the culture around them. Worldview Academy reinforces what students are learning at home and at church and trains this generation to apply that knowledge to the challenging cultural issues they're facing.  To find a camp near you or learn more about Worldview's weekend conferences and other resources for families, visit www.worldview.org

Send a textIn this episode of It's Good But Not Perfect, CC and Skills tackle the growing concern of children's privacy in gaming and on social media platforms. With more kids connecting online than ever before, are they truly safe? The couple discuss the risks of predators, oversharing, and the false sense of security many parents have when it comes to digital spaces.

In which we discuss the 2026 domestic Vault Tour schedule, store championships and online play, and give GG a hard time about releasing information (which they did about 48 hours before we posted this, but 24 hours after we recorded it). Enjoy and thanks for listening! Warcast Swag including the "Day Without Reaping" shirts: https://the-warcast-reforged.myspreadshop.com/all  You may contact us through our discord server (https://discord.com/invite/ffDEF3Tys9) or email (thewarcast2023@gmail.com). Subscribe to us via Apple Podcasts or whichever podcast platform you use. If you have any comments or thoughts let us know. Thanks for listening. Logo art by Ezri Lopes, @z.x.zarya on Instagram.  Podcast Theme Music by Kevin MacLeod, CC license 3.0 (http://goo.gl/BlcHZR)

In this episode, Eric Brownson and Kathy Lindstrom of the Governing Documents Review Committee, and our friends at AI, are back to talk about an important ballot measure included in the upcoming Board of Directors election ballot. Tune in to learn about the proposed amendment to our CC&Rs and Bylaws. Links: Episode Transcript Governing Documents Updates Do you have an idea for a podcast episode? Contact Bob Firring at podcast@scshca.com. This is an audio-only episode.

What does it really mean to pass on virtue to your children—and how do you do it in the midst of everyday homeschool life? Join host Amy Jones and veteran homeschooler Chelly Barnard for a rich conversation about cultivating moral goodness in your home. Discover how Classical Conversations' Common Topics can help you define and teach virtue, why reading aloud to your kids well into high school matters more than you think, and practical ways to weave biblical truth into daily conversations without being "preachy." Chelly shares wisdom from 25 years of homeschooling experience, emphasizing that virtue isn't about rigid rules—it's about equipping children to flourish according to God's design. Whether you're wrestling with how to train your children's hearts or simply need encouragement that God fills in your deficits as a parent, this episode offers both inspiration and actionable insights for the everyday CC mom. This episode of Everyday Educator is sponsored by: Summit Ministries Do you want your child to have conversations that challenge, encouragement that endure, and friends and faith for life? Summit's Student Conferences equip young Christians with the hope, clarity, and confidence they need to follow Jesus boldly in today's world. It's not just about getting apologetics answers. Students learn how to live winsomely and bravely in today's world.  Visit summit.org/cc before March 31, 2026, and lock in the early bird rate. Save an additional $250 when you use the code CC26. Want your child to have conversations that challenge, encouragement that endures, and friends and faith for life? Grab their spot now at summit.org/cc "The Habits of a Classical Education" Classical Conversations is releasing "The Habits of a Classical Education"—the long-awaited successor to "The Core." This resource helps you naturally integrate the Five Core Habits into daily life, enabling classical, Christian education where relationships and lifelong learning flourish. Pre-order your signed copy of "The Habits of a Classical Education: Practicing the Art of Grammar" from February 17th through March 14th, 2026, at https://classicalconversationsbooks.com/ – your personally signed book from Leigh will ship in May! https://classicalconversations.com/whatsnew/

Hello, Protagonists!Welcome to another episode of the Creative, Inspired, ALIVE podcast—where we go behind the scenes with the storytellers shaping our culture.Our next guests, Emily Wibberley and Austin Siegmund-Broka, are a married Romance writing team! They met and fell in love in high school. Austin went on to graduate from Harvard, while Emily graduated from Princeton. Together, they are the authors of multiple novels, including The Roughest Draft and Reese's YA Bookclub Pick Heiress Takes All. They are also two-thirds of USA Today bestselling author E.B. Asher. So much teamwork! Seeing Other People is their latest novel.Today, we talk about:* writing in partnership,* trends in the romance genre,* incorporating speculative elements,* and the writing scene in LA.xo,Joanna & Evelyn

