Podcasts about DUR

En el episodio de hoy: Discutimos a fondo por qué nos encantó Amos del Universo, los juguetes de Mattel, las referencias homoeróticas y el humor campy de la muy terrible caricatura ochentera, así como otras épicas del canal 5 (Thundercats, Dinoplatívolos y Thundarr el Bárbaro) que nos gustaría ver adaptadas en live action. ¡Este podcast tiene el poder!Puedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

1er épisode / 5, de la série sur l'angiœdème héréditaire.  Episode 1 : Maladie rare – Qu'appelle-t-on angiœdème héréditaire ? Invité : Dr Fabien Pontille, médecin interniste, praticien hospitalier au sein du département de médecine interne et d'immunologie clinique du CHU de Nancy, référent du Centre de compétences des angiœdèmes à kinines (CREAK) de Nancy et membre du groupe de relecture du PNDS sur l'angiœdème héréditaire, réalisé sous l'égide et en partenariat avec la filière MaRIH.  https://www.chru-nancy.fr/index.php/maladies-rares#centres-de-comp%C3%A9tences   https://marih.fr/   1️⃣ Qu'appelle-t-on angiœdème héréditaire ? [0'37 – 1'12]  ✔️ Maladie génétique rare. ✔️Crises récurrentes d'œdème : atteintes cutanées, digestives ou des voies aériennes supérieures apparaissant généralement dès l'enfance ou l'adolescence. Pour plus d'informations, retrouvez notre page article : https://rarealecoute.com/langioedeme-hereditaire/2️⃣ Quelles sont les manifestations cliniques les plus fréquentes de l'angiœdème héréditaire ? [1'13 – 2'14]  ✔️ Œdèmes récurrents non prurigineux, sans urticaire, touchant peau et muqueuses. ✔️ Atteintes fréquentes : membres, visage, voies aériennes et tube digestif avec douleurs abdominales intenses. ✔️ Durée moyenne des crises 48 à 72 heures, avec régression spontanée. 3️⃣ Quelle est la physiopathologie de cette maladie rare ? [2'14 -3'11]  ✔️ Excès de bradykinine responsable d'une augmentation de la perméabilité vasculaire à l'origine des œdèmes. ✔️ Maladie génétique autosomique dominante liée le plus souvent à un déficit en C1 inhibiteur. 4️⃣ Comment différencier un angiœdème héréditaire d'un œdème allergique ou d'une urticaire ? [3'11 – 4'00]  ✔️ Angiœdème héréditaire : œdèmes récidivants sans urticaire, prolongés et résistants aux antihistaminiques. ✔️ Œdème allergique/mastocytaire : présence fréquente d'urticaire, crises plus brèves et bonne réponse aux antihistaminiques. 5️⃣ Quel est l'impact sur la qualité de vie des patients touchés ? [4'00 – 5'18] ✔️ Crises imprévisibles, douloureuses et invalidantes affectant vie scolaire, professionnelle et sociale. ✔️ Anxiété importante : craintes de crises sévères, notamment laryngées, avec risque d'asphyxie. ✔️ Errance diagnostique fréquente : retards de diagnostic pouvant entraîner souffrance psychologique et prises en charge inadaptées. 6️⃣ Que faire en cas de doute ou suspicion d'un angiœdème héréditaire ? [5'18 – 6'32]  ✔️ Évoquer le diagnostic devant des angiœdèmes récidivants sans urticaire et résistants aux antihistaminiques. ✔️ Orienter rapidement vers un centre expert ou de compétences CREAK pour confirmation diagnostique. ✔️ Confirmer et dépister : bilan du C1 inhibiteur ± génétique, puis enquête familiale si le diagnostic est confirmé.  L'équipe : Virginie Druenne – Ambassadrice RARE à l'écoute Cyril Cassard – Journaliste/Animation Hervé Guillot - Production Crédits : Sonacom ___________________________________________________RARE à l'écoute est le 1er média d'influence entièrement dédié aux maladies rares : - Un podcast pour faire entendre les voix de celles et ceux qui vivent, soignent et accompagnent ces maladies souvent invisibles. - Les Revues Horizon pour mettre en lumière les meilleures initiatives des centres experts, pour inspirer et connecter les professionnels de santé. - Des Lives engagés, pensés pour les patients, leurs proches et les associations. Un média indépendant, engagé et utile, au service d'un meilleur parcours de soin pour les patients atteints de maladies rares. Toutes nos ressources utiles sont accessibles gratuitement sur : www.rarealecoute.com 

Ever wondered about the people behind the balloons you use every single day? This episode is one of those career-highlight conversations you don't want to miss. I sat down with Leo and Marcela of Sempertex at the Sempertex International Balloon Convention in Orlando. Leo is the CEO and Marcela, the VP of Sales and Marketing. We talk about the incredible 87-year history of this family-owned company; from Leo's Austrian grandfather founding it in Colombia in 1938 to the bold decision to focus exclusively on natural latex balloons.  Leo and Marcela share how they hire for culture and values, why 65-70% of their team is women, how they work with 250 farming families in a crop substitution program and what the DUR recycled balloon initiative looks like. If you've ever wanted to feel more connected to the brands you depend on, this is the episode.   In the UGlu Hotline, hear how one listener searches Instagram to get a better feel of a color before trying it.    Unlock three free bonus episodes!    RESOURCES MENTIONED: Sales Sets Havin' A Party Wholesale (save 5% on orders $200+ with code PODCAST) buildwiththeguild.com UGlu by Pro Tapes (save 5% on orders $200+ at Havin' A Party with code PODCAST)  DM @thebrightballoon on Instagram to ask a question or leave advice for the UGlu Hotline! 2026 Bright Balloon Planner  @sempertex - - - - On the Bright Side Apple | Patreon Join the Bright Balloon email list  The Bright Balloon on YouTube 

En un enfrentamiento especialmente tenso en el programa Directo al Grano, Isabel Durán anunció su intención de denunciar a Sarah Santaolalla después de que esta la calificara de "golpista mediática". La polémica fue a más cuando Alejandra Martínez intervino en defensa de Santaolalla y se encaró con Durán, repitiendo esos mismos calificativos e incorporando otros nuevos, lo que elevó aún más la tensión del debate. Sin embargo, veremos las afirmaciones públicas donde Isabel Durán pone en duda la fiabilidad de las aplicaciones de identificación digital utilizadas en los procesos de votación. Además, analizaremos las diferencias en la interpretación del concepto de "pluralidad" entre la televisión pública estatal y Telemadrid a la hora de configurar las mesas de debate y seleccionar a los tertulianos que participan en sus programas de actualidad política. Mas vídeos de Pandemia Digital: https://www.youtube.com/c/PandemiaDigital1 Si quieres comprar buen aceite de primera prensada, sin intermediarios y ayudar de esa forma a los agricultores con salarios justos tenemos un código de promoción para ti: https://12coop.com/cupon/pandemiadigital/ Este video puede contener temas sensibles, así como discursos de odi*, ac*so, o discr*minación. El objetivo de abordar estos temas es exclusivamente informativo y busca concienciar a la audiencia sobre estos acontecimientos, y denunciar y señalar el origen de los mismos para crear consciencia y evitar su propagación. Si consideras que el contenido puede afectarte, te recomendamos proceder con precaución o evitar su visualización. ----------------------------------------------------------------------------------------------- Únete a nuestra comunidad de YouTube https://www.youtube.com/channel/UCFOwGZY-NTnctghtlHkj8BA/join Se mecenas de Patreon https://www.patreon.com/PandemiaDigital ----------------------------------------------------------------------------------------------- Súmate a la comunidad en Twitch - En vivo de Lunes a Jueves: https://www.twitch.tv/pandemiadigital Sigue nuestro Canal de Telegram: https://t.me/PandemiaDigital Suscríbete en nuestra web: https://PandemiaDigital.net Sigue nuestras redes: Twitter: https://twitter.com/PandemiaDigitaI Facebook: https://www.facebook.com/PandemiaDigitalObservatorio Instagram: https://www.instagram.com/pandemia_digital_twitch TikTok: https://www.tiktok.com/@pandemiadigital #PandemiaDigital

Michigan once had a broad electric interurban rail network that linked Detroit, small towns, farms, factories and lake resorts.By the late 1920s and early 1930s, that system was collapsing under pressure from private automobiles, buses, rising costs and court-approved abandonments.This episode follows the decline through newspaper accounts from Saginaw, Monroe and Berrien Springs, showing how electric rail gave way to Michigan's road age.The End of the Road in Michigan is a production of Thumbwind PublicationsThis episode includes AI-generated content.

