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Re-recording mixers Erik Valenzuela & Sal Ojeda join Tonebenders to talk about their wild schedule during audio post on RuPaul's Drag Race. Between them they have combined to work on over 330 episodes of Drag Race, making them experts on reality TV postproduction workflows. Dialog often presents the largest challenges and they have to use every tool they can get their hands on to make the final show sound smooth and clean. We also dig deep into the Rusical (a Rupaul Musical) episodes and the many challenges they present. Los Angeles listeners, make sure you sign up now for SoundDay LA on August 9th https://luma.com/58xnoz87 ____ For full details on how you can take part in this year's Tonebenders Listener Field Recording Stories, go to https://tonebenderspodcast.com/field-recording-story-submissions/ ______ SPONSORS: If summer has your next project heating up, Sound Ideas is making it easier to build up the library you'll need. During the Sound Ideas Mid Year Sale, you can save 50% on all proprietary items. From impacts and ambiences to vehicles, animals, machinery, production elements, and specialty effects, you can stock up on professional sounds before the next deadline hits. Get ahead of the edit with sounds ready for the scenes, transitions, textures, and surprises still to come. Shop the 50% off, Mid Year Sale now at https://sound-ideas.com/ _____ Big thanks to SoundDay LA's event sponsor Remoto Playback. Pitch-perfect remote review sessions without a monthly subscription. Go to remotopro.io to learn more ______ Make sure you are up to date with everything Tonebenders is doing, from upcoming events to the latest episodes by signing up for the once-a-month Tonebenders email newsletter: https://tonebenderspodcast.com/join-our-email-list/ Episode Notes: https://tonebenderspodcast.com/369-rupauls-drag-race/ Podcast Homepage: https://tonebenderspodcast.com/ This episode is hosted by Timothy Muirhead
Today we speak to Ian from Epoch Philosophy. He talks to us about the potential dangers Peter Thiel's secret society "Dialog" could cause for the future of freedom. No ads and all exclusives: patreon.com/popularfront Discounted 50% off the best internet privacy for all our listeners: proton.me/popularfront INFO | MERCH | NEWS | JAKE | SUBSTACK
▶️ Gratis Ernährungsplan sichern + Zugang in geheime Gruppe: https://mrbroccoli.klicktipp.site/Du willst mehr erfahren? Schreibe eine E-Mail an: christian@christian-wenzel.com✨ Mehr mr.broccoli:BlogYouTubeInstagramTelegram-Community (für besonders brisante Themen)NewsletterDISCLAIMER:Die auf dem YouTube-Kanal „mr.broccoli“ bereitgestellten Inhalte, einschließlich Videos, Beschreibungen und weiterer Veröffentlichungen, dienen ausschließlich der allgemeinen Information, Inspiration, Bildung und Unterhaltung. Sie stellen keine medizinische Beratung, Diagnose oder Therapieempfehlung dar.Alle Inhalte basieren auf sorgfältiger Recherche sowie persönlichen Erfahrungen und Meinungen, ersetzen jedoch nicht die individuelle ärztliche Beratung, Diagnose oder Behandlung durch qualifizierte Gesundheitsfachkräfte. Die Umsetzung von Informationen aus unseren Videos erfolgt auf eigenes Risiko. Bei gesundheitlichen Beschwerden oder Fragen zur Einnahme von Nahrungsergänzungsmitteln, Therapien oder Lebensstilveränderungen sollte stets ärztlicher Rat eingeholt werden. Setze niemals ärztlich verschriebene Medikamente eigenmächtig ab. Der Inhaber des Kanals übernimmt keine Haftung für etwaige Schäden oder Verluste, die durch die Nutzung oder Nichtnutzung der von den Interviewpartnern oder durch mr.broccoli bereitgestellten Informationen entstehen. Vergangene Erfahrungen oder genannte Beispiele in Interviews stellen keine Garantie für zukünftige Ergebnisse dar – jeder Körper ist einzigartig und reagiert individuell. Wichtig: Auch wenn wir bestrebt sind, Inhalte aktuell und wissenschaftlich fundiert zu gestalten, können sich Erkenntnisse im Laufe der Zeit ändern. Die eine "Wahrheit" gibt es in der Wissenschaft nicht, sie ist immer individuell und zu komplex in ihrer Gesamtheit, um sie mit einem Video vollständig zu beleuchten.mr.broccoli steht für Aufklärung, gesunden Menschenverstand und Eigenverantwortung – aber nicht für medizinische Heilsversprechen. Bleib neugierig, kritisch und im Dialog mit deinem Körper und deinem Arzt.
Change & Kultur in der KI-Transformation: KISB-Launch SHE Serie - Folge 5 Widerstand gegen KI ist kein Fehler im System – er ist der normale Anfang jeder echten Transformation. Folge 5 der KISB-SHE-Serie zeigt, wie du mit Spiral Dynamics und der integralen Theorie die Kulturebene eines Unternehmens präzise einordnest und mit den sieben Fragen des Change-Managements konkret ins Handeln kommst. Wer diese Faktoren unterschätzt, scheitert – egal wie gut die Technologie ist. Widerstand ist kein Problem – er ist ein Signal Fast jedes KI-Projekt, das stockt, stockt nicht an der Technologie. Es stockt an den Menschen. Widerstand gilt im Change-Management als normaler Bestandteil jeder Transformation – nicht als Ausnahme, die man wegmanagen muss. Wer das versteht, hört auf, Widerstände zu bekämpfen, und fängt an, sie zu lesen. Welche Sorge steckt dahinter? Welcher Wert fühlt sich bedroht? Diese Haltung – fragen, um zu verstehen, nicht um zu antworten – ist der zentrale Gedanke dieser Folge. Sie klingt einfach. In der Praxis verlangt sie echte Disziplin. Spiral Dynamics: Wo steht das Unternehmen wirklich? Spiral Dynamics liefert ein Modell, das Bewusstseinsstufen und Werteebenen in Organisationen sichtbar macht – von stark hierarchisch-regelorientierten Kulturen bis hin zu integrativen, sinngetriebenen Systemen. Für die KI-Transformation ist das entscheidend: Eine Maßnahme, die in einem selbstorganisierten Unternehmen sofort zieht, kann in einer blauen, prozessdominierten Struktur kompletten Widerstand auslösen. Das Framework hilft dir, die Sprache und den Einstiegspunkt zu wählen, der zur tatsächlichen Kulturstufe passt – statt eine Einheitslösung über alle zu stülpen. Integrale Theorie: Vier Quadranten, ein vollständiges Bild Spiral Dynamics allein greift zu kurz. Die integrale Theorie ergänzt es um vier Quadranten: individuelles Innen (Haltung, Überzeugungen), individuelles Außen (Verhalten, Fähigkeiten), kollektives Innen (Kultur, geteilte Werte) und kollektives Außen (Strukturen, Prozesse, Systeme). Wer KI-Einführung nur als technisches oder prozessuales Thema behandelt – also ausschließlich im kollektiven Außen – übersieht drei von vier relevanten Feldern. Besonders das kollektive Innen, die gelebte Kultur, ist der blinde Fleck vieler Projekte. Genau dort entscheidet sich, ob Veränderung hält. Die sieben Fragen der Veränderung – der praktische Werkzeugkasten Neben den beiden Frameworks bringt diese Folge die sieben Fragen des Change-Managements ins Spiel. Sie bilden den operativen Gegenpol zur Theorie: Wohin wollen wir? Warum jetzt? Was verändert sich konkret für wen? Wie sieht Erfolg aus? Was verlieren wir – und was gewinnen wir? Wer trägt die Veränderung? Wie bleiben wir im Gespräch? Diese Fragen strukturieren den Dialog mit Teams und Führungskräften. Sie verhindern, dass Change zur Einbahnstraßen-Kommunikation wird, und schaffen den Raum, in dem echtes Commitment entstehen kann. Fazit: Die Reise endet in hybriden Organisationen – wer jetzt die Kultur baut, gewinnt Langfristig führt die KI-Transformation in hybride Organisationen: Teams aus menschlichen Mitarbeitern, digitalen Assistenten und humanoiden Systemen. Das ist keine Science-Fiction mehr – es ist die Planungsgrundlage für strategisch denkende Unternehmen heute. Change und Kultur sind dabei keine weichen Begleitthemen. Sie sind die Faktoren, an denen große Projekte scheitern. Wer jetzt lernt, Kulturstufen zu lesen, Widerstand zu verstehen und die richtigen Fragen zu stellen, baut das Fundament für diese Zukunft. Nicht irgendwann. Sondern mit jedem nächsten Schritt. Das nimmst du mit: • Widerstand in KI-Projekten ist ein normales Signal – wer ihn liest statt bekämpft, kommt schneller voran. • Spiral Dynamics hilft dir, die tatsächliche Bewusstseins- und Kulturstufe eines Unternehmens einzuordnen und passende Maßnahmen zu wählen. • Die integrale Theorie zeigt vier Quadranten: Wer Change nur als Prozess- oder Technikthema behandelt, übersieht Haltung, Verhalten und gelebte Kultur. • Die sieben Fragen des Change-Managements strukturieren den Dialog mit Teams und verhindern Einbahnstraßen-Kommunikation. • Die Grundhaltung der Folge lautet: Frage, um zu verstehen – nicht um eine Antwort parat zu haben. • Hybride Organisationen mit digitalen und humanoiden Kollegen sind das Ziel – die Kulturarbeit von heute ist das Fundament dafür. Noch mehr von den Koertings ... 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Dieses Buch zeigt dir, wie du relevante KI-Anwendungsfälle erkennst und die KI als echten Sparringspartner nutzt, um diese Realität werden zu lassen. Praxisnah, mit echten Beispielen und vollständig umsetzungsorientiert. Das Buch ist ein Geschenk, nur Versandkosten von 9,95 € fallen an. Perfekt für Anfänger und Fortgeschrittene, die mit KI ihr Potenzial ausschöpfen möchten. Das Buch in deinen Briefkasten ... https://koerting-institute.com/shop/buch-mit-jedem-prompt-ein-wow/ Die KI-Lounge ... unsere Community für den Einstieg in die KI (>2800 Mitglieder) Die KI-Lounge ist eine Community für alle, die mehr über generative KI erfahren und anwenden möchten. Mitglieder erhalten exklusive monatliche KI-Updates, Experten-Interviews, Vorträge des KI-Speaker-Slams, KI-Café-Aufzeichnungen und einen 3-stündigen ChatGPT-Kurs. Tausche dich mit über 4.000 KI-Enthusiasten aus, stelle Fragen und starte durch. Initiiert von Torsten & Birgit Koerting, bietet die KI-Lounge Orientierung und Inspiration für den Einstieg in die KI-Revolution. Hier findet der Austausch statt ... www.koerting-institute.com/ki-lounge/ Starte mit uns in die 1:1 Zusammenarbeit Wenn du direkt mit uns arbeiten und KI in deinem Business integrieren möchtest, buche dir einen Termin für ein persönliches Gespräch. Gemeinsam finden wir Antworten auf deine Fragen und finden heraus, wie wir dich unterstützen können. Klicke hier, um einen Termin zu buchen und deine Fragen zu klären. Buche dir jetzt deinen Termin mit uns ... www.koerting-institute.com/termin/ Weitere Impulse im Netflix Stil ... Wenn du auf der Suche nach weiteren spannenden Impulsen für deine Selbstständigkeit bist, dann gehe jetzt auf unsere Impulseseite und lass die zahlreichen spannenden Impulse auf dich wirken. Inspiration pur ... www.koerting-institute.com/impulse/ Die Koertings auf die Ohren ... 