Podcasts about Martine

Do you ever feel like you're carrying the weight of the world on your shoulders?   In this episode, I take you behind the scenes of my recent women's retreat. You'll hear inspiring stories of breakthroughs and realizations that came about when women were given the space to be seen and supported.   Join us as we explore: The importance of creating intentional spaces for women to share their struggles and victories. How stepping away from everyday noise can lead to clarity and self-discovery. The power of meaningful connections among mompreneurs and how they can refill our cups. Real stories from retreat participants who experienced deep shifts in their mindset and self-worth. Practical tips on how to create your own space for reflection and connection, even if you can't attend a retreat.   Whether you're feeling overwhelmed, lost, or simply looking for deeper connections, this episode is full of inspiration and practical advice to help you reclaim your joy and purpose.  

While being raised in the Dutch bible belt contemporary artist Martine Johanna was in a fight to break free from the frame built around her. Using art as an escape and an unwillingness to give in Martine forged a path all her own.Bonus Episodes on Patreon: https://patreon.com/myartisrealCollect our limited edition prints: www.myartisreal.com Martine Johanna's website: https://martinejohanna.com/Music Credit: Theme music by A Kid Named Red, additional sounds by CUE Shop

Ready to turn your personal passion into a thriving business? Join me as I sit down with Shelly Garg, founder of Wave Kids, a revolutionary kids' lifestyle beverage brand.   We dive into her mission to disrupt the kids' beverage market with healthier, fun options that kids actually want to drink. Shelly shares her unique insights as both a mom and an FDA attorney, offering valuable advice for aspiring mompreneurs.   Tune in to discover how you can empower your children to make smarter choices, all while enjoying their favorite beverages. Plus, get insider tips on building a business that makes a difference!   Check out www.wave-kids.com and use Mompreneur10 for 10% off your order!   Instagram: https://www.instagram.com/hellowavekids/  Facebook: Wave Kids  

Martine skal kjøpe den første bursdagsgaven til kjæresten, og sliter Episoden kan inneholde målrettet reklame, basert på din IP-adresse, enhet og posisjon. Se smartpod.no/personvern for informasjon og dine valg om deling av data.

Martine har endelig lært seg å tæppe, og det er ikke alltid like enkelt viser det seg. Episoden kan inneholde målrettet reklame, basert på din IP-adresse, enhet og posisjon. Se smartpod.no/personvern for informasjon og dine valg om deling av data.

Aujourd'hui, Didier Giraud, éleveur de bovins, Fatima Aït Bounoua, prof de français, et Antoine Diers, consultant, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.

Petter har fått seg nytt leketøy. Martine har begynt å snorke etter at hun fikk morgenjobb. Ken og Stian har vært på do samtidig. Episoden kan inneholde målrettet reklame, basert på din IP-adresse, enhet og posisjon. Se smartpod.no/personvern for informasjon og dine valg om deling av data.

Ever wonder why you keep pushing through exhaustion instead of taking a break?   In this Big B-Word episode, we are talking about the importance of self-care and why it's not just a luxury but essential for sustainable success.   Learn how to listen to your body's signals and implement small, consistent changes that can lead to big shifts in your productivity.   Discover how simple actions, such as movement, hydration, and rest, can sharpen your focus and boost your energy.​   It's time to take care of your body and protect your most valuable asset: YOU!  

