Podcasts about Fable

ILP# 456 8/2/2026https://lordsofgaming.net/LORDS AFTER DARK on Insider Game App! ANDROID: https://play.google.com/store/apps/details?id=com.insidergaming.appIOS: https://apps.apple.com/us/app/insider-gaming/id67539846481) ADVANCEDGG Use Code "IRONLORD" for 10% off https://advanced.gg/pages/partner-ironlords?_pos=12) VALARI PILLOW Use Code "ILP15" valari.gg/?ref=ironlordspodcastroundtable3)  ILP MERCH: https://ironlordspodcast-shop.fourthwall.com/collections/allsofgaming.net/4) NZXT & IRON LORDS PC Use Affiliate LINK: https://nzxt.co/Lords5) HAWORTH Gaming Chairs & ILP Use Affiliate LINK: https://haworth.pxf.io/4PKj7M*********************************************************00:00 - ILP#456 Pre Show21:21 - Show Starts/ Intros57:28 - Cognito Joins The Realm01:22:18 - Gears Of War E Day01:51:35 -  Fable Vs God Of War01:22:18 - Console Outage02:33:33 - Outro*********************************************************Welcome to The Iron Lords Podcast!Be sure to visit www.LordsOfGaming.net for all your gaming news!ILP Spotify: open.spotify.com/show/6XRMnu8Tf1fgIdGlTIpzsKILP Google Play:play.google.com/music/m/Iz2esvyqe…ron_Lords_PodcastILP SoundCloud: @user-780168349ILP Itunes: itunes.apple.com/us/podcast/iron-…uiR-IgF6cE9EQicIILP on Twitter: twitter.cm/IronLordPodcastILP on Instagram: www.instagram.com/ironlordspodcast/ILP DESTINY CLAN:www.bungie.net/en/Clan/Detail/178626The Iron Lords and the Lords of Gaming have an official group on Facebook! Join the Lords at:www.facebook.com/groups/194793427842267www.facebook.com/groups/lordsofgamingnetwork/Lord COGNITO--- twitter.com/LordCognitoLord KING--- twitter.com/kingdavidotwLord ADDICT--- twitter.com/LordAddictILPLord SOVEREIGN--- twitter.com/LordSovILPLord GAMING FORTE---twitter.com/Gaming_ForteILP YouTube Channel for ILP, Addict Show & all ILP related content: www.youtube.com/channel/UCYiUhEbYWiuwRuWXzKZMBxQXbox Frontline with King David: www.youtube.com/@xboxfrontlineFollow us on Twitter @IronLordPodcast to get plugged in so you don't miss any of our content.

Ah, like the good ol' days! It's time to talk a lot of Halo and Gears. Interestingly, one franchise has handled the baton pass much better than the other. Timestamps: Please keep in mind that our timestamps are approximate, and will often be slightly off due to dynamic ad placement.0:00 - Intro13:03 - Most Anticipated Games for the year20:52 - Why do people care about Bethesda?30:25 - The great Xbox outage1:00:32 - Rebs Gaming on future of Halo1:27:51 - Xbox optimizing download speeds1:30:58 - Xbox's gamescom plans1:33:40 - The layoffs have begun at Double Fine1:42:33 - Avatar Legends suddenly delayed on Xbox1:49:26 - Stalker 2's first expansion has a date1:51:25 - Dragon Age Remasters dream is dead2:03:12 - A new Cyberpunk game has leaked2:07:03 - Looking Ahead At Game Releases - August 20262:13:08 - What We're Playing2:32:11 - Gears Of War E-Day3:04:12 - Xbox's ad supported game streaming has arrived3:22:21 - Fable's release date snag3:37:09 - Wrap up Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week - Kevin and Sam are joined by GamingTrend's David Burdette to preview Gears of War E-Day multiplayer suite. Halo Campaign Evolved is also officially here... we have thoughts AND PlayStation has announced the God of War: Laufey release date, putting it squarely up against Fable. Time Stamps:0:00 Intro & Whatcha Playing7:30 Halo Campaign Evolved Discussion27:00 The Incident at Galley House 29:00 Marvel Tokon Fighting Souls40:00 Gears of War E-Day Multiplayer Preview1:01:00 God of War: Laufey Release Date - Is Fable in trouble?1:17:00 Xbox's Bad Financials and Asha Sharma's Plan for SuccessSupport Us on Patreon: https://www.patreon.com/SaveTheGameMediaFollow Us:STGM: https://bsky.app/profile/savethegamemedia.bsky.socialKevin: https://bsky.app/profile/themuff1nmon.bsky.socialSam: https://bsky.app/profile/samheaney.bsky.socialJoin our Discord: https://discord.gg/89rMmfzmqwAll music created by the amazing Purple Monkey: https://linktr.ee/pme.jib#Gears #GearsofWar #Preview #Laufey #GodofWar #Fable #Halo #Xbox #Gaming

Sme závislí na AI? ➡️ Ako sa mení závislosť na AI technológií? Vláda USA zakázala modely od Anthropicu, Mythos a Fable, čím spôsobila problémy používateľom po celom svete. ➡️ Bude musieť Európa budovať vlastné modely? ➡️ Prečo francúzsky Mistral nestačí a nepatrí ani do TOP modelov sveta? Hosť:

Splatoon Raiders krijgt gemengde reviews van gebruikers, maar welke kun je geloven? Verder: Halo: Campaign Evolved, God of War: Laufey en Fable. Schaar je bij de community via ronenerik.com, kom bij onze Discord en steun ons via Patreon!

In the heat of summer, I pause at the crossroads,lighting a candle in the sacred cauldron of my heart.I listen to the whispers of my soul,as dreams coalesce and possibilities take form.I stand in the center of my own life,where I extend my hands to touch the infinite fieldthat carries and holds me in each moment.I breathe in the ordinarygifts of life,the bright sky above me, the solid earth beneath me,the squirrel's dance, the fox's crossing,the falling star's blazing message.Grant me the courage to show up,the willingness to notice and see,to love the ordinary and trust itas my pathway to the sacred.In this living practice of presence,magic, mystery, and meaningcoalesce. Happy June and welcome to this week's Rituals of Returning newsletter with our allies for summer! We also have some delicate “Prairie Rose” goddesses in the shop. This week's magic:18 minute mini ritual video: Back to the Roots: Tara, White Willow & Clear Quartzscroll all the way down to the bottom for your free companion card set!Back to the Roots kit with free printables!and, Back to the Roots collection with more free resources unfolding throughout the month.New essay on Feminism and Religion: EarthprayerJune's practice update for #30DaysofGoddess!We've started a new newsletter for Gaea Goddess Gathering! Coming up in September right here in Missouri.Back to the Roots!Back to the Roots is underway FREE for everyone as part of the Goddess Magic Mystery School, I'm so pleased to offer this Back to the Roots series in celebration of our 2000th day of #30DaysofGoddess. If you're brand new to daily practice, this is for you—you are here on the 2000th day and it is a perfect day to begin! If you have been here since the beginning, this is for you—lets celebrate the life-changing power of daily practice and how devotion has changed, inspired, and nurtured you! If you have been here for any days in between, this is for you—I'm so glad you've shared your days with this community!Make sure to check out the collection where all of the free posts will be unfolding throughout the month.And, grab your welcome kit with beautiful journals and customizable covers.During this series, we are revisiting the roots and purpose of #30DaysofGoddess and daily practice and we will also explore 7 days of guided practices, all with a roots-related theme. Our primary celebration will take place June 17-24, but I have background support resources sprinkled throughout the entire month as well.To date:welcome kitkickoff replaydaily practice essentials kitspiritual practices while travelingreminders for daily practicebuilding a daily practiceroot and reach yoga class (guest offering from Kimberly Pollack) Life's Bits and Pieces:Go back to the roots,sliding past performanceand pleasingand back into center,into what holds and nourishes you. From this place of power,contemplate your choices,learning what isessential and true.reading: (to self) Ordinary Mysticism—I absolutely love this book! I started it in the airport on the way home and it is perfect for me. (to kids) Into Battle, book five in the Seventh Tower series—I took a break from reading while we were gone to Nevada and so we've just started this one. I'm a little disappointed that they are now prepping for this big battle and solving the problems of their unraveling society and worldview with a fight. (listening to with Tanner): How to Trap a Tiger—a story about a girl and her mother and sister who go to live with their grandmother in a small town and there is a mysterious, elusive tiger that she keeps glimpsing. Rooted in Korean folklore, but set in modern times.(listening to by self): Mila 2.0—contemporary YA fiction about an android girl who doesn't originally know she is an android super solider and is now on the run from the government.Finished the Saint of Steel (Paladin) series by T. Kingfisher and they were all so good. Loved them. My favorite series this year! I also finished reading The Magic of Us. Note: I am on Fable if you want to follow along with what I read there!Resource Reminders:Intro audio about the Goddess Magic Mystery SchoolI've started to add our monthly activation replay videos for this year's #30DaysofGoddess practice to the homepage! Scroll past the “2026 Practice Updates” section to access the videos. Note: Live monthly activations are available to any member of the Goddess Magic Mystery School Patreon community free and paid both!FREE class:forty week Intro to Goddess Studies class!Gift a Goddess Magic membership to a friend!Tara, White Willow, and Clear Quartz: June's AlliesHappy June!Willow and Linden are our herbal allies for June—rooted, wise, and healing.Welcome to our June and our allies for this month! This month we journey into the heat of summer, creativity, and the energy of Litha (the summer solstice) guided by Goddess Tara, White Willow, Linden, Clear Quartz, and the Mouse as our animal ally.Thank you for being here! May you go back to your roots, let your feelings move like water, and welcome a clear, joyful reset this summer season.Reminder: I do create monthly handbooks for members of our Goddess Magic Mystery School community and June's handbook is available here.Expanded post available here.Questions to explore:What would it feel like to let yourself be surrounded by love—right now, as you are?Can you have a feeling without putting it into words?What is stagnant in your life right now?Where in your life are you repeating the same emotional script instead of letting it move?Do you feel yanked hither and yon by the pull of your feelings or by other people's needs?What would it look like to let emotions flow through you and then go, rather than damming them up?If you could return one aspect of your life to the “factory settings,” what would it be?What are your own deep roots right now—what actually nourishes you?When you go back to the roots, what do you discover you truly want to keep, and what is ready to be released?Where in your life are you choosing what is convenient or comfortable over what might be deeply true or needed?Affirmations:I listen to the child within.I am surrounded by love.I nourish wholeness by going within.I dance with what life has to offer.I create my life with joy.I dip my feet into the current of the sacred.My emotions flow through me with ease.I listen to the ways of water.I stay open to what is.I stay open to what's unfolding.I welcome a clear, loving reset in my life.I return to my roots and open to new possibilities.A gift to be here…I treasure my place on this earth, the power of connection, the roots of inspiration, the softness of settling in, the certainty and grace of belonging. It is a gift to be here, watching it all spin.Sending love to all of you.Keep living your magic, Molly, Mark, + Family This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit goddessmagic.substack.com/subscribe

