Podcasts about Lemar

Pride Month hits the highway this week on We Drink & We Watch Things as we move into our "B" selection, tackling Alfonso Cuarón's sizzling, groundbreaking 2001 road movie, Y Tu Mamá También. It's time to have a Charolastra Shooter - if you know you know - as we pack our bags and head out on a spontaneous Mexican road trip toward a fictional beach that might just change everything.This week, we unpack the fluid, charged dynamics of the film's central trio: Diego Luna's Tenoch, Gael García Bernal's Julio, and Maribel Verdú's captivating, enigmatic Luisa. We analyze how Cuarón treats sexuality not as a rigid label, but as an honest, evolving expression of youth, intimacy, and unspoken desire - culminating in that famously intense, barrier-breaking night that alters the boys' friendship forever. We also examine the film's dual layers, looking at how the breathless, hormones-first journey of the characters contrasts with the narrator's melancholic observations about the shifting political and economic landscape of Mexico passing right outside their car windows.If you love movies that blend raw, uninhibited coming-of-age energy with a deeply poetic sense of time and place, this episode is a must-listen. We're blending our fascination with the film's complex character study with our usual casual banter, making this a brilliant, sun-soaked third chapter in our Pride Month celebration. Life is like surf, so give yourself away to the sea!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Réécoutez le FG Chic invite la Resistance Paris by Yann Vico du mardi 16 juin 2026Tracklist :1. Joey Negro – Must Be The Music (The Original Disco Mix)2. Yann Vico – Sarà Perché Ti Amo (Extended Mix)3. Makèz & LYMA – Come Back Tomorrow (Extended Mix)4. Lemar, Donae'O, Omar – Nights Like This (Dave Lee Extended Remix)5. Michael Gray, Bran Mazz – Medicine (Extended Mix)6. Kiko Navarro, DJ Fudge, Tia Collins – Show You The Way (Original Mix)7. Sweet Georgie, Tosha Marie – Mood (Dr Packer Extended Mix)8. Mark Funk, Danny Cruz, Anna Ingram – It's Up To You (Extended Mix)9. DJ Disciple, Blessing, Shino Blackk – Here We Go Again (Blackk Vokal Remix)10. Jocelyn Brown, Incognito, DJ Bert Bevans – Always There (DJ Bert Bevans Disco Mix)11. Walter G – Ferme Les Yeux (Original Mix)12. Risk Assessment – Please Honey (Original Mix)Infos et Booking Yann Vico sur :  - Instagram : https://www.instagram.com/yann_vico_dj/ - FaceBook : https://www.facebook.com/yannvico - Soundcloud : https://soundcloud.com/yannvico - Bandcamp : https://yannvico.bandcamp.com/ 

Your weekly mixtape of Funk, Soul, Disco, House, and a few things in between.  Vin & Vinyl • Tim Titsworth For More Info:   toolcrateradio.com or @vinandvinyldj Call Me | SkyyTrapped On The Beat | Block & CrownAi No Corrida | Quincy Jones, DuneI Love How You Feel  | Sharon ReddLove's Got Me High (Marc Romboy's Systematic Soul Mix) | Terrence ParkerNights Like This | Donae'o, Omar, LEMAR, House Gospel ChoirDancin' in my Eyes (Risky Rework) | Risk AssessmentKeep On | Block & Crown, LissatBack To Life (Booker T Kings Of Soul Satta Dub) | Soul II SoulThe Love I Lost | Mark ImperialLove Can't Turn Around | Farley “Jackmaster” Funk Music Sounds Better With You | StardustLe Freak | ChicYou Make Me Feel (Mighty Real)(Michael Gray Remix) | SylvesterFly Up to the Sky | BabertJust Can't Get Enough | Channel TresBack To My Roots | DiscotronYou & Me (feat. Eliza Doolittle) | DisclosureKing Of My Castle (Roy Malone's King Mix) | Wamdue ProjectSenorita Remix (Perfect Driver Music) | TAISUNCola (Mousse T.'s Glitterbox Mix) | CamelPhat, ElderbrookCandle Flame(Opolopo Remix) | JungleThat Lady, Pts. 1 & 2 | The Isley BrothersBrick | Dazz

Pride Month keeps the celebration moving on We Drink & We Watch Things as we transition from the quiet, burning embers of 18th-century France to the bright, neon-soaked drag capital of South Beach. For our "G" selection in the lineup, we are throwing it back to 1996 for Mike Nichols and Elaine May's sublime masterclass in comedic farce: The Birdcage. Mix yourself something wonderfully refreshing - perhaps Lemar's "Straight" Bourbon - and get ready for a family dinner where absolutely nothing goes according to plan.This week, we celebrate the legendary chemistry between Robin Williams and Nathan Lane, looking at how Williams plays the perfect, anchored straight man (pun intended) to Lane's fiercely dramatic, Barbara Bush-redefining Albert. We bask in the glorious, scene-stealing supporting work of Hank Azaria as the perpetually barefoot Agador Spartacus and Gene Hackman as the ultra-conservative Senator Keeley, who unwittingly ends up in the drag escape of a lifetime. We also break down the film's incredible heart, discussing how beneath the chaotic Martha Graham choreography, the "eco-friendly" naked-boy pottery, and the frantic attempts to pass as straight, it is a deeply moving portrait of unconditional love and a radical defense of queer families.If you can instantly recite the difference between a John Wayne walk and a regular walk, or if you just want to hear us gush about the comedic genius of an Elaine May screenplay, this episode is pure joy. We're blending our adoration for this comfort-movie masterpiece with our usual casual banter, proving that when the world gets crazy, sometimes you just have to give 'em a little bit of Fosse, Fosse, Fosse!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Pride Month is officially taking over on We Drink & We Watch Things! For the entire month of June, we are celebrating LGBT representation in cinema by breaking it down by the letters: one lesbian-focused masterpiece, one classic gay comedy, one iconic bisexual drama, and one legendary transgender anthem.To kick off the month, we are diving into our lesbian-focused selection: Céline Sciamma's breathtaking 2019 romance, Portrait of a Lady on Fire. Set fire to a glass of Mackenzie's The Canvas & the Flame as we head to an isolated island in 18th-century Brittany, where every glance is loaded with tension.This week, we bask in the incredible chemistry between Noémie Merlant and Adèle Haenel, analyzing how Sciamma constructs the "female gaze" to create a romance that is intensely passionate without ever feeling exploitative. We break down the film's stunning, painterly cinematography, the complete lack of a traditional musical score (which makes the rare moments of music absolutely explosive), and the devastatingly perfect use of Vivaldi's Four Seasons in the final frame. We also talk through the heartbreaking reality of their temporary freedom and why this film stands as a modern masterpiece of queer cinema.If you love romances that burn slowly but deeply, or if you just want to hear us rave about a film where a single look can break your heart, this is the episode for you. We're blending our deep appreciation for this visual triumph with our usual casual banter, making this a beautiful and powerful launch for our Pride Month celebration.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

We have finally reached the finish line... and honestly, we barely made it out alive. Four movies, four deep dives, and four custom cocktails, all recorded in one single, grueling day. To close out our Space MAYhem marathon, we are tackling the absolute nadir of our recording schedule: the infamous, delayed sci-fi remake filmed under strict lockdowns, War of the Worlds, starring... Ice Cube and Eva Longoria.To survive this final stretch, we had to double down on our drink menu. First, we are introducing "The Impassioned Project"- a concoction Lemar cooked up to power us through. We both absolutely detested this movie, so we also had to throw back a shot just to find the strength to keep the microphones turned on.This week, we rip into the baffling creative choices of this production, from the painfully obvious green-screen backgrounds to the total lack of chemistry between Ice Cube's intensely angry protagonist and Eva Longoria's profoundly confused co-lead. We laugh through the pain of the low-budget digital alien effects, question how an H.G. Wells adaptation managed to feel so small and claustrophobic, and chronicle our own mounting exhaustion as the movie dragged on. It's a therapeutic, hilariously hostile review of a cinematic trainwreck that should have stayed locked in the vault.If you want to hear two podcast hosts completely lose their filters, cross the finish line of a brutal marathon, and bond over shared cinematic trauma, this is the finale you've been waiting for. We're blending our mutual hatred for this flick with our usual casual banter to bring Space MAYhem to a chaotic, tequila-fueled, and slightly lightheaded close. Thank goodness it's over!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

We've officially crossed the halfway mark of our Space MAYhem marathon, and the fatigue is real, but the energy is high! We are still pushing through our single-day recording marathon, and for movie number three, we are throwing it back to the absolute gold standard of 90s summer blockbusters: Roland Emmerich's 1996 explosive spectacle, Independence Day.To survive this round of the marathon, we are shaking up a cocktail as on fire as the movie itself: Mackenzie's "Victory Cigar Old Fashioned"- a sweet and smoked take on a classic, that smells exactly like an alien mothership going down in flames.This week, we bask in the peak-90s charisma of Will Smith punching aliens in the face, Jeff Goldblum using a 1995 PowerBook to take down a technologically superior civilization with a literal computer virus, and Bill Pullman delivering one of the greatest cinematic speeches of all time. We laugh at the glorious absurdity of the science, marvel at the practical effects that still look better than most modern CGI, and debate whether there is a single better scene in cinema history than Judd Hirsch complaining about his lawyer while the world ends.If you want to hear us get deeply nostalgic about the peak era of popcorn cinema while we slowly lose our minds on hour six-ish of our recording day, this is the episode for you. We're blending our childhood love for this blockbuster giant with our usual vibes, making this the most explosive stop yet on our Space MAYhem itinerary. Today, we celebrate our Independence Day!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

We're moving into the second leg of our Space MAYhem marathon, and things are getting much quieter - and much more terrifying. For those keeping track at home, we're still on that same high-speed recording day, and we've officially swapped the "competence porn" of Project Hail Mary for the wordless, nail-biting dread of Brian Duffield's 2023 sci-fi horror, No One Will Save You.The "Space MAYhem" custom cocktail for this round is Lemar's concoction - The Isolated Incident. It's the perfect companion for a movie that features only five spoken words in its entire 93-minute runtime.This week, we admire Kaitlyn Dever's incredible physical performance as Brynn, a woman living in forced isolation who suddenly has to defend her home from an extraterrestrial invasion. We analyze the film's unique approach to the "Grey" alien trope, looking at how the invaders use telekinesis and parasitic control to turn Brynn's town against her - though, as we discuss, the town was doing a pretty good job of that on its own. We also examine the film's shocking ending and its exploration of grief and redemption, asking the big question: would you rather be shunned by your neighbors or accepted by a community of possessed puppets?If you love home invasion thrillers with a cosmic twist, or if you just want to hear how our voices are holding up as we enter the second half of our one-day recording spree, don't miss this one. We're blending our technical appreciation for the film's sound design with our usual casual banter, proving that even in space (or a quiet farmhouse), no one can hear you scream... but they can definitely hear us talk about it.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Welcome to a brand-new month and a brand-new challenge here at We Drink & We Watch Things! This is Space MAYhem. Over the next four weeks, we're bringing you four interstellar adventures, but there's a twist: Lemar and Mackenzie watched all four movies and recorded all four episodes in one single, high-orbit day. That means four movies, four deep dives, and four custom cocktails, all within 11 hours. If we start sounding a little lightheaded by the end of the month, you'll know why.To kick things off, we are starting with the film we've both been dying to talk about - the highly anticipated 2026 adaptation of Andy Weir's Project Hail Mary. Mackenzie has lived and breathed the book, and we both fell head over heels for this cinematic version. Pour yourself our first drink of the marathon - a energizing, solar-flaring concoction we're calling "Astrophage Ignition" (heavy on the caffeine, light on the gravity) - and join us as we wake up on a spaceship with no memory and a very important job to do.This week, we celebrate Ryan Gosling's pitch-perfect return to space as Ryland Grace, capturing that signature Weir "competence porn" where science is the only way out of a death trap. We marvel at the visual effects that bring the Hail Mary to life, but more importantly, we gush over the debut of cinema's new favorite companion (no spoilers here, but fist bump to the VFX team). We also examine how the film handles the book's non-linear structure and the high-stakes mission to save a sun that's being eaten from the inside out.If you love hard science, unlikely friendships, or just want to hear us kick off our most ambitious recording stunt yet while we're still relatively sober, this is the episode for you. We're blending our obsession with the source material with our usual casual banter, making this a stellar launch for Space MAYhem. Evolution, am I right?This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

We've reached the final curtain call for our Cate Blanchett spotlight here on We Drink & We Watch Things, and we're closing out with the performance that officially turned her into an Oscar winner: Martin Scorsese's 2004 epic, The Aviator. It's the ultimate meta-cinematic challenge - one of the greatest modern actresses stepping into the sensible shoes of the greatest Golden Age actress, Katharine Hepburn. Mix yourself something classic and sophisticated - perhaps a Howard's Punch by Mackenzie - and let's head to the golf course.This week, we examine the sheer audacity of Cate's "impersonation-turned-performance," looking at how she mastered that iconic, rapid-fire New England lockjaw and the athletic, "don't-fence-me-in" energy that defined Hepburn. We break down her electric chemistry with Leonardo DiCaprio's Howard Hughes, specifically that brilliantly uncomfortable family dinner at the Hepburn estate where two different worlds of American aristocracy collide. We also discuss the film's stunning visual evolution, as Scorsese uses "two-strip" and "three-strip" Technicolor effects to mirror the era, and how Cate manages to shine through the stylized, vibrant hues as a woman who was "too much" for any one man to hold onto.If you love the glamour of Old Hollywood, the technical precision of a master at work, or just want to hear us debate if anyone else could have pulled off "Hot Dawg!" with such conviction, this is the perfect finale. We're blending our awe for her first Academy Award-winning turn with our usual casual banter, making this a truly legendary conclusion to our first Actress Month run.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

En este episodio, Mario Mengoni te cuenta la vida intensa y conmovedora de ANDY GIBB, el hermano menor de los BEE GEES: belleza, fama meteórica, hits mundiales y una caída tan veloz como dolorosa. La historia de un ídolo que brilló fuerte… y demasiado rápido. Además, una selección con novedades y sonidos de alto vuelo junto a S-TONE INC, DON CARLOS, FELIPE GORDON, LEMAR, SOUXSOUL y más artistas elegidos con pasión y no por el algoritmo. Y en el cierre, nuestro homenaje a MOYA BRENNAN: la histórica líder de CLANNAD, dueña de una voz mágica y hermana mayor de ENYA. Un adiós a una artista que hizo que la música celta trascendiera fronteras. IMPORTANTE: La música en este programa es propiedad de sus respectivos artistas y sellos. Se utiliza solo con fines de difusión y sin intención de lucro. Apoyá a los músicos en sus plataformas oficiales. Conducción, musicalización y producción general: Mario Mengoni. Asistente de Producción: Diego Hidalgo. Locutores: Leandro Brumatti y Raúl Proenza. Operador Técnico: Carlos Rodríguez. Sitio oficial: www.discorama.net Seguinos en nuestras redes y dejanos tu comentario: https://www.instagram.com/discoramabymario https://www.facebook.com/discoramabymario https://x.com/DiscoramaAR

