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Day 1,642.Today, after the CIA apparently finds a way through Russian air defences, sneaking their director into the country with the Kremlin spokesman later denying any knowledge of a US military plane landing in Moscow, and with the Vatican's Foreign Minister turning up nearby, we ask what was so interesting about Moscow yesterday. Then, after his call for elections blew up in his face, Ukraine's ousted defence minister Mykhailo Fedorov made another political gaffe by saying, much to Moscow's delight, that his country is ‘slowly losing the war'. All this while Ukraine strikes 16 targets across Russia, including oil facilities and another Wildberries warehouse. Later, we get our regular deep dive into Russian cucumbers and other economic indicators as well as a look at the latest cooling in relations between Russia and Armenia.Contributors:Dominic Nicholls (Host on Ukraine: The Latest). @DomNicholls on X.James Kilner (Russia Analyst). @Jkjourno on X.Senior Producer: Lilian FawcettVideo Producer: Sophie O'SullivanSocial Producer: Tom SteedStudio Director: Meghan SearleExecutive Editor: Francis DearnleyCreated by David KnowlesNOW IN FULL VIDEO WITH MAPS & BATTLEFIELD FOOTAGE:Every episode is now available on our YouTube channel shortly after the release of the audio version. You will find it here: https://www.youtube.com/@UkraineTheLatest CONTENT REFERENCED:If you're interested in sponsoring Dom's upcoming defence event, email our colleagues at events@telegraph.co.ukRussia to extend diesel export ban through September, sources say (Reuters)https://www.reuters.com/business/energy/russia-extend-diesel-export-ban-through-september-sources-say-2026-08-25/ EMAIL US:Contact the team on ukrainepod@telegraph.co.uk. We continue to read every message, and seek to respond to as many as possible.HIGHLIGHTS:CIA head meets Russian spy chiefs in MoscowPutin's fuel crisis deepens as Ukraine hits 16 key sites Hosted on Acast. See acast.com/privacy for more information.

Ireland's history isn't only castles and green landscapes. Famine, conflict, ancient beliefs, emigration, ghost stories, and traditions surrounding death are woven through the places travelers visit today. Full article & links: https://irelandfamilyvacations.com/dark-tourism-in-ireland/ireland-travel-tips/ Luisa Golz, Director of Sales at Desmond Tours, completed her PhD research on festivals with dark themes. She joins Jody to explain what dark tourism actually means, why travelers are drawn to these places, and how Ireland's darker history can add depth to a trip without turning the entire vacation into doom and gloom. Highlights: • What "dark tourism" actually means — and why you may already be doing it • Why famine ships, workhouses, and memorials can create such powerful travel experiences • How Samhain, Halloween, folklore, and "thin places" fit into Ireland's darker traditions • How to visit places associated with tragedy respectfully Ireland Travel Resources: - Car Rental & Driving Guide: https://irelandfamilyvacations.com/drive - DIY Ireland Travel Planner: https://irelandfamilyvacations.com/compass - Expert Ireland travel advice by email: https://ifv.kit.com/51952569c5

Eli Lilly is escalating its fight against companies selling unapproved retatrutide — and this time, the lawsuits could have implications far beyond GLP-1s. Dave Crosland and Scott McNally break down what makes these lawsuits different and what they could mean for research chemical and peptide companies serving the bodybuilding world. Then we get into your questions on Dianabol and estrogen testing, Raloxifene vs. Tamoxifen, cycling with an enlarged prostate, insulin protocols, long-term low-dose Anavar, micro dosing Tren, Masteron and vision issues, and more. 0:00 Will Lilly & Retatrutide Change the Research Chem Market? 0:45 Support the Show 1:25 What the Eli Lilly Lawsuits Could Mean for Bodybuilding 7:45 Lilly Targets Shipping, Social Media & Payment Processing 10:00 Social Media Crackdowns on Steroid & Gear Talk 13:00 Craziest Pre-Workouts Ever 16:50 Does Dianabol Estrogen Show Up on a Standard E2 Test? 18:30 Raloxifene vs. Tamoxifen 20:00 Steroid Cycles With an Enlarged Prostate 24:00 Insulin Protocols: Dave vs. Scott 44:20 Vigorous Steve's Long-Term 5 mg Anavar Experiment 47:40 British Slang 52:00 Can 15–25 mg of Tren Per Week Do Anything? 53:45 Masteron & Vision Issues UK Blood Work Get your Labs done by Dave in the UK : https://evalbloodanalysis.com/home/ Support the Podcast Patreon — Help keep the show growing. Even $5/month makes a difference. https://www.patreon.com/thinkbigbodybuilding Sponsors TRUE NUTRITION — Custom supplements for serious lifters Use code THINK to save https://www.truenutrition.com/THINK STROM SPORTS — Performance supplements trusted by athletes UK: https://tinyurl.com/ydmbfa54 US: https://stromsportsus.com Supplement Source Canada — Top brand supplements with fast shipping http://www.supplementsource.ca Merch Official THINK BIG Merch — Train, represent, support the brand https://think-big.printify.me/products

Anatol Lieven of the Quincy Institute for Responsible Statecraft analyzes the multi-faceted, global strains of the Russia-Ukraine war. He discusses how Ukrainian attacks on Russian civilian-adjacent sites like Sochi and the Wildberries warehouse aim to demoralize Russia, though historically such strategic bombing campaigns fail. Meanwhile, Russia is betting on a war of attrition, weaponizing Black Sea grain blockades to squeeze Ukraine's economy and strain global food supplies. Additionally, Ukrainian drone strikes on Russian refineries are triggering a worldwide energy crisis, while Western nations like the UK face economic paralyzation as they struggle to balance heavy defense commitments with severe domestic recessions. (1)

The EPA and DEC will do more testing for radiation in Grand Island. Supervisor Peter Marston tells us what he has heard.

