Podcasts about picasso

Probst, Carsten www.deutschlandfunkkultur.de, Fazit

En La Brújula del Arte, Marta García Aller y Rebeca Marín nos descubren una de las historias más curiosas del arte en España: el retrato de Felipe V que lleva casi 80 años colgado deliberadamente del revés en el Museo de Bellas Artes de Xàtiva.La decisión es una protesta histórica contra el monarca por la destrucción de la ciudad durante la Guerra de Sucesión. Y no es el único cuadro que ha acabado boca abajo: Mondrian, Matisse, Van Gogh, Picasso o Dalí también han protagonizado algunos de estos errores.

We talk with Jori Louise Cheville, Director of Curatorial Affairs at the Museum of Art and Light, about the fall lineup and how the museum builds connections between old masters and contemporary artists. We dig into Picasso's immersive experience, new exhibitions on AI and identity, and the hands-on events that turn a museum visit into something you can actively take part in. • how curatorial planning links exhibitions across floors and mediums • the fall exhibition lineup including Generation to Generation and Barry Anderson's Janus Restraint • the Picasso immersive experience and the Nov 2 end date • Picasso Line and Lens pairing original prints with David Douglas Duncan photographs • how AI and technology can expand creative process while raising human questions • augmented reality features that let visitors activate artworks with QR codes • upcoming programs including a free family day, an adults' creative night, an after-hours panel, and a movement-based museum experience make sure you go to our website and register for that if you're interested. GMCFCFAs

Probst, Carsten www.deutschlandfunk.de, Kultur heute

Original Picasso Stolen 8 Years Ago Found Hanging in Vacant Apartment by Milwaukee Landlord Picasso print stolen from Milwaukee art gallery in 2018 found by landlord while cleaning apartment Contact the Show: coolstuffdailypodcast@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Julie Buntin joins us to discuss Famous Men, a literary page-turner about a young woman's struggle with power and identity during her college years.This week on Book Gang, we're joined by Julie Buntin, whose new novel Famous Men plunges us into the heart of literary ambition, tangled mentorships, and the shadows that linger from girlhood into adulthood. Through candid storytelling and sharp insight, Julie unpacks the inspiration behind her groundbreaking new work, what drew her to the hallowed halls of campus settings, and how she writes into the gray areas of power and agency.Famous Men traces the story of Will, a young woman shaped by family secrets and the gaze of powerful men. As Will moves from an oppressive childhood to the lure of literary circles and a complicated mentorship with a celebrated older writer, Buntin explores the aftermath of exploitation, the murkiness of agency, and the search for meaning in identity. This novel refuses easy answers and invites readers to reckon with the uncomfortable spaces where self-knowledge is finally forged. For readers who want to hear from a writer who prioritizes craft, this episode is for you!In this week's episode, we discuss:

Schneider, Annette www.deutschlandfunkkultur.de, Fazit

Miguel Ángel González Suárez te presenta el Informativo de Primera Hora en 'El Remate', el programa matinal de La Diez Capital Radio que arranca tu día con: Las noticias más relevantes de Canarias, España y el mundo, analizadas con rigor y claridad. El 11 de septiembre de 2001, tienen lugar los ataques terroristas más descarnados hacia Occidente. Las Torres Gemelas de Nueva York (EE.UU.) son reducidas a escombros tras el impacto de aviones de línea que habían sido previamente secuestrados. Un tercer avión se estrella contra el Pentágono. Un cuarto avión se estrella en Pennsylvania gracias a que los pasajeros se amotinaron contra los secuestradores. Los ataques se convirtieron en el peor ataque a los Estados Unidos en sus más de doscientos años de historia tras alcanzar la cifra de 2.997 muertos y desaparecidos. Hoy hace un año: El gasto público en educación de la UE cae al nivel más bajo desde 2013, según Eurostat. Hoy hace 365 días: Los sindicatos calientan la calle y lideran movilizaciones por la reducción de la jornada laboral. Hace un año: Canarias encadena cinco años como la tercera región con mayor tasa de suicidios. Hoy se cumplen 1.664 días de guerra entre Rusia y Ucrania. 4 años y 196 días Hoy es viernes 11 de septiembre de 2026. El Día Mundial de la Población. La Asamblea General de las Naciones Unidas decidió mantener el Día Mundial de la Población para aumentar la conciencia sobre las cuestiones de población, incluidas sus relaciones con el medio ambiente y el desarrollo. El Día se celebró por primera vez el 11 de julio de 1990 en más de 90 países. 1609: en España se da la orden de expulsión contra los musulmanes no convertidos de Valencia; este será el inicio de la expulsión de todos los musulmanes de España. 1766: Carlos III de España admite a los aborígenes americanos en las comunidades religiosas y los acepta para cargos civiles. 1929: primer vuelo del autogiro (antecedente del helicóptero) cruzando el Canal de la Mancha. 1941: en Estados Unidos empiezan las excavaciones para la construcción del Pentágono. 1965: a Vietnam llega la Primera División de Caballería estadounidense. 1972: en Múnich se clausura la XX Olimpiada. 1981: el Museo de Arte Moderno de Nueva York entrega a España el Guernica, el más célebre de los cuadros de Picasso, pintado en 1937. 1984: en la isla de La Gomera (islas Canarias) mueren 22 personas en un incendio forestal, entre ellas Francisco Afonso (gobernador de Santa Cruz de Tenerife). 1987: el cuadro de Van Gogh, Los girasoles es subastado a un precio récord en la época, 320 millones de francos. 1991: la Unión Soviética decide retirar sus tropas de Cuba, calculadas en 11.000 hombres. 2001: en Estados Unidos suceden los atentados del 11 de septiembre de 2001 en las Torres Gemelas (en Nueva York), a El Pentágono (en Washington) y a un avión (en Pensilvania), dejando 3016 muertos. Nuestra Señora de las Viñas, santos Jacinto y Proto. Día de Cataluña. Patrocinio del santo de cada día por gentileza de la Casa de las Imágenes, en la calle Obispo Perez Cáceres, 17 en Candelaria. Archivos del 11S desclasificados: Nueva York ocultó que el aire era tóxico en la 'zona cero' de los atentados. Trump promete 5.000 dólares para cada adulto estadounidense si los republicanos ganan las 'midterms'. El Banco Central Europeo sube los tipos de interés ante la incertidumbre por el repunte de la inflación. El presidente de la Federación Real Marroquí de Fútbol afirma que la final del Mundial 2030 "será en Casablanca" El Congreso aprueba la nacionalización de saharauis en plena polémica con Marruecos y por la ley de nietos. Perelló califica de "extrema gravedad" acusar a los jueces de adoptar "decisiones por razones políticas y no jurídicas". Nueva estrategia de Bruselas para Canarias: vuelos, barcos, vivienda y fondos europeos La nueva hoja de ruta plantea mantener medidas específicas en transporte, reforzar la financiación europea y abordar problemas como la vivienda, la conectividad y la gestión fronteriza. Canarias es la quinta región española con más causas abiertas de trata y prostitución. La Fiscalía General del Estado recoge en su memoria anual los principales delitos de 2025. El Archipiélago registra una importante llegada de menores que vienen de países africanos para contraer matrimonio. El informe PISA sitúa a Canarias entre las comunidades con más repetidores: uno de cada cuatro. El Archipiélago registra una tasa de repetición del 27%, una de las más altas de España, aunque 11 puntos porcentuales por debajo de la de hace una década. Rescatado al sur de El Hierro un cayuco con 152 ocupantes y un cadáver. Salvamento Marítimo movilizó dos barcos de rescate, con el apoyo de un helicóptero, que facilitó la posición concreta de la embarcación. Llega a El Hierro por sus propios medios un cayuco con 51 ocupantes a bordo. Se trata de la segunda embarcación arribada a la isla este jueves.

In Folge 72 von Tapetenwechsel nehmen Thomas und Pascal ein Thema auseinander, das jeden Bauherren und Mieter betrifft: Woran erkennt man eigentlich einen richtig guten Handwerker?Das Auto verrät mehr als tausend Worte 

What is the single worst thing you could do to a priceless Picasso? Slashing the canvas ruins the picture, but it doesn't destroy the value. In this Rosh Hashana episode, Rabbi Asaf Prisman uncovers why our calendar seems completely backwards. Rosh Hashana is the Day of Judgment and Yom Kippur is the Day of Forgiveness, so why are we judged before we are cleansed? Should we not come into the Day of Judgment with a clean slate? The answer reaches why Hashem refuses to audit your failures on the Day of Judgment, and the hidden royal signature inside every single soul that no mistake on earth can ever erase.

Miguel Ángel González Suárez te presenta el Informativo de Primera Hora en 'El Remate', el programa matinal de La Diez Capital Radio que arranca tu día con: Las noticias más relevantes de Canarias, España y el mundo, analizadas con rigor y claridad. Hoy se cumplen 1.663 días de guerra entre Rusia y Ucrania. 4 años y 195 días. Hoy es jueves 10 de septiembre de 2026. Día Internacional para la prevención del suicidio. Desde el año 2003, la Asociación Internacional para la Prevención del Suicidio, en colaboración con la Organización Mundial de la Salud, ha promovido cada 10 de septiembre el Día Mundial para la Prevención del Suicidio, con el objetivo de concienciar a nivel mundial que el suicidio puede prevenirse. El suicidio es un evento que afecta de manera global a las familias, a las comunidades y a los países. A nivel mundial se suicidan cada año casi un millón de personas, lo que equivale a una persona cada 40 segundos. Además, por cada muerte por suicidio se estima que hay 20 intentos. 11 muertes diarias en España, 4000 suicidios al año. 1831.- Real Decreto de creación de la Bolsa de Madrid. 1898.- Asesinato de la emperatriz de Austria, Elizabeth de Wittelsbach "Sissi", por el anarquista Luigi Luccheni. 1941.- Segunda Guerra Mundial: Alemania nazi impone la ley marcial en Oslo y alega constantes protestas obreras. 1952.- Primera sesión plenaria de los 77 diputados de la Asamblea de la Comunidad del Carbón y del Acero: antecedente del Parlamento Europeo. 1976.- Aprobación del proyecto de Reforma Política que abre el camino de la democracia en España. 1981.- Llega a Madrid procedente de Nueva York el "Guernica" de Picasso para ser instalado en el Casón del Buen Retiro. 1990.- Irak e Irán acuerdan restablecer relaciones diplomáticas en medio de la crisis por Kuwait y tras haber librado una guerra de ocho años. 1992.- Lanzado al espacio, desde la Guayana francesa, el Hispasat, primer satélite español de comunicaciones. 1998.- El exministro español del Interior José Barrionuevo y el exsecretario de Estado Rafael Vera ingresan en la prisión de Guadalajara por el secuestro de Segundo Marey (1983). 2018.- La exvicepresidenta del Gobierno español Soraya Sáenz de Santamaría deja la política. Santoral para hoy 10 de septiembre, Nuestra Señora de las Maravillas y santos Nicolás de Tolentino, Pulqueria y Clemente. Patrocinio del santo de cada día por gentileza de la Casa de las Imágenes, en la calle Obispo Perez Cáceres, 17 en Candelaria. Noruega despide al rey Harald V, símbolo de unidad nacional. Bruselas propone una ley europea con limitaciones al alquiler turístico y a la compra de segundas viviendas. El informe PISA sitúa a España por debajo de la media de la OCDE en matemáticas, lectura y ciencias. Sánchez insiste en que "no se previó una llegada masiva de migrantes" y admite que el Estado "debe prepararse mejor" Feijóo acusa a Sánchez de "no ser un presidente libre" tras la crisis de Ceuta: "Si Marruecos canta, usted se va" Canarias, entre las regiones con más hipotecas para extranjeros. Alemanes (15,6%), británicos (10,6%) y suizos (9,4%) son los ciudadanos de fuera que más préstamos piden para comprar una casa en España, según un informe de Idealista. El primer muelle flotante de Canarias reduce su tamaño para poder reparar grandes barcos en Santa Cruz de Tenerife. El delegado del Gobierno inaugura el primer muelle flotante de Canarias, situado en Santa Cruz de Tenerife, el cual comenzará a reparar grandes barcos fuera del agua en "septiembre". El grupo Hidramar ha reducido el tamaño del dique para poder cumplir con la concesión otorgada por el Puerto chicharrero. Informe PISA en Canarias: los alumnos de centros privados sacan mejores resultados que los de la pública. Canarias se mantiene por debajo de los promedios nacional y europeo en competencias clave tras confirmarse que casi el 40% de los estudiantes isleños no alcanza los mínimos en Matemáticas.