Goûte HOLY et profite de -10% sur ta prochaine commande: https://fr.holy.com/ACDJSalut l'équipe pour le 79e épisode on se retrouve AU COEUR DU JEU avec Marcel Tisserand.Passé par Clairefontaine Marcel termine sa formation dans le prestigieux centre de l'AS Monaco. Très vite, il comprend ce qui lui permettra ou l'empêchera de faire carrière: être bien entouré et se remettre en question ! Ce sont ces deux choses qui lui ont permis de s'imposer en Ligue 1, de briller en Bundesliga et de représenter les léopards de la République démocratique du Congo et même d'en devenir le capitaine !BIENVENUE AU COEUR DU JEU(0:00) Intro(2:00) Présentation (quels sont les ingrédients du succès ?)(5:38) Ses début et les essais dans des grands clubs (PSG AC Milan, etc.)(9:54) La difficulté de s'adapter à Clairefontaine(15:00) La formation à l'AS Monaco(18:17) Il signe ses deux premiers contrats pro en quelques mois(26:49) Une première saison en pro délicate à gérer (prêt au RC Lens)(33:26) Il repart en prêt: Toulouse FC (Ligue 1)(44:43) L'opération sauvetage de Pascal Dupraz(56:09) Il quitte Monaco (un choix très dur à faire)(1:07:33) Bilan de son passage à Monaco: Mbappé, Lemar, Abidal, Falcao, etc.(1:20:22) Son premier transfert: Ingolstadt (Bundesliga)(1:27:58) Le transfert tumultueux vers Wolfsburg(1:45:00) Bilan de son passage à Wolfsburg(1:52:31) Il arrive à Fenerbahçe et découvre un nouveau monde !(2:01:20) Le loft à Fenerbahçe(2:10:40) L'argent & l'Arabie Saoudite(2:16:21) La vie à Sydney(2:19:58) La sélection de la RDC et sa fondation------------Allez suivre Marcel sur - Instagram: https://www.instagram.com/tisserand32_officiel-------------Rejoins l'équipe sur:- La Newsletter: https://aucoeurdujeu.substack.com- Instagram: https://instagram.com/aucoeurdujeutv- Tiktok: https://www.tiktok.com/@aucoeurdujeutv------------Contact (pro uniquement):aucoeurdujeupodcast@gmail.com

Cate Blanchett Month reaches its crescendo this week on We Drink & We Watch Things with the film that many consider the definitive performance of Cate Blanchett's legendary career: Todd Field's 2022 psychological powerhouse, Tár. This isn't just a character study; it's a clinical, chilling, and deeply immersive descent into the architecture of power and the erosion of a soul. Pour yourself something precise and sophisticated - Mackenzie's Reputation Reviver OR Tártini, perhaps - as we take our seats for a masterclass in controlled chaos.This week, we analyze the sheer physicality of Cate's transformation into Lydia Tár, from the authoritative sweep of her conducting baton to the sharp, tailored suits that act as her armor. We examine the film's haunting ambiguity, looking at how it uses a world of high-culture prestige to explore very modern questions about "cancel culture," the separation of the artist from the art, and the ghosts - literal or metaphorical - that haunt those at the top. We talk through the grueling intensity of the Juilliard masterclass sequence, the unsettling sound design that mirrors Lydia's unraveling, and why this performance feels like the ultimate culmination of everything Cate has been building toward since Elizabeth.If you love intellectual thrillers, complex anti-heroes, or just want to hear us marvel at an actress operating at the absolute peak of her powers, this is the episode you've been waiting for. We're blending our deep respect for the film's precision with our usual casual banter, making this a truly symphonic highlight of our Cate Blanchett Month journey. The podium is hers - are you listening?This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Show Track List: The Weather Girls - Earth Can Be Like Heaven (Spen & Thommy's Vocal Mix) Quantize Recordings Sonic Soul Orchestra, Daniel Thomas, Bobby & Steve - Feel It (Bobby & Steve Tribute To Isaac Hayes Mix) Groove Odyssey Pat Bedeau & AmberClxre - Love Is The Answer (Extended Mix) Bedfunk Banana Groovz - Ya & Me (90's Piano Mix) Outer Waves Records Platform Play: Yooks, Ellis Aaron, True2Life - Do it For The Soul (True2Life Reflow Remix) INFINITY DEEP RECORDINGS The Sexy 3: Donae'o, Omar, Lemar, Dave Lee ZR - Nights Like This (Dave Lee Extended Remix) Zephron Records Gisele Jackson - Love Commandments (Smudged Soul Remix) white label not for resale Matt Gillespie - House Tool. Deep Rhythm Jimmie Page - Feel The Beat (Original) House Kitchen Records/MusicPlant Group DJ Lora & James Geary - Nice N Slow (Original Mix) Blockhead Recordings DJ Fudge - Carry Us Away (Extended Mix) Fool's Paradise Rewind Selecter: Phats & Small - On Da Flo Yo 1999 Silicone Soul - Right on! [Original Instrumental Version] 2001 Dj Disciple, Dawn Tallman - Steal Away (Original 2014 Remaster) Catch 22 Gav McCall - I´m Alright J Majik - Love is not a Game (JJK & Hydrogen Rockers Mixes) (Julius Vocal Mix) Defected

This week, we're sharing two segments: the main feature is an interview with the recently released anarchist organizer and writer Hybachi LeMar; but first up you'll hear Aarohi of the Xinachtli Freedom Campaign about the elder political prisoner's medical condition and the phone zaps to pressure the TDCJ to alleviate his medical neglect Xinachtli Phone Zap [ 00:01:48 ] Xinachtli is an elder, Chicano communist activist and political prisoner 30 years into a 50 year sentence for disarming a sheriff's deputy. Of that 30 years, he's spent 23 in solitary confinement. At age 73, Xinachtli has and continues to face medical neglect at the hands of the Texas prison system, with outside supporters having to apply pressure to get him things like a wheelchair or a proper diet. You'll hear Aarohi of the Xinachtli Freedom Campaign talk about his case and about the phone zaps about Xinachtli's condition as well as how to get in touch with the comrade. Links cashapp: $tierrayliberta venmo: @tierraylibertad newsletter: https://freexinachtli.substack.com/subscribe phone blast: bit.ly/xphoneblast xinachtlifreedomcampaign (at )protonmail( dot)com an older support site for Xinachtli is at FreeAlvaro.Net Past Interviews: Our 2024 interview with  Xinachtli talking about his conditions An audio of Xinachtli telling his story Hybachi LeMar [ 00:17:07 ] Then, an interview that's been a long time in the making. Hybachi LeMar is an anarchist who grew up in Chicago and began considering anarchism thanks to a letter he received from Anthony Rayson of the South Chicago Anarchist Black Cross Zine Distro during over a year in solitary confinement years ago. Since that time, Compa LeMar has been organizing with projects like IWOC, IWW IU613, the self-organized Liberation School in Englewood, food distribution mutual aid, the Chicago local organizing committee of the Black Autonomy Federation and is now the author of three collections of essays (listed at his website) as well as numerous zines. The majority of this chat has difficult audio quality because it was over prison phones. Happily at the end of the chat, we speak with Hybachi following his recent release, having maxed out his sentence and returned to his organizing and life in the streets of Chicago. There is a fundraiser ongoing to support Hybachi in his post-release life. After the interview, stay tuned for a reading of his essay On The Powers of Self-Reflection, produced by Slug. [ 01:02:03 ] There are a few mentions of mental distress and suicide in the chat, just a headsup. Compa LeMar mentions a few names in the episode of people that we've had on the show in the past, and we'll link those episodes where we can (Brianna Peril of IWOC, Sean Swain, Anthony Rayson of South Chicago ABC Zine Distro, True Leap). You can find ways to support Casey Goonan at their support site. Announcements B(A)D News Episode 100! If you're looking for more anarchist news beyond the Channel Zero Network podcasts, check out B(A)D News: Angry Voices from Around The World from the A-Radio Network (of which we are also a member). The March 2026 episode features: FrequenzeA presents an interview about environmental struggles in Russia. A-Radio Berlin presents a satiric piece called "Weird politics" where they talk about German military, AfD, and the wolf. Parias radio-show presents an interview about the repression the Community of Squatted Prosfygıka in Athens. The last contribution is from Radio Ausbruch that was visiting feralcrust, an Eco-anarchist Infoshop and Social Center close to Davao City, Philipines. The first of a series. . ... . .. Featured Track: TFSR by The Willows Whisper

Cate Blanchett Month takes a cosmic, neon-drenched turn this week on We Drink & We Watch Things as we dive into the Marvel Cinematic Universe to witness Cate Blanchett at her most delightfully wicked: Taika Waititi's 2017 technicolor blast, Thor: Ragnarok. It's time to pour yourself a drink that's as bold and dangerous as our guest of honor - Lemar's Hella Fire, perhaps - as we head to Asgard to meet the sister Thor and Loki never knew they had.This week, we celebrate Cate's turn as Hela, the Goddess of Death, and how she managed to create one of the most charismatic and genuinely threatening villains in the entire MCU. We examine her incredible physical presence - from the effortless way she catches Mjolnir to the iconic antlered headgear - and talk through how much fun she clearly had playing a character who is unapologetically powerful and bored by everyone else's rules. We also highlight the film's shift toward improvisational comedy, the vibrant "Jack Kirby" visual style, and why Hela stands out as a masterclass in how to bring gravitas and theatrical flair to a superhero blockbuster. And why we want more of her!If you love a villain who steals every scene they're in, or if you just want to hear us gush about Cate's ability to command an entire army with just a flick of her wrist, this is the episode for you. We're blending our adoration for her range with our usual casual banter, making this a high-voltage highlight of our actress Month journey. Kneel before your Queen!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Hey Beautiful People I'm back once again like a Renegade master this Wednesday for another journey into Musical Paradise so try and control your excitement!! So in Wednesdays's show We take the Stars on 45's feature out for a spin again featuring the amazing celestial vocals of Marc Evans. !! Plus we have a fantastic Awesome 4Some tracks from the blender DJ Allan Singleton . So be prepared for another high energy uplifting radio show that brings sunshine and smiles on a a Humpday. It's a Specially Prepped for your aural pleasure. Much Love Marky MMP Cruise FM, and hope you can join me on this special weekly journey delivered with love.. I love you all Trax Title Artist Down Time (A Drink B4 We Dance) Marc Evans You Change My World Jamie Lewis & Marc Evans Given Me Joy (Muthafunkaz 12 Mix)" Marc Evans Dontcha Wanna Dance (feat. Marc Evans) [12 Mix]" Cool Million Beneath the Crescent Moon Marc Evans This Thing Called Love (DJ Meme Remix) Marc Evans The Way You Love Me (Dim's TSOP Version) Ron Hall & The MuthaFunkaz Feat. Marc Evans A Spiritual Love (Groove Junkies Re-Edit) Marc Evans, Groove Junkies What Can I Do For You The More I Get, The More I Want (Soul Disco Mix) Jay Caruso Bass Goes (Stacy Kidd House 4 Life Remix) DJ Dre Hart, Stacy Kidd Get Back To You (Original Mix) Odyssey Inc. Nights Like This (Dave Lee Extended Remix) [thatpeopleplay.com] Donae'o, Omar, Lemar, Dave Lee ZR Spank (Eric Kupper Remix) Jimmy Bo" Horne Dusty (Geoffrey C & DJ Spen Mix) Geoffrey C, DJ Spen Always There (DJ Bert Bevans Disco Mix) Jocelyn Brown, Incognito, DJ Bert Bevans Mood (Dr Packer Extended Mix) Sweet Georgie, Tosha Marie, Dr Packer It's Up To You (Extended Mix) Mark Funk, Danny Cruz, Anna Ingram

Liam Connolly, Mr OFFBeat, Donae'o, Omar, Lemar, Sebb Junior, JAH Frits Wentink, Risk AssesmentDJ Romain, Jackie Queens, Zepherin Saint.Just a few of the banging artist this weekThank You.

El empate de Lemar agranda el tirón de orejas del Bernabéu al Real Madrid

El empate de Lemar agranda el tirón de orejas del Bernabéu al Real Madrid

Cate Blanchett Month continues as we shift gears from the throne rooms of England to the open roads of the American West with the 2001 crime-comedy, Bandits. This week, we're looking at a completely different side of Cate Blanchett - trading the white lead makeup for a messy red wig and a kitchen-sink existential crisis. Grab a drink- maybe try this week's Split Decision cocktail - as we join the "Sleepover Bandits" on a heist that's less about the money and more about the company.This week, we celebrate Cate's surprising comedic timing as Kate Wheeler, the neglected housewife who accidentally hijacks a bank robbery and ends up in a "permanently temporary" love triangle with Bruce Willis and Billy Bob Thornton. We examine her frantic, high-wire energy - especially that iconic kitchen dance to "I Need a Hero" - and analyze how she holds her own against two massive leading men, effectively becoming the heart and the brains of the operation. It's a discussion about the chemistry of an unlikely trio, whether or not Lemar would like this more if he'd seen it when it came out, and why this role proved that Cate could master the "messy American" just as easily as the British monarch.If you love a good road movie, a smart caper, or just want to hear us debate how this one holds up, this is the episode for you. We're blending our appreciation for her versatility with our usual casual banter, making this a fun, fast-paced second stop on our Cate Blanchett Month tour. Who knew being kidnapped could be so revitalizing?This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Tom Misch - Flowers In BloomMoonchild - Not Sorry ft. Rapsody & Jill ScottNautilus - Maiden VoyageDJ I.N.C and Marqueal Jordan - Healthy ThoughtsNas & DJ Premier - Sons (Young Kings)Jill Scott - Norf Side (feat. Tierra Whack)Yellow Couch Music - The Wherewithal (feat. NYALLAH).idk. - HALOPotatohead People & Slippery Elm - Red Thread (Instrumental)Ohmega Watts - Bossa BounceSAULT - Love Does Not Equal PainMF Robots - Hello SunshineIREKE - Viv liEric Hilton - AkashaAlexander IV - La ParisienneLance Ferguson - LosalamitoslatinfunklovesongMamas Gun - DIG! (featuring Brian Jackson)Flea - FrailedAdrian Younge - Respond to SoundAja Monet - elsewhere (feat. Meshell Ndegeocello & Georgia Anne Muldrow)Anthony Joseph - Blue SusanGENA (Liv.e & Karriem Riggins) - omo iya ati babaKokoroko - Something's Going OnAsh Walker - Heads Up Modha River feat. Àbáse & Fanni - ZahárZo! & Tall Black Guy - Make Or Break (feat. Gareth Donkin & Debórah Bond)lovetempo - Wanna Be With You (feat. Kate Mattison of 79.5)Rose Royce ft. The Pointer Sisters - You Gotta BelieveJerry Butler - Mechanical Man (Vallarta Drum Break Edit)Brian Jackson - Home is Where The Hatred Is (main) (Featuring Lisa Fischer)Crackazat - Watchu SayKon - Awe BabyMidnight Riot - Xavowho & Carmen - Time to MoveThe B. B. & Q. Band - GenieJanette Renee - What's On Your Mind (Super Club Remix)Shy One - Moonlight (feat. Private Joy)Scratchclart - 2 People (Feat. Calista Kazuko & Paris Cesvette)Oliver Night - Vibez feat. Kaya FyahDonae'o, Omar, Lemar, House Gospel Choir Nights Like ThisNapoleon - OverdoseLay-Far Dance Orchestra - Aquarius Love (Feat. Seven Davis Jr.)Captain Planet & Santrofi - CocoaseGrupo Los Yoyi - Paco La Calle