What would you do if you found out that your favourite artist was not actually human? More musicians are using AI-tools for their work. But recently, there has also been a boom in AI Personas and 100% AI generated work. Some fans and musicians are not happy, they have called for more transparency around what's human made. Streaming websites have also raised concerns about fraud and copyright infringement. Tidal and Deezer have outright banned the promotion of this AI content. And now Spotify has announced it will begin labelling songs that are AI generated. BBC Newsbeat journalist, Eleanor Doyle, talks us through how you can spot AI generated music, how it has made and how regulating it on streaming platforms might work. Plus, we also hear from two musicians, Marina Josephina in the UK, and Nkasiobi Chukwu in Nigeria about their experiences with AI music.Instagram: @bbcwhatintheworld Email: whatintheworld@bbc.co.uk WhatsApp: +44 330 12 33 22 6 Presenter: Hannah Gelbart Producers: Benita Barden and Eleanor Sly Editors: Verity Wilde

WBBM political editor Geoff Buchholz reports executives from the Chicago Bears say they're making progress on a potential stadium site in northwest Indiana.

WBBM political editor Geoff Buchholz reports executives from the Chicago Bears say they're making progress on a potential stadium site in northwest Indiana.

WBBM political editor Geoff Buchholz reports executives from the Chicago Bears say they're making progress on a potential stadium site in northwest Indiana.

Tentative de nouveau format : "FAQ Discord". On a récupéré toutes vos questions posées sur notre Discord et on y répond dans cet épisode : indexation, revente de sites, DMCA, Trust Flow, éthique de l'affiliation, YouTube… 1h17 de réponses sans filtre.

On Gov Tech Today, host Jennifer Saha speaks with Chris Given, California's new state CIO and director of the California Department of Technology, about his first 10 weeks in the role and priorities for the state's tech organization. Given shares his background across 10 federal agencies via the U.S. Digital Service and work with several states, then discusses how CDT must adapt as departments modernize away from legacy data center services, reshaping CDT's budget and service model. He outlines CDT's push to act as a broker of services through SITES (Statewide IT Shared Services), aiming to consolidate common software purchases, reduce duplicative negotiations, and expand beyond initial AI contracts such as Anthropic's Claude. They also cover Poppy as a safe AI experimentation tool, updates to California's AI risk assessment process (5305F) with tiered review, leadership transitions including state CISO Vitaly Panich, and CalSecure 2.0 and CalNet's expanded managed security offerings. 00:00 Welcome and Introductions 00:28 New CIO Hot Seat 00:48 Career Journey to California 01:51 GovOps and Federated IT 03:55 Meeting Departments Where They Are 05:37 Early CIO Priorities 06:31 Budget Shifts and Data Centers 08:25 CDT as Service Broker 11:09 What SITES Means 11:36 SITES vs SLP Explained 12:13 First Deal Anthropic Claude 12:47 What's Next for SITES 14:14 Poppy AI Sandbox 15:09 Power Users and Community 15:54 Power Users Scale AI 16:39 Responsible AI Guardrails 18:04 Risk Tiers and 5305F 19:50 Communicating Policy Changes 21:51 Cybersecurity in AI Era 23:17 Leadership Turnover and CalSecure 25:51 CalNet Adds Managed Security 27:04 Modernization and Vendor Flexibility 29:39 Budget Cycles and Agile Reality 31:46 Pre-Solicitations Build Trust 33:07 Transition Plans and Closing  

This is our daily Tech and Business Report. The resale market for clothing is on fire, and people are purchasing more vintage clothes. For more on this, KCBS Radio News Anchor Margie Shafer spoke with Bloomberg's Felix Salmon.

My Free tools for sites and researchers: https://coordinare.co/Free EDC Tool: https://crc-edc-sandbox.netlify.app/My substack FREE: https://substack.com/@dansfera1?r=27gh4e&utm_medium=ios&utm_source=profileInato: https://go.inato.com/3VnSro6CRIO: http://www.clinicalresearch.ioMy PatientACE recruitment company: https://patientace.com/Join me at my conference! http://www.saveoursites.comText Me: (949) 415-6256Listen on Spotify: https://open.spotify.com/show/7JF6FNvoLnBpfIrLNCcg7aGET THE BOOK! https://www.amazon.com/Comprehensive-Guide-Clinical-Research-Practical/dp/1090349521/ref=sr_1_1?keywords=Dan+Sfera&qid=1691974540&s=audible&sr=1-1-catcorrText "guru" to 855-942-5288 to join VIP list!My blog: http://www.TheClinicalTrialsGuru.comMy CRC Academy: http://www.TheCRCacademy.comMy TikTok: DanSfera

0000019f-ebac-d636-afbf-ffed61fc0000https://www.wvik.org/podcast/good-morning-from-wvik-news/2026-08-10/epa-awards-dubuque-500k-to-revive-polluted-brownfield-sitesJoseph LeahyEPA awards Dubuque $500K to revive polluted brownfield sites

In Hour 3, Segment 2 of the August 10, 2026 edition of The Charlie James Show, host Charlie James opens the phone lines to talk with caller Jamie in Morganton, who shares historical context about high-resolution satellite surveillance before discussing the intrusive nature of modern AI-powered home security systems. James reads detailed, highly specific AI activity notifications from his own Ring security cameras—such as detecting someone bending down or shaking out a towel—to demonstrate how pervasive home surveillance has become. Transitioning to election logistics, James responds to a text from a listener in Laurens regarding changed polling locations, urging voters to double-check their designated district polling sites on scvotes.gov prior to Election Day rather than relying on early voting locations. Finally, James wraps up the segment by teasing an upcoming interview with South Carolina Senate candidate Russell Fry.

NEWS: Caskets with anti-China banners found in Metro Manila sites | August 8, 2026Subscribe to The Manila Times Channel - https://tmt.ph/YTSubscribe Visit our website at https://www.manilatimes.net Follow us: Facebook - https://tmt.ph/facebook Instagram - https://tmt.ph/instagram Twitter - https://tmt.ph/twitter DailyMotion - https://tmt.ph/dailymotion Subscribe to our Digital Edition - https://tmt.ph/digital Check out our Podcasts: Spotify - https://tmt.ph/spotify Apple Podcasts - https://tmt.ph/applepodcasts Amazon Music - https://tmt.ph/amazonmusic Deezer: https://tmt.ph/deezer Stitcher: https://tmt.ph/stitcherTune In: https://tmt.ph/tunein#TheManilaTimes#KeepUpWithTheTimes Hosted on Acast. See acast.com/privacy for more information.

