Podcasts about RY

Sociologo, kultūros kritiko ir poeto Artūro Tereškino poezijos knyga „Lipnūs kūnai“ kai kurių literatūros profesionalų vadinama reiškiniu Lietuvos literatūroje. Kaip yra iš tiesų? Apie šią išpažintinės erotikos knygą, atveriančią amžėjančio queer vyro gyvenimą bei jos reikšmę literatūros bendruomenei pokalbis su autoriumi, rašytoja ir „Šiaurės Atėnų“ vyriausiąja redaktore Egle Frank bei poete bei kritike Giedre Kazlauskaite.Šiauliuose prasideda tarptautinis festivalis „Big Band Festival Šiauliai 2026“. 17-ą kartą vykstantis renginys – vienas svarbiausių bigbendų festivalių Baltijos šalyse. Apie džiazo šventę iš „Saulės“ koncertų salės tiesiogiai jungiasi kolega Tomas Mizgirdas, kuris pakalbins festivalio organizatorę Gretę Každailytę, vieną festivalio dalyvių, saksofonininką Kęstutį Sovą ir koncertinės įstaigos „Saulė“ vadovą Vaidotą Katutį. Kviečiame ne tik klausyti, bet ir pamatyti!Atrastas tikrasis M. K. Čiurlionio skambesys, su Lietuvos istorija susijusių operų apžvalga ir populiariosios muzikos tyrinėjimai per semiotikos prizmę – tokius darbus šiemet įvertino Geriausių muzikologijos darbų konkurso apdovanojimai. Ryškiausius 2025-ųjų muzikologų darbus apžvelgia konkurso komisijos pirmininkė muzikologė Rima Povilionienė.Ved. Indrė Kaminckaitė

Bullying Ends Here: A Discussion with a School Board Member on Strategies to Combat Bullying In episode 4 of "Take Care of Your Body by Ry," Ry and school board member, Debra Hixon delve into the crucial connection between bullying and physical as well as mental wellness. Debra Hixon is an educator and at large school board member known for her advocacy for school safety and mental health awareness. Her dedication to improving school environments and supporting students' mental health, and safety has made her an important figure in the education community.By shedding light on the impact of bullying on one's overall health, the episode inspires listeners to prioritize their well-being and create a supportive environment for those around them. Through their insightful discussion, Ry and Debra emphasize the power of empathy, kindness, and understanding in fostering a healthier and happier community. Tune in to this empowering episode for valuable insights on how we can all contribute to a more compassionate and inclusive society. Introduction to RYLIN. ROSSANO - Rylin Rossano | Author| Podcaster

Bullying Ends Here: A Discussion with a School Board Member on Strategies to Combat Bullying In episode 4 of "Take Care of Your Body by Ry," Ry and school board member, Debra Hixon delve into the crucial connection between bullying and physical as well as mental wellness. Debra Hixon is an educator and at large school board member known for her advocacy for school safety and mental health awareness. Her dedication to improving school environments and supporting students' mental health, and safety has made her an important figure in the education community.By shedding light on the impact of bullying on one's overall health, the episode inspires listeners to prioritize their well-being and create a supportive environment for those around them. Through their insightful discussion, Ry and Debra emphasize the power of empathy, kindness, and understanding in fostering a healthier and happier community. Tune in to this empowering episode for valuable insights on how we can all contribute to a more compassionate and inclusive society. Introduction to RYLIN. ROSSANO - Rylin Rossano | Author| Podcaster

Caravaggio darbas „Šv. Marijos Magdalietės ekstazė“ – Lietuvoje ir tik iki birželio 30-osios eksponuojamas Valdovų rūmų muziejuje.  Birželio 12-ąją minėsime Lietuvos radijo ir viso LRT 100-metį. Šiai sukakčiai paminėti Lietuvos istorijos institutas šią savaitę surengė konferenciją „Radijo 100-metis. Erdvė. Įrankis. Scena“. Vytautas Katkus tapo daugiausia šiemet „Sidabrinės gervės“ apdovanojimų pelniusių kūrėju. Pasaulio kultūros įvykių apžvalgoje – daugiau nei 100 Venecijos bienalėje dalyvaujančių menininkų ketina imtis teisinių veiksmų, jei nebus pašalinti iš „Lankytojų liūto“ apdovanojimo, Ispanijai belaukiant popiežiaus Leono XIV-ojo vizito, šalies konditeriai sukūrė specialų desertą šiai progai, Paryžiuje dėl kilusios audros atidėtas menininko JR viešos meno instaliacijos atidarymas ant seniausio miesto tilto bei naujai išleista Prince‘o muzika.„Salomėjos Nėries ir kitų delegacijos narių anuomet atliktas performansas Maskvoje buvo tarsi referendumas, paskleidęs žinią: tai savanoriškas prisijungimas, ne aneksija“,  – sako menotyrininkė Agnė Narušytė. Ji komentare svarsto, ar poetė iš tiesų „atliko dekoratyvinę, o ne politinę funkciją okupuojant Lietuvą“?Ar XIX amžius – naujasis tarpukaris? Nors Kaune neslūgsta susidomėjimas modernizmo architektūra, smalsuoliai atranda ir XX a. judėjimus lėmusią ankstesnę epochą. Šiuolaikinio šokio šokėja Ieva Navickaitė pristatė pirmą savo autorinį pasirodymą „Stripper“, kuriame ji autobiografiškai žvelgia į dvi savo profesines patirtis – šokant striptizo klube ir šiuolaikinio šokio scenoje. „Kas vyksta vienoje ir kitoje erdvėje, kartais gali būti labai panašu, bet mes labai skirtingai tai nuskaitome. Nemanau, kad tai yra didelė problema. Ryškesnė problema yra vienos ar kitos srities nuvertinimas ar iškėlimas“, – svarsto kūrinio autorė. Ved. Marius EidukonisRed. Indrė Kaminckaitė

In this episode, we cover several major stories across AI, tech, Berkshire Hathaway, housing, and Canadian banks. We start with Anthropic reportedly moving closer to a potential IPO and what that could mean for the broader AI IPO race. We also break down the latest SpaceX IPO update, including its massive expected valuation and why investors appear to be valuing the company as much more than just a rocket launch business. We then look at Alphabet’s major equity raise and what it says about the rising cost of the AI infrastructure race. From there, we discuss Berkshire Hathaway’s planned acquisition of homebuilder Taylor Morrison and why the deal is notable under Greg Abel’s leadership. Finally, we wrap up with Canadian bank earnings, where results were better than feared, dividends were raised, capital markets helped, and credit remains the key risk to watch over the next few quarters. Tickers of stocks discussed: GOOG, GOOGL, BRK.B, TMHC, LEN, RY.TO, TD.TO, BMO.TO, BNS.TO, CM.TO, NA.TO, TSLA, SPCX Subscribe to Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Send us Fan MailRyan Ching is a Hawaii-based entrepreneur, chef, and social media storyteller who co-founded Ry's Poke Shack on the North Shore of Oahu in 2021 alongside his wife, Khannie. Originally trained as an architect with a doctorate in architecture from the University of Hawaii, he pivoted to the food industry during the pandemic. His restaurant utilizes a customized, made-to-order preparation method inspired by his grandfather's traditional techniques. This approach earned the establishment a spot on Yelp's Top 100 Local Businesses in the United States and a featured segment on Netflix's Street Food: USA series. The business has since expanded outside of Hawaii, opening Southern California locations in Huntington Beach and Pasadena.This episode covers Ryan's career transition from architectural design to restaurant ownership and the daily operational philosophy behind his fresh poke service. The conversation details the growth of Ry's Poke Shack from a single local setup into a multi-state brand, focusing heavily on its expansion into the San Gabriel Valley marketplace. Key topics include leveraging social media platforms to build brand equity, managing supply chains across different regions, and maintaining quality standards while scaling a family business model.For San Gabriel Valley viewers, this episode provides a behind-the-scenes look at a business that recently established a local footprint in Pasadena. Ryan's established audience will gain insight into the business logistics and personal motivation driving the brand's growth beyond the shores of Oahu. Additionally, individuals searching for information on restaurant expansion strategies, culinary entrepreneurship, or authentic Hawaiian food culture will find clear, practical examples of how a modern brand scales without losing its traditional foundations.Subscribe to the MySGV Podcast to stay updated on the stories, leaders, and businesses moving into the San Gabriel Valley. If you found this conversation insightful, please share the episode with a friend, neighbor, or fellow food enthusiast.You can watch this Yelp Top 100 News Feature to see the broadcast coverage of Ryan's restaurant earning its national business ranking._______________Music CreditsIntroEuphoria in the San Gabriel Valley, Yone OGStingerScarlet Fire (Sting), Otis McDonald, YouTube Audio LibraryOutroEuphoria in the San Gabriel Valley, Yone OG__________________My SGV Podcast:Website: www.mysgv.netNewsletter: Beyond the MicPatreon: MySGV Podcastinfo@sgvmasterkey.com

In this episode, we break down the latest CPP Investments annual report and why comparing CPP’s returns directly to the S&P 500 or TSX misses the mark. We discuss CPP’s 7.8% fiscal-year return, its heavy exposure to private equity, real assets and credit, and whether the high fees and complexity are justified over the long run. We also look at five Canadian stocks that could fit a “buy it, lock it away, and don’t touch it for 10 years” mindset. From railways and waste collection to royalty companies, grocers, and energy producers, we discuss which businesses may have the durability, moats, and cash flow profiles to survive and compound through different market environments. Tickers of Stock discussed: WCN.TO, FNV.TO, WPM.TO, CP.TO, CNR.TO, L.TO, CNQ.TO, ENB.TO, DOL.TO, RY.TO, BNS.TO, BAM.TO, BN.TO, CSU.TO, TRI.TO, META, NVDA, GOOGL, AAPL, MSFT, AMZN, TSM, AVGO, TSLA Subscribe to our Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Pirátské vydání MMA LETEM SVĚTEM je tady!

diffusé dans "Beau Geste" du dimanche 24 mai 2026 à 22h45 sur France 2.C'est incontestablement la star du festival de Cannes qui s'est terminé samedi. Virginie Efira décroche le Prix d'interprétation féminine pour « Soudain » du japonais Ryūsuke Hamaguchi . Elle partage à égalité cette récompense avec Tao Okamato sa partenaire dans le film où elle joue une directrice d'Ehpad qui rencontre une femme atteinte d'un cancer. La comédienne belge est également à l'affiche d'"histoires parallèles" d'Asghar Farhadi qui est déjà en salles. Qui d'autres que Pierre Lescure peut se targuer de rencontrer longuement celle qui a illuminé la quinzaine cannoise? Bonne écoute!"Beau geste" c'est une plongée au cœur du cinéma en train de se fabriquer. Menée par Pierre Lescure, Beau geste va là où bat le pouls du cinéma : en tournage, en avant-première, dans les festivals, en France comme à l'étranger, sur les films intimistes comme les comédies populaires. Pierre Lescure discute avec les artistes qui font l'actualité dans des lieux qui font sens : salles de cinéma, musées, librairies…https://www.instagram.com/beaugeste_france2?utm_source=ig_web_button_share_sheet&igsh=ZDNlZDc0MzIxNw==https://www.france.tv/france-2/beau-geste

Cannes 2026: I denne tradisjonsrike episoden oppsummerer vi årets Cannes-festival med vår danske venn og kollega; kritiker og filmredaktør Christian Monggaard i avisen Dagbladet Information. Som tidligere har vi også i år satt oss ned ved mikrofonene helt på slutten av festivalen, dagen før prisutdelingen, med Christian Monggaard – som igjen leverer sin faste åpningsreplikk «Hei på fjellet!» og setter tonen for denne humørfylte og grundige oppsummeringen av Cannes-festivalen her på Filmfrelst. Resultatet fra juryen ble som kjent offentlig på prisutdelingen lørdag 23. mai, men i samtalen nedenfor gjenstod fortsatt én festivaldag, og vi avslutter med å gjøre oss noen refleksjoner rundt hvilke filmer som kunne hevde seg når prisene skulle deles ut. (Juryen ble i år ledet av den sørkoreanske mesterregissøren Park Chan-wook). Vi får også høre Christians refleksjoner om trender og tegn i tiden fra årets festival, og diskuterer en rekke titler fra hovedkonkurransen – som betyr at vi er innom alt fra Cristian Mungius Gullpalme-vinner Fjord, Ryūsuke Hamaguchis innholdsrike drama Soudain («All of a Sudden»), Andrey Zvyagintsevs dystre Minotaur og den elleville, sørkoreanske actionfilmen Hope, regissert av Na Hong-jin. Vi deler også våre Topp 5-lister fra festivalen som helhet. Ved mikrofonene sitter Christian Monggaard, Karsten Meinich og Lars Ole Kristiansen. God lytting!

