Podcasts about Demos

What happens when God doesn't give you what you expected? Discover how God's greatest purposes are often hidden in the plans we never would have chosen. Join us this Sunday at our 8AM, 10AM, or 12PM services and experience a life-changing word that will challenge your perspective and strengthen your faith. Next week, celebrate Father's Day with us—invite your dad and the special men in your life for a powerful service you won't want to miss!

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

Wir sind zurück aus der Winterpause und starten die neue Staffel mit bekannten Stimmen und frischen Themen: Gemeinsam mit Sonja Meyer und Martin Bach von Oracle tauchen wir tief in die Welt von APEX, JavaScript-Magie und der neuen MLE-Engine ein. Zwischen ehrlichen Anekdoten aus dem Entwickleralltag, technischen Herausforderungen und dem Spaß an Konferenzen diskutieren wir, wie KI, Skills und WebAssembly die Datenbankentwicklung verändern. Von praxisnahen Demos rund um Bildanalyse und Fake-Detection bis zu kritischen Gedanken über Sicherheit, Supply-Chain-Risiken und die Zukunft von Dev-Tools – wir nehmen euch mit auf eine authentische Achterbahnfahrt durch Innovation und Realität. Hört rein, wenn ihr erfahren wollt, was Oracle-Entwicklung heute wirklich bewegt – und wie viel Humor man dabei braucht!

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

The AI Reality Gap is becoming one of the most important concepts for developers, founders, and business leaders to understand. Every day, social media is filled with examples of applications being built in minutes, products launched overnight, and entire workflows automated through AI tools. What rarely gets discussed is what happens after the demo. A working prototype is not the same thing as a production-ready system. The moment an application encounters real users, security requirements, scaling concerns, integrations, and operational demands, the true complexity begins to emerge. Building something is easier than operating it reliably. About Jason Sherman Jason Sherman is a serial entrepreneur, filmmaker, author, and technology founder best known for building practical solutions that bridge the gap between emerging technology and real-world business problems. He is the founder and CEO of Vengo AI and has launched multiple technology platforms throughout his entrepreneurial career. Jason is known for his direct, hands-on approach to innovation, focusing on execution, product development, AI implementation, and helping businesses leverage technology without losing sight of operational realities. His perspective combines startup experience, software development expertise, product strategy, and a strong belief that technology should solve actual business problems rather than chase trends. Links: Facebook, Twitter / X, YouTube, LinkedIn, Website Understanding the AI Reality Gap The AI Reality Gap exists between what AI can generate and what organizations actually need. A generated application may look complete on the surface. It can create forms, databases, dashboards, and workflows. Yet underneath that polished interface are questions that AI alone cannot currently solve consistently: Is the infrastructure secure? Are APIs protected? Is data handled correctly? Can the system scale under load? Is deployment repeatable and reliable? These questions have always existed in software development. AI simply exposes them faster. Why AI Is Revealing Existing Problems Many organizations assume AI is creating new challenges. In reality, AI is exposing old ones. Businesses have always struggled with: Poor documentation Weak processes Inconsistent requirements Fragile infrastructure Knowledge silos AI accelerates development so rapidly that these weaknesses appear sooner than before. Faster development magnifies existing organizational problems. AI Is a Tool, Not Magic One of the strongest themes from the discussion was viewing AI as a tool rather than a replacement for expertise. Electricity transformed industries. Automobiles transformed transportation. The internet transformed communication. AI belongs in the same category. The value comes from how people use the technology, not from the technology itself. Organizations that treat AI as a productivity tool tend to achieve better results than organizations expecting autonomous solutions. The Human Responsibility Layer The excitement around AI often creates the impression that human oversight is becoming less important. The opposite may be true. As AI handles more implementation work, humans become increasingly responsible for: Architecture Governance Validation Security Business alignment The challenge is shifting from creating code to directing systems. The future developer may spend less time writing code and more time validating outcomes. Building Beyond the Demo Successful AI adoption requires organizations to think beyond proof-of-concept projects. Questions leaders should ask include: How will this be maintained? Who owns the deployment process? How will security be managed? What happens when requirements change? These concerns may seem less exciting than AI-generated applications, but they determine whether a solution survives in production. Conclusion The AI Reality Gap isn't a flaw in AI. It's a reminder that software success has always depended on more than code generation. Organizations that understand infrastructure, security, deployment, and human oversight will benefit most from AI's acceleration. Stay Connected: Join the Developreneur Community

Nachdem eine Pro-Palästina-Demonstration letzten Herbst aus dem Ruder gelaufen ist, fordert ein Vorstoss aus den Reihen der Bürgerlichen im Kantonsparlament strengere Regeln bei nicht bewilligten Demos. Die Regierung hält diese jedoch nicht für umsetzbar. Weiter in der Sendung: · Der neue Veloweg zwischen Oberburg und Hasle im Emmental kann gebaut werden. Das Berner Kantonsparlament hat einem Kredit von 10.5 Millionen Franken zugestimmt. · Die Natur zwischen Bieler-, Neuenburger- und Murtensee sei durch die Landwirtschaft stark belastet, betonen Umweltverbänden. Mit der Organisation «Vision 3-Seen-Land 2050» wollen sie Lösungen finden, damit Natur und Landwirtschaft gemeinsam existieren.

.Heinlein, Stefan www.deutschlandfunk.de, Informationen am Mittag

"LinkedIn Thought Leader Guide" hier gratis ➔ https://xhauer.com/linkedinLinkedIn-Posts per WhatsApp-Voice: XHANA hier gratis ➔ https://xhauer.com/xhanaIn dieser Folge baue ich live im Coaching mit einem KI-Tech-Gründer einen schlanken LinkedIn-Funnel auf, der planbar Demos mit Foundern und CEOs bringt. Ihr seht die 4 Schritte, auf die es ankommt: Content im Wording der Zielgruppe, Thought Leader Ads, Retargeting und Message Ads. Dazu die zwei Voraussetzungen, ohne die das Ganze nicht funktioniert.Wenn du neu auf meinem Kanal bist:Mein Name ist Michael Asshauer. Ich bin Gründer und Geschäftsführer von XHAUER. Mein Team und ich helfen jeden Tag Anbietern im komplexen und technischen B2B, ihre Pipeline mit guten Verkaufsgelegenheiten zu füllen. Durch eine systematische Kombination aus Performance- und Content-Marketing. Ganz ohne Bunte-Bildchen-Marketing, sondern datengetrieben nach dem Grundsatz “Do more of what works”.Ein paar Fakten für dich, wie ich hierher gekommen bin und welche Reise ich auf diesem Kanal dokumentiere:25 Jahre: Gründung meines ersten Technologie-Unternehmens Familonet25 Jahre: Abschluss meiner Studiengänge Volkswirtschaftslehre, Betriebswirtschaftslehre und International Business (Hamburg & Melbourne)28 Jahre: Ausgründung unserer B2B-Software-Entwicklungsagentur onbyrd 30 Jahre: Übernahme unserer Unternehmen durch den Daimler-Konzern (heute Mercedes-Benz Group AG)31 Jahre: Gründung meiner Business-Content-Plattform “Machen!”32 Jahre: Gründung meines Performance-Recruiting-Unternehmens Talentmagnet (und anschließender Verkauf)34 Jahre: Gründung unserer B2B-Marketing-Agentur & Beratung XHAUER, gemeinsam mit Paula.Heute: Paula, unser Team und ich sind auf dem Weg, eine der besten B2B-Agenturen & Beratungen weltweit aufzubauen.Auf diesem Kanal teile ich alle Erkenntnisse, Learnings und Best Practices aus Tausenden Kampagnen offen mit dir, sodass du sie für euer Marketing anwenden kannst.Für B2B-Marketing, das die Pipeline füllt.Dein Michael Hosted on Acast. See acast.com/privacy for more information.

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

LAUDES LUNES DE LA X SEMANA DE ORDINARIO(Oración de la mañana) - II semana del Salterio*Link de apoyo al canal al final del escrito*INVOCACIÓN INICIALV. Señor abre mis labiosR. Y mi boca proclamará tu alabanzaINVITATORIOAnt. Demos vitores al Señor, aclamándolo con cantos.SALMODIASalmo 41 - Ant. ¿Cuándo entrare a ver el rostro de Dios?.Cántico - Ant. Muéstranos, Señor, tu gloria y tu compasión.Salmo 18 A - Ant. Bendito eres, Señor, en la bóveda del cielo.CÁNTICO EVANGÉLICOAnt. Bendito sea el Señor, Dios de Israel, porque ha visitado y redimido a su pueblo.Cántico de Zacarías. EL MESÍAS Y SU PRECURSOR      Lc 1, 68-79Bendito sea el Señor, Dios de Israel,porque ha visitado y redimido a su pueblo.suscitándonos una fuerza de salvaciónen la casa de David, su siervo,según lo había predicho desde antiguopor boca de sus santos profetas:Es la salvación que nos libra de nuestros enemigosy de la mano de todos los que nos odian;ha realizado así la misericordia que tuvo con nuestros padres,recordando su santa alianzay el juramento que juró a nuestro padre Abraham.Para concedernos que, libres de temor,arrancados de la mano de los enemigos,le sirvamos con santidad y justicia,en su presencia, todos nuestros días.Y a ti, niño, te llamarán Profeta del Altísimo,porque irás delante del Señora preparar sus caminos,anunciando a su pueblo la salvación,el perdón de sus pecados.Por la entrañable misericordia de nuestro Dios,nos visitará el sol que nace de lo alto,para iluminar a los que viven en tinieblay en sombra de muerte,para guiar nuestros pasospor el camino de la paz.Gloria al Padre, y al Hijo, y al Espíritu Santo.Como era en el principio, ahora y siempre, por los siglos de los siglos. Amén.PRECES“Consérvanos, Señor, en tu servicio.”ConclusionV. El Señor nos bendiga, nos guarde de todo mal y nos lleve a la vida eterna.R. Amén.(349)

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

An diesem Montag begrüßen euch Benjamin und Hagen im Podcast. Ein Thema der beiden: Wie es kommt, dass schon seit Wochen einige Previews und Angespielt-Berichte von Benny für euch in Vorbereitung sind. Außerdem hat sich Hagen am Wochenende in zwei Demos gestürzt, die zum Summer Game Fest veröffentlicht wurden und natürlich werden die Inhate der Woche verkündet.Weiterlesen

From Brexit negotiations and the Cuban Missile Crisis to elections, auctions and everyday decision-making, game theory can offer powerful insights into how we navigate a world shaped by competing interests, cooperation and strategic choices. In this episode, Professor Michael Wooldridge joins Carl Miller to explore the surprising life lessons hidden within one of mathematics' most influential fields. Drawing on ideas from his new book Life Lessons from Game Theory: The Art of Thinking Strategically in a Complex World, Wooldridge explains how game theory can help us better understand conflict, human behaviour and truth.  Professor Michael Wooldridge the Ashall Professor of the Foundations of Artificial Intelligence in the Department of Computer Science at the University of Oxford, and a Senior Research Fellow at Hertford College. Carl Miller is an author, speaker and researcher at Demos, a think tank based in London, where he co-founded the Centre for the Analysis of Social Media in 2012. --- If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices Learn more about your ad choices. Visit podcastchoices.com/adchoices

Field demonstrations are a core attraction at Wisconsin Farm Technology Days. Ron Zygarlicke, field demonstration chairman, tells Stephanie Hoff about the firsthand look at machinery and techniques in action showgoers can expect.See omnystudio.com/listener for privacy information.

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Auch in diesem Sommer wird es auf Mallorca wohl große Demos und Kundgebungen gegen die Folgen des Massentourismus geben. Wir kennen erste Termine. Mallorcas große Hotelkonzerne schließen Hotels auf Cuba. Wir erklären die Situation. Weltmeisterinnen treffen auf Europameisterinnen. In Palma gibt es heute, im fast ausverkauften Stadion von RCD Mallorca, ein Länderspiel im Frauen-Fußball. www.5minutenmallorca.com

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

#931 Ready to discover how interactive product demos are transforming sales, onboarding, and training? In this episode, host Kirsten Tyrrel sits down with Joseph Lee, founder of Supademo, to explore how his platform helps companies replace clunky screen recordings and outdated videos with self-guided, clickable demos. Joseph shares the journey of scratching his own entrepreneurial itch, the gap he saw in the marketplace, and why showing — not telling — is the future of product communication. From SaaS to traditional businesses, learn how Super Demo is saving time, cutting costs, and helping over 100,000 companies create engaging customer experiences! (Original Air Date - 10/1/25) What we discuss with Joseph: + Origin of Supademo + Pain points of screen recordings + Benefits of interactive demos + Sales use cases + Onboarding and training impact + Cost and time savings + Personalizing product demos + Innovative demo features + Analytics and engagement tracking + Lessons from entrepreneurship journey Thank you, Joseph! Check out Supademo at ⁠Supademo.com⁠. Follow Joseph on ⁠LinkedIn⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode Chapter Summaries Chapter 1: The Rochester Connection & The Johnny Fever Dream (00:00 – 03:51) Anne introduces her longtime friend Tim Powers. They bond over their shared Rochester, NY, background, noting that growing up there fosters a natural sense of grit, humor, and raw honesty. Tim shares his origin story, starting as a kid with a voice that dropped way too early in 1978. Growing up in a massive, hilarious family where you had to be funny just to get noticed, Tim fell in love with radio icons and comedy legends, dreaming of becoming the next Johnny Fever. Chapter 2: The "Clark Kent" Years & Transition to the Improv Stage (03:52 – 08:34) Tim discusses his early years in radio, cueing up vinyl records, learning to think on his feet, and mastering spontaneous communication. However, minimum-wage radio couldn't pay the bills, leading to decades of "Clark Kent" day jobs. In his 30s, a friend dragged him to an improv theater tryout. Despite not being a traditional theater kid, Tim discovered that the improv stage was exactly where he learned structural acting, performance pacing, and the ultimate art of letting go. Chapter 3: The Philosophy of "Yes, And" in Voiceover (08:35 – 12:40) Tim shares his journey moving from his hometown to Los Angeles, training with iconic schools like The Groundlings and Upright Citizens Brigade, and eventually transitioning back behind the microphone under the mentorship of the late Lori Tritel and animation legend Michael Bell. Anne and Tim unpack the zen philosophy of "Yes, And." They discuss how voice actors spin too many mental plates trying to be perfect, when their only job is to accept the information given to them by the copy and boldly add their own life experiences to it. Chapter 4: Making Bold Choices vs. The Robotic Read (12:41 – 19:28) Anne and Tim challenge the idea of trying to read the casting director's mind. Tim points out that in an industry overflowing with talented talent, the only thing that separates you from a room full of people matching your exact technical specifications is your unique life experience. They look at how improv empowers talent to trust their gut and make fast, definitive character choices rather than hunting for a safe, sterile melody. Chapter 5: The "Dude" Knowledge & Grounding Corporate Narration (19:29 – 23:48) The conversation gets tactical as Anne and Tim explain the power of improvising your lead-ins. Tim demonstrates how a simple lead-in word like "dude" acts as the tip of a massive, subtextual iceberg. They argue that this work isn't just for wacky characters or high-energy commercials; it is also mandatory for all genres, including corporate narration and e-learning. To compete with cheap, perfect AI bots, human actors must bring a developed backstory, a natural breathing arc, and authentic physical transitions to the text. Chapter 6: The Truth About Demo Production & Acting Accountability (23:49 – 33:32) Anne and Tim have a candid, hard conversation about the current state of industry coaching. They address the hard truth that voiceover is a professional acting discipline that cannot be mastered in four to eight short weeks. They discuss their shared responsibility as demo producers, explaining why they refuse to cash a student's check for a demo if that student isn't consistently audition-ready. Tim shares a classic Hollywood story about the legendary "$500 demo trucks" parked outside major studios and warns why decision-makers spot those corner-cutting shortcuts instantly. Chapter 7: Garbage Plates, White Hots, and the Drop-In (33:33 – End) Tim details how talent can train with him via his zero-barrier-to-entry weekly drop-in Zoom workshop, Timprov, and his regular coaching site. The episode wraps up with a hilarious trip down memory lane as Anne and Tim talk classic Rochester culinary staples—including the legendary "garbage plate" hangover cure, Wegmans grocery stores, and Zweigel's white hots—before locking in plans for a future collaborative live-streaming workshop episode.   Top 10 Boss Takeaways Acting is reacting: Real conversations are never premeditated. Every single script you read requires you to look at the words as an immediate response to an event that just happened. Embrace the "Yes, And" mindset: Stop fighting the copy or over-analyzing the client's intent. Accept the scenario given to you by the writer, agree with it wholeheartedly, and add your specific central nervous system to it. Natural beats perfect: If voiceover were solely about flawless technical precision, one person would hold all the work. Auditions book because of raw human imperfection and compelling storytelling. Instinct over mechanics: If you are listening to the sound of your own voice or focusing on your vocal melody while recording, you are completely out of the scene. Ditch the "Voiceover Artist" label: Tim reminds us that artists make sandwiches at Subway. You are an actor who uses your voice. Own that title, and do the internal script analysis required of real actors. Master the customized lead-in: Never launch directly into the first line of text dry. Build a fully formed, improvised phrase right before the first word to establish a genuine emotional point of view. Develop the "Dude Knowledge": A single lead-in word can  serve as shorthand for a massive, unwritten backstory. Is your subtext "Dude, you're about to get fired" or "Dude, I've got the coolest secret to tell you"? Know the difference before you pull context into the microphone. AI can read—humans must connect: Perfect, pretty, and cheap reads can be generated by algorithms all day long. The only defense against automation is your messy, un-replicable life experience. Demos are a reflection of audition readiness: A professional demo is designed to show a casting director what you can deliver on the fly. If you aren't ready to book an elite audition on your own, you are not ready to cut a demo. Find coaches who hold you accountable: Avoid any production factories that promise stardom in record time. Work with industry thought leaders who aren't afraid to give you the hard, necessary truths about your current performance level.