Uniquement sur Angoisse FM, assistez en direct à un match de délibérations à l’Assemblée Nationale.Vivez les tribunes de l’Assemblée comme si vous y étiez et partagez la ferveur de vos élus !~ Vainqueur à l’aller, le parti rose fuchsia s’est de nouveau imposé face à l’Extrême Quinconce hier au retour au palais Bourbon (2-1) grâce à des insultes de Nadine Garnier et de Patrice. Les superécolos valident leur ticket pour les huitièmes de finale, non sans mal, après avoir été menés dans le premier quart d’heure.  Musiques utilisées La Marseillaise, David GourvatLa Marseillaise Remix, DJ SASH!Le chant des partisans, Valentin ArgentGénérique des Looney Tunes, Warner Bros Pictures Inc.J’ai demandé à la lune, IndochineLes 12 coups de midi (Générique de fin), Jean-Michel Bernard Bruitages Ont également été utilisés des bruitages en Creative Commons 0 provenant de freesound.org. Angoisse FM, merdia numéro 1 sur l’actualité politique. Parce que la politique est un sport, et nos élus sont des champions.Créé et réalisé par DecibHell pour la TeamJavras Distribution : Mathou – Célia ChauvetCécile et Mme Marmotte – Lou HammelClément – Clément BellotVoix des jingles et Hugo – Hugo GervasoniPrésident de l’Assemblée et Mr Tirauflan – Florent DevrieseMr Laglande – cowboy_etoileMme Feignasse – Louise LeroyMme Fourien et Mr Grosseflemme – Julie FiguerasMr Branleur – WhazaMr Sanmoimerci – DecibHellAncien premier ministre – BenVoix « Questions pour un champion » – Giu Merci à mon équipe de comédiens dévoués à la cause, décidés à faire entendre leurs valeurs en chantant plus fort (faux) que les autres !Merci à Kokiria et Kapoué pour la relecture, et merci à la Team Javras de continuer de produire cette aberration sonore. Un merci coloré à Akaliaz pour la magnifique couverture qu’elle a dessinée pour la série.Et merci à vous de voter avec vos oreilles !(Toute ressemblance avec des personnes réelles serait franchement pas de bol.) Ils sont 80 et ils ont soutenu financièrement cet épisode :Sur Patreon : Whaza, PLACE Samuel, le hallebardier, Sabrina P., Amandine Ta, Mélanie, Vincent BOURIOT, olivier kostic, Alice Demay, GuiZe, White Mokona, Martine, Cadavre, Fred Malos, Loïck CHOVET, 1412, Balibari, Quentin Rakwa, L’archiviste, Kesa Khan, Thomasus, Hansi Sheep, Leowhitelighter, Jonas-Skoll, Alexandre Michaud, N. Peltier, EcaterinaNina, Asa Marona, MrFloFlou, Achdeuzos, Elthaniel, Kokiria Blazeul, Tech_in_Terh, Tursiops, Thd, Aceik, Coralie, OneMoreTry, Mélina, Greedette, Youri Charbonnel, Lerrianh, Thomas L. (@ookook), Lyndex, Stellatsu, Yuki, Ningario, Guillaume Kapoué, Guiguitte, arthur milchior, Melectrik, Purple Peignoir, Richoult, Daphmotte, Gaxune, Marie Holmes, Lmorel, Clemensi et SocolinSur Tipeee : A_smiechowski, AIWwAy, Arnaud, JPPJ, Kalwyn, LaurentDoucet, Lucas D., Meringue_à_l’orange, Metentys, Mrbadger, Nicolas S., Occidit, Olivier, Purple Peignoir, Sashiro, Tenebie, Thomasus, Yohann Lorant, ZenigataEn tant que Membre de soutien :Thomasus, Monololo, Nicolas S., Lapinou, Kapoué, Rakwa, Cowboy_etoile                                                                                                             Merci infiniment ! ❤️ Devenir mécène Soutenir nos fictions https://www.javras.fr/Audio/SagasMP3/AngoisseFM/Angoisse%20FM%20-%2002%20-%20On%20n%20entend%20pas%20chanter%20les%20deputes.mp3 Angoisse FM – 02 – On n’entend pas chanter les députés ( 42,01 Mo) Cliquez pour télécharger – 68 téléchargements Deezer Podcast Addict RSS Spotify YouTube

Ecoutez RTL, c'est vous avec Vincent Perrot du 07 mars 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Send a textMartine shares the reality of growing up around gangs, surviving addiction, and the prison violence that forced her to confront the life she was living. Her story is ultimately about accountability, healing, and recovery.SEIU-West – Wellness News – Parenting in the Storm – Support the showAre you getting something from our content? Tap here and buy us a coffee to say thanks and help us keep this train on the tracks! Check out the speakeasy podcast Follow Daniel Unmanageable on Facebook Follow Project Sparky We've got fresh merch and it's amazing! Pick yours up HERE For business or speaking inquiries: Daniel@hardknoxtalks.com Follow Hard Knox TalksFacebook: https://www.facebook.com/hardknoxtalkspodcast/Instagram: https://www.instagram.com/hardknoxtalks/TikTok: https://www.tiktok.com/@hardknoxtalks?lang=en Check us out on YouTube:https://www.youtube.com/@hardknoxtalksWant to watch our episodes uncensored? Become a channel member here!

Ancienne "bordélique", Sandra Fradin a longtemps vécu dans le chaos. Jusqu'au jour où mettre de l'ordre chez elle a tout changé. Aujourd'hui organisatrice de maison, elle aide celles et ceux qui se sentent dépassés par leur intérieur et parfois par leur vie. Elle nous raconte son parcours et partage avec nous ses meilleurs conseils pour ne plus subir son "chez soi". Invitées également : Amélie Boukhobza, psychologue clinicienne, et Martine, experte, comment les méthodes d'organisation de Sandra ont changé sa vie.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Do you ever feel like you're juggling too many roles and not enough time?   Join me as I sit down with Lisa Skeffington, a multi-award-winning psychotherapist and self-esteem expert, to talk about the silent struggles many women face behind their success.   We dive into the concept of the "juggle struggle" and how to break free from the guilt of not doing enough, especially as both a mom and an entrepreneur.   Lisa shares her unique three-step reset to help you align your beliefs and behaviors, empowering you to live authentically without the pressure of "shoulds."   You'll learn how to pause, identify conflicts, and make intentional choices that honor your needs without guilt. If you're ready to ditch the overwhelm and step into your power, this episode is a must-listen!   Check out Lisa's dedicated page for our listeners, where you can find her latest book, a free self-esteem quiz, and the opportunity to book a conversation with her: https://welcome.empoweredmomentum.com    Connect with Lisa Website: https://www.empoweredmomentum.com/  LinkedIn: https://www.linkedin.com/in/lisa-skeffington-23319928/  Facebook: https://www.facebook.com/lisaskeffingtonanxiety  Instagram: https://www.instagram.com/empowered.momentum   