Weldie and Andrew babble about the men's team's disappointing weekend against CC, the women's team's offensive outburst versus Bemidji, whiskey, trees, timeout effects, previewing series against current conference leaders, the Olympics, the stretch drive and the return of playoff hockey. Give it a listen! TIMESTAMPS 0:00 Intro, whiskey tasting 7:30 Recap of men's series vs CC 42:00 Preview of men's series at North Dakota 1:09:30 Recap of women's series vs Bemidji State 1:27:30 Preview of women's series at Wisconsin 1:50:00 Listener questions

CC has pushed her father out of her life with her childish behavior. Call 1-800-DR-LAURA / 1-800-375-2872 or make an appointment at DrLaura.comFollow me on social media:Facebook.com/DrLauraInstagram.com/DrLauraProgramYouTube.com/DrLauraJoin My Family!!Receive my Weekly Newsletter + 20% off my Marriage 101 course & 25% off Merch! Sign up now, it's FREE!Each week you'll get new articles, featured emails from listeners, special event invitations, early access to my Dr. Laura Designs Store benefiting Children of Fallen Patriots, and MORE! Sign up at DrLaura.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

La más preciada y famosa condecoración española no podía quedarse sin un hueco en Casus Belli. Creada en 1811 en las Cortes de Cádiz, tiene como objetivo premiar el valor heroico en acciones excepcionales. Pero existe mucho desconocimiento sobre la condecoración, y son muy desconocidas sus categorías y los requisitos para su obtención. Por eso hemos invitado al especialista Jesús Campelo Gaínza que, acompañado por Esaú R., nos contará todo lo que tendrías que conocer sobre sobre la Cruz Laureada de San Fernando y sus afines. Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 http://casusbelli.top ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es propia, o bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Queréis contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Hello, friends, Ryan here. We have another release from our Patreon Exclusive Minisode Vault from our recording #190 with Caleb, Mike Seibert, and myself, originally released 11/27/2022! Subjects include, and are limited to:THE INFAMOUS FRIEDMAN / SORENSON PANELAPDC BOOTY BOX BINGOWHAT ARE NAP-KINS?STAR WARS: ANDOR - IT'S A SPY DRAMA!STAY TUNED FOR APDC NIMRODERY All this, and nothing else, on your Vault Minisode release! I come off as really surly when I crystalized all these segments together, which took place across the entirety of the 3+ hour recording. Maybe I really am just a contrarian curmudgeon. A CC. No. It's not me. It's everyone else who is wrong.Pistols at Dawn!--Ryan

Where local church ministry is funded through our tithes, global ministry is funded through our generosity. In today's message, Pastor Jeff Ables discusses how kingdom building generosity makes life meaningful.Prayed to accept Jesus? Congratulations! Text SAVED to 337-222-3210 or click here https://bit.ly/CC_saved New to Crossroads Church? Learn all about us at https://mycrossroads.org

En el otoño de 1952, la Operación Lorraine marcó uno de los mayores intentos franceses de recuperar la iniciativa en la Guerra de Indochina. Concebida como una ofensiva de gran envergadura contra las líneas logísticas del Viet Minh, buscaba golpear sus depósitos y obligar a Vo Nguyen Giap a presentar batalla en condiciones favorables para el Cuerpo Expedicionario Francés. La operación combinó columnas móviles, blindados y apoyo aerotransportado en una maniobra ambiciosa, pero pronto evidenció los límites estructurales del esfuerzo colonial francés. En este episodio analizamos Lorraine como anticipo estratégico y psicológico de lo que, dos años después, desembocaría en el desastre de Dien Bien Phu. Con María V. Antonio G. y Dani C. 🎵 The Tiger and the Elephant es un tema musical compuestos por Dani CarAn. Esta obra está protegida bajo la licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 http://casusbelli.top ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es propia, o bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Queréis contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