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Hunde drücken mit Hilfe von Knöpfen ihre Gefühle aus. Katzen passen ihre Sprache ihren Besitzern an und lernen Wörter schneller als Kleinkinder. Unsere Haustiere sind Meister der Kommunikation. Nur: Verstehen wir sie auch? Und ist gar Dialog möglich? Vor 50 Jahren war klar: Einen Hund erzieht man mit Dominanz. Ein Pferd mit militärischer Disziplin. Eine Katze gar nicht. Auf die Bedürfnisse der Tiere wurde meist wenig Rücksicht genommen. Jüngere Forschung zeigt jedoch, wie intelligent und einfühlsam unsere Haustiere sind. Und wieviel sie uns täglich mitteilen. So synchronisieren sich Hirnwellen von Hunden und ihren Besitzerinnen, wenn sie sich miteinander beschäftigen. Und Katzen setzen gezielt Miau-Laute ein, um mit ihren Menschen zu kommunizieren. Unsere Haustiere können ihre Bedürfnisse also sehr gut ausdrücken – und ihre Menschen verstehen sie je länger je besser, sofern sie sich die Mühe machen, die Sprache zu lernen. Ist also nicht nur Kommunikation, sondern gar Dialog möglich? Was bedeutet dies für das Verhältnis von Mensch und Tier? Und ist es überhaupt noch ethisch, Haustiere zu halten? Diesen Fragen geht die Sendung «Perspektiven» nach – mit Katzenexperte und Doyen der Verhaltensforschung Dennis C. Turner, Hundetrainerin Maxi Lotz (Martin Rütter Hundeschule Zürich Oberland) und Tierethikerin Judith Benz-Schwarzburg (Messerli Forschungsinstitut für Mensch-Tier-Beziehung der Veterinärmedizinischen Universität Wien). Autorin: Nicole Freudiger
On this week's Catholic Forum epsiode - another installment showcasing One Of Us from The Dialog to our radio lisenters on AM 640. For this edition, Joe Owens interviews Porsha Harvey, Senior Manager of Basic Needs at Catholic Charities of the Diocese of Wilmington and Leslie Williams, who as this Summer, retired after many years serving as a coordinator for the Basic Needs Program. To learn more about Catholic Charities of the Diocese of Wilmington, visit ccwilm.org. And if you have a suggestion for a One of Us feature - reach out to Joseph P. Owens, Editor and Manager of The Dialog at jowens@thedialog.org. As always, listen to the complete audio version of Catholic Forum on Apple, Spotify, iHeartRadio or Amazon Music podcasts. If you're in Delmarva or South Jersey you can also listen on Saturdays at 1:30 PM on Relevant Radio 640. Catholic Forum is a production of the Office of Communication of the Diocese of Wilmington (supported by the Faith and Charity Appeal!) Please like, subscribe and share.
Werden wir von Social Media beeinflusst, ohne es zu merken? In "wurden wir schon geinfluenced?" werfen wir einen Blick auf Instagram, Facebook, YouTube und andere Plattformen und hinterfragen unseren eigenen Umgang mit ihnen. Zwischen Trends, Empfehlungen und ständigem Scrollen diskutieren wir, ob Social Media unser Leben bereichert - oder ob sich bereits gewisse Abhängigkeiten entwickelt haben. Viel Spaß beim Zuhören. Eure Marion & Euer Manuel!
Etienne de la Boétie² discusses how the newly revealed Dialog society, which has been around since 2006, likely is the next version of Bilderberg and Trilateral Commission. He argues that these groups together with government represent an illegitimate system of organized crime designed to steal wealth through weaponized inflation and the banking system's ability to create money from nothing. The conversation highlights figures like Peter Thiel who bridge the gaps between intelligence agencies and high-tech surveillance firms like Palantir. They manufacture corporate and political “legends” like JD Vance. These organizations maintain power by controlling the manufactured consensus through media ownership and algorithmic censorship on social media. Ultimately, these groups use economic warfare to impoverish the middle class while consolidating resources for a techno-feudalist future. Watch on BitChute / Brighteon / Rumble / Substack / YouTube *Support Geopolitics & Empire! Become a Member https://geopoliticsandempire.substack.com Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation **Listen Ad-Free for $4.99 a Month or $49.99 a Year! Apple Subscriptions https://podcasts.apple.com/us/podcast/geopolitics-empire/id1003465597 Supercast https://geopoliticsandempire.supercast.com ***Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics American Gold Exchange https://www.amergold.com/geopolitics Escape The Technocracy (15% off w/ GEOPOLITICS!) https://escapethetechnocracy.com/geopolitics Expat Money (FREE “WW3 Plan-B” Report!) https://expatmoney.com/geopolitics PassVult https://passvult.com Sociatates Civis https://societates-civis.com StartMail https://www.startmail.com/partner/?ref=ngu4nzr Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Art of Liberty https://artofliberty.org Art of Liberty Substack https://artofliberty.substack.com Story Behind Dialog https://artofliberty.substack.com/p/cia-contractor-peter-thiels-secret About Etienne de la Boetie2 Etienne de la Boetie2 is the founder of the Art of Liberty Foundation, and the editor of the Art of Liberty Daily News on Substack and Five Meme Friday, which delivers hard-hitting voluntaryist memes and the best of the alternative media. He is an internationally recognized expert and speaker on voluntaryism and government illegitimacy, criminality and corruption. His original writings and research can be found at ArtOfLiberty.org and ArtOfLiberty.Substack.com He is the author of To See the Cage Is to Leave It – 25 Techniques the Few Use to Control the Many which exposes an inter-generational psychological operation by the “government,” Hollywood, and the monopoly media to indoctrinate the population with the pseudo-religion of Statism using dozens of unethically manipulative techniques ranging from subliminal content in television programming to a hidden curriculum in the mandatory “government” schools, scouting, and police/military training. He has also authored: “Government” – The Biggest Scam in History… Exposed! which breaks down how inter-generational organized crime centered around banking and central banking is robbing and controlling the population using the technique of “government” with puppet politicians and monopoly media/academia. His upcoming book: Voluntaryism – How the Only “ISM” Fair for Everyone Leads to Harmony, Prosperity and Good Karma for All! explains how REAL freedom (voluntaryism) can provide all the legitimate non-redistributive services provided by “government” without the waste, fraud, abuse, indoctrination and extortion. He was also the author and principal investigator for the monographs: The Covid-19 Suspects and Their Ties to Eugenics and Population Control/Reduction and Solving Covid – The Covid 19, Eugenics, and Vaccine/Drug Scam Timeline. *Podcast intro music used with permission is from the song “The Queens Jig” by the fantastic “Musicke & Mirth” from their album “Music for Two Lyra Viols”: http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)
▶️ Gratis Ernährungsplan sichern + Zugang in geheime Gruppe: https://mrbroccoli.klicktipp.site/✨ Mehr Infos zu Susanne Lohrey: https://lohrey-training.deDu willst mehr erfahren? Schreibe eine E-Mail an: christian@christian-wenzel.com✨ Mehr mr.broccoli:BlogYouTubeInstagramTelegram-Community (für besonders brisante Themen)NewsletterDISCLAIMER:Die auf dem YouTube-Kanal „mr.broccoli“ bereitgestellten Inhalte, einschließlich Videos, Beschreibungen und weiterer Veröffentlichungen, dienen ausschließlich der allgemeinen Information, Inspiration, Bildung und Unterhaltung. Sie stellen keine medizinische Beratung, Diagnose oder Therapieempfehlung dar.Alle Inhalte basieren auf sorgfältiger Recherche sowie persönlichen Erfahrungen und Meinungen, ersetzen jedoch nicht die individuelle ärztliche Beratung, Diagnose oder Behandlung durch qualifizierte Gesundheitsfachkräfte. Die Umsetzung von Informationen aus unseren Videos erfolgt auf eigenes Risiko. Bei gesundheitlichen Beschwerden oder Fragen zur Einnahme von Nahrungsergänzungsmitteln, Therapien oder Lebensstilveränderungen sollte stets ärztlicher Rat eingeholt werden. Setze niemals ärztlich verschriebene Medikamente eigenmächtig ab. Der Inhaber des Kanals übernimmt keine Haftung für etwaige Schäden oder Verluste, die durch die Nutzung oder Nichtnutzung der von den Interviewpartnern oder durch mr.broccoli bereitgestellten Informationen entstehen. Vergangene Erfahrungen oder genannte Beispiele in Interviews stellen keine Garantie für zukünftige Ergebnisse dar – jeder Körper ist einzigartig und reagiert individuell. Wichtig: Auch wenn wir bestrebt sind, Inhalte aktuell und wissenschaftlich fundiert zu gestalten, können sich Erkenntnisse im Laufe der Zeit ändern. Die eine "Wahrheit" gibt es in der Wissenschaft nicht, sie ist immer individuell und zu komplex in ihrer Gesamtheit, um sie mit einem Video vollständig zu beleuchten.mr.broccoli steht für Aufklärung, gesunden Menschenverstand und Eigenverantwortung – aber nicht für medizinische Heilsversprechen. Bleib neugierig, kritisch und im Dialog mit deinem Körper und deinem Arzt.