Merci à Running Conseil d'avoir participé à la réalisation de cet épisode.____Vous entrez dans un magasin de running pour acheter une paire de chaussures et vous repartez souvent avec celle qui brille le plus ou celle que votre copain a recommandée ? Mais est-ce vraiment la bonne ? Anne-Marie est gérante de deux boutiques Running Conseil sur l'ile de la Réunion (Saint-Pierre et Saint-Paul), fondatrice de la première en 2011, ancienne athlète sur piste avec une cinquantaine de dossards au compteur. Avec 15 ans d'éxperiences dans le milieu, elle possède une vision très concrète de ce qu'il faut savoir avant d'acheter.Dans cet épisode, on démystifie tout : morphologie du pied, drop, rotation des paires, semelles, chaussettes, entretien et budget. Un guide pratique pour ne plus jamais rater son achat de chaussures de running._Chapitrage_00:00 Intro et presentation d'Anne-Marie03:07 Ce que veut le client en magasin08:48 Les questions clés avant de conseiller10:34 Rotation des paires : combien en faut-il ?15:11 Morphologie du pied et foulée21:53 Drop, stack, rocker expliques30:00 Usure des chaussures et chaussettes35:57 Les semelles physiologiques46:04 Durée de vie et entretien53:28 Quel budget ?_______⚔️ Notre Programme Rox Evolution : https://bit.ly/roxevolution-podcast

En el episodio de hoy: Quizá no tiene mucha sustancia ni propone una historia compleja, pero The Mandalorian and Grogu está llena de referencias para fans de todas las edades, mucha ternura, acción y momentos dignos del lore de Star Wars. Aquí nuestros detallados y nerdáceos comentarios paso a paso de la película del dúo Favreau-Filoni.Puedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Dur dur de respecter la loi quand on n’a pas peur de la police… | Le Centre de prévention de la radicalisation menant à la violence devient officiellement Ville sans violence | Hausser les taxes municipales, une vraie bonne idée ? Dans cet épisode intégral du 27 mai, en entrevue : Gino Iannone, du Service de police de l’agglomération de Longueuil. Roselyne Mavungu, directrice générale de Villes sans violence. Dave Poitras, directeur stratégique et scientifique. José-Ignacio Nazif-Munoz, professeur, Faculté de médecine et des sciences de la santé, Université de Sherbrooke. Une production QUB Mai 2026Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

Desde hace una década, Colombia se ha consolidado en un verdadero vivero de talentos para el fútbol internacional. Luis Díaz en el Bayern de Munich, Richard Ríos en el Benfica Lisboa, Juan David Cabal en la Juventus... Pero, ¿cómo explicar este éxito? Para averiguarlo, nuestra corresponsal, Najet Benrabaa, visitó algunos centros de formación y barrios populares donde todo comienza.  Es un miércoles por la tarde en Envigado, en los suburbios de Medellín. Bajo el sol, una treintena de adolescentes se entrenan, en pequeños grupos, sobre el césped de la cancha municipal. Estos jóvenes hinchas del fútbol forman parte del Envigado Fùtbol Club. Algunos practican estrategias de ataque delante de la portería. Otros perfeccionan su técnica de control del balón. La escuela Envigado Futbol Club está considerada como un centro de excelencia educativa. “talentos detectados, tenemos muchos”, dice Carles Vidal Barbosa, quien se encarga de la formación de los jóvenes. Este español dejó un club de tercera división en Valencia hace ocho años para instalarse en Colombia. “Actualmente, formamos a 233 jugadores. Su objetivo es, por supuesto, jugar al fútbol en el circuito profesional y en Europa. Es muy difícil, no todos lo logran, ¡evidentemente! Pero creo que el 80% de los alumnos pueden aspirar a entrar en el circuito profesional. La edad promedio de los jugadores en primera división es de unos 20 o 21 años. A menudo son jugadores de la escuela y, a veces, jugadores que ya han pasado por distintos equipos profesionales a nivel mundial y que regresan a casa para reforzar el equipo del centro y ayudar a los nuevos alumnos a progresar”, indicó. En este campo del complejo deportivo El Dorado, varios aspirantes se han convertido en estrellas del fútbol en Europa y Colombia. “Aquí está el campo histórico de Envigado donde se entrenaron todos los jugadores emblemáticos: James Rodríguez, Juan Fernando Quintero, John Jáder Durán, Mateo Zuribe y muchas otras celebridades hoy activas en el fútbol profesional internacional”. El Fenómeno James Rodríguez Entre las estrellas más famosas de este club está James Rodríguez. En su época, la cancha no tenía césped. James Rodríguez tenía 13 años cuando se unió al club en 2004. A los 16 años, el zurdo entró en el circuito profesional. Su ascenso ha sido fulgurante. Después del club Envigado, estuvo en el FC Porto en Portugal, en el AS Mónaco, en el Real Madrid y luego en el Bayern de Múnich. Su transferencia a España en 2014, por 80 millones de euros, sigue siendo la cantidad más alta jamás pagada por un jugador colombiano. Hoy hace parte de un club mexicano. Leer tambiénGran Reportaje RFI: Argentina: fábrica de futbolistas y entrenadores de clase mundial Juan Carlos Grisales Zapata, su ex preparador físico, que sigue en el cargo, recuerda perfectamente este talento excepcional. “No todos los días uno se cruza con un nuevo Platini. No todos los días se encuentra un Tigana, un Maradona o un Pelé. Pero en esta generación del 2000, James era un niño muy disciplinado, leal, con buen comportamiento y con ganas de salir adelante. Cuando llegas a Envigado, llegas con una motivación clara: aprovechar una oportunidad. Porque aquí se les da una oportunidad de cambiar su vida. Llegan con talento y nosotros les ayudamos a trabajarlo. Les damos las bases que necesitan para convertirse en profesionales. Los preparamos para que luego, en Europa, puedan continuar su evolución, porque la segunda formación se hace allá, junto a la élite del fútbol”, indicó Grisales. Al igual que todos los jóvenes aspirantes del club, James Rodríguez recibió una formación personalizada a su llegada. “El principio de la individualidad es fundamental. Cada alumno necesita algo diferente. Trabajamos eso desde muy temprano. Existe lo que se llama la pirámide fundamental del desarrollo locomotor del atleta. Reúne las capacidades motrices, de percepción, de coordinación, condicionales y psicomotrices. Sobre estas bases, se establecen las necesidades de cada jugador”, explicó. Uno de los aspirantes actuales del club se llama Lucas Rendón. El joven de 15 años comenzó a jugar al fútbol a la edad de 4 años. Se unió al Envigado Fútbol Club a los 9 años. “Soy un jugador muy rápido, al que le gusta mucho rematar al arco. A veces me gusta desequilibrar a los demás porque ese es mi estilo de juego. Para ser sincero, la formación es muy difícil, porque hay que hacer muchos sacrificios, muchísimos sacrificios. A veces uno tiene ganas de relajarse, pero como debemos ser disciplinados, tenemos que decir no; por ejemplo, rechazar salidas con los amigos. Al principio es difícil acostumbrarse a este estilo de vida. Es muy exigente, incluso en el colegio son muy estrictos con las salidas y cosas así”, cuenta el joven. Una de las grandes pruebas para el club es el torneo organizado en forma de festival. Durante casi una semana, decenas de clubes colombianos de todo el país se enfrentan entre sí. Es en cierto modo “una copa de los clubes”. La familia, un rol clave para los jóvenes El ambiente en las tribunas del estadio del Polideportivo Sur de Envigado es más animado que en un partido profesional. En las gradas, que pueden acoger hasta 11.000 espectadores, los padres animan a sus hijos cantando Entre los padres más atentos está Daniela Gómez y toda su familia. Llevan una camiseta con el nombre del pequeño prodigio de la familia Juan Diego Gómez. Cada camiseta está personalizada: “Madre de Juan Diego Gómez, Tía de Juan Diego Gómez, Tío de Juan Diego Gómez... “ Se agrupan en la barandilla de las gradas como un segundo equipo de aficionados. “Con el equipo del club, mi hijo entrena tres veces por semana y nosotros pagamos clases personalizadas los otros dos días. Y los fines de semana siempre está en la cancha, siempre tiene partidos. Así que toda la semana y el fin de semana son fútbol. Mi hijo ya es un futbolista profesional. Todos lo apoyamos: aquí está su hermana, mi madre viene a verlo, su tío, los primos… todos estamos aquí para apoyarlo… Sí, sí, sí, los padres siempre están muy presentes y los tíos, mis amigas, todo el mundo lo apoya mucho porque él vive solo para el fútbol y ha demostrado que está decidido a convertirse en jugador profesional”. Esta dedicación a sus hijos se refleja en todos los clubes de capacitación colombianos. Porque el sueño de éxito, riqueza y primera liga europea hace vibrar a cientos de jóvenes colombianos. Y no importa la ciudad, el barrio o los medios financieros de la familia. En los barrios populares, el fútbol es también el deporte rey. A unos 30 minutos de Envigado, en el barrio Florencia al norte de Medellín, el entrenamiento de fútbol también está en pleno apogeo. Estamos en el cancha de fútbol del Inder, un organismo público que gestiona las estructuras deportivas de la ciudad de Medellín. Gracias a él, el club de fútbol AFI dispone de un estadio para entrenar a sus jugadores. Este barrio popular es conocido por sus problemas de violencia relacionados con el tráfico de drogas. Recientemente fue clasificado entre los diez barrios que concentran la mayor parte del mercado de cocaína, marihuana y drogas sintéticas en Medellín. Pero también es el barrio natal de uno de los arqueros más famosos del país: René Higuita. Un estadio lleva su nombre y se ha erigido una estatua en su honor. Higuita es reconocido como uno de los mejores porteros en la historia del fútbol sudamericano. El guardameta colombiano también es famoso en todo el mundo por su “tiro del escorpión”, una acrobacia espectacular que empuja la pelota con los talones. Lo hizo en un partido amistoso contra Inglaterra en Wembley en 1995. En el campo de fútbol de Florencia, los jóvenes jugadores lo tienen todos en mente. Geronimo Briñez tiene 12 años. Este joven portero es tan talentoso que ha recibido una beca para poder jugar al fútbol. Su club, el AFI, se hace cargo del 50% de la cuota mensual. “Me gustaría jugar en la Champions League, en el Mundial por supuesto y en otras ligas de toda Europa. Me gustaría ser una estrella y mostrarles a los demás que nunca es demasiado tarde para lograrlo. Seguir el camino de mis ídolos me motiva a jugar mejor y me impulsa a entrenar más. Además, me siento en forma y debo ser aún más disciplinado y entrenar más, todos los días, para triunfar”, dice el joven. Su entrenador Alexander Ramos está convencido de su talento. Alexander es también el director del club AFI. Este venezolano se mudó a Colombia hace ocho años. Y en seis años, su club ha duplicado el número de inscritos. Cuenta con 320 niños.  “Gerónimo Briñez es un chico con cualidades excepcionales, un arquero que entiende el juego. Solo con verlo y observarlo, se nota que reúne todas las condiciones de un muy buen jugador. Aunque es un guardameta con un perfil poco habitual porque no es muy alto. Pero tiene corazón y talento. Es increíble y las maravillas que hace este pequeño en el arco son dignas de un gran jugador”, indicó. La madre de Gerónimo, Liliana Marcela Restrepo, está sentada en las gradas conversando con otras mamás. Ella inscribió a sus tres hijos en el club de fútbol de Florencia hace seis años. Y por lo tanto pasa casi toda la semana en este campo.  A pesar de los considerables sacrificios financieros, sigue apoyando a sus hijos. “Para mis hijos, a veces tengo dificultades para pagar la mensualidad del club o los gastos de transporte para un partido, pero nos las arreglamos. Hacemos concesiones: pagamos el arbitraje, porque cada partido hay que pagarlo, pero no el transporte. A veces no tengo los medios, pero me organizo con otros padres. Organizo muchas rifas y eso me permite salir adelante. Los padres son solidarios. Me ayudan, por ejemplo llevándome en su coche para ir a un partido. A veces he tenido que ir caminando de un barrio a otro por falta de recursos. Le pregunto a mi hijo: “Vamos al partido, pero solo podremos pagar el arbitraje y tendremos que ir caminando, ¿o no vamos?” Él siempre elige caminar. Me dice: “No mamá, debemos pagar el arbitraje porque el profesor tiene que cobrar, ¡vive de eso!” Entonces caminamos de un barrio a otro, a menudo durante una hora”.Luis Díaz en Alemania, Richard Ríos y Luis Javier Suárez en Portugal, Dávinson Sánchez en Turquía, Juan David Cabal en Italia, Gustavo Puerta en España... El fútbol colombiano se exporta cada vez más al extranjero y detrás de este éxito, hay todo un país. Desde el popular barrio Florencia hasta los prados del Bayern de Múnich o de la Juventus, el camino es largo y lleno de obstáculos. Pero para los jóvenes colombianos, el sueño europeo nunca ha sido tan accesible.

