Podcasts about Suno

Niko Moon sits down with Bobby to talk about his love of learning, why he believes we’re living through one of the most interesting times in history and how artificial intelligence could reshape country music. He shares his experience experimenting with tools like ChatGPT and Suno, whether A.I.-generated songs can ever replace human creativity and why live performances will always matter. Niko also opens up about making his new album at home, removing traditional industry gatekeepers and returning to his musical roots. Plus, he gets candid about mental health, unhealthy ways he once dealt with anxiety and the “worry chair” technique that helps him quiet the fears inside his head. Watch The BobbyCast on Netflix! Follow on Instagram: @TheBobbyCast Follow on TikTok: @TheBobbyCastSee omnystudio.com/listener for privacy information.

And The Update Is…a weekly beat on the industry . Hosted on Acast. See acast.com/privacy for more information.

AI is making creative production faster while increasing the value of human craft, imperfection, and hands-on creative control.Drew and Rory start with Netflix's 300 AI-assisted programs and somehow end up defending Blockbuster, boxy cars, greasy roommates, and the radical act of making creative work harder on purpose. Between the usual intellectual potholes, they uncover why invisible AI succeeds, why perfect outputs are becoming exhausting, and why human-made work may become the premium signal.Covered in this episode:Netflix generative AI workflows span concept development, pre-visualization, visual effects, post-production, and release. Suno, Udio, Strudel, Foley artistry, AI music licensing, Runway visual storytelling, Claude, ChatGPT, Figma shaders, Photoshop retouching, creative consistency, nostalgic design, imperfect aesthetics, and hybrid human-AI production define the broader creative shift.---⏱️ Fast Hour00:00 Why are guests returning to Fast Hours?03:45 Why does summer trigger nostalgia?10:49 How is Netflix using generative AI?20:39 Could Blockbuster have become Netflix?24:04 What AI tools has Netflix open-sourced?28:36 What did the Suno breach reveal?32:21 Should AI be used to make music?43:31 Breaking down Runway's lamp film—hy does it work?51:43 How many movie story arcs exist?53:32 Does AI increase the value of human craft?57:53 Why are creators rejecting AI perfection?01:06:16 Why is nostalgic design returning?01:17:09 Why do simple stories feel better?01:23:09 How do AI projects maintain consistency?01:25:43 Who should Fast Hours interview next?#GenerativeAI #AIFilmmaking #AIMusic #CreativeProcess #FastHours

It's a new episode of the Terrible Terror Podcast and have I got one for you this week. We're looking at The Texas Chainsaw Massacre: The Next Generation! What the hell are they trying do with the lore? Is that really the best answer you can give to save your life? What the hell is a prostrate? Find out the answers to all this and more in an all new Terrible Terror Podcast!Terrible Terror:Facebook: https://facebook.com/terriblet...Instagram: https://instagram.com/terrible...Twitter: https://twitter.com/T_T_Podcas...YouTube: https://www.youtube.com/@terribleterrorpodcastTwitch: https://twitch.tv/terribleterr...Suno: https://suno.com/@terribleterrorsDiscord: https://discord.gg/vvKuCVNYCheck out the Terrible Terror Store On TeePublic! The new Corn Tree design is now available:http://tee.pub/lic/e7et5lQSSbwCheck out Dubby and use TerribeTerrors for 10% off your next order: https://www.dubby.gg/

El 2 de abril de 1982, las fuerzas argentinas ejecutaron la Operación Rosario, una compleja maniobra anfibia destinada a recuperar la soberanía sobre las Islas Malvinas. Analizamos los planes, la logística y el despliegue de comandos y buzos tácticos en una operación que buscaba ser rápida, quirúrgica y, sobre todo, incruenta. Desde la planificación secreta en los meses previos hasta el desembarco final en Puerto Argentino, exploramos cómo el mando argentino gestionó la tensión diplomática y militar, enfrentándose al desafío de un terreno hostil y a la necesidad de evitar bajas civiles en un conflicto que cambiaría el Atlántico Sur para siempre. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ ⭐️ ¿Qué es la Edición Especial de Verano? Se trata de reediciones revisadas de episodios relevantes de nuestro arsenal, para que no pases el verano sin tu ración de Historia Bélica. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

It's public beta season, which means David and Nilay have been upgrading some devices this week. We talk through the good and bad of our early experiences with Siri AI, and what it'll take for next-gen Siri to be a hit. After that, we discuss the real reason Apple decided to sue OpenAI over trade secrets, OpenAI's forthcoming smart speaker, the new Pixel colors, our emoji strategies, Brendan Carr, and much more. Further reading: Apple's public betas for iOS 27 and more are out now  Siri AI makes the Apple Watch finally feel like a wrist computer  Siri AI is already changing how I use my iPhone  The macOS 27 public beta is worth it just for the Liquid Glass tweaks  Apple sues OpenAI for allegedly stealing hardware secrets  Suno snatched millions of songs from YouTube, Genius, and Deezer Sam Altman didn't need another lawsuit  The 6 wildest claims in Apple's lawsuit against OpenAI  Another turn in the Apple v. OpenAI dispute.  OpenAI has a new statement about Apple's lawsuit.  OnePlus officially gives up on the US and Europe OnePlus is dead in the US. Did it ever have a chance? Samsung shows off ‘brand new shape' for Z Fold 8 in Spider-Man teaser OpenAI may announce a ChatGPT smart speaker this year  OpenAI finally launches hardware… for Codex Pixel Watch 5 leak shows off four different finishes  The Pixel colors might rule this year  The PS6 sure sounds like a handheld  Brendan Carr plans to let broadcast giants dominate the airwaves X admits its broken algorithm made the site feel like a ‘battleground'  States make last-ditch effort to stop the Paramount ‘media behemoth'  Paramount lead trial counsel on state AG suit: This merger is pro-competitive The new cracking face emoji might be an all-timer.  Google's Demis Hassabis says it's time for a global AI watchdog — led by the US  Google and Epic give up fighting — third-party Android app stores are coming next week Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Intro 00:02:00 Apple Betas and New Siri 00:08:00 Gemini Car Assistant Fails 00:15:00 Apple Sues OpenAI 00:18:00 Trade Secret Law Explained 00:28:00 Settlement or Long Fight 00:35:00 OpenAI Home Device Doubts 00:42:00 Smartphone Platform Lessons 00:50:00 Pixel Colors and Naming 00:52:00 OnePlus Retreat Explained 00:55:00 Carriers and iPhone Lock In 01:05:00 Brendan Carr Bribery Scandal 01:14:00 Emoji Lightning Round 01:18:00 X Algorithm Rediscovery 01:23:00 Foothills Of Singularity 01:29:00 Paramount Merger Spin 01:33:00 Wrap And Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Podcasting 2.0 July 17th 2026 Episode 265 - "Jihobbyist" Slop or Not! Lightning or Frightening! Adam and Dave go deep with the Boardroom after a 2 week break ShowNotes ------------------------------------------------------------------------------------------------------------------------------------- 00 - PODPING GOSSIP-WRITER → PRODUCTION + INDEX PLUMBING ------------------------------------------------------------------------------------------------------------------------------------- 01 - THE OPEN INDEX TURNS UP INSIDE AN AI SCRAPER (SUNO) @js flagged it: a hack at Suno reveals the AI music generator used PodcastIndex to do its targeting — "with the help of an online tool called PodcastIndex, Suno identified 420,000 different podcasts that had at least five 30-minute episodes and sought to download roughly 1 million hours of podcasts." Board question: the Index exists to be "free, for any use" — and here "any use" is an AI company bulk-harvesting a million hours to train on. Is that the deal working as designed, or does anything change? A live test of the open-index ethos. Ties straight to the on-device/namespace fight below and to the spam/AI-slop lane — the same extraction pressure from three directions. Hack reveals Suno scraped via PodcastIndex (404 Media) ------------------------------------------------------------------------------------------------------------------------------------- 02 - ON-DEVICE AI vs NAMESPACE TAGS — "DIDN'T YOU INVENT THE NAMESPACE?" Your own post set it off: Adam — Apple in talks to run a startup's compressed AI models on-device (PrisMML) — "More fodder for on-device features vs new tags." The core board fight of the week.

AI news: Moonshot AI's Kimi K3 is a big AI model and Moonshot's early benchmarks put it surprisingly close to GPT-5.6 Sol and Claude Fable 5. And… Kevin's Opus 5 SCOOP!! Also: OpenAI's reported screenless AI speaker, a Seedance 2.5 preview, the Suno hack, robot fights and AI-built games in Unreal Engine and Blender. On today's AI For Humans, Kevin Pereira and Gavin Purcell unpack Kimi K3's benchmarks, pricing, Flappy Bird and Minecraft tests, and giant-model economics. Then, Kevin DRIPS Opus 5 alpha and says it's VERY good and blows the doors off of Fable but it's… slow.  Plus Demis Hassabis's AI-governance proposal, AI 2040's Plan A, OpenAI's reported screenless speaker, Codex Keyboard, a Seedance 2.5 preview, the alleged sources exposed by the Suno hack, spectacular robot violence, polite office-robot dabbing, and what happens when GPT-5.6 Sol meets Unreal Engine, Blender and two hosts with free time. THE AI FRONTIER IS MOVING AGAIN—AND CHINA IS RIGHT THERE WITH IT. // Show Links // AI FOR HUMANS Survey https://aiforhumans.beehiiv.com/forms/b7c77287-2cfd-4b64-a278-eb1a2ccb5744 Official Moonshot AI Kimi K3 launch video https://x.com/Kimi_Moonshot/status/2077521842080817296 Official Kimi K3 launch and benchmark thread https://x.com/Kimi_Moonshot/status/2077830229968683203 Official Kimi K3 technical launch article https://kimi.com/blog/kimi-k3 Kimi K3 head-to-head with GPT-5.6 Sol https://x.com/chetaslua/status/2077701096924229744 Kimi K3 Flappy Bird test https://x.com/jun_song/status/2077396996865003739 Demis Hassabis on a new framework for AI governance https://x.com/demishassabis/status/2076957440109625718 AI 2040: Plan A https://ai-2040.com/ Bloomberg's report on OpenAI's first device https://www.bloomberg.com/news/articles/2026-07-14/openai-s-first-device-will-be-moveable-screenless-speaker-built-as-ai-companion OpenAI Developers' Codex Keyboard post https://x.com/OpenAIDevs/status/2077425991790870644 BytePlus Seedance 2.5 World Cup preview https://x.com/BytePlusGlobal/status/2077321849806234080 Variety's report on the Suno hack and training data https://variety.com/2026/music/news/suno-hack-youtube-music-deezer-genius-data-trained-ai-music-1236811772/ Ultimate Robot Knockout Legend (UKRL) Fight https://x.com/ErenChenAI/status/2077750358302921029 Soft floating robot demo https://x.com/clankrmedia/status/2076593164744376707 Two NEO robots talk to each other—and then one dabs https://x.com/BerntBornich/status/2077749438630805648 GPT-5.6 Sol plus Unreal Engine experiment https://x.com/NomadsVagabonds/status/2077577815684202960 Gavin's first GPT-5.6 Sol plus Blender attempt https://x.com/gavinpurcell/status/2076736788320927925 Kevin's Find The Cursor Game: CURSED https://us-lax-8710957c.colyseus.cloud/ Gavin's Fig + Moss Watch autonomous studio https://x.com/gavinpurcell/status/2077155825274229122 Fig's stand-up set https://x.com/gavinpurcell/status/2076382092842475948   // Join the AI For Humans community // Join the AI For Humans Discord https://discord.gg/muD2TYgC8f Support AI For Humans on Patreon https://www.patreon.com/AIForHumansShow Subscribe to the AI For Humans newsletter https://aiforhumans.beehiiv.com/ Follow AI For Humans on X: @AIForHumansShow https://x.com/AIForHumansShow Follow AI For Humans on TikTok: @aiforhumansshow https://www.tiktok.com/@aiforhumansshow Speaking and booking https://www.aiforhumans.show/  

The Cybercrime Magazine Podcast brings you daily cybercrime news on WCYB Digital Radio, the first and only 7x24x365 internet radio station devoted to cybersecurity. Stay updated on the latest cyberattacks, hacks, data breaches, and more with our host. Don't miss an episode, airing every half-hour on WCYB Digital Radio and daily on our podcast. Listen to today's news at https://soundcloud.com/cybercrimemagazine/sets/cybercrime-daily-news. Brought to you by our Partner, Evolution Equity Partners, an international venture capital investor partnering with exceptional entrepreneurs to develop market leading cyber-security and enterprise software companies. Learn more at https://evolutionequity.com

HỒI SÁU MƯƠIBàng Phước âm mưu giả Mạnh Thị,Hạng thị lập kế trá Vương phi.Thông tin:Tái Sanh Duyên - tiểu thuyết diễm tình dã sử Trung Quốc.Tác giả: Trần Đoan Sinh & Lương Đức Dụng.Dịch giả Mộng Bình SơnNguồn nội dung: Việt Nam Thư Quán (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://sl1nk.com/mo3nlw6⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠)Âm nhạc: Composed by Suno.comDiễn đọc: Đông QuânSupport the Channel,1. VÍ MOMO (0903927130)2. “Buy me A Coffee”(https://buymeacoffee.com/mcdongquan)

The Hollow9ine Network returns with a special and experimental new program...Last week was a free-wheeling, unhinged rampage...this week is the drive back...to reality? Maybe...but definitely back home to pick-up where things left off...enjoy some unexpected free-style rapping, some unavoidable moments of road rage, and the ongoing search for the inner peace that comes from recovery...Also, enjoy a Suno redux of an old, previously unreleased Hollow9ine early millennium foray into the punk-inspired rock of the early 2000s, "She Got Me (All Wrong)"...From 2021 - 2023, Podcaster and Content Creator Dave "The Klone" Maresca has been missing in action - in a deep and complicated recovery from a traumatic life experience......after spending nearly 21 months navigating CPTSD and rebuilding his life in the aftermath of an abusive relationship - one that has left him in social and financial ruin and with a future of uncertainty, marred by constant anxiety and depression, his healing process has led to the creation of this living journal, as a means of chronicling his experiences......this program is created in hopes that the life lessons Dave is discovering can be a beacon to those who find themselves similarly lost at sea, in search of a light in the darkness...in search of the hope he, himself, has been searching for...Warning: This program contains true-life recollections of an actual person, that may involve content that some listeners may find disturbing or triggering. If you or someone you know is in need of professional medical and/or mental health assistance, The Hollow9ine Network implores you to seek out such assistance, and has provided links to resources that may be helpful here:CDC Mental Health Tools and Resources Index: https://www.cdc.gov/mentalhealth/tools-resources/index.htmNational Suicide Suicide Prevention Lifeline: 988Disclaimer: Dave "The Klone" Maresca is not a trained medical professional, psychologist, psychiatrist, or a licensed professional trained in providing therapeutic mental health care.  This podcast is an account of his life experiences and meant to be just that.  Any advice or suggestions made in the extemporaneous dialogue of the podcast is not intended to be medical or legal advice.  If such advice is what you are seeking, you are encouraged to seek out the services of a licensed professional.  The Hollow9ine Network and Dave Maresca assume no liability or responsibility for the information provided in these episodes. Support us on RedBubble:https://www.redbubble.com/people/Hollow9ine/shop?asc=u Follow us at... Facebook: https://www.facebook.com/Hollow9ineNetwork/ Twitter: @Hollow9ineCast Instagram: @the_hollow9ine_network YouTube: https://www.youtube.com/channel/UCuwT8IxWRRI9I8hu2difvhg Email: hollow9inepodcast@gmail.comRead Dave's Blog on Medium: https://medium.com/@davetheklone

Vital Signals introduced a $399 smart ring that is meant to replace Blood Pressure Cuffs without a subscription fee attached, and 1Password says it is letting Claude tap into its password vault and 2-factor codes safely.Starring Jason Howell and Huyen Tue DaoShow notes found here. Hosted on Acast. See acast.com/privacy for more information.