Unter Vermittlung der US-First-Lady hat sich ein Weg eröffnet, der ukrainische Kinder aus Russland zu ihren Familien zurückbringt. Bereits vier Mal kam es zu einem solchen Schritt. Die Aktionen sind ein Beispiel dafür, dass direkter Dialog und humanitärer Pragmatismus funktionieren können, wo Konfrontation scheitert. Von Howard Fine
Poczucie niesprawiedliwości to, jak wynika z badań, jedna z głównych przyczyn konfliktów społecznych. Dlatego warto przyjrzeć się mechanizmom, które wciągają nas w destrukcyjne interakcje, zwłaszcza że potrzebujemy znacznie mniej energii, by wejść w konflikt, niż by z niego wyjść.
„Die Marke in ein neues Zeitalter zu führen war ein sehr umfassender Prozess, der nicht ganz reibungslos war, aber Reibung braucht es. Die erzeugt auch Energie.“ - Dr. Viktoria Veider-WalserGanzjahresstrategien sind für alpine Destinationen alternativlos. Seit über 10 Jahren wird in Kitzbühel ganz spezifisch an der ganzjährigen Attraktivierung des Produktportfolios gefeilt. In dieser Folge von „Be/rgegnungen“ spricht Dr. Viktoria Veider-Walser, Geschäftsführerin von Kitzbühel Tourismus, darüber. Zudem zieht sie Bilanz über das damit verbundene und viel diskutierte Rebranding vor rund zwei Jahren und berichtet über die Strahlkraft neuer Events wie den Austrian Alpine Open im Rahmen der DP World Tour. Das Golfturnier feierte vor Kurzem seine Premiere und brachte viele Besucher und unbezahlbare Werbung. Dr. Veider-Walser erklärt auch, warum der Dialog mit allen im Lebensraum für eine zukunftsfähige Destination von essenzieller Bedeutung ist.Es geht um zentrale Fragen:Wie gelingt es, Tradition und Innovation miteinander zu verbinden?Welche Rolle übernehmen Tourismusorganisationen künftig im Lebensraum? Wie können alpine Regionen ihre Marke stärken, ohne dabei ihre Identität zu verlieren?
▶️ Gratis Ernährungsplan sichern + Zugang in geheime Gruppe: https://mrbroccoli.klicktipp.site/✨ Mehr Infos zu John Schwitzer: https://john-switzer.deDu willst mehr erfahren? Schreibe eine E-Mail an: christian@christian-wenzel.com✨ Mehr mr.broccoli:BlogYouTubeInstagramTelegram-Community (für besonders brisante Themen)NewsletterDISCLAIMER:Die auf dem YouTube-Kanal „mr.broccoli“ bereitgestellten Inhalte, einschließlich Videos, Beschreibungen und weiterer Veröffentlichungen, dienen ausschließlich der allgemeinen Information, Inspiration, Bildung und Unterhaltung. Sie stellen keine medizinische Beratung, Diagnose oder Therapieempfehlung dar.Alle Inhalte basieren auf sorgfältiger Recherche sowie persönlichen Erfahrungen und Meinungen, ersetzen jedoch nicht die individuelle ärztliche Beratung, Diagnose oder Behandlung durch qualifizierte Gesundheitsfachkräfte. Die Umsetzung von Informationen aus unseren Videos erfolgt auf eigenes Risiko. Bei gesundheitlichen Beschwerden oder Fragen zur Einnahme von Nahrungsergänzungsmitteln, Therapien oder Lebensstilveränderungen sollte stets ärztlicher Rat eingeholt werden. Setze niemals ärztlich verschriebene Medikamente eigenmächtig ab. Der Inhaber des Kanals übernimmt keine Haftung für etwaige Schäden oder Verluste, die durch die Nutzung oder Nichtnutzung der von den Interviewpartnern oder durch mr.broccoli bereitgestellten Informationen entstehen. Vergangene Erfahrungen oder genannte Beispiele in Interviews stellen keine Garantie für zukünftige Ergebnisse dar – jeder Körper ist einzigartig und reagiert individuell. Wichtig: Auch wenn wir bestrebt sind, Inhalte aktuell und wissenschaftlich fundiert zu gestalten, können sich Erkenntnisse im Laufe der Zeit ändern. Die eine "Wahrheit" gibt es in der Wissenschaft nicht, sie ist immer individuell und zu komplex in ihrer Gesamtheit, um sie mit einem Video vollständig zu beleuchten.mr.broccoli steht für Aufklärung, gesunden Menschenverstand und Eigenverantwortung – aber nicht für medizinische Heilsversprechen. Bleib neugierig, kritisch und im Dialog mit deinem Körper und deinem Arzt.
Warum bist du manchmal so hart zu dir selbst? Warum ist die innere Kritikerin so laut, während ein anderer Teil von dir eigentlich frei, mutig, vertrauensvoll und voller Selbstliebe leben möchte?In dieser Folge tauchen wir gemeinsam in die Anteilsarbeit ein. Du erfährst, warum verschiedene innere Anteile in dir existieren, wie sie durch Erfahrungen, Verletzungen und alte Schutzstrategien entstehen und warum selbst deine innere Kritikerin, die Perfektionistin oder die Ängstliche ursprünglich versuchen, dich zu schützen.In dieser Folge geht es darum:✨ welche inneren Anteile in dir leben und wie du sie erkennen kannst✨ warum deine innere Kritikerin nicht deine ganze Identität ist✨ welche Schutzfunktion hinter Selbstkritik, Angst und Perfektionismus steckt✨ wie du zwischen einer guten Absicht und einer hilfreichen Wirkung unterscheidest✨ welches Bedürfnis hinter Kontrolle, Anpassung oder Essstörungsverhalten liegen kann✨ wie du mit deinen Anteilen in einen inneren Dialog gehst✨ wie deine innere beste Freundin wieder mehr Raum bekommen darfEine Folge über Anteilsarbeit, innere Anteile, Selbstkritik, negative Gedanken, Perfektionismus, Angst, Selbstwert und Essstörung Recovery – und über die befreiende Erkenntnis: Du bist nicht deine innere Kritikerin. Sie ist ein Teil von dir, aber sie ist nicht dein ganzes Sein.
In Simbabwe gibt es gerade einmal 19 Psychiater – aber mehr als 4000 Grossmütter, geschult in den Grundlagen der Gesprächstherapie. Auf einfachen Holzbänken bieten die «Gogos» niederschwellige Hilfe bei psychischen Problemen an. Kann Psychotherapie so funktionieren? Dixon Chibanda ist Psychiater in Harare, der Hauptstadt Simbabwes. 2005 erhält er einen Anruf. Es ist die Mutter von Erica, einer seiner Patientinnen. Erica habe sich das Leben genommen. «Jeder Suizid ist ein Albtraum», sagt Chibanda. Doch dieser traf ihn besonders tief. Ericas Zustand hatte sich seit längerem verschlechtert, und sie hatten vereinbart, dass sie so bald wie möglich zu ihm in die Klinik kommen sollte. In der Zwischenzeit lebte Erica jedoch 200 Kilometer von Harare entfernt. Reflexartig fragte er die Mutter: «Warum seid ihr nicht wie vereinbart zu mir gekommen?», erinnert sich Chibanda. Die Antwort der Mutter war knapp: «Wir hatten kein Geld für die Busfahrt.» Ein Satz, der bei Dixon Chibanda nachhallte. «Was ist meine Rolle als Psychiater in einem der ärmsten Länder der Welt?» Chibanda wusste: «Wir müssen Psychotherapie neu denken. Wir müssen die Therapie raus aus den Kliniken und zu den Leuten bringen.» So entstand die Idee mit den Grossmüttern, die auf einfachen Holzbänken, dem «Friendship-Bench», in ihren jeweiligen Communities Gesprächstherapie anbieten. Wie funktioniert das? Autorin: Anna Jungen
Evropská komise minulý týden vydala svoji výroční zprávu o stavu právního státu v zemích Evropské unie. Komise pochválila stav českého soudnictví, není ale spokojena s tuzemským řešením střetu zájmů. Kritizuje rovněž vládní záměry změnit financování veřejnoprávních médií. Jak zprávu chápat? Vladimír Kroc se zeptal vedoucí zastoupení Evropské komise v České republice Moniky Ladmanové.Všechny díly podcastu Dvacet minut Radiožurnálu můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.