After an 11-year journey through the minor leagues, Padres catcher Rodolfo Durán reflected on his surreal major league debut which ended up with a home run for his first big-league hit. Fueled by family support and a deep love for baseball, Durán explained that his seamless transition to the majors stems from proactive communication to build pitcher confidence and his prior Triple-A experience with the Automated Ball-Strike (ABS) system.

Volcamiento de bus en Loja deja 20 personas heridas; Gemini Omni usa fotos, audios y textos para crear videos con IA; Ucrania fortalece entrenamiento militar para adolescentes en escuelas; Operativo ‘Apolo 18' deja 15 detenidos en Guayaquil y Durán; El Nacional elige a Liliana Yunda como nueva presidenta del club

En el episodio de hoy: Pixar formó a nuestra generación con sus historias que llegaban al corazón y tecnologías de animación revolucionarias, y como amamos recientemente Hoppers y ya viene con todo Toy Story 5, decidimos hacer este episodio especial dedicado a nuestras películas favoritas de la casa de Luxo Jr.Puedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

En el episodio de hoy: El amor por la épica de San George Lucas ha disminuido en los últimos años, pero aún tenemos cosas que decir. Por eso hoy dedicamos este espacio a nuestros personajes, vehículos y criaturas favoritas de Star Wars, pero también los que no nos gustan y los que nos parecen simplemente horrorosos o nefastos. ¡Hay un poco de todo en aquella lejana galaxia!En esta PRIMERA PARTE: PersonajesPuedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

En el episodio de hoy: El entusiasmo por la épica de San George Lucas ha disminuido en los últimos años, pero aún tenemos cosas que decir. Por eso hoy dedicamos este espacio a nuestros personajes, vehículos y criaturas favoritas de Star Wars, pero también los que no nos gustan y los que nos parecen simplemente horrorosos o nefastos. ¡Hay un poco de todo en aquella lejana galaxia!En esta SEGUNDA PARTE: Vehículos y CriaturasPuedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Victoire du CH de Montréal: on croit presqu’à la victoire en 5 | Les propositions de Québec solidaire ont fait réagir François Lambert… | Ruba Ghazal vient défendre ses idées | Dur dur de faire corriger une erreur dans son dossier de crédit | Virage électrique: un individu fait 250 dollars en trois mois et demis | Une première tournée solo pour William Cloutier Dans cet épisode intégral du 11 mai, en entrevue : Ruba Ghazal, députée de Mercier, porte-parole de Québec solidaire. François Lambert, entrepreneur et homme d’affaires. Dave Morissette, animateur et ancien joueur professionnel de hockey. Commentateur sportif à TVA Sports et animateur de l'Après-Match. Me Marie-Philip Simard, avocate au cabinet Klyden Légal. Sylvain Juteau, président fondateur de Roulez Électrique, suivi de la tribune téléphonique. William Cloutier, auteur-compositeur-interprète. Une production QUB Mai 2026Pour de l'information concernant l'utilisation de vos données personnelles - https://omnystudio.com/policies/listener/fr

La team Amigavibes revient avec un nouvel épisode. Il s'agit d'un épisode 100% Amiga avec des productions du début 2026. The Amigavibes team is back with a brand-new episode. This is a 100% Amiga episode featuring productions from early 2026. Ici la tracklist de ce podcast / Here is the tracklist of this podcast : Jingle by JGG - AmigaVibes Game On - Tarnow and mis (0'29) Bacon of Hope - Desire (3'09) Bend the Blitter by Loonies (14'20) Lab Lizards - Five Finger Punch (16'23) Bring It Back - Zymosis (21'38) Big Hat, No Cattle - Bitbendaz (24'48) Symbionyx - V-Nom (29'50) Rubbur - Steffest (33'50) Durée : 36'58 Enjoy Demoscene music Amiga will never die !