S03 E13: Girls' Room HourDrinks On Us with @rosemcmahonn & @sincerely.ryleigh. S03 E13 of Drinks On Us is an all Girls' Room episode! The girls answer listener submissions and give their two cents. Tune in for special segments including Sip & Spill, What's In Our Cart, & The Girls' Room. Sit back with your favorite beverage and relax, because the drinks are on us!WHAT'S IN OUR CART:Rose - https://liketk.it/6ebXi Ryleigh - https://liketk.it/6ebZ2 General Links - https://msha.ke/drinksonus/Join the After Party for more exclusive content! Patreon.com/DoucrewFollow Rose & Ry on Instagram & TikTok: @rosemcmahonn @sincerely.ryleighFollow @drinksonuspod on Instagram & TikTok to join the Happy Hour Club!For business inquiries: Roseandryleigh@gmail.comAudio and video podcasts edited by Penderville Films LLChttps://www.pendervillefilms.com Hosted on Acast. See acast.com/privacy for more information.

Dziennikarka, Reiko Asakawa prowadzi wraz z byłym mężem, Ryûjim Takayamą, śledztwo w sprawie przeklętej kasety VHS, która prawdopodobnie przyczyniła się do śmierci siostrzenicy Asakawy, Tomoko.Ile adaptacji „Kręgu” Kojiego Suzukiego czeka na fanów j‑horroru? Czym zajmował się Hiroshi Takahashi, zanim zaczął pisać scenariusze do filmów grozy? Na ile wiernie adaptuje materiał źródłowy? Jak Hideo Nakata radzi sobie z budowaniem napięcia? Czy śledztwo Asakawy i Takayamy wypada autentycznie? Jak oceniamy zawartość przeklętej kasety VHS? Czego (nie) dowiadujemy się o Sadako i jej mocach? Co sądzimy o Hiroyukim Sanadzie na początku jego aktorskiej kariery? W ilu filmowych liniach czasowych występuje „The Ring – Krąg” (1998) Nakaty? Dlaczego to dobry seans na bezsenną noc? Który tytuł z franczyzy prawdopodobnie omówimy jako kolejny? Posłuchajcie.

Mental Health Matters: Talking With A Psychotherapist In the highly anticipated episode two of "Take care of your body by Ry," the host Ry delves into the vital topic of mental health alongside expert psychotherapist Marilisa Lawless. With over 30 years of experience in the field, Marilisa Lawless brings a wealth of knowledge to the conversation, emphasizing the significance of addressing mental well-being. Through their engaging and informative discussion, Ry and Marilisa Lawless aim to inspire listeners to prioritize their mental health, fostering a supportive environment that encourages open dialogue and destigmatizes mental health issues for all. This impactful episode promises to empower individuals to seek help and prioritize their mental well-being, ultimately sparking a positive ripple effect in the community. https://www.threads.com/@rylinrosee?xmt=AQG0-uOCTm8g7e0mYF1Y8tFOG7ptI4o9sFtTWlSy93M_rXo

El Festival de Cannes cierra una edición histórica para el cine español con tres películas en sección oficial, con muchas coproducciones y con un balance muy positivo para nuestra industria. Los últimos en presentar su película han sido Los Javis y con ‘La bola negra' se han llevado una de las mayores ovaciones del certamen. En este episodio repasamos todo, escuchamos a los protagonistas y valoramos a los grandes contendientes para la Palma de Oro, como el rumano Cristian Mungiu, el polaco Paweł Pawlikowski, el japonés Ryūsuke Hamaguchi o el ruso Andréi Sviáguintsev. Además, os recomendamos uno de los estrenos del cine de autor de la semana, la película francesa ‘Love me tender' con Vicky Krieps, y analizamos ‘The Mandalorian and Grogu' con Pedro Pascal. En 30 minutos os ponemos al día de todo el cine y las series.

Mental Health Matters: Talking With A Psychotherapist In the highly anticipated episode two of "Take care of your body by Ry," the host Ry delves into the vital topic of mental health alongside expert psychotherapist Marilisa Lawless. With over 30 years of experience in the field, Marilisa Lawless brings a wealth of knowledge to the conversation, emphasizing the significance of addressing mental well-being. Through their engaging and informative discussion, Ry and Marilisa Lawless aim to inspire listeners to prioritize their mental health, fostering a supportive environment that encourages open dialogue and destigmatizes mental health issues for all. This impactful episode promises to empower individuals to seek help and prioritize their mental well-being, ultimately sparking a positive ripple effect in the community. https://www.threads.com/@rylinrosee?xmt=AQG0-uOCTm8g7e0mYF1Y8tFOG7ptI4o9sFtTWlSy93M_rXo

durée : 00:58:40 - Les émissions culturelles de France Culture - par : Antoine Guillot - En direct du Festival International du Film de Cannes, entre Histoire et cinéma, avec Emmanuel Marre et Bertrand Mandico, mais aussi László Nemes, Pawel Pawlikowski, Ryusuke Hamaguchi, Cristian Mungiu, et même Mathieu Macheret. - réalisation : Anne-Laure Chanel, Anne-Vanessa Prévost - invités : Emmanuel Marre Cinéaste, László Nemes Réalisateur et scénariste hongrois, Pawel Pawlikowski Cinéaste, Bertrand Mandico Cinéaste, Ryûsuke Hamaguchi Réalisateur et scénariste, Cristian Mungiu Réalisateur, Mathieu Macheret Critique de cinéma, journaliste au Monde et aux Cahiers du Cinéma Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Herečka Kristýna Ryška si v novém seriálu Inspekce vyzkoušela práci se zbraní, pohyb v prostoru i policejní taktiku. A zjistila, že je jí tento svět nečekaně blízký. „Měli jsme s Vojtou Dykem zajímavé lekce. Bavilo mě to už proto, že mám vysněnou roli. A protože je úplně utopická, tak ji prozradím: chtěla bych si zahrát Jamese Bonda,“ prozrazuje Kristýna Ryška v rozhovoru s Terezou Kostkovou.Všechny díly podcastu Blízká setkání můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.

S03 E12: Big Summer EnergyDrinks On Us with @rosemcmahonn & @sincerely.ryleigh. S03 E12 of Drinks On Us is all things summer! The girls chat about their summer goals, fashion trends, hosting tips and more. Tune in for special segments including Sip & Spill, What's In Our Cart, & The Girls' Room. Sit back with your favorite beverage and relax, because the drinks are on us!WHAT'S IN OUR CART:Rose - https://liketk.it/6duk1 Ryleigh - https://liketk.it/6dwVW General Links - https://msha.ke/drinksonus/Join the After Party for more exclusive content! Patreon.com/DoucrewFollow Rose & Ry on Instagram & TikTok: @rosemcmahonn @sincerely.ryleighFollow @drinksonuspod on Instagram & TikTok to join the Happy Hour Club!For business inquiries: Roseandryleigh@gmail.comAudio and video podcasts edited by Penderville Films LLChttps://www.pendervillefilms.com Hosted on Acast. See acast.com/privacy for more information.

Getting To Know Ry: A Personal Introduction In the debut episode of the take care of your body Podcast, join host Ry (Rylin) as she opens up about her journey of transforming pain into passion. Through heartfelt storytelling and candid reflections, Ry shares the pivotal moments and the people that have shaped her into the person she is today. From overcoming personal challenges to finding inspiration in unlikely places, this episode is an intimate exploration of resilience, growth, and the power of turning adversity into purpose. Tune in to discover how one woman's story resonates with the universal themes of strength, healing, and self-discovery. Introduction to RYLIN. ROSSANO - Rylin Rossano | Author| Podcaster

Getting To Know Ry: A Personal Introduction In the debut episode of the take care of your body Podcast, join host Ry (Rylin) as she opens up about her journey of transforming pain into passion. Through heartfelt storytelling and candid reflections, Ry shares the pivotal moments and the people that have shaped her into the person she is today. From overcoming personal challenges to finding inspiration in unlikely places, this episode is an intimate exploration of resilience, growth, and the power of turning adversity into purpose. Tune in to discover how one woman's story resonates with the universal themes of strength, healing, and self-discovery. Introduction to RYLIN. ROSSANO - Rylin Rossano | Author| Podcaster

Im zweiten artechock-podcast von den Filmfestspielen in Cannes ziehen Rüdiger Suchsland und Christoph Petersen (Chefredakteur von Filmstarts) eine Halbzeitbilanz der Filmfestspiele. Sie sind sich einig über den besten Film, über Volker Schlöndorffs Jenny-Erpenbeck-Verfilmung "Heimsuchung" und über generelle Tendenzen des Jahrgangs. Aber über einen Film streiten sie: "Fjord" , der rumänisch-norwegische Film von Cristian Mungiu und über die Fragen: Welcher Fundamentalismus ist besser? Und wann schadet Toleranz der demokratischen Gesellschaft? Außerdem streifen sie noch den neuen Film von Nicholas Winding Refn und "Soudain" von Ryūsuke Hamaguchi.

durée : 00:27:55 - Les émissions culturelles de France Culture - par : Lucile Commeaux - Au programme de ce débat critique spécial Cannes, trois films japonais : "Soudain" de Ryûsuke Hamaguchi, "Sheep in the Box" de Hirokazu Kore-eda et "Quelques jours à Nagi" de Kōji Fukada. - réalisation : Laurence Malonda, Boris Pineau, Aïssatou N'Doye, Jules Barbier, Zohra Vignais, Lise Ripoche, Mathi Adjinsoff - invités : Charlotte Garson Rédactrice en chef adjointe des Cahiers du cinéma, Josué Morel Rédacteur en chef de la revue Critikat Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Nous sommes, ce 18 mai 2026, au cœur du Festival de Cannes qui est un formidable moyen de prendre des nouvelles du monde et de prendre la température de nos sociétés… Et c'est ce qu'on va faire ce soir avec à l'affiche des films très forts et très politiques… HISTOIRES PARALLÈLES, du réalisateur iranien Asghar Farhadi et SOUDAIN, du réalisateur japonais Ryūsuke HAMAGUCHI, avec Virginie EFIRA. MOULIN incarné par Gilles LELLOUCHE : le réalisateur Laszlo NEMES sera avec nous accompagné de la comédienne Louise BOURGOIN. nous serons avec l'équipe du film L'ABANDON, film qui raconte les derniers jours de la vie de Samuel PATY et l'engrenage qui a mené à son assassinat : Antoine REINARTZ, qui incarne Samuel PATY, le réalisateur Vincent GARENQ et Mickaelle PATY, la soeur du professeur d'Histoire seront avec nous… Et puis avec LES FRAISES nous vous emmènerons aussi en Espagne où la réalisatrice Leïla MARRAKCHI nous raconte le calvaire et le combat de saisonnières marocaines pour faire valoir leurs droits…- Virginie EFIRA, Actrice jouant dans le film Histoires Parallèles et Soudain- Alain GOLDMAN, Producteur du film Moulin- László NEMES, Réalisateur du film Moulin- Louise BOURGOIN, Actrice dans le film Moulin et réalisatrice du court-métrage Volontaire- Antoine REINARTZ, Acteur dans le film l'Abandon- Vincent GARENQ, Réalisateur du film l'Abandon- Mickaëlle PATY, Soeur de Samuel PATY- Laïla MARRAKCHI, Réalisatrice du film Les Fraises

Ryan brings Alex's least favorite game, BS, to the pod, along with two guests from The Carousel of Podcast: Ry and Molly.Want to hear more of Ry and Molly? | Listen to Carousel of PodcastFor more Dizneyverse, head over to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Dizneyverse.com⁠⁠⁠⁠⁠ or check us out on Instagram ⁠@Dizneyverse ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Check out our shirts on our Tee Public store. ⁠T-Shirts by Into the Dizneyverse | TeePublic

CIA Whistleblower Says Government Circulated Scientific Papers on COVID "Lab-Leak" Theory in 2020 // The CIA releases statement calling the testimony “political theater” // Sen. Rand Paul warns CIA they must not retaliate against whistle blower // He also claims the CIA “took back 40 boxes of JFK and MK-Ultra files” that Tulsi Gabbard was reviewing for declassification. // Fox News’s Watters deletes clip saying CIA ‘raided’ Gabbard’s office // The $13 million dollar foreign lobby fight to unseat constitutionalist Thomas Massie in Kentucky // Ry is moving back to the barn for the summer

Drinks On Us with @rosemcmahonn & @sincerely.ryleigh. S03 E11 of Drinks On Us is a general Q&A! The girls chat about what they have been up to the last 8 weeks Ry's maternity leave. Tune in for special segments including Sip & Spill, What's In Our Cart, & The Girls' Room. Sit back with your favorite beverage and relax, because the drinks are on us!WHAT'S IN OUR CART:Rose - https://liketk.it/6cNNd Ryleigh - https://liketk.it/6cOgp General Links - https://msha.ke/drinksonus/Join the After Party for more exclusive content! Patreon.com/DoucrewFollow Rose & Ry on Instagram & TikTok: @rosemcmahonn @sincerely.ryleighFollow @drinksonuspod on Instagram & TikTok to join the Happy Hour Club!For business inquiries: Roseandryleigh@gmail.comAudio and video podcasts edited by Penderville Films LLChttps://www.pendervillefilms.com Hosted on Acast. See acast.com/privacy for more information.