1. Deejay J3 ft. Don EE, DJ Bradshaw & Dr Vades - Roses Are Tribal 2. Donae'o, Omar, Lemar, Beverly Knight - Nights Like This (Remix) 3. Simply Red - Stars (Jet Boot Jack Remix) 4. The Ton DJ - Velvet Disco 5. Majestic - Bodywork (Todd Edwards Dub Mix) 6. The Ton DJ - Nu Groove 7. Todd Edwards - The Chant (Majestic Remix) 8. New Horizons - Find The Path (Find The Dub) 9. The Ton DJ - Golden Hour 10. Alex Mills - Body Reefa Mash Up 11. Icona Pop ft. Charli XCX - I Love It - MARROW LET'S GO Slam Intro Edit (Dirty) 12. Maxim - Future Dream 2 - Dolomites Dream (98 Vox Mix) 13. The Ton DJ - Rare Cruiser 14. Truesteppers - The Finest (True Vocal Mix) 15. Disco Lines & Tinashe - No Broke Boys (Intro - Dirty) 16. MGR MIKE - Smack My B Up (MGR Mike's Groove) 17. The Ton DJ - Midnight Funk 18. Lynden David Hall - Forgive Me (Artful Dodger Dark Dub) 19. Chase & Status, Emeli Sandé - Love Me More (MJ Cole Remix) 20. The Ton DJ - Spanton 21. Doolally - Straight From The Heart (Bump & Flex Mix) 22. The Ton DJ - Feel the Vibe Dub 23. Brock UK - Higher Love (Beastwang) 24. The Ton DJ - So Easy 2 25. Box Clever - Treat Me Right (MJ Cole) 26. The Ton DJ - Start Today (Remix) 27. Sunship - Cheque One Two (Remix) 28. Y-Tribe - Party All Night 29. The Ton DJ - Triplets II X Ton Things We Do for Love (Mashup) 30. Priya Ragu - Easy (MJ Cole Remix) 31. The Ton DJ - Still in My Light 2 32. Soulecta - Shot You Down Dub 33. The Ton DJ - Making Luv Duet 34. The Ton DJ - Master Your Destiny 2 35. Dean Turnley - Actin' Tough (DJANGO Dub) 36. The Ton DJ - Raise It Up 37. The Ton DJ - Grok2 (Mastered) 38. The Ton DJ - One L1fe 2 39. The Ton DJ - Pressure Dub 40. The Ton DJ - Just Wanna 41. The Ton DJ - Open Up Your Mind 3 42. The Ton DJ - Too Wyze (Remix) 43. The Ton DJ - Skank 44. The Ton DJ - Light Through the Grey 45. The Ton DJ - Let U Go 46. The Ton DJ - Tomorrow Knows 47. The Ton DJ - Eyes 48. The Ton DJ - Fire 49. The Ton DJ - Blas2 50. The Ton DJ - Ton Intro 11 (Mastered)