The 721st of a series of weekly radio programmes created by :zoviet*france: First broadcast 2 May 2026 by Resonance 104.4 FM and CJMP 90.1 FM Thanks to the artists included here for their fine work. track list 00 Katja Institute - Intro 01 Abul Mogard, Rafael Anton Irisarri - Place of Forever 02 Oval - Sophioko – II 03 Amp - Hypnagogic Semaphore 04 Zreen Toyz - The Dark Streets of Dylath-Leen 05 Julien Ash & Philippe Neau - Une dent qui frise 06 Durán Vázquez + Kloob - Scientific Horror 07 Ohad Fishof - Laid by the Side 08 Fax + Braulio Lam - Serifa ++ Katja Institute - Outro

durée : 00:37:28 - Le 18/20 : un jour dans le monde - par : Fabienne Sintes - Deux mois après le début de la guerre, le choc économique commence à se diffuser bien au-delà du prix de l'essence. Carburants, chimie, textile, agroalimentaire : la hausse de l'énergie se propage à toute la chaîne productive, avec un risque croissant pour la croissance et le pouvoir d'achat. - réalisation : Philippe Lefébure, Nathalie Poitevin, Thomas Lenglain, Mathias Dubois - invités : Denis Ferrand Économiste, directeur général du cabinet COE- Rexecode Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

durée : 00:37:28 - InterNational - par : Fabienne Sintes - Deux mois après le début de la guerre, le choc économique commence à se diffuser bien au-delà du prix de l'essence. Carburants, chimie, textile, agroalimentaire : la hausse de l'énergie se propage à toute la chaîne productive, avec un risque croissant pour la croissance et le pouvoir d'achat. - réalisation : Philippe Lefébure, Nathalie Poitevin, Thomas Lenglain, Mathias Dubois - invités : Denis Ferrand Économiste, directeur général du cabinet COE- Rexecode Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Hvorfor er det så vanskelig å endre mening? Eller er det snarere slik at det er kjempelett å endre mening, vi gjør det hele tiden, det er bare det at vi ikke merker det selv? I boken Ingen tenker alene (Cappelen Damm, 2025) skriver Bjørn Stærk om hva det egentlig vil si å tenke, hvorfor ingen faktisk tenker alene, og forteller en rekke historier om folk som har endret mening om stort og smått, og hvordan det skjedde. I denne podkastepisoden diskuterer Lars og Bjørn boken og disse tema, vi snakker om ytringsfrihet og hvorfor Bjørn er litt mindre opptatt av dette nå enn før, om å ta våre og andres meninger litt mindre bokstavelig, hvor mye ens tanker, argumentasjon og meninger påvirkes av de man omgås, og hvorfor vi mennesker er argumentativ late (og hva det betyr). Vi snakker også om uenighetsfellesskap, amerikansk og norsk politikk, forklaringsdybdeillusjonen, psykologisk forskning på meninger, eksperter og deres meninger, polarisering og samtaler på tvers av grupper, hvordan vi alle egentlig er fulle av selvmotsigelser, hvorfor sosiale medier ikke er spesielt gode steder å argumentere og endre mening (selv om det er mulig), desinformasjon og propaganda, før vi avslutter med noen refleksjoner rundt KI og hvordan våre meninger påvirkes av slike nye teknologier. Finn mer info om Bjørns bøker og arbeid på: https://bearstrong.net/   Bøker nevnt i episoden: Lars Laird Iversen, Uenighetsfellskap. Blikk på demokratisk samhandling, 2014 Steven Sloman og Philip Fernbach, The Knowledge Illusion: Why We Never Think Alone, 2017 Dan Sperber og Hugo Mercier, The Enigma of Reason, 2019 Hugo Mercier, Not Born Yesterday: The Science of Who We Trust and What We Believe, 2020 Peter Pomerantsev, Nothing Is True and Everything Is Possible: The Surreal Heart of the New Russia, 2014 ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ---------------------------- Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss. Alt godt, hilsen Lars og Pål

En el episodio de hoy: el recuento de los daños de la CCXP México 2026, el talento invitado (de Bruce Dickinson y Aaron Paul a Milly Alcock y Pedro Pascal=, lo que hicieron las marcas y estudios, nuestros hallazgos de fayuca y merch, y algunas estrategias para navegar mejor el Centro Banamex si es que quieres ir en 2027.Puedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Vad är reflektionerna efter ett Socialt medieklipp som får över 200k visningar? Lovers/Haters? Nättroll?Vi utmanar begreppet Dur och Moll. KAN det vara så att ibland får Dur vara ledsamt och Moll får vara glatt?Hur går det för Artemis 2 ute i Rymden och hur låter det närden kommer tillbaka i vår atmosfär? Ljudet kommer att förvåna dig.Vi testar Moll-harvande låtar, som Isak har lite svårt för, från Kent, "Kärleken väntar" och REM, "Loosing my religion". Vad har dessa gemensamt? Vad får vi ändra?Förbannat kul att just du lyssnar!Vill du ha din låt uppspelad direktmed tillhörande analys.Maila oss låtlänk + info om projektet till: Musiksnacket@iwm.seLänk till Spellista:https://open.spotify.com/playlist/25dSufz7mpKXI0vbMclpgz?si=77c7b74518db43fdYoutubekanal:https://www.youtube.com/channel/UCRWilvJuy0i6VnwoPj2mjjAoch Patreon:www.patreon.com/musiksnacket#recension #analyser #musik #analys #spotify #Podcast #podd #musiksnacket #Artist #Musiker #scen #studio #AI

Si dijesemos que Gustavo Durán (Barcelona, 1906) ha vivido una vida plena y safisfactoria, estaríamos limitandole. Porque vivió muchas más. Con una infancia marcada por la ausencia de su madre en casa, no tardaron en aparecer las inquietudes musicales y sentimentales. Se formo en el Real Conservatorio de Madrid y se codeó con la Generación del 27. Su hija Lucy Durán afirma que su padre y Lorca fueron amantes, que ambos se dedicaron poemas y partituras. No fue el único ni el último. Cuando estalló la Guerra Civil, Durán militó en el ejercito republicano, y escapó por el puerto de Gandia rumbo a Londres en 1939. Alli empezó su segunda vida junto con la norteamericana Bronte Crompton, con la que tuvo tres hijas. Emigraron a Estados Unidos, y empezó la tercera vida de Durán como diplomatico en las Naciones Unidas, perseguido por la caza de brujas. Salvó al pueblo de Alones, en la isla de Creta (Grecia), donde yace enterrado. A través de todas estas vidas se cruza de manera transversal la música. Nunca dejó de componer. A través de sus canciones, Durán encontró un refugio donde poder expresar los silencios que guardaba: la bisexualidad, la presión, la nostalgia de una España a la que nunca volvió... En este 'Viaje de Ida', Pepe Rubio navega por la vida de Gustavo Durán para conocer cada uno de sus pliegues. Este trabajo ha sido posible gracias a Samuel Diz y Jonatan Alvarado, músicos que han recuperado el cancionero de Gustavo Duran; Lucy Durán, hija del viajado ; Javier Juárez, autor de 'Comandante Durán: leyenda e intelectual en armas', y la periodista Ines García Albi. Con la producción de Teresa Truchado. 