We're recording this from Jackson Hole after three days of wheeling and dealing—and yes, canceling meetings for powder. This week we're going deep on OpenClaw. The meetup had 1,500 people show up (Kevin Rose, Marissa Mayer, Ashton Kutcher were some notable guests). And now we're all spending thousands of dollars a month on AI agents we've named after Friends characters while debating whether "developer" is even a job title anymore.We talk about:•⁠ ⁠Why founders are working 24/7 and possibly burning out•⁠ ⁠The decentralized AI future (and why it's not great for OpenAI)•⁠ ⁠Dark software factories where only agents write code•⁠ ⁠Whether everyone's jobs are about to disappear (spoiler: we disagree)•⁠ ⁠The SaaS-pocalypse coming for legacy software•⁠ ⁠Personal AI sovereignty and why Apple's just sitting back laughingAlso: Google's CC assistant is… fine? And we have strong opinions about Heated Rivalry.Chapters:0:00 - Intro: Skiing in Jackson Hole2:30 - Conference Takeaways: Founders Are Working Relentlessly 7:15 - AI Burnout & the 24/7 Work Cycle12:40 - Naming Your AI Agents (Friends Edition)15:20 - How Much Are You Spending on Bots?18:45 - Google CC Assistant Review22:10 - OpenClaw Meetup: 1500 People Show Up28:30 - What Even Is a Developer Anymore?35:50 - OpenAI vs Decentralized AI: The Big Debate42:15 - Personal AI & Data Sovereignty47:20 - Dark Software Factories & Agentic Engineering52:10 - Are All the Jobs Going Away?55:40 - The SaaS Apocalypse58:20 - Pop Culture: Heated Rivalry, Nancy Guthrie Case, StrangersWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTube: https://youtu.be/KUA7ue5vB1EConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Laurens, Thomas en Stefan gaan verder. Plaats van handeling: Bajes. Voordat het aftellen naar het aftellen voor de Omloop start, toch ff een korte update. Over de woestijn, Valencia, en natuurlijk over Visma Lease a Bike. Veel in het nieuws. Wat is er aan de hand? Of beter: is er wel wat aan de hand eigenlijk?En hoe zat het ook alweer met Thomas en zijn avonturen in het ghetto van Brussel midi? Je hoort het allemaal, in weer een nieuwe aflevering van de Live Slow Ride Fast podcast.