INTRO (00:00): Kathleen opens the show drinking a 417 Lager from Springfield Brewing Company in Springfield, MO. She reviews her Labor Day weekend at Lake of the Ozarks hanging out with family and friends. TOUR NEWS: See Kathleen live on her “Flying Cats & Marching Armadillos Tour.” TASTING MENU (3:01): Kathleen samples Old Vienna of St. Louis Red Hot Riplets, Limited Edition Apple Pie a la Mode Oreos, and Firecracker Gummi Bears. QUEEN NEWS (18:52): Kathleen shares news that Dolly's favorite Northern California getaway is revealed, the University of Calgary is offering a Celebrity Culture course that includes Taylor Swift marketing, Cher gets conservatorship over son Elijah Blue, and Stevie Nicks' younger brother Christopher passes away at age 72. HOLLYWOOD HAPPENINGS (28:12): HollyBobby provides the latest news in Hollywood. UPDATE (42:18): Kathleen updates on Elizabeth Holmes' upcoming “You Can See Everything” documentary, and the British Royal family takes a formal stance against Meghan & Harry. FABULOUS LIVING BY AMY (47:21): Kathleen and her sister-in-law Amy talk about wardrobe capsules and how to maximize your wardrobe with a minimalist approach and consideration to quality over quantity. WHAT ARE WE WATCHING (12:35): Kathleen recommends watching “Nashville” on Amazon Prime, and “Martha Cooks” on Netflix. SPORTS NEWS (1:04:49): Kathleen reads about the Wisconsin vs Notre Dame “Catholics vs Alcoholics” tee, the 2026 best fantasy football punishments before drafting are released, the US Open tennis tournament has an Influencer problem, Wimbledon won't credential Influencers after US Open issues, the CEO of Good Good Golf steps down, and LA Rams owner Stan Kroenke buys the LA Angels. HOLY SHIT THEY FOUND IT (1:24:44): Kathleen reports on Picasso painting “Torero” that was stolen from a Milwaukee gallery has been found 8 years later in a rental apartment, and a rare orange shark has been discovered off the coast of Costa Rica. NEWS (1:27:31): Kathleen reports that only 2 countries in the world allow pharmaceutical tv ads, the Canadian mint is releasing another glow-in-the-dark coin, Gloria Steinem passes away at age 92, Australia becomes the first country to ban AI-generated music from charts, and 40,000 lbs of Pabst Blue Ribbon go missing in a California heist. SPANISH PHRASE OF THE WEEK (1:41:54): The Spanish phrase to learn this week is “cuál es tu comida favorita, or “what is your favorite food” in English. PATRON SAINT OF THE WEEK (1:46:30): Kathleen reads about Saint Thecla, patron saint of women's empowerment after she fought off killer seals & lions and being burned at the stake. FEEL GOOD STORY (1:43:31): Kathleen shares a story about Bill Greason, the first Black pitcher in St. Louis Cardinals history who served as a US Marine and is the last surviving member of the Negro Baseball League. 

Live from Spirit Fest at the Virginia Beach Convention Center, Will and Karen sit down with medical intuitive Picasso Roberts. She explains how she reads the body's "dis-ease" through a mental-emotional lens, why she never diagnoses or prescribes, and the three words she tells every client to remember when a feeling that surfaces isn't actually theirs to carry. Picasso also opens up about her path into the work at 40, her connection to Edgar Cayce's legacy in Virginia Beach, and what it really costs energetically to tune into another person's frequency for a living.The Skeptic Metaphysicians is a spiritual awakening podcast for open-minded thinkers who refuse to check their critical thinking at the door. Each episode explores consciousness expansion, enlightenment, soul purpose, and soul growth through honest, grounded conversation with leading voices in metaphysics, psychic phenomenon, quantum healing, and beyond. We dive deep into spiritual awakening, ascension, alignment, and the awakening process without the dogma. From mediumship and spirit guides to Arcturian contact, astrology, and the subconscious mind, we explore it all with curiosity, humor, and zero guru worship. Whether you're in the middle of your own awakening, questioning reality, or just spiritually curious, this is the podcast for seekers and skeptics alike.Subscribe, Rate & Review!If you found this episode enlightening, mind-expanding, or even just thought-provoking (see what we did there?), please take a moment to rate and review us. Your feedback helps us bring more transformative guests and topics your way!Connect with Us: 

Germán López Picasso (Fundador de Reporte Inmobiliario) Business Plan

¿Qué puede ocurrir al juntar en verano a dos "extranjeros" como Patricia, Carlos "el macarrón", y "Camilo José Juanma" con el Esquitino (y con Pablo con aparición telefónica estelar) en un especial de verano tan entrañable como este? Pues realmente cualquier cosa! En verdad salió un programa divertido, gamberro, visceral y auténtico como este. Yo no lo me perdería, mezclando humor, anécdotas, temazos, reflexiones desde las entrañas, actitud y sabiduría corsaria. Salimos por unas horas de Tortuga Bay para volver al estudio corsario y marcarnos este programón, especial de verano, que ya podéis escuchar en todas las plataformas digitales. Tracklist: - RUNNING WILD - "Bad to the Bone" (Sintonía) - RAMONCÍN - "Putney Bridge" ("Al límite: Vivo y Salvaje", 1990) - LEÑO - "Corre, corre" (Corre, corre", 1982) - METALLICA - "Holier than thou" ("Metallica", 1991) - MANOWAR - "Holy War" (Fighting the World, 1987) - BRUCE DICKINSON - "Tears of the Dragon" ("Balls to Picasso", 1994) - IRON MAIDEN - "The Evil That Men Do" ("Maiden England", 1988) - BARRICADA - "Tentando a la suerte" ("Barricada ("Doble Directo", 1990) - REINCIDENTES - "Otra vez" ("Sol y Rabia", 1993) - LOS SUAVES - "Malas noticias" ("¿Hay alguien ahí?", 1995) - BANZAI - "Amigo" ("Banzai", 1983) - PORRETAS - "Ultima generación" ("Última generación" 1993) - M.C.D. - "Entre Borrachos" (Versión de "My Way" de FRANK SINATRA ("De ningún sitio a ninguna parte", 1998)

Picasso kennen we allemaal, maar deze schilder blijft opvallend onbekend. Waarom wordt hij hier tóch boven Picasso geplaatst?⁠Doe een kleine donatie

*Timestamps are approximate* TIME TOPIC 0:00 Podcast intro with Dave & Chuck "The Freak"0:01 - - - AD MARKER - - -0:01 Crazy storms in the area yesterday0:03 Dave's dilemma involving his dad0:14 EMAIL: How the show stopped him from getting into a bad encounter0:17 The restaurant where police are called to the most0:20 Update on the new Shake Shack milkshake0:24 The best and worst fast food places for getting orders right0:31 NEWS0:31 SYMPHONY OF DESTRUCTION0:31 An old lady lost control of her Tesla in a parking lot0:36 Woman shot a man over a parking lot dispute0:40 Severe storms have been pounding the Midwest0:45 How a guy managed to escape prison with a pencil0:49 People worked together to lift a Volkswagen off of an e-bike rider0:52 Huge gator caught0:53 Family found valuable watch in their jewelry box0:55 Landlord found original Picasso that was stolen while he was cleaning out a unit0:57 - - - AD MARKER - - -0:57 CELEBRITY DIRT0:57 LSU lawsuit1:01 Mark Sanchez strikes a plea deal1:04 Update on the guy who faked being an NFL player to scam women1:10 Update on the trouble involving the announcer from Wheel of Fortune1:29 Dolly Parton corn mazes1:35 - - - AD MARKER - - -1:35 Crazy NFL stadium foods this year, including a crab pretzel1:39 FAST FOOD FREAKOUT1:39 Delivery driver pulled gun on customer who complained1:43 Angry lady threatened workers at a drive thru1:50 Perv busted exposing himself in a store1:53 What happened to a guy who challenged the cops to a fight1:57 Guy found naked in a swimming pool2:03 Fight started when a guy called someone a ladyboy2:11 Pastor accused of elbowing an old guy to the ground2:15 Guy stole a mortuary stretcher from a funeral home2:18 PERVERT OF THE DAY2:18 What a guy had up his butt at the car wash2:26 - - - AD MARKER - - -2:26 ASK DAVE & CHUCK "THE FREAK"2:26 EMAIL: Help him choose between 3 women2:39 EMAIL: Worried about sexual compatibility with wife early in their marriage2:46 EMAIL: His conflict with a buddy's wife2:48 EMAIL: Is it cool to drink someone's booze if you dog sit for someone who isn't paying you2:52 - - - AD MARKER - - -2:52 NEWS2:52 PERVERT OF THE DAY2:52 Couple spotted a peeper recording them having sex through a window2:56 Guy was stranded on an island2:58 Killer whale encounter on a boat3:03 - - - AD MARKER - - -3:03 Update on a pilot who had to make an emergency landing3:05 Why a contestant from Survivor: Greece is suing producers3:07 The number one place to retire in the country3:09 Postal worker busted stealing sports cards3:12 A swarm of delivery bots got together3:15 - - - AD MARKER - - -3:15 WHAT'S UP WITH THE ASIANS?3:15 What a student did with the money his family trusted him to invest with END OF SHOWSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Trump Administration's latest round of sanctions against Iran, dubbed “Operation Economic Outcast,” includes restrictions on cooperation between Iran and American universities. Starting this month, Duolingo banned Iranian citizens from taking its English Test, which many U.S. colleges require for international applicants. Host Megan Harris, executive producer Mallory Falk, and contributor Colin Williams discuss how the language learning company has been swept up in the U.S.-Iran War. We also share our favorite finds from PIT's annual auction of lost items (thousands of earbuds, stuffed animals, a Mercedes… the list goes on); how the shift to fall signals earlier sunsets but also a Dolly Parton-themed corn maze; and a win for renters and housing advocates around evictions. And in our members-only bonus segment, we track the Pittsburgh Symphony Orchestra's itinerary for its big biannual European tour and why that matters here at home. Learn more about the sponsors of this Friday, September 4th episode: Carnegie Library Propel Schools Film Pittsburgh For the Love of Our Parks Notes and references from today's show: Duolingo D-Day: Iranians question latest US sanctions targeting education [Al Jazeera] U.S. Sanctions Cut Off Aspiring Iranians From Tests Needed for Study Abroad [New York Times] U.S. blocks Duolingo English Test in Iran as part of sweeping economic crackdown [Biz Times] New visa rules to go into effect for international students [Pitt News] At the airport auction, a catalogue of what people lose [Pittsburgh City Paper] Looking for a Picasso original? You might find one at annual auction of lost-and-found items at Pittsburgh International [Post-Gazette] Airport auction, full catalog [Joe R. Pyle] PODCAST: Why is PIT the Gold Standard? [Your City Could Be Better] Pittsburgh International Airport Takes Home the Gold [Pittsburgh Magazine] The risk of eviction may be higher than you think. Here's what you should know [Public Source] Pittsburgh sees its final 8pm sunset this week [Axios Pittsburgh] Eviction filing rates drop statewide; study says eviction prevention programs help [Triblive] Local farmstead opens themed corn maze paying tribute to country music legend [WPXI] Mad Mex's Gobblerito returns for the 20th year [Triblive] PETA's Traveling Truck Is Giving Away Vegan Chicken Nationwide [PETA] The Pittsburgh Symphony is touring Europe. Once again, it's the only U.S. orchestra at the world's top classical festival [Post-Gazette] Learn more about our sponsor TK. Become a member of City Cast Pittsburgh at membership.citycast.fm. Want more Pittsburgh news?  Sign up for our daily morning newsletter. We're on Instagram @CityCastPgh. Text or leave us a voicemail at 412-212-8893. Interested in advertising with City Cast? Find more info here. 

Artur Ramon, anticuario, galerista e historiador del arte, conversa con Álvaro sobre qué es el arte, cómo cambia nuestro juicio sobre las obras y de qué manera aprendemos a mirar.A lo largo de la conversación recorren la historia del arte occidental desde la Antigüedad hasta las vanguardias y el arte contemporáneo, pasando por Caravaggio, Goya, Picasso y Dalí. También hablan de belleza, gusto, educación visual y de la relación entre arte, poder y mercado.En la segunda parte, Artur explica su trabajo como anticuario, el proceso de atribuir obras anónimas, el mercado internacional, el coleccionismo y la historia de un Goya que descubrió en una subasta. Una conversación sobre arte, cultura, dinero, conocimiento y la importancia de aprender a mirar.Capítulos00:00 Introducción01:00 ¿Qué es el arte?05:17 El arte, la posteridad y el presente09:13 Creación y dibujo15:35 Historia del arte occidental20:19 Vasari, dibujo y color22:56 Caravaggio y el cambio de paradigma28:56 El artista y la academia36:45 Calidad, belleza y gusto42:34 Aprender a mirar49:29 Caravaggio: aprender a mirar un cuadro53:59 Las mujeres en la historia del arte56:30 De Roma a París: nace el arte moderno01:05:31 Picasso y el siglo XX01:14:05 Las vanguardias y el arte del siglo XX01:28:17 El arte contemporáneo y su industria01:54:13 El Goya, el dinero y el valor del arte02:05:35 Coleccionismo, legado y futuro02:27:50 Cierre—––¿Quieres apoyar Arpa Talks?1. Patrocina Arpa Talks y recibe libros de Arpa cada mes. https://arpaeditores.com/products/patrocinio-arpa-talks2. Únete al canal de WhatsApp de Arpa Editores:https://www.whatsapp.com/channel/0029Vb7dsfcFXUuRmK8aoM0v3. Responde nuestra encuesta. Te llevará un minuto y es anónima:https://docs.google.com/forms/d/e/1FAIpQLSfzvzXzjGDUeVLcDat7Wn4aIC0Ekf5Kj-Y8t4YSTJeiqPmaqA/viewform?usp=send_form4. ¡Compra libros de Arpa! http://www.arpaeditores.com——–YouTube: ‪@ArpaTalks‬Spotify: https://bitly.cx/G6aCDApple Podcast: https://bitly.cx/gLW2INewsletter: https://arpaeditores.com/pages/newsletterTwitter: https://x.com/arpaeditoresMail: talks@arpaeditores.com——–Música original de Alfo G. Aguado x Udio

