Podcasts about Hermes

We're turning our spare, scattered storage into one giant network drive. Good idea? Maybe.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

The Manchester Derby promised to be a game of drama, passion and excitement. It delivered on all three, but not for the right reasons. VAR failed at the job and fans of Manchester United rightly feel robbed. Will ProRef (aka PGMOL) finally put in the work to get things right, or will they be like Evri (formerly Hermes) and act like nothing happened at all.___Featuring Matthew, Craig, Clive & Markus.Visuals by Clive Follow Eightseven on: https://www.facebook.com/eightseven.uk/ https://www.instagram.com/eightseven.uk/ https://twitter.com/eightsevenuk/

Mercury is the smallest planet in our solar system, closest to the sun, taking a magical 88 days for a year. It travels fast but spins slowly – a day being 1.5 times as long as a year – with a quirky, egg-shaped orbit.Small with a big character. That kind of sums up mythical Hermes (Mercury) who, on the first day of his life, invents music, fire and ritual, steals Apollo's cattle and snuggles back into his blanket like nothing happened. To get in touch with this endlessly paradoxical being we begin with his Orphic Hymn: an invocation of the god. Only, of course, there isn't one hymn but two. Already he has found a way to 'twin' himself. The first hymn gives us a sense of his role as messenger – his 'day job' – the second as psychopomp: guide of souls who assists us through the many deaths of our lives. That's the thing about Hermes/Mercury. We meet him at the threshold. Even astrologically he is the third in a set of three. He revises where we've been and sets us up for where we're going next. Of course, being an episode about words themselves, there had to be some poetry involved. Dylan Thomas takes us in with On the Words in Poetry – essentially a love song dedicated to the magic of words themselves. And then, to close us out, a poem called, if this isn't too on the nose, Magic Words. ReferencesHomeric Hymn to Hermes — Theoi Classical Texts Library Orphic Hymns — Apostolos N. Athanassakis & Benjamin M. Wolkow, The Orphic Hymns — Johns Hopkins University PressThe Rag and Bone Shop of the Heart — Robert Bly, James Hillman & Michael Meade — Open LibraryDylan Thomas — “On the Words in Poetry” — from The Rag and Bone Shop of the Heart“Magic Words” — from The Rag and Bone Shop of the HeartTim Minchin — “Prejudice” — YouTubeTim Minchin — “If You Open Your Mind Too Much Your Brain Will Fall Out” — Tim MinchinSigmund Freud / “Freudian slip” — APA Dictionary of Psychology Arnold Mindell — “Discovering the World in the Individual: The World Channel in Psychotherapy” — Process Work Hermes — Theoi Greek Mythology — Hermes Hermes, the herma, fire, lyre and psychopomp — Theoi: HermesJoin the Newsletter!Podcast Musician: Marlia CoeurPlease consider becoming a Patron to support the show!Go to OnTheSoulsTerms.com for more.

Aaron interviews Diego Oppenheimer, general partner at the AIT Fund (the venture fund behind the AI Tinkerers builder community), about what it takes to move AI agents from personal experimentation into enterprise-grade deployment. Drawing on his own agent fleet (a chief-of-staff agent, a content strategist, and Ashley, an always-on AI community manager serving AI Tinkerers' 127,000+ members) as a proving ground, Oppenheimer lays out an enterprise security model built on treating agents as digital employees with their own delegated identities and credentials, scoped access rather than blanket access to accounts like email and calendar, and continuous audit logging (via the open-source tool Hyperware) in place of trust based on prior behavior. He argues enterprises get burned by chasing a single omnipresent agent instead of narrowing agents to specialized, restricted workflows, the same specialization principle that has driven results throughout machine learning, and flags scheduling as a deceptively hard example where the "10% edge cases" eat most of the effort. He also describes deliberately red-teaming his own agents for weeks (trying to break out of containers, extract credentials, and social-engineer them) before granting them any real access, and points to NanoClaw's containerized, minimal-component design as a model worth enterprise attention. The conversation closes on identity, responsibility, and permissioning as the unresolved internals enterprises must solve before scaling agent autonomy, and on Oppenheimer's prediction that many enterprise roles will shift toward "exception handling" as teams of AI coworkers absorb routine work and escalate only what needs human judgment.SHOW: 1063 SHOW TRANSCRIPT: The Enterprise AI Show #1063 TranscriptSHOW VIDEO: https://youtu.be/vL8btTMcInESHOW SPONSORSNordLayer - Use ENTERPRISE10 for 10% offNasuni - Activate your data for AI and request a demoSHOW LINKSDiego Oppenheimer homepageDiego on LinkedInAI TinkerersGuardrails AINanoClaw on GitHubThe New Stack, "OpenClaw vs. Hermes Agent: The race to build AI assistants that never forget"The New Stack, "NanoClaw and Docker team up to isolate AI agents inside MicroVM sandboxes"GUEST BIODiego Oppenheimer is working full-time at AIT Fund (the fund behind AI Tinkerers) and previously was a partner at Factory and served as CEO-in-residence at Factory. He founded Algorithmia, an enterprise MLOps platform acquired by DataRobot, co-founded Guardrails AI, and earlier in his career led teams at Microsoft shipping Excel, SQL Server, and Power BI. He is currently running AI agents inside his own team to take on real, sustained work, including one named Ashley, and documenting what he's learned in a new video series with Joe Heitzeberg.FEEDBACK?Email: show @ the enterprise ai show dot comBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

Enseñanza Domingo 14 septiembre 2026

“Get off my lawn.” Join Ian, Liam & Megs for our 348th episode as we pull the Gran Torino out of the garage and spend some time with the angriest man on the street for Clint Eastwood's Gran Torino (2008) — a film about racism, masculinity, community and the legacy we leave behind.  Kev isn't with us this week — Walt caught him looking at the Gran Torino and has been sitting on the porch staring at him ever since. Kev assures us he'll be allowed to move eventually.  And we're delighted to welcome BFF of the BFE Hermes Auslander to help us unpack one of the most fascinating — and occasionally deeply uncomfortable — films of Eastwood's later career. This week we discuss: Clint Eastwood and legacy — how much does Gran Torino deliberately trade on everything Eastwood has represented on screen for the previous forty years? Where does this rank among our Clint Eastwood films? We put Walt Kowalski up against the other Eastwood performances and movies we've covered on the BFE. Masculinity according to Walt — tools, cars, beer, work and absolutely no discussion of feelings. Is the film celebrating this version of manhood or slowly dismantling it? The creation of “the other” — Walt begins with an entire community reduced to stereotypes and slurs. And the dismantling of “the other” — what happens once the people Walt has spent years categorising actually become people to him? Walt and Thao — a mentorship that begins with an attempted car theft and becomes the emotional heart of the movie. Sue — is she actually the person most responsible for breaking through Walt's defences? The language of Gran Torino — can the film use racism to interrogate racism without occasionally becoming too comfortable with the joke? The performances around Eastwood — does the decision to cast inexperienced Hmong actors add authenticity, or expose some pretty significant gaps in performance? And is there one acting moment that nearly ruins the entire film? When Walt locks Thao away, does Bee Vang give us anything close to the desperation that this enormously important scene requires? Walt's biological family versus the family next door — the people he's related to seem increasingly distant while the people he initially despises become his community. Father Janovich is more important than he first appears — what begins as Walt mocking an inexperienced young priest develops into a relationship that becomes crucial to understanding the ending. What does Walt actually leave behind? The Gran Torino matters, but his real legacy might have considerably less to do with the car. Clint Eastwood playing Clint Eastwood — brilliantly weaponising his own screen persona, or occasionally drifting into self-parody? That ending — after a career built around armed men solving problems with violence, Eastwood gives Walt one final confrontation and refuses to let him fire the gun. But does everything finish a little too neatly? Walt gets his redemption, Thao gets the car and the gang problem gets wrapped up remarkably cleanly for a film that has spent so long dealing in messier realities. Hermes joins us to tackle the redemption question — does learning to love a handful of people actually undo a lifetime of prejudice? And finally, whether Gran Torino is the Best Film Ever — or Clint Eastwood putting his own cinematic legacy on trial. Become a Patron of this podcast and support the BFE at https://www.patreon.com/BFE We are very thankful to the following Patreon backers for their generous support: Juleen from It Goes Down In The PM Hermes Auslander James DeGuzman Synthia Shai Bergerfroind Ariannah Who Loves BFE The Most Paul Komoroski Duane Smith (Duane Smith!) Andy Dickson Aashrey Chris Pedersen Randal Silva Nate The Great Rev Bruce Richard Ryan Kuketz Dirk Diggler Stew from the Stew World Order podcast NorfolkDomus John Humphrey's Right Foot Timmy Tim Tim Youth Hosteling with Chris Eubank Buy some BFE merch at https://my-store-b4e4d4.creator-spring.com/. Massive thanks to Lex Van Den Berghe for the use of Mistake by Luckydog. Catch more from Lex's new band, The Maids of Honor, at https://soundcloud.com/themaidsofhonor Also, massive thanks to Moonlight Social for our age game theme song. You can catch more from them at https://www.moonlightsocialmusic.com/

We rebuild our media stack around Jellyfin 12, survive a major upgrade, and add self-hosted tools that make sharing with family and friends much better.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

As velhas notícias de sempre, com um humor nunca dantes visto na história deste país, apresentado pelo Rasta, com o melhor do seu entendimento.

As velhas notícias de sempre, com um humor nunca dantes visto na história deste país, apresentado pelo Rasta, com o melhor do seu entendimento.

As velhas notícias de sempre, com um humor nunca dantes visto na história deste país, apresentado pelo Rasta, com o melhor do seu entendimento.