Imagine that you're so angry about a business deal gone wrong that you grab a chisel, find a slab of stone, and spend hours carving your complaint. That's exactly what a Mesopotamian merchant did in 1750 and made sales history.  The merchant was furious because he'd been promised high-grade copper, but the final product was subpar. That angry customer complaint is now sitting in the British Museum, 4,000 years later. The tablet reads: "What do you take me for? That you treat someone like me with such contempt?" If you think dealing with issues in the sales process is a modern problem, you're off by about four millennia. Sales Hustle Is Ancient We talk about sales like it's a modern corporate invention. CRMs and automated sequences are new, but the art of the deal and dealing with angry customers? That's been around since humans started trading. The copper merchant in 1750 BCE wasn't just selling copper. He was managing client expectations, handling logistics, and clearly failing at quality control. The core practices of B2B sales—promise, delivery, and relationship management—haven't changed. 1600s: Sales Becomes a Profession Fast forward to 1600, and you see the founding of the East India Trading Companies. They were some of the first corporations that allowed people to buy shares in a business. One of the East India Trading Companies was owned by "the 17 gentlemen"—a group of wealthy investors who funded global trade expeditions. They kept spices like nutmeg, pepper, and cinnamon flowing across continents. The spices were so valuable that they were practically currency. This was B2B sales at scale. Shareholders' expected returns. Merchants negotiated deals across continents. The stakes were massive, and so were the profits. This era established something critical to modern sellers: the separation between ownership and operation. The 17 gentlemen didn't sail the ships or negotiate every spice deal. They hired people to do it. Sales stopped being a personal trade and became a repeatable profession with accountability structures built in. 1851: Visibility and Competition Arrive The Great Exhibition in London in 1851 was the world's first massive B2B trade show in sales history. Thousands of exhibitors. Hundreds of thousands of attendees. A giant glass building called the Crystal Palace. Nearly 200 years later, sales pros still pack convention centers, set up booths, and fight to stand out in a sea of competitors. This is where B2B sales became visible. You weren't just competing against one or two local merchants anymore. You were standing next to dozens of alternatives, all promising similar value. Differentiation became mandatory. Following up meant writing a letter and waiting weeks for a response. Today, if you're not following up within 24 hours, you're losing to competitors who are. 1957: Reach and Leverage Scale Up The first inside sales team was formed at a company called Dial America in 1957. Before that, if you wanted to sell, you hit the road. Door-to-door, city-to-city, face-to-face. Every single deal required physical presence. The telephone changed everything. Suddenly, salespeople could work virtually, reach more prospects, and close deals without leaving the office. One seller could now have 20 conversations in a day instead of three. The math of sales productivity fundamentally shifted. Fast forward to today, and inside sales is the dominant model. The tools have evolved—Zoom calls, screen shares, digital demos—but the core principle remains: you don't need to be in the same room to build trust and close deals. From Stone Tablets to Instant Messages: Why Speed Matters Now Think about the effort that the merchant put into carving his complaint into stone. He didn't fire off a quick email. He didn't leave a one-star Google review. He created a permanent record that would outlive both him and the seller by thousands of years. Today, complaints are easy. Maybe too easy. A customer can blast you on LinkedIn, tank your review scores, or CC your entire executive team on an email thread—all before lunch.  Every major shift in B2B sales increased speed. Trade shows multiplied visibility. Telephones let sellers reach 20 prospects a day instead of three. Email collapsed follow-up from weeks to hours. Social media made reputation instant and permanent. In 1750 BCE, you had time to respond. Now, you have hours—maybe minutes. Each acceleration rewarded the sellers who could execute fast without sacrificing quality. The ones who couldn't keep up disappeared. Why This Timeline Matters More Than You Think We're in another massive shift in sales history. AI, automation, predictive analytics—the pace is relentless. It's easy to think everything has changed. Zoom out 4,000 years, and the pattern emerges: speed accelerates, but the core practices stay the same. So the next time you get a harsh email from a customer, remember that stone tablet. You don't have to worry about your failure being displayed in a museum 4,000 years from now. But you do have to worry about your reputation spreading across the internet in hours. The tools change, the pace accelerates, but the rule is simple: earn trust, deliver value, and handle problems before they handle you. You just saw how history teaches that speed and execution have always mattered — and now AI is the biggest shift we've seen yet. If you want to turn the disruption into an advantage, download The FREE AI Edge Book Club Guide.