Antje Heimsoeth Podcast - Erfolg I Motivation I Leadership I Mentale Stärke im Verkauf
In dieser Podcast-Episode, aufgenommen Anfang Juli 2026, spreche ich über den Umgang mit Niederlagen. Ich erkläre, warum es wichtig ist, Emotionen zuzulassen und den eigenen Wert nicht an Leistung zu koppeln. Im zweiten Teil gibt sie konkrete Übungen zur Stärkung der mentalen Stärke, wie Visualisierung, Selbstreflexion und Atemtechniken. Key Takeaways Niederlagen verarbeiten: Nach einer Niederlage registriert das Gehirn den Misserfolg als bedeutsam und löst Emotionen wie Enttäuschung, Frust oder Scham aus. Diese Reaktion ist eine menschliche Schutzfunktion und kein Zeichen von Schwäche. Leistung und Person trennen: Eine Niederlage beantwortet nicht die Frage, ob man gut genug ist, sondern nur, wie es an diesem Tag gelaufen ist. Wer den Selbstwert eng an das Ergebnis koppelt, gerät leicht in eine Spirale aus Selbstzweifeln. Es ist wichtig, zwischen der eigenen Person und der erbrachten Leistung zu unterscheiden, um langfristig Resilienz aufzubauen. Guter vs. schlechter Verlierer: Ein guter Verlierer nimmt die Niederlage ernst, lernt daraus und behält seinen Selbstwert. Ein schlechter Verlierer definiert sich vollständig über Sieg oder Niederlage, sucht die Schuld bei anderen oder wertet sich selbst ab. Verlieren zu können bedeutet nicht, Niederlagen gleichgültig hinzunehmen, sondern sich nicht dauerhaft von ihnen definieren zu lassen. Mentale Stärke definieren: Mentale Stärke bedeutet, am Tag X die bestmögliche Leistung abzurufen – unabhängig von inneren und äußeren Störfaktoren. Dazu gehören Selbstvertrauen, Entspannungsfähigkeit, emotionale Selbstregulation, Konzentrationsfähigkeit, Resilienz und die Bereitschaft, aus Fehlern zu lernen. Mentale Stärke heißt nicht, keine Selbstzweifel zu haben, sondern trotzdem zielgerichtet zu handeln. Ziele setzen: Ziele geben Orientierung, schaffen Motivation und machen Fortschritte messbar. Sie sollten realistisch, konkret, attraktiv und positiv formuliert sein, um eine motivierende Wirkung zu entfalten. Ohne Ziele kann man nicht überprüfen, ob die täglichen Handlungen wirklich zum gewünschten Ziel führen. Visualisierung: Visualisierung hilft, sich wichtige Situationen wie Gespräche, Verhandlungen oder Präsentationen gedanklich vorzustellen und erfolgreich zu meistern. Man kann sich auch vorstellen, wie man nach einem Rückschlag in einen ressourcenvollen Zustand zurückkehrt. Nur was man sich vorstellen kann, kann man erreichen. Selbstreflexion praktizieren: Selbstreflexion sollte mindestens einmal pro Woche durchgeführt werden, um Erfolge und Lernerfahrungen handschriftlich zu notieren. Dabei geht es nicht darum, sich auf Fehler zu konzentrieren, sondern aus ihnen zu lernen und zu prüfen, welche Informationen oder Fähigkeiten noch fehlen. Atemübungen nutzen: Achtsamkeits- und Atemübungen wie die tiefe Bauchatmung sind einfache, aber effektive Methoden zur Stressregulation. Beim Einatmen geht der Bauch nach außen, und das Ausatmen sollte doppelt so lang sein wie das Einatmen. Diese Techniken sind jederzeit und ohne Hilfsmittel anwendbar. Inneren Dialog gestalten: Der innere Dialog sollte bewusst konstruktiv gestaltet werden, besonders wenn man Leistung abrufen möchte. Komfortzone erweitern: Regelmäßige kleine Herausforderungen, wie einen anderen Weg zur Arbeit zu nehmen, stärken das Selbstvertrauen. Jede gemeisterte Situation festigt das Vertrauen in die eigenen Fähigkeiten. Rituale im Alltag: Rituale wie ein Feierabendritual geben Sicherheit und Stabilität, besonders in stressigen Zeiten. Das Notieren von mindestens drei Dingen, die gut gelungen sind, hilft, den Fokus auf Erfolge zu lenken. Routinen sind nicht nur für Spitzensportler wichtig. Bequemlichkeit überwinden: Das größte Hindernis für Erfolg ist oft Bequemlichkeit oder das Warten auf den perfekten Zeitpunkt. Wer Erfolg haben möchte, muss akzeptieren, dass Fehler zum Lernprozess gehören. E-Book „Mental Hacks: Mentale Stärke aufbauen“ jetzt herunterladen: https://www.heimsoeth-academy.com/ebook-mentale-staerke/ Wem die Folge gefallen hat – mein Podcast und ich freuen sich über eine ⭐⭐⭐⭐⭐-Bewertung, Abos und/oder eine Rezension auf Apple Podcasts bzw. Spotify. Danke! Der Beitrag Gewinnen. Verlieren. – Mentale Stärke für Gewinnertypen erschien zuerst auf Heimsoeth Academy.
▶️ Gratis Ernährungsplan sichern + Zugang in geheime Gruppe: https://mrbroccoli.klicktipp.site/✨ Mehr Infos zu Viola Schalski: https://www.hauptstadt-heilpflanzen.deDu willst mehr erfahren? Schreibe eine E-Mail an: christian@christian-wenzel.com✨ Mehr mr.broccoli:BlogYouTubeInstagramTelegram-Community (für besonders brisante Themen)NewsletterDISCLAIMER:Die auf dem YouTube-Kanal „mr.broccoli“ bereitgestellten Inhalte, einschließlich Videos, Beschreibungen und weiterer Veröffentlichungen, dienen ausschließlich der allgemeinen Information, Inspiration, Bildung und Unterhaltung. Sie stellen keine medizinische Beratung, Diagnose oder Therapieempfehlung dar.Alle Inhalte basieren auf sorgfältiger Recherche sowie persönlichen Erfahrungen und Meinungen, ersetzen jedoch nicht die individuelle ärztliche Beratung, Diagnose oder Behandlung durch qualifizierte Gesundheitsfachkräfte. Die Umsetzung von Informationen aus unseren Videos erfolgt auf eigenes Risiko. Bei gesundheitlichen Beschwerden oder Fragen zur Einnahme von Nahrungsergänzungsmitteln, Therapien oder Lebensstilveränderungen sollte stets ärztlicher Rat eingeholt werden. Setze niemals ärztlich verschriebene Medikamente eigenmächtig ab. Der Inhaber des Kanals übernimmt keine Haftung für etwaige Schäden oder Verluste, die durch die Nutzung oder Nichtnutzung der von den Interviewpartnern oder durch mr.broccoli bereitgestellten Informationen entstehen. Vergangene Erfahrungen oder genannte Beispiele in Interviews stellen keine Garantie für zukünftige Ergebnisse dar – jeder Körper ist einzigartig und reagiert individuell. Wichtig: Auch wenn wir bestrebt sind, Inhalte aktuell und wissenschaftlich fundiert zu gestalten, können sich Erkenntnisse im Laufe der Zeit ändern. Die eine "Wahrheit" gibt es in der Wissenschaft nicht, sie ist immer individuell und zu komplex in ihrer Gesamtheit, um sie mit einem Video vollständig zu beleuchten.mr.broccoli steht für Aufklärung, gesunden Menschenverstand und Eigenverantwortung – aber nicht für medizinische Heilsversprechen. Bleib neugierig, kritisch und im Dialog mit deinem Körper und deinem Arzt.
"To nie jest starcie, to dialog" - mówiła Jolanta Sobierańska-Grenda w Porannej rozmowie w RMF FM o proponowanych limitach zarobków dla medyków. Dziś rząd ma się zająć pierwszymi rozporządzeniami przygotowanymi przez Ministerstwo Zdrowia. Wśród planowanych zagadnień: wynagrodzenia i czas pracy lekarzy. Propozycja jest taka, by medycy zarabiali do 240 zł brutto za godzinę. "Celem jest przeznaczanie większych środków na leczenie pacjentów" - podkreślała Jolanta Sobierańska-Grenda.
Prezident Petr Pavel byl jedním z nejočekávanějších hostů diskusního fóra Meltingpot na festivalu Colours of Ostrava, kde si s moderátorem Radiožurnálu Liborem Boučkem povídal o kultuře, společnosti i aktuální politice. Zdůraznil, že právě umění a společné kulturní zážitky dokážou překlenovat názorové rozdíly a vytvářet prostor pro dialog.Všechny díly podcastu Host Radiožurnálu můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.
Prezident Petr Pavel byl jedním z nejočekávanějších hostů diskusního fóra Meltingpot na festivalu Colours of Ostrava, kde si s moderátorem Radiožurnálu Liborem Boučkem povídal o kultuře, společnosti i aktuální politice. Zdůraznil, že právě umění a společné kulturní zážitky dokážou překlenovat názorové rozdíly a vytvářet prostor pro dialog.Všechny díly podcastu Host Radiožurnálu můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.
Prezident Petr Pavel byl jedním z nejočekávanějších hostů diskusního fóra Meltingpot na festivalu Colours of Ostrava, kde si s moderátorem Radiožurnálu Liborem Boučkem povídal o kultuře, společnosti i aktuální politice. Zdůraznil, že právě umění a společné kulturní zážitky dokážou překlenovat názorové rozdíly a vytvářet prostor pro dialog.
Zukunft beginnt dort, wo Menschen mitgestalten. In dieser Folge von „Zukunft gestalten“ geht es um junge Menschen und ihre Einstellung zur Demokratie. Und damit um gute Nachrichten: Denn junge Menschen wollen sich engagieren, sie schauen nach vorn. Sie blicken positiver in die Zukunft als ihre Eltern und Großeltern. Und deshalb sind sie starke Verbündete einer zukunftsfähigen Demokratie. Das zeigt unsere gerade veröffentlichte Studie „Demokratie braucht Zukunft“. Regina von Görtz, Demokratie-Expertin der Bertelsmann Stiftung, und Zukünfte-Expertin Isabella Hermann sprechen mit den Hosts Malva Sucker und Jochen Arntz über diese Studie und darüber, wie junge Menschen besser eingebunden werden können, warum sie der Demokratie positiver gegenüberstehen als ältere Generationen und ob irgendwann die Zukunft von der Jugend aus gedacht wird. Kapitelübersicht: 00:00 Die junge Generation und ihre Zukunftsperspektiven 04:18 Optimismus und Demokratie: Ein Blick auf die Studie 10:14 Beteiligung der Jugend: Herausforderungen und Lösungen 12:25 Zukunftsvisionen: Utopien und Inspirationen aus der Science-Fiction 18:46 Die Stimme der Jugend 19:59 Zukunftsvisionen und gesellschaftliche Initiativen 23:22 Räume für den Dialog schaffen 27:37 Die Rolle der Jugend in der Politik Weiterführende Links: Demokratie braucht Zukunft https://www.bertelsmann-stiftung.de/de/publikationen/publikation/did/einwurf-062026-demokratie-braucht-zukunft Demokratie-Monitor https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2026/zustimmung-zur-liberalen-demokratie-in-deutschland-bleibt-sehr-hoch https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2022/maerz/grosse-mehrheit-der-bevoelkerung-unterstuetzt-humanitaere-hilfe-fuer-die-ukraine Gaming und Demokratie https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2025/august/das-demokratische-potenzial-von-gaming-communitys-besser-nutzen https://www.bertelsmann-stiftung.de/de/unsere-projekte/junge-menschen-und-gesellschaft/projektnachrichten/gaming-for-democracy Einsamkeit https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2026/ministerpraesident-hendrik-wuest-besichtigt-betheler-hilfeprojekt-gegen-einsamkeit https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2025/mai/die-einsamkeit-junger-menschen-ist-eine-gefahr-fuer-die-demokratie Change Learning https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2026/erster-change-learning-award-geht-an-lupe2-und-bildungsland-sachsen-2030 Weiteres https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2026/warum-junge-menschen-seltener-waehlen-und-was-dagegen-hilft https://www.bertelsmann-stiftung.de/de/themen/aktuelle-meldungen/2025/social-media-sind-essenziell-um-junge-menschen-mit-politischen-themen-zu-erreichen https://www.bertelsmann-stiftung.de/de/publikationen/publikation/did/waehlen-ab-16 https://www.bertelsmann-stiftung.de/de/unsere-projekte/engagement-junger-menschen-fuer-demokratie/projektnachrichten/algorithmen-im-wahlkampf Wir verarbeiten im Zusammenhang mit dem Angebot unserer Podcasts Daten. Wenn Sie der automatischen Übermittlung der Daten widersprechen wollen, melden Sie sich hier: datenschutz@julep.de
In dieser Folge sprechen wir mit Dr.in Judith Stummer-Kolonovits vom Verein NEUSTART und Mag. Bernd Ziska, Staatsanwalt, über alternative Reaktionsformen nach Straftaten: Sie erklären das Prinzip „Restorative Justice“ und was Konfliktregelung damit zu tun hat. Unsere Gäste schildern, wie Diversion, Tatausgleich, Opfer‑Täter:innen‑Dialog und gemeinnützige Leistungen funktionieren und wie Opfer von Straftaten mehr Raum für die eigenen Bedürfnisse bekommen können. Außerdem geht es darum, welche Bedeutung Verantwortungsübernahme und Wiedergutmachung haben; gerade in der Zusammenarbeit mit straffällig gewordenen Menschen und jenen, die Opfer geworden sind, kann damit ein echter Neuanfang gelingen. Warum es hier auch um einen wichtigen gesellschaftlichen Wert geht, erfahrt ihr wie immer in dieser Folge von „Recht neugierig“.