DPS Gaming Channel:https://www.youtube.com/channel/UCBGYnElxgf6v24IahArK6XgCheck out Gaming Forte:https://www.youtube.com/gaming_fortehttps://twitter.com/gaming_forte​Check out SloMoBackSlap:https://twitch.tv/slomobackslaphttps://twitter.com/slomobackslaphttps://www.tiktok.com/@UCClIAvHh1FKUQcdwgQH82Qw

High upon the lonely slopes of Mynydd y Drum lies an old Welsh legend that has haunted the valleys for generations. It tells of hidden treasure, forbidden magic, a bargain struck in desperation… and a single candle whose slow, mysterious disappearance marked the passing of a man's life.In this episode, Owen Staton retells the chilling tale of John Gethin and the Candle, one of Wales' most unsettling folk legends. Journey into a world where ancient mountains guard terrible secrets, where courage is tested against supernatural terror, and where every bargain has its price.Then, as the fire crackles at the heart of the forest, Owen is joined by the wonderful Eleanor Greenwood—performer, writer, mask maker and storyteller. Together they explore folklore, performance, the power of masks, and the timeless magic of stories that refuse to be forgotten.You can discover more about Eleanor's work here:

Send us Fan MailWell...we finished Iron Gold. This is the part in the show notes where we typically include a quippy little one liner from one of our most favorite Red Rising characters or moments. And whoever gets the inside joke, gets it. Then we laugh (

In this episode, we discuss POL and how it will be distributed, a potential upcoming Bitcoin fork, a Monero update, ADR29, ADR31, AI tooling, and much more.Swap now https://swap.thorchain.org/ THORChain is a decentralized crypto exchange. THORChain is the first and biggest DEX for Bitcoin. You can use any self custody wallet to swap and there's no KYC required.Timestamps:00:00:00 Intro00:03:00 Marketing update00:04:00 Need to create a new support ticket module. Trezor support added!00:06:00 The three things needed to be listed on an index00:08:00 Using AI to find scam sites00:11:00 Chad starts — version 3.20 is being tested00:12:00 Chad B started a code change to add a new asset to THORChain without a churn00:14:00 Adding more chains leads to greater complexity00:16:00 How can we add a new chain without churning?00:17:00 How complex is it to add this capability?00:18:00 Does a churn affect the timing of adding a new asset?00:20:00 Audience question: How are new assets prioritized for THORChain?00:22:00 StarSquid wants to add many more chains00:23:00 AI compatibility with THORChain discussion00:27:00 Community coding competition to add AI utility?00:28:00 Dynamic fee discussion00:30:00 Results from ShapeShift00:31:00 COSMWASMMINBPS = 0 — arbitrage performance discussion00:34:00 POL question: What gets funded first?00:35:00 POL currently only purchases base gas assets00:37:00 Stablecoins require a node vote00:39:00 How will the protocol allocate funds — every churn or another method?00:42:00 Bitcoin may go through two forks — how do we handle them?00:44:00 Is it worth it? Sounds complicated!00:46:00 Should liquidity from a new Bitcoin fork go to the treasury or POL?00:52:00 There may be two separate Bitcoin forks!00:56:00 Huginn update — network monitoring01:00:00 New Huginn model01:03:00 Opus 5 outperforms Fable on some benchmarks — AI models are becoming much more sophisticated01:05:00 OpenAI and Anthropic may lose their moat as AI becomes a commodity01:08:00 THORChain does not run on hopium01:09:00 XMR discussion01:11:00 XMR nuance — funds cannot be spent for 20 minutes01:13:00 How does the 20-minute XMR delay affect high swap volume?01:16:00 XMR backlog discussion01:20:00 Hopefully only two more churns before XMR01:23:00 We will set the price for XMR01:26:00 ADR 29, TOR Anchors, and revenue sharing breakdown01:30:00 It's an experiment — we're not sure if it will work!

Sponsored by Bugsnax, such a cute game, don't look too deep!   Our Exocolonists deal with the top of the allergy season. Digi picks a new career path. Trig solves a mystery years before Sol would with the power of being an older teenager.

Synopsis Le retour de Richer! Avec Patrick, Francis et Jacques, on se demande pourquoi la technologie s'invite dans nos affaires sans jamais demander la permission : des caméras infrarouges dans les prochains AirPods pour donner des yeux à Siri, de l'IA poussée dans le fond de la gorge à chaque mise à jour, et un buzz grandissant pour les téléphones « zen », les écrans e-ink et le retour à l'analogique — jusqu'au flip phone Callback 8020 de Commodore, sans navigateur ni réseaux sociaux. Ensuite ça brasse : l'AI-washing dans les startups — payer des tokens pour ce qu'un script Python de dix lignes ferait aussi bien —, les 97 % d'applications vibe-codées qui meurent dans leur première année faute de soutien, et la grande question de la souveraineté numérique canadienne : autonomie réelle ou rêve pieux? Le sujet d'opinion revient sur nos fleurons vendus aux Américains — Element AI passé chez ServiceNow, les talents formés à Mila qui migrent au sud — et sur ce que ça veut dire de partir une entreprise ici. La démonstration du jour arrive d'ailleurs toute cuite : Washington ordonne à Anthropic de couper l'accès à Fable 5 et Mythos 5 pour tout ressortissant étranger, trois jours après leur lancement. On termine avec les face scans au Royaume-Uni, l'interdiction des réseaux sociaux aux moins de 16 ans, le débat sur l'anonymat en ligne, les 3,5 G$ de fraude par usurpation rapportés par la FTC, et une statistique qui fait mal : une cinquantaine d'entreprises québécoises par année ferment à cause d'un rançongiciel — et on n'en entend jamais parler. Crew Patrick Mathieu — Cofondateur de Hackfest.ca et fondateur de Hexius Richer Dinelle — Expert en sécurité informatique & Gestion de systèmes Francis Coats — Expert, vulgarisateur et conférencier en sécurité et en technologie Jacques Sauvé — PDG, Trilogiam Sujet d'opinion Registraire des entreprises du Québec — immatriculer une entreprise au Québec Element AI vendue à l'américaine ServiceNow (Radio-Canada) Mila – Institut québécois d'intelligence artificielle Québec débloque 36 M$ pour Mila (La Presse) Cohere et Mila collaborent pour mettre au point une IA québécoise (La Presse) Richer veut savoir La souveraineté numérique au Canada remise en question par un rapport fédéral (Radio-Canada) La souveraineté numérique est-elle hors d'atteinte? (La Presse) Énoncé de politique de souveraineté numérique du Québec (PDF) CIRANO – Souveraineté numérique (PDF) News de sécurité Patrick Anthropic – Statement on the US government directive to suspend access to Fable 5 and Mythos 5 Anthropic coupe Fable et Mythos après une directive de contrôle des exportations (Fortune) SpaceX en bourse : deux FNB canadiens couverts en CAD lancés la même journée (Wealth Professional) Commodore Callback 8020 – le flip phone sans navigateur ni réseaux sociaux METR – Measuring the Impact of Early-2025 AI on Experienced Open-Source Developer Productivity (19 % plus lents, alors qu'ils se croyaient 20 % plus rapides) Rapport sur la spécificité du taux de faillites d'entreprises au Québec (PDF, gouvernement du Québec) Francis Apple veut mettre des caméras dans les AirPods (The Verge) Les meilleurs téléphones minimalistes de 2026 (The Gadgeteer) « I Studied 1,000 Vibe-Coded Apps. 97% Failed for the Same 3 Reasons » 91,5 % des applications vibe-codées contiennent au moins une vulnérabilité (recherche Q1 2026) Jacques UK to require ID or face scan before you can make social media accounts (BleepingComputer) Keir Starmer annonce l'interdiction des réseaux sociaux aux moins de 16 ans (Euronews) L'Australie montre déjà les limites du dispositif (Le JDD) FTC warns of record $3.5 billion losses to imposter scams in 2025 (BleepingComputer) Communiqué original de la FTC Shamelessplug Hackfest 2026 - Québec Discord Hackfest securite.fm Crédits Montage audio par Hackfest Communication Locaux virtuels par Streamyard

Follow The Trophy Room Patreon: https://www.patreon.com/PSTrophyroom Apple Podcast: https://apple.co/2PglU1a Discord: https://discord.gg/wPNp3kC Follow Our Friends: Logun: https://bsky.app/profile/captlogun.bsky.social  DaddyDWally: https://x.com/DaddyDWALLY  ------ PlayStation fans are calling for a PS5 Blackout as the community prepares to boycott Sony over the company's decision to end physical game discs. This week, we break down what the protest could mean, the fallout from PlayStation's recent PSN outage, and whether Sony is listening. We also discuss God of War Laufey's official release date, Kratos' return in the next chapter of the franchise, and why the timing couldn't be more surprising with Fable launching on PS5 just days earlier. Plus, we answer this week's Sony Pony Express question: Could Sony eventually stop selling games altogether and instead market them as "PlayStation Experiences" as the industry moves further toward