Imagine that you’re so angry about a business deal gone wrong that you grab a chisel, find a slab of stone, and spend hours carving your complaint. That’s exactly what a Mesopotamian merchant did in 1750 and made sales history.  The merchant was furious because he’d been promised high-grade copper, but the final product was subpar. That angry customer complaint is now sitting in the British Museum, 4,000 years later. The tablet reads: “What do you take me for? That you treat someone like me with such contempt?” If you think dealing with issues in the sales process is a modern problem, you’re off by about four millennia. Sales Hustle Is Ancient We talk about sales like it’s a modern corporate invention. CRMs and automated sequences are new, but the art of the deal and dealing with angry customers? That's been around since humans started trading. The copper merchant in 1750 BCE wasn’t just selling copper. He was managing client expectations, handling logistics, and clearly failing at quality control. The core practices of B2B sales—promise, delivery, and relationship management—haven’t changed. 1600s: Sales Becomes a Profession Fast forward to 1600, and you see the founding of the East India Trading Companies. They were some of the first corporations that allowed people to buy shares in a business. One of the East India Trading Companies was owned by “the 17 gentlemen”—a group of wealthy investors who funded global trade expeditions. They kept spices like nutmeg, pepper, and cinnamon flowing across continents. The spices were so valuable that they were practically currency. This was B2B sales at scale. Shareholders’ expected returns. Merchants negotiated deals across continents. The stakes were massive, and so were the profits. This era established something critical to modern sellers: the separation between ownership and operation. The 17 gentlemen didn’t sail the ships or negotiate every spice deal. They hired people to do it. Sales stopped being a personal trade and became a repeatable profession with accountability structures built in. 1851: Visibility and Competition Arrive The Great Exhibition in London in 1851 was the world’s first massive B2B trade show in sales history. Thousands of exhibitors. Hundreds of thousands of attendees. A giant glass building called the Crystal Palace. Nearly 200 years later, sales pros still pack convention centers, set up booths, and fight to stand out in a sea of competitors. This is where B2B sales became visible. You weren’t just competing against one or two local merchants anymore. You were standing next to dozens of alternatives, all promising similar value. Differentiation became mandatory. Following up meant writing a letter and waiting weeks for a response. Today, if you’re not following up within 24 hours, you’re losing to competitors who are. 1957: Reach and Leverage Scale Up The first inside sales team was formed at a company called Dial America in 1957. Before that, if you wanted to sell, you hit the road. Door-to-door, city-to-city, face-to-face. Every single deal required physical presence. The telephone changed everything. Suddenly, salespeople could work virtually, reach more prospects, and close deals without leaving the office. One seller could now have 20 conversations in a day instead of three. The math of sales productivity fundamentally shifted. Fast forward to today, and inside sales is the dominant model. The tools have evolved—Zoom calls, screen shares, digital demos—but the core principle remains: you don’t need to be in the same room to build trust and close deals. From Stone Tablets to Instant Messages: Why Speed Matters Now Think about the effort that the merchant put into carving his complaint into stone. He didn’t fire off a quick email. He didn’t leave a one-star Google review. He created a permanent record that would outlive both him and the seller by thousands of years. Today, complaints are easy. Maybe too easy. A customer can blast you on LinkedIn, tank your review scores, or CC your entire executive team on an email thread—all before lunch.  Every major shift in B2B sales increased speed. Trade shows multiplied visibility. Telephones let sellers reach 20 prospects a day instead of three. Email collapsed follow-up from weeks to hours. Social media made reputation instant and permanent. In 1750 BCE, you had time to respond. Now, you have hours—maybe minutes. Each acceleration rewarded the sellers who could execute fast without sacrificing quality. The ones who couldn’t keep up disappeared. Why This Timeline Matters More Than You Think We're in another massive shift in sales history. AI, automation, predictive analytics—the pace is relentless. It's easy to think everything has changed. Zoom out 4,000 years, and the pattern emerges: speed accelerates, but the core practices stay the same. So the next time you get a harsh email from a customer, remember that stone tablet. You don't have to worry about your failure being displayed in a museum 4,000 years from now. But you do have to worry about your reputation spreading across the internet in hours. The tools change, the pace accelerates, but the rule is simple: earn trust, deliver value, and handle problems before they handle you. You just saw how history teaches that speed and execution have always mattered — and now AI is the biggest shift we've seen yet. If you want to turn the disruption into an advantage, download The FREE AI Edge Book Club Guide. 

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! En este segundo episodio nos adentramos en la madurez operativa del Macchi M.C.202 Folgore, cuando el avión ya no es una promesa, sino una herramienta puesta al límite. Analizamos cómo se volaba realmente, el choque entre pilotos veteranos y nuevas generaciones, su despliegue en los frentes más exigentes y las duras evaluaciones realizadas por aliados y enemigos. También veremos hasta qué punto su armamento condicionó la táctica y por qué, pese a sus carencias, el Folgore siguió combatiendo cuando el cielo ya pertenecía a otros. Porque entender al M.C.202 es entender cómo aprendió Italia a pelear en el aire. Te lo cuenta Dani CarAn. 🆕 ENLACE A TODOS LOS CB 💥 FANS 💥 https://t.me/+1uHtwikQTZ85ZWRk 🎵 Varios de los temas musicales aparecidos en este episodio pertenecen a la Suite "Macchi Saetta", compuestos por Dani CarAn. Esta obra está protegida bajo la licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books zeppelinbooks.com es un sello editorial de la 🏭 Factoría Casus Belli. Estamos en: 👉 https://podcastcasusbelli.com 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👨💻Nuestro chat del canal es https://t.me/casusbellipod ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. Incluye cortes de audio de RTVE Play 📧¿Queréis contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. ¿Quieres anunciarte en este podcast? Hazlo con advoices.com/podcast/ivoox/391278 CB FANS 💥 La Leyenda de Macchi Ep.1 - MC.200 Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