Presenting... The Steam Rollers Adventure Podcast,     Season 4: "The Curse of the Glass Witch"   Episode 323, Chapter 42 "Veiled Assault" Heard on our Patreon 3 weeks early! COMMERCIAL FREE! with Art! Show Notes for the Episode... The Storycrafter introduces MAT1553, "Matisse," our Art Director--the Steampunk A.I. Copperheart responsible for generating art for the show covers (as seen above). Oliver Glass, Jax and Pinny encounter a trio of Green Veil witches seemingly focused on keeping Oliver and company from entering Peace. Production... Executive Producer:            George Pecenica Producer:            Sholom West Patreon Sponsor:             Michael Cast...Storycrafter - Mike Rigg           Robbie, Boris, Margie, and Ben - Themselves     George Pecenica as Percy Alexander     Ray Volk as Martin Barnett     Jenn Avril as Connie Ross     Rupert Faullhurst as Nigel Osbert Wintermann     Dave Murtagh as Oliver Glass     and introducing Robin as Holly the Faerie Witch and Blake Azur as Jasper Remington Music Credits...          "Undaunted," "Anguish," "The Parting" by Kevin MacLeod (Incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ . Additional music: "The Steam Rollers Adventure Podcast Theme" performed by Floof* , "A Jaunty Day," "Robut Reviews," "Build into Action for the Heroes," "Dark Chase," "Green Veil Witches," "Traveling at Night" by RST Musek (* Floof is a fictional band. Find out more by following Whiskey Tango Furball on YouTube @WTFurball. RST Musek lyrics written by Michael J Rigg, music generated using SUNO.)

Cornils. Kristoffer www.deutschlandfunk.de, Corso

HỒI NĂM MƯƠI CHÍNMở ân khoa, Thành Tôn chọn chủ khoa,Vâng mạng lịnh, Xuân Yến nhìn Tố Hoa.Thông tin:Tái Sanh Duyên - tiểu thuyết diễm tình dã sử Trung Quốc.Tác giả: Trần Đoan Sinh & Lương Đức Dụng.Dịch giả Mộng Bình SơnNguồn nội dung: Việt Nam Thư Quán (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://sl1nk.com/mo3nlw6⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠)Âm nhạc: Composed by Suno.comDiễn đọc: Đông QuânSupport the Channel,1. VÍ MOMO (0903927130)2. “Buy me A Coffee”(https://buymeacoffee.com/mcdongquan)

Mucho antes de las grandes batallas de desgaste que definirían el Frente del Este, el saliente de Yelnia se convirtió en una auténtica picadora de carne. Analizamos junto a Sergio Murata y Esaú Rodríguez cómo el Ejército Rojo logró frenar el avance imparable de la Wehrmacht en el verano de 1941. Un relato sobre la desesperación en las trincheras, el bautismo de fuego de las primeras divisiones de la Guardia soviética y el colapso de la doctrina de la Blitzkrieg frente a la tenacidad de las tropas de Stalin. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ ⭐️ ¿Qué es la Edición Especial de Verano? Se trata de reediciones revisadas de episodios relevantes de nuestro arsenal, para que no pases el verano sin tu ración de Historia Bélica. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

AI-generated music is suddenly everywhere. On social media, music streaming services, and elsewhere, stuff made on Suno is becoming unavoidable. The Verge's Terrence O'Brien joins David to talk about where Suno came from, whether it can truly change the way we create and consume music, and how we can and should respond to AI music. We also have some thoughts on whether these songs might someday be bangers. Further reading: X admits its broken algorithm made the site feel like a ‘battleground' | The Verge The Pixel colors might rule this year | The Verge Pixel Watch 5 leak shows off four different finishes | The Verge New York becomes the first state to enact a data center moratorium | The Verge Suno is a music copyright nightmare Suno leans into customization with v5.5 Nobody wants to tell me why they only listen to their own Suno slop Suno's upgraded AI music generator is technically impressive, but still soulless Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Brad Lea joins the Try That in a Small Town podcast and absolutely unloads. From building Lightspeed and the Dropping Bombs brand to calling out weak mindsets, traditional gender roles, AI-written songs, government lies, moon landings, flat earth rabbit holes, COVID vaccines, and “dipshitty of the week” — nothing is off limits.Hear how a high school dropout built a training empire, why mindset, skill set, and habits are the real cheat codes, why most people quietly choose to stay broke, and how social media, politics, and conspiracies all tie back to belief and personal responsibility. This one is part masterclass, part bar fight.3:34 “I'm not an influencer” – building real businesses vs being a personality4:12 Inventing Lightspeed: from broke sales trainer to training software pioneer7:00 Eight years to “overnight success” and almost missing payroll9:01 Mission: getting knowledge from people who have it to people who need it10:01 Aladoxophobia – fear of other people's opinions13:40 From high school dropout to employing PhDs and MBAs15:10 Commission, mindset, skills, habits: Brad's simple formula for getting rich18:24 Content machine: cameras, social media, and “you are the content”21:10 Helping broke people vs rich people and why most never change23:33 Tough love: self-worth, appearance, and being judged in real life28:16 Choices, free will, and why most people pick misery without realizing it31:06 College, AI, and why relationships matter more than degrees37:19 “The right woman wants a king” – Brad's take on marriage and money41:17 Would he let his wife work for another man? Lines, loyalty, and control44:32 Ambition, freeloaders, and “who raised your ass?”52:01 Perseverance in music: staying in line until the song finally gets cut57:27 Transgender sports, common sense, and cultural insanity1:04:08 AI music, Suno, fake artists, and how writers are really using AI1:10:03 Borders, wasteful spending, and why “we the people” have no eject button1:18:04 Aliens, disclosure, and weird Florida mall footage1:21:18 Did we land on the moon? Brad's problems with the footage and story1:29:03 Scripture, luminaries, and why some people flirt with flat earth1:34:34 God, intelligent design, and what we actually know1:35:34 Dipshitty of the Week: waiters, nose pickers, left‑lane campers, and mashed potatoes guys1:43:48 Willie's weed drink, alcohol, and getting older1:47:01 COVID, vaccines, pressure in entertainment, and not trusting the government1:53:36 Wrap‑up: bombs dropped, minds blown, and thanks to Brad LeaFollow Brad:www.bradlea.comwww.droppingbombs.com______________________________________________________________________________________________SPONSORS: The Try That in a Small Town Podcast is powered by e|spaces!Redefining Coworking - Exceptional Office Space for Every BusinessBook a tour today at espaces.comFrom the Patriot Mobile studios:Don't get fooled by other cellular providers pretending to share your values or have the same coverage. They don't and they can't!Go to PATRIOTMOBILE.COM/SMALLTOWN or call 972-PATRIOTRight now, get a FREE MONTH when you use the offer code SMALLTOWN.Original Brands - Our original sponsor since the beginning!!Original brands is starting a new era and American domestic premium beer, American made, American owned, Original glory.Join the movement at www.drinkoriginalbrands.comPeacemaker Coffee CompanyFounded by retired police officer/chief Chris Morris, Peacemaker delivers clean, low-acidity coffee while supporting police, firefighters, EMS, military, veterans, teachers, dispatchers, and medical personnel through donations and programs.www.trythatinasmalltowncoffee.com________________________________________________________________________________________________Follow/Rate/Share at www.trythatinasmalltown.com -For advertising inquiries, email info@trythatinasmalltown.comProduced by Jim McCarthy and www.ItsYourShow.coSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

A24 announced a $75 million research partnership with Google DeepMind and framed it as R&D for production tools, not a content deal. Nobody cared about the distinction. Chris, Daniel, and James Blevins spend the first half of this Rough Cut on why that announcement landed like a betrayal anyway, then pull the same thread through the Paramount Skydance and Warner Bros. Discovery merger, Mark Ruffalo's New York Times op-ed on quiet industry retaliation, and what it means that four studios now control what used to take six. From there the panel turns to Christopher Nolan's press tour for The Odyssey and the practical-versus-VFX marketing dance that VFX artists roll their eyes at every single time it resurfaces. They close with a Monstrous Moonshine state of the union, walking through the June July shoot and a quick, lighthearted aside on why the show still uses AI tools like Suno for its own theme song. Mentioned this episode: A24, Google DeepMind Paramount Skydance, Warner Bros. Discovery, Mark Ruffalo, Matt Stoller Christopher Nolan, The Odyssey, D-Neg, Weta Workshop Monstrous Moonshine June July Suno Special thanks to our sponsor: Center Grid Virtual Studio: https://cgvirtualstudio.com/

Episode 435 of The VentureFizz Podcast features Kojo Osei, Partner at Matrix. The venture capital industry originated back in 1946 in the Boston area, when The American Research and Development Corporation was founded by MIT president Karl Compton and Harvard professor Georges Doriot. From that point, an industry was born, and firms were created, but very few have had the lasting impact and track record as Matrix, one of the OG firms that helped institutionalize this industry. The firm has a tremendous track record through the years making investments in legendary companies like Apple and FedEx… plus category creators like HubSpot, Zendesk, and Oculus… or current investments like Canva, Suno, GOAT, and Flock Safety. Matrix is investing out of its 12th fund, an $800M fund for seed and Series A investments, and the firm continues to have a strong presence on both coasts. Kojo is a Stanford grad, who was the Head of Product at Sirona Medical, the AI operating system for radiologists, before becoming a VC. Now based in NYC, Kojo has been an investor with Matrix for over five years. Some areas of interest these days for investments include agent-driven commerce, how the software infrastructure is getting rebuilt for agents, and model application integrated companies. His investments include companies like Channel3, BoldVoice, Ampersand, and LM Studios. Chapters: 00:00 Introducing Kojo Osei, Partner at Matrix 03:24 What is Agent Driven Commerce 09:45 Koji's background & Early Career 13:20 Joining Matrix as a VC 14:37 Advice for Aspiring Venture Capitalists 17:05 The First Year in Venture Capital 20:26 Details about Matrix's 25:01 Investment Areas of Interest for Kojo 27:48 The Art of the Cold Email to a VC 34:17 Exploring the 'Why Now' Philosophy 37:59 AI: Current State and Predictions 42:06 Common Mistakes Founders Make 44:23 GTM for Developer Products 48:11 Leveraging AI in Daily Workflow 49:23 Kojo's Recommendation & Personal Interests Podcast Sponsor: This podcast is brought to you by one of the strongest longtime supporters of the local startup ecosystem, Silicon Valley Bank, a division of First Citizens Bank. With more than 1,500 bankers and relationship advisors and $44B in loans as of Q4 2025 – SVB delivers expert guidance, specialized products and a team that knows the innovation economy inside and out. Learn more at SVB.com.

Considerado el Napoleón Rojo por sus enemigos, el General Giap fue la mente maestra detrás de la derrota francesa en Dien Bien Phu y la posterior retirada estadounidense de Vietnam. Analizamos la trayectoria de un campesino que se convirtió en el estratega más temido de Asia. Desde sus inicios en la lucha anticolonial hasta su papel en el Politburó, exploramos cómo su paciencia, su capacidad logística y su implacable visión de la guerra de guerrillas transformaron un movimiento campesino en una fuerza capaz de desafiar a las grandes potencias mundiales. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ ⭐️ ¿Qué es la Edición Especial de Verano? Se trata de reediciones revisadas de episodios relevantes de nuestro arsenal, para que no pases el verano sin tu ración de Historia Bélica. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

It's another minisode and I'm talking about the movie for next week and Evil Dead Burn!Terrible Terror:Facebook: https://facebook.com/terriblet...Instagram: https://instagram.com/terrible...Twitter: https://twitter.com/T_T_Podcas...YouTube: https://www.youtube.com/@terribleterrorpodcastTwitch: https://twitch.tv/terribleterr...Suno: https://suno.com/@terribleterrorsDiscord: https://discord.gg/vvKuCVNYCheck out the Terrible Terror Store On TeePublic! The new Corn Tree design is now available:http://tee.pub/lic/e7et5lQSSbwCheck out Dubby and use TerribeTerrors for 10% off your next order: https://www.dubby.gg/

Pre-bolusing is one of those things people learn years later than they should have. The whole idea fits in a word: timing. Give the insulin a head start on the food, and the two of them meet in the middle instead of fighting each other the whole way down. It costs nothing. Nobody's selling it. It's just a small change in when — not more insulin, not a new device — and for a lot of us it was the thing that flattened everything out. This song is that lesson set to a beat. Hear more at juiceboxpodcast.com/jukebox The words are drawn directly from the podcast — the management series, the interviews, and years of conversations with this community. I worked with Claude, an AI assistant, to shape those ideas into lyrics, then directed the music, voices, and arrangement myself before having it performed by Suno, an AI music tool. The AI performs it, but the podcast wrote it. If you're new to this, you don't have to get it perfect on day one. Start small, watch which way the arrow's pointing, and let each meal teach you a little more. Nobody hands you this stuff up front, so consider it handed to you now. There are people out here who've been where you are and who have your back. Miss Early They call me Miss Early, I'm ahead of the plate I done did the math before you even said grace Twenty little minutes, that's the head-start habit Food move fast, so I beat it like a rabbit Insulin's a slow jam, dinner is a sprint If you send 'em out together, baby, take the hint Full lyrics at link below. Lyrics drawn from Juicebox Podcast episodes, shaped with Claude Music, voices, and arrangement directed by Scott Benner Performed by Suno Disclaimer - Nothing you hear on the Juicebox Podcast or read on Arden's Day is intended as medical advice. You should always consult a physician before making changes to your health plan.