Romans 16New King James VersionSister Phoebe Commended16 I commend to you Phoebe our sister, who is a servant of the church in Cenchrea, 2 that you may receive her in the Lord in a manner worthy of the saints, and assist her in whatever business she has need of you; for indeed she has been a helper of many and of myself also.3 Greet Priscilla and Aquila, my fellow workers in Christ Jesus, 4 who risked their own necks for my life, to whom not only I give thanks, but also all the churches of the Gentiles. 5 Likewise greet the church that is in their house.Greet my beloved Epaenetus, who is the firstfruits of [a]Achaia to Christ. 6 Greet Mary, who labored much for us. 7 Greet Andronicus and Junia, my countrymen and my fellow prisoners, who are of note among the apostles, who also were in Christ before me.8 Greet Amplias, my beloved in the Lord. 9 Greet Urbanus, our fellow worker in Christ, and Stachys, my beloved. 10 Greet Apelles, approved in Christ. Greet those who are of the household of Aristobulus. 11 Greet Herodion, my [b]countryman. Greet those who are of the household of Narcissus who are in the Lord.12 Greet Tryphena and Tryphosa, who have labored in the Lord. Greet the beloved Persis, who labored much in the Lord. 13 Greet Rufus, chosen in the Lord, and his mother and mine. 14 Greet Asyncritus, Phlegon, Hermas, Patrobas, Hermes, and the brethren who are with them. 15 Greet Philologus and Julia, Nereus and his sister, and Olympas, and all the saints who are with them.16 Greet one another with a holy kiss. [c]The churches of Christ greet you.17 Now I urge you, brethren, note those who cause divisions and offenses, contrary to the doctrine which you learned, and avoid them. 18 For those who are such do not serve our Lord [d]Jesus Christ, but their own belly, and by smooth words and flattering speech deceive the hearts of the simple. 19 For your obedience has become known to all. Therefore I am glad on your behalf; but I want you to be wise in what is good, and [e]simple concerning evil. 20 And the God of peace will crush Satan under your feet shortly.The grace of our Lord Jesus Christ be with you. Amen.21 Timothy, my fellow worker, and Lucius, Jason, and Sosipater, my countrymen, greet you.22 I, Tertius, who wrote this epistle, greet you in the Lord.23 Gaius, my host and the host of the whole church, greets you. Erastus, the treasurer of the city, greets you, and Quartus, a brother. 24 The[f] grace of our Lord Jesus Christ be with you all. Amen.25 [g]Now to Him who is able to establish you according to my gospel and the preaching of Jesus Christ, according to the revelation of the mystery kept secret since the world began 26 but now made manifest, and by the prophetic Scriptures made known to all nations, according to the commandment of the everlasting God, for obedience to the faith— 27 to God, alone wise, be glory through Jesus Christ forever. Amen.

Circe, la bruja de la mitología griega que convertía a los hombres en cerdos, fue la primera hechicera de la literatura. Su historia real es más rara de lo que crees.Todo el mundo conoce la escena: la mujer sola en la isla, la copa, los marineros de Odiseo convertidos en cerdos. Pero mirada de cerca, Circe no es la villana de la Odisea, sino la primera mujer a la que Occidente convirtió en «bruja» por vivir sola, con poder y sin permiso de nadie.En este episodio: su linaje imposible (hija de Helios, hermana de la madre del Minotauro, tía de Medea); por qué convertía a los hombres en cerdos —y por qué, mirado en frío, se parece bastante a la defensa propia—; la hierba moly de Hermes y el rhabdos, la primera varita mágica de la literatura; y cómo, tres mil años después, seguimos temiendo lo mismo: a la mujer que no necesita a nadie.FUENTESCirce en las fuentes antiguas (Theoi): enlaceHomero, «Odisea» X — Circe, el moly y los cerdos: enlaceHomero, «Odisea» XII — Escila: enlaceHesíodo, «Teogonía» — linaje e hijos de Circe: enlaceOvidio, «Metamorfosis» XIV — Glauco, Escila y el rey Pico: enlaceApolonio de Rodas, «Argonáutica» IV: enlaceDiodoro Sículo 4.45 — la variante del destierro: enlaceRecepción: Madeline Miller, «Circe» (2018); Christopher Nolan, «The Odyssey» (2026).EL EPISODIO DEL QUE HABLO AL FINAL De Circe a las hogueras hay un hilo larguísimo, y lo tiré entero aquí: De brujas en la antigua Grecia y Roma y los orígenes de la brujeríaVersión en vídeo: youtu.be/PebZgJoqGjc Más mitología, por escrito: mitosymas.com ★ Support this podcast ★

La venganza será terrible — Radio AM 750 Alejandro Dolina, Patricio Barton, Guille P. 0:00:07 Apertura del programa y presentación en Radio 750 0:04:38 Comienzo informal: conversación sobre picazón, urticaria, hortigas, insectos y luciérnagas 0:14:13 Aviso de presentaciones y paso al tema sobre el maxiquiosco urbano 0:15:21 Consejos y objetos del maxiquiosco: golosinas, cigarrillos, bebidas, alcohol y carteles obligatorios 0:28:22 Más rubros del maxiquiosco: bombones, productos de pirotecnia, granola y cuetes por pedido 0:33:00 Sándwiches de miga, mazos de cartas, dados, juguetes y artículos imprevistos 0:38:28 Regalos, peluches, sacacorchos, stickers, llaveros y panchos 0:51:05 Plastificación de fotos y anécdota sobre una clienta del barrio 0:55:44 Más rubros y seguridad del quiosco: microondas, fotocopiadora, rejas, ventana, timbre y descanso 1:06:56 Cierre del bloque del quiosco y cambio de tema 1:22:02 Mensajes de oyentes y continuidad del programa 1:28:47 Segmento mitológico: relatos sobre ladrones castigados y transformados en aves 1:37:18 Historias de Hermes, Apolo y el origen de la lira 1:44:00 Otros bandidos de la mitología griega: Cinesias, Isirón, Perifetes y Procusto 1:46:24 Selección musical: interpretación de “Chorra” 1:50:12 Segmento humorístico: el gimnasio como lugar de seducción y guía de conducta 2:12:46 Segundo bloque musical con pedidos del público 2:22:46 Cierre musical con más canciones y despedida (Resumen generado automáticamente con IA, puede contener errores)

Dave Morin goes hands-on with Apple's iPhone Duo, the crew tests Meta's new Muse agent and asks whether it can hold up once Google ships its own, and Dave explains why OpenAI's Astra is the first AI model in a long time that felt scary to use. Dave, Brit, and Jess break down the week (Sam's at the US Open).Also this week: a former Anthropic researcher's AI doom media tour, weeks before Anthropic's IPO, and whether it's a real warning or a play for regulatory capture. Plus the Apple Watch feature that transcribes your conversations all day, Jeffrey Katzenberg's new Hollywood AI venture, and the forgotten story of Venmo's viral billboards.In this episode:- Dave's hands-on take on the iPhone Duo, its $2,000 price, and why Apple is going foldable now- The Apple Watch feature that listens all day, and what it means for Granola- Meta's Muse agent: why it knew almost nothing when asked "what do you know about me?"- Why Google hasn't shipped its agent yet, and how trust vs. distribution shapes the agent wars- Why OpenAI's Astra felt scary to Dave, and what happens when you run millions of them at once- Dave's two takes on the AI doom media tour, including whether it's a play for regulatory capture- Why the AI labs can't slow down, and OpenAI's merge clause if someone else reaches AGI- The Venmo documentary and the "Lucas" billboards that went viral with almost no budgetChapters:00:00 Trailer01:26 Can AI Agents Win Your Fantasy Football League?02:39 Jess vs. the Bots: School Sign-Ups and Indian Wells Tickets05:28 Apple's Big Hardware Event Under Its New CEO06:07 iPhone Duo Hands-On: Size, Screen, and Camera09:35 Folded Modes, Kid Cam, and the $2,000 Price Tag11:41 Why Apple Is Going Foldable Now (Hint: China)12:13 Apple Watch Takes On Oura and Whoop13:12 Audio Intelligence: The Apple Watch That Listens All Day15:25 Always-On AI and Apple's Shot at OpenAI and Meta16:59 Meta's Muse Agent: What Does It Know About You?20:30 The Agent Wars: Muse, Instinct, Hermes, and OpenClaw22:26 Why Google Hasn't Shipped Its Agent Yet23:31 Trust vs. Distribution: Meta, Google, and OpenAI25:02 Harness Wars: Why Agents Are Still in 198227:13 Jeffrey Katzenberg's Hollywood AI Venture29:35 Anthropic's IPO and the AI Doom Media Tour30:56 If It Bleeds, It Leads: Why AI Fear Sells32:04 Take One: A Psyop for Regulatory Capture?33:43 Take Two: Why OpenAI's Astra Felt Scary36:49 Why the AI Labs Can't Slow Down38:14 OpenAI's AGI Merge Clause40:12 The Venmo Documentary and the Ace Hotel Origin Story45:02 How Venmo's "Lucas" Billboards Went Viral46:31 Coming Soon: Altman, Musk, and Facebook Movies47:41 US Open Picks and the 4 AM Match ProblemWe're also on:X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessSpotify: https://open.spotify.com/show/2CJdt6HhJ8ioNkbqqVKckCApple Podcasts: https://podcasts.apple.com/us/podcast/more-or-less-from-the-morins-and-the-lessins/id1692234179Full transcripts: https://moreorlesspod.com/episodes/Connect with us here:Sam Lessin: https://x.com/lessinDave Morin: https://x.com/davemorinJessica Lessin: https://x.com/JessicalessinBrit Morin: https://x.com/britAbout More or Less: For 15 years, the Morins and the Lessins have debated the future of Silicon Valley as the closest of friends. Every Friday, they break down technology, capital, and media. From The Information, Offline Ventures, and Slow Ventures.

Listen Now to 025 WTFuture Watch 025 WTFuture Welcome back to the show, coming straight to you from our home studio in Boulder Creek alongside Bobby catching the perfect post-Labor Day weather in San Francisco! We kick things off this week celebrating our quantum physicist buddy Dr. Nick Herbert’s 90th birthday—a glorious intellectual ice cream social complete with champagne, dancing, and great chats with his friends, including sci-fi writer Rudy Rucker and scientist Beverly Rubik.     And for mind-bending science this week, we dive straight into how raindrops rolling across surfaces act like micro lightning bolts—generating static electrical charges that punch right through protective coatings via dielectric breakdown!  From electrified droplets, we look at the power of de-centrally shared minds, geeking out over Apple’s local Neural Processing Units (NPUs) that allow you to run up to 95% of your AI queries right on your phone or local Mac.  We got super excited about clustering our machines using tools like Hermes and LM Studio over VPN tunnels, pooling VRAM with friends to run AI agent workflows while we sleep without paying steep cloud token fees.   To cap off our cosmic journey, we look at Agility Robotics’ humanoid factory robot, Digit, now in Fremont , NASA’s expanding  Deep Space Network, and a SETI plan to search for micron-scale techno-signatures in lunar dust.  We close with a morning poem by Sun, alongside a mythic memory of crafting the moon as a teacher of time..Enjoy!