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. It's the final episode of the series and Kurt and Patrick cover Ry's striking late-period work, collaborations and his venture into short stories. Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends.Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. In this episode, Kurt tells the story of the Buena Vista Social Club, an album that was the end result of a trip to Cuba to record an entirely different project. It ended up becoming a worldwide phenomenon, funding the rest of Ry's career. Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends.Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. In part five, Ry's remarkable history of collaborations is in the spotlight.  Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

00:00 – įspūdžiai iš Badalonos ir sirgaliai 07:12 – „Ryto“ pergalė pusfinalyje 19:30 – Čempionų lygos GOAT ir M.Jamesas 23:15 – „Unicaja“ problemos ir AEK 39:14 – kas laukia finale 51:00 – baklažanai ir Ryčio natūralios emocijos

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. Part four examines Ry's work in the 1980s, when scoring films and creating soundtracks were his main musical focus.Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends.Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. Part three explores the solo material Ry released in the 1970s and the artistic freedom (and support) he was given by Warner Bros and Reprise Records. Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends.Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

Dana and Tom with guest, Myke Emal (Host and Creator of the Cinemusts podcast), discuss Yojimbo (1961) for its 65th anniversary: written and directed by Akira Kurosawa with Ryūzō Kikushima and Hideo Oguni, cinematography by Kazuo Miyagawa, music by Masaru Sato, editing by Akira Kurosawa, starring Toshiro Mifune, Eijirō Tōno, Tatsuya Nakadai, and Daisuke Katō.Plot Summary: In a small, lawless town divided by two rival gangs, Toshiro Mifune plays a wandering ronin who sees an opportunity. Pretending to work for both sides, he tricks each gang into fighting the other, hoping to wipe them out and bring peace to the town. As his plan unfolds, the violence grows, and innocent people are caught in the middle.The ronin must rely on his intelligence and sword skills to survive as both gangs begin to suspect his true intentions. In the end, he faces the consequences of his dangerous game while trying to restore some sense of justice.Guest:Myke EmalHost and Creator of the Cinemusts podcast@cinemusts on Twitter, Letterboxd, Facebook, and IGPreviously on Anatomy of a Murder (1959), Sabotage (1936)Chapters:00:00 Introduction, Cast, and Background for Yojimbo05:59 Welcome Back, Myke Emal!06:46 Getting Into Yojimbo10:48 Is the Divided Town Symbolic of Anything?12:55 Endorsement of Violence?18:05 Dana's War Stories19:48 Plot Summary for Yojimbo20:37 What is Yojimbo About?21:39 Did You Know?27:35 First Break28:18 What's Happening with Myke Emal?29:49 Best Performance(s)42:17 Best Scene(s)48:51 Second Break52:18 In Memoriam55:36 Best/Funniest Lines57:57 The Stanley Rubric - Legacy01:04:56 The Stanley Rubric - Impact/Significance01:09:16 The Stanley Rubric - Novelty01:16:13 The Stanley Rubric - Classicness01:22:36 The Stanley Rubric - Rewatchability01:26:39 The Stanley Rubric - Audience Score and Final Total01:29:54 Remaining Questions for Yojimbo01:37:29 Thank You to Myke and Final Thoughts01:42:56 CreditsYou can also find this episode in full video on YouTube.You can now follow us on Instagram, Twitter, Bluesky, Threads, YouTube, or TikTok (@gmoatpodcast).For more on the episode, go to: https://www.ronnyduncanstudios.com/post/yojimbo-1961-ft-myke-emalFor the entire rankings list so far, go to: https://www.ronnyduncanstudios.com/post/greatest-movie-of-all-time-listKeywords:Yojimbo, Kurosawa, Samurai Films, Cinematography, Film Influence, Western Adaptations, Film Analysis, film legacy, cinema influence, Japanese cinema, film analysis, rewatchability, film impact, classic films, film discussionRonny Duncan Studios

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. In the second installment, Ry branches out into session work and dabbles briefly with higher education before deciding his career path – musician – has already been laid out for him. Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends.Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

Voga and Ry are finally back, The Red Text returns! Join us as we catch up as well as discuss the magical uses of the Joyful Mysteries of the rosary.

Serial killers deal in singularities...I'm a numbers guy. Join Reneé, John Paul, and Travis as they discuss Ryûhei Kitamura's 2012 horror film "No One Lives." Please consider supporting the show on Patreon: https://www.patreon.com/thepodmortem  Pod Mortem / Stairhole Productions Merch: https://www.teepublic.com/user/thepodmortem Pod Mortem would like to thank Original CINematic for sponsoring this week's episode! https://www.ogcinpro.com/  Feel free to contact: William Rush: wrush@ogcinpro.com Xxena Rush: xrush@ogcinpro.com    Where to listen to the podcast and follow us on social media: https://allmylinks.com/thepodmortem Follow us on Instagram: https://www.instagram.com/thepodmortem https://www.instagram.com/travismwh https://www.instagram.com/bloodandsmoke https://www.instagram.com/juggalodaddy84 Follow us on Twitter: https://twitter.com/thepodmortem https://twitter.com/bloodandsmoke https://twitter.com/realstreeter84 https://twitter.com/travismwh What would you rate No One Lives and what should we watch next? Email us at thepodmortem@gmail.com    "Pod Mortem Theme" written and performed by Travis Hunter-Sayapin. https://youtube.com/travismwh Podcast artwork by Brian Demarest. https://www.instagram.com/evilflynn

Kurt Gallagher joins Patrick to tell the story of Ry Cooder, one of the most influential and incredible musical minds of the past 50 years. In part one, Ry suffers a tragic accident that changes the course of his life, but ends up playing with Bill Monroe, founding a band that might have been bigger than the Byrds and playing with Captain Beefheart. Rockin' the Suburbs on Apple Podcasts/iTunes or other podcast platforms, including audioBoom, Spotify, Google Podcasts, Amazon, iHeart, Stitcher and TuneIn. Or listen at SuburbsPod.com. Please rate/review the show on Apple Podcasts and share it with your friends.Visit our website at SuburbsPod.comEmail Jim & Patrick at rock@suburbspod.comFollow us on the Threads, Facebook or Instagram @suburbspodIf you're glad or sad or high, call the Suburban Party Line — 612-440-1984.Theme music: "Ascension," originally by Quartjar, next covered by Frank Muffin and now re-done in a high-voltage version by Quartjar again!  Visit quartjar.bandcamp.com and frankmuffin.bandcamp.com.

In this episode, Simon and Dan break down 10 common mistakes Canadian investors make, from treating the TFSA like a basic savings account to overconcentrating in Canadian stocks and real estate. They discuss why home-country bias can quietly increase portfolio risk, when CDRs and Canadian-listed U.S. ETFs may or may not make sense, and how withholding taxes, currency conversion, and account type can affect returns. They also dig into the psychology of chasing yield, the danger of focusing too much on dividends instead of total returns, and why high-fee funds should be judged on performance net of fees rather than fees alone. The episode wraps with a look at analyst price targets, investor pitch decks, and why relying too heavily on management presentations can lead investors to miss major red flags. Tickers of Stocks Discussed: V, RY, AAPL, GOOGL, AMZN, SHOP, CLS, CSU, FTS, VFV, VOO, BCE, MSTR, MSTY, ZLB, XIC, GSY, LSPD, WEED, CM. Subscribe to our Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Tune in as Hannah, Rebecca, and Sarah (Can I Spoil Something?) head back to the program in order to unpack The Summer Hikaru Died, the 2025 coming-of-age cosmic horror anime series that follows a pair of teenage boys as one of them realizes that his friend isn't quite here anymore, having been possessed by an eldritch being. The queerness that's written all over this show, the sexy tree, comparing someone's insides to raw and marinated chicken, and appreciation for body horror tales like Videodrome and The Substance provide a few of the topics for this episode.Directed by Ryōhei Takeshita and adapted from the manga that's written and illustrated by Mokumokuren, The Summer Hikaru Died stars:•Japanese cast:Shūichirō Umeda, Chiaki Kobayashi, Yumiri Hanamori, Wakana Kowaka, Chikahiro Kobayashi, Yoshiki Nakajima, Shion Wakayama, and Fuminori Komatsu.•English cast:Paul Castro Jr., Kyle McCarley, Jennifer Losi, Dorothy Fahn, Daman Mills, Jacob Hopkins, Valerie Rose Lohman, and Ben Diskin.Spoilers start at 24:15Create your podcast today! #madeonzencastrHere's how you can learn more about Palestine and IsraelHere's how you can keep up-to-date on this genocideHere's how you can send eSIM cards to Palestinians in order to help them stay connected onlineGood Word:• Hannah: unOrdinary by uru-chan• Rebecca: Lepreezy• Sarah: Gregory Alan Isakov• Arthur: The DreamersReach out at email2centscritic@yahoo.com if you want to recommend things to watch and read, share anecdotes, or just say hello!Be sure to subscribe, rate, and review on iTunes or any of your preferred podcasting platforms!Follow Arthur on Twitter, Goodpods, StoryGraph, Letterboxd, and TikTok: @arthur_ant18Follow Arthur on Bluesky: @arthur-ant18Follow the podcast on Twitter: @two_centscriticFollow the podcast on Instagram: @twocentscriticpodFollow Arthur on GoodreadsCheck out 2 Cents Critic Linktree

In this episode of The Canadian Investor Podcast, we break down the latest data on Canadian household wealth and what it reveals about the growing divide between those benefiting from rising asset prices and those falling behind. We discuss household debt levels, savings rates, real estate stagnation, and why many Canadians may be feeling more financial pressure than headline numbers suggest. We also dive into BMO’s annual retirement survey, where Canadians now believe they need $1.7 million to retire. We unpack why these figures can be misleading, how retirement needs vary dramatically across provinces, and the key factors that actually determine how much you’ll need to stop working. Finally, we discuss Wealthsimple’s new partnership with X (formerly Twitter), allowing users to trade stocks directly through the platform. We explore what this means for retail investors, the gamification of investing, and whether making stock trading easier is ultimately helping—or hurting—long-term investors. Tickers of stocks discussed: RY, NA, TSLA Subscribe to our Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense. See omnystudio.com/listener for privacy information.