Tipping Points schaffen neue Realitäten - was sich langsam anbahnte, definiert auf einmal Unternehmen, Märkte und Gesellschaften neu. Tipping Points pirschen sich leise an. Um dann auf einmal durchzustarten, oder auch eben manchmal nicht. Und plötzlich kippt alles gleichzeitig. Künstliche Intelligenz ist längst im Alltag angekommen, Kundenbedürfnisse werden nicht mehr von Menschen, sondern von Agenten verhandelt, ganze Wertschöpfungsketten lösen sich auf, Plattformen kämpfen um Souveränität, und die Frage, wie viel Mensch in der Schleife noch nötig ist, wird drängender denn je. Vor zehn Jahren haben wir mit #digdeep begonnen, diese digitalen Veränderungen unter die Lupe unseres Podcasts zu nehmen. Wie ein Seismograph zu schauen, was und wer die Digitalisierung vorantreibt. Und wir haben einige Prognosen gewagt: Vor fünf Jahren haben wir in unserem Buch "Die digitale Herausforderung" fünf Tipping Points formuliert, die aus unserer Sicht die Zukunft verändern. Aber lagen wir mit unser Einschätzung richtig? Zeit also, einen Blick zurück und nach vorne zu werfen. Und wir haben fünf Podcast-Gäste eingeladen, uns einen kurzen Blick auf das zu werfen, was sich bei ihnen verändert hat und verändern wird. Irene Kilubi, Julia Urbahn, Manuel Eugster und Walter Rademacher melden sich mit persönlichen Botschaften - und die KI. Denn wir waren der erste deutschsprachige Podcast, der ChatGPT im Postcast als Gast hatte. Und da wollen wir doch wissen: Brauchen wir in Zukunft überhaupt noch menschliche Podcast-Hosts wie uns? Wir sind gespannt, was euer Feedback dazu ist. Welche Themen wollt ihr in #digdeep hören?Was können wir besser machen? Welche Gäste sollen wir einladen? Wir freuen uns auf den Dialog mit euch - ihr seid der Grund für #digdeep!
Corinna Gratzl und Julia Klass sind Designerinnen und Gründerinnen des Designstudios In Search Of. Zuletzt kuratierten und gestalteten sie die Ausstellung dreams, ideas & prototypes des WDC-Campus, einem der zentralen Zukunftsprojekte der World Design Capital Frankfurt RheinMain 2026. Kennengelernt haben sich die beiden während ihres Masterstudiums in Kommunikationsdesign am Bodensee. Corinna Gratzl (*1997) studierte zuvor Innenarchitektur an der Akademie der Bildenden Künste München und arbeitete anschließend in den Bereichen Architektur, Kunst und Design in New York City und Berlin. Julia Klass (*1999) absolvierte einen Bachelor in Medienmanagement mit den Schwerpunkten Public Relations und Journalismus an der Technischen Hochschule in Würzburg. Berufliche Erfahrungen sammelte sie unter anderem im Bereich Corporate Communications sowie als Grafikdesignerin bei einem Schweizer Tech-Unternehmen. Mit ihrem Studio In Search Of verfolgen Corinna Gratzl und Julia Klass eine kollaborative Designpraxis, die von Neugier geprägt und vom jeweiligen Kontext geleitet wird. Im Dialog und durch kritische Reflexion entwickeln sie disziplinübergreifende Projekte, deren Form und Medium sich aus dem jeweiligen Inhalt ergeben. 2026 veröffentlichten sie außerdem das Buch Dialog Beyond Disciplines, erschienen im Verlag form in Frankfurt am Main. Herausgegeben wurde die Publikation von Barbara Glasner. Darin beschäftigen sich die beiden Designerinnen mit diszipinübergreifendem Gestalten und dem Wandel des Designbegriffs. Anhand von Interviews, Fotografien und Objektscans gibt das Buch Einblicke in die Arbeitsweisen internationaler Gestaltungsstudios und Expert:innen an den Schnittstellen verschiedener Disziplinen.
Ich mache mir oft Gedanken darüber, ob Geschichten jemals auserwählt sein können. Soli Kiani hat sich den Inhalt ihrer Kunst nicht ausgesucht. Das, was sie tut und wie sie es tut, ist alternativlos. Da ist kein bisschen Kalkulation spürbar. Wer tiefer eintaucht in die Biographie der in Wien lebenden Künstlerin, wird schnell erkennen, dass da eine Stimme erhoben wird, die behutsam und mit Bedacht daherkommt. Es ist eine Form des Protest, die den Dialog geradezu einfordert. Wer im Stande ist, die augenscheinliche Eleganz ihrer Werke außer Acht zu lassen, wird die tiefe Klarheit ihrer Bedeutung erkennen. Eine Ausstellung in der Dominikanerkirche in Krems bietet aktuell Gelegenheit dazu. Florian Steininger hat kuratiert und zeigt einmal mehr, was abseits der Metropole Wien alles möglich ist. Das Gespräch hat mich tief berührt und ich glaube das merkt man auch ... Fotocredit: Marcella Luiz Cruz Kontakt: redaktion@gieseundschweiger.at Redaktion: Alexander Giese Musik & Produktion: Matthias Jakisic Sprecherin: Sarah Scherer Cover: Markus Lettner
Hans-Jürgen Rösner und Dieter Degowski überfallen am 16. August 1988 eine Bank in Gladbeck. Auf ihrer anschließenden Irrfahrt durch Deutschland nehmen sie mehrere Geiseln. Während der Tat interviewen Reporter die Täter und ihre Opfer. Am Ende sind drei Menschen tot. Holger Schmidt und Mr. Strafrecht Thomas Fischer diskutieren über den spektakulären Fall, der sich tief in die deutsche Rechts- und Mediengeschichte eingeschrieben hat. Unser Podcast-Tipp: Freiheit deluxe mit Jagoda Marinić Zwei Formate, ein Kanal, auf dem im wöchentlichen Wechsel Freiräume entstehen: In "Freiheit Deluxe" trifft Jagoda Marinić Menschen, die Diskurse prägen. In "Marinićs Freiheit" analysiert sie Debatten jenseits der Empörung und für mehr Dialog. https://1.ard.de/freiheit-deluxe
Herzlich willkommen zu Ihrem morgendlichen Newsletter! Die aktuellen Entwicklungen in Politik, Wirtschaft und Gesellschaft erfordern unsere Aufmerksamkeit und Kompromissbereitschaft. Die Verabschiedung der Krankenkassenreform durch den Bundesrat Zeigt, wie hart um finanzielle Stabilität gerungen wird – verbunden mit schmerzhaften Einschnitten für die Bürger. Gleichzeitig verdeutlicht der Umbauplan von Volkswagen, dass traditionelle Geschäftsmodelle unter dem Druck globaler Konkurrenz und wirtschaftlicher Herausforderungen stehen. Dies löst tiefe Unsicherheiten in der Belegschaft aus. Auch auf politischer Ebene erleben wir Veränderungen. Der Rückzug Kai Wegners in Berlin macht deutlich, wie wichtig transparente und ehrliche Kommunikation für das Vertrauen der Wähler ist. All diese Ereignisse unterstreichen, dass in Zeiten des Umbruchs klare Strategien, Verantwortungsbewusstsein und ein offener Dialog unerlässlich sind, um die anstehenden Herausforderungen gemeinsam zu bewältigen und zukunftsfähige Lösungen zu finden.
Salutare tuturor și bine ați venit la o nouă ediție Vorbitorincii! Avem un episod încărcat cu povești de pe drumurile țării, cultură, dar și nelipsitul... fotbalamuc de la Campionatul Mondial. Apoi, construim o adevărată hartă din cuvinte a României alături de Sylvain Audet-Găinar, iar la rubrica Spuma filelor venim cu o listă serioasă de lecturi și impresii proaspete de la FITS și Grivița 53. Alături de scriitorul Sylvain Audet-Găinar, avem alți doi invitați de marcă: stăm de vorbă cu Cristina Uruc, directoarea Festivalului George Enescu, și cu Erwin Șimșensohn, directorul Teatrului de Stat Constanța. Rămâneți cu noi, avem multe de vorbit. 00:03:03 - Începem ediția cu aer de castel și muzică clasică: am fost la Jidvei pentru Turneul Stradivarius și vă spunem unde îl mai puteți asculta pe Alexandru Tomescu. Trecem rapid și prin amintirile picante ale lui Radu de la alegerile din '90, pedalăm virtual la Turul Ciclist al Sibiului alături de Radu Naum, aflăm povestea motanului „Schnitzel" și tragem concluziile după o întâlnire memorabilă cu publicul de la Timișoara 00:30:38 - O hartă din cuvinte a României. Cu Sylvain Audet-Găinar 01:50:23 - Spuma filelor vine cu următoarele recomandări: 80 mots de Roumanie de Sylvain Audet-Găinar, Degețelele de Gabriela Tabacu (carte pentru copii), Suveranismul în România. De ce votează oamenii cu politicieni extremişti? De Ionuț-Marian Anghel, Alina Pop, Filip Alexandrescu, Grădinarul și moartea de Gheorghi Gospodinov. Plus Balamuc la București, Țap ispășitor și Tămbălău la București, o trilogie semnată de Sylvain Audet-Găinar. Recomandăm Funny Games de la Grivița 53 și povestim ce-am văzut la FITS 02:21:49 - Dialog cu Cristina Uruc, Directorul Festivalului Internațional George Enescu 02:51:11 - Dialog cu Erwin Șimșensohn, Directorul Teatrului de Stat Constanța 03:24:08 - Fotbal și fotbalamuc de la Campionatul Mondial
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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
„Když se mluví, tak se dělá to mluvení. A je to docela levné točit – stačí, když posadíte lidi ke stolu, nebo je necháte se někudy procházet,“ pochvaluje si práci režiséra konverzačních snímků Bohdan Karásek. Ve společném rozhovoru s herečkami Taťjanou Medveckou a Marií Švestkovou představuje svůj nejnovější snímek Mistryně, který premiérově uvede Mezinárodní filmový festival Karlovy Vary.Všechny díly podcastu Host Radiožurnálu můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.
