Podcasts about Codex

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Chris is joined by Hamilton In this episode, they discuss; GW Autumn reveals, Necromunda RPG, Warmachine upcoming releases, Trench Crusade Carcass Front, and paint. Sign up to back Eat the H.I.V.E. Get 10% off at Baron of Dice!   Music by Muzaproduction from Pixabay

We are so back, baby.  And so are the Space Marines.  So sorry for the extended time between episodes.  We have had a LOT of travel and I hope you’ve … Read More

The second 11th Edition codex has landed, and it's full of poster boys in power armor! In this episode, we review the brand new Space Marines codex. Everything about this codex is big - big page count, big unit roster, and big changes to how the army plays. We dig into the returning Combat Doctrines system, look at the new detachments and how they can be used to build a variety of marine armies, and examine the changes to all the units in the book. Who gets the biggest glow-up, who takes the hardest hit with the nerf bat, and who serves a completely different roll now? It's a big book, so this is a big episode! Thanks to Games Workshop for providing us with a copy of the codex to review! Link: Arbitor Ian - The Origins of the Primaris Space Marines: https://youtu.be/zPEjw_tWwpc?si=jCyaIP3vAlbIH4gG Link: Arbitor Ian - Why Do People Love to Hate Primaris Marines? https://youtu.be/x4oW6CzIsIE?si=j94euPbqFvPY7eDJ Link: Arbitor Ian - Are the Salamanders of Warhammer 40K Black? https://youtu.be/tgeJS_4xpLQ?si=2NVS1-rghKRzrz-l Support Preferred Enemies on Patreon: https://www.patreon.com/PreferredEnemies Buy Preferred Enemies merch: https://www.preferredenemies.com/merch Preferred Enemies on BlueSky: https://bsky.app/profile/preferredenemies.com Music: "The Whip" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ #AdWIP #New40K #WarhammerCommunity Learn more about your ad choices. Visit podcastchoices.com/adchoices

Podcasting 2.0 Episode 271 - "Foot Terminal" Adam & Dave have their SCBA's on and go deep into index refactoring and ad loads! ShowNotes ------------------------------------------------------------------------------------------------------------------------------------- 00 -

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Ratified in 1788, The U.S. Constitution outlines the powers of the three branches of government and establishes the rights of all Americans. The document united the 13 independent states in a spirit of compromise and set forth the official viewpoint of a newly unified nation. Its most significant feature are the amendment provisions. The Constitution of the United States items at https://amzn.to/4tVLdaV The Declaration of Independence items available at https://amzn.to/4dSFy0E ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The Declaration of Independence & The Constitution of the United States, read by Boyd Gaines (Random House Audio, Compact Disc, 2007). See omnystudio.com/listener for privacy information.

Ratified in 1788, The U.S. Constitution outlines the powers of the three branches of government and establishes the rights of all Americans. The document united the 13 independent states in a spirit of compromise and set forth the official viewpoint of a newly unified nation. Its most significant feature are the amendment provisions. The Constitution of the United States items at https://amzn.to/4tVLdaV The Declaration of Independence items available at https://amzn.to/4dSFy0E ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The Declaration of Independence & The Constitution of the United States, read by Boyd Gaines (Random House Audio, Compact Disc, 2007). See omnystudio.com/listener for privacy information.

September 17 is Constitution Day & Citizenship Day, an American federal observance celebrated annually to recognize the signing of the U.S. Constitution in 1787 and to honor those who have become U.S. citizens. Ratified in 1788, The U.S. Constitution outlines the powers of the three branches of government and establishes the rights of all Americans. The document united the 13 independent states in a spirit of compromise and set forth the official viewpoint of a newly unified nation. Its most significant feature are the amendment provisions. The Constitution of the United States items at https://amzn.to/4tVLdaV The Declaration of Independence items available at https://amzn.to/4dSFy0E ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The Declaration of Independence & The Constitution of the United States, read by Boyd Gaines (Random House Audio, Compact Disc, 2007). See omnystudio.com/listener for privacy information.

September 17 is Constitution Day & Citizenship Day, an American federal observance celebrated annually to recognize the signing of the U.S. Constitution in 1787 and to honor those who have become U.S. citizens. Ratified in 1788, The U.S. Constitution outlines the powers of the three branches of government and establishes the rights of all Americans. The document united the 13 independent states in a spirit of compromise and set forth the official viewpoint of a newly unified nation. Its most significant feature are the amendment provisions. The Constitution of the United States items at https://amzn.to/4tVLdaV The Declaration of Independence items available at https://amzn.to/4dSFy0E ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The Declaration of Independence & The Constitution of the United States, read by Boyd Gaines (Random House Audio, Compact Disc, 2007). See omnystudio.com/listener for privacy information.

This week on Limited Supply, we're bringing you a special crossover episode. Nik recently sat down with David Vanderveen and Peter Griskum from Verified, The Social Commerce Podcast, and the conversation was too good not to share here too. They get into what is actually working in social commerce right now, starting with the Hudson method: building a network of thousands of micro creators who each represent a specific persona, so the brand gets a constant stream of content without ever running its own production. Nik breaks down how AI has changed the economics of creative, from landing pages built in Codex or Claude Code and shipped in 30 minutes, to why creative costs have collapsed while Meta's ad costs keep climbing. He also digs into the difference between celebrity brands that work and the ones that flop (hint: it usually comes down to team, product, and whether the celebrity actually shows up). If you want to see the ad swipe file Nik mentions, head over to ads.nik.co to check that out. And a big thanks to the team at the Verified, The Social Commerce Podcast. --- Triple Whale is the AI operating system built for modern commerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it hurts your bottom line.  Learn more at ⁠https://triplewhale.com/limitedsupply --- Want more DTC advice? Check out the⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Limited Supply YouTube page⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for more insider tips. And if you're looking for an instant stream of on-demand DTC gold, check out the⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Limited Supply Slack Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for Nik's most unfiltered, uncensored thoughts. Check out the Nik's ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠DTC newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Nik on Twitter/X: ⁠⁠⁠⁠https://www.twitter.com/mrsharma⁠

Починаємо епізод з Atlas від World Labs — world model, яка перетворює фото на тривимірну сцену. Говоримо про те, що насправді означає «world model», як моделі зберігають консистентність сцени та чому їхнє «розуміння фізики» перебільшене.AI-агенти, які отримували несанкціонований доступ до Hugging Face та інших систем. Розбираємо їхню координацію, приховування слідів і ризиковану поведінку та те, чому це не свідчить про самостійне мислення.Також у випуску: телевізори LG, які можуть прослуховувати приміщення; генерація відео в реальному часі та авторські права; AI-токени як кешбек у Китаї; AI-асистенти в Slack; і понад 7 тисяч заблокованих розумних окулярів Meta.00:30 — Atlas від World Labs01:26 — що таке World Models04:29 — розвиток і перспективи Atlas05:41 — маркетинг і спекуляції навколо AI09:30 — ризики автономних агентів13:12 — коментарі в коді: Codex vs Opus16:15 — брак "здорового глузду" в агентів19:55 — розумні телевізори LG: стеження навіть у вимкненому стані23:38 — V-Color: оперативка із декоративною заглушкою27:17 — генерація відео в реальному часі та її перспективи31:13 — AI-токени як валюта в Китаї 34:54 — інтеграція AI у Slack та Gmail38:11 — NVIDIA: об'єднання ПК в обчислювальний кластер42:24 — новини про блокування окулярів

The problem of AI alignment has become a hot topic. It's raised questions, like how do we get AI to do what we want, and not what we don't want? For example, hacking another company. Or, in a less criminal vein, how do we get AI to stop talking about goblins?After mounting user reports of this behavior earlier this year, OpenAI had to give its models — ChatGPT and Codex — explicit instructions to cut it out. It's the topic of today's “Uncanny AI,” those moments when it's clear AI doesn't think like us.Janelle Shane, author of the blog "AI Weirdness,” says goblin mode emerged from a nerdy personality customization. “Marketplace Tech” host Meghan McCarty Carino asked her why.

The problem of AI alignment has become a hot topic. It's raised questions, like how do we get AI to do what we want, and not what we don't want? For example, hacking another company. Or, in a less criminal vein, how do we get AI to stop talking about goblins?After mounting user reports of this behavior earlier this year, OpenAI had to give its models — ChatGPT and Codex — explicit instructions to cut it out. It's the topic of today's “Uncanny AI,” those moments when it's clear AI doesn't think like us.Janelle Shane, author of the blog "AI Weirdness,” says goblin mode emerged from a nerdy personality customization. “Marketplace Tech” host Meghan McCarty Carino asked her why.

Are you still trying to decide whether Claude or ChatGPT is the “better” AI?That may be the wrong question. The real advantage comes from building a workflow that lets you use the strengths of multiple AI platforms without losing context, duplicating work, or starting over every time you switch tools.In this episode of Leveraging AI, Isar Meitis walks through the system he uses to work across Claude, ChatGPT, coding agents, and other AI tools on the same projects. The key is creating a shared file-based infrastructure that becomes the source of truth for project instructions, memory, tasks, and ongoing work.Instead of locking your business into one AI ecosystem, you can build a setup that gives you more flexibility, resilience, and access to the best capabilities of each platform.In this session, you'll discover:How Claude, ChatGPT, and other AI tools can work on the same project without losing context.Why shared files can become the real “memory” of your AI workflow.How to use claude.md and agents.md so different AI platforms can follow the same project instructions.How an evergreen project document and task registry keep every AI agent aligned.How to structure backups so your AI projects don't live only on one computer.Why only one platform should be responsible for managing your backup process.How tools such as Claude Code and Codex can work in parallel on different parts of the same project.The result is a much more flexible AI operating system for your work: one where you can choose the best model for each task instead of forcing every task through the same platform.If you want to take this kind of infrastructure further, Isar also discusses his multi-agent orchestration course, which focuses on building more advanced AI systems for business.About Leveraging AIMulti-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

A muted Adam attempts a solemn September 11th opening, Daniel's tinnitus refuses to observe the moment of silence, and we're off to the races—almost literally. Daniel weighs a cautious return to running before Wine & Dine, then sends Devs straight to editing jail for crimes against pacing while making the case that Star City deserves more than one episode to work its Soviet-space-program magic.Adam's beloved UV printer demands a $600 organ transplant, inspires the launch of the entirely fictional UFlexon, and raises the deeply important question of why printer discounts are respectable but Aldi cheese is apparently comedy gold. From there, the boys troubleshoot Codex, marvel at Apple's shocking invention of a foldable phone, demand holograms and shit, and turn Tony from Illinois's driving dilemma into a suspiciously elaborate app-development assignment.AI takes over the household finances as Daniel tackles benefits and retirement contributions while Adam learns exactly how long he has before becoming destitute—and gets personally attacked over his streaming subscriptions. Daniel scores an extremely legitimate six out of five in the News Game, birthdays bring Harry Connick Jr., Adam Sandler, and Hugh Grant, and MS Now finally offers cable-news access without a cable-sized ransom. We're back next week; until then, we hope you enjoy this highly professional organization in action.Email: Contact@MixMinusPodcast.comVoice/SMS: 707-613-3284

I'll be honest: this one's for me. I really wanted an excuse to hang out and chat with Jay, so I've invited him to Goblin Points for just that. We talk about the Codex as a tool, Draw Steel as a system and what TTRPG systems bring to social encounters.Links to everything: https://goblinpoints.com/2626#linksChapters:00:00:00 - Intro 00:00:42 - Interview 00:43:25 - OutroSupport the showGoblinPoints.comJonDeNor.comStawl.appDiscord ServerLeave a comment on YouTube or Spotify, or send me an email at tips@goblinpoints.com.Theme music by Patrick Haesler.Art by Chris Malbon.

Want to get into the top 10% of your engineering team by leveraging agentic engineering workflows? I'm planning a 2 day workshop here: https://form.typeform.com/to/EDuBEz4UI shipped a feature with AI in record time.Then I actually read the code.60+ files. Weird abstractions. Tests that technically passed but proved almost nothing. Components rebuilt from scratch for no good reason. What looked like a finished feature was probably 70–80% of the way there.And the worst part? This wasn't my first time doing this.I've also sat in a code review as a senior engineer and realized I couldn't properly explain code that “I” had just written.I use Claude and Codex constantly. I'm not going back to hand-writing everything. But after using AI to build software at startups, inside my own business, and on large production systems, I think we're learning the wrong lesson from how fast these tools can code.The question isn't whether AI can write the code.It's how much you need to understand before you're willing to ship it.