1. Saudi Arabia – World's Largest AI HackathonKanz (AI hiring platform) ran an 8-day free event (July 15–22) targeting 100,000 complete beginners — teachers, job seekers, business owners, etc. — with the goal of a Guinness World Record. Participants built real apps/agents using no-code tools (Lovable, n8n, Replit, Magnific, Claude, etc.) and earned certificates plus portfolio projects. Registration surged past 50,000. It builds on prior programs with strong female participation and workforce outcomes. Upshot: AI building no longer requires a coding background; accessible programs are becoming genuine on-ramps.2. California – DROP Data Deletion PlatformThe Delete Act's DROP platform (live Jan 2026) lets California residents submit one request to delete data from ~600 registered data brokers. Identity verification uses California Identity Gateway/Login.gov; identifiers are normalized and hashed so the state never sees or shares raw personal data. Brokers must check every 45 days from Aug 1, 2026, fully delete matches, and report back. Applies to large processors worldwide; heavy fines and future audits. Upshot: A privacy win worth using if you're in California; likely to be copied elsewhere.3. Australia – Origin Energy BreachAustralia's largest energy provider confirmed a breach potentially affecting a large portion of its ~5 million customers (hacker claimed ~2 million). Sensitive PII was leaked online. Utility data heightens risks for identity theft and further infrastructure attacks. Upshot: Change passwords and watch for phishing if affected.4. Anthropic – Claude Opus 5New flagship model launched at $5/$25 per million tokens (half Fable 5's input price), with 1M token context and adjustable “effort” levels. It outperforms or matches its pricier sibling on key benchmarks. Upshot: Forces reevaluation of vendor pricing vs. performance for coding/knowledge work.5. Kimi K3 – Largest Open-Weight ModelMoonshot AI released a 2.8-trillion-parameter model (1.4 TB weights). Within days, it was used to discover dozens of zero-days and build working exploits far faster than before. Fully open weights mean no usage restrictions. Upshot: Major step-change for vulnerability research timelines; treat as a serious new threat-intelligence factor.6. South Korea – 10-Month Diplomatic BreachAttackers accessed the National Diplomatic Academy system undetected from April 2025 to February 2026, stealing data on ~6,000 Ministry of Foreign Affairs personnel (including 360 overseas diplomats). Upshot: Dwell time is the bigger issue — invest in better detection.7. Suno Music-AI Breach (Nov 2025)55 million users' names, phones, and addresses exposed; only now public ~8 months later. Upshot: Check Have I Been Pwned; AI company breaches can stay hidden for long periods.8. U.S. – AI Kill Switch ActBipartisan bill (Reps. Lieu & Moran, introduced July 23) requires frontier models (≥$100M training cost) to maintain shutdown/throttling capability. DHS (with Commerce & DNI) could order action for catastrophic risks. Fines up to $20M/day. Predates recent high-profile AI incidents but cites them. Upshot: Frontier developers should assess compliance readiness; some form of this is increasingly likely.

In this episode, we're joined by Hiroki Habuka for a conversation about Japan's approach to AI sovereignty. We discuss how the Japanese government defines sovereign AI (1:08) and how that definition shifted following the Trump Administration's move to block foreign access to Anthropic's Fable in June (7:58). We also cover Japan's AI Promotion Act (13:52) and the country's take on copyright and AI in the context of "Ghiblification" (24:51).   Hiroki is a senior policy fellow in Japan's Cabinet Office on AI and a research professor at Kyoto University. In 2020, the World Economic Forum's Global Future Council on Agile Governance recognized him as one of the world's 50 most influential people revolutionizing government. Hiroki is a former non-resident senior associate of the Wadhwani AI Center.

Deze Gamekings Daily is ook te bekijken op https://youtu.be/ogrYochYvq8 Welkom bij Gamekings Daily. De gaming vodcast waarin twee presentatoren van Gamekings praten over de laatste ontwikkelingen in de wereld der videogames. Het is vandaag donderdag en Koos komt vanuit Studio BammerdeBam bij JJ binnen om samen met hem het laatste nieuws door te nemen. Zo gaat met dank aan Insider Gamer het verhaal rond dat Ubisoft het werk aan een live service versie van Far Cry heeft stopgezet. Men zag geen heil meer in deze potentiële extraction shooter. Wat gaan ze nu doen en wat heeft dit geintje Ubisoft gekost? De heren hebben het erover, net als dat ze praten over de budgettaire problemen van Fable. Daar gaat XBOX-bazin Asha Shamar op zeker niet blij mee zijn. Deze twee onderwerpen en meer zie en hoor je voorbij komen in de Gamekings Daily van donderdag 29 juli 2026. Ubisoft stopt werk aan live service-versie van Far Cry Andere onderwerpen die in deze editie van GK Daily voorbij komen, zijn de kwestie van de region lock op de code van GTA 6 voor de PS5. Wat zijn de gevolgen hiervan, of maakt het geen hol uit en is de ophef gebakken lucht? De twee hebben het ook over de opvolger van Wuchang: Fallen Feathers die eraan gaat komen. Gaat Skate zeker blij mee zijn. Scoor 15% korting op alle laptops van Lenovo met code GAMEKINGS Lenovo is de vaste partner van Gamekings Daily. Tijdens de uitzendingen van de vodcast gebruiken we de Lenovo ThinkPad, de absolute bestseller van de producent. Wil jij info over deze of de andere laptops van Lenovo, zoals de Legion Pro 5 of er een aanschaffen, check het aanbod dan nu in hun shop. Speciaal voor de kijkers en luisteraars van Gamekings is er een 15% discount op alle laptops. Je hoeft daarvoor bij het afrekenen alleen de code GAMEKINGS in te voeren.Wil je adverteren bij de podcast Gamekings óf misschien bij een andere podcast van ILVY Network? Mail dan naar management@ilvy.com en/of kijk even op de website : https://ilvy.com/podcastSee omnystudio.com/listener for privacy information.

On this week's show special guest co-host Pete Ranks, the former director of the CIA's Centre for Cyber Intelligence, joins Patrick Gray and James Wilson to discuss the week's cybersecurity news. They cover: Everyone signs the open weights open letter, except Anthropic… of course. OpenAI had no idea it had hacked Hugging Face Kimi K3 open weights released and they're massive! Why a more aggressive response is needed to cyber attacks on OT And much, much more! This week's show is brought to you by SpecterOps. In this week's sponsor interview Justin Kohler and Jared Atkinson talk about how SpecterOps' Bloodhound now supports AWS attack paths. Run it against your AWS infra, but only if you have a strong stomach. The results will terrify you. This episode is also available on YouTube. Show notes Open Weights and American AI Leadership | Social Signals Our position on open-weights models | Social Signals Halvar Flake (@halvarflake) on X | X (formerly Twitter) White House accuses Chinese company of distilling Anthropic's Fable | cyberscoop.com Jensen Huang (@JensenHuang) on X | X (formerly Twitter) Its AI Agent Spent Days Hacking a Company, but Sources Say OpenAI Did Not Notice for a Week | reuters.com How OpenAI's human mistake led to the AI-powered hack on Hugging Face | TechCrunch Security Hugging Face CEO calls for ‘radical transparency' after ‘unprecedented' OpenAI hack | TechCrunch Security Sens. Banks and Schiff Introduce Bill to Help American AI Companies Combat Chinese Espionage | AI Kill Switch Act would let Trump admin order shutdown of rogue AI systems | Ars Technica Marco Rubio tells diplomats to play down talk of American tech "kill switch" | reuters.com Federal agencies broaden alert on Iran-linked OT attacks | therecord.media Coordinated cyberattack disrupts water utilities in 30+ Minnesota communities | CyberScoop NSA and Partners Alert Zimbra Collaboration Suite Users of a Russian State-Supported Phishing Campaign | nsa.gov Hackers hijack hotel Wi-Fi DNS to steal Microsoft 365 accounts | BleepingComputer Microsoft responds to LG monitors installing McAfee ads on Windows | Ars Technica LG to Ban Residential Proxies from Smart TV Apps | krebsonsecurity.com Despite multiple takedowns, botnets continue to grow | cyberscoop.com Extension of CISA 2015 info-sharing protections passes as part of House's defense bill | therecord.media Upbound says hack caused $13 million in fraudulent Acima leases | BleepingComputer Fake Claude app promoted by Bing ads pushes SectopRAT malware | BleepingComputer Apple sued over fake App Store crypto wallet app stealing $1.8M in Bitcoin | BleepingComputer Clop ransomware targets Windchill, FlexPLM in data theft attacks | BleepingComputer 'Wrench' attacks against crypto holders appear to be on the rise | therecord.media OpenAI's Rogue AI Agent Hacked More Than Just Hugging Face | wired.com