Welcome to April, and we are rolling out the red carpet for our first-ever Actress Month! We're kicking things off with a deep dive into the filmography of the incomparable Cate Blanchett, beginning with the 1998 breakout that turned her into Hollywood royalty: Elizabeth. Pour yourself a glass of something regal - perhaps Mackenzie's cocktail this week, The Red Fox - as we travel back to a 16th-century England filled with shadows, whispers, and a young woman forced to trade her heart for a crown.This week, we trace the transformation of Elizabeth from a vibrant, romantic girl into the formidable, white-masked "Virgin Queen" who ruled with an iron fist. We marvel at Blanchett's ability to command the screen with just a flicker of her eyes, capturing the terrifying transition from vulnerability to cold, calculated power. We also examine Shekhar Kapur's visceral, thriller-like direction, the lush but claustrophobic costume design, and the standout supporting turns from Geoffrey Rush and Joseph Fiennes. It's a conversation about the high cost of leadership, the erasure of the self for the sake of the state, and the exact moment we all realized a legendary talent had arrived.If you love historical dramas that feel more like political horror, or if you've always wanted to know why this performance is considered the gold standard for period acting, this is the episode for you. We're blending our obsession with Cate's craft with our usual casual banter, making this a truly majestic start to our Cate Blanchett Month celebration. Long live the Queen!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Mistral has been on an absolute tear - with frequent successful model launches it is easy to forget that they raised the largest European AI round in history last year. We were long overdue for a Mistral episode, and we were very fortunate to work with Sophia and Howard to catch up with Pavan (Voxtral lead) and Guillaume (Chief Scientist, Co-founder) on the occasion of this week's Voxtral TTS launch:Mistral can't directly say it, but the benchmarks do imply, that this is basically an open-weights ElevenLabs-level TTS model (Technically, it is a 4B Ministral based multilingual low-latency TTS open weights model that has a 68.4% win rate vs ElevenLabs Flash v2.5). The contributions are not just in the open weights but also in open research: We also spend a decent amount of the pod talking about their architecture that combines auto-regressive generation of semantic speech tokens with flow-matching for acoustic tokens (typically only applied in the Image Generation space, as seen in the Flow Matching NeurIPS workshop from the principal authors that we reference in the pod).You can catch up on the paper here and the full episode is live on youtube!Timestamps00:00 Welcome and Guests00:22 Announcing Voxtral TTS01:41 Architecture and Codec02:53 Understanding vs Generation05:39 Flow Matching for Audio07:27 Real Time Voice Agents13:40 Efficiency and Model Strategy14:53 Voice Agents Vision17:56 Enterprise Deployment and Privacy23:39 Fine Tuning and Personalization25:22 Enterprise Voice Personalization26:09 Long-Form Speech Models26:58 Real-Time Encoder Advances27:45 Scaling Context for TTS28:53 What Makes Small Models30:37 Merging Modalities Tradeoffs33:05 Open Source Mission35:51 Lean and Formal Proofs38:40 Reasoning Transfer and Agents40:25 Next Frontiers in Training42:20 Hiring and AI for Science44:19 Forward Deployed Engineering46:22 Customer Feedback Loop48:29 Wrap Up and ThanksTranscriptswyx: Okay, welcome to Latent Space. We're here in the studio with our gues co-host Vibh u. Welcome. Thanks. Excited for this one as well as Guillaume and Pavan from Mistral. Welcome. Excited to be here.Guillaume: Thank you.swyx: Pavan, you are leading audio research at Mistral and Guillaume, you're Chief Scientist,Announcing Voxtral TTSswyxHost(00:05) Okay. (00:05) Welcome to Lean Space. (00:06) We're here in the studio with trustee co-hosts, Vibhu. (00:09) Welcome.VibhuHost(00:11) Very excited for this one.swyxHost(00:12) As well as Guillaume and Pavan from Mistral. (00:15) Welcome. (00:16) Excited to be here. (00:17) Thank you for having us.(00:18) Pavan, you are leading audio research at Mistral and Guillaume, you're a chief scientist. (00:23) What are we announcing today where we're coordinating this release with you guys?GuillaumeGuest(00:26) Yeah, so we are releasing Voxtral TTS. So it's our first audio model that generates speech. It's not our first audio model. We had a couple of releases before.(00:35) We had one in the summer that was Voxtral, our first audio model, but it was like a transcription model, ASR. Like a few months later, we released some update on top of this, supporting more languages. Also a lot of table stack features for our customers, context biasing, precision, timestamping and transcription. We also have some real-time model that can transcribe not just at the end of the level.(00:56) You don't need to fill your entire audio file, but that can also come in real-time. And here, this is a natural extension in the audio, so basically speech generation. So yeah, so we support nine languages, and this is a pretty small model, 3D model, so very fast, and also state of the art. Performed at the same level as the base model, but it's much more efficient in terms of cost, and also much, in terms of cost, it's also much cheaper, only a fraction of the cost of our competitors.(01:22) And we are also releasing the work that this model is running.swyx What's the decision factor?Guillaume It's a good question.swyxThere will be more. Yeah, Pavan, any sort of research notes to add on?Architecture and CodecPavan: But it's a novel architecture that we develop inhouse.We traded on several internal architectures and ended up with a auto aggressive flow matching architecture. And also have a new in-house neural audio codec. Which, converts this audio into all point by herds latent [00:02:00] tokens, semantic and acoustic tokens. And yeah, that's that's their new part about this model and we're pretty excited that it's, it came out with such good quality and Jim was mentioning. Yeah, it's a three B model. It's based off of the TAL model that we actually released just a few months back and insert trunk and mainly meant for like the TTS stuff, but they need text capabilities are also there. Yeah.swyx: So there's a lot to cover.I always I love any, anything to do with novel encodings and all those things because I think that's obviously I creates a lot of efficiency, but also maybe bugs that sometimes happen. You were previously a Gemini and you worked on post training for language models, and maybe a lot of people will have less experience with audio models just in general compared to pure language.What did you find that you have to revisit from scratch as you joined this trial and started doing this? At leastUnderstanding vs GenerationPavan: when it comes to, for, I think the, there are two buckets, I guess the audio understanding and audio [00:03:00] generation. The audio understanding, like the walkthrough models that Kim was mentioning that we released earlier.The walkthrough chat that we released I think July last year, and the follow up transcription only, models family that we released in January, that would be one bucket, and the generation is another bucket. I think. You can also treat them as a unified set of models, but currently the approaches are a little different between these two.To your question on how audio is fed to the model? In the understanding model, it's very similar to actually Pixar models that we also released,swyx: yes.Pavan: That'sswyx: amazing.Pavan: It was pretty, I, that was the first project I worked on after joined Misra. It was pretty, pretty nice. And Wtu was very similar in spirit.I guess So we feed audio through an audio encoder similar to images through a vision encoder, and it produces continuous embeddings and which are fed as tokens to the main transformer decoded transformer model. Yeah. On the model output is just text. So on the output side, there is nothing that needs to be done in these kinds of mode.I [00:04:00] guess the interesting part of what the generation stuff is, the output now has to produce audio and. The approach that we have is this neural audio codec, which converts audio into these latent tokens. There is a lot of existing attrition and a lot of models which are based off of this kind of approach.And we took a slightly. A different, design decisions around this. But at the end of the day, the neural audio product converts audio into a 12.5 herdz set of latents. And each latent is, has a semantic token and a set of acoustic tokens. And the idea is that you take these discrete tokens and then feed it on the input side.There's several ways to use this at each frame, but we just sum the embedding. So it's like having key different vocabularies. Combine all of them because they all correspond to one audio frame on the input side. The output side is the interesting part on the output side, the, it's not the, I don't know if it's the most popular, but one.Popular technique is to have a depth transformer [00:05:00] because you have K tokens at each time step, like with a text, you just have one token at each time step. So you just do predict the token from the vocabulary with, yeah, with just, you get probabilityswyx: This's a very straightforward text. VeryPavan: straightforward.swyx: Yeah.Pavan: But if you have K tokens, then the name thing would be to predict all of them in paddle. That doesn't work. At least that doesn't work that well because audio has more entropy. And the, one of the techniques people use is this depth transformer where you you almost have a small transformer, or it can be L-S-T-M-R in as well, but people use transformers and you predict the K tokens in auto aggressive fashion in that.So you have two auto reive things going on.Flow Matching for AudioPavan: So the thing we did differently is in, instead of having this auto aggressive K step prediction, we have a flow matching model. Instead of modeling this as a discrete token set we trained the codec to be both discrete and continuous to have this flexibility.So we did try the discrete stuff too, and which it works well, but the continuous stuff works just better. So yeah, we took this flow matching, so the, it's a flow [00:06:00] matching head, which takes the latent from the main transformer and like kind in fusion, it's denoising, but in this flow matching itself, velocity estimate.So you go from this noise t all the way to there. Audio latent, which corresponds to the 80 millisecond audio and then, which is sent through the work order to get back the 80 millisecond audio frame.swyx: Yeah. Is this the first application of flow matching in audio? Because usually I come across this in the image.Pavan: Yeah. Actually, in some sense there are models flow matching models in audio, but I think this specific combination I could be wrong. There could be somewhat. No. I haven't seen. I haven't seen much work in this, so I think it's novel and a lot of it's just a way bigger community, so they, I think they pioneer a lot of these diffusion flow matching work, and it's interesting to adopt some of the ideas there into audio and,swyx: yeah.Pavan: Yeah, I'm, personally that's the think part which is trying out about. One of more meta point is unlike text, even in vision, I think this is true, but in [00:07:00] audio step literature that there is no.Winner model, yet there is no, okay, this is the way you do things. It's it's still by, I think people are still iterating and figuring out like what's the best overall recipe. I guess the idea. Pretty sure there are models which are also completely end-to-end, like NATO audio. NATO audio, but it's still not come to a convergence point where this, the right way to think that.That also makes. A space pretty exciting to explore.Real Time Voice AgentsVibhu: What are some of the ways to look at it?Vibhu: There are ways where you can do diffusion for audio generation, but if you want like real time generation, that's a big thing with the approach I'm assuming that you took. Yeah. And also like how do you go about evaluating different axes of what you care about, yeah,Pavan: good point. I think we so you can do just flow matching diffusion for the whole audio. We didn't even go down that path because one of the main applications is voice agents and we want real time streaming, and that's the use case. That's not the only use case, but that's one of the primary use cases we want to get to.So we [00:08:00] picked the auto aggressive approach for that. And within the auto aggressive space, again, you can do chunk by chunk or you can do so we picked the. I think at least personally prefer the operations, which are the simplest, and so we try to see, can we just add audio as just another head to our regular transformer decode model because that kind of makes it easier for eventual end-to-end modeling of audio text native modeling.Yeah. And it works pretty well. So I guess we went with that and we tried a little bit, but the flow matching head itself, like we had a discreet. Diffusion kind of approach, which also works well, but the flow matching work better.swyx: I was just curious about how you also think about this overall direction of research.Do you basically, when you work with the audio team, do you set some high level parameters and then let them explore whatever, or how does it work between you guys?Guillaume: No I think the way it works is that we are the, we are prioritizing together, I think, what are the most important features because there are many things we can do [00:09:00] in audio.Yeah, I think we try to. These are like how we should do things, for instance. Ultimately what we want to do is to build this through duplex model, but we are not going to start this start there directly, I think is. Some of the project people are doing, butswyx: just to confirm, full effects means it can speak while I'm speaking or,Guillaume: yeah.Okay. Audio. Yeah. Yeah. So intimately we're going to get there, but for us it was, we decided to take it like a step by step. So we start with whatever is the most important. I think support customers, which is the transcription is the most popular use case. Then the speech generation, Soviet time, just a bit before that.And then actually to be like more, but try combining everything all together. But but yeah, we thought it was also important to like separate things and optimize each capability one by one before weswyx: measure of that together. And the super omni model. ButGuillaume: very interesting because as Par said, it's when you work on some other domains of this airline and everything, there are many areas where I think it's not as interesting.For instance. Many places, it's essentially just around data or like creating new environments on a lot of kind [00:10:00] of easy things. But things were, I think the research is maybe not as interesting. Were in audio. There are so many ways to actually build this model. So many ways to go around it. That's the sense I think is really interesting.And what we also tried for speed generation is that we tried multiple approaches. What was interesting that even though they were extremely different, they under the big know the particles but the for matching turned out to be quite more natural. So we are happy with this.swyx: Is there intuition why it maybe like flow matching is just models speech better in some natural fundamental, latent dimension?Pavan: No, I think the main thing is e even at a particular time step, there is a distribution of things.swyx: Yes.Pavan: To be predicted like the way you inflate. So you already know the word that you're speaking and Yeah. The intake space, let's say the word maps register a single token for simplicity.In most cases it does. So there is not a lot of so you just pick the word, but with within audio, even the same word could, even with your own voice, could be inflicted in so many different ways. And I think [00:11:00] any approach which like models this distribution and. And flow matching is one, one of the take.It's not the only one at all, but it's a one which works pretty reasonably well. I think that's better. So you have to pick across several different, the intuition I have is it's, there are some, several different clusters each corresponding to some specific way you would inflict, pronounce that thing.And you can't predict the mean of it because that corresponds to some blurred out speech or something like that. But you have to pick one. And then like sharpswyx: conditional inference.Pavan: Yeah, exactly.swyx: Is that all covered under disfluencies, which is I think the normal term of art. Pauses intonations. By the way, I have to thank Sophia for setting all this up, including like some of these really good notes becausePavan: Yeah.swyx: I'm less familiar with the audios for me.Pavan: No. I think dis dismisses are definitely one such Eno defenses is more likeswyx: which is arms are.Pavan: Yeah, arms. And also repeat like you like,swyx: yeah.Pavan: You do this full of words, your thinking, so you repeat the word.swyx: Okay. Whereas intonation is like a diff, it's up up [00:12:00] speak and all this.Okay.Pavan: Yeah. So I think there is a lot of like entropy. And modeling it as a distribution. And a, any technique which helps with it and the depth transformer is a conditional way of modeling this. And Transformers actually really good at it, even though that's a mini transformers. So I think that worked pretty well too for us too.It's just that the main concentration is when you have a depth transformer. If you have K tokens, you need to do K auto steps, right? Even though it's a small thing, it's K steps, which is very vacant, say heavy, but flow matching. We were able to cut it down significantly. So we are able to do the inference in quad steps or 16 steps and it works pretty well.And there are more normal techniques to bring it down even further to like, in extreme case, one step like we're not doing it yet, but it at least the framework, LEDs itself to more efficient and Yes.swyx: And the image guys have done.Pavan: Yeah.swyx: Incredible work guys. Yeah.Pavan: It now you just. Send a prompt and you get an image.swyx: Yeah. Surprisingly not enough. I think image model labs use those techniques in production. I think it's, I feel like it's a lot of research demos, but [00:13:00] nothing I can use on my phone today.Guillaume: The thing, there's a thing that would be interesting here is that since, indeed I've been so much sure that has been done in the vision community compared to radio dys, stomach, I think there are so many long infra Yeah.And there are so many things we can do to actually improve this further. So it's our first version, but we have so many ways to exist, much better and much more efficient, cost efficient, soswyx: yeah.Guillaume: So really it's not a new field at all, of course, but there are still so many things that can be done.Perfect. It'sswyx: nice. I should also mention for those who are newer to flow matching, I think the creator, this guy's name is Alex, he's done I think in Europe's maybe two Europes as ago. There was, there's a very good workshop. There's one hour on like this matching is I would recommend people look that up.That's the other thing, right?Efficiency and Model Strategyswyx: The efficiency wise, like I, I imagine like the reason is open weights the reason you pick 3.6 B backbone it you are 3.4 B you are, try to fit to some kinda hardware constraints. You kinda fits some kinda basic constraints. What are they?Guillaume: Not necessarily, I think something we care about in our model that they're efficient.So we have a [00:14:00] lot of separate model, for instance. So we have this that is very small, very efficient. We also have a small OCR model that is available. Good, highly efficient as well. And I think on a project maybe there, I think companies are going to take is to have a coverage general model that will do a bit of everything.But that is also going to be expensive. On here. What want say is if you care about this specific use case, if you can actually use this model, it just does that. It's extremely good at it. Survey, very efficient. That's why we can actually add. We do, but also OCR that are like really good at that.And that would be much more cost effective factors and the general model that will contain a lot of capabilities you don't really need. So yeah. So we're doing like general model, but also like more customized model. This,Open Weights and BenchmarksVibhu: how does it compare to other TTS models? It's, we are going follow open wave.We're just dropping it. I think it's pretty good.Pavan: Yeah, I think it's pretty good. Like it, it's definitely one of the best. For sure. It's probably I would say it's the best open source model, butVibhu: decipher themselves.swyx: Yeah.Voice Agents VisionVibhu: Why now? How does it fit into broader ral vision? How do you see voice agents?How do you see voice? I think every year I've heard, okay, you're a [00:15:00] voice. You're a voice. There's a lot of architectural stuff. There's a lot of end time that see it, your solving, but where do you see voice setting?Guillaume: We had so many customers asking for voice. That's also why we wanted to build it.What's interesting in this domain is that. In a sense, if you take something simple like transcription it doesn't seem like something that should be very hard to do for a model. It's essentially, it's pattern recognition. It's classification on this. Models are very good at classifying, right?Or nonetheless, when you talk to them it's not there yet, right? It's not, you don't talk to them the same way you talk to a person. On something, maybe people don't realize it. It's in English it's still much better than in any user language, even compared to French instance. If you talk to this million in French, when you see people talking to this they'll talk very slow.They'll articulate as much as they can. So it's not natural, right? We're not yet to this. And I think, yeah, maybe the next generation will not know this, but yeah, I think people that. But our edge will actually always keep this bias speaking very slowly when they talk to this model. Even if maybe, probably in a couple of years, maybe next year it'll not be necessary anymore.But yeah. But what's interesting is to see that yeah, even for like languages [00:16:00] like yeah, French and Spanish Germans that are not no, no resource on religion. You have a lot of audios there on still it's not as good. And I think a consequence. Because then for this, I suppose just is not as much energy, as much effort that has been put done in some other mod that for some vision or like coding.But but yeah, there's still a lot of progress to be done. I think it's just a question of doing the work and it's clear path I think to get there.Pavan: It's a little fascinating because I worked on Google Assistant I think while back at this point, but it's, I think it's, it like when you take a step back, it's fascinating.It's not that long ago. It was like four years ago or five years ago, and it's now it's completely audio in, audio out and the function calling and the whole thing happens completely end to end. And in a very natural,swyx: yeah,Pavan: natural way and still ways to go. Kim was telling, even despite all the previous, it's not like you're speaking to a person.When you talk to any of these agents, bots, or voice mode kind of situation, it's still like a gap. I think that's the great part and I feel like with even the existing [00:17:00] stack, we should be able to get to this very natural speech conversational abilities soon enough I guess.And we'll also hope. I get thatGuillaume: on this kind of the next step, right? Because when you talk to these agents, like usually people are just writing to them and sometimes they'll this very clear, for instance, you are, you want to write code, but you are, you have a very clear idea of how you want the model to implement what you in mind.But so here you are able to spend a lot of time writing. So it's not really efficient on audio is really like a natural interface that is just not there yet, but I think it's just gonna be the place.Vibhu: How's it like building, serving, inferencing, like we see a lot about, it's very easy to take LMS off the shelf, serve them.Fine tuning, deploying. I know you guys have a whole you have Ford, you have a whole stack of customizing, deploying. Is there a lag in getting that. Like distribution channel. Are you helping? There is. So like prompting, lms, you can have them be concise, verbose, all that.They're built on LM backbones, these models. How do you see all that?Enterprise Deployment and PrivacyGuillaume: Yeah, I think this is a lot of what we're doing with our own customers. Very [00:18:00] often they come to us, so it's for different reasons. I think one reason is sometimes they have this lot of privacy concerns.They have this data that it's very sensitive. They don't want data to leave. The companies, they wanted to stay. Inside the company. So we have them deploy model in-house. So either on a, either on premise or on private cloud. So they're not worried that it's given to a third party on the there some leakage.Sometimes they have this kind of many companies have this different, sensitivity of data they have like sometimes channel chat can send it to the cloud has to stay there. So then it creates some kind of heterogeneous workflows where it's annoying. You cannot send some data to the cloud.This one you can, so here, when we actually deploy the model for them, they don't have this consideration. They are like not worried that, this is going to leak. Everything is much easier. So we help them basically do this on the, so it's one of the very proposition. But but the other is very often, when customers use this off the shelf close model, but very sad is that they are not leveraging, these data that have been collecting for four years or something for decades.So much data. Sometimes it's trillions of tokens of [00:19:00] data in a very specific domain. Their domain, which is data that you'll not find in the public, on the public internet. So data on which, like close model, we actually not have access to one, which that's going to be really good. So if they're using like closed source models are basically not benefiting from all these insights.All these data they have collected three years, they can always give it into the context that in France, but is never as good as if you actually train the modern analysis. So yes, that's basically what we help them to do. We actually provide them some purchase, basically what we announced at GTC this week.So we provide them with this, it's basically like a platform with a lot of tools to actually help them process data. Trained on that. Yeah, it's actually the same thing that we're using in the science team. So it's actually very better tested infrastructure, like a lot of efficient training cut base.For a quality pre-training like a fine tuning, even doing S-F-T-I-L. So we help them do this using the same tools as what our science team is building is using. So since it's tools that we've been using for two years now, it's really better tested. It's really sophisticated.So it's the same thing. We are giving to them, giving the company the same thing [00:20:00] that what are same still using internally actually build their own ai and it makes a really big difference. I think sometimes customers. And many in general don't realize how much better the model becomes when you fine tune it on your own data.And you can have a, your model is here. You start from there. You have a cross source model, which is sort here, but if you actually fine tune it can actually really go much further than this. And then you have a very big advantage. The model is trained on your entire company knowledge, so it knows everything.You don't have to feed like 10 K tokens of contact at every query. So it's it's much easier. It's a bit, I think using a closed source model is really sad because it basically puts. You are not leveraging all this data and you are going to be using the same model as all your old competitors when you're actually using, everything you have been collected for years, which is really valuable.So yeah. So we help basically customers do this. We have a lot of solution I mean deployed for engineers that go in the company that basically look at the problem customers are facing to look at what they're struggling to do what we should do to solve it. So we help them solve them together.So it's I think our approach is a bit different, but here. [00:21:00] Some of their companies and competitors, it's, we don't just release an endpoint on sale, do some stuff on top of that, or we don't just give a checkpoint. We really look very closely with customers. We look at the issues they have, we had them solve them.We really make some tailored solution for the client are facing. Some example are also going to be, sometime we have some customers. They really wanted to have a really good model, really performance on some, like Asian languages on the, if you take some of the shelf models, they can speak it, they can write in this language, but it's not amazing.This language would be like maybe zero 1% of the mixture. So it has been included during training, but very little. So what we did here is upgrade. We trained a new model for them, but so this language was 50% of the mix, so it's much, much stronger. It knows of the dialects, it knows the, so it's yeah.So it's some example of things we can do and it's really arbitrary, custom. I think you had some of their customers, for instance, they wanted some. They wanted some 3D model that can do audio with a very good function cable. So something you wanted to put in the car in particular, they wanted this to be offline because in a car you don't necessarily have access to internet.So [00:22:00] yeah. So here we can actually build the solutions. There is no like model out of the box on this. In the internet you have this very, you have this very general model generalist, like he's strong model. But for things like this, they always want at specific solutions and on some other reasons.Sometimes they come to us is because, like they, they experiment with some closed source model. They get some prototype. They're happy with what they build. They, it works well. They're happy with the performance, and then they want to go to production and then they analyze. But it's extremely expensive.You cannot push this. It's so then they come back to us on this. They can help us build the same thing as this, but using something much cheaper on here. And here we can sometime be something 10 x cheaper by just functioning a model and it'll be better OnPrem on their old server and also much cheaper as well.So yeah,swyx: that's the drop pitch right there. Take all themoney.Vibhu: And outside of that you do, we do put open wave models so people can do this themselves. I feel like not enough people go outta their way.swyx: They're not going to, they're gonna ask them to do it as the expert. IGuillaume: think initially we didn't know, [00:23:00] we wanted completely short at the beginning of the company because, I think our study was not exactly the same as what it is today, but what we underestimated initially is the complexity of deploying this model and connecting them to everything to be sure it has access to the company knowledge on the, and it was, yeah, on, we were seeing customers struggling with this, but it was even, that was three years ago and no, things are much more complicated because now you don't just have, text on SFT on a simple instruction following.You have reasoning like your agents, you have like tools. You have a multimodal audio, so it's much more complicated than before. And even back then it was hard for customers. So they really need, have some support and this is why actually providing like always some four D position as well. The processFine Tuning and Personalizationswyx: I'm curious is there also voice fine tuning that people do?Pavan: So in this forge we also have a say unified framework. And the hope is like the er speech to text that we released earlier this year. And even the ER chart that we released last year. And I think a big people, I think there's a big, rich ecosystem [00:24:00] of people fine tuning whisper, and people want the same thing with w so it's much stronger than Whisper.And yeah, the the platform offers that kind of fine tuning yeah, which could be any kind of fine tuning. Like for instance, even sometimes people want to support new languages to this, which are tail languages, which we hope to cover. Certain natively, but if there is a language where you data and you want to frank you, I think this is a good use case.Or the other use cases, you, it's the same language, like even English but it's in a very domain specific way.swyx: Yeah. Terminology, jargon, medical stuff.Pavan: Exactly. And also there's specific acoustic conditions like there's a lot of noise or the, and. The model will do decently in most conditions, but you can always make it better.And that those are some of the use cases where you can improve it e even further. And that's one good use case for this and for text to speech. We're just releasing it so we'll have support for that soon too. I think it's similar use case.Voice Personalization Pavan: It's little different the kind of things that you want to extend a [00:25:00] text to speech model to, which could be like voice personalization, voice adaptation for enterprises.Many enterprises need very specific kind of tone, very specific kind of like personality for this kind of voice. And all of those are like good use cases for fine tuning.swyx: This one I was gonna ask you, we never talked about cloning voice clothing here. How important is it, right?Like I can clone a famous person's voice. Okay. ButPavan: the main use case would be like for enterprise personalization, like enterprises need like a lot of customization. You don't want the same. Voice for all the enterprises. Each enterprise want a customized, specialized something which is representative both their brand and also their, I guess safety considerations and the use case I think the kind of thing that you would deploy as a empathetic assistant in the context of a healthcare domain would be very different from the kind of thing that would be in a customer support bot and would be different from like more conversational aspects.I think those are the. [00:26:00] Customizations you would expect from enterprise. And that's the main use case, at least from our side.Vibhu: My, my basic example is you don't want to call to customer services and have the same exact voice. It's just, it's gonna be weird.Long-Form Speech ModelsLong-Form Speech ModelsVibhu: But also on the technical side of this, so there's like a few things in TRO that I thought were pretty interesting.He's a big fan of this paper. Oh, he said very good paper. He said this is the best SR paper he's ever read. Yeah. I've hyped up this voice paper enough. We covered it. Somewhere, but a big thing. So Whisper is known for 32nd generation a 32nd processing. You extended this to 40 minutes. There was a lot of good detail in the paper about how this was done.Even little niches of how the padding is. So it's very much needed. You need to have that padding in there, the synthetic data generation around this. I'm wondering if you can share the same about the new speech to text, right? Text to speech. So how do you. How do you generate long form, coherent?How do you generate, how do you do that? And then any gems? Is there gonna be a paper?Pavan: Yeah. Yeah. They would be a technical report. Okay. Yeah. I think I could have a lot of details.Real-Time Encoder AdvancesPavan: But me I think the [00:27:00] summary of it, actually, some of the considerations in this paper were, because we started with the wipa encoder as the starting point, and now we have in-house encoders, like the bigger time model, for instance, which we released in January.Also release a technical report for that real time model as well, which is this dual stream architecture. It's an interesting architecture. You should check it out. And there we have a causal encoder and I don't think there's any strong, multilingual causal encoder out in the community. So we thought it's a good contribution.So that's one nice encoder there. Other people want to adapt. That's a good end code. And we train it from scratch. I think her. Post stack is now mature enough that we are able to train super strong ENC codes. And some of these considerations, like spatting and stuff, is a function of the Whisper ENC code.And now that we train encoders, inhouse the design concentrations are different.Scaling Context for TTSPavan: And for the question on text to speech, I think that's also leans onto the original auto aggressive decoder backbone. I think, it says very, almost identical considerations. I think the long context in it's not even long con, [00:28:00] so the model processes audio at 12.5 herds, so one second maps to like 12.5 tokens.So I think one minute is like 7.8 tokens. You can get like up to 10 minutes in eight K context window and get half an hour and 30 K context window. So that's and 30 2K context is something that's we are very comfortable training on. We can extend it even much longer. 1 48 K. Okay. You can naturally see how it can extend to even our long generations.Yeah. We need the. Like data recipe and the whole algorithm to work coherently enough through such long context. But the techniques are some way very similar to the text, long context modeling. And the key differences, it's just doing flow matching order regressively instead of a text open prediction.swyx: Okay. I think that was most, most of the sort of voice questions that we had. ButWhat Makes a Model SmallVibhu: I have a big question on Mr. Al, Mr. Small. So what is small? How do we define [00:29:00] small? What is this? What is this? I remember the days of Misal seven B on my laptop. The snuff fitting on my laptop. I could run it on the big laptop, butGuillaume: it's just additional.Question of terminology, like here what we did, baseball is north active parameters, but it's true. Really not give it another name, but yeah, we could have called it medium, but only, I,I suppose it's a model that we released mixture of experts. It's a model that combines different model before which we were doing the same, is that we had one model, general model for Israel. Doing instruction following, were like a separate model that was Devrel trial. So qu coding specify specific to code with another model for Reason Maal.So this were separate artifacts built by different team at trial on what we're doing is basically merging all of this. It was, you had pixel trial was the first vision model. We was like a separate model on the way we do things internally is that we have one team focus on one capability, build one model.On the means mature, mature enough, we decide to merge this into the [00:30:00] matrix. But here it was the first time we basically match all of this into one. But there are some other things we did at first time to merge time, for instance, like more capabilities or function coding I think would be, are, it's going to be much, much better in this trial, small platform.But but yeah, so it's our latest model on the working is,Vibhu: and yeah, key things is it's very sparse. Six, be active pretty efficient to serve. 2 56 K context. Yeah,Merging Capabilities vs Specialistsswyx: I think what's interesting is just this general theory of developing individual capabilities in different teams and then merging them.Where is this going gonna end up?Vibhu: Like we've seen the five things put together in this. Yeah. What are the next five teams?swyx: I think actually OpenAI has gone away from the original four Oh. Vision of the Omni model. This was what they were selling. All modalities and all modalities out.But I feel like you might do it.Guillaume: I think there's some mod where it's not competitive use, for instance for audio. For audio here, if you want to do transcription, I think it makes no sense to use a model. If you just want to trans tech it, it'll be very inefficient. If you want to do audio, you probably just want to be the [00:31:00] one VR 3D model performance essentiallyswyx: the same.It's going to be incredibly cheaper. So here, that's why we wantGuillaume: to have a separate but just does this. Yeah, I think the question is just, yeah. If you are to, to your model. By speech and you asking like a very complex questions on how you do this on the, just to cascade things. Do you want to put a d in a model that has like a one key around it?It's like a, not a competitive discussion, I think unaware if you doing into the direction, but that's possible. Of course. But yeah. But I think for us, the next capabilities we want to try to integrate into these models when we are going to be yes, like marketing or no reasoning better, I think more capabilities that people don't talk too much about, but at high bottom, I think for our customers in our, on different industries, for instance, things are around like a legal computer.I design all these things that is this males out of the box are to put at that. Because people, if you don't prioritize this, there is not like too benchmark on that. Butswyx: this done how toGuillaume: make this good and this just start to do the work. Extracting some that processing it [00:32:00] expression. So yeah.But we are offering the imagine to this.swyx: I think for voice. Yeah. The key thing I think over maybe like the last year or so with VO and gr Imagine and all these things is joining voice with video, right? Which people don't understand spatial audio because like most TTS is just oh, I'm speaking to a microphone in perfect studio quality.But when you have video, like the voice moves around.Pavan: That's true. The constitution was a little different in the sense that there it's like a a standalone artifact where you get the whole thing and you consume it. But in a conversational setting, it's a, you need the extreme low latency.swyx: Yeah,Pavan: streaming would be one of the primary concentrations.swyx: You can build a giant company just doing that, right? So you don't need to do the voice, but I was just know on the theme of merging modalities, that is something I, I am like, wow. Like I didn't, everyone up till, let's say mid last year was just doing these like pipelines of okay, we'll stitch a TTS model with a voice thing and a lip sync [00:33:00] thing and what have you.Nope. Just giant model. Yeah.Open Source MissionVibhu: I have a two part question. So one is, it's still open. It seems like open source is still very core to what you guys do and I just have to plug your paper. Jan 2024. This is the one trial of experts like. Very fundamental research on how to do good.Moes paper comes out very good paper for anyone. That's just side tangent. No.swyx: This thing caused, we bring back, eight by 22 was like the nuclear bomb for open source. I think it takes Shouldn be more seven B more. Yeah. Yeah. But this is a bigger opposite than me.Yeah. Yeah I don't remember this. I remember, I don't think it was January, right? It was like new reps it was, it dropped during new reps and everyone in Europes was December of 25th, I think. Yeah. The model was did as well.Vibhu: It's just a little update probably.swyx: Yeah. No, but you have a point to make.Vibhu: No, you gotta check that. But then, I just want to hear more broadly on open source for you guys, and when you had asked earlier [00:34:00] about what's next, what are the other, side tapes working on you. You put out Lean straw. This,swyx: it's not necessarily surprise. I was like, I don't, this doesn't fit my mental model or Misra.Guillaume: Yeah. First for open source in general, I think it's really something which looks to the January of the company. I think we started it per once, is we so we have open sourcing with, since the beginning and even before this. So before this, so me and Tim were at Meta, we released LA and I think what was really nice.To see that before this, for most researchers like universities, it was impossible to work on elements. There was no alien outside. And if you look at many of the techniques that were developed after, for instance, was open source all this post-training approaches like even DPOD, like preference optimization, all of this were done by people that had access to this portal.And it'll have been impossible to do without this. So it's really making sense, move faster. So we really want to contribute to this ecosystem. I think like the deep and also like very lot of impact. All these papers that are I think in the open source community are really helping the science community as a whole to move faster.So [00:35:00] we want contribute to this ecosystem. That's why we're releasing very detailed technical reports. So ma trial and our first reason model, and ation, lot of results, things that work, things that did not work as well. Think helpful on the, yeah, so for the audio model also to share a lot of details, share of them for real time model.And the, yeah, so we really want to continue this, basically belong to this community of people who share science. I think we really don't want to be, leading in a world where the smartest model, the best models are only behind, close doors. Only accessible to a shoe companies that we, as a power to decide we can use them on it.I think it's a scary future. We don't want to live in, we really want this model to be accessible to anyone that want. Intelligence to be used unaccessible by anyone who can use it. So yeah, so that's why we are pushing this mission and source model. Yeah. So not, so yeah, no strategy. So it's open source, not the first model, so not the best on the Yeah.Lean and Formal ProofsGuillaume: LIN trial I think is also one step into this direction. So it's yeah, a bit different than what we are usually releasing. But we have a small team internally [00:36:00] working on them. Formal proofing, formal math. So I think a subject we care about in general and we were working on reasoning. I think we started too early before doing reasoning without LMD is very hard, especially when you work with formal systems because the amount of data you have is negligible.It's addressable community of people writing like formal proofs. But the reason why we like it is because I think there is if you look at what people are doing with reasoning, is there, the problems that you can use. Are usually going to be problems where you can verify the output. So for instance, all this ai ME problem where the solution is a number between 100, like a thousand.So you can verify, compare this with a reference or it's an expression. You can actually compare the output expression generic with the reference. But there are many, most of them have problem and most of the reason problem. There is no like way to easily verify the solution. If the question is show that F is continuous, cannot compare in the reference, right?If it's a probe that this is true or probes is properties, there is no way to. You cannot act, simply verify the correctness of your proof. So it's hard to apply the, there is no referable reward here. So [00:37:00] what you could provide is of course, like a judge and judge that will look at your proof. But it's very hard and it's very, you could do certain, some reward hacking happening there.So it's difficult. You could provide like a reference proof, but then there are also many ways to prove the same thing. So if the model says give negative reward because it's a different poop, maybe it was still digit proof, just different. So it's not going to work well. What's nice with lean and with formal probing is that you don't have to worry about this whatsoever.We just,swyx: they're all function is largely compiles in lean is functionally the same. Exactly.Guillaume: It's like a problem if it compiles it's correct. It's very easy. And you can apply this and then you can,swyx: it's just way too small. So no human will actually go and do it.Guillaume: Yeah, that's exactly.It's the only people can do it. It's like a very small committee of people doing a PhD on that. So it's super small. And it's sad because it's actually very useful on not just mat, but also in software verification. So for instance, software verification today. So tiny market. Very few industries work on this and we need that.It's usually going to be like companies like building airplanes, air robotics,swyx: likeGuillaume: things [00:38:00] where they absolutely want to be sure. Life depend on this, but it's very rare that people formally verify the correctness of their software. But I think one of the reasons for this is simply that it's just hard to do.swyx: Are you think of TLA plus? It's the language that some people do for software verification? No. That people use in a ference, but but yeah, it's the reason I think why people don't use it more and why this industry is not as big as could be is because it's very hard. But now with cutting edges that are there, it's going to be very different.Guillaume: We're going to see much more of this. So I think yes, industry there is going to be much larger in the future that we, these models. So yeah. Here also anticipating this a little bit, we wanted to work on that because it's proving like a math theory and like a, essentially the same tools.swyx: Yeah.Reasoning Transfer and Agentsswyx: One of my theories is that because the proofs takes so long, it's actually just a proxy for long horizon reasoning and coherence and planning. Maybe a lot of people will say okay, it's for people who like math. It's for being okay. It's like a niche math language. Who cares? But actually, and you use this as part of your data mixture for [00:39:00] post-training and reasoning, actually, it might spike everywhere else.Yeah. And I think that's un under explored or no one's like really put out a definitive paper on how this generalizes.Guillaume: Yeah, absolutely. AndPavan: I think evenGuillaume: that's what we're seeing already. For instance, you should do some reasoning on math as then the American should do reason even.Yeah. In the early stage. So we, the, there is some transfer, some sort of emergence that happens. And I think some, it's also interesting, it's not just I think the topic in general, but it's, there is a lot of connection with this on including agents because. Sometimes the model can see like a three that it has to prove it's very complex, but then it can take the initiative to say, I'm going to prove this three lr.I'm going to suggest three Rs, and I'm going to in parallel prove each R. So three of them in parallel with sub agents, but I'm also going to prove them in theory and the three tool so you can do this also. Pretty interesting. You can, even if you fail to put one of the LeMar, you can actually, maybe you succeed to put the normal lema too, so you get some possible reward here.So it's a bit less Spartan issue, just get to zero one for the entire thing. [00:40:00] So it's pretty interesting. I think we can actually,Vibhu: yeah, it's also an interesting case just for specialized models in general, right? Like the cost thing you show is pretty interesting yeah, similar score wise, you are, thirty, seventy, a hundred fifty, three hundred bucks.Smaller.swyx: I think cost is a bit unfair, right? ‘cause this one is at like inference cost. It's always there on top with their margins on top of it. But, we don't know anything else, so we gotta figure it out.Vibhu: Okay.Next Frontiers in TrainingVibhu: I did wanna actually push on that more. Not on cost, but you mentioned about, okay, it's a great way to have verifiable long context reasoning.What are other frontiers that, I'm sure you guys are working on internally, there's a lot of push of people pushing back on pre-training. Scaling, RL pushing, compute towards having more than half of your training budget. All on rl. Where are you guys seeing the frontier of research in that?Guillaume: You mean theVibhu: just in foundation model training in the next, one thing that you guys do actually is you do fundamental research from the ground up, right? So you probably have a really good look at where you can [00:41:00] forecast this out.Guillaume: Yeah. I think for us we're still working a lot on the pre-training side.I think we are very far from situational, the pre-training. I think ML four preprinting will be like big step compared to everything we have done before. So we are pretty excited about this. And I think on the other side, I think now we have more and more to think about this algorithm that will actually support this very long trajectories.I think when it was, for instance, GRPO for it doesn't really work this any bit of policy. Which was okay initially because you are solving math problem that can be solved in like a few thousand tokens. So the model can alize them pretty quickly. So when you do your update, the model is never too far off.It's never too far off. But now when you are moving towards this kind of problems where certain takes hours, like six hours to get a reward, then your model is co pick places. So you have bi new infrastructure that supports this, but also new A, so now everything we're doing internally, we're trying to. Build some infra that we actually anticipate is what we have in six months, one now, which is this extremely no scenarios on the, I think when we started Missal, part of me and [00:42:00] we wanted to, is very nice under element where people are there, they can do research, they like with a lot of resources.So it was nice. I think things changed a lot when I think when J Pity came out. I think after that I think was. This one is same again. But but yeah, but it was nice. And I think we also want to work part of this descrip beforeswyx: coming to the end.Hiring and Team Footprintswyx: We're just, obviously, I think you guys are doing incredible work.You've, they are a very impressive vision for open source and for voice. What are you hiring for? What's the what are you looking for that you are trying to join the company?Guillaume: Yeah, so we are hiring a lot of people in our sense team. We're hiring, in all our offices. So we have a, our H two is in France in Paris.We have a small team in London. We like a team in Pato as well. Co we open some offices in in SAU, in Poland. So one in Zurich. We also like some presence in New York as well on Sooner one in San Francisco. So we all bit either way also like hiring remotely. So we're going the team trying to hire like very strong people.I think we want to stay, so the team is not. Instead of fairly small team. [00:43:00] But I think we want to keep it that way. ‘Cause we we find it quite efficient. So like a small team they agile so yeah.swyx: Okay.AI for Science Partnershipsswyx: Let's focus on science and the forward deployed. We actually are strong believers in science.We started the our new science pod that focuses specifically on the air for science. What areas do you think are the most promis.Guillaume: What we're pretty excited about right now, and something we have already started doing or that we'd probably be able to share more about this in a couple of months, is that we are exploring AI for science.And there are a lot of areas where we think that you could get some extremely promising buzz. If you were to apply AI in these domains. There are a lot of long inputs. You just have to find these domains where actually AI has not been yet applied, and it's usually hard to do because the people working in those domains don't necessarily know the capability of these models.They don't know. How I would just have to pair them with Yeah, exactly. Your researcher slashing, which is actually hard to do. But this matching, we're doing it naturally with our customers. So we have some company we are very closely with. So for instance, ISM Andreesen are one of our partners, so we're doing some research with them on their other, like tons of extremely interesting problems.Columns in physics, in [00:44:00] science matter science that they're essentially the only ones to work on. ‘cause they're doing something No, no one else is doing on the, yeah. So there are many domains where AI can actually revolutionize things. Just you have to think about it on you familiar with what can do or to apply it.So yeah, it's something where more modeling with our partners, with our customers sort AI for s, but.swyx: Yeah. Okay.Forward Deployed Skillsswyx: And then for deployed what it makes a good four deployed engineer, what do they need? Where do people fail?Guillaume: I think it's usually you need people that are very familiar with the tech and not necessarily with a lot of research expertise, but that are actually pretty good at using this model that can actually like that know how to do functioning, that know how to like, start some error pipeline.And it's it's not easy. It's something that mucus. Majority of companies will not be able to do this on their own. So here I think we need people that are, that like to solve problems that are accept solving some complex, very concrete problem. It's applied science basically.And yeah, so I think it's not too different. I think from the case you need in research because it's essentially you are trying to find solutions to problems that in [00:45:00] customers have not yet. So sometimes it's easy. Sometimes you're here to do the work. You have to like create synthetic data.Find some edge case. So it can be, yeah. Depends on the problem. But but yeah, you have to, I think it also a bit of patience on the be creative. I think very similar skill is Asian,Pavan: the diversity of the work they do. It always surprises me. It's it's, it goes all the way from the kind of stuff they encounter in industries.It's just very interesting. I think.swyx: Any fun like success anecdotes.Guillaume: Yeah, it can be actually training this small model on edge that just we do one specific thing can be like training some very large model without some specific languages as well. Making models really good at some tube use, like for instance, computer ID design, these kind of things.Is that pairing with vision as well? Yeah,Pavan: and the fact detection for chips or like in, in factories identifying things like it, the. Diversity could be anything where you can deploy these foundation models. So yeah the work to make it work in that specific setting, basically whatever it takes to make it like add value in that, by the way, workflow.Vibhu: Yeah. [00:46:00] And it goes across the stack, right? Like even just pulling up the website like.swyx: It's so broad on compute. It is so broad.Vibhu: We didn't even touch on if you have a coding CLI tool. One thing you guys were actually like, I think the first tool was agents, ral agents. You had the agent builder, you can serve it via API and all that.And I'm guessing forward deploy people.Guillaume: Yeah.Vibhu: Help build that out and stuff.Customer Feedback LoopGuillaume: It is also why we are, so we're doing many things, but I think that's also part of the value proposition that sometime know customers. They're always very. Extremely careful about their data and they don't want to, they don't like, trusting so many partners, trusting one partner for code, giving the data to another third party for like audios and another one.So they don't like this here. What they really like with our approach that we can help them on anything so they don't have to send the data to so many clouds. So yeah,swyx: I think that there can be many orders of magnitude more. F Ds then research scientists and they don't need your full experience, but they're still super variable to customersGuillaume: in practice.These two teams [00:47:00] are still quite intertwine, very often. Yeah. So first of all, they're using the same tools, the same data pipeline and everything on the, it's it's very helpful for the science team to get the feedback and the solution team ‘cause they can. Look at these customers are trying to do this.This is not working. It can really be show in the next version. Yeah. But this is basically a real world eval. Yeah, it's real world eval and it's not something, for instance, if you're just working in the lab, it's just ships model. But you don't do this work of for customers. You have no idea for whether your model is good at this H case.For instance, you even in year found this, right? So yeah, there is a very gap, big gap between the public benchmarks that are very like academic. OnPavan: the rare cases are just very diverse and in the specific concept of a customer, you can fine tune and make it like first evaluate, create a solid eval, benchmark, and then measure in the context of their, the kind of audio.Like for instance, one use case is literally just, there's the word for kids and they have to just say it out. It's a very specific thing. You're just saying one word and then you have to you, you'll grade the kid whether they did it right or not. It's [00:48:00] like R for, but so there're very diverse use cases and the idea is that they, the.Applied scientist engineer will go and make it better. And then from the learnings we incorporate it into the base model itself. So it's it's just better out of the box.Vibhu: Yeah. It's a good full circle system. Like the foundation model evals are all just proxies of what you really, you're never gonna have one that says it, it doesn't make sense for there to be, a one word transcription like that.It's not something you wanna fit on. Perfect.Wrap Up and Thanksswyx: Everyone should go check out everything that Michelle has to offer and try the TTS model, which will link in the show notes. But thank you so much for coming tha thanks. Such a stretch. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