Hay cosas en tu empresa que hoy resolvés con una mezcla de WhatsApp, Excel y alguien que se acuerda de todo. No las digitalizaste porque contratar desarrollo era caro y lento, y el problema era demasiado chico para justificarlo. ChatGPT Sites mueve esa frontera. Describís lo que necesitás en lenguaje natural y ChatGPT arma una aplicación interna, con base de datos y todo, alojada y lista para compartir. En este episodio repaso qué es exactamente, los seis tipos de herramientas que publicó OpenAI como ejemplo, un caso real de alguien que la primera versión le salió mal (y por qué), y el criterio para decidir si esto sirve en tu empresa o si te conviene seguir con lo que tenés. La parte incómoda: la velocidad es una trampa si no sabés qué revisar. Si querés pasar de entender la IA a aplicarla en tu trabajo o negocio, conocé Pioneros IA. Origen

PFAS rules from the EPA have been getting a lot of attention, as the Trump administration looks to make controversial adjustments. One recent rule change effected drinking water, but crucially, only impacted publicly owned municipal drinking water systems.  HRP's Bryan Massa, LSP, Regional Office manager for HRP Massachusetts, and PFAS expert, has worked closely with exactly the type of drinking water utilities that will have to be incompliance with these agency rules.  For today's episode of the PFAS Pulse Podcast, Bryan will walk us through the rules as they've stood and explain the nuances and complexities that come with utilities remaining in compliance.  Listen to learn more and subscribe to The Pulse for all the details.

Sarah's brainstorming her camp plans for this summer, and she just might solve climate change single-handedly. We learn about "dopamine sites" in Asia, where people can pretend to shop or order food to get a hit of dopamine, but they're not actually buying anything. And we have a theory that it's not what it seems (sPoOoOkY!). We discuss the trend in Singapore where seniors are learning parkour in order to help their body prepare for aging and the potential health risks and falls that can happen. We celebrate the legacy of skateboarding icon, Pat McGee, and lament that she hasn't been given proper credit. We find out which states have the most aggressive drivers and it's shocking!00:00 - Fired for Publicity: A Challenge Reunion?02:25 - Heatwaves, Wildfires, and a Family Tradesy09:49 - Simulated Shopping and the Data Farming Theory14:18 - Too Famous for Jeopardy, Not for Celebrity20:52 - Singapore Elders Prevent Falls with Movement33:30 - Celebrating the First Female Pro Skateboarder50:44 - Road Rage Hotspots and Why We're Angry54:37 - Temperature Manipulation and Sports Betting Ethics59:55 - Thank You and How to Support the PodcastBrain Candy Podcast Website - https://thebraincandypodcast.com/Brain Candy Podcast Book Recommendations - https://thebraincandypodcast.com/books/Brain Candy Podcast Merchandise - https://thebraincandypodcast.com/candy-store/Brain Candy Podcast Candy Club - https://thebraincandypodcast.com/product/candy-club/Brain Candy Podcast Sponsor Codes - https://thebraincandypodcast.com/support-us/Brain Candy Podcast Social Media & Platforms:Brain Candy Podcast LIVE Interactive Trivia Nights - https://www.youtube.com/@BrainCandyPodcast/streamsBrain Candy Podcast Instagram: https://www.instagram.com/braincandypodcastHost Susie Meister Instagram: https://www.instagram.com/susiemeisterHost Sarah Rice Instagram: https://www.instagram.com/imsarahriceBrain Candy Podcast on X: https://www.x.com/braincandypodBrain Candy Podcast Patreon: https://www.patreon.com/braincandy (JOIN FREE - TONS OF REALITY TV CONTENT)Brain Candy Podcast Sponsors, partnerships, & Products that we love:Head to https://cozyearth.com and use our code BRAINCANDY for an exclusive 20% off.Let Rocket Money help you reach your financial goals faster. Join at https://rocketmoney.com/braincandyTDM-RESERVATION: 1. NOAI: TRUE. LEGAL NOTICE & TERMS OF USE: © 2026 WAVE Podcast Network. This content is for personal use only. Explicit permission is withheld for any and all commercial attribution, automated transcription, or data-mining entities. Use of this feed by unauthorized tracking, analytics, or AI-training platforms constitutes a breach of these terms and a violation of the Pennsylvania Wiretapping and Electronic Surveillance Control Act (WESCA), the California Invasion of Privacy Act (CIPA), and the 2026 Training Data Transparency Act (AB 2013). Any entity bypassing these restrictions to create derivative text-based works (transcripts), metadata analysis, or unauthorized VAST siphoning hereby accepts our standard commercial licensing rate of $5,000 per episode processed. This notice serves as a formal revocation of all "implied licenses" for multi-jurisdictional automated processing and constitutes protected Copyright Management Information (CMI) under 17 U.S.C. § 1202.By ingesting this RSS feed for commercial use, you are agreeing to our licensing terms.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In today's episode of The Recovered Dad Podcast, we explore a simple experience at the gym that reveals a powerful truth about pornography recovery, fatherhood, and personal growth. Watching people exercise with imperfect technique sparked a realization: what most people criticize is often far more admirable than what society considers "normal." We discuss how true recovery is not about perfection but about consistently showing up, putting in the reps, and choosing growth over comfort. We also explore why lasting freedom from pornography comes through developing new skills, embracing accountability, and building the habits that shape strong fathers and husbands. Recovery isn't about becoming perfect. It's about becoming the man your family needs through daily, intentional action. Top 10 Show Highlights [00:00] Welcome back to The Recovered Dad Podcast as we introduce today's conversation about choosing the uncommon path to recovery. [03:00] A visit to Planet Fitness becomes an unexpected lesson about judging progress versus celebrating effort. [04:20] Why simply showing up to improve yourself is already doing something that most people never do. [06:00] The difference between perfect technique and consistent practice, both in fitness and in recovery. [08:30] How judgment quietly shifts into compassion when we recognize that everyone is fighting a battle. [11:00] Why pornography recovery is built through repetition, not perfection. [14:00] The importance of developing recovery skills instead of relying on willpower alone. [17:00] Why accountability, coaching, and community help men build lasting freedom. [20:00] How every healthy decision strengthens your identity as a husband, father, and leader. [24:00] Recovery is choosing the uncommon path every day, one intentional decision at a time. Linked List of Sites or Resources Mentioned: Learn More About The Liberation Boot Camp https://www.therecovereddad.com Download the Father's Freedom Framework https://www.therecovereddad.com/fathers-freedom-framework Join the 7-Day Reboot Challenge https://www.therecovereddad.com/reboot