In this episode of the One Rental to Freedom podcast, host Chad Harris sits down with Martine Richardson, founder of The Freedom Inc. Martine shares her journey from being fired from a corporate finance job to building a portfolio of over 100 properties. We dive deep into why high-volume wholesaling and flipping are often just "high-paying jobs" rather than true freedom, and how you can use creative financing and private money to build long-term wealth. Martine also reveals her "secret sauce" for finding off-market deals through community referrals and her 100% funding strategy.Key Takeaways:The transition from active wholesaling to passive rental income.How to build a "VIP" referral network so deals come to you.The 100% funding model: Using other people's money to buy and fix properties.Why "getting all up in a seller's business" is the key to providing the best solutions.Resources Mentioned:Martine's Lender Questionnaire: Text the word LENDER to 804-495-1333Chad's Free Seller Call Script: truewealthinvestors.com/callscript

Yesterday in the High Court, Mr Justice Brian Cregan ordered that Enoch Burkes' mother, Martine and Sister Ammi are to be arrested and committed to prison for contempt of court for a period of two weeks. But what will their detention look like and why is it different to Enoch? Joining Anton to explain why was Former Mountjoy Governor John Lonergan.

Yesterday in the High Court, Mr Justice Brian Cregan ordered that Enoch Burkes' mother, Martine and Sister Ammi are to be arrested and committed to prison for contempt of court for a period of two weeks. But what will their detention look like and why is it different to Enoch? Joining Anton to explain why was Former Mountjoy Governor John Lonergan.

REDIFF - Martine est préoccupée par l'attitude de son petit-fils de 18 ans, qui préfère passer du temps sur son téléphone plutôt que de chercher un emploi d'été. Elle se demande comment encourager sa fille à prendre plus de responsabilités sans se substituer à elle. Chaque soir, en direct, Caroline Dublanche accueille les auditeurs pour 2h30 d'échanges et de confidences. Pour participer, contactez l'émission au 09 69 39 10 11 (prix d'un appel local) ou sur parlonsnous@rtl.fr.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

REDIFF - Paul Delair et Caroline Dublanche abordent le rôle des grands-parents dans l'éducation des petits-enfants. À travers le témoignage de Martine, une auditrice inquiète pour son petit-fils, le podcast explore les limites et les responsabilités des grands-parents face à l'éducation. Chaque soir, en direct, Caroline Dublanche accueille les auditeurs pour 2h30 d'échanges et de confidences. Pour participer, contactez l'émission au 09 69 39 10 11 (prix d'un appel local) ou sur parlonsnous@rtl.fr.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