Dur e Aziz Amna joins us to discuss A Splintering, a sharp, compulsive novel about class, ambition, and the cost of becoming who you believe you're meant to be. This week's Book Gang conversation brings us together with award-winning author Dur e Aziz Amna to talk about A Splintering, a novel that pulls you in from its very first line and refuses to let the reader go. This novel made my Best Books of the Year list, and I'm so excited to celebrate this story today. From a childhood shaped by poverty in rural Pakistan to the calculated, high-stakes world of social mobility, Amna introduces us to Tara—a narrator who dares you to judge her even as she demands to be understood. This is a story about ambition sharpened by circumstance, about the quiet and not-so-quiet ways women navigate power, and about what it means to reshape your life when the world has already decided your place within it. In this compelling conversation, we discuss:

En el mundo del automóvil solemos alabar las mecánicas eternas, aquellas capaces de superar el millón de kilómetros. Sin embargo, hoy nos vamos al lado opuesto: los denominados "motores de cristal". Se trata de propulsores que, por fallos de diseño o una ambición técnica mal ejecutada, están condenados a fallar tarde o temprano. En este vídeo repasamos los 10 desastres más sonados y un Bonus Track que está marcando la actualidad de los talleres en media Europa. El origen del desastre Diseñar un motor es un equilibrio imposible entre potencia, peso, consumo y fiabilidad. A veces, ese equilibrio se rompe por la tacañería de un contable o la arrogancia de un ingeniero. Lo curioso es que estos fallos no son exclusivos de marcas económicas; a menudo, son las firmas más prestigiosas las que más han patinado. 1. Chevrolet Vega 2.3 (1970-1977): GM quiso innovar con un bloque de aluminio sin camisas de acero. Al primer calentón, el bloque y la culata dilataban a ritmos distintos, los pistones rayaban las paredes y el motor quemaba aceite como una freidora antes de los 60.000 km. 2. Triumph Stag V8 3.0 (1970-1977): Intentaron crear un rival para Mercedes uniendo dos motores de cuatro cilindros. El diseño tenía espárragos de culata inclinados que se corroían y una bomba de agua en el punto más alto. Si perdía un poco de líquido, el motor se fundía en segundos. 3. Cadillac V8-6-4 (1981-1984): Mucho antes de que la desconexión de cilindros fuera estándar, Cadillac lo intentó con una electrónica de 1981 que era demasiado lenta. El motor daba tirones violentos y los solenoides se quemaban constantemente. Duró solo un año en catálogo. 4. Alfa Romeo Boxer 1.3/1.5 (Años 80): Utilizado en los Alfasud y los primeros 33, suena de gloria pero su mantenimiento era una tortura. Las correas de distribución tenían intervalos de cambio cortísimos y los tensores eran frágiles. Si no eras un "talibán" del mantenimiento, el motor no llegaba a los 100.000 km. 5. Rover Serie K (1988-2005): Un motor brillantísimo por peso y prestaciones (montado en el Lotus Elise), pero con una junta de culata de cartón prensado que no aguantaba los ciclos térmicos. El aceite y el agua se mezclaban formando la famosa "mayonesa" y la culata acababa fundiéndose. 6. Porsche M96 y M97 (1997-2008): El famoso rodamiento IMS. Un rodamiento sellado "de por vida" que, cuando fallaba, provocaba que las válvulas chocaran con los pistones. Porsche tardó una década en solucionar un problema que afectaba a su joya de la corona, el 911. 7. BMW N47 Diésel (2007-2011): BMW arruinó su imagen con este motor. Colocaron la cadena de distribución en la parte trasera, junto a la caja de cambios. Cuando la cadena se estiraba o rompía, la reparación obligaba a sacar el motor entero, con facturas de hasta 5.000 euros. 8. Subaru EE20 Diésel (2008-2015): El primer bóxer diésel del mundo. La idea era buena, pero la ejecución no soportó las presiones internas. Los primeros modelos tenían una tendencia terrorífica a partir el cigüeñal por la mitad. Subaru acabó abandonando el diésel para siempre. 9. PSA-BMW 1.6 THP (2006-2014): El "Prince Engine" resultó ser el príncipe de los desguaces. Problemas graves con los tensores de la cadena, carbonilla masiva en las válvulas de admisión y un consumo de aceite desmesurado que trajo de cabeza a los dueños de Mini y Peugeot. 10. Ford 1.0 EcoBoost (2012-2019): Un ejemplo moderno de cómo la eficiencia sale cara. La correa de distribución va bañada en el aceite del motor. Si el aceite se degrada, la goma de la correa se desprende, tapona la bomba de aceite y el motor se queda sin lubricación, autodestruyéndose en segundos. BONUS TRACK: El motor PureTech EB Serie (2012-2022) No podíamos cerrar este repaso sin hablar del polémico motor PureTech de PSA. Al igual que el modelo de Ford, este motor utiliza una correa de distribución sumergida en el aceite. La promesa era una reducción de la fricción y un funcionamiento más silencioso, pero la realidad física es que el aceite y la goma no suelen llevarse bien. Con el tiempo y el uso de aceites que no cumplen estrictamente la norma de la marca, la correa comienza a degradarse y a soltar filamentos de goma. Estos restos viajan por el circuito de lubricación hasta taponar la "alcachofa" de la bomba de aceite. El resultado es catastrófico: el motor pierde presión de golpe y se gripa. Es vital usar el aceite específico que no ataca a la goma y acortar los intervalos de mantenimiento si quieres que este motor sobreviva.

En el episodio de hoy: nos infiltramos de nuevo en el caos suburbano de Malcolm In the Middle: La vida sigue siendo injusta, para desmenuzar la disfuncionalidad más brillante de la televisión; desde la tiranía necesaria de Lois y el delicioso delirio de Hal, hasta el peso de la genialidad incomprendida de Malcolm y esa resiliencia ante la precariedad que definió a toda una generación.Puedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

In this episode, Julia sits down with Cristóbal Durán and Derek Kitts, founders of WinFlip, to explore how AI-driven tools are reshaping the landscape of local political campaigns and what that means for nonprofits and grassroots organizers. While national campaigns often have access to sophisticated data and strategy teams, down-ballot candidates frequently operate without the same resources.They share how the platform is working to close this gap—helping candidates better understand their districts, calculate realistic paths to victory, and make smarter, data-informed decisions without the need for large consulting teams.The conversation also examines how nonprofits can apply these same principles to advocacy, fundraising, and community engagement—while maintaining ethical standards and trust.

İkili Görüş'te Dr. Bahadır Çelebi, konuğu Aydın Selcen ile 40 günlük İran savaşının bilançosunu ve küresel siyasete etkilerini konuşuyor.00:00 Giriş, hasbihal (görüşmeyeli nasılsınız)01:30 Arnavutluk'ta Müslümanlar, Bektaşiler03:50 Dur, Hükümet'i öveceğim: TİKA neler yapmış aabi04:20 Hükümet Suriye'den ders aldı ve İran konusunda mezhepçi davranmadı söylemine dair07:50 İran füzelerinin hızı, etkinliği ve üretim hızına dair10:50 İran, İsrail'in hava savunma sistemlerini yordu mu?12:40 Hürmüz'ün kapanması, açılması, Trump'ın geçiş ücretini kırışalım demesi15:40 ABD, petrolü ver-güvenliği Al'dan vazgeçti mi?19:30 Çin ne yapmamaya, nereye varmamaya çalışmaktadır?21:35 Trump'ın İran'da rejim değişti ifadesi "aslında" doğru mu?22:30 Pakistan neden ara bulucu olarak öne çıktı?25:30 İslamabad'daki ateşkes görüşmecilerinin profilleri: Vance, Galibaf vs.27:00 İsrail, Lübnan'da katliama devam ediyor. İsrail bunu niye yapıyor?30:50 Ben Gurion'dan bu yana İsrail'in Litani Nehri hedefi34:10 Haşdi Şabi'nin çok sesi çıkmıyor hocam?37:10 Ateşkes metinlerinin gerçekliğini erken kabullenmedik mi? İran neden uranyumu versin; ABD neden İran'ı "felç" etmesin..?42:20 Kasım seçimlerine kadar gün geçmiyor ki ABD'de Trump'a destek oranı düşmesin...47:40 Bu pazar Orban'ın kader seçimi var54:50 Trump, NATO beni desteklemedi, Grönland'ı alayım da görün, modunda59:20 "Ukrayna'da savaş bitti; Avrupa çıkarı için devam ettiriliyor"01:03:00 Rusya'nın NATO sözlerini tutmadı söylemine dair01:07:10 Trump'ın yaptığı şeyler Avrupa'ya düşmanlıkta Putin'den farksız01:09:00 ABD, Meksika, Kolombiya, İran, Küba, Arjantin... Meloni01:14:40 Bunlar yapısal çatlak mı sıva çatlağı mı: Piramitler ayakta, geçen yıl dikilen niye bina göçtü?01:16:10 Şakalar falan⌨️━━━━━━━DAKTİLO1984 AİLESİNİN BİR PARÇASI OLUN!━━━━━━━⌨️