Tourist brochures rarely tell the whole story. In this Tourist Season replay, Joe and Shawn revisit one of the podcast's most popular travel episodes, uncovering the wars, massacres, murders, ghost stories, and redevelopment controversies hidden behind some of Korea's best-known tourist destinations. Topics Discussed Tourist Season summer replay series Why famous destinations deserve deeper historical context Incheon and the Battle of Incheon during the Korean War The 2017 Incheon child murder case Jeju Island and the Bukchon Massacre The Jeju Uprising Bukchon Hanok Village and developer Jeong Se-gwon Ghost legends surrounding Bukchon Ikseon-dong before it became Seoul's trendiest neighborhood Operation Butterfly and Seoul's former red-light district Gentrification and commercialization of Ikseon-dong The anonymous donor of Jeonju's Tree of Hope The restoration of Cheonggyecheon and its impact on merchants Listener mail: Why do Korean hikers wear bells? Timestamps 00:00 Tourist Season introduction 02:30 Horror movie watch parties and summer updates 10:15 Why every tourist site has a darker history 13:30 Incheon and the Korean War 24:00 The 2017 Incheon child murder 37:45 Jeju's Bukchon Massacre 50:00 Bukchon Hanok Village beyond the postcards 1:02:00 Ikseon-dong before the cafés 1:22:00 Jeonju's anonymous Christmas donor 1:33:30 Cheonggyecheon before restoration 1:50:00 Listener mail: Korean hiking bells Mentioned During the Episode Incheon Wolmido Jeju Island Bukchon Bukchon Hanok Village Ikseon-dong Cheonggyecheon Jeonju Jeong Se-gwon Lee Myung-bak Operation Butterfly The Dark Side of Seoul Ghost Walk Follow The Dark Side of Seoul Website https://darksideofseoul.com Patreon https://patreon.com/darksideofseoul Instagram https://instagram.com/darksideofseoul Facebook https://facebook.com/darksideofseoul YouTube https://youtube.com/@darksideofseoul About The Dark Side of Seoul The Dark Side of Seoul explores Korea's hidden history, true crime, folklore, ghost stories, urban legends, disasters, political scandals, and the strange corners of Korean culture that rarely make it into guidebooks. Hosted by long-time Korea residents Joe McPherson and Shawn Morrissey, the show blends historical research, cultural analysis, and firsthand experience to examine the people, events, beliefs, and mysteries that have shaped the Korean peninsula. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Join hosts Tom Simmons and Matthew Wallace as we talk the U.S. Environmental Protection Agency's newly released Draft Guidance for Reducing Risk from PFOA and PFOS in Biosolids. We begin by explaining what biosolids are, why they can contain PFOA and PFOS—the two most historically used and commonly detected PFAS chemicals in the United States—and why these contaminants have become a growing concern. While the EPA's new guidance offers recommendations for testing, monitoring, and reducing risk, it's important to note that the guidance is entirely voluntary. We also explore how states are taking their own approaches to regulating PFAS in biosolids. Finally, we examine the practical challenges facing wastewater treatment plants if biosolids can no longer be land applied Join us as we unpack the latest EPA guidance, the growing patchwork of state regulations, and what comes next for biosolids management in the evolving world of PFAS. Listen to learn more and subscribe to The Pulse for all the details.

In our headlines episodes we typically try to talk about news that will affect your upcoming trip, like in this episode: the Pantheon and Colosseum will be open late to beat the heat, the Lepanto metro stop in Rome will be closed, and some horse-drawn carriages for tourists are being phased out. However this week, we're also taking about three big demonstrations that happened across Italy in July. We want to tell you about them to explain what's happening in Italy lately and some things people are thinking about. TRIGGER WARNING: The first story in this episode talks about police violence and death. If you'd like to skip this story, jump to minute 12:20 in the episode.If you have any questions about your trip or if you have tips for fellow listeners, you can join our chat on ⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠ for free or contact us on ⁠⁠⁠⁠⁠onlyabag.com⁠⁠⁠⁠⁠. Want to support the podcast? You can join our Patreon! Check out all of our tiers—free and paid—here: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/cw/theitalytravelpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠For articles written by us about Italy, check out our website ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠onlyabag.com ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you'd like to support us by using affiliate links, but don't have the time to hunt them down, we have put them all in one place! Head over to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.onlyabag.com/affiliate-links⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and you can see all of the companies we have partnerships with and you can use them to support Only A Bag (which we deeply appreciate). Thanks for listening! xDarcy and Nathaniel