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Voilà qui peut sembler étonnant. Pablo Picasso a vécu l'essentiel de sa vie en France. Il s'installe définitivement à Paris au début du XXe siècle, y réalise une grande partie de son œuvre et meurt dans le sud de la France en 1973. Pourtant, il n'a jamais obtenu la nationalité française.Et le plus surprenant, c'est qu'il l'a bel et bien demandée.Picasso naît en Espagne, à Malaga, en 1881. Il arrive pour la première fois à Paris en 1900. Mais très rapidement, la police française commence à s'intéresser à lui.Pourquoi ? Parce que le jeune peintre fréquente des Espagnols proches des milieux anarchistes. À cette époque, l'anarchisme inquiète énormément les autorités françaises, notamment après plusieurs attentats commis en Europe.Dès 1901, Picasso fait donc l'objet d'un rapport de police. On le soupçonne lui-même d'être anarchiste, alors qu'aucune preuve sérieuse ne permet de l'établir.Et ce vieux dossier va avoir des conséquences près de quarante ans plus tard.En 1936 éclate la guerre civile espagnole. Picasso prend clairement position contre le général Franco et soutient les républicains. L'année suivante, il peint d'ailleurs l'une de ses œuvres les plus célèbres : Guernica, en réaction au bombardement de cette ville espagnole.Puis, en 1940, alors que la Seconde Guerre mondiale vient de commencer, Picasso décide de demander officiellement la nationalité française.À ce moment-là, il est pourtant déjà mondialement connu. Mais cela ne suffit pas.Les autorités ressortent son ancien dossier de police. Elles rappellent ses supposées sympathies anarchistes et son soutien aux républicains espagnols. Un rapport des Renseignements généraux le présente comme politiquement suspect.Résultat : sa demande de naturalisation n'aboutit pas.Après la guerre, la situation change complètement. Picasso devient l'un des artistes les plus célèbres au monde. Il adhère au Parti communiste français et continue à vivre en France.Il aurait alors probablement pu tenter une nouvelle demande de naturalisation.Mais il ne le fera jamais.Le refus de 1940 semble avoir laissé des traces. Et Picasso, désormais installé et reconnu internationalement, n'avait plus vraiment besoin de devenir français.Il restera donc espagnol jusqu'à sa mort en 1973.Une situation assez paradoxale : l'un des artistes les plus célèbres de l'histoire culturelle française a passé plus de soixante-dix ans en France… sans jamais en avoir la nationalité. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

What does it take to go all-in on a business, grow it faster than expected, and keep looking for the next opportunity?In this episode of Inside the Box, we sit down with Alex and Nicole of Prime Moovers to talk about the story behind one of Springfield, Illinois' growing moving companies and everything that has happened since they decided to bet on themselves.Prime Moovers officially started in May 2024, but the road to launching the company started long before the first truck hit the road. Alex and Nicole share how they met while working in banking, Alex's eventual move into the moving industry, and the frustrations that ultimately pushed them to build a company of their own. That decision meant putting their house on the line, maxing out credit cards, and figuring things out as they went.Since then, Prime Moovers has grown quickly, expanded its team, completed moves across the country, and started looking beyond moving alone. Alex and Nicole explain their bigger vision of creating a group of services that can make the entire moving process easier, including junk removal, cleaning, and potentially even more services in the future.They also take us behind the scenes of the Prime Moovers brand, including how the Highland cow mascot came to life, why branding and marketing were priorities from day one, and how they wanted to create a moving company that felt different from the traditional industry.The conversation gets into the realities of running a growing service business, from hiring and training employees to seasonal demand, moving regulations, equipment costs, customer service, estimating jobs, packing services, preventing damage, and knowing when to turn down a job. Alex and Nicole also share some of the more unusual things they've been asked to move, including a Picasso, hot tubs, pianos, pool tables, gun safes, and more.Later, we talk entrepreneurship beyond Prime Moovers, including businesses Alex tried when he was younger, the bar Alex and Nicole nearly opened before COVID, their partnership in SmallCakes, and what they've learned about operating multiple businesses together as a couple.From a new 15,000-square-foot location to the possibility of eventually expanding Prime Moovers into another market, Alex and Nicole are still thinking about what comes next.If you're interested in small business, entrepreneurship, moving companies, marketing, business growth, customer service, or the Springfield, Illinois business community, this episode offers a candid look at what it takes to build a company while you're still figuring things out along the way.00:00:53 – Expanding Prime Moovers into cleaning and additional services00:02:20 – How Alex and Nicole got started in the moving business00:04:14 – Going all-in: risking their house and maxing out credit cards00:05:48 – The surprising regulations behind running a moving company00:08:50 – Growing the Prime Moovers team and dealing with seasonality00:10:08 – How the Prime Moovers cow mascot and brand came to life00:15:12 – The biggest challenges of rapid business growth00:18:35 – Same-day moves, advance bookings, and making moving easier00:22:54 – Wild moving jobs, a Picasso, hot tubs, safes, pianos and more00:28:09 – Prime Moovers' new location and outgrowing previous spaces00:35:28 – Long-distance moving and expanding beyond Illinois00:46:35 – How marketing helped accelerate Prime Moovers' growth01:03:48 – Automation, customer service, and how Prime Moovers creates estimates01:11:03 – Running businesses as a couple and partnering in SmallCakes01:27:31 – Future growth, potential expansion, operations, and what's next for Prime Moovers

Victor Hugo Vaca Jr. shares his perspective on globalist machinations and details his experiences at the US Naval Academy, alleging that he witnessed systemic corruption and psychological grooming designed to create obedient “psychopaths.” He discusses how elite families are ratcheting up Agenda 2030, digital IDs, and 5G technology to establish global control since their plot is becoming obvious. Vaca believes China will come out number one and America will be relegated to the fourth or fifth position behind BRICS nations, highlighting a perceived shift in power from the West to the East, while warning of a future defined by mass surveillance and the erosion of civil liberties. He believes the dystopia has a silver lining and urges people to keep calm and flow. Watch on BitChute / Brighteon / Rumble / Substack / YouTube *Support Geopolitics & Empire! Become a Member https://geopoliticsandempire.substack.com Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation **Listen Ad-Free for $4.99 a Month or $49.99 a Year! Apple Subscriptions https://podcasts.apple.com/us/podcast/geopolitics-empire/id1003465597 Supercast https://geopoliticsandempire.supercast.com ***Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics American Gold Exchange https://www.amergold.com/geopolitics Escape The Technocracy (15% off w/ GEOPOLITICS!) https://escapethetechnocracy.com/geopolitics Expat Money Online Summit 2026 https://expatmoney.com/geopolitics PassVult https://passvult.com Sociatates Civis https://societates-civis.com StartMail https://www.startmail.com/partner/?ref=ngu4nzr Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Victor-Hugo Collection https://victorhugocollection.com Rumble https://rumble.com/c/VictorHugoArt BitChute https://www.bitchute.com/channel/jXEX4lQwSgmb About Victor-Hugo Vaca Jr. The Maverick Artist Victor-Hugo Vaca Jr. is a multifaceted American artist, filmmaker, author, journalist and founder of the Trademarked, Modern Art Music Movement, the fusion of art, music, film, fashion, literature and education, fostering peace, love and compassionate wealth, worldwide. He is recognized for pioneering modern art gonzo journalism, a fusion of Hunter S. Thompson's gonzo style with cryptic, subliminal art inspired by Dali and Picasso. His work often addresses social and political themes, aiming to document the “beautiful chaos” of contemporary life for future generations. He directed the award-winning film Crackhead Jesus: The Movie (2010). Victor-Hugo Vaca II claims “art is the last bastion of free speech” and as a dissident, Veteran, American refugee, living in the former USSR, Republic of Georgia, near the border with Russia, between War Zones and hot spots of global conflict, after escaping China, two hours before the last border closed, on the day that the Wuhan virus whistleblower, Dr. Li Wenliang died, he uses modern-art-gonzo-journalism to combat censorship on steroids during the information war. Known as, The Maverick Artist Victor-Hugo, the native New Yorker born in the same Elmhurst Hospital as President Donald Trump, is listed in the Library of Congress Reference Book, by DB Burkeman titled, “Stickers: From Punk Rock to Contemporary Art”, as “one of the most influential artists of our time”, alongside The Wu Tang Clan, Banksy and Shepard Fairey. The Maverick Artist Victor-Hugo founded and Trademarked, the Modern Art Music Movement, the fusion of art, music, film, fashion, literature and education, fostering peace, love and compassionate wealth, worldwide and attended the prestigious United States Naval Academy alongside Carter Page in the Class of 1993. He has dedicated his life to shedding Light on the darkness so that the darkness cannot overcome it and starts every Modern Art Music Movement podcast by stating, “My job is not to be politically correct. It is to witness, observe, analyze and document, the beautiful chaos that surrounds us all, so that future generations can understand how we got to this moment in time.” *Podcast intro music used with permission is from the song “The Queens Jig” by the fantastic “Musicke & Mirth” from their album “Music for Two Lyra Viols”: http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)

In this episode Kent brings together Princess Diana, Dolly Parton, Night Train Lane, and Bob Knight in one sharp, funny, and off-the-cuff conversation about fame, legacy, sports, and the strange stories that stick with us. If you like your podcast with Texas flavor, old-school opinion, and a few surprises along the way, this one is for you. Kent opens with a memorable saying from Princess Diana, then moves through the public lives of iconic figures who stayed above the political fray and earned broad respect for it. From Diana's humanitarian work to Dolly Parton's country-music legacy and Michael Jordan's famous line about shoes, this episode keeps circling back to what makes public figures endure. You'll hear stories and commentary on: Why Princess Diana still resonates nearly three decades after her death How Dolly Parton became a beloved ambassador for Nashville, country music, and her own roots The wild origin story of Night Train Lane, including the moment that helped cement his legend Why Bob Knight inspired zero undecided opinions Stupid-criminal headlines, from a Chuck E. Cheese fight to a child with access to a gun College football chaos, including early-season surprises, quarterback pressure, and the latest rule fights Kent Hance also touches on university rankings tied to job outcomes, the hardest positions in sports, a stolen Picasso left behind like it was nothing, and the strange ways public figures, athletes, and even criminals end up making headlines. The result is part sports talk, part cultural commentary, part newspaper riff — and completely unpredictable. What makes this episode worth your time is the range: one minute you're hearing about Diana's legacy and the next you're in the middle of a classic Texas-style detour that lands on football, city naming debates, or the latest absurd news story. It's a reminder that the best storytellers can turn almost anything into something worth listening to. Perfect for listeners who enjoy candid opinions, Texas sports chatter, and stories with personality, attitude, and a little bit of bite.

Send us Fan MailShow Notes:1:40 Markevitch's background as an Impressionist and Modernist expert 3:30 democratization of art like the music industry4:30 accessibility of art and how art makes us feel5:20 unfairness of the art industry's elitist approach 8:00 Emily Gould-inquiry on how to bring more people into the art world10:00 art world representative's narrow perspective on criteria to be an artist12:45 Markevitch's creative prompts on YouTube and Instagram14:00 Markevitch's perspective on AI and art17:25 Picasso's mantra that “bad artists copy” and “good artists steal” and his style appropriation from African art19:05 Astrologist Neil deGrasse Tyson's perspective on art and AI 21:45 ikonoTV and its purpose to share a feeling 23:00 the Slow Art Movement28:25 Gould's inquiry about the experience of art online versus with community29:00 Philosopher Walter Benjamin's 1935 essay, “The Work of Art in the Age of Mechanical Reproduction”30:00 feedback about ikono.tv that includes giving individuals courage to go to museums34:15 placing art in hospitals  37:55 launch of ikono's meditation app: slow, feel the calm 38:55 ikono.tv's “projects we love” page, including an art survey app to develop your “emotional garden” about an event, Sentiko.app 50:00 future of ikonoTV to include all films that feature art51:45 legacy that Markevitch hopes to be making with her work: to bring art to the people52:30 Markevitch's view on the power of art: “Art is what makes us human.”53:30 Markevitch's inspiration54:00 how Markevitch defines justice  Please share your comments and/or questions at stephanie@warfareofartandlaw.comMusic by Toulme.To hear more episodes, please visit Warfare of Art and Law podcast's website.To leave questions or comments about this or other episodes of the podcast and/or for information about joining the 2ND Saturday discussion on art, culture and justice, please message me at stephanie@warfareofartandlaw.com. Thanks so much for listening!This podcast and its content may not be used for training or developing AI systems without permission.© Stephanie Drawdy [2026]