Today I'm joined by mentor, guide and friend of the podcast, Brian Clark. It's time to enter the world of Hermes, guide of souls, the one we meet on the road who can lead us away from home and lead us back when the time is right. We begin our discussion by talking about mythological Hermes, tracing his origins back to Mycenaean culture where he was known as the ‘herma' – a pile of rocks that we still have in our language today as the ‘milestone'. Brian and I discuss moments in our lives, of which there are far more than we could possibly mention, of when we had a plan and Hermes had an alternative. Once off the track of what we thought might happen we are in the hands of Hermes or Mercury and on the pathless path where the mystery, unmistakably, is unfolding at our feet. From here we go into the more technical realm of Mercury the planet. The numbers that are associated with his relationship to the sun, including Pi – that endless rambling number that seems random but follows an invisible order. And we suggest some ways to work with Mercury and its cycles in order to follow its intrinsic patterns, tend to the mind and thread together ideas so that they might become fruitful projects over time. I decided to leave the conversation unedited. The moments of wrestling with an idea, or getting things wrong, or taking the apparently wrong path, seem an important part of the contemplation of Hermes Mercurius. Without that tension, that wrestling match, that confusion, those strange crossroads, we're unlikely to receive that little bag of gold that Hermes holds in his hand, the one that isn't holding the Caduceus. Resources MentionedBooks & TextsLewis Hyde — Trickster Makes This WorldHomer — The IliadHomer — The OdysseyHomeric Hymn to HermesAuthors & ThinkersDavid AbramDane RudhyarMythological ReferencesHermes / MercuryPerseus and MedusaKairosPrometheus and EpimetheusMetisMnemosyneSnow White / Sleeping BeautyAstrology & AstronomyMercury's Promethean and Epimethean phasesMercury's retrograde cyclesMercury's inferior and superior conjunctionsMercury's greatest elongationThe ~116-day Mercury cycleThe relationship between Mercury's cycles, 22/7, and πAstrosynthesisBrian Clark & Glennys Lawton — AstrosynthesisJoin the Newsletter!Podcast Musician: Marlia CoeurPlease consider becoming a Patron to support the show!Go to OnTheSoulsTerms.com for more.

Hoy te traigo un episodio que llevaba tiempo queriendo grabar. Y es que muchos estáis usando agentes de IA, pero los tenéis desnudos. Sin skills. Y un agente sin skills es como un Linux sin comandos: técnicamente funciona, tienes el kernel, tienes la shell, pero sin ls, sin grep, sin systemctl, no puedes hacer nada útil. El mejor modelo del mundo sin herramientas solamente es texto bonito.En este episodio te cuento qué son exactamente las skills, por qué transforman un modelo de lenguaje en un asistente que hace cosas, y cuáles son las tres skills imprescindibles que todo agente debería tener. Una skill no es ni más ni menos que un prompt. Un conjunto de instrucciones que le dice a tu agente cómo tiene que hacer algo. No es un programa ni un script, es una receta de comportamiento. Y no necesitas ser programador para crearlas.Te hablo de skills del sistema: leer archivos, ejecutar comandos, navegar por tu equipo. Skills de búsqueda: búsqueda web con SearXNG (que tengo montado en un Slimbook One y devuelve resultados en JSON que es una maravilla), búsqueda local con RipGrep que es increíblemente rápida, y búsqueda semántica con SQLite. Y skills de automatización: tareas programadas, webhooks que responden a eventos como un git push, o scripts orquestados que pueden hacer casi cualquier cosa.Pero no me quedo ahí. Te doy las tres reglas de oro para crear tus propias skills. Porque los mejores skills son los que escribes para ti mismo. Primera regla: no digas "revisa el sistema", sino "ejecuta systemctl status --failed". Cuanto más específico, mejor. Segunda: define los límites. Qué puede hacer y qué no. Lo que no puede hacer es casi tan importante como lo que puede hacer. Tercera: ponle ejemplos. Cómo tiene que quedar el resultado, qué formato tiene que usar. Con estas tres cosas todo rueda mucho mejor.También te cuento cómo organizar tus skills. Cada agente guarda los skills donde le da la gana: OpenCode en .config/opencode/skills, Hermes en .hermes/skills. Yo cada vez los guardo más en .agents/skills porque la mayoría de los agentes ya saben encontrarlos ahí. Y te hablo de los hubs de skills, donde puedes instalar skills creados por la comunidad con un solo comando.Si usas OpenCode, Hermes Agent u Open Web y sientes que tu agente responde preguntas pero no hace cosas, este episodio te va a cambiar el día a día. Vamos directos al turrón.Capítulos del episodio:0:00 - Introducción: tu agente está desnudo1:45 - ¿Qué es una skill? De un prompt a un asistente que hace cosas4:15 - Skills del sistema: leer archivos, ejecutar comandos, navegar7:30 - Skills de búsqueda: web con SearXNG, local con RipGrep, semántica con SQLite11:00 - Skills de automatización: tareas programadas, webhooks, scripts orquestados13:45 - Las 3 reglas de oro para crear tus propias skills18:30 - El ecosistema de skills: dónde guardarlas y cómo organizarlas21:00 - Ejemplo práctico: la skill del tiempo meteorológico23:15 - Conclusión: un agente sin skills es Linux sin comandosMás información y enlaces en las notas del episodio

Brent has two hours to build a great website, and the solution he finds feels more like a Linux tool than a modern web framework. Naturally, Wes takes it too far.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

To celebrate 35 years of Kidd's Kids, we are catching up with some of people who have gone on past trips. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Most people use Hermes like a glorified ChatGPT, and that mistake is costing them 90% of the leverage available to them. In this video, I break down the exact framework for turning Hermes into a true business multiplier: ⬛ How context becomes artifacts, and how artifacts become reusable skills ⬛ Why prompts are disposable but skills compound ⬛ How to make Hermes multiplayer across your entire team, not just yourself ⬛ The 8 levels of Hermes, from asking simple questions to building a true company brain ⬛ Why governance and permissioning matter before you scale AI across your business If you're a founder or operator still treating your AI agent like a search box, this will change how you think about what's possible. Chapters 00:00 The #1 Mistake Killing Your Hermes Results 00:31 The Framework: Context → Artifacts → Skills 01:32 Building a Strategic Thought Partner 03:27 Scaling Your Thinking With Artifacts 07:19 Making Hermes Multiplayer (Company Brain) 08:52 Skills vs Prompts vs Loops 11:12 Single Brain & Skills Dojo 13:35 Connectors, Governance & The Desktop App 17:39 Cron Jobs & Memory Systems 19:53 The 8 Levels of Hermes How to Connect IG: /ericosiu X: /ericosiu

Send us some Fan Mail? Yes please!Another Alien & Amputee special to help tie you ravenous vultures over until Hermes gets back from his hunting trip. There will surely be plenty to share once he returns, but join Patreon to follow along live in the meantime. Until then, ENJOY some speculative podcasting!Connect with Nick: His podcast, YouTube, & Twitter. Connect with Hermes: Instagram & Twitter Subscribe, rate us 5, come join in all the other fun we offer, but most of all we hope you enjoy! If you liked this, and want to hear more, give us a follow and let us know! Or maybe you just want to tell us how awful we are? Comments help the algorithm, and we love to see ‘em! And as always, don't kill the messenger. Whiskey Fund (help support our podcast habit!): PayPalOur Patreon & YouTube Support the show

On this week's show Patrick Gray and James Wilson are joined by guest co-host The Grugq to talk through the week's news, including: Two alleged TeamPCP hackers got arrested in Australia The White House has a plan to boost security for water facilities, but we can't see it working OpenAI keeps the ol' Hugging Face discourse going for another week with an incident debrief Tech companies write another open letter about AI… we're getting CISA Shields Up flashbacks, but for robots Much, much more… This week's show is brought to you by Ent AI. Co-founder Brandon Dixon joins Pat to talk through some of the absolutely wild fraud and abuse the company's endpoint security tool is finding when it's deployed inside large organisations. This episode is also available on YouTube Show notes Two Alleged ‘TeamPCP' Hackers Arrested in Australia | krebsonsecurity.com How Brian Krebs doxxed TeamPCP - Risky Business Media | Social Signals FIRST ON FOX: Texas becomes testing ground for new defense against attacks on America's water systems | Social Signals OpenAI's Hugging Face Hack Debrief Raises More Questions Than It Answers | wired.com The Rise and Fall of Agent Civilizations | clem

The Way of Hermes continues... Watch part one that leads up to the Modern Era: https://www.youtube.com/live/KmjZQR4N5Hs?si=rveGStyRKYiQtzzy▶ JOIN THE CHANNELJoin over 125 YouTube channel members for Zoom hangouts, special streams, private lesson videos and loads more content: https://www.youtube.com/channel/UCsS3K4kGZg5LORnTTWBeVWA/join

Hey everyone, welcome to the Alan Smithee Podcast! The gang is back, refreshed from a summer break with lots to talk about: Hollywood's hopeful rebound, post-production tech updates, acquisitions in both tech and media, the latest AI news, and of course, some very cool things for us post-production people to get excited about. Show NotesKatie: https://www.dailyspecialstudios.comMichael: Harnesses: Claude Dispatch, Hermes, OpenClawScott: EditSwitch: Training and consulting for the migrating video editor    https://www.editswitch.comParamount / Warner Brothers mergerhttps://www.axios.com/2026/08/11/david-ellison-paramount-californiahttps://www.ajc.com/arts-entertainment/2026/08/paramount-eyes-georgia-other-states-for-hq-move-amid-antitrust-case/2026 Box Officehttps://gower.st/articles/keeping-momentum-2026-sees-highest-grossing-june-quarter-first-half-this-decade-international-domestic-box-office/https://www.reuters.com/commentary/breakingviews/hollywoods-hit-parade-is-becoming-sideshow-2026-08-27/California Tax Creditshttps://film.ca.gov/lights-camera-action-41-new-film-projects-to-receive-californias-film-first-year-of-expanded-program-projected-to-bring-6-6-billion-in-economic-impact/https://www.cbsnews.com/losangeles/news/california-film-tv-tax-incentive-program-state-budget-issue-provision-sb-1122/YouTube to Indieshttps://www.forbes.com/sites/daviddeal/2026/06/10/obsession-and-backrooms-prove-youtubes-a-powerful-pipeline-for-filmmakers/https://www.theguardian.com/film/2026/jun/01/youtube-gen-z-filmmakersAvid changes to third-party storage:https://kb.avid.com/pkb/articles/en_US/knowledge/shared-project-workflows-with-third-party-storagehttps://www.provideocoalition.com/avid-media-composer-2026-8-will-bring-changes-to-third-party-storage/https://hedge.co/blog/avid-bin-locking-enterpriseDisney and TikTok have a dealAdobe acquired Topaz New Macs including Mac Studio M5 UltraOne Cool ThingKatie: Allosphere at UCSB https://allosphere.ucsb.edu/Michael:  Harnesses: Claude Dispatch, Hermes, OpenClaw. https://hermes-agent.nousresearch.com/https://openclaw.ai/Explainer: https://blueflame.ai/blog/ai-harnesses-explainedScott: My Chemical Romance - The Black Parade (Listen)

adopting a pet might change your life, are these concerts worth the price? Chanel talk, Hermes, FENDI moments and all the tea, rearranging the walk in closet.   Finished maximum overdrive, Reacher, are we over dating shows ? Adults, the shards, the testaments, 9 to 5, will they remake x files.   Just limit sugar, simple easy eats, are sushi bowls worth 18 bucks, spaghetti squash, breakfast hash, creamy white chicken sausage chili.   Happy Monday stars