En el episodio de hoy: a propósito de la misión Artemis II, despegamos con rumbo a las estrellas para desmenuzar películas clásicas, basadas en hechos reales y de supervivencia espacial, desde la mística del piloto de pruebas en The Right Stuff y el ingenio bajo presión de Apollo 13, hasta la resiliencia sensorial de Gravity y el optimismo científico de The Martian.Puedes escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

La team AmigaVibes présente un mix des musiques de la compo Dance de la Assembly Summer Party 2025AmigaVibes team presents a mix presented during the Dance Compo of the Assembly Summer Party 2025Ici la tracklist de ce podcast / Here is the tracklist of this podcast : Jingle by JGG - AmigaVibes (0'29) Dirty Holland - Plokk / Hedelmae (3'05) Omphalos - Avenum (3'30) Nemesis - Songsworth (3'29) Function: Kill - muLperi (3'30) Atomic Starman - Mark Vera (3'28) Cyber Tropak - VonDemus / Extream (3'17) Starfall Protocol - Ephmerix (3'22) Tides - Paokala (3'30) Psyygeeni On Hajalla - Starquake Synthmaster and Turbo Knight (3'23) Lost in Translation - Elektro (3'28) Hypnoforest - DJ Joge / Brainstorm (3'32) Shade - Blank Reflect (2'48) Probe Effect - Anturi (3'30) Durée : 43'51 AmigaVibes team (JeFfR3y & Jegougou) - 4ever in Summer Time - Demosceners Rulez

Hvorfor er det vanlig hos de aller fleste dyrearter at ungene leker vilt og lekesloss på ulikt vis? Hvorfor er dette nærmest en universell tendens hos dyr? I alle menneskelige kulturer er det vanlig at barn i alle aldre leker vilt og lekesloss med hverandre. Er dette en slags voldelig tendens som vi helst avvenner barn med så snart vi kan, eller bør vi heller forsøke å forstå hva slags positiv aktivitet slik lekeslossing kan ha i barns utvikling, særlig av sosiale ferdigheter? I denne samtalen snakker Lars med Rune Storli, som er dosent ved Dronning Mauds Minne i Trondheim, og som har forsket på barns lekeslossing og boltrelek. Hva gjør egentlig barn når de lekesloss, hva slags ferdigheter utvikler de i disse aktivitetene, og hva berøver vi barn om vi ikke tillater slik lek? Vi snakker om hvordan barn tilpasser leker når de leker med barn i ulike aldre, hvordan inne- og utemiljøet påvirker slike leker, hvordan de voksne kan hjelpe barn med å forstå noen av de kompliserte sosiale signalene som det kreves at man forstår om man skal lykkes i slik lek, ulike behov for denne typen lek hos gutter og jenter, hvordan boltrelek kan og bør foregå i barnehagen, hvordan det som fremstår som aggressiv lek faktisk kan være med på å redusere aggressivitet og gi bedre sosiale ferdigheter, våpenlek, design av lekeplasser og utearealer, og mye annet. Boltrelek og lekeslossing er en form for sosial risikolek som barn behøver, og vi trenger å skape en kultur hvor slik lek blir forstått som et positivt og nødvendig bidrag til barns utvikling. For mer info om Rune og hans forskning: https://www.dmmh.no/ansatte/rune-storli   Bøker nevnt: Nils Eide Midtsand - Boltrelek og lekeslåssing - større rom i barnehagen og småskolen, 2015 Øyvind Kvalnes, Ellen Beate Hansen Sandseter - Risikofylt lek - en etisk utfordring, 2021 Penny Holland - We don't play with guns here: War, Weapon and Superhero Play in the Early Years, 2003   Bøker nevnt: Nils Eide Midtsand - Boltrelek og lekeslåssing - større rom i barnehagen og småskolen, 2015 Øyvind Kvalnes, Ellen Beate Hansen Sandseter - Risikofylt lek - en etisk utfordring, 2021 Penny Holland - We don't play with guns here: War, Weapon and Superhero Play in the Early Years, 2003   Tidligere episoder om relaterte tema: https://larsogpaal.libsyn.com/episode-39-ellen-beate-hansen-sandseter-om-barns-risikolek https://larsogpaal.libsyn.com/episode-112-risikofylt-lek-med-ellen-beate-hansen-sandseter https://larsogpaal.libsyn.com/episode-113-risikofylt-lek-og-etikk-med-yvind-kvalnes https://larsogpaal.libsyn.com/episode-64-lek-og-idrett-natur-og-filosofi-et-portrett-av-gunnar-breivik https://larsogpaal.libsyn.com/episode-144-mariana-brussoni-on-the-importance-of-risky-play https://larsogpaal.libsyn.com/episode-136-david-f-bjorklund-on-evolution-development-and-learning     ---------------------------- Logoen vår er laget av Sveinung Sudbø, se hans arbeider på originalkopi.com Musikken er av Arne Kjelsrud Mathisen, se facebooksiden Nygrenda Vev og Dur for mer info. ----------------------------   Takk for at du hører på. Ta kontakt med oss på larsogpaal@gmail.com Det finnes ingen bedre måte å få spredt podkasten vår til flere enn via dere lyttere, så takk om du deler eller forteller andre om oss. Alt godt, hilsen Lars og Pål

Version intégrale de la saison 2 de Tumyxo : La Fête de la Nation.Durée totale : 2h56 Yto s'est embarqué à bord du Gallinea pour partir à la recherche des Héritiers, poursuivi par les sbires de Gryff, la Grande Dirigeante. La prophétie est formelle : pour renverser la dictature qui oppresse désormais le Système de Tumyxo, les 6 doivent ne faire qu'un. plus d'infos

durée : 00:04:45 - 100% PSG - Le billet - Le PSG affronte ce soir Toulouse en Ligue 1. Répétition générale avant Liverpool en Ligue des champions au Parc des Princes avec trois objectifs : bien démarrer le sprint final, prendre encore plus d'avance sur Lens au championnat et mettre les corps en mode "combat" avant l'Europe. Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

En el episodio de hoy: la extraña dualidad de querer ser el Rey de los Piratas o simplemente sobrevivir a una jornada laboral. Zarpamos hacia el Grand Line para desmenuzar todo lo que nos trae la segunda temporada de One Piece en Netflix, y también nos ponemos la corbata para visitar la nueva versión de La Oficina en Prime Video, la nueva serie de culto en México.Puedes ver y escuchar este episodio en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ o lo puedes escuchar en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Desbloquea contenido solo para miembros en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ y ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.¡Únete a la comunidad fandaloriana en ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!--⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠El entusiasmo por las ñoñadas ha reunido a Mareo Flores, Andrés "Boludo" Durán y Dani Forlann en un podcast que, además de hablar sobre el universo de Star Wars, también se clava en otras series, películas, cómics, videojuegos y nerdeces. This is the way.

Dans cet épisode exceptionnel du podcast Extraterrien, Barthélémy part à la découverte de l'univers fascinant des chaussures à plaque carbone avec Yann Schrub, récent recordman d'Europe du 10 km, accompagné de Germain, expert produit de Running Conseil. Merci à Puma France et à Running Conseil !