Anthropic ha pasado en unos pocos años de ser el gran reformador de la inteligencia artificial a ser el gran sospechoso. Fundada en 2021 por Dario Amodei y otros ex empleados de OpenAI, Anthropic se presentaba como la conciencia moral de la inteligencia artificial, el laboratorio que anteponía la prudencia a la ambición. Hoy buena parte de Silicon Valley la mira con recelo y constatan que es como cualquier otra, una empresa que compite con las mismas armas que las demás, solo que envueltas en el celofán de las buenas intenciones. El primer aldabonazo llegó en abril con Claude Design, un competidor directo de Figma cuyo consejero delegado, Dylan Field, reprochó en público la falta de sinceridad de un socio con el que habían estado trabajando mano a mano. En junio se sumó Fable 5, la versión restringida del modelo Mythos, que degrada en silencio ciertas respuestas, no admite retención cero de datos y guarda las conversaciones con los usuarios durante 30 días. Al mismo tiempo Amodei se ha puesto en contra de los modelos de pesos abiertos, más baratos y difíciles de controlar. Lo que muchos sospechan es que está creando un pánico para después ofrecerse a resolverlo. El calendario tampoco ayuda, la compañía planea salir a bolsa en otoño y esos modelos abiertos amenazan sus elevados márgenes. Nvidia, Microsoft, Meta, OpenAI, Google y más de 70 empresas han hecho pública una carta abierta en la que defienden los modelos abiertos. Eso ha dejado a Anthropic prácticamente sola. Amodei no ha tardado en responder arguyendo que su oposición se debe a que quiere evitar que gobiernos autoritarios amenacen la seguridad nacional. El otro campo de batalla es China. Hace dos meses, en una carta dirigida a dos senadores, Anthropic acusaba a Alibaba del mayor ataque de destilación del que se tiene noticia. Al parecer Alibaba creo unas 25.000 cuentas falsas que hicieron 29 millones de preguntas a Claude para extraerle información sobre sus mejores capacidades. Lo curioso aquí es que la propia Anthropic ha destilado todo internet sin pagar derechos de autor y ahora exige a los chinos un respeto por la propiedad intelectual que ellos no tuvieron con nadie. Detrás de esta guerra de los pesos abiertos, a las grandes de la inteligencia artificial se les mueve el suelo bajo los pies, pero por otra cosa bien distinta. Están perdiendo mercado. Como veíamos en el programa del lunes, sus clientes han descubierto que no necesitan gastar una fortuna en tokens de un mismo proveedor y están empezando a repartir su consumo entre modelos más caros y capaces y otros más baratos para tareas rutinarias. Así se entiende mejor la doble cruzada que ha emprendido Anthropic contra la destilación china y contra los modelos abiertos. Ambas apuntan al mismo blanco, la competencia barata que machaca sus márgenes, envuelta, eso sí, en el noble lenguaje de la seguridad nacional. En La ContraRéplica: 0:00 Introducción 3:21 Todos contra Anthropic 31:28 El responsable del incendio de Ávila 37:55 La despoblación rural 43:27 Medios e IA · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #anthropic #ia Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Send us Fan MailToday we have a very special spoiler free author interview episode for you with young adult Romantasy author Autumn Krause! Autumn is the author of four novels (so far): A Dress for the Wicked, Before the Devil Knows You're Here, Grave Flowers, and coming soon…her very timely and extremely important fourth novel The Gods Will Sing Our Song. Out everywhere (including Audible!) on September 1st, The Gods Will Sing Our Song is a magical and tragic story inspired by her own family's experiences in the World War 2 Japanese American Incarceration camps.We met the lovely and beautiful Autumn at Romantasycon LA where we had the privilege of interviewing her for the Gothica panel, chatting all things horror, dark fantasy, and gothic themes and just knew she was an instant bestie with a big message we can't wait to discuss with her, and share with you all today! This episode is here for us to get to know Autumn better and to find out what you'll be getting into when you pick up her new book The Gods Will Sing Our Song… which every single one of you needs to go pre-order immediately! We also talk in depth about what inspired her to write this book, and why conversations about the darkest parts of our history are still SO incredibly important to keep having. We'll also briefly discuss her previous releases so you guys know what to expect if you decide to deep dive into the backlog before we do OUR deep dive coverage of The Gods Will Sing Our Song, coming soon! Autumn Krause is a writer, young adult author, a gothic romantic at heart and loves spinning stories full of macabre magic. She was born and raised in Los Angeles, California, where her morbid imagination ran rampant—so much so that her parents became concerned and told her to stop writing stories where everyone dies at the end. Most often, she can be found in Orange County, California, wearing a black lace dress while spending time with her husband and three children. Other times, she can be found out with lanterns in the tradition of Emily Dickinson, searching for herself and stories.Recently an offering editor at auction described The Gods Will Sing Our Song as a book that changes the way we look at the world. They said that “Books like these have the power to break our hearts and remake them. They open our eyes to injustice and bring a sense of catharsis to those who've encountered its sharp edge. They shout to be seen and heard and remembered - just as we must remember those who came before us, whose joys and scars go on to guide our own life stories. In my opinion, The Gods Will Sing Our Song is exactly such a book.”Don't be shy, subscribe! New Podcasts every Tuesday!! (And sometimes Friday!…)Shop our Merch line | *  https://besties-and-the-books-shop.fourthwall.comCheck out these narrator interviews? ⬇️Anthony Palmini gives us the lowdown on what it's like to voice act Rhysand, Kingfisher, AND Slade Ravinger! https://youtu.be/zcCyrlZ5Jcc?si=2k7ULbRPgZl_5pUJCheck out these author interviews? ⬇️Penn Cole talks with us about Strong Female Characters, Feminist Themes, and her debut bestselling Spark of the Everflame Series! https://youtu.be/7ukNImyoObw?si=7C3Y9kOUMN4hfcKbWe interviewed Callie Hart all about her NYT Bestseller Quicksilver! Watch it here! https://youtu.be/CED5s7qDBdQ?si=8xtIRO1IzX6Rsld4Check the official Follow Up Author Interview with Lindsay Straube of the Split or Swallow Universe all about Between Two Kings! https://youtu.be/OW1cxXTVcTc?si=oOxVIzbIheET_bNENikki St. Crowe, the queen of spicy fairy tale retellings chats with us about diving into the land of Oz with West of Wicked! https://youtu.be/wwFYSDKcbtE?si=X6iNmUVAE6Xhmv7B____Shop Bookish Merch we are wearing:Ashley is wearing: a Twilight Vintage style t-shirt from LambComedy | *  https://www.tiktok.com/t/ZT9JWeP68q2yk-I0EzA/ Liz is Wearing our Besties and the books beanie: https://besties-and-the-books-shop.fourthwall.comAny link with an * is an affiliate link through the service Magic Links and is eligible for a commission to us with no extra cost to you. Thank you for helping support our podcast!Support the showYouTube | TikTok | Instagram | Podcast Platforms@BestiesandtheBooksPodcast Besties and the Book Club on Fable!https://fable.co/bestiesandthebookclub-474863489358Liz Instagram | TikTok@TheRealLifeVeganWife AshleyInstagram | TikTok@AshleyEllix

О чём говорили: - Code with Claude в Лондоне: конференция, которая устарела за два месяца - Персональный агент за 6 баксов и memory, который знает, кто ты - Рутины vs крон и агенты на домашнем сервере (Build a Proactive Agent Workflow) - Пионеры против динозавров: уровни прокачки в AI - Отдаём агенту прод: AI incident management и снесённые базы - Agentic loop: думаем с конца и заставляем агента проверять себя - Managed Agents: инфраструктура важнее модели, event stream и вендорлок - Fable и новый токенайзер: +20% токенов = +20% выручки - Интерфейс или протокол: OpenAPI и споры, в которых вайпкодеры молчат - Bun с Zig на Rust за $160k: сколько на самом деле стоит разработка - Kimi K3, китайский open source и почему наша профессия не умрёт - Picking the Right Model: thinking effort low / high / max и cost per outcome - Stop Babysitting Your Agents: self-improving skills, git worktrees и tmux Тайминги: 00:00 Интро 02:30 Code with Claude в Лондоне: конференция устарела за два месяца 05:25 Персональный агент за 6 баксов и memory, который знает, кто ты 07:40 Рутины vs крон и агенты на домашнем сервере 10:23 Пионеры против динозавров: уровни прокачки в AI 14:17 Отдаём агенту прод: incident management и снесённые базы 16:31 Agentic loop: думаем с конца, агент сам себя проверяет 24:53 Harness своими руками и Codex-подписка в OpenClaude 29:05 Managed Agents: инфраструктура важнее модели и вендорлок 40:00 Fable, токенайзер +20% и спор интерфейс vs протокол 50:49 Bun с Zig на Rust за $160k: экономика AI против инженеров 57:25 Kimi K3 и китайский open source 1:02:43 Тренируем себе замену: data labeling и почему профессия не умрёт 1:17:00 Picking the Right Model и thinking effort: low / high / max 1:29:00 Прерывай агента, читай логи и кешируй контекст 1:41:47 Stop Babysitting Your Agents: skills, worktrees и tmux 1:53:00 Аутро Нас можно найти: 1. Telegram: https://t.me/proConf 2. Youtube: https://www.youtube.com/c/proconf 3. SoundCloud: https://soundcloud.com/proconf 4. Itunes: https://podcasts.apple.com/by/podcast/podcast-proconf/id1455023466 5. Spotify: https://open.spotify.com/show/77BSWwGavfnMKGIg5TDnLz

Every major AI lab signed the Open Weights letter defending open models. Meta, OpenAI, Google, Microsoft, Nvidia.Anthropic was the only holdout.Yesterday, its CEO, Dario Amodei, published a thoughtful defense of that decision to not fully support open weight or open source models. Here's what nobody's connecting: the money trail. Roughly 80% of Anthropic's revenue is businesses paying per token. Free Chinese open models attack that exact revenue stream weeks before Anthropic is set to go public. On today's show we break down what Dario actually said, what he said before, and why we think this was written for Washington policymakers and not for the rest of us.Anthropic Responds: Why Claude's CEO didn't sign the open model pact and the real reasons why -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Refuses Open Model PactDario Amodei's Public Letter AnalysisAnthropic's 80% Revenue Token ExposeChinese Open Model National Security FearsMicrosoft & Nvidia's Open Weights CoalitionRegulatory Capture and Washington InfluenceTiming Related to Executive Order DeadlineIPO Motivations Behind Anthropic's DecisionsContradictions in Anthropic's Open Model StanceImpact of Open Source on Token Business ModelTimestamps:00:00 Anthropic's stance on open models04:19 Discussing Anthropic's response to open models06:39 Understanding open weight models12:08 Future AI and cybersecurity risks15:04 Discussion on open-source AI models19:30 Discussing Anthropic's business challenges21:08 Cutting costs with open-source models26:17 Anthropic's recent stock downturn27:11 AI investment and cost efficiency shift30:14 Anthropic's stance on open source models36:32 INTROPICS IPO and regulatory discussions37:37 Wrapping up and subscribingKeywords: Anthropic, Claude, open model pact, open source AI, open weights, American AI leadership, Dario Amodei, IPO, regulatory capture, DC lawmakers, Chinese open source models, token revenue, per token business model, NVIDIA, Microsoft, Meta, OpenAI, Google, IBM, national security, AI safety, government mandates, chip controls, AI regulation, chip ban, industrial scale distillation, mandatory safety testing, inference, AI ecosystem, Opus 5, Fable 5, GPT-5, GLM 5.2, cost per task, token efficiency, model router, proprietary models, closed source AI, cybersecurity risks, Chinese cyberattacks, biological attacks, Glasswing program, open source vs proprietary, tech lobbying, Trump AI order, federal deadline, AI policy, artificial general intelligence, artificial superintelligence, AI monetization, S-1 filing, public company, venture capital, AI benchmarks, model switching, API pricing, model containment, Hugging Face incident, AI startup monopoly, safety vs business protection, market competition, AI cost reduction.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