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Visual storyteller and photojournalist, Ann Hermes, joins Michael Chovan-Dalton from the 2026 Chico Review to discuss her advocacy for visual storytelling and her photographic exploration of the loss of local newsrooms.https://www.annhermesphoto.comhttps://www.instagram.com/hermesphoto/I am a Brooklyn and Boston-based photojournalist and visual storyteller with a flair for the nostalgic. I create documentary tableaus that explore the roles that often overlooked, and sometimes outdated, institutions and people play in our history, culture and future. I've worked in a variety of logistically challenging situations on national and international assignments over my 15 years as a staff photographer for The Christian Science Monitor and other national and regional news outlets. This work ranged from breaking visual news coverage of the Arab Spring in Egypt to in-depth stories following Syrian refugees in Eastern Europe. My stories have also been featured in The New York Times, The Wall Street Journal, The Atlantic, The New Republic, and AARP.After years of experience in news photography, I am using my documentary expertise to create a visual exploration of the current critical era in journalism and explore the potential harm that the loss of local newsrooms would bring to our democracy. My Local Newsrooms project was recently exhibited at Photoville and profiled in Lenscratch. I hold an MA in Journalism from the University of Missouri. This podcast is sponsored by the Charcoal Book Club - Begin Building your dream photobook library today at:https://charcoalbookclub.com

Acts 14 is a lesson in church planting. It is a lesson on how God's people are called to call others into a relationship with Jesus, and to build congregations in homes, in unusual places, underground in some parts of the world, wherever the Spirit of God is moving.    God gives to His people strength, guidance, direction and power to carry out the mission Jesus has given us in making disciples of the nations.   The story pics up in Acts 14:1 in Iconium and there Paul and Barnabas teach both Jews and Greeks the Good News of Jesus and many came to faith. But a group of Jews who refused to believe in Jesus stirred up opposition. Paul and Barnabas however, were not intimidated and continued to preach and perform signs and wonders. Then there began a plot to stone them, so they fled and head to Lystra where they see a man that was lame.   As Paul spoke the Good News of Christ, he saw the man had the faith to be healed and Paul tells the man to "stand up and walk." Following this miracle the crowds, in their own language, spoke of Paul and Barnabas being gods; Zeus and Hermes. As Paul and Barnabas figure out what is being said and see people wanting to offer sacrifices to them, they tear their clothes and tell them they are human just like them and refuse to receive anything from the crowd. They tell them they are bringing them the Good News of a Living God.    As the story continues Paul is being stoned, the angry leaders of the church and others, left him outside the town as dead, but the disciples gather around Paul and then he gets up and heads to Derbe where he and Barnabas again won a large number of disciples for Christ. (See 2 Timothy 3:10-11)    But then, Paul and Barnabas return to those cities where they had been persecuted and they encourage the disciples to remain true to the faith. They tell them that as believers we must go through many hardships to enter the kingdom of God.   Salvation is free but living the christian life is hard.   THEN + NOW - Spreading the Kingdom - church planting When we are around people who have a confused notion of what is real and what is true we are to do as Paul did: Bring them the Good News of Jesus - tell them Jesus' story. One God - tell them there is One god, not many like they had Creator - that the One God is Creator of all Good - That God is good Strengthen one another - We are to be grounded in the Word of God, the word of truth, and to take the narrow road.  The word gives direction and understanding, and exposes what is false, evil and deadly. Encourage believers - we are to encourage believers going through tragedy and loss, reminding them of God's promises, building them up in confidence and hope in Christ. Commissioning - As believers we are commissioned. Our purpose is to reach the world for Christ. We are called to being committed to carrying out the commission of Jesus. We are not called to be comfortable, we are called to be comforters. We are not called to be contented with the status quo, we are called to be committed to carrying out the commission of Jesus. This is needed in every age, every generation and in every land.     Pastor shares a personal family story…   Pastor concludes with: How dangerous it is to embrace religion without embracing Christ.  It's a danger to be comfortable with the status quo rather than to have hearts that grieve for those who don't yet know the Lord.  How dangerous it is to simply want to maintain what we have rather than follow what Jesus has commanded us to do to winning the world to faith in Him.   We are to answer the Lord's call, "Send me! Send me!"     This week's READING ASSIGNMENT: Acts chapter 14-15.      Now What? Learn about God at https://www.awakeusnow.com EVERYTHING we offer is FREE.   Check out this video series from our website: https://www.awakeusnow.com/god-acts-then-now   Or watch from our Youtube channel https://www.youtube.com/@AwakeUsNow/videos   Join us Sundays live or on demand from our website  https://www.awakeusnow.com/sunday-service

Claude gets its own browser, ChatGPT adds more flexible temporary chats and multiple Gmail connections, and new voice and video models promise cleaner transcription, greater control and dramatically faster generation. NLW rounds up the week's most useful launches from Anthropic, OpenAI, Google, xAI, Hermes and others. In the headlines: NVIDIA buys Hugging Face, Salesforce leads a software comeback and a proposed self-regulatory body for AI stalls.NEXT COHORT - Executive Agent Leadership - Returns in September -- Learn how to use agents - ⁠⁠⁠⁠⁠⁠https://training.besuper.ai/⁠⁠⁠⁠⁠⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Harbor - Invest in the AI ecosystem. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.harborcapital.com/aidaily⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hyperagent.com/aidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.rackspace.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

We are Trump-free, but we cannot ignore the bunny boiler of the moment. Natalie Harp has the internet in a chokehold with those letters. We break down why everyone from Secret Service to Saturday Night Live writers is paying attention. Brand drama alert. LoveSac picked a fight with a comedian over a 24-box couch and lost the internet's sympathy fast. Then Hermes did Hermes things to comedian Zarna Garg and her daughter, and the girl did not hold back on socials. More brand chaos is brewing, so tune in next week for the full scoop on Calloway Golf and that driver ad nobody should have approved. Gwyneth strikes again. This time it is a very fancy, very off the record dinner for Sam Altman that nobody asked for. Her clapback invite list, featuring M3GAN and Chanty Beluga, might be the best part of this whole saga. Oh, Ben Affleck is a meme again! And finally, I am staying far away from the genuinely heartbreaking Lindsay Clancy trial itself. But I cannot skip why the internet cannot stop talking about the prosecutor. Specifically, her bows. We unpack the theory, the backlash, and why courtroom fashion is somehow a whole debate now. This week's newsletter: https://popculturemondays.com/2026/08/24/lovesac-drama-hermes-lock-up-shoe-madness-gp-strikes-again/

In this episode, Andrew McNamara, VP of Applied ML at Shopify, returns to unpack how much has changed in agentic commerce since his last episode. Andrew and Liam dig into why agents are becoming "the new front door to commerce," why orders coming to Shopify stores from AI are up 13x, and what's actually happening inside Shopify's personalized shopping agent in the Shop app. They also get into the Universal Commerce Protocol (UCP) and why AI commerce is growing 9x faster than social commerce did at the same stage, how Sidekick's architecture and app extensions work, and SimGym, Shopify's system for training AI shoppers to A/B test store changes before they ever reach a real customer. Key Topics Covered How shopping is shifting from stores and desktops toward agents as "the new front door to commerce" Why orders coming to Shopify stores from AI are up 13x, and why catalog-powered AI search converts twice as well as general AI search Inside Shop app's personalized shopping agent, and how it learns different shopping personas (like shopping for a pet versus a child) Why customers are shifting from keyword searches to natural language queries, and the higher conversion rates that come with it Why Shopify keeps shopping data personalized to the individual user rather than training it into a larger internal model What the Universal Commerce Protocol (UCP) is, and why AI commerce is growing 9x faster than social commerce and 3x faster than mobile did at the same stage The story of Shopify's CEO giving his own Hermes agent a budget so it can send him gifts in the mail Sidekick's app extensions, and how partners like Klaviyo and Loop plugged in at launch Campaign Autopilot's "auto research loop," and its parallels to reinforcement learning SimGym, and how Shopify trains AI shoppers to A/B test store changes before running them on real customers Why Sidekick runs on Anthropic's Sonnet model hosted on Google Cloud, and why that choice is model agnostic Andrew's own habit of shopping by taking pictures throughout the week and searching by image through UCP-connected agents Episode Timestamps: 00:00 - Introduction and welcome 00:29 - What's changed in AI and shopping since their last conversation 01:47 - Agents becoming "the new front door to commerce" 04:16 - Inside Shop app's personalized shopping agent 07:32 - Why data stays personalized to each shopper instead of training a larger model 11:53 - What the Universal Commerce Protocol (UCP) is, and orders from AI up 13x 14:58 - Merchant tooling for tracking AI-driven traffic and conversions 15:55 - The story of Tobi's Hermes agent sending him gifts in the mail 20:48 - Andrew's own habit of shopping by taking pictures and searching by image 26:59 - Sidekick's app extensions and partner integrations 33:02 - Inside Sidekick's architecture: the Sonnet model and knowledge base 35:18 - Campaign Autopilot's auto research loop 38:58 - SimGym: training AI shoppers to test store changes 42:23 - What's next for Shopify's agentic commerce features 44:17 - Where to find Andrew Andrew's Socials: Twitter (X) - https://x.com/DrewCH LinkedIn: https://www.linkedin.com/in/andrewmcnamara1/ Partner Links Upgrade your AI toolkit: https://www.theaireport.ai/ai-executive-pass Subscribe to our free newsletter: https://newsletter.theaireport.ai/subscribe Join the community: https://community.theaireport.ai/checkout/the-ai-report-welcome-gift?coupon_code=WRTH Learn more about your ad choices. Visit megaphone.fm/adchoices

