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Are we on the brink of advertising becoming too smart for its own good, or is Deep Learning finally getting us closer to what customers actually want? Agility requires us to constantly evaluate how technology like AI reshapes the relationships between brands and consumers—sometimes for better, sometimes for far more complex. The advertising landscape is shifting under our feet, with new rules, new tech, and frankly, a lot of new guesswork.Today we're going to talk about how Deep Learning and AI are impacting advertising effectiveness, personalization, and the future of advertising—with or without cookies. To help me discuss this topic, I'd like to welcome Jaysen Gillespie, VP, Global Head of Analytics and Product Marketing at RTB House. About Jaysen Gillespie Jaysen is a Southern California analytics pro with 15+ years in tech leadership. Currently holding the position of VP, Global Head of Product Marketing and Analytics at RTB House, he turns data into insights that drive relevant decisions. He is an experienced speaker and content creator, simplifying complex ideas and making them easily consumable and applicable. For Jaysen, analytics isn't just interesting—it's essential. Resources RTB House: https://www.rtbhouse.com https://www.rtbhouse.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Boston, August 11-14, 2025. Register now: https://bit.ly/etailboston and use code PARTNER20 for 20% off for retailers and brandsDon't Miss MAICON 2025, October 14-16 in Cleveland - the event bringing together the brights minds and leading voices in AI. Use Code AGILE150 for $150 off registration. Go here to register: https://bit.ly/agile150" Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company
GreenOps is a cultural transformation that empowers developers to turn emissions data into meaningful action, bridging the communication gap with ESG teams and exposing the critical truth that cloud cost and carbon cost are not the same, which fundamentally reshapes how we approach sustainable IT.This week, Dave, Esmee and Rob talk to James Hall, Head of GreenOps at Green Pixie, to unpack the real state of GreenOps today—and why we've only just scratched the surface. TLDR 01:57 Rob is confused about AGI 06:11 Cloud conversation with James Hall 22:10 Esmee as media archeologist, found GreenOps is 50 years old 30:46 Having some drinks in the summer Guest James Hall: https://www.linkedin.com/in/james-f-hall/ Hosts Dave 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/Production Marcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/ Dave Chapman: https://www.linkedin.com/in/chapmandr/ Sound Ben Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/ Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
Au programme :En ce mois de juillet 2025 je vous propose une plongée dans les archives du RDV Tech on va remonter juste de quelques années pour se repencher sur le début de quelque chose qui bouleverse beaucoup de choses ces dernières années, l'arrivée de ChatGPT fin 2022. On en parlait dans le RDV Tech 490 le 6 décembre 2022 avec au micro avec moi Korben et Cedric de Luca, avec le début de la version conversationnelle de ChatGPT pour le grand public, on était impressionnés par la génération de textes. 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 :
In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today's models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slightly terrifying) new study from Anthropic, where agentic AI models were caught simulating blackmail, deception, and even sabotage — all in the name of goal completion and self-preservation. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Agentic Misalignment: How LLMs could be insider threatsHugging Face Agents CourseRegister for upcoming webinars here!