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

This summary was brought to you by NVIDIA Nemotron 3 super. What's that, you ask? I don't really know. It sounds a lot like the other models. It's just another dumb clanker serving you the slop you crave. The timeline is bizarrely detailed. You could probably just read that and skip the show. This model is stupid as it does the thing dumb models do and assume that Jack is me because of the way the transcript goes DESPITE MY PROMPTING anyway I am leaving it in there to show clankers are not going to replace us yet. SORRY I FORGOT TO UPLOAD THIS - BETTER LATE THAN NEVER? ---------------------------In this episode of The Two Jacks, Jack the Insider (Joel Hill) and Hong Kong Jack tear into the Albanese government's deeply unpopular budget, the polling fallout, and Labor's failure to sell hard tax changes on housing, trusts and capital gains. They dig into intergenerational equity, how negative gearing and CGT discounts have locked younger Australians out of home ownership, and why the government refuses to “own the lie” on broken tax promises.The Jacks then turn to the NDIS blowout and ask whether the scheme now needs to be torn down and rebuilt from first principles to define who is genuinely eligible and where scarce disability money should go. The main course is the Royal Commission into Anti‑Semitism and Social Cohesion: what its narrow terms of reference miss, why Jewish kids still need security to go to school, how campus politics and parts of the progressive left have turned openly hostile to Jews, and why universities and the ABC are failing basic tests of impartiality and safety. They round things out with a postponed look at Keir Starmer's woes in the UK, Arsenal's title, State of Origin squads, an AFL reset at Carlton, the Tasmanian Devils project, and why pokies – not punters on the nags – are still the real engine of problem gambling in Australia.Timeline (with +25 seconds added for theme music)I've shifted each timestamp forward by 25 seconds to allow for your theme.00:00 – Two Jacks back on deck, Hong Kong plansJack the Insider (Joel Hill) opens the show, checks in with Hong Kong Jack, and talks about heading to Hong Kong in December to speak at a Carbine Club lunch and maybe record from Jack's pub.00:50 – What's on today's menuOutline of the episode: the federal budget and polling, the Royal Commission into Anti‑Semitism and Social Cohesion, plus (time permitting) Keir Starmer's woes in the UK and, as always, a serve of sport.01:20 – Budget reception and grim pollingThe Jacks walk through Morgan, Newspoll and Demos numbers: Labor's primary stuck in the high 20s–low 30s, One Nation uncomfortably high, and more than half of Australians expecting to be personally worse off under the budget.02:20 – What really matters in a budget: hurt vs “right thing to do”Hong Kong Jack argues the key test isn't whether people feel worse off, but whether they think the budget is the right thing to do, and how that plays into the “battle of ideas” between Labor/Greens and the Coalition/One Nation.03:10 – Intergenerational pitch that never landedJack the Insider dissects Labor's attempt to sell long‑term intergenerational reforms on housing, negative gearing and CGT to millennials and Gen X/Y, and why measures that don't bite until the late 2020s mean nothing to a renter trying to scrape a deposit together now.04:20 – Media honeymoon over and Labor's messaging shamblesDiscussion of how the government misread the media mood, looked stunned when formerly friendly outlets turned on the budget, and why you must expect pushback whenever you hurt someone with fiscal reforms.05:20 – Housing as the core fracture in Australian societyThe Jacks talk about the structural divide between asset‑rich home owners and shut‑out younger cohorts, with home ownership among 30‑ and 40‑somethings collapsing while overall ownership rates barely move.06:20 – Trusts, capital vs labour and the “death duty” scareThey go into the new tax treatment of trusts, how few people actually have family trusts, exemptions for farms and small business, and Tanya Plibersek's bungled breakfast TV defence that let the “death duties” scare run wild.07:20 – Keating rides again: capital too lightly taxedPaul Keating's intervention is unpacked: the argument that the Howard‑era 50% CGT discount helped push house prices from nine times income to 16, and that income is over‑taxed while capital is under‑taxed.08:20 – You can't sell reform if you won't own the lieThe Jacks compare Albanese's handling of broken tax promises with the Hockey/Abbott 2014 “horror budget”, arguing the only way through is to admit circumstances changed, own the lie and explain why you're breaking it.09:25 – Lessons from the 2014 Hockey–Abbott fiascoThey revisit how that budget enraged almost every demographic, how badly it diverged from public opinion despite elite commentary cheer‑squads, and how it helped end both Tony Abbott's and Joe Hockey's careers.10:40 – Can this government reset its pitch?Talk turns to what Labor must do now: scrap the ill‑judged intergenerational “marketing”, articulate clearly that the aim is to rebalance tax from workers to asset holders, and craft a story that can actually be sold.11:25 – NDIS: who's in, who's out and can it be saved?With the NDIS projected to save tens of billions over the forward estimates, Jack the Insider worries about vulnerable people being turfed off the scheme and the political heat that will follow.12:15 – Defining disability and rationing scarce careThey debate whether the scheme should prioritise those with severe physical or cognitive impairments, the difficulty of diagnosing conditions like ME/CFS and long COVID, and the unfairness of some mildly affected participants getting full supports while bedridden patients miss out.13:20 – “Chuck it out and start again?”Hong Kong Jack argues that the only way to fix the NDIS may be to go back to first principles: clearly define eligibility, decide what taxpayers can afford, and accept that these are inherently political choices, not just technocratic ones.14:00 – Enter the Royal Commission into Anti‑Semitism and Social CohesionThe show moves to the new Royal Commission: why the Albanese government was dragged into it, public misconceptions about royal commissions as hanging courts, and what they realistically can and can't fix.14:45 – Royal commissions: shining a light, not magic wandsThe Jacks compare this inquiry with past ones on institutional child abuse and banking, noting how many victims and consumers were left dissatisfied even as some important truths were dragged into the open.15:30 – Terms of reference and an immediate blind spotThey read through the Royal Commission's focus areas – antisemitism drivers, law enforcement and security responses, the Bondi attack, social cohesion – and point out that live criminal proceedings severely limit any examination of the Bondi killer and his father.16:30 – ASIO, counter‑terror cuts and missed warningsJack the Insider notes reports that ASIO cut counter‑terrorism to its lowest level since 9/11 and questions how that could be justified given far‑right activity, Islamist threats and general extremism.17:25 – From “terror hotlines” to BondiHe recounts his own experiences calling the National Security Hotline: indifference before the Old Parliament House fire versus a swift response after the Wieambilla police killings, and what that says about how inconsistent the system can be.18:30 – Private Jewish security and a ball dropped by NSW PoliceThe Jacks highlight reports that Jewish community security raised concerns with police about the Hanukkah festival at Bondi being a vulnerable target, yet only a handful of officers were rostered locally on the day of the attack.19:30 – What should the Commission actually deliver?Discussion of how much of this will be buried in redacted security recommendations versus visible cultural change, and whether the measure of success is Jewish kids being able to attend school or synagogue without armed guards or harassment at university.20:25 – Is anti‑Semitism worse than any time in the last 50 years?Both Jacks agree that anti‑Semitism has surged, then tease out what's driving it on the hard right and increasingly in progressive circles.21:00 – From neo‑Nazis to “global puppeteer” tropesThey explain how anti‑Jewish conspiracy theories about control of banking and politics have spread far beyond small neo‑Nazi cells into broader right‑wing ecosystems, amplified by US media figures who frame Benjamin Netanyahu as a world puppeteer.21:55 – The progressive left's turn against JewsHong Kong Jack describes how the most progressive parts of parties like UK Labour were once full of Jewish members and staff, and how those same spaces are now inhospitable or openly hostile.22:40 – Being Jewish does not equal supporting NetanyahuJack the Insider tells the story of a Jewish oncologist friend in Sydney being accused on social media of “supporting killing babies” simply for trying to explain that many Jews detest Netanyahu and don't back the war in Gaza.23:35 – Progressive Jews feel politically homelessThe Jacks talk about liberal Jews who marched for every progressive cause now finding their neighbours tearing down hostage posters and abusing them, and how emotionally disorienting that break has been.24:30 – Campus culture: free thought or intimidation?They turn to universities, where Jewish academics and students are hiding kippot and Star of David jewellery as staff and student activists target them under the banner of Palestine solidarity.25:15 – Universities failed the basic test: safetyReferencing Greg Craven, they argue universities like Melbourne have utterly failed to keep Jewish students and staff safe and that Education Minister Jason Clare is right to tie some funding to universities' performance on this.26:05 – Writers' festivals, awards and performative politicsThe Jacks briefly digress into Miles Franklin and writers' festivals, mocking the inflated status of “scribblers” and the way literary events have become echo‑chambers for fashionable political positions, including a strong anti‑Israel tilt.27:05 – ABC bias, diversity bureaucracy and the West as villainThey discuss claims that the ABC has an institutional bias against Israel, the way its culture tilts anti‑Western generally, and how a hyper‑bureaucratic diversity regime has replaced clear editorial judgement.28:15 – Diversity box‑ticking and absurd examplesFrom Danish filmmakers being grilled about casting in a 1750 Denmark period piece to arguments about race in a new Odyssey adaptation, they skewer shallow diversity policing that obsesses over skin colour while missing substance.29:05 – Jewish history: persecution on repeatJack the Insider places today's situation in a long arc – from pogroms to Poland–Lithuania's historic tolerance, to the near‑eradication of Polish Jewry in the Holocaust and the emptying out of Jewish communities across the Arab world.30:15 – The modern diaspora: Middle East to ShanghaiThey note surviving Jewish communities in Iran and the historic Jewish community in Shanghai, including refugees from the Russian Revolution and how some of those families later ended up in Sydney.31:00 – What the Royal Commission can't fixThe Jacks stress that the inquiry will not “solve” anti‑Semitism, racism or Islamophobia, and that debates over immigration – often weaponised by racists and opportunists like Pauline Hanson – will continue regardless.31:50 – Treat people equally, drop loaded labels?Hong Kong Jack argues terms like “anti‑Semitism” and “Islamophobia” can bog debate down in definitions and that the better approach is to apply one standard of treatment for all minorities and majorities.32:30 – Immigration, xenophobia and political opportunismThey revisit African “crime gangs” rhetoric under Dutton and Morrison as an example of immigration concerns being used as a vehicle for xenophobic politics, while acknowledging there are legitimate policy questions about migration levels.33:20 – The ABC and fear of making decisionsThe Jacks see the ABC's huge manuals and committees as a symptom of executives who won't make hard editorial calls and instead hide behind process, leaving real bias and safety issues unresolved.34:15 – Royal Commission yardstick: kids and campusesThey circle back to the Commission's ultimate test: whether Jewish kids can attend school and university without harassment or needing a private army of guards, even if that goal is a long way off.35:10 – UK politics teaser: Keir Starmer on the rackThe promised Starmer and UK Labour segment is postponed to next week, with a quick note on how unpopular he's become and how leadership polling improves when pollsters insert alternative names like Andy Burnham.36:05 – Sport: Arsenal's title and Man City's stumbleSport segment begins. The Jacks celebrate Arsenal wrapping up the Premier League after Manchester City's draw with Bournemouth and talk up Arsenal's chances in the Champions League final.36:55 – Aston Villa's big year and the money gapAston Villa's Europa League win over Freiburg is praised, with a note on the massive wage‑bill gulf between the clubs and the broader point that money helps but doesn't always guarantee silverware.37:50 – Relegation scrap and wage‑bill madnessThey look at West Ham, Spurs and Everton in the relegation battle, and at Liverpool's huge salary spend versus their likely fifth‑place finish to show that cheque‑book football has its limits.38:40 – NRL: Origin squads and surprise omissionsOver to rugby league: New South Wales debutants, James Tedesco's recall, Queensland's squad, and the notable omission of Rhys Walsh despite his past Origin heroics.39:25 – Penrith cruising, Broncos smashed and the Dolphins riseThey run through club form – Penrith purring, Warriors flogging the Broncos, the Dolphins and Knights impressing – and how that shapes the season.40:05 – “Magic Round” and marketing guffThe Jacks puzzle over the “Magic Round” concept, comparing it to the AFL's Gather Round and questioning who actually wants to sit through four games at a ground in one day.40:45 – AFL: Hawthorn's Launceston fortress and the coming DevilsDiscussion of Hawthorn's strong record in Launceston, the economic benefits to northern Tasmania, and the AFL's decision to clear the decks for the new Tassie Devils to represent the whole state.41:35 – Carlton's first‑up win after sacking VossThey unpack Carlton's win under interim coach Josh Fraser, the myth of the “new coach bounce”, and how much was actually driven by younger players stepping up and Patrick Cripps taking over late.42:30 – New kids, Parkside hard men and a trip to PortPraise for Ollie Hollands, Jack Ison and other young Blues, a nostalgic nod to brutal Parkside days in the Ammos, and a realistic assessment of Carlton's next test away to Port Adelaide.43:25 – Richmond v Essendon: spoon bowlPreview and framing of Richmond–Essendon as a likely wooden‑spoon decider, with both clubs in different stages of rebuild and pain.44:00 – Geelong v Sydney and reinventing on the runThe Jacks preview the big game at GMHBA, note Geelong's outstanding home record and ability to regenerate with pacey youngsters, and talk about Tyson Stengle's return and Geelong's track record with troubled players.45:05 – Racing, sports betting and the real gambling scourgeThey read and agree with a listener comment that the problem‑gambling spotlight has been cleverly shifted onto racing and sports betting, while pokies – the main driver of harm – skate by.46:00 – WA vs NSW: two natural experiments in pokiesUsing WA's “casino only” pokies model versus NSW pubs and clubs, they highlight data showing problem gambling rates under 1% in WA versus around 5% in NSW.46:45 – Why pokies wreck people faster than the puntThey explain how continuous‑play machines let you burn through cash in seconds, whereas racing forces a pause between bets and makes you consciously choose the next wager.47:25 – JFK gag and conspiracy cultureHong Kong Jack closes with a joke about a JFK conspiracy theorist meeting God and still believing “it goes higher than I thought”, segueing briefly into Jack the Insider's view that Lee Harvey Oswald was indeed the gunman.48:15 – Wrap‑up and call for listener topicsThe episode finishes with thanks, a reminder that Jack the Insider is Jack and Hong Kong Jack is Jack, a promise to tackle Keir Starmer properly next week, and an invite for listeners to send in topics via Twitter and email.