Discover the roots of Akira Kurosawa's film Rashomon. Ambrose Bierce, today on The Classic Tales Podcast.   Welcome to this VINTAGE episode of The Classic Tales Podcast, where an audiobook format gives you an immersive experience in classic literature. You can get friendlier with the classics you know, and discover new favorites. I'm your host BJ Harrison. I'm glad you could join us.     Well, you've heard me talk a lot about The Audiobook Library Card. It's like Netflix for audiobooks, you can listen all you want, 18 years of recordings, there's tons of stuff, yeah, yeah, yeah. Well, I'm so happy to announce that now it's possible to buy multiple licenses and SHARE THE AUDIOBOOK LIBRARY CARD with your nearest and dearest.   Maybe you're a family with a few bookworms who commute. Maybe you're a tutor with students who struggle to read. Maybe you're a therapist whose clients have trouble sleeping. Whatever the case, now you can extend the wonders of unlimited listening of the Classic Tales Library to your kith, kin, colleagues and compatriots.   And the introductory prices are outrageously low. Like, five licenses for $19.99/month. Five. And it just gets better from there. Again, it's the best deal on the internet.   Once you buy a subscription, we'll set you up to share with the people on your plan. Cancel anytime. It's a smorgasbord of listening enjoyment for all your friends and relations.   Go to audiobooklibrarycard.com or follow the link in the show notes, and subscribe today.   Today's story established the format for the short story "In a Grove", by Ryūnosuke Akutagawa, the father of the Japanese short story. "In a Grove" influenced the great Akira Kurosawa to create the film Rashomon. The concept being that two witnesses can give widely different accounts of the same factual event.   It may also serve as  William James's thesis that "it is not so much the truth of events that matters, but how they are perceived, and the difference that they make to the perceiver". I hope you like it.   And now, "The Moonlit Road", by Ambrose Bierce       Follow this link and get Multiple Licenses for The Audiobook Library Card   Follow this link and watch the new video walkthrough using PocketBook.   Follow this link to get The Audiobook Library Card for a special price of $9.99/month     Follow this link to subscribe to our YouTube Channel:       Follow this link to subscribe to the Arsène Lupin Podcast:     Follow this link to follow us on Instagram:     Follow this link to follow us on Facebook:

Ryōkan Taigu (1758–1831) was a quiet and unconventional Sōtō Zen Buddhist monk who lived much of his life as a hermit. Ryōkan is remembered for his poetry and calligraphy, which present the essence of Zen life. He renounced the world at an early age to train at nearby Sōtō Zen temple Kōshō-ji, refusing to meet with or accept charity from his family.These selected excerpts and poems by Ryokan have been taken from the text "Great Fool" translated by Ryuichi Abé & Peter Haskel.