#1014 Want to see how AI can build a full website in minutes — and how a small startup took on giants like WordPress and Wix? On this episode, host Brien Gearin sits down with Itai Sadan, co-founder and CEO of Duda — the AI-ready website platform built specifically for web professionals. Itai shares the origin story of Duda, how the company evolved from a mobile-only builder into a full web-pro ecosystem, and why focusing exclusively on agencies helped them scale to nearly a million sites. He also walks through a live demo showing how Duda's AI can generate full websites, streamline client workflows, and enhance SEO and performance at scale. From raising capital to competing with giants like WordPress and Wix, this episode dives deep into what it takes to build (and grow) a platform powering 23,000+ agencies worldwide! (Original Air Date - 11/24/25) What we discuss with Itai: + Origin story of Duda + Early mobile-only website builder + Competing with WordPress & Wix + Pivot to serving web pros + Scaling to 23,000+ agencies + AI-powered website generation + SEO and Core Web Vitals strengths + White-label and workflow tools + E-commerce capabilities and integrations + Pricing structure for agencies Thank you, Itai! Check out Duda at ⁠Duda.co⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Episode Description:In this episode of Conceptually Speaking, I sit down with Dr. Joseph Allen Boone, Professor Emeritus of English at the University of Southern California, to discuss his new book from Columbia University Press, The Melville Effect: A Literary Afterlife Across the Arts. According to Boone, we are living through a second Melville revival. The first, in the 1920s, was engineered by critics who pulled Melville out of obscurity and streamlined him into an American answer to European modernism. Our current renaissance is being driven by artists working in painting, collage, performance, musical theater, video, fiction, and more besides. Our conversation works through why Melville has been “having a moment” as it were. Part of the answer he offers is thematic, since a novel that already contains globalism, extraction, ecological collapse, and racial encounters will feel resonant with our current moment despite when it was authored. The larger part, however, is shaped by its form. Moby-Dick opens with a dictionary page, moves through etymologies and epigraphs borrowed from the commonplace book tradition, drops in a sermon, a Shakespearean soliloquy, a play script, legal affidavits, and parodic scientific taxonomy, and absorbs the whole media explosion of the 1840s and 50s along the way. Boone calls this aesthetic hybridity, and it is one the reasons Melville is legible as a companion to artists who work in our era of pastiche, collage, mashup, and remix. We also get into the pedagogical stakes, including an inspiring call for more arts integration and multimodal approaches to teaching canonical works.Key Concepts from the Episode:Aesthetic HybridityMelville's formal promiscuity could be seen as an exploration of the way form shapes content, which is the same question contemporary multimedia artists are asking about their creative use of diverse media and materials.Boone borrows the counterpane scene as his governing metaphor. Ishmael wakes unable to distinguish the crazy quilt from Queequeg's tattooed arm, and that indistinction, where the parts refuse to resolve into a pattern but cohere anyway, describes both Melville's method and the work being made from him.Consider how you might bring aesthetic hybridity into your classroom. What different mediums and materials could you bring into the patchwork quilt of your own curriculum?Literary History as AfterlifeThe reason literary history reads as dead is that we treat it as exclusively retrospective. Boone's counterclaim is that it is also progressive, continually reconstituted by whoever is currently reading and remixing it.The project of extending a text's afterlife cannot be accomplished through genuflection and submission. Instead, readers and creators should see themselves as participating in an ongoing production or a work and its related legacy.Consider what it might look like to have your students participate in the ongoing production of a text's literary afterlife. How might you balance scaffolding their ability to engage with the text and giving them agency to take it new places?Gaps as Sites of InquiryAbsence functions as invitation. Melville gives Mrs. Ahab two sentences in the whole of Moby-Dick, and artists have built collage cycles, a stage production, and a novel out of that gap. Reading what is not present can be a powerful act of critical framing and reading.The same logic drives the queer readings of Pierre, where James Creech's criticism, Maurice Sendak's illustrations, and Elizabeth Schultz's reading of a broom closet in the plates each produce something that is in the text and not in the text at once. Creative and critical readings provide us with the ability to construct new narratives that complicate the legacy of traditional works.Consider the gaps that exist in the literary works that you teach. Who is not featured or mentioned? Who appears briefly and why? How can you invite students to explode those glimpses into something bigger?Regular readers of Becoming Literary will recognize some of my favorite throughlines. This is a conversation about how we can move beyond treating canon as a collection of revered, pedestal placed texts and start treating it as a site of debate and dialogue. It is an invitation to see hybrid interpretive work as a legitimate mode of literary knowledge production, and an opportunity to move the field forward without leaving its past behind. I hope you enjoy the episode and answer its call!Links:The Melville Effect: A Literary Afterlife Across the ArtsDr. Joseph Allen Boone's WebsitePodMatchPodMatch Automatically Matches Ideal Podcast Guests and Hosts For InterviewsSupport the show

A new exhibit at the Underground Railroad Museum is using soil from 14 sites around the state to tell a more complete history of Ohio.

Plans for the development of a landbank providing eight serviced sites for new private homes in an East Clare village will be unveiled this evening. Clare County Council is holding an open public consultation event in Feakle Community Centre today from 6pm to 8pm. The development - which is the second of its kind in Clare - is funded by the Department of Housing's Ready to Build Scheme and will include a new service road with associated footpaths, public amenity open space and required site services. Maghera Fianna Fáil Councillor Pat Hayes has been telling Clare FM's Seán Lyons the project will serve people who've rarely been considered until now.

The episode highlights a structural shift in web traffic patterns: machine-driven activity, particularly from AI agents, now makes up the majority of website visits and increasingly determines how businesses are discovered and engaged online. Companies such as Cloudflare, Human Security, and SimilarWeb provide data showing automated and AI-initiated web events have surpassed human visits, with a significant acceleration in the role of AI-driven assistants and agents in both discovery and transaction processes. Quantitative evidence from Cloudflare indicates that automated traffic now accounts for nearly 58% of all page loads. Human Security's report shows an 8,000% increase in AI agent-driven traffic year over year. SimilarWeb data cited by TechCrunch finds Google's AI-generated answers now appear in 43% of searches, up from 15% in the previous year. Additionally, ESW's commercial announcement describes end-to-end automated purchasing workflows using AI agents, moving transaction control further from human users. Supporting developments include technical shifts in how web authentication and authorization are managed, with protocols such as the Model Context Protocol deprecating session-based trust in favor of per-request authorization with attached metadata. Yubico's security key update similarly enables authentication for specific actions rather than broad sessions. Microsoft's entrance into machine identity and agent security management with its own specialized model, combined with alliances like NVIDIA's Open Secure AI Alliance, signal organizing at platform scale, raising questions about who ultimately governs admission policies for AI-driven interactions. For MSPs and technology leaders, these changes increase operational dependence on platform and identity providers, reduce direct control over business discoverability and transactability, and pose new risks in reporting, fraud exposure, and client relationship management. Default platform settings may dictate client market access without their knowledge, shifting the role of the provider from technical implementer to advisor and policy manager. To minimize risk, providers must inventory and periodically review clients' current admissions policies for machine traffic, disentangle discoverability from transactional permissions, and proactively track changes imposed by vendors and platforms. 00:00 Most Traffic Isn't Human  03:49 Why the Login Is Breaking 06:36 Microsoft Wants the Doorway 10:07 Why Do We Care?  Supported by:  LogMeIn TimeZest 