Hi All, Here is my latest House mix with the first 90mins a recreation of my Suncebar set at the recent Southport Weekender, early doors so good grooves, nice energy, some promo pressure and a couple of old tracks building the room... then into lots of great new vocal tracks from Tom Funk Ft Andre Espeut, Donae-o Ft Omar & Lemar, Jemaho, Danny J Lewis & Mike City, Harley & Muscle Ft La India and massive tracks by Soulmekanikz & Hannah Khemoh, Louie Vega & Msaki and Crackazat... theres deeper grooves from Randy Peterson, Jimpster, Simon Paw, MissFly & David Bailey and Oliver Knight... enjoy the selections x Paul Stuart - Do You Know House 2026 #03 - 29th March  202601. Brian Jackson - Home is Where The Hatred Is (12" Version) (BBE 2026)02. Alton Miller - Give It Up (Shaka Remix) (quintessentials 2026)03. Elements Of Life Ft Lisa Fischer - Soar (Vega 12" 2025)04. Shaka Ft Eve -  Sonic Of Joy (Mate 2026)05. Debbie Gibson - One Step Ahead (MAW Underground Mix) (Atlantic 12" 1991)06. Pat Bedeau & Kayleigh Gibson - Sweet Music (Bedfunk Dub) (Bedfunk Promo 2026)07. Blizzard Beats Ft Keisha Boyd - I Wanna Be Free (Deep Fusion Mix) (Deep Fusion 2026)08. Visions - Is This Real (Hugo's Dubby Vox Edit) (Promo 2026)09. Pat Bedeau with Sofia Rubina & Rona Ray - Let It Begin (Bedfunk Promo 2026)10. Fonda Rae - Livin' In Ecstasy (Groove Mix Edit) (Wave 12" 1996)11. Shay dT - Lift It To The Light (Open Bar 2026)12. Soulmekanikz & Hannah Khemoh - Hold You To It (Main Mix) (Bedfunk 2026)13. DJ Romain Ft Darryl D'Bonneau - It's The Spirit (83 West Vocal) (Nu Faze 12" 2004)14. Pat Bedeau with Hannah Khemoh & Anna-Marie Johnson - Whats The Answer (Mark Francis Remix) (Househead London 2026)15. Kalk - In The Spirit (Brif 12" 1998)16. Wez Whynt Ft Aneesa-Marie - Falling For You (Fizzikx Remix) (Raising 2026)17. Black Rascals Ft Roger Harris - Keeping My Mind (Paul Stuart Edit) (Sumo 1993)18. Donnie - Cloud 9 (SoulMekanikz Remix) (SoulMekanikz Promo 2026)19. Last Nubian & Goldbar Ft Josh Leon Wray - Dance Together (Sean's Togetherness Dub) (Good Vibrations 2026)20. Last Nubian & Goldbar Ft Josh Leon Wray - Dance Together (Sean McCabe Remix) (Good Vibrations 2026)21. Katermurr - What Is (Original Mix) (Dog With A Bone 2026)22. Nomadics - Better Man (Frits Wentink Remix) (Pronto 2026)23. Danny J Lewis & Mike City - Flirty (Wez Whynt Edit) (Househead London Promo 2026)24. Franck Roger - Searchin (Real Tone 2026)25. MissFly & David Bailey - Hold On (Soulfly 2026)26. At One & Atjazz - The Word Is (Atjazz 2026)27. Reggie Steele & Dawn 'Souluvn' Williams - Vulnerable (David Harness Remix) (Makin Moves 2026)28. Lukamusic & Griffith Malo - Let You In (Ft Tebza) Groove On 2026)29. Soulmekanikz & Hannah Khemoh - Hold You To It (Dub Mix) (Bedfunk Promo 2026)30. Ron Carroll - The Sermon (Wez Whynt Remix) (Wez Whynt Promo 2026)31. Yooks Ft Hannah Khemoh & MissFly - Rescue Me (Infinity Music 2026)32. Melchyor A - Work It Out (Melchyor A's Touch Mix) (Razana 2026)33. Jemaho - Joudia's Groove 34. Crackazat - Shine (Club Mix) (Freerange 2026)35. Donae-o Ft Omar & Lemar - Nights Like This (Dave Lee Remix) 36. Harley & Muscle Ft La India - Then Came You (Jimpster Remix) 37. Randy Peterson - Handle The Change (Rob Redford X-Cursion Remix) 38. Simon Paw - Eternal Sunshine (Notturno Promo 2026)39. Louie Vega & Msaki - Mercy Of Time (Louie's Ruff Mix) 40. Jimpster - Crispy Pancakes (Freerange 2026)41. Ralf GUM Ft Thuso Wa Sibini - Dream's Alive (Ralf GUM Main) (GoGo Music2026)42. Oliver Knight - Let It Go (Extended Mix) (Large 2026)43. Hidden Spheres - You Don't Know 44. Tom Funk Ft Andre Espeut - Brighter Day (Ziggy Funk Remix) 