In this episode of Face2Face, David Peck speaks with magician, actor and creator Steve Valentine about creativity, the subconscious mind and rediscovering the art of magic. Steve reflects on how the brain is always working beneath the surface, often producing creative breakthroughs when we least expect them. He shares how revisiting the history of magic and returning to routines he once performed has reignited his passion and opened new perspectives on his craft. Their conversation explores how reflection, curiosity and our past experiences shape the way we create and perform. Thoughtful and engaging, this episode is a reminder that creativity is rarely linear and that sometimes the best way forward is to look back.Steve Valentine is a Scottish-born actor, magician, and creator whose career spans television, film, voice acting, and live performance. Born in Scotland and raised near London, he began performing at the age of five, training in theatre and dance before discovering a lifelong passion for magic.Valentine has appeared in more than 250 hours of television and over 15 feature films. He is best known for his starring roles as criminologist Nigel Townsend on NBC's Crossing Jordan, choreographer Martine on WB's Nikki and 80s rock legend Derek Jupiter on Disney's I'm In the Band. He also hosted SYFY's Estate of Panic, earning a Rose d'Or nomination. A versatile performer, Valentine has appeared in The Big Bang Theory, CSI, Supernatural, Psych, and Hot in Cleveland and had a memorable role in Robert Zemeckis' The Walk. His voice work includes beloved characters in Sofia the First, Tinker Bell and the globally popular Dragon Age video game series.Beyond screen work, Valentine is an internationally acclaimed magician and live entertainer. A multi-award winner at Hollywood's Magic Castle, including Close-Up Magician of the Year and Stage Magician of the Year. He has performed everywhere from Las Vegas stages to royal palaces. He is also a keynote speaker who blends magic, storytelling, and performance insights to inspire audiences worldwide. A prolific creator, Valentine founded the global training platform Magic On The Go, hosts the popular podcast Magicians Only and continues to develop television projects, stage shows, and creative work that reflects his boundless curiosity and love of performance.Learn more about Steve here.David Peck is a writer, speaker, and award-winning podcaster who works at the intersection of storytelling, social change, and meaningful dialogue. As the host of Face2Face and former host of Toronto Threads on 640 AM, he has published over 650 in-depth interviews with some of the world's most compelling thinkers, artists and storytellers, including Viggo Mortensen, Sarah Polley, Raoul Peck, Werner Herzog, Chris Hadfield, David Cronenberg, Jason Issacs, Gillian Anderson and Wade Davis. With a background in philosophy and international development, David brings a thoughtful, globally aware perspective to every conversation.He's a published author and experienced keynote speaker, known for creating spaces where complexity is welcomed and ideas come alive. Whether moderating panels, hosting live events, or speaking on issues ranging from ethics to media, David's work is grounded in a deep curiosity about people. At heart, he simply loves good conversation — and believes it's one of the best ways we grow, connect, and make sense of the world.For more information about David Peck's podcasting, writing and public speaking please visit his site here.F2F Music and Image Copyright: David Peck and Face2Face. Used with permission. Hosted on Acast. See acast.com/privacy for more information.

What would you do if you truly believed in yourself?   In this episode of our Big B Word series, we are diving into the transformative power of belief and how it shapes our actions and decisions.   I'll guide you through identifying those pesky limiting beliefs and flipping them into empowering thoughts that propel you forward.   You'll discover how to take small, actionable steps that align with your true self, all while building unshakeable confidence along the way.   Let's explore how belief can be your superpower!  

(Disclaimer! Denne episoden ble spilt inn før flere nye utviklinger rundt Anthropic kom i etterkant. Noe av konteksten kan derfor ha endret seg mellom innspilling og publisering.)OL er ferdig og internett er kjedelig igjen. Anthropic dropper sikkerhetsreguleringer etter krav fra myndighetene, og det kan virke om at AI-regler i USA er mer frivillige enn regulatoriske (i motsetning til i Europa). Og så må vi snakke om Postal Rewards. 35 poeng for en pakke? Vi prøver å forstå økonomien bak.Velkommen til Brukbart med Simon og Martine! Hosted on Acast. See acast.com/privacy for more information.

Le 8 décembre 1986, Martine Escadeillas disparaît brutalement de son appartement au 3ème étage d'un immeuble de Ramonville-Saint-Agne. Des traces de sang découvertes dans les escaliers, son fer à repasser encore branché et son petit-déjeuner laissé intact intriguent les enquêteurs. L'affaire sera classée sans suite mais une lettre reçue par le procureur de la République de Toulouse en 2016 va permettre de faire la lumière sur le coupable.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

"Het sentiment is op zich best positief", zegt Martine Hafkamp van Fintessa Vermogensbeheer. De AEX staat dan ook dicht tegen de recordstand aan. "Soms zijn er zorgen over AI, maar dat ebt ook steeds weer weg. Als je breder kijkt, dan wordt alles gekocht, ook waarde-aandelen." Martine's conclusie is dan ook dat de positieve ondertoon overheerst. Thomas Pellegrom van ABN Amro sluit zich daarbij aan. "De economische data verbeteren de laatste tijd, de economische groei is positief. Je ziet wel een rotatie. De softwarebedrijven staan al een paar weken onder druk en je ziet een draai naar defensievere sectoren." Daarnaast ziet Thomas nog een andere rotatie: uit de VS, richting Europa en de opkomende markten. Als je daarbij de positieve winstontwikkeling optelt van dit cijferseizoen, dan lijkt er geen reden voor grote zorgen. Wolters Kluwer is een goed voorbeeld van een databedrijf dat fors geraakt is door de zorgen over AI. Maar het tegendeel is waar, zo blijkt uit de gerapporteerde cijfers. Kunstmatige intelligentie is voor Wolters Kluwer eerder een kans dan een bedreiging en het is een kwestie van tijd eer beleggers dat ook zo gaan zien. Verder in de podcast onder andere aandacht voor de schijn van voorkennis bij de beursexit van InPost en de goudprijs. Ook aandacht voor de resultaten van Nvidia, Home Depot en Salesforce. Natuurlijk bespreken we de luisteraarsvragen en geven de experts hun tips. Voor Martine is dat een groot Duits concern, voor Thomas is het een ETF met de ISIN-code FR0010429068. Geniet van de podcast! Let op: alleen het eerste deel is vrij te beluisteren. Wil je de hele podcast (luisteraarsvragen en tips) horen, wordt dan Premium lid van BeursTalk. Dat kost slechts 9,95 per maand, 99 euro voor een heel jaar. Abonneren kan hier!See omnystudio.com/listener for privacy information.