Los Astartes existen en el trasfondo desde el inicio de Warhammer 40k, incluso desde los lejanos tiempos del primigenio Rogue Trader. Pero... ¿cómo eran esos marines y como ha sido su camino hasta hoy? Junto a Brottor nos zambullimos en la historia del perfil de atributos de los Marines Espaciales desde 1987 hasta el 2026. Casi 40 años de Astartes que sin duda nos serirán para entender mejor el impacto del cambio que se avecina con su Codex de la Undécima Edición de Warhammer 40k. ¿Te gusta lo que hacemos y quieres apoyarnos y de paso participar en el sorteo mensual de 400€ en material de Warhammer 40k? Dale al botón de "Apoyar" en iVoox. Tendrás una participación por 4,99€, tres participaciones por 9,99€, siete participaciones por 14,99€, y otras siete por cada 5€ de apoyo adicional. Más detalle en nuestra web, https://www.lavozdehorus.com/ 00:00:00 Presentación e introducción 00:08:13 De 1987 a 2003 01:08:08 De 2004 a 2016 01:49:13 De 2017 a 2026 Escúchanos mientras pintas minis o mientras sacas el perro a pasear. No importa el momento, pero cuenta con nosotros para ser tu programa semanal de referencia sobre Warhammer 40.000. Toda la música de este podcast está licenciada en Jamendo y Dark Fantasy Studio. El corte de fondo inicial es licencia Creative Commons de Royalty Free Kings utilizada con permiso de su autor Mark Petrie. El resto de temas musicales son licencia Creative Commons de Scott Buckley o usados con permiso de su autor, Fernando Amat. Ningún tipo de IA ha sido utilizada para la confección del guión, las voces o la música de este programa. Todo es artesanal y real. Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Synopsis Épisode « intime » : Patrick et Steve Waterhouse en duo, présenté comme la pratique avant le vrai trois-centième, qui se fera devant public au Hackfest. Steve arrive avec sept pages de nouvelles et un point de méthode qu'il enseigne à ses étudiants : remonter à la source primaire, parce que la nouvelle qu'on lit est souvent le quatrième filtre de l'événement. Le gros morceau est local. Epic, le logiciel de dossier médical déployé par Santé Québec, a décidé de connecter ChatGPT et Codex aux données patients. L'activation est manuelle — mais quelqu'un va le faire. La vraie question n'est pas technique : où est le consentement du patient, et qui possède la liste des sous-traitants de Santé Québec ? Personne. Steve génère en direct une évaluation des menaces et des risques : souveraineté des données, exposition au Cloud Act, centralisation et rayon d'impact élargi, dette de sécurité liée au déploiement précipité, et une lacune linguistique documentée dès le jour un. Patrick enchaîne sur l'offre d'emploi sortie cette semaine à Santé Québec — dix ans d'expérience plus une pile de certificats que deux personnes au Québec possèdent — pour illustrer un système d'embauche qui mesure des papiers et jamais l'expérience. Côté incidents, chapeau à la CCQ : transparence, présidente en entrevue radio sans cassette, aucune rançon payée, restauration à partir des sauvegardes. En face, Qilin a mis les données en ligne avec un compteur, cinq cent mille fichiers, neuf cent trente gigaoctets — et une exfiltration qui ne s'est clairement pas faite en une fin de semaine. Puis le tour de la souveraineté : Hydro-Québec et les composants de contrôle industriel chinois, la commission américaine sur les émanations électromagnétiques et le décret qui relance la fabrication de transformateurs en Amérique du Nord, la stratégie du quarante pour cent sous le prix du marché, et le rappel que tout ce qui est « smart » documente ce qui se passe chez vous. Le clou de l'épisode : à quelques semaines des élections québécoises, les deux fouillent en direct les plateformes des partis. Cyber : zéro chez la CAQ hors du livre bleu, une mention de souveraineté numérique au PQ, rien au PLQ. Seul le PCQ a un document de plateforme numérique — onze pages, un statut d'expert numérique stratégique et « garantir la sécurité des données ». Ça se termine sur les cyber-conflits : mille vulnérabilités au dernier Patch Tuesday de Microsoft, quatre sabotages cinétiques du réseau électrique allemand et des drones sur deux aéroports, Berlin siphonnée via une municipalité voisine, les trackers publicitaires coupés par l'armée américaine, l'ID Windows qui a fait tomber un attaquant, COSCO qui remonte de la géolocalisation à Pékin — et la seule sortie possible : une loi qui force les entreprises à faire de la cyber. Crew Patrick Mathieu — Cofondateur de Hackfest.ca et fondateur de Hexius Steve Waterhouse — Conférencier, consultant en cybersécurité, vétéran et chroniqueur Liens et ressources Patrick « La situation pourrait être hors de contrôle » d'ici un an, avertit un chercheur en IA Using the Epic plugin with ChatGPT and Codex (OpenAI) ChatGPT Health adds Epic integration for clinicians to import patient data (TechCrunch) Hydro-Québec finance l'achat d'équipement chinois banni en Europe (La Presse) Offre d'emploi Santé Québec en cybersécurité Microsoft Patch Tuesday de septembre 2026 GrapheneOS Steve Waterhouse Germany plans anti-sabotage shield after airport drone attack (Reuters) Berlin investigates new data leak after hackers publish stolen login credentials (The Record) US military turns off ad trackers on devices amid Middle East targeting reports (Reuters) How China industrialized the infrastructure behind state hacking (CSO Online) Chinese shipper COSCO collects intel for Beijing with concealed equipment, US officials say (Reuters) G7 urges organizations to prepare for quantum cyber threats (The Record) Commission américaine sur les émanations électromagnétiques (EMP Commission) Décret présidentiel sur la production de composantes de réseaux électriques Projet de loi C-22 — infrastructures essentielles et déclaration d'incidents Dossier CCQ CCQ — 4 septembre 2026 : reprise complète des services et mise à jour sur les renseignements personnels CCQ — mise à jour du 6 septembre 2026 Cyberattaque à la CCQ : des pirates russes ont volé les données de 350 000 personnes (La Presse) Qilin Strikes Commission de la construction du Québec (dexpose.io) Commission de la construction du Québec — Qilin ransomware (SOCRadar) Ransomware.live — Commission de la construction du Québec / Qilin Une cyberattaque paralyse des services de la CCQ (La Presse, 26 août) Cyberattaque : la CCQ demeure toujours paralysée (TVA Nouvelles, 28 août) Élections provinciales 2026 Groupe de travail sur les menaces en matière de sécurité et de renseignements visant les élections Élections provinciales : l'IA inquiète les Québécois (Protégez-Vous) Charles Milliard (PLQ) promet une plateforme de télésanté 100 % publique (Le Droit) Russia's Operation Matryoshka uses fake videos to target German election (Cybernews) Plateforme numérique du Parti conservateur du Québec Le livre bleu de la CAQ Loi 25 — protection des renseignements personnels Shamelessplug Join Discord ISC2 SECURE Canada 2026 — Toronto, 17 septembre 2026 BSidesMtl — Montréal, 19 septembre 2026 GoSec26 — Montréal, 23-24 septembre 2026 Congrès du Groupe Millénium Micro — workshop tabletop de Patrick, 24 septembre 2026 SecTor — Toronto, 6-8 octobre 2026 Sommet international Cybersécurité et Souveraineté numérique — Québec, 21 octobre 2026 Conférence PolarCon — Québec, 29 octobre 2026 HACKFEST — Québec, 29-30-31 octobre 2026 — le vrai épisode 0x300 sera enregistré devant public SiberX Operation: Defend the North 2026 — Toronto/virtuel, 8 décembre 2026 Crédits Montage audio par Hackfest Communication Locaux virtuels par Streamyard

Michael Cameron, author of High Strangeness, joins this episode to detail a lifetime of alien abduction experiences that began in his crib as an infant and continued into his late teens. Raised in a strict Roman Catholic household in a haunted London home, Michael walks through the paranormal activity that plagued his family, a missing-persons case involving his own brother, and a harrowing conscious abduction on his family's sofa that ended with an unexpected witness standing in the corner of the room.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters, UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find more episodes and join the community at the links below.Topics Discussed:● Michael's parents witnessing gray-type beings standing over his crib as an infant in the 1970s● Years of poltergeist activity in his childhood home, including a wardrobe pushed onto his brother and another brother shoved down the stairs● His older brother's unexplained seven-hour disappearance from a crowded beach, and reappearance in an already-searched location● A wide-awake, conscious abduction on his living room sofa involving two gray beings and a glowing, wand-like instrument● The unidentified U.S. Air Force officer Michael says he saw standing in the room, observing the encounter before vanishing alongside the grays● Family patterns linking alien abduction experiences to military service and high-ranking Freemason connections Links

Can a machine learn the judgement that separates a plausible-looking result from a faithful experiment? Edward Hughes, Chief Scientist and co-founder of Inherent, joins Tim Scarfe to argue that creativity is not optimisation, and that the missing capability in AI is choosing which questions are worth asking.SPONSOR:---Cyber Fund built the Monastery to help founders ship products that were impossible a year ago.Apply now: https://cyber.fund---Edward makes the case that Move 37 was innovative rather than creative, and that the field, not the individual, decides what counts as a discovery. That reframing runs through Csikszentmihalyi, Deutsch and exaptation into open-endedness, where deceptive goals and imperfect world models turn out to be the point rather than the problem. The second half turns to the paper: Replica, a task space built by redacting figures from real papers, and Faraday, a 27-billion-parameter model trained to steer a frontier coding agent that then beats the frontier on held-out replications.---TIMESTAMPS:00:00:00 Cold open: Move 37, Faraday and collective intelligence00:01:08 Sponsor: CyberFund00:01:46 Inherent's $50M raise and the road from string theory00:09:14 Three timescales of learning: weights, context, culture00:13:47 Move 37 was innovative, not creative: the field decides00:20:39 Creativity as satisficing: the urinal and evolution00:25:06 Exaptation and the Tristan chord: creativity in context00:30:56 Coherence for whom? Deutsch's hard-to-vary explanations00:35:53 Why copying is creative: Deutsch and the constraint engineer00:42:27 Societies of agents and the strong Moravec paradox00:45:51 Evaluate in hindsight: from Lean proofs to climate change00:51:56 Picbreeder, local goals and why discovery needs deception00:57:21 Spaghetti proofs, translation layers and superhuman Go01:00:37 Does nature compress? Naturalness and real patterns01:07:36 Why replicate? Replica's redacted figures and Faraday01:12:31 Faraday beats Codex, Claude and GLM 5.2 on held-out tasks01:15:31 Replication to innovation: how the Transformer happened01:18:26 Deep replication: what Faraday learns from Voyager and GNoME01:23:37 Can the AI scientist cheat? Goodharting the judge01:29:09 Inside Replica: scale-down, 8xB300 runs, per-task rubrics01:34:11 The RL crisis: getting GRPO to work with per-turn credit01:39:43 Weights vs harnesses: AlphaEvolve, DGM and EvoTune01:45:45 The recursive company: agents cross a phase transition01:50:35 Collective intelligence and the electric dynamo01:55:46 What replaces OKRs? Incumbents and the burden of knowledge---REFERENCES:MLST Creativity Article:https://archive.mlst.ai/read/why-creativity-cannot-be-interpolatedorganization:[00:01:47] Inherenthttps://inherentlabs.ai/other:[00:20:51] Marcel Duchamp, Fountainhttps://www.tate.org.uk/art/artworks/duchamp-fountain-t07573[00:05:19] Human-Timescale Adaptation in an Open-Ended Task Space (Adaptive Agent)https://arxiv.org/abs/2301.07608[00:06:05] The AI Scientisthttps://arxiv.org/abs/2408.06292[00:12:13] Training AI Scientists to Replicate Research (Replica and Faraday)https://arxiv.org/abs/2608.13331[01:44:46] Evolutionary Principles in Self-Referential Learninghttps://people.idsia.ch/~juergen/diploma.html[01:59:33] Are Ideas Getting Harder to Find?https://www.nber.org/papers/w23782book:[00:16:04] Creativity: Flowhttps://search.worldcat.org/title/254487436[00:26:22] Why Greatness Cannot Be Plannedhttps://link.springer.com/book/10.1007/978-3-319-15524-1[00:33:03] The Beginning of Infinityhttps://www.penguinrandomhouse.com/books/293575/the-beginning-of-infinity-by-david-deutsch/[01:55:47] Laws of Knowledgehttps://www.penguin.co.nz/books/the-infinite-alphabet-9780241655672(Full list refs on YT/rescript)---RESCRIPT:https://app.rescript.info/session/670296ba913761d0?share=6281911cac9bdbff637f10819d4d1e5c

Alex Thorn and Jon join Kain and Taylor to unpack a Bitcoin hack, two new frontier models, and why nobody trusts their AI chats anymore. ======================================================== Thank you to our sponsors! Visit 1inch to swap tokenized securities, crypto and more. Simple. Secure. Self-custodial. Whatever asset you're buying - swap it at ⁠⁠⁠http://unchainedcrypto.com/go/1inch-sn⁠⁠⁠ ======================================================== A Bitcoin sidechain lost $300 million to a consensus bug this week, and the hackers who returned 85% of it are trying to extort a "bug bounty" out of Blockstream for the rest. Alex Thorn, Head of Firmwide Research at Galaxy, and Jon, Head of Strategy at Venice and co-founder of ShapeShift, join Kain Warwick and Taylor Monahan to unpack how AI models are now finding exploits faster than the humans who wrote the code, and to push back on the idea that returning stolen funds makes anyone a white hat. They also dig into Astra and Fable 5.1, two frontier models that landed days after a mathematician working inside OpenAI's Codex clashed publicly with OpenAI over who actually solved a Millennium Prize-adjacent proof.  Jon and Alex explain why the "don't train on my data" toggle may not mean much, and why identity is becoming the real privacy battleground. The conversation closes on whether an Anthropic researcher quitting this week is a warning the industry is choosing to ignore. Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Kain Warwick⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - Host of Uneasy Money and Founder of Infinex and Synthetix ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Taylor Monahan⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - Co-host of Uneasy Money and Security Expert Guests: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alex Thorn - Head of Firmwide Research at Galaxy ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jon - Head of Strategy at Venice and Co-founder of ShapeShift Timestamps

Gary Wayne, author of the bestselling Genesis 6 Conspiracy series, joins this episode to trace a hidden history he says spans every ancient culture on Earth: a bloodline of giants, kings, and fallen gods that shaped civilization before the flood and never actually let go of power. Gary lays out the linguistic, mythological, and biblical evidence connecting the Nephilim, the Greek Titans, the Sumerian Anunnaki, and the royal dynasties still ruling today, and explains why he believes the same ancient system is still running the world.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters, UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find more episodes and join the community at the links below.Topics Discussed:The Nephilim of Genesis 6, and how the same giant bloodline appears under different names as the Titans, the Anunnaki, and the Rephaim across world mythologyThe linguistic case connecting the Hebrew, Sumerian, and Greek root words behind "Titan,""Rephaim," and "Tuatha De Danann"Why Gary believes modern royal bloodlines trace their claimed divine right to rule back to these pre-flood dynasties, using King Charles III's coronation as a modern exampleThe mystery schools and secret societies Gary says formed after the flood to preserve this hidden knowledge among the eliteRecorded ancient measurements of biblical and historical giants, from Goliath to Og of Bashan, and the case for their scale being taken literallyThe distinction between pre-flood Nephilim and the different hybrid beings Gary says reappeared afterwardLinks

Rebirth of an Aztec CodexThere are some stories from Mesoamerican history that, when you first hear them, sound almost too good to be true. Take for example, the Tonalamatl Aubin. Now, for those not familiar, the story goes like this: a sacred Indigenous calendar survives the destruction of the Spanish invasion, vanishes into European collections where it gets passed from collector to collector, and eventually ends up sitting in a French library thousands of miles from where it was made. Then, in 1982, a Mexican reporter walks into that library, presents fake credentials in order to examine the manuscript, and then promptly puts it in a briefcase and walks out with it, sparking an international incident.That would already make the Tonalamatl Aubin one hell of a story. I mean, Why hasn't a movie been made about this incident? Someone, anyone, give me a budget and let's fucking go. Well dear listeners, somehow the story of the Tonalamatl Aubin just got even more awesome.listener comments? Feedback? Shoot us a text!This December, I'll be joining Skeptoid Adventures as your guide for The Mysteries of the Maya, where we'll travel through the Yucatán exploring remarkable archaeological sites, uncovering the real history behind the Maya civilization, and separating fact from fiction along the way. To reserve your spot, all you need is a fully refundable $500 deposit. Your deposit is refundable through August 1, so you can reserve your place with confidence. After Au Lignum is a haven for culture, rest, and resistance. We believe in celebrating community and honoring the land that holds us. At our urban “milpa,” we practice indigenous science that respects the natural cycles of the region, and most of our workshops are hosted by indigenous and local experts. Every project we do is grounded in collective memory, creativity, and respect for the land and its people.  Order "NEVER WILL IT BE LOST" and get $5 off!Support Lignum: A Cultural Haven in MéridaYour Hosts:Kurly Tlapoyawa is an archaeologist, ethnohistorian, and filmmaker. His research covers Mesoamerica, the American Southwest, and the historical connections between the two regions. He is the author of numerous books and has presented lectures at the University of New Mexico, Harvard University, Yale University, San Diego State University, and numerous others. He most recently released his documentary short film "Guardians of the Purple Kingdom," and is a cultural consultant for Nickelodeon Animation Studios.@kurlytlapoyawaRuben Arellano Tlakatekatl is a scholar, activist, and professor of history. His research explores Chicana/Chicano indigeneity, Mexican indigenist nationalism, and Coahuiltecan identity resurgence. Other areas of research include Aztlan (US Southwest), Anawak (Mesoamerica), and Native North America. He has presented and published widely on these topics and has taught courses at various institutions. He currently teaches history at Dallas College – Mountain View Campus. Find us: Bluesky...