Mucho antes de que el escándalo estallara en los medios, Estados Unidos perseguía dos políticas exteriores contradictorias: una pública, que negaba cualquier trato con terroristas, y otra secreta, que enviaba misiles a Irán para liberar rehenes y financiar a la contra nicaragüense. Desmontamos el entramado de la 'Empresa', el grupo de presión y logística liderado por Oliver North que operó al margen del Congreso bajo el amparo de la administración Reagan. Un relato sobre trituradoras de documentos, cuentas bancarias en Suiza y una red global de tráfico de armas que puso en jaque la credibilidad de la Casa Blanca. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ ⭐️ ¿Qué es la Edición Especial de Verano? Se trata de reediciones revisadas de episodios relevantes de nuestro arsenal, para que no pases el verano sin tu ración de Historia Bélica. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Agradece a este podcast tantas horas de entretenimiento y disfruta de episodios exclusivos como éste. ¡Apóyale en iVoox! El 1968 fue un año aciago para la navegación submarina. Tras analizar las tragedias previas, hoy nos centramos en el USS Scorpion, el último de la lista. Un buque que, pese a su modernidad, sucumbió a una serie de fallos y circunstancias que aún hoy generan debate entre expertos y veteranos. Un episodio de reflexión sobre la seguridad, el riesgo inherente de la guerra submarina y el legado de quienes perdieron la vida en el cumplimiento del deber. Te lo cuenta Antonio G. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Vision Cast kicks off the Summer Song and Dance Festival with live vocal performances, original music, and one of the sweetest family updates of the year. Co-hosted by Salvis and Rita with JC, Donald, Katie, and Stacey James on the panel — plus a pre-recorded drop-in from Preston who joins the show later on. The night opens with a soulful R&B-style birthday serenade for Katie, setting the celebration tone for the rest of the show. Rita then takes the virtual stage with beautiful, impromptu live renditions of Selena Quintanilla's "Como La Flor" and the timeless "La Bamba" — a heartfelt tribute landing the same week the Latin music world is buzzing over A.B. Quintanilla's response to the Ángela Aguilar Como La Flor cover controversy. Stacey debuts three original instrumental pieces she made in Suno AI — the sun-soaked "Tropical Sun," the mellow "Sun on the Cedar," and a first sneak peek of her upcoming LGBTQ+ music project "Rainbow Love." It's a perfect fit for the post-Pride July Accountability moment and part of Suno's massive 2026 wave (2 million paid subscribers and the brand-new Soccer Anthem generator released just this week). Then comes the biggest news of the night: Stacey shares that baby Noah has officially graduated from the NICU and is home with the family, perfectly timed with this week's viral #NICUGraduate wave celebrating NICU staff and grad babies across the country. Donald is bringing the holiday cheer to summer with a preview of his feature-length Christmas in July music specials on Super Hit Mix Radio — riding the same "summer revenue playbook" internet radio trend that has stations like RadioU flipping their format to all-holiday this week. Preston sends a warm hello and update via a pre-recorded message before jumping on the show later in the evening to catch up with the crew, and JC shares his excitement for an upcoming Puerto Rico trip before heading out early — expect coquí, salsa, and street food stories in a future episode.The crew rounds out the evening with a riff on how Suno AI, VoiceOver-friendly music tools, and independent internet radio are opening doors for blind creators to release polished tracks and full stations without a big-studio setup, and closes the way only Vision Cast can: with the legendary reminder that "Doodles spill the milk!"Keep technology alive, let your talent shine.Recorded 2026-07-08. Hosted by Salvis and Rita on the VisionCast Network.