Topics covered in this episode: Web UIs for your reverse proxy Wagtail 8.0 is hot off the presses RISC-V is now officially supported by CPython Django's annual releases make every version an LTS Extras Joke Watch on YouTube About the show Sponsored by Logfire from Pydantic: pythonbytes.fm/logfire Connect with the hosts Michael: Mastodon / BlueSky / X / LinkedIn Calvin: Mastodon / BlueSky / X / LinkedIn Show: Mastodon / BlueSky / X Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Tuesday at 7am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: Web UIs for your reverse proxy Traefik, nginx, and Caddy all sit in front of a lot of self-hosted infrastructure, and all three are configured by hand-editing files. Three active projects put a control plane on top: Traefik Manager (Python + Flask), Nginx UI (Go + Vue), and caddy/ui (React + Node). All three are additive rather than replacements - none of them take ownership of your config away from you - which is the part that matters when the thing has write access to production routing. Traefik Manager is the Python one: Flask 3.1 and Gunicorn for the control plane, a lightweight Go agent for remote instances, currently v1.10.0 with an Android companion app. Nginx UI is a single Go binary at 11.3k stars, with a block-style config editor, an Ace editor doing LLM completion on nginx syntax, and an MCP server so agents can drive it. caddy/ui runs as two containers next to your existing Caddy, reads and writes your Caddyfile directly, and uses Caddy's /adapt API to validate before reload - no Docker socket required. Each one edits the config the underlying server already reads, so your files stay the source of truth and you can drop the UI without unwinding anything. Undo is a first-class feature across all three - timestamped backups with optional Git history, config version compare and restore, Caddyfile snapshots with one-click rollback. Observability is where they diverge: Traefik Manager does CrowdSec and a visual route map, Nginx UI does server metrics, caddy/ui streams access logs over SSE and pulls p50/p95/p99 off Caddy's Prometheus endpoint. Maturity spread is wide - Nginx UI has 11.3k stars, caddy/ui has 4 and was built in a single Claude session - and caddy/ui ships with auth off by default, so set CADDY_UI_USER and JWT_SECRET before it goes anywhere near a public interface. Calvin #2: Wagtail 8.0 is hot off the presses Link: https://github.com/wagtail/wagtail/releases/tag/v8.0 Custom base page models are now supported, so projects aren't locked into subclassing Wagtail's Page as shipped (Matt Westcott). New v3 REST API handles both read and write CMS operations, a first for Wagtail's API. A global registry for permission policies, plus full customizability for the remaining page views via PageViewSet. AVIF and WebP images are no longer auto-converted to PNG by default, a real behavior change to watch on upgrade. Five security fixes: page admin API restrictions, document identification by SHA1 hash, descendant collections in the Documents/Images API, snippet copy permissions, and the page translation endpoint. Formalized Django 6.1 support, and CI now runs on uv with a lockfile. Sponsor: Logfire from Pydantic Your AI agent failed at 2am. Was it the model? A tool call? The database? Most observability tools can't tell you, because they only see part of your stack. Pydantic Logfire sees all of it. One trace across your agents, LLMs, APIs, and database. Down to the infrastructure: services, Kubernetes, and hosts. It's built on OpenTelemetry, with SDKs for Python, TypeScript, and Rust, and it works with any OTel-compatible language. Every prompt, token count, and cost, right next to your vector searches and API calls. You query everything with Postgres-compatible SQL. And so can your coding agent, through the Logfire MCP server. Stop guessing. Read the trace. Pydantic Logfire. AI, it's still just engineering. Visit pythonbytes.fm/logfire today and sign up today. Get 10M records free every month, no card required. You can even click “Onboard with your coding agent” to copy a prompt to have claude or codex integrate Logfire into your app. Thanks to Pydantic for supporting the show. Calvin #3: RISC-V is now officially supported by CPython Link: https://blog.python.org/2026/08/riscv-now-officially-supported/ CPython added RISC-V as a tier 3 platform under PEP 11, specifically the 64-bit Linux target riscv64-unknown-linux-gnu. RISC-V is an open ISA anyone can implement, unlike x86 and ARM, and its market is projected to quadruple by 2032. The RISE Project donated real RISC-V machines for buildbots; the author's work was funded by a Sovereign Tech Agency fellowship. What changes: the port is now a maintained compatibility target, so CPython changes are less likely to quietly break it. What doesn't: no python.org installers, no binary wheel parity for native extensions. Next up: RISC-V runners in CPython CI for pre-merge feedback, then a push toward tier 2, plus architecture-specific optimizations. The ask is testing. If you have RISC-V hardware, build CPython, run your test suite, file what breaks. Tier 3 is the weakest support tier. PEP 11 tier 3 requires a core developer contact and a buildbot, but failures on tier 3 platforms explicitly do not block a release. Saying "ongoing CI/testing expectations" oversells it. The honest bit is "someone is now on the hook for it, and breakage gets noticed," not "it's guaranteed working." Worth the caveat that this is Linux SBCs, not microcontrollers. A VisionFive 2 counts, an ESP32-C6 or Pico 2 does not. Those are 32-bit non-Linux parts where MicroPython is still the answer. Michael #4: Django's annual releases make every version an LTS Starting with Django 2028, Django will move to one January feature release per year, adopt calendar-based version numbers, and support every release for three years. The old distinction between standard and LTS releases disappears, giving teams a predictable annual upgrade path that aligns more closely with Python's own release and support cadence. Every Django release becomes the safe, long-supported choice, so teams no longer need to wait for a specially designated LTS version or absorb two years of changes at once. Each release gets one year of mainstream bug fixes followed by two years of security and data-loss fixes. New releases support the three latest Python versions and add the next Python release during their first year. Calendar versioning begins with Django 2028, followed by Django 2029 and so on. Three Django versions will be supported at any time, giving third-party packages a clearer rolling target. Nothing changes before 2028, and existing commitments for Django 5.2 LTS and 6.2 LTS remain in place. Extras Calvin: The Python docs now document the time complexity of built-in types https://docs.python.org/3.16/library/time-complexity.html Thinking in Python - Bruce Eckel's free book https://thinkinginpython.com/ Michael: prune_uv_pythons.py - Prune uv-managed Python installs, keeping only the newest patch per minor version Runs automatically in my system “upgrade” script: upgrade-output-2026.png Started using Ollama cloud models for my Hermes assistant. Thanks to Jeff Triplett I learned they are not just local models. Joke: The Tao of Programming - Book Seven: Corporate Wisdom

Send us some Fan Mail? Yes please!They're back! Was it the Alien and the Amputee, or the Amputee and the Alien? Who even cares anymore? At least you know it'll be anything but sane or safe. Enjoy. Connect with Nick: His podcast, YouTube, & Twitter. Connect with Hermes: Instagram & Twitter Subscribe, rate us 5, come join in all the other fun we offer, but most of all we hope you enjoy! If you liked this, and want to hear more, give us a follow and let us know! Or maybe you just want to tell us how awful we are? Comments help the algorithm, and we love to see ‘em! And as always, don't kill the messenger. Whiskey Fund (help support our podcast habit!): PayPalOur Patreon & YouTube Support the show

As velhas notícias de sempre, com um humor nunca dantes visto na história deste país, apresentado pelo Rasta, com o melhor do seu entendimento.

As velhas notícias de sempre, com um humor nunca dantes visto na história deste país, apresentado pelo Rasta, com o melhor do seu entendimento.

Hoy te voy a contar una historia que empieza con una idea brillante y termina con una buena dosis de frustración. Resulta que se me ocurrió construir mi propio agente de inteligencia artificial. Lo llamé Anacleto, está escrito en Rust, y la idea era tener un coordinador de agentes que delegara tareas según lo que le pidieras. El tiempo, el tiempo, y un puñado de bugs después, me he encontrado con que estoy aprendiendo mucho más de lo que pasa entre bambalinas que de lo que el agente realmente llega a hacer.Y es que cuando le das una instrucción a un agente de IA —ya sea OpenCode, Claude, Hermes o el que tú quieras— no hay magia. Lo que hay es una coreografía compleja de mensajes que van y vienen, eventos que se disparan, herramientas que se invocan y un modelo de lenguaje que procesa todo después de que el agente lo haya pretratado. En este episodio abro la caja negra y te cuento exactamente qué hay dentro.Te explico el viaje completo de un mensaje: desde que escribes el prompt hasta que obtienes la respuesta. Cómo funciona el streaming, cómo el modelo "piensa en voz alta" con los reasoning events, cómo decide qué herramientas usar con las tool calls, y cómo todo se monta en una batidora que reconstruye la información antes de enviarla al modelo. Y sí, el modelo no razona, simplemente predice. Pero la gracia está en que ahora no solo habla, también actúa. El modelo recibe una lista de herramientas disponibles y decide por sí mismo cuál usar según el contexto. No es programación tradicional de "si pasa A, usa la herramienta A". Es el modelo el que, basándose en su entrenamiento, predice qué herramienta le dará la mejor respuesta.Y luego está el problema. El bucle. El modelo devuelve tool calls, el agente ejecuta las herramientas, vuelve a llamar al modelo, y así una y otra vez hasta que se alcanza el máximo de pasos y todo se para. No sé si es un problema de cómo he definido las llamadas, del motor o de las skills. Llevo días toqueteando, probando, cambiando cosas, y todavía no tengo claro dónde está el fallo. Lo que sí tengo claro es que unas skills bien preparadas dan mejores resultados que un modelo más potente. Y esa lección, por sí sola, ya ha valido la pena. Porque al final, la calidad de las instrucciones que le das al agente importa más que el modelo que uses por debajo.Te cuento también por qué elegí Rust y Ratatui para la interfaz, en lugar de lo típico en Python o TypeScript. Spoiler: me lié más con el lenguaje que con el objetivo final, como suele pasar. Y te presento a los subagentes de Anacleto: uno para el tiempo, otro para noticias, otro para chistes, otro para investigar... cada uno con su propia personalidad y herramientas.Capítulos del episodio:Capítulos del episodio:0:00 - Introducción: abriendo la caja negra de los agentes de IA2:19 - El viaje de un mensaje: del prompt al modelo de lenguaje3:49 - Arquitectura de agentes: coordinador, subagentes y la TUI en Rust6:11 - El motor como director de orquesta: roles system, user, assistant y tool8:27 - System prompt y optimización: delegación en subagentes especializados11:13 - Streaming y server-sent events: cómo se construye la respuesta token a token14:20 - Razonamiento y tool calls: el modelo predice, no piensa, pero actúa17:59 - El bucle de herramientas: el problema de la delegación infinita en Anacleto20:56 - Skills, subagentes desechables y sistema de permisos25:16 - Demostración práctica de Anacleto: tiempo, chistes y noticias29:22 - Conclusiones, redes y despedidaMás información y enlaces en las notas del episodio

Always Give The Honor And Glory To God! Pointing To Him When Those Around Us Want To Praise Us Acts 14:8-13 8In Lystra there sat a man who was lame. He had been that way from birth and had never walked. 9He listened to Paul as he was speaking. Paul looked directly at him, saw that he had faith to be healed 10and called out, “Stand up on your feet!” At that, the man jumped up and began to walk. 11When the crowd saw what Paul had done, they shouted in the Lycaonian language, “The gods have come down to us in human form!” 12Barnabas they called Zeus, and Paul they called Hermes because he was the chief speaker. 13The priest of Zeus, whose temple was just outside the city, brought bulls and wreaths to the city gates because he and the crowd wanted to offer sacrifices to them.