Donae'o, Omar, Lemar, House Gospel Chior, Boddhi Satva & Solah Mae, Ayce & Spirit of HouseJazzedMontage, RedSoul, Cafe 432, Rose Windross, MissFly, David Bailey, JAH.Thank you.

We've reached the bittersweet finale of Love Stinks! Month here on We Drink & We Watch Things, and we're closing out our "Not-So-Love-Love-Stories" with Damien Chazelle's 2016 neon-soaked daydream, La La Land. It's time to mix up something sophisticated but a little sharp - perhaps Mackenzie's Lillet-ing Go - as we follow Mia and Sebastian through the traffic jams and jazz clubs of Los Angeles, where the pursuit of a dream often costs more than you're prepared to pay.This week, we examine the film's central conflict: the agonizing choice between the person you love and the life you've always wanted. We explore the chemistry between Emma Stone and Ryan Gosling, the vibrant, primary-colored cinematography, and the haunting "City of Stars" melody that anchors their journey. Most importantly, we unpack that devastatingly beautiful seven-minute epilogue, debating whether the "happily ever after" montage was a celebration of what they gave each other or a heartbreaking reminder of the life they had to surrender to reach the top. It's a conversation about timing, the reality of "the one that got away," and why sometimes the most romantic thing you can do for someone is let them go.If you love musicals that ground their fantasy in the harsh light of reality, or if you've ever wondered if your success was worth the sacrifices you made along the way, this is the perfect curtain call for the month. We're blending our adoration for the film's craft with our usual casual banter, making this a spectacular, tear-jerking conclusion to our second annual Love Stinks! marathon. Here's to the fools who dream, even if they have to dream alone.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming up. DM us what you want to hear about next!Interested in what we're watching off the pod? Check out Mackenzie or Lemar's Letterboxd!