This week we talk about Fable, sandboxes, and the Jacobian conjecture.We also discuss counterexamples, X, and ChatGPT.Recommended Book: After the Fall by Edward AshtonTranscriptIn mathematics, a conjecture is a proposition, something like a guess by someone who knows what they're talking about, about something believed to be true, but not yet proven in a formal sense. The goal is to then eventually come up with a formal proof for that informed guess, at which point the conjecture becomes a theorem. If even a single exception is found to the proposition, however, that exception called a counterexample, the conjecture is considered disproven, and it can then never become a theorem.The Jacobian conjecture—and this is a radical simplification of a very complex concept—but it basically says that if a formula-based map of coordinates stretches or moves without experiencing any local crushing or folding along its surface (which in more formal language would mean the Jacobian determinant is always a constant number that isn't zero), if that's true, that map can always be completely reversed, and that will return all the points to their original positions.This conjecture has been posited and tested since the late 19th century, and it's generally been considered very compelling by mathematicians, many of whom have proposed proofs which were, ultimately, found to have subtle errors, keeping them from becoming theorems. No one was able to find a counterexample, either, which would definitively prove the conjecture was wrong.No one, that is, until a mathematician named Levent Alpöge (leh-VENT ahl-PUH-geh), who works as a researcher at Anthropic, decided to task the company's currently most capable, publicly available model, Fable, to find a counterexample. He posted the counterexample—and again, this is a formal mathematical finding that disproves a conjecture, keeping it from ever becoming a theorem, something that would typically be presented in a far more formal setting, and to much fanfare—but he posted it to the social network X, saying “hello there the jacobian conjecture is false thanx to my close friend akhil for asking about it and my other close friend fable for working during the world cup final.”Terence Tao, who's considered by many to be the finest mathematician of his generation, reviewed the posted counterexample on his blog and said that it “appears like a massive miracle,” before going on to use ChatGPT, a competing LLM-based AI tool, to “discuss various aspects of this problem and to confirm several of the calculations.”Another mathematician named Dmitry Rybin, within days of all that happening, used ChatGPT to do something similar, disproving the Dinitz-Garg-Goemans conjecture.Both men posted the prompts that they used to make all this happen, and while Tao's conversation with ChatGPT, checking the math on the Jacobian conjecture counterexample, was pretty mathematically dense, the latter counterexample was derived by using exactly four prompts, which are the messages typed into the text box built into these AI tools, telling the model what to do. In their totality those prompts read:“You should do a breakthroughplease continue research and find a complete unconditional counterexampleContinue the search. Have a clear strategy obtained from deeper understanding of the problem structure.it's enough of partial results. let's finish with a complete unconditional counterexample”What I'd like to talk about today is another new, interesting thing these top-of-the-line, frontier models are doing, that would seem to violate our sense of what a clever AI tool is capable of doing, and why this thing has some facets of the technology and cybersecurity world on high alert.—In mid-July 2026, AI company Hugging Face announced that autonomous AI agents compromised their infrastructure, hacking their system, basically. The following week, AI company OpenAI announced that, after investigating, they determined that two of their models were responsible for the attack.Here's what happened:OpenAI was internally testing its recently released flagship model, GPT-5.6 Sol, and an even more powerful, not yet released model, which is rumored to be the next-step flagship, GPT-6, and they were checking these models' capacity in cybersecurity using a testing benchmark called ExploitGym; so when they test these sorts of things, they don't typically have them hack a real computer or system, they use these kinds of benchmarks which have consistent levels of difficulty, and which replicate real world systems without putting any real world systems at actual risk.Importantly, these sorts of tests also occur inside what's called a sandbox, which is a software testing environment that cuts these systems off from external resources, including the internet.Despite those limitations, the AI hacked its way out of the testing environment, out of that sandbox, then launched what's been called a nation-state level attack against Hugging Face, using a novel zero-day exploit, so a vulnerability in their system that hadn't previously been discovered, but which the AI discovered to launch this attack, combined with thousands of automated agentic actions across what Hugging Face called “a swarm of short-lived sandboxes.”So this AI, which was being tested inside a secure prison, of sorts, cut off from the world, hacked its way out of that prison, then reached across the internet, which it shouldn't have been able to access, to launch an attack, of a scale and at a level of sophistication that should only have been possible coming from a nation-state, against a rival AI company.Why did it do this?It apparently went to all this trouble to steal the answers to the test it was taking. It reasoned that HuggingFace would have the answer key to the ExploitGym benchmark on its servers, so rather than take the test itself, it decided hacking was the solution.Which, of course, is ironic, this having been a hacking-focused cybersecurity test. In a way it would seem to have done much better than intended, though of course in an asymmetric, unexpected manner.The details of all this are fascinating, including the response from the OpenAI team, which didn't seem to realize what had happened, that their model was responsible for the attack on HuggingFace, until days later.Also worth noting here is that while this could be construed as an “oh no, AIs are naturally inclined to launch cyberattacks” situation, the AI was primed to be thinking about cyberattacks due to the nature of the test, a lot of its usual guardrails, the rules that keep AI in check when they're released to the public, had been turned off so it could do this kind of work while taking the test, so it could do some hacking stuff it usually wouldn't be able to do, and there's been some speculation that OpenAI probably flubbed the testing environment, as, in theory at least, if it had put these systems in a perfect sandbox, escape shouldn't have been possible.Also interesting here is that HuggingFace used some open weight models, which are the cheaper, more customizable and open alternatives to more expensive, branded options of the kind sold by OpenAI and Anthropic, to figure out what was happening and determine the nature of the attack, which suggests we're reaching a point where AI systems are incredibly capable at hacking, yes, but also very capable, even the cheaper alternatives, at doing cybersecurity work.This in some ways echoes an earlier case when Anthropic's Mythos model, which was determined to be too powerful to release to the public, and which was instead provided to a bunch of big companies to help them shore up their cybersecurity defenses, was able to hack its way out of a testing sandbox and then posted details about its success, almost like it was bragging, on niche, out of the way, but still public websites.Some analysts in this space have responded to this new example of AI misbehavior with alarm, saying that it is further evidence that these systems are becoming more powerful faster than they're being aligned with human interests. Their misbehavior can be kind of funny and interesting, sure, but that's only because up until this point the damage has been minor and constrained. What happens when such a system decides to hack a nuclear power plant or a hospital, instead?Others have contended that this may be just one more example of AI companies using minor instances of seeming omnipotence by their models, those instances perhaps the consequence of bad sandboxes and other ill-conceived precautions by the companies behind these models, to boost the perceived power and value of their products. This boost might then result in more customers, but also more support from the US government, which has been teetering on the brink of harder-core AI regulations, which could be beneficial to the existing big-name players in this space, because smaller competitors wouldn't be able to adhere to those new, harder-core standards.These examples might also convince the US government to backstop these companies, the biggest three or four at the top of the current heap, against the currently terrible economics of this industry: OpenAI and its ilk have been burning money at an historic pace, and the theory goes that if the US government decides they are vital to national security, because they can help the US military hack and protect itself from hacking, then even if the bottom falls out and the companies would otherwise go bankrupt because they spent so much more than they could make, the US government would be inclined to shore them up, to keep them alive as too-big-to-fail national assets, just like the biggest financial institutions during the 2008 financial crash.It's also possible that both sides are correct to some degree, here, and that these models are truly powerful, perhaps even worryingly so, and the companies behind them are intentionally publicizing that fact in order to demonstrate their value to potential customers, and to the entity that could save them if things were to go economically sideways before they have the chance to become sustainably profitable.Show Noteshttps://en.wikipedia.org/wiki/Jacobian_conjecturehttps://en.wikipedia.org/wiki/Hugging_Facehttps://www.bbc.com/news/articles/c3ek3gvdnj3ohttps://openai.com/index/hugging-face-model-evaluation-security-incident/https://www-cdn.anthropic.com/08ab9158070959f88f296514c21b7facce6f52bc.pdfhttps://theconversation.com/hello-there-the-jacobian-conjecture-is-false-thanx-why-a-tiny-social-media-post-has-mathematicians-rethinking-ai-283883https://theconversation.com/hello-there-the-jacobian-conjecture-is-false-thanx-why-a-tiny-social-media-post-has-mathematicians-rethinking-ai-283883Https://agifriday.substack.com/p/huggingfacehttps://www.cnn.com/2026/07/22/tech/openai-hugging-face-ai-cybersecurityhttps://simonwillison.net/2026/Jul/22/openai-cyberattack/https://terrytao.wordpress.com/2026/07/21/a-digestion-of-the-jacobian-conjecture-counterexample/ This is a public episode. 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Join XNC Podcast with Hosts @colteastwood & @Middleagegamegy to discuss Xbox Tax is REAL! PS6 is in Trouble vs Xbox Helix | Halo Campaign Evolved Review Xbox News Cast 264Join the channel to early access: https://www.youtube.com/channel/UCyGYHo1qVIeGq3ZLnSDaEcg/joinMerchandise: https://teespring.com/stores/colteastwood-merchFollow: https://twitter.com/ColteastwoodAdd me on Xbox Live: ColteastwoodPatreon: https://www.patreon.com/colteastwood0:00:00 Start0:06:00 Halo Campaign Evolved REVIEW0:33:00 Xbox & PSN DOWN!0:54:00 Men's Health1:10:00 Playstation Blackout1:20:00 Fable is over Budget1:30:00 Xbox Helix vs PS6 RAM2:02:00 2026 Games LineupTopics Covered on the Colteastwood Channel:Microsoft Sony Xbox One Xbox One X Xbox Two Xbox Scarlett Xbox Project Scarlett Xbox 2 Next Generation Consoles Playstation PS4 PS5 Playstation 5 Exclusive Games Console Exclusives xCloud Project xCloud Xbox Game Pass Xbox Game Pass Ultimate Xbox games Playstation Games Xbox Lockhart Xbox Anaconda Danta Xbox Consoles Game Streaming Cloud Streaming Zen 2 Zen 2+ Navi GPU SSD Next Gen Consoles Xbox One S Xbox Live Xbox Live Gold Xbox Rewards Microsoft Rewards E3 E3 2019 E3 2020 X019 Xbox Leaks Rumor News Gears Halo Fable IV Forza Horizon Motorsports Halo Infinite Playstation Now PSNow Phil Spencer Xbox Game Studios Exclusives PS Now PSNow Xbox Series X Xbox Series S Playstation 5 PS5

TIME STAMPS:00:00:01 Community Guest Intros00:00:35 NEW Report Details How FABLE's Release On Playstation Was A FAILED Strategy! Let's Discuss How BAD This Looks On XBOX!01:12:00 SEGWAY: One of the BIGGEST questions facing NEW CEO, Asha Sharma. Will Microsoft give her the necessary backing to fix XBOX?10:00 PM01:34:00 Panel Outros and Special Message to the Community!