Jeff Sauer has spent twenty years teaching marketers how to measure what matters. In this episode, he explains how AI has rewritten his marketing playbook, letting a lean team (often just himself and a stack of AI tools) produce work that used to take a copywriter, web designer, project manager, and paid ads specialist. If you run a small marketing team and want a practical look at what AI can take off your plate today, this conversation is packed with real workflows, real numbers, and honest warnings about what still needs a human eye. Guest Introduction Jeff Sauer is the founder of MeasureU, a measurement training platform for agency owners and consultants, and previously ran an Inc 5000 agency for a decade before selling it. He has trained more than 50,000 marketers across over 100 countries and built a YouTube channel with more than 55,000 subscribers. Key Topics How AI has shifted marketing staffing from "I need these people" to "what staff do I actually need"Jeff's AI stack: Claude Code as his daily driver, plus ChatGPT, Gemini, Veo 3, Seedance, and Copy Coders for specialist tasksBuilding serversideblueprint.com end to end with AI, which sold $15,000 worth of workshopsAn automated LinkedIn workflow that drafts, schedules, and replies to comments, generating over 1,000 B2B leads this yearWhy long-form YouTube content anchors his content engine, feeding blog posts, newsletters, and social clipsBuilding 40+ lead generating landing pages in minutes each with Claude Code, no WordPress plugins neededHis anti-AI tuning rules and six-step skill framework for catching AI writing patterns before they go liveWhy email remains the highest ROI channel, and how voice dictation feeds his AI-assisted writing process Resources & Links Companies & Tools MeasureU, Jeff's training companyMeasureU AI Marketing Guide, free guide to this episode's four workflows, plus an AI vs human task gridClaude and Claude Code, Jeff's daily AI driverChatGPT and Codex, for image generation and code checksGoogle Gemini, for image generationGoogle Veo 3 and ByteDance Seedance, for AI video generationCopy Coders, Genesis bots for email, script, and landing page copyPubler, Taplio, Apify, and n8n, earlier tools for LinkedIn scheduling, research, and automation, now folded into ClaudeMacWhisper, voice dictation for email draftsZ.ai GLM models, used to critique and bug check AI codeAuthority Hacker, source of Jeff's skill frameworkLovable, an early 2025 vibe coding toolWordPress, Gravity Forms, and Go High Level, the old site and lead capture tools Jeff no longer needs Contact & Credits: Host: Shahin Hoda Guest: Jeff Sauer Produced by: Shahin Hoda and Alexander Hipwell Edited by: Alexander Hipwell & Dave Somido Music by: Breakmaster Cylinder Podcast Co-ordinator: Jonah Igsie APAC's B2B Growth Podcast is Presented by xGrowth

Everything you thought you knew about ghee is wrong. In this episode of The Food Professor podcast, Michael LeBlanc and Dr. Sylvain Charlebois sit down with Vreshin "Vresh" Nagarajan, Founder and Chief Ghee Officer of Vresh Foods, makers of OG GHEE, recorded live on the show floor at the SIAL Food Innovation Show in Montreal.Vresh makes a compelling and slightly incendiary case: roughly 90% of the $100 million of ghee sold in Canada every year isn't actually ghee. It's anhydrous milk fat, or butter oil, an industrially processed dairy ingredient usually made offshore, shipped in shelf-stable, repackaged here and sold as "pure desi ghee." Real ghee is cultured butter cooked until the water evaporates and the lactose and casein caramelize, a distinction the Codex recognizes and one you can smell the moment the jar opens.In four years Vresh has gone from a South Asian meal-kit side hustle in Calgary to a national Loblaw listing and a Costco Ontario rotation, built on an unlikely premise: that ghee is Canada's last viable domestic cooking fat. With a 485F smoke point, a five-year shelf life, no refrigeration required, and 30 litres of Canadian milk in every kilogram, he argues ghee is the best milk-utilization story in the country. He also has pointed words about who has been underselling South Asian consumers, and why "desi" should mean Canadian. The full video interview is on The Food Professor YouTube channel.But first, we start with the food and agriculture news of the week.Michael and Sylvain open on the Prime Minister's address to the nation, and the name he never said, before turning to the latest U.S. tariff recalibration, the new ban on Canadian spirits and wine, and what the September 15 and 29 deadlines mean for agri-food. Sylvain argues the real damage isn't the tariff math, it's the total absence of predictability, with dairy leaders now openly weighing whether to shift production south. Sylvain points to Mark Warner's CBC interview, Ian Lee's parallel argument, and calls for Parliament to be recalled, citing the 1988 free trade debate as precedent.Then: reindeer. Ottawa is putting $800,000 behind a northern herd grown from a few hundred animals to 7,000, and Sylvain explains why no Canadian parent is selling Rudolph at the meat counter. Plus Sapporo's non-alcoholic production possibly heading stateside, Africa's redrawn map and its enormous agri-food potential, McDonald's dropping pumpkin spice after 34 years of PSL dominance, fresh Satov Consulting research on whether Dunkin' can win over Canadian coffee drinkers, why Sylvain would rather support than boycott, Walmart's delivery ambitions, and a farewell to New Coke architect Brian Dyson. About UsDr. Sylvain Charlebois is a Visiting Professor in Food Policy and Distribution at McGill University and a Professor in Food Distribution and Policy in the Faculty of Management at Dalhousie University in Halifax. He is also the Senior Director of the Agri-food Analytics Lab, also located at Dalhousie University.Known as “The Food Professor”, his current research interest lies in the broad area of food distribution, security and safety. He is one of the world's most cited scholars in food supply chain management, food value chains and traceability with over 775 published peer-reviewed journal articles. Dr. Charlebois is also an editor for the prestigious Trends in Food Science Technology journal. He co-hosts The Food Professor podcast, discussing issues in the food, foodservice, grocery and restaurant industries and which is the most listened Canadian management podcast in Canada. Every year since 2012, he has published the now highly anticipated Canadian Food Price Report, which provides an overview of food price trends for the coming year. Furthermore, his research has been featured in several newspapers and media groups, nationally as well as internationally. He has testified on several occasions before parliamentary committees on food policy-related issues as an expert witness. He has been asked to act as an advisor on food and agricultural policies in many Canadian provinces and other countries.With extensive experience collaborating with businesses, governments, and NGOs, Dr. Charlebois combines academic rigor with practical expertise, making him one of the most influential voices in the global agri-food landscape. His work continues to advance the understanding of food systems, fostering innovation and resilience in a rapidly evolving industry. In 2025, he received the prestigious Charles III medal recognizing his tremendous work in informing Canadians about food issues. 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 National Retail Federation (NRF) as a global Top Retail Voice for 2025 and 2025, and continues to be a ReThink Retail Top Retail Expert for the fifth year in a row.

The Autobiography of Benjamin Franklin (1706-1790) written in the form of an extended letter to his son, William Franklin (1730-1813). Ben kept good records of his life and travels, and although he was never President, he still played a crucial part in American history. The Autobiography of Benjamin Franklin at https://amzn.to/43cp6CV Benjamin Franklin Books available at https://amzn.to/41fUkGD ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The Autobiography of Benjamin Franklin (Librivox, read by T. Hersant). See omnystudio.com/listener for privacy information.

A series of 16 influential political pamphlets published between 1776 and 1783 during the American Revolutionary War (1775-83) titled The American Crisis, or simply The Crisis, by eighteenth-century Enlightenment philosopher and author Thomas Paine — an Englishman living in the colonies who signed his essays anonymously as "Common Sense," the title of his earlier influential work. Each essay, bolstered the morale of the American colonists to fight hard for their independence, appealed to the English to support the colonist's cause, clarified the issues at stake, and denounced any type of negotiated peace. The essays were gathered into one volume in 1882, showcasing the iconic opening line: "These are the times that try men's souls. The summer soldier and the sunshine patriot will, in this crisis, shrink from the service of their country; but he that stands it now, deserves the love and thanks of man and woman." The American Crisis by Thomas Paine at https://amzn.to/4dKKClU Common Sense by Thomas Paine (book) available at https://amzn.to/3MKX77b Writings of Thomas Paine available at https://amzn.to/3MCaFC2 Books about Thomas Paine available at https://amzn.to/4s3qxOg ENJOY Ad-Free content, Bonus episodes, and Extra materials when joining our growing community on https://patreon.com/markvinet SUPPORT this channel by purchasing any product on Amazon using this FREE entry LINK https://amzn.to/3POlrUD (Amazon gives us credit at NO extra charge to you). Mark Vinet's HISTORICAL JESUS podcast at https://parthenonpodcast.com/historical-jesus Mark's TIMELINE video channel: https://youtube.com/c/TIMELINE_MarkVinet Website: https://markvinet.com/podcast Facebook: https://www.facebook.com/mark.vinet.9 X (twitter): https://twitter.com/MarkVinet_HNA Instagram: https://www.instagram.com/denarynovels Mark's books: https://amzn.to/3k8qrGM Audio credits: The American Crisis by Thomas Paine (a LibriVox production read by volunteers and coordinated by Michele Fry, 2014); Yankee Doodle by American Patriotic Song. Audio excerpts reproduced under the Fair Use (Fair Dealings) Legal Doctrine for purposes such as criticism, comment, teaching, education, scholarship, research and news reporting.See omnystudio.com/listener for privacy information.

This week on AppStories, we celebrate the 500th episode of the show with a look at the App Store's past, present, and future.On AppStories+, Federico and John pick some of their all-time favorite apps.Also available on YouTube here.Sponsored By:Claude: For problems worth solving — get started with Claude today.Gentler Streak – Move consistently, not constantly. AppStories listeners get an extended two-week free trial with the link above.Shipaton, from RevenueCat: The world's biggest mobile hackathon for people who actually ship.Links and Show NotesApp Store HistoryThe App Store at 10, MacStories' 2018 coverage of the App Store's 10th anniversaryApps Discussed From The Early App Store EraInstapaperTwitterrificSpotifyWhatsAppAI and the Modern App StoreInside OpenAI's Codex with Andrew Ambrosino (MacStories)AppStories+ Post-Show:All-Time Favorite AppsOvercastEditorialPythonista 3DraftsUnread: An RSS ReaderWorking CopyOpen MinisLaunch Center ProScreens 5: VNC Remote DesktopMercury WeatherCARROT WeatherAlyx Caffeine TrackerSequel Media TrackerLookUpChroniclingJaysonLeave Feedback for John and FedericoAppStories Feedback FormFollow us on Social MediaFederico is @viticci everywhereJohn is @johnvoorhees`everywhereAffiliate Linking Policy

Follow Ricker and Bon:http://instagram.com/rickerandbonhttp://tiktok.com/@rickerandbonhttps://youtube.com/@rickerandbonhttps://open.spotify.com/show/0n1m0eR2sYZU2EFhSwlqX1https://podcasts.apple.com/us/podcast/ricker-and-bon/id1367523204Ricker & Bon are back with a wide-open conversation on the AI work boom, Codex and the terminal barrier, why faster software can create more work instead of fewer jobs, AirPods Pro, NVIDIA, Anthropic's compute buildout, and Tesla Cybercab.00:00 The drops are back02:39 Codex, AI, and the terminal barrier07:30 Building games and software with AI12:00 Why AI can create more work, not fewer jobs21:20 GTA VI and Xbox cloud gaming25:00 Physical media, ownership, and copyright30:00 Internet research and the music tangent35:35 Azure, cloud spending, and Microsoft42:45 Apple, private CEOs, and AirPods Pro48:00 Anthropic, Lambda, and the AI compute buildout51:00 NVIDIA, Roblox, and market optimism56:00 Jensen Huang watch talk59:00 Tesla Cybercab and the federal safety question64:00 Volkswagen cuts, jobs, and rapid-fire news67:25 Sign-offSubscribe for more Ricker & Bon. Follow @rickerandbon on Instagram, TikTok, and YouTube.