Are the AI models you use today imposters?Please watch the intro video we did before this: https://www.youtube.com/watch?v=o1q6Hhz0MAgIn this episode, hosts Dr. Tim Scarfe and Dr. Duggar are joined by AI researcher Prof. Kenneth Stanley and MIT PhD student Akash Kumar to discuss their fascinating paper, "Questioning Representational Optimism in Deep Learning."Imagine you ask two people to draw a perfect skull. One is a brilliant artist who understands anatomy, the other is a machine that just traces the image. Both drawings look identical, but the artist understands what a skull is—they know where the mouth is, how the jaw works, and that it's symmetrical. The machine just has a tangled mess of lines that happens to form the right picture.An AI with an elegant representation, has the building blocks to generate truly new ideas.The Path Is the Goal: As Kenneth Stanley puts it, "it matters not just where you get, but how you got there". Two students can ace a math test, but the one who truly understands the concepts—instead of just memorizing formulas—is the one who will go on to make new discoveries.The show is a mixture of 3 separate recordings we have done, the original Patreon warmup with Tim/Kenneth, the Tim/Keith "Steakhouse" recorded after the main interview, then the main interview with Kenneth/Akarsh/Keith/Tim. Feel free to skip around. We had to edit this in a rush as we are travelling next week but it's reasonably cleaned up. TOC:00:00:00 Intro: Garbage vs. Amazing Representations00:05:42 How Good Representations Form00:11:14 Challenging the "Bitter Lesson"00:18:04 AI Creativity & Representation Types00:22:13 Steakhouse: Critiques & Alternatives00:28:30 Steakhouse: Key Concepts & Goldilocks Zone00:39:42 Steakhouse: A Sober View on AI Risk00:43:46 Steakhouse: The Paradox of Open-Ended Search00:47:58 Main Interview: Paper Intro & Core Concepts00:56:44 Main Interview: Deception and Evolvability01:36:30 Main Interview: Reinterpreting Evolution01:56:16 Main Interview: Impostor Intelligence02:11:15 Main Interview: Recommendations for AI ResearchREFS:Questioning Representational Optimism in Deep Learning:The Fractured Entangled Representation HypothesisAkarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanleyhttps://arxiv.org/pdf/2505.11581Kenneth O. Stanley, Joel LehmanWhy Greatness Cannot Be Planned: The Myth of the Objectivehttps://amzn.to/44xLaXKOriginal show with Kenneth from 4 years ago:https://www.youtube.com/watch?v=lhYGXYeMq_EKenneth Stanley is SVP Open Endedness at Lila Scienceshttps://x.com/kenneth0stanleyAkarsh Kumar (MIT)https://akarshkumar.com/AND... Kenneth is HIRING (this is an OPPORTUNITY OF A LIFETIME!)Research Engineer: https://job-boards.greenhouse.io/lila/jobs/7890007002Research Scientist: https://job-boards.greenhouse.io/lila/jobs/8012245002TRANSCRIPT:https://app.rescript.info/public/share/W_T7E1OC2Wj49ccqlIOOztg2MJWaaVbovTeyxcFEQdU
Hello à tous et toutes ! Retour à l'audio pour cet édito "public" où je vous détaille le programme de l'été pour tous les podcasts (et je vous parle aussi des raisons de ce break).Passez d'excellentes vacances, et on se retrouve en septembre.
Quantum computing in 2025 is rapidly advancing toward commercialization, with breakthroughs in algorithms, scalable hardware, and cloud-based quantum services driving real-world applications across finance, healthcare, logistics, and cybersecurityThis week, Dave, Esmee, and Rob dive into the cutting edge of quantum computing with Catherine Vollgraff Heidweiller, Quantum AI PM at Google, and James Goeders, Head of Product for Google Quantum AI, exploring how far we've come since our June 2023 Quantumania! episode and what to expect from Willow—the bold fusion of quantum, AI, digital integration, deployment, and the broader tech ecosystem.TLDR00:46 Meet Catherine and James – intros and backgrounds02:22 Rob is confused about students using AI09:40 Deep dive with Catherine and James on the current state and future of Quantum48:01 Quantum isn't just tech—it's a whole new way of thinking1:01:37 Seize the moment and bringing external users onto quantum hardwareGuestCatherine Vollgraff Heidweiller: https://www.linkedin.com/in/cmv-vollgraffheidweiller/James Goeders: https://www.linkedin.com/in/james-goeders-8876a7164/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/'Cloud Realities' is an original podcast from Capgemini
In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications.Featuring:Joey Conway – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Llama Nemotron UltraNVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning AccuracyIndependent analysis of AIParakeet ModelParakeet LeaderboardTry the Llama-3.1-Nemotron-Ultra-253B-v1 model here and here
We explore how the fusion of deep learning and metaheuristics is transforming the Internet of Things, from smart cities to precision agriculture. Learn how optimization algorithms are turnocharging AI models to deliver faster, more accurate decisions across industries.