We've been running a bit of an Agent Cloud series surveying all the top inference/compute/cloud providers, from Databricks to Daytona to Railway and, even further back, E2B, but we're excited to conclude this series returning to Modal, which has just raised a monster $355M Series C.The cloud was built for developers. But agents are now changing that.The old infra stack was designed for a human who could read docs, reason through YAML, and understand dashboards to figure out what they need when something broke. While this was painful for developers, it worked since they could fill in missing context in their heads.However, agents don't have that luxury. Now in this new era of agents, everything has to be tighter.They need a place to write code, run it, inspect the output, change the environment, debug failures, and try again. Fast iteration and feedback loops with all the necessary context are crucial for agents to operate properly. Furthermore, sandboxes are a clear representation of this shift as agents can easily spin up isolated environments. This programmatic infra even extends to research:Two years ago, we were one of the first to cover Modal with CEO Erik Bernhardsson and Alessio designed our favorite LS thumbnail of all time:At the time, Modal was just a teeny little company with a $17M Series A.Today, fresh off their $355M Series C, Modal is one of the clearest examples of the agent cloud future being built in real time: a cloud platform moving past traditional web app assumptions toward the workloads AI actually creates such as elastic inference, sandboxes, GPU burst, post-training, background agents, and infrastructure that agents themselves can operate.In this episode, Modal CTO Akshat Bubna joins swyx and Vibhu to unpack why AI applications don't fit traditional cloud assumptions, why Kubernetes was never designed for bursty compute-heavy workloads, and why Modal is now shifting from developer experience to agent experience.We go deep on Modal's AI infra stack: serverless functions, decorator-based infrastructure, elastic inference for custom models, GPU snapshotting, DeFlash, speculative decoding, Auto Endpoints, sandboxes, persistent storage, networked containers, private IPv6, RDMA, multi-node training, and Modal's capacity pool across 17 cloud providers. Akshat also explains why RL rollouts can require 100,000 sandboxes, why production agents need hard guardrails, why observability may matter more than reading code, and why AI has made infrastructure exciting again.We discuss:* Why Kubernetes wasn't built for bursty AI workloads* How Modal started as a better runtime before becoming an AI cloud* Why Modal added GPUs before ChatGPT* The shift from developer experience to agent experience* Why observability matters when agents are writing the code* Elastic inference for custom models across audio, video, robotics, and comp bio* GPU snapshotting, cold starts, and why inference workloads are so bursty* Why RL rollouts can require 100,000 sandboxes* DeFlash, speculative decoding, and frontier-level inference performance* Auto Endpoints and making optimized inference easier to deploy* What Modal adds beyond vLLM, SGLang, and raw GPU rental* Modal's 17-cloud capacity pool and supercloud strategy* Networked sandboxes, sidecars, private IPv6, and RDMA* Serverless multi-node training for post-training and research workloads* Auto-research, model-guided sweeps, and agents launching GPU experiments* Compute strategy, capacity planning, and batch tiers* Why production agents need specialized sandboxes and hard guardrails* Modal's take on managed agents, CI, Gitpod/Ona, Python, TypeScript, and Modal BenchAkshat Bubna* LinkedIn: https://www.linkedin.com/in/akshat-bubna-188885103* X: https://x.com/akshat_bModal* Website: https://modal.comTimestamps00:00:00 Introduction00:00:39 Modal's origin and why Kubernetes wasn't enough00:04:32 Developer Experience → Agent Experience00:06:21 Modal's AI cloud primitives00:09:14 Sandboxes, agent loops, and proto-Cognition00:12:12 Elastic inference, GPU snapshotting, and 100,000 sandboxes00:15:24 DeFlash, speculative decoding, and Auto Endpoints00:19:59 Production-grade inference beyond raw GPUs00:22:00 Background agents, Ramp Inspect, and the agent lifecycle00:24:08 Modal's 17-cloud supercloud strategy00:26:40 Networked sandboxes, private IPv6, and RDMA00:32:48 Multi-node training, post-training, and auto research00:37:36 Compute strategy, capacity planning, and batch tiers00:40:55 Open models, real-time AI, and production agent infra00:43:06 Hard guardrails, managed agents, and specialized sandboxes00:46:06 Why AI made infrastructure exciting again00:48:30 Model APIs, differentiated products, and agentic video00:51:50 CI, coding-agent infra, SDKs, and Modal Bench00:57:28 Closing ThoughtsTranscriptIntroduction: Modal, Series C, and the Art PartySwyx [00:00:00]: We're here with Akshat, CTO of Modal, together with Vibhu. Congrats on your Series C.Akshat [00:00:10]: Thank you.Swyx [00:00:11]: Your party yesterday was amazing.Akshat [00:00:15]: Yeah.Swyx [00:00:15]: From all the photos and all the swag.Akshat [00:00:17]: We had a bunch of art installations, which was fun, seeing, like, our products on pedestals next to, like, Rodin.Swyx [00:00:25]: Very nice. Very nice. When you started, it was not the GPU inference company. Maybe it was in your mind. Take us back to the origin story.Modal's Origin: A New Runtime Beyond KubernetesAkshat [00:00:39]: I first met Eric, who's the CEO, through an investor. Back then Eric was already thinking about building, a new runtime, and he got there thinking through why are workflow orchestration products so hard to use. It's because you have to run them on Kubernetes. Kubernetes is hard to manage. It's not built for burstiness and, custom images,Swyx [00:01:03]: YeahAkshat [00:01:03]: It has a terrible developer experience.Swyx [00:01:05]: And I'll, I'll interjectAkshat [00:01:06]: YeahSwyx [00:01:07]: For listeners, who are new, we interviewed Eric two years ago, and there's a bit more of the story there from Spotify and all those things.Swyx [00:01:14]: And I came across Eric through Data Council because he did that talk on the serverless container stack that you guys did, which was like, that was my first like, “Okay, I need to take Modal very seriously” moment.Akshat [00:01:26]: Yeah.Swyx [00:01:26]: But it was still very unclear, like, do I need all this for just my data pipelines?Akshat [00:01:33]: Yeah. initially what we were thinking about was if we build a better runtime, it's a very useful primitive in itself. It's There's a lot of things that, get solved by serverless functions, like you can do, ETL stuff, you can do job queues, you can do all this, like, bursty processing, which it turns out every company had needs for. but then we also were thinking about this as like, this is a primitive that we can build a whole collection of products on, which are very verticalized. So perhaps data engineering would've been the first one, but we were thinking about inference. Back then it was more classical inference, like computer vision stuff and running XGBoosts and whatnot. But we added GPUs to the product a year before ChatGPT came out.From Serverless Containers to GPU WorkloadsSwyx [00:02:19]: Nice.Akshat [00:02:19]: We just didn't think it would be that big of a deal.Swyx [00:02:22]: Yeah, just like add A100.Vibhu [00:02:23]: Was there any, like, early key problem that really sparked off why you built it?Akshat [00:02:28]: Yeah. Primarily it's just, none of the tooling that was out there was built for, one, a really great developer experience, and also there's a general trend of, a lot of the workloads that we were seeing were very. I wish there was a better word for it, but compute-heavy. Like, they need, one, like, need a lot more resources, so you need to burst up and down a lot, versus like Kubernetes designed for, like, slow scaling and, more for, like, web server use cases. And also there's just a lot more specialization in, like, what kinds of environments these workloads run in. Like, we had sometimes they need accelerators, sometimes they need different kinds of images, and this is just like a consistent thing that we saw across a lot of companies. That would be the next step.Software-Defined Infrastructure and Decorator-Based DXSwyx [00:03:13]: Yeah. Yeah. Be nice. I don't know how much this factored into the early story, but I wrote a post when I was at Temporal about infrastructure, software-defined infrastructure or something like that.Akshat [00:03:22]: Yeah, the self-provisioningSwyx [00:03:23]: Self-provisioning.Akshat [00:03:24]: Yeah.Swyx [00:03:24]: Yeah. I can't even remember my own post.Swyx [00:03:26]: And then you put me on the landing page.Akshat [00:03:28]: Yeah. We really like, the term and so we stole it.Swyx [00:03:32]: Because you had the insight that everything can just be in decorators co-located with the code, right?Akshat [00:03:37]: Yeah.Swyx [00:03:37]: Was that a big part of the originalAkshat [00:03:39]: YesSwyx [00:03:39]: Story or it was just like a DX layer?Akshat [00:03:41]: That was, really important because we really didn't want people to spend, so much time, writing YAML, and it seemed like you could really condense the surface area of what you're doing, put it in code so you can operate on it just like you operate on other code, and like build stuff that's more expressive and dynamic. and so yeah, that was always a very important part.Swyx [00:04:04]: Then the pushback is this is a DSL.Akshat [00:04:07]: Yeah.Swyx [00:04:07]: It's you're closed source. I am locked into Modal.Akshat [00:04:11]: Yeah. We never really got pushback for that because the nice thing about Modal is you can bring whatever code you have, and sure, the DSL is at the configuration layer for, what hardware you're using, how you're scaling things up, but you still own the code.Akshat [00:04:27]: And that's, that's been an important, part of our story, even as we do inference now.Swyx [00:04:32]: Yeah.Vibhu [00:04:32]: How much of do you think still stays the same today? Like if you were to build something today, DevX very important, but I feel like, a lot of this has been changed with just hook it up to an agent, have Claude Code, have Codex implement a tool. there's very agent native primitives that are different than if I'm doing this myself, right?Developer Experience → Agent ExperienceAkshat [00:04:54]: We've changed our SDK team to think about agent experience instead of, developer experience and we think that the same benefits that apply for DX also apply for AX, which is why would you have an agent read through hundreds of Kubernetes files and like write YAML that's not even typed when it can make a couple of changes in a decorator and it gets this self-provisioning runtime of, being able to see its changes live in action? yeah, it just seems from the customers we talk to, they find Modal is much faster for agents to use versus operating on a different substrate.Swyx [00:05:34]: Yeah, because like you, again, you co-locate the infrastructure requirements to the code that runs it.Akshat [00:05:38]: Yeah.Swyx [00:05:38]: Well, the negative thesis now is that nobody's looking at their code anymore, so there's no point.Akshat [00:05:44]: Yeah, people aren't looking at code. one thing we still see is really important is observability.Swyx [00:05:51]: Yeah.Akshat [00:05:51]: Like how good is your dashboard? And of course, like we have, we push a lot of it to the CLI so the agents can do their own investigation, but you still need humans to go interpret what's going on and, make judgment calls and whatnot. and that's I feel like, Maybe more important now than looking at the code itself.Swyx [00:06:11]: Yes, because like, you can try to treat the code as a black box and then use, see the observable action that comes out of it, and then just prompt a change.What Modal Is For: AI Cloud PrimitivesAkshat [00:06:21]: Yeah.Swyx [00:06:22]: So I think it takes a bit of restraint to not specialize, to say, “I want to ship a new primitive,” and then just be general purpose.Swyx [00:06:31]: People ask you, “What are you for?” You're like, “ I don't know. We can do this, we can do that.”Vibhu [00:06:36]: Well, I'd be curious to see, like, okay, if we were to ask you, like, what is Modal for even at a high level? There's a lot you guys do, sandboxes, GPUs, everything. How do you answer?Akshat [00:06:46]: Modal is a cloud platform that's built for, where we've built the primitives from scratch for AI applications. and right now it covers, inference, training, batch processing, and sandbox workloads.Akshat [00:07:00]: But we're building a lot moreSwyx [00:07:02]: I noticed you didn't say web server, so there is still a role for, like, the always-on large-scale Kubernetes type things.Akshat [00:07:09]: Yeah, absolutely. We're, we're not trying to compete with the renders of the world, because yeah, we think the differentiator for us is the, are the workloads that need specialized compute, need to scale up and down a lot. yeah, they're, they're, they're just shaped differently.Working Alongside Frontier StartupsVibhu [00:07:26]: I think you're building a lot of it alongside the startups, right? They're innovating quite a bit, even in your, like, latest blog post. Like, even in the series C, the customers that you mention here, the cognitions, technical ones, ramps and whatnot, they're, they're innovating with you, right? And that's not something AWS is doing directly with.Akshat [00:07:45]: Yeah, absolutely. I think, this is again classic. We're a small team. We can move really fast. our engineers are working with our customers and figuring it out. Yeah.Swyx [00:07:54]: So my first week at Cognition, I walked in, there was someone wearing a Modal shirt. I was like, “What are you doing here?” They're like, “Yeah, I just. I am embedded inside of Cog.”Akshat [00:08:05]: Yeah, I think that was Peyton. We sent him overSwyx [00:08:07]: Yeah.Akshat [00:08:07]: Because, the latency of communication was too high otherwise.Swyx [00:08:12]: Yeah, distributed node, you have to - you have to place one and collocate.Vibhu [00:08:16]: Yeah.Swyx [00:08:16]: So I had a, I had direct personal experience, right? So I worked on smol developer three years ago. it was inspired by Claude 1. I think you onboarded me at some point, like, just before, and I was like, “Oh, like, I need some bursty compute. Like, I was just gonna try using Modal.” And it was a, it was a pretty pleasant experience. apparently, I showed up in the board meeting, like the analytics.smol developer, Sandboxes, and Proto-CognitionAkshat [00:08:39]: Yeah, you blew up on Hacker News and,Swyx [00:08:41]: YeahAkshat [00:08:41]: We got a big traffic spike. I. I think the way you used smol developer was Modal functions for running stuff, which was. Like, the, that was a good use case. but then, yeah.Swyx [00:08:53]: Yeah. That - So to me, that was proto-cognition.Akshat [00:08:55]: Right.Swyx [00:08:56]: If only I had, like, stuck to it.Swyx [00:08:58]: Like, that was like, if - did you say draw the tech treeAkshat [00:09:00]: AbsolutelySwyx [00:09:00]: You're just like, “Yeah, like, probably this will happen.”Akshat [00:09:02]: Yeah. Like, he was so close. You were just rebuilding upon usSwyx [00:09:04]: I just didn't realize.Akshat [00:09:05]: But the funny story there is at the same time, we were talking to a bunch of customers who needed something like sandboxing.Swyx [00:09:14]: Yeah.Akshat [00:09:14]: This is like twenty-three.Swyx [00:09:15]: Yeah.Akshat [00:09:16]: So we builtSwyx [00:09:17]: You introduced a new API right after that.Akshat [00:09:18]: Yeah.Swyx [00:09:19]: Yes.Akshat [00:09:19]: Like, we built sandboxes in May of twenty-three before anyone was even knew this was gonna be a thing. And the first example we published was, we took smol developerSwyx [00:09:28]: Smol developerAkshat [00:09:28]: And put it in a loop, so the agent can iterate on itself.Swyx [00:09:33]: Loops are hot these days.Vibhu [00:09:34]: It's the looper.Akshat [00:09:34]: Yeah.Vibhu [00:09:35]: Loops in. When was this, twenty-three?Akshat [00:09:38]: Yeah.Vibhu [00:09:39]: A small check.Akshat [00:09:39]: Yeah.Swyx [00:09:39]: It's like twenty-three. so the. the, those for listeners, like, the problem was the models are not built for any of this, right?Swyx [00:09:46]: Like, you're just trying to like. They're not post-training to understand, like, looping and, like, self-correction and tool calling was there, but, like, also not that great.Akshat [00:09:55]: Yeah.Akshat [00:09:55]: I don't remember if you used tool calling in this one, but yeah, the models would just diverge after like ten iterations and not produce anything meaningful.Swyx [00:10:03]: Yeah. But like, then. So okay, like now talking to myself three years ago, the answerVibhu [00:10:08]: Of course they will get betterSwyx [00:10:09]: Collect all the failures, build benchmark, and then collect all the, examples, build the RL environmentAkshat [00:10:15]: RightSwyx [00:10:15]: Sell it for like ten billion dollars to Meta.Swyx [00:10:17]: And then also train a model and then sell that for sixty billion dollars to Elon. And this isAkshat [00:10:23]: Yeah, of courseSwyx [00:10:23]: The funny machine. Like, it's like, it's about the hardware.Akshat [00:10:28]: It's hard to have that inherent conviction that the stuff will get that much better.Swyx [00:10:33]: In retrospect, it's so f*****g obvious.Akshat [00:10:36]: Fair enough.Swyx [00:10:37]: Like, what else were we doing back then? I don't know. anyway. Yeah. So this. That was the start of your sandboxing journey, right? I feel like it didn't blow up until, like, last year.Akshat [00:10:49]: Yeah.Swyx [00:10:50]: So there was like a couple years of quietness.Akshat [00:10:52]: Exactly, yeah. We wereVibhu [00:10:53]: I think very underrated product value. Like, my experience with Modal, Charles, before he had joined Modal, met this guy at a hackathon, and he really insisted we wanted to run some small model, not hosted anywhere, and he's like, “ there's this cool company, Modal. They'll like spin up a GPU sandbox, we can throw it on there. They'll take a Hugging Face link.” And like there's so much value just right there, right? Like instant hosting, spin it up, spin it down. It'll stay cold, but we run the demo a few days later, it'll come back up and like all this stuff in retrospect, like it's still what we needed like today.Akshat [00:11:27]: Yeah, it's still needed today. workload shapes have changed a lot as, we run stuff for people with really massive production scale and, there it's it's not about scaling from zero to one, but it's how do we scale really elastically, from like thousand to fifteen hundred GPUs very quickly in a given region. It's the same shape problem.Elastic Inference, GPU Autoscaling, and Custom ModelsVibhu [00:11:50]: Okay. So you look at, say, Cursor Composer, right?Akshat [00:11:53]: Yeah.Vibhu [00:11:53]: They had a. “We'll do RL on a model every couple hours.” you guys have a whole version of RL inference gym and whatnot.Vibhu [00:12:01]: When you look at workloads like that, you're doing train runs where you need to scale up, scale down every hour thousands of GPUs, right? That's the example for we do need it, right?Akshat [00:12:12]: Yeah. Well, so I'll, I'll take a step back and, maybe talk about like how people use Modal today. because our biggest use case is, elastic inference. And the thing we first found product market fit, with was inference for custom models. So we stayed away from the LLM space, and we were serving companies like Suno for audio, Runway for video, robotics, comp bio companies that train their own model elsewhere. But Modal is the best black box that for deployment, scaling to however many GPUs you need as your traffic pattern changes. And we saw all of them like have a very unpredict- predict- predictable, traffic pattern. it's like diurnal. It's Some days, like the company will do a launch and, they'll need like, way more. And it's not just one model that they deploy. They-- all these companies deploy, lots of different models in different regions, and so the autoscaling problem becomes even harder because then you have to scale within a certain region, and those cycles are offset. So different times you scale up in different regions.Akshat [00:13:20]: So that's like our sortVibhu [00:13:22]: And thatAkshat [00:13:22]: YeahVibhu [00:13:22]: That in and of itself is a huge category. There's a bunch of inference providers which, provide this fireworks, does this as a service together, whatnot, Base10. that's carved into its own niche for language models, at least right now.Akshat [00:13:36]: Yeah. the thing that we have specialized in is the autoscaling aspect.Vibhu [00:13:41]: Yeah.Akshat [00:13:41]: Because we found that it's not universally true that everyone else can autoscale, and we've gone deeper into it on the tech side by, we've incorporated GPU snapshotting into the product so we can take the GPU state, like your torch.compile model, snapshot it, and the next cold start is way faster. And so going back to your question, it's That's why you need a lot of burstiness for inference. But then people also do a lot of demand training, like for RL stuff, your rollouts are bursty, as you said. People also do a lot of batch jobs. So we'll see, a lot of companies, before they have a training run, they'll need thousands of GPUs to run encoding or something like that. And I think those things are much more bursty than. I agree that agents are not that bursty. sandboxes are, except when you're doing RL. RL is justRL, Batch Jobs, and 100,000 SandboxesVibhu [00:14:28]: Or commerceAkshat [00:14:28]: Insanely bursty.Vibhu [00:14:29]: Yeah.Akshat [00:14:30]: Yeah. Like when you're doing, rollouts, you sometimes need a hundred thousand sandboxes in your sandboxes.Vibhu [00:14:37]: Yeah. I'm curious if you've seen early sparks of continual learning. There are some people, like our friends, ngram, recently announced thisAkshat [00:14:45]: YeahVibhu [00:14:45]: They're, they're trying to do training. That also seems like a different workload, right? If you're doing training twenty-four/seven per se, there's a very weird dynamic of how you're using GPUs between people and whatnot, but seems like something you guys would work for.Akshat [00:15:00]: As you said, we're, we're fortunate to work with a number of, customers at the frontier and grab some of our customers. and they are taking the primitives we have, and trying to use them in very interesting ways, like continual learning. It's possible as the stuff gets better, some of that will be part of, our offering as well if, more people need it. but we're, we're just waiting to seeVibhu [00:15:23]: YeahAkshat [00:15:23]: How it shakes out.Vibhu [00:15:24]: Is there a primitive that you added after sandboxing that was the next step in the story?LLM Inference, DeFlash, and Speculative DecodingAkshat [00:15:32]: I guess we've been going much deeper into LLM inferenceVibhu [00:15:35]: YeahAkshat [00:15:35]: Because we realized that some of the advantages we have with like autoscaling, again, especially in different regions and whatnot, are, not present elsewhere. and the place where we had a gap was we weren't, working on the model layer itself. Like we were a black box. And, we realized that, we can get to frontier-level model performance, with, by having great people who work on this. And, we've been open sourcing a lot of our work, in terms of, Recently, we, shared our work on DeFlash, which is a block-based, speculator, and we've open sourced, all of it. So, you can - By using open source DeFlash, you can get the same performance as you would with one of the proprietary providers. And the next thing we're thinking about hereVibhu [00:16:23]: I thought this wasAkshat [00:16:24]: YeahVibhu [00:16:24]: An interesting blog post as well, right? Like, I think in here you make a claim that. Not a claim, just that how effective speculative deco-decoding really just get to.Akshat [00:16:33]: Yeah.Vibhu [00:16:33]: Anything you wanna point out from this around, what people should know?Akshat [00:16:39]: Yeah, absolutely. the high-level summary is, it would help to describe what speculative decoding is.Vibhu [00:16:44]: Yes.Akshat [00:16:44]: I will, yes.Vibhu [00:16:45]: I think, likeAkshat [00:16:46]: YeahVibhu [00:16:46]: So we've covered like Eagle and all thisAkshat [00:16:47]: YeahVibhu [00:16:47]: Like Hydra and all those things, but it was like two years ago.Akshat [00:16:51]: Yeah.Vibhu [00:16:51]: I think it doesn't hurt, right?Akshat [00:16:52]: Yeah. Speculative decoding is you have a smaller model, called a draft model, predict tokens ahead of the bigger model, and then you have the bigger model, verify all of this, all the tokens are predicted. And the reason it's faster is if you're predicting, one token at once, you're bound by memory bandwidth. But if you can batch the verification of, the draft model, then you're much more efficient using compute, and it's faster, and as long as your draft model is producing a lot of tokens that can get accepted, which is called the accept length, you can get a speed up that's, multiple times of, the original model speed. and well, that's what we highlight here. It's Like people talk a lot about we made these kernels faster and whatnot, but improving kernel will only give you like few percentage points of improvement, and, increasing accept length, literally is a multiplicative decreaseVibhu [00:17:47]: Like two to four X.Akshat [00:17:48]: Yeah, exactly.Vibhu [00:17:48]: Without much head-on performance.Akshat [00:17:50]: Yeah. I think it may - you are running a second model, right? So it may be something more expensive in the compute,Vibhu [00:17:57]: I meant quality performanceAkshat [00:17:58]: Probably not by muchVibhu [00:17:58]: But yeah. I thinkAkshat [00:17:59]: So there's no drop in quality performanceVibhu [00:18:01]: YeahAkshat [00:18:01]: Because you're always. You're never accepting a token that the big modelVibhu [00:18:04]: It's strictly betterAkshat [00:18:05]: YeahVibhu [00:18:05]: Or it's same.Akshat [00:18:06]: Exactly.Vibhu [00:18:07]: Right. Yeah.Akshat [00:18:08]: And so we've been working a bunch on DeFlash, which is a block-based speculator. so it's instead of predicting, one token at a time, it's predicting a block. And we've been open sourcing our work with it. The next thing for us here is for helping people train speculators and custom models. it's it's something that traditionally is very forward-deployed engineering driven, support deployed, engineer driven, like you work with customers and help them do that. And our vision for. This is why we launched Auto Endpoints, is we want to make frontier-level performance available to everyone. And so, we mentioned this in the announcement, we teased it. The next thing we're, we're launching is, as you run an auto endpoint, we shadow trafficAuto Endpoints and Frontier-Level PerformanceVibhu [00:18:54]: Do you want to explain what auto endpoints are?Akshat [00:18:57]: Yeah.Vibhu [00:18:57]: I lovely, yeah.Akshat [00:18:58]: Yeah. So, this is, I guess, going back to your Modal is you touch the code, but, sometimes people don't wanna touch the code, and they wanna get started with an endpoint that works and has all the great performance and, scalability that Modal has. So we've made that easier with, a way to create an endpoint from our UI, from the CLI, that has all of our optimizations that we talked about, like the DeFlash stuff already baked in, and there's full transparency. So we give you the code, you can go run it yourself, and if you want, you can eject out into the full Modal experience, which we see as people get sophisticated, they do wanna tweak the models, they wanna, fine-tune stuff. You can still do all of that. It's it's not a black box. And yeah, the next thing, as we teased later in the post, is how do we give you value even beyond this in terms of having your draft models evolve as your data distribution evolves, again, without having to talk to a person and, yeah.Vibhu [00:19:59]: I guess just to understand it directly, you have the GPUs, you have an endpoint that's compatible, you serve open model. If someone was to do this themselves, what's the delta that you guys provide? So you do a lot of open source great work on effective inference. how does it compare to, say, I take the same model, 5.2 FP8, take shelf inference engine, vLLM, SGLang, get compute of similar capacity, similar cost. What's the delta that plugging into something this, like this offers outside of the benefit of, scaling?Production Inference Beyond Raw GPUsAkshat [00:20:34]: It's interesting because we've taken the approach of open sourcing our contributions and upstreaming them. we work closely with the SGLang team. We want the improvements that our team, comes up with to be, there in open source for others to use, even outside of Modal. The benefit to us is we have a team that has significant expertise in terms of if you do have something that is not there, our team can help you get that performance, first. the other thing is with these endpoints, we are way more elastic, as you said, than, anyone else, and you have true scaling to zero. you have true, burstiness, and in practice, that matters a lot more to people than just finding, the GPU and, running Modal code on something.Vibhu [00:21:20]: Yeah. And I will say it's not that straightforward to just. like what I said is easier said than done, right?Akshat [00:21:26]: Yeah.Vibhu [00:21:27]: It's I think still for the average person, still hard to just gut check using different. There's, there's quite a bit of combinations you can make there. the trade-offs aren't really known at face value.Akshat [00:21:40]: Yeah. it's it's not just that. I think it's it's that running production-grade inference is a hard infer problem.Vibhu [00:21:49]: YeahAkshat [00:21:49]: Even if you subtract out the autoscalingVibhu [00:21:50]: YeahAkshat [00:21:51]: Is controlling things like tail latency and, making sure every, request is delivered at least once and whatnot.The Model and Agent LifecycleVibhu [00:22:00]: There's a lot of innovation that you can do here. I think, it's very interesting that you're starting to encroach on, like as you become a full cloud, you're starting to encroach on other people's turf.Vibhu [00:22:09]: What will you not do?Akshat [00:22:13]: Well, we wanna follow our users and, make sure they get like a platform that has everything that works well together. so right now we're focused on the model lifecycle and the agent, lifecycle. so both like going from data prep to training to inference, and then also if I want to deploy a background agent, let's say, sandbox, do persistent storage, a whole bunch of other stuff.Vibhu [00:22:38]: We talked to Cole, who did, OpenInspect. Yeah.Akshat [00:22:42]: Yeah.Vibhu [00:22:42]: And RealInspect also is on Modal.Akshat [00:22:44]: Yeah. So Ramp Inspect was a great example of a background agent that was really successful because they, were able to use some of the primitives like snapshotting and fast scaling to just have something that feels really reactive and works well.Ramp Inspect and Background AgentsVibhu [00:23:02]: Yeah. That's the new CTO of, Ramp right there.Akshat [00:23:05]: Yeah, Rahul.Vibhu [00:23:08]: It was really fun. yeah, okay, I think, all very bullish. Like, one of my reflections was also I did not originally. So when I met you guysThe Inference Inflection: CPU, GPU, and Co-LocationVibhu [00:23:19]: You weren't that much in the GPU game, and now you're all about, inference. And one of the points that I hinged on for Jensen's keynote at GTC this year was, what we're calling like the inference inflection, right? That let's say in AI workloads or machine learning workloads, it used to be like, let's call it eight to one GPU to CPU, and now it's more like one to one, which is like a interesting. Like, - because of how much agents are blocked or call out to this, to CPU heavy stuff the actual, like, limiting factor, like, swings back and forth from GPU to CPU a lot more than it used to be all GPU and then occasional CPU.Akshat [00:24:01]: Yeah.Vibhu [00:24:02]: GPU, CPU. And now it's like just constantly, and you just have to locate everything.Seventeen Clouds and the Supercloud StrategyAkshat [00:24:08]: Yeah. And that's one of the things that, again, we see as, something appealing