We've been on a bit of a mini World Models series over the last quarter: from introducing the topic with Yi Tay, to exploring Marble with World Labs' Fei-Fei Li and Justin Johnson, to previewing World Models learned from massive gaming datasets with General Intuition's Pim de Witte (who has now written down their approach to World Models with Not Boring), to discussing the Cosmos World Model with with Andrew White of Edison Scientific on our new Science pod, to writing up our own theses on Adversarial World Models. Meanwhile Nvidia, Waymo and Tesla have published their own approaches, Google has released Genie 3, and Yann LeCun has raised $1B for AMI and published LeWorldModel.Today's guests have a radically different approach to World Modeling to every player we just mentioned — while Genie 3 is impressive, its many flaws demonstrate the issues with their approach - terrain clipping, noninteractivity (single player, no physics/no objects other than the player move), and maximum of 60 second immersion. Moonlake AI (inspired by the Dreamworks logo) is the diametric opposite - immediately multiplayer, incredibly interactive, indefinite lifetime, capable of MANY different kinds of world models by simulating environments, predicting outcomes, and planning over long horizons. This is enabled by bootstrapping from game engines and training custom agents: In Towards Efficient World Models, Chris Manning and Ian Goodfellow join Fan-Yun in explaining why their approach to efficiency with structure and casuality instead of just blind scaling is sorely needed:SOTA models still show physical or spatial understanding glitches, such as solid objects floating in mid-air or moving “inside” other solid objects.If the goal is to plan for the next action, how often is a high-resolution pixel view necessary for modeling the world? Our bet is that there is a disproportionately large share of economically valuable tasks where such detail is not required. After all, humans with a wide variety of sensory limitations have little difficulty doing almost everything in the world. Furthermore, for a large number of purposes, describing a scene or a situation in a few words of language (“the car's tires squealed as it cornered sharply”) is sufficient for understanding and planning.Experiments also show that humans only partially process visual input in a top-down, task-directed way, often making use of abstracted object-level modeling. In almost all cases, partial representations combined with semantic understanding are sufficient.…If the goal is to facilitate the understanding of causality in multimodal environments, then the world model—whether it is used in the virtual world or the physical world—must prioritize properties such as spatial and physical state consistency maintained over long time periods, and an ability to evolve the world that accurately reflects the consequences of actions. That's what Moonlake is building.Game engines are the right starting point abstraction to efficiently extract causal relationships, and building the interfaces and community (including their new $30,000 Creator Cup) to kickstart the flywheel of actions-to-observations.We were fortunate enough to attend their sessions at GDC 2026 (the Mecca of Game Devs), and were impressed by the huge variety and flexibility of the worlds people were building with Moonlake's tools already! Live videos on the pod.Full Video Pod on YouTube!Timestamps00:00 Benchmarking Gets Hard00:47 Meet Moonlake Founders01:26 Why Build World Models03:12 Structure Not Just Scale05:37 Defining Action Conditioned Worlds07:32 Abstraction Versus Bitter Lesson14:39 Language Versus JEPA Debate20:27 Reasoning Traces And Rendering Layer37:00 Gameplay Over Graphics38:02 Fiction Rules And World Tweaks39:15 Code Engines Beat Learned Priors41:10 Diffusion Scaling Limits43:23 Symbolic Versus Diffusion Boundary46:14 Platform Vision Beyond Games50:24 Spatial Audio And Multimodal Latents54:23 NLP Roots Hiring And Moon Lake NameTranscript[00:00:00] Cold Open[00:00:00] Chris Manning: Think this whole space is extremely difficult as things are emerging now. And I mean, it's not only for world models, I think it's for everything including text-based models, right? ‘cause in the early days it seemed very easy to have good benchmarks ‘cause we could do things like question answering benchmarks.[00:00:20] But these days so much of what people are wanting to do is nothing like that, right? You're wanting to get some recommendations about which backpack would be best for you for your trip in Europe next month. It's not so easy to come up with a benchmark, and it's the same problem with these world models.[00:00:41] Meet the Founders[00:00:41] swyx: Okay. We're back in the studio with Moon Lake's, two leads. I, I guess there's other founders as well, but, sun and Chris Manning. Welcome to the studio.[00:00:54] Fan-yun Sun: Thanks. Thanks, Chris. Thanks for having us.[00:00:56] swyx: You've got, you guys have, come burst onto the scene with a really refreshing [00:01:00] new take of mold models.[00:01:01] I would just want to, I guess ask how you, the two of you came together. Chris, you're a legend in NLP and just AI in, in, in general. You're, you're his grad student, I guess[00:01:10] Fan-yun Sun: Actually my co-founder.[00:01:11] swyx: Oh, yeah.[00:01:12] Fan-yun Sun: I should give a lot of credit to my co-founder, Sharon. Yeah. She was, she was actually working with Professor Fe Androgyn and then she ended up working with, Ron and Chris Manning here.[00:01:22] And then, so I got connected through to Chris initially, actually through my co-founder,[00:01:26] What is Moon Lake?[00:01:26] swyx: what is Moon Lake? What, what is, actually, I'm also very curious about the name, but like why going into world models?[00:01:33] Fan-yun Sun: So I was working a lot. With actually Nvidia research during my PhD years on essentially generating interactive worlds to train reinforcement learning agents or embody EA agents.[00:01:44] And then there's two observations. One in academia and one in industry. An industry like folks at Nvidia are actually paying a lot of dollars to purchase these types of interactive worlds, whether it's for the sake of evaluation or training the robots, or policies or models. And [00:02:00] then, in academia, same thing is happening.[00:02:02] And more specifically, when I was actually working with Nvidia on the synthetic data foundation model training project, we were actually generating a lot of these synthetic data and showing that, hey, you can actually, these synthetic data are actually as useful as real world data when it comes to multimodal pre-training.[00:02:16] But then, like I said, there's a lot of dollars being paid out to like external vendors or, or like. Other folks to manually curate these types of data. It was very clear to us that, okay, on our way to, let's call it embody general intelligence models need to learn the consequences behind their actions, which means that they need interactive data and the demand for those types of data are growing exponentially.[00:02:38] But everybody's sort of thinking about it from a pure, say, video generation perspective or something else. But we feel like the true actually opportunity is actually building reasoning models that can do these things, like how humans do these things today. So that's a little bit on the genesis of Moon Lake, and I think the reason I got into world models was partly.[00:02:59] A philosophical [00:03:00] take of the on the world where I like, believe the simulation theory and stuff like that. But on the other, on the other hand, it's really just like, oh, like there's an opportunity there that I feel like nobody's doing it the way I think should be done.[00:03:10] Structure, Not Scale: The Vision[00:03:10] Chris Manning: I can say a little bit about that.[00:03:12] Yeah. So of the overall goal is the pursuit of artificial intelligence and most of my career has been doing that in the language space and that's been just extremely productive. As we all know, the story of the last few years, I don't have to tell about how much we've achieved with large language models, but, uh.[00:03:31] Although they have been extremely effective for ramping language and general intelligence, it's clearly not the whole world. There's this multimodal world of vision, sound, taste that you'd like to be dealing with more than just, language. And then the question is how to do it. And despite, a huge investment in the computer vision space, right, as the research field computer [00:04:00] vision has been for decades, far, far larger than the language space, actually.[00:04:05] I think it's fair. Say that, vision, understanding sort of stalled out, right? You got to object recognition and then progress just wasn't being made right? If you look at any of these, vision language models, it's the language that's doing 90% of the work and the vision barely works. And so there's really an interesting research question as to why that is and at heart, the ideas behind Moon Lake are an attempt to answer that, believing that there can be a really rich connection between a more symbolic layer of abstracted understanding of visual domains, which aren't in the mainstream vision models, which are still trying to operate on the surface level of pixels.[00:04:50] swyx: I think one of your blog posts, you put it as structure, not scale. Is that, a general thesis?[00:04:57] Chris Manning: Yeah. Well, scale is good too.[00:04:58] swyx: Yeah. Scale is good. Too[00:04:59] lot,[00:04:59] Chris Manning: [00:05:00] lots of data is good as well and scale, but nevertheless, you want the structure Yeah. To be able to much more efficiently learn.[00:05:07] swyx: Yeah. The other thing I really liked also is you put out an example of what your kind of reasoning traces look like.[00:05:12] Right. Which you would distill is the word that comes to mind. I don't even think that's a good, good description, but it would involve, for example, geometry, physics, affordances, symbolic logic, perceptual mappings, and what, what have you. But like that, that is the kind of example that involves, let's call it spatial reasoning, role model reasoning as as compared to normal LM reasoning.[00:05:35] Yeah.[00:05:36] Defining World Models vs Video Generation[00:05:36] Vibhu: But also like taking it a step back. So how do you guys define world models? A lot of people see okay, you can do diffusion, you can do video generation. But, you guys put out quite a few blog posts. You put out a essay recently, we can even pull it up about efficient world models. You have a pretty like structural definition here, but for the general audience that don't super follow the space, right.[00:05:55] What's, what's the difference in what we see from like a video generation model to [00:06:00] a world gen A simulator? How do you kind of paint that last[00:06:02] Chris Manning: year? Yeah, so I think this is actually a little bit subtle because, people look at these amazing generative AI video models, SAWA VO three, one of these things, and they think Genie, they think, oh, this is amazing.[00:06:17] This is we've solved understanding the world because you can produce these generative AI videos, but. The reality is that although the visuals do look fantastic, those visuals actually are accompanied by an understanding of the 3D world, understanding how objects can move, what the consequences of different actions are, and that's what's really needed for spatial intelligence.[00:06:49] So I mean, a term we sometimes use is that you need action condition, world models. That you only actually have a world model if you can predict, [00:07:00] given some action is taken, what is going to change in the world because of it. And in particular, that becomes hard over longer time scales. So if you're simply, trying to.[00:07:12] Predict the next video frame. That's not so difficult. But what you actually want to do is understand the consequences, likely consequences of actions minutes into the future. And to do that, you actually much more of an abstracted semantic model of the world.[00:07:32] The Bitter Lesson & Data Abstraction[00:07:32] swyx: Yeah, the question comes where you want to have more structure than is available in just predicting the next token.[00:07:41] And typically, well, let's, let's call it the experience of the last five years has been that is just washed away by scale, right? So what is the right middle ground here that, you don't ignore the bitter lesson, but also you. Can be more efficient than what we're doing today.[00:07:57] Chris Manning: One possibility [00:08:00] is, look, if we just collect masses and masses and masses and masses of video data, this problem will be solved.[00:08:11] Under certain assumptions that could be true, but there are sort of multiple avenues in which it could not be true. The first is what's really essential is understanding the, the consequences of actions producing an action conditioned world model. And if you are simply, collecting observational video data, which is the easy stuff to collect, when you're sort of mining online videos, you don't actually.[00:08:41] Know the actions that are being taken to see how the video is changing. And so if you are never collecting directly actions and you are having to try and infer them from what happened in the observed video, that's not impossible. But it's very [00:09:00] hard and it's not really established that you can get that to work at any scale yet.[00:09:05] And so there's a lot of premium on collecting action condition video data, which is part of why there's been a lot of interest in using simulation so that you can be collecting data where you do know the actions, which isn't quite limited supply, but there's also in the limit of as much data as you could possibly have.[00:09:28] Maybe the problem is eventually solvable, but. Even though we collect huge amounts of text data is always at a great level of abstraction, right? Language is a human designed, abstracted representation where there's meaning in each token and it's representing and abstraction of the world, right?[00:09:51] As soon as you are describing someone as a professor, and as soon as you are saying that they're condescending, right? These are very [00:10:00] abstracted descriptions of the world. It's not at what you're observing as pixel level, and to get to that kind of degree of abstraction, starting from pixels is orders and magnitude of extra data and processing.[00:10:14] And so, although, we absolutely want to exploit, get as much data as possible, use the bitter lesson. Nevertheless, if there are ways in which you can work with five orders of magnitude less data than people working purely from pixels, you're gonna be able to make a lot more progress, a lot more quickly.[00:10:34] And that's the bet here. And so you could just say that's only wanting to be able to, do it more efficiently, do it more quickly, do it more cheaply. But I think it's actually more than that, I think. One should be making the analogy to how human beings work at one level. You know? Yes, we have these high [00:11:00] resolution eyes and we can look and see a scene like a video, but all of the evidence from neuroscience and psychology is that most of what comes into people's eyes is never processed.[00:11:13] Right. That you are doing fairly fine ated processing of exactly what you're focusing on. But as soon as it's away from that of yeah, there's another guy over there that you've sort of only processing top down this very abstracted semantic description of the world around you. And so, that's what human beings are doing.[00:11:33] They're working with semantic abstractions and so. I think it is just the right representation. ‘cause we also have other goals we want to be able to do, real time worlds. So that means there's a limit to how much processing you can do and we want to do long-term planning and consistency. And again, that favors abstraction.[00:11:55] I mean, I guess there was actually a recent. Blog posts that [00:12:00] came out from our Friends of physical intelligence and, they were sort of heading in the same direction they were saying Oh, to the pay[00:12:06] swyx: pay model.[00:12:07] Chris Manning: Yeah. Yeah. To maintain a long term memory of what's happening in the world. So we can, do longer term we actually storing text of what is, been happening in the world.[00:12:19] Right. It is not such a successful strategy of trying to keep it all at a pixel level.[00:12:24] Vibhu: And yeah, I mean, you can see it in video models like that Temporal consistency. We're at a scale of train on, all the video data we have. We have it for maybe 30 seconds, a few minutes. That's not the same as a game state played for half an hour.[00:12:37] Right. I thought you guys break it down pretty well. You have a, you have a blog post about. Building multimodal worlds with an agent. I dunno if you guys wanna talk about this. This is one of the things I read, I[00:12:48] swyx: thought, yeah, it's the thing I talked about with the reasoning chain. Yeah.[00:12:51] Vibhu: So there's like different phases to this.[00:12:53] It seems like it's more of an agent, a scaffold, very different approach than just, type in a prompt and you, you don't have the same consistency. [00:13:00] It also, like, for people that are listening, I, I would highly recommend reading it. It breaks down the problem in a different light, right?[00:13:06] So like, what do you need to consider when you're talking about video, like world game models, right? How would, what do you need to consider? What are the factors? What are the elements? What's the state? So I don't know if you guys have stuff to talk about for this one.[00:13:19] Fan-yun Sun: Yeah. Actually, I wanted to add on a little bit Yeah.[00:13:22] On our previous point, which is just like, change topics so quickly. I, I do feel like sometimes people confuse like, oh, like we're taking an an, an method with abstraction. That means they don't believe in bitter lesson. Like that's just false, right? Like we are believed is a bitter lesson. But then I feel like the question that we always discuss is like, what is the right abstraction level today?[00:13:42] The analogy I like to make is like, let's just say we can encode and decode. Represent all of images, videos, audio and bytes. Then the most bitter lesson approached is to train a next byte prediction model as opposed to the next token prediction model where it's just like, okay, it's natively multimodal, can just, but it's like, yeah, like [00:14:00] to, to Chris's point, it's like the scale and computing you need to achieve that.[00:14:03] So that's why we always come back to like, okay, what is the most efficient way to do it? And reasoning models to the point of this blog post is a showcase of like, Hey, we're actually just like reasoning about the world and reasoning about. The aspects of the world that CAGR that matter for me to learn what I want to learn from this role model.[00:14:21] swyx: Yeah, it's like you're improving the en encoder of whatever you're, trying to model. And like a better representation would just represent the important things in less space. Yeah. Which would just be more efficient.[00:14:33] Fan-yun Sun: Yeah.[00:14:34] swyx: So yeah, I, I, I fully agree that it is not, antagonistic to, bitter lesson.[00:14:38] I do wanna wanna mention one more thing. Is there any philosophical differences with the JPA stuff that, Yun is working on? I gotta go there. You, you, you, you're, you're imagining like some latent abstraction. I'm like, okay, fine. Let's, let's talk about it, right? Like it's an elephant in the room.[00:14:52] Chris Manning: Yeah.[00:14:53] JEPA & Philosophical Differences with LeCun[00:14:53] Chris Manning: There are philosophical differences. Jan Lacoon is a dear friend of mine, but. [00:15:00] He has never appreciated the power of language in particular, or symbolic representations in general. Yarn is a very visual thinker. He always wants to claim that he thinks visually and there are no words, symbols, or math in his head.[00:15:21] Maybe that's true of yarn. It's certainly not the way I think. Um. But at any rate, the world according to yarn is the basic stuff of the, the world and of intelligence is visual and language is just. This low bit rate communication mechanism between humans and it doesn't have much other utility and it's far inferior to the high bit rate video, that comes into your eyes.[00:15:53] And I think he's fundamentally missing a number of important things [00:16:00] there. Think of this evolutionary argument looking at animals, right? That the closest analogies, the things with chimps, right? So chimpanzees, have fairly similar brains to human beings. They have great vision systems, they have great memory systems.[00:16:18] They've got, better memory than we do of short term memories. They can plan, they can build primitive tools that, humans. Massively ahead in what we understand about the world, what we can plan, what we can build. And essentially what took off for us was that humans managed to develop language and that gave a symbolic knowledge, representation, and reasoning level, which just, okay if this sort of vaulting of what could be done with the intelligence in brains.[00:16:59] So the [00:17:00] philosopher Dan de refers to language as a cognitive tool and argues that, humans unique among the creatures in the world have managed to build their own cognitive tools and language is the famous first example. But other things like, mathematics and programming languages are also cognitive tools.[00:17:21] They give you an ability to. Think in abstractions, in extended causal reasoning chains. And that allows you to do much more. And we use that for spatial representation and intelligence and planning and gameplay as well. So we believe, and this is, underlying the specific technologies that Moon Lake is making, that symbolic representations are powerful.[00:17:50] And you want to use that in your understanding of the visual world when you want a causal understanding, when you want to maintain long-term [00:18:00] consistency and prediction. And as I understand it, that's just not in ya Koon's worldview. So I think that's the fundamental philosophical difference. Then there's the specific model.[00:18:11] He's been advancing jpa, that's a reasonable. Research bed is a direction as to, to head for building out a model of the visual world. To my mind, it's sort of one reasonable research bed. It's not really established. It's the best one that everyone should be following,[00:18:32] swyx: at least developed at scale, at Meta.[00:18:34] But it's not just vision, right? Like, I mean, JPA is a, just joint admitting prediction can be applied to anything really. And people have done it. The argument is that there is a latent representation or that is probably more. Suited to the task, then why not let machines do it for us instead of predefining it at all?[00:18:50] And isn't something like a JPA shaped thing the right answer? And if not, why not?[00:18:55] Chris Manning: So I think there's a part of jpa that's right, which is [00:19:00] you do want to have a joint. Embedding that gives you a consistent model of the world. And Jan's argument is you can never get that from auto aggressive language models ‘cause they're sort of left to right churning out one token at a time.[00:19:22] I guess this is where we're the research arguments of the field, I'm not actually convinced that's right. ‘cause although the token production is this auto aggressive, process that's heading, left to right, I guess don't have to be left to right. But anyway, in sequence of tokens we could have right to left Arabic.[00:19:40] But although that's true, all of the weights of the model that are internal to the transformer, they are a joint model of the model's understanding of the world. And so I think you can think of the weights of the model as a form of. Joint representation, [00:20:00] and therefore it is plausible to think that could be the basis of a world model, which avoids, ya's objections.[00:20:10] swyx: I think I follow, and obviously that would touch on what Moon Lake eventually ends up doing as well. Right. Like, which it's hard to tell because you put out the end results, but we don't know the inputs that go into it. So it's, it's, that's something that we have to figure out over time.[00:20:25] Vibhu: Yeah. I mean, I guess this kind of breaks down some of the outputs. Do you wanna walk us through it?[00:20:31] Reasoning Traces & Interactive Worlds[00:20:31] Fan-yun Sun: Yeah. So this, this really just walks us through the reasoning traces of like, okay. So that just say, if we wanna build a world in this context, it's really just a game demo that, that shows the, the variety of interactions that this world model can build.[00:20:45] And yeah, it's really just a reasoning traces of like, okay it prompted to create a bowling game. Like how did it achieve what you saw? That level of causality, interaction and consistency, right? So yeah, this is almost just like a, an example of [00:21:00] like a reasoning traces. Very[00:21:01] swyx: detailed.[00:21:01] Fan-yun Sun: Yeah.[00:21:01] Vibhu: Very, very detailed.[00:21:02] You gotta you don't even realize it, right? Like when a video is generated, what happens when a ball strikes a pin, right? So first, like you, there's audio in that, like audio triggers happens, score increments, the world changes. Like pins have to start dropping. There's a timer that goes on. It's just like very similar to how now we're used to reasoning for language models.[00:21:20] There's a whole state of what happens. So geometry, physics, all this stuff. And then yeah, there's kind of that single prompt. So asset, ation all this stuff. It's like a, it's a nice view to see what's going on.[00:21:32] swyx: I think Sun is also too polite to point out that, both like Google's genie, demos as well as world Labs is marble, do not have interactive worlds.[00:21:41] Fan-yun Sun: That's the benefit of having a reasoning model, right? Like, because you can, you can say, oh, like maybe in this particular context, I want to learn how to bowl. And then you can say, okay, then what is it important when it comes to learning how to bowl? Okay, maybe it's like I need to understand the, the basic of like, physics and I want to throw it over [00:22:00] them.[00:22:00] I wanna know that when I, when it resets it's a new game. So I know that yeah, basically, you know to pick up the ball, you know that ball's gonna cause the pins to fall down. You know that what's important to this particular bowling game is to score and you know that the score corresponds to the number of pins that fell down.[00:22:19] So it's just like, if it's a model that sort of knows what it. Looks like, knows what a bowling game looks like, but doesn't actually allows you to practice over and over again and to understand that, oh, like what it takes to actually get a high score. Then it sort of doesn't actually allow you to learn what you set out to learn within the world model.[00:22:38] And I think this is really just one example of showing like the advantages of the approach that we're taking over most the, let's call it the zeitgeist, is today, when people talk about clinical role models,[00:22:51] Chris Manning: right? So it sort of seems like the question to ask when there's a world model is.[00:22:58] Can I not [00:23:00] only just wander around the world and look at the beautiful graphics, can I interact with the objects in the world and see the right consequences of actions?[00:23:11] Vibhu: And you also understand what the consequences would be if you do something right. So it's not just like, okay, there's one thing if I pick it up, something will happen.[00:23:19] But, there's 50 options and I know I can expect, I can infer what would happen if I do any of them. Right. So very different when you can actually see it play around with it.[00:23:28] swyx: There,[00:23:28] Beyond Unity: Cognitive Tools for World Building[00:23:31] swyx: there's two cheeky elements of that. I mean, the, the, the I guess, less ambitious one is, let's really establish for listeners, why is this fundamentally different than writing Unity code, right?[00:23:40] Like just creating a model to translate a prompt into Unity code[00:23:44] Fan-yun Sun: so there is an underlying physics engine. Yeah. In that sense, there's some overlapping things to Unity, but the way we think about it is like physics engine. Tools or code are cognitive tools like borrowing Chris's term, right? Like tools [00:24:00] that the model can employ as means to an end.[00:24:04] So today maybe you say, okay, in this particular context we care about physics, we care about the long-term causality consequences. Then yes, we deploy it, employ physics engine, and then maybe tomorrow we say, okay, we're we're training that. Just say drones where we only care about really fluid dynamics and the visual aspect of the world.[00:24:25] Then, then yeah, maybe we don't actually, the model actually doesn't have to use a physics engine. Or maybe it employs other types of representation or physics engine to achieve the task. So yes, writing code for Unity is sort of similar to a tool that our A model can employ, but our goal is for a model to take a representation conditioned reasoning.[00:24:46] Approach or process.[00:24:47] swyx: Yeah,[00:24:47] Fan-yun Sun: internally.[00:24:48] swyx: Yeah. Using these things as just like general two calls. Right. Which I think is very interesting. The other more ambitious one is, some kind of recursive element where it becomes multiplayer, right? Like here, there's a single player element, you're not [00:25:00] modeling any other people involved.[00:25:01] And that is a whole other thing.[00:25:04] Fan-yun Sun: But in fact, we can really do multiplayers. Oh yeah, okay. I haven't seen any double situations. So just actually just like prompt our, our model to say, Hey, like configure to multiplayer. Then it'll do like this. You'll be able to configure multiplayer[00:25:16] swyx: great[00:25:17] Fan-yun Sun: persistency database for you.[00:25:18] Easy. Yeah.[00:25:19] Vibhu: So what, what are like some of the current limitations in where we're at? So there's one approach of like, okay, scale up video predictors. Obviously there's data issues. With approaches like this, is it data constraints? What are like the next steps? Is it real time? Like, so there's one side of, write an agent to write Unity code, but okay, I want to be streaming a game real time.[00:25:38] I want to have characters being also like agent, but where, where do we kinda see this scaling up? Right?[00:25:44] Fan-yun Sun: Yeah, there's definitely a data constraint. Like the more data, the, the better. This reasoning model can almost basically act as humans to like operate a variety of tools and softwares to build whatever's necessary.[00:25:57] And then there's a sort [00:26:00] of fidelity constraint, which we're actually solving with another model, which we can talk about later. But it's like, it's not as easy to get to photorealism with the approach that we're taking. But we think there are better solutions to that, which is we can dive into later.[00:26:14] Later.[00:26:15] Vibhu: The one one thing you note here is it's a diffusion model, right? So there's, there's a few approaches, diffusion caution, splatting, yeah, so Ry diffusion model, you guys wanna[00:26:25] Fan-yun Sun: Yeah.[00:26:25] Vibhu: Introduce,[00:26:26] Fan-yun Sun: yeah, totally.[00:26:26] Rie: Neural Rendering & Skins for Worlds[00:26:26] Fan-yun Sun: So within our world modeling framework, we think there are two models that we train, right?[00:26:31] Like, there's the multimodal reasoning model that we just talked about that essentially handles. Mainly the, the causality, the persistency and logic determinism of the world. And then RY is our bet on saying, okay, like while all those model, can take care of all these things that we just talked about, it's limitations compared to existing, say, video models, is that it doesn't have as high of a pixel [00:27:00] ality right off the gate, right?[00:27:02] And EE is to say, Hey, we can actually take whatever persistent representation that we generate with our multimodal reasoning model and learn to restyle it into photo photorealistic styles or arbitrary styles you want. So this model is almost to say, Hey, I'm going to respect the persistency and interactivity of the world that you created, but my only job is to make sure that its pixel distribution is close to what we want.