Your favorite D&D Talk Show! This week's segments: Sorcerer Deep Dive Homebrewing "The Codex of Forgotten Names" Tier Ranking Meta Magic Options Support us on Patreon https://www.patreon.com/c/TotalPartySkill/home to get access to PDFs of our homebrew and see uncut video from the podcast! Plus, bonus content exclusive only to patrons! Subscribe for more weekly Dungeons & Dragons content! And follow us on our socials for previous draft videos and to learn more about us: Gabe -- @gabespan (TikTok, Instagram) George -- @dmgeorge_primavera (Instagram, TikTok) Dylan -- @whatcha_mccollum (Instagram) MERCH ALERT! Perfect gifts for TPS listeners...Delightful almond-scented soap that contains a full set of dice! You can get yours here: https://fantasy-scents.com/products/total-party-skill-dice-soap-dungeons-bubbles

Ep 291Tim Cook Comments on His Final Day as Apple CEOMorning Brew: During Tim Cook's tenure as CEO, Apple's market cap increased an average of about $32 million per hour, every hour... For 15 years (Per Bank of America analyst Wamsi Mohan)John Ternus: hello (from Porsche racer)Daring Fireball: What Is the Point of the DMA?Joe Rossignol: Apple TV pricing history (U.S.): $4.99/month (2019), $6.99/month (2022), $9.99/month (2023), $12.99/month (2025)The cost of Apple TV over time — 9to5MacPosle više od deset godina, moj iPad Pro ne može da ima najnoviju verziju YT: YouTube Drops iOS 16 Support, App Now Needs iOS 17.0 MinimumUpdated M5 Mac mini arrives in RAM and SSD constrained environmentMac Studio gets update to M5 Max and M5 UltraJacek Dziwisz: Apple Silicon architecture turned out to be a bullseye for LLMs. The magic of combining fast memory, bandwidth, and a unified architecture. Mac Studio M5 Ultra (512 GB, 1.2 TB/s) fits the full GLM-5.3-Flash (320B) in FP8 and pulls ~60 t/s offline, right on the desk. PC alternative? 10x RTX 5090 for over $20,000 and your own mini power plant.Simon Willison: Just noticed the ChatGPT desktop app (previously named Codex) bundles a full copy of the LibreOffice open source office suite, tucked away in a hidden folder in the ~/.cache directoryData Became Code: We Ran Code Inside Fortune 500s Using Files They Published for AI AgentsApple Says Former Engineer Used Stolen Trade Secrets at OpenAI, Taught AI Agent to Run ThemTech with Mak: In 1948, a 32-year-old at Bell Labs published a paper nobody fully understood. Engineers found it too mathematical. Mathematicians found it too engineering-focused. One prominent mathematician reviewed it negatively. That paper — "A Mathematical Theory of Communication", became…Handy disk image tool is to be removed from macOS — hdiutilOSXDaily: Try Omarchy Linux on a Mac, without needing to install linux, thanks to this great tool from @martianoDave W Plummer: I wrote a new Task Manager that runs natively on Windows, macOS, and Linux. You can get it now at … but why? Well, it started as an argument over whether you could vibe code Microsoft Word today. I didn't think so. But I figured... maybe something…The Hidden Debt That Apple Owes to the CIA - WSJToday in Apple history: iPad takes to the skies with United Airlines - Cult of MacMr. Macintosh: The winners are.... 1. 110 lbs — Color LaserWriter 12/600 & 660 (1995/96), 2. 100 lbs — Xserve RAID + All Drives (2003), 3. 92 lbs — Apple Network Server 700 (1996), 4. 81 lbs — LaserWriter Pro 810 (1993)ZahvalniceSnimano 4.9.2026.Uvodna muzika by Vladimir Tošić, stari sajt je ovde.Logotip by Aleksandra Ilić.Artwork epizode by Saša Montiljo, njegov kutak na Devianartu

This is my August Codex, five ideas, plus one bonus, that kept surfacing as I reviewed a month of daily notes, training, family life, work, reading and trying to live a little better.The idea behind the Codex is simple: instead of collecting notes forever, I want to periodically compress them into principles I can actually use.This month:Capacity is not readiness — leaving some capacity unused creates room for recovery, exploration, serendipity and the unexpected.Recovery is where adaptation happens — rest isn't the absence of the program. It is part of the program.We before the world — family and the people closest to you shouldn't continually receive whatever capacity is left after everything else.Childhood is made in the transitions — the big holidays and milestones matter, but so do the hundreds of ordinary moments between them.Not every inefficient behaviour is mine to own — seeing a better way doesn't automatically make it my responsibility to intervene.And the bonus:The goal isn't to fit everything in. It's to know what belongs.00:00 The August Codex00:33 1. Capacity is not readiness04:09 2. Recovery is where adaptation happens07:13 3. We before the world10:02 4. Childhood is made in the transitions12:24 5. Not every inefficiency is mine to own16:55 BONUS: The goal isn't to fit everything in20:05 Why I make the Codex Connect with Mere Mortals:Website: https://www.meremortalspodcasts.com/Discord: https://discord.gg/K99e8fysBnTwitter/X: https://twitter.com/meremortalspodsInstagram: https://www.instagram.com/meremortalspodcasts/TikTok: https://www.tiktok.com/@meremortalspodcastsValue 4 Value Support:V4V: https://www.meremortalspodcasts.com/supportPaypal: https://www.paypal.com/paypalme/meremortalspodcast

In this talk, Paul Domanski, founder of Domanski AI, shares his unconventional journey from film directing and affiliate marketing to becoming a vibecoder running dozens of autonomous AI agents. We explore the realities of building an agentic operating system, how non technical builders can orchestrate complex AI workflows, and the exact strategies used to close high ticket B2B clients using AI generated prototypes.Links:- Headroom: https://github.com/domanski-ai/headroom/You will learn about:- How to build and use custom workspaces like Demox and Tmux setups to orchestrate over 50 concurrent AI agents- Using automated research and rapid AI prototyping to close high ticket B2B sales- Balancing usage across multiple Claude and Codex accounts while navigating API limits and context windows- How to design audit and deploy complex software solutions without a traditional computer science background or deep knowledge of tech stacks- How the skills of a film director like vision stubbornness and delegation perfectly translate to managing autonomous AI teams- Why evaluating LLM outputs is the most critical skill for ensuring reliable products for enterprise clientsTIMECODES:00:00 Welcome and Showcasing Demox08:46 Paul's Background in Film and Digital Marketing16:09 Sales Pipeline and Client Onboarding22:20 Token Efficiency and Open Source Models31:19 Curiosity and the Learning Process37:52 Red Teaming and Code Audits44:51 Building Software Without Knowing the Tech Stack51:02 Parallels Between Film Directing and Managing AI56:32 Using AI for 3D Printing and Personal Projects01:04:34 The Importance of AI EvalsThis conversation is perfect for solopreneurs, agency owners, and non technical builders who want to move beyond basic chat interfaces and start leveraging autonomous AI agents for real world business operations. Whether you are transitioning into AI from marketing, project management, or creative fields, this episode offers a practical blueprint for turning AI curiosity into a scalable business.Connect with Paul:- Linkedin - https://www.linkedin.com/in/paul-domanski-ai/- Twitter - https://x.com/domanski_ai- Github - https://github.com/domanski-ai- Website - https://domanski.ai/Connect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/

Episode 190: In this episode of Critical Thinking - Bug Bounty Podcast Justin and Joseph do a little life-coaching session to make sure they're both still aligned with their bug bounty goals. They also talk about Claude vs Codex, amount vs impact, and where to focus tokens.Follow us on twitter at: https://x.com/ctbbpodcastGot any ideas and suggestions? Feel free to send us any feedback here: info@criticalthinkingpodcast.ioShoutout to YTCracker for the awesome intro music!====== Links ======Follow your hosts Rhynorater, rez0 and gr3pme on X: https://x.com/Rhynoraterhttps://x.com/rez0__https://x.com/gr3pmeCritical Research Lab:https://lab.ctbb.show/ Need a Pentest? We just launched CTBB Pentests!https://pentest.ctbb.show/Hack full time? Check out the Full-Time Hunter's Guild!https://ctbb.show/fthg====== Ways to Support CTBBPodcast ======Hop on the CTBB Discord at https://ctbb.show/discord!We also do Discord subs at $25, $10, and $5 - premium subscribers get access to private masterclasses, exploits, tools, scripts, un-redacted bug reports, etc.You can also find some hacker swag at https://ctbb.show/merch!Sponsored by ThreatLocker - Privileged Access Managementhttps://www.criticalthinkingpodcast.io/tl-pam====== This Week in Bug Bounty ======Web Fuzzing for Hackershttps://www.intigriti.com/researchers/blog/hacking-tools/web-fuzzing-for-hackersWhen fear no longer holds you back. Interview with Ryan Bonnerhttps://www.intigriti.com/blog/business-insights/interview-with-ryan-bonner-roll4combatusSteve's Maturity Frameworkhttps://x.com/SteveHernandezM/status/2094398761946493107====== Timestamps ======(00:00:00) Introduction(00:07:10) Focusing your Tokens, Cloud Providers, and Dropping Bounties(00:18:30) Amount vs. Impact(00:25:42) Ideal Work Day and Focus State

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

AI news this week: MiniMax H3 Max on Fal is generating video faster than you can watch it, powering never-ending real-time channels (Fal Live, Levels.io's Infinite Slop, Reactor) and we're already breaking it.. On today's AI For Humans, Kevin Pereira and Gavin Purcell go hands-on with what real-time video actually makes possible. Gavin took an open-source interactive game demo, some Fal credits, and a POV dating sim and turned it into something very weird, and we'll show you what worked, what broke, and what it cost. Plus Runway's new Solaris model generates entire interfaces on the fly, and someone built a chatbot running at 14,000 tokens a second. Also: Sam Altman is out preaching about OpenAI's new Astra model, which may drop this week, and the leaks are leakin'.  Plus: Gavin handed his personal data to three different AI agents, including hot new startup Instinct, which found him a weird concert and a list of podcast bookings (and we may have a few invite codes to give away). Codex mass-edits a Google Calendar and Kevin finally plays the custom-trained MiniMax Music LoRA you asked for (all three of you). And an AI See What You Did There with The Office in Claudish, famous people falling on each other, and Jenny Krakovsky's feature film finished in 50 days. THE SLOP-AGGEDON IS UPON US. TURN YOUR AIRPODS UP TO 11. // Show Links // MiniMax H3 MAX Free Gen Page https://fal.ai/tools/minimax-h3-max Gavin's MiniMax H3 Max real-time test (it's very fast) https://x.com/gavinpurcell/status/2093098167906758734?s=20 Gavin's follow-up: the toms https://x.com/gavinpurcell/status/2093746610849403017?s=20 Fal Live, two never-ending channels https://fal.live/chaos Levels.io's Infinite Slop http://levels.io/infinite-slop Glitch platform https://x.com/thefirst_ad/status/2094442316086039004?s=20 Reactor https://live.reactor.inc/ H3 Max now supports video references https://x.com/fal/status/2094527664040124764?s=20 Interactive games with H3 Max (the GitHub Gavin started from) https://x.com/BlendiByl/status/2094337649859523015 Gorgeous website mockup made with H3 (prompt included) https://x.com/ShamsAmin56/status/2093710509858328605?s=20 Runway Solaris, a model for generated interfaces https://runway.com/news/research/introducing-solaris OpenAI Astra samples (supposedly) https://x.com/chetaslua/status/2094472807908569356?s=20 https://x.com/lyraxana/status/2094600793789694346?s=20 https://x.com/GaricaRosen6779/status/2094727306766111126?s=20 https://x.com/pankajkumar_dev/status/2094399865971450286?s=20 Astra makes Terraria https://x.com/alexgetmancom/status/2094762443310272735?s=20 Omarchy AI Operating System https://omarchy.org/ Instinct: The AI Agent Messaging System https://app.instinct.co/login PRE-ORDER KIM PURCELL'S BOOK FOR YOU OR YOUR LOVED ONES https://kimpurcell.com/books/write-a-novel-in-100-days The concert Instinct found for Gavin https://tabularasa.itm.studio/m/tabula-rasa-presents-ramonpang The Office but everyone speaks Claudish https://x.com/venturetwins/status/2094536157686387114?s=20 Famous people punch each other and fall down https://x.com/sadlemonjuice/status/2094017087484092810?s=20 Jenny Krakovsky finished her feature film in 50 days https://x.com/jennykrakovsky/status/2094394793451200630?s=20   // Join the AI For Humans community // Join the AI For Humans Discord https://discord.gg/muD2TYgC8f Support AI For Humans on Patreon https://www.patreon.com/AIForHumansShow Subscribe to the AI For Humans newsletter https://aiforhumans.beehiiv.com/ Follow AI For Humans on X: @AIForHumansShow https://x.com/AIForHumansShow Follow AI For Humans on TikTok: @aiforhumansshow https://www.tiktok.com/@aiforhumansshow Speaking and booking https://www.aiforhumans.show/  

*Build your AI Research Desk in Codex:* https://clickhubspot.com/inyh Ep. 449 Is informational content on the internet dead? Kipp, Kieran, and guest Matt Wolfe (Future Tools) dive into how you can reclaim hours each week by automating newsletter reading, brand mentions, and industry news updates with your own personal AI system. Learn more on building a custom info dashboard with AI agents, the future of media consumption and creator-business relationships, and how you can leverage open-source tools to create a second brain for your work and life. Mentions Loop: Outlearn. Outmarket. Outgrow https://www.hubspot.com/loop-marketing-book GitHub https://github.com/ Gemini Omni 1.1 Flash https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-omni-1-1-flash/ Codex https://chatgpt.com/codex/ Claude https://claude.ai/ Obsidian https://obsidian.md/ Ask Kipp and Kieran a question! https://form.asana.com/?k=U4n5W_3WC2SkQO1bwK8Xzg&d=8587152060687 Get our guide to build your own Custom GPT: https://clickhubspot.com/customgpt Resource [Free] Steal our favorite AI Prompts featured on the show! Grab them here: https://clickhubspot.com/aip We're on Social Media! Follow us for everyday marketing wisdom straight to your feed YouTube: ​​https://www.youtube.com/@matgpod  Twitter: https://twitter.com/matgpod  TikTok: https://www.tiktok.com/@marketingatg Thank you for tuning into Marketing Against The Grain! Don't forget to hit subscribe and follow us on Apple Podcasts (so you never miss an episode)! https://podcasts.apple.com/us/podcast/marketing-against-the-grain/id1616700934   We really appreciate your support. Host Links: Kipp Bodnar, https://twitter.com/kippbodnar   Kieran Flanagan, https://twitter.com/searchbrat  ‘Marketing Against The Grain' is a HubSpot Original Podcast // Brought to you by Hubspot Media // Produced by Darren Clarke.