Hace dos años la pregunta era cuál chat de inteligencia artificial usar. Hoy es otra: ¿le seguimos escribiendo a un chat o ya le podemos delegar trabajo a algo que lo hace solo? En este episodio nos sentamos con Aníbal Ardid, programador y amigo, que hace cinco meses tiene corriendo Hermes: el agente de código abierto de Nous Research que se conecta a WhatsApp, Telegram o Discord, mantiene memoria entre conversaciones y crea sus propias habilidades cuando resuelve algo difícil. Hablamos de casos reales —desde las noticias que le llegan cada mañana hasta la cobranza de una PyME—, de cuánto cuesta realmente ponerlo a funcionar y, sobre todo, de dónde hay que tener cuidado. Porque acá no hay papelera de reciclaje. También presentamos un nuevo curso de Hermes Agent que va a estar disponible para los miembros de Pioneros PRO dentro de la plataforma. La barrera técnica bajó muchísimo. La que queda es saber qué delegar. Si querés pasar de entender la IA a aplicarla en tu trabajo o negocio, conocé Pioneros IA. Origen

I stick my neck out on this Black Iron Prison Intercept, or do I? I'll take you on a journey that uncovers the Craft as a lived Hermes cult, revealing an esoteric Gnosis where the Lodge floor serves as a ritual cartography of the soul's entrapment within the material prison of the Demiurge. By receiving the Light from the East, the initiate awakens a divine spark required to transcend this material lie and return to the true, transcendent Deity. These spiritual mysteries are woven into the Cosmic Matrix of star lore, where the precession of the equinoxes and planetary elevations rhythmically dictate the rise and fall of global religious eras. Finally, the high degrees bridge the gap between antiquity and the Middle Ages, identifying Freemasonry as the mystical continuation of the Knights Templar through a chronological synchronization known as the Mirror of Time. Get The Occult Elvis: https://amzn.to/4jnTjE4 Virtual Alexandria Academy: https://thegodabovegod.com/virtual-alexandria-academy/ Gnostic Tarot Readings: https://thegodabovegod.com/gnostic-tarot-reading/ The Gnostic Tarot: https://www.makeplayingcards.com/sell/synkrasis Homepage: https://thegodabovegod.com/ Patreon: https://www.patreon.com/aeonbyte AB Prime: https://thegodabovegod.com/members/subscription-levels/ Voice Over services: https://thegodabovegod.com/voice-talent/ Support with donation: https://buy.stripe.com/00g16Q8RK8D93mw288 Merch store: https://aeonbyte.creator-spring.com/ Equipment Wishlist: https://www.amazon.com/hz/wishlist/ls/2WEJ2CCWHALZB?&sort=default   Intro concept, visual direction, and AI-assisted creative development in collaboration with Arturo Pérez E. youtube.com/@333amTV 333am.tv Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us some Fan Mail? Yes please!We know that none of you asked for it, but you're unfortunately stuck suffering alongside solo Captain Hermes this week. Seems life has been a little bit of a bully as of late, but thankfully we're no strangers to a few sadness sprinkles garnishing this show dear listeners. The sun always rises eventually, shows the way out of the valley, if only just in the nick of time. Until next time friends, cheers. Subscribe, rate us 5, come join in all the other fun we offer, but most of all we hope you enjoy! If you liked this, and want to hear more, give us a follow and let us know! Or maybe you just want to tell us how awful we are? Comments help the algorithm, and we love to see ‘em! And as always, don't kill the messenger. Whiskey Fund (help support our podcast habit!): PayPalOur Patreon & YouTube Connect with Hermes: Instagram & Twitter Support the show

Amazon keeps raising the bar. Steve Dennis and Michael LeBlanc open with the retailer's blockbuster quarter: massive gains in AWS and advertising, staggering AI capex, and retail revenue up 16% year over year, up from 12% last year. Third-party sellers now drive more than 60% of the business, and Citi pegs underlying GMV growth near 10%, roughly double the industry average. Amazon's B2B division alone now tops $60 billion, bigger than all but eleven U.S. retailers. Then the hosts dig into the agentic commerce numbers Amazon disclosed as Rufus folds into Alexa shopping, why sample bias demands caution here, and how grocery momentum is turning Amazon into a mega market-share threat.  Then: Shopify's revenue up 32%, and the tale-of-two-cities reality that a handful of giants now drive nearly all e-commerce growth. A mid-year check on Steve's Prediction #8 — luxury's future won't be evenly distributed. LVMH, Kering, and Capri lag on China softness and war induced Gulf weakness, while Hermès, Ralph Lauren, Richemont, and Zegna keep delivering outsized results. Live from the CommerceNext Growth Show: Kartik Hosanagar. He's Wharton's John C. Hower Professor of Technology and Digital Business, author of A Human's Guide to Machine Intelligence, and co-founder of Bliss Labs. His argument: the biggest shift in retail isn't a new technology or channel. It's a new customer. Treating AI as another distribution channel is the same mistake movie studios made with Netflix. There's no marketing science for AI yet. $9.99 pricing, scarcity, social proof — a model may not respond to any of it. Kartik walks through the Ridge wallet case: invisible in ChatGPT's "gifts for men" results, then the default recommendation within three weeks, complete with a hallucinated promotion. Every retailer faces the same fork: efficiency or meaning. The middle is the most dangerous place to stand. Kartik also details the simulation sandboxes that let brands test counterfactuals in a day instead of eight weeks, why you can't just ask an LLM why it picked a brand, and the three attitudes retailers need now: curious, experimental, collaborative Back in studio: Wayfair's encouraging quarter and Steve's change of heart, Warby Parker's mixed report as store count passes 400, tariff rebates ($100 billion of $160 billion already repaid, more tariffs looming), and whether live selling has hit its tipping point with QVC out of bankruptcy and Whatnot valued at $20 billion. About UsSteve Dennis is a strategic advisor and keynote speaker focused on growth and innovation, who has also been named one of the world's top retail influencers. He is the bestselling author of two books: Leaders Leap: Transforming Your Company at the Speed of Disruption and Remarkable Retail: How To Win & Keep Customers in the Age of Disruption. Steve regularly shares his insights in his role as a Forbes senior retail contributor and on social media.Michael LeBlanc is a senior retail advisor, keynote speaker and media entrepreneur. Michael has delivered keynotes, hosted fire-side discussions hosted senior retail executive on-stage in 1:1 interviews worldwide. Michael produces and hosts a network of leading retail trade podcasts, including The Remarkable Retail Podcast, The Voice of Retail, The Food Professor, The FEED powered by Loblaw and the Global eCommerce Leaders podcast. He has been recognized by the NRF as a global Top Retail Voice for 2025 and 2026 and continues to be a ReThink Retail Top Retail Expert for the fifth year in a row.

An old Linux box powers down for the last time as we unwind its history, and the entire show, back to the beginning.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:Web Boost — Send us a boost via sats or USD