about Modal, which is we've built this capacity pool that spans, 17 cloud providers, so we're, we're very good at Running on various kinds of cloud capacity across the worldSwyx [00:24:24]: You don't have your own data centers?Akshat [00:24:25]: We don't have our own data centers. We just run across a lot of neo cloudsSwyx [00:24:29]: Yeah. AreAkshat [00:24:30]: Metal providers.Swyx [00:24:30]: Yeah. Question mark.Swyx [00:24:31]: Yeah. You're, you're running the math, and you're like, “What's the cutover point where you're like.”Akshat [00:24:36]: Yeah, it's a good question. part of it is we see our differentiator in the software layer, and, being capital light and focusing on the software helps us move really fast. so far it's worked out well because there are so many other people building data centers that we're able to work effectively with them, and again, focus on what makes us, special.Swyx [00:24:55]: Yeah.Swyx [00:24:56]: 17 gets you into, like, the local providers sometimes. LikeAkshat [00:25:00]: The,Swyx [00:25:01]: Which was the most interesting one?Akshat [00:25:02]: There are a lot more neo clouds than you expect, and they all have various degrees of, various levels of reliability. And, that's why it's something we've invested a lot of time in, is building our own reliability layer on top. so if the GPU falls off the bus or something happens, we user workloads are not affected, and that lets us use a lot more capacity than,Swyx [00:25:30]: YeahAkshat [00:25:30]: You as a user would be able to.Swyx [00:25:32]: It's a useful thing to have because like now everyone knows, like, what layer you are and, like, you optimize for being the super cloud of all clouds.Akshat [00:25:41]: Yeah. That's, that's, that's the idea. and so I guess when you mentioned colocation, that's, that's another interesting thing where, one thing we've seen is people come to us when they want, very specifically located, CPUs or GPUs, like they wantSwyx [00:25:57]: Oh, they pin it in likeAkshat [00:25:58]: YeahSwyx [00:25:58]: EU?Akshat [00:25:59]: Exactly. Or EU, US.Swyx [00:26:01]: Right. Data resiliencyAkshat [00:26:02]: AustraliaSwyx [00:26:02]: Locality thing or performance or what?Akshat [00:26:04]: It's either data locality or latency, yeah.Swyx [00:26:07]: Yeah.Akshat [00:26:07]: Like, you want your. They're running sandboxes and model. They want them to be right next to aSwyx [00:26:10]: Yeah, it's easy thenAkshat [00:26:11]: YeahSwyx [00:26:12]: To. That is important in all those things. and so, like, you've accidentally, I don't know if it's accident, but, like, you've built the perfect primitive for agents to express themselves. And then, like, it's almost very funny how every extra development just involves more file system, just involves more CPU.Akshat [00:26:30]: Yeah.Swyx [00:26:31]: Just like the things that you already have. I don't know much about, if there's any, like, networking usages that are interesting, but you've also done some good work on networking.Networking, Sidecars, Private IPv6, and SandboxesAkshat [00:26:40]: Yeah, that's exactly right. Like, we're just taking compute storage and networking and building stuff on that layer, for, again, the stuff people need.Swyx [00:26:49]: YeahAkshat [00:26:50]: We see a few interesting networking things coming up. one is people want networked sandboxes. so we haveSwyx [00:26:57]: For like a Docker cluster type thing.Akshat [00:26:59]: Yeah.Swyx [00:26:59]: Sorry, Docker Swarm. Oh, f**k. What is it called?Akshat [00:27:02]: Compose.Swyx [00:27:03]: Compose type thing.Akshat [00:27:04]: Yeah. So if you want Docker Compose, our sandboxes now support, this thing called sidecars. So you can. A sandbox is a pod of containers, and you can run multiple containers in, a sandbox. also useful because, going back to networking, people want a lot of control over, outbound networking from a sandbox.Swyx [00:27:23]: Yeah.Akshat [00:27:23]: Like, they might wanna run a middle proxy for, like, maybe logging stuff for RL or, controlling how egress can happen to a domain, injecting credentials. and yeah. So we've, we've had to build a lot of that stuff ourselves.Swyx [00:27:38]: Yeah.Akshat [00:27:39]: But then also sometimes people want, sandboxes spanning multiple nodes to talk to each other, which is an emerging thing we're seeing. We have support for that for a different reason, and yeah, we'll see if that becomes stable.Swyx [00:27:52]: Like, just an open socket. It's a. This is directly like mTLS.Akshat [00:27:56]: We do support that, which is you can, expose a tunnel inside a sandbox.Swyx [00:28:01]: Yeah.Akshat [00:28:01]: And then you can either expose it to public internet or it can be, you can add like a HTTP, auth layer above it. But we have this thing called I6PN, which we haven't talked about, which is this, like, overlay network using IPv6 addresses. so if Modal containers, within the same workspace, when this is enabled, can address each other using this private IPv6 address, and no one else can.Akshat [00:28:28]: So it's like private networking, for containers. We built it because we needed it as a primitive for our distributed training product. so we have this other feature, which is you can add a decorator to a function, and you get a cluster of GPUs. and they have RDMA networking. so you can run a distributed training job, that's truly serverless. and we did the overlay network for that. But then we've seen that people are using it for other reasons, and, I'm intrigued to yeah, what would people do with it.Swyx [00:28:59]: Build primitives and let people figure it out, right?Akshat [00:29:01]: Yeah, exactly.Swyx [00:29:02]: You put out a pretty interestingAkshat [00:29:03]: They're like, they read the docs webpage. Let me use thatSwyx [00:29:06]: YeahAkshat [00:29:06]: Something they never intended to work. This is literally not even in our docs page. People somehow found it, and they're using it.RDMA, Memory Movement, and Distributed TrainingSwyx [00:29:12]: Huh.Swyx [00:29:14]: The way you portrayed it with, like, RDMA versus TCP, like, very well laid out, but just the transfer speed change at scale for RL, like yeah, you have it, you have it built in. I'm sure someone found it. It's found it to be a lot more efficient before you made a thing out of it, right?Akshat [00:29:32]: Yeah. And not to split hairs, I guess the overlay network is the TCP overlay network.Akshat [00:29:39]: The reason we have that is you need that to do the key exchange for RDMA before you set up the RDMA network on top of that. but then people found the TCP part.Swyx [00:29:48]: Can I tell you, this is like a big aha moment for me becauseAkshat [00:29:51]: YeahSwyx [00:29:51]: So I review 2,200 submissions for the World's Fair.Akshat [00:29:56]: Yeah.Swyx [00:29:57]: And then I got this from John OsterhoutAkshat [00:29:58]: HuhSwyx [00:29:59]: Who I don't know if. Do John Osterhout by name?Akshat [00:30:01]: The name sounds familiar.Swyx [00:30:02]: He published a. He's a well-known professor, published a lot of interesting software design books, and this is the talk he chose to submit, is on RDMA at Inference. And I'm like, you wouldn't think that this guy, who is like operating systems guy, would care about RDMA.Akshat [00:30:20]: I, it makes sense to me because I,Swyx [00:30:24]: This is the cloud, right? YeahAkshat [00:30:25]: Like, the way you move around your KV cache and how efficiently you can do it, how efficiently you move, your weights from your training GPUs to your inference GPUs in RL is there's a lot of degrees of freedom, and it is a systems problemSwyx [00:30:41]: YeahAkshat [00:30:41]: Moving memory aroundSwyx [00:30:42]: YeahAkshat [00:30:43]: Scheduling.Swyx [00:30:44]: This shows you how primitive my understanding of networking stuff is.Swyx [00:30:46]: Is this like the domain of WireGuard as well?Akshat [00:30:50]: Not quite.Swyx [00:30:51]: It's adjacent?Swyx [00:30:53]: Explain everything.Akshat [00:30:54]: Sure.Swyx [00:30:56]: How do we move memory around GPUs?Akshat [00:30:58]: Well, so sorry. Yeah, that is memory. Sorry, I was talking more, and maybe I was talking like five minutes back, about the private IPv6, addressing that you've set up.Swyx [00:31:09]: Yeah.Akshat [00:31:09]: Is it like it's a VPN?Swyx [00:31:10]: Yeah, it is like a VPN, and yeah, WireGuard is, yeah, you're right. It is,Akshat [00:31:16]: Right. Yeah, you already moved on to new topicsSwyx [00:31:17]: A similarAkshat [00:31:18]: OkaySwyx [00:31:19]: In the same space, WireGuard is, encrypted and this is,Akshat [00:31:23]: And you don't need encryption.Swyx [00:31:23]: Yeah.Akshat [00:31:24]: Yeah.Swyx [00:31:24]: This is not encrypted. that's the main difference. This is TCP and we have eBPF programs that will reject or allow the TCP connection based on whether you're allowed to do it.Akshat [00:31:35]: Used to involve a full sidecar, but now you have eBPF in the Linux kernel.Swyx [00:31:39]: Yeah.Akshat [00:31:40]: Yeah. I don't know if this is a natural follow-on to the topic of like my skepticism on distributed training is that while, like, people spend a lot of money on, like, cables to hook up GPUs, and even that is not, like, fast enough, and that's the bottleneck, is your networking fast enough?Swyx [00:31:59]: Yeah. So I guess you're talking about fully distributed training like, Dialog or something which is like cross data centerAkshat [00:32:06]: That would be, yes.Swyx [00:32:07]: That's the extreme.Akshat [00:32:08]: Yeah.Swyx [00:32:08]: You're in the middle, and then other people would have like the Mellanox cables up in, like, their actual data center.Akshat [00:32:14]: When you run multi-node training on Modal, RDMA, I think Mellanox, is, or InfiniBand is like a, is all seen as RDMA. but it's a way to bypass the TCP networking stack and, transfer, stuff much faster, between one node, to the other. And we have I think like 3 terabit per second, internal networkingSwyx [00:32:40]: OkayAkshat [00:32:40]: Which is the standard that's needed.Swyx [00:32:42]: Okay. So I misunderstood whatAkshat [00:32:43]: 50Swyx [00:32:43]: What part of the stack you wereAkshat [00:32:44]: 50 gigs overSwyx [00:32:45]: YeahAkshat [00:32:45]: If you wentSwyx [00:32:45]: YeahAkshat [00:32:46]: RDMA.Swyx [00:32:46]: Okay.Swyx [00:32:48]: Yeah. I, very impressive work.Multi-Node Training, Post-Training, and Auto ResearchSwyx [00:32:52]: So effectively you're extending like the model philosophy to the training cluster, like, yeah.Akshat [00:32:59]: Yeah. And we're, we're not going for like large scale training runs. the thing that we've built multi-node training for is, we see a lot of, smaller scale post-training. like, people are post-training like medium sized fund models, so they can, get higher quality on inference. this is a perfect fit, for something like that.Swyx [00:33:21]: Yeah. That is my impression of how a lot of these labs explore branches in post-training and then eventually merge whatever they find in.Akshat [00:33:31]: Yeah. The other use case we've seen for multi-node training is even if you have a big cluster, your researchers are still doing small runsSwyx [00:33:38]: YesAkshat [00:33:39]: Having elasticity thereSwyx [00:33:40]: Right, sureAkshat [00:33:40]: Matters a lot more.Swyx [00:33:41]: Yeah. the, like, this is like the current limiting factor for auto research, which is like you need to give your model some GPUs in order for it to completely run.Akshat [00:33:51]: We have a blog post on auto resource and model is,Swyx [00:33:55]: YeahAkshat [00:33:56]: Yeah, like, turns out to be pretty good substrate for that.Swyx [00:33:59]: So my impression is auto research means many things, likeAkshat [00:34:01]: YeahSwyx [00:34:01]: Anything that Andrej coins. Right now it's still science fair, right? Like not like, I don't know how many people are doing this.Akshat [00:34:08]: We're having a golf.Swyx [00:34:08]: Yeah.Akshat [00:34:09]: I thought the same thing.Swyx [00:34:11]: Yeah, you would know.Akshat [00:34:12]: We, like, our internal both training and inference teams use this the general shape of this quite a bit. like we have this one internal repo called auto inference, which essentially we've automated our own forward-deployed engineering efforts using, this harness, which is, the agent will just spin up a sweep of different things. It'll even run like, NVIDIA inside profiler and it'll like tweak configs and it'll arrive the right thing. it'll change your GPUs both from H200 to B200, and works really well.Swyx [00:34:47]: Nice.Akshat [00:34:47]: So yeah.Swyx [00:34:48]: By the way, I enjoy that your forward-deployed engineering is so technical that you have to do these things.Swyx [00:34:52]: It's very different from forward-deployed engineering from other people.Akshat [00:34:54]: Yeah. For our forward-deployed engineering team is, essentially they're like applied inference researchers or applied training researchers.Swyx [00:35:02]: Someone told me like they have to be able to build, but they also have to be able to sell. do they have to sell or are they like they're good, they're just like post-sale type of thing?Akshat [00:35:09]: It does, being able to talk to a customer and engage effectively with themSwyx [00:35:13]: YeahAkshat [00:35:13]: Matters a lot.Swyx [00:35:14]: They want the same thing.Akshat [00:35:15]: Yeah.Swyx [00:35:15]: ?Akshat [00:35:15]: But it's it's not really a sales, thing. We pair them with-- We have solution architects as well that are more on the sales side.Swyx [00:35:23]: Okay. Let's spend a bit more time on auto research. This is a big focus for for this year. Where does this go? like, have people explored enough? Like, there's all these beautiful charts of like improve and then level off a bit and then you find the next thing. Is this one abstraction up from normal training? Is that how we think about it, or do you think about it differently? Like model level training versus high, like driven hyperparameter search.Auto Inference and Modal BenchAkshat [00:35:51]: Yeah, like,Swyx [00:35:51]: Someone, some people call it like neural architecture search or whatever, right? Like.Akshat [00:35:54]: Yeah, - So the stuff I've seen people do with it is nowhere on the architecture level. It's pretty much tweaking parameters, but it's it's a hyperparameter sweep that's guided by some model intuition, so it's like much more efficient than, whatever other, sweep you would have.Swyx [00:36:12]: Yeah, it's just, it's just a question of where you want to spend your compute?Akshat [00:36:16]: Right.Swyx [00:36:16]: ‘Cause yeah, you can just throw infinite amounts of money on this and somehow you'll bang out Shakespeare?Akshat [00:36:22]: Yeah, infinite monkey.Swyx [00:36:24]: Yeah, so like the very good for model. and I think it's also very important that agents can spin up other agents, can spin up their infrastructure. Like very good for you. how good is our LLMs at generating model code? Like the benefit of existing LLMs is that you are in the data.Akshat [00:36:42]: Yeah. They're, they're surprisingly good. I think like pre Cloud 4 they were not, and then now they're able to shot, stuff out of the box. But we're playing around with releasing like a Modal Bench for like the harderSwyx [00:36:55]: YeahAkshat [00:36:55]: Things, that the LLMs cannot do yet and maybeSwyx [00:36:59]: What's an example of that?Akshat [00:37:01]: I think the things that- Sometimes agents struggle with, without right guidance and a skill is, how to, use the rest of our observability. Like how to. Something is failing, like how do you look at the logs and then update the right thing? It's reasoning about that. But they're able to shot, likeSwyx [00:37:23]: Yeah. You can just add a skill to it?Compute Strategy and Capacity PlanningAkshat [00:37:26]: Yeah. So we have a Modal skill now that. Which is why we built this Modal Bench. It's to find things like that, so we can address them in our tool.Swyx [00:37:35]: Tune a skill. Yeah.Akshat [00:37:36]: Yeah.Swyx [00:37:36]: No. it's it's good. are you facing any shortages? like we talk a lot about GPU shortages, but also CPU, also memory.Swyx [00:37:44]: Yeah.Akshat [00:37:45]: We have had a lot of growth, which means that, there's - we've had to be much better aboutSwyx [00:37:53]: PlanningAkshat [00:37:54]: Proactive capacity planning.Swyx [00:37:55]: Yeah.Akshat [00:37:55]: So we have,Swyx [00:37:57]: Which by the way, like it's like a MBA's like dreamAkshat [00:38:00]: YesSwyx [00:38:00]: Is like just planning this stuff. I think last time you and I talked about something maybe about this.Akshat [00:38:03]: Yeah. we have a really competent team of people that we call, The role is called compute strategy. so yeah, if anyone listening here or wants to work on thatSwyx [00:38:13]: Compute strategy?Akshat [00:38:13]: Yeah.Swyx [00:38:14]: I think,Akshat [00:38:14]: I feel like,Swyx [00:38:15]: I think the normies call it FP&A or something.Akshat [00:38:18]: Well, it's more It's it's not FP&A. It's it's There's a lot of interesting financial questions of like what is the blend between one year and three-year reservations? how do we forecast our own capacity? how do we. especially since our capacity is very fungible across different GPU types and different regions, like you have to model a lot of it. and you also have to have an opinion on how the supply chain is gonna evolve, and then you have to like, take bets,Swyx [00:38:49]: YeahAkshat [00:38:49]: Based on that.Swyx [00:38:50]: Tokenomics.Akshat [00:38:50]: Yeah.Swyx [00:38:51]: This is like probably a not a real point, but, I was trying to think about like what other industries. I was trying to think about like, we cannot be first to like these kinds of problems.Akshat [00:38:59]: Yeah.Swyx [00:39:00]: And what other industries have had this? And I was like, airlines with fuel and like they have to hedge their fuel and like, I think for a long time Southwest because they made like a hero fuel bet, they like were like super low cost becauseAkshat [00:39:12]: OhSwyx [00:39:12]: Compared to everyone else.Akshat [00:39:14]: Yeah. I hadn't thought about that.Vibhu [00:39:16]: We're at a fun time too?Akshat [00:39:18]: Yeah. It's. A lot of the compute business in general, for us is also about being very good about capacity management. That is how you have great unit, economics. but also over time it's how you can unlock more value for customers. Like, one of the things we're building now is like a way for customers to get, If they don't care about latency, like get much cheaper pricing and they'll get results back in like next 24 hours or something, like a batch tier essentially.Batch Tiers and Latency-Insensitive WorkloadsSwyx [00:39:47]: Yeah.Akshat [00:39:47]: And those are levers we have because we control the whole stack and scheduling and whatnot to give people a sufficientSwyx [00:39:53]: Yeah. I feel like they're not as popular. Like those, like the Frontier Labs have all those APIs. They're not as popular as they should be.Akshat [00:40:00]: The demand that we see for something like that is not for LLMs. although sometimes people wanna run evals andSwyx [00:40:08]: OkayAkshat [00:40:08]: Synthetic data prep and there it makes sense.Swyx [00:40:10]: Okay.Akshat [00:40:11]: But it's from a lot of LLM companies, like people who are doing computational bio, like they have to run really big batch jobs and they don't care about when they get it back.Swyx [00:40:22]: Yeah. And like they have a reasonable. It's it's also like a cousin to the stopping problem of like, will this finish in time?Akshat [00:40:30]: Yeah. You can bound it.Swyx [00:40:33]: Yeah.Akshat [00:40:33]: Like you can give peopleSwyx [00:40:34]: YeahAkshat [00:40:34]: SLAs on it.Swyx [00:40:35]: Yeah. I think what's, what's interesting is like the next phase of model.Swyx [00:40:38]: Like what, do people expect from you, now that you're established and you're like well-known compute player among all these leading companies. You had an inference launch week, and we talked a little bit about the launches. like what else? Like what else should people know?What Modal Builds NextAkshat [00:40:55]: We are building primitives that make our users' lives much easier. So, I think for example, with LLM inference, thousands more companies are gonna post-train their own models and, deploy open source models for inference. so we're thinking a lot about what is the best product shape for that. And, that involves everything from our training gym to, then, endpoints that get frontier-level performance. again, but I haven't talked to anyone. It looks somewhat different on other verticals. Like, we're also seeing a lot of real-time, audio-video stuff in there, which is why like, we're working on things like regional routing, with fallbacks. So you can get GPUs that are as close to users as possible. so you get like low latency for video streaming and whatnot. And then on the agent side, it's,Akshat [00:41:52]: We're still working very closely with our customers because stuff is changing so fast in terms of what they need. And, I think beyond sandboxes and persistent file systems, there's a lot of other things people will need from this agent stack as they build production agents. So yeah, we're thinking about those other things that fit in there.Swyx [00:42:13]: I want to ask what the other things are.Akshat [00:42:15]: Yeah. I probably should share right now.Swyx [00:42:17]: I think-- I think, okay, so, I do think a lot about the principal components of cloud, and you do talk about compute storage networking.Akshat [00:42:25]: Yeah.Swyx [00:42:25]: Because so far for me, it's fine. so far for the. the first couple generations of cloud, it's fine. What's different, qualitatively different about agents that you need some new permission level? Like a lot of people, okay, and I'll just kinda spew tokens at you until it like hopefully sparks something.Akshat [00:42:43]: Yeah.Swyx [00:42:44]: Like the new level now is whatever Claude Code does, which is dangerously scope permissions or like allow list by command or like whatever, right? And sometimes they're like, “Well, okay, we have like this adaptive thinking mode where like, just trust me, bro. I will make the calls for you.” Is that it? like mediated permissions.Hard Guardrails vs. LLM-Mediated PermissionsVibhu [00:43:03]: Now you're looping it with a goal and letting it roll.Akshat [00:43:06]: Yeah, I'm, I'm skeptical of LLM media permission for stuff that is at the sandbox level because you do want hard boundaries.Swyx [00:43:16]: Yeah.Akshat [00:43:16]: Otherwise, someone can exfiltrate stuff.Swyx [00:43:20]: But likeAkshat [00:43:20]: YeahSwyx [00:43:20]: Maybe that's old school thinking. Maybe we're the dinosaurs.Swyx [00:43:23]: Maybe the AI OS or the LLM OS is really the kernel is a goddamn LLM.Swyx [00:43:30]: Like it makes you feel uncomfortable.Akshat [00:43:31]: Yeah, I'm, I'm toldSwyx [00:43:32]: But that's what trusting the LLM is. Like imagine a spherical cow perfect LLM.Akshat [00:43:36]: Right.Swyx [00:43:37]: That it.Akshat [00:43:39]: Maybe.Swyx [00:43:41]: I wanna test the boundaries, right?Akshat [00:43:42]: Yeah.Swyx [00:43:42]: Like, and I don't believe that, but I wanna see where I'm wrong ‘cause that's, that's the consensus.Akshat [00:43:49]: Yeah. I think you always need hard guardrails when you want, And you can pair those with softer guardrails, right? And that's gonna be a lot of mediated.Managed Agents and Specialized SandboxesSwyx [00:44:00]: There. I'll also get you a end with a couple of your commentary on like the ecosystem outside of Modal. Manage agents. Everyone has one. Gemini, OpenAI, Claude, very useful for you, but also like it is their way of starting to edge into your space.Akshat [00:44:17]: Yeah.Swyx [00:44:17]: What's going on?Akshat [00:44:19]: Yeah, we're, very excited to partner with Anthropic and some of the other foundation labs, will not name who we're also working with. the way we see it is the manage agent thing is a great place to start if you're starting out building an agent and, But then when you get to, building something more production grade, like you're a company that's like Ramp that's building their own, Ramp also runs their accounting agent on us, so their external-facing agent. You need a lot more control over, your compute primitive on things like, what sort - how do you persist different files that the agent has access to, and how do you snapshot and restore? How do you control the networking? maybe you want GPUs. When you get to that point, you kinda want, a specialized sandbox provider, that gives you those things, and that's the role that we are trying to play.Swyx [00:45:15]: YeahAkshat [00:45:16]: We don't really have an opinion on the harness, whether it runs - it's a cloud-managed agent, and you hook it up to Model Sandbox, or you run the harness in Model Sandbox. We'll see where people converge with that.Swyx [00:45:26]: Yeah. Do you any opinions on like the meta harnesses, or just another layer on top of these things?Akshat [00:45:31]: You mean like the OpenPipeSwyx [00:45:33]: OpenPipe is one. I think Vercel had one, which I can't remember the name of right now. Fredshot had one. and then, to me, most recently was Data Databricks that had Omnigen. All these are meta harness. Like it's kinda pseudo agent cloud type things.Akshat [00:45:50]: I personally have not played around with them.Swyx [00:45:53]: Yeah.Akshat [00:45:53]: Build agents with them.Swyx [00:45:54]: Everything's bullish Modal, as long as it consumes more infra.Akshat [00:45:57]: That's why we're focusing on the infra layer. It's somewhere where our, relative competence is and, also it's a hard problem to solve.Swyx [00:46:06]: Yeah. I will say like just generally reflecting on that, I don't know if - if there's other topics on Modal, but like just generally reflecting as an infra person, not as intense as you, but in that field, this has like been the most exciting time in infra. Like it was boring for a while, and you couldn't really get people excited about data infrastructure. Like Eric would get on Data Console, everyone just watched the video and like say, “Look at how many sandboxes I can spin up,” and no one gave a crap.Why Infrastructure Became Exciting AgainAkshat [00:46:39]: Yeah.Swyx [00:46:40]: And like now everyone gives a crap.Akshat [00:46:42]: That's true. It is a very exciting time, and I think a lot of that's driven by just the amount of scale all of this stuff needs.Swyx [00:46:50]: I think the, like a lot of your initiatives or a lot of your like product directions make sense in retrospect, which is like the best kind, but I wouldn't necessarily have thought about it myself, which.Akshat [00:47:00]: We need the predictions.Swyx [00:47:02]: I think there's a lot that you just don't even see, right? Like you have the batch, you have the voice, you have the multimodal, but what else?Akshat [00:47:10]: What else is coming up for usSwyx [00:47:11]: Yeah. Where do you see things going?Akshat [00:47:13]: Yeah. I, in generalBiotech, Robotics, and Non-LLM AI WorkloadsAkshat [00:47:15]: It's it's clear that there's there's a huge shift happening. I think one thing that's not as obvious to people because LLM inference gets talked about so much and is also we work a lot of companies that are, doing things like drug discovery and computational bio, like the Chai Discoveries of the world. Big things are probably gonna happen there. we work a lot of robotics companies that are putting robots in like active deployments and getting good results out of them.Swyx [00:47:45]: Is there Air Gap Modal? Is there a version that is like prem air gapped whatever?Akshat [00:47:50]: No. We,Swyx [00:47:51]: You should cloud only.Akshat [00:47:51]: Yeah.Swyx [00:47:52]: Yeah. Okay. But yeah, so what you're saying is like because you're focused on primitives and they're good primitives, you find use cases in all these kinds of things.Akshat [00:48:01]: Yeah.Swyx [00:48:01]: Probably diversifies you a little bit away from LMS all the time.Akshat [00:48:05]: Yeah, absolutely. We're, we'- our goal isn't to only serve the LLM inference market.Swyx [00:48:10]: There are a lot just on the website, the audio,Akshat [00:48:12]: Yeah. We said both onSwyx [00:48:14]: Computational bio images. Yeah, there's a lot here. There's QTA TTS, customizing. Oh, Chatterbox. there was customizing Whisper.Akshat [00:48:24]: Okay. Yeah.Swyx [00:48:25]: This screen reminds me of a fallen competitor, which Replicate.Model APIs vs. Differentiated AI ProductsSwyx [00:48:31]: What's your postmortem on what happened?Akshat [00:48:34]: This is one thing we've stayed away from is providing an API for models because I think providing model APIs is some of it ends up serving like a really hobbyist market, which is much less sticky.Swyx [00:48:50]: Yeah.Akshat [00:48:50]: And we've always wanted to build for companies that are building products and need more flexibility that's not just an API.Swyx [00:48:57]: Which you can build an API for a model and this is clearly what it is. But you - but what you're saying, you can wrap it into a more fully functioning back end that you run.Akshat [00:49:06]: Yeah. So all of our examples, it's not that spin up this model, here's an API token, use it. They're all code.Swyx [00:49:13]: Okay.Akshat [00:49:13]: And so the point is that this is just an example.Swyx [00:49:16]: Starter code.Akshat [00:49:17]: Yeah. But you can tweak it however you want.Swyx [00:49:20]: Yeah.Akshat [00:49:21]: And if you're like a company building a product, like, computational bio whatnot, yeah.Swyx [00:49:26]: I guess I'm trying to tease out for listenersAkshat [00:49:28]: YeahSwyx [00:49:28]: When does it stop becoming, oh, you're just an API call and you're just a wrapper on API to becoming what you call a product, right?Swyx [00:49:36]: Like, what is that layer? Like what-- Like, more lines of code, but like beyond that, what is the substance that people add that qualifies it to be something more?Akshat [00:49:46]: I think there's a little bit of like a selection effect of like a lot of the companies who do wanna get deeper into that level are probably building something that's more differentiated. And, I think, an example is like - with LLM inference, originally we, worked with companies that were building their own post-training frameworks or they were, - Ramp early in the day was training their own tokenizer and like swapping out the tokenizer in Llama and whatnot. I'm not saying that's, that successful, in that case. But a better example is like, let's say Suno. because Suno, does not use Modal for training.Swyx [00:50:26]: Mikey on the pod. Yeah.Akshat [00:50:27]: But they use Modal for all their inference and that's because they have like a custom-- They have completely custom model architecture and that means that they have to be at the code level and tweak things that are not, just an API.Swyx [00:50:41]: It's interesting as well, like we had, Ethan, most recently on the xAI Groq team make a prediction that like the next tier in video gen is not a better video model, it's a better model or agent that orchestrates video models.Video Agents and Production WorkflowsAkshat [00:50:56]: Oh, interesting.Vibhu [00:50:56]: Language model backbone that can use toolsAkshat [00:50:58]: RightVibhu [00:50:59]: And write code.Akshat [00:51:00]: Like, yes, I can make my second video or my second video from Groq, but I want my minute video.Akshat [00:51:06]: And I'm not going there through normal video gen.Swyx [00:51:10]: Yeah, that's interesting. I - So we have GPU sandboxes and recently have seen a few companies doing agents that do video manipulation or,Akshat [00:51:22]: Yeah. Give it FFmpeg and just do it.Swyx [00:51:23]: Run FFmpeg. But likeAkshat [00:51:25]: That's not enough.Swyx [00:51:25]: Yeah.Akshat [00:51:26]: You need to give it Adobe.Swyx [00:51:27]: Yeah, I hadn't put it together with like it would be a video production thing. in my mind these things were going more towards editingAkshat [00:51:36]: Yeah.Vibhu [00:51:36]: Well, shout out Mantis.Akshat [00:51:37]: I think about this a lot.Swyx [00:51:38]: .Akshat [00:51:41]: Yeah. Sorry.Vibhu [00:51:41]: Luma. Luma Agent is a version of this for video production, but it's a off.Swyx [00:51:46]: I was gonna get your quick takes, on some other stuff that happensGitpod/Ona, CI, and Runtime SandboxesSwyx [00:51:50]: In recent news and just-just see if you have anything interesting. Gitpod, very li