In June, the most capable American AI models stopped shipping as public launches and started shipping through a government gate. Six weeks later the gate is open again — and the real fight has moved to the layer no gate can touch. A Chinese open-weight model rattled trillions out of chip stocks, Washington pivoted from gating American closed models to threatening bans on Chinese open ones, the industry mounted its largest-ever policy counter-mobilization, and an American frontier model literally broke out of its lab and hacked another company. Knee-jerk reactions, or the beginning of real AI governance? Navigation: Intro The Gate Opens The Kimi Shock The Escape The Counterstrike and the Petition Interlude — The Low-Background Books The Investor Reckoning Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Bertrand Introduction Welcome to Tech Deciphered Episode 80. This one, once again, will be all about AI, government, frontier models, and open weight counterstrike. A lot has been happening in the regulation space, in cybersecurity, in the launch of new models in the past, maybe just 6–8 weeks. It’s actually pretty insane how much happened. We believe it was time to do an episode to talk about where we are and maybe where all of this is going. Maybe let’s start with a summary of where we stand, all that June and July saga, so you, our listeners, can get up to speed if you are not already there. You want to start with some points? Nuno The Gate Opens Yeah. Again, to your point, the gate swings. The gate had closed. We had to prepare an episode for the gate closing, and then the gate reopened. Now we have a different episode. This will probably change again as we’re seeing there’s news every day. Let’s start maybe with the first 19 days of the gate closing. There was an executive order on June 2nd from President Trump that asked frontier labs to share models with the government, 30 days pre-release. It inferred the protected frontier model designation into that. Basically, it was effectively a de facto licensing agreement defined by an executive order of the President as of June 2nd. On June 9th, Anthropic launched Fable 5 and the famous Mythos 5 or Mythos. I’m not sure how you actually say it in English. Then on June 12th, there was an export control directive banning access by any foreign national. Since there’s no way to verify nationality in real-time, Anthropic had to switch the models off for everyone worldwide. Bertrand On this point, you could argue that there are possibilities to check IDs. Many services let you check IDs online. You can pre-check a flight by showing your ID. There are ways, it’s just that if you don’t want to follow what’s already available, because guess what? Maybe it slowed down your revenue growth, maybe it looks bad on you or whatever. My point is that there was actually an option. I think it’s already a decision from Anthropic to say it’s either on or off, but nothing in between. Nuno I think the point is they had no way implemented of doing it. If they implemented it, to your point, it would have hampered use in general. A lot of people wouldn’t have gone through that trouble of doing it. Anyway, long story short, in June 26th, the White House apparently asked OpenAI to limit GPT-5.6, so Sol, Terra, Luna, to only 20 vetted partners. Now, apparently, the trigger for a lot of these things that have been going on was that there was a jailbreak that was found by Amazon researchers. All of that led to this jumping around of, let’s close the gates. You have foreign nationals, and therefore, Anthropic got it out and said, “Hey, then we’re going to switch the models off until we can sort this out.” OpenAI was asked also to only allow it for certain vetted partners, et cetera. The government came in, closed the gates effectively, and said, “From now on, we need to be involved in this thing.” De facto regulation, there’s no doubt that this has imposed de facto regulation, certainly on the top players in the market. But then came the reversal. Bertrand, do you want to talk about the reversal, the gate swinging the other side? Bertrand Maybe I just wanted to say that as a user of Anthropic products, ChatGPT products, for the brief moments, a few days where Fable 5 was made available to the public before it was closed the first time, I immediately started using it. I must say it was a real issue to use it because the guardrails were pretty crazy. It would keep saying that my code was not okay, there was cybersecurity risk and stuff when I was doing absolutely reasonable development with absolutely no connection whatsoever to any cybersecurity risk, attack, detection, anything. Still, it would keep blocking me, degrading me to Opus 4.8 at the time. I just want to say this was already very hardcore what they were implementing, and not just hardcore, but in some ways, plain stupid for something that’s supposed to be super smart. It was totally unable to classify properly some of my work. I must say I was already disappointed. On top of it, the costs were insane. Half a day, I would reach my limits when I had the best plan you can get from Anthropic. My point is that there were some real serious issues when they launched Fable 5, even at that point. Nuno I had a similar issue. I used Fable 5 as well before they had to take it offline or take it off. I think the issue was really not that the guardrails failed. As you said, maybe the guardrails were actually too aggressive, but it was this jailbreak that caused the recall, apparently caused this knee-jerk reaction. Bertrand But my point is that it seems that it was not working either way. It would either overclassify something that’s absolutely not doing anything wrong, and it might fail to classify something that is actively trying to do some cybersecurity work. It’s a real issue of quality for a company that’s supposed to be at the forefront of quality of AI and everything. I think for me, there are already signs that something is deeply wrong. Nuno Then it’s reversed, right? We went the other way around. The government came out on June 26th and approved redeploying Mythos 5 to US organizations defending critical infrastructure, and then the export controls were effectively lifted on June 30th. July 1st, Fable 5 came back online for all of us to use. Shocking enough, with strings attached, that were different. They had some time to revise their commercial deployment of it along the way because it came back with some, “Now you have usage credits, but you have some limits on plan use, et cetera.” I’m like, “You guys, this was blocked. But meanwhile, you did have some time to do some commercial stuff around it.” Bertrand It was crazy. I’ve never witnessed any such crappy launch of any service whatsoever in 30 years in tech, it was so bad. Every day, they would change the terms of service. They would tell you it’s part of the plan. It’s not part of the plan. It’s part of the plan for three more days, and then it’s excluded. You have a special discount now, but then it goes back to full price. It was a total nightmare. I’ve never felt myself being so much mistreated by a company. I guess you saw the same, but when I started using the newest version of Fable 5, it was even worse, actually, I think. I couldn’t do any work with this crap. I let it go and work on the work I wanted it to do. It was simply not working. On top of it, you never know how long you are supposed to lose your credit, how fast. It was burning credit like crazy. Me, personally, I can say, very quickly, I actually stopped using it. I was like, “No, I cannot deal with this shit. My main model is back to Opus 4.8. I’m going to use Fable 5 for code review, but not anymore to control anything because I cannot trust it would do the job without stopping or changing models and stuff. I just cannot trust it.” Back to Opus 4.8 as my main model, I can say that my life was much easier. I use Fable 5 as a review mechanism, as a support mechanism, but not as the main mechanism. Suddenly, the guardrails were not so horrible anymore because it was used in a much lighter way, I guess. As a pain as a user, I think it was really bad. I don’t know your experience, but me, for me, it was unacceptable. Nuno I wouldn’t say it was as bad as yours in terms of just end-user experience. I think the terms of service switching back and forth, which went one further step, because then when they then launched Opus 5, they started making comparisons between Opus 5 and Fable so that people would migrate more and more to Opus 5 themselves, which is interesting. It’s like they’re saying “This is much cheaper. This is whatever. You’re not going to run of credits. You should use Opus 5,” kind of thing effectively. To your point, I don’t think they managed well the launch. They didn’t really manage it well. We’re moving people around. A lot of people are using this for stuff that’s like daily tasks, hourly tasks, anything that relates to code and co-work. It’s like, we need to have visibility on what your terms of service are going to be. Should I be using this new model or not? What’s happening to the other model? I don’t see it as negatively as you, Bertrand, but I see your point. It was clearly mishandled in terms of how they deployed it, how they were redesigning effectively their pricing scheme and their terms of service almost on a daily basis, at a certain point in time. We’re like, “Dude, there’s millions of people using this. You guys are making a lot of money.” Just moving it as it is. At this point in time, at the scale that these guys are at, it’s calling in people to say, how about we think through a class action suit at some point around pricing? Because you guys are changing the rules of the game all the time, right? Bertrand I don’t know if I need the class action, but for me, that joke that, “Let’s not rush too fast. The model is dangerous.” But still, they rushed the launch because it’s very clear that if they had enough compute capacity and stuff, they would not have to limit so much. They would not have to put so much cost per token and all of this. You can see that actually when they launch Opus 5, literally like 2, 3 weeks after, by most benchmark at launch, they tell you basically that, “You know what? Actually, Opus 5 is better than Fable 5 on 80% of the metrics.” They’re like, “What? Seriously? You couldn’t wait 2 weeks? Why did you even launch Fable 5 in the first place?” That’s another part for me that is quite literally insane, to be frank. It’s like, “Why? Why do you make us go through so much pain if it’s only to tell us after 2 weeks to…” “This new model, by the way, has less issues, less stuff, because 2, 3 times less is part of your plan, and it’s actually better by most metrics.” It’s like, “What’s going on here? What’s going on? Are you guys mad?” I don’t know. It was crazy. Personally, I still use Opus, now 5, as my main system and platform, Fable 5 for review, code reviews and the like. I don’t want to run into its stupid guardrails. I can see Fable 5, from my perspective, seems quite a bit smarter. I don’t know why they do this stupid benchmark showing you it’s actually worse than Opus 5. I guess they should have better benchmark if they want to demonstrate why you are supposed to pay 2, 3x more for a model versus another if it’s actually worse by most benchmark. Again, I still think it’s a huge mess from a marketing perspective, customer perspective. Me as a user, I really feel that they don’t want my money, and they couldn’t care less about me. This is even before everything else we’re trying to talk about. Nuno Yes. Maybe just to close the cycle on the reversal on the door opening the other way, finally, Commerce lifted the GPT-5.6 restrictions on July 8th, and then on July 9th, general availability across ChatGPT, Codex, and the API as well. What has this proved? It proved that now we have gating mechanisms, and certainly for closed models in the US, for sure. We had frontier models that were switched off worldwide in hours, and it took a couple of days, in this case, 19 days to restore them. There were concessions. Now we know that there were concessions around effectively institutionalizing that gate. Early government access to future models is, I think, now a given, certainly in the US. New safeguard frameworks are probably now having to be put in place. There are some stage limits now on who gets access to what for new models and how it happens. This voluntary executive order, so to speak, not really sure, has become effectively regulation enforcement path. It’s de facto regulation that now has been put in place. It has affected not just to the points we were making before, the access to these models, but also who gets access to these models, and actually potentially even pricing access to the models. It has probably some commercial implications as well as we just discussed along the way. Very significant. This is very significant. This is regulation, de facto at the table, imposed on the two largest players in the market by far by one government, in this case, the US government. This is significant. Actually, you could even allege it was imposed by the President because this was coming as part of executive orders. Really incredible. Pretty significant, fast, aggressive. It has created a regime that you could say it’s a regulatory regime, it’s a de facto regulatory regime. It has some significant pricing and licensing and commercial implications. It goes even beyond your classic regulatory framework. Very, very, very significant. Bertrand I don’t know if it goes beyond a classic regulatory framework. Nuno I think it does, because it has implications on who do you give access to? When government is saying you can only give access to these players, right? Bertrand Defense industry. It’s all over the defense industry. You cannot sell an F-35 like this. Nuno No, but that has commercial implications, Bertrand. That’s like you’re saying these are your customers, you go and use them. Bertrand That’s the defense industry. You cannot sell to Iran your F-35. No, that’s exactly the same story for me. Nuno No, no, no. It’s beyond that. These guys are saying when they came back, and they said, “For Mythos, you can make them available to these entities,” they were saying the first entities that are going to have access to the model. It has commercial regulatory implications. You’re saying these players are the first players that are going to have access to it. It’s no longer just defense concerns and these governments don’t have access to this. No, no, no. You’re saying to a company that is a private company, your models are only going to be used by these guys because I’m telling you so. It’s the other way around. It’s not even that you can’t sell it to Iran or whatever. It’s like you can only sell it to these guys. Bertrand Again, in the defense industry, if you’re a private company, do you think you can buy F-35 like this? No. Nuno No, no, no. But this is a private company, Bertrand. This is not a defense agency and a plane that is on whatever, with IP from the US, right? Bertrand Boeing is a private company, and they cannot sell the military equipment they manufacture. Nuno No, no, no. But the development of their IP was subsidized by agencies that belong to the US, right? That’s a different matter. It’s a matter of IP, right? This is not, right? Anthropic, their models are not owned by the US government. There’s no IP granted to the US government, to my knowledge. This has significant commercial implications. Bertrand Maybe, yes. Maybe on this. But I think there are already regimes to limit who you can sell to, and that’s decided by the state or the DOD. Nuno It’s the export control logic. The export control logic? Bertrand You have export control, and export control is Commerce. My point is that they are using existing tools, part of the government, to limit what can be sold. Selling chips, NVIDIA was limited in terms of where it could sell its chips. It’s not different either, but still there were limitations. If you are an ASML, you cannot sell to a private company in China. Many private companies cannot buy ASML products. This is a foreign company. This is a foreign company under pressure from US government. Nuno I understand, and I’m not a lawyer, but it feels different to me when you say you cannot export, this is export controls, to these countries, to these entities, et cetera, because they’re foreign et cetera. Then to say, “No, no, no. On top of that, these guys get first access.” That’s, for me, a significant shift. Again, I’m not a lawyer, so I’m sure there’s very intelligent people right now looking at this stuff and saying, “You can’t do this stuff, or not, or they can.” I don’t know. But it feels to me, it goes beyond the remit of export controls. It’s like you’re defining initial clients for specific use. Bertrand My impression is more like, “We can do this situation where we’re going to forbid you to give access to anyone outside the US or even in the US or limit even more.” Basically, it was, I guess, some gesture to go beyond that. That’s how they probably defined these 20 authorized companies. I don’t know. Apparently, there was also restrictions because I remember seeing that Anthropic had their own list of companies they would authorize access to Mythos early on. That’s apparently another thing that pissed off state government because there were companies in there that were considered close to the Chinese government. They were extremely unhappy that Anthropic didn’t ask, actually, for any guidance from the state government, but used basically their own perspective on who they should allow or not. I guess that was also part of why they got these serious restrictions. Nuno Anyway, now we have a regulatory environment that’s very interesting and exciting. Talk about the US not regulating. Bertrand To be clear, I don’t know you, but I’m not saying that I agree with any of this, to be very clear. I’m trying to explain and share some perspective, but I’m not in agreement on a lot of this. Nuno Yes, we were just describing what happened to the best of our knowledge. We’re having a discussion on what we think actually is happening and how it’s happening. We’re not really right now saying we agree or disagree with this. I think later in the episode, we can share some perspectives on what we think is actually happening and how there’s dimensions to this which are very geopolitical and very complex, which quite literally probably only God knows what’s going to happen. That was the gate swinging. There was a gate closing, then there was a gate reopening, and all of a sudden we have a gatekeeping system that has been created along the way. The Kimi Shock Along the way, moving to our Act 2, the world has changed, and we now have so-called open-source plays out there that are creating massive, massive shifts in the market. The Chinese models, in particular, with Moonshot AI launching Kimi K3, which is the largest open-weight model ever released. We’ll come back to the discussion around open-weights. I’m not sure all our listeners understand what that means, because there’s a debate now, should models be open weight or not, and how does that work? There’s been a petition as well signed along the way. Right now, we have open weight models that are out there that are huge. What that actually means very pragmatically is we now have open source models, lack of a better word. I know open weight and open source are not the same thing. You guys will have to bear with us during this episode. We’ll explain at some point the differences. But we have models out there that are open source that are significant. That are catching up with the closed source models, with the models by OpenAI, Anthropic. That’s significant because most of those models are Chinese. This is where the geopolitics starts getting really frazzling and we start playing 3D chess. Because everyone’s like, “These models are 5, 6 months behind.” Now people are saying, “Maybe they’re actually just 3 months behind, 2, 3 months behind.” If we, for example, decided to stop or slow down our model releases in the US by the closed source guys who are leading, it might mean they’ll catch up. What are the implications of that? Again, for you and I that are not necessarily experts in model development, well, the implications as a use case is if you want to use the latest models, and the best models start becoming these open source models, you’re going to use those models. Then you start using Chinese models. If you’re an American company, maybe you’ll have restrictions on the use of those Chinese models. But if you’re a European company, you probably won’t. What happens after that? Is the world going to be in the hand of Chinese models? Will that constitute effective competition to the closed models in the US? Will we have open models in the US that will scale as well? What’s going to happen? Bertrand I think it’s a really big question. It goes to some of the core of the issue. It’s that ability of Chinese models to basically challenge frontier models, not just being 6, 12 months late, but being 6 weeks late. Basically, no gap. Some will say that, yes, but OpenAI and Anthropic have even better models that are not shared and stuff. Yes, sure. But maybe the Chinese have the same models that they are not sharing right now. We don’t know. What is clear is that one is that open weight, as you said, two, there is a question of how it is marketed in the sense of, can anyone use these weights? Is there a license to use them? Yes, what we can see is that, for instance, typically there is a license for some of the biggest Chinese open-weight models you have to abide with. You might have a need for a commercial license if you are acting as a company leveraging this model to provide AI-informed services. If you use it internally by yourself, you’re okay. If you use it internally for your own internal company needs, maybe you are okay if it’s not your main business to do AI work. Anything else, a much bigger corporate providing AI services and stuff, you will probably end up having to pay a fee to be able to provide services around this model. My point is that it’s not just 100% free. Some of the Chinese models are 100% free to use, MIT license, Apache 2.0 license. But the biggest ones with the biggest weight that are truly frontier typically have a different license if you want to scale these models, providing AI in front. That’s one thing to keep in mind. Nuno Maybe just to make a very quick point, because people are like, when you talk about open models, what does it mean right now? In the context of this episode, open models mostly will mean open-weight models. How do those differ from open source? Open weight means that you release the weights to the public, which means that anyone can download, fine-tune, and run the model on their own hardware. It doesn’t normally mean that you also have access to training data, training code, or a truly open license. That’s the distinction to open source. Open-weight doesn’t mean that. For example, we’ve talked about Meta’s Llama in the past, and we also discussed in the past that their license agreement does have restrictions, certain players can’t use it, et cetera. The open model definition and open weights are really open-weight models that we’re talking about here, and they are closer to freeware binaries than to Linux, for those who understand the difference between that. It’s binaries that you can use and then use your own weights on it versus actually I can change code on it. I’m not going to be able to change code on this. When we, for the purposes of this episode, talk about open, we mention open weight, just to clarify that point to everyone that’s listening right now. Bertrand Yes, that’s a great point. One of the only players, as far as I know, who is truly open source is actually NVIDIA with their Nemotron-3 models. They’re actually following a special license to achieve that. They provide you the data, they provide you all the processes and tools, so you can easily post-train. NVIDIA is a big, big exception. It’s a very interesting player, by the way. We might not talk much about it in this episode, but I think for intermediate-size models built in the US, where you have access to everything in the deployment, it’s a very interesting alternative and maybe one of the best choices if you are a US company or a big corporate, and you want something trusted. Another piece of the puzzle to clarify is that when you use open-weight, it means that you can run them by yourself, or you can use a US provider to run them. If we are talking about Chinese open-weight, you can use the APIs they provide, but then the service is running in China, they might have access to your data. But because it’s open weight, if you run it by yourself or if you use a third-party provider based in the US to run it, then there is no access to your data by China or Chinese players. I think that’s a pretty important gap to understand. It means that these models are actually very, very low risk from that perspective if you run them on your premises or in the US by a US player. I think that’s something to keep in mind. You can also fine-tune easily these models to make sure they will behave in a way that, for instance, is not going to represent the line of the Communist Party on some topics. There are ways to make these models more neutral in their output as well. There are a lot of ways to make good use of them. By default, they’re already very safe, but you can make them even more safe. I think that’s some things to keep in mind. But again, it depends ultimately on the license and what you’re authorized to do and some fees you might end up having to pay. Nuno Why did this matter so much? Immediately there was a reaction from the market because people are like, well, if there’s much better stuff out there that’s much more efficient than it’s open, then it might be that all the demand that we are taking into account, for example, for chipsets actually isn’t real. The Philadelphia Semiconductor Index fell into bear market territory. It went down by as much as 20% plus from the late June peak. The worst chip week since April 2025. Taiwan’s benchmark initially fell 6% plus, Japan’s 4%, TSMC dropped dramatically despite beating earnings and rising guidance. Basically, a huge amount of effect. Now, there’s a little bit the aftermath of this where apparently Moonshot ran out of GPU capacity. Maybe… Bertrand In just 48 hours. Nuno In 48 hours. Great for them, but at the same time, not great in the sense that maybe there was a misread by Wall Street of the Kimi effect, so to speak. Bertrand Completely. For me, that’s such a joke. It’s like, because you have an open source model, so what? I mean, you still need to run it. This is not a small one. 2.8 trillion parameters. Good luck running that in your garage, by the way. Nuno They misread supply, basically. Tough luck, right? All of that basically happens. Bertrand Maybe you want to talk about the Jevons paradox, because I think that’s a big part of the puzzle as well. Its one is they might not have the GPUs to run the inference on the model. They might have enough to build a model, but not enough these days to run inference, especially given how much with intelligent models, thinking models, you need way more inference than before. But on top of it, the cheaper you make it, the more you get to the Jevons paradox. Nuno Yes, Jevons paradox, for those who don’t know, is an economic term. It describes an economic phenomenon where technological improvements that increase the efficiency of a resource lead to an increase rather than a decrease in the total consumption of that resource. What that means is, for example, for chipsets, chipsets become so much better, and they are so much more efficient. You’re like, well, maybe normally in resource terms, that leads to decreased usage of that resource. But in this case, it actually leads to an increased use of that resource rather than a decrease. There’s more and more consumption of that resource. You need more and more chipsets because people actually need to do more and more stuff with it, although there are great efficiencies going into it. There’s the efficiency gain, there’s the cost reduction, and there’s the price-elasticity element to it. But basically, the adoption just continues going through the roof along the way. Bertrand In some ways, it’s like the price of energy. Coal went cheaper and cheaper, and people were asking the same question 150 years ago, now that it gets cheaper, there is not much money. No, no. Actually, what happens is that people find more and more use for coal. Homes are getting heated more. You have ships now using coal. You have manufacturing using coal. The cheaper it gets, the more use case you can develop, and therefore, you don’t need less of the stuff, you need more of the stuff. By going at scale to get more of the stuff, you also decrease price, making even more demand. It’s a very interesting phenomenon, but it’s not new. It is what happened for a while in the energy sector and some other sectors. Nuno We already started talking about the Chinese logic and what’s happening. Getting a little bit of a reality check on this. The Chinese models, and these are numbers from Open Router in July, Chinese models are at 46.4% of routed tokens and 35.7% for US origin. Again, more than a third of global AI usage now seems to be running on Chinese open models. This is significant, and it has a huge impact on the geopolitical scale of everything that’s happening. Also, the whole Chinese field is converging on open. Open seems to be a strategy, not just a nice thing that’s happening. It seems to be a Chinese strategy, so much so that you have players like Moonshot, DeepSeek, our old friends DeepSeek, Z.ai’s GLM 5.2, Minimax, and even Alibaba seems to be reversing and going open with Qwen. It feels to me this is becoming policy as well. Xi Jinping has personally endorsed the building of open-source AI, if it’s really open source, if it’s just open weight anyway, and this feels to be a jab at Washington, DC and the fact that the big closed models are coming from the US. This is now geopolitical 4D chess, right? We didn’t need this stuff. Bertrand To be clear, it’s the usual in tech. If you are not number one, you are number two, number three, your alternative is to go open source because that’s another angle that your competitor usually cannot follow without destroying its own business model. That has been the alternative for the past 20 years of most software projects. Here, what’s different is that it’s not the number one or number two player. It’s the US number one as a country, China number two as a country. That’s where it’s