„Když se mluví, tak se dělá to mluvení. A je to docela levné točit – stačí, když posadíte lidi ke stolu, nebo je necháte se někudy procházet,“ pochvaluje si práci režiséra konverzačních snímků Bohdan Karásek. Ve společném rozhovoru s herečkami Taťjanou Medveckou a Marií Švestkovou představuje svůj nejnovější snímek Mistryně, který premiérově uvede Mezinárodní filmový festival Karlovy Vary.Všechny díly podcastu Host Radiožurnálu můžete pohodlně poslouchat v mobilní aplikaci mujRozhlas pro Android a iOS nebo na webu mujRozhlas.cz.
Uncovered by a hacker, the latest "Secret Society" has been exposed. Led by Peter Theil and others, it has been in operation for 6 years. What is it all about? What do they do? Who are they and how does it affect the rest of us? We have our thoughts on all of it.Email us at: downtherh@protonmail.com
Independent researcher Tonery Rose & political scientist & host of The American Exception Podcast, Aaron Good, return to Bad Faith to breakdown the story behind Peter Thiel's secret society, Dialog, and the various "conspiracies" that help to fill in the gaps in mainstream realpolitik analysis. But before I ask them to run through their favorite conspiracy theories, we run through the establishment meltdown over the Mamdani-slate's victory last week in New York from the ladies of The View, to James Carville. Subscribe to Bad Faith on YouTube for video of this episode. Find Bad Faith on Twitter (@badfaithpod) and Instagram (@badfaithpod). Produced by Armand Aviram. Theme by Nick Thorburn (@nickfromislands).
Devin Thomas O'Shea stops by to chat about his new book The Veiled Prophet: Secret Societies, White Supremacy, and the Struggle for St. LouisSupport the show at https://www.patreon.com/c/thiswreckagePeter Thiel's Dialog leak: https://www.wired.com/story/leak-exposes-members-of-peter-thiels-secretive-dialog-society/ Song: Bryan Ferry - In Your Mind
The Peter Thiel ‘Dialog' story becomes much darker when you connect it to Palantir, because this isn't merely a secretive billionaire discussion club where elites gather to talk about World War III, battlefield technologies, nuclear power, money, happiness, and cult-building. Thiel is the co-founder of Palantir, one of the most powerful data-fusion, military-AI, surveillance, and government-contracting companies in the world. So when his private network is reportedly discussing the future of war and society, we are not dealing with idle talk. We are looking at the same ecosystem where elite ideas become operational systems — where the powerful do not merely debate the future, they build the software, surveillance tools, battlefield platforms, and artificial intelligence machinery that governments and militaries increasingly depend on. This is the Beast System and the New World Order rolled into one.“For God hath put in their hearts to fulfil his will, and to agree, and give their kingdom unto the beast, until the words of God shall be fulfilled.” Revelation 17:17 (KJB)On this episode of the Prophecy News Podcast, Dialog is the private unseen table where the fate of nations are decided, and Palantir is the control grid to make it happen. One is where the ruling class talks about managing civilization; the other is where the data is gathered, fused, analyzed, and weaponized. This is exactly how the Beast System comes into view: not as one sudden event, but as the slow merger of money, military power, artificial intelligence, surveillance, politics, and private influence into one seamless machine. The Bible says the final system will touch all people, all classes, and all commerce, and that is precisely the direction the world is moving. Today we pull back the curtain, not with conspiracy theory, but with the proven superstructure that is Dialog, revealed by hackers, and just who the guests at this crazy end times table really are.
-Welch enters his Charles Nelson Reilly era-Laura Branigan, Happy Mondays, and songs you didn't know were covers-Puerto Rico's revenge-The cadres are closing in-Reihan Salam and Larry Flynt-DAC hits the media circuit and refuses to answer the easiest question in politics-Aber Kawas explains 9/11, in a Miss South Carolina sort of way-Vaporware word clouds masquerading as policy-No borders, no prisons, no TSA PreCheck… no joke-Nationalizing airlines, abolishing comfort, and calling it justice-Mamdani's machine, the DSA bench, and the Democratic Party's growing nervous breakdown-Polymarket vs. the polls-The internet is not a socialist invention, no matter how hard socialists try-Senate Republicans discover Trump skepticism several years too late-The SAVE Act tantrum and the incredible courage of people who already lost-Tucker, Trump, Iran, inflation, and the limits of MAGA obedience-Peter Thiel's terrifying secret network of people talking at conferences-Moynihan goes to Dialog and accidentally joins the Illuminati-Kmele reports back from the alleged cabal-Bohemian Grove was cooler because at least you had to break inPrefer to watch & chat live with other members of the Fifdom? This episode premieres over on our YouTube channel at 12PM EST.The Fifth Column (A Podcast) is a listener/viewer supported publication. To receive new posts and support our work, consider becoming a free or paid subscriber.Follow The Fifth ColumnYouTube: @wethefifthInstagram: @we.the.fifthX: @wethefifthTikTok: @wethefifthFacebook: @thefifthcolumn This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.wethefifth.com/subscribe
Actor/comedian Adam Conover joins to discuss Peter Thiel's invitation-only organization and a list of the all-time evil billionaires. Plus, a pair of weight-loss drug stories, drone warfare in Russia, and theories about the afterlife. In this episode: (00:00) Intro (3:02) Peter Thiel's "Dialog" (13:13) Jason's theory about Dialog (38:03) All-time evil billionaires (48:23) The Doomscroll: Ozempic hacked (50:51) New obesity drug in the White House? (53:09) Claude Mythos update (56:11) Ukrainian drones (1:02:23) The ghost of Dennis Hopper Hosts: Jason Concepcion and Tyler Parker Guest: Adam Conover Producers: Donnie Beacham and Justin Sayles Art direction: David Shoemaker Motion graphics and animations: Chris Calleton Engineering: Sarah Reddy Set design: Hannah Leiken and Jonathan Ratliff Additional Support: Dae Shik Kim Learn more about your ad choices. Visit podcastchoices.com/adchoices
This episode was deleted by YouTube without much explanation. Inside we discuss Peter Thiel's secretive Dialog group, Charlie Kirk's latest controversy, James Franco's bizarre disclosure video, and the 1000th episode of Tin Foil Hat lead this week's insanity. Plus: Keir Starmer is out, Lindsey Graham's latest war push, the White House joking about Q, Oliver Tree's interests, Trader Joe's tote-bag chaos, and anti-Rogan protesters proving once again that nobody understands Joe Rogan. Sam and Johnny break down the internet's strangest stories, media narratives, political theater, and conspiracy culture.Visit NOCD.com to book a free 15-minute call!For simple, online access to personalized and affordable care for Hair Loss, ED, Weight Loss, and more, visit Hims.com/BROKENSIM. For Sam's dates and more visit samtripoli.com!Get fifteen dollars off your first task at Taskrabbit dot com or on the Taskrabbit app using promo code BROKEN!Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/broken.More stuff: Get episodes early, and unedited, plus bonus episodes: patreon.com/brokensimulationSocial media: Twitter: @samtripoli, @johnnywoodard Instagram: @samtripoli, @johnnyawoodardBroken Simulation Hosts: Sam Tripoli, Johnny Woodard
Lenore and Jacob from the Worker's Lit show join us to talk about #AlgaeGate, Peter Thiel's secret society Dialog and their recent hack, more clip farming news, and more. Follow Worker's Lit: https://www.workerslit.com https://www.patreon.com/cw/WorkersLit https://bsky.app/profile/workerslit.bsky.social Support us: www.KillTheComputer.com www.Patreon.com/KillTheComputer
A Swiss hacktivist found a website's exposed code, and now the most powerful people on Earth are scrambling to explain why their names are in a secret society's leaked database. As a spokesperson for one actor named on the list said: "He'd like to know what the f-- he got himself into." Who are all these wealthy elites and why does it matter if they're rubbing elbows behind closed doors? This week's episode is Dialog: Peter Thiel's Secret Society.Click here for this week's show notes.Click here to sign up for our Patreon and receive hundreds of hours of bonus content.Please click here to leave a review and tell us what you think of the show.CRIMEWAVE AT SEA 2027 is happening Feb. 8-12, 2027! Tickets on Sale: Feb. 13, 2026 Get $100 off your stateroom and a private meet and greet with us! Go to http://crimewaveatsea.com/SINISTERPlease consider supporting the companies that support us!-To get your new wireless plan for just 15 bucks a month, go to MINTMOBILE.com/sinisterhood.-Ready to give your liver the support it deserves? Head to dosedaily.co/CREEPY or enter CREEPY to get 35% off your first subscription.-For a limited time, Nutrafol is offering our listeners $10 off your first month's subscription and free shipping when you visit Nutrafol.com and enter promo code CREEPY.