Hey friends! I'm beyond excited to announce that we've just released our 300th episode of the podcast!   This milestone is not just a number; it represents 300 conversations, countless lessons, and a journey of growth that I've been on alongside all of you.   This episode is a heartfelt tribute to the power of consistency and the importance of showing up, even on the tough days. Discover how 300 episodes have shaped not just my podcast, but also me as a person.   As we look ahead to the next 300 episodes, I want to continue fostering a community of soul-aligned entrepreneurs—women who protect their energy, make decisions from peace, and thrive without sacrificing their personal lives.   Past Episodes Mentioned: (We Didn't See this Coming…) When Life Takes an Unexpected Turn: How to Respond with Faith Instead of Reacting with Fear  Purpose: The Remix - Living Out Your Life's Purpose with Jade Simmons  

Have you ever walked into a room where you belonged, yet felt like a total intruder? Even when surrounded by friends or longtime colleagues, that whisper of inadequacy—the one that claims you are "running a game" on everyone—often grows loudest just as you are about to shine. In this solo episode, I pull back the curtain on a recent, that forced me to confront my own "elaborate dance of diminishment". We explore the terrifying possibility that we aren't actually afraid of being incompetent, but rather, we are terrified of being seen as someone who knows they are truly good at what they do. If you have ever felt the need to offer a disclaimer before sharing a brilliant idea, this conversation is your invitation to stop shrinking and start taking up the space you have already earned.   Chapters 00:13 The anatomy of an uninvited guest 01:15 Six seats and a drop in the stomach 02:34 The hammer in my chest 04:10 Why we make space for everyone but ourselves 05:50 Maya Angelou and the fear of being seen 07:14 Potholes, grandmothers, and unexpressed brilliance 09:37 Trading disclaimers for bravery   Support the Show Website: http://www.martineseverin.comFollow on Instagram: @martine.severin | @thisishowwecreate_ Subscribe to the Newsletter: http://www.martineseverin.substack.com   This is How We Create is produced by Martine Severin. This episode was edited by Daniel Espinosa. Podcast show art is designed by Violetta Encarnación. Music by Timothy Infinite.   Subscribe wherever you get your podcasts Leave a review Follow us on social media Share with fellow creatives  

Are you struggling to set boundaries without feeling guilty?   ​We're back with another Big B Word conversation, and one that resonates with so many of us: Boundaries.   ​Many women feel guilty or selfish when setting limits. In this episode, we reframe boundaries as a form of self-respect and clarity, not being the mean girl.   ​You'll learn practical tips on how to communicate your needs clearly and confidently, and why boundaries are essential for healthy relationships in your personal and professional life.   ​By the end, you'll have a fresh perspective on setting boundaries that foster intimacy and respect in your relationships.  

The New Discourses Podcast with James Lindsay, Ep. 193 As we encounter both the material in the infamous Epstein Files and revelations from some of Epstein's associates, not to mention the advances in AI and robotics, we're confronted with what seemed like dystopian science fiction just a few years ago: transhumanism. Tech futurists, however, have been predicting it and working toward it for decades, including the curious figure of "Martine" Rothblatt, creator of SiriusXM Radio and board member at the Mayo Clinic. Rothblatt is trans and has written at least two very odd books about sex and gender, The Apartheid of Sex: A Manifesto on the Freedom of Gender (https://www.amazon.com/Apartheid-Sex-Manifesto-Freedom-Gender/dp/051759997X/) (1996) and an updated version called From Transgender to Transhuman: A Manifesto on the Freedom of Form (https://www.amazon.com/Transgender-Transhuman-Manifesto-Freedom-Form/dp/0615489427/) (2011). In this latter book, Rothblatt explains, perhaps ironically now, that the same arguments that justify "transgender" also justify transhuman: ultimately that who we really are does not depend on our physical body at all. In this creepy episode of the New Discourses Podcast, host James Lindsay presents some of this troubling book to you. You will not want to miss this. Latest from New Discourses Press! The Queering of the American Child: https://queeringbook.com/ Support New Discourses: https://newdiscourses.com/support Follow New Discourses on other platforms: https://newdiscourses.com/subscribe Follow James Lindsay: https://linktr.ee/conceptualjames © 2026 New Discourses. All rights reserved. #NewDiscourses #JamesLindsay #Transhumanism