Yeni mekan aradığımızda veya bir ürünün nasıl kullanıldığını merak ettiğimizde yıllarca tek refleksimiz vardı: "Dur şunu Google'layayım." Ancak bugün oyunun kuralları tamamen değişiyor. Z kuşağı başta olmak üzere yeni nesil artık bir şeyleri Google'lamıyor. Milyarlarca sayfalık, kusursuz algoritmaya sahip Google dururken, gençler neden Kadıköy'de kahve içecekleri yeri ararken TikTok arama çubuğunu kullanıyor? Eğer markanızı hala dans edilen bir platform ön yargısıyla TikTok'tan uzak tutuyorsanız, masada milyonlarca lira bırakıyorsunuz demektir.Türkiye'de Dijital Pazarlama podcastinin bu bölümünde dijital pazarlamacıların ve e-ticaret markalarının ezberini bozacak büyük değişimi konuşuyoruz. Adobe'nin 2026 güncel verilerine göre, Z kuşağının %64'ü TikTok'u arama motoru gibi kullanıyor. Google yöneticileri bile gençlerin %40'ının öğle yemeği mekanı ararken Google Haritalar'a değil, TikTok'a gittiğini itiraf ediyor. Çünkü günümüz tüketicisi mavi linkler değil, gerçek deneyim arıyor. Eskiden en iyi kapatıcı araması için 1500 kelimelik SEO makaleleri yazdırırdık. Bugün tüketici, TikTok'ta kuru ciltler için kapatıcı yazdığında karşısına o ürünü yüzüne sürerek sonucu 15 saniyede gösteren insana inanıyor. Müşteriler otoriteye değil, otantisiteye ve gerçekliğe prim veriyor.İşte tam bu noktada TikTok SEO kavramı hayatımıza giriyor. Videolarınızın arama sonuçlarında üst sıralara çıkması için uygulamanız gereken 3 hayati adımı bu bölümde anlatıyorum. Birincisi: Otomatik tamamlama özelliğini kullanarak müşterinizin sorduğu gerçek soruları bulmak. İkincisi: Anahtar kelimeleri açıklama kısmına yazmakla kalmayıp, videonun üzerine metin olarak eklemek ve kendi sesinizle telaffuz etmek. Algoritma ağzınızdan çıkan kelimeleri endeksliyor! Üçüncüsü: Kusurlu olmaktan korkmamak. Jilet gibi reklam filmleri yerine, arka planda deponuzun göründüğü paketleme anını paylaşmak. İnsanlar arkasında gerçek insanların nefes aldığı markalardan alışveriş yapıyor.Google elbette ölmüyor; derin araştırmalar ve karmaşık kararlar için hala orada. Ancak konu gündelik keşif olduğunda ilk aramayı TikTok'ta yapıyoruz. Bütçenizi sadece geleneksel SEO'ya ayırıyorsanız, bu dev dalganın altında kalma riskiniz çok yüksek.Kendi arama alışkanlıklarınızın da değiştiğini fark ettiyseniz dinledikten sonra LinkedIn'den bana yazın. Spotify'da bölümü beğenmeyi, 5 yıldız bırakmayı ve linki ekibinize ateşlemeyi unutmayın! Haftaya dijital pazarlamanın kalbinde atan yepyeni konuyla görüşmek üzere, trendlerin gerisinde kalmayın. Dijitalde güçlü kalın! İyi dinlemeler.

La team AmigaVibes présente un mix des musiques de la compo Listening de la Revision Party 2025AmigaVibes team presents a mix presented during the Shadow Party 2025 of musics from the Listening Compo of the Revision 2025Ici la tracklist de ce podcast / Here is the tracklist of this podcast : Jingle by JGG - AmigaVibes (0'29) Brutal Connection - JosSs and Khrome (3'11) DOT-STAR.EXE - Master Boot Record / Razor 1911 (3'40) Unlimited (re)visions (feat. K.A.R.R}- Turbo Knight / Desire (3'50) Cold Case - Ghost / AttentionWhore (3'14) Yanagi - kazpulse (3'30) Mystische nacht (The Mystic Night) - Jesusito (3'49) The Crushing Weight - Altiga (4'00) Pupsgeräusche Mit Dem Mund - Bod / AttentionWhore (3'23) Everything's Computer! - Romeo Knight (4'00) Struggles - MonoToni / NOGAPNOBACT3RIA (3'54) The Big Anchovie - Protodome (2'47) A Lullaby For Sensitive Souls - Tomarkus / Joker (2'42) Durée : 41'53 AmigaVibes team (JeFfR3y & Jegougou) - From Semihole with luv - Demosceners Rockz

House Sessions H521 – Selected & Mixed by Nikimix House Sessions by Nikimix revient avec un nouvel épisode : H521.Une heure de musique house soigneusement sélectionnée et mixée, mêlant house, soulful house et disco house pour une immersion totale dans l’univers Nikimix. Durée : 61:49 Écouter sur Mixcloud Écouter House Sessions H521 sur Mixcloud Retrouvez

Gilberto Ortega, Chihuahua: El oscuro secreto que un expolicía ocultó a plena luz del día ¿Crees que el pasado militar y policial de Gilberto le ayudó a ganarse la confianza de su entorno y ocultarse a plena luz del día? En este episodio junto a Fermex, nos acompaña Daniela López, estudiante de criminología y criminalística, investigadora y colaboradora del canal, y juntos analizamos la manera en que este expolicía operó en 1997 bajo la negligencia de la sociedad. Hablamos de Gilberto Ortega, el hombre que pasó a la historia mediática bajo el apodo más sombrío de Chihuahua. Pero más allá de las leyendas urbanas, los dibujos hechos con líquido hemático desde prisión y las cartas perturbadoras de una entidad psicológica llamada “Joel”, hay una realidad judicial cruda que el sistema tardó demasiado tiempo en frenar. A finales de la década de los 90's, mientras la atención y la presión social nacional se enfocaban en la crisis de seguridad de Ciudad Juárez, la capital del estado sentía una falsa percepción de control y calma. Fue exactamente en ese punto que nadie vió, en medio de la cotidianidad urbana y el trabajo informal de menores en brigadas de campañas políticas, donde este responsable encontró el escenario perfecto para actuar sin levantar sospechas de las autoridades de manera inmediata. Su pasado en la milicia y en la policía municipal, le dio el camuflaje ideal para ganarse la confianza de sus víctimas y del entorno, moviéndose con total impunidad. Durante este análisis profundo, desmenuzamos la historia separando los hechos comprobados en los tribunales de las historias creadas detrás de las rejas, abordando las verdaderas motivaciones criminales y las grandes fallas que hubo en la prevención del delito. El camuflaje perfecto: Analizamos cómo su experiencia en instituciones y su rol como supuesto “voluntario” le permitieron acercarse a Jaime Espinoza y Adán Durán en 1997, llegando al extremo de sumarse a las búsquedas de las víctimas para controlar la temperatura de la investigación. El efecto sombra de Juárez: Un análisis del impacto social y mediático que explica por qué los primeros focos rojos en la ciudad de Chihuahua capital fueron ignorados o minimizados por las instituciones. El nacimiento del mito: Exploramos el comportamiento perturbador de Gilberto Ortega después de su sentencia de 75 años. ¿Fueron sus declaraciones de actos extremos, sus dibujos tras las rejas y la supuesta voz en su cabeza, un reflejo de una mente completamente fracturada o una estrategia de manipulación pura para alimentar su propio mito? La impunidad tardía: Profundizamos en el inesperado giro del año 2021, cuando la Fiscalía reabrió un expediente de 1995 que había quedado en el olvido, demostrando que la justicia dejó cabos sueltos durante más de 20 años. Acompáñanos a debatir sobre la responsabilidad del entorno frente a las alertas de peligro. Si este análisis criminológico, te movió y te ayudó a entender las cosas que se dejaron de hacer de parte de nuestro sistema, apoya el contenido dejando tu “Me gusta” y suscribiéndote al canal. Advertencia ⚠️: El material presentado en este video tiene fines exclusivamente informativos, educativos y de análisis criminológico documental sobre eventos de interés público. En ningún momento se pretende glorificar actos de daño, justificar conductas ilícitas, ni vulnerar la dignidad o sensibilidad de los involucrados y sus familiares; se recomienda estricta discreción a nuestra comunidad.

Hay personas que destruyen tu vida… sin gritar, sin atacar y sin parecer malas.No son criminales.No son villanos.Son personas normales.En este episodio de 30 Minutos de Poder, Ángel Hernández Durán analiza algunos de los comportamientos humanos más peligrosos que existen:El padre presente pero ausenteEl amigo que se vuelve tóxico cuando crecesEl amigo que te traiciona por envidiaLa pareja que deteriora tu confianza poco a pocoPero el verdadero descubrimiento es este:Todos somos capaces de convertirnos en esas personas.

Kim Pittar of Muirs Bookshop in Gisborne reviews A Splintering by Dur e Aziz Amna, published by Duckworth Books.

durée : 00:08:44 - L'invité de 7h50 - par : Benjamin Duhamel - Ryan Gosling incarne un professeur de science projeté dans l'espace pour sauver l'humanité, dans “Projet Dernière Chance” de Phil Lord et Christopher Miller, qui sortira en salle le 18 mars. Un film épique pour lequel il a reçu l'aide de ses deux jeunes filles. - invités : Ryan GOSLING - Ryan Gosling : Acteur, producteur de cinéma, réalisateur, musicien et compositeur canadien Vous aimez ce podcast ? Pour écouter tous les autres épisodes sans limite, rendez-vous sur Radio France.