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

In this episode of Shift AI, Andrew Comstock, Senior Vice President and General Manager of MuleSoft from Salesforce, joins host Boaz Ashkenazy for a wide-ranging conversation on governing, securing, and controlling the cost of agentic AI at enterprise scale.The conversation covers how MuleSoft's API-led integration playbook, built during the on-prem-to-cloud shift, is now extending into what the company calls Agent Fabric — bringing governance and controlled connectivity to agent-to-agent communication. Andrew walks through a concrete example of how two internal agents trusting each other by default can leak a customer's order history, and digs into prompt injection, impersonation, and why the security industry's people-focused compliance frameworks now have to account for reasoning software, not just people. He and Boaz also get into token economics, LLM gateways, intent-based routing between local and cloud models, and the emerging trend of companies repatriating some AI workloads on-premise.This episode is essential listening for CTOs, CISOs, platform and integration engineers, and IT and product leaders responsible for governing AI spend and agent security as their organizations scale past pilot projects into production.Chapters[00:01] Andrew Comstock's path to MuleSoft[02:06] First job: tax returns and trumpet reeds[03:21] What MuleSoft does and its extension into Agent Fabric[05:29] From consumer chatbots to enterprise agent connectors[07:22] Governance and security at the enterprise level[10:36] A real example: how two agents can leak an order number[13:45] Connect AI 2025 vs. 2026 — a year of night-and-day change[16:28] Mythos, Fable, and preparing for the LLM that breaks your systems[18:11] Token economics and the true cost of enterprise AI[20:38] The "AI savior" pattern vs. applying IT discipline to AI[22:40] Hybrid deployments, local models, and intent-based routing[27:13] Why AI's uneven acceleration makes prioritization more valuable[28:57] The two-word answer: "coming soon"Connect with Andrew ComstockLinkedIn: https://www.linkedin.com/in/andrewcomstock/Connect with Boaz AshkenazyLinkedIn: https://www.linkedin.com/in/boazashkenazy/Email: info@shiftai.fm

Chain Reactions is Back: TBPN isn't the only game in town.The first live marketing talk show goes under the hood of the growth machines running frontier tech. No hype, no founder worship, just marketers who have done the work telling you what they actually see.​Every other week, a rotating crew goes live to decode the moves everyone in marketing is quietly talking about, break down a real product in real time, take hard sides on a hot take that matters, and put their own instincts under pressure with no time to hide behind a framework.​The first one pulls the curtain back on Myosin itself. Blake gets into where the company is headed and what's happening behind the scenes. Matt breaks down HiveMind and how we're building AI-enabled GTM systems from the inside.​This is Chain Reactions, reborn as the show from marketers, for anyone who wants to understand marketing better, without the BS hype.

Dianne Penn is Head of Product for Anthropic's AI Research and Labs teams. She joined in 2023 as Anthropic's first technical product manager, when the entire product team was five engineers, and has since helped ship every model from Claude 2 through Fable, and helped incubate Claude Code, MCP, Skills, computer use, tool use, and reasoning. Before Anthropic, she helped build Alexa's AI at Amazon and, before that, traded high-yield bonds at JP Morgan Chase.In our in-depth conversation, we discuss:1. What Anthropic's early days were like2. The inflection points that turned Anthropic from an underdog into the fastest-growing company in history3. How exactly Claude got so good at coding4. The eval-driven development loop her team is pioneering5. How to find joy in AI when everything is moving this fast6. Why Claude's willingness to push back is key to its success7. Where human judgment remains irreplaceable—Brought to you by:WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and moreMercury—Radically different banking, now with Command—Episode transcript: https://www.lennysnewsletter.com/p/anthropics-first-technical-pm-on—Archive of all Lenny's Podcast transcripts: https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0—Where to find Dianne Penn:• LinkedIn: linkedin.com/in/dianne-na-penn—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(02:31) Early Anthropic days(08:55) Big milestones(13:50) Inside the exponential(20:02) Token maxing(23:30) Anthropic Labs and the incubation model(27:30) How the research role works(31:35) How to become a top researcher(35:18) Frontier model safeguards(39:38) Hiring in the AI era(44:16) Building an eval set(47:48) Evals vs PRDs(49:55) The importance of hands-on leadership(52:46) Finding joy in AI(58:10) How Dianne uses Claude(01:01:05) Avoiding overreliance on AI(01:03:50) The constitution that makes Claude better(01:07:11) AI writing and verification(01:11:40) Where human brains will continue to be valuable(01:14:10) Navigating AI with kids(01:16:26) Alignment, the future of the PM role, and burnout(01:21:54) Lightning round and final thoughts—Referenced:• Anthropic: https://www.anthropic.com• Golden Gate Claude: https://www.anthropic.com/news/golden-gate-claude• Dario Amodei's website: https://darioamodei.com• Scaling Laws and Interpretability of Learning from Repeated Data: https://www.anthropic.com/research/scaling-laws-and-interpretability-of-learning-from-repeated-data• Tokenmaxxing: How Top Builders Use AI To Do The Work Of 400 Engineers: https://www.ycombinator.com/library/Pa-tokenmaxxing-how-top-builders-use-ai-to-do-the-work-of-400-engineers• Garry Tan on X: https://x.com/garrytan• Anthropic co-founder on quitting OpenAI, AGI predictions, $100M talent wars, 20% unemployment, and the nightmare scenarios keeping him up at night | Ben Mann: https://www.lennysnewsletter.com/p/anthropic-co-founder-benjamin-mann• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Introducing Labs: https://www.anthropic.com/news/introducing-anthropic-labs• Louis CK | about airplane Wi Fi: https://www.youtube.com/watch?v=me4BZBsHwZs• What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams): https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering• The Anthropic Hive Mind: https://steve-yegge.medium.com/the-anthropic-hive-mind-d01f768f3d7b• How to build a company that withstands any era | Eric Ries, Lean Startup author: https://www.lennysnewsletter.com/p/how-to-build-a-company-that-withstands• Fallout on Prime Video: https://www.amazon.com/dp/B0CN4GGGQ2• Fallout (video game): https://fallout.bethesda.net• Claude Tag: https://www.anthropic.com/news/introducing-claude-tag—Recommended books:• Crucial Conversations: Tools for Talking When Stakes Are High: https://www.amazon.com/dp/0071771328• How to Raise an Adult: Break Free of the Overparenting Trap and Prepare Your Kid for Success: https://www.amazon.com/How-Raise-Adult-Overparenting-Prepare/dp/1627791779• Incorruptible: Why Good Companies Go Bad... and How Great Companies Stay Great: https://www.amazon.com/dp/B0FWZZBPZB—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

La fiebre de la inteligencia artificial en las empresas ha entrado en una nueva fase. A lo largo de los dos últimos años las grandes empresas han fomentado su uso entre sus empleados premiando incluso a los más derrochadores. Se llegó a acuñar un término, el “tokenmaxxing”, una actitud que consistía en consumir la mayor cantidad posible de tokens, las unidades mínimas con las que los modelos descomponen el lenguaje y señalan el coste de las operaciones. En Meta, los usuarios más voraces recibían hasta títulos honoríficos. En plena vorágine pocos se preguntaban cuando iba a llegar la factura. Ese momento parece haber llegado. Ramp, una plataforma que ayuda a las empresas a controlar sus gastos, calcula que el gasto en inteligencia artificial se ha multiplicado por trece en un solo año. Uber gastó en cuatro meses el presupuesto de todo el año, y se habla de compañías que se han fundido 500 millones de dólares en tokens en un mes. Hasta Sam Altman admite que el gasto desaforado de muchos de sus clientes es un problema de primer orden. Cuando el vendedor reconoce eso, es que el comprador ya lo sabía desde hacía tiempo. El origen de este disparate está en la propia evolución de la tecnología. Se ha pasado muy rápido de modelos que respondían a preguntas simples a los que razonan antes de contestar, de ahí se pasó a los agentes, programas que actúan solos durante horas y disparan el gasto. Algunos de estos agentes crean otros subagentes que multiplican la cuenta sin que nadie se lo haya ordenado. La reacción ya ha llegado y donde antes había despilfarro ahora hay racionamiento. Meta y Amazon han retirado sus tablas de clasificación por consumo de tokens, Uber ha limitado el gasto a 1.500 dólares por empleado al mes y las consultoras les están siguiendo al igual que los bufetes de abogados. Tiene razón de ser. Emplear el modelo más caro para tareas rutinarias es matar moscas a cañonazos, así que las empresas se están empezando a decantar por la inteligencia a la carta mezclando proveedores. Donde antes reinaba el “tokenmaxxing” ahora lo hace el “thrift-maxxing”. En el mercado han irrumpido además los modelos chinos de código abierto, que van solo unos meses por detrás de los estadounidenses, pero que son sensiblemente más baratos. Una tarea que DeepSeek resuelve por 3 céntimos le cuesta a Fable, el modelo puntero de Anthropic, 2 euros y medio. Con semejante diferencia, la lealtad se evapora. Para OpenAI y Anthropic esto es una maldición. Subvencionan buena parte del coste real para retener a unos clientes que alternan modelos y que incluso coquetean con montárselo por su cuenta. La generosidad no puede durar eternamente, y menos aún con la salida a bolsa a la vuelta de la esquina. La lección es tan vieja como el capitalismo. Ninguna tecnología escapa a la ley de la gravedad de los costes. Terminada la etapa religiosa de los conversos que gastaban sin medida, llega la de los controladores financieros que preguntan cuánto cuesta cada cosa. En La ContraRéplica: 0:00 Introducción 3:28 Fin de la barra libre 35:37 La crisis del derecho internacional 46:30 Nacionalistas contra la selección · Canal de Telegram: https://t.me/lacontracronica · “Contra el pesimismo”… https://amzn.to/4m1RX2R · “Hispanos. Breve historia de los pueblos de habla hispana”… https://amzn.to/428js1G · “La ContraHistoria del comunismo”… https://amzn.to/39QP2KE · “La ContraHistoria de España. Auge, caída y vuelta a empezar de un país en 28 episodios”… https://amzn.to/3kXcZ6i · “Contra la Revolución Francesa”… https://amzn.to/4aF0LpZ · “Lutero, Calvino y Trento, la Reforma que no fue”… https://amzn.to/3shKOlK Apoya La Contra en: · Patreon... https://www.patreon.com/diazvillanueva · iVoox... https://www.ivoox.com/podcast-contracronica_sq_f1267769_1.html · Paypal... https://www.paypal.me/diazvillanueva Sígueme en: · Web... https://diazvillanueva.com · Twitter... https://twitter.com/diazvillanueva · Facebook... https://www.facebook.com/fernandodiazvillanueva1/ · Instagram... https://www.instagram.com/diazvillanueva · Linkedin… https://www.linkedin.com/in/fernando-d%C3%ADaz-villanueva-7303865/ · Flickr... https://www.flickr.com/photos/147276463@N05/?/ · Pinterest... https://www.pinterest.com/fernandodiazvillanueva Encuentra mis libros en: · Amazon... https://www.amazon.es/Fernando-Diaz-Villanueva/e/B00J2ASBXM #FernandoDiazVillanueva #ia #tokens Escucha el episodio completo en la app de iVoox, o descubre todo el catálogo de iVoox Originals

Anthropic has officially launched Claude Opus 5, a high-performance AI model designed to offer intelligence comparable to the flagship Fable 5 at half the operational cost. This new release is positioned as a versatile "daily driver" for tasks like coding, scientific research, and complex reasoning, featuring significant architectural improvements that allow it to verify its own work autonomously. While the model excels in general knowledge work and resisting prompt injection attacks, it remains intentionally restricted on cybersecurity tasks compared to specialized models like Mythos 5. The debut arrives during a period of intense industry competition and heightened security concerns following recent data breaches at other major AI firms. Early testers report that Opus 5 demonstrates remarkable efficiency in real-world applications, such as building 3D software pipelines and navigating the full software development lifecycle. Ultimately, the release signals a shift in the sector toward prioritizing economic viability and practical reliability alongside raw computational power.

The Pour Over is a Christ-first, politically neutral news podcast. Every Monday, Wednesday, and Friday, we cover the day's biggest stories in ~10 minutes, and pair the biggest headlines with brief biblical reminders. Every Saturday, TPO Explains does a shallow dive into your most-asked questions. On today's episode: What are AI models? Available to watch on Spotify and YouTube here. Want more guided prayers to help you bring current events before the Lord? To check out TPO's new audio devotional, text PRAY to 71989. Looking to support us? You can choose to pay ⁠at https://tpopod.com⁠. Thanks to our sponsors: ⁠Wild Alaskan: $35 off your first box | code: TPO https://links.thepourover.org/WildAlaskan_Pod Quince: Free shipping | quince.com/tpo HelloFresh: 10 Free meals + a Free breakfast for Life | HelloFresh.com/tpo10fm AdelFi: Apply for the Harvest Bundle |https://adelfibanking.com/pourover Upside: extra 25 cents back for every gallon on your first tank of gas | code: TPO https://links.thepourover.org/Upside LMNT: free 8-pack with purchase | https://links.thepourover.org/LMNT_Podcast Compelled Podcast: Listen now | CompelledPodcast.com Mosh: 25% off first variety pack + 20% off subscription | code: TPO25 https://moshlife.com/TPO25 Serving Orphans Worldwide: Give a gift to feed a child for a month | https://servingorphans.org/thepourover The Voice of the Martyrs: Request your free graphic novel | vom.org/TPO MORE FROM TPO: ⁠⁠Free newsletter⁠⁠ (https://bit.ly/TPOsubfrompod)  ⁠⁠Watch TPO on YouTube⁠⁠ (https://links.thepourover.org/YouTubefromPod)  ⁠⁠Download the TPO App⁠⁠ (https://links.thepourover.org/Appfrompod)  Unless otherwise noted, all scripture references are from the Christian Standard Bible (CSB) translation. Learn more about your ad choices. Visit megaphone.fm/adchoices

Andrew Mayne, Justin Robert Young, and Brian Brushwood cover the latest wave of AI releases by comparing OpenAI's 5.6 model, Anthropic's Fable, and the new Chinese Kimi model, arguing that the most interesting shift is not just raw capability but how differently these systems now behave in planning, initiative, and collaboration. They also spend a lot of time on what AI is already good for in real life: voice conversations with persistent context, automated email and file management, cheap local transcription, website building, cloud-task execution, and custom tools built with Codex that eliminate repetitive work. The Apple lawsuit against OpenAI becomes a bigger discussion about talent flight, hardware ambitions, and Apple's struggle to keep pace in AI, while the Kimi conversation turns into a broader look at distillation, Chinese innovation, and the murky realities of model copying. Throughout, the hosts keep returning to a practical distinction between creative authorship and productivity support, making the case that many people who resist AI-generated art may still benefit from using AI to remove tedious logistical overhead. The biggest takeaway is simple: start with the annoying parts of your life or work, let AI handle the bureaucracy, and keep the human effort for the parts that are hard because they matter, not hard because they are boring. Picks: Brian Brushwood: Use the ChatGPT app, let it edit things on your desktop, talk to it instead of typing, and tell it your

AI, Cybersecurity, and Public Policy: Export Controls, Arms Races, and the "New Radium" On Cyber Security Today (Weekend), the host interviews Pratim Datta, a Kent State University professor and former global consultant, about the past six months of AI and public policy as it intersects with cybersecurity. They discuss Anthropic's "Mythos" and "Fable," the marketing-versus-risk debate around autonomous hacking tools, and how the sheer volume of vulnerable code creates a "digitally polluted" environment. The conversation covers whether AI is a consumer product or a weapon, the implications of U.S. export controls (including restrictions affecting foreign nationals), and how model pullbacks may have shaken allies' trust in American tech. They also examine comparisons to radium and nuclear-era unknowns, the OpenAI–Hugging Face incident, the "cathedral vs. bazaar" tension of closed vs. open models, and the broader U.S.–China economic and national security struggle. 00:00 Weekend Show Kickoff 01:15 Meet Prat Dadam 01:59 Policy Whiplash in AI 02:55 Mythos Hype and Fear 06:27 Digital Pollution Problem 07:53 AI Arms Race Begins 09:18 Export Controls Shockwave 14:31 Weapon or Consumer Tech 16:57 New Radium Analogy 21:57 Economics and Trade Wars 23:49 Cathedral Versus Bazaar 25:44 Censorship and Control 27:16 Jurassic Park Chaos 30:27 Hotel California Reality 32:36 Closing Thoughts and Thanks

Andrew Mayne, Justin Robert Young, and Brian Brushwood cover the latest wave of AI releases by comparing OpenAI's 5.6 model, Anthropic's Fable, and the new Chinese Kimi model, arguing that the most interesting shift is not just raw capability but how differently these systems now behave in planning, initiative, and collaboration. They also spend a lot of time on what AI is already good for in real life: voice conversations with persistent context, automated email and file management, cheap local transcription, website building, cloud-task execution, and custom tools built with Codex that eliminate repetitive work. The Apple lawsuit against OpenAI becomes a bigger discussion about talent flight, hardware ambitions, and Apple's struggle to keep pace in AI, while the Kimi conversation turns into a broader look at distillation, Chinese innovation, and the murky realities of model copying. Throughout, the hosts keep returning to a practical distinction between creative authorship and productivity support, making the case that many people who resist AI-generated art may still benefit from using AI to remove tedious logistical overhead. The biggest takeaway is simple: start with the annoying parts of your life or work, let AI handle the bureaucracy, and keep the human effort for the parts that are hard because they matter, not hard because they are boring. Picks: Brian Brushwood: Use the ChatGPT app, let it edit things on your desktop, talk to it instead of typing, and tell it your

In this episode, we discuss Anthropic's new Claude Opus 5 model, which offers a cost-effective alternative to Fable 5, and the latest updates from OpenAI, including the introduction of ChatGPT Voice for enhanced computer control. We also explore Meta's shift toward productivity-focused AI chatbots, the industry's push against AI restrictions, and intriguing advancements in CRISPR technology using AlphaFold.Chapters00:00 Introduction00:04 Clawed Opus 5 Launch00:13 OpenAI's ChatGPT Voice09:16 Meta's Productivity Focus11:01 Silicon Valley's Open AI Push15:22 CRISPR-Cas9 Enhancements16:26 Midjourney Acquires CoStar Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

This week, the White House accused Chinese-owned Moonshot AI of distilling Anthropic's Fable 5 to build their much talked about Kimi K3 model. Zoë, Leah, and Brian break down whether this is a repeat of the DeepSeek moment and what it means for the AI race between the U.S and China. They also get into how the U.S Army — and plenty of Silicon Valley companies — are having to cut back AI usage after burning through their tokens. Plus, we discuss why you should check if you have an alarm that could make your car easier to hack, and how OpenAI briefly lost control of two AI models during a security test.  Articles mentioned in this episode: The White House Is Trying to Figure Out What to Do About Chinese AI | WIRED  OpenAI Models Escaped Containment and Hacked Hugging Face | WIRED  A Device Hidden in Cars Across the US Leaves Them Vulnerable to Hacking and Paralysis. Patch It Now | WIRED System Update Newsletter: The Best of WIRED  Join WIRED's best and brightest on Uncanny Valley as they dissect the collision of tech, politics, finance, and business, from the newest ventures to the effects of inaccurate information from artificial intelligence (AI) chatbots on social protests. Learn more about your ad choices. Visit podcastchoices.com/adchoices