Nick Warburton's comedy drama returns. It takes us to the Fens and the Platters' boatyard nestled on the river.The Platter community is an eccentric one and at its heart is the chaotic pairing of Pat and his sister Libby. Libby, after a long absence, appears to be back to stay and so does Ravi, the newcomer, who Libby took under her wing. Can they all muddle along together in harmony? Possibly but there are hidden Platter secrets still waiting to be uncovered.Libby ..... Monica Dolan Pat ..... Oliver Chris Ravi ..... Waleed Akhtar Greg ..... Django BevanDirected by Tracey NealeThis second story, narrated by Pat, kicks off with a crisis: Martine, the boatyard Manager (who had a fear of water) has walked out. Her shock departure presents Pat with a problem. Either he runs the boatyard himself or employs someone else. Either idea makes him anxious.Libby proposes a plan. Both her and Ravi will apply for the job. She'll ensure Ravi gets it. Although Ravi has experience (he hasn't) and bristles with good ideas (daydreams), is this ever going to work out for the best?There are gorgeous trips along the river and over to Blake's Island. Plans need to be made to thwart a troublesome visitor. But there are unresolved issues and hidden secrets between Pat and Libby that need to be uncovered.The Writer: Nick Warburton's wonderful, gentle touch with family dramas is no secret to Radio 4 listeners, as shown in Mardle Fen, Holding Back the Tide, Downstream, and The Archers.The Cast: Monica Dolan (Mr Bates vs The Post Office, Sherwood, The Change) Oliver Chris (Rivals, My Lady Jane) Waleed Akhtar (Won an Olivier Award for his play 'The P Word') Django Bevan (2025 BBC Carleton Hobbs winner)Producer & Director: Tracey NealeTechnical Producers: Keith Graham and Sam DickinsonProduction Co-Ordinators: Sara Benaim and Clare EwingThis drama was originally broadcast on BBC Radio 4.

A 10h, ce vendredi 20 février 2026, les GG : Emmanuel de Villiers, entrepreneur, Bruno Poncet, cheminot, et Joëlle Dago-Serry, coach de vie, débattent de : "Travail famille patrie", Martine Vassal a-t-elle dérapé ?

Hvorfor i all verden har Martine flere telefoner? Episoden kan inneholde målrettet reklame, basert på din IP-adresse, enhet og posisjon. Se smartpod.no/personvern for informasjon og dine valg om deling av data.

Ever felt like you're running on autopilot, crushing your goals but somehow feeling... empty?   ​You're not alone. So many high-achieving women are quietly burning out, wondering why success doesn't feel as good as it should.   ​My next guest is master-certified life coach and creator of the Golden Coaching Certification, Katie Pulsifer. Today, we are diving into something she calls the good life guilt trap.   ​You know that feeling when you want more but feel guilty for even thinking it? Like you should just be grateful for what you have? That's exactly what we're unpacking.   ​Katie's sharing how to reconnect with what actually lights you up, dodge burnout, and start making choices that feel right, not just look right.   So here are some questions for you: Are you giving yourself permission to want more, or is guilt keeping you playing small? What's that quiet voice inside been trying to tell you?   Connect with Katie Website: https://www.katiepulsifercoaching.com/  Instagram: https://www.instagram.com/katiepulsifer/   

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

What happens when life forces you to disconnect from the identity you've built, and discover something more authentic underneath? Amy is joined by award-winning author and life strategist Martine Cohen. Martine shares the powerful story of how a traumatic brain injury disrupted her high-achieving life as a corporate attorney and cracked open the layers of identity, fear, and perfectionism she had unknowingly worn for years. Through deep personal insight and practical frameworks from her book "No More Layers", Martine helps us navigate the noise of modern life by learning to lead ourselves from within. From the "inner boardroom" to the art of intentional awareness, this conversation is a masterclass in reclaiming your identity, trusting your inner voice, and navigating change with courage, not fear. If you've ever felt stuck, depleted, or like you're chasing something that doesn't quite fit… this one will change the way you see yourself.   Additional Resources: Connect with Martine on LinkedIn Get Martine's book - "No More Layers" Subscribe to Conscious Habit on YouTube! Join the "Conscious Conversations" Community! Sign Up for the Conscious Habit Newsletter Connect with Amy on LinkedIn Learn more about Conscious Habit Follow PeopleForward Network on LinkedIn Learn more about PeopleForward Network   Key Takeaways: You are not your brain, you're so much more. Perfectionism is a protective layer, not your truth. Curiosity is your brain's greatest antidote to fear. Awareness creates space to choose, not react. Lead from alignment, not external expectation.  

Martine Larocque Gulick, Vermont State Senator - Chittenden-Central District, joins Anthony & Dan, to discuss this years Legislative Session.