Hoy te traigo un episodio que se sale completamente de lo habitual y que ha supuesto un auténtico terremoto en mi forma de plantear los contenidos. Todo viene de un cambio de estrategia radical que decidí tomar tras pararme a analizar las estadísticas de los últimos programas. Me di cuenta de un detalle muy tonto pero crucial: te estaba hablando de herramientas increíbles, de los maravillosos conectores MCP y de bases de datos súper avanzadas... ¡pero no te había mostrado al verdadero protagonista de la película! Te estaba hablando de accesorios y complementos sin enseñarte el agente de Inteligencia Artificial que los gobierna a todos. Es como si te diera un manual de bujías sin mostrarte el motor del coche. Así que he decidido pausar el resto de temas técnicos y traerte directamente a Hermes Agent. Y para hacerlo de la manera más honesta y didáctica posible, hoy no te lo voy a contar yo solo: he dejado que mi propio agente de IA local tome el control del micrófono para demostrarte de lo que es capaz en tiempo real, sin nubes y sin cortes.El cerebro que vas a escuchar hablar a lo largo de este podcast se llama Lara. Es el agente que he configurado utilizando como cimiento el proyecto de código abierto Hermes Agent.Para demostrar que este tipo de tecnologías está al alcance de cualquiera y no requiere un hardware inalcanzable, he configurado a Lara para que funcione en un Slimbook One de lo más modesto. No cuenta con tarjeta gráfica (GPU) ni coprocesadores de IA (NPU); corre única y exclusivamente tirando de CPU, de procesador clásico. Para que podamos comunicarnos con ella y escucharla, utilizamos herramientas locales tanto para el reconocimiento de voz (Whisper) como para el paso de texto a voz (TTS). Al no disponer de un hardware de aceleración dedicado, notarás que la voz de Lara suena con ese puntito robótico clásico del software local y que a veces pronuncia de forma un tanto peculiar palabras en inglés como "YouTube" o "skills". Pero te aseguro que, en cuanto la escuchas interactuar un rato y negociar el guion del programa, le coges un cariño increíble. Especialmente porque Lara no tiene esa amabilidad artificial y empalagosa de los asistentes comerciales que te dicen "claro, con gusto te ayudo"; ella tiene su propia personalidad.En este programa vas a poder escuchar de primera mano cómo funciona este sistema a través de siete demostraciones reales y en tiempo real. Aunque preparamos un guion base inicial, las últimas pruebas las hicimos completamente al azar y sin red para ver hasta dónde podíamos exprimir la CPU del Slimbook:Demo 1: Lara realiza una búsqueda en vivo en Internet sobre las últimas tendencias y vídeos de agentes de IA localesDemo 3: Mi demostración favorita. Conectamos una base de datos local con más de 1600 recetas a nuestra lista de la compra inteligente.Demo 4: Accedemos a mi archivo personal de más de 3300 notas de texto y tareas pendientes integradas.Demo 5: Conectamos a Lara con mis datos de Strava del último mes. Demos 6 y 7: El experimento final sin red. Lara resume las noticias de tecnología más destacadas.Capítulos del episodio00:00:00 Cambio de estrategia: ¿Por qué necesitas un agente?00:03:36 Presentación de Lara y su cerebro local00:05:32 Demo 1: Búsqueda y análisis de información en Internet00:07:53 Demo 2: Multitarea paralela con subagentes00:09:51 Demo 3: Recetas de cocina y compra inteligente00:13:58 La importancia de la búsqueda semántica en tus notas00:14:48 Demo 4: El sistema de notas y tareas conectadas00:16:51 Demo 5: Controlando mis entrenamientos con Strava00:19:14 De la teoría al caos: Demos aleatorias sin red00:20:21 Demo 6: Noticias de tecnología e IA al día00:22:29 Demo 7: Resumen inteligente de textos extensos00:26:14 Taller presencial de Valencia: Trasteando con Hermes00:28:51 Hermes vs OpenClaw: La experiencia real de Daniel Primo00:29:52 Privacidad y hardware: Modelos ejecutados en CPU local00:30:26 Cierre del episodio y comunidad Atareao

Marco Turati"Porte Aperte Festival"Musica Scrittura FumettoCremona, dal 4 al 7 giugno 2026XI Edizionewww.porteapertefestival.it In un panorama globale segnato da profonde incertezze e tensioni crescenti, la realtà ci appare frammentata e spesso contraddittoria. Quest'anno più che mai vogliamo quindi offrire uno spazio fisico e mentale in cui il confronto e la riflessione comune sostituiscano la paura e diventino strumento per trasformare l'inquietudine in partecipazione attiva e consapevole.Con questo respiro culturale e civile, l'Associazione Culturale Porte Aperte Festival, insieme al Comune di Cremona, è felice di annunciare che l'undicesima edizione del Porte Aperte Festival animerà la città dal 4 al 7 giugno, con la direzione artistica di Andrea Cisi, Mario Feraboli, Marco Turati, Marina Volonté, supportata dalla collaborazione di Michele Ginevra, del Centro Fumetto Andrea Pazienza e dell'Arcicomics di Cremona per la curatela del segmento dedicato al fumetto.Il tema di questa nuova edizione è DEMOS: che ci parla di collettività, integrazione e legami.Demos è cittadinanza e partecipazione attiva. È democrazia e incontro tra culture differenti che si contaminano. È il complesso, affascinante e sempre mutevole rapporto tra popolo e regole di convivenza, all'interno di una comunità. Demos è un altrove, dove i diritti dei più deboli vengono calpestati e la voce delle minoranze soffocata. Ed è proprio lì dove, viceversa, abbiamo pensato più importante accendere i riflettori. Grazia La Padula è l'artista che ha dato vita al manifesto di quest'anno: un'illustrazione poetica e nel contempo rivoluzionaria, che sfida convenzioni dogmi e stereotipi, parlandoci di incontri, affetti e cura, anche laddove dominano violenza e pregiudizi. Classe 1981, esordisce nel 2009 in Francia, dove vince i premi “Jeunes Talents” del Festival di Angoulêm e Écureuil découverte. In Italia pubblica storie brevi nell'antologia Zero tolleranza (edizioni Beccogiallo) e sulla rivista Mono (Tunué). Fra il 2011 e il 2014 escono i suoi due volumi Les échos invisibles, realizzati su testi e sceneggiatura di Tony Sandoval. L'anno successivo la versione integrale di questo graphic novel viene pubblicata in Italia da Tunué in un volume unico con il titolo di Echi invisibili. Dal 2005 tiene mostre personali e collettive in Italia e all'estero. Il giovedì pomeriggio nel Cortile di Palazzo Roncadelli Manna torna per il quinto anno l'appuntamento con “ALTER - Le stanze della traduzione” il partecipato ciclo di incontri dedicato alla pratica, all'etica e ai mondi della traduzione letteraria, inserito nel programma del PAF. ALTER immagina una stanza metaforica dove ricostruire lo spazio in cui i traduttori e traduttrici compiono ogni giorno un lavoro tanto fondamentale quanto invisibile: permettere alla letteratura di varcare frontiere, avvicinare culture e nutrire il nostro immaginario collettivo. Quest'anno siamo felici di accogliere Marco Federici Solari - studioso di letteratura comparata, editore e cofondatore de L'orma editore - Eusebio Trabucchi - curatore editoriale e traduttore, studioso di epistolari e semiotica dei monumenti - Donata Feroldi - traduttrice di grandi classici francesi nonché pilastro di ALTER dalla sua prima edizione - e Silvia Pozzi -professoressa di lingua cinese e traduzione all'Università di Milano Bicocca-.Per la sezione dedicata alla letteratura siamo felici di annunciare la partecipazione di grandi voci del panorama italiano tra cui Luca Bianchini, Annalisa Camilli, Gaja Cenciarelli, Paolo Di Paolo, Orazio Labbate, Christian Raimo, Veronica Raimo, Ilaria Rossetti, Elana Varvello. Il segmento del fumetto avrà ospite l'autrice del manifesto 2026, Grazia La Padula, insieme ad altri nomi italiani e internazionali. Tra questi, il fumettista iraniano Majid Bita che presenterà il suo graphic novel L'autobus incantato, dove l'autore torna a raccontare la realtà del suo Paese con uno sguardo insieme personale e collettivo. Per gli appuntamenti musicali, che avranno luogo presso il Cortile Federico II, citiamo – tra i vari ospiti - Ginevra Di Marco con il concerto-spettacolo dedicato a Luis Sepúlveda, Andrea Chimenti, già frontman dei Moda, uno dei gruppi capostipiti del rock italiano degli anni ‘80, oltre che prolifico autore e Tära, giovane cantautrice italiana di origini palestinesi, che ha infiammato il palco di Propaganda Live nel marzo 2026 esibendosi con i Subsonica nel brano "Straniero" (presente anche nel loro ultimo lavoro discografico). La sua musica unisce italiano, inglese e arabo, per raccontare la cultura palestinese. Confermato anche l'atteso format dei reading letterari, con ben tre appuntamenti, tra i quali si segnalano al momento Elena Radonicich e Paola Caridi (con sudari da Gaza). In attesa del festival, non possiamo non menzionare le anteprime di “Quartieri in giallo”, rassegna di romanzi polizieschi nei quartieri di Cremona, che ci accompagneranno fino all'inizio di giugno.• Venerdì 8 maggio ore 18.00 – Massimo Lugli presenta La gang delle 3 b (Newton Compton ed.)Conducono Beatrice e Marco Tanzi• Venerdì 15 maggio ore 18.00 – Grazia Scanavini presenta Burattinai (Salani ed.)Conduce Simona Frassi• Venerdì 22 maggio ore 18.00 – Jacopo De Michelis presenta La montagna nel lago (Giunti ed.)Conduce Riccardo Maruti• Venerdì 29 maggio ore 18.00 – Fulvio Ervas presenta L'insalvabile (Marsiglio ed.)Conduce Marco GhizzoniInoltre, per gli amanti del fumetto, un appuntamento di grande spessore si avrà• Sabato 9 maggio ore 17.00 con Leo Ortolani. Che presenterà il suo ultimo lavoro, Tapum (per Feltrinelli comics).Diventa un supporter di questo podcast: https://www.spreaker.com/podcast/il-posto-delle-parole--1487855/support.IL POSTO DELLE PAROLEascoltare fa pensarehttps://ilpostodelleparole.it/

Hello everyone, welcome to another exciting episode of VR in Education, where we explore how virtual reality is being used to transform teaching and learning  In this episode of VR in Education, we are speaking with Devin Marble, former paramedic, communication specialist and podcaster, now Head of Enterprise Growth at ArborXR and an XR expert working at the intersection of immersive technology, workforce readiness, and scalable training. Building from his riveting TEDx talk on immersive practice, we explore why VR, AR, and MR must move beyond impressive demos and become part of a deeper learning system built around repetition, feedback, and real-world performance. 

#Gloria #GloriaDios #Devocional #VidaCristiana #temorADios #ccvnlm #theccvnspodcast #cristo #cristianismo #LaPalabraDelSeñor #GersonGonzález

Wer im B2B verkauft, spürt es täglich: social-media-kanäle entscheiden mit, ob Anfragen entstehen oder versanden. Braucht es wirklich mehr als LinkedIn? Je nach Zielmarkt und Kaufphase wirken weitere Kanäle erstaunlich stark. In Projekten fällt uns immer wieder auf, wie sehr Bewegtbild Vertrauen auslöst. Diese Folge sortiert, zeigt typische Einsatzfälle und liefert einen kompakten Fahrplan. Mitreden statt nur reinhören. Die kostenfreie Community Vertrieb & Verkauf wartet hier: https://stephanheinrich.com/skool LinkedIn als Basis im DACH: Reichweite, Dialog mit dem Buying Center, präzise Ads im Account Based Marketing, Social Selling als echter Austausch statt Produkt-Schubsen. Xing verliert in Deutschland: weniger aktive Nutzer, eingeschlafene Gruppen und Events, geringere Sichtbarkeit im Feed, schwächere Anzeigenleistung im Vergleich zu LinkedIn. YouTube als Suchmaschine: Tutorials, Demos und Referenzen schaffen Vertrauen, starke Auffindbarkeit über Google, lange Halbwertszeit. Ein 90 Sekunden Video aus dem Service schlägt jede Broschüre. Instagram und TikTok klug nutzen: kurze Projekt-Snippets, Menschen zeigen und Fortschritt dokumentieren, gut für Employer Branding und frühe Problemwahrnehmung, sauber messbar mit UTM und klaren Handlungsoptionen. X und Reddit in Nischen: relevant für Tech, Medien und schnellen Diskurs, passendes Monitoring und klare Spielregeln verhindern Streuverluste. Praxisfahrplan: Zielkundenprofil und Kaufphase klären, Format wählen, Redaktionsrhythmus festlegen, Leadpfad mit Landingpage und CRM definieren, regelmäßig auswerten und nachschärfen. Hier können Sie sich einen für Sie passenden Gesprächstermin auswählen: https://stephanheinrich.com/trainingsanfrage/

Envíame un mensajeExiste mucha confusión en torno al Espíritu Santo. He aquí un catecismo básico sobre el Espíritu Santo: tres acciones, tres gracias, tres enemigos, tres fiestas y tres oraciones. El Espíritu Santo ilumina la mente, fortalece la voluntad y enciende el corazón. Si un católico no practica su fe, se debilita. Demos un paso de fe y vivamos esta fiesta (y octava) de Pentecostés como verdaderos católicos.Peregrinación a España y PortugalDel 9 al 21 de noviembre de 2026, te invitamos a una profunda peregrinación a España y Portugal.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showYouTubeFacebookTelegramInstagramTik TokTwitter

Electra CEO Marc Allen talks with Karen Walker about the new EL9 hybrid-electric aircraft.