[00:27:29] Vibhu: Yeah.[00:27:30] swyx: Great example right there. You kept the KL divergence.[00:27:33] Fan-yun Sun: Oh. Where,[00:27:34] swyx: no, no. I mean this, this is a, a classic like, how you don't stray too far from the source material as you, you kept the kl, which is Oh yeah. Kind of cool. Yeah.[00:27:43] Fan-yun Sun: Yeah.[00:27:44] swyx: I mean, and the[00:27:44] Chris Manning: difference is, and I mean sun was pointing at this, where sort of saying it's in one way a more difficult path, but a better path that, typically the diffusion models are producing the whole scene and it looks lovely, [00:28:00] but there isn't spatial understanding behind it, which is allowing for the real time graphics gameplay, the spatial intelligence, understanding the consequences of worlds where this is, taking a path where it is assuming an abstracted semantic model of the world's state.[00:28:20] And then the diffusion model is then being used on top of that to produce the high quality graphics.[00:28:27] swyx: Is there an intended practical, or business use for this, or is it like a, like a demonstration of capabilities?[00:28:34] Fan-yun Sun: We actually believe that this is gonna be the next paradigm of rendering. So it's gonna replace how ra raizer, it's gonna replace DLSS today because it not only has these pixel prior that's learned from the world such that you can literally play any game in photo realistic styles, which is a lot of people's desire when they do GTA, right?[00:28:51] Like,[00:28:51] Vibhu: all the mods, all the people adding perfect lighting and all this.[00:28:54] swyx: So[00:28:54] Fan-yun Sun: skins[00:28:55] swyx: for worlds, let's call it[00:28:56] Fan-yun Sun: skins, let's call it skin for worlds. I,[00:28:58] Vibhu: it's also like, you can call it skin, you can call it [00:29:00] customization. You can play it how you want, right?[00:29:01] Fan-yun Sun: Yeah, exactly. And I think another thing that we really pointed out specific specifically in this blog is the programmability of it, right?[00:29:09] So what this means is that this render historically render is always a derivative of the game state, right? You're saying, oh, here's the game state, I'm rendering out a frame. But here I'm saying actually this render can be part of the gameplay loop. I can say something along the lines of, if upon getting 10.[00:29:26] Apples, I'm gonna, my weapon of choice, my bullet's gonna turn into apples. And that's, that's possible because we can say, we can basically dynamically have certain game state trigger the, the preconditions to the render such that the rendering is now part of the game loop too. One thing is to just say, okay, it's, it's, it's the appearance.[00:29:47] But the second thing is also to say there's these novel interactions that are possible because this render now has actually priors of the world.[00:29:57] swyx: It is up to the artist to figure out what to do with it.[00:29:59] Fan-yun Sun: It [00:30:00] is up to the creators. Yes.[00:30:01] swyx: Yeah.[00:30:01] Fan-yun Sun: And I also think that's actually another big argument that we're making and the reason that we're picking, taking the bet we're baking is that a lot of the times, whether it's for embody AI gaming, like you want a layer where human can inject their intentions.[00:30:15] So, for example, let's just say in the context of gaming, it's obviously like my creative intent, but maybe in the context of embodied ai, it's like, oh, like I take this foundational policy and I want to actually fine tune it to deploy in my house. So you want to almost say, inject, have a layer where human can say, oh, here's the distribution of things I want to create to achieve my goal.[00:30:35] And I think 3D graphics as it as it is today, is basic, the layer for people to say, Hey, what do I care about in this world? And it allows, basically human intent to be expressed in these worlds much more explicitly and distributionally as opposed to just saying, Hey, I'm gonna generate like, arbitrary.[00:30:54] And it's like just prompts,[00:30:55] swyx: it's one of those things where like, I think you, you're going to build up a series of models, right? [00:31:00] This is just one of, this is probably like the highest utility or heaviest, frequency one, I don't dunno what to call this. Where like you Yeah. You can immediately drop this in on any game and you don't need anything else that.[00:31:10] That you guys do. But, I, I could see, I could see that I think the, the human intent is something that people are not even used to because we're so used to static worlds or, worlds that just don't react, or, I don't know. It's, it, you're kind of blowing my mind right now with like, I'm, I wonder if you've talked to people at GDC Hmm.[00:31:27] And what are they gonna do with it?[00:31:30] Fan-yun Sun: Yeah. Now the stance that we take on this front is like, we're not gonna be more creative than our users to ship[00:31:35] swyx: it out.[00:31:35] Fan-yun Sun: Yeah. But we wanna make sure that we're building things in a way that really allows them to express their intent.[00:31:41] swyx: The thing that you said about, here's the distribution that I want.[00:31:45] I think text may be too low of a bandwidth to. To really demonstrate, because I, I, there, I'm, I'm probably just gonna want to drop in a bunch of, reference assets and then you can figure it out from[00:31:58] Vibhu: there. But you probably wanna do a, a mixture of [00:32:00] both, right? Like you throw in a few images. I wanted this style.[00:32:02] Yeah. I want it to look like this. So it, it's, it's a mixture, right?[00:32:05] Chris Manning: I, I think it's a mixture. I mean, yeah, I mean there's clearly a visual component of this, and it's not that, everything can be text. ‘cause of course you want to give a visual look, but there's also a massive amount of giving the overall picture of the look of the world and the behavior of things that you can express in a few words of text.[00:32:32] And it be very time consuming and difficult to do via visual means. So I think, yeah, you want a combination of both.[00:32:40] Evaluating World Models[00:32:40] Vibhu: So one question I kind of have is, how do we go about evaluating world models? So like, there's many axes, right? One is like, okay. I have preferences. How well do we adhere to prompts? One is the simulation.[00:32:50] One is like do things, is there core logic that's broken? So coming from we know how to evaluate diffusion, there's fidelity, there's [00:33:00] stuff like that. But what are some of the challenges that most people probably aren't thinking about?[00:33:04] Fan-yun Sun: Yeah, I think this is like a great question and probably one of the hardest questions in role models because like, I think it always comes back to what are you building this role model for?[00:33:13] And depending on your end goal and purpose, the evaluation should defer. So in the context of games, then the most direct way of measuring is how much behind are people actually spending in this world that you create? And if your goal is to say, for example, in the context that we just talked about, like, hey, deploying, deploying action in body, a agent, then your, your end.[00:33:33] Metric is then, okay, after training in these worlds that you generate how robust it is to when you actually deploy to the target environment. But then, it's, it's hard to measure these end metrics. So today people have like these proxy metrics that I call that basically try to measure what we really care about, which is the end metrics, but then frankly it's different for every use case.[00:33:57] Yeah,[00:33:57] Vibhu: which seems like quite a challenge, right? Like in [00:34:00] in language models or video models. Image models, your benchmarks are proxies, right? People aren't actually asking instruction, following tool use questions. They're proxies of how well it will do downstream. But for this, so like, should teams, should companies have their own individual benchmarks outside of games?[00:34:16] If you think of stuff like, okay, video production, movies, stuff like that, that also want to use world models. Should, should they sort of internalize like. Their own proxy. Is this something you guys do? Where, where does that connect[00:34:28] Chris Manning: go? Yeah, I think this whole space is extremely difficult as things are emerging now.[00:34:35] And I mean, it's not only for world models, I think it's for everything including text-based models, right? ‘cause in the early days it seemed very easy to have good benchmarks ‘cause we could do things like question answering benchmarks and could you answer the question based on these documents and the various other kinds of, do pieces of logical reasoning or math.[00:34:58] But again, these are sort of. [00:35:00] And there were sort of visual equivalents of things like object recognition, right? For these small component tasks. These days so much of what people are wanting to do also with language models is nothing like that, right? You're wanting to, have an interaction with the language model and get some recommendations about which backpack would be best for you for your trip in Europe next month.[00:35:25] And it's not the same kind of thing, right? And it's not so easy to come up with a benchmark as to does this large language model give you an effective interaction for guiding you in a good way for shopping, right? So, and it's the same problem with these world models. So if we take the game design case, well success is that a game designer can.[00:35:57] Produce what they are [00:36:00] imagining in a reasonable amount of time. And that's really the kind of macro task. That's a very hard thing to turn into a benchmark and I think a lot of this is actually going to turn into people walking, walking with their feet. Right? I mean, I guess that's what's happening, at the large language model level, right?[00:36:23] When people are choosing to use, GPT five or Gemini or clawed, individuals are trying out these different models and deciding, oh, I like the kind of answers that GT five gives me, or no, I feel like I get more accurate detail from Claude, right?[00:36:43] Vibhu: It's a lot of[00:36:43] Chris Manning: vitech, a lot of people just using it.[00:36:45] It's vibe checking. I realize that, but it's actually whether. People feel it's giving them utility in what they want. Right.[00:36:52] Vibhu: And the the interesting thing there is like a lot of people prefer the visual, right? This looks pretty, which is not the objective of what this is [00:37:00] for, right? It's if a, if a game designer is working on something, they care about the game engine, right?[00:37:04] The state, it's, it can look whatever. You can fix that up later. Or you can have a really good game state and you can quickly edit it to 20. 20 different versions, like Keep State,[00:37:14] Chris Manning: right?[00:37:14] Vibhu: So[00:37:14] Chris Manning: that's a really important distinction, for and for speaking to Moon Lake strength, right? So, yeah, great visuals are lovely to look at for a few seconds, but gains are really all about the concept, the game play.[00:37:33] And a lot of the time that doesn't actually even require great visuals. I mean, there are just lots of very successful games which have relatively primitive visuals, and there are other games where people have spent millions producing photo realistic, visuals, and the game sucks, right? So, keeping those two axes apart is really important in thinking about what's important in a [00:38:00] world model for different uses.[00:38:02] swyx: This conversation is reminding me of some game review and fiction discussions I've, had in my sort of non-AI related life. Some, for some people might know Brandon Sanderson, who's a very famous, fiction author, had, is is a big game reviewer. And he, he's a big fan of video games where you change one thing about a normal what you might assume about, about the world.[00:38:22] For example, Baba is you, I don't know if you might have come across that, where like the rules change as you play the game. And also like where, you can do things like reverse time selectively or like change gravity selectively. And I think this is also reminds, reminds me of other kinds of world models that are created by authors.[00:38:38] Where Ted Chang is, is my typical example where he'll take the world that, you know today, but change one thing about it and, but then create a consistent world based on that. Which is long-winded answer of me to, of. For me to say is it's it easy to create alternative roles that don't exist, but you change one thing and then let's, let's run a whole bunch of people through it to see if it works.[00:38:58] Chris Manning: My first dance will [00:39:00] be, that seems a lot easier and more conceivable to do using Techn technology like Moon Lakes than with some of the other world models out there, where the sun can actually make it happen. I'll let him give a second answer.[00:39:15] swyx: If I guess for you, you're constrained by the game engine tool, right?[00:39:18] Like at the end of the day, that's the, that's the thought, partner that you have. If I ask for something where like, if it never is allowed to reverse time or if gravity only ever works one way, then well that's it. But sometimes gravity might change,[00:39:33] Fan-yun Sun: but it's a lot easier to change with code as opposed to a model that is learned primarily on data of.[00:39:42] Real world and virtual worlds that are, I guess, like for example, junior, like there's actually trained on a lot of real world data and a lot of virtual gaming data, and it's hard to say maybe it's easier to say, okay, I wanna change the visuals in like the time period of, of the world. Like, you can't change gravity, for [00:40:00] example.[00:40:00] Vibhu: I feel like you can to light bounds, right? Everything comes down to like, code is a better way to execute it, but the models aren't that diverse and creative, right? You can say, okay, make gravity slower. It can do that, but it's limited to your representation of how you text it out, right? Like they're, they're only gonna do a few iterations, whereas programmatically, if there's a game engine under the hood, you can kind of go wild, right?[00:40:22] So one of the, I dunno, one of the limitations of most models is that they're very overtrained to one style. Right. And extracting diversity is pretty difficult. At least that's something we've seen.[00:40:35] Fan-yun Sun: I mean, are there examples you have in mind where you Existing models? Yeah. Like it would be easier to do that's not using code.[00:40:43] Certain types of creative intent or like transition state transitions,[00:40:47] swyx: Clipping, other models, other wo models are very good at clipping through things. Clipping my, my, my legs clipping through a rock because it's, it's just, it's just bad. [00:41:00] Like, you would have to struggle very hard with your stuff to actually make that happen.[00:41:04] Which I think is maybe a topic that you actually prepared on, Gian Splatting versus, the other stuff.[00:41:09] Vibhu: Yeah. Yeah. It's just for those not super familiar, right? There's a, there's gian splatting, there is diffusion. Like what works, what scales up. I feel like in February when Soro one came out the blog post was literally titled like,[00:41:21] swyx: you bring it up.[00:41:22] You never know.[00:41:23] Vibhu: World, world, video generation models are world simulators. It's super bitter lesson pilled. Yeah, emer, a lot of it is emergence, right? So, not to go through their blog post, basically their whole thing was as you scale up all this consistency, all this stuff just kind of solves, it's a very simple premise, right?[00:41:41] They just scaled up, diffusion, and from there, this is, this is Feb 2024, how much can we, it's already been two years, which is basically five years. How much more in AI time do we need to just scale up or, or do we hit a data cap? But I think we already talked about this a lot, right? Like this is back to the beginning discussion of what's [00:42:00] appropriate for the time.[00:42:01] And that seems like your approach, right?[00:42:03] Fan-yun Sun: Yeah. The point I'm trying to make is that they're very many, many different types of world simulators and like having a world simulator that can produce pixel coherency is very, very useful for games and, marketing and all these things, but it's not as useful as people think when it comes to causal reasoning.[00:42:25] When it comes to embodied ai. Yeah, like it this title is true. We're not saying that it's, it's like, not a great world simulator, but actually in the blog that we, we, we, we wrote, the bet is more so that there are gonna be disproportionately large share of value of real world tasks or, and virtual tasks where high resolution pixel fidelity is not needed.[00:42:47] Yes. Video models have their values.[00:42:50] swyx: Yeah. This is at the absolute limit of my physics understanding, but one example that comes to mind is basically having to solve like ba the equivalent of a three [00:43:00] body problem in a deterministic Well, where the video models, which is approximated good enough. Yeah.[00:43:08] Right. Like there's, there's some point at which your approach kind of runs into like the you now have to simulate the world. Please, thank you very much. And like you're trying to do that, but only to the extent that the game engine lets you and like game engines cannot do some things.[00:43:23] Fan-yun Sun: Yeah, no, I mean, I think the interesting or more technical question here actually is where do you draw the boundary between.[00:43:32] What's handled with, let's say, diffusion prior and what, when? What's handled with symbolic priors?[00:43:38] swyx: Yes.[00:43:38] Fan-yun Sun: Okay.[00:43:38] swyx: Okay.[00:43:39] Fan-yun Sun: Right. Let's go there. Because this, this boundary can actually be fluid. Like I think like maybe what you're trying to get at is like, okay, people are saying pixel prior, everything. But what we're saying is, okay, there's a boundary that we draw where this is where we think provides the most economical value for the domains and things that we care about today.[00:43:59] [00:44:00] And I actually do think, and it's something that we do internally all the time, which is like, okay, given new equations that we learn or new elements of the world and that we, we learn, or maybe some other knowledge that we acquire in the process of developing the models. Should we still be maintaining this line exactly as it is today?[00:44:22] Or should we move it a little bit left or a little bit right? Right. Like sometimes that we realize that, oh, like maybe customers or, or folks like want certain things that are better handled with preop pryor as opposed to, symbolic prior than,[00:44:34] swyx: yeah. Your, your skin thing is a, is a example moving it, right.[00:44:37] Yeah.[00:44:37] Or left. Yeah,[00:44:37] Fan-yun Sun: exactly.[00:44:38] swyx: I dunno what the, the left right is.[00:44:39] Fan-yun Sun: Yeah, yeah, yeah. No the, the model.[00:44:42] swyx: Yes.[00:44:42] Fan-yun Sun: Actually we have a few iterations of them. They're actually at slightly different[00:44:45] swyx: I know boundaries. You should, you should do that. That's a cool dimension to show.[00:44:49] Fan-yun Sun: Yeah.[00:44:50] swyx: Is quantum mechanics the diffusion prior of our world?[00:44:55] Right. It's like that's the boundary of classical mechanics versus quantum. Right? Like, that's it. At one [00:45:00] point God plays dice and the other point doesn't.[00:45:02] Fan-yun Sun: I dunno if Chris, you wanna say it, but I think, I think generally I feel like physics is better with symbol P priors.[00:45:08] Chris Manning: Even quantum physics.[00:45:09] Fan-yun Sun: Even quantum physics.[00:45:11] swyx: Yeah. This is starts against to, MLST territory is, is what I call it, where, he, he likes to get philosophical. We, we we're quite friendly.[00:45:18] Vibhu: I mean, we need to get, we need to get singularity. I heard some of that.[00:45:23] swyx: No, no, I think that is actually really helpful and man, I just want you to productize this like, as a product guy, I'm just like, oh, also[00:45:32] Vibhu: a gamer, I[00:45:33] swyx: wanna, it's like a researcher, like, it's cool.[00:45:35] Like this is a, the theoretical, like you have a very good, I don't know, like the way of thinking about these things, but I just wanna see you like, express it. I do think like your fundamentally things when, when you leave open new tools, like, okay, use, use human intent to incorporate it into how you render.[00:45:52] Artists are gonna have to take like two to three years to figure out what to do with this. And you just don't know.[00:45:57] Chris Manning: Right. But I think, this is, [00:46:00] gives a much more approachable and controllable world for the society, which is the beauty, the beauty of, NLP, that that will enable it to be adopted and used.[00:46:10] And we are very hopeful about that. Yeah,[00:46:13] Fan-yun Sun: yeah. Yeah. I mean, we are, we are very focused actually on commercialization in the sense that like we do, we do really believe in the data flywheel app approach. Yeah. Where, we put this in the hands of the creators and the users and then they will teach us when, what capability our model should improve.[00:46:27] And that's why we are, we are actually, like products and beta[00:46:31] swyx: Yeah. Focusing on gaming. What, what's like the adjacent thing to gaming[00:46:34] Fan-yun Sun: embody adjacent, basically. So maybe we can, we can I'll maybe start with where we see the platform in three years. Yeah. Which is like, okay. The users would tell us what they want to achieve.[00:46:45] The end goal could be, Hey, I just, I wanna make something to teach my kids the value of humility. Or it could be, Hey, I wanna fine tune my, drones to be really good at rescue situations. I could be vacuum robots. I want to like train [00:47:00] my manipulation or like vacuum robot to be very robust to my office, right?[00:47:04] But it's like, whatever it is, scenario robust to[00:47:06] swyx: my office[00:47:07] Fan-yun Sun: or like navigate very robustly in my office. But then it's like, whatever end goal that you want, our role model will say, okay, given what you want to achieve, let me generate a distribution of environments such that I can train and evaluate whatever it is you want.[00:47:24] Yeah. Right. Maybe for the purpose of games, it's just the end simulation and that's the end product for certain policies. It's like I can train it within these environments and then help you see where your policy is failing or not. Yeah. And then, so I think,[00:47:37] swyx: so in that case, much more of a training tool.[00:47:40] Than in other training[00:47:41] Vibhu: evaluation? Both. Right?[00:47:43] swyx: Sure. Same. Same thing.[00:47:43] Fan-yun Sun: Yeah, same thing. I think it's just this role model that allows people to train any policy that can act in any multimodal environments.[00:47:51] swyx: Would it be harder to reward hack? Is there an angle here where it is harder to reward hack? Like it's just, I'll just put it generally because I think that's a, that's obviously a key [00:48:00] problem that a lot of people face when in training agents in these environments, and I don't know, can you solve it?[00:48:07] Chris Manning: I think not necessarily. To the extent that there's a mis specified reward that. It seems like it could be hacked in a more symbolic world or in a more pixel based world. I dunno if Sun's got any thoughts, but I don't think that's really being solved.[00:48:26] swyx: The other thing that comes to mind is just you could just build a better sawa as a video generator model, right?[00:48:31] Because then you, you would move the diffusion, side a bit more further to the right. I think if I got the directionality correct. And that's it.[00:48:40] Vibhu: It's better on domains, right? Like on consistency over now, or for sure it exists versus something doesn't, right.[00:48:46] Chris Manning: So[00:48:46] swyx: yeah. Yeah. Is[00:48:49] Vibhu: is a question more like, like[00:48:51] swyx: I'm just riffing on like, how do you, what can you build, you know?[00:48:54] Oh, with the stuff that you have. I do think that the minor, the academic does go immediately to training [00:49:00] and in eval evaluation, but like art tends to take unusual directions. Like you might end up,[00:49:06] Chris Manning: okay. Yeah. But the question is, can you use this piece of software to develop compelling gameplay and. I don't think you can take SOAR and produce compelling gameplay, right?[00:49:19] If you want to have a world that you can wander around in a bit, you are good. But what are your abilities to have gameplay mechanics implemented the way you'd like them to be and to have things stay, with the long-term history of your gameplay that influences future actions. I think there's just nothing there for that.[00:49:39] swyx: Yeah, I do tend to agree. I, I'm just trying to sort of test the boundaries. I would also make the observation that as AAA games industry has developed the line between what is a movie and what is a game has blurred. And you, you, you do end up basically producing a two hour movie as part of your game.[00:49:57] Fan-yun Sun: No, honestly, there, there's so many actually [00:50:00] applications in adjacent markets that our world model can go into. Yeah. But yeah, it, it's sort of fun to riff, riff on. Although on the execution side, we we, we need to stay focused with like, okay, what are the capabilities we want to unlock over time?[00:50:11] And there's a roadmap for that. But yeah, if we're just riffing on sort of like the possibilities, I feel like, whether it's endless Yeah, it's like classic[00:50:18] swyx: and the embedding for a possibility and endless in my mind, it's very close. Yeah. I do wanna, focus on one, like weird choice. I, I don't know if it's weird.[00:50:28] Maybe I'm, I got something here. Audio, right? You could have just said no audio And audio in my mind has a lot of recursion, whereas in video you can just do recasting and that's much computationally much simpler. Audio just seems way harder. I don't know if you wanna just comment on just the special 3D audio.[00:50:46] Problem. Did you really have to do it? I guess you do to be immersive, but like a lot of people do treat it as like, well, you just stick a, a tt S model on top of[00:50:57] Vibhu: Well, there's a lot more to game audio than [00:51:00] just speech. Right. It's not just[00:51:01] swyx: tts. Yeah. Tts. S Fxt, GM Spatial in my mind Echoes[00:51:06] Chris Manning: Yeah.[00:51:06] swyx: And reflections.[00:51:07] And I, I don't even know what's, what else? I don't know what, what other problems in this space.[00:51:13] Fan-yun Sun: Yeah, I think this point like the, it's sort of a more, more pointing to the benefits of using an game engine as a tool that's available to the model, right? Because like part of the spatial audio is from the code that is underlying the simulation.[00:51:32] And while we do give our model access to other types of audio models as. Tools.[00:51:39] swyx: None of them would be spatial, I think.[00:51:41] Fan-yun Sun: But that's exactly sort of more 0.2. We're giving our model an abstraction or a suite of tools such that it's able to achieve that. And you can argue that sort of spatial is like a, like a emergence out of the, the tools that we and abstraction that we provide to the agents.[00:51:59] And I think that's the beauty of [00:52:00] this, this, this approach is like there's a lot of things kind of like how human's built technology and they're like Lego blocks that build on top of each other. And it's the same thing here. There's gonna be things that sort of just sort of emerges from being able to put these things together in like combinatorially interesting ways,[00:52:14] Chris Manning: right?[00:52:15] So this integrated audio model exploits the understanding and semantics of the Moon Lake world, right? And whereas in general for the Gen AI video models. There's no actual integration across to audio at all, right? That someone might stick some music or stick a soundscape or whatever else on top of their video.[00:52:44] So it's not a silent video, but they're in no way connected into a consistent world model. And there's nothing that's okay. An action is happening in the video. Therefore there should be a sound that's [00:53:00] coming from this part of the visual field.[00:53:03] swyx: Yeah.[00:53:03] Vibhu: Is that different than Sora too? Does it not have audio?[00:53:06] Not to say it's not like[00:53:08] swyx: amazing[00:53:08] Vibhu: isn't a spatial[00:53:09] swyx: audio.[00:53:09] Vibhu: It doesn't,[00:53:10] swyx: no. I've played around it with it enough. It just sounds like someone put an 11 laps voice on top of it and just tried to do the lip sync.[00:53:18] Vibhu: Oh, yeah. I've seen, okay. Generate a dog at the beach and reactions to big wave and move[00:53:23] swyx: around.[00:53:23] It's definitely like, so have the dog, have the dog move away from camera and see if the, the song goes down. It doesn't. ‘Cause they don't have facial audio.[00:53:32] Fan-yun Sun: We do want to basically like we, our moral model, like the one we're training is basically towards the goal of having a combined latent representation across all these different modalities.[00:53:42] Right? Such that it can like reason across these different modalities. So for example, if I close my eyes and like you play a video, you play a sound of like a car skidding away from me. I almost can like, visually extrapolate that trajectory in my mind. And I think that type of capability, we want our model to be able to reason, right?[00:53:59] And that's the reason that [00:54:00] we're sort of taking this multimodal reasoning approach. It's like we want this combine late in space that can[00:54:05] swyx: Yeah. Oh, you said late in space. We like that. Here we have to play the, the bell Every time that someone says late in space, no, you gotta train daredevil one. Where you, you, you, it's only audio, but you have to work out.[00:54:15] Where everything is.[00:54:19] Cool. I I think that that was, that was about it for our Moon Lake coverage. I do think that we have like a couple of, Chris Madden questions on, on IR and, just any, any other sort of attention topics or n NLP topics.[00:54:31] Vibhu: Okay.[00:54:31] swyx: Go ahead.[00:54:32] Chris Manning's Journey: From NLP to World Models[00:54:32] Vibhu: Well, no, I mean, yeah, it's just fun. We talked a bit about how you guys met, but you basically, you, you were like the godfather of NLP per se, right?[00:54:39] You spent the whole career from early embeddings, early early attention. You did 2015 attention for machine translation, everything. You, you had information retrieval, so RAG before rag, we just wanna shout that out and admire a lot of that. Right? So what prompted the switch over to world models?[00:54:56] How, how'd all that come about?[00:54:58] Chris Manning: To some answer it [00:55:00] is, the enthusiasms and creativity of students, but there's a bit of a history there, right? So, yeah. So clearly most of my career has been doing stuff with language and how I got into research was thinking, ah, this is just so amazing how humans can produce speech and understand each other in real time.[00:55:21] And somehow they managed to learn languages from their kids. How could this possibly happen? And so, yeah, starting off I was very focused on language, but as it sort of got into the 2000 and tens, I started, going, I'd been working on question answering, and then I started to get, interest in visual question answering.[00:55:42] And that was an area where it was very noticeable. That the visual understanding was bad. Right. These were the days when like, it sort of seemed like there's almost no visual [00:56:00] understanding. You were just getting answers that came from priors. So, if you asked how many people are sitting at the table, it'd always answer two regardless of how many, how many people you could see in the picture.[00:56:11] And so it seemed like, oh, these models actually aren't able to get semantic information outta