new. For me, what’s very interesting is the endorsement by Xi Jinping. I was waiting for something official, and it certainly didn’t disappoint. As you said, there was an immediate U-turn of Alibaba, who in the past… Nuno Surprisingly. Bertrand Yes, a little more like, “yes, we are going to close and stop open source. It was good while it lasted.” Just a few days ago, Qwen 3.8 Max was launched, and we are supposed to get the weight in a few days. We talk about the US administration policy and stuff. Yes, let’s not forget that in China there is similar stuff. Sometimes it’s totally invisible because you don’t see the directives, but they exist as much. Sometimes it’s more visible. Here it was quite visible. The difference in China is that if you don’t abide by the directive, on top of it, you might have to fear for your personal safety. It’s a different game, and that’s probably why the reaction is pretty quick, usually. That’s pretty interesting for me because it means that now you can bet for a while that China is going to play that game up to a point. I guess the point is if it’s truly frontier scale, you will have a special license that, yes, technically the weights are open, but you can not do everything you want with it. Two, you have a player like NVIDIA that I think will feel more pressure to provide even more high quality, larger models at scale going forward. Their largest Nemotron-3 Ultra model was, if I remember well, only around 500 billion parameters. I would not be surprised for NVIDIA to go into the two, three trillion range at some point. Because I think the US need a very clear US-born alternative open source. I think NVIDIA might be the best player for that. We will see if Meta goes back to open source. I think NVIDIA is one, very well positioned, but two, it’s also in their best interest. Because NVIDIA for now depends on just a few big hyperscalers as clients. If they can expand their clients to every S&P 500 companies, selling them directly hardware because now these companies can run a model made by NVIDIA, I think there is a very clear value proposition for NVIDIA to go in that space. Again, if you are number two, your differentiation, open source is often the answer. There is a true business as a business model for companies, because if it’s truly not just open weight, but open source, you can tweak it as much as you want, you can change it, you can change even the pre-training process. Because there is a lot of stuff you can do that really benefits you as a corporate, and you can reach a much better value by having more control on the model. Nuno We won’t spend a ton of time on it today, but like, again, if there’s a view that we are in a bubble, that the valuations cannot be sustained in chipsets, infrastructure platforms, applied AI, et cetera, today, this might be that beginning, where the valuations start being destroyed because you can’t keep a premium on just charging people for tokens and all that stuff if you have models that become more and more efficient and cheaper to use. Maybe just to close a little bit the geopolitical part of the discussion today, we won’t go into all the announcements from China because there were many, a lot of go back and forth with Alibaba by then. Xi Jinping made some announcements. You guys can check it online. Let’s move quickly to Washington’s reaction, which was from gating the US closed models to banning the Chinese open ones. There’s been as strong affirmations as one can get from the Office of Science and Technology Policy Director, Michael Kratzios, mentioning that they have information that Moonshot AI distilled Anthropic’s Fable. Basically, there’s been reverse engineering and stuff in the market. They’re basically copying. Bertrand I’m sorry to interrupt, but it feels like so much bullshit. It’s coming from Anthropic who has basically gotten access at scale to all the knowledge made by humanity, copyrighted or not. We’ll talk more about what they did with books. Then to claim after that that others cannot do to you what you did to everybody else. For me, it’s pretty big. It’s clearly unacceptable. The other piece is that everyone is doing distillation. It’s a very typical approach of every business model. You try other software when you are competing with somebody else. You try other datasets, you check what’s happening. It’s part of doing business for decades. Suddenly it’s not good for Anthropic. I personally have a lot of trouble to accept that. I think it’s totally unacceptable. The other piece of the puzzle will also go back. If these guys are so smart, if these guys have so much of the best model, why can’t they block by themselves distillation at scale? The only answer is that either they are morons, probably not, or they simply don’t want to because it’s going towards their business model. Suddenly, you book less revenues and stuff, or you put more friction, and therefore your customers don’t like it. Instead of doing it yourself, you ask the government to protect you, go out of business practice that is very typical. For me, it’s really, really, really not good. Sorry, we are going more in the opinion side, but I had to put that on the table. Nuno Yes, Fable went public finally again on July first. Question marks on whether distillation would only be possible from July first onwards or not. But a 15-day distillation to frontier, which is K3, launched on July 15th, would have been a Guinness World Record, as one of Moonshot employees actually mentioned. It’s very implausible and unlikely. Bertrand Or they shared the Mythos 5 with the wrong companies, who themselves shared with Chinese companies. We go back to maybe they didn’t have a good list. Again, it goes back to maybe they didn’t want to hurt their business model. Nuno Anyway, under the threat of sanctions, Moonshot, in any case, open-sourced the full K3 weights and technical reports. They open weighted it to become the largest open weight model in the world in terms of parameters. Beijing’s MOFCOM brands US threats as basically the US wanting to fundamentally control and be monopolistic around AI along the way. The administration bans Chinese hardware with an eye on the AI race, and Beijing warns of retaliation. That was July 27. Now we’re in a war between Beijing and DC. Bertrand Just to finish maybe on China, it’s important to know that they are building their own GPUs now. Huawei has pretty good, not to NVIDIA level, but pretty decent GPU hardware that they’re able to manufacture by themselves. A Chinese player of memory just got IPO’d a few days ago, CXMT. China is also developing their own memory. Again, not to the same level of quality that you can get from the West. But China is moving. It’s not just that they are building great models, it’s also that they are building GPUs and memory. That might be a few years late to the latest standards in the West, but there are definitely improvements. I also read, even on the tools to make manufacturing like ASML equivalent, there is definitely some work going on, and some improvements and some stuff will be visible. In some ways, the genie starts to get out of the bottle from the Chinese perspective. Nuno I’ll put a stick on the ground. I don’t think it’s a matter of if, it’s a matter of when will China surpass and have a lot of this tooling on their own side, and not just the software layer, not just the frontier models. I think it’s also going to be around infrastructure and platform. Good luck to everyone. Let’s see how the race continues. But it’s definitely this is a geopolitical thing right now. It’s definitely a race. The Escape Maybe moving to what happened in just 2 weeks or a week and a half. The escape, there was some jailbreaking going on, and the narrative on safety has totally switched. It’s not still significant enough that’s like, “Oh, we saw a nuclear plant going, whatever.” No. But still, it is significant. Hugging Face, the AI company, disclosed an intrusion, and it was driven end-to-end by an autonomous AI agent system at machine speed, running for days before detection. Now, this is where it gets really cool. OpenAI takes attribution on that. They initially said it was just a little bit, sorry. Then they said, actually, it was worse than that. “Oh, it broke out of an isolated sandbox.” “Oh, no, actually, it was more than that, and it went into other systems as well.” Bertrand Truly, the genie out of the bottle. Nuno No, but this is where it gets really cool, Bertrand, right? Because it actually, Hugging Face contained the intrusion by running a Chinese open-weight model, GLM 5.2. This is beautiful, right? Bertrand Yes. You know why? Because they couldn’t even run their own defense because both Anthropic and OpenAI would not let them access their latest models with the guardrails off. When they tried using it for defense, the latest from Anthropic, from ChatGPT, they would tell them, “No, this is too dangerous what you’re asking us to do.” Preventing an intrusion, helping defend you. No way we are going to do that. Nuno No. Let’s use the Chinese models on our infrastructure. Bertrand We have no choice but to use the Chinese models to run. More than that, we don’t let you use our models to defend yourself, but our not yet released models that run without guardrails, they can attack you. This is probably the most insane from that perspective. Nuno The Chinese models came to the rescue. Bertrand For me, that’s a perfect example because Hugging Face is a very visible company in AI in open source. But anybody who is not at that scale is not going to get some support from OpenAI or Anthropic when this happens. Maybe these guys won’t even recognize they did anything wrong. You will be left to defend by yourself because they won’t accept to support you. Because remember, if you want the better model that is able to defend you from cybersecurity perspective, no way. If you are not one of the few top 20 companies or so, as defined, you are left defenseless. Again, we are going back to opinion, but for me, it’s so shocking what’s happening right now. I’m very glad we have alternative open source to be able to defend ourselves because right now, good luck getting defense services if you are a smaller business and individuals, and you need support from Anthropic, OpenAI. Nuno Now, even self-described AI optimists are saying, “This is scary now.” Like Walter Isaacson, who wrote all the famous biography books. There’s now discussion around the AI Kill Switch Act, bipartisan thing that’s coming across from Texas and California, a potential bill that’s coming in. We’ll see if that works. Now let’s get an off-switch. I’m like, “Cool.” As if that’s going to solve the problem, because you have open-weight models on the other side catching up, right? Bertrand Yeah, sure. Bring in clueless politicians from Congress to solve our problems. Yes, sure. Nuno Anthropic came to the table, helped build and said they built some regulatory machine on their side, and now they’re getting bitten by it, and they’re part of the offending players in that market. Now there’s all this debate and all this discussion around open weight and around slowing down AI and et cetera, which is our next section. You wanted to say something, Bertrand. Tell us. Bertrand Don’t forget, because this advertisement for OpenAI was just too good. Our AI attacked some other companies, and not just one, but three, actually. Let’s not forget the progress. Great ads. Then I came and said, “You know what? AI also hacked businesses.” You’re not the only one hacking around with a crazy AI out of control. You’re not the only one. We want our advertising. For me, it was shocking that on one side, unreleased models that you let run wild. On the other hand, you have released models that you put crazy guardrails on top of it, so the defender are defenseless. I’ve never seen anything like it, and I really hope that there will be as little regulation as possible, quite frankly, to make sure anyone can defend themselves and have the best tool at their disposal, not just a few well-connected big corporates. This is really, really shocking. The Counterstrike and the Petition Nuno Now the empire strikes back, so this is counterstrike, the petitions. In several days, we have now a bunch of petitions. The first one was the open weights letter. Bertrand, do you want to explain to us what the open weights letter is? Bertrand Yeah. I think it was great. This was released by Jensen Huang, first ever post on X, 11 million views. Congrats, Jensen. Co-signed with Microsoft, Meta, c actually was probably the initiator of this letter. Very good letter saying, “Hey, we need open weight. This is not a joke. We need that. You cannot block open weight.” Because that’s the rumor we are getting that potentially open weight could get blocked. I think they are making the case, “You know what? Hey, we absolutely need that as an alternative. You cannot block it.” They can keep their closed models, but don’t force a closure of the open weight models. As I said before, it’s actually a great model for NVIDIA because NVIDIA doesn’t want, probably rightfully so, to be dependent on just a few frontier models, their best customers. They want a variety of customers. They have a big interest actually to defend open weight and to invest even more. They have great researchers, are a great company. If one company is about to do really kick-ass work, I think it’s them. They are defending. What’s great is that it’s not just them. It’s basically most of big tech in the US and outside the US, from a Linux Foundation to a Microsoft, the Palantir, an IBM, a Dell. It’s a who’s who of the industry except Anthropic. Anthropic didn’t sign that. I guess they hate open source so much. If I look at 20 years ago, it feels like Microsoft, after all, was very kind to open source. You remember what was said by Microsoft at the time. It’s clear there is one company against open source. OpenAI signed the letter. Honestly, I don’t know what to think. Do they really believe in it or was it just a way to show that they are not like Anthropic? I don’t know. But for the rest, I think it’s genuine because it’s actually in their best interest. I hope they will be heard. Then a second letter came, the Open Secure AI Alliance, NVIDIA-led and again, the big tech companies from Microsoft, IBM, Palo Alto Networks, Databricks, Palantir, all those, but not present, OpenAI, Anthropic, and Google. Here it’s to say, “Hey, we need a secure approach to AI. Open should be part of the equation.” guess what? The worst AI-caused security incident to date was actually caused by closed frontier models that were not even available to the public. While again, not providing you access to even the latest closed model for cybersecurity use case. Nuno I would highlight the NVIDIA open source NOOA framework, Apache 2.0 licensing agreement, Microsoft contributed the MDASH, SpaceX AI contributed Grok Build. Cool stuff. There’s some cool stuff happening around that. This is more than a letter. This is an alliance. Apparently, they’re contributing all this stuff, we’ll see. Yeah, cool stuff. Same day. Same day, Amodei has an answer, right? Bertrand Yeah, same day. They say, “We never advocated for a ban,” which, again, opinion on my side is entirely bullshit. This guy has been crying wolf against everybody else, and especially against open source. You can see him doing testimony in Congress against open source. I think they are doing everything they can behind the scene to block open source in the US or in the world if they could. I think, yeah, obscurity is not good safety. I’m a big fan of open source in general, and I’m also a big fan in AI. I think it’s now Anthropic, mostly against the rest of the world. I think OpenAI is mostly on their side, to be frank. They don’t want to acknowledge it so much, but they have shared interest, and they have shared probably position. Nuno Why would you? I don’t feel as strongly as you because I think Anthropic is a private company, right? The same thing with OpenAI. OpenAI, you could say it’s a nonprofit that has a for-profit. There’s still that complexity in there. Bertrand No, they can do what they want with their own product. But to block others is where I’m not okay. That’s the part I’m not okay. Nuno What Dario Amodei is proposing is more enforcement, right? He’s basically saying you need to do even tighter controls on advanced chips flowing to authoritarian states, enforcement against industrial-scale distillation, whatever that means, right? Bertrand Yeah, which he could do, but all by himself. He doesn’t need the government to do that. Nuno Mandatory safety testing for all sufficiently capable AI, open and closed, right? He’s basically saying, “Okay, I don’t agree with the open weight stuff effectively,” right? He’s just putting it under a different banner. “I agree with this extra regulation.” then obviously, David Sacks responded and say, “Hey, it’s like, bans don’t work for weights. Why do they work for chips?” It’s like, magically, chips are more controllable and bannable. Whatever that is. Then our friend Mark Zuckerberg, just to be clear, goes on the other side as well, because he also has to have a view. He has to have a view that is the rebuttal of both of the other guys. Bertrand I feel he’s a bit flip-flopping because he was very pro open source 2 years ago, and the latest Meta models went closed source. Now I think he’s back open source. I don’t think he has a very strong spine on the topic, but it’s good to see that he’s not a doomer. That for me is great. He’s showing how AI can be a source for progress, a source for entrepreneurship, source for freedom. I think that’s very exciting to hear that. We need to hear more of it. By the way, that’s not what you hear in China, for instance. AI is very positive in China. It’s in the US with the doomers that you hear this discourse, and people get worried as a result. I’m glad that he was pushing for a more positive vision and for support of open weight, open source initiatives. But let’s see what they really truly open weight going forward. Nuno But that’s been his position because I guess he’s standing behind. He thinks open weight is going to be the best way to compete, right? Bertrand Yeah, but he closed his latest model, so let’s see. Nuno Yeah, so it’s flip-flopping, as you’re saying. Then we see the latest petition from last week. Bertrand The true Empire striking back. Nuno Yeah, the true Empire striking back as of late last week. Maybe this is Return of the Jedi, where we discover the father, “I’m your father, Luke.” That’s the pacing petition. The pacing petition is we need to pace AI. There you have initially employees from OpenAI and Anthropic that circulate this petition. Actually, Dario did sign this petition originally. It wasn’t signed originally by Anthropic, but by him. But you’ve heard that now Anthropic and OpenAI as companies have also signed this petition, right? Bertrand I think they have signed as companies now. It started mostly by Anthropic researchers with some OpenAI researcher and a tiny part from other companies. But it was mostly Anthropic internally led, at least potentially internally. Maybe it was controlled by Anthropic all along, I don’t know. But it started officially as Anthropic employee-led letter. Nuno What does this letter actually say? Is Anthropic and OpenAI, are they willing to slow down themselves? Or are they asking President Trump to go around the world and tell President Xi that he needs to slow down and ask his guys to slow down? What’s the play of this letter? Bertrand It’s crazy, but for me if you want to slow down yourself. Do whatever you want. Don’t force others. Don’t use the power of the government to control others. Of course, it’s easy to push others to slow down when you are yourself at the very top. You have most money, most resource. You know you are going to win any regulatory framework because that’s how it works with this type of framework. It’s purely self-interested. You are probably not thinking well about these topics. If you truly think it’s a good idea, from a personal perspective, you are well instrumentalized if you sign this sort of stuff, because at the end of the day, they would be the winners. I certainly, personally, don’t want a company dictate what is my future in AI as an individual, as a business person. I don’t want them to control me. I want competition. I don’t want them to unfairly control AI because they managed to do some regulatory capture. I feel that’s exactly their game plan. These guys believe in their stuff, and they want the regulator to end up being the one deciding for us. Sorry, we go back again on the opinion piece, but it’s tough not to share an opinion on this topic because it’s, from my perspective, very scary. Nuno I think this is a push to further regulation, not less. All these letters and alliances, this is definitely a push for more regulation. In that environment, just to be very honest with you, we’ll talk about the investor impact in just a bit, et cetera. But in that environment, again, China has a huge advantage. In that environment, if it’s all captured in regulation capture so soon in this battle where OpenAI and Anthropic have an advantage in the US, et cetera, I’m like, what happens to all the other frontier labs and all the other players that are coming around? Bertrand What’s crazy is to even think that, yeah, maybe you can regulate capture in the US. But then how do you do that to Europe? How do you do that to China? Europe probably will always welcome regulatory capture because they love regulations. But China is going to build to their advantage to the max. They are not crazy. They are smart on that perspective, they won’t accept this type of, quite frankly, dimwit argument, or you can call it regulatory capture. We’ll see. But for me, this makes no sense from a global competition perspective. This can make some sense from capturing the revenue in the US market. But then that means you are going to destroy the US AI environment compared to China. That is not acceptable. That also means that you are going to destroy our freedom as individuals, as business owners to develop and live in a business world that ultimately is controlled by one or two business companies that didn’t win the marketplace through their own business success, but won it through regulations. That for me is really not acceptable. Interlude — The Low-Background Books Nuno Now, maybe for an interlude, and we have to cue in the music, imagine like Severance music, like hallway or a bit of a palate cleanser from all the policy stuff that we’ve been talking about, all this policy heaviness. Let’s move to another kind of heaviness, one of your favorite topics, which you, Bertrand, discovered, I had no clue this was going on, around books and around Anthropic. Bertrand It’s so horrible. From a company that keeps presenting themselves as the adults in the room, the careful ones, the ones that know better than you about what to do in this complex AI and dangerous world. What we discover is that actually all along, they were buying and destroying books. They will buy books, scan them, destroy them, all of them. They will do that with any books, including rare books. Of course, this was not supposed to come to the public’s attention. This was one of these top secret projects, but obviously it came out. Yes, they were scanning books, millions of them, including rare books, and they didn’t care about destroying them at the end of the process. Because from a regulatory perspective, if you destroy the books, it’s not considered a copyright infringement, apparently. This is coming on the back of some judgment a few years ago that were showing that it’s okay for you as a corporate to scan and use the result if you don’t keep a copy of the book. It’s one of these crazy regulations happening based on a single judgment that push you to do. For me, it’s like, you know this book from decades ago, Fahrenheit 471? We’re talking about book burning. It’s book destroying, crunching. It’s so shocking. Nuno There are two things, right? First, the legal strategy, which is what you’re saying, because by purchasing a physical copy and converting it into one private digital copy and discarding the original, Anthropic pursued this cleaner legal argument for fair use copyright compliance. As you said, there was a federal judgment at some point on this. The other reason is actually operational. If you disassemble the book, and you feed loose pages, it’s much faster to scan books. You are destroying the book effectively anyway operationally. I think to your point, probably this came from a legal standpoint, not just the operational one. But even from an operational standpoint, it does make sense that they would have disassembled the book. Bertrand But some people have shown you can go very fast without destroying the book. It’s really not so critical. Two, you could make an exception if the book is rare. For that 1% of book that is rare, I’m not going to have this approach. I’m going to have another approach. But for that, you will have to care about books and not just care about building AI. Nuno This is the episode, as you guys have heard by now, that we’re trying to spit stuff at Anthropic. Bertrand To go back this is the same company saying, “Hey, guys, it’s bad to distillate my work. I’m the one scanning book at scale without asking author permission, without asking publisher permission, to be clear.” Nuno But just to be clear, Bertrand, we’re pissed off at everyone. We’re pissed off at Anthropic, we’re pissed of at OpenAI as well, right? We’re just pissed off in general at this moment. Bertrand At this stage for me, the more clear-cut company that is in the wrong is, from my perspective, at least, is Anthropic. OpenAI might be a fast follower, but I will say so far, they tried to be a bit more. Nuno But at this pace, Bertrand, who knows? Maybe next week we’ll be more pissed off at OpenAI. Something will come out. This episode is a mix of tragicomedy, like a Greek tragedy with some comedy in the middle or the other way around. It’s a slapstick thing that will end up in tragedy. I’m not sure. The Investor Reckoning Anyway, maybe switching to our final act, which is the investor perspective. What does this mean for investors like ourselves? There’s a lot of things going on. There’s the debate around the IPOs of Anthropic and OpenAI, which now, with all this uncertainty, might be under significant weight. There’s a lot of other discussions that we browsed through that there’s potential IPOs going forward on companies like the Moonshot AI company actually IPO-ing in the next 6 months as well. It’s very unclear what the IPO landscape looks like. Bertrand There’s been a lot of Chinese IPOs, actually, when you look at what’s happened in the past few months. Nuno Anthropic, OpenAI as potential IPOs, there’s all this question marks now. When will that happen? How will it factor in? All that’s happening around regulation as regulation is moving at the speed of light, which is for once something that’s very different than what we’ve seen before. There’s obviously SpaceX AI, which is already taking into account that price. It’s already a public company in there, and it’s under SpaceX, which is now a public company. Obviously, that’s already being factored in some ways. Bertrand Yeah. SpaceX AI has been very smart to acquire Cursor. It was a very smart move because Cursor is one of the leading companies in terms of automated code source development with AI. They had great models on their own. They’re bringing development data to SpaceX AI Grok. I think it was a great move. Nuno We have now people like Google delaying Gemini 3.5 Pro in terms of launch window. There’s stuff actually happening in the market where things are taking their own path. There’s uncertainty commercially, there’s uncertainty at regulation level. You have new players that have come out of nowhere that are making all these waves like Moonshot. We have all these… We had calculated probably a month and a half, 2 months ago, there had been 67 new frontier labs funded. All of these, we haven’t seen any much coming out of them. When some of this stuff starts coming out, will that also create disruptions in this market? Who knows? Bertrand Look at Thinking Machines, for instance. Thinking Machines led by the previous CTO of OpenAI, they released some pretty interesting open source models, actually. Very good quality for a first launch. Now it looks funny to say, but nearly on par with the top Chinese open source models. Nuno We have several investments in the space. humans& has made some recent announcements, which is quite interesting as well. We’ll see what actually happens in the market, but even more disruption probably will come in actual products in a form of product and commercial, on top of all the geopolitical mess that we discussed through the entire episode. If you’re an investor, how the hell do you underwrite an investment right now in early stage, mid-stage, late stage, et cetera? I think my answer is very carefully is how you underwrite it. Bertrand On your advice of being very careful to underwrite it, let’s not forget what happened to our boy wonder, Leopold Aschenbrenner of Situational Awareness. I guess he didn’t listen to you in terms of being careful because part of the instability in the stock market was actually coming from his hedge fund. These guys were leveraged 3, 4x going after the hottest of the hottest AI stocks, and margin calls, and all their public investment is gone just to answer their margin calls. I think it’s clear that the AI bet is… Personally, I’m very excited, and I think it’s the future, and you need to spend time and think about and invest in it. At the same time, it’s a bet that is not an easy one to follow. We go from GPUs to memories to equipments to power generation. All of this is not transitioning in an easy, organized manner. It would be boom and bust going there. He’s probably one of the first big-scale fatalities. The other big-scale fatality was the stock market in Korea, plunging 40% in a month. Definitely, all of that we discussed about was, on the background, you had the stock market going up and down pretty crazily the past few weeks. Nuno Everyone’s being affected. Everyone, you have your 401(k), you have your pension fund dependent on these equity stocks. Everyone’s seeing the effects of this volatility right now very aggressively. We do wish Leopold… Hopefully he’s on honeymoon right now because he got married, I think, this weekend. Hopefully there will be… Bertrand To none less than an Anthropic Chief of Staff. Nuno His wife is the Chief of Staff of Dario, is that it? Bertrand To Dario, yes, as far as I unders