The new AIEWF website is live! CFPs close in 2 days and we will run our first New Engineer Orientation this weekend, get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!One of the central tensions in the agents industry is that even while there are major decacorn agent labs like Sierra, Decagon, Notion and Cursor being built up, it is also true that it has never been easier to DIY agents, with a plethora of agent frameworks like LangGraph and Pydantic and Flue, and managed agents from Anthropic and Gemini and Amazon. There has been a wave of companies building their own background agents from Shopify to Stripe to Paradigm to Razorpay, and even Cognition's friends Ramp have built their own coding agent with other friend Modal.You'd think Cognition might feel a bit threatened, but they're not - even after all this, they were way oversubscribed for the $1B Series D they just announced:Walden Yan, coiner of context engineering and Chief Product Officer/Cofounder of Cognition, invited OpenInspect's Cole Murray to talk about why the Devin is in the Details.Full conversation live on the pod today: In retrospect, async agents were the most AGI pilled bet you could make in 2024 - the models weren't good enough yet to vibecode, and people didn't trust AI enough to let it rip, nobody (including early Cognition) was sure about the form factors. Now it is obvious:* The first wave of AI coding tools made the developer faster but remain heavily in the loop. Copilor and Cursor's tab autocomplete are prime examples However, the workflow was still heavily centered around and bottlenecked by the developer's local workflow: a developer in an IDE, watching the model, accepting or rejecting changes, and pushing code one interaction at a time.* The second wave was local agents: Claude Code, Windsurf, Cursor's agents pane: first one and increasingly many terminals all running concurrently.* The current Age of Async Agents points to a different future focused more on agent orchestration which drives end-to-end development.According to previous guest Steve Yegge, there are finer-grained 8 levels to agent adoption, but we have collapsed it into three.As Cursor's Michael Truell put it in The third era of AI software development:Cursor is no longer primarily about writing code. It is about helping developers build the factory that creates their software. This factory is made up of fleets of agents that they interact with as teammates: providing initial direction, equipping them with the tools to work independently, and reviewing their work.The agent should not sit solely inside the developer's flow. It should be setup to work in the background so that you can give it a task, a repo, a machine, a shell, a browser, tests, memory, and review loops to go do the work somewhere else.In less than a year, the sentiment has shifted from avoiding multi-agent systems:to suggesting approaches that actually work:From coining “context engineering” to building the infrastructure behind Devin's 7x PR growth and jump from 16% to 80% of commits across Cognition repos, Walden Yan has had a front-row seat to the background-agent shift. In this episode, Cognition co-founder and CPO Walden Yan joins swyx alongside Cole Murray, creator of OpenInspect, to unpack why everyone is building their own Devin, what changed after the December 2025 model inflection, and why “spec to pull request” is now becoming a real production workflow.We go deep on the architecture of background agents: harness-in-the-box vs out-of-the-box, why Devin separates the “brain” from the machine, why repo setup is still one of the hardest problems, why Docker is not always enough, and how full VMs, snapshots, scoped secrets, GitHub bots, Slack integrations, and video-based testing all fit together. Walden and Cole also dig into memory, MCP limitations, multi-agent orchestration, AI code review, SRE auto-triage, PMs shipping code from Slack, Windsurf 2.0, hybrid frontier/sub-frontier systems, and the real failure mode of uncontrolled vibe coding: your codebase regressing to your worst engineer.And as agents eat software… and software eats the world… you can draw the conclusion on what is next:We discuss:* Why the engineering world is waking up to background agents and cloud agents* The December 2025 model inflection that made spec-to-PR workflows practical* Devin's 7x merged PR growth and rise from 16% to 80% of commits* Why Cole built OpenInspect as an open-source background-agent system* The economics of $20/seat agent products and why monetization is tricky* What Cognition actually sells beyond Devin: infra, onboarding, integrations, and adoption* Harness in the box vs out of the box, and why architecture matters* Why Devin separates the brain from the machine for security and permissions* Repo setup, scoped secrets, Docker Compose, and agent-ready dev environments* Why full VMs matter when agents need to run real applications and test them* Android, macOS, Windows, nested virtualization, and machine-specific agent work* Why testing is much harder than “computer use”* Screenshots, video verification, and the “I know it works” merge moment* GitHub UX, Devin Review, AI reviewers, and agents responding to PR comments* Why MCP alone is not enough for first-class Slack and enterprise integrations* Memory, Knowledge, skills, Claude.md, and why retrieval is still unsolved* Devin's auto-generated memories and the challenge of memory pruning* Always-on agents as permanent PMs for issues, tickets, and product areas* Sub-agents, meta-Devin management, and what multi-agent systems actually add* Why pure auto-merge vibe coding breaks down after about two weeks* AI code smells, lint rules, reward hacking, and Semgrep for agent-written code* GitAI, inline context, and preserving the “why” behind code changes* Local testing, mock servers, older codebases, and preparing companies for agents* Windsurf 2.0 and the handoff between local foreground agents and cloud background agents* SRE auto-triage, support workflows, and agents as first responders* PMs, marketing, and non-engineers creating pull requests from Slack* AI agent budgets, $1k-$5k per engineer spend, and hybrid frontier/sub-frontier systems* The rise of autonomous coding factories and who Cognition is hiringWalden Yan* X: https://x.com/walden_yan* LinkedIn: https://www.linkedin.com/in/waldenyan/Cole Murray* X: https://x.com/_colemurray* LinkedIn: https://www.linkedin.com/in/colemurray/* OpenInspect / Background Agents: https://github.com/ColeMurray/background-agentsTimestamps00:00:00 Introduction00:00:43 Why Everyone Is Building Their Own Devin00:01:57 Devin's 2025 Ramp: 7x PR Growth and 80% of Commits00:03:49 OpenInspect and the Rise of Open-Source Background Agents00:07:59 What Cognition Actually Sells Beyond Devin00:09:56 Background Agent Architecture: Harness In vs Out of the Box00:12:08 Separating the Brain from the Machine00:14:07 Repo Setup, Secrets, Docker, and Full VMs00:19:13 Why Testing Is Harder Than Computer Use00:22:40 Video Verification and the “I Know It Works” Merge Moment00:23:19 GitHub UX, Devin Review, and AI Code Review00:25:42 MCP, Slack, and Enterprise Agent Integrations00:28:59 Memory, Knowledge, and Always-On Agents00:36:16 Sub-Agents, Multi-Agent Orchestration, and Meta-Devin00:43:55 Vibe Coding, Auto-Merge, and Codebase Decay00:48:38 Agent Infra, VPCs, Cloud Providers, and Fast VM Restore00:52:25 AI Code Smells, Reward Hacking, and Code Review Systems00:56:10 Making Codebases Agent-Ready00:58:30 Windsurf 2.0 and the Local-to-Cloud Agent Handoff01:01:15 SRE Auto-Triage, PMs Shipping Code, and Agent Use Cases01:04:32 Agent Budgets, Hybrid Models, and Autonomous Coding Factories01:06:51 Hiring at Cognition and OpenInspect Consulting01:07:45 OutroTranscriptIntroduction: Walden Yan, Cole Murray, and Context EngineeringSwyx [00:00:00]: All right, we're in the studio with Walden Yan, co-founder of Cognition, CPO.Walden [00:00:08]: Happy to be here.Swyx [00:00:09]: Which is a cool title. And coiner of context engineering.Walden [00:00:15]: Although I think there are many people who'd used the terms in various ways beforehand, but I did find that people, both internally and externally, enjoyed the upgrade from prompt engineering or model wrapping into maybe a more thoughtful way to build agents.Swyx [00:00:33]: For those who haven't caught up on that, I have on screen the Don't Build Multi-Agents post, which you should go read on and we might refer to, and Cole Murray, who created OpenInspect.Cole [00:00:43]: Great to be here.Swyx [00:00:43]: So let's talk about it. Everyone is building their own Devins. What's going on?The December Shift: From Handholding Models to Autonomous PRsCole [00:00:51]: So I think the engineering world is waking up to this idea of background agents, cloud agents, whatever you'd like to call it. And I think we saw a shift around the December timeframe of 2025, where the models Opus 4.5 and GPT 5.2, they reached a capability where we moved away from handholding the model and being able to actually more or less autonomously drive the model. And what I mean by that is that we could pretty much go from a specification to a completed pull request, assuming the spec was good enough, with very little friction. And that paradigm alone, I think, changed a lot of how we interact with agents, and opened this world where background agents became more practical.Swyx [00:01:41]: I think for Cole, everyone experienced this in December, but I feel like there was just this increasing ramp, right? There was this moment which was, I think, Sonnet 3.7, where, You guys rewrote Devin in one night or something. So describe 2025 or how it felt from your side.Walden [00:02:01]: In retrospect, we always thought it was ramping up, but then even now, over the last three, four months from today, it's been ramping up even faster. So it's almost funny to be talking about how, big of a leap Sonnet 3.7 was, and honestly, a lot of it was stripping out parts of Devin that were no longer needed with that jump in of intelligence. But I also just think that a lot of the recent leaps, especially, you look at, models like Opus and the latest GPT models, they are reaching levels of autonomy where people are actually finding that they actually can just be hands-off. And people who were once debating, “Oh, do I need to be in the weeds with my model in the IDE? Can I just completely move it off into the cloud?” That's a more serious conversation, and we've seen that in all of our growth charts. Internally there's this funny graph where our usage has, of PRs, our merged PRs, has grown 7X since I forget what it was called.Swyx [00:02:57]: I think Dev, maybe tweeted that. Yes.Walden [00:03:01]: it grew like 7X over, the last, I think it was, two months, three months, something like that. And then you see our engineering headcount growth. It's, gone up by, 10% or something.Swyx [00:03:11]: We were, we were afraid To release this. So this is Devin commit percentages on all Devin repos, was 16% in January and now 80% in March.Walden [00:03:25]: It's a big shift right now. And so it makes sense that a lot of people are now thinking about, buying Devin, but also maybe, trying to build their own and there's Lots of I have a lot of fun building Devin, so I can see why other people would want to build their own cloud agents as well. Matt, well, maybe it's good to hear, what initially inspired you to try to build OpenInspect?OpenInspect: Ramp, Cloud Agents, and Open SourceCole [00:03:49]: OpenInspect came about, through primarily my clients observing how they were using tools like Claude, OpenAI's Codex at the time, and seeing some of the friction that they were having with it. Primarily the Claude was being used through Slack, and a big issue they ran into was that the sessions that were launched were specific to whoever called it via Slack. And so if a PM was the one who invoked the session and they would then go to pass context to engineering can't see the session. And that in itself was a deal breaker because the PM, “Hey, engineering, can you jump in?” But there's nothing to jump in on unless they're copy-pasting out or the single response that came back. And so seeing some of these problems, I had built a similar architecture internally, just to experiment with, test out different ideas as this trend of moving off of localhost was starting to become, And as Ramp released their blog post, I had a lot of the pieces for this already in place, and just thought it would be funny to, see what Claude could do just purely from the blog post. And on my X account, there's actually a thread of where I live tweeted, going through thisCole [00:05:14]: comparing GPT and Claude as both of them are going through it.Swyx [00:05:17]: On the announcement thing or something else?Cole [00:05:19]: right after it got released. We can put it in the show notes. Yeah, it was helpful that I had already knew how to verify the system. I knew what I was looking for. I think Ramp did a great job of really illustrating, the technical aspects of how to build something. It was much more than just like, “Hey, we built a great system.” It was, “And here's how you can build it too.” And so, I resonated a lot with that, just with the problems that I was already seeing, and I thought that, looking around, I didn't really see anything in the open source community that, met this type of system. I think there's a lot that run, in localhost like Superset, Conductor, and many others.But nothing that was actually running in the cloud. And so, I built it, and I thought it was interesting to just open source it and allow anyone to then have a foundation that they can mix and match on top of.The Business of Background Agents: Open Source vs. DevinSwyx [00:06:16]: So literally after Devin was launched was, there was OpenDevin Which became All Hands. I don't know if you tried that orWalden [00:06:22]: I was going to say, one of the things that interested me a lot with OpenInspect was, you didn't try to go make it then something you monetize. There are a lot of, I think, these open source projects would then go and really try to, raise VSwyx [00:06:36]: That's why no OpenDevin. Yeah.Walden [00:06:38]: yeah, and how did you think about that? I thought that was very interesting.Cole [00:06:44]: I thought, and just what I had seen across my clients, was that having a background agent system is going to become a critical infrastructure within their company. And so because of that, I think that I wanted to open source it so that they could fork it and put in whatever customization they wanted. To that question though, I get asked all, “Oh, are you going to raise? Are you going to turn this into a service?”Walden [00:07:08]: I'm sure you've gotten offers.Cole [00:07:09]: but primarily I don't want to do that for a few reasons. One, I think that I don't want to compete for, $20 a seat. I think that is just a really difficult business. I think it's very easy to copy the main pieces of it. Again, I built this fairly quickly. And I think because you are not owning, I guess, the entire stack, it's hard to monetize. You have money being made at the sandbox layer with Daytona, E2b, many other players. You have money being made at the model layer. And you sit in this weird in-between gray area where what are you actually selling? You're selling, I guess, the infrastructure. You're selling, the integrations maybe.Swyx [00:07:55]: let's ask the guy. What are you What are you selling?Walden [00:07:59]: Well, yeah, there's multiple layers to this in practice, and actually it's funny you mentioned the infrastructure, ‘cause when we got started building Devin as well, we had to go figure out how to make the infrastructure as well because,Swyx [00:08:10]: You had to build this two years before everyone else,?Swyx [00:08:15]: Including, the model sideWalden [00:08:17]: It was not, it was not very polished at the start, when we just built it off of raw VMs from cloud providers like EC2, the boot up time was so slow, I think, And especially then, turning off the machines, saving them, and then to be able to bring them back up again when the, when you want Devin to wake up again later. It would just be out cold for like 10 minutes because that's just how long these systems took. They were not built for this repeated down and up usage. And so we actually had to go do all of that. And as a result now, one thing we offer when we go and sell Devin to people is, you don't have to worry about all the compute side of things. We'll make it work. We'll make it work in your cloud if you want it to. But aside from the product, and I want to go into the agents and the tuning of the intelligence part later, but I think a big part of what we do at Cognition as well is to just make sure that your company learns and uses and adopts these coding agents. ‘Cause I think for especially the largest enterprises in the world, you find that there is a lot of people who want to move over to using AI for their day-to-day workloads. But because of the way projects are planned, because, not everyone is literate in using AI in these ways, having a team of engineers who can actually go in and onboard you, set up all the integrations you need, the automations you need to really get to that level of, leverage with AI, is super helpful. And so We do that. We show thought partners to the customers that we work with as well.Swyx [00:09:56]: So let's talk about, architectural stuff. I think that's always, that is something that was the topic of conversation between the two of you. Is this, the mental model that you want to start with or something else? I'll just leave the floor open to you guys.Agent Architecture: Harness in the Box vs. Out of the BoxCole [00:10:11]: I think, maybe we can start here as just a general what are the pieces of a background agent system. And then maybe we can go into some of the nuances of, Decisions that you can make.Swyx [00:10:22]: But I guess I also Like, what, maybe what Walden is saying is the agent is like in this open code box, I guess. Right? This is infra, and then there's, that's the agent. And you had this discussion about whether you put the agent in here or in Out externally. Can you tease that out?Cole [00:10:39]: In a background agent systems, you have a decision to make of where the agent is actually going to run. This is typically described as the harness in the box or out of the box. With running the agent in the box, you're making some trade-offs by doing that. The negative trade-off you're making is primarily security. Because the agent is running in that box, unless you otherwise design it, all of your secrets need to go into that box as well. And given the nature of AI, it can be unpredictable, and you could very easily end up accidentally exfilling your secrets, or other unintended behavior. Now, the out of the box is the idea that we are going to have the actual agent running not directly in the sandbox, and we will have, quote-unquote, the brain of the agent running in some type of worker, control plane. That sandbox then is going to serve as the hands where the brain is basically operating and making tool calls into that environment to manipulate it. I guess other trade-off that you're making between the two systems is that, in my opinion, running it out of the box is much more complex because, you have state that has to be managed, whereas if you're running it in the box, all of the state of that agent is actually in the box, and yes, it's you could persist it elsewhere, but it's all localized and you have less concerns to worry about.Walden [00:12:08]: I think a lot of that, what you mentioned, is why we actually from the start built Devin to what we called separate the brain from the machine. The other thing that this allows you to do is reuse any existing infrastructure you have for dev boxes Perhaps. And so you don't have to worry as much about making a new type of dev box that has all the dependencies the brain needs, as you mentioned, the secrets the brain needs as well. One thing that we've seen some customers run into is, you have a GitHub app and you want Devin, your agent, whatever, be able to interact with GitHub through this application, but then you have different users with different actual permissions. If they are all interacting through the same GitHub app and there's no actual, separation between the system that decides, what it does and the actual secrets on the machine, then you run into an issue where, okay, it's hard to do the separation. But in practice, with Devin, it's much easier because we just say whatever you put on the machine, that is, the scope of basically what the user is free to do, what the agent is free to do. So only put the most scoped secrets on that machine, and then the brain is fully not accessible from the machine. So you don't have to worry about messing with the, any of the most secure parts of the brain if the user is free to do whatever they want with the machine.Swyx [00:13:31]: I was going to just bring, I have this, chart from OpenAI, where I don't know if this is, in the box, out of the box. That is something that they do use to describe it. And then also recently Anthropic did, managed agentsSwyx [00:13:44]: Which is, this is their thing. I don't know. It's all, it's all variations of the same pattern, right?Cole [00:13:49]: So this would be out of the box.Swyx [00:13:51]: Which, is preferable for them because it's less work?Cole [00:13:56]: I would say it's more work.Swyx [00:13:58]: It's more work?Cole [00:13:58]: But it, in my opinion, it is the better architecture of the two. It's just, you're taking on a bit of complexity by doing that.Repo Setup, Docker, and VM-Based Development EnvironmentsWalden [00:14:07]: One thing I've not seen a lot of other players do well is how do you manage what's actually on the box? And this can be complex for many reasons. Let's say you have a big repository that's changing and updating a lot with changing dependencies. How do you make sure that the working environment of the agent actually stays up to date, has all the credentials it needs to, let's say, run the app and test it, and all the things you want your autonomousSwyx [00:14:34]: So a repo setup.Walden [00:14:35]: Exactly. So in, internally At Cognition, we call this repo setup.Cole [00:14:39]: The hardest part ofWalden [00:14:40]: It's been a perennial problem since the start of the company, of how do we help people get this set up? Because not everyone just has, working cloud environments working out of the box. And do you find this to be a common problem withSwyx [00:14:53]: How do you solve it?Walden [00:14:53]: Your clients?Cole [00:14:54]: This is a very common problem, and through my consulting, this is a lot of what I help teams do. A lot of teams don't really have great developer environment setups, if any. A lot of the times it's, “Go talk to Bob and get the secrets,” and that obviously doesn't work when the agent needs to actually set this up. And so a lot of that, most teams are using Docker Compose or some type of microservices. And so for theSwyx [00:15:19]: Even in prod?Cole [00:15:20]: Not in prod. With the OpenInspect, you are using this primarily to interact, and make code changes. There is other use cases, but you can hook, whether through CLI, MCPs, other tools, you can then hook that into your production systems primarily for, SRE type use cases. But you are not, necessarily, trying to test your prod internal microservice through the system.Walden [00:15:48]: And you mentioned Docker Compose. I think one direction we saw some of our friends take early on was, using Docker containers as the level of abstraction for their models. There's lots of reasons, I think, why Docker containers are not great. One thing is, Docker container's not really a true security boundary, for one. But the other is, if you are running real applications, a lot of times those applications use Docker, and then you have to think about Docker in Docker, which is, really weird. And so I think part of, the really hard challenge of getting VMs to work, why did we do that? Well, it was because we realized that you actually needed, full VMs to be able to do these types of things. And especially nowadays where there's actually value in running the application and clicking around and sending you screen recordings of these things. The value just, keeps adding on top of that. But it is a decision I see people run into when they try to build their own systems, is, “Oh, do we, in addition to this, do we put the agent in the machine or out of the machine? Do we use Docker? Do we use something else?” What do you recommend people nowadays?Cole [00:16:57]: I think Docker is a good solution for maybe not running the agent, but running your infrastructure, because that is more or less the same setup your engineers are probably already using. If they're not, then I don't know what they're using. But they're probably already using Docker Compose.Swyx [00:17:14]: I've always had a small candle for web containers. I don't know if you guys have tried them before.Swyx [00:17:19]: To me, they were, supposed to be like Docker Light.Cole [00:17:22]: Is it?Swyx [00:17:22]: I don't know.Cole [00:17:22]: No, I haven't tried it. But yeah, I think any environment that you've set up that is a good experience for your developer naturally lends itself to being easy to set up for the agent. And once you figure out that local developer story, you've more or less solved the agent in a sandbox, environment setup. OpenInspect does have hooks as well, where you can, run a setup SH script that will pre-install everything. You can then pre-snapshot that build so it starts instantly, and then there is a second hook to actually then, restore the state of the sandbox when it comes back. And so you can already have all of those microservices running and basically get the same experience that you would on your machine within the sandbox.Testing Agents: Computer Use, Screenshots, and Real App WorkflowsWalden [00:18:08]: Another thing that we've been thinking a lot about is like Different VM service offerings. Have you had customers where they needed like macOS specific VMs or like Windows specificWalden [00:18:20]: VMs?Walden [00:18:22]: There are like many technologies in the world that only work on specific types of machines, right? If you're building a.NET application that has to run on Windows or like, maybe more commonly if you want to build iOS or macOS Does that workSwyx [00:18:32]: Does Commission supportSwyx [00:18:33]: Choices like that?Walden [00:18:35]: The fundamental architecture we do, because we do the separation, it does support, but the actual work in progress is happening right now on these. Another thing that we've actually recently added support now for, it's in beta, is doing Android development. To do that, we needed to support, I think, nested virtualization within our machines because the VM itself is like a, is a virtualized Firecracker instance, and then you had to then run another Android emulator inside. And there's like weird performance issues that like, it, which is why it's like still in beta. We have to think through these problems, but it unlocks a lot for anyone who wants to do Android development.Swyx [00:19:13]: I was trying to find like a reference video for the testing thing. I couldn't find it, but I think you worked on the testing, capability. Why call it testing and not like computer use or I don't know, it's, what's the general Category of problem?Walden [00:19:26]: I think that when people think about the ability of an AI to run your app and test it, I think they actually over-index on the computer use part of it because computer use in my mind is the literal, okay, you want what button you want to click. Can you emit the right coordinates to go click that button? I think testing is actually a really interesting likeWalden [00:19:48]: Problem-solving, challenge for these AIs because if you wanted to do arbitrary testing, imagine you make a change that spans the frontend and the backend, maybe, even some other like even more deeply nested service. To actually test that change, we have to reason through what-- how do you first run these applications to orchestrate with each other with the right version of the code? Then, okay, how do I trigger the feature or how do I make the thing actually happen? And this can get arbitrarily hard, maybe you have to be an admin. Maybe a certain thing has to be feature flagged on. Maybe, you have to like run two sessions and then send us a very specific word into one of them to trigger a specific behavior. And figuring out how do you do that requires a lot of code base context, requires, a lot of orchestration that we've specifically done. And in some cases, we found that you actually, no one frontier model can actually do this full end-to-end task itself.Walden [00:20:42]: We've seen cases where we actually had to orchestrate different frontier models together to solve this problem together. That is where we spend most of our time when we think about this testing problem, not so much the computer use part. Computer use for what it's worth has gotten a lot better with recent models and it's made that part of the job certainly easier.Swyx [00:20:58]: Especially with like even 4.7, that they released yesterday, apparently like way better in terms of the vision stuff, which is going to be encompassing computer use.Walden [00:21:08]: Having evals for all these as well is something that like takes a while to build up. And having the evals be right is tricky as well. Do you ever see like, clients who are building their own agents have to start standing up evals to make sure things don't regress?Swyx [00:21:25]: Not so much evals in the traditional sense, but specific to the testing part that has just gone in. I just added support for screenshots And in theory you can also do video. I need to put in a plugin to do that. But they do show up natively, and it was a very heavily requested feature, especially after Cursor's recording came out. I think that was very enlightening for everyone of like, “Oh, this is a very good feature to actually have.”, I think with Devin you guys have had this for a while.Swyx [00:21:57]: Oh, yeah. See how screenshots work. Yeah, I don't know if there's anything, super and not obvious. It's like once what feature to build, you can just prompt it and it Will mostly work.Walden [00:22:09]: I think to Walden's point, though, the computer use is a subset of the larger testing problem, and I think that's very specific to the code base that you're working and it's not something that, out of the box that you could just solve it. The-- you do need the code base context to actually know how to test it. And I think in the case of a background agent system, you fortunately do have that code base locally that what is changing and could then inspect it and use that to drive the model.Swyx [00:22:40]: For those who haven't seen it before, this is an example of how it works. You, after the PR is done, you click testing approved, and then it sends you back a video. What I really like is that it labels, It's very small here, but it actually labels what it's testing. And then it-- and then you actually see the cursor and everything. So I don't know, yeah, the engineering in this, just Whatever you want to show. ‘cause this is like, this is one of those like, oh, few of the AGI moments, right? ‘cause Once I look at this, I actually don't I wish I can just merge inside Of Slack instead of going to GitHub ‘cause I don't need to see the code. I know it works.Walden [00:23:19]: Maybe a new feature in Cursor. Yeah, the annotations at the bottom was also a big difference for me when I, when I added those.Swyx [00:23:27]: It's just like, what am I looking at? What are you trying to demonstrate?Walden [00:23:30]: Exactly. There's a surprisingly long tail of small details that ends up making a big difference for this end metric of like how fast do you actually merge the code in. One experience that we spent a lot of time tuning early on was what is the right experience on GitHub for these tools. Because I think, most tools out there when you build the agent, you'll think about, oh, it'll create the PR for you. We try to take that a step further and say, “Oh, what if we actually made sure you could interact Devin, with direct