Co-hosts Jared Yates Sexton and Nick Hauselman review recent shifts in global politics. The discussion begins by examining the legacy of Alan Greenspan. They detail how his monetary policies and devotion to Ayn Rand laid the groundwork for modern neoliberalism. UK Leadership Collapse: Keir Starmer has resigned as Prime Minister amidst plummeting approval ratings. Jared and Nick explore how this signifies a broader rejection of centrist politics. Andrew Burnham is poised to potentially shift the Labour Party leftward. Vetting Failures: Attention then shifts to reports regarding Tulsi Gabbard. Her connections to Chris Butler and the Science of Identity Foundation highlight massive vetting failures within the Democratic Party. The conversation reveals how cult influence mirrors the mechanics of corporate think tanks. Soft Power: The episode scrutinizes Ezra Klein's defense of Peter Thiel's private Dialog conference. Jared breaks down the insidious nature of elite networking. Cults of Denial: Finally, they examine Donald Trump's claims about the Lincoln Memorial Reflecting Pool. Rather than accepting basic science regarding algae, the former president blames political subterfuge. This serves as a metaphor for the reality-denying nature of political cults. Support independent media by joining the Patreon community. Become a patron at patreon.com/muckrakepodcast to gain access to weekend episodes and keep the podcast editorially independent.
A Swedish hacktivist exposed Peter Thiel's secret club Dialog. Allison talks with Corbin Trent about the implications of Elon Musk becoming the world's first trillionaire on the widening gap between the elites and we the people. More from Corbin Trenthttps://www.americasundoing.com/ https://substack.com/@corbintrent https://bsky.app/profile/corbintrent.bsky.social Reminder - you can see the pod pics if you become a Patron. The good news pics are at the bottom of the show notes of each Patreon episode! That's just one of the perks of subscribing! patreon.com/muellershewrote Listener Survey:http://survey.podtrac.com/start-survey.aspx?pubid=BffJOlI7qQcF&ver=shortFollow the Podcast on Apple:https://apple.co/3XNx7ckWant to support the show and get it ad-free and early?https://patreon.com/thedailybeanshttps://dailybeans.supercast.com/https://apple.co/3UKzKt0 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Cutting Through the Matrix with Alan Watt Podcast (.xml Format)
--{ "Alan Watt with Vyzygoth on "From the Grassy Knoll" - "The System" Part 3"}-- Each of us must trust our own instincts about people who are in the 'alternative/truth' movement. Who knows the heart of another man? - Albert Pike's Morals and Dogma, CTTM book club. Next meeting, Saturday June 27 - Iran and US Memorandum of Understanding - G7 Summit, Trump and Meloni kayfabe - The significance of the number 10, the hermaphroditic agenda - Dialog leak of attendees to secretive gathering - Reflecting pool at National Mall - Vyzygoth and Alan Watt, the conclusion to their conversation about The System - Freemasonry trains the managerial class - Alan Watt's Cutting Through books.
All of this week's episodes of It Could Happen Here put together in one large file. - How the United States Shaped the Dominican Republic’s Immigration Enforcement Machine - Settler Colonialism with Andrew - Anti-ICE Protesters in Minnesota Charged with Conspiracy - The Necessary War on Data Centers - Executive Disorder: Iran Deal, UFC at the White House, Dialog Hack You can now listen to all Cool Zone Media shows, 100% ad-free through the Cooler Zone Media subscription, available exclusively on Apple Podcasts. So, open your Apple Podcasts app, search for “Cooler Zone Media” and subscribe today! http://apple.co/coolerzone Sources/Links: How the United States Shaped the Dominican Republic’s Immigration Enforcement Machine Help Bring Ezra Home and Seek the Truth (https://www.gofundme.com/f/help-bring-ezra-home-seek-the-truth) More than a Massacre; Racial Violence and Citizenship in the Haitian-Dominican Borderlands by Sabine Cadeu Empire of Borders by Todd Miller Border Patrol Nation by Todd Miller From tierra de nadie to terre brulée – From Borderland to Border in Haiti and the Dominican Republic by Sabine Cadeu (https://www.histecon.magd.cam.ac.uk/barriers/July2022_papers/SabineCadeauPaper.pdf) Haitians, Magic, and Money: Raza and Society in the Haitian-Dominican Borderlands, 1900 to 1937 by Lauren Derby (https://www.jstor.org/stable/179294) Making the Dominican Republic Great Again? by Lorgia García-Peña (https://nacla.org/making-dominican-republic-great-again/) Marines in the Dominican Republic 1916-1924 (https://www.marines.mil/portals/1/Publications/Marines%20in%20the%20Dominican%20Republic%20PCN%2019000412600_1.pdf) US warns its ‘darker-skinned’ citizens of Dominican Republic’s migrant crackdown by Richard Luscombe (https://www.theguardian.com/world/2022/nov/22/us-warns-darker-skinned-citizens-crackdown-dominican-republic) Latinobarómetro 2024 Resultados por sexo y edad Informe de estudio #LAT-2024 v1 (https://www.latinobarometro.org/latinobarometro-2024#LAT-2024-selected-country-header) Ten Years After a Fateful Court Decision, the Dominican Republic Still Has a Statelessness Problem by Kevin Appleby (https://cmsny.org/dr-statelessness-problem-appleby-102323/) Addressing the Next Displacement Crisis in the Making in the Americas by Valerie Lacarte (https://www.migrationpolicy.org/news/haiti-next-displacement-crisis-americas) ‘They grabbed us like dogs’: deportation quotas tear Haitian migrants’ lives apart by Shandra Back (https://www.theguardian.com/global-development/2025/sep/07/they-grabbed-us-like-dogs-deportation-quotas-tear-haitian-migrants-lives-apart) Federal Agents Investigate Sugar Exporter Over Allegations of Forced Labor (https://www.motherjones.com/politics/2023/10/central-romana-homeland-security-sugar/) “They Just Came and Started Breaking Houses” (https://www.motherjones.com/politics/2021/12/central-romana-sugar-hoyo-de-puerco-demolished/) Despite US Import Ban, Sugar Cane Cutters Still Face Abuse in Dominican Republic (https://unicornriot.ninja/2023/despite-us-import-ban-sugar-cane-cutters-still-face-abuse-in-dominican-republic/) 10 years fighting for nationality in the Dominican Republic (https://www.institutesi.org/news/10-year-anniversary-of-dr-court-ruling-stripping-nationality) LEA Training Schedule 2024 (https://sansalvador.ilea.state.gov/training-schedule?c=fr-FR) International students graduate from elite federal law enforcement program (https://www.ice.gov/news/releases/international-students-graduate-elite-federal-law-enforcement-program) Dominican Republic students graduate from elite US law enforcement program (https://www.ice.gov/news/releases/dominican-republic-students-graduate-elite-us-law-enforcement-program) El misterio de Ellen Frances Hulett | El Informe con Alicia Ortega (https://www.youtube.com/watch?v=YKIg2np081M) How Far Will the Dominican Republic Go in Deporting Haitians? by Marius Loiseau (https://inkstickmedia.com/how-far-will-the-dominican-republic-go-in-deporting-haitians/) Fearing Deportation, Mothers Give Birth in Shadows by Hogla Enecia Pérez and Luis Ferré-Sadurní (https://www.nytimes.com/2026/05/26/world/americas/dominican-republic-haiti-hospital-deportations.html) Dominican Republic and Haiti at the Crossroads of the Massacre River by Simón Rodríguez (https://nacla.org/dominican-republic-and-haiti-crossroads-massacre-river/) US team reveals weaknesses at the Dominican-Haiti border (https://web.archive.org/web/20110526044642/https://dominicantoday.com/dr/local/2006/8/7/16173/US-team-reveals-weaknesses-at-the-Dominican-Haiti-border) Dominican Republic begins building border wall with Haiti (https://www.reuters.com/world/americas/dominican-republic-begins-building-border-wall-with-haiti-2022-02-20/) A 101-Mile Wall Goes Up to Block Haitians Pouring Over Border by Danielle Balbi (https://www.bloomberg.com/news/newsletters/2022-09-28/big-take-why-the-dominican-republic-is-building-a-border-wall-between-haiti?embedded-checkout=true#xj4y7vzkg) “A Veil of Legality” by Amelia Hintzen (https://www.sciencedirect.com/org/science/article/pii/S1382237316000234) Dominican border wall threatens environment, mangroves by Esteban ROJAS (https://phys.org/news/2023-03-dominican-border-wall-threatens-environment.html) Dominican Republic deports pregnant women in ‘inhumane’ migrant crackdown (https://www.theguardian.com/global-development/2025/apr/29/pregnant-women-deported-dominican-republic-migration-crackdown-haiti) La muerte de Ellen Frances Hulett se debió a infartos agudos al miocardio, confirma autopsia (https://noticiassin.com/la-muerte-de-ellen-frances-hulett-se-debio-a-infartos-agudos-al-miocardio-confirma-autopsia/) La muerte de la estadounidense Ellen Hulett: una cadena de preguntas sin respuestas by Ana A, Elina M (https://www.diariolibre.com/actualidad/sucesos/2025/07/03/muerte-de-ellen-hulett-una-cadena-de-preguntas-sin-respuestas/3170413) Alert: Ongoing Dominican Migration Enforcement (https://do.usembassy.gov/alert-ongoing-dominican-migration-enforcement/) 87 Aniversario de la Dirección General de Migración (https://migracion.gob.do/87-aniversario-de-la-direccion-general-de-migracion/) Haitians displaced by violence face deportation after fleeing to Dominican Republic (https://www.pbs.org/newshour/show/haitians-displaced-by-violence-face-deportation-after-fleeing-to-dominican-republic) Settler Colonialism with Andrew Settler Colonialism and the Elimination of the Native by Patrick Wolfe https://www.britannica.com/place/Liberia/History Liberia: The Violence of Democracy by Mary H Moran. The Hundred Years’ War on Palestine by Rashid Khalidi The Question of Palestine by Edward Said https://rpublc.com/story/2024/02/08/international-affairs/the-false-equivalence-of-liberia-and-israel Anti-ICE Protesters in Minnesota Charged with Conspiracy https://www.iheart.com/podcast/105-it-could-happen-here-30717896/episode/everyone-vs-ice-on-the-ground-in-minnesota-319435576 