A Jerusalén1) Subir: Había una vez un pájaro que vivía en una jaula, cuya puerta estaba rota. Durante muchos años estuvo rota, pero el pájaro no lo sabía. Cada mañana miraba al cielo y con incertidumbre quería salir, pero se preguntaba a sí mismo “¿Y si me caigo?” Duró muchos años en esa jaula. El pájaro envejeció y un día llegó un gran viento que tiró la jaula con el pájaro incluido, el cual salió por la misma expulsión del viento. Allí se dio cuenta de que tenía alas, porque salió por la puerta rota. Así es el miedo. Porque el miedo no va a dejar que vivas, solo busca que sobrevivas y postergues las cosas constantemente. Todos tenemos miedo, y a veces es necesario por prudencia, pero no dejes que el miedo se termine convirtiendo en tu juez, porque te va a enjaular. Las peores jaulas no tienen hierro, sino pensamientos. Por algo Jesús dice: “No tengas miedo”. Eso lleva a que no caigas, pero tampoco podés volar; no pierdes, pero tampoco ganas. Las puertas de la vida están abiertas y la fe, con la esperanza, te ayuda a volar. 2) Maltratado: Una vez una persona me dijo algo que se me quedó grabado: “Tu mayor fan es alguien desconocido y tu mayor hater es un conocido”. Eso siempre me digo cuando me toca dar charlas en distintos lugares. Capaz que en Colombia soy aclamado, pero en mi parroquia, crucificado. Capaz que en mis amigos soy respetado y entre mis familiares, ignorado. Como me dice mi psicóloga “Muchos conocidos tuyos no te dan “like”, pero lo ven todo”. Se refería a mis publicaciones en IG, pero también esto sirve para la vida. Por eso, hay que seguir construyendo y aportando. Ánimo, que por más que te vean constantemente para ver una falla tuya y ser como un “VAR” de fútbol (soccer), sigue caminando que, para ganar partidos de la vida, hay que pasar por muchos golpes.3) Paganos: Heidegger, un gran filósofo, decía que, para lograr virtudes en la vida, uno debía ser rico de corazón y terminaba con este pensamiento: “Las personas ricas compran tiempo, las personas pobres compran cosas las personas ambiciosas compran habilidades y conocimientos, las personas perezosas compran distracciones. Por eso invertí en tu vida y busca crecer y ser una gran persona, una mejor persona cada día. Algo bueno está por venir.

La statistique qui fait mal.Durée de vie moyenne d'un CMO dans une grosse boîte : 3 ans.Le même temps qu'une histoire d'amour.Pendant que les CEOs et les CFO tiennent confortablement 5 ans et plus !À mon époque, c'était déjà comme ça.Premiers budgets coupés ? Marketing.En ce moment, pour tout ceux qui bossent en Marketing, plus que jamais, le sol tremble.Voici mon guide de survie !Accède au récap ici → https://linktw.in/dCdhSCMERCI LES BIG BOSSEnvie d'accélérer votre croissance et de rencontrer les bons partenaires ?Les BigBoss, c'est le club qui connecte décideurs et prestataires.— Matchmaking ciblé— Contenus exclusifs— Deal making convivialRDV ici pour nous rejoindre : https://linktw.in/XJRqWS

House Sessions H520 – Selected & Mixed by Nikimix House Sessions by Nikimix revient avec un nouvel épisode : H520.Une heure de musique house soigneusement sélectionnée et mixée, mêlant house, soulful house et disco house pour une immersion totale dans l’univers Nikimix. Durée : 60:29 Écouter sur Mixcloud Écouter House Sessions H520 sur Mixcloud Retrouvez

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

Anne Ghesquière reçoit Guillaume Fond, médecin psychiatre, chercheur et enseignant à l'université. Peut-on soulager le stress, l'anxiété, la dépression, le déclin cognitif ou le brouillard mental grâce à des compléments alimentaires bien choisis ? Que nous disent les méta-analyses internationales les plus récentes sur les vitamines, plantes, minéraux ? Quel est le rôle du microbiote, du nerf vague mais aussi des carences nutritionnelles dans notre équilibre psychique ? Comment démêler le vrai du faux dans la jungle des gélules, des vitamines et des extraits de plantes ? Bien comprendre les OMEGA 3, la DHA, le rôle de la Vitamine D, de la B9 et du Zinc. Le Dr Guillaume Fond explore les liens profonds entre alimentation, compléments, cerveau et santé mentale, en s'appuyant sur les dernières données scientifiques. Son ouvrage Compléments alimentaires & santé mentale est publié chez Flammarion. Épisode #666Quelques citations du podcast avec Guillaume Fond :"Patience et régularité sont vraiment la clé.""Ce qu'on met dans notre assiette conditionne la façon dont nos gènes s'expriment.""Un stress psychique a des conséquences physiologiques."À réécouter :#609 Bien nourrir son cerveau : stress, anxiété, dépressionRecevez chaque semaine l'inspirante newsletter Métamorphose par Anne GhesquièreDécouvrez Objectif Métamorphose, notre programme en 12 étapes pour partir à la rencontre de soi-même.Suivez nos RS : Insta, Facebook & TikTokAbonnez-vous sur Apple Podcast /Spotify / Deezer / CastBox / YoutubeSoutenez Métamorphose en rejoignant la Tribu MétamorphoseThèmes abordés lors du podcast avec Guillaume Fond :00:00 Introduction01:30 L'invité03:12 Les différents compléments alimentaires03:50 Santé mentale et nutrition06:24 L'efficacité des compléments alimentaires07:45 Durée et régularité10:03 Les idées reçues11:28 Un marché controversé12:36 L'importance de la transdisciplinarité13:53 Les compléments à l'efficacité avérée15:28 Les carences prioritaires16:22 Les extraits de plantes : vigilance !17:44 Théanine et retard de phase22:35 Les garanties des méta-analyses23:36 La santé mentale au quotidien27:04 Le rôle clé du cerveau29:17 Troubles psychiques et conséquences physiologiques30:27 Le DHA pour nourrir le cerveau32:59 L'importance de la vitamine D34:03 Folates et vitamine B934:52 Attention au zinc ?35:11 Cure ou prise quotidienne ?38:11 L'impact des bouleversements hormonaux40:37 Priorité au cerveau dénutri44:05 Les limites des allégations de santé47:24 Les compléments efficaces contre la dépression48:51 Cerveau, nerf vague et microbiote50:30 Faut-il tester son microbiote ?51:41 Probiotiques et dépression59:33 Algues et oméga-301:01:52 La vit C : attention au surdosage01:02:59 En cas des stress01:05:08 Safran et TDAHAvant-propos et précautions à l'écoute du podcast Photo © Geoffroy Mathieu / Leextra / Éditions Flammarion Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

If you keep waiting to feel confident, ready, or comfortable before you say yes to the thing you actually want. A new job. A retreat. A party where you only know one person. Dating again. Speaking up. Starting the thing. Nicole and I are unpacking why “being comfortable” is the wrong goal—and what actually works instead.We talk about why new spaces are *supposed* to feel uncomfortable, why courage has a real physical sensation in your body (and why it kind of sucks), and how waiting to feel ready is often the very thing keeping you stuck. If you've ever told yourself “I'll do it once I feel better / calmer / more confident,” this episode will lovingly interrupt that pattern.You'll hear us cover:- Why you don't get comfortable *before* new experiences—you get comfortable *by doing them*- What courage actually feels like in the body (and why it's not calm)- How to build a simple personal “toolbox” for uncomfortable moments- Why breath is the most underrated regulation tool you already have- Grounding practices that help you come back into your body fast- How reframing nerves can immediately reduce anxiety- Why everyone you think is confident is still nervous- The difference between fear as a signal vs fear as a stop sign- How to stop letting discomfort talk you out of your dreamsAnd if you're a mom listening to this thinking, “Okay, but I barely survived January”...let's be honest: January for moms is a prank.While everyone else is goal-setting and “new year, new me”-ing, we're taking down decorations, surviving winter break, hosting family, and running on fumes. So if you're just now feeling ready to think about your year… you're right on time.That's why we created The Mom's Actual New Year (Feb 9–26) — a 3-week, bite-sized, fun-forward reset designed for real mom life. No pressure. No perfection. Just live coaching, accountability, and a vision board party to help you reconnect to what you actually want and start moving—without waiting to feel ready.Because comfort doesn't come first. Action does.February is the real new year. Dur doi.