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GENEROSIDADE: PIX 31.321.234/0001-64 (CNPJ) Banco Bradesco Ag 1997 C/C 23992-5a Igreja Por Amor CNPJ: 31.321.234/0001-64 - Banco Itaú Ag 0562 C/C 16233-9 Igreja Por Amor CNPJ: 31.321.234/0001-64 PAY PAL (Aceita também transações internacionais) https://www.paypal.com/cgi-bin/webscr... SÉRIE "UM RASCUNHO DO REINO DE DEUS": https://bit.ly/3mJrnCt ACESSE NOSSO INSTAGRAM: https://bit.ly/42bmiTC ACESSE NOSSA LOJA: https://bit.ly/3Fg9e5N INSCREVA-SE EM NOSSO CANAL: http://bit.ly/2XjDllG%E2%80%8B NOSSO PODCAST: Spotify - https://open.spotify.com/show/6ysyRrS... Deezer - https://deezer.page.link/8fwdrcpiLFMW... Apple podcast - https://podcasts.apple.com/br/podcast... #victorazevedo​ #igrejaporamor

El 29 de noviembre de 1987, un ataque terrorista a un avión sudcoreano presuntamente ordenado por Kim Jong-il causa una nueva escalada entre las dos coreas. Los juegos Olímpicos de Seoul 88 estaban en el ojo del huracán por la posibilidad de que fuesen los últimos a causa del boicot del bloque soviético, y las manifestaciones contra la dictadura en toda Corea del Sur. Sin embargo, la catástrofe desencadenó una serie de acontecimientos que llevaron a hitos impensables en la Guerra Fría tardía. Te cuenta esta historia Fernando M. Carreño y Dani C. Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 http://casusbelli.top ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎵 La música incluida en el programa es Ready for the war de Marc Corominas Pujadó bajo licencia CC. https://creativecommons.org/licenses/by-nd/3.0/ El resto de música es propia, o bajo licencia privada de Epidemic Music, Jamendo Music o SGAE SGAE RRDD/4/1074/1012 de Ivoox. 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Queréis contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. CBP518 Homma Masaharu - Grandes Generales del S.XX Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Fine, light, textured, yet strong. Donations, Merchandise, Newsletter, more: https://www.podrunner.com Groovelectric: Downloadable Soul https://www.groovelectric.com PLAYLIST 01. Diana May - Distant (Tim Kollberg Remix) 02. Roald Velden - Letting Go 03. Roald Velden - In My Dreams You're Always There 04. Martina Budde X Da Clubbmaster - Everybody Wants to Rule (Extended Mix) 05. Nipika & Haris V. - Staying Strong (Instrumental Mix) 06. Shyro & Anix Jay - Divine Waves (Devin Jay Remix) 07. Rockka & Kryptone (SL) - Resurgent (Morning Mix) 08. Coss Bocanegra - Somos Como Una Flor 09. Gad Ben David - Olympus 10. Deep Sure, Denis Vostru - Hummingbird 11. CMC & Silenta - Gonna Be Alright (Intrumental) 12. Cosmin Fogoros & Alex Modoi - Chasing Cars (Extended Mix) == Please support these artists == Podrunner is a registered trademark of Podrunner LLC. Music copyright © or CC the respective artists. All other material ©2006, 2026 by Podrunner LLC. For personal use only. Any unauthorized reproduction, editing, exhibition, sale, rental, exchange, public performance, or broadcast of this audio is prohibited. No part of Podrunner or its website and associated content may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems.