Podcasts about formats

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Suave Golf's Kyle Surlow and Steve 'Beige' Berger congregate once again to figure out why playing with half sets is so much fun. Then the boys discuss the origins of the Pebble Beach Pro-Am and its founder Bing Crosby, before recapping this past weekend's US Amateur, then they break down some different tournament ideas they can use on their upcoming trip to Scotland. Support those who support us! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠SUAVE GOLF⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - world-class golf sabbaticals and fine goods ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hot Drops⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ fermented & flavorful condiments ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Golf Guide⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - purveyors of discounted greens fees across Northern California WATCH - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Like & Subscribe to Nice Grass Nice People⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on YouTube Music provided by broiler - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠listen to and download his music here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email us! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nicegrassnicepeople@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Ein fulminanter 4:1-Erfolg gegen Heidenheim, der erste Sieg im ersten Heimspiel der neuen Saison und der beste Saisonstart Herthas seit 2018!Grund genug für ein neues Format! Wir bei Hertha BASE wollen neben den etablierten Montagssendung zukünftig auch möglichst schnell nach Abpfiff eine erste Analyse zum Hertha-Spiel bieten - unsere "Nachspielzeit".Hier ist die 1. Episode des neuen Formats. Lasst unbedingt Feedback da! Uns interessiert sehr, was ihr hiervon haltet.Stimmungsbarometer: ⁠https://stimmung.herthabase.de/⁠HIER FINDEST DU ALLE WICHTIGEN HERTHA BASE LINKS:⁠https://linktr.ee/herthabase⁠Moderation: Marc SchwitzkyProduktion & Schnitt: Lukas KlossVideo & Schnitt: Marco M. LudeGrafik: Tamina Ade Dieser Podcast wird vermarktet von der Podcastbude.www.podcastbu.de - Full-Service-Podcast-Agentur - Konzeption, Produktion, Vermarktung, Distribution und Hosting.Du möchtest deinen Podcast auch kostenlos hosten und damit Geld verdienen?Dann schaue auf www.kostenlos-hosten.de und informiere dich.Dort erhältst du alle Informationen zu unseren kostenlosen Podcast-Hosting-Angeboten. kostenlos-hosten.de ist ein Produkt der Podcastbude.

Ein fulminanter 4:1-Erfolg gegen Heidenheim, der erste Sieg im ersten Heimspiel der neuen Saison und der beste Saisonstart Herthas seit 2018!Grund genug für ein neues Format! Wir bei Hertha BASE wollen neben den etablierten Montagssendung zukünftig auch möglichst schnell nach Abpfiff eine erste Analyse zum Hertha-Spiel bieten - unsere "Nachspielzeit".Hier ist die 1. Episode des neuen Formats. Lasst unbedingt Feedback da! Uns interessiert sehr, was ihr hiervon haltet.Stimmungsbarometer: ⁠https://stimmung.herthabase.de/⁠HIER FINDEST DU ALLE WICHTIGEN HERTHA BASE LINKS:⁠https://linktr.ee/herthabase⁠Moderation: Marc SchwitzkyProduktion & Schnitt: Lukas KlossVideo & Schnitt: Marco M. LudeGrafik: Tamina Ade Dieser Podcast wird vermarktet von der Podcastbude.www.podcastbu.de - Full-Service-Podcast-Agentur - Konzeption, Produktion, Vermarktung, Distribution und Hosting.Du möchtest deinen Podcast auch kostenlos hosten und damit Geld verdienen?Dann schaue auf www.kostenlos-hosten.de und informiere dich.Dort erhältst du alle Informationen zu unseren kostenlosen Podcast-Hosting-Angeboten. kostenlos-hosten.de ist ein Produkt der Podcastbude.

Willkommen zum DC OLDSCHOOL SUMMER REVIVAL! Die Sommerzeit ist da und das heißt es ist auch wieder mal Drama Carbonara Summer Special Zeit & eure Dramafrauen machen eine kleine Sommerpause! Aber, bitte cool bleiben - wir lassen euch nicht auf dem Trockenen sitzen, sondern wir haben einige wirkliche Klassiker des Drama-Archivs mit methaphorischem Schirmchen, Eiswürfeln und Strohalmen aufgehübscht und schicken euch dieses Mal an die Strandbar mit ein paar unserer alten, quasi historischen Geschichten!  Mit besonders lieben Grüßen an unsere Jasna ❤️❤️❤️ Also viel Spaß beim „DRAMA CARBONARA OLDSCHOOL SUMMER REVIVAL“! Wir wünschen euch einen bombastischen Sommer 2026 – ab September sind wir wieder zurück: energetisiert, sonnengeküsst und mit ein paar coolen neuen Spielereien im Gepäck! Salute und Bussi -- Folge #9 mit Dramberta Nora Kampelmühler: „Blinder Passagier - Wo kam der Typ her?" (Dezember 2019) In dieser frühen Folge vom Dezember 2019 hörten unsere Dramovics zum ersten Mal die Stimme von Dramberta Nora, die damals als treue Freundin unseres Formats (und von uns) eingeladen war! Reisebloggerin Alina beschließt, ihre geplatzte Verlobung hinter sich zu lassen und für ihren Traum, Reisebloggerin zu werden, einfach ihrem Herzen zu folgen. Sie besorgt sich einen alten Wohnwagen und fährt zu Sommerbeginn Richtung Süden. Auf einem ihrer ersten Stops bemerkt sie allerdings, dass sie nicht alleine unterwegs ist. In ihrem Wohnwagen liegt ein schlafender Mann, den sie noch nie gesehen hat. Was soll sie tun? Soll sie die Polizei rufen? Soll sie ihn aufwecken? Soll sie …? Als sie nicht mehr weiter weiß, kommt die Lösung plötzlich wie von alleine und ändert damit ihr ganzes Leben.   SOMMERPAUSE im August - die nächste reguläre Folge erscheint wieder am 4. September 2026! **Euch hat diese Geschichte gefallen, aufgeregt oder ihr habt euch darin sogar wiedererkannt?** Das interessiert uns brennend! Schreibt uns in Kommentaren über Facebook und Instagram unter @drama_carbonara_podcast. Dort werdet ihr auch die in den Geschichten besprochenen Fotos finden und endlich sehen können, was wir sehen ... Falls ihr noch mehr fantastische Geschichten mit uns lesen wollt, können wir euch schon jetzt versprechen: das Repertoire ist unerschöpflich, wir staunen jedes Mal aufs Neue, was möglich ist. Abonniert Drama Carbonara auf allen gängigen Podcast Plattformen Über Sternchen, Bewertungen und Kommentare freuen wir uns natürlich auch extrem und feiern diese gern auch prominent in unserem Social Media Feed! Jede zweite Folge kommen ja großartige Gastlerser*innen zu uns ins Wiener Drama-Hauptquartier und unterstützt uns mit Interpretationen und Improvisationen. Wenn ihr einen Wunschgast für uns habt oder gern selbst mal vorbeischauen wollt, sagt Bescheid! Wir können nichts versprechen, aber wir freuen uns immer über Vorschläge. Wenn ihr Lust auf Extra-Content habt und euren Lieblingspodcasts auch finanziell unterstützen wollt , dann tut das herzlich gern mit einem Abonnement auf Steady und kommt in den Genuss des kompletten "Drama Carbonara"-Universums! Falls ihr daran interessiert seid, Werbung in unserem Podcast zu schalten, setzt euch bitte mit Stefan Lassnig von Missing Link in Verbindung. Verbindlichsten Dank! **Link zur Podcast Hörer:innen UMFRAGE!Danke für die Mitarbeit und euer wertvolles Feedback :) & hier zur legendären Spotify Drama Carbonara Soundtrack Playlist - folgen folgen folgen!! liebe Freund:innen des unberechenbaren Musik-Algorithmus!

Welcome to the Success With Jewelry podcast, hosted by Laryssa Wirstiuk and Liz Kantner, two experts passionate about helping independent jewelry artists thrive. Welcome to episode #184! We're back with part two of our Instagram series, and this week Laryssa and Liz are getting into the format question everyone asks: should I be doing reels? Are carousels worth it? Can I just post a single photo? They're pulling in data from a study of over 24 million posts to answer these questions - so it's not just opinions, it's backed by real numbers. In today's episode, Laryssa and Liz cover: What the data actually says about single image posts in 2026 - and why views going up doesn't tell the whole story Why reels are still the format with the most consistent across-the-board performance The carousel stat that might change how you think about your content: carousels outperform single image posts across every single metric, get more than double the reach and views, nearly four times the interactions - and yet they're used 37% less often Why carousels get nine times more saves than single image posts How photo dumps and multi-slide storytelling carousels are performing How often you should be posting - and what the data says about the sweet spot for smaller accounts Why consistency still matters more than format perfection In the bonus segment for Insiders only, Laryssa and Liz share what's going on in their own businesses right now, including how they're thinking about the lead-up to holiday season and what they're watching in their clients' strategies. Liz Kantner works with independent jewelry artists to help them find their unique voices and succeed in today's marketplace. With over ten years of experience in jewelry marketing and sales, Liz offers consulting services and digital strategy. She's also the founder of the Stay Gold Collective, a private group providing live training, industry insights, and personalized feedback. Learn more at https://www.lizkantner.com. Laryssa Wirstiuk is the founder and creative director of Joy Joya, a digital marketing agency for the jewelry industry. She's the author of Jewelry Marketing Joy and the creator of JoyDeck, a platform designed to make marketing accessible for jewelry makers and designers. Discover more at https://joyjoya.com. Tune in to hear Liz and Laryssa share valuable insights, tips, and strategies for success in the jewelry industry!

Send us Fan MailGet vidIQ Boost for an exclusive price! https://vidiq.com/podcastWant a 1 on 1 coach? https://vidiq.ink/theboost1on1Join our Discord! https://www.vidiq.com/discordWatch the video: https://youtu.be/_kUOrWhNynwWe break down how People Vs Food stays fresh after a decade by pairing a clear creative North Star with systems that make videos scalable and easy to click. Nicole shares what it really takes to reduce key man risk, test new formats, and package ideas so the audience understands the promise instantly. • Nicole's career path from traditional film and TV into digital food content and YouTube • Using food as a storytelling vehicle for culture, education, and shared history • Defining the channel's North Star before choosing formats, topics, or games • Managing key man risk with hosts as anchors and an ensemble cast model • How casting works at scale with polls, topic buckets, and scheduling constraints • Bulk shooting 10–14 episodes in two days across multiple studios • Why ideation and packaging beat “cool ideas” without a clear title, hook, and thumbnail • Testing new formats over multiple uploads and judging success by the intended goal • Where AI helps and where it fails, especially for research and fact accuracy • Workflow automation with Airtable to reduce manual work and protect creative focus I want y'all to leave me a comment. Which which video from uh people versus food is your favorite? 

Fonzie is back. And he came back with the thing every creator feels but nobody says out loud... "I already posted about this." You wake up. You know you have to publish. The idea shows up. And then that voice: wait, I said this already. It's an exhausting loop, and it's the reason most people quit before the content ever works. Here's what we get into: it started with a guitar lesson. Fonzie told his teacher he keeps falling into the same riff. The answer he got flipped the whole thing, and it connects straight back to one of the first phrases we ever coined on this show. Then we break down three ways to deliver the same message without burning out. Customer journey. Angles. Formats. Plus the real client ad we reviewed this week, the one metric that actually matters (it is not views), and the part nobody talks about... whether you and your team actually enjoy any of this. Pick one. Run it 30 days.

Die 4. Staffel von "Die Verräter" ist gestartet

La seule règle du contenu en 2026, c'est qu'il n'y a plus de règles. Par contre, il y a des formats qui, en ce moment, sur-performent particulièremen, tout en étant faciles à produire (oui, oui, c'est possible).Au programme de cet épisode :Le yapping : le format qui explose sur TikTok, YouTube Shorts et Instagram. Le carrousel prise de position : le format parfait si vous détestez vous filmer (et pourquoi ceux qui ne sont PAS d'accord avec vous vont quand même venir vous lire).Les avant/après et études de cas : le seul contenu qui vend à votre place à l'ère de l'IA.Le b-roll : le format qui met moins de 10min à créer et peut vous rendre viralLes tendances : comment les utiliser sans devenir influenceur (et la règle des 10 % que je répète à toutes mes élèves).Les séries signatures : le format sur lequel je parie pour la rentrée, avec la mise à jour Meta de juin 2026.Si vous faites aujourd'hui moins de 40 000 € de chiffre d'affaires annuel et que vous voulez des revenus prédictibles plutôt qu'un business en dents de scie, c'est le programme exact de mon Bootcamp Signed.. On installe ensemble les trois systèmes qui vous rapportent des clients en continu : votre QG business, votre système de contenu, votre système de vente. Vous déposez votre candidature, on regarde votre business avec mon équipe, et on vous dit franchement si c'est le bon moment pour vous.Liens mentionnés dans cet épisode :✨ Le Bootcamp Signed (mon accompagnement business pour les entrepreneurs

Fresh off the opening weekend of Christopher Nolan's latest blockbuster, the Deep Cut trio welcome friend of the pod Koh Zhi Hao to talk about The Odyssey. Listen to us break down the differences in Nolan's adaptation of Homer's poem, discuss who gave a bad performance in this, and finally answer the question; Does Chris Nolan make movies for stupid people? Take an odyssey to our FREE patreon, discord server, and our socials @ www.deepcutpod.com Timestamps:00:00:00 Intro00:02:40 Introducing film and Zhi Hao00:09:59 Formats we saw and general reactions00:40:35 Context and favorite moments00:55:12 Favorite technical aspects01:08:46 Phaeacia, Helen, and other details01:19:54 The gods' influence on characters01:30:37 Nolan's influence01:34:48 Odyssey viewing formats01:44:10 Closing

Ein neues Format erblickt das mediale Licht der Welt. Dirk Pohlmann und Tom J. Wellbrock haben es sich zur Aufgabe gemacht, auf die internationale Berichterstattung zu blicken und diese der deutschen gegenüber zu stellen. Die erste Episode ist ein kleiner Sprung ins kalte Wasser, denn wir hatten nur wenig Zeit, uns vorzubereiten. Wichtiger war es uns, zunächst einmal zu starten und auf unser neues Format aufmerksam zu machen. Zu Beginn stellen wir das Format kurz vor, dann widmen wir uns in erster Linie den 49.000 Migranten (also nicht 48.000 und auch nicht 50.000), die die vermeintliche „Invasion“ Ceutas zu verantworten haben. Kurze Zeit später war der Spuk schon wieder fast vorbei, fast alle „Besucher“ waren angeblich wieder zurück nach Marokko gegangen. Darüber gilt es zu sprechen. Noch ein Hinweis: Der Namen „Pohlmann & Wellbrock“ soll ein Arbeitstitel sein. Wir sind auf der Suche nach einem griffigen Namen, bis es soweit ist, haben wir uns aber entschieden, zunächst mit dem Arbeitstitel zu beginnen. Mit Dirk Pohlmann und Tom J. Wellbrock Inhalt: 00:10 Vorstellung unseres neuen Formats 07:30 Was war los in Ceuta? 12:00 Marokko und Israel 15:30 Spanien und die USA 19:30 Spaniens Grenzpolitik 20:30 Wofür stehen EU und NATO? 22:00 Die NATO als Fremdenlegion der USA 24:30 Die NATO als Geschäftsmodell ohne Berechtigung 28:30 Trump hat Biden politisch in den Schatten gestellt 31:00 Einmal feucht durchwischen 34:30 Trump spielt 4-D-Schach 37:00 Obdachlosigkeit als Waffe 38:30 Geopolitische „Freundschaften“ und geopolitischer Weltschmerz 51:30 Strukturen der „treuen Dienste“ 56:00 Männer in grauen Anzügen und die Frage nach dem Ausweg Direkt-Link Audio-Player Spenden: Per Überweisung oder Dauerauftrag ● Kontoinhaber: Jörg Wellbrock ● Kontobezeichnung: neulandrebellen ● IBAN: AT11 2021 9000 2119 2083 ● BIC: SPHEAT21XXX ● Via PayPal:neulandrebellen@gmail.com oder tjwellbrock@gmail.com Bei Steady: https://steadyhq.com/de/neulandrebellen/about #PohlmannundWellbrock #Ceuta #Deutschland #Geopolitik #Spanien #Marokko #USA #NATO #Israel #Trump #Netanjahu #Migranten #Migration #wohlstandsneurotiker #neulandrebellen #Podcast #Pohlmann #Wellbrock Pohlmann und Wellbrock, Ceuta, Deutschland, Geopolitik, Spanien, Marokko, USA, NATO, Israel, Trump, Netanjahu, Migranten, Migration, wohlstandsneurotiker, neulandrebellen, Podcast, Pohlmann, Wellbrock Linksammlung: https://x.com/BabakTaghvaee1/status/2082946862516957305?s=20 https://x.com/ShadowofEzra/status/2082984666059931807?s=20 https://x.com/izakaminska/status/2082897234300108973?s=12&t=-aXa_wnjHelZRsviF6tvlw https://x.com/wallyrashid/status/2083021437632156025?s=12&t=-aXa_wnjHelZRsviF6tvlw https://www.ynetnews.com/opinions-analysis/article/bki11ns9tzx https://x.com/USEmbMorocco/status/2083519472019665344?s=20 Folge direkt herunterladen

Mháire und Nico quatschen zwanglos über Neuigkeiten aus der Welt der Rollenspiele. Dies ist Folge 6 eines Formats, in dem wir uns - ohne euch mit zu viel Kompetenz zu belasten - über Neuigkeiten aus der Welt der analogen (und manchmal digitalen) Spiele unterhalten. Diese Folge ist teils vor und teils während der Gencon 2026 entstanden und hat deswegen mehrere Zeitsprünge. Die Themen: Daggerheart Release Party Ennie-Nominierungen Ennie-Gewinner Vampire 5E? D&D Pressekonferenz D&D und WoW D&D und Star Wars Mehr News von der Gencon News zu eigenen Büchern

Es ist soweit. Unser neues Format Devils & Demons Xtreme ist am Start. Hier besprechen wir Filme, die sich größtenteils abseits von den üblichen Sehgewohnheiten befinden, in der Regel weit weg vom Horrormainstream. Hier soll es vor allem um Splatter, Gore, aber auch inhaltlich abseitige Filme gehen. Für die erste Ausgabe haben sich Chris und André noch mal für euch durch die Guinea Pig Reihe aus Japan gekämpft und diese analysiert. Diese Folge des neuen Formats ist für alle Zuhörer gratis verfügbar. Alle weiteren Folgen von Devils & Demons Xtreme könnt ihr dann mit einem Supporter-Abo auf Steady hören.

Wer im Immobiliengeschäft Kunden gewinnen will, jagt sie meistens hinterher, statt sie kommen zu lassen. Alexander Schmid hat den umgekehrten Weg gebaut: vom angestellten Architekten zum Netzwerkprofi mit 50 bis 100 Events im Jahr und einem Podcast, der Kunden von allein bringt.Diese Folge zeigt, wie Netzwerken, Personal Brand und ein Podcast als Inbound-System zusammenspielen, damit die richtigen Immobilien-Kontakte auf dich zukommen:Die 5-Schritte-Methode, mit der aus einem Event echte Deals werden, statt Smalltalk ohne Ergebnis.Warum bei teuren Immobilien-Deals Vertrauen oft mehr zählt als der höchste Preis, und wie ein Brand genau dieses Vertrauen aufbaut.Wie aus einer einzigen Podcastaufnahme 18 Posts am Tag auf sechs Plattformen entstehen, und warum Langformat mehr verkauft als jedes kurze Video.Alexander Schmid ist Gründer von IRECC und der Real Estate Lounge, einem Eventformat mit 50 bis 100 Veranstaltungen pro Jahr, und begleitet als Podcast-Mentor andere beim Aufbau ihres eigenen Formats.Unser Gast: Instagram: LinkedIn Alexander Schmid LinkedIn IRECCYouTube---

In Folge 74 weht ein frischer Wind durch den Healthcare EsPResso: Anita und Torsten begrüßen Maria als neue Co-Moderatorin, die mit bayerischem Charme und einer Leidenschaft für Publikumskommunikation das Mikrofon übernimmt. Doch damit nicht genug – das gesamte, neu strukturierte Backend-Team stellt sich vor und gibt persönliche Einblicke in seine Healthcare-Herzensthemen. Gemeinsam wirft das Trio einen Blick auf die sechsjährige Podcast-Historie, diskutiert die Entwicklung des Kanals in der Gesundheitskommunikation und verrät im Outro, welche historischen Persönlichkeiten aus der Medizin sie gerne mal ans Mikrofon holen würden. Einschalten lohnt sich!

Christopher Nolan's just released The Odyssey is another Nolan juggernaut, having made $700 million in just 12 days of release. It's also the first movie shot fully on IMAX film. And it's a certified classical epic. Often, cinema has pulled a kind of miraculous magic trick by finding technologies and film formats and the right epic material to make a movie in the theater a must see experience.  Every time the naysayers write off movies or the movie theater, sound (1920's), color (1930's), widescreen (1950's) or 70MM (1950's-1960's) or immersive 3D (2000's Avatar) and now IMAX (2000's-present) somehow brings folks back. And makes believers out of us again. Secret Movie Club founder.programmer Craig Hammill looks at this history of epic-film format-rejuvenation. And wonders what we might be able to learn from it. 

Mit der nächsten Hitzewelle die über das Land und den Kontinent fährt, zaubern wir euch noch eine neue Episode des SpielBar-Podcasts auf die Ohren, damit ihr was zum lauschen habt, wenn ihr da draußen am Wasser liegt. In Ausgabe 215 dieses wunderbaren Formats sprechen Olu und Maurice über die letzten News – es wurde “etwas ruhiger” und haben außerdem haben die beiden einen Sack voll Spiele für euch dabei. Zweiter Playthrough: Moderne Resident Evil-Spiele u. a. mit Resident Evil 9 AC Shadows Reanimal DOOM: The Dark Ages | Revelations Halo: Campaign Evolved Rise of the Ronin Powerwash Simulator 2 Star Wars DLC Im Bereich der News gab es nochmal einen Nachschlag bezüglich der massiven Entlassungen bei XBOX, weil so ein Rundumschlag auch einen ziemlich langen Rattenschwanz hat. Bethesda versuchte mit einer Reihe von Ankündigungen die Wellen wieder zu glätten und God of War Laufey erscheint deutlich früher als wir alle dachten. Das war’s im Großen und Ganzen auch schon. Wir bedanken uns für’s einschalten und seid doch so nett, teilt und erzählt euren Freund*innen vom Podcast. Das würde unserer Reichweite helfen und am Ende verabschiede ich mich wie immer: Bleibt den Pixeln treu!

Susann Penack: ARD-Quotenhit „Money Maker“, Doku-Handwerk & der Fall Nic KaufmannWie entsteht eine erfolgreiche ARD-Dokumentation, die Millionen von Aufrufen erzielt und gleichzeitig ein junges Publikum auf YouTube und TikTok begeistert? In dieser Folge von „In kleiner Runde – Inside Medien“ empfangen Julia Krüger und Maurice Gajda die freie NDR-Filmrealisatorin und Journalistin Susann Penack.Nach Quoten-Erfolgen mit Ballermann-Star Isi Glück blickt Susann in ihrer bereits 5. „Money Maker“-Folge hinter die Fassade von Social-Media-Star Nic Kaufmann – vom einstigen Außenseiter zu einem der erfolgreichsten Mode-Influencer Europas. Im Gespräch geht es nicht nur um den Hype, sondern um harte journalistische Realität, visuelle Dramaturgie und die Kehrseiten der Medienbranche.Journalismus, Handwerk & der Kritiker-Anspruch: Susann bezieht Stellung zur scharfen Kritik von Übermedien („Oft mehr Imageproduktion als Doku“) und verrät, wie sie den Spagat zwischen schnellem 30-Minuten-Format für Gen Z und investigativem Anspruch meistert.Blick hinter die Kulissen von „Money Maker: Nic Kaufmann“: Wie bricht man das perfekt kontrollierte PR-Schutzschild eines Influencers? Susann erzählt von Schlüsselmomenten am Set, Einblicken in Nics mentale Gesundheit und den schmerzhaften Entscheidungen im Schnittraum.Dramaturgie, Experten & visueller Flow: Warum Stimmen wie Branchen-Insider Adil Sbai oder Psychologen für die Story-Tiefe unverzichtbar waren und wie man als Regisseurin die visuelle Tonalität wahrt, ohne dass Einordnungen wie ein belehrender Zeigefinger wirken.Der „innere Kampf“ & die Medienbranche: Über die persönliche Parallele zu Nics Zitaten, den ständigen Leistungsdruck als freie Filmemacherin, Burnout-Prävention in heißen Produktionsphasen und den Umgang mit öffentlichen Verrissen.Zukunft des Formats & Ratschläge: Susann teilt ihr größtes Learning aus dem 5. Film, gibt wertvolle Praxistipps für den journalistischen Nachwuchs und enthüllt ihren absoluten Traum-Protagonisten für die nächste Folge.

There are roughly 100x more people who use code than who can write code. As code that “just works” becomes easier to generate, this group may be the biggest prize of all — if you can get the agentic interface right.A key trend we have been tracking over at AINews is the absolute explosion in Codex usage this year, with MAU now up >10x from Jan 2026. Less than two weeks after their July 9th launch, OpenAI said ChatGPT Work and Codex had reached 10M users combined (as we cover in the pod, Codex now powers ChatGPT Work, so all ChatGPT Work users are now users of the Codex harness, even if they aren't traditional engineers) — showing the early innings of what happens when you graduate from coding agents to knowledge work agents:We've been calling out how coding agents are “breaking containment” to do everything else this year to power every other part of knowledge work - and it started with the org chart, with a major reorg last month that amounted to two of Codex's most prominent leaders, Greg and Tibo, taking responsibility over product and ChatGPT specifically, completing a “Superapp” consolidation cycle first discussed in March.With these updates Codex is no longer just a coding tool. In June, OpenAI said knowledge workers already accounting for roughly 20% of Codex's user base and growing more than 3x as quickly as developers. A product dedicated for knowledge workers was being pulled out of the Codex team.However, knowledge work has a different set of problems and environments than coding. For decades, knowledge work has been scattered across different primitives like documents for writing, spreadsheets for analysis, slide decks for communication, and specialized applications for everything else. ChatGPT Work now enables users to work across every primitive with agents. Instead of opening an application and manually operating its features, the user can describe an outcome and collaborates with an agent that can assemble the tools, context, and artifact needed to reach it.From building no-code products at Airtable to leading Productivity Engineering at OpenAI, Akshay Nathan has spent much of his career trying to make the power of software accessible to people who do not write code. In this episode, Akshay joins swyx and Vibhu to unpack the launch of ChatGPT Work, why Codex unexpectedly took off among non-developers inside OpenAI, and the company's broader plan to bring useful agents from software engineers to knowledge workers and eventually everyone.We go deep on the shared agent harness behind Codex and ChatGPT Work, why OpenAI brought the experiences together without making them identical, and how persistent computers, artifacts, Sites, plugins, memory, and sub-agents are changing what people can delegate to AI. Akshay explains why some teams are replacing decks and spreadsheets with interactive websites, how agents can gather context across code, Slack, documents, and local files, and what OpenAI learned from personal-agent products like OpenClaw.Side note: also don't miss Abhihek's sandbox track keynote at AIE, which now powers a lot of the sandboxing for ChatGPT Work… and yes was also broken by an unreleased OpenAI model in the recent HuggingFace incident.Akshay also reflects on how AI is transforming product development itself: why more people will become generalists with a specialty, why ideas and taste become the bottlenecks when almost anyone can build, why LLMs still struggle to generate genuinely grounded new ideas, and why teams must distinguish increased motion from actual progress.We discuss:* Why Codex unexpectedly took off among non-developers inside OpenAI* Why employees felt like using Codex gave them a new superpower* The product insight that led OpenAI to build ChatGPT Work* Why Codex and ChatGPT Work share the same underlying agent harness* How their UX, Git visibility, artifacts, and sandboxing defaults differ* Why OpenAI merged its agent experiences instead of building separate products* How AI is blurring the boundaries between engineering, design, strategy, and operations* Why OpenAI wants the default model configuration to work for most users* When power users should use deeper reasoning, Ultra, or multi-agent modes* Artifacts, agentic spreadsheets, and creating high-fidelity work products* Why interactive Sites may replace decks and spreadsheets* The challenge of designing a simple interface for an agent that can build almost anything* Why users should retry tasks that models could not handle three or six months ago* How AI can gather context for performance reviews without replacing human judgment* The OpenAI automation that turns internal Slack and document activity into memes* What reaching ten million ChatGPT Work and Codex users means for the product* How OpenClaw inspired persistent environments, scheduled tasks, and personal agents* Using ChatGPT for financial planning, budgeting, workouts, meals, and household management* The design tradeoffs behind sub-agents and how much of their work users should see* ChatGPT memory, Chronicle, and long-term context* Why AI may make more people generalists with deep specialties* Why ideas and taste become more important when almost anyone can build* Why LLMs still struggle with the instruction “bring me new ideas”* Measuring productivity through quality at-bats instead of commits, tokens, or pull requests* The critical difference between AI-generated motion and meaningful progressAkshay Nathan* LinkedIn: https://www.linkedin.com/in/akshaynathan/* X: https://x.com/akshaynathan_Timestamps00:00:00 Introduction and Bringing the Power of Code to Everyone00:01:33 Joining OpenAI and Preserving a Startup Culture00:02:40 What OpenAI Learned from Enterprise AI Adoption00:05:28 Why OpenAI Built ChatGPT Work00:07:17 Codex vs. ChatGPT Work and the Shared Agent Harness00:12:07 Why OpenAI Merged Its Agent Experiences00:16:24 Models, Reasoning Levels, and Choosing the Right Default00:20:26 Artifacts, Agentic Spreadsheets, and Model–Product Collaboration00:24:22 Why Sites Could Replace Decks and Spreadsheets00:30:08 Designing an Agent That Can Build Almost Anything00:34:28 From Developer Agents to Knowledge Work—and Everyone00:36:07 Power-User Advice and AI-Assisted Performance Reviews00:40:41 OpenAI's Internal AI Memes and the Ten-Million-User Launch00:44:39 OpenClaw, Personal Agents, and ChatGPT as an Operating System00:50:24 Sub-Agents, Ultra Mode, and How Much Control Users Need00:54:39 ChatGPT Memory, Personalization, and Chronicle01:00:19 How AI Is Reshaping Product Development and Tech Roles01:03:15 Ideas, Taste, and Why LLMs Struggle to Generate New Ideas01:04:42 Measuring Productivity, Quality At-Bats, and Motion vs. ProgressTranscriptIntroduction: Akshay Nathan, ChatGPT Work, and the No-Code ArcSwyx [00:00:00]: We're here in the studio with Akshay from OpenAI. Welcome.Akshay Nathan [00:00:07]: Thank you.Swyx [00:00:08]: And with our trusty co-host, Vibhu. So you recently launched ChatGPT Work. You lead Core Product Engineering. It's been a long journey, into all this. I find it very interesting that you started with no code or low code, with Walrus and Airtable. And to some extent, ChatGPT Work is like the super app of super apps of, well, here is the ultimate no code. You just write a prompt.Akshay Nathan [00:00:32]: Yeah. It's funny how things come, full circle. I think for a long time in my career, I started my career working consumer fintech, but then after that, like, there's this hypothesis that, the things that we were able to do with code, like, as engineers, like, if we could bring that to many more people in a more, accessible way, then that would be truly magical. We were working on a startup. It's funny, like, before LLMs, before vision LLMs, on how to do automated testing with AI. It was just kinda jank, back then, but doing what we can, and then worked at Airtable for a while on the same thesis that, like, if we can bring a database or the primitives behind a database to people, that'd be really useful to them. But once LLMs came onto the scene, it became clear that, this was the missing piece, like, the missing technology required to, like, bring the magic of code to everyone without them having to know what's going on underneath the hood. And so, like, I think this launch and a lot of the stuff that we've been up to is, like, the manifestation of that.From Walrus and Airtable to OpenAIVibhu [00:01:33]: How was stuff when you joined? So you joined OpenAI 2023. Now we've got, so much more stuff, so ChatGPT, Codex app, ChatGPT Work. Have things changed?Joining OpenAI and What Hasn't ChangedAkshay Nathan [00:01:44]: I think the more interesting thing is how things haven't changed. Like, one, I joined I remember when I joined, it was, like, five hundred people. One thing I was worried about was, like, I was looking for something, more early stage and, like, was it gonna feel startup enough? And I joined, and I was like, “This feels even more startup-y than I could ever imagine.” And, like, that really hasn't changed even till now. I think the, like, level of, like, bottoms-up ambition and, like, the ability of anyone to, like, do anything or have an idea and ship it is really cool. But on the, like, mission side, I think what was really compelling to me is this mission of, bringing frontier intelligence to everyone. Like, building AGI and then bringing it to everyone. And, I think acknowledging back then that, like, that vision is gonna, not be a linear progression. Like, we're probably gonna, like, try different products and have different things that succeed and don't. But the vision has stayed the same, and the mission has stayed the same, and we're starting to see the pieces, fall together, and that's really cool.Enterprise Lessons: No One-Size-Fits-All AISwyx [00:02:40]: You worked on Enterprise. What A lot of people never touch ChatGPT Enterprise. What is something that you learned from there that you're bringing into your work now?Akshay Nathan [00:02:52]: I think how there's no one-size-fits-all solution in Enterprise. I remember in the early days of ChatGPT Enterprise, like, when we talked to customers and, like, everyone. That was, like, when I think it was a year after ChatGPT was released, and everyone was so excited to bring, AI into their enterprise. And, there were all these teams being stood up. It was, like, the AI deployment team with, like, these enormous budgets. And if you asked anyone, like, what were they excited about? Like, what were they excited about solving? Like, at first, you'd get, like, kinda like the baseline answers of, like, “Yeah, we have all this context and data and all this stuff.” But then if you ask them, like, “What was, like, a discrete use case that, like, they want AI to enable in their workplace?” You get such a different, like, variance, like, explosion of, different types of answers. And it's interesting, like, you using, like, these models and these products, you have this box, and you can say anything to it, which is the magic. But it'on the flip side, it also means that, like, you don't know what to do with it. And in Enterprise, I think a big part of that is, like, meeting the users where they are, like, what use case were they trying to solve, and then teaching them how they can use AI to, like, gain leverage there.Swyx [00:03:56]: Do you meaningfully differentiate that from forward-deployed engineering?Akshay Nathan [00:04:01]: I think there is the go-to-market side of it and then there is the product side of it. I think you need someone on the product side. And I think, like, however good we get at FDE motion, like, I think at the end of the day, if we have a user who's, like, looking at their computer or looking at their phone, like, it's our job in the product to, like, be enabling them and showing them where to go. So we're really excited about that.Vibhu [00:04:24]: Do you think there's been changes, over the past three years of adoption? So there have been, step function changes. You have reasoning models and whatnot. Is there still the same problems of Enterprise has black box, don't know what to do with it, or have things changed?Adoption, Agents, and the Next 10x MarketAkshay Nathan [00:04:39]: We're seeing now that, like, there's this huge uptake, right? Everyone is extremely excited about it. It feels like, many people are, millions, hundreds of millions of people are using ChatGPT. They understand, like, how generally to work with AI. But then, like, every time, like, a new capability gets unlocked, so now, like, we're seeing with agents, like, there is probably a contingent of, like, early adopters still who, truly get it, who are like, “ we you can do anything. You just have to make sure the right context is there, it's connected to the right tools, and that you are supervising it, but, like, anything is possible.” But then there's, like, this, like, 10x or 100x bigger market where, like, they don't yet get that, or they don't yet see that. And so I think that's the next stage here. So to answer your question, like, I think the adoption is there and growing fast, but I think the opportunity is, like, far bigger than that. That's where we wanna play, especially with ChatGPT Work.ChatGPT Work, Codex, and the Super App MergeSwyx [00:05:27]: Yeah. well, let's, let's skip ahead to ChatGPT Work. only, like, a month ago or so, announced. what was the decision process that led into it? there was this, overall merging of the super app. Is that what we're officially calling it? you deprecated the browser as well. Just, summarize your last, like, couple months of working on this thing.Akshay Nathan [00:05:50]: Yeah. It feels like forever now, but it's only been a few months. I think maybe the one, impetus that, like- Is most salient is when we release Codex, or even internally had Codex, like, it was really surprising to us, I think we recently put out some stats on this, that there was this, like, real inflection of, like, adoption among non-developers at OpenAI. And, I, through this product development process, like, would go to, like, these UXR sessions to talk to people internally. And the thing that stuck out to me is, like, one, like, you go talk to, like, strategic finance or marketing or whatever, and they're all using Codex for, their use cases. That part's cool, but the thing that really stuck out to me is how proud people were that they were using Codex. Like, how, likeSwyx [00:06:34]: It's like, “I'm not supposed to be using it, but I am.”Akshay Nathan [00:06:36]: It was that. It was, like, that they were, early to this, like, new thing, but it was also this thing of, like, they felt like they had a superpower, right? And, what we recognized then is that, like, the power of Codex, the power of agents, like, we already had this massive distribution base of people who have, come to know and love ChatGPT. Like, how do we show that to them? Like, how do we bring it to them? Which is, like, a hard product problem, and it's, like, a tricky thing, right? There's many ways you can go about it. And so that's what we called the Merge and the Super App over time, and ultimately launched it in ChatGPT Work, is how do we do that? But it came from that initial realization that, like, the power was not only for developers, like, much earlier than probably even we thought. Like, it could be extended to everyone.Swyx [00:07:17]: How do you see the products differently? So, like, who is it for, right? So Codex started out even CLI, then app. Now there's a merge of ChatGPT Codex and ChatGPT Work, so is it the opening for the average user, for enterprise, for work? How do you position it?Akshay Nathan [00:07:36]: I think we want to get it to position it for if you're doing work-related things, for lack of a better word, right?Who ChatGPT Work Is ForAkshay Nathan [00:07:42]: I think productivity is what, like, the pillar that I support. Like, that's the name of the team. And the reason for that, the reason we call it productivity and not, like, enterprise or, like, work or something like that, is because there's also personal productivity, right? And, like, I think ChatGPT Work is I've seen people do things in their personal lives that you wouldn't classify as, like, work technically, but, like, these agents are, super capable for. Like, one recent example that someone posted about, on our Slack is, like, someone had, like, a missed package, like they didn't receive it, and then they got, like, the picture of it, from Amazon or whoever the courier was, and they, like, asked ChatGPT Work to, like, find out where that package is. And, like, the agent, is extremely tenacious and, like, took the image and, like, looked at a bunch of, like, listings around their neighborhood and figured out exactly the apartment complex in which the package was, like, gave them some information. And so, like, I think there's all these things that, like, you, work-related or productivity-related things, I think that's what we want the product to be. You asked about Codex. I think we think Codex is, a durable brand, but we have a principle that, like, the user we don't want a user to get stuck in a tab or an experience where they don't get the power of the product. And so, like, everything that you can do, in the Codex portion of the product on desktop, you can do in ChatGPT Work and vice versa. But we made some opinionated product decisions on, like, how much of the Git state, if you're in a Git repo, do we wanna expose to the end user? Or how much do we wanna make the experience of seeing the agents thinking, like, diff forward so that you get exposed to the diffs out of the box. And then, like, on the safety side, like, how do we wanna think about, like, sandboxing and making sure that we have the right defaults in one state versus the other? So, there's, like, some opinions that go behind that, but we do want We don't want the user to need to choose which experience they're in.Swyx [00:09:26]: That is a good goal for AGI, right? Like, people don't want, like, to hide to choose what version of AGI they want. They just want the AGI to decide for them. can I get an answer or, like It's not super clear to me. Is the Codex harness and the ChatGPT Work harness the same? Is it just UI affordances, or are there prompt level or even deeper differences?Shared Harness, Different UX: Codex vs. WorkAkshay Nathan [00:09:49]: So the harness is the same. The harness is shared. on In both of the products, we made improvements to the harness to make it good for knowledge work, especially as it relates to plug-ins or computer use or artifacts. You get that power regardless of which experience you're in. On the UX side, there's opinionated takes that we have when you're in Codex mode, what the UX should be how the UX should behave, and some stuff around the sandbox like I mentioned, but the underlying harness and capabilities should be the same.Swyx [00:10:16]: I'm just kinda curious. Maybe we can, -- Is there a query that we can run that would look different in the two modes?Akshay Nathan [00:10:23]: Yeah. I tried to create, like ask it to create, like, a retirement calculator spreadsheet or something, in both modes. And then in Codex mode, you might have to be in a repo for this, but you'll see, like, the diffs of, like, the sheet that it's creating and stuff like that, and the file edits. But in Work you won't be able to see that.Swyx [00:10:42]: I think that's, that's super clear. And then also the other thing I wanted to dive into was your, the productivity team. what else is there? first of all, what are the top-level teams other than productivity? Isn't productivity everything?Productivity Teams and Core ChatAkshay Nathan [00:10:55]: SoSwyx [00:10:55]: Science?Akshay Nathan [00:10:55]: We have a team focused on ChatGPT. Like, the core chat experience, for consumer, which is like, not, I think all productivity. Like, there'People are using ChatGPT every day for search to, figure out how to write messages to loved ones, to think about, how to, like, learn a new topic, et cetera. And so there's so much more inside to create images. And there's so much more in chat that, the hundreds of millions of users are using that warrants, like, a very dedicated effort. And there's teams focused on enterprise and infrastructure and API and stuff like that, so.Swyx [00:11:33]: I will bring it up.Retirement Calculator Demo and Git-First UXSwyx [00:11:34]: Yeah. So I have them both running. This is ChatGPT Work. There's a Codex version here. I picked “Five Little Ducks” song, so this will take a while.Akshay Nathan [00:11:43]: Huh.Swyx [00:11:43]: I think we'll just keep it in the background and, as they finish, we'll look into some of the differences.Akshay Nathan [00:11:48]: Yeah. But immediately, I think if you flip back to the Codex version you'll see that,Swyx [00:11:53]: That it assumesAkshay Nathan [00:11:54]: Like theSwyx [00:11:54]: It assumes Git. Yeah. Yeah.Akshay Nathan [00:11:56]: The, like, dynamic island assumes that you're in a Git repo. And you might miss some stuff because some of it is, like, in the actual chain of thought with those changes and how we display that, but yeah.Swyx [00:12:07]: Is there an unintuitive like, is there a thing that you wanted to ship and then you got feedback, and you were like, “No, let's not do it?” Like, what's the thinking behind that?Why Merge the ExperiencesAkshay Nathan [00:12:14]: In, ChatGPT Work?Akshay Nathan [00:12:17]: I think one direction we could have gone with this is, like, keeping the experiences, like, completely separate. So it's like, whySwyx [00:12:22]: Different apps.Akshay Nathan [00:12:23]: Exactly, like different apps or even in the same app, like different, completely different experiences. Like, why merge it all? Like, what is. Codex, people love. Like, why bring these products together? And I think the intuition here is that, like, all of our jobs are, like, changing dramatically with AI. Like, for, like, every few months, like, I feel like I wake up, and I'm, like, doing a completely different thing than I was doing a few months ago. And my hypothesis here is that, or I should say our hypothesis is that, like, part of what we're, we're building, this technology is giving people leverage. Like, the things, maybe it's the more mundane parts of your job or parts that, like, if you were able to automate, you'd be able to share more ideas faster or whatever, like, you're able to do now. And because of that, like, that might blur the lines between someone who's, like, only writing code or creating strategy docs or, planning events or, helping with marketing or doing podcasts or whatever, right? And so, like, these things are gonna get blurred over time. And so, like, trying to draw a hard boundary based on, like, the who you are is gonna be, is gonna be tough. And, like, we should enable users to choose, but we shouldn't box them in. And so a lot of the work that went in here, like, keeping the primitives the same, like for example, plugins are, like, unified across, this product and ChatGPT and the cloud, was because of that. It's this thesis that, like, eventually things are gonna come together and we don't wanna be Like, we wanna be prescriptive about when to be in either experience, but we don't want to box anyone in.Swyx [00:13:45]: I wonder if there's users who are very tuned to the old ChatGPT harness that is effectively now replaced by the Codex harness. I can't imagine what that was, but maybe they're more the more conversational side. Can you compare and contrast the two harnesses? ‘Cause only you've seen it.Akshay Nathan [00:14:02]: Yeah. I think ChatGPT, the existing harness, like, still exists today. Like, it exists in this app,Harness Engineering: ChatGPT vs. CodexSwyx [00:14:08]: The classic, right?Akshay Nathan [00:14:09]: TheVibhu [00:14:09]: You just start a new chat, and you don't go under Work, right?Akshay Nathan [00:14:13]: Yeah. If you startVibhu [00:14:13]: SoAkshay Nathan [00:14:14]: A new chat and go to chat, then you're, you're talking to ChatGPT with the instant model.Vibhu [00:14:16]: Oh, we can technically do another. But on instant.Swyx [00:14:21]: Yeah. So this one's not gonna code or it's gonna be in line. It's on a in line in a sandbox.Akshay Nathan [00:14:26]: It'llVibhu [00:14:27]: Oh, that's coolAkshay Nathan [00:14:27]: We try to push you to go to Work if you're creating a spreadsheet. Yeah, but this isSwyx [00:14:30]: And this is a router decision? Sorry. Is it a router decision?Akshay Nathan [00:14:34]: This is the decision that, the model is making, and then, like it sees that you're able to. or you're trying to do something that would be better served in Work mode. But I think your question was like, what are the advantages of, like, the chat, like ChatGPT chat harness?Swyx [00:14:48]: It's more broadly, like, I wanna, do an oral history of harness engineering. Right? the ChatGPT harness lasted us from, let's call it the ‘01 era, until now, and now it's being replaced by the Codex harness effectively. And they're, they're overlapping somewhat, but I'm curious what changed if there is.Akshay Nathan [00:15:10]: My perspective on this is, like, there's, there's, there's there's like a constant process of, like, divergence, convergence, divergence, convergence. And in chat, like, many of the use cases I was talking about before, like, search or learning, I think we're, we're really optimizing for latency and optimizing for personality and, like, different things that, over time, like the product The reason people love ChatGPT is because we've been optimizing for those things and working on them for so long. Codex, what we learned was that, like, if you give the agent access to this infinitely flexible environment as a computer, it can do really powerful things. And so when we think about, like, okay, well, for knowledge work, like, what is which mode should we choose? It was like it felt more natural to us to bring that to this, like, computer environment and, maybe abstract some of the details of this computer away from users who might not be used to that, but, like, give them that same power. But ultimately, I think that we want the power in all places, right? We wanna meet people where they are. So I'm sure there'll be work down the road in order to get things to be, equivalently capable in all scenarios. But it's just a question of, like, what we've been focusing on the product on historically and what we're focusing on now.Models, Defaults, and the Reasoning SliderVibhu [00:16:24]: I think alongside that, outside of just harness and when to use Codex, ChatGPT, or Work, there's also the new models you've released, right? any guidance there? So people love to min-max what to use, like only use Terra on high reasoning versus, for this, you wanna use Sol here, ignore all theseAkshay Nathan [00:16:44]: There's 32 options.Vibhu [00:16:46]: But, that being said, for people that are expanding, so, productivity trying stuff for work that don't have the breakdown of what all this is what's, what's the advice, right?Akshay Nathan [00:16:59]: Well, I think before the advice, like the first thing is, like, none of this would be possible without these models. Like, the, I think you asked earlier, like, what was, like, the inspiration for work and, like, early on, like I mentioned, like, what we were seeing with Codex, but that was also because the models were getting infinitely more capable. That's happening again. I think it's like another step function jump now. And to answer the question on advice, like we want this default to be the best possible. Like, we wanna be opinionated about the default, and so we've we've chosen a default that we think is gonna be the best for everyone. And, we have for power users options under the hood. We could One could argue that there might be too many right now, and we're, working on simplifying it. But you can extend, the reasoning level, and you can change between the different model classes if you need to, but the default should be the best for most use cases. So my advice to most people would be to stick to that. And then, if you reach a situation in which you think that you could, you wanna try, a different configuration, if you're not seeing either the efficiency on the cost side or the quality on the intelligence side, then you can change the defaults and see if you can get something better. But we think that the default should be good enough.Swyx [00:18:09]: I have, I'm just gonna run something by you since you have way more experience than me. I've recently been doing Sol Lite but with goal, with the idea that the goal augments the reasoning effort, but with more terminations and turns.Swyx [00:18:24]: Is that a good way to think about it as opposed to Sol Ultra or Sol, Extra High?Akshay Nathan [00:18:29]: Yeah. It's hard to say becauseSwyx [00:18:31]: Yeah. It's like an interaction effect.Akshay Nathan [00:18:33]: exactly. It's like there's a preference on, for you as an individual, like how do you like to collaborate with the models? Like how many of those like terminations, as you call them, do you want where, you can steer or make sure that it's doing the right thing?Akshay Nathan [00:18:46]: I think generally people should try whatever works for them. I think that like using Ultra or the like multi-agent setups are best for like when you have like tasks that are either incredibly complicated, like open explorations or very paralyzable. I think even for tasks using goal, I think is best for tasks that you'll be able to make consistent progress in a way that's verifiable over time. But I think for most tasks, they don't fall into either of those buckets. And so like at least when they're starting, and so that's why I think the best first step is like trying it with the default configuration and then seeing like where you wanna go from there.Swyx [00:19:29]: Right. You guys worked on a slider, which is super helpful for reducing the amount of panic.Vibhu [00:19:36]: It's nice on mobile at least. There's a nice slider there.Swyx [00:19:38]: It's nicer.Vibhu [00:19:39]: I haven't tried it.Swyx [00:19:40]: So you have the advanced view there, but if you click advanced view. Yeah.Vibhu [00:19:44]: Ooh, it's just a nice slider. Yeah.Swyx [00:19:46]: Very pretty, very colorful.Akshay Nathan [00:19:48]: Yeah. The idea was here was like reduce it to like one dimension even though there's multiple dimensions, right? Try to project it onto a single dimension for the user. Like, something from that represents like, speed and efficiency on one side and then like quality and thoroughness on the other side.Artifacts, Spreadsheets, and the Work LaunchSwyx [00:20:04]: I am just puzzled that it uses Sol so much, like the lowerVibhu [00:20:07]: NoSwyx [00:20:07]: Grounds I would've usedVibhu [00:20:08]: I think the slider, if I'm not mistaken, isSwyx [00:20:09]: Terra.Vibhu [00:20:10]: Oh, it is.Swyx [00:20:11]: Yeah. See? So they preset Terra to only be the light one. But like I think a lot of people would more people should use Terra. One, because Sol keeps running out of capacity.Vibhu [00:20:22]: I'm the reason. Here's ten minutes of ourSwyx [00:20:24]: There you goVibhu [00:20:25]: Retirement calculator.Swyx [00:20:26]: Oh, that's the Excel thing working for you.Vibhu [00:20:28]: This is,Swyx [00:20:28]: Oh my God. Look at thatVibhu [00:20:28]: This is work, and then Codex is still cooking, so we'll get back into it. I think it'll be interesting to see the thought process, the reasoning, and also, this is eight minutes on work. Codex is still cooking.Swyx [00:20:41]: Yeah. And by the way, so I've, do Gabriel Chua? He's part of the OpenAI Singapore team. He showed me this, and I was like pretty shocked that this looks like Excel. It edits Excel files. You never paid an Excel license, right? Like, but somehow this is like workable and it's agentic Excel.Akshay Nathan [00:21:01]: Yeah. one of the big like pushes that we made for this launch was like artifacts, right?Akshay Nathan [00:21:05]: Like both on the model side, like I think if you compare this with GPT-5.5 and GPT-5.4 before that, you'll see that there's been pretty dramatic improvements in the quality of these artifacts and then also on the product side.Vibhu [00:21:16]: The UX side is also crazy, like hosted sites and whatnot. No longer needing to host your own little webpage, like itSwyx [00:21:23]: Oh, I have a story about that. I can do, a separate thing. I'll need to take the visuals here, but we-we'll, we'll cut to that later. Was there co-training, because you were moving making this big move and you launched GPT-5.6 on the same day as ChatGPT Work? Was there influence between the model training teams and the harness teams, or did they did the launch dates just happen to line up the same day?Akshay Nathan [00:21:46]: I think the we collaborate heavily with the research teams, and I think that's like one of the most magical parts of the job, like the most fun parts of the job. But yeah, just using artifacts as an example. Like, a lot of what you're seeing, like underneath the hood, there's a lot of work that went into making sure that like, we had the right infra to be able to train the models to get better at this. And then on the product side, like had the right experience for users to be able to collaborate with the model on an artifact like this. In fact, like this whole viewer, like the intuition here is that like, it's not necessarily that you wouldn't need an Excel license. This is stage one, right? Like, this is probably not what you meant when you're like making a retirement calculator.Vibhu [00:22:24]: Yeah, you can iterate very easily. Yeah.Akshay Nathan [00:22:24]: You wanna iterate and like when you're seeing it, and if this thing is high fidelity to like what you would see in or what your coworkers would see if you were to send this to Sean, like that I think makes it so easier and makes you trust the product in terms of iteration.Vibhu [00:22:39]: When you say coworkers would see, do you see a multiplayer, multi-team collaboration with artifacts? Any things you guys think about that?Multiplayer Artifacts and CollaborationSwyx [00:22:46]: You can already share it, right?Akshay Nathan [00:22:48]: Yeah. It's inter It's something that, we're actively thinking about. one thing that, we've noticed internally without talking too much about the roadmap is that like there's many times when someone will ping me about something, and I will ask ChatGPT Work the question, and then I'll ping them back the answer.Akshay Nathan [00:23:04]: And then I'll be thinking likeVibhu [00:23:04]: Like the simplest would be, the three of us are just all on one hosted.Akshay Nathan [00:23:07]: Exactly. And I'll think about like was I required in this loop or and then maybe it was, rephrase like what they were asking or pulled from certain context or whatever. But like, when I gave them back the answer, that process was also lossy, right? Like I gave them just like my interpretation of what ChatGPT Work cooked up. But like underneath the hood, there's so much context like in the rollout and stuff that could be interesting.Vibhu [00:23:28]: Yeah, it'sSwyx [00:23:28]: So like the answer was preemptively respond to every inbound request?Akshay Nathan [00:23:33]: No, it was just like literally like this is what I do sometimes as my job.Swyx [00:23:36]: I know you copy-paste and then you're just a message forwarding serviceAkshay Nathan [00:23:39]: Yeah. Yeah, exactlySwyx [00:23:39]: From AI to AI.Vibhu [00:23:40]: But I think it's interesting, right? It helps people understand the capability of what you can ask and delegate that oftentimes people don't realize until they try or someone shows you, and then you're like, “Oh, okay. Okay, I see.”Swyx [00:23:52]: I think it's als there's also like a, light security issue, where like you're the permissions layer. Like yes, I could query everything that you query, and I could get an automated response, but maybe I'm not supposed to see it. And that there's no way I would know because I'm not supposed to know what I don't know.Akshay Nathan [00:24:07]: Especially as like, with ChatGPT Work, we're, we're asking you to connect your plug-ins and, it's pulling from your local files and stuff like that. Like the amount of context that the agent has access to is like- Deeply personal and like that's something I think we need to preserve, so that'll be definitely a challenge.Swyx [00:24:22]: There's Excel, there's PowerPoint, there's Docs, the, grand trio of work. What other formats of work do you think about? like you worked on Airtable. Is there a future where there's like OpenAI Airtable? Like what does that look like if you ever ended up doing it?Akshay Nathan [00:24:41]: It's a really good question. I think,Formats of Work: Sites as Knowledge ArtifactsAkshay Nathan [00:24:43]: one that you didn't bring up was Sites, and I think that wasSwyx [00:24:46]: SitesAkshay Nathan [00:24:46]: A core part of this launch. There's one side of Sites that I think people commonly talk about, especially on Twitter and stuff or X, of like, this like prototyping tool. And like we saw that happen with this launch even. The model slider that you guys were referencing earlier, like that was developed almost fully in a Site. Like, the collaboration between design and engineering and product on that was like on a site where we play with, the affordance and figure out how it feels and all of that. But the other aspect that I think is a little bit less talked about is like Sites as like an artifact for knowledge work. I was talking to someone the other day who's on like our corporate finance team, and like we were mentioning how like now when they have these reports that they're, they're working on as a team month to month, historically those things were in slide decks and in spreadsheets, and now they're just in Sites. And like Sites is the mechanism that they collaborate across the team. And the reason is ‘cause it's like, it's like somewhat higher bandwidth. Like, at these tools like PowerPoint and Excel are like infinitely flexible, but at some point you reach the boundary of like either as a human you may not know how to use some feature or something, or the product itself doesn't support it. But with a site you can do anything. You ask for anything and you can get that. once people see that magic, I think it's been really valuable.Swyx [00:26:02]: Yeah, let me show you my case study. this involves all the hot topics including ChatGPT Work, but also GPT-5.6 token billionaires and token maxing and Sites and auto research. I'm a fan of this game called Strata. It's, it's like a little board game that youSites, Auto Research, and Research DashboardsSwyx [00:26:17]: That you play with, physical blocks, that come on top of it like that. So over the weekend I took like thirty photos and just threw into ChatGPT. one point seven billion tokens later, out comes this site with a fully playable thingAkshay Nathan [00:26:32]: WowSwyx [00:26:32]: With 3D, block placement and everything. Because it requires physical blocks and I needed friends to train on it so they can get better, so I can play against them. But also, I could also, do things like train an AI on it and that's, thatAkshay Nathan [00:26:45]: That's your auto researchSwyx [00:26:46]: That gets into auto research. So, you want to train your own AIs, and then make sure they self-play against, each other. I need to set both AIs. So this is AI versus AI, and they're, they're gonna self-play. the AIs start out bad and then you want to define a loss function and get good. I wasn't gonna supervise all this. I was at, I was down in San Mateo, attending a conference. What I ended up doing was, auto researching and on this and creating benchmarks and that there was just way too many parameters for me to read. So I started asking it for a site, and it's created this lab, panel. Where is there a, is there a shortcut for a site that is created?Akshay Nathan [00:27:28]: You should be able to go in the sidebar to Sites, top of the sidebar. The left sidebar.Swyx [00:27:33]: This one? Oh, left?Akshay Nathan [00:27:35]: Yeah. Just scroll all the way to the top.Swyx [00:27:36]: Oh. Oh, it says Sites. Oh, there you go. Yeah.Akshay Nathan [00:27:39]: Ooh.Swyx [00:27:40]: So it create, it creates the sites. I don't, I don't think this is, it is exactly what I wanted, but let me show you what it popped up, right? Like I think as a research artifact, it is very important to communicate, exactly, what is being done. Outputs this thing which I eventually started publishing. So I moved it off of Sites because I wanted more, database and infrastructure than Sites afforded me. But this is like a research output that you can start to mess with and like try to think about like what hyperparameters are you tuning for training AIs. And like I was trying to make like scaling laws and everything and doing all sorts of like game optimization stuff. And the fact that you can just throw this up as a research artifact, like I no longer need to read ChatGPT output. I read Site output. But then there's also a huge sprawl. Like look at how long this thing is. There's so many numbers. It is pretty overwhelming, so then I have to start pruning it from there. But, it's an interesting transition from Markdown effectively that you're putting out to, you're putting out a whole functional site.Akshay Nathan [00:28:41]: I think Markdown just isn't that optimal for people to read, right? Might as well just write HTML website and I don't know. I think you can do a lot with customizing this, right? You have your skills that explain what you want. Like I noticed they're quite verbose. I don't need a lot of this information.Swyx [00:28:57]: It's very verbose.Akshay Nathan [00:28:58]: So and then the nice thing of having a site side by side is, you just iterate on what you want and what you don't, right?Swyx [00:29:05]: Yeah. I don't know if, any that triggers any stories for you of how it's run internally. Am I doing this right?Akshay Nathan [00:29:11]: Yeah. I think that this is like a workflow that we're seeing like all different types of teams use, where like the canonical artifact that was previously a deck or something is now becoming a site. And like with a site you, because it's just HTML, you can like. It's infinitely flexible. And so, if you want to give more prominence to a certain thing that like in a slide deck would, feel like it was buried, like you can do that. You can have it be like the hero image, right? And so I think that like, people are starting to see that. There's more work to be done to make these things like much more easier, easy to collaborate on. You mentioned that they're very, they're long and verbose, could be broken up. I'm sure that there's still something to do there.Swyx [00:29:53]: They're super long. Yeah.Akshay Nathan [00:29:54]: Yeah. But I think we're starting to see that like there is this aspect of this is a really interesting, format, for people to use, that's like much more flexible than what they ever had before.Swyx [00:30:07]: I think your job also comes becomes meta. You're not designing the products. You're designing a product to make products, and I'm curious how you manage that.Designing a Product That Makes ProductsAkshay Nathan [00:30:18]: I think one thing that we've been Like when we look at the UX, like that we've been thinking a lot about is how can we balance like simplicity with capability? Like if we're designing a product, like you said, that like is made to make up build other things, right? You can build so many different things. But we can't put that all in front of you because you'll get overwhelmed.Vibhu [00:30:41]: Yes.Akshay Nathan [00:30:41]: And so we had similar problem or similar challenges even Chat-with ChatGPT, but especially now, like when there's so much that can be done, I think the balance that we're constantly trying to strike is like, how can we give the user enough of a UI surface where, they can be expressive, they can tell the agent what they need, they can verify that it's using the right tools, it's pulling from the right sources, et cetera, but then it gets out of the way. And then how can we build the right system such that we can show them instead of telling them what can be done? Because so much of this is gonna be like, how do they discover the next use case and the next one after that if they really want to be super powered by the AI.Games, Private Evals, and Show-Don'TellVibhu [00:31:19]: Yeah. It's interesting. I feel like everyone also just has a different way to do it, right? I made a similar version of this same game. I didn't take any pictures of board or rule game. I threw in at goal eighteen minutes, fifty-three seconds later, a lot of tokens later, I've got a similar version. not with all the auto research and whatnot, butAkshay Nathan [00:31:39]: You gotta do all the latest trends.Vibhu [00:31:40]: And yeah, I did it with, did it with Codex, not Work, but it's interesting, right?Akshay Nathan [00:31:45]: Yeah. And this is GPT Image generating the pro avatars. Very good for game design. LikeVibhu [00:31:51]: AndAkshay Nathan [00:31:52]: A lot of game designers were like really into GPT Image for assets.Vibhu [00:31:54]: I will say like the broader takeaway probably is the reason that we do this is more so just to test the tools, right? Like, this was also a test for GPT-5.6 came out. I had done the game on GPT-5.5, right? The ability for me to no longer need it to. I had to feed it the rules. It's, it's a pretty niche game. It couldn't find how to do this on its own.Akshay Nathan [00:32:15]: Oh, yeah.Vibhu [00:32:15]: GPT-5.6Akshay Nathan [00:32:16]: It is out-of-distribution, which is why I was also very keen on testing the GPT-5.6 capability.Vibhu [00:32:21]: But, this is just as work comes out, as new things come out, these are just our side ways to test things, right?Akshay Nathan [00:32:27]: Yeah. It's some private eval. That is not this private.Vibhu [00:32:31]: But also valuable because now you can send this to your friends and I learned about this game through seeing this.Akshay Nathan [00:32:36]: It's a hard game. He's very good.Vibhu [00:32:39]: It's good to when no one is competing with you. But yes, it's a classic RL problem of like self-play, bootstrapping your game AI. yeah, you see how easily work becomes personal and personal becomes work because the thing I do for personal, it directly informs people I work with because I showed it to them. They were like, “Oh, you can do that with GPT?” Which like I imagine is the growth strategy.Akshay Nathan [00:33:02]: Yeah. The show not tell is a big piece that, I think we've we're not still not fully cracked of like, showing people all the things that they can do with the product versus like trying to teach that to them through like, articles or onboarding or whatever.Akshay Nathan [00:33:18]: So meeting them in the moment.Vibhu [00:33:19]: It's a career risk for me, because I used to be in developer relations, right? Where your job is to show, and then you're like, “What do you mean? You don't, you don't need.” your job is to tell. And then. But the product people are like, “Well, we don't need you if our product is intuitive enough.” SoAkshay Nathan [00:33:37]: Yeah. that's the magic of the models. So you can tailor the telling or the showing to like specifically what the user needs, like what they care about, what they've done in the past, exactly where they are on the adoption journey. So I think that's like gonna be a super big opportunity.Vibhu [00:33:50]: Seems easier and easier now to tailor custom showing, right? People have different use cases. As much as you said you don't wanna segment different people into different buckets, right? It's also not that hard to for people that are in different categories. But the question, is you said your team is more broadly on. What was the term you used? Productivity?From Developers to Knowledge Work to EveryoneAkshay Nathan [00:34:12]: Productivity.Vibhu [00:34:12]: Productivity. So howAkshay Nathan [00:34:12]: Which is now work.Vibhu [00:34:14]: Is it work? Is there another distribution that we're not hitting? Is there a group of people that will have something different than ChatGPT, Codex or Work? Is there more that the mass isn't targeting?Akshay Nathan [00:34:28]: I see it as like a sequencing, like. The vision is like bring useful agents to everyone. We started with like developers. Like developers historically are like early adopters that are willing to put up with more friction, set things up, et cetera. Like that's where, Codex started. I think the next opportunity is like what we call general knowledge work, all the other functions around developers. I think when you go from developers to this segment, like there's inherent challenges with like, this show not tell thing that we're talking about, making the product more understandable, bringing in new capabilities that matter more for this cohort than matter for developers, things like artifacts, things like computer use, et cetera. And then I think like the same learnings, like similarly how we took the learnings from developers and brought it to, general knowledge work, the next stage will be like taking the learnings from general knowledge work and bringing it to everyone no matter what they're doing in their lives. And we're already seeing that a little bit. Like this game example that you have is, something that's like on the border of like fun and personal life to, your professional life. I use ChatGPT Work full-time at home for everything, like for whatever I'm doing. I used it the other day to come up with a meal plan and like, save that on the like computer environment that it has and something that I can continue going back to. Like is everyone doing that yet? Probably not because the thing says work on it, but eventually, we wanna get people there.Vibhu [00:35:51]: ChatGPT life.Akshay Nathan [00:35:52]: Yeah, exactly. ChatGPT cooking. But I think there's a lot of, there's a lot of opportunity there, but I see it as like, we're, we're built we built a foundation in software engineering, and we're gonna take the same learnings that we take from software engineering to knowledge work to everyone.Vibhu [00:36:07]: Do you have any power user advice? I feel like, there's a group of people that will live it, use it for everything, stay on it twenty four-seven. And then there's a bit of a gap between that crew and people that, okay, I use it for work. I use it occasionally. Sometimes I type questions. any advice, any learnings, anything you recommend or just, takeaways that you've found that help bridge that gap?Power User Advice: Push the Frontier of ImaginationAkshay Nathan [00:36:30]: I think a couple things that I've seen is like, one, that it really helps to broaden your imagination of what's possible, and this has been a learning even for me. Like, the technology has progressed so fast that, something that, like, even three months ago, like, no way the models can do this. Like, now it's like, wow, it's like it can. Like,Swyx [00:36:52]: Give an exampleAkshay Nathan [00:36:52]: We're going through right now our, like, review cycle internally, and, people always talked about this as, like, a thing that the models are good at and like, there's a cliché of like: Okay, like, no one wants to be writing reviews and, like, we just use AI to do it. But in all seriousnessSwyx [00:37:09]: And it can evaluate it as well.Akshay Nathan [00:37:10]: Yeah, exactly. In all seriousness, before it was, like, just, like, slop and, like, I think it was helpful, but, not super productive. Now I've found that, like, the model can do a much better job than me, especially in this environment of, like, pulling context on, like, what people are up to, how they've like the things that they've done to make a difference, highlighting like, wins that they've had that, like, I might may not even have seen. It has access to, like, everything, right? Like the code, like, things that they've caught, reviews, Slack, everything. And so it's, like, incredibly powerful in that domain and, like, just like six months ago, the last time we did this cycle, like, I didn't even I tried using it, but it was not at all helpful. And this time it's been, like, incredibly helpful and, like, so I think continuing to push the frontier of imagination of what's possible, even if you tried something before, I think is maybe the my biggest piece of advice. The other, thing is, like, the more you put in, especially in this environment where, like, the model has access to everything on your computer or in ChatGPT Work, like you can create, artifacts over time and save them in your library and, like, the model will continue having access to those. Like, the more information you give it about whatever domain you're in, whether it's your life or your work, the more valuable it becomes, and it'll become valuable in, like, ways that might surprise you. Like, it might pull from context in a way that, may be proactive and that you might not even have thought about. But it needs to have access to those, to that those tools or that context first.Reviews, Agentic Search, and Context GatheringSwyx [00:38:27]: One thing I just wanna talk about the review stuff because I'm still that's a very sensitive thing and you're, you're a founder, you've managed people, you've hired people. As manager myself, I'm very reticent to put out any LLM-generated things especially when it comes to people, ‘cause it feels like you don't care.Swyx [00:38:46]: Presumably at OpenAI, people are more open to being eval rated by GPT. But are there any unofficial rules around this? Like, what's the etiquette?Akshay Nathan [00:38:57]: Oh, I think the etiquette is that, like, I would never write something via, like, well, solely via AI and, like, present it as, like, a review for someone. What I was talking about is more, like, gathering context. That's the place where it's incredibly helpful.Swyx [00:39:08]: So it's just search.Akshay Nathan [00:39:09]: Yeah, exactly.Swyx [00:39:09]: It's agentic search. Yeah.Akshay Nathan [00:39:10]: It's like agentic search, but, that you can tailor and steer much more capably than you could before, ‘cause, like, the thing is it's all there's a flywheel happening, right? Because of Codex, people are able to do, and because of ChatGPT, people are able to do so much more now than ever before. And if you're able to do so much more, it's easy to miss things as well. And so, like, I think we need to use these same tools to keep up with all the impact that people are having and understand, where we can be helpful.Swyx [00:39:39]: I think the thing, like, I run a small company, so easy to search, but at the scale of OpenAI with the amount of messages that you guys put in Slack, do you think that it misses things?Remembering What Humans MissAkshay Nathan [00:39:50]: Probably, but I think that I also miss things.Swyx [00:39:52]: Like, it doesn't matter, right?Vibhu [00:39:53]: I think sometimes it'sSwyx [00:39:53]: Like it's, as it needs to be human-levelAkshay Nathan [00:39:54]: It's all relative, right? Yeah.Vibhu [00:39:56]: Sometimes it's nice when it finds things you wouldn't, right? Like right now, my Codex system prompts, they're set up in such a way that every project I have has a secret- separate, notes MD, and it just writes learnings to there. And then the global one can pull from all these. So sometimes it'll be like: Oh, there's this project you did like four months ago. Here's a note that we had, and it randomly pulls it back into context that I would never do, I haven't thought about.Vibhu [00:40:20]: And I'm like, okay, this is quite superhuman, right? Like, stuff that would. And, it'll save like hours on chunking of stuff or find something that's already been done. I'm like, as much as it might miss stuff, I would too, but it's very useful when it finds stuff. And I have like a very, non-super engineered solution to this. It's just marked down files that get pulled whenever they want.Akshay Nathan [00:40:41]: Yeah. I have a funny anecdote about this. Like, recently gearing up to this launch, the team has been, really cooking on it for a couple months, and over that time, like there's so much conversation and chatter going on in Slack and Docs and elsewhere. And, one of the members of the team set up this, scheduled tasks, like automation to like look at everything that's going on and, like, come up with the best memes and then post it in one of our shared channels. And like, there are two cool things about this. Like, the first is, like, I think the models are, over time, like starting to become like funny.Swyx [00:41:13]: Funny. Nice.Akshay Nathan [00:41:13]: Whereas like, a year ago, like that was not at all the case. The second is, it was what you were saying, like they find things that in surprising ways that you may not have thought of and like create connections that you may not have thought of. And that really helps with like the meme generation because then you can see something that, genuinely surprises you and, is funny in that way. So yeah, that's like not like the most productive, use of this the technology, but it does it does uncover this, like this capability that's emerging, which is just like to find information that you otherwise would not know of.Launch Momentum and the 10 Million User MilestoneSwyx [00:41:43]: Talking about the launch, I think, I have pretty much said this is the most successful launch in a long time. I think even more successful personally than 5.0, and they're announcing ten million users. Does it feel different? You've been through a lot of launches.Akshay Nathan [00:41:58]: I think it feels like a culmination. Well, I think two things. One, it feels like a culmination, like I was mentioning earlier, like this like vision mission that we've been on for a long time. Like I said, we saw the magic of Codex internally, and then we're like extremely excited to bring this to many more people and to see it working, to like see us reach, the distribution goal, numbers that you mentioned, like I think that's like huge and super exciting. The flip side of that is like, there's so much more to do too. Like, that's also really exciting. Like, ChatGPT as a whole, like the this product that, everyone almost equates to AI and like loves, has hundreds of millions of users. And so like ten million is really cool, but like we need to get this to everyone. Like, we need everyone to feel this magic. And so that's the next step from here. But yeah, I think extremely pumped about how it's going so far and the opportunities.Swyx [00:42:46]: Awesome. I did want to also Because I've, I've, I've been tracking the number closely, it transitioned at some point from just Codex users to Codex plus ChatGPT Work, because they're same harness. The whole point is that you don't, you can't, count them separately. Do you have roughly a billion, ChatGPT users? Why did it just jump to one billion right away? Like, isn't that the default on ChatGPT or no?Codex, ChatGPT Work, and the Developer BrandAkshay Nathan [00:43:11]: We don't default you into ChatGPT Work if you're on ChatGPTSwyx [00:43:14]: If you're free. YeahAkshay Nathan [00:43:15]: It's also only available to paid users right now. And I think there's like a process of, educating users of what is the value of this product, having them try it, learning from their feedback, and making it better over time. But the goal is to, get as many of the people who love ChatGPT today to like feel the power of ChatGPT Work. But I think it'll be a journey.Swyx [00:43:36]: Yeah. And Codex will still be alive as a brand for the foreseeable future. And we'll just toggle between them as needed for UI stuff.Akshay Nathan [00:43:44]: Yeah, I think it's even stronger point than that. Like, I think we fully intend to like, treat developer. Like, developers have been, a core market for us for so long, and like there's, there's so much more that we can do to make Codex great specifically for, software development, and we'll continue to do that. This doesn't take away from that at all. If anything, it should increase the utility of something like Codex, because now you can move seamlessly between writing a diff to creating an artifact or, doing a search over your factor.Swyx [00:44:11]: I do wonder how much this terminology leaks to the non-technical user. Like, do they have to learn to say artifact if I want artifact? Or.Akshay Nathan [00:44:20]: It's funny, like we call it artifacts internally ‘cause that's what the teams call it.Swyx [00:44:23]: It's nice. Yeah.Akshay Nathan [00:44:23]: But like externally, like no one says that, no one calls it an artifact. But I think that people like often, like describe things, whatever they're used to, right? So if, ChatGPT Work is good at creating slides, they'll say ChatGPT Work is good at creating slides, and that's what we want.OpenClaw, Personal OS, and Persistent ComputersSwyx [00:44:38]: One big Another, it's July of twenty-six. One big thing that also happens in, for OpenAI was OpenClaw, and that's I think a lot of people's first time really maxing a agent for personal stuff, but also crossing over to work in essence same way. As far as I understand, OpenClaw is still independent, but did you go through your own OpenClaw moments? Were there any lessons you took from OpenClaw to Codex or back? Whatever.Akshay Nathan [00:45:06]: I think there's a lot of inspiration. I did go through my own OpenClaw moment. I,Swyx [00:45:10]: Yeah, tell the storyAkshay Nathan [00:45:10]: Me and my wife like set up an OpenClaw to like try to manage everything in our house. Not that there's like a ton, but it was like quite useful. We gave it a calendar. It started, creating events for us and stuff. At some point, the laptop that we were running on, it died and never got a chance to pick it back up. But there was a lot of inspiration there, like, in ChatGPT Work, in web and mobile, like you get access to this like persistent computer environment where, you can store files, and those files stay around between sessions. And the idea is to be able to enable use cases like this. one of the members of our team uses ChatGPT Work for what they used OpenClaw from before, and then feel like it has like completely transitioned, which is like, workout planning and like meal tracking. which again, it's like a work-related thing, right? It's like not work necessarily, but it's like in personal productivity space. But it has all the same primitives. So it has scheduled tasks. It has the ability to store files on a file system. It has the ability to like reference those things over time. And so you start to see the same types of use cases emerge, which has been really cool.Swyx [00:46:14]: Is there a point that ChatGPT Work completely replaces OpenClaw? they're independent, so.Akshay Nathan [00:46:20]: Yeah, I'm, I'm not close to it, so I can't speak to the OpenClaw roadmap, but I don't think so. I think that there's gonna be, there's always a need for like this like incredible, like open source technology that team has built. And I think that we can draw inspiration, in the product and, ChatGPT, I think many more people have like heard about and used ChatGPT than have used OpenClaw. And if we can take the magic from OpenClaw and bring it to them, I think that'll be a success. I think that like one thing on the ChatGPT Work side that we feel strongly about is that like the core experience is that you come to this product and you have a conversation, start a session, whatever you wanna call it, with this agent. And the magic of the product is that you can do anything in that moment. And we would like to create a product where you don't have to click a button or to go to a different place, whatever, and you can get whatever functionality exists in, your finances app or where or any other product like in this one place. And so that's the goal. It's like it we want an extensible system with plugins where you can connect to the tools that you need in order to be able to accomplish like a financial task, where you can, if you're doing like science work, like we have an ability to like extend the system in such that you can like write the tech and it performs well. There'll always be like products that we support that are best in class at those things, but we want as much of the magic as possible in that core experience.Swyx [00:47:45]: Yeah. Do you think that you can do everything you used to do with Wealthfront in ChatGPT Finance?Finance, Data Access, and Centralized ContextAkshay Nathan [00:47:50]: I tried it. like ChatGPT doesn't yet custody, cash and assets for me. So that part, no, not yet. But I, there was like a whole component of like retirement planning and, like financial planning and budgeting and stuff that, we were looking into when I was there. And like with the finances plugin, like that's all possible with ChatGPT today. So, I feel

Cadent President Doug Rozen unpacks the hidden organizational silos and ad frequency nightmares plaguing modern video advertising at Cannes. Discover why shifting from audience persistence to contextual TV and total video planning is the ultimate fix for bruised brand performance. Key Highlights

In the week where Josh Kerr smashed the 27 year old mile record, we welcome into the studio the man who broke it 3 times, won multiple Olympic Gold Medals, brought the Olympics to London in 2012, and for the last decade has been President of World Athletics.Seb Coe is one of the most influential and respected executives in sport. He has certainly had one of the most diverse careers, and that gives him the opportunity to talk through both the biggest challenges that athletics and the Olympics more broadly faces, but also highlight what makes them storied, successful, and desirable for both fans and brands. In Seb's eyes, there are only two truly global sports. Harry and I have had the privilege of knowing him our whole lives. It was therefore great to finally be able to do this. Let's hear what it really takes to balance politics, performance, identity, finance, all under that banner of sport.A huge thank you to our amazing partners on the show: AirwallexThe intelligent financial platform for global businesses⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.airwallex.com/uk/⁠⁠⁠⁠⁠⁠⁠⁠⁠GeminiWe empower the most confident sports organisations on Earth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://geminisports.ai/⁠⁠⁠⁠⁠⁠⁠⁠⁠If you're interested in partnering with the show, please reach out to us at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠bos@20vc.com

Send us Fan MailWelcome all to another episode of The Cricket Slouch.With the tragic demise of Sir Garfield Sobers, Sandeep and Shounak pay tribute to a true legend of the sport, may he rest in peace.They then discuss the new ICC World Cup format changes, that were unceremoniously dumped upon the cricketing world and examine closely what these changes mean for the less fortunate teams.They touch up briefly on India's test win at Lords vs England, the gargantuan run chase by Washington Freedom in the MLC tournament, and McCullum's departure from the coach's role among other things. Enjoy !

Welcome to Lords of Limited, the podcast dedicated to getting you better at drafting in Magic: the Gathering. This week, we've got part three of the Wedding Paternity Chronicles. Today is another episode from the Archetype Architecture series featuring Golgari. We look at what the archetype does historically, and why it's been more or less successful in certain sets in the play booster era. Then we explore what these trends can teach us about predicting this archetype's strength in future sets.

Slaughter, McMahon, Single Elim, Double Elim, Swiss, Fold… what does it all mean?? Let's review tournament formats so you can be a tournament-savvy Go player!Join the Discord⁠Support Star Point⁠The Star Point Store

https://www.gethookd.ai/learn/8-effective-ugc-facebook-ad-examples-to-try-in-2026/Discover why user-generated content Facebook ads are crushing studio-produced creatives in 2026. We reveal eight high-converting UGC formats—from raw unboxings to partnership ads—and the psychological triggers that make them stop the scroll and drive conversions. GetHookd LLC City: Miami Address: 40 SW 13th street Website: https://www.gethookd.ai/

Season 3 of UNFRAME THE BRAIN consists of 14 formats. To keep them from landing on you all at once, Janet Braun introduces them across four FOCUS episodes.FOCUS means: each episode takes one main area and shows which formats belong to it, which perspective they bring, and where you can later enter more directly.FOCUS 1 is about the first four formats: NEURO LEAD, CULTURE SCAN, NEURO ATHLETE and GLOBAL MATCH.Four formats for leadership, company culture, professional and high-performance sport, and international orientation.

This is about groundwork. Knowledge, health, childhood. The areas people should understand before they judge, classify or place neurodiversity into any ready-made category.Janet Braun introduces three formats that look at neurodiversity more precisely: through knowledge, health and biography.NEURO REALITY, NEURO HEALTH and BORN OFF SCRIPT.

This is about impact before it becomes conscious. About signals, stimuli, atmospheres and structures that people take in before they can explain why they trust, switch off, book, stay or leave.Janet Braun introduces three formats that look at neurodiversity more precisely from a strategic angle: through brand building, regulation and travel planning.NEURO CREATION, NEURO NATURE and NEURO TRAVEL.

This is about expression that is no longer smoothed out. Young neurodivergent perspectives, guest voices and sharp language. Contributions, conversations and texts that do not make themselves smaller just to sound more comfortable for others.Janet Braun introduces three formats that make neurodiversity visible, many-voiced and unmasked:IN YOUR NEURO FACE, VOICES OFF SCRIPT and SENSITIVE AF.

Legacy isn't going anywhere—but that doesn't mean it's the only place to enjoy Eternal Magic.In this solo update, Zac shares where Eternal Durdles is headed next, why we're exploring community-created Magic formats, and what that means for the future of the channel. While Legacy will remain a core part of what we do, we're also taking a serious look at formats that capture the gameplay many of us fell in love with years ago. In this episode we discuss:Why we're looking beyond LegacyPeak LegacyHeritage LegacyClassic LegacyPre-Fire ModernWhy community-driven formats are becoming more appealingLessons learned from trying to build PremiereThe future of Eternal DurdlesWhy we're excited about exploring new communitiesHow Sorcery and Common Sense fit into our long-term plans This isn't about leaving Legacy behind—it's about finding more ways to enjoy Magic with the community.Which format should we explore first?00:00 Channel Update00:48 Why We're Looking Beyond Legacy02:20 Exploring Community Formats03:07 Peak Legacy Explained04:42 Heritage Legacy Explained06:14 Classic Legacy Explained06:46 Pre-Fire Modern Explained08:09 Why We're Covering These Formats09:08 Could We Start a New Channel?10:05 Common Sense & Sorcery Update11:29 The YouTube Algorithm Problem12:10 Looking for Community Feedback13:44 Patreon & MasterClass Updates15:10 Closing Thoughts Timestamps

Legacy isn't going anywhere—but that doesn't mean it's the only place to enjoy Eternal Magic.In this solo update, Zac shares where Eternal Durdles is headed next, why we're exploring community-created Magic formats, and what that means for the future of the channel. While Legacy will remain a core part of what we do, we're also taking a serious look at formats that capture the gameplay many of us fell in love with years ago. In this episode we discuss:Why we're looking beyond LegacyPeak LegacyHeritage LegacyClassic LegacyPre-Fire ModernWhy community-driven formats are becoming more appealingLessons learned from trying to build PremiereThe future of Eternal DurdlesWhy we're excited about exploring new communitiesHow Sorcery and Common Sense fit into our long-term plans This isn't about leaving Legacy behind—it's about finding more ways to enjoy Magic with the community.Which format should we explore first?00:00 Channel Update00:48 Why We're Looking Beyond Legacy02:20 Exploring Community Formats03:07 Peak Legacy Explained04:42 Heritage Legacy Explained06:14 Classic Legacy Explained06:46 Pre-Fire Modern Explained08:09 Why We're Covering These Formats09:08 Could We Start a New Channel?10:05 Common Sense & Sorcery Update11:29 The YouTube Algorithm Problem12:10 Looking for Community Feedback13:44 Patreon & MasterClass Updates15:10 Closing Thoughts Timestamps

What counts as a podcast episode is a more open question than most people realise. The medium has evolved — from RSS-only audio on Apple devices (iTunes) to video-first vertical content filmed in a bedroom — and with that evolution, so has the range of what a podcast episode can actually look like. A three-minute focused answer, a segment clipped from a longer interview, a repurposed coaching hot seat: all of these qualify. Most podcasters just haven't given themselves permission to try them.In this episode, I'm walking through 10 formats that are consistently underused by podcasters I work with — and it's not because they're complicated, but because they challenge the default assumption that a podcast has to be long, polished, and produced from scratch every single time.Plus, the episodes that tend to stick with listeners — the ones they remember, the ones they go back to — are rarely the ones that covered everything. They're the ones that nailed one thing, clearly, in exactly the time it took to say it.Resources mentioned in this episode:For the full list of links, resources and show notes, please visit:https://www.thepodcastspace.com/podcast/s5-117-to-be-or-not-to-be-a-podcast-episode-10-formats-that-will-expand-what-you-think-is-possible-contentcontent-strategycontent-repurposing

"On va essayer d'être présent un peu partout, tu vois, comme on est universel." Le D.E.V. de la semaine est Loïc Mathieu, Lead Software Engineer chez Kestra Technologies qui vient de lever $25M dans une série A menée par RTP Global. Avec plus de vingt ans de dev derrière lui, Loïc raconte comment Kestra vise à devenir l'orchestrateur universel, capable de piloter aussi bien de la donnée en giga qu'en tera, de l'infra ou du business. On parle migration de workflows sans big bang, adaptation aux nouvelles technos, et compromis permanents entre performance et polyvalence. Loïc partage des retours très concrets sur les usages inattendus de Kestra et la vision produit derrière chaque plugin. Un épisode dense, sincère et technique, pour tout dev qui rêverait d'un chef d'orchestre central mais pas monolithique. Vous pouvez suivre Loïc sur Bluesky ou sur son blog.Chapitrages00:00:54 : Orchestration de la donnée00:04:06 : Pourquoi Kestra est né00:06:11 : Une plateforme unifiée00:08:35 : Triggers et workflows00:11:01 : Modèle d'exécution00:15:36 : Du data à l'infrastructure00:18:04 : Migrer sans tout casser00:20:15 : Formats de données00:22:45 : Volume et performance00:26:10 : Sécurité des workflows00:34:24 : Orchestration des agents IA00:40:58 : Capacity planning00:46:07 : Les prochains défis Liens évoqués pendant l'émission Viza "Made in Tchernobyl" : Spotify Deezer Apple Music

Is This the End of Vitamin Pills? Are you tired of swallowing giant supplement capsules every single day? You're not alone. Nearly 40% of adults suffer from "pill fatigue," defined as the physical and psychological burnout of maintaining a complex, multi-bottle daily routine. In this video, I'll dive into the radical shift toward what I dubbed "Frictionless Wellness." Next-generation wellness CPG brands are abandoning traditional pills entirely to treat the mouth as the ultimate biological highway. By bypassing the gut and liver, these innovative direct-to-mouth formats deliver rapid oral absorption without the need for water. But can these "bleeding-edge" innovations cross the strategic chasm into permanent consumer habits, or will they get crushed by heavyweights like Celsius energy drinks?Key TakeawaysOral Absorption: Direct-to-mouth delivery skips the harsh stomach acid and liver first-pass effect, potentially shaving 30–60 minutes off nutrient onset timesCandy-fication vs. Efficacy: Brands face a brutal balancing act between packing a clinical dose of an ingredient and making a functional candy taste tolerableMilligram Ceiling: Form factors like pouches and strips physically cannot hold heavy macronutrients, limiting their ability to replace full nutritionNiche Utility Wins: The future belongs to hyper-specific use cases—like fast-acting sleep strips or focus-driven modern oral pouches for long road trips

The crew discuss today's ban list update and the impact of Marvel Super Heroes on both constructed and draft!

Today in the business of podcasting:Registration for The Podcast Atlas debut webinar on July 1 at 2pm Eastern is available here.New Sounds Profitable research from The Podcast Atlas finds 73% of podcast listeners would follow a creator from audio to video and 71% from long-form episodes to short-form clips, showing audience loyalty is tied to creators rather than formats.iHeartMedia expands its advertising partnership with Amazon Ads, becoming a reseller across Amazon Music, Prime Video, Twitch, Fire TV, and Alexa, giving its sellers access to Amazon's first-party shopping and streaming data.Owl & Co. founder Hernan Lopez shares findings from the second annual Global Podcast Economy Report, revealing that ten companies capture roughly 60% of U.S. podcast advertising revenue alongside a vibrant long tail of smaller players.DoubleVerify launches DV Neura, an AI engine that unifies media verification, content classification, and campaign optimization, and can recommend campaign changes across its DV Media AdVantage Platform.Oxford Road's ORBIT tool releases its June 2026 ranking of the top 15 Entertainment and Media podcasts, with The Popcast with Knox and Jamie taking the top spot and the data favoring show-level buying over genre-level approaches.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.

Today in the business of podcasting:Registration for The Podcast Atlas debut webinar on July 1 at 2pm Eastern is available here.New Sounds Profitable research from The Podcast Atlas finds 73% of podcast listeners would follow a creator from audio to video and 71% from long-form episodes to short-form clips, showing audience loyalty is tied to creators rather than formats.iHeartMedia expands its advertising partnership with Amazon Ads, becoming a reseller across Amazon Music, Prime Video, Twitch, Fire TV, and Alexa, giving its sellers access to Amazon's first-party shopping and streaming data.Owl & Co. founder Hernan Lopez shares findings from the second annual Global Podcast Economy Report, revealing that ten companies capture roughly 60% of U.S. podcast advertising revenue alongside a vibrant long tail of smaller players.DoubleVerify launches DV Neura, an AI engine that unifies media verification, content classification, and campaign optimization, and can recommend campaign changes across its DV Media AdVantage Platform.Oxford Road's ORBIT tool releases its June 2026 ranking of the top 15 Entertainment and Media podcasts, with The Popcast with Knox and Jamie taking the top spot and the data favoring show-level buying over genre-level approaches.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.

This is about expression that is no longer smoothed out. Young neurodivergent perspectives, guest voices and sharp language. Contributions, conversations and texts that do not make themselves smaller just to sound more comfortable for others.Janet Braun introduces three formats that make neurodiversity visible, many-voiced and unmasked:IN YOUR NEURO FACE, VOICES OFF SCRIPT and SENSITIVE AF.

In der ersten Folge des neuen Formats liegt der Schwerpunkt auf den strategischen Entscheidungen im sportlichen Bereich und bei der Kaderplanung. Darüber hinaus werden Borussias wirtschaftliche Situation, die Vermarktung des Stadionnamens sowie die Weltmeisterschaft und Aussagen rund um die „50+1-Regel“ diskutiert. Neben Markus Aretz und Markus Feldenkirchen sind Geschäftsführer (CEO) Dr. Stefan Stegemann und Sportchef Rouven Schröder zu Gast.

Tell me your favorite episode for the 6th anniversary show! You might have noticed that your television screen today is rectangular, but in the past, TV screens were more square. Yet, sometimes you might have seen black bars on either the top or the side of what you are watching.  The width, or lack thereof, of a film or TV show is known as its aspect ratio. Throughout the history of cinema, aspect ratios have changed drastically, as have the ways images were captured. Learn more about wide film formats, how they work, and why they were developed on this episode of Everything Everywhere Daily. Sponsors Saily Get an exclusive 15% discount on Saily data plans! Use code everythingeverywhere at checkout. Download Saily app or go to https://saily.com/everythingeverywhere ButcherBox Get your choice between chicken breast or top sirloin for a year OR ground beef for life, PLUS $20 off when you go to ButcherBox.com/everything Quince Go to quince.com/daily for 365-day returns, plus free shipping on your order! Mint Mobile Save 50% on Unlimited premium wireless plans starting at $15/month at MintMobile.com/EED TrueWerk Get 15% off your first order at truewerk.com with code everything DripDrop Go to dripdrop.com and use promo code everything for 20% off your first order! Subscribe to the podcast!  https://everything-everywhere.com/everything-everywhere-daily-podcast/ -------------------------------- Executive Producer: Charles Daniel Associate Producers: Austin Oetken & Cameron Kieffer   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Discord Server: https://discord.gg/Ds7Rx7jvPJ Instagram: https://www.instagram.com/everythingeverywhere/ Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/  Disce aliquid novi cotidie Learn more about your ad choices. Visit megaphone.fm/adchoices

This is about impact before it becomes conscious. About signals, stimuli, atmospheres and structures that people take in before they can explain why they trust, switch off, book, stay or leave.Janet Braun introduces three formats that look at neurodiversity more precisely from a strategic angle: through brand building, regulation and travel planning.NEURO CREATION, NEURO NATURE and NEURO TRAVEL.

How do you invest in what's cool before the rest of the world catches on? This week on The Data Minute, Peter sits down with Amber Atherton, Partner at Patron, to explore the rapidly shifting landscape of consumer venture capital.Amber reveals the tactical strategies she uses to keep her pulse on the cultural vanguard, including running multiple TikTok burner accounts and hunting for early micro-trends inside gamer communities and niche digital spaces. They dive deep into her recent thesis on "computational taste," analyzing whether AI models can possess or dictate authentic taste, and why design-native founders are uniquely positioned to win the next wave of tech adoption.The conversation also covers the massive grey-market-to-mainstream pipeline powering the "American Peptide Boom," the business model shift behind ChatGPT's inevitable advertising play, and a transparent breakdown of the psychology of liquidity, including exactly when a founder should (and shouldn't) leverage secondary markets.Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/Chapters:00:18 – Intro: Consumer VC and Amber Atherton01:09 – The Truth About Demo Day and Fundraising Reality03:22 – Defining Consumer Investing: Trend Hunting vs. Fundamentals05:09 – TikTok Burner Accounts and Tracking Gen Z Culture09:02 – Computational Taste: Building the Taste Layer of AI09:52 – Can an AI Model Have Genuine, Ephemeral Taste?17:31 – The Squeeze: Where Consumer VC Stands Today19:20 – Gray Market to Mainstream: The American Peptide Boom22:51 – Formats and Vibe Coding: Amber's Writing Process26:51 – "In My Bones": Why Amber Chose Venture Capital Over Being a Founder30:10 – The Repeat Founder Conundrum: Motivation vs. Experience31:09 – The Psychology of Liquidity: When to Take Secondary33:36 – Honesty in the Idea Maze: Knowing When to Pivot or Return Capital34:53 – ChatGPT Launching Ads: The Economics of Attention36:04 – Spicy Question: Do Accelerators Work for Consumer Founders?37:51 – "Peptide Summer": Net-New Brands vs. Incumbents in Wellness39:58 – Outro: Headed to the Skate ParkThis presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2026 eShares, Inc., dba Carta, Inc. All rights reserved.

Today we jump back five years to the June 11, 2021 episode of The Deep Dive with Rich Fann. John Keating joined Rich to talk about his movie “The Concessionaires Must Die,” coaching actors, doing standup and writing, historic LA and eventually we get to great wrestling via the Scenic City Invitational, Apter Mags and their pull on him as a kid, lessons wrestlers can learn from the acting process, and the film “Faccia a Faccia” and how it can illustrate great complexities within wrestling when given the chance. Rich and John also talk about great shows like “The Outsider,” “Breaking Bad,” and “Curb Your Enthusiasm” as guideposts to great storytelling.Become a supporter of this podcast: https://www.spreaker.com/podcast/pwtorch-dailycast--3276210/support.

This is about groundwork. Knowledge, health, childhood. The areas people should understand before they judge, classify or place neurodiversity into any ready-made category.Janet Braun introduces three formats that look at neurodiversity more precisely: through knowledge, health and biography.NEURO REALITY, NEURO HEALTH and BORN OFF SCRIPT.

Connor and Mike agree that the format is perfect and doesn't need any adjustments.

Kalani Sitake is entering his 11th season as the head coach of the BYU football program. There might not be a season with higher expectations than the upcoming year. KSL Sports BYU Insider Mitch Harper caught up with Sitake at the Big 12 Spring Meetings to discuss the upcoming season for his team, along with his thoughts on playoff formats, and the buzzing topics among coaches in the league. Subscribe to the Cougar Tracks Podcast to stay up-to-date with all the daily episodes. Cougar Tracks is on YouTube and X every weekday at Noon (MT), and KSL NewsRadio at 6:30 p.m. (MT). Apple: https://podcasts.apple.com/us/podcast/cougar-tracks/id1146971609 YouTube Podcast: https://kslsports.com/category/podcast_results/?sid=2035&n=Cougar%20Tracks Spotify: https://open.spotify.com/show/2NCF1KecDsE2rB1zMuHhUh Download the KSL Sports app Google: https://play.google.com/store/apps/details?id=com.bonneville.kslsports&hl=en_US  iOS: https://apps.apple.com/us/app/ksl-sports/id143593 Mitch Harper is a BYU Insider for KSLsports.com and hosts the Cougar Tracks Podcast daily on KSL Sports YouTube and KSL NewsRadio (SUBSCRIBE). Harper also co-hosts Cougar Sports Saturday (12–3 p.m.) on KSL NewsRadio. Follow Mitch’s coverage of BYU athletics in the Big 12 Conference on X (formerly Twitter) and Instagram: @Mitch_Harper. Want more coverage of BYU sports? Take us with you wherever you go. Download the new and improved KSL Sports app from Utah’s sports leader. Allows you to stream live radio and video, keeping you up-to-date on all your favorite teams.

Watch on Youtube Stuck on what to post next? In this episode I walk you through eight content formats that build trust, get more reach, and actually convert. From carousels to commentary to the honest take, you'll know exactly what each one does and how to use it. In this episode: Why carousels build trust and how to make them faster How personality posts pull in new eyeballs (and why that 45k-view post worked) Using commentary and credibility posts to show proof and perspective The quieter formats that still convert: weekly drops, honest takes, talking heads, and series How to test formats, measure results, and keep what works Work with Suz: Ready to build a personal brand that actually converts? Amplify is my high-touch group coaching program for experienced business owners ready to scale. Find out more about the AMPLIFY ACCELERATOR now

Jubilee Media founder and CEO Jason Y Lee joins Next in Media to break down how the digital-first studio builds scalable, format-driven IP that captures Gen Z's massive attention span without relying on a single face. Discover the monetization strategies behind their unscripted content, why creators are turning down Hollywood, and how authentic human conversation is outperforming AI in the modern creator economy. Key Takeaways: The Creator Economy Flip: Top digital creators no longer view Hollywood as the ultimate graduation point, reversing the media power dynamic as traditional studios now seek out digital-first strategies to survive. The Attention Span Myth: Massive engagement metrics on 90-minute videos prove that younger audiences aren't suffering from short attention spans; they are simply starving for unscripted, long-form authenticity. Format Over Face: Designing repeatable, host-agnostic IP rather than relying on a single charismatic personality eliminates key-person risk and unlocks true operational scalability for digital studios. Contextual Brand Storytelling: The next frontier of monetization rejects one-off, disruptive advertisements in favor of naturally embedding brands into existing, high-performing video franchises. The Anti-Echo Chamber Demand: Algorithms have hyper-fragmented public discourse, creating a massive, untapped market of viewers who actively seek out raw, multi-perspective content to escape their own echo chambers. The TV Screen Takeover: Digital-first production must now default to cinema-grade standards like 4K, as YouTube's massive growth on connected televisions blends the boundary between streaming networks and independent creators. The Human Premium in an AI Era: As artificial intelligence commoditizes automated content creation, media companies that double down on raw, real-life human connection will hold the ultimate competitive advantage. IP Upcycling and Windowing: Legacy distribution strategies like FAST channels and AVOD licensing represent the most lucrative secondary revenue streams for creators sitting on deep libraries of episodic content. Resources & Next Steps: Subscribe to Next in Media on Apple Podcasts and Spotify Key Episode Timestamps: 00:00 Jubilee's Mission and Content Philosophy 1:09 Introduction and Background 2:07 Jubilee's Format Strategy and Studio Approach 3:44 Building a Scalable Business Model 4:57 Format Development and Longevity 6:16 YouTube's Evolution and Connected TV 7:54 Multi-Platform Strategy 8:54 Brand Partnerships and Controversial Content 10:01 Successful Brand Integration Examples 11:23 Brand Partnership Philosophy 12:19 YouTube's Creator Economy Evolution 13:44 Creator Content Boosting vs Investment 15:19 Hollywood and Streaming Industry Relations 16:32 Content Licensing and Distribution 17:41 Short-Form Fiction and Experimentation 18:25 Microdrama and Asian Market Trends 19:05 AI Integration and Human-Centered Content 20:09 Generational Media Habits and Public Discourse 21:34 Gen Z's Media Consciousness 22:21 Future Political Engagement and Partnerships

For over a century, companies have tried to invent the next great way to listen to music or watch movies.  Some became household standards that were the foundation of multi-billion-dollar industries. Others became expensive mistakes, technological dead ends, or punchlines in the history of consumer electronics.  Some were so inconsequential that most people never even realized that they existed. Learn more about failed media formats and the battles behind them on this episode of Everything Everywhere Daily. Sponsors Newspapers.com Honor the past by uncovering its stories at Newspapers.com  Promo Code EVERYTHINGEVERWHERE Samsara Don't wait for the next accident to take action. Head to Samsara.com/EVERYTHING ButcherBox Get your choice between chicken breast or top sirloin for a year OR ground beef for life, PLUS $20 off when you go to ButcherBox.com/everything Quince Go to quince.com/daily for 365-day returns, plus free shipping on your order! Mint Mobile Save 50% on Unlimited premium wireless plans starting at $15/month at MintMobile.com/EED Audible Listen to Project Hail Mary Audible.com/hailmary Fast Growing Trees Get 20% off your first purchase when using the code DAILY at checkout at fastgrowingtrees.com/daily Subscribe to the podcast!  https://everything-everywhere.com/everything-everywhere-daily-podcast/ -------------------------------- Executive Producer: Charles Daniel Associate Producers: Austin Oetken & Cameron Kieffer   Become a supporter on Patreon: https://www.patreon.com/everythingeverywhere Discord Server: https://discord.gg/Ds7Rx7jvPJ Instagram: https://www.instagram.com/everythingeverywhere/ Facebook Group: https://www.facebook.com/groups/everythingeverywheredaily Twitter: https://twitter.com/everywheretrip Website: https://everything-everywhere.com/  Disce aliquid novi cotidie Learn more about your ad choices. Visit megaphone.fm/adchoices