Doyen des ponts de la Seine, le Pont Neuf incarne à lui seul, lʹhistoire et les transformations de la capitale française. Incontournable des circuits touristiques, il a également inspiré de nombreux artistes, parmi lesquels Renoir, Picasso, ainsi que Christo et Jeanne-Claude qui lʹavaient emballé en 1985. Quarante et un ans après, cʹest lʹartiste français JR qui le rhabille. Son projet : transformer le pont en une immense caverne de 120 mètres de long. À cette occasion, Monumental revient sur lʹhistoire de ce monument emblématique avec Nicolas Lyon-Caen, chargé de recherche au CNRS. Sujets traités : Pont, Neuf, Paris, Renoir, Picasso, Christo, Jeanne-Claude Merci pour votre écoute Un Jour dans l'Histoire, c'est également en direct tous les jours de la semaine de 13h15 à 14h30 sur www.rtbf.be/lapremiere Retrouvez tous les épisodes d'Un Jour dans l'Histoire sur notre plateforme Auvio.be :https://auvio.rtbf.be/emission/5936 Intéressés par l'histoire ? Vous pourriez également aimer nos autres podcasts : L'Histoire Continue: https://audmns.com/kSbpELwL'heure H : https://audmns.com/YagLLiKEt sa version à écouter en famille : La Mini Heure H https://audmns.com/YagLLiKAinsi que nos séries historiques :Chili, le Pays de mes Histoires : https://audmns.com/XHbnevhD-Day : https://audmns.com/JWRdPYIJoséphine Baker : https://audmns.com/wCfhoEwLa folle histoire de l'aviation : https://audmns.com/xAWjyWCLes Jeux Olympiques, l'étonnant miroir de notre Histoire : https://audmns.com/ZEIihzZMarguerite, la Voix d'une Résistante : https://audmns.com/zFDehnENapoléon, le crépuscule de l'Aigle : https://audmns.com/DcdnIUnUn Jour dans le Sport : https://audmns.com/xXlkHMHSous le sable des Pyramides : https://audmns.com/rXfVppvN'oubliez pas de vous y abonner pour ne rien manquer.Et si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

“There's no exit in capitalism.” — Jeremy Adelman Is that ongoing quarrel of modern politics, the battle over capitalism, just a storm in a teacup? Economic historian Jeremy Adelman thinks it might be. In The Capitalist Era, Adelman argues that all camps — left and right, Keynesian and Hayekian, socialist and libertarian — accept the unavoidability of global capitalism. There is no alternative, as Mrs Thatcher used to annoyingly say. Although Adelman, certainly no Thatcherite, isn't celebrating the apparent inevitability of our capitalist epoch. What interests Adelman is the making and unmaking of what he calls the “global mind.” The revolutionary quality of capitalism, he says, is that we now think of strangers as somehow part of our community. So when Adam Smith, the moral philosopher father of economics, drank his Chinese tea while reading of a deadly earthquake in China, he recognized that capitalism inevitably entangled our moral thoughts with our self-interest. It wasn't just economists who began to think differently of strangers. Artists as varied as Picasso, Joseph Conrad, and the photography-obsessed Émile Zola all made this moral inquiry of strangers the heart of their work. Yes, Adelman is probably right to say there's no capitalist off-ramp in our post-global economy. But capitalism's octopus-like “global mind” and its (mis)treatment of strangers should turn all economists into moral philosophers and all artists into observers of economics. Five Takeaways •       The Mind, Not the Material. Against Sven Beckert's material history (which Adelman admired and reviewed in Foreign Affairs), The Capitalist Era studies how we think about capitalism — because the thinking sets the policies, creates the attachments, fuels the wars, and builds the institutions. Capitalism, on his dating, is an eighteenth-century invention that dawns with Adam Smith's “commercial society”: the first economic system to tie strangers across the whole planet into one interdependent web — global from the very start. Its founding text is a thought experiment: Smith's gentleman of humanity, drinking Chinese tea while reading of a Chinese earthquake, asked whether he minds the deaths of thousands as much as the pain in his little finger. The marketplace entangles our moralities — and the question of whether sympathy can keep pace with self-interest has governed the global mind ever since.•       No Exit in Capitalism. For or against? A fair question with a layered answer: we are all heirs to the Marxist tradition — inequality and exploitation are inherent to interdependence, and “the propensity to be predatory coexists with the propensity to be empathetic.” But the trap is real: “there's no exit in capitalism” — leaving is so punitive that every socialist revolution has paid catastrophically, a logic Adelman calls part of “the awful cunning” of the Trump administration's economic statecraft. Keynes versus Hayek? When Andrew suggested it amounted to a family squabble — a storm in a teacup — Adelman largely agreed: both camps accept that we live inside capitalism, arguing only over how to live interdependently. No exit, though, doesn't mean no alternatives: the argument worth recovering — lost since the globalization of the 1980s was “dumped on us” — is which form of interdependence we actually want. Gramsci's interregnum, the time for monsters, is exactly when that argument matters.•       The Veil Between Strangers. The book's gallery: not only philosophers but artists — Picasso, the poets, Borges (“I have a hard time writing any book without” him) — and above all photographers, because how we think about strangers is mediated through media. Smith's verb was to see: the stranger's invisibility was the whole problem, and photography — cheap to reproduce, claiming realism — promised to remove the veil. Zola was obsessed with it; street photography made New York and London legible as cities of vice and poverty; and the Opium War photographs that reached London in the 1860s forced a scandal, because this suffering was inflicted by our own troops. But seeing bred a new problem Smith never foresaw: indifference — too many images numbing the sympathies they were meant to awaken. In today's supersaturation of digital and artificially generated strangers, the early doubters' warning compounds: market interdependence plus growing indifference between the interdependent is “a recipe for calamity.”•       Earth Hunger. The charge that capitalism is eating the planet is as old as capitalism: the era of Hobson's Imperialism named the West's insatiable appetite to conquer and carve — “earth hunger” — after the Boer War. Joseph Conrad and Roger Casement traveled the Congo River together: Conrad turned it into Heart of Darkness; Casement wrote the first great humanitarian reports — rubber for Europe's bicycles and tires, extermination for the Congolese and then Amazonians — before renouncing the crown, joining the Irish rebellion, and hanging for treason. Slavery runs through the same river: on Smith's mind from the start, the plantation bonanza's awkward foundation, with dehumanization as extraction's precondition — a through line to the 1930s. To James Crawford's vanishing earth (last week's episode), Adelman offers a friendly dissent: the earth isn't vanishing, but the accelerating metabolism of resources — extracted inhumanely for those who live there — is stressing the system. Alternatives exist; exit does not.•       Hoard the Returns, Externalize the Burdens. Adelman refuses the apocalypse chorus: end-time arguments breed cynicism — grab what you can while you can — which is precisely what turned the 1930s murderous; and the great debate the 2008 crisis should have sparked was stifled by crisis management that worked too well. “Neoliberalism” he finds overblown — the world is a mixed, messy hybrid, China neither socialist nor neoliberal — and the Thucydides Trap is a “silly metaphor”: Sparta and Athens were never as interdependent as China and the United States. Hence the closing duel: Carney versus Trump as two arguments inside the global mind about how to need strangers. Trump, the Toronto-born historian argues, is no isolationist — his is a global vision that wants to “hoard the returns and externalize the burdens,” punishing the asymmetrically dependent (Canada above all) through a predator's bilateralism whose 1930s pedigree Adelman names with discomfort. And China? Sitting on the sidelines, courting Canada, playing “an old game” of constructing and dividing markets — as old as the global mind itself. About the Guest Jeremy Adelman is the Henry Charles Lea Professor Emeritus at Princeton University and professor of history and director of the Global History Lab at the University of Cambridge. Born in Toronto and educated at Toronto, the LSE, and Oxford, he has lived and worked in seven countries. His many books include Worldly Philosopher: The Odyssey of Albert O. Hirschman and Sovereignty and Revolution in the Iberian Atlantic. The Capitalist Era: The Making—and Unmaking—of ...

From MPR News, Art Hounds are members of the Minnesota arts community who look beyond their own work to highlight what's exciting in local art.Want to be an Art Hound? Submit here.Austin ArtWorks Festival brings visual art, music, books and film downtown Gretchen Ramlo has been involved with the Austin ArtWorks Festival since the beginning, but lately she has stepped back and is looking forward simply to attending this year. The free annual festival takes place from 9 a.m. to 5 p.m. Saturday, Aug. 28, and 10 a.m. to 4 p.m. Sunday, Aug. 29. The festival includes more than 80 juried artists working in a variety of artistic media as well as a stage with live music. This year's author's tent includes authors writing romance, crime and thrillers, and Austin history. The festival kicks off Friday at 4 p.m. with a talk by mystery writer William Kent Krueger. Ramlo says she is looking forward to that event as well as a film screening of the documentary “The Life & Art of Eric Anfinson.” Artists respond to Operation Metro Surge in Northeast Minneapolis exhibition Tricia Heuring is artistic director of Public Functionary in Northeast Minneapolis. She's excited about a group show taking place in her neighborhood at a nontraditional space: findfurnish on Central Avenue. Titled “The Radical Act of Having Each Other's Back,” the exhibit features the work of 26 artists created during and since U.S. Immigration and Customs Enforcements' Operation Metro Surge. There is an opening reception Thursday, Aug. 27 from 6 to 9 p.m., and the exhibition remains on view through Sept. 20. At the center of the exhibit, four graffiti writers have created their own black-and-white version of Picasso's painting “Guernica,” his response to the Nazi bombing of Guernica, Spain, during the Spanish Civil War. Heuring says this version, and the show, allows artists to reclaim the narrative following the height of ICE enforcement activity during Operation Metro Surge. Visitors can add magnetic pieces to the Guernica mural as a way of interacting with the story it is telling. “I really hope this is the first of many, many shows by artists processing what's been happening in our cities and and in our country. And I really hope that it inspires more artists to start opening up about the narratives that they want to share, so that we can continue just resisting and talking about the things that are happening.” Dede Decker transforms latch hook into contemporary fine art Jes Reyes is an artist and arts administrator in St. Paul. She wants people to know about Dede Decker's latch hook exhibit at Fresh Eye Gallery in Minneapolis, which runs through Sept. 27. Reyes says: “I'm drawn to artists who embrace intuitive making, blur the boundaries between craft and fine art and create work that is both joyful and deeply personal. As a fiber artist myself, I feel a particular connection to Dede's practice. I'm fascinated by the way she transforms latch hook — a medium many people associate with craft kits — into contemporary fine art through her own original designs. Dede's work also resonates with my own belief that fiber belongs firmly within contemporary art.” (Correction Aug., 27, 2026): A previous version of this story contained a misspelling of Jes Reyes. It has been corrected.

Scott Wilson is a Denver-based conservation photographer and photo advocate for America's wild mustangs. Originally from Glasgow, Scotland, he spent over twenty years as a landscape photographer and corporate communications executive before a stage 4 colon cancer diagnosis changed the course of his life. Sunlight restrictions during chemotherapy pushed him to photograph wildlife from the shade of his car, and that habit led him to Colorado's Sand Wash Basin, where an encounter with a wild pinto stallion named Picasso set him on an entirely new path.What began as an artistic pursuit became an advocacy mission once Wilson witnessed the toll of a federal roundup on the herd he'd come to know. He is an independent conservation photographer and contributor to the We Animals photojournalism agency and Skydog Sanctuary. His black and white portrait "Anger Management" won Open Photographer of the Year at the 2022 Sony World Photography Awards, and his work has appeared in the BBC, the Daily Telegraph, and international galleries. In this conversation, Scott talks about the moment his lens turned from landscapes to advocacy, what he's learned photographing wild horses in their final free spaces, and why he believes the fight for their survival is really a fight for freedom itself.Notable Links:Scott Wilson WebsiteScott Wilson InstagramImage: AdonisImage: PicassoImage: Anger ManagementImage: Wild UnfreeSkydog Ranch and SanctuaryPhoto Advocacy*******MUENCH WORKSHOPS GIVEAWAY** Win a free workshop with me to Bosque del Apache, New Mexico in January, 2027. Application is free! CLICK HERE to learn more.*****This episode is brought to you by Kase Revolution Plus Filters. I travel the world with my camera, and I can use any photography filters I like, and I've tried all of them, but in recent years I've landed on Kase Filters.Kase filters are made with premium materials, HD optical glass, shockproof, Ultra-Low Reflectivity, zero color cast, round and square filter designs, magnetic systems, filter holders, adapters, step-up rings, and everything I need so I never miss a moment.And now, my listeners can get 10% off the Kase Filters Amazon page when they visit. beyondthelens.fm/kase and use coupon code BERNABE10Kase Filters, Capture with Confidence.Follow Richard Bernabe:Substack: https://richardbernabe.substack.comInstagram: https://www.instagram.com/bernabephoto/Twitter/X: https://x.com/bernabephotoFacebook: https://www.facebook.com/bernabephoto

When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

This week a total stranger handed NeuroNoodle his brain. He pulled his own EEG, stripped out every identifying detail, and asked host Pete Jansons and Jay Gunkelman — the man who's read over half a million brain scans — to "read my brain" live on the show. What follows is a rare, unscripted master class: Jay decoding a real, de-identified brain map in real time, with Dr. Mari Swingle on the clinical side. Along the way: how to catch a brain map that's lying to you (Gauss's Law), why a 50Hz hum means the scan is European, how a sleep spindle and an SMR are the same wave, what very fast "glutamate beta" can suggest about a hyper-excitable cortex — and why Jay says the DSM has "no predictive validity" for choosing treatment. Then the reveal: a sharp, high-IQ 25-year-old who moved back home and burned out — and what Jay and Dr. Mari would do about it. Plus Joshua Moore on QEEG phenotypes and the "85%" finding.