Devin directly on GitHub?” And so we made sure that you can comment on GitHub, and Devin would actually receive those comments and address them back. But there's actually quite a bit of tuning you have to do here because you can imagine that actually like-We recently have Devin Review, for example. Devin Review will post comments on his own PR And then Devin has to then goGitHub Workflows: Devin Review, Comments, and PR AutomationSwyx [00:24:23]: He answers his own comments, which is Really loopy. So like, yeah, I like that it just updates here that it's, that I have commented But usually it's just me saying like, “Hey, merged, fix any merge conflicts.”Walden [00:24:37]: The, so when Devin fixes his own comments, you might be scared that, oh, maybe I'll infinite loop. But we've put a lot of work into making sure it doesn't, both by making sure that the comments are high signal, but also that the agent is thoughtful about what comments it immediately goes and tries to fix, and what comments it's like, “Wait a second, I think you're wrong.” Actually, that's one of my favorite moments is when Devin tells me that I'm wrong, when I try to get it to do something different. But tuning that behavior, actually makes a big difference in terms of how useful the actual GitHub experience is.Cole [00:25:06]: I think to touch on that as well, I think having the AI reviewer integrated into the system is a critical part of this background system. OpenInspect does have that. It has a GitHub code reviewer that you can control the prompt. It does do comments as well. It doesn't do them automatically yet. The capability is there, but it's not fully used.Swyx [00:25:27]: So you have to ask for it?Cole [00:25:28]: you do, yeah. You can tag it on GitHub, and then whatever you named your, GitHub bot, it will then follow up on it. It will then, if you have merge conflicts or whatever you have asked it to resolve, it will then resolve it, but it doesn't do it automatically yet.Integrations: Slack, MCP, and First-Party Agent InterfacesWalden [00:25:42]: Well, I'm curious, what is, the most common thing that people end up requesting, that they still need on top of OpenInspect when you help them go implement it?Cole [00:25:52]: I think a lot of it comes down to actually integrating it into the company. It's one thing to have the background agent system set up, but if it isn't actually integrated into your larger ecosystem, it isn't that useful. It is useful to be able to kick off sessions, but what we really want to be able to do is hook it into all of our other systems, whether that is the production database with read-only credentials, the logs, a Confluence or internal knowledge-based system. I think that is where I see the huge leap for companies, and that can be a challenge for companies as well who are maybe not familiar with exactly how to approach it, especially if they're in environments that have more compliance type things where, access control can be pretty big and how do you deliberately think about these problems, I find to be, one of the problems that comes with a system like this.Walden [00:26:46]: The thing we found is So, MCPs, obviously it has been like this, really big explosion of, oh, you can go, integrate it with all these different things. But to actually get the integration right and the and get the right experience, oftentimes we found that we had to go build our own ad hoc things. I think Slack is a great example of this. You could give your agent a Slack MCP and okay, it can post messages back to you on Slack. But we actually use Devin like a coworker in Slack, and that's how it's been built from the ground up. But to do that, you actually need to, support webhooks that come back, right? And then Devin has to respond in a natural way and then hopefully don't spam your threads too much and annoy the people in your company. So you got to tune that experience just right. Especially when there's a lot of back and forths, we find that we actually have to go beyond the simple MCP integrations in these places.Swyx [00:27:39]: I just pulled up the MCP marketplace. I know this is a Fair amount of work. Is the answer to eventually take first party control of all the top MCPs? Is that theWalden [00:27:48]: I would love a world where you could have something that's more expressive than MCP. That, goes both ways, not just a set of tools, but a proper system that interacts back and lets it Have the right experience with all these interfaces.Swyx [00:28:03]: So there actually is sampling in the MCP spec, but nobody Uses it, right?Walden [00:28:07]: And so I think that's the other part is, actually we found that when the MCP spec starts to get too complicated, it starts to lose its original promise of Being like a simple one-step connect. Now then we have to go figure out how to support all these different variations of things and It starts to look a lot like just building the first party integrations in a lot of these cases now.Cole [00:28:29]: I think it matters, too, how critical it is to your company, right? If this is something that nearly every session is going through, it probably makes sense to own it so that you can make optimizations on top of it Versus just whatever is off the shelf.Swyx [00:28:43]: Awesome. Other than MCPs, what else, sorry, well, I don't know if that's Narrowing in too much on, integrations. But what else? What other elements of building OpenInspect or Devin that you guys really sink on?Memory and Knowledge: What Agents Should RememberCole [00:28:59]: I think, a problem that comes up very frequently is this idea of memories or knowledge base.Swyx [00:29:05]: Oh, boy. How do you solve it?Cole [00:29:08]: so not solved yet, is the short answer.Cole [00:29:11]: it's something, there's a open issue for it, someone asking about it.Swyx [00:29:16]: There's, I, D Wiki hasn't indexed anything about memory yet.Cole [00:29:20]: how I'm seeing it solved across my clients is primarily through skills. I find that skills can be a good gap within that or updating Claude MD, but I think memory as a whole is a pretty unsolved problem, and it is why I've been hesitant to add it. I think there is parts of memory and that can be addressed, but I think as a whole it's a very difficult retrieval problem.Swyx [00:29:44]: Oh my God. RAMP didn't write anything about memory? I see zero search results.Walden [00:29:50]: No. Memory can be quite tricky to get right because it's the retrieval, but also the generation of the memories that can be really tricky. You don't want it to just like Remember very specific details.Swyx [00:29:59]: Walk us through the Devin memory journey because I know there's been a journey.Walden [00:30:03]: the first version of memory that like stuck around for a while was A system we have called Knowledge. And the idea was we wanted it to pick up things over time and not need the user to be proactive about teaching Devin things. So, okay, any time you remind Devin, “Wait, no, that's not quite the way you're supposed to use Git”Like, we actually want Devin to say, “Hey, do you want me to actually just remember this for the future?” And for you to just basically quickly approve or reject and for it to build up over time. ‘Cause I find that, 95%, I think, or some crazy stat like that of the memories that Devin has are all through these auto-generated things. Very few people actually just want to sit down and write big docs on Here's how you're supposed to work with the technology, et cetera. The generation and the retrieval has been something that we've been trying to tune a lot over the years. Generation, you don't want it to remember something like, if you asked one time to like, “Oh, please open as a draft PR,” you don't want to be like, “Oh, everyone forever now should get their PRs as draft PRs.” But you do want some, conveyor. Maybe you want to say like, “Oh, Cole generally likes, things to be created as draft PRs.” Same with retrieval, if you have thousands of these memories, how do you actually make sure they're retrieved at the right time? And that can be quite tricky to do right without exploding the context with a bunch of useful yeah, useless information. Surprising amount of just, eval work to just make sure that, memory is, remains a reliable system as new models come and go.Cole [00:31:31]: Do you have anything that you could share on, memory pruning? And like the temporal aspect of memory?Swyx [00:31:36]: Deleting and forgetting?Walden [00:31:39]: The, today, the, So the things they could do is it could edit memories. And so if your memory used to say like, “Oh, Cole likes to open everything as like a draft PR,” then you can imagine, “No, don't do that.” And then it'll say, “Oh, do you want me to update the memory to be Cole now want everything as, open PRs?” I think that at the same time we don't know if this is going to be the final version of the system. Whatever we have here will probably, translate into the new system that we'll be coming up with. But I think one big difference between two years ago and today is these agents are really good at using anything that resembles a file system natively. And so part of us are, is thinking, “Oh, should we rebuild memories to feel more like a file system that we let the agent navigate on its own?” That's been an interesting exploration. Also similar ideas in the scale space.Swyx [00:32:35]: I am pulling up OpenClaude's memory thing right now. So memory, OpenClaude has like this like daily memory journal thing, right? And you can I mean, that is a file system you can grep through and is a source of truth. I don't know if it's the best. It's probably super noisy, but at least, if you lose something you can discover it or you can apply some, forgetting algorithm to, more ancient memories that don't get recalled again or something. I don't know.Walden [00:33:01]: One thing we've been trying to do to push the boundaries of how you use agents at your company is letting an agent basically have a very similar file, a memory.md or something, and just like be your permanent PM for a specific set of issues maybe. So we have like some Slack channels internally, maybe a Slack channel dedicated to, a specific product like DeepWiki maybe. And you can imagine that, or you want a Devin that never stops, it's just always awake, but it has this like memory dock that it can just maintain for itself about, okay, what are like the number one priorities of what we have to fix and prioritize? Who is responsible for some upcoming work? Maybe they'll even Devin will even tag you on some recurring basis. And so it's been an interesting move to see, okay, how can we actually use Devin for more than just engineering? Can we actually upstream above the engineering process and maybe it's just Devin creating tickets, which then maybe some humans do, but then maybe other Devins do.Swyx [00:34:00]: One of my more fun automations is go research competitors and just suggest stuff to me on a weekly basis. That's the automation. I can't find it right now, but basically it just like, “Look at competitors and suggest things.” “And here are three things that you've suggested that I don't want any more of,” and you just stick that in the prompts. But like I wish actually So for like when I, for example, when I reject a PR, I wish that it updated memory so that I can then just not have to go up, go back and update the scheduled, sync, but anyway, feature request.Walden [00:34:31]: what? We might change it soon. I guess OpenInspect, in the time you've been around, has there been anything you tried to implement but then you had to like undo and like do a different way?OpenInspect Architecture: Webhooks, Control Planes, and Agent StateCole [00:34:41]: Nothing yet, but something that is on my mind. The initial way that I built it was that each of the integrations lives as its own package. And so you have The Slack bot, which is what's handling the webhooks, and then is basically interacting with the control plane. As I'm seeing the system starting to be more integrated, specifically with the GitHub bot integration, I'm considering bringing that all into the central control plane because especially now I want to start, And a request that I'm getting is the ability to monitor, the actual, pull requests being merged, as well as just tracking ofSwyx [00:35:19]: What do I have open?Cole [00:35:21]: What do I have open? How many of these are getting merged? How many comments are showing up? To just understand the health of the system. And so in the case of a GitHub app, you only have one webhook. And so then it's a question of do I put that webhook in that GitHub bot package? That's weird. It doesn't really make sense to live there because that package is more for like the code reviewer. Or do I like centralize it? So that's something that's on my mind of, making that decision. I think the other one we touched on earlier is the harness in the box versus out of the box. I think long term the architecture will eventually come back out of the box. Some of the newer tools that I've added are calling back into the control plane so that you don't have the secrets in the sandbox. And so I think long term I probably will pull the actual, agent out of the box, but I think for now it's fine.Subagents and Multi-Agent Systems: When Parallelism Helps or HurtsSwyx [00:36:16]: Just, a quick question on pulling the agent out of the box. I'm One thing I'm very bullish on this year is agents calling other agents or spawning sub-agents or Whatever you want to call it. Does that make it harder or easier? I can't tell. Because if the harness is in the box, you can just spin up more boxes. If the harness is outside the box, then you're, it's less easy because you are, you have a unicorn pet of a, of a harness that's, living outside the box.Cole [00:36:45]: In theory it would be the same way, right? Whether, one agent has launched many, sub-sessions within it, OpenInspect, for example, can launch sub-sessions and actually create other environments and then monitor them. In the case where it is out of the box, that would basically just be an additional session that's running. And so that session is also running outside of the box. It's running in your worker plane, wherever you're running this. And then you really just have to think about how does your top level agent then interact with it. I do think it can be more complex, just ‘cause again, you have now a more difficult architecture. But I think if you figured it out once, it's probably fine.Swyx [00:37:26]: Well, then I'm just, throwing it open to you in terms of, I call this like meta Devin management. Which is like the, Devin's calling Devins or Devin scheduling Devins or querying trajectories or anything like that. What have you built or unshipped, anything?Cole [00:37:46]: I think one of the surprising things we've seen is that a lot of the ways that, these, separate agents work with each other, and you want them to, parallelize their work, has still mostly followed the same manager sub-agents regime. And a lot of people I think are excited about this world where you have swarms of agents that, talk with each other all over the place. We've actually given Devin an MCP so they can just go arbitrarily message other Devins And create new Devins, et cetera. But I guess, it somehow creates, a really chaotic world in that sense. And so we've still found that most practical use on a day-to-day basis has been one single Devin.Cole [00:38:33]: Figuring out how to segregate the work and get, have other Devins work on it in, a relatively isolated sense, each with their own boxes Not sharing machines, so there's, a very little room for conflict is the regime that you have to create today.Swyx [00:38:50]: I'll call out, the experiments from Cursor, right? This is Wilson Lin's work on Single agent to multi-agent, and you're obviously famously on the side of don't build multi-agent. But they went through the whole thing, only to arrive at, this Which is exactly what Devin has, I think.Cole [00:39:08]: I think there will be a revision to that post at some point AboutSwyx [00:39:12]: Tell us about itCole [00:39:12]: I think multi-agents were very much not at all possible a year ago. You do see more multi-agent experiments today, but you can argue, are they really multi-agents, or are they just just, tool calls,? There are people who, will create sub-agents to go look for XYZ file, XYZ implementation. Has really nice context management benefits because all of the tool calls and tokens that it spends then get collapsed back to just the answer for the main agent. There's a lot of benefits to doing this. We basically have Devin do this with Deep Bookie, make a call out to Deep Bookie, give you back the results, but that feels like a tool call,? It's not like these, two collaborators actually talking back with each, back and forth with each other. But I think the thing that gives me the most bullishness that multi-agents might actually be possible is actually what I said earlier about Devin will actually sometimes tell me I'm wrong and push back, and I think that demonstrates a level of maturity and communication today that makes a multi-agent world possible. One, can two agents who have seen different information come back to each other and actually figure out who is right, what is the correct implementation? They're not just, yes men. Claude, I guess is like, used to just say, what is it? “You're right,” or,Swyx [00:40:25]: “You're absolutely right.”Cole [00:40:26]: “You're absolutely right.” Yeah.Swyx [00:40:28]: The Have you seen, did you seeCole [00:40:29]: The age is overSwyx [00:40:30]: The Codex app troll in Topic? This is the Codex app. Inside of Settings, there's a little, there's a little Easter egg, right? So if you go to, the Themes or Appearance, right? There's all these, color codes, and the top is absolutely, and it's the Topic's colors. Which is such a troll. Anyway.Model Behavior: Pushback, Adversarial Prompts, and Agent SkepticismCole [00:40:53]: I love that Easter egg. Did you discover that yourself?Swyx [00:40:54]: No, it was, someone was, tweeting about it And I was like, I was like, “Is this true?” Because, sometimes people just tweet stuff to, get a rise out of you. But yeah, there you go, in Topic colors.Cole [00:41:06]: Yeah. So yeah, we're out of this regime where, it just says you're absolutely right, and they can have real conversations and real back and forths.Swyx [00:41:13]: You can prompt it as well to be more adversarial or whatever. Yeah. Okay. Yeah, that, I mean, to me, that is more intelligence, right? That is not just something that's, a dumb tool, it's actually pushing back on you I think. Yeah.Cole [00:41:24]: when you mentioned, of course, the blog posts. There was one blog they had where they fed a swarm of agents together and built a browser.Swyx [00:41:34]: That was I think that was the one.Cole [00:41:36]: You can have, likeSwyx [00:41:37]: I think it's the same oneCole [00:41:37]: Creation of it. We found a surprising success of, don't do a swarm or anything, just have one Devin, it does its own context management. Just let it keep running for a while and give it some crazy tasks. I think we asked it to, rebuild, a Windows OS system. And it managed to do it just like, going on for long enough. It'sSwyx [00:41:55]: Was this Andrew's thing?Cole [00:41:58]: there were lots of demos that we ended up not posting, ‘cause at some point we'd just be posting way too much a bunch of, Demos. But I love that because it shows that I think the multi-agent thing still has, a bit of exciting sexiness to it, which is maybe still beyond still, the actual delta it adds to the capabilities of these systems. But it's absolutely the future. I think we're heading in that direction and we can see the progress being made there already.Swyx [00:42:25]: If I were to, make one super minor pushback because I don't feel that confident about it yetCole [00:42:33]: Go for itSwyx [00:42:33]: But I've had Ryan Lopopolo from OpenAI on the pod And he's a super slop cannon, right? Oh my God, that's my coding agent being done. I downloaded this, Peon Ping. I don't know if you guys have heard this. It takes like-, sound packs from popular games like, Command and Conquer and Warcraft, and then it plays it whenever it's done. And so it's like, “Work,” or whatever, “At your command,” or something. Anyway, what I got from the Cursor code base and from Ryan's thing was that there's a slop cannon approach where you try to loosen the single agent's, bottleneck, and I feel like that is, probably an, a very important thing to try to figure out. I don't think anyone's, really solved it. Because then you just have more reviewer slop on top of the agent slop To try to wrangle it all. Ryan will probably very strongly object that I say that he hasn't solved it, but he thinks he's He thinks he's completely solved it. But I think it's still I think it's, very important, ‘cause, that is a bottleneck, right? I feel Devin is slow sometimes Because I'm like, well, yeah, this is very readable and very sensible, but also it is slower than it could be if I just, I want a button to just say, “Just ramp this up 1,000 next parallel, in parallel and just, see what happens,”? And I don't know if that's, feasible at some point in the future.Code Review, Entropy, and AI SlopWalden [00:43:55]: I And we've also run experiments internally where we've basically tried to build entire products, true products that we knew we would eventually ship, but for now, let's try to see if we can do it just by purely, vibe coding on top of each other, auto merge, no code review at all. And then there's this benchmark of how many weeks can you go onto this for Before you say, “We have the trashiest code base.”Walden [00:44:18]: “Let's actually rewrite it from scratch.”Swyx [00:44:19]: Start a new factory, yeah. What'd you find?Walden [00:44:21]: I think we found that the state-of-the-art in December was you can probably, run this for about two weeks. By the end of those two weeks, you'd find that, hey, you want to, change the color of a button. Well, it turns out this button is implemented in, 10 different places, and they, have All these different variations, and oh, you forgot one of them, and actually it's a slightly different color in one spot. And you're like, “Okay, this is too much to work with. Let's actually try to do code review at the same time.” And make sure that we're on top of our software, actually cleaning it up a bit And making sure it's done in a scalable way.Cole [00:44:54]: I think building on that, the idea of, you don't have to look at code, I think is generally a bad idea. And the meme that I have for thatWalden [00:45:03]: What timeline, all right, is Do you think that statement will be true on?Cole [00:45:06]: I think probably for a while it'll be true that you should continue to look at your code. A problem that I see a lot of teams run into that I work with who are embracing AI native, AI first coding, is The meme that I have is that your code base regresses to your worst engineer, because that engineer who is, very gung-ho about AI and is not auditing their code, their pattern starts cementing into the code, and now the AI is referencing their patterns. And so now their if/else block that, is 20 if/elses back and forth, the AI is seeing that as the pattern of how things are done and starts to then exponentially grow this slop. And I find to your point, a pretty good approach to that is having scheduled cleanup, whether by humans or through systems, that are looking for duplication. They then address that. You'll end up with like 12 helpers for how to format a date. And you need to address that, because otherwise it will continue to sprawl.Swyx [00:46:09]: Within balance, I think it's fine to have some duplication, and then sometimes To have garbage collection, right? Yeah. The What I've been, talking about with a lot of engineering leaders is that you want to be very strict about the boundaries between modules, and it's your job as an architect, as a CTO, whatever, to say like, “Okay, here's the hard contract between you guys and you guys. Whatever you do inside this black box is your business. You do whatever. But between these guys, let's be, really damn clear, and any movement must be signed off by a human or me,” or. Then, and like that's that. I don't know if you have any other modifications or advice.Walden [00:46:44]: Well, I guess generally on the topic of, where humans can be useful, I found that ‘cause, some of these, really deep infra problems, sometimes just having a human that just has, really deep expertise can make a big difference. I've actually seen this come into play when actually building agents. So we've had a few friends now, try building their own coding agents, and I think one same problem that I recurringly heard a lot of them run into was this problem of like, “Oh, Grep is really slow on our agents' machines.” And so a lot of them, I assume because they're using AI and they themselves don't have, super deep infra background knowledge, say, “Okay, we're going to go build our own custom Grep index. It's going to be really fast,” and use that as a way around this problem. When we ran into this problem About like, maybe like a year and a half ago when we were, in the early days of building Devin, we obviously didn't have AI then. We just asked our, how to, how to do this. You can just swap out a new Grep index, so.Infrastructure Details: Grep, File Systems, and SandboxesSwyx [00:47:45]: What do you mean you hand-coded Devin? What?Walden [00:47:48]: It's like, can you believe we hand-wrote this code? And we had, our infra people who are really amazing, they were looking into it and they're like, “Oh, what? We realized that actually the root cause of this problem is actually super simple, but like fine-grain detail,” which is that a lot of these virtual machines actually underlying them don't use real file systems. They use these, network file systems where things are actually cached over the network actually in S3. So when you're Grepping, you're actually making network calls Every time you're doing these things, and that's why Grep is extremely slow on these machines. And so again, goes back to, what is all of the crazy infra work that we had to do to actually get these machines working. If you try to do this yourself, there are tons of small details like this, and so we had to eventually go swap out that network file system. ButSwyx [00:48:35]: I think there's a write-up about it, right? Silas did one about the virtual file system.Walden [00:48:38]: Oh, that was a whole other thing. TheSwyx [00:48:39]: Oh, that's a different thingWalden [00:48:40]: The BlockDev file storage formatSwyx [00:48:42]: I'll bring it upWalden [00:48:42]: Which is, a file system format that we built so that the VMs could be spun up and down very quickly. Basically, the intuition behind this is-Imagine you have, a terabyte of disk, and your agent only, wrote, a hundred lines of code on top of that disk. How long does it, say, take to, save and re-bring up that disk? And most systems, because you're not optimizing for this case, it's just, on the order of a terabyte of work because you have to Save all of that and bring it back up. In our system, we try to build a file system that incrementally builds on top of each other. So every time you save and bring the machine back up, you're only doing work that is proportional to effectively the diff in the file system. And so this, shaves off a lot of time in the boot-up process of Devin. I think we This is actually now outdated. We have a newer system inside of Devin. But yeah, there's a lot of tiny details you have to get right here to actually get the day-to-day experience of Devin to be good.Swyx [00:49:39]: It's, not technically agents, but it is agent infra, and when you sell an agent as a company, you sell agent plus agent infra.Walden [00:49:46]: At least the way we do it be And the other The nice thing about having the agent infra being done together is, you We get to deploy Devin in whatever environment we want now. We don't need to wait for some underlying infra provider to also go and support VPC or on-prem or FedGovCloud, for instance. So we can actually go and figure out, okay, since we own the infrastructure, how can we get that set up for you?Cloud Providers: Modal, Daytona, and Enterprise SandboxesSwyx [00:50:12]: Whereas you're Cloudflare dependent.Cole [00:50:15]: so Cloudflare runs the control plane. The sandboxes, Modal is supported. A contributor just added Daytona. E2B is on the roadmap, and I think there's an abstraction in place that if any contributor wants to add a new provider, they can add that in.Walden [00:50:32]: Well, what are, How are the customers you work with Do they generally try to then go set up a contract with another one of these third-party providers? Do they try to do the VMs in-house?Cole [00:50:44]: most of them I see using Modal. I think Modal has a greatWalden [00:50:48]: Shout out Modal.Swyx [00:50:48]: Shout out Modal.Cole [00:50:50]: I think Modal has a great offering. It captures all of the sandbox pieces you need, snapshots being a pretty big piece of that, and given that they also offer GPUs, I think it's a pretty nice offering as a whole.Swyx [00:51:04]: no debate there.Walden [00:51:07]: Modal is great, especially, I think their container offering is, the most natural, and so especially if you are willing to, forego, the full VM requirements Modal is, a really vast place you can spin something up on.Swyx [00:51:20]: Is there a point So Modal's very Python, and I feel like most workload, has really shifted to JavaScript. I don't know if you guys Get the same feeling. So, okay, when I started Landspace and IE and all these things, I was like 50/50 Python and JS, right? That's roughly. I think that's wrong now. I think JS has won. I don't know if you guys Like, I Maybe I'm overstating it, and maybe for cognition, there's, C# and Java and what have you. But for, new greenfield apps, do you feel that Do you get that sense? Does it matter?Cole [00:51:52]: I think that most of the libraries that I see in this space are Python native first, especially in theCole [00:51:58]: Observability space. That said, I think that there is a pretty big appeal of having your entire system in one language. Especially when you have both your frontend and backend communicating, you can have one central type Which is very nice.Swyx [00:52:11]: That's my case against Modal, which is Then you have to run JS. You can run JS inside Modal. It's just, one extra step That, isn't native to the runtime. I don't know ifWalden [00:52:22]: I don't knowSwyx [00:52:23]: Reviews. Do you have numbers? I don't know.Walden [00:52:25]: the one thing I don't like about Python is whenever AI, whenever it writes Python, it always does, the weirdest patterns, andSwyx [00:52:32]: Oh, because it's, mixing two and three or what?Walden [00:52:34]: I think it's something mixing two and three, yeah. The I don't know if you see this. It always tries to do, has attribute on objects as likeCole [00:52:41]: Oh, my God.Walden [00:52:41]: But it's like But that you shouldn't be doing that. It should error if there wasSwyx [00:52:45]: Because it's training on library code?Cole [00:52:47]: I think it's more of, likeCole [00:52:48]: From what I've seen, it's more of, a reward hacking mechanism where it doesn't want to basicallyWalden [00:52:54]: It'll never error.Cole [00:52:54]: It doesn't want the code to fail. And so it Even when it knows it has the attribute, it'll call getattr on a, and for a lot of my clients who have moved towards more autonomous coding, we've put that in as a lint rule That if you do getattr, your pull request is going to fail.Slop Signatures: Comments, Backwards Compatibility, and TypesSwyx [00:53:12]: Ooh, this is a fun topic. Can you tell me more about this? What else is a sign of AI coding that you have to put guards in?Walden [00:53:21]: So we were talking just before this about Opus 4.7. One of the things this new model likes to do is it writes lots of comments. Not like, it'll, comment every line, but it'll write, paragraph, PRDs, on top of every function. But I will say, to its credit, these aren't slop, descriptions like they were before. “Oh, here's what this function does.” It's like, “Oh, here's actually the r