Communication isn't owned by one profession, it's something we all share and protect together.I'm joined by Dr. Lilith Reuter-Yuill "Dr. RY" for a thoughtful conversation about what it really takes to ensure communication access for every learner. We talk about her journey from sign language interpreter to dually certified SLP and BCBA, and how that shaped her passion for collaboration and innovation.We dig into some of the biggest friction points between disciplines, especially when it comes to AAC. One of the biggest takeaways is this, there is no one right tool or pathway. We have to start with the learner, the context, and the full communication repertoire. I also loved our conversation about moving away from quick fixes and toward meaningful, individualized support that actually generalizes.We also share a preview of her upcoming course inside the ABA Speech Connection, where we'll explore sign language, AAC, and how to thoughtfully select communication modalities that truly fit each learner.#autism #speechtherapyWhat's Inside:Why communication access must be individualized and context-drivenCommon misconceptions about AAC and over-reliance on high-tech solutionsHow collaboration between SLPs and BCBAs improves real-world outcomesMentioned In This Episode:BridgifyBridgify's CommunityIdaho ABA Conference 2026Earn CEUs with a community of peers. Join the ABA Speech ConnectionABA Speech: Home

1922's "In a Grove," a short story by Ryūnosuke Akutagawa, is a study into the nature of truth. It centers around the death of a samurai, with four different accounts of how he came to meet his demise being presented. Akira Kurosawa, without whom there would be no "Star Wars," adapted the short story into his 1950 film "Rashomon." This episode is neither of those things, but we do get into Helen Keller, Christmas, the Tooth Fairy, and what it is exactly that makes something a lie. Give it a listen, it's a good one. #rashomon #truth #lies #christmas #toothfairy #trading #rabbithole 