Do you ever feel like "busy" is your middle name? I get it. We are continuing our chat about those Big B Words, and today, we're tackling busy.    It's time to break up with busy.   Sure, being the go-to woman feels amazing – you're dependable, essential, crushing it. But what if I told you that your value has absolutely nothing to do with your overflowing to-do list?   Join me as we uncover why busyness keeps showing up in your life and how to choose intentionality over exhaustion and overwhelm.   I'm sharing actionable strategies to prioritize what truly matters, create space for what lights you up, and finally stop spinning your wheels.   You don't have to sacrifice your peace or your family to win in business. Let's do this together!  

Vi om OpenAI på Super Bowl, Sam Altman som blir sur på X, Elon som bygger Paypal 2.0 med money transmitter-lisenser, Mac Mini-feber etter OpenClaw – og et sosialt nettverk kun for KI-er som skriver om session-death og prompt-thrownness. Siden sist har Martine fått Snorrepus på Snap, og Simon har søkt på Y Combinator (hihi).Og ja – ukens rant: en skjermfri musikkspiller for barn som ga seks timer skjermtid.Velkommen til Brukbart med Simon og Martine! Hosted on Acast. See acast.com/privacy for more information.

Are you struggling with weight loss and cravings? Learn why diets often fail for high-achieving women and how to break the cycle!   Sandy Zeldes is a certified expert in functional nutrition and EFT tapping. Today, we are talking all about the hidden emotional barriers that can sabotage your weight loss goals.   Sandy reveals how many women unknowingly battle stress and anxiety, leading to unhealthy eating habits and burnout.   We discuss the power of tapping into your emotions and how releasing trapped feelings can lead to transformative changes in your life.   If you feel like you're doing everything right but still not seeing results, this episode will provide you with the insights and tools you need to shift your mindset and reclaim your well-being.   Connect with Sandy Website: www.sandyzeldes.com    Experience a free guided EFT tapping session: https://sandyzeldes.com/mompreneurs/   

Have you ever wondered why a client chooses your lens over a thousand others? In this solo session, I dive into a transformative conversation that shifted my entire understanding of why I am hired as a photographer. We explore the "economy of vision" and how your unique cultural position creates a value that no standard rate card can capture. If you are ready to stop defending your fees and start educating your clients on the specific promise only you can deliver, this episode will help you reclaim your worth.   Chapters 00:00 The Ritual of the Ceramic Plate 01:30 More Than a Service: Why People Actually Hire You 02:31 Thelma Golden and the Economy of Vision 03:40 Defining Your Aesthetic Universe and Cultural Value 04:53 Moving Beyond Objects to Your Specific Promise 08:40 Productive Discomfort: Teaching People How to Want Your Work 10:00 Rehearsing Your Position Over Your Price 12:00 Homework: Identifying the Five Values of Your Work Support the Show Website: http://www.martineseverin.comFollow on Instagram: @martine.severin | @thisishowwecreate_ Subscribe to the Newsletter: http://www.martineseverin.substack.com   This is How We Create is produced by Martine Severin. This episode was edited by Daniel Espinosa. Podcast show art is designed by Violetta Encarnación. Music by Timothy Infinite.   Subscribe wherever you get your podcasts Leave a review Follow us on social media Share with fellow creatives  

Martine, candidate écologiste à la mairie de Saint-Saturnin-lès-Avignon, est venue sur le plateau de Jean-Pierre Foucault pour tester ses connaissances sur les priorités des Français. Tous les jours, retrouvez le meilleur de Laurent Gerra en podcast sur RTL.fr, l'application et toutes vos plateformes. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

What does feminine responsibility actually mean? Not as a mindset, aesthetic, or online trope, but as a biological and embodied reality?In this powerful returning conversation, Johanna is joined once again by mentor and teacher Martine De Luna, who brings over 14 years of experience mentoring women into a grounded, nuanced discussion on feminine biology, safety, stewardship, and mature womanhood.Together, they explore what it means to live femininity beyond performance, reclaiming responsibility not as self-blame or emotional bypassing, but as adult stewardship of the female body, nervous system, and relational world.What feminine biology actually refers to, beyond personality, roles, or aestheticsWhy safety is the primal foundation of feminine embodimentThe biological meaning of feminine authority and the “alpha female” in natureFeminine responsibility as stewardship, not control or self-sacrificeWhy offense is not an emotion, but an interpretive reactionHow unprocessed wounds distort perception in relationshipsFeminine maturity vs. performative femininity (on both sides of the spectrum)Nervous system regulation, polarity, and relational clarityWhy femininity is not incompetence, passivity, or collapseHonoring female desire, intelligence, and competence without rejecting biologyThis episode is an invitation to stop outsourcing regulation, stop fighting reality, and step into the elegant power of embodied feminine responsibility — rooted in truth, biology, and lived experience.If you've ever felt caught between hyper-independence and performative softness, this conversation offers a grounded third path: clear, embodied womanhood.Martine De Luna is a mentor and teacher who has been guiding women for over a decade. Her work integrates feminine biology, emotional ecology, relational responsibility, and grounded spiritual maturity. Martine is known for her clarity, depth, and refusal to dilute feminine truth into trends or tropes.Martine's EDENIC WOMAN membershipMartine's upcoming program: MATRONAMartine's IGMY FREE GIFTS