Sarah, Cameron, and John discuss the 2004 indie comedy about a teen girl who gets pregnant while trying to save her “perfect Christian boyfriend” from a lifetime of homosexuality! Starring Jenna Malone, Mandy Moore, Patrick Fugitive, Eva Amaurri, and Macaulay Culkin. Digressions include the film script Sarah tried to write in 2005 (lol), White Chicks (also 2004), and Backrooms. Are we all still talking about Backrooms? This episode was recorded in June. Sources for this episode https://variety.com/2004/film/awards/saved-4-1200536848/https://people.com/mandy-moore-says-filming-saved-in-2004-was-like-summer-camp-exclusive-8669059https://www.rogerebert.com/reviews/saved-2004https://web.archive.org/web/20190622100636/https://www.seattlepi.com/ae/movies/article/Saved-The-gospel-according-to-fervent-teens-1146908.phphttps://www.csmonitor.com/2004/0528/p15s01-almo.htmlhttps://happilyevaafter.com/behind-the-scenes-of-saved/Jena Malone 'Stole a School Bus' While Filming the Movie 'Saved!' (Exclusive)https://en.wikipedia.org/wiki/Saved_(musical)Our theme music is by Suno

¿Cómo pasó España de volar biplanos obsoletos a integrar reactores de MACH 2 en apenas dos décadas? En este episodio, desmitificamos la historia del Ejército del Aire, explorando la compleja red de alianzas, la dependencia del combustible estadounidense y el papel estratégico del Estrecho de Gibraltar durante la Guerra Fría. Marcelino Sempere nos guía por los hangares de la posguerra, donde la falta de repuestos y la precariedad obligaban a los especialistas a hacer milagros con motores caducados y chatarra aeronáutica. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Estamos en: 🆑 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨‍💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es 🔣️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎧Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