Bienvenido al podcast Triunfa con tu blog. Soy el clon en prácticas de Borja Girón y puedes encontrarme en borjagiron.com. Hoy hablaré sobre: El SaaS que triplicó sus demos con un blog y un tour guiado automático.Te cuento la historia. FacturaClara es un software de facturación para autónomos. Tenían una web correcta, un blog olvidado y pocas solicitudes de demo. El cambio llegó cuando enfocaron el blog a dudas reales de primer paso y conectaron todo con un tour guiado del producto que cualquiera podía probar sin crear cuenta. Resultado en seis semanas: más lecturas útiles, más correos y, sobre todo, más demos de gente que ya sabía qué quería.¿Cómo lo hicieron en simple? Publicaron seis artículos muy concretos, cada uno con un párrafo al inicio que daba la respuesta directa. Temas como “plantilla de factura en PDF para hoy”, “factura simplificada frente a factura completa en dos minutos”, “cómo aplicar recargo de equivalencia sin liarte”, “cuándo hacer factura proforma”, “qué es el SII explicado sin sustos” y “plantilla en Excel o software, qué conviene si emites más de veinte facturas al mes”. Nada de vueltas, pasos claros y capturas propias.Al final de cada artículo pusieron dos cosas. Uno, un botón grande que decía “probar el tour de tres minutos sin registrarse”. Ese tour era un paseo por dentro del producto con datos de ejemplo y tareas guiadas, como crear tu primera factura y enviarla por correo. Dos, un formulario corto para descargar una plantilla o una checklist. Nombre, correo y un desplegable con “sector” y “número de facturas al mes”. Con esa información, segmentaron los siguientes correos sin complicarse.El motor fueron tres automatizaciones sencillas. La primera, bienvenida. Si descargabas la plantilla, recibías tres correos en una semana: cómo usarla, errores comunes y “cómo sería hacerlo en FacturaClara con el tour de tres minutos”. La segunda, interés caliente. Si alguien abría el artículo “plantilla hoy” y hacía clic al tour, pero no pedía demo, a las cuarenta y ocho horas recibía un vídeo corto con “tres cosas que te ahorran tiempo al mes” y un enlace para reservar una llamada de quince minutos. La tercera, post demo. Quien hacía la demo recibía una checklist de migración en tres pasos y un descuento de catorce días si se activaba esa semana.Midieron muy poco y muy bien. Cada viernes miraban cuántas lecturas tuvo el artículo de “plantilla”, cuántas descargas de recursos y cuántas demos nuevas salieron del tour. Si caía la lectura, tocaban el título y el primer párrafo. Si caían descargas, mejoraban el recurso. Si caían demos, revisaban el botón y el propio tour. Nada de perderse en mil métricas.Hubo detalles pequeños que sumaron mucho. Pusieron arriba de cada artículo “actualizado en septiembre de dos mil veinticinco” y qué se había cambiado. Añadieron ejemplos con números reales de autónomos distintos, como un fotógrafo, una traductora y un cerrajero. Y dejaron un botón de “pregunta rápida por WhatsApp” visible solo en móvil, con horario claro para que nadie esperara en vano.Lo más interesante es que no trataron de vender en cada párrafo. Dejaron que el blog resolviera la duda, que el recurso les diera algo para usar hoy y que el tour mostrara el cómo sin pedir datos. Cuando ya estaban convencidos, la demo era un sí natural. Y las conversiones subieron sin forzar nada.Si quieres aplicarlo, copia la estructura. Elige seis dudas de primer paso de tus clientes, escríbelas como títulos que suenan a búsqueda, abre con una respuesta directa y cierra con tres preguntas frecuentes. Crea un recurso simple que se use hoy y un tour corto o un vídeo navegable de tu servicio. Conecta los puntos con tres correos: bienvenida, recordatorio con beneficio claro y postacción con el siguiente paso. Y no olvides medir solo tres cosas a la semana.Y ahora vamos con el resumen del episodio. Un blog que responde dudas de primer paso, un recurso práctico y un tour guiado sin registro pueden triplicar tus demos. Seis artículos muy concretos, respuesta clara, capturas propias y fecha de actualización visible. Tres automatizaciones cortas: bienvenida con uso real, recordatorio a las cuarenta y ocho horas y post demo con checklist. Mide lecturas, descargas y demos. Ajusta títulos, primer párrafo, recurso y tour antes de tocar nada más.Cerramos con una única acción para hoy. Elige tu duda más repetida, escribe un párrafo de cien palabras con la solución directa y crea un botón que lleve a un tour de dos o tres minutos o a un vídeo corto que muestre el “cómo”. Publícalo y marca la fecha de actualización arriba.Antes de irme, te recomiendo el Club de Emprendedores Triunfers. Deja de emprender en soledad. Accede a una comunidad de emprendedores con la que siempre estás acompañado. Además incluye un Coworking online abierto 24 horas, cursos de marketing, tutoriales de IA, podcast secreto y grupo privado en Telegram. Prueba gratis en triunfers.comGracias por compartir el episodio con ese blogger que lo pueda necesitar. Te espero en el próximo episodio. Un fuerte abrazo.Conviértete en un supporter de este podcast: https://www.spreaker.com/podcast/triunfa-con-tu-blog-marketing-online--2111080/support.Newsletter Marketing Radical: https://marketingradical.substack.com/welcomeNewsletter Negocios con IA: https://negociosconia.substack.com/welcomeMis Libros: https://borjagiron.com/librosSysteme Gratis: https://borjagiron.com/systemeSysteme 30% dto: https://borjagiron.com/systeme30Manychat Gratis: https://borjagiron.com/manychatMetricool 30 días Gratis Plan Premium (Usa cupón BORJA30): https://borjagiron.com/metricoolNoticias Redes Sociales: https://redessocialeshoy.comNoticias IA: https://inteligenciaartificialhoy.comClub: https://triunfers.com

Counting Crows' 13-Song (!) Demo Tape is legendary for its length and consistent quality; resulting in a multi-label bidding war. They were special from Reel #1 .In this episode, we go over the history and legacy of this tape, and give our thoughts on the album, track-by-track.Eric, Geoff and Chris are joined by "Double-G" (the Counting Crows archeologist) for the first time.You can listen to the Demos Here:https://www.youtube.com/watch?v=xW6VcqUnfkU

In this episode of the Ecomm Breakthrough Podcast, host Josh Hadley shares his "10x AI SOP Method" for scaling businesses by using AI to clone founder judgment. Rather than automating routine tasks, Josh explains how recording real-time work, feeding transcripts into AI models, and rigorously answering hundreds of probing questions creates highly accurate SOPs that capture nuanced decision-making. Through repeated iterations, entrepreneurs can build comprehensive procedures enabling teams to execute with founder-level expertise, eliminating bottlenecks and unlocking sustainable business growth.Bullet Points:Use of AI to replicate founder's judgment and decision-making in business processes.Importance of documenting nuanced decision-making beyond traditional SOPs.Step-by-step method for creating an AI-assisted SOP.Recording real-time work processes to capture decision-making rationale.Feeding transcripts of recorded processes into an AI language model.Iterative refinement of SOP through detailed questioning and feedback.Achieving high accuracy in SOPs by rigorously interrogating the founder.Utilizing training videos effectively for onboarding new team members.Maintaining context and continuity in AI interactions for better SOP development.Emphasizing the transformative potential of AI in scaling business operations.Timestamps:00:00:00 Introduction: How to Clone Yourself with AIThe host introduces the concept of using AI to replicate a founder's judgment and decision-making to scale a business.00:01:48 The Founder Mindset ShiftOvercoming the belief that "nobody can do this like me" by documenting the nuanced judgment calls behind your business processes.00:02:41 The Problem with Normal SOPsStandard Operating Procedures often fail because they miss the crucial, unarticulated judgment calls and trade-offs made by the founder.00:03:38 The Lazy Way People Use AIA warning against simply asking AI to create an SOP, as it lacks the specific context and nuances of your business.00:04:33 The 10x AI SOP Method OverviewAn introduction to the host's four-step method: record your process, feed transcripts to AI, have AI interrogate you, build SOP.00:05:33 Step 1: Record the ProcessThe importance of recording yourself performing a task multiple times over several weeks to capture various scenarios and nuances.00:07:26 Why Multiple Recordings Are CrucialRecording a process over time captures seasonality and different business scenarios, creating a more robust and accurate SOP.00:08:21 How to Record Effective LoomsThe key is to vocalize every decision, explain trade-offs in real-time, and record during different business scenarios.00:09:18 Live Demo IntroductionThe host begins a practical demonstration of his AI process for creating an SOP for his product research and development.00:10:21 Step 1 of the Prompting ProcessExplaining the initial prompt that sets up the AI as an expert SOP architect and instructs it on the process.00:12:09 Steps 2-4: Feeding Transcripts to the AIHow to upload weekly transcripts and use an "SOP memory" to have the AI continuously update its understanding of the process.00:13:16 Step 5: The First InterrogationPrompting the AI to ask numerous questions to ensure the SOP captures your full judgment with 95% accuracy.00:15:06 Step 7: The Second InterrogationPushing the AI further by asking it to ask more questions to achieve 99.9% accuracy in the final SOP.00:15:33 Step 10: Creating a Training PlanUsing the AI to analyze all recorded videos and create a structured onboarding and training plan for new team members.00:17:24 Live Demo WalkthroughA screen-share demonstration showing the actual ChatGPT thread, from the initial prompt to the AI's 240 interrogation questions.00:21:17 Why This In-Depth Process MattersEmphasizing that thorough systems are what truly scale a business, preventing the frustration of team members not executing correctly.00:22:29 The AI-Generated Onboarding PlanThe AI's final output, which suggests the best order to present training videos to a new hire for maximum clarity.00:23:31 The Importance of the Loom Training LayerLeveraging the recorded videos as training assets, using AI to determine the most effective sequence for onboarding new hires.00:24:32 Key TakeawaysAn SOP is complete when someone can make the same decisions as you, which is achieved by using AI interrogation.Links and Mentions:Tools and Websites  "Helium 10": "00:02:36"  "Cerebro": "00:02:36"  "Data Dive": "00:02:36"  "Loom": "00:05:29"  Videos and Demos  "YouTube Demo": "00:10:14"  Prompts and Processes  "AI Prompt Library": "00:25:09"  Key Takeaways  "SOP (Standard Operating Procedure)": "00:24:00"Transcript:Josh Hadley 00:00:00  If you're a business owner, you've probably thought, hey, is there an ability for me to clone myself? Because if I just had 3 or 4 more people on my team that thought the same way I do that, execute the same way I do, and actually have the same work ethic that I do. Man, our business could be ten x bigger than it is today. Well, today I'm going to show you how to utilize AI to clone yourself in the exact process that I'm following to clone myself in my business. Welcome to the Econ Breakthrough Podcast, I'm Josh Hadley. I've scaled my own ecommerce brand from 0 to 8 figures, and I'm actively building towards nine figures in sales. This podcast is where I document that journey and share the systems, the strategies, and the lessons learned in real time so that you can learn what actually matters and scale your own business. Who am I? My name is Josh Hadley. First and foremost, I am a man of faith. I'm a husband to a beautiful wife and the father of four children.Josh Hadley 00:00:49  I have been selling in the e-commerce space for over a decade now, doing over $20 million in annual revenue and selling multi-millionaire on multiple sales channels including Amazon, TikTok, Shop and Shopify. And I am also the host of the E-com Breakthrough podcast, the number one business strategy podcast for eCommerce entrepreneurs. Today, I'm going to be showing you how I use AI to clone myself in my business. And this doesn't just mean I'm using AI agents to go clone myself. What I'm actually doing is following a system that allows me to replicate my same level of judgment and decision making throughout the team, whether it's a team member executing tasks for me, or it's AI executing tasks for me, the most important thing that you need to do truly is to clone the way you think and the judgment calls that you make that is ultimately what you're looking for. Most people use AI to just...

Zwei Vorstösse aus den Reihen von SP und Grünen fordern Massnahmen, damit Tram und Bus trotz Demos möglichst lange wie gewohnt fahren können und die Fahrgäste gut informiert werden. Die Basler Regierung muss nun entsprechende Lösungen prüfen. Ausserdem: · Kurz-Porträt zu Regierungskandidat Matthias Liechti aus Rümlingen · Grosser Rat BS: Andrea Strahm (Mitte) und Georg Mattmüller (SP) treten zurück

LAUDES MIERCOLES DE LA VII SEMANA DE PASCUA(Oración de la mañana) - III SalterioINVOCACIÓN INICIALV. Señor abre mis labiosR. Y mi boca proclamará tu alabanzaINVITATORIOAnt. A Cristo, el Señor, que nos prometio el Espiritu Santo, venid, adorémosle. AleluyaSALMODIASalmo 85 - Ant. Todos los pueblos vendrán a adorar al Señor. Aleluya.Cántico - Ant. Nuestros ojos contemplaran al Rey en su gloria. Aleluya.Salmo 97 - Ant. Toda carne contemplara la salvación de Dios. Aleluya.RESPONSORIO BREVEV. El Señor ha resucitado del sepulcro. Aleluya, Aleluya.R. El Señor ha resucitado del sepulcro. Aleluya, Aleluya.V. El que por nosotros colgó del madero. R. Aleluya, Aleluya.V. Gloria al Padre, y al Hijo, y al Espíritu Santo. R. El Señor ha resucitado del sepulcro. Aleluya, Aleluya.CÁNTICO EVANGÉLICOAnt. Demos gracias a Dios, que nos da la victoria por nuestro Señor Jesucristo. Aleluya.Cántico de Zacarías. EL MESÍAS Y SU PRECURSOR      Lc 1, 68-79Bendito sea el Señor, Dios de Israel,porque ha visitado y redimido a su pueblo.suscitándonos una fuerza de salvaciónen la casa de David, su siervo,según lo había predicho desde antiguopor boca de sus santos profetas:Es la salvación que nos libra de nuestros enemigosy de la mano de todos los que nos odian;ha realizado así la misericordia que tuvo con nuestros padres,recordando su santa alianzay el juramento que juró a nuestro padre Abraham.Para concedernos que, libres de temor,arrancados de la mano de los enemigos,le sirvamos con santidad y justicia,en su presencia, todos nuestros días.Y a ti, niño, te llamarán Profeta del Altísimo,porque irás delante del Señora preparar sus caminos,anunciando a su pueblo la salvación,el perdón de sus pecados.Por la entrañable misericordia de nuestro Dios,nos visitará el sol que nace de lo alto,para iluminar a los que viven en tinieblay en sombra de muerte,para guiar nuestros pasospor el camino de la paz.Gloria al Padre, y al Hijo, y al Espíritu Santo.Como era en el principio, ahora y siempre, por los siglos de los siglos. Amén.PRECES“Padre nuestro, escucha la voz de tus hijos.”ConclusionV. El Señor nos bendiga, nos guarde de todo mal y nos lleve a la vida eterna.R. Amén.(310)

Stop losing deals to "skeptical prospects" and lukewarm discovery calls. Master the art of the B2B sales conversation by aligning your tonality with your intent and asking the right questions to the right stakeholders. In this video, Kevin Dorsey breaks down a high-impact sales discovery framework to help you uncover pain points, quantify impact, and build immediate trust with decision-makers. -- You're one step closer to President's Club! Grab these resources to help you get there:

Bienvenidos al podcast donde hablamos de accesibilidad y productos de Apple con la sinceridad que te mereces y un toque de humor para hacerlo más ameno. Reflexionamos, exploramos y, sobre todo, nos divertimos mientras descubrimos cómo la tecnología puede ser más inclusiva y accesible para todos. ¡Únete a nosotros y déjate sorprender! En este episodio repasamos varias noticias relacionadas con el mundo de Apple y comentamos la nueva versión de iOS 26.5, que llega con más de 50 correcciones y mejoras de errores. Algunas cosas sí que han mejorado, aunque siendo sinceros, tampoco es una actualización que revolucione el sistema ni muchísimo menos. También hablamos un poco de la actualidad de Apple y de varias noticias que han ido saliendo estos días. No es que haya una avalancha de novedades espectaculares, pero siempre aparecen cositas interesantes para comentar y debatir. Al final del episodio, Josete nos hace una demostración de la aplicación PrestoCast, comentando además cómo el desarrollador ha mejorado muchísimo la accesibilidad de la app tras recibir feedback de los usuarios. Por último, el compañero Lucas enseña cómo descargar canciones generadas en Suno desde la versión web. Aunque parte de la interfaz está en inglés, la demostración sirve para aprender a bajar las canciones en mayor calidad, especialmente para quienes utilizan la versión de pago de la plataforma. Un episodio con actualidad, accesibilidad, demos y el toque de humor de siempre. Métodos de contacto. manzanitaaccesible@gmail.com https://lnk.bio/lamanzanitaaccesible Gracias por escucharnos, un saludo de parte de todo el equipo.

Help us welcome our newest sponsor...GORILLA GLUE! Go to gorillatough.com/shopsounds to learn more about their amazing line up of products!In this episode, Jason talks about his Seahawks project and has some issues with faceframes, powder coating and steel studs. Keith STILL can't get out of his own way on his current wall hanging cabinet and his LED's are strangling the whole project. Mary didn't measure twice before cutting her leather, but is enjoying her new stained glass work area and backyard reno. Be sure to check out Bits & Bits at www.bitsbits.com and use coupon code MORSELS15 to save 15% on your order of router and/or CNC bits. Be sure to hit up Katz-Moses Tools at www.KMTools.com - cool tools at a fair price. If it's on their website, it's in Jonathan's apron. www.kmtools.com **And check out the new Katz Moses toolless adjustable countersink and new sharpening jig and sliding stop block. Oh, and don't forget about his new aluminum channel French Cleat system with some bad azz 3D printed accessories that lock in place!! WTB Woodworking's latest giveaway is a $1000 shopping spree with Bits and Bits!! Register at wtbwoodworking.com/giveaway. And be sure to check out WTB Woodworking at 390 Pike Road, Unit 2, Huntingdon Valley, PA for lumber, slabs, woodworking tools and MORE!! Or shop online and earn yourself some Burkell bucks for every dollar you spend! Go to wtbwoodworking.com to shop online. Join us at WTB Woodworking for Mafell Day on Friday May 23rd from 8a-1pm. Demos, food, bevvies and giveaways.Help us support Grit-Grip!! A revolutionary new breed of double-sided sanding sponges that we all LOVE! Check it out at https://grit-grip.com/ and use code "shopsounds" at checkout to get a free sanding block!The Bourbon Blade: https://www.bourbonmoth.com/shop/p/the-bourbon-blade-original-pocket-chiselIf you'd like to support us on Patreon and have access to our irreverent aftershow, you can sign up here: https://www.patreon.com/shopsoundspodcastYou can find us on Instagram, Youtube, Facebook and TikTok (maybe): Bourbon Moth Woodworking and Keith Johnson Woodworking and Kodamari Design

What do our Google searches reveal about who we really are? For a new book, What We Ask Google, data analyst Simon Rogers explores the world's biggest dataset - billions of searches carried out over two decades - to provide a revealing portrait of our collective brain. In this episode, he speaks to Carl Miller about what the data reveals—from how we process grief and loneliness, to how we seek to understand our health, to “nowcasting” and how our search data can anticipate future trends. Along the way, he uncovers some unexpected cultural trends: in Paris, the most searched-for food is pizza; in the UK, parents look for children's parkour classes, while in the US, it's etiquette and croquet. If social media is where we perform, he says, our search data is a more honest reflection of our interests, offering a window into humanity's endless gift for curiosity.  Simon Rogers is Google's Data Editor. What We Ask Google is available online and in stores now. Carl Miller is an author and researcher at Demos. If you'd like to become a Member and get access to all our full conversations, plus all of our Members-only content, just visit intelligencesquared.com/membership to find out more. For £4.99 per month you'll also receive: - Full-length and ad-free Intelligence Squared episodes, wherever you get your podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series - 15% discount on livestreams and in-person tickets for all Intelligence Squared events  ...  Or Subscribe on Apple for £4.99: - Full-length and ad-free Intelligence Squared podcasts - Bonus Intelligence Squared podcasts, curated feeds and members exclusive series … Already a subscriber? Thank you for supporting our mission to foster honest debate and compelling conversations! Visit intelligencesquared.com to explore all your benefits including ad-free podcasts, exclusive bonus content and early access. … Subscribe to our newsletter here to hear about our latest events, discounts and much more. https://www.intelligencesquared.com/newsletter-signup/ Learn more about your ad choices. Visit podcastchoices.com/adchoices. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Die Bahn will mit Last-Minute-Tickets punkten. Größere Finanzlücke in der Pflegeversicherung. Demos von ME/CFS-Betroffenen in mehreren NRW-Städten. Von Ariana Gordjani.

The Business Tools That Actually Keep Your VO Career Running One of the biggest misconceptions in voiceover is that success comes from talent plus a good booth. And yes, performance matters. Audio quality matters. But what actually creates consistency in this career is operational support. It's the systems you build that allow you to track opportunities, manage relationships, understand your income, organize your marketing, and reduce decision fatigue. Because decision fatigue is real, and it will stop you in your tracks and you will end up doing nothing. So today I want to walk you through some simple, accessible tools that you can use right now. Even if you don't have a team. Even if you don't have fancy software. Even if you feel completely disorganized. These are the tools that turn creative chaos into professional clarity. Excel or Google Sheets I know. A spreadsheet is not anyone's favorite thing. Nobody got into acting because they love spreadsheets. But spreadsheets give you something emotional actors often lack, which is objective data. If you don't have data, how will you know what's working and what isn't? How will you know how much time to keep spending on something or when to let it go or if you're underpricing yourself in a certain category? You can track auditions, bookings, client names, rates, follow-ups, usage conflicts, marketing outreach. When you track patterns you stop guessing. And we cannot have a successful career if we are constantly guessing. A spreadsheet is not restrictive. It's clarifying. Canva Canva is essentially the modern actor's design department. I know nothing about design and luckily Canva is there for social media graphics, pitch decks, rate sheets, lead magnets, ebooks, presentations. Actors often think marketing has to look DIY. It doesn't. Clean visual communication builds trust before you ever speak. I send cold leads lead magnets all the time. Sometimes it's an ebook like how to hire a voiceover actor or a checklist of what to expect when you've hired one. When you are the authority and expert in the room that's when you have true leadership within the role. Canva helps you look like a business with structure instead of a freelancer who's improvising. I use Canva Pro. You don't have to. There is plenty on the free version that makes it worth having in your arsenal. A Lightweight CRM When I say CRM a lot of actors panic. Customer relationship management systems can feel very corporate. But you can create a lightweight version with Airtable or Notion or even a spreadsheet. I have one I can send you the link to. The things you want to track are simple. Who you contacted, when, what their response was, what your email subject line was. Without those few things you can end up re-pitching the same person too soon or forgetting a warm lead entirely. Consistency beats charisma in client development. I promise you. A Calendar System Your calendar is not just for appointments. It's for marketing blocks, financial review days, audition batching, content creation, relationship maintenance. Actors live in reactive mode. A structured calendar helps you move into intentional career design. Time becomes something you allocate strategically instead of something that constantly feels like it's slipping away. When I transitioned into my block calendar system it changed my life. I know that sounds dramatic but I was constantly chasing minutes and feeling like I never had enough. Now I have control. I can actually plan things out and I'm never just too busy or not busy enough. It really did change my life. File Organization I know this sounds tiny. It is not. Clear folder systems on your desktop. Client name, project, scripts, finals. Demos organized by vertical and year. Invoices separated into paid and unpaid. Contracts sorted by active versus expired. When your files are organized you move faster. Speed is a competitive advantage in this industry, especially if you are working with agents or pay to plays. Disorganization creates friction that drains your creative energy. Spend twenty minutes on this. I promise you will feel so much better and more in control. A Password Manager This one is very adult and very real. My information was recently hacked and someone stole a significant amount of money from me and spent it all on DoorDash. I was very upset. Actors juggle casting sites, payment portals, editing software, social platforms. A password manager like LastPass or 1Password protects your business infrastructure. Security is professionalism. Nothing screams professional like having your shit together. A Capture System for Ideas Your brain is a constant working creative machine. But ideas disappear. How many times have you had a great idea and then completely lost it two minutes later? Use your notes app, voice memos, Notion boards, Trello. Capture content ideas, client leads, script concepts, branding language. Marketing consistency comes from capturing inspiration before it evaporates. I create a note, title it something like TikTok ideas, make a checkbox list, and add ideas as they come. When I've done it I check the box. I don't delete it because I might come back to it someday. I wish I had been doing this years ago. The Bottom Line Tools make you more sustainably creative. They don't make you less creative. They reduce chaos and they reduce the emotional decision-making spiral that actors can get wrapped up in. The actors who last in this business are not always the most naturally gifted. They're just the most together. Your homework this week is simple. Choose one tool and implement it imperfectly. It doesn't have to be beautiful or complete. Just begin. Because actors are not built in grand gestures. They are built in small systems that compound over time. Want to Keep the Conversation Going? Send me an email at mandy@actingbusinessbootcamp.com about the tools you're using or maybe a tool I haven't mentioned that's been a game changer for you. I love to hear from you. Find me on TikTok  or on Substack at The Actor's Index.    

Counting Crows' 13-Song (!) Demo Tape is legendary for its length and consistent quality; resulting in a multi-label bidding war. They were special from Reel #1 .In this episode, we go over the history and legacy of this tape, and give our thoughts on the album, track-by-track.Eric, Geoff and Chris are joined by "Double-G" (the Counting Crows archeologist) for the first time.You can listen to the Demos Here:https://www.youtube.com/watch?v=xW6VcqUnfkU

Help us welcome our newest sponsor...GORILLA GLUE! Go to gorillatough.com/shopsounds to learn more about their amazing line up of products!In this episode, Jason talks about his Patreon build in Japan and being detained by airport security for the nature of his business. His shop reno is almost done, but one metal elbow is holding up his entire dust collection system. Mary can't decide on building vs. buying her bedroom closet and progress on here bookcase continues...sort of. Keith can't get out of his own way (as usual) on his current wall hanging cabinet, but brings in a videographer for day and realizes how much he despises vertical, short form content. All that and more!Be sure to check out Bits & Bits at www.bitsbits.com and use coupon code MORSELS15 to save 15% on your order of router and/or CNC bits. Be sure to hit up Katz-Moses Tools at www.KMTools.com - cool tools at a fair price. If it's on their website, it's in Jonathan's apron. www.kmtools.com **And check out the new Katz Moses toolless adjustable countersink and new sharpening jig and sliding stop block. Oh, and don't forget about his new aluminum channel French Cleat system with some bad azz 3D printed accessories that lock in place!! WTB Woodworking's latest giveaway is a $1000 shopping spree with Bits and Bits!! Register at wtbwoodworking.com/giveaway. And be sure to check out WTB Woodworking at 390 Pike Road, Unit 2, Huntingdon Valley, PA for lumber, slabs, woodworking tools and MORE!! Or shop online and earn yourself some Burkell bucks for every dollar you spend! Go to wtbwoodworking.com to shop online. Join us at WTB Woodworking for Mafell Day on Friday May 23rd from 8a-1pm. Demos, food, bevvies and giveaways.Help us support Grit-Grip!! A revolutionary new breed of double-sided sanding sponges that we all LOVE! Check it out at https://grit-grip.com/ and use code "shopsounds" at checkout to get a free sanding block!The Bourbon Blade: https://www.bourbonmoth.com/shop/p/the-bourbon-blade-original-pocket-chiselIf you'd like to support us on Patreon and have access to our irreverent aftershow, you can sign up here: https://www.patreon.com/shopsoundspodcastYou can find us on Instagram, Youtube, Facebook and TikTok (maybe): Bourbon Moth Woodworking and Keith Johnson Woodworking and Kodamari Design

Most demos don't fail because of the product. They fail because no real conversation ever took place. What should be a back-and-forth turns into a walkthrough. Feature after feature, then: “Does that make sense?” “Any questions?” They nod. They say they're good. And then nothing happens. That's not clarity. That's someone being polite while checking out. In this latest episode of the Sales is NOT a Dirty Word, we break down what strong demos do differently and where most reps lose the room. Because the second you stop getting a reaction, you're in the dark. You don't know if it fits. You don't know if they care. You don't know if they've already decided it's a no. The demos that move deals forward tend to share a few things: They ask for real input, not courteous agreement They adjust in real time based on what they hear They give the buyer space to push back early They make it clear, quickly, whether this is a fit or not You're not walking someone through your product. You're working through a decision with them. Hit play and see what shifts when the demo starts doing that job. 01:05 – The issue with “does that make sense?” 02:00 – Why prospects say yes even when confused 03:05 – Why deals stall or disappear 04:00 – Treating demos like discovery calls 05:00 – Tailoring to the buyer's situation 06:10 – Matching features to real use cases 06:50 – Better questions to ask 07:20 – Using pre-demo content 08:30 – Setting context before the call 09:10 – Small changes, big impact #SalesDemos #B2BSales #SalesStrategy #SoftwareSales #SalesProcess #ClosingDeals #SalesTips #SaaSSales #RevenueGrowth #SalesLeadership #SalesIsNOTADirtyWord  If your demos feel solid but deals still don't move, there's a gap in how the conversation is being run. Book a Sales Team Audit here: https://calendly.com/aleasha/salesteam-levelup

Taraji P. Henson previews her Broadway debut in Joe Turner's Come and Gone. Also,  Christopher Briney drops in to discuss his role in the new season of HBO Max's Hacks. Plus, inspired by Rock the Block, Ty Pennington shares DIY projects to create a high-end home look on a budget. And, Erica Taylor shares makeup tips for women over 40 for a more youthful look. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In episode 568 of 'Coffee with Butterscotch,' the brothers announce How Many Dudes Launch Date! They share their insights on game release strategies, balancing game mechanics, and upcoming features. They discuss the importance of timing, marketing, and player agency in creating a successful indie game launch.Support How Many Dudes!Official Website: https://www.bscotch.net/games/how-many-dudesTrailer Teaser: https://www.youtube.com/watch?v=IgQM1SceEpISteam Wishlist: https://store.steampowered.com/app/3934270/How_Many_Dudes00:00 Cold Open00:22 Introduction and Welcome01:16 How Many Dudes? Launch Date Announcement04:36 The Role of Demos in Game Marketing08:05 The Impact of Trailers and Marketing Efforts10:52 Timing and Competitor Analysis for Launch15:51 Scope and Content of 'How Many Dudes'22:10 Innovative Game Mechanics and Character Synergies28:42 Progression, Tiers, and Boss Fights36:02 Adding Variety and Player Agency with Systems and Trinkets48:51 Balancing Fun, Challenge, and Player Choice54:35 Upcoming Features and 'Ludo Kit' Developer ToolsTo stay up to date with all of our buttery goodness subscribe to the podcast on Apple podcasts (apple.co/1LxNEnk) or wherever you get your audio goodness. If you want to get more involved in the Butterscotch community, hop into our DISCORD server at discord.gg/bscotch and say hello! Submit questions at https://www.bscotch.net/podcast, disclose all of your secrets to podcast@bscotch.net, and send letters, gifts, and tasty treats to https://bit.ly/bscotchmailbox. We also built Ludokit, a tool for managing store pages, promo art, localization, achievements, credits, fonts, change logs, and more. Check it out at https://ludokit.com!Finally, if you'd like to support the show and buy some coffee FOR Butterscotch, head over to https://moneygrab.bscotch.net. ★ Support this podcast ★

Actress Jennie Garth sits down with Jenna and Sheinelle after opening up like never before in her new book, “I Choose Me.” Also, designer Nathan Turner shares his tips and tricks for styling a home that feels elevated and pulled together, straight from his new book, “I Love Decorating.” And Isa Briones, star of the Emmy-winning medical drama “The Pitt,” stops by to chat with Jenna and Sheinelle about her new role in Broadway's “Just in Time.” Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

My guest today is Sergey Levine, a professor at UC Berkeley and co-founder of Physical Intelligence. The company is building robotic foundation models designed to control any embodied system to do any task in any environment. Sergey argues that solving robotics at full generality is the right path, and that building systems that learn across many robots, environments, and tasks may be the more scalable approach than building narrow specialists. We discuss how these models can perform new tasks without being trained on them directly, and why everyday human actions remain the hardest problems in the field. He also reflects on how human trust and acceptance may matter as much as technical breakthroughs in determining when robots become part of daily life. Please enjoy my conversation with Sergey Levine. For the full show notes, transcript, and links to mentioned content, check out the episode page ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠.  ----- Become a Colossus member to get our quarterly print magazine and private audio experience, including exclusive profiles and early access to select episodes. Subscribe at ⁠colossus.com/subscribe⁠. ----- ⁠Ramp's⁠ mission is to help companies manage their spend in a way that reduces expenses and frees up time for teams to work on more valuable projects. Go to⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠ramp.com/invest⁠⁠ to sign up for free and get a $250 welcome bonus. ----- Trusted by thousands of businesses, ⁠Vanta⁠ continuously monitors your security posture and streamlines audits so you can win enterprise deals and build customer trust without the traditional overhead. Visit ⁠vanta.com/invest⁠.  ----- ⁠WorkOS⁠ is a developer platform that enables SaaS companies to quickly add enterprise features to their applications. Visit⁠⁠ ⁠WorkOS.com⁠⁠⁠ to transform your application into an enterprise-ready solution in minutes, not months. ----- Rogo is the AI platform for finance. They're building agents for Wall Street that are trained to understand how bankers and investors actually do work: from diligence and modeling, to turning analysis into deliverables. To learn more, visit rogo.ai/invest. ----- ⁠Ridgeline⁠ has built a complete, real-time, modern operating system for investment managers. It handles trading, portfolio management, compliance, customer reporting, and much more through an all-in-one real-time cloud platform. Visit⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ridgelineapps.com⁠. ----- Editing and post-production work for this episode was provided by The Podcast Consultant (⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thepodcastconsultant.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠). Timestamps: (00:00:00) Welcome to Invest Like the Best (00:02:43) Intro: Sergey Levine (00:03:29) Why Bet on Generality Over Specialization (00:07:24) What if PI succeeds? (00:09:05) Pros and Cons of Humanoid Robotics (00:11:02) Timeline of Major Milestones in Robotics (00:15:47) Sergey's Personal Journey (00:18:22) Making General Intelligence Happen (00:19:57) Understanding Robot Data Collection (00:22:12) Most Surprising Discovery at Physical Intelligence (00:24:48) The Science of Common Sense (00:25:36) Long-Range Tasks in Robotics (00:27:24) Why Wouldn't We Have A Robot in Our Kitchen by 2050 (00:31:21) Other Interesting Approaches (00:32:38) Cool vs. Useful in Robotics (00:36:48) Form Factor Innovation (00:38:22) Physical Intelligence Analogy (00:39:30) Economic Transformation from Robotics (00:40:48) Controversies in the Robotics Community (00:42:16) Arguments Against End-to-End Learning (00:42:34) Compositional Learning Explained (00:43:25) Last Tasks Robots will Conquer (00:44:30) Dark Parts of the Robotics Brain (00:47:05) What Makes a Great Researcher (00:50:15) Manufacturing and Scale Challenges (00:51:17) How Companies Should Prepare for Robotics (00:53:38) Boston Dynamics' Demos (00:55:43) Converging Technologies Enabling Robotics (00:56:47) How to Stay Up To Date in Robotics (00:59:51) Near Term Objectives (01:00:49) Confidence Level Among Researchers (01:03:31) Google's Experimentation Culture (01:04:24) The Kindest Thing