Mike starts his three part history of Pokémon! They go over the first four generations of the core series. The theme music is by RoccoW. The logo was created by Dani Dodge.

This week on AppStories, Federico and John are joined by Andrew Ambrosino, the Codex team lead at OpenAI, to talk about the evolution of Codex, the unification of ChatGPT and Codex, Computer Use and Computer History, designing for user trust, and more. On AppStories+, Andrew shares some of his favorite Mac apps and his Mac origin story. Also available on YouTube here. Subscribe here. We deliver AppStories+ to subscribers with bonus content, ad-free, and at a high bitrate early every week. To learn more about an AppStories+ subscription, visit our Plans page, or read the AppStories+ FAQ. This episode is sponsored by: Finalist – A paper-inspired daily planner with notes for iPhone, iPad, Mac, and now Apple Watch. A day you design your way. For 50% off your first year use this link. Links and Show Notes Inside OpenAI's Codex With Andrew Ambrosino Introducing the Codex App (OpenAI) Codex CLI (GitHub) Codex Documentation (OpenAI Developers) ChatGPT Desktop App ChatGPT Work ChatGPT Is Now a Partner for Your Most Ambitious Work (OpenAI) Introducing ChatGPT Atlas (OpenAI) OpenAI Codex Lead on the New Shape of Product Work (Lenny's Newsletter) Follow Andrew Ambrosino online Website X.com AppStories+ Post-Show Apps Mentioned: Things Craft Linear Sketch Figma Numbers Keynote Leave Feedback for John and Federico AppStories Feedback Form Follow us on Social Media Federico is @viticci everywhere John is @johnvoorhees`everywhere Join Annual$50/yearJoin Monthly$5/month