This week Tom and Julie suffer through watching clips of Kevin Spacey's appearance on Club Random with Bill Maher, and Jeff Bridges confessing his love of AI music to bonehead podcaster Theo Von. Plus we talk about 30 Odd Foot of Grunts, the state of horror movies in 2026, and Tom and Julie start casting for a new teacher movie.CLIPS FROM THIS WEEK'S EPISODE:-Kevin Spacey on Club Randomhttps://x.com/ClubRandom_/status/2071591345278353889https://youtu.be/Ot0C5RA6tDk?si=aRgF6AwclPQCwUyQ&t=612-Kevin Spacey's new ringhttps://www.instagram.com/p/DaQZa4ZCIHq/-Jeff Bridges shows Theo Von how he uses Suno to make musichttps://x.com/chrisfirst/status/2070589218947264635Patreon is the best way to support Double Threat! Your support keeps the show going and we appreciate it more than we can say. Plus you get weekly bonus episodes, access to monthly livestreams, merch store discounts, and more!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://patreon.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our brand new Double Threat merch is AVAILABLE NOW at https://doublethreatpod.merchtable.comWATCH VIDEO CLIPS OF DOUBLE THREAT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠JOIN THE DOUBLE THREAT FAN GROUPS*Discord⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://discord.com/invite/PrcwsbuaJx⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠*Reddit⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.reddit.com/r/doublethreatfriends/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠*Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.facebook.com/groups/doublethreatfriends⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SEND SUBMISSIONS TO⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DoubleThreatPod@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FOLLOW DOUBLE THREAT⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/doublethreatpod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PAY PIGS ONLYhttps://www.amazon.com/hz/wishlist/ls/1Y826FGBNP19R?ref_=wl_shareDOUBLE THREAT IS A FOREVER DOG PODCAST⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foreverdogpodcasts.com/podcasts/double-threat⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Theme song by Mike KrolArtwork by Joe Frontel00:00 Intro03:54 30 Odd Foot of Grunts09:56 Horror movies ain't what they used to be20:43 We're casting for a teacher movie 20:0027:10 Big NBA trades38:49 Kevin Spacey on Club Random with Bill Maher01:04:38 Jeff Bridges shows Theo Von how he uses Suno to make music01:23:13 OutroSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Mike Mignano is a General Partner at Union Square Ventures, one of the most iconic venture firms in the world, whose investments include Coinbase, Stripe, Etsy, Twilio, Cloudflare. Before joining USV, Mike was a Partner at Lightspeed, where he backed breakout AI companies including Granola and Suno. Prior to investing, he co-founded Anchor, acquired by Spotify.  AGENDA: 00:00 Is Fear of Failure the Secret Weapon Behind Great Founders? 07:20 Why Leave Lightspeed for USV — and Is Thesis-Driven Venture Still Alive? 09:50 Is the Real AI Money Still in Infrastructure, or Are Apps Finally About to Explode? 13:00 Who Wins the AI Model War: OpenAI, Anthropic, Open Source, or the "Rebel Alliance"? 19:00 Are We About to Hand Our Entire Lives Over to AI Agents? 21:00 Can Anthropic Keep Growing Like This — or Will Token Spend Break the Model? 26:00 Can AI Routing Become a $50BN Company, or Is It Just a Commodity Pipe? 30:00 Will the AI Energy Crisis Create the Next Monster Venture Outcomes? 36:00 Can Startups Survive Microsoft, OpenAI, and the Brutal Power of Bundling? 45:00 Should VCs Ignore Price When Backing Generational Companies? 55:30 Is Traditional Media Dead — and Who Becomes the New Tech Kingmaker?    

Rosie Nguyen is the Head of Creators at Suno, the world's leading AI music company. Before that she co-founded Fanhouse, joined Cantina, and went viral more times than I can count. She's bright, passionate, and comes into this episode with so many wild stories and experiences.In this ep, we talk about:→ growing up on food stamps and supporting immigrant parents→ getting demoted at her own company, then watching it get sold behind her back→ the phone call that saved her life→ going viral again and again and the attention that brings online→ why her current era makes her prouder than raising $20 million ever didThis one is for anyone who's ever been underestimated, flattened into one dimension, or had to rebuild from zero. Rosie is one of the most earnest and hilarious people I know, and this convo originally went almost THREE hours.→ Find Rosie on LinkedIn: https://www.linkedin.com/in/jasminericegirl/Submit your Coworker Confessions

Mucho se ha escrito sobre el final militar de la Segunda Guerra Mundial, pero poco sobre el laberinto protocolario y político que supuso la rendición incondicional alemana. Desde el cuartel general de Eisenhower hasta la pequeña Escuela Roja de Reims, revivimos los momentos clave que marcaron el fin del conflicto en Europa. Un relato sobre plumas estilográficas, mapas desfasados y oficiales que aún creían poder negociar su destino. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

It's time for an all new Terrible Terror podcast and we're back in the realm of horror flicks! This episode I'm looking at Winchester starring one Helen Mirren! What's the best way to trap a ghost in a house? Why are those stairs going to that random wall? Should you be a ghost hunting apologist? Find out the answers to all of these and more in an all new episode!Terrible Terror:Facebook: https://facebook.com/terriblet...Instagram: https://instagram.com/terrible...Twitter: https://twitter.com/T_T_Podcas...YouTube: https://www.youtube.com/@terribleterrorpodcastTwitch: https://twitch.tv/terribleterr...Suno: https://suno.com/@terribleterrorsDiscord: https://discord.gg/vvKuCVNYCheck out the Terrible Terror Store On TeePublic! The new Corn Tree design is now available:http://tee.pub/lic/e7et5lQSSbwCheck out Dubby and use TerribeTerrors for 10% off your next order: https://www.dubby.gg/

This 4th of July, declare independence from the $219 a month subscriptions you forgot about. The trick? AI. Plus, Bert is using Suno bring over 100 songs he's written to life. Learn more about your ad choices. Visit megaphone.fm/adchoices

Mucho antes de Verdún, el mundo asistió a un asedio que revolucionaría la guerra moderna. En Port Arthur, rusos y japoneses libraron una batalla de desgaste donde la artillería pesada, las trincheras y los asaltos frontales marcaron el inicio de una nueva era de destrucción. Analizamos este conflicto clave con Antonio Muñoz Lorente, autor de Los Cañones de Port Arthur, explorando cómo esta guerra fue la verdadera antesala de los grandes conflictos del siglo XX. 📚 Libro referenciado https://hrmbookstore.es/hrm-ediciones/2848-los-canones-de-port-arthur.html ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Join us as we sit down with producer, songwriter, and worship pastor Josh Dunn for an inspiring conversation on the Worship Keys Podcast. Josh shares the story behind his vintage rescued Baldwin upright piano, his sound design secrets for getting that raw authentic tone, and an honest take on AI and Suno in worship music today. We talk creativity, authenticity, and what it means to stay true to your sound in 2026. Don't miss his thoughts on why true creativity can't be replaced by AI. Next episode, Josh breaks down what it really costs to produce a great demo from start to finish.Aerospace AudioJosh DunnSupport the showThanks for listening! Subscribe here to the podcast, as well as on YouTube and other social media platforms. If you have any questions or suggestions for who you want as a featured guest in the future or a topic you want to hear, email carson@theworshipkeys.com. New episodes release every Wednesday!

Último episodio del Auge del Fascismo, donde la cúpula fascista duda de entrar en una guerra contra enemigos más poderosos. El ejército era el primero consciente de su debilidad y exageraba informes del enemigo. Solo con la caída de Francia y un Reino Unido debilitado se arriesgaron, pensando que el conflicto duraría apenas una o dos semanas, y la Italia Fascista se aprovecharía. La declaración de Guerra desde el Palazzo Venezia fue el principio del fin. Te lo cuenta Esaú R. con la ayuda de Dani C. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. ¿Quieres anunciarte en este podcast? Hazlo con advoices.com/podcast/ivoox/391278 Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Your weekly guide to the music biz and how it all works. This week, Stu and Joe get ready for their summer holidays and punt a beachball at this week's music biz news:How much has controversial secondary-ticketing firm StubHub has just been fined in the UK for illegal ‘drip pricing'? (Also, what is that?)The news seems bit AI-heavy this week, but it's actually all about artists:→ 31 groups representing artists and managers have written an open letter about AI music… but it's not AI companies who it's addressed to…→ AI-music company Suno is giving some money to musicians at last! But there are some strings attached…→ Meanwhile, streaming service Tidal isn't giving ANY money to wholly AI-generated music, according to its new policies on this area.ANY OTHER BUSINESS?→ James Blake has been making friends in the world of music journalism. Hasn't he? Oh.→ And talking of good causes, more than 200 artists have signed an open letter calling for a Fossil Fuel Treaty. So who's signing, and what exactly do they want? (and there is some new advice on how we as music fans can reduce the impact our streaming has on the planet.)AND FINALLY…→ Recommendations of classic, influential hip-hop bangers from a maker of fizzy, lemonade-adjacent drinks.And in the special post-show lock-in section just for our ⁠⁠Patreon Superfans⁠⁠, Stu and Joe prop themselves up at the bar – in this week's bonus material: Can you make money by investing on things mentioned in a Kraftwerk song?A Little Grandad Update - a segment that now has its own jingle! In a section recorded before England get knocked out on penalties / gloriously proceed on penalties against DR Congo, Stu and joe take a look at the successful use of the much-mocked 'hydration break' as a massive singalongThey also venture further into the Official FIFA World Cup Album™ and dare to ask the question: who is iShowSpeed anyway, and why does he have a song?Assorted football songs discussed:IShowSpeed - World Cup (Champions) https://www.youtube.com/watch?v=vrY1THC_NQE&list=OLAK5uy_nsOacWtSBM2kV8c_yjosYwk3hQq1A7-JY&index=19Alejandro Fernández - Mi Mexico Lindo https://www.youtube.com/watch?v=Rk-8wMflT34Belle and Sebastian https://www.youtube.com/watch?v=O8riNobpEyg Peter Beardsley doing the John Barnes rap from "World In Motion" https://www.youtube.com/watch?v=nPh63Y6sSKA===================================As ever, we welcome your feedback, emails and – in particular – any questions you might have about how the music biz works!Email us: ⁠⁠thepriceofmusicpodcast@gmail.com⁠⁠See you next week!Stuart and Joe======TPOM online: http://tpom.uk/Support The Price of Music on Patreon:⁠⁠https://www.patreon.com/ThePriceofMusic⁠⁠Follow Stuart on X - @stuartdredgeFollow The Price of Music on X - @PriceofMusicpodFor sponsorship opportunities, please email - ⁠⁠joe@musically.com