In this episode, we break down what goeasy’s collapse could signal for the broader Canadian economy and banking sector. We revisit past Canadian bank failures, connect them to today’s rising job losses and economic weakness, and explain why subprime lenders tend to crack first in a downturn. We also discuss whether Canadian banks could face headwinds after a strong run, and compare Goeasy to Propel to assess risks across alternative lenders. Tickers: GSY.TO, PRL.TO, RY.TO, NA.TO, CM.TO Subscribe to our Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Our New Youtube Channel! Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Drinks On Us with @rosemcmahonn & @sincerely.ryleigh. S03 E10 of Drinks On Us is all about nostalgia! The girls chat about things they miss from their childhood & what they want to bring into their children's childhood. Tune in for special segments including Sip & Spill, What's In Our Cart, & The Girls' Room. Sit back with your favorite beverage and relax, because the drinks are on us!WHAT'S IN OUR CART:Rose - https://liketk.it/5YPFm Ryleigh - https://liketk.it/5YQQq General Links - https://msha.ke/drinksonus/Join the After Party for more exclusive content! Patreon.com/DoucrewFollow Rose & Ry on Instagram & TikTok: @rosemcmahonn @sincerely.ryleighFollow @drinksonuspod on Instagram & TikTok to join the Happy Hour Club!For business inquiries: Roseandryleigh@gmail.comAudio and video podcasts edited by Penderville Films LLChttps://www.pendervillefilms.com Hosted on Acast. See acast.com/privacy for more information.

In our very first YouTube Live (also released on the podcast feed), we pivot from a planned “all-banks” episode after major U.S. and Israeli strikes on Iran pushed markets into risk-off mode. We break down the key market transmission mechanism—energy—through the Strait of Hormuz, rising shipping risk, and why yields can rise during conflict when inflation expectations jump. From there, we shift into what Canadian investors actually own: the banks. We recap earnings and credit trends across Royal Bank (RBC), TD, National Bank (NA), and CIBC, including loan/deposit momentum, net interest margin commentary, and what provisions/allowances are signaling. We also discuss the “do nothing” historical playbook for geopolitical shocks—plus why oil-driven conflicts can be the exception—and wrap with how we’re thinking about positioning (cash, Canadian energy exposure, and watching for opportunities if volatility expands). Tickers mentioned: RY.TO, TD.TO, NA.TO, CM.TO, LMT, RTX, NOC. Watch the full video on Our New Youtube Channel! Check out our portfolio by going to Jointci.com Our Website Canadian Investor Podcast Network Twitter: @cdn_investing Simon’s twitter: @Fiat_Iceberg Braden’s twitter: @BradoCapital Dan’s Twitter: @stocktrades_ca Want to learn more about Real Estate Investing? Check out the Canadian Real Estate Investor Podcast! Apple Podcast - The Canadian Real Estate Investor Spotify - The Canadian Real Estate Investor Web player - The Canadian Real Estate Investor Asset Allocation ETFs | BMO Global Asset Management Sign up for Fiscal.ai for free to get easy access to global stock coverage and powerful AI investing tools. Register for EQ Bank, the seamless digital banking experience with better rates and no nonsense.See omnystudio.com/listener for privacy information.

Drinks On Us with @rosemcmahonn & @sincerely.ryleigh. S03 E09 of Drinks On Us is all about resetting for spring! The girls chat about things you can do in your home & lifestyle to feel lighter this season. Tune in for special segments including Sip & Spill, What's In Our Cart, & The Girls' Room. Sit back with your favorite beverage and relax, because the drinks are on us!WHAT'S IN OUR CART:Rose - https://liketk.it/5Xa4P Ryleigh - https://liketk.it/5XalI General Links - https://msha.ke/drinksonus/Join the After Party for more exclusive content! Patreon.com/DoucrewFollow Rose & Ry on Instagram & TikTok: @rosemcmahonn @sincerely.ryleighFollow @drinksonuspod on Instagram & TikTok to join the Happy Hour Club!For business inquiries: Roseandryleigh@gmail.comAudio and video podcasts edited by Penderville Films LLChttps://www.pendervillefilms.comHead over to wenatal.com/DOU to start your WeNatal routine today, and receive a free magnesium supplement ($30 value) with your first prenatal subscription. Hosted on Acast. See acast.com/privacy for more information.

Drinks On Us with @rosemcmahonn & @sincerely.ryleigh. S03 E08 of Drinks On Us is all about pregnancy and new mom life. The girls answer listener questions and chat about their current stage of life. Tune in for special segments including Sip & Spill, What's In Our Cart, & The Girls' Room. Sit back with your favorite beverage and relax, because the drinks are on us!WHAT'S IN OUR CART:Rose - https://liketk.it/5VxTC Ryleigh - https://liketk.it/5Vy85 General Links - https://msha.ke/drinksonus/Join the After Party for more exclusive content! Patreon.com/DoucrewFollow Rose & Ry on Instagram & TikTok: @rosemcmahonn @sincerely.ryleighFollow @drinksonuspod on Instagram & TikTok to join the Happy Hour Club!For business inquiries: Roseandryleigh@gmail.comAudio and video podcasts edited by Penderville Films LLChttps://www.pendervillefilms.com Hosted on Acast. See acast.com/privacy for more information.