https://youtu.be/eUqMjIq3r2U Brian Hong, Founder of Infintech Designs, Flowbots.ai, and BigEasyData.ai, is driven to Build AI Revenue Engines that create freedom by helping businesses generate more leads, sales, and revenue while increasing the productivity of their teams. By combining SEO, AI automation, business intelligence, and human expertise, Brian helps companies improve their marketing, systemize their operations, and enhance their people with AI rather than simply replacing them. In this conversation, Brian introduces his Team Building Framework—Attract and Assess A-Players, Productize and Systemize, Hire People Who Can Follow Instructions, and Enhance with AI Capabilities. He explains how placing people in roles where they can thrive creates stronger teams, why clear processes and blueprints make it easier to scale, and how AI can enhance employees by increasing their productivity instead of replacing them. Brian also discusses how SEO is evolving with ChatGPT and Google AI Overviews, why businesses need to build brand authority and entity breadth, and how business intelligence can identify the specific areas where AI can create the greatest revenue impact. — Build AI Revenue Engines with Brian Hong  Good day, dear listeners. Steve Preda here with the Management Blueprint Podcast, and today my guest is Brian Hong, the founder of Infintech Designs, Flowbots.ai, and BigEasyData.ai. These are New Orleans-based companies, including a digital marketing agency, focused on building more leads, more sales, and more exposure online with strategic SEO and digital marketing strategies. Brian, welcome to the show.  Thanks. Thanks for having me.  So you have quite a portfolio. I also read on your LinkedIn page that you invest in other companies, and then you support them as well. So it sounds like you have a lot of irons in the fire. But before we get into all that, my question to you is, what is your personal “Why,” and how are you manifesting it in your business, or businesses?  Why do I work so hard? Why do I want to build all these companies? To me, money creates freedom. I’m trying to bank as many freedom points as I can to live life on my own terms, and to do and have experiences with the people I love. That’s my “Why.”  Wow. How does that manifest in your businesses?  That’s a good question. I'm building AI automation to get my time leverage, to create duplication, so I can 10x the productivity of my employees. Not hire more people, but keep my A-players.Share on X Because if I have an A-team, or can cultivate an A-team, then I think I can bank more freedom points at a more efficient and scalable process. Don’t hire more people. Hire people intentionally, and 10x their productivity. That would be a domino effect to align with gaining more freedom points.  So what’s the maximum number of freedom points? Is it like a 100-point scale? What does it look like to have 100 freedom points?  It’s working because I want to, not because I have to. Because I love working. It’s living life on my own terms and focusing my time on things that I want to do. For instance, I have a house cleaner. I don’t want to clean the house. My time is better spent doing something else that I passionately want or love to do. Unless I loved cleaning houses. That’s fine. Maybe that’s therapeutic for some people. But it allows me to live life on my own terms. Money is the key that unlocks those opportunities to live life on my terms.Share on X  How do you maximize your freedom points? What does it look like when your freedom points are maxed out?  Then I’m working because I want to, not because I have to. I still want to work. I still want to build. I love building things. I’m not the type of guy who wants to go to the beach, sit on the beach, and do nothing all day. I might do that for an hour. I’ve got to be doing something. I have to be building. It’s just the way I’m programmed. Maybe I don’t want to work as much as I do now, but I can’t imagine a life doing nothing. To me, that doesn’t serve a purpose.  Yeah.  I like building. I love contributing. I love being a part of the equation of success. It's just fun to me. I get gratification out of it. I like creating jobs.Share on X I like creating communities. I like meeting people. It’s interesting to me. It fills my bucket. That bucket is filled to then, I mean, try and give me freedom points to then go spend some personal time creating experiences with the people I love, mainly my wife and my child.  That’s amazing. Okay, let me take a step back. You have multiple companies. You have Infintech Designs. You have a couple of AI companies as well. How does that portfolio work?  I essentially do this. I have a construction company as well, TurnKey Renovators, a GC for residential. I have a couple of e-commerce companies. Really, I’m doing the same thing over and over. Earlier in my life, I used to wait tables. My takeaway from that experience, from working at Applebee’s to fine dining, is: How many different dishes can you make with the same ingredients?  With my knowledge, my resources, and my skills, how many different things can I do with them? This is my version of it. All those companies, by the way, I’ve never stroked a check. I pretty much say, “Give me half your company, and I’ll help you grow it.” I’ve never cut a check because I give them what they really want, which is the outcome they want to achieve with that money. They want the money to help grow their company. What if I just help you grow your company?  So I ask for an equal seat at the table, and in exchange, I’ll install what I know and go grow it. I’m essentially doing that over and over. My time is spent on high-level decisions, systems, processes, automation, and marketing.  Yeah. Love it. You know, I always wondered about marketing agencies. If they really know how to grow sales, why are they not doing it for themselves, and why are they offering it to others? It sounds like you are drinking your own Kool-Aid, and you are using your own product.  Yeah. Definitely. We practice what we preach. I see some companies doing that because there’s also an abundance mindset. If I can do it for me, and I can do it for someone else, let me just create another revenue stream and do it for both of us.  Okay. That makes sense. This podcast is all about frameworks. I wonder, what is a framework that you have created or discovered that helps you be effective in what you do, and that you could share with the audience so they might also find a way to leverage it in their business?  I guess it depends on many things. From team building, it may be doing a DiSC Assessment and Kolbe tests to make sure we place each person in a situation where they thrive. Sometimes when things aren’t working, maybe the owner, the manager, or the person needs to look in the mirror and say, “This is my fault, not the employee’s fault.” “I didn’t set them up for success.” “I’m trying to stick a round peg into a square hole.” “I’m trying to put them in a position that they may not thrive in, and they’re not programmed to naturally do.”  So we’ll sometimes do these assessments, whether it’s a personality clash or a personality type, and make sure we place them in a role where they’ll thrive. So that could be a framework. Setting the employee up for success. Once we do have an employee, the better the plan, the better the outcome. So try to productize and systemize everything we do. If we have a blueprint people need to follow, then I can spend more of my time not finding specific talent and skills, but finding people who can follow instructions.  Because if we have the blueprint, and this is what you need to do, then I can get a lower-wage worker who doesn’t have a specialized skill. That specialized skill will be developed because I’m handing you the blueprint of what you need to execute.  So that’s the three-step framework. Set employees up for success by delegating tasks that fit their personality. Then productize and systemize. Then find people who can implement. To what extent does that work in the AI age? Are these people who just execute tasks according to instructions still solving the problems, or is that no longer working because of the fast pace of change?  It depends on what the activity is, but generally, and more often, it’s human enhancement, not human replacement. So instead of saying, “Let’s just say I have a web developer, and I get more business, so I need to hire a second web developer, web designer, programmer, then a third one, then a fourth one.” The new version today is: keep the one you have, and instead of hiring another human, 10x their productivity with an AI-driven solution.  Allow them to do more with less. Allow them to duplicate their activities so they focus on their revenue-generating activities, on the decisions and activities that AI cannot do, as of yet. That’s how we turn an A-player into an A-plus player. That’s how we turn a B-player into an A-player. That prevents me from having to hire people I don’t want working for me, which are C-players.  Isn’t there a risk that when you have too few players, even if they are A-plus, there’s too much dependence on a single person? Well, I mean, we’ll hire more than one. I have a seven-person leadership team. I have two main managers. I have a department head and then an associate, so there’s always some level of duplication. Then you have an AI layer in between that. So between all of that, yes, if someone gets struck by lightning or someone is sick, the ship needs to keep sailing. We can’t shut down the business.  Love it. What is driving growth in your business?  Relationships. SEO. Ranking in LLMs. Google AI Overviews. ChatGPT. I’d say those are the main pillars that are creating opportunities. I also own a conference, rockstarsconference.com. We’re entering our 15th year. That’s network value, positioning of expertise, and relationship building. Things that AI cannot replicate. Human connections. Then I also do SEO for myself, right? Our last handful of leads that came in through Flowbot.ai. This one particularly stands out. There was this roofing company that sent me an email. We actually talked on the phone.  He really blew up my ego and talked about how great I was. I thought he was a referral. I’m like, “Man, why does this person think I’m so great? It’s really odd.” I said, “Can I ask how you heard about me?” He’s like, “Oh, I spent the last two hours talking to Gemini because I discovered you through Google AI Overviews, and it just told me you’re great.” So I’m like, we’re entering a new world. That is a referral. It’s not from someone I know who spoke highly about me. It’s through a language model. Gemini said I was great, so this person believed I was great.  That’s amazing. That’s very cool. So you have these four pillars. I love it. Relationships, SEO, GEO—or whatever AI referrals you want to call it—and the conference. Would you bucket the conference into the same category as relationships, or is that more of a proactive way of creating a community beyond personal relationships? Is it the same thing?  It checks a lot of boxes. A few of my business partners were born out of that conference. New opportunities and getting clients were born out of that. Knowledge gain. Knowledge transfer that I gained to go implement. So it checks all the boxes. I’m gaining knowledge. I’m gaining relationships. I’m gaining partners. I’m gaining new systems. New processes. I’m gaining sparks, catalysts, and kind of tracks to go down and explore. So it kind of checks a lot of boxes.  Yeah. Love it. So the SEO and GEO piece, is it something that is static, or is it dynamically changing all the time?  Dynamically changing. It’s SEO 3.0, right? SEO is dead. It’s dead if you’re doing SEO the old way. Getting ranked in ChatGPT, the LLMs, and Google AI Overviews. Let’s just say it’s everything you do with SEO, plus more now because you have ChatGPT citations. You have sources that these LLMs frequently query. Then, in the world of SEO—the search engine Google—you have broad core updates. Broad core updates. Updates to the algorithm. That’s pretty much what it means.  They also occur within LLMs. So it’s pretty much do SEO, plus more. What is the plus more? If I had to distill it, it’s get brand mentions and actually become a brand. Do podcast interviews like this. Get press releases. Get write-ups. Be on SoundCloud. Do social media. Post on LinkedIn. Get write-ups in news and media publications. Appear in Google News. Have a website that has dynamic content. Create your topical map. The list keeps on going. Build your brand. That’s the SEO of today. That will put you in a position to get mentioned in ChatGPT and Google AI Overviews.  Yeah. That’s fascinating. I’m just thinking about my business. We had a website that actually got some referrals from AI. We even got some clients last year. Then we split the website into two websites, and things dried up. It was kind of an interesting situation. We still had the same amount of content, but we moved it to a different domain, and it did not register the same way. Do you see that often?  Yeah. You want Google and LLMs, at the most basic level, to have a better understanding of who you are, what you do, where you do it, and the services you offer through having something called breadth of entities. Entities are the nouns of the internet. Entities are a signal. A language. All Wikipedia pages are entities, but not all entities have Wikipedia pages.  They’re the nouns of the internet. It’s a layer of clarity for search engines, algorithms, and LLMs to understand who you are, what you do, and where you do it. It’s not the only signal, but at a foundational layer, that should be implemented. So what we’re talking about is creating content. What does that mean? Create content on your website. Don’t create content for the sake of creating content because anybody can create content with AI.  Create intentional content that satisfies the user and aligns with certain algorithmic components, such as Google's E-E-A-T: Experience, Expertise, Authoritativeness, and Trust.Share on X Everything we’re talking about is SEO. You want optimized content. You want pages. The first 150 to 200 words are important. The last 150 to 200 words are important. Add tables. Add bullet points. Make sure your content is clear. Position yourself with authority.  Have links pointing to it. Interlink it. These are all SEO kinds of activities. So SEO is alive and well, but there are new layers you need to add on top of that to create optimal positioning in Google AI Overviews and ChatGPT.  Yeah. I saw one of your videos on your LinkedIn page where you actually explained what is the wrong way to do SEO and the right way to do it. I think you had your alter ego disputing with you. Yeah. That was pretty funny. So that sounds like a lot of work. Can you delegate that to AI agents to do this kind of stuff?  Yes and no. It’s not like I just click a button and step away. It takes a human-in-the-loop system, and that’s what we’ve developed. So yes, I don’t need as many humans, but I still need humans.  So you said that in one of these companies you have 100 AI agents working on SEO, creating SEO impact for your clients. What is it that the AI agents can do, and what is it that you still need the human to do?  The AIs collect information, rapidly digest it, find patterns, perform pattern analysis, do research, and create content briefs. But there needs to be thought leadership. AI is very directional. It’s, “Go do this,” but we need a human to point it in the right direction. We need to create guardrails. We need to create a source of truth. It needs to know where to look for the right information. It needs direction on what to do with this information.  How should I digest it? How should I format it? How should I break up the heading tags? It needs that element where it can go do it, but the human is part of that last-mile conversion. So maybe the AI does zero to 80, and maybe the human does the 80 to 100.  Yeah. That’s very interesting. So what’s one thing that you’re actively trying to figure out in your business?  How to automate everything. Everything is a complete agentic workflow that is proactive, not reactive. Where I have a board of advisors every day looking at how they can serve me.Share on X Identifying the patterns in my life that I need to stop doing and they can do. Developing skills, if they don’t have them, to go execute that. Having a feedback loop to constantly improve.  This has become superintelligence. Agentic work, which is kind of here. That’s what maybe some people have heard about: OpenClaw. Then you have something called a Hermes agent. These things are here, but they need to be trained. They need to be fed the right information and given the right guardrails. But it has begun, and I’m trying to go down that journey.  Isn’t that overwhelming to think of all these details, managing these agents, and making sure they’re not going rogue or getting confused by what every one of them is doing?  It’s overwhelmingly exciting, but not overwhelmingly bad, because this is the worst it’s going to be, and it’s mind-blowingly good. It’s overwhelming because it’s so amazing and so awesome. It’s garbage in, garbage out. I am the architect trying to create the blueprint on how to control these agents. To me, that’s incredibly exciting and incredibly amazing. To be a part of this time in history, it’s like that feeling when I dropped out of college and this thing called the internet was born in 2000.  I knew the world wasn’t going to be the same again. That same feeling came again in 2022 when I heard about ChatGPT. I created my first AI company in 2023. I said the world isn’t going to be the same again. I have the same feeling I had in 2000, but times 100. So to me, it’s overwhelming, but overwhelmingly exciting.  Yeah. So what does one do if they want to get, okay, let’s say it’s me. I use ChatGPT actively, but I’m not building AI agents. What would you recommend that I do? How do I even get started?  What is your pain point? Is it communication? Is it writing emails? Is it reporting? It kind of depends, right? You can customize it based on your pain points. Where are you spending your time, and where should you be spending your time?  Yeah. That’s a good question. I think the first question is, what should I even use it for?  I can give you some ideas. A handful of things I use it for, but not limited to. I can give you use cases that we do for other people. So to construction company, inbound and outbound calls. We never miss a phone call. We answer every single one. We qualify the lead. We seamlessly connect to a CRM. We know if it’s a new customer or an existing customer. If it’s an existing customer, we can look at their history. We can now have an intentional conversation through voice.  I can clone that. I can qualify them. I can book the appointment. I can put it on the salesperson’s calendar. I can receive a text message. I can read the message. I can set the salesperson up for success. I can then pull their address. I can then pull their demographics. I know their net income. I know their affinities, their interests, their hobbies. I know whether their house has a pool. I know the number of bedrooms and bathrooms. I know their credit score. I know their disposable income.  My layer of intention is going to be very different if I have all of this data to interact with that person, either through a voice agent, an AI agent through SMS, through email, through voice, or I can pass that information to the salesperson so they know what they’re walking into. They know the opportunity. So we have lead scoring. We have prioritization. That's one thing we could do: taking over your appointment setting and lead qualification.Share on X Then we can create reporting.  Then we can create trend forecasting. We can turn your business into a mathematical equation. We know 10 leads equals 3 appointments, equals 2 shows, equals 1 person who shows up, average ticket $10,000. We know that formula. Then we say, “Well, we need to feed it more.” The math equation is 10 equals $10,000. Whatever that math equation is, that’s the position I want to be in. I want to make data-driven decisions. So AI is an accelerator to achieve that.  What’s at the top of the funnel? Is it advertising?  Yeah. It could be Facebook Ads. Google Ads. SEO. It kind of depends. Do you want expensive and fast, or do you want cheap and slow? Expensive and fast. When I say expensive, I mean cost per acquisition and cost per visibility. That’s going to be Google Ads, Facebook Ads, LinkedIn, TikTok—anything where you’re buying media. That’s going to be expensive because you have to pay on a per-click basis or a per-impression basis. The cheap and slow is going to be something like SEO.  Do the work now to feel the impact later. It’s signal building. You don’t have to pay on a per-click basis. You don’t have to pay on a per-impression basis. But you have to build signals. Those signals cost money. You have to do the work, but it’s not going to happen overnight. You do the work now to feel it later. It’s an investment. So ideally, you do both. You take a blended cost per acquisition because your SEO channels almost 99% of the time are going to have the lowest cost per acquisition. But speed is going to come from Facebook Ads and Google Ads. So you take the best of both worlds with a blended cost per acquisition.  Is the formula the same for business-to-consumer and business-to-business companies, or is it different?  Yeah. The algorithm doesn’t change. The algorithm is the algorithm. The messaging is different, but it’s the same across the board. The concepts are the same. There are some things, like in medical. Google specifically has something called YMYL—Your Money or Your Life. That’s going to be finance businesses, payday loans, and medical. Those things have a high impact on your life.  So they may have a little more scrutiny, and it might be harder to build trust and validation because of the category you’re in. In that aspect, yeah, the formula is a little bit different. But the activities you engage in are the same. You need to build content. You need to build your brand. You need to build links. You need to optimize your website. You need to create on social media. It’s all the same.  Yeah. Fascinating. So who is the ideal client that you would like to respond to this podcast?  Man, I get asked that, and I’m having more difficulty because I have a lot of companies in my portfolio, right? I have, as of now, about seven companies. I’d say companies that want to automate. Why do you want to automate? The first step of that is maybe building intelligence—business intelligence. You can’t improve what you can’t measure. What if we build a system where maybe you take two steps back to take 10 steps forward?  The two steps back is building business intelligence through AI-driven systems to have segmentation and attribution on exactly what’s happening. How many leads are you getting? Where are they coming from? What is your workflow? Create the math equation. Now we have a measurement. We have a benchmark. Now we can build custom AI agents to say, “This is what we need to focus on first.” So we have our foundational layer, our source of truth.  Maybe that’s a good first step, so you’re not doing a spray and pray. You can say, “Now I know what I need to do. Now I know where my problems are.” Let’s remove the emotion of, “I think.” It now becomes, “I know this is a problem.” Now let’s zoom in and say, “Well, how do we solve this problem?” Are leads the problem? Or is it connecting to the leads? Is it showing up to the appointment? Is it closing the deal? Are we closing deals, but the average ticket is low?  If we close one deal, is it upselling to a second deal? What is the one-year value? Lifetime value? First transaction value? If we don’t know that, then how do we create a math equation of success? How do we know what bucket we need to feed? How do we know where the problem is or isn’t? If we do know where it is, then we can say, “Let’s build a second AI agent.” How do we augment and enhance maybe lead-to-connection rate? Let’s build an SMS agent.  A voice agent. An outbound agent. Let’s build nurture and upsell. Let’s follow up in perpetuity, forever. Let’s tackle that first because we have clear, data-driven insights showing this is a problem. I would say people who want clarity on where their problem is, or maybe they know where their problems are. Then that could be a starting point. So it’s hard for me to answer because I’ve got my hands in so many different buckets.  I’m top of funnel. I’m middle of funnel. I’m bottom of the funnel. I’m top of funnel. Introduction. Brand. Product or service. Google Ads. Facebook Ads. SEO. GEO. I’m middle of funnel. Turning visitors into customers. That’s follow-up AI systems. That’s operational efficiencies. That’s touchpoints. That’s nurturing. I’m bottom of funnel. I’m business intelligence. Segmentation. Attribution. I can help with all stages. I just need to talk to businesses. Businesses that want to grow and generate more revenue. That’s my audience.  Love it. Love it. So if you have a business that wants to grow and generate more revenue, then make sure you check out Brian Hong on LinkedIn. Where else should people go if they want to learn about your companies?  Yeah. I’ve got Brian Hong Digital on Instagram. I’m trying to build my own personal brand. I’m about to relaunch some videos again. I’ve been busy with another acquisition of another marketing agency. I’d say check out the socials or send me an email through Flowbots.ai or InfinTech Design.  Okay. Sounds good. So check out Brian. I mean, that’s pretty amazing. The complexity that you’re managing. Not just the number of companies. The number of investee companies you’re in. The products you’re building. The conferences. It’s kind of mind-boggling how you’re managing that complexity. But I guess you have a couple hundred AI agents at your service. If you’d like to learn more and explore Brian’s products, go to his LinkedIn page.  Then you can connect to his different companies from there. If you enjoyed this conversation, make sure you stay tuned because every week I bring a couple of amazing entrepreneurs like Brian who will open your eyes to the opportunities ahead of you. So thanks, Brian, for sharing your knowledge and insights. Thanks for listening. Thanks, Steve. Appreciate it. Important Links: Brian's LinkedIn Brian's  website