https://www.iheart.com/podcast/105-it-could-happen-here-30717896/episode/outlaw-criminalization-of-ice-watch-in-minneapolis-326372276 https://storage.courtlistener.com/recap/gov.uscourts.mnd.234418/gov.uscourts.mnd.234418.1.0_1.pdf https://www.youtube.com/watch?v=ZQ0hYCF60og Executive Disorder: Iran Deal, UFC at the White House, Dialog Hack Short Stories: https://www.reuters.com/business/media-telecom/spacex-ipo-makes-elon-musk-worlds-first-trillionaire-2026-06-11/https://www.justice.gov/opa/pr/justice-department-files-complaint-challenging-virginia-mask-ban-and-identificationhttps://x.com/DHSgov/status/2065442267502882838?s=20 https://www.youtube.com/watch?v=u7rjZqvbMIkhttps://www.haaretz.com/israel-news/security-aviation/2026-06-11/ty-article/israeli-firm-blackcore-suspected-of-meddling-in-nyc-scotland-elections/0000019e-b7d1-d892-adde-f7df71710000 https://democrats-judiciary.house.gov/sites/evo-subsites/democrats-judiciary.house.gov/files/evo-media-document/2026-06-15-raskin-to-patel-fbi-re-bonuses.pdf https://www.whitehouse.gov/presidential-actions/2026/05/removing-unnecessary-and-counterproductive-restrictions-on-access-to-federal-lands/ https://www.energy.senate.gov/hearings/2026/6/business-meeting-to-consider-pending-legislation https://www.pew.org/en/research-and-analysis/articles/2026/02/18/an-update-on-the-roadless-rulhttps://www.courtlistener.com/docket/73486770/united-states-v-warrant/ Police Shooting: https://www.mississippifreepress.org/mississippi-police-officer-shoots-and-kills-1-year-old-child-in-response-to-senatobia-shoplifting-call/ https://capitalbnews.org/mississippi-police-shooting-kohen-kartier-wiley/ https://www.whsv.com/2026/06/17/family-identifies-1-year-old-killed-officer-involved-shooting-walmart-protests-break-out-store/?outputType=amp https://wreg.com/news/local/ms-town-looks-for-answers-after-walmart-shooting-that-killed-1-year-old/ https://wreg.com/news/local/mother-of-toddler-killed-in-walmart-shooting-speaks/ https://www.wapt.com/article/senatobia-officer-placed-on-leave-tear-gas-deployed-as-hundreds-protest-death-of-1-year-old-kohen-wiley/71608163 https://www.fox13memphis.com/news/watch-child-dead-another-person-critically-injured-after-officer-involved-shooting-at-senatobia-walmart-mbi/video_af5674d5-cfc5-5e9e-83cb-64f0beded36f.html https://wreg.com/news/mbi-investigates-shooting-at-senatobia-walmart-parking-lot/?ipid=promo-link-block1 https://www.actionnews5.com/2026/06/16/community-rally-planned-after-officer-shoots-kills-1-year-old-senatobia/ https://abcnews.com/US/officer-involved-shooting-walmart-killed-1-year-boy/story?id=133965022 Iran Deal: https://truthsocial.com/@realDonaldTrump/posts/116743808155352167 https://edition.cnn.com/2026/06/17/middleeast/us-iran-war-mou-text-intl https://en.mehrnews.com/news/245340/Islamabad-says-Iran-US-reach-peace-deal https://en.mehrnews.com/news/245343/Iran-s-top-security-body-confirms-Iran-US-finalization-of-MoU https://x.com/CMShehbaz/status/2065467425408405712?ref_src=twsrc%5Etfw https://x.com/CMShehbaz/status/2066268332832194810?s=20 https://x.com/itamarbengvir/status/2066392115027050781 https://farsnews.ir/Qaysar/1781530307974297749/Spokesman-Iran-Oman-to-Charge-Fees-for-Full-Services-in-Strait-of-Hormuz https://x.com/phildstewart/status/2066552634803155267?s=20 https://x.com/osinttechnical World Cup:https://www.whitehouse.gov/presidential-actions/2025/12/restricting-and-limiting-the-entry-of-foreign-nationals-to-protect-the-security-of-the-united-states/https://www.state.gov/fifa-world-cup-26-visas https://www.americanimmigrationcouncil.org/blog/world-cup-ice-visas-iran/https://www.espn.com/soccer/story/_/id/49017941/iran-players-say-us-visa-policies-create-world-cup-tensionhttps://www.cbsnews.com/news/somali-world-cup-referee-omar-artan-talking-to-very-bad-people-andrew-giuliani/UFC Freedom 250:https://time.com/article/2026/06/15/ufc-fight-white-house-hokit-obama/https://www.justice.gov/opa/pr/five-men-arrested-and-charged-plot-attack-and-kill-government-officials-and-others-attendinghttps://www.justice.gov/opa/media/1446021/dl?inlinehttps://cnycentral.com/resources/pdf/99a48b49-11dc-4b9c-a158-6487087ab779-Propercomplaint.pdfhttps://www.youtube.com/watch?v=_rSE1tw7lI0https://thehill.com/homenews/administration/5927733-ufc-white-house-attack-plot/Dialog:https://www.wired.com/story/leak-exposes-members-of-peter-thiels-secretive-dialog-society/See omnystudio.com/listener for privacy information.
Your host pals Max and 99 are back for another round of Omnibus! They hit headlines on AI as a political problem dressed up as a spiritual one, Carville’s prediction that Trump walks away by Easter, the new Spielberg film, and a leaked member list from Peter Thiel’s secret society, then tackle listener emails on whether there’s any coming back from this level of democratic destruction and what’s coming for the dollar and gold + more. Enjoy! Chapters Intro: 00:00:18 Headlines: 00:14:10 Emails: 00:51:57 Memberships: 01:22:55 Outro: 01:26:54 Resources The Hill: Carville doubles down on Trump departure prediction: ‘Your life is miserable’ CNBC: ‘A signal of where power sits’: Trump and world leaders joined by OpenAI, Anthropic, Google at G7 Bloomberg: SpaceX Pounces on $60 Billion Cursor Takeover Days After IPO Jacobin: The Soul of AI and the Future of Humankind Wired: Leak Exposes Members of Peter Thiel’s Secretive ‘Dialog’ Society Bluesky: Post by @crimew.gay Adam Grant Poem Slate: Steven Spielberg’s New Movie Is a Monument to the Power of Watching Something Together CBS News: Mamdani delivers passionate Knicks victory speech to ‘a city overcome by happiness’ USA Today Sports: Knicks owner James Dolan says ‘I don’t need your vote’ at NYC parade celebrating NBA Finals title Book Love Jeff Sharlet: The Family: The Secret Fundamentalism at the Heart of American Power UNFTR Resources Series: Palestine: A Political History of Palestine from the 1880s through Today. Video: Trump Weakened U.S. Allies While Strengthening Iran. Video: Elon Musk Is Now the Leader of the “Free” World. -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.
Trump lost the Iran war BIGLY, and the boys are here to break down the surrender and laugh about how funny it is. The 14-point memorandum of understanding went public on Wednesday and includes a complete end to the war on all fronts, including Lebanon, a $300 billion investment fund for the rebuilding of Iran, and unfreezing up to $167 Billion in Iranian assets. Trump flip-flopped on ballistic missiles and nuclear enrichment for civilian reasons, saying it would be unfair not to let Iran do it if their neighbors get to. The question hanging over everyone's heads is whether or not the deal will hold, considering Israel continues to strike Lebanon and says publicly that they will not pull out. Stay for the end where the HITO boys clown on Peter Thiel's secret society and the people involved in it, thanks to a new WIRED article. Trevor Project Fundraiser!: https://headintheoffice.com/ Early access on Patreon: https://www.patreon.com/headintheofficepodSubstack: https://headintheoffice.substack.com/YouTube: https://www.youtube.com/channel/UC4iJ-UcnRxYnaYsX_SNjFJQSubscribe to second channel: https://www.youtube.com/channel/UC3UoTN328OA7fK2dzicP-ZATikTok: https://www.tiktok.com/@headintheoffice?lang=enInstagram: https://www.instagram.com/headintheoffice/Twitter: https://twitter.com/headintheofficeThreads: https://www.threads.com/@headintheofficeDiscord: https://discord.gg/hito Collab inquiries: headintheofficepod@gmail.com(0:00) Insane cope(3:48) Intro(6:50) Iran defeats the United States, peace deal made public(57:00) Peter Thiel's Secret Society "Dialog"(1:09:00) Reviews/endingSeen on this episode:U.S.-Iran peace deal - https://www.nbcnews.com/world/iran/strait-hormuz-reopen-us-lift-iran-sanctions-14-point-deal-seeking-end-rcna350513 https://time.com/article/2026/06/17/us-iran-peace-deal-agreement-leaked-draft-text/ https://time.com/article/2026/06/17/trump-s-iran-agreement-draws-more-alarm-than-relief-from-gop/?utm_source=twitter&utm_medium=social&utm_campaign=editorial&utm_content=170626 https://www.timesofisrael.com/liveblog_entry/netanyahu-to-lean-on-right-wing-pundits-pro-israel-senators-to-influence-final-iran-deal-cnn-reports/ https://www.nbcnews.com/world/lebanon/israel-issues-new-lebanon-occupation-map-talks-us-deployment-rcna350681https://www.cnn.com/2026/06/17/middleeast/us-iran-war-mou-text-intlhttps://www.aljazeera.com/news/2026/6/17/israeli-air-strikes-on-lebanon-continue-threatening-us-iran-dealhttps://www.yahoo.com/news/politics/articles/iran-live-updates-israel-wont-074331332.htmlhttps://www.aljazeera.com/news/2026/6/18/iran-war-day-111-tehran-warns-us-as-14-point-plan-takes-effecthttps://www.kcra.com/article/what-we-know-300-billion-economic-plan-iran-deal/71618736https://www.cnn.com/2026/06/16/politics/trump-obama-iran-moneyhttps://www.reuters.com/business/finance/iran-deal-includes-300-billion-fund-more-than-half-which-already-committed-2026-06-16/https://www.cnn.com/2026/06/17/business/iran-war-financial-benefitPeter Thiel's secret society - https://www.wired.com/story/leak-exposes-members-of-peter-thiels-secretive-dialog-society/ https://www.hollywoodreporter.com/business/business-news/hollywood-peter-thiel-secret-society-1236624737/
In episode 2077, Jack and Miles are joined by actor/writer/comedian Mo Fry Pasic to discuss… Peter Thiel's secret invite only org had their data hacked???, Scottish football fans drinking all the beer in Boston, Hollywood (of course) learning the wrong lesson from 'Backrooms' and much more! Peter Thiel’s ‘Dialog’ network was super-secret. A data leak changed that Leak Exposes Members of Peter Thiel’s Secretive ‘Dialog’ Society | WIRED Are Scottish soccer fans drinking all of the beer in Boston? Reddit Is Ready to Be Mined for Hollywood IP LISTEN: Hectic As... by Move 78 | SpotifySee omnystudio.com/listener for privacy information.
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