Au programme :IA vs auteurs: première victoire des LLMFairphone Gen 6, une première réussite?TikTok et Instagram bientôt sur votre télé?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Jérôme Keinborg (Bluesky).Co-animé par Cédric de LucaProduit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 625 – L'important c'est le chemin ET la destination – Victoire légale des LLM, Fairphone Gen 6, TikTok & Insta sur TV---Liens :
Neste episódio do Product Guru's, Paulo Chiodi recebe Jefferson Andrade, um dos maiores especialistas em scraping e agentes de IA do Brasil, para um bate-papo profundo e direto sobre o futuro da extração de dados. Jeff compartilha como a evolução do scraping, de scripts simples para agentes autônomos baseados em IA, está transformando setores como turismo, varejo, automobilístico e farmacêutico. Ele detalha os desafios técnicos, as complexidades dos sites dinâmicos e a crescente importância de decisões baseadas em dados estruturados.Além disso, o episódio apresenta uma demonstração prática de scraping com agentes de IA utilizando ferramentas open source como LangChain e Browserless. Jeff mostra como os agentes planejam ações, interagem com sites, enfrentam barreiras como captchas e utilizam prints e DOM para tomada de decisão. O conteúdo também aborda aspectos éticos e legais do scraping e revela casos reais de aplicação, como o uso dos dados pela BMW para planejamento global de produtos. Um episódio imperdível para quem quer dominar scraping com IA de verdade.// Onde encontrar o convidado: Cristian Pedroso | Lead Software Developer @ rpchttps://www.linkedin.com/in/andradejefferson/// Conteúdos mencionados:Cogni2 - https://cogni2.com/// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência. Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasilhttps://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com/// Nesse episódio abordamos:• Scraping é a extração automatizada de dados estruturados a partir de sites.• Agentes de IA tornaram a extração de dados muito mais dinâmica e adaptável.• Frameworks modernos dificultam o scraping com identificadores dinâmicos.• Setores como turismo, varejo e farmacêutica dependem fortemente de dados extraídos.• A BMW usa scraping para tomar decisões sobre novos modelos de veículos.• Agentes de IA conseguem contornar erros de navegação com raciocínio lógico.• Privacidade e ética são cruciais: scraping deve respeitar dados públicos e regras legais.• Sites usam defesas como captchas e headers para impedir bots automatizados.• Agentes com reasoning permitem auto-recuperação em ambientes instáveis (self-healing).• O futuro do scraping será moldado por IA, prompt engineering e navegação visual./// Capítulos00:00 Introdução01:36 Apresentação de Jefferson Andrade01:44 O que é scraping?02:39 Como o scraping evoluiu com IA05:04 Scraping em escala e desafios técnicos07:29 Casos reais: hotéis e BMW10:32 Setores que dependem de scraping12:37 Demonstração: scraping com agentes de IA16:06 Tecnologias e ferramentas utilizadas19:35 Execução prática: scraping em e-commerce24:07 Prompt engineering e limitações27:43 Navegação autônoma com IA na prática30:15 Privacidade, segurança e bloqueios33:07 Estratégias para contornar barreiras legais35:29 Scraping de dados públicos e limites éticos40:01 Riscos e responsabilidade com agentes de IA42:32 Armazenamento e uso dos dados extraídos45:11 Futuro do scraping com IA46:46 Encerramento/// Onde encontrar a Product Guru's:LinkedIn: https://www.linkedin.com/company/product-guru-s/Instagram: https://www.instagram.com/product.gurus/
Can AI-driven autonomy reduce harm, or does it risk dehumanizing decision-making? In this “AI Hot Takes & Debates” series episode, Daniel and Chris dive deep into the ethical crossroads of AI, autonomy, and military applications. They trade perspectives on ethics, precision, responsibility, and whether machines should ever be trusted with life-or-death decisions. It's a spirited back-and-forth that tackles the big questions behind real-world AI.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:The Concept of "The Human" in the Critique of Autonomous WeaponsOn the Pitfalls of Technophilic Reason: A Commentary on Kevin Jon Heller's “The Concept of ‘the Human' in the Critique of Autonomous Weapons”Sponsors:Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
The telecom industry is undergoing a fundamental transformation. This shift is creating new business opportunities and services but also brings significant challenges in transformation and modernization. In this special bonus episode, building on our Reimagining Telecoms mini-series, we dive into the current opportunities shaping today's dynamic telco landscape.This week, Dave, Esmee and Rob talk to Vivek Badrinath, Director General of the GSMA about the current opportunities shaping today's dynamic telco landscape and the role of GSMA. TLDR01:38 Introduction to Vivek and the bonus episode03:48 In-depth conversation with Vivek Badrinath42:13 Can empathy become a strategic KPI in telecom?47:20 Event in Uzbekistan and doubling down on the digital ecosystem GuestVivek Badrinath: https://www.linkedin.com/in/vivekbadrinath/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/with Praveen Shankar: https://www.linkedin.com/in/praveen-shankar-capgemini/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
ABOUT DHRUV PARTHASARATHYDhruv Parthasarathy has spent the last 8 years focused on applying modern software and machine learning techniques in healthcare. Dhruv currently serves as the CTO of Commure, HATCO, and Augmedix. In the role of CTO, he leads product, engineering, and design teams. Prior to this, Dhruv helped found Athelas which eventually merged with Commure.In these roles, Dhruv has designed and developed end-to-end solutions for revenue cycle automation, ambient documentation, patient engagement, and at-home diagnostics for oncology.Before this, Dhruv was the Director of Machine Learning Programs at Udacity, where he led the development of the AI, Self-Driving Car, Deep Learning, and Machine Learning Nanodegree programs.Dhruv also worked as a Product Engineer at Udacity, where he rebuilt the main signed-in experience and was responsible for the backend development. Dhruv obtained a Bachelor's degree in Computer Science from Massachusetts Institute of Technology in 2013. Following this, they pursued a Master's degree in Computer Science with a concentration in Artificial Intelligence at MIT from 2013 to 2014. This episode is brought to you by Side – delivering award-winning QA, localization, player support, and tech services for the world's leading games and technology brands.For over 30 years, Side has helped create unforgettable user experiences—from indies to AAA blockbusters like Silent Hill 2 and Baldur's Gate 3.Learn more about Side's global solutions at side.inc. SHOW NOTES:How the Commure team moves with speed & momentum (3:26)Commure's operational strategy / key leadership principles (4:57)Hiring & cultivating multi-talented individuals (7:16)How to optimize decision-making, push decisions down & minimize risk (8:40)Why speed is a core principle for building successful eng orgs (11:36)Getting unstuck in your decision-making as an eng team (13:07)Challenges faced while building a high-performing eng team in healthcare (15:47)Tactics for hiring less experienced engineers & bringing them up to speed (18:22)Customization as a product principle and how it manifests in EPD (20:55)Why the polymath style approach to engineering is more vital now than ever (23:47)Lessons learned around scope & using it to create leverage (26:06)Frameworks for assessing areas most likely to create a compound win (28:22)Rapid fire questions (30:35)LINKS AND RESOURCESCinema Speculation - The long-awaited first work of nonfiction from the author of the #1 New York Times bestselling Once Upon a Time in Hollywood: a deliriously entertaining, wickedly intelligent cinema book as unique and creative as anything by Quentin Tarantino.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/
Au programme :Le premier téléphone « américain » coute 1999$Netflix et TF1 signent un accord majeurLe reste de l'actualité : temps des ados sur Tiktok, évolution des shorts, le journal de l'IA…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Guillaume Vendé (Bluesky).Co-animé par Siegfried Thouvenot alias Captain Web (Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 624 – En tech, rien n'est simple – Purism Liberty Phone, Netflix
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die faszinierende Welt der Singularity! Im Gespräch mit Joel Kaczmarek enthüllt Lars Jankowfsky, Gründer von Gradion, die Geheimnisse hinter dem exponentiellen Technologiewachstum. Gemeinsam erkunden sie die Chancen und Herausforderungen, die uns in den kommenden Jahrzehnten erwarten. Von der medizinischen Revolution bis hin zu interplanetaren Reisen – welche Rolle spielt künstliche Intelligenz und wie verändert sie unser Leben? Lass dich inspirieren und erfahre, warum die Zukunft aufregender ist, als du denkst! Du erfährst... …wie Lars Jankowfsky die Chancen und Risiken der Singularity einschätzt …welche Rolle künstliche Intelligenz in der medizinischen Forschung spielt …wie die Entwicklung von Robotik Arbeitsplätze und Gesellschaft verändert …welche Energiefragen bei exponentiellem Technologiewachstum aufkommen …warum die Zukunft von Kapitalismus und Gesellschaft neu gedacht werden muss __________________________ ||||| PERSONEN |||||
Neste episódio do Product Guru's, Paulo Chiodi recebe Cristian Pedroso para uma conversa profunda e necessária sobre precificação e orçamento em produtos digitais, um tema essencial mas ainda negligenciado entre PMs. Cristian, com mais de 30 anos de experiência em produto, mostra por que falar de dinheiro, margem, CAC e estratégias financeiras é fundamental para quem quer ser um PM estratégico e não apenas um "flanelinha de backlog". A discussão aborda desde a ausência do tema na formação tradicional de PMs até a importância de conhecer o impacto financeiro das decisões de roadmap, passando por erros comuns em pricing, como desprezar o financeiro ou copiar estratégias de concorrentes sem contexto. Cristian ainda compartilha casos reais de decisões de pricing e como elas salvaram empresas de prejuízos — inclusive com métricas claras de fracasso. Um conteúdo essencial para qualquer profissional de produto que queira gerar impacto real no negócio./// Onde encontrar o convidado: Cristian Pedroso | CTPO @ Gedankenhttps://www.linkedin.com/in/cristianpedroso/// Recado Importante: O futuro dos produtos digitais já começou e a Inteligência Artificial é parte do time.A PM3 acaba de lançar a Formação em Gestão de Produtos de IA: um curso pensado para Product Managers que querem criar, delegar e inovar com mais inteligência. Muito além dos prompts: você vai aprender a liderar produtos baseados em IA, dominar temas como Machine Learning, Deep Learning e IA Generativa, e aplicar novas formas de discovery, experimentação e validação.Prepare-se para o mercado que mais cresce no mundo e torne-se o PM que lidera a transformação.Acesse o link e saiba mais: https://go.pm3.com.br/ProductGurus-AI-Specialist/// Outros parceiros:Codando sem Codar - A maior comunidade de AI (Vibe) Coding do Brasil https://codandosemcodar.com.br/?utm_campaign=pg_podcastCurling - Do treinamento à criação de soluções com IA, estamos em cada etapa. https://www.usecurling.com/// Nesse episódio abordamos:• Falar de dinheiro ainda é tabu entre PMs, mas é essencial para decisões estratégicas.• A ausência de formação em negócios prejudica a atuação de produto.• PMs que entendem de margem, CAC e orçamento tomam decisões mais assertivas.• Não envolver o financeiro é um dos principais erros no pricing.• Pricing mal feito pode matar um produto ou uma empresa.• Métricas de fracasso são tão importantes quanto as de sucesso.• Decisões de preço devem considerar estratégia de mercado e elasticidade.• Ações emocionais e sem dados em pricing são altamente prejudiciais.• Mesmo sem ser dono do P&L, o PM pode (e deve) influenciar a estratégia de receita.• Pricing não é chute, é análise financeira + conhecimento de mercado./// Onde encontrar a Product Guru's:WhatsApp: https://whatsapp.com/channel/0029Va7uwHS5fM5U0LIatu3XX (antigo Twitter): https://twitter.com/product_gurusLinkedIn: https://www.linkedin.com/company/product-guru-s/Instagram: https://www.instagram.com/product.gurus/
Join us for a powerful conversation with Larry Ward, President of Political Media Incorporated (PMI), as we explore the intersection of politics, marketing, and digital freedom. With decades of experience across the political, corporate, and non-profit worlds, Larry shares how PMI has helped shape the modern political landscape — all while staying ahead of the curve in a rapidly changing media environment. From pioneering digital outreach in the early 2000s to tackling the challenges of online censorship and algorithmic suppression, PMI has consistently led with innovation and conviction. In this episode, we break down the tools, strategies, and principles that continue to drive their mission forward. In this episode, you'll hear about: How digital platforms transformed political engagement. The subtle yet powerful ways censorship creeps into online advertising. How targeted messaging thrives even in suppressed environments. What AI means for the future of political speech and media strategy. If you're curious about the future of free speech, or how real change is driven through media strategy, this episode is a must-watch. Explore Larry's work and case studies at Politicalmedia.com/case-studies
[AAA] In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organizations face—sometimes getting a little messy along the way.This week, we address the ‘big rocks' that can obstruct or delay successful outcomes in organizational transformations. Dave, Esmee, and Rob are joined by Jasmin Booth, Head of Product Delivery to discuss the transformation to being a (digital) product based organization.TLDR05:22 Access All Areas: This third episode focuses on the products we build that drive outcomes.06:52 Conversation with Jasmin about our digital products37:06 What makes it better to be in a product centric organization? 54:00 Conclusion of the seven Big Rocks and how to smash them59:00 Going on the Blue Bell railway 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 Jasmin Booth: https://www.linkedin.com/in/jasminbooth15/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/'Cloud Realities' is an original podcast from Capgemini
digital kompakt | Business & Digitalisierung von Startup bis Corporate
Tauche ein in die Welt des Prompt Engineerings mit Joel Kaczmarek und Ruppert Bodmeier! In dieser Episode von digital kompakt geht es um die Kunst, KI-Modelle so zu steuern, dass sie genau das liefern, was du brauchst. Ruppert, ein Experte für Innovationsentwicklung bei Disrooptive, teilt seine Erfahrungen und Herausforderungen auf dem Weg zur perfekten KI-Nutzung. Erfahre, wie du durch gezieltes Prompt Engineering Wettbewerbsvorteile schaffen kannst und warum der Kontext dabei entscheidend ist. Lass dich inspirieren und entdecke, wie du die Zukunft der KI für dich nutzen kannst! Du erfährst... …wie Ruppert Bodmeier die Kunst des Prompt Engineering meistert und einzigartige Lösungen schafft …warum Beharrlichkeit und Resilienz im Umgang mit KI entscheidend sind …wie du durch präzise Kontextdefinitionen bessere KI-Ergebnisse erzielst …welche Rolle APIs spielen, um Wettbewerbsvorteile mit KI zu sichern …wie du mit modularen Befehlen und Ketten einzigartige Projekte realisierst __________________________ ||||| PERSONEN |||||
Große KI-Modelle wie ChatGPT brauchen riesige Rechenzentren und jede Menge Energie und werden fast ausschließlich von Tech-Giganten entwickelt. Welche Vorteile hätte es, Deep Learning zu demokratisieren? Und wie können kleinere KI-Modelle dazu beitragen, die Abhängigkeit von großen Tech-Konzernen zu reduzieren? Die Folge des CISPA-Podcasts „CISPA TL;DR“ mit Rebekka Burkholz könnt ihr hier anhören – oder überall, wo es Podcasts gibt. Mehr Infos über Rebekka Burkholz und ihr Forschungsprojekt SPARSE-ML findet ihr hier. Und zur SPARSE-ML-Projektseite geht’s hier entlang. >> Artikel zum Nachlesen: https://detektor.fm/wissen/forschungsquartett-deep-learning
Große KI-Modelle wie ChatGPT brauchen riesige Rechenzentren und jede Menge Energie und werden fast ausschließlich von Tech-Giganten entwickelt. Welche Vorteile hätte es, Deep Learning zu demokratisieren? Und wie können kleinere KI-Modelle dazu beitragen, die Abhängigkeit von großen Tech-Konzernen zu reduzieren? Die Folge des CISPA-Podcasts „CISPA TL;DR“ mit Rebekka Burkholz könnt ihr hier anhören – oder überall, wo es Podcasts gibt. Mehr Infos über Rebekka Burkholz und ihr Forschungsprojekt SPARSE-ML findet ihr hier. Und zur SPARSE-ML-Projektseite geht’s hier entlang. >> Artikel zum Nachlesen: https://detektor.fm/wissen/forschungsquartett-deep-learning
Große KI-Modelle wie ChatGPT brauchen riesige Rechenzentren und jede Menge Energie und werden fast ausschließlich von Tech-Giganten entwickelt. Welche Vorteile hätte es, Deep Learning zu demokratisieren? Und wie können kleinere KI-Modelle dazu beitragen, die Abhängigkeit von großen Tech-Konzernen zu reduzieren? Die Folge des CISPA-Podcasts „CISPA TL;DR“ mit Rebekka Burkholz könnt ihr hier anhören – oder überall, wo es Podcasts gibt. Mehr Infos über Rebekka Burkholz und ihr Forschungsprojekt SPARSE-ML findet ihr hier. Und zur SPARSE-ML-Projektseite geht’s hier entlang. >> Artikel zum Nachlesen: https://detektor.fm/wissen/forschungsquartett-deep-learning
It seems like we are bombarded by news about millions of dollars pouring into AI startups, which have crazy valuations. In this episode, Chris and Dan dive deep into the highs, lows, and hard choices behind funding an AI startup. They explore early bootstrapping, the transition to venture capital, and what it's like to trade in code commits for investor decks. Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Builder.ai Collapses: $1.5bn 'AI' Startup Exposed as 'Actually Indians' Pretending to Be BotsSponsors:Miro: Feeling overwhelmed by AI? Miro brings clarity by combining human creativity with intelligent tools to help teams get great work done. Learn more at miro.com.
Au programme :Copyright vs IA: les choses sérieuses commencentWWDC à tête reposée: Liquid Glass et damage controlMistral au centre de VivatechLe reste de l'actuInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 623 – IA vs Copyright: le vrai combat débute---Liens :
Prof. James Evans, a