Ever catch yourself thinking, "I love this work... so why do I feel so drained?"   I'm launching something new: The Big B Words Conversation. A series designed specifically for high-achieving women who are ready to tune into what their lives are whispering before burnout starts shouting.   Learn about the quiet signs your body might be sending, how carrying so much for so long takes its toll, and why rest is not quitting, it's asking you to lead your life differently.   We're going beyond the usual talk about alignment and self-leadership. This is about real, practical ways to care for yourself as a mompreneur without piling on more pressure.   You'll walk away with clarity, self-compassion, and a way to lead your life and business that actually feels sustainable. Are you ready to join the conversation?  

Feeling stuck or burned out in your business? You're not alone.   Let's talk about the real reason behind the resistance you're feeling and what to do when your business goals don't fit your life anymore.   ​Discover how to update your "why," find motivation that feels good, and reconnect with your purpose as a mompreneur.   I'll also share tips on ensuring your goals align with your current season of life, not just who you used to be.   If things feel harder than they should, it might not be the work. It may be time to update your why.  

What do you do when life doesn't look the way you prayed, planned, or expected?   You're showing up. You're being responsible. You're doing "all the right things." And yet internally, there's a quiet resistance that keeps looping: This wasn't supposed to be this hard.   Let's talk about how to handle those hard times and explore how to find peace inside your current season, rather than waiting for things to change.   I open up about my own struggles with grief and wanting things to move faster in both life and business.   You'll learn simple, practical ways to let go of invisible deadlines, find calm in the middle of chaos, and take care of yourself—right where you are.  

Martine, la benjamine d'une fratrie de cinq, se sent accablée par les responsabilités croissantes liées à la prise en charge de son père âgé de 90 ans. Elle exprime son malaise face à l'autorité de sa sœur aînée et les tensions familiales qui en découlent, notamment après avoir été insultée lors d'une réunion de famille. Chaque soir, en direct, Caroline Dublanche accueille les auditeurs pour 2h30 d'échanges et de confidences. Pour participer, contactez l'émission au 09 69 39 10 11 (prix d'un appel local) ou sur parlonsnous@rtl.fr. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Saints du jour 2026-01-30 Sainte Martine by Radio Maria France

Do you know what makes you, YOU?   Today, I'm explaining why self-awareness is the key to stronger relationships, better teamwork, and connection with your kids. This isn't just for business owners. Any mom or entrepreneur can benefit from this!   Using powerful tools like the ProScan helps to understand your strengths, communication style, and energy.   You'll hear my best tips for using self-knowledge to lower stress, improve teamwork, and create more trust with the people you love.   Ready to break old patterns and build stronger relationships? Let's grow together by starting with the person you know best…yourself!  

What if the key to better health isn't just avoiding stressors but actually completing the stress cycle each day?   Chronic stress is a leading risk factor for heart disease. Managing stress isn't just about feeling good; it's about protecting your health.   Join me as I share seven stress-busting tools you can use right away. I promise, these aren't complicated or expensive!   I'll show you how to fit stress relief into your day and explain why protecting this time is the best gift you can give yourself (and your family).   Stress is universal, but managing it effectively is a daily practice. Let's prioritize our well-being together.  

Have you noticed that New Year's resolutions often fizzle out by the end of January?   ​Let's talk about why this happens and how to stay committed to your goals even when motivation starts to fade.   ​It's completely normal to experience emotional challenges like self-doubt while pursuing your goals.   ​I'll walk you through how to move past those "blah" days and still work towards the results you want, whether it's to get healthier, start a business, or just build better habits.   ​You'll learn how to lead yourself, keep focused on your future self, and take small actions that really add up.   ​Remember, action creates clarity, which builds confidence. Success comes from creating momentum through consistent effort, not waiting for motivation to strike first. You've got this!  

Have you ever felt like your goal was just out of reach, only to discover you were closer than you thought?   If you've struggled with missing a big milestone or felt disappointed by almost hitting your target, this episode is for you.   Tune in as I discuss "going through the finish line," a powerful concept my coach taught me that completely changed how I view missed goals, timelines, and what it truly means to keep showing up.   I'll share the breakthrough I had when I decided to keep tracking my progress after the calendar year ended. Hear how it helped me not only reach my revenue goal, but find hope and perspective during a heavy season.