It's a new minisode a day late (sorry about that) and I talk about why, something new in this place, the next movie we're taking a look at and Scary Movie (6).Terrible Terror:Facebook: https://facebook.com/terriblet...Instagram: https://instagram.com/terrible...Twitter: https://twitter.com/T_T_Podcas...YouTube: https://www.youtube.com/@terribleterrorpodcastTwitch: https://twitch.tv/terribleterr...Suno: https://suno.com/@terribleterrorsDiscord: https://discord.gg/vvKuCVNYCheck out the Terrible Terror Store On TeePublic! The new Corn Tree design is now available:http://tee.pub/lic/e7et5lQSSbwCheck out Dubby and use TerribeTerrors for 10% off your next order: https://www.dubby.gg/

Jóvenes que apenas superaban los 20 años pilotaron sus aviones estrellándose contra el enemigo, pasando a la historia con el imperecedero término de Kamikazes, el nombre occidental para los Cuerpos de Ataque Especial o Tokkōtai, unidades de ataque especial. No fueron el arma milagrosa que pudo cambiar el rumbo de la guerra, pero se convirtieron en el método más eficaz con el que Japón golpearía a la flota estadounidense en las etapas finales de la contienda. Te lo cuentan Antonio Salmerón "Von Hammer", Antonio C. y Antonio G. 📚 Libro Relacionado Tokkōtai https://hrmbookstore.es/historia-militar/2685-tokkotai.html ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. ¿Quieres anunciarte en este podcast? Hazlo con advoices.com/podcast/ivoox/391278 Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

¿Producto de una genial estrategia, o una salida honorable? ¿Fue Francia quien se metió en una trampa? ¿O fue el ejército del Vietminh quien supo jugar mejor sus cartas? En el último episodio de la Guerra de Indochina, analizamos concienzudamente la batalla final. Sus consecuencias tuvieron un recorrido mucho más amplio del que se esperaba. ¿Y lo de las bombas atómicas? Sí, María V., Antonio G. y Dani CarAn te contarán la verdadera historia de algo que pudo reamente pasar. ◼️ Edición Limitada Versus Vol.1 👉 https://go.ivoox.com/sq/3153351 ◼️ Casus Belli Podcast pertenece a 🏭 Factoría Casus Belli. Casus Belli Podcast forma parte de 📀 Ivoox Originals. 📚 Zeppelin Books (Digital) y 📚 DCA Editor (Físico) http://zeppelinbooks.com son sellos editoriales de la 🏭 Factoría Casus Belli. Estamos en: 🆕 WhatsApp https://bit.ly/CasusBelliWhatsApp 👉 X/Twitter https://twitter.com/CasusBelliPod 👉 Facebook https://www.facebook.com/CasusBelliPodcast 👉 Instagram estamos https://www.instagram.com/casusbellipodcast 👉 Telegram Canal https://t.me/casusbellipodcast 👉 Telegram Grupo de Chat https://t.me/casusbellipod 📺 YouTube https://bit.ly/casusbelliyoutube 👉 TikTok https://www.tiktok.com/@casusbelli10 👉 https://casusbelli.top 👨💻Nuestro chat del canal es https://t.me/casusbellipod 🎵 La música que aparece en este episodio está cubiertas por licencias privadas de Epidemic Sound, Jamendo, SUNO o SGAE SGAERRDDD/4/1074/1012, o están compuestos por Dani CarAn bajo Licencia Creative Commons Atribución – No Comercial 4.0 Internacional (CC BY-NC 4.0) https://creativecommons.org/licenses/by-nc/4.0/deed.es ⚛️ El logotipo de Casus Belli Podcasdt y el resto de la Factoría Casus Belli están diseñados por Publicidad Fabián publicidadfabian@yahoo.es 🎭Las opiniones expresadas en este programa de pódcast, son de exclusiva responsabilidad de quienes las trasmiten. Que cada palo aguante su vela. 📧¿Quieres contarnos algo? También puedes escribirnos a casus.belli.pod@gmail.com ¿Quieres anunciarte en este podcast, patrocinar un episodio o una serie? Hazlo a través de 👉 https://www.advoices.com/casus-belli-podcast-historia Si te ha gustado, y crees que nos lo merecemos, nos sirve mucho que nos des un like, ya que nos da mucha visibilidad. Muchas gracias por escucharnos, y hasta la próxima. ¿Quieres anunciarte en este podcast? Hazlo con advoices.com/podcast/ivoox/391278 Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

The Steam Rollers Adventure Podcast,     Season 4: "The Curse of the Glass Witch"   Episode 322, Chapter 41 "Pup, The Magic Dragon" PATREON RELEASE (BRONZE+): 3 weeks early! COMMERCIAL FREE with EXCLUSIVE ART! PUBLIC RELEASE: Thursday, June 25th Show Notes for the Episode... Boris did a nice because of the promise of something that makes the human host uncomfortable. In the first segment, we continue with Jasper and Pup as they take the opportunity to rob the Halo General Store amidst its smoking ruin. In the second segment, we go back to Holly the Faerie Witch as the Keepers close in on her. In the final segment, Robin and I discuss the state of the story so far. (* - In the show I referred to Moon Spirit as Moon Shadow. They're completely different characters) Production... Executive Producer:            George Pecenica Producer:            Mike West Patreon Sponsor:             Irritating Fog Cast...Storycrafter - Mike Rigg           Robbie, Boris, Margie, and Ben - Themselves     George Pecenica as Percy Alexander     Ray Volk as Martin Barnett     Jenn Avril as Connie Ross     Rupert Faullhurst as Nigel Osbert Wintermann     Dave Murtagh as Oliver Glass     and introducing Robin as Holly the Faerie Witch and Blake Azur as Jasper Remington Music Credits...          "Undaunted," "Almost New," "Dark Times," "Division," String Impromptu Number 1," "Tenebrous Brothers Carnival-Mermaid," "To the Ends" by Kevin MacLeod (Incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ . Additional music: "The Steam Rollers Adventure Podcast Theme" performed by Floof* , "A Jaunty Day in SRAPland," "Jasper," "Pup," "Mayden's Theme," "Temple Upstroke," "The Halo Temple" by RST Musek (* Floof is a fictional band. Find out more by following Whiskey Tango Furball on YouTube @WTFurball. RST Musek lyrics written by Michael J Rigg, music generated using SUNO.)

Nu gräver vi på riktigt ner i SUNO AI, vad det är, och Lawsuit:en som pågår. En oerhört intressant kamp som fårfruktansvärt stora konsekvenser för typ alla Musikanvändare, oavsett utgång.Kort analys på VM-låten, "när vi gräver guld i USA"Vad är en ”Italienare” ?Skolavslutningars musik och vanskligheten med att just använda AI-verktyg när det pågår massa krig och ostadighet i världen.Förbannat festligt att just du lyssnar!Vill du ha din låt uppspelad direktmed tillhörande analys.Maila oss låtlänk + info om projektet till: Musiksnacket@iwm.se

What does getting fired from a yogurt shop have to do with $50 billion in luxury real estate video? Everything, if you're Ori Harel. Ori Harel is the founder of Reel-E.AI and Lumara Media, the company behind some of the most iconic luxury property videos ever filmed — for clients like Blackstone, Marriott International, the Altman Brothers, and Jason Oppenheimer. But now, he's building the tool that makes professional listing videos accessible to every agent, not just the top 2%. In this episode, hosts break down: •       How Ori went from getting fired at a yogurt shop to filming $50M-$100M homes in Los Angeles •       What makes a great listing video (and what makes a terrible one) •       How Reel-E.AI turns existing listing photos into cinematic, music-synced videos automatically •       Why AI-generated music is immediately royalty-free and how to use it for your listings •       A step-by-step DIY guide: Suno or Gemini for music, VO3/Cling for photo-to-video, DaVinci Resolve or Premiere to cut to the beat •       Why AI listing videos from today already outperform Ori's own 2017 work — at 50-100x less cost •       Whether AI will eventually replace all real estate video production   Try Reel-E.AI for free (3 videos, no strings attached): https://www.reel-e.ai/ Contact Ori directly: ori@reel-e.ai

When I started the Juicebox Podcast, the idea was simple: take the things people usually learn the hard way and put them somewhere a newly diagnosed family could find them before the fear got too loud. This song comes from that same place. The words are drawn directly from the podcast — the management series, the interviews, and years of conversations with this community. I worked with Claude, an AI assistant, to shape those ideas into lyrics, then directed the music, voices, and arrangement myself before having it performed by Suno, an AI music tool. The AI performs it, but the podcast wrote it. Type 1 diabetes can be a lot most days, especially in the beginning. I hope this reminds you that there are people who understand what you're carrying, who have been there, and who will have your back. Start here. What I Wish I Knew The first night home is quiet But not the peaceful kind Papers on the counter New numbers in your mind The fridge hum sounds louder The clock won't let you sleep And every word they gave you Feels too sharp to keep You're staring at the kitchen Like the walls might tell the truth Asking no one in particular What am I supposed to do? Full lyrics at link below. Lyrics drawn from Juicebox Podcast episodes, shaped with Claude Music, voices, and arrangement directed by Scott Benner Performed by Suno Disclaimer - Nothing you hear on the Juicebox Podcast or read on Arden's Day is intended as medical advice. You should always consult a physician before making changes to your health plan. . Hear more at juiceboxpodcast.com/jukebox

“The Puerto Rico Song” might be the song of the summer… but it's from $5B AI startup, Suno.Salt & Straw is on sale for $200M… after inventing more ice cream flavors than anyone.We have it all wrong - AI isn't taking jobs from young college grads... It's actually work from home. Plus, it's SpaceX IPO week, so we found a wild stat… What % of Elon's promises come true?$SPCX $SBUX $SPOTGrab your Tickets to the IPO Tour: Our In-Person OfferingSan Francisco 9/23: https://www.ticketmaster.com/event/1C0064AFB5F688BDBoston 10/14: https://tickets.citywinery.com/event/tboy-the-ipo-tour-in-person-offering-8cdhupSeattle 11/4 (21+): https://www.axs.com/events/1446394/the-best-one-yet-ticketsNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

This week on Grumpy Old Geeks, Brian and Jason once again survey the smoldering wreckage of the tech industry and discover that the people building the future are increasingly being sued by governments, publishers, customers, employees, and occasionally reality itself. California is coming after 23andMe over its catastrophic data breach, Florida is taking a swing at OpenAI, CNN has joined the ever-growing conga line of companies suing Perplexity, and Meta somehow decided the solution to improving AI is recording employees' every mouse click while generously allowing them a whole 30-minute privacy break. Meanwhile, Google's own engineers are sharing memes about how much Google's AI tools suck, Microsoft apparently wants users addicted to its new AI assistant - first taste's free! - and Anthropic is preparing to go public with a valuation that makes even the most irrational dot-com era investor look financially responsible.The AI arms race continues producing exactly the kinds of outcomes you'd expect when venture capitalists start huffing their own press releases. Instagram's AI support bot reportedly helped hackers steal accounts because apparently "Are you sure you're the owner?" was considered an optional step. Suno raised another $400 million while fighting copyright lawsuits, Paramount+ seems to have let AI create the ugliest Star Trek thumbnail in Federation history, and Stan Lee has now been digitally resurrected because modern capitalism looked at death and said, "Nice try." Over in transportation, BYD is so confident in its self-driving technology that it's willing to pay for your accidents, while Tesla owners are discovering their old Full Self-Driving contracts may have quietly received software updates of the legal variety. Somewhere in a conference room, a lawyer just whispered, "Let's not put that in writing," ten years too late.Elsewhere, governments worldwide continue their ongoing experiment of raising children by confiscating smartphones. Malaysia has implemented a social media ban for kids under 16, Poland wants phones and smartwatches locked away at school, and Kentucky schools just collected $27 million from social media companies accused of building products as addictive as cigarettes.Dave Bittner drops by for a visit and we discuss Spotify listeners apparently preferring old music because new music keeps getting algorithmically focus-grouped into oblivion and a healthy dose of Star Wars, Downton Abbey, Derry Girls, Lego, books, gadgets, and AI-generated jazz. Add it all up and you've got another week where the only thing moving faster than technology is the legal department trying to keep up.Sponsors:DeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.Shopify - Sign up for your one-dollar-per-month trial today at Shopify.com/grumpyPrivate Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/749Watch on YouTube at https://youtu.be/A1sv2BEzWBkShow NotesVibe Coders are Script KiddiesDestroy the BroligarchyColorado Governor Vetoes Surveillance Pricing Ban as Public Backlash Against the Tech GrowsCalifornia sues 23andMe over 2023 data breach that affected 7 million usersFlorida sues OpenAI, Sam Altman, in first-of-its-kind lawsuit over violent incidentsMeta will reportedly let employees take 30-minute breaks from its tracking programInstagram is alerting users who were targeted by hackers during AI chatbot attacksGoogle Employees Internally Share Memes About How Its AI SucksGoogle ordered to put clearer links in AI search and let UK publishers opt outMicrosoft Wants to 'Make People Addicted' to its New AI Assistant, Internal Documents RevealMeta, other social networks will pay $27 million to settle Kentucky school district lawsuitMalaysia's under-16 social media ban carries fines up to $2.5 millionPoland wants to ban phones and smartwatches in schoolsCNN is the latest media company to sue PerplexityStill facing copyright lawsuits, AI music generator Suno raises another $400MBYD is assuming financial liability if you crash while using its self-driving techAnthropic is set to go public after filing paperwork with the SECData Center Operators Are Trying to Fix Their Water Use ProblemsTesla Owners Say Their Old FSD Contracts Were Quietly ChangedStan Lee's voice and likeness have been resurrected, thanks to AIParamount+ used AI to make the ugliest Star Trek thumbnail ever2026 World Cup Wall ChartI Am Not a Robot: My Year Using AI to Do (Almost) Everything by Joanna SternCarl's Doomsday Scenario: Dungeon Crawler Carl Book 2 by Matt DinnimanWisdom Takes Work: Learn. Apply. Repeat. by Ryan HolidayBelkin Connect 4-Port USB-C Hub - USB C Hub Multiport Adapter Dongle with 4 USB-C 3.2 Gen 2 Ports - High-Speed 10G Data Transfer for Laptop, MacBook, iPad, PC, and More - 100W PD - $32.24Dave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingThe Mandalorian Season 1Star Wars: RebelsWrapped up the Downton Abbey series rewatchBuffy and Ted Lasso star Anthony Head dies at 72Almost through the Derry Girls series.Lego Mando and Grogu set (mild spoiler)AI generated JazzThe Biggest Hits on Spotify Right Now Are a Blast From the PastSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.