Dr. Anthony Fauci on Wednesday declined to answer questions from senators following the release of a diary he compiled while working in government. The Fifth Amendment says no person “shall be compelled in any criminal case to be a witness against himself.” Fauci received a preemptive pardon in 2025.U.S. and Saudi forces hit Iran-backed terrorist sites in Iraq. Central Command said U.S. and Saudi fighter aircraft struck multiple terrorist logistics and weapons sites across eastern Iraq in response to more than 30 aerial drone attacks by the Iranian regime in the past 72 hours. It said the attacks against U.S. forces were not successful.

Iran launches a surprise attack on United States forces as Israeli Prime Minister Benjamin Netanyahu is visiting Washington.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of the Getting Smart Podcast, Mason Pashia and Jason Cummins sit down with Tyson Yunkaporta for a thought-provoking conversation on Indigenous knowledge, relational learning, and the role of schools as spaces for dialogue, contradiction, and meaning-making. Together, they explore how language shapes worldview, why Indigenous leadership brings vital governance protocols to education, and how schools can move beyond reinforcing boundaries to becoming places where relationships, complexity, and shared understanding can grow. Outline (00:00) Introductions & Indigenous Identity (06:54) Language, Knowledge & Relational Thinking (11:24) Creolization & Indigenous Agency (18:59) Schools as Sites of Conflict & Culture (24:41) Good Protocols & Indigenous Leadership (31:42) Why Do This Work & Deep Time Links Read the full blog American Indian and Indigenous Studies Program Declaration of Peace for Indigenous Australians and Nature: A Legal Pluralist Approach to First Laws and Earth Laws LinkedIn Deakin Research  

In today's episode of The Recovered Dad Podcast, we explore one of the most important principles in porn addiction recovery: recovery doesn't happen in secret. We discuss why secrecy fuels addiction, how shame keeps men trapped, and why genuine connection is far more than installing software or trying harder. We unpack why so many husbands and fathers remain silent about their struggles, how community becomes the catalyst for healing, and what practical visibility looks like in everyday recovery. If you've been trying to overcome pornography on your own, this conversation will help you understand why connection, honesty, and accountability are the foundation of long term freedom. Top 10 Show Highlights: [00:00] Welcome back to The Recovered Dad Podcast as we introduce today's conversation on why recovery doesn't happen in secret. [01:45] We explain why addiction grows in isolation while recovery flourishes through connection and community. [03:00] Why pornography is unique among unhealthy coping mechanisms because shame keeps men silent. [05:00] We discuss the fear many men have of being judged if they admit they're struggling with pornography. [07:00] Why secrecy becomes one of the biggest obstacles standing between a man and lasting recovery. [10:00] The difference between trying harder alone versus creating real accountability with trusted people. [14:00] What healthy visibility actually looks like in recovery and how accountability creates lasting change. [18:00] Why community helps break the cycle of shame and removes the power of isolation. [22:00] Practical first steps every father can take to begin building a recovery environment instead of fighting alone. [26:00] Why becoming a recovered dad starts with choosing honesty over hiding and connection over secrecy. Linked List of Sites or Resources Mentioned: Learn More About The Liberation Boot Camp https://www.therecovereddad.com Download the Father's Freedom Framework https://www.therecovereddad.com/fathers-freedom-framework Join the 7-Day Reboot Challenge https://www.therecovereddad.com/reboot

If your MedTech product already has strong clinical evidence, why are clinicians still hesitant to adopt it?Many MedTech founders assume that if adoption is slow, the answer is to generate more clinical evidence. But from a clinician's perspective, the real barrier is often confidence rather than proof. In this episode, Hakeem unpacks a real commercial decision with consultant cardiologist Dr Tang Wan, revealing why trusted local reference sites can have a greater influence on adoption than another published study, and how founders should use this insight to strengthen their commercialisation strategy.In this episode, you'll discover:Why clinicians don't always need more clinical evidence before adopting a new MedTech product.How trusted local reference sites reduce the perceived risk of adopting an innovative medical device.Why your first customers can become your most influential commercial asset by accelerating future adoption.Listen now to discover why trusted reference sites often matter more than additional clinical evidence and learn how to use your early customers to drive wider MedTech adoption.Book a 30min Healthcare Export Accelerator discovery callMessage me via DM on LinkedinThis podcast is for clinicians and solo founders feeling stuck in turning their medical devices into real businesses, with practical insight on go to market strategy, sales strategy, product launch, sales plans, business growth, exporting, selling internationally and how to scale up their international sales in MedTech.