Love Stinks! Month continues its mission to dismantle the "happily ever after" this week on We Drink & We Watch Things with the 2009 indie-staple, 500 Days of Summer. This is the ultimate "not a love story" about a boy who meets a girl, and it's an episode where our own perspectives are as non-linear as the film's timeline. Grab a drink - maybe try Lemar's Sweet Disposition - and join us as we revisit the greeting-card-writer's guide to heartbreak.This week, we tackle the sharp divide in our viewing experiences, as Mackenzie grapples with Tom's projection and entitlement, while Lemar navigates his own deep-seated nostalgia for this quintessential hipster time capsule. We examine Tom's selective memory, looking at how he ignores every "we should just be friends" warning to chase a soulmate fantasy that only exists in his head. We discuss the brilliance of the iconic "Expectations vs. Reality" split-screen sequence, the Hall & Oates dance number that captures the peak of infatuation, and why Zooey Deschanel's Summer is often unfairly vilified for simply being honest about what she wanted. It's a conversation about the danger of romanticizing "bizarro crap" in common and the painful, necessary growth that comes when the seasons finally change.If you've ever found yourself staring at a closed door hoping it would open, or if you just want to hear us debate whether Tom is a hopeless romantic or a "nice guy" nightmare, this is the episode for you. We're blending our conflicting takes with our usual casual banter, making this a perfectly polarized addition to our month of Not-So-Love-Love-Stories. This is not a love story, but it is definitely an episode you'll love.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

March is back, and that means we're leaning into the mess with the return of Love Stinks! Month - our annual deep dive into the "Not-So-Love-Love-Stories" that make us cringe, cry, and question everything. We're kicking things off with the ultimate manifesto for the death of romance: Roger Avary's 2002 chaotic collegiate trip, The Rules of Attraction. Grab a drink try our Emotional Vampire cocktail - as we head to Camden College, where the only thing more plentiful than the drugs is the total lack of genuine connection.This week, we tackle the polarized reactions between us, as Mackenzie struggles with the film's relentless nihilism while Lemar holds onto his nostalgia for this mid-aughts time capsule. We examine James Van Der Beek's aggressive pivot away from Dawson's Creek as the "sexual vampire" Sean Bateman, Shannyn Sossamon's doomed pining for the absent Victor, and Ian Somerhalder's heartbreakingly misdirected search for intimacy as Paul Denton. We also break down the film's flashy, hyper-stylized techniques—from the famous split-screen hallway encounter to the dizzying European montage—and debate whether the movie's bone-deep cynicism is a truthful portrait of youth or just "directorial masturbation."If you've ever loved someone who didn't even know you existed, or if you just want to hear us argue about whether these characters are "horrible people" or just tragically human, this is the episode for you. We're mixing our conflicting perspectives with our usual casual banter, making this a perfectly messy start to our month of cinematic heartaches. Just remember: at Camden, the party never ends, even when the romance is long dead.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

Smooth 2000s R&B slow jams and sing alongs, the perfect cruise vibe Stream & Share!

Your weekly mixtape of Funk, Soul, Disco, House, and a few things in between. Vin & Vinyl • Tim TitsworthFor More Info:   https://linktr.ee/toolcrateradio or @vinandvinyldj Before I Let Go (Party Pupils Remix) | Frankie BeverlyReal Love (Party Pupils Remix) | Mary J. BligeMy Girl | Softmal, NytronLet's Work | PrinceMy Forbidden Lover (Dimitri from Paris Remix) | ChicNights Like This | Donae'o, Omar, LEMAR, House Gospel ChoirFeelin' Love (Dr Packer Extended Remix) | SoulsearcherFast Car | Ministry Of FunkInside My Love | TWOPILOTSSuper Fresh (Dsco Funky Mix) | Ministry Of FunkFunky City (Funk Mix) Funky Town | Funk The Beat / LIPPSP.O.W.E.R (Original Mix) | Nytron, Sugar HillI Found Lovin' (Scotty Edit) | The Fatback Band, Liam KeeganNever Give You Up (Joey Negro Extended Mix) | Portia MoniqueOne More Time | Daft PunkSunshine People | Dario D'AttisMy Flame (Party Pupils Remix) | Bobby CaldwellSet It Out | Purple Disco Machine & Boris DlugoschSpecial (Original Mix) | ChesusRendez-Vu (Radio Edit) | Basement JaxxSeptember (Nu Disco Mix) | Discotron, HP VinceGettin' Jiggy Wit It | Block & Crown, Francis GoodmanI Just Might (Austin Millz Remix) | Bruno Mars, Austin MillzDaddy Cool (Dario Caminita Revibe) | Boney M.Rasputin (Extended Mix) | Majestic, Boney M.

Mañana el Atlético de Madrid recibe al Espanyol en el Metropolitano antes de la vuelta de Champions ante el Brujas. Por ello, se esperan nuevas rotaciones en el once. Analizamos cómo pueden salir ambos equipos y, además, repasamos la información que relaciona a Giménez con Boca Juniors y el buen rendimiento de Lemar en el Girona. Todo ello, en De Padres a Hijos. Conviértete en miembro de este canal para disfrutar de ventajas: https://www.youtube.com/channel/UCl_X6QI3mnJsttsp96OsCZQ/join Correo: depadresahijoscontacto@gmail.com Twitch: https://www.twitch.tv/depadresahijos Instagram: https://www.instagram.com/depadresahijos1903/ Twitter: https://twitter.com/DPaH1903 TikTok: https://www.tiktok.com/@depadresahijos1903 Youtube: https://www.youtube.com/@DPaH1903 Spotify: https://open.spotify.com/show/6WcodO17ASqRfxYNrjhVGD #atleticomadrid #atleti #futbol #laliga #football

Guest Include:   - Travis Lemar, Central Cass Head Wrestling Coach - Mark Zabel, Grey Zabel's Dad - Jory Collins, NDSU WBB Head Coach    

Your weekly mixtape of Funk, Soul, Disco, House, and a few things in between.  Vin & Vinyl • Tim Titsworth For More Info:   https://linktr.ee/toolcrateradioor @vinandvinyldj | Dance, Dance, Dance (Yowsah, Yowsah, Yowsah) | ChicLet the Beat Hit 'Em | Lisa Lisa & Cult JamEveryman (Joey Negro's Salsoul Strut) | Double ExposureFinally | CeCe PenistonNights Like This | Donae'o, Omar, LEMAR, House Gospel ChoirI Hear Music In The Streets (Classic Boogie Mix) | Louie Vega, Unlimited TouchWhen You Wake up Tomorrow | Candi StatonControversy | PrinceNights Over Egypt (Maw Mix) | IncognitoThe Smurf | Tyrone BrunsonTurn It Up(DJ Spen & Gary Hudgins Remix) | Ann Nesby, DJ Sidney PerryIf I Can't Get Down (Mousse T.'s Funky Shizzle Extended Mix) | Mike DunnKeep On Dancing (Original Mix) | Dimitri MeinzRing My Bell | Anita WardDown (Extended Mix) | The Vision, Dames BrownCan't Go for That (Original Mix) | Giacca,FloresRisin' to the Top (Groove n' Soul Sunday Service Vox) | Groove Junkies, Reelsoul Thank You | Bebe Winans

Ear Kandi of 2025:Robin S, The FREEZ project: Don't Let Go (Original Mix)Girls Of The Internet, Anelisa Lamola, Dennis Ferrer: Affirmations (Dennis Ferrer Extended Remix)Terry Dexter, Sweet Georgie, Michael Gray: You Saved Me (Michael Gray Extended Mix)Aaron K. Gray, Conway Kasey, Timmy Regisford: You (Timmy Regisford Remix)Oskido, Candy Tsamandebele, Dr Feel: Tsa Ma Ndebele Kids (Extended Remix)Gianni Romano, Emanuele Esposito, Aüra, Trick Beat, Djarah Kan, Bun Xapa, Ziddo: Water (Bun Xapa, Ziddo Remix)Lilac Jeane, LaVeda: Hand & Glove (Original Mix)Stacy Kidd, Tiffany Jenkins: Fallin (Remix) (Main Remix)Ben Westbeech, RAHH, Crackazat, Dames Brown: Do Me Right (Crackazat Extended Remix)Donae'o, Omar, Lemar, House Gospel Choir: Nights Like This---------------------------------------------------------------------Thanks for listening and be sure to share the music with your friends. Download a copy and share with like minded people. Android Nation!  Get the KEWL Lounge app in your Google Play store, Free! From the comfort of your smart phone, tablet, & computer quick access to all things KEWL in the KEWL Lounge. Websites, music, podcast, store, Facebook, Twitter, and contact info all in one app. Listen to the KEWL Lounge 24/7 KEWL Music 4 KEWL People http://www.kewllounge.net Click on, Tune in & B KEWL!!!

Zo! & Tall Black Guy - Keep Him Satisfied (feat. Sy Smith)Sault - Faith (Kutcorners Kiss of life Blend)De La Soul - Cruel Summers Bring FIRE LIFE!!BREIS - Stranger On EarthThundercat - I Wish I Didn't Waste Your TimeRuby Rushton - OttoThe Circling Sun - ConstellationThe Illustrious Blacks - TurbulenceWheelUp - Safe in Your Arms (feat. Abacus & Liv East)Jazzanova - Mwela, Mwela (Here I Am) (Little Big Beat Studio Live Session)Kindred The Family Soul - I Need You (Zo! & Tall Black Guy Remix)Karizma - H!t Bottom (feat. Atjazz)Steven Bamidele - Cuckoo Goes the Clock feat. Cam Thomas Sylvester - You Make Me Feel (Mighty Real) (Bright Light Bright Light Remix)Harold Melvin & The Blue Notes - Bad Luck (Dimitri from Paris Disco Re-Edit)Ludwig Göransson - Magic What We Do (Surreal Montage) feat. Miles CatonMary Lou Williams - Rosa MaeOscar Rocchi - MaisEither / Orchestra & Ethiopian Guesta - Amara RumbaModern Sound Quartet - CampanuleSecret Voices - Write Your Own Refrain feat. Ursula RuckerCARRTOONS - Sunshine (feat. Julia Zivic)lovetempo - Wanna Be With You (feat. Kate Mattison of 79.5)El Michels Affair - Carry Me Away feat. Norah JonesSAULT - L.U.Incognito, Maysa - Lost Until I Want to Be FoundLance Ferguson - Caveman BoogieFaith, Hope & Charity - To Each His Own (That's My Philosophy)Tom of Brooklyn - Spend All My Time Loving YouLouis Baker - Keep On (Hollis P Monroe Remix)Sio x Tesfa Williams - ContinentsSotomayor - Si te vasSampology - Marigolds for Movement Donae'o, Omar, Lemar, House Gospel Choir - Nights Like ThisAnushka - Higher GroundRichard Earnshaw & Sabrina Chyld - Better For MeEnergy Exchange Ensemble - BRIGHTER STAR (Close Counters Remix)Mr. G, Kai Alce - U Feel Mi (Kai Alce's New Feel)Kyoto Jazz Massive - Kowree Sambazzi feat.Vanessa Freeman & Bembe SegueAlexander Flood - Vibração (Kaidi Tatham Remix)

Hey Beautiful People I'm back once again like a Renegade master this Wednesday on Cruise FM. so try and control your excitement!! The paradise sessions - Discos Revenge returns to its original birthplace on Wednesday's 8-10pm with @markymmp on @cruise_fm UK cruise FM. So in Wednesdays's show We heading into new music territory with an Awesome Dozen feature of tracks Powered by DJ Allan Singleton and some new tracks celebrating music from 2025. So be prepared for another high energy uplifting radio show that brings sunshine and smiles on a a Humpday. It's a Specially Prepped Rewind for your aural pleasure. Much Love Marky MMP Cruise FM, and hope you can join me on this special weekly journey delivered with love.. Title Artist Step Inside The Music Gus Pirelli, Andre Espeut I Know you got Soul (DJ 'S' Remix) Eric B & Rakim Step Inside The Music Gus Pirelli, Andre Espeut Nights Like This (ft Omar x Lemar x House Gospel Chior) DonaeO K-Jee (Ray Mang Remix) AC Soul Symphony, Dave Lee ZR, Ray Mang Spirit Moves (Extended Mix) Michael Gray, Definite Grooves, Dyanna Fearon Celebrate (Michele Chiavarini Remix Extended) Micky More & Andy Tee, Kathy Brown, Sheree Hicks, Michele Chiavarini You & Me (Star Steppin') Phazed Groove Get It Done Fouk You Know Everything (Original Mix) Zetbee Life Will Be (Extended Mix) Michael Gray, Phebe Edwards If You Want Me (Club Mix) Lenny Fontana, Jasmine Lovett Can't Fade My Love (Original Mix) Marcus Soulbynight Dance, Dance, Dance (Trackheadz 6ix Extended Mix) Nick Holder, The Trackheadz Everybody Get Up (Jazz-N-Groove Nu Disco Vocal) Capriccio Rise (DJ Spen & Thommy Davis Vocal Reproduction) Michelle Shellers, DJ Spen, Thommy Davis Hands in the Air Block & Crown 7 Ways To Love David Penn, Saint Etienne You Got It (Richard Earnshaw Extended Vocal Mix) J.Soul, Rona Ray, Richard Earnshaw Baby Don't Change Your Mind (Michael Gray Remix - Extended) Gladys Knight & the Pips Do What You Feel (Dave Lee 2025 Re-Tweak) Joey Montenegro, Dave Lee ZR Pull up to My Bumper Block & Crown (I Wanna Give You) Devotion (Dr Packer & Mikee Freedom Remix - Extended) Nomad feat. MC Mikee Freedom I love you all

 | If I Was Your Woman (Main Mix)  | Stacy Kidd, Tiffany Jenkins | You Got It  | Rick Marshall | Don't Play With My Heart (Main Version - Unified Spirits Edit)  | Merlin Bobb, Mark Francis | Let's Get It On (Main Mix)  | Stacy Kidd, Tiffany Jenkins | Father (Main Mix)  | Stacy Kidd, Steve Brown | Da Funk (Extended Mix)  | Micky More & Andy Tee | Rise (DJ Spen & Thommy Davis Vocal Reproduction)  | Michelle Shellers | Take It (Shapes Instrumental Mix)  | Louie Vega, Keith Thompson, Funki Cadets | Don't Wanna Believe (Extended Mix)  | Memi P. | Commitment Of Love (Original Mix)  | Jordi Cabrera | Take Me To Paradise (Mig's Deluxe Pusher Vocal)  | Miguel Migs | Unforgettable (S.K.O.D. Instrumental Edit)  | Sonic Soul Orchestra, Camden Rose | Sweet Music (Extended Mix)  | Pat Bedeau, Kayleigh Gibson | If You Want Me (Club Mix)  | Lenny Fontana, Jasmine Lovett | Gotta Let Me Go (Extended Mix)  | Gabriel Deb, Miranda Nicole | Shine (Original Mix)  | Distant People, Donald Sheffey | One Night In Rio (Extended Mix)  | Carlos Francisco | You  | Winta | Thinking About Your Love (Original Mix)  | Andromeda Orchestra | Hurt So Bad (Leo Zero Keep Deep Vocal Remix)  | Dan 'The Drum', Carmy Love, Darren Morris | Cause I Know (Melchyor A's Touch Soul Mix)  | Melchyor A | Get On Up (Art Of Tones Extended Remix)  | OK Plus, Emél | Make It Happen (Extended Mix)  | Sgt Slick | Gift Of Love (N.W.N. Remix)  | Delfonic | Dance Dance Dance (Original Mix)  | John Frisco | Paradise Garage (N.W.N. Remix)  | Vincent Inc | Step Into My Life (Extended Mix)  | Osheen | If I Ever Feel Better (Instrumental Mix)  | Hallex M | Deep In The Bottom (Of Africa) (Sir LSG Extended Remix)  | Monique Bingham, Black Coffee | Circles (Joey Negro Extended Disco Mix)  | Atlantic Starr | Mirrored Horizon  | Frank LeMear | Where Have You Been  | Lilac Jeans, Mafia Natives | Nights Like This  | Donae'o, Omar, Lemar, House Gospel Choir | In Walk Love (Extended Mix)  | Rony Breaker, Sean Jones