Jakob Schwerdtfeger hat Kunstgeschichte studiert und erklärt uns Kunst mit viel Humor – als Comedian auf der Bühne und als Autor. In seinen Büchern entdeckt er amüsante und spannende Aspekte von Kunstwerken und erzählt die kuriosen Geschichten hinter den Werken und Epochen. Denn Kunst ist für alle da. Von Jakob erfahren wir, dass Picasso und Eminem zur gleichen Zeit gelebt haben – oder auch, welcher Künstler bei Instagram besonders aktiv wäre, wenn es das damals schon gegeben hätte. Wetten, dass ihr nach diesem Gespräch Lust habt, ins Museum zu gehen? Obwohl, lieber Jakob: Was soll an einem schwarzen Quadrat faszinierend sein? Podcasttipp: „Pizza & Pommes - mit Felix Neureuther und Philipp Nagel“ https://www.ardsounds.de/sendung/pizza-and-pommes-mit-felix-neureuther-und-philipp-nagel/urn:ard:show:8b568e5106b88918/

Leon Black's relationship with Jeffrey Epstein exposed just how deeply the worlds of high finance, elite philanthropy, and blue-chip art could overlap without much meaningful scrutiny. Black, the billionaire cofounder of Apollo Global Management and one of the most powerful private collectors in the world, paid Epstein roughly $170 million over six years for financial and tax-related services, even though Epstein had already pleaded guilty in 2008 to offenses involving a minor and was a registered sex offender throughout much of their professional relationship. The newly released material showed that Epstein's role went well beyond giving Black occasional financial advice. Epstein became deeply involved in the machinery surrounding Black's enormous art collection, meticulously cataloguing works that were ultimately used as collateral for hundreds of millions of dollars in borrowing. Black's collection, once appraised by Christie's at roughly $2.7 billion, included extraordinary trophies such as Edvard Munch's The Scream, multiple works by Raphael, and a Picasso sculpture purchased for $125 million. Yet Black continued to portray his relationship with Epstein largely as a matter of financial expertise, insisting he had not understood the true extent of Epstein's criminality and describing himself as someone who had been misled. That explanation became much harder to swallow alongside Black's own acknowledgment that he knew about Epstein's 2008 conviction but did not regard it as sufficiently serious to stop doing business with him.The story was also an indictment of an art world that has repeatedly demonstrated an extraordinary capacity to overlook almost anything when enormous wealth, prestigious collections, and major donations are involved. Black did not merely purchase paintings; his money bought him extraordinary institutional standing, culminating in his chairmanship of the Museum of Modern Art, while his masterpieces circulated through museums that benefited from his patronage and prestige. Even after the Epstein relationship became impossible to ignore, Black remained on MoMA's board and continued appearing at major art fairs, museum dinners, galleries, sporting events, and elite cultural gatherings. That resilience illustrated one of the uglier realities of the contemporary art ecosystem: museums and cultural institutions frequently present themselves as moral authorities while remaining financially dependent upon billionaires whose money grants them astonishing insulation from ordinary reputational consequences. Black eventually surrendered leadership positions at Apollo and MoMA, but he was hardly exiled from the cultural establishment. The art world absorbed the scandal, issued the requisite expressions of concern, and largely moved forward with one of its most valuable collectors still inside the tent. In that sense, the Black-Epstein story was about much more than one billionaire's extraordinarily questionable judgment. It demonstrated how an industry built around opaque ownership, private transactions, tax strategy, asset-backed borrowing, billionaire philanthropy, and social exclusivity could provide the perfect environment for uncomfortable questions to remain unanswered as long as the person writing the checks remained important enough.to contact me:bobbycapucci@protonmail.comsource:The Strange Tale of Leon Black and Jeffrey Epstein | Vanity Fair

Leon Black's relationship with Jeffrey Epstein exposed just how deeply the worlds of high finance, elite philanthropy, and blue-chip art could overlap without much meaningful scrutiny. Black, the billionaire cofounder of Apollo Global Management and one of the most powerful private collectors in the world, paid Epstein roughly $170 million over six years for financial and tax-related services, even though Epstein had already pleaded guilty in 2008 to offenses involving a minor and was a registered sex offender throughout much of their professional relationship. The newly released material showed that Epstein's role went well beyond giving Black occasional financial advice. Epstein became deeply involved in the machinery surrounding Black's enormous art collection, meticulously cataloguing works that were ultimately used as collateral for hundreds of millions of dollars in borrowing. Black's collection, once appraised by Christie's at roughly $2.7 billion, included extraordinary trophies such as Edvard Munch's The Scream, multiple works by Raphael, and a Picasso sculpture purchased for $125 million. Yet Black continued to portray his relationship with Epstein largely as a matter of financial expertise, insisting he had not understood the true extent of Epstein's criminality and describing himself as someone who had been misled. That explanation became much harder to swallow alongside Black's own acknowledgment that he knew about Epstein's 2008 conviction but did not regard it as sufficiently serious to stop doing business with him.The story was also an indictment of an art world that has repeatedly demonstrated an extraordinary capacity to overlook almost anything when enormous wealth, prestigious collections, and major donations are involved. Black did not merely purchase paintings; his money bought him extraordinary institutional standing, culminating in his chairmanship of the Museum of Modern Art, while his masterpieces circulated through museums that benefited from his patronage and prestige. Even after the Epstein relationship became impossible to ignore, Black remained on MoMA's board and continued appearing at major art fairs, museum dinners, galleries, sporting events, and elite cultural gatherings. That resilience illustrated one of the uglier realities of the contemporary art ecosystem: museums and cultural institutions frequently present themselves as moral authorities while remaining financially dependent upon billionaires whose money grants them astonishing insulation from ordinary reputational consequences. Black eventually surrendered leadership positions at Apollo and MoMA, but he was hardly exiled from the cultural establishment. The art world absorbed the scandal, issued the requisite expressions of concern, and largely moved forward with one of its most valuable collectors still inside the tent. In that sense, the Black-Epstein story was about much more than one billionaire's extraordinarily questionable judgment. It demonstrated how an industry built around opaque ownership, private transactions, tax strategy, asset-backed borrowing, billionaire philanthropy, and social exclusivity could provide the perfect environment for uncomfortable questions to remain unanswered as long as the person writing the checks remained important enough.to contact me:bobbycapucci@protonmail.comsource:The Strange Tale of Leon Black and Jeffrey Epstein | Vanity Fair

The RPM Show Episode 27 Hosted by DJ DON PICASSO ft. DJ DirtyK Presented by Chrome Label Follow DJ DirtyK https://soundcloud.com/user-685227160 https://www.instagram.com/diirtyk_?igsi=MWttN3Jjd2ltcGZoNg%3D%3D

What if lowering your expectations could actually make you happier? Todd Smith has taken a pretty unconventional path. From forming the band Johnny Clueless with Steve Brown in the early '90s, to stand-up comedy, becoming a licensed clinical therapist, and now sharing daily videos that blend humor, music and life lessons, Todd has spent a lifetime finding different ways to connect with people. In this episode of the Kindness Chronicles, Todd joins us from Austin, Texas, to talk about that journey—and what he's learned along the way about happiness, kindness and being a little easier on ourselves. We dig into why expectations can make us chronically disappointed, the pressure we put on ourselves and our kids, the importance of letting go of perfectionism, comparison, fear and other emotional baggage, and why finding a creative outlet doesn't require you to be Picasso—or even particularly good at it. Todd also shares the story behind his daily social media experiment, how his wife encouraged him to pursue a career in therapy, and how music has unexpectedly become an important part of his life again. And, of course, there's plenty of nostalgia and laughs as Todd and Steve revisit their Johnny Clueless days—including some vintage footage from the band's early years. Sometimes kindness starts with how we treat ourselves. And sometimes the best thing we can do is simply let go. 

Anna Davlantes, WGN Radio's investigative correspondent, joins Bob Sirott to share what happened this week in Chicago history. Stories include the unveiling of Pablo Picasso's masterpiece sculpture, ‘Soul Train’ hitting the airwaves, and a rendition of “Take Me Out To The Ballgame,” Chicagoans will never forget.

Leon Black's relationship with Jeffrey Epstein exposed just how deeply the worlds of high finance, elite philanthropy, and blue-chip art could overlap without much meaningful scrutiny. Black, the billionaire cofounder of Apollo Global Management and one of the most powerful private collectors in the world, paid Epstein roughly $170 million over six years for financial and tax-related services, even though Epstein had already pleaded guilty in 2008 to offenses involving a minor and was a registered sex offender throughout much of their professional relationship. The newly released material showed that Epstein's role went well beyond giving Black occasional financial advice. Epstein became deeply involved in the machinery surrounding Black's enormous art collection, meticulously cataloguing works that were ultimately used as collateral for hundreds of millions of dollars in borrowing. Black's collection, once appraised by Christie's at roughly $2.7 billion, included extraordinary trophies such as Edvard Munch's The Scream, multiple works by Raphael, and a Picasso sculpture purchased for $125 million. Yet Black continued to portray his relationship with Epstein largely as a matter of financial expertise, insisting he had not understood the true extent of Epstein's criminality and describing himself as someone who had been misled. That explanation became much harder to swallow alongside Black's own acknowledgment that he knew about Epstein's 2008 conviction but did not regard it as sufficiently serious to stop doing business with him.The story was also an indictment of an art world that has repeatedly demonstrated an extraordinary capacity to overlook almost anything when enormous wealth, prestigious collections, and major donations are involved. Black did not merely purchase paintings; his money bought him extraordinary institutional standing, culminating in his chairmanship of the Museum of Modern Art, while his masterpieces circulated through museums that benefited from his patronage and prestige. Even after the Epstein relationship became impossible to ignore, Black remained on MoMA's board and continued appearing at major art fairs, museum dinners, galleries, sporting events, and elite cultural gatherings. That resilience illustrated one of the uglier realities of the contemporary art ecosystem: museums and cultural institutions frequently present themselves as moral authorities while remaining financially dependent upon billionaires whose money grants them astonishing insulation from ordinary reputational consequences. Black eventually surrendered leadership positions at Apollo and MoMA, but he was hardly exiled from the cultural establishment. The art world absorbed the scandal, issued the requisite expressions of concern, and largely moved forward with one of its most valuable collectors still inside the tent. In that sense, the Black-Epstein story was about much more than one billionaire's extraordinarily questionable judgment. It demonstrated how an industry built around opaque ownership, private transactions, tax strategy, asset-backed borrowing, billionaire philanthropy, and social exclusivity could provide the perfect environment for uncomfortable questions to remain unanswered as long as the person writing the checks remained important enough.to contact me:bobbycapucci@protonmail.comsource:The Strange Tale of Leon Black and Jeffrey Epstein | Vanity FairBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

Leon Black's relationship with Jeffrey Epstein exposed just how deeply the worlds of high finance, elite philanthropy, and blue-chip art could overlap without much meaningful scrutiny. Black, the billionaire cofounder of Apollo Global Management and one of the most powerful private collectors in the world, paid Epstein roughly $170 million over six years for financial and tax-related services, even though Epstein had already pleaded guilty in 2008 to offenses involving a minor and was a registered sex offender throughout much of their professional relationship. The newly released material showed that Epstein's role went well beyond giving Black occasional financial advice. Epstein became deeply involved in the machinery surrounding Black's enormous art collection, meticulously cataloguing works that were ultimately used as collateral for hundreds of millions of dollars in borrowing. Black's collection, once appraised by Christie's at roughly $2.7 billion, included extraordinary trophies such as Edvard Munch's The Scream, multiple works by Raphael, and a Picasso sculpture purchased for $125 million. Yet Black continued to portray his relationship with Epstein largely as a matter of financial expertise, insisting he had not understood the true extent of Epstein's criminality and describing himself as someone who had been misled. That explanation became much harder to swallow alongside Black's own acknowledgment that he knew about Epstein's 2008 conviction but did not regard it as sufficiently serious to stop doing business with him.The story was also an indictment of an art world that has repeatedly demonstrated an extraordinary capacity to overlook almost anything when enormous wealth, prestigious collections, and major donations are involved. Black did not merely purchase paintings; his money bought him extraordinary institutional standing, culminating in his chairmanship of the Museum of Modern Art, while his masterpieces circulated through museums that benefited from his patronage and prestige. Even after the Epstein relationship became impossible to ignore, Black remained on MoMA's board and continued appearing at major art fairs, museum dinners, galleries, sporting events, and elite cultural gatherings. That resilience illustrated one of the uglier realities of the contemporary art ecosystem: museums and cultural institutions frequently present themselves as moral authorities while remaining financially dependent upon billionaires whose money grants them astonishing insulation from ordinary reputational consequences. Black eventually surrendered leadership positions at Apollo and MoMA, but he was hardly exiled from the cultural establishment. The art world absorbed the scandal, issued the requisite expressions of concern, and largely moved forward with one of its most valuable collectors still inside the tent. In that sense, the Black-Epstein story was about much more than one billionaire's extraordinarily questionable judgment. It demonstrated how an industry built around opaque ownership, private transactions, tax strategy, asset-backed borrowing, billionaire philanthropy, and social exclusivity could provide the perfect environment for uncomfortable questions to remain unanswered as long as the person writing the checks remained important enough.to contact me:bobbycapucci@protonmail.comsource:The Strange Tale of Leon Black and Jeffrey Epstein | Vanity FairBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

¡Toma previsiones! Metrobús anuncia cierres en las líneas 2 y 5  Exposición de Picasso llega a la UAEMex  España y Marruecos blindan frontera de CeutaMás información en nuestro podcast#grc

Friday, August 14. The seven stories you need to know today.Read today's briefing.

Aceptémoslo: todos hemos ido a un museo, hemos visto una obra extraña y hemos pensado "yo podría hacer eso". Pero, ¿realmente podríamos?