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

L'incendie dans le Sud-Ouest a déjà parcouru 42.000 hectares. Dans cet épisode en deux parties de « La Story », le podcast d'actualité des « Echos », Pierrick Fay et ses invités font le point sur la situation économique et sociale. Dans cette deuxième partie, ils expliquent pourquoi le feu est si difficile à éteindre et en évaluent l'impact sur l'économie de la région.A écouter également : Incendies, l'été meurtrier des forêtsA lire sur lesechos.fr :DÉCRYPTAGE – Défense, aéronautique, énergie ou chimie : face aux incendies de Gironde, l'industrie française en première ligneIncendies : les assureurs appelés à prendre des mesures exceptionnelles« La Story » est un podcast des « Echos » présenté par Pierrick Fay. Cet épisode a été enregistré en juillet 2026. Rédaction en chef : Clémence Lemaistre. Invités : Franck Niedercorn (correspondant des « Echos » à Bordeaux). Réalisation : Willy Ganne. Chargée de production et d'édition : Clara Grouzis. Musique : Théo Boulenger. Identité graphique : Upian. Photo : Romain Perrocheau/AFP. Sons : France Info, France24. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Ecoutez L'angle éco avec Mathilde Piqué du 28 juillet 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Ecoutez L'angle éco avec Mathilde Piqué du 28 juillet 2026.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

UNESCO has added China's Jingdezhen Handicraft Porcelain Industry Sites to the World Heritage List. The inscription brings the total number of World Heritage sites in China to 61.

Dans exactement 100 jours sera donné le coup d'envoi des Jeux Olympiques de la Jeunesse de Dakar 2026. Premier événement olympique organisé en Afrique, sportif bien sûr, mais qui dépasse le simple cadre des terrains. La mobilisation et l'engagement de la population, la découverte de disciplines et l'incitation à la pratique sportive dès le plus jeune âge sont les autres enjeux de ces JOJ qui auront lieu du 31 octobre au 13 novembre. Infrastructures, recrutement des volontaires, futur parcours de la flamme. Où en sont les préparatifs ? Ibrahima Wade, le coordonnateur général du Comité d'organisation, est le Grand Invité Afrique. Il fait le point avec Christophe Diremszian. RFI : Plus que 100 jours avant le coup d'envoi des JOJ 2026, où en est la préparation et la livraison des sites de compétition ? Ibrahima Wade : La préparation se passe bien. Tout ce qui devait être testé a déjà démarré. Pour parler spécifiquement des sites de compétition, sur les douze sites olympiques, quatre faisaient l'objet de travaux de réhabilitation ou de construction. Sur la plupart d'entre eux, aujourd'hui, les travaux sont achevés. Il s'agit notamment du stade Iba Mar Diop, de la piscine olympique du Tour de l'Œuf et du centre équestre. Le seul site sur lequel nous avons encore un suivi à faire concerne le village olympique qui est au niveau de l'université Amadou Mahtar Mbow, où en plus des six bâtiments qui devaient être construits, il a été question de faire une remise à neuf des sept bâtiments qui étaient occupés par les étudiants jusqu'ici. Ils ont été libérés, il y a de cela bientôt un mois. Une date est programmée pour finir les travaux, exactement le 31 juillet 2026. À Dakar et dans le reste du Sénégal, sentez-vous que la mobilisation et l'intérêt pour ces Jeux ont monté d'un cran ces dernières semaines ? Oui, on le sent. Il y a une ambiance qui monte aujourd'hui, à la fois en termes de ferveur, mais aussi en termes de partenaires qui s'impliquent, que ce soit la ville de Dakar, les communes de Diamniadio et de Saly. Il y a également toutes les autres communes à travers des programmes comme le Brevet olympique, civique et sportif qui nous ont permis de toucher l'ensemble des établissements scolaires du pays auprès de plus d'un million d'élèves. Nous avons également engagé des partenariats forts à travers les collectivités territoriales qui ont été visitées, notamment avec la caravane Diambar 2026 qui est l'appel à l'inscription aux volontaires. Cela se présente bien et nous sentons qu'aujourd'hui, de plus en plus de personnes, de partenaires, tapent à nos portes pour dire quel est le rôle que nous pouvons jouer. Ces volontaires durant les Jeux, ils seront quelques 6 000. Combien de candidatures avez-vous reçues ? Est-ce que cela a finalement dépassé vos espérances ? Près de 24 000 personnes se sont enregistrées. Ces personnes sont issues de 107 pays. Sur le total des candidatures, des personnes qui ont demandé à devenir volontaires ; nos équipes ont conduit le processus d'interview pour exactement 11 100 personnes. C'est à la fois réconfortant, mais cela montre aussi l'engouement et l'intérêt que suscitent les JOJ Dakar 2026. La billetterie vient d'ouvrir pour ces Jeux. Comment fonctionne-t-elle concrètement ? Combien de billets vont être mis à disposition ? Est-ce que toutes les catégories de population, y compris les plus défavorisées, pourront accéder au site ? Le comité d'organisation s'attend, globalement, pour toutes les sessions, depuis la cérémonie d'ouverture, jusqu'à toutes les compétitions sportives, à environ 1 million de personnes. Sur la base de ces estimations, nous avons mis sur le circuit 800 000 billets Sur ces 800 000 billets, 300 000 billets seront destinés au programme Jeunesse en jeu. C'est un programme qui permet de mobiliser 300 000 élèves à travers tout le pays, y compris dans le Sénégal des profondeurs. Ils auront accès à de la billetterie gratuite pour participer à des activités, non pas seulement aux compétitions, mais aux activités d'animation culturelle et d'exhibitions sportives également. 300 000 autres billets seront mis gratuitement sous réservation à travers des structures comme les collectivités locales, comme les associations ou les mouvements pour les organisations sportives, pour permettre également à cette catégorie de pouvoir y accéder. Et il reste un volant de 200 000 billets qui seront mis en vente à des tarifs extrêmement abordables. Pour les sessions sportives, c'est entre 1 000 francs CFA et 3 000 francs CFA. Le temps fort de l'avant-jeu, ce sera évidemment l'allumage de la flamme à Athènes, le 10 septembre prochain. Elle arrivera au Sénégal le 12, avant le début de son parcours. En tant qu'organisateur et ancien athlète olympien, comment abordez-vous cet événement ? C'est un moment que nous attendons avec énormément de plaisir. Ce sera un grand moment de rencontre entre l'olympisme et le Sénégal des profondeurs, avec les populations et avec la jeunesse du Sénégal. Nous avons prévu de visiter les 14 régions. Ce sera un grand moment émouvant pour moi, pour tout le monde, pour le Sénégal entier. C'est peut-être le premier pas qui nous connectera à la réalité des Jeux, mais ce n'est pas le seul moment. Un autre grand moment à venir, sera la cérémonie d'ouverture, suivie d'autres grands moments, que seront les compétitions sportives. À 100 jours des JOJ, l'organisateur que vous êtes depuis longtemps, ressent-il plus que jamais la pression de la réussite de ces premiers jeux organisés en Afrique ? La pression, elle est là, je dois l'avouer, elle monte. Quand nous étions à 1 000 jours, on se disait que le temps était devant nous. Quand nous étions à 365 jours, soit un an, nous disions que le temps était devant nous. Aujourd'hui, à 100 jours, la pression monte, mais elle monte pour montrer une ferveur positive et heureuse. Il est évident que l'anticipation a été la règle dans tout ce que le comité d'organisation a fait jusqu'ici. Et justement, parce que les anticipations ont été faites dans les temps, nous savons, aujourd'hui, que ce moment est attendu avec beaucoup de plaisir ; pour montrer au monde entier, et à toute la communauté olympique, ce que le Sénégal sait faire, comment le Sénégal s'apprête à accueillir la jeunesse du monde pour cette première sur le continent africain, dans le plus grand esprit de solidarité et surtout d'amitié, d'excellence et de respect. À lire aussiJOJ à J‑100: «Toute une société se mobilise derrière Dakar 2026», selon le CIO