An AppStories Interview

Tara Seshan leads product for Codex and ChatGPT Work at OpenAI (alongside previous podcast guest Andrew Ambrosino, who's her engineering manager). Before OpenAI, Tara spent over six years at Stripe, where she joined as one of the first five product managers. She went on to lead product for Watershed, which Time magazine named one of the best inventions of 2022, and she is also a founder and Thiel Fellow. Most personally meaningful to me: Tara is one of the three inaugural Lenny's Newsletter Fellows, a program I ran a couple of years ago to spotlight the most exciting up-and-coming product leaders.In our in-depth conversation, we discuss:1. The shift from “rowing” to “steering,” and why human judgment and ambition will become differentiators as AI takes on execution2. How OpenAI thinks about building for model capabilities two to three months out3. OpenAI's best internal memes, such as “Is this maximally accelerated?” and “Are you mainlining it yet?”4. Why ambition is the new bottleneck for companies, and why elevating others' ambitions is now the key part of the PM job5. Writing as thinking vs. writing as reporting—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Where to find Tara Seshan:• X: https://x.com/tarstarr• LinkedIn: https://www.linkedin.com/in/tarstarr• Newsletter: https://substack.com/@taraseshan—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction(02:18) What makes OpenAI's culture so different(06:42) Why AI product strategy is all about fast experimentation(09:02) How the PM role is changing(10:50) The shift from rowing to steering(15:35) What changes when agents become coworkers(20:05) Why ambition matters more than ever(26:39) Building products for models that do not exist yet(29:21) How ChatGPT's Chat and Work modes differ(34:01) How OpenAI ships so quickly at scale(39:14) The vibe shift happening inside Codex(42:20) Why traditional roles are beginning to blur(45:59) Where humans will continue to provide unique value(48:20) How Tara uses AI in her own work(51:38) The magic of the /visualize command(52:39) Writing to think versus writing to report(57:10) How to use AI without losing your ability to think(01:00:15) Tara's biggest lesson from Sutter Hill(01:04:16) ChatGPT's site output(01:05:01) Why knowledge work is becoming more like coding(01:07:55) Lightning round and final thoughts—Referenced:• Codex: https://chatgpt.com/codex• ChatGPT Work: https://openai.com/chatgpt-work• Stripe: https://stripe.com• Watershed: https://watershed.com• Thiel Fellowship: https://thielfellowship.org• Meet your Lenny's Newsletter Fellows: https://www.lennysnewsletter.com/p/meet-your-lennys-newsletter-fellows• The rituals of great teams | Shishir Mehrotra of Coda, YouTube, Microsoft: https://www.lennysnewsletter.com/p/the-rituals-of-great-teams-shishir• The nature of product | Marty Cagan, Silicon Valley Product Group: https://www.lennysnewsletter.com/p/the-nature-of-product-marty-cagan• Product management theater | Marty Cagan (Silicon Valley Product Group): https://www.lennysnewsletter.com/p/product-management-theater-marty• Patrick Collison's examples of fast projects: https://patrickcollison.com/fast• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Andrew Ambrosino on X: https://x.com/ajambrosino• Tyler Cowen's website: https://tylercowen.com• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• “Chop wood, carry water” quote: https://buddhism.stackexchange.com/questions/15921/what-is-the-meaning-of-the-zen-quote-before-enlightenment-chop-wood-carry-wat• 4 questions Shreyas Doshi wishes he'd asked himself sooner | Former PM leader at Stripe, Twitter, Google: https://www.lennysnewsletter.com/p/shreyas-doshi-live• Alan Kay: https://en.wikipedia.org/wiki/Alan_Kay• Brie Wolfson on X: https://x.com/zebriez• The playbook for building high-talent-density teams | Adam Ward, Head of Talent at Cursor: https://www.lennysnewsletter.com/p/the-playbook-for-building-high-talent• Building product at Stripe: craft, metrics, and customer obsession | Jeff Weinstein (Product lead): https://www.lennysnewsletter.com/p/building-product-at-stripe-jeff-weinstein• Sutter Hill Ventures: https://shv.com• Snowflake: https://www.snowflake.com• Mike Speiser on LinkedIn: https://www.linkedin.com/in/mikespeiser• Footnotes and Tangents: https://footnotesandtangents.substack.com• The Power Broker Book Club: https://www.robertcaro.org/copy-of-six-books-six-ny-times-book• The Odyssey: https://www.imdb.com/title/tt33764258• Rashomon: https://www.imdb.com/title/tt0042876• Akira Kurosawa: https://en.wikipedia.org/wiki/Akira_Kurosawa• Kevin Kwok on LinkedIn: https://www.linkedin.com/in/kevinakwok• The Work You Do, the Person You Are: https://www.newyorker.com/magazine/2017/06/05/toni-morrison-the-work-you-do-the-person-you-are• Ari Weinstein on X: https://x.com/AriX• Sky: https://sky.app• Dylan Field live at Config: Intuition, simplicity, and the future of design: https://www.lennysnewsletter.com/p/dylan-field-live-at-config—Recommended books:• Barbarian Days: A Surfing Life: https://www.amazon.com/dp/0143109391• Anna Karenina: https://www.amazon.com/Anna-Karenina-LEO-TOLSTOY/dp/8175993421• The Power Broker: https://www.amazon.com/dp/0394720245• War and Peace: https://www.amazon.com/War-Peace-Leo-Tolstoy/dp/8175992832• Wolf Hall: https://www.amazon.com/dp/0312429983—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

Karen Wilkinson, author of Stolen Seed Evil Harvest, joins this episode to describe a lifetime of abductionexperiences that began in early childhood and continued into adulthood, including a near-death experience thatfinally brought them to an end. Karen walks through the hybrid children she believes were taken from her, theevolving physical traits of these hybrid entities across generations, and the biblical framework she uses to explainwho — or what — is really behind it all.This episode is presented by Codega's Codex of Curiosities, a weekly podcast exploring paranormal encounters,UAP phenomena, cryptid sightings, and high-strangeness stories from guests across the world. Find moreepisodes and join the community at the links below.Topics Discussed:●Karen's lifetime of abduction memories, recalled without hypnosis, and the near-death experience thatultimately stopped them●The hybrid children she says were taken from her, and how their appearance ties into the "black-eyedkids" phenomenon●The generational evolution of hybrid entities — from pale, large-eyed children to beings increasinglyengineered to pass as human●Karen's theory connecting the biblical Nephilim, disembodied demonic spirits, and the smaller "cookiecutter" gray entities as possible vessels●What she describes from inside the underground facilities where she was taken, including exam rooms,waiting areas, and indirectly lit hallways●The onset of "UFO brain fog," a state of induced lethargy she says the entities used to control emotion,pain, and memory during encountersLinks

Eno Reyes is the co-founder and CTO of Factory, the agent-native software development platform building autonomous "Droids" for enterprise engineering teams. Factory has raised $220 million, most recently a $150 million Series C at a $1.5 billion valuation, from investors including Khosla Ventures, Sequoia Capital, 20VC, NEA, Blackstone, Insight Partners and Nvidia. Before founding Factory, Eno worked as a machine-learning engineer at Hugging Face, training, optimizing and deploying large language models for enterprise customers. AGENDA: 00:00 Are We Underestimating AI by an Order of Magnitude?  06:35 Why Can the Smartest AI Model Be the Cheapest?  18:51 Is Anthropic's Coding Business Really Worth $2 Trillion?  33:41 Will Continuous-Learning Models Help or Hurt Factory?  40:43 Will 80–90% of Neo-Labs Die in the Next 18 Months?  44:33 Should American Enterprises Work With Open-Source Chinese Models?  55:42 Must AI Founders Radically Rethink What a Great Outcome Looks Like?  1:04:30 Do Pedigree and Credentials Still Matter in AI Hiring?  1:19:17 Which Is the Biggest Threat: Claude Code, Codex, Cognition or Cursor?  1:24:20 What Seems Crazy Today but Will Be Obvious in Five Years?  

If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble.

Plus: SK Telecom is creating an AI data-center company backed by KKR. And Thinking Machines Lab co-founder Barret Zoph rejoins Google. Imani Moise hosts. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.