FIRST 54:00: Spoiler-Free Review with our See It/Skip It Verdict AFTER 54:00: Full Spoiler Review It's another edition of See It or Skip It and this time Ian is joined by JDG, Juleen and Hermes as they swing headfirst into Spider-Man: Brand New Day — Tom Holland's latest outing as Peter Parker and the beginning of a very different chapter for the MCU's resident wall-crawler. But can Spider-Man really have a brand new day after No Way Home changed everything? Ian, JDG, Juleen and Hermes suit up to explore whether this fresh start finally gives us the more grounded, street-level Peter Parker fans have been asking for — or if the wider MCU once again proves impossible to escape. Does Brand New Day make good on the emotional consequences of Peter being forgotten by everyone he loves? Is Tom Holland finally being allowed to stand on his own as Spider-Man, or does a supporting cast featuring Hulk and Punisher threaten to turn his movie into another Marvel crossover? The gang dig into Holland's performance, the new status quo, the villains, the action, and whether the film remembers that the best Spider-Man stories aren't really about saving the world — they're about Peter Parker desperately trying to hold his own life together. What should a Spider-Man film look like after multiverses, returning villains and three generations of Spider-Men? Can Marvel genuinely go smaller again, or has the franchise become too big to ever truly return to the neighbourhood? All this and more in this week's See It or Skip It review of Spider-Man: Brand New Day — and of course, Ian, JDG, Juleen and Hermes will let you know if you should SEE IT or SKIP IT.

A.M. Edition for July 29. Oil prices rise after Iran launches a surprise missile attack on U.S. forces. Plus, Europe's luxury brands try to move past years of sluggish demand. And as Meta spends big on its AI transformation—technology CEO Mark Zuckerberg says the U.S. should help to accelerate—Journal reporter Meghan Bobrowsky says a host of lawsuits could cost it billions. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This episode begins with a short practice and shares from EA community members. For the week ahead forecast, skip to 27:48.This week... make choices that are intentional, and direct your attention in ways that consider the vaster landscapes your experiences are situated within. What growth edges are you pushing against that, if you keep pushing, will expand growth for the world around you? What fears are keeping you stagnant that, if transformed, could help the world around you become more unstuck?This week-ahead reading for July 27-Aug 2, 2026 is an excerpt from this week's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Somatic Space class⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ with Renee Sills. For the full-length forecast and embodied practice for this week, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠purchase the recording here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To see the chart of the moment discussed in this episode, ⁠⁠⁠click here⁠⁠⁠.EA LIVE EVENT ANNOUNCEMENT!! Renee will be in the NYC area in early August and would love to see you! More information and registration links will be available next week, but please mark your calendars now for August 4 (live event with myself and dancer/astrologer J. Bouey) and August 9-10 for an EA Pop-Up: Astrology for Collective Care in Williamsburg. ✨✨✨UPCOMING AT EMBODIED ASTROLOGY: