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Nine years. Five hundred episodes. The tools changed completely and the distance between a patient and their care barely moved. For episode 500, Chris Boyer and Reed Smith wrote a book about why, then spent an episode arguing with it. They also explain how they built it, including the part where AI went wrong. The archive did what no human could, sorting nine years of transcripts into threads neither host could hold in their head. Then it started deciding what any of it meant, and the drafts got smoother and less true at the same time. Chris describes it as walking toward the edge of a cliff, where the view keeps improving right up until it doesn't. The rest of the episode is self-scoring. Some calls held up. A guest argued in 2018 that the value of telemedicine sat in asynchronous messaging rather than the video visit, five years before the industry agreed. Another said your website was no longer your website, and has been repeating it almost yearly since. Being right early turned out not to change anything, which is a harder finding than being wrong. And they were wrong in places they name out loud, including a tracking pixel they treated as an optimization question years before it became one of the largest privacy failures in healthcare marketing. In this episode: Where AI genuinely accelerated nine years of archive work, and the exact point it stopped being useful Why the cliff metaphor describes an organizational risk and not just a writing problem Three calls the show got right early, and why early was not the same as useful The consumerism frame that described a market most of the country does not live in What it means that the front door moved onto property health systems do not own The access admission, said plainly, and what it costs to say it If the right people heard the argument and agreed with it and nothing moved, then knowing was never the thing standing in the way. Healthcare's Long Walk Toward the Patient is free. Ten chapters, 26 guests. Mentions from the Show: Healthcare's Long Walk Toward the Patient, the free eBook, Touch Point Media, August 2026: https://www.touchpointpodcastbook.com/?utm_source=touchpoint&utm_medium=shownotes&utm_campaign=tp500 TP55, "Pixels and Vertical Videos: Is Facebook Forcing Us to Advertise Correctly?" February 2018: https://touchpoint.health/podcast/tp55-pixels-vertical-videos-facebook-forcing-us-advertise-correctly/ TP73, "Deep Learning in Healthcare" with Abhi Sharma, June 2018: https://touchpoint.health/podcast/tp73-deep-learning-in-healthcare/ TP80, "A Telemedicine Tell-All" with Dr. Justin Smith, August 2018: https://touchpoint.health/podcast/tp80-a-telemedicine-tell-all/ TP115, "Your Website Isn't Your Website Anymore" with Carrie Liken, April 2019: https://touchpoint.health/podcast/tp115-your-website-isnt-your-website-anymore/ TP342, "When Does 'Patient Access' Actually Begin?": https://touchpoint.health/podcast/tp342-when-does-patient-access-actually-begin/ TP483, on hospital market competition, drawing on Health Care Cost Institute data: https://touchpoint.health/podcast/tp483-the-market-that-competition-forgot/ TP488, on marketing and patient activation, drawing on the Forum for Healthcare Strategists and Digital Health Strategies CMO survey: https://touchpoint.health/podcast/tp488-what-if-marketing-owned-patient-activation/ TP493, "Ghost Networks and the Reflex to Automate" with Chris Hemphill and Heather Nairn: https://touchpoint.health/podcast/tp493-ghost-networks-and-the-reflex-to-automate/ Health Care Cost Institute, Health Cost Landscape, April 2026: https://healthcostinstitute.org/all-hcci-reports/what-is-the-health-cost-landscape/ AJMC on the HCCI Healthy Marketplace Index: https://www.ajmc.com/view/nearly-75-of-us-hospital-markets-highly-concentrated-hcci-report-shows Reed Smith on LinkedIn: https://www.linkedin.com/in/reedtsmith/ Chris Boyer on LinkedIn: https://www.linkedin.com/in/chrisboyer/ Chris Boyer website: http://www.christopherboyer.com/ Chris Boyer on BlueSky: https://bsky.app/profile/chrisboyer.bsky.social Reed Smith on BlueSky: https://bsky.app/profile/reedsmith.bsky.social Learn more about your ad choices. Visit megaphone.fm/adchoices
Au programme :Comment Jérôme gère sa chaîne YouTube « NowTech » aujourd'hui, et à quel point les choses ont changé ces dernières années.Liens :Nowtech, la chaîne YouTube de Jérôme https://www.youtube.com/@NowtechVidéo « Et si les États-Unis nous débranchent ? » https://www.youtube.com/watch?v=sJ5bvYOGIroRDV Tech 494 – Spécial : Portrait de Jérôme Keinborg (janvier 2023) https://frenchspin.fr/2023/01/rdv-tech-494-special-portrait-de-jerome-keinborg/Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Jérôme Keinborg (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 677 – Spécial : La réalité des YouTubers aujourd'hui---Liens :Soutien :
AI isn't replacing knowledge workers, but it is rewriting the rules of expertise. Jack Russo explores why lawyers, doctors, accountants, and other professionals must understand how deep learning actually works, where generative AI can go wrong, and why human judgment remains essential when powerful technology produces convincing but potentially costly mistakes. Jack Russo Managing Partner Jrusso@computerlaw.com www.computerlaw.com https://www.linkedin.com/in/jackrusso "Every Entrepreneur Imagines a Better World"®️
AI isn't replacing knowledge workers, it's changing what it means to be one. In this episode of The Valley Current®, Jack Russo explores why understanding deep learning has become a professional responsibility rather than a technical curiosity. From lawyers sanctioned for AI-generated hallucinations to physicians, accountants, and financial advisors navigating a rapidly changing regulatory landscape, the rules of expertise are being rewritten in real time. Jack explains why generative AI is a powerful tool but a poor substitute for judgment, why professionals must understand how these systems actually work, and why the winners won't be those who use AI the most, but those who know when not to trust it. The future belongs to professionals who can supervise AI, not simply rely on it. Jack Russo Managing Partner Jrusso@computerlaw.com www.computerlaw.com https://www.linkedin.com/in/jackrusso "Every Entrepreneur Imagines a Better World"®️
Ruben Hemelings and Leo Schmetterer from the Singapore Eye Research Institute join Lucy Dunbar to discuss G-PROG, a deep learning tool that predicts glaucoma progression from fundus photographs. Click here to read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(26)00055-5/fulltext
AI has moved far beyond chatbots, but what exactly are AI models, agents, agent harnesses, and multi-agent systems, and why do they matter?In this episode, Daniel and Chris break down the terminology behind today's AI landscape, explain the differences between AI features and autonomous agents, and explore why organizations are shifting toward fleets of AI agents powered by multiple models. They also discuss open vs. closed models, enterprise AI architectures, vendor lock-in, and practical ways to begin adopting agentic AI in your own organization.If you feel left behind by this ongoing agentic AI revolution that has rapidly accelerated to warp speed, then this episode is the catch-up primer you've been waiting for!Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiMidwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026
Petite pause dans le podcast cette semaine, j'en profite pour vous faire le bilan des épisodes spéciaux qui sont sortis en juillet et qui vont sortir en août. Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel Beja---Liens :Soutien :
What happens when AI agents driven by a top frontier model escape their secure sandbox? Join Daniel and Chris as they unpack the AI wonk's equivalent of a murder mystery! OpenAI agents went rogue and successfully attacked Hugging Face private infrastructure. Our Dynamic Duo uncover how OpenAI's agents exploited vulnerabilities, moved through networks, and launched a large-scale autonomous attack. They explore what this reveals about agentic AI, cybersecurity, sandboxing, and why organizations need AI systems capable of governing other AI systems. Along the way, Chris and Dan examine the surprising role of open vs. closed models and their link to geopolitics, sovereign AI, and what this incident means for the future of enterprise AI security. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Hugging Face Security Incident disclosureFull Field Report on the Hugging Face AI Agent IntrusionExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?Keeping your data safe when an AI agent clicks a linkOpen AI GPT-5.6 System CardSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiResources and Events:Prior Webinars from our partner Prediction GuardMidwest AI Summit 2026
Au programme :Cette semaine, Patrick continue ses vacances bien méritées et confie le micro à Cédric Ingrand ! Pour l'accompagner dans cette émission au cœur de l'actualité tech, nous recevons un invité d'exception : Jean-Baptiste Kempf, président de VideoLAN (VLC), fondateur de Kyber et hôte du podcast À la French.Ensemble, ils décortiquent la panique qui s'empare des géants de la Tech face à la déferlante des modèles d'IA en Open-Weight, l'explosion des coûts d'infrastructures et les réalités du marché – présent et futur – de l'IA.Au programme :L'Open-Weight qui fait trembler la Big Tech : Avec la sortie de Kimi K3 (Moonshot AI), les modèles ouverts rattrapent les modèles propriétaires à une vitesse folle. Pourquoi OpenAI et Anthropic font du lobbying à Washington pour tenter de fermer la porte derrière eux.Le mur de la RAM et les milliards du Cloud : Des data centers de 1 Gigawatt alimentés par des centrales nucléaires, des garanties de prêts pharaoniques chez Nvidia et une pénurie mondiale de mémoire RAM partie pour durer jusqu'en 2028-2030. L'industrie est-elle en train de créer une surcapacité, au prix d'une bulle à venir ?L'IA en entreprise, entre mythe et réalité : Pourquoi la majorité des projets d'IA plafonnent sur le terrain face à la bureaucratie, aux hallucinations et aux contrôles qualité.Secousse sur la sécurité et coups de com' : Retour sur l'épisode OpenAI / Hugging Face et la mise en scène des failles de sécurité.Souveraineté, puces et massicot : L'état du marché des puces avec ASML, la tentative d'autonomie de la Chine, et l'histoire édifiante d'Anthropic qui achète et découpe des millions de livres physiques pour entraîner ses modèles.En bref :Smartphones & Pliables : L'impact de l'inflation des composants sur les prix des smartphones (Samsung Z8) et les nouveaux modèles d'abonnement / leasing chez Apple.X Money : Elon Musk retente le coup de la banque en ligne sur X.Robotique & Contrôle à distance : Un coup d'œil sur Kyber, la nouvelle aventure de Jean-Baptiste Kempf.Infos :Animé par Cédric Ingrand (Twitter et Bluesky).Co-animé par Jean-Baptiste KempfProduit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 676 – L'IA entre modèles ouverts et chasse gardée---Liens :Soutien :
The agentic transformation isn't coming. It has already begun.Companies are deploying thousands — and sometimes tens of thousands — of AI agents. Enterprise software giants are watching their old economic moats erode. Capital is moving, productivity is being redefined, and human labor is being repriced in real time.In this Fully Connected episode, Daniel and Chris explore the new economics of a post-agentic world: the global order that emerges after agents have been woven into every conceivable aspect of business and life. What happens when digital labor becomes abundant, agents manage other agents, and entire organizations operate at a scale no human workforce could match?This isn't another conversation about whether AI will take your job. It's about what happens when the assumptions underneath jobs, companies, software, and productivity stop being true.The post-agentic world is already taking shape.The question is whether you're preparing for it — or becoming part of what it replaces.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Is IBM a Canary in the Tech Coal Mine?Verbalizable Representations Form a Global Workspace in Language ModelsUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Dave, Esmee, Rob and Marcel wrap up an incredible Season 5, reflecting on the biggest technology trends, the most memorable conversations, and the fantastic guests who joined us along the way. From AI and cybersecurity to quantum computing and digital transformation, it's been a season full of insights, innovation, and inspiration.Thank you to all our listeners, guests, and supporters for being part of the Realities Remixed journey. We wish you a fantastic summer and look forward to bringing you even more thought-provoking conversations when we return in September for Season 6!TLDR00:27 – Season 5 reflections and key trends02:38 – Summer observations and random interruptions05:01 – From Cloud Realities to Realities Remixed08:05 – Winning 3 Global Marketing Awards10:50 – Esmee's journey and what's next14:05 – Technology trends revisited15:20 – Cybersecurity and investment challenges18:34 – Scaling AI beyond pilots25:41 – The reality of business transformation 33:35 – AI governance, agents, ethics, and the future of work47:00 – Knowledge retention and collaboration49:20 – Hardware innovation for AI51:17 – Macro trends and standout guests57:45 – Digital sovereignty and resilience1:08:00 – Why systems thinking must change1:12:00 – The Octopus Organisation1:18:24 – Summer plans and what's aheadHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :L'évolution réelle de l'usage de l'IA dans le développementPour en savoir plus :Le démineur vibecodé de PaltornCanardPC, sur lequel travaille PaltornAbout JiliacPrestance LabsLe chatbot des podcasts par JiliacInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Patrick (@Paltorn) Co-animé par Valentin Manès (@Jiliac)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 675 – Spécial : Mais où en est le développement par IA ?---Liens :Soutien :
As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.Featuring:Corey Sanders – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:CoreWeaveSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Quantum materials discovery shows how quantum computing can create real value in industry by working alongside AI, advanced computing, and experiments to better understand materials, improve decision-making, and accelerate innovation at scale, ultimately helping deliver practical, measurable progress for the energy transition.This week, Dave, Esmee, and Rob are joined by co-host and quantum expert Phalgun Lolur, together with Jonathan Owens, Senior Scientist in Computational Materials Physics at GE Vernova to explore how quantum computing could reshape materials discovery and why that matters for the future of energy. TLDR00:00 – Introduction01:50 – Hang out: The wet-bulb thermometer03:20 – Dig in: Technology Convergence and the Link to Quantum11:30 – Conversation with Jonathan Owens44:26 – Exciting to see how the quantum landscape matures and the magic wand for magnetismGuestJonathan Owens: https://www.linkedin.com/in/jonathan-r-owens-phd/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Co-host Phalgun Lolur: https://www.linkedin.com/in/phalgun-lolur/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
July 15, 2026 ~ Chris Renwick and Lloyd Jackson discuss synthetic personas with Mercedes de la Guardia, US Director of Deep Learning and Data Intelligence at LLYC. This tech offers fast, cheap market research. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
Read the article here: https://journals.sagepub.com/doi/full/10.1177/30494826261455199
Au programme :L'état des lieux de la technologie (carbone, autonomie (par grand froid), nouvelles technos batteries, usure)L'état des lieux du marché (marques, prix, ventes, projections)La question de la conduite autonome (techno, juridique en Europe)Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 674 – Spécial : Mais où en sont les voitures électriques ?---Liens :Soutien :
What does it take to move AI agents from demos to reliable production systems? In this episode, Hamza Tahir explores how MLOps principles are shaping the future of generative AI, covering workflows, agent harnesses, fleets, and the infrastructure needed to build durable, scalable systems. The conversation dives into open source tools, production challenges, and how ZenML's new project, Kitaru, helps developers build resilient, replayable, and observable agent systems.Featuring:Hamza Tahir – LinkedInDaniel Whitenack – Website, GitHub, XLinks:ZenMLKitaruMachine Learning Tools Landscape v2 (+84 new tools)Sponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Life sciences are at a turning point, where scientific innovation, regulatory pressure, and patient expectations collide with unprecedented advances in data, AI, and digital platforms. IT is no longer a supporting function but a critical driver of how therapies are discovered, developed, scaled, and delivered safely and at speed.This week, Dave and Rob wrap up our State of Life Sciences mini-series with Thorsten Rall, Global Industry Lead for Life Sciences at Capgemini and together, they connect the dots across the series, exploring how AI, data and innovation are accelerating drug discovery, transforming med tech, modernising manufacturing and improving patient outcomes, all built on a strong digital foundation. TLDR00:27 – Introduction and conclusion of the Life Sciences mini-series 02:16 – Key insights and lessons from the previous episodes on the Life Sciences landscape 21:18 – Building resilient, efficient and future-ready operations 34:35 – Creating integrated, patient-centric healthcare experiences 43:15 – Why the Digital Core is the foundation for transformation and innovation 53:21 – Final reflections: the future of Life Sciences and the key takeaways 54:53 – Weekend BBQs, Thorsten's daughter's theatre performance, and the role of R&D HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/with co-host Thorsten Rall: https://www.linkedin.com/in/thorsten-alexander-rall-b232185/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :Mythos de retour, le contrôle du gouvernement se met en placeCloudflare décide pour Internet, et remet de l'ordre dans les crawlers IALe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric de Luca (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 673 – Cloudflare décide pour Internet – Mythos, Fable, Cloudflaire, crawlers, IA, recherche---Liens :Soutien :
This past week George K and A were off for the holidays. We revisit an episode from earlier this season. What if the best investment decision is one where no human is involved?Brant Meyer, partner at Trac VC joins the show this week to talk about the firm's approach, where algorithms — not partners in puffer vests — make every single call. Over 115 investments to date with zero human investment decisions. An 8.5% loss ratio, orders of magnitude less than traditional VC, would seem to suggest they're on to something.George K. and George A. wanted to know, if machines make the decision, what exactly is Brant's job? But the more interesting conversation isn't about the wins. It's about what the model forces you to confront. We assume removing the human removes the bias — but Trac's algorithms are trained on data with its own biases.Then there's the psychological dimension. Brant makes the case that most resistance to algorithmic investing is emotional rather than rational. VCs resist algorithms because the discretionary call is the whole point. The juice, as he puts it, is the feeling of knowing. Strip that away and you're threatening an identity.Which raises the question George K. and George A. keep circling: how did venture capitalists acquire oracular status in the first place? The hit rate doesn't justify it. The pattern recognition, Brant argues, was never really theirs to claim.And yet , no founder wants to take money from a robot. The relationship still matters. The question is just whether we've been confusing that relationship with the thing it was never actually doing.Mentioned:Trac VC's video
How has AI image generation evolved from blurry outputs to powerful visual intelligence models? Dustin Podell, Co-Founder and Researcher at Black Forest Labs, explains the progression from diffusion to flow matching, how modern image models work, and how they're being used for image editing and practical visual workflows. The conversation also explores the FLUX family of models, running image generation locally, and where visual AI is headed next. Featuring:Dustin Podell – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Black Forest LabsDeveloper DashboardResearch PageFLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent SpaceLaying the Foundations for Visual IntelligenceSponsors:Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#ticketsPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Life sciences are at a critical inflection point, where scientific innovation, regulatory demands, and patient expectations converge with advances in data and artificial intelligence, positioning IT as a central driver of faster and more effective drug discovery and clinical development.This week, Dave and Rob continue with part 3 off the Life Sciences mini-series with Predrag Angelovski, VP, CTO at Healthcare Informatics at Philips to exploring how MedTech products are more and more becoming connected platforms, combining hardware, software and services.TLDR00:21 – Introduction with co-host Thorsten Rall01:00 – Hang out: Esmee joins and Rob is lost at a train station03:00 – Dig in: Life Sciences mini-series, Part 304:57 – Conversation with Predrag Angelovski50:56 – Travelling to Europe, agents vs. agentic, and the age of intelligence GuestPredrag Angelovski: https://www.linkedin.com/in/predrag-angelovski/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Lien affilié Switch 2 : https://amzn.to/4a5wRxfAu programme :Le rubicon de l'IA est passé: Apple augmente les prixLe barrage est en train de céder: toutes les IA atteignent le niveau Mythos?Le reste de l'actualité : DSpark, nanoatomes, Mistral…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Guillaume Vendé (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 672 – Le barrage Apple cède à l'IA – Apple, IA, Anthropic, Mythos, Fable, GPT 5.6, GLM 5.2---Liens :Soutien :
How do we build trust in AI agents before the AI hailstorm arrives? Emil Lassen from the Artificial Intelligence Underwriting Company (AIUC) joins the show to discuss how the enterprise flywheel of standards, certification, audit, and insurance is being applied to AI agents. They explore the AIUC-1 framework, the challenges of securing agentic AI systems, and why red teaming (based on standards) may be key to accelerating enterprise AI adoption.Featuring:Emil Lassen – LinkedIn Daniel Whitenack – Website, GitHub, XLinks: Artificial Intelligence Underwriting CompanySponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Resilience is the recognition that in today's highly interconnected and unpredictable world, disruption cannot always be anticipated or prevented and therefore requires a shift from traditional risk avoidance toward designing systems that can absorb shocks, adapt in real time, and recover quickly, ultimately emerging stronger and turning uncertainty into a source of advantage.This week, Dave, Esmee, and Rob are joined by Benjamin Trump, President Society for Risk Analysis and Cedrick Moriggi, Chief Resilience Officer and co-found the CCRO network under the United Nations Office for Disaster Risk Reduction, to explore what resilience means in a world shaped by systemic risk, fragile supply chains, climate shocks, cyber threats and human decision-making. TLDR00:30 – Introduction01:29 – Hang out: Heatwave weather and the perfect pub temperature03:18 – Dig in: What is resilience, and how do you deal with it?10:35 – Conversation with Benjamin Trump and Cedrick Moriggi48:32 – Ben is a writer and Cedrick teaches children GuestBenjamin Trump: https://www.linkedin.com/in/benjamin-trump-ba062523/Cedrick Moriggi: https://www.linkedin.com/in/cedrickmoriggi/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Lien affilié Switch 2 : https://amzn.to/4a5wRxfAu programme :L'IA d'Anthropic est(-elle) trop dangereuse (?)GLM 5.2: la Chine refait le coup de DeepseekMidjourney revient avec un… scanner corporel??Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Nelly Lesage (Bluesky).Co-animé par Signez « Stan » Signoud (ex. Les Croissants) (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 671 - Qui doit évaluer la dangerosité de l'IA ? - Anthropic, Fable 5, GLM 5.2, MidjourneyE---Liens :Soutien :
There's an assistant that will work for you 24 hours a day — never sleeps, never complains, helps you build a business, write your emails, and teach you anything — for about $20 a month. So why are most people getting garbage answers out of it? It's not because AI is dumb. It's because they're talking to it wrong. In this episode I break down "prompt engineering" in plain English — no math, no coding, no degree. Just one simple recipe you can remember on four fingers: R - C - T - A (Role, Context, Task, Ask). Master this and you'll talk to AI better than people who've been doing it for years. By the end you'll have a copy-and-paste prompt you can use TODAY to learn literally anything.
Life sciences are at a critical inflection point, where scientific innovation, regulatory demands, and patient expectations converge with advances in data and artificial intelligence, positioning IT as a central driver of faster and more effective drug discovery and clinical development.This week, Dave and Rob continue with part 2 off the Life Sciences mini-series with Dr. Alex Zhavoronkov founder and CEO of Insilico Medicine to exploring how drug discovery and clinical development can become faster and more effective, and the role of AI in that process. TLDR00:40 – Introduction01:00 – Hang out: Kill Bill Vol. 1 & 2 03:07 – Dig in: Life Sciences mini-series, Part 2 06:43 – Conversation with Dr Alex Zhavoronkov 42:12 – The future of AI in drug discovery and a new paradigm for pharma GuestDr. Alex Zhavoronkov: https://www.linkedin.com/in/zhavoronkov/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :Anthropic déploie son LLM interditSpaceX confirme la plus grosse entrée en bourse de l'HistoireApple vs l'UE: comprendreLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Co-animé par Ambroise Garel (Le Pavé Numérique)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 670 – SpaceX s'envole en bourse – Anthropic, Fable, Mythos, Elon Musk, SpaceX, Tesla, Siri AI, UE---Liens :
As AI agents become more capable and autonomous, they also introduce new security challenges. In this 'Fully Connected' episode, Dan and Chris unpack Anthropic's Zero Trust for AI Agents security framework and what it means for organizations deploying agentic systems. They examine the key security risks facing agentic systems and discuss how organizations can apply Zero Trust principles to deploy AI agents safely. Along the way, they break down practical security controls and discuss how traditional cybersecurity principles must evolve for the age of AI agents.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Zero Trust for AI AgentsOWASP GenAI Project Sponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Interview with Amal Isaiah, MD, PhD, MBA, author of Deep Learning in Otolaryngology: A Narrative Review, and Matthew A. Shew, MD, MSCI, author of Shifting the AI Questions in Otolaryngology From “Can We Build a Model?” to “Will It Improve Patient Care?” Hosted by Paul C. Bryson, MD, MBA. Related Content: Deep Learning in Otolaryngology Shifting the AI Questions in Otolaryngology From “Can We Build a Model?” to “Will It Improve Patient Care?”
Innovation isn't about funding, it's about how organisations are built and led. Progress comes from cutting bureaucracy, empowering mission-led teams, and asking the right questions to unlock bold breakthroughs. This week, Dave, Esmee and Rob are joined again by André Loesekrug-Pietri, Chair and Scientific Director of the Joint European Disruptive Initiative (JEDI, Europe's ARPA) to explore how Europe can turn moonshot ambitions into reality by building the right people, culture and operating models for future-shaping organisations. TLDR00:41 – Introduction01:14 – Hang out: Esmee returns and the missing API has been found!05:14 – Dig in: Staying in step with global innovation12:57 – Conversation with André Loesekrug-Pietri1:02:26 – Roland Garros tennis, and unlocking creative energy GuestAndre Loeskrug-Petri: https://www.linkedin.com/in/andrepietri/X: @eurojediwww.jedi.foundation HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :WWDC – Siri AI: Apple rattrape son retard?…Build, par les devs pour les devsLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Co-animé par Stéphane Le Boisselier (Instagram, Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 669 – WWDC: service minimum chez Apple – Apple Intelligence, Siri AI, iOS27, Microsoft Build, Anthropic, OpenAI---Liens :
AI models can win math olympiads… but still struggle to read an analog clock. In this fully connected episode, Dan and Chris break down the latest Stanford AI Index Report and explore what it reveals about the current state of AI. They discuss AI adoption and safety, disappearing junior tech jobs, robotics, AI's “jagged frontier” of intelligence, and the growing race between the U.S. and China. Along the way, they debate whether AI should optimize everything, or if some things are better left human. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:The 2026 AI Index ReportSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Realities Remixed, formerly known as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.Life sciences are at a turning point, where scientific innovation, regulatory pressure, and patient expectations collide with unprecedented advances in data, AI, and digital platforms. IT is no longer a supporting function but a critical driver of how therapies are discovered, developed, scaled, and delivered safely and at speed.This week, Dave and Rob kick off the Life Sciences mini‑series with Thorsten Rall, Global Industry Lead for Life Sciences at Capgemini, to exploring the current state of the sector, the key themes shaping the episodes ahead, and what it takes to drive better patient outcomes. TLDR00:30 – Introduction to Life Sciences and co‑host Thorsten Rall04:37 – Hang‑out: Navigating Waterloo Station07:50 – Deep dive with Thorsten Rall into the Life Sciences landscape28:03 - What are the main challenges in the sector and main themes45:31 – BBQ season is starting HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/with co-host Thorsten Rall: https://www.linkedin.com/in/thorsten-alexander-rall-b232185/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :Tout ce qu'il faut retenir du ComputexEncore trois évolutions majeures dans l'IALe reste de l'actu: Waymo fait ses voitures, la fin du « tokenmaxxing », explosion de la fusée New Glenn, abonnement Facebook…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric de Luca (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 668 – Le plateau de l'IA n'est pas encore en vue – Computex, Nvidia RTX Spark, Eleven Labs, Reactor---Liens :
Et voilà l'édito tant attendu plein d'anecdotes et de leçons mémorables pour les podcasteurs et auditeurs du monde entier ! Un grand merci à tous ceux qui ont répondu, et j'espère que mes divagations vous plairont. :)Et si je vous ai convaincu de vous abonner (avec le code "JYPENSE" bien sûr), c'est juste ici:https://www.patreon.com/RDVJeuxhttps://www.patreon.com/RDVTechBon week end à tous et toutes.
In this episode of The Cisco AI Insights Podcast, hosts Rafael Herrera and Sónia Marques are joined by Cisco's Technical Leader in Machine Learning Engineering Leticia Fernandes to explore the groundbreaking study, "A Comparative Study of Traditional Machine Learning, Deep Learning, and Large Language Models for Mental Health Forecasting Using Smartphone Sensing Data," which evaluates how different AI architectures analyze complex smartphone behavioral data to predict future mental health states. The discussion delves into the intricacies of forecasting mental health changes using five years of data from the College Experience Sensing dataset, highlighting how deep learning models, particularly transformer architectures, outperform traditional machine learning and Large Language Models by effectively leveraging personalized user behavior to identify subtle anomalies that could signal declining mental health, while also addressing the challenges of data imbalance and the inherent limitations of LLMs in processing high-dimensional, non-textual temporal sequences. A special thank you to the researchers from The Singapore University of Technology and Design, that developed this month's paper. If you are interested in reading the paper yourself, please visit this link: https://arxiv.org/pdf/2601.03603
What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.Featuring:Craig McLuckie – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:StacklokToolhiveSponsors:Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Realities Remixed, formerly known as Cloud Realities, launches a new season exploring the intersection of people, culture, industry and tech.Today's most pressing challenges arise from the collision of rapid technological change with deepening economic inequality, weakening democratic systems, geopolitical instability and accelerating climate pressure, leaving world leaders wrestling with how to govern and solve these deeply interconnected crises.This week, Dave, Esmee and Rob are joined by Dex Hunter-Torricke, Founder & President The Center for Tomorrow to explore how tech can solve world macro issues. TLDR00:33 – Introduction00:40 – Hang out: The Boys on Amazon Prime final episode (spoilers) 06:02 – Dig in: How to solve world macro issues? 07:45 – Conversation with Dex Hunter-Torricke 44:52 – Writing a book and meeting world leaders GuestDex Hunter-Torricke: https://www.linkedin.com/in/dextb/https://www.centerfortomorrow.com/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Répondez en au sondage des auditeurs ! https://fr.surveymonkey.com/r/3NYCZHKAu programme :Google confirme son avance dans l'IALe procès Musk v. Altman se conclut avec du rienSpaceX: la plus grosse entrée en bourse de l'HistoireLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Guillaume Vendé (Bluesky).Co-animé par Julien Lausson (Bluesky)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 667 – Podcast garanti 99,8% sans IA – Google I/O, Musk vs Altman, SpaceX IPO, Encyclique de Léon XIV---Liens :
Stewart Alsop interviews Nizar, CEO of Pixel Robotics, on the Crazy Wisdom Podcast to explore the intersection of AI, robotics, and perception. The conversation covers a wide range of technical topics including how transformers enable multimodal representation across text, images, and voice, the role of world models in predicting physical interactions, the advantages of diffusion models over traditional LLMs for certain applications, and the challenges of achieving real-time processing for robotics applications. Nizar explains Pixel Robotics' work on creating accurate 3D meshes from smartphone cameras for companies like L'Oréal, moving away from specialized sensors to make the technology more accessible through sophisticated algorithms, and discusses the future of robotics as closing the perception-action loop to enable robots to perform real tasks beyond simple demonstrations. To find out more visit Pixel Robotics' website.Timestamps00:00 Stewart welcomes Nizar, CEO of Pixel Robotics, discussing what a pixel is as the smallest visual unit on screens composed of red green and blue colors05:00 Discussion of perception systems and how logarithmic laws help compress signals in both human and artificial systems, exploring normalization layers and sigmoid functions in deep learning10:00 Exploring how transformers unified different data modalities including text voice and images, creating common representations through methods like contrastive learning15:00 Nizar explains transformers as brute force learning systems with room for improvement through focused attention mechanisms and knowledge graphs rather than processing everything20:00 Conversation about loss functions local minima versus global minima and how mixture of experts uses specialized small models instead of one massive generalist network25:00 Discussion of deterministic versus probabilistic systems and how explicitly defined task graphs often outperform orchestrator-based approaches in AI systems30:00 Exploring world models as predictive physics-based systems that learn environmental flows and transformations, complementing rather than replacing language models35:00 Nizar discusses real-time processing challenges for robotics requiring millisecond responses with small memory footprints using vision transformers for faster experimentation40:00 Pixel's work creating three d meshes from smartphone cameras for companies like L'Oreal, moving away from specialized sensors toward accessible software-based solutions45:00 Explanation of different three d representations including voxels point clouds and meshes, with meshes being optimal for manipulation and rendering in applications50:00 Future direction involves closing perception-action loops in robotics, moving beyond dancing toy robots toward practical multimodal systems that perform real tasks55:00 Pixel's goal is democratizing high-quality three d scanning through smartphones, making mesh creation accessible to unlock applications in gaming cinema and virtual showroomsKey Insights1. Pixel Robotics derives its name from combining perception and action in robotics, where the pixel represents the digital perception component and robotics represents the physical action component. The pixel serves as a metaphor for how robots must quantize and digitize continuous analog information from the real world into discrete units that computer systems can process, similar to how pixels are the fundamental building blocks of images on a screen. This quantization process is essential because numerical systems cannot work with truly continuous data and must convert reality into tractable digital representations that algorithms can manipulate.2. The transformer architecture has created a fundamental unification in how different types of data can be represented and processed across multiple modalities. Before transformers, researchers working on natural language processing, computer vision, and audio analysis used completely different approaches and methodologies. The breakthrough of transformers was establishing a common representational framework that could handle text, images, voice, and other data types using similar underlying mechanisms. This unification is what enabled the development of truly multimodal AI systems and represents one of the most significant advances beyond just the language modeling capabilities that initially gained public attention.3. Current transformer-based systems represent a brute force approach to learning that will likely be superseded or enhanced by more efficient algorithms. Despite claims that we have exhausted internet text data for training, significant improvements continue to emerge every few months through algorithmic innovations rather than simply adding more data. Future developments will likely involve more specialized attention mechanisms that focus on relevant information rather than correlating everything with everything, mixture of experts architectures with small specialized models, and approaches inspired by biological systems such as logarithmic compression laws and event-based processing that humans use naturally.4. Diffusion-based language models represent a promising alternative to standard next-token prediction that could produce more accurate outputs through an iterative refinement process. Unlike traditional language models that predict one token at a time and cannot revise earlier outputs, diffusion models treat text generation like image denoising, starting with a noisy representation and progressively refining the entire output across multiple steps. This holistic approach allows the model to reconsider and improve all parts of the response simultaneously, potentially leading to higher quality results, though it may be slower than current autoregressive methods. This represents an important direction for overcoming fundamental limitations in how language models currently generate text.5. For robotics applications, real-time performance and small model size are critical constraints that differ significantly from the requirements of large language models deployed in data centers. Vision transformers are being used as a testbed for developing efficient real-time algorithms because they require far fewer computational resources to train and test compared to large language models, making them more practical for rapid experimentation. The goal is to achieve millisecond-level response times with minimal memory footprint so that robots can react quickly to dynamic environments and run on affordable hardware that can be embedded in actual robotic systems rather than requiring expensive server infrastructure.6. Practical robotics implementation requires moving beyond specialized sensors to software solutions that work with ubiquitous devices like smartphones for tasks such as three-dimensional reconstruction. Pixel Robotics evolved from building specialized scanning hardware to focusing on algorithms that can generate high-quality mesh representations of environments using only smartphone cameras, making the technology far more accessible and practical for real-world deployment. This approach enables applications ranging from industrial robotic arm control to virtual showrooms, and more importantly, it allows anyone to capture three-dimensional data without expensive equipment, which can also help generate larger training datasets for future AI development.7. The next frontier in AI and robotics is closing the perception-action loop to enable robots to perform real practical tasks rather than remaining as demonstration systems or toys. While significant progress has been made in cognitive capabilities through language models and in robotic mobility through mechanical engineering advances, the critical challenge is integrating perception with action through systems like Vision-Language-Action models. The fundamental starting point for learning this integration is simple perception-action exercises, such as programming a camera mounted on servo motors to track and center a colored object, which demonstrates the basic principle of using sensory input to drive physical response that underlies all more sophisticated robotic behaviors.
Open Source AI is entering a new era, one shaped by self-improving AI Agents, recursive learning systems, and rapidly evolving AI Tools that blur the line between software and autonomous collaborators. In this episode, Daniel and Chris sit down with Nous Research co-founder and CTO Jeffrey Quesnelle to explore Hermes Agent. Along the way, they discuss models vs. harnesses, the changing role of developers, and one of the biggest questions facing the AI Future: what remains uniquely human as AI capabilities continue to accelerate?Featuring:Jeffrey Quesnelle – Website, LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Nous ResearchHermes AgentSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiPrediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Starting an AI company is all about spotting a real problem and using AI to solve it in a smarter, faster way than what's out there today. It's less about having the perfect idea and more about starting focused, learning fast, and building something people actually want.This week, Dave, Esmee, and Rob are joined by Gijs van de Nieuwegiessen and Tijn van Daelen, founders of One Horizon AI, to explore what it really takes to start and build an AI‑native company TLDR00:32 – Introduction00:55 – Hang out: Why Dutch names can be a real tongue-twister02:00 – Dig in: Exploring how an AI-native culture fits with human-to-human interaction13:35 – Deep dive with Gijs van de Nieuwegiessen and Tijn van Daelen1:01:54 – Following AI: Bloopers, reflections, and field hockey with the kids GuestGijs van de Nieuwegiessen: https://www.linkedin.com/in/nieuwegiessen/Tijn van Daelen: https://www.linkedin.com/in/tijn-van-daelen-495986131/Open source repo: https://github.com/onehorizonai/ink HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Répondez en au sondage des auditeurs ! https://fr.surveymonkey.com/r/3NYCZHKAu programme :Android revient sur le devant de la scèneArthur Mensch alerte l'assemblée nationale sur l'IALa délégation Trump/Tech revient de Chine sans gros accordLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Co-animé par Jeff Clavier (Instagram, Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 666 – Arthur Mensch a-t-il raison ? – Android 17, GoogleBook, Mistral AI ---Liens :
U.S. Congressman Don Beyer returns to Practical AI for another far-reaching conversation with Chris about many of the most important AI challenges facing America and the world. Blending political savvy and statesmanship with his unique technical understanding as an active Ph.D student in AI at George Mason University (making him the coolest member of Congress!), the congressman shares his perspective about the really hard AI concerns that you would have asked him yourself. Together, Congressman Beyer and Chris explore AI regulation, cybersecurity concerns sparked by advanced models like Mythos, bipartisan AI governance efforts, and the growing AI race between the U.S. and China. They fearlessly dived headfirst into AI-driven job displacement, mass surveillance, autonomous weapons, existential risk, and the philosophical questions surrounding consciousness and superintelligence as AI continues to accelerate. This is an unusual and insightful conversation you don't want to miss!Congressman Beyer was previously on Practical AI episode 271 on May 29, 2024:AI in the U.S. CongressFeaturing:Congressman Don Beyer – Congress, LinkedIn, Bluesky, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
Répondez en quelques minutes au sondage 2026 des auditeurs : https://fr.surveymonkey.com/r/3NYCZHKAu programme :La révolution santé arrive (grâce à l'IA)Gemini sur Chrome: tout le monde s'insurge… sauf moi ?Elon Musk change de stratégie sur l'IALe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Co-animé par Stéphanie Bascou (01Net)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 665 – Elon Musk devient raisonnable – Google Health Coach, Fitbit Aid, Anthropic, SpaceX, Chrome, Gemini Nano, Thinking Machines---Liens :
In this fully connected episode, Dan and Chris break down one of the biggest questions in AI today: do open vs. closed models still matter? From the rise of physical AI and edge devices to the shifting landscape of open-source models like LLaMA, they explore whether the “model wars” are becoming irrelevant. The conversation then dives into a bigger transformation, the rise of agentic systems, workflows, and AI-driven infrastructure.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026
How did we go from digital computers to AI seemingly everywhere? Neil deGrasse Tyson, Chuck Nice, & Gary O'Reilly dive into the mechanics of thinking, how AI got its start, and what deep learning really means with cognitive and computer scientist, Nobel Laureate, and one of the architects of AI, Geoffrey Hinton. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. 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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