In this episode, Lyell K. Jones Jr, MD, FAAN, speaks with Karin G. Johnson, MD, FAAN, who served as the guest editor of the August 2026 Sleep Neurology issue. They provide a preview of the issue, which publishes on August 3, 2026. Dr. Jones is the editor-in-chief of Continuum: Lifelong Learning in Neurology® and is a professor of neurology at Mayo Clinic in Rochester, Minnesota. Dr. Johnson is a Professor in the Department of Neurology at the University of Massachusetts Chan School of Medicine–Baystate and the Sleep Medicine Division Chief at Baystate Medical Center in Springfield, Massachusetts Additional Resources Read the issue: continuum.aan.com Subscribe to Continuum®: shop.lww.com/Continuum Continuum® Aloud (verbatim audio-book style recordings of articles available only to Continuum® subscribers): continpub.com/Aloud More about the American Academy of Neurology: aan.com Social Media facebook.com/continuumcme @ContinuumAAN Host: @LyellJ Guest: @drsleepykarin  Full episode transcript available here Dr Jones: This is Dr. Lyell Jones, Editor-in-Chief of Continuum. Thank you for listening to Continuum Audio. Be sure to visit the links in the episode notes for information about subscribing to the journal, listening to verbatim recordings of the articles, and exclusive access to interviews not featured on the podcast.  Dr Albin: All right, welcome all. For the first time ever in the history of Continuum Audio, we are coming to you live from Chicago here at the AAN annual meeting. And now over to your host, the one and only editor-in-chief, Dr. Lyell Jones.  Dr Jones: Welcome, everybody. My name is Lyell Jones, editor-in-chief of Continuum, and I'm here today with Dr. Karin Johnson, and we're interviewing Dr. Johnson for the upcoming and recently published issue of Continuum on Sleep Neurology. We have been doing Continuum Audio for a while, but we're doing something different this time. As our listeners online can tell, we are recording this for the first time ever with a live studio audience at the American Academy of Neurology annual meeting in Chicago, Illinois. So, this is a fun experience for us. I hope it's been fun so far for you, Dr. Johnson.  Dr Johnson: Great to be here.  Dr Jones: It's great to have you. So, before we get into the interview, I do wanna introduce our team here for the live recording of the podcast. You've already heard Dr. Casey Albin's voice. Dr. Casey Albin is an associate professor of neurology at Emory University. Also serves as one of our associate editors at the journal and one of our Continuum Audio interviewers. So, she's going to be working the crowd today. Let's have a round of applause for Dr. Albin. And our guest of honor today is Dr. Karin Johnson. Dr. Johnson is a professor of neurology at UMass Chan Medical School and, Baystate Medical Center in Massachusetts. She is a world-renowned expert in sleep neurology and is the guest editor for the most recent issue of Continuum on Sleep Neurology. Dr. Johnson, welcome. Why don't you introduce yourself to our audience?  Dr Johnson: You did a great introduction, but I'm a clinical sleep medicine specialist. Spend my days seeing patients, taking care of people with narcolepsy, sleep apnea, restless legs, everything that comes my way. And then I have a side interest in doing sleep medicine advocacy, especially for permanent standard time.  Dr Jones: And we may get to that. I mean, that might be part of our conversation today. So, you've now read all of the articles in this issue, and it's a really great issue. There's a lot of new developments in sleep neurology. There are some updates for clinicians, people who see patients with sleep disorders that I think are, are timely and important updates. You have this unique view because you have just read all of these articles, really good articles by expert authors. When you read through these, Dr. Johnson, what was the biggest, what was the biggest thing that surprised you?  Dr Johnson: I think the biggest surprise for me is just so many changes in, in all of these articles. I realized how easy it was for us to make a journal that is so different from a few years ago. Whether it's Dr. Stahl's obstructive sleep apnea and new ways to think about endotyping sleep apnea that is gonna have treatment implications or the new treatments that are out there like tirzepatide, the changes that we're having with restless leg treatment. I particularly wanted to have a chapter on circadian neurology that Dr. Abbott did a great job really highlighting how if we think about the timing of when we give meds, the timing of when we eat, how that really can help neurological health, brain health, overall health, as well as mental health and cognition, especially as the AAN thinks about brain health as a whole, not just treating our patients, but how we can treat the population of people by improving sleep. I like how we hit on all these different areas in this issue.  Dr Jones: And I don't know how you managed to do it. They're just a small number of articles. We cover a lot of existing territory with well-characterized diseases, with new advances. But there's a lot of new stuff in sleep, and so somehow, it's all packed in there. It's really impressive. One of the things I was gonna ask you about was an evolution, and this has been a number of years now in how we manage restless leg syndrome. When I was training, it was all about dopamine agonists, and that was your first line. And over time, the evidence has supported moving away from that, and now we have more recent guidelines that have come out, and it's really the alpha-two delta-one calcium channel antagonists. How is that transition going? Do you still see people in practice who come in on dopamine agonists? How is that going? How's the field responding to that?  Dr Johnson: That's one of my most frequent restless leg consults. So even though it's been years since I have really initiated dopamine agonists in my patient, every day we get in people often on very high doses of dopamine agonists, and their doctors have just been escalating and escalating these meds over the years, and they come in with horrible augmentation. Their symptoms are much worse than they used to be, happening earlier in the day. And so, trying to get these patients off of these meds that are addictive, the way I like to teach about it is these dopamine agonists are the Fioricets of the sleep world. We know they work great, but in the long run, the patients are gonna be worse overall. And so, it's so hard to get people off these dopamine agonists, just like it's so hard to convince a headache patient that they don't need their Fioricet and that they're gonna be better off if we can get them off of it. What I think has really changed is we have more options to use. So, the alpha-delta-like agonists like gabapentin are now considered first line, but there's a lot of patients who they just don't work well enough with or they don't tolerate. And so, what do you do in that case? It's easy when that works, but and, when that doesn't work, we are being much more aggressive these days with iron replacement, potentially even trying to push ferritin levels in refractory patients up to three hundred, and using IV iron rather than just oral iron to get over the absorption issues to get the brain levels high enough. Motor stimulators, little cuffs that kind of go around the leg and stimulate the peroneal nerve in a certain way that not only can give people immediate relief, but also some data that suggests that over time it actually lessens their restless legs. We have agents like dipyridamole that work on the adenosine system in a sort of new novel pathway at addressing restless legs. And then the opiates, often meds like methadone or Suboxone can be used in some patients. But as we're getting more of these other options, often we don't need to go to those levels because we do have more to work with.  Dr Jones: So, the key point is lots of options. We're not starting with dopamine agonists anymore. And I think the fact that you're still seeing a lot of patients who have been initiated on that probably tells us there's an education gap field that we need to work on. So, another thing that I noticed reading through the issue was, and this feels like a change over the last few years, is the availability and the tendency to use in-home sleep apnea testing as opposed to formal, traditional in-lab. And that feels like a great new option, and maybe that increases and improves availability for patients who need access to the test. But how do you work through that?  Dr Johnson: So, I love in-home testing. We've been using it for over a decade. Other parts of the country where insurances didn't sort of mandate it are now being more mandated. I think the real change happened for a lot of places over the pandemic when labs closed down. But I think it's good because it brings a lot more patients to us. They get tested, they get tested quicker. People who would say, "I would never go into a lab. Oh, I'll do a home study." So, it just does bring more people in, and it gets them to treatment that they need that can really be life-changing. But it's not for everybody. The biggest people are people that have other bad pulmonary issues. If you're on oxygen therapy, you should not be getting a home study. That really should be a group of people that come in the lab. Similarly, if you have bad COPD, you probably should be getting a full in-lab study, so we can get more monitoring. Central sleep apnea is an interesting one. It can be very hard in some cases to differentiate the centrals and obstructive nature as well on a home study. Doesn't mean you can't do a home. So, if it's a person that just can't get an in-lab study easily, maybe you start with the home. If it looks purely obstructive, and you're all set, then you got an answer, and you can move on. But if you get back a home study that looks questionably central, they're gonna need to come into that lab. So, if you already know they're high risk because they're on narcotics, cause they have congestive heart failure, it's usually worth going straight to the lab. But again, you may consider a home study based on the patient. Patients that really cannot use the equipment can also be an issue. So, if they've had a debilitating stroke and have no one to help them put on that device, or cognitively they just can't handle the device, they're gonna be someone who's gonna benefit from coming into the lab and getting the help from the techs. So, those are the big populations that you might go starting for a home. And then the other thing that confuses a lot of people, the home is only for diagnostics. It really isn't for treatment. So, I have patients that say, "Oh, like, you can just titrate my CPAP with a home study." No. So if it's a treatment decision where they're not doing well on treatment, or I need to figure out do they need CPAP or BiPAP or IVAPS or one of these more complicated treatments, those are people that are gonna need to come into the lab to get that treatment portion of the evaluation.  Dr Jones: What a great summary. That's like everything I needed to know about who do I need to bring into the lab and who do I think maybe could do an at-home study. Really great. And speaking of devices, I think all of us who see patients in the room here and our listeners out there online have experienced patients, and this feels like a very recent phenomenon to me, are coming in with their commercial at-home wearable device. And they have printouts sometimes, and they show me their phone, and they give me some numbers that I don't really know how to interpret. Reading through this issue, I learned a couple of great new words. I learned about orthosomnia, right? So, people who become so preoccupied with their sleep, it keeps them awake at night, literally, right? I mean, it's a complete paradox. I learned about nearables, so things that aren't necessarily wearables that are just in the room while the patient is sleeping that monitor proxies for sleep quality, sleep stage, and other things. And I frankly, I'm not really sure what to tell patients. So, what do you tell patients who come in with all the data? Like, or how do you tell patients to use these?  Dr Johnson: I think these devices can go both ways. So, I do kind of say the pros and cons of these devices. I think for a lot of patients, they're empowering. It's getting them to think about sleep, to wanna know how good their sleep is. Are they getting enough sleep? So, if it's used in those ways, it's gonna be very helpful. I actually had a patient last week, and they noted that they're having big desats all night and could show me essentially an overnight oximetry data rather than me having to order it, and I had days of data, which sometimes can be too much. But in this case, it's like, oh, when he was on his side that night, he looked a lot better, so I can use that to give advice to the patient about particular treatments. He actually went down to Mexico, and a doctor friend gave him oxygen therapy while he was there randomly. And we could see on the nights that he had the oxygen therapy, it did really help his central sleep apnea pattern. And so that pushed us towards saying, "Let's qualify you for that up here in the States." So, I think in some cases it can give really important data. Now, I saw a posting on social media the other day of someone saying, "Can I get advice on how to improve my REM sleep? My tracker says I have no REM sleep, and I need to do something about it." There's really not data to support needing to do something about it. And so, I do think it can get some people on these wild goose chases, trying to get to a certain percentage of sleep. And these trackers, they're good in a lot of ways, but they're not perfect. He could be getting REM sleep that the tracker on him does not show. You want to relate it to what symptoms are they having. I think they can be very good for trying something out. So, let's say someone, has their tracker telling them they get five hours of sleep, and they try this intervention, and that helps them show that they got the seven hours of sleep, or they went from no REM to REM and it goes in the right direction. It can help give them that positive feedback that something they're trying, is working. But the absolutes for any given patient, it's hard to over-- What does it mean if it says you've got a 50% score versus a 70% score? That may or may not be meaningful in any given person, but again, they can compare themselves to themselves. If they were a lower score and now they're a higher sleep score because they did something that was meaningful, and that goes along with them feeling better, that can help give them that positive feedback to do something good.  Dr Jones: So, a little bit of a mixed picture.  Dr Johnson: Yeah.  Dr Jones: Sometimes they help. Sometimes they distract. Hopefully- Dr Johnson: And as a provider, sometimes it can be overwhelming because they're like, "Come look at my year's worth of data." And you're like, "No."  Dr Jones: Yeah.  Dr Johnson: You know, let me see one page or two pages of data and be like, "Yep, okay, I get it." Dr Jones: Just show of hands in the audience, who in the room wears a sleep device at night, like a ring or a, some kind of sleep monitoring app? That's about half the audience.  Dr Johnson: This is why they're here.  Dr Jones: So that's really helpful, and I think it is. You want to be supported by the data. You want to be supported by evidence and high-quality biometric evidence. Another big trend, and this has been a number of years in the making, is the understanding, Dr. Johnson, of the relationship between sleep physiology and neurodegenerative disease. One of the things I love about neurology is there's still so much left to learn about the normal physiologic functioning of the brain. So glymphatics and other aspects of sleep physiology that we didn't know about a decade or two ago. When you think about how that relationship has developed, sleep physiology, maybe sleep disorders and neurodegenerative disease, how has that changed your approach to talking to patients? Do you counsel patients differently now because of what we understand better about that?  