This mix features the latest singles from my label (Brooklyn BeatDown Music} Biblical Jones - Lonely Without You https://push.fm/fl/lonelywithoutyou TP Corleone feat. K.Joy - Vibrations Download/stream at: https://push.fm/fl/vibrationstp Most songs on this playlist can be downloaded/streamed on most music platforms. **PLAYLIST** **LATEST SINGLE from BIBLICAL JONES on BROOKLYN BEATDOWN MUSIC** Biblical Jones - Lonely Without You https://push.fm/fl/lonelywithoutyou DJ Mes - Get Your Shine Box https://www.youtube.com/watch?v=aP2gBlkeRIQ Del Bianchi, Morris Revy - House It Up!! (Original Mix) https://www.traxsource.com/track/10309705/house-it-up-original-mix Disco N Fusion - Dream Of You (Tony Madrid Re Groove) https://www.traxsource.com/track/13728705/dream-of-you-tony-madrid-re-groove MERLIN BOBB x Mark Francis - Waiting On You (Remix Vocal) https://www.youtube.com/watch?v=-Hjy2LGgidU Booty Doo - Beat Dat (Ron Trax Alternate Mix) https://www.youtube.com/watch?v=fNr686zLfig **LATGEST SINGLE on BROOKLYN BEATDOWN MUSI**C TP Corleone feat. K.Joy - Vibrations Download/stream at: https://push.fm/fl/vibrationstp Maurizio Basilotta & Angie Bee - Tell The Truth https://www.traxsource.com/track/13441477/tell-the-truth-original-mix Saliva Commandos - I Know What to Do (Extended Mix) https://www.youtube.com/watch?v=cQmAjRV3dj8 Bell Mesk - Get Down And Boogie https://www.traxsource.com/track/13796789/get-down-and-boogie Stardate - Go! https://www.traxsource.com/track/13900365/go Terrae Musiq Vybe, Tayo Wink - Sister (Tayo Wink Mix) https://www.traxsource.com/track/14052081/sister-tayo-wink-mix Lj Pepe - Free YourSelf (Original Mix) https://www.traxsource.com/track/13788209/free-yourself-original-mix Donae'o, Omar, Lemar, House Gospel Choir - Nights Like This https://www.youtube.com/watch?v=i8ALMi83OGI Mita Gami & Garden City Movement - Untouchable (Extended) https://www.youtube.com/watch?v=RerHlTQGpR0 Foo Funkers - Ghetto Funk (Original Mix) https://www.youtube.com/watch?v=EA_858xHQ2Q

Paradise Sessions 683 - Disco's Revenge - Directors Cut Edition Awesome 4some - Re—Rubbed edition With Marky P - Cruise FM - 26th October 2025 Hey Hey Beautiful People I'll be Back once again like a Renegade master this coming Wednesday. 
The paradise sessions - Discos Revenge returns this Wednesday with @markymmp on @cruise_fm 8-10pm UK cruise FM. 
So in Wednesdays's show the Stars on 45's are back and this week we feature the iconic Directors Cut Edition in the first hour . In the second hour and not forgetting Allan's Awesome 4Some x 2 along with some modern soulful and funky bangers.. . So be prepared for another high energy uplifting radio show that brings sunshine and smiles on a a Humpday. It's a Specially Prepped Rewind for your aural pleasure. Much Love Marky MMP Cruise FM, and hope you can join me on this special weekly journey delivered with love.. I love you all Here are the listen links on the award winning Cruise FM. , Now Live between 8 and 10 pm Wednesdays 
You may ask how is all this possible in 1 radio show well you'll just have to tune in to find out . So I hope you can join me on this special weekly journey packed with love..
I love you all Here are the listen links on the award winning Cruise FM. ,
Now Live between 8-10pm Wednesdays Tracks Title Artist Lounge-Orchestra-Dreams-Directors-Cut-Classic-Mix-Directors-Cut-Classic-Mix Vintage Baby I (Frankie Knuckles and Eric Kupper Director Ariana Grande Shapeshifters - Back To Basics (Director's Cut Signature Mix) The Whistle Song (Re-Directed) Frankie Knuckles & Director's Cut Frankie Knuckles - Tears Loving You (feat. Yasmeen) Director's Cut & Kenny Summit Blind (Frankie Knuckles Remix) Hercules & Love Affair Missing You (feat. Terri Walker) [Eric Kupper's 'Director's Cut Tribute to FK' Mix] Artful & Ridney Forever Came Today (Frankie Knuckles “Directors Cut Late Night Antics” Remix) Jackson 5 Nights Like This (ft Omar x Lemar x House Gospel Chior) DonaeO It's About Time (Richard Bull Remix) Incognito feat' Joy Rose You Can Have It All (K69 & Dancing Divaz 2025 Remix) Eve Gallagher, K69, Dancing Divaz Elevate Your Mind (Extended Mix) Ethan Gray, Mandel Turner The Bottle (12 Version)" Brian Jackson, Kenny Dope, Louie Vega, Omar What's That Bassline? (Clubmix) Hardcopy, Block & Crown Mr Right Mr Wrong (Original Mix) Paco Caniza, Becka Do It Again (Dexter Troy Remix Extended) Serge Funk, Dexter Troy Let's Go Dancing (Michael Gray & Dr Packer Extended Mix) Sparque, Michael Gray, Dr Packer Love Boat Theme Charo

This week, we dive headfirst into the visual and stylistic feast that is Francis Ford Coppola's "Bram Stoker's Dracula" (1992).The ambition is undeniable—Coppola wanted to make a definitive, hyper-gothic, technically ingenious vision of the classic novel. And yet, for all its spectacular in-camera effects, Oscar-winning costumes by Eiko Ishioka, and Gary Oldman's powerhouse performance, the hosts find themselves a little lost in the crimson mist.Lemar and Mackenzie agree that this film, despite its good parts (and they are gorgeous parts), is simply trying to do too much. We discuss the overstuffed plot, which attempts to be a sweeping historical tragedy, a lurid gothic horror, an erotic thriller, and a faithful period piece all at once. We praise Oldman's captivating Count, the lush, jaw-dropping visual artistry, and the sheer audacity of the production. But we can't ignore the narrative confusions, the wildly uneven supporting performances (poor Keanu), and the overall feeling of maximalism that leaves the story feeling dispersed rather than cohesive.Tune in as we try to see the good in this operatic monster movie, ultimately concluding that sometimes, even a masterpiece can be too much of a good thing.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram and TikTok to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

Send us a textFor Premium MembersHere's some "Class" tunes. Enjoy!1. Untitled (How Does It Feel) - D'Angelo (R.I.P)2. Worthwhile - Nesta 3. BGM - Infinite Coles4. Abantu - Escape Deep5. Nights Like This - Donae'o, Omar, Lemar & House Gospel Choir6. I Waited but You Moved On - Escape Deep7. If Tomorrow Never Comes (Remix) - Escape Deep8. Jesus is my Battlefield (?)9. Something Real - Jaymin10. JUST A DREAM - Isaiah Falls & Alex Isley11. Love Inside - Silk Young12. Catching Bodies - Sekou13. You - Atlantic Starr (Remix) - Atlantic Starr14. Ghetto Smile - B-Legit (ft. Daryl Hall)Aloha!Licensed by  ASCAP 400009874Special Thanks to: Wifey Faye Faye, Brian, Omar, Donna & KenjiSupport the showWebsite https://www.djbenniejames.com TikTok https://www.tiktok.com/@benniejames5 YouTube https://www.youtube.com/@djbenniejameslive Instagram https://www.instagram.com/benniejames3/ X https://x.com/benniejames123 Facebook https://www.facebook.com/bennie.james.10 Studio Phone Line 1-856 295-1753 - (for voicemail message only)Licensed by ASCAP 400009874

This week on Spooky Szn, we shuffle into the world of the undead for one of the greatest horror-comedies of all time: Edgar Wright's "Shaun of the Dead (2004)!"Lemar is in absolute heaven, celebrating this film as one of his all-time favorites, raving about its pitch-perfect pacing, razor-sharp visual humor, and genuine love for the zombie genre. Mackenzie, however, still isn't a fan of zombie flicks... but even she finds the fun, witty heart in this blood-soaked rom-com.Join the hosts as they dig into the genius of Simon Pegg and Nick Frost, dissecting how the film perfectly balances gut-busting laughs with surprisingly poignant drama and gory horror. We talk about the themes of arrested development, the true meaning of friendship, and whether a trip to the Winchester is really the best plan for a zombie apocalypse. Grab a Cornetto, a pint, and maybe a cricket bat, because we're going to tear apart this classic piece of British brilliance.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram and TikTok to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

Our Spooky Szn continues its deep dive into the classics with one of the most celebrated, analyzed, and ultimately unsettling films ever made: Alfred Hitchcock's "Vertigo (1958)." While today it's hailed as a cinematic masterpiece, this film was a notoriously slow burn for original audiences, and Mackenzie and Lemar are ready to dig into exactly why it took so long for the world to catch up to Hitchcock's genius.This week, we're dissecting the very personal psychological thriller that shifts from a detective mystery into an agonizing study of obsession, control, and erotic fixation. We'll be discussing the brilliant technical innovations - like the famous "Vertigo Effect" - and how James Stewart's dark turn as Scottie, coupled with Kim Novak's haunting performance, creates a vortex of guilt and desire. We explore the symbolism of color, the genius of Bernard Herrmann's score, and why the plot reveal two-thirds of the way through is less a twist and more a doorway into true psychological horror.If you love a film that demands repeat viewings, are fascinated by cinema history, or just want to hear a deep discussion on the dark heart of obsession, this episode is a can't-miss part of your Spooky Szn watch list. Don't worry, we'll try not to leave you dangling from a rooftop.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram and TikTok to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

Happy Spooky Szn! We're celebrating the start of our favorite time of year and, more importantly, our TWO-YEAR PODCAST ANNIVERSARY here on We Drink & We Watch Things! To mark the occasion, Mackenzie's gift to Lemar is covering a classic that launched a thousand rules: Wes Craven's "Scream." Grab a drink, make sure your phone is charged, and let's talk about the film that changed horror forever.This week, we're diving into the brilliant meta-slasher that both celebrates and satirizes the entire horror genre. We'll be dissecting the genius of its opening scene, the infamous "rules" for surviving a horror movie, and the legendary twists that still manage to surprise viewers. As an anniversary gift, "Scream" is the perfect choice, blending sharp writing with genuine scares. We'll be talking about its lasting cultural impact and why this self-aware horror flick still feels fresh decades later.Whether you're a horror fanatic who knows all the trivia, a fan of sharp writing and meta-commentary, or just joining us to celebrate two years of drinking and watching things, this is the episode for you. We're blending our spooky season excitement with our usual casual banter, making this the perfect, high-octane start to the scariest month of the year. Do you like scary movies? Because we sure do!This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram and TikTok to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

Satire September takes a dark turn this week on We Drink & We Watch Things as we venture into the disturbing and deeply unsettling world of "American Psycho." This one's a bit of a mind-bender, and it gets even more complex when you bring in the source material. While our resident bookworm Mackenzie hasn't read the novel, Lemar has, and he's ready to share some truly disturbing comparisons. Grab a strong drink (or make our mocktail!) and get ready for a discussion that will definitely make you question a few things.This episode, we're dissecting the meaning of the satire, from the obsession with business cards and the superficiality of 80s yuppie culture to the gruesome violence. We'll be questioning whether Patrick Bateman's murders are real or imagined, and whether the film's commentary on consumerism and toxic masculinity is still relevant today. We don't always agree on what the film is saying, or how effective its satire truly is, but that makes for a fascinating and often chilling conversation.If you've seen the film and want to hear a deeper discussion on its meaning, are curious about how it compares to the famously graphic book, or just want to hear us grapple with a film that's as disturbing as it is brilliant, then you're in for a treat. This episode is a great example of how a satire can be truly unsettling, and we're not pulling any punches in our analysis.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram and TikTok to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.

Anika Singh Lemar, clinical professor of law at Yale University, joins the Business Scholarship Podcast to discuss her article Slum Managers. This episode is hosted by Andrew Jennings, associate professor of law at Emory University, and was edited by Alec Johnson, a law student at Emory University.

The Burn of Consecration is a powerful call to maturity and surrender as God's refining fire removes hindrances and transforms your life.

We're crossing the finish line on Auuuugust Racing Month here on @wedrinkandwewatchthings, and for our final entry, we're taking a look at a comedy that's a bit of a mixed bag for us: "Talladega Nights: The Ballad of Ricky Bobby." This one was a first-time watch for Lemar, and let's just say... the race to love this movie was a bumpy one. Grab your drink, and prepare for some honest (and maybe a little disappointed) takes.This week, we're dissecting the Will Ferrell and Adam McKay collaboration that many consider a comedy classic. We'll be talking about the film's memorable (if slightly absurd) characters, the over-the-top gags, and whether its humor has stood the test of time. Mackenzie and Lemar will both share their perspectives on what worked for them and what fell flat. It might not be a favorite for either of us, but we can at least appreciate its place in the comedy landscape.If you're a die-hard fan of this movie, a curious soul who's never seen it, or just want to hear a conversation about a beloved film that didn't quite land for everyone, then this is the episode for you. We're blending our lukewarm reviews with our usual casual banter, making this a candid and funny conclusion to our month of racing films. If you ain't first, you're last... and maybe this movie is closer to the latter for us.This episode VIDEO is live on YouTube AND Spotify!Follow us on Instagram and TikTok to get ep sneak peaks and find out what's coming next. DM us what you want to hear about next or email us at wedrinkandwewatchthingspod@gmail.com.