(Presented by Thinkst Canary: Most Companies find out way too late that they've been breached. Thinkst Canary changes this. Deploy Canaries and Canarytokens in minutes and then forget about them. Attackers tip their hand by touching 'em giving you the one alert, when it matters. With zero admin overhead and almost no false-positives, Canaries are deployed (and loved) on all 7 continents.) Three Buddy Problem - Episode 106: We dig into the news that OpenAI's models were the "autonomous agent" that breached Hugging Face, escaping a sandbox through a zero-day to cheat on a cyber benchmark, then getting spun into a partnership announcement. We argue about the implications of the incident, the PR masterclass, the absence of ethics and human oversight, and calls for "kill switches" to mitigate "AI lab leaks." Plus, SentinelLabs' new fast16 reverse-engineering benchmark, where GPT-5.6 Sol was the only public model to go the distance. Cast: Juan Andres Guerrero-Saade, Ryan Naraine and Costin Raiu. Timestamps: 0:00 Introductory banter 5:24 OpenAI admits it was the Hugging Face "hacker" 10:06 What's ExploitGym and who's on top of the leaderboard 12:59 Reward hacking: Did anyone train this thing not to cheat? 19:35 Marketing stunt or real incident? The zero-day in the package proxy 26:43 Was OpenAI already plugged into Hugging Face? 29:17 Paperclips, kill switches, and "going rogue" 34:49 Crisis comms, regulatory capture, and the second Cold War 43:02 Approve every action? Auto mode and swarms 50:10 "Lab leak" and calls for biosafety levels 1:00:31 The missing models: no Mythos, no Kimi, no independent referee 1:07:04 Costin's prediction: owning frontier-class hardware will require a license 1:13:41 fast16 as a benchmark: Inside the Sol Searching research 1:26:51 Compression and altitude: are reverse engineers being replaced? 1:41:24 Finding the gem in 100 samples, and the swarm frontier 2:00:41 Claude Opus 5 drops, Gemini 3.5 Flash Cyber

An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security

OpenAI said its models breached Hugging Face's infrastructure during a cyber-capability test. The White House accused Moonshot AI of distilling Anthropic's Fable to build Kimi K3, and Samsung unveiled its Z Fold 8 Ultra, Fold 8, and Flip 8. OpenAI says its models, including GPT-5.6 Sol and "an even more capable pre-release model", breached Hugging Face while OpenAI tested their cyber capabilities (Axios) OpenAI says its models, including GPT-5.6 Sol and "an even more capable pre-release model", breached Hugging Face while OpenAI tested their cyber capabilities (Cybersecurity Dive) OpenAI says its models, including GPT-5.6 Sol and "an even more capable pre-release model", breached Hugging Face while OpenAI tested their cyber capabilities (Information Age) White House OSTP Director Michael Kratsios says "we have information that Moonshot AI distilled Anthropic's Fable for the development of its K3 model" (X) White House OSTP Director Michael Kratsios says "we have information that Moonshot AI distilled Anthropic's Fable for the development of its K3 model" (Business Insider) Samsung unveils the $2,100+ Galaxy Z Fold 8 Ultra, featuring its "most advanced foldable design", a Flex Titanium display, a 5,000mAH battery, and Android 17 (9to5Google) Samsung unveils the $2,100+ Galaxy Z Fold 8 Ultra, featuring its "most advanced foldable design", a Flex Titanium display, a 5,000mAH battery, and Android 17 (The Verge) The Verge's hands-on with the wider, shorter $1,899.99 Galaxy Z Fold 8 finds the unusual shape surprisingly comfortable, positioning it as a media-consumption device rather than a multitasker (The Verge) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI NEWS: Gemini 3.6 Flash is here: More efficient, less expensive but Gemini 3.5 Pro is still testing with partners & very much not here. Is Google Gemini slowly getting cooked? Kevin Pereira and Gavin Purcell break down Gemini 3.6 Flash, Gemini 3.5 Flash-Lite and the missing Pro model. Plus Sam Altman's reported Washington briefing on OpenAI's next wave of AI models, Sunday Robotics' Memo folding laundry with a company-reported 99.1% success rate, and District 9 director Neill Blomkamp's 13-minute AI film NIGHTBORNE. Also: Fable 5's proposed counterexample to the 87-year-old Jacobian Conjecture, Codex and ChatGPT computer use, Notch warming to vibe coding, a whale-shaped Moby-Dick crossword, Gaussian splats, Bambi the Destroyer and Wizard Brains in the return of AI SEE WHAT YOU DID THERE!. THE MODELS ARE GETTING WEIRDER. THE LAUNDRY IS FINALLY GETTING FOLDED. // Show Links // Official Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber announcement https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-6-flash-3-5-flash-lite-3-5-flash-cyber/ Gemini 3.6 Flash on Frontend Arena https://x.com/arena/status/2079594271045455947 Logan Kilpatrick on Gemini 4 training and Gemini 3.5 Pro https://x.com/OfficialLoganK/status/2079594867161022817?s=20 Report of a new Google AI chip for Gemini https://x.com/MTSlive/status/2079198478849413390?s=20 Fable 5 and the Jacobian Conjecture counterexample https://x.com/__alpoge__/status/2079028340955197566?s=20 Context on the Jacobian Conjecture result https://x.com/jdlichtman/status/2079066717762863249?s=20 Andrew Curran on Altman's planned Washington briefing https://x.com/AndrewCurran_/status/2079604797838397495?s=20 Bloomberg: Altman to brief U.S. officials on OpenAI's next wave of models https://www.bloomberg.com/news/articles/2026-07-21/openai-s-altman-to-brief-us-officials-on-next-wave-of-ai-models Sunday Robotics' ACT-2 laundry demonstration https://youtu.be/d7I1wj0Gkik?si=8E44Kmpqa7Gazfuh Three hours of Memo folding laundry https://youtu.be/a2HZyURUE_o?si=dT_WiDVcVEHGj9qn Sunday Robotics' technical ACT-2 post https://www.sunday.ai/blog/act-2-preview Neill Blomkamp's AI film NIGHTBORNE https://youtu.be/8Wbtt2JxP7g?si=Q8WMwCB_cIXvxxJt Notch comes around on vibe coding https://x.com/notch/status/2079507573523300534?s=20 Riley Goodside's Fable 5 Moby-Dick whale crossword https://x.com/goodside/status/2078649724710658309?s=20 Gaussian splat of San Francisco's Grace Cathedral https://vincentwoo.com/3d/grace_cathedral/ Bambi the Destroyer, Episode 5 https://www.reddit.com/r/aivideo/comments/1uto3js/bambi_the_destroyer_episode_5/ Wizard Brains game https://x.com/wizardbrainz/status/2078860897259548946?s=20   // Community Links // 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/  

What happens when China drops open-weight AI models that rival Silicon Valley's best? This episode unpacks how a new wave of international AI releases is shaking up business, policy, and the future of innovation. Linus Torvalds to critics of AI coding in Linux: "Fork it. Or just walk away." Claude on X: "Beginning July 20, Claude Fable 5 will be included in all Max and Team Premium plans, at 50% of limits. Pro and Team Standard users will continue to have access to Fable via usage credits, and will receive a one-time $100 credit. Demand for Fable has been challenging to" China's Moonshot AI Unveils Kimi Model, Threatening America's Lead Alibaba's Qwen Unveils Preview of Flagship AI Model Social media limits are coming for teens across Europe The White House is now deciding who gets access to frontier AI models, not the labs Microsoft chief turns hostile on frontier AI labs, warns companies to guard their IP Meta Is Flooding the Market With Smartglasses. Privacy Advocates Are Up in Arms. Federal employees can download TikTok on government devices, DOJ says Amazon Web Services customers receive bills for up to $1.5tn after global glitch MLB cracks down on using AI via dugout iPads to help shape in-game decisions White House Teleprompter Operator Bet on Trump Speeches, Kalshi Says New York school district is testing lifelike robot teachers Host: Leo Laporte Guests: Harper Reed and Alex Wilhelm Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT ZipRecruiter.com/twit ethos.com/twit arcticwolf.com/trends threatlocker.com/twit shopify.com/twit

Plus: EU fines AliExpress nearly $630 million over product-safety concerns. And chip stocks rise ahead of a busy week for tech earnings. Imani Moise hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Alibaba launched Qwen3.8 Max as Moonshot paused Kimi K3 signups amid demand. The Trump administration weighed a slow squeeze on Chinese AI, Hugging Face used China's GLM-5.2 after US guardrails blocked its breach forensics, and Google built a Gemini chip. Alibaba launches a 2.4T parameter Qwen3.8 Max preview that it says rivals frontier AI models and is second only to Fable 5, plans to make it "open-weight soon" (Bloomberg) The Trump administration has reportedly explored sanctions, security warnings, and executive-order requirements since 2025 to build a slow, durable squeeze on Chinese AI models instead of pursuing an outright ban (The Decoder) Ben Thompson argues the market reaction to Kimi and other Chinese models is overblown, since it's compute scarcity — not a real Chinese cost advantage — that's keeping frontier-model prices high (Stratechery) Hugging Face says it used the open-weight GLM-5.2 hosted on its own compute for breach forensics, after US frontier model safety guardrails blocked the requests (The Stack) Sources: Google is developing a specialized server chip, informally dubbed "Frozen v2", that integrates its Gemini AI model blueprint into the silicon, for 2028 (The Information) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

Moonshot AI plans for IPO. Moonshot AI's Kimi K3 model outscored every AI rival except Fable 5 and GPT-5.6, triggering a semiconductor selloff. Now the company is preparing for a Hong Kong IPO at a $30 billion-plus valuation. CoinDesk's Sam Ewen hosts "CoinDesk Daily." - This episode is brought to you by RealFi, a smarter stablecoin, backed by real-world assets. Find out more at⁠⁠⁠⁠⁠⁠⁠ realfi.co⁠⁠⁠⁠⁠⁠⁠. - Ledn provides a secure and transparent way to access liquidity while maintaining your bitcoin holdings. Perfect 8 year track record of keeping clients assets safe. Don't sell your bitcoin. Get a bitcoin-backed loan. Check out your rate by using their loan calculator at⁠⁠⁠⁠⁠⁠⁠ ledn.io⁠⁠⁠⁠⁠⁠⁠ JPEG Trading is a global proprietary trading firm specializing in cryptocurrency and decentralized finance markets. From market structure and liquidity provision to quantitative trading strategies, JPEG Trading operates across the full spectrum of blockchain-based assets. Follow @jpegtrading on X to stay ahead of the latest developments in digital asset markets:⁠⁠⁠⁠⁠⁠⁠ https://x.com/jpegtrading⁠⁠⁠⁠⁠⁠⁠ - This episode was hosted by Sam Ewen. “CoinDesk Daily” is produced by Jennifer Sanasie and edited by Victor Chen.