Dr Johnson: Yeah, I mean, we are still limited with our data. We have so many studies that show the associations between whether it's not enough sleep, too much sleep, or having a sleep disorder like obstructive sleep apnea, and that being a risk factor for stroke or Alzheimer's or Parkinson's. But we still sort of lack the treatment trials that necessarily say, "If you treat obstructive sleep apnea, you're gonna have less dementia," or, "You're gonna be less likely to have that stroke." So, we have a lot of physiological studies, a lot of reasons why it makes sense, but we don't have that final, nail in the coffin to say, "If you do this, you'll definitely be better." So, we know certain groups are more at risk. If you have obstructive sleep apnea and you are symptomatic, you seem to have higher cardiovascular risk. If you have a person who's had a stroke and we find a milder case of sleep apnea, and they're someone that's totally asymptomatic. They say, "I sleep fine. I feel fine." There's not great data to say, "If you treat your sleep apnea, you're gonna be less likely to have a stroke." Now, if they come in and they're sleepy and their sleep apnea is really severe, and they have more hypoxic burden, which is also more connected with a lot of these risks, I'm going to say, "I think you are in the higher risk group of sleep apnea people who it's probably gonna be more likely to help your cardiovascular risk, your dementia risk." We can counsel them, and then it's really a personal decision. Some people are like, "No way. I'm never gonna use a CPAP machine, ever." And other people are like, "You know, my mom had a stroke. My dad had Alzheimer's. I want to do every possible thing I can to make it less likely that I have this outcome that I want to avoid." And so, you're going to take that in to, you know, do you want to try this treatment or not? It's a lot easier when you have outcomes that you can follow, like, "If I try CPAP, does my blood pressure get better? Do I stop having AFib attacks?" It's a lot harder when, will I or not get Alzheimer's ten years down the road or have that stroke?  Dr Jones: It's hard to get people to do things for kind of an abstract prevention down the road, but could be important. Are there trials going on that are going to assess this data?  Dr Johnson: Yeah. We currently have a big trial getting people right away, right after their stroke, on CPAP, and not only looking at prevention, but also looking at recovery outcome. It's been running for several years. Hopefully, we'll get enough data to close out the study coming up.  Dr Jones: We'll look forward to that.  Dr Johnson: Yeah.  Dr Jones: So, I'm really excited to get to our audience here, but before we do that, I do want to ask Dr. Johnson one more question. Dr. Johnson is famous for her advocacy for sleep in general, but specifically related to Standard Time. So, let's do a little experiment here. I didn't warn Dr. Johnson about this, so we'll see how she does. She does a ton of advocacy. She's a pro. So, pretend like we're in DC, and I'm a senator, and we just got in an elevator. You're going to give me your elevator pitch on what we should do.  Dr Johnson: So, you know, sleep is one of the few essential things in life. We need to eat, we need to drink, we need to have clean air, and we need to sleep and when we improve sleep, we can improve basically every outcome, whether it's academics, whether it's productivity, whether it's our physical health, our mental health. And the problem is we structure our lives in a way that really keep people, and especially our teenagers, from getting the sleep they need. And one of these structural things we do is permanent daylight savings time. Essentially, what you're doing is you're putting the sun out later, makes it harder to go to bed. I was just talking to someone, the sun's going down at 9:00, and you need to get your kid to sleep at 7:30, 8:00 so they can get the amount of sleep they need. That is almost an impossible task because their circadian rhythms are being pushed later, they can't fall asleep on time. Then you're setting their clocks an hour earlier, so when that alarm clock is going off at 6:00 AM in the morning, it's actually 5:00 AM in the morning. You're squeezing sleep from both sides, and it's basically impossible to get enough sleep. A lot of people think the only problem with daylight savings time is twice a year with the changes, and there are certainly harms related to that. So, a lot of people think if we went to permanent daylight savings time it would be better, and we got rid of those changes. What they don't realize is that permanent circadian misalignment by setting the sun more ahead, at 1:00 to 2:00 instead of at noon causes the sleep and circadian disruption all year round that leads to increased incidents of strokes, of heart attacks, of obesity, of cancer, of suicides, of depression, of worse academic grades. Again, pretty much every outcome you have there that relates to brain health, we have now data that shows that it's worse. And so, we can improve our lives if we can go to permanent Standard Time.  Dr Jones: You convinced me. How about that? If there were any skeptics in the room, I doubt there are any left. We only went to like the fifth floor there, and she... I'm like, "I'm voting for this. Whatever, whatever this bill is, I'm gonna vote for it." So, I'm excited to get to the audience here. Before we get to questions and answers, and we want you to get your questions ready for Dr. Johnson. I do have a couple of trivia questions. And we've been doing this for a little while now on the podcast. The first trivia question actually relates to arts and culture.  Dr Jones: What famous artist used transitions between sleep and wake states to inspire his art? Anybody know?  Guest Speaker 1: Is it Van Gogh?  Dr Jones: Not Van Gogh that I know of. There in the back.  Guest Speaker 2: Picasso.  Dr Jones: Picasso, not that I know of. Right here.  Guest Speaker 3: Salvador Dali.  Dr Jones: Salvador Dali. We have a winner. Thank you for your answer. So apparently, I read this. Salvador Dali would sit in a chair holding onto a metal key and wait until he fell asleep, and it would fall out of his hands and drop into a bowl, and it would wake him up. So, then he would pick it back up, and he would go in and out of sleep trying to generate hypnagogic hallucinations, basically, and he would use that to inspire his art. And you think about his art, maybe that kind of makes sense. All right, now I've got a neurology trivia question. Okay, so maybe we're a little more comfortable with the neurology trivia in here. What is the center in the brain that is responsible for REM sleep atonia?  Guest Speaker 4: The receptor is for erection in the lateral hypothalamus.  Dr Jones: That is not correct. REM sleep atonia. Right here.  Guest Speaker 4: Emilio Malgona, Hyannis, Massachusetts. Dorsal raphe nucleus.  Dr Jones: We'll give you credit for that. Very good. Excellent. So, the-  Dr Johnson: Well, no. That's actually the serotonin. He's talking about another one.  Dr Jones: Oh, I thought I heard, I thought I heard-  Dr Johnson: You heard dorsal  Dr Jones: ... I heard dorsolateral tegmental nucleus of the pod.  Dr Johnson: Not quite.  Dr Jones: You get a prize anyway, sir, just for, just for answering. Thank you very much. All right. So, we're all warmed up here. So, Dr. Albin, what do you think? Should we get some questions from the audience?  Dr Johnson: All right, we've got some questions.  Guest Speaker 5: I have a statement and a question.  Dr Jones: Please tell the podcast your name again, sir.  Guest Speaker 5: Steve Spar, New York City. The tyranny of the morning people. You don't want people, you don't want the sun to go down too late because it'll keep people up longer. I spent my whole life fighting people like you. I am a nighttime person. Why do I have to go to sleep earlier? I want to go to sleep later. I want to wake up later. I don't want to wake up at 7:00 in the morning. I want to wake up at 10:00. There's a certain tyranny that we must use circadian rhythms of the majority, and it persecutes people like me who are night people.  Dr Johnson: So that is a great question.  Guest Speaker 5: What say you?  Dr Johnson: What say me is actually the harms of daylight savings time are actually to the night owls, and don't really affect the morning people. I can still go to sleep on time and get up on time without that pressure of needing to go to work. The night owl people, they can't fall asleep until later. They want to sleep in earlier, but we're forcing them to get up an hour earlier for work and school. And because we're doing daylight savings time, you're not getting the morning light you need, you're getting too much light at night, and you are more sensitive to a delay in your circadian rhythm, which makes you even more of a night owl and increase the degree of social jet lag. So, we actually see that the harms and risks of things like depression, cardiovascular risks are much greater in night owls than they are in normal people or morning larks. And this is again why the risks are the highest for our teenagers, who are essentially all night owls. You're making it harder for them to fall asleep on time. You're making them more and more of a night owl that it becomes more out of line with our standard social schedule. So, what we can do for a night owl is say to our schools, say to life that we want to change our society norms of getting up early. But that has nothing to do with daylight savings time. That has to do with how we make our schedule Dr Jones: All right, next question. And introduce yourself to the audience.  Guest Speaker 6: Sure. I'm Sanjay Rathi from New Haven area, Neurology. Movement disorders, Parkinson's disease, sleep disruptions, sleep-regulating REM, RBD issues, what are your recommendations? And as things get worse, what additional intervention should we do?  Dr Johnson: Yeah, I think it's hard with a lot of our neurodegenerative disorders, it's a two-way sleep. The disorders themselves often worsen sleep quality, have decrease in their sort of circadian amplitudes, and so that can affect sleep ability. And so, trying to do the things that promote sleep, like getting lights down in the evening, keeping things dark and quiet, doing cognitive behavioral sort of therapies if that's needed can all be helpful. Very high incidence of obstructive sleep apnea or other sleep-disordered breathing, whether it's Parkinson's or other neurodegenerative disorders, so evaluating and treating that if need be. And some of these people, especially as they get later on, you may end up considering medication for insomnia because their underlying disorders was causing it and there's, and you're not going to CBTI your way out of it. We do have the new orexin antagonist sleep agents, which are more recommended for older people and probably safer agents than your Z drugs and some of the other sleep meds out there. So, some people should be on some of those meds if their sleep is so disrupted. I've seen some sleep studies where it's basically like wake, sleep, wake, sleep, wake, sleep all night long. And it's like, wow, you really cannot sustain sleep, and we think it's not just a behavioral thing. I think it is part of their underlying Parkinson's and underlying disorders that can really cause major sleep disruption.  Dr Jones: It's a great question. Before we get more from the audience here, Dr. Albin, I'm just curious, you know, you got some questions from online. Don't know if any of those stood out to you. And the other thing is, I think about your practice, Dr. Albin, as a neurointensivist, there's some great content in this issue on how to maintain an adequate sleep environment in the hospital and the importance of that for the acute episode, maybe for some long-term outcomes. When I was reading the article, I didn't really didn't think about the ICU setting. That must be-- what do you do in the ICU?  Dr Albin: Well, we happen to have a question about just that. Dr Jones: Well, there you go  Dr Albin: From Dr. Manners of Baltimore, Maryland. "What meds should I be giving patients in the ICU or the inpatient setting to preserve or recalibrate their sleep-wake cycles? Is there anything that we can do besides just getting them out of bed during the day?"  Dr Johnson: Meds are always hard cause as sleep doctors, we're usually the last one to recommend meds. But there are situations and scenarios where meds may be appropriate. I can't say what's one better than the other, and some of the meds we have probably aren't even available as options in the hospital. So, the, you know, again, the orexin antagonist may be a good class to try to use, but they may not be an option. There was a good study that looked at empowering the patient and whether or not the ICU patients are empowerable. But they give a card to the patients in the hospital and say, "Tell your nurse to turn off my TV and my lights. Do I need all the blood draws all throughout the night, or can it be put off to the morning?" And trying to empower the patient to ask for these things and do some of the behavioral things. And they found that doing that did improve the duration of sleep, did reduce some of the number of awakenings that people ended up having at night. So, I think the ICU is a very particular population where there's a lot of things you can't get rid of. But certainly, turning on the lights, turning off the lights, and trying to limit noises as much as you can, in those night hours, trying to give some sense of a 24-hour day. The other thing is feeding is really important to circadian rhythms. I had a patient that had a brain bleed and, after it, she just her circadian rhythms were just off, and part of it was she was getting tube feeds through the night. So, one of the very first interventions we did was to move her timing of her feeding so that it wasn't in sleep, and that really did help make a difference in getting her back on a pattern, along with light therapy and other behavioral techniques as well.  Dr Jones: It's a great question.  Dr Albin: Absolutely. I mean, I think that validates just that we spend a lot of time actually asking like, "Can we feed people during the day?" Or, "Can we, can we limit the amount of baths that are happening at 3:00 in the morning?" We also had another one from the audience that came from Dr. Lavina Singla of Mississippi, and I think a lot of our patients are asking this question. Is melatonin addictive?  Dr Johnson: Is melatonin safe? Is melatonin addictive? I think with any sleeping aid, people become addictive to what they perceive is the outcome. So, if they said, "This got me to sleep, and now I'm sleeping great, I don't want to come off of it." And so, you get this to meds that are truly addictive, but even meds that aren't felt to have that addiction, there is certainly a behavioral change. And that's a lot of what cognitive behavioral therapy is working with these patients on, is challenging that belief of maybe it isn't the med, maybe it's your internal belief and your worry about doing this. One thing about sleep is sleep happens when you are relaxed and calm and not worried. When you're worried about thinking that thing you're worried about is whether or not you're getting sleep, then you don't sleep. In terms of melatonin, if you don't need to use it, I wouldn't use it. If you are gonna use it, I'd try to use as low doses as possible. Do we know all the risks? We don't know. And especially I think there are potentially more risks in a growing child than, maybe someone who isn't having the same sort of hormonal, needs and growth needs. But then again, if you have, let's say, a kid with autism and melatonin helps him sleep, I'd much rather use melatonin than a lot of other agents, and if that really changes their functionality, that probably is very good for them and better than having them not get sleep. So, I think you have to weigh each individual situation and combine it, especially with the behavioral approaches so that hopefully this is not a long-term addictive thing you're on.  Dr Jones: So, it's complicated. Sounds like it.  Dr Albin: Not a straightforward answer.   Dr Jones: I thought that was gonna be just this hard no, but I guess it is something you have to think about. So, I want to really take a minute here to thank Dr. Karin Johnson, who has been our interviewee for this episode of the Continuum Audio Podcast sleep issue just came out. Really want to encourage our subscribers, our listeners, and our studio audience here to enjoy it. Thank you, Dr. Johnson, for joining us today. I want to give a big round of applause to Dr. Casey Albin for managing this crowd. Thank you to our listeners. Thank you to our subscribers. Thank you to you all for coming today.  Dr Monteith: This is Dr. Teshamae Monteith, Associate Editor of Continuum Audio. If you've enjoyed this episode, you'll love the journal, which is full of in-depth and clinically relevant information important for neurology practitioners. Use the link in the episode notes to learn more and subscribe. Thank you for listening to Continuum Audio.   

*Audio only here.  all video clips: nutshellsermons.com@nutshell_Sermons_Videos 

Why do women pick the bear? The answers might shock you, but they highlight deep-rooted truth about safety, trust, and male insecurity in modern dating.In this episode, we break down the viral "Man vs. Bear" debate, reveal the major red flags and signs of an insecure man, and dive into what women wish men actually understood about relationships today.Topics:- Why Women Pick the Bear (The Shocking Truth)- What the "Man vs Bear" Debate is ACTUALLY About- Top Signs of an Insecure Man in a Relationship- Controlling Behaviors & Trust Issues Disguised as Love- What Women Want Men to Know (Advice for Modern Men)- Final Thoughts & Community Discussion

n Episode 293 of the Moonshots Podcast, Mike and Mark dive into Albert Read's inspiring book The Imagination Muscle to explore why imagination isn't an inborn gift—it's a muscle that grows stronger with deliberate practice.Together they unpack how the world's greatest creators develop original ideas, why boredom may be one of your greatest creative assets, and how adopting a beginner's mindset can unlock fresh thinking. They also discuss practical exercises to strengthen your imagination, overcome fear, and make creativity part of your everyday life.If you've ever felt stuck, uninspired, or convinced that you're “just not creative,” this episode offers a refreshing perspective—and a practical roadmap—to help you think differently and create with greater confidence.Primary Website: https://www.moonshots.io/Book: The Imagination Muscle by Albert ReadBuy on Amazon: https://geni.us/TsrReYWatch on YouTube: https://youtu.be/-bZ3cn7rCVw⸻Key Themes* Imagination is a skill that can be trained.* Great ideas come from combining diverse sources of inspiration.* Creativity flourishes when we deliberately make time for quiet thinking.* A beginner's mindset helps us escape routine and discover fresh perspectives.* Social media and constant stimulation can limit original thinking.* Fear is one of the biggest obstacles to creativity.* Small, consistent creative habits compound into lasting growth.⸻Concepts & BreakthroughsImagination Is a MuscleAlbert Read reframes creativity as a practice rather than a personality trait. Like physical fitness, imagination strengthens through regular use. Mike and Mark reflect on how this simple shift removes the pressure of waiting for inspiration and replaces it with consistent action.Collect Better InputsThe episode highlights that creative breakthroughs often result from unexpected combinations of ideas. Picasso, Aaron Sorkin and other creative masters all developed unique rituals for gathering inspiration before producing original work.Rather than searching for one brilliant idea, listeners are encouraged to become collectors—of books, conversations, observations and experiences—that can later combine into something entirely new.Protect Space for ThinkingModern life is filled with interruptions, notifications and endless streams of information. Albert argues that imagination needs space to breathe.Mike and Mark discuss creating intentional moments of quiet through walks, uninterrupted mornings, observation exercises and even scheduled boredom—allowing the mind to connect ideas naturally.The Power of the Beginner's MindExperts often become trapped by familiar thinking. Approaching problems with curiosity instead of certainty creates opportunities for innovation.Reading outside your normal interests, asking simple questions and deliberately seeking unfamiliar experiences all help develop fresh perspectives.Courage Before CreativityOne of the episode's strongest insights is that imagination grows alongside courage.Every sketch, poem, voice memo or imperfect idea strengthens resilience against fear of failure. Rather than waiting until ideas are perfect, creative confidence develops through repeated attempts and experimentation.⸻Habits, Tools & Mental Models* Treat imagination like a daily workout.* Collect ideas, quotes and observations in an idea bank.* Schedule periods without digital distractions.* Go for curiosity walks with the goal of noticing something new.* Read outside your usual genres and interests.* Combine two unrelated ideas to generate fresh thinking.* Use voice notes or journals to capture ideas immediately.* Practice one small creative act every day.* Embrace boredom instead of filling every quiet moment.* Ask beginner's questions, even when you think you know the answer.

The fastest-growing dessert brand is Van Leeuwen ice cream… because a pint is not a solist, it's part of an orchestra.Reddit is considering removing itself from Google… because of Zero-click searches and Google Zero.Gen Z has saved 3x more than Gen X at the same age… so Jack shares his 401k balance.Plus, LeBron James took a huge paycut to bring his talents to Philadelphia…Submit your “Best Comeback Yet” for a chance to be featured in a special episode presented by our friends Liquid IV thebestcomebackyet.com. $RDDT $GOOG $ULGrab your Tickets to the IPO Tour: Our In-Person OfferingSan Francisco 9/23: https://www.ticketmaster.com/event/1C0064AFB5F688BDBoston 10/14: https://tickets.citywinery.com/event/tboy-the-ipo-tour-in-person-offering-8cdhupSeattle 11/4 (21+): https://www.axs.com/events/1446394/the-best-one-yet-ticketsNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

Check out the episode in its original version here : https://www.gdiy.fr/podcast/robert-gentz-vo/C'est le plus gros e-commerçant d'Europe, juste derrière Amazon.Et tout a commencé avec des tongs.Robert Gentz fonde Zalando en 2008.Avec son associé, ils testent le marché en vendant des tongs en ligne.Le succès est immédiat, alors ils décident de lancer un vrai site e-commerce pour élargir leur offre à tous les styles de chaussures.La croissance qui suit est hallucinante : 6 millions d'euros de chiffre d'affaires la première année, 160 la deuxième et 500 la troisième.Aujourd'hui, Zalando réalise 20 milliards d'euros de volume d'affaires dans 29 pays.Mais l'Europe n'est pas un marché facile.Robert l'a appris à ses dépens quand une publicité télé aux retombées phénoménales en Allemagne est devenue à l'unanimité « la pire publicité » des Pays-Bas, quelques mois plus tard.Un seul continent, mais des réactions complètement différentes.Construire à grande échelle en Europe c'est s'attaquer à 29 marchés différents et chercher en permanence à comprendre 29 psychologies de consommateurs différentes.Dans cet épisode, Robert révèle :Pourquoi la fragmentation de l'Europe est le plus gros obstacle et la plus grosse force de ZalandoLa raison pour laquelle les retours gratuits augmentent la valeur des commandesPourquoi Zalando construit ses propres technologies plutôt que d'acheter des solutions existantesComment l'intelligence artificielle est déjà en train de réécrire les règles du e-commercePourquoi il a refusé une cotation aux États-Unis, et ce que ça dit de l'avenir de l'EuropeUn regard rare à l'intérieur d'une entreprise qui a prouvé que l'Europe peut construire à l'échelle mondiale, et ce qu'il faudra faire pour recommencer.Vous pouvez contacter Robert sur LinkedIn.Le code GDIY15 vous permettra de bénéficier de 15% de réduction sur Zalando dès 50€ d'achat jusqu'au 31.07.2026 à 23h59.TIMELINE:00:00:00 - Le test des tongs avant de construire un empire de la chaussure 00:12:06 - Le livre qui a façonné Zalando 00:19:38 - Construire ou acheter : quand posséder sa propre technologie ? 00:30:24 - "L'Europe est le marché le plus difficile au monde" 00:40:58 - La plus grosse erreur depuis la création de Zalando 00:53:11 - Pourquoi la puissance des États-Unis surpassent l'Europe 01:00:31 - Le plus grand retailer d'Europe après Amazon 01:10:12 - Le guide de lancement pour ouvrir un nouveau pays 01:19:03 - Démocratiser la mode à travers l'Europe 01:28:54 - Pourquoi la mode reste l'un des secteurs les moins efficaces 01:36:43 - "90 % de nos publicités sont générés automatiquement par IA" 01:47:41 - Pourquoi choisir la bourse de Francfort plutôt que le Nasdaq 02:01:52 - "Seule la vitesse compte à l'ère de l'IA"Les anciens épisodes de GDIY mentionnés : #496 - Sébastien Kopp - VEJA - Faire du business autrement#487 - VF - Anton Osika - Lovable - Internet, Business et IA : rien ne sera jamais plus comme avant#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#311 - Pascal Meyer - QoQa - Vendre un Picasso à sa communauté : quand l'e-commerce n'a plus de limite#81 - Jacques Antoine Granjon - Cofondateur VEEPEE - l'aventure, l'hypercroissance, les marques et l'instinct#11 - Sébastien Kopp - VEJA 2/2 - Réussir dans la mode en préservant le monde#10 - Sébastien Kopp - VEJA 1/2 - concurrencer Nike et Adidas avec du Développement DurableNous avons parlé de :Fort KnoxSalesforce CRMAmazon Web ServicesN8N : AI agents and workflowsyou can see and controlLovableLes recommandations de lecture :Delivering Happiness: A Path to Profits, Passion, and Purpose, by Tony Hsieh

Retrouvez l'épisode en version française ici : https://www.gdiy.fr/podcast/robert-gentz-vf/It's the largest e-commerce company in Europe, just behind Amazon.And it all started with flip flops.Robert Gentz co-founded Zalando in 2008, after his first startup left him too broke to buy a flight ticket home from Mexico.With his co-founder, they tested the market with a one-page flip flop shop in Berlin. It worked. So they built a full shoe destination on top of it.The growth that followed is hard to believe: 6 million euros the first entire year, 160 million in year two, 500 million in year three.Today Zalando does 20 billion euros in gross merchandise value across 29 countries.But Europe doesn't make it easy.Robert learned that the hard way when the TV ad that turned Zalando into a German phenomenon became "the worst ad in the Netherlands" a few months later.Same continent, completely different reaction.That's the real story of building at scale in Europe: 29 different markets, 29 different consumer psychologies, and no shortcuts around any of them.In this episode, Robert reveals:Why Europe's fragmentation is both Zalando's biggest obstacle and its strongest moatThe real reason free returns increase order value instead of killing marginsWhy Zalando builds its own tech stack instead of buying off the shelfHow AI is already rewriting the rules of e-commerceWhy he turned down a US listing and what that says about Europe's futureA rare look into a company that proved Europe can build at global scale in less than 20 years, and what it will take to do it again.You can follow Robert on LinkedIn.The GDIY15 code will get you 15% off on Zalando from €50 spent, valid until 31.07.2026 at 11:59pm.TIMELINE:00:00:00 - The flip flop test before the shoe empire 00:12:06 - Fundraising Needs a Reference Point 00:19:38 - Build vs Buy: When to Own Your Technology 00:30:24 - "Europe is the hardest market on earth" 00:40:58 - The biggest mistake Zalando ever made 00:53:11 - Why the US Out-Scales Europe 01:00:31 - Running a company is like co-parenting 01:10:12 - The Country Launch Playbook 01:19:03 - Democratizing fashion from Paris to northern Finland 01:28:54 - Why fashion is still one of the most inefficient businesses 01:36:43 - AI could turn us into a commodity 01:47:41 - Stock market : Why Chosing Frankfurt Over Nasdaq ? 02:01:52 - "Speed Is the Only Advantage That Matters in the AI Age"We referred to previous GDIY episodes : #496 - Sébastien Kopp - VEJA - Faire du business autrement#487 - VF - Anton Osika - Lovable - Internet, Business et IA : rien ne sera jamais plus comme avant#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#311 - Pascal Meyer - QoQa - Vendre un Picasso à sa communauté : quand l'e-commerce n'a plus de limite#81 - Jacques Antoine Granjon - Cofondateur VEEPEE - l'aventure, l'hypercroissance, les marques et l'instinct#11 - Sébastien Kopp - VEJA 2/2 - Réussir dans la mode en préservant le monde#10 - Sébastien Kopp - VEJA 1/2 - concurrencer Nike et Adidas avec du Développement DurableA few recent episodes in English : #542 - VO - Yoni Assia - eToro - “AI Will Replace Most Traders in 18 Months”#513 - VO - Jesper Brodin - IKEA - 40 billion in revenue empire with no bank loan#500 - VO - Reid Hoffman - LinkedIn, Paypal - How to master humanity's most powerful invention#487 - VO - Anton Osika - Lovable - Internet, Business, and AI: Nothing Will Ever Be the Same Again#475 - VO - Shane Parrish - Farnam Street - Clear Thinking: The Decision-Making Expert#473 - VO - Brian Chesky - Airbnb - « We're just getting started »#452 - VO - Reid Hoffman - LinkedIn, Paypal - L'humanité 2.0 : Homo technicus plus qu'Homo sapiens#437 - James Dyson - Dyson - “Failure is more exciting than success”#431 - Sean Rad - Tinder - How the swipe fever took over the worldWe spoke about :Fort KnoxSalesforce CRMAmazon Web ServicesN8N : AI agents and workflowsyou can see and controlLovableReading Recommendations :Delivering Happiness: A Path to Profits, Passion, and Purpose, by Tony Hsieh

Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state. This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it. Episode sponsors Sentry Error Monitoring, Code talkpython26 Talk Python Courses Links from the show marimo pair: marimo.io/pair Course transcripts announcement: talkpython.fm/blog anywidget: Jupyter Widgets made easy: talkpython.fm marimo: marimo.io blog: marimo.io GitHub: github.com given this: martinalderson.com llms.txt: talkpython.fm mcp: talkpython.fm cli: talkpython.fm open issues: github.com Discord: marimo.io Marimo Pair: marimo.io OpenCode: opencode.ai AI Tooling for Software Engineers in 2026: newsletter.pragmaticengineer.com Watch this episode on YouTube: youtube.com Episode #555 deep-dive: talkpython.fm/555 Episode transcripts: talkpython.fm Theme Song: Developer Rap