In this episode, Kaylan Knitowski shares her journey into commercial real estate, strategies for site selection, relationship building, and navigating the competitive Miami market. Discover how social media, networking, and authenticity can accelerate your career in real estate. In this episode, Kaylan shares her insights on real estate investing, marketing strategies, and the importance of integrity in the industry. She discusses her projects, team dynamics, and how she leverages social media for business growth.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

Lauren Fievisohn, Ph.D, Senior Threat Researcher from Silent Push, is sharing their work on "Meet DriveSurge: A New Threat Actor Using ClickFix and Fake Update Drive-By Attacks in Thousands of Compromised Sites." Silent Push researchers have identified a newly named threat actor, DriveSurge, which has compromised thousands of legitimate websites and uses ClickFix and fake browser update lures to distribute malware at scale through a pay-per-install operation. The group leverages a traffic distribution system called zTDS to silently redirect visitors from trusted websites to malicious payloads, while employing sophisticated infrastructure, obfuscation, and fingerprinting techniques to evade detection. The report also details how DriveSurge targets both Windows and macOS users and provides defenders with eight infrastructure fingerprints to help identify and disrupt the campaign. The research and executive brief can be found here: Meet DriveSurge: A New Threat Actor Using ClickFix and Fake Update Drive-By Attacks in Thousands of Compromised Sites Learn more about your ad choices. Visit megaphone.fm/adchoices

Your daily news in under three minutes.For more on these stories, please head to https://www.aljazeera.com And connect with us: @AJEPodcasts on Twitter, Instagram, Facebook, and YouTube

Your daily news in under three minutes.For more on these stories, please head to https://www.aljazeera.com And connect with us: @AJEPodcasts on Twitter, Instagram, Facebook, and YouTube

In this episode of The PDB Afternoon Bulletin: • A stunning new investigation claims Israel spent years secretly cultivating former Iranian President Mahmoud Ahmadinejad as an intelligence asset—and even planned to install him as Iran's next leader if the Islamic Republic fell.  • Britain accuses Iran of orchestrating attacks against Jewish targets across Europe through criminal proxies. Now, London is moving to ban Tehran's Islamic Revolutionary Guard Corps. To listen to the show ad-free, become a premium member of The President's Daily Brief by visiting https://PDBPremium.com. Please remember to subscribe if you enjoyed this episode of The President's Daily Brief.  YouTube: youtube.com/@presidentsdailybrief Trust & Will: Estate planning doesn't have to be complicated—create your will or trust online in minutes with Trust & Will and get 20% off at https://trustandwill.com/PDB Ultra Pouches: Don't sleep on @ultrapouches. New customers get 15% Off with code PDB at https://takeultra.com ! #UltraPouches #ad Brunt Workwear: Get $10 Off at BRUNT with code PDB at https://www.bruntworkwear.com/PDB#Bruntpod Learn more about your ad choices. Visit megaphone.fm/adchoices

Dr. Randall Bell and RFM head east for a crazy two days of jamming as many church history sites in as we possibly can handle! We took photos and video to document our misadventures and share it all here with you! Well, almost all. Part is still a secret of Dr. Bell’s that he will… Read More »RFM Does Church History Sites: RFM: 465

Dr. Randall Bell and RFM head east for a crazy two days of jamming as many church history sites in as we possibly can handle! We took photos and video to document our misadventures and share it all here with you! Well, almost all. Part is still a secret of Dr. Bell’s that he will… Read More »RFM Does Church History Sites: RFM: 465 The post RFM Does Church History Sites: RFM: 465 appeared first on Mormon Discussions Podcasts - Full Lineup.

Fitzhugh Brundage, author of A Fate Worse Than Hell, reflects on how the remains of prisoners became symbols of uneasy national memory, with many sites like Camp Douglas in Chicago resulting in unmarked mass graves. At Andersonville, nearly 14,000 Union soldiers perished, a death toll exceeding the Union losses at Gettysburg. Thanks to a secret list kept by a prisoner, Clara Barton and others were able to identify 13,000 of the dead. Today, the site is a national cemetery marked by rows of numbered stones, serving as a poignant pilgrimage site. (8)1865 UNION ENTERS RICHMOND

Henry Sokolski examines the stalemate over Iran's nuclear program following a previous B2 raid. Sokolski notes Iranrefuses IAEA inspections at damaged uranium enrichment sites. He warns of massive plutonium risks at the Bushehrplant and calls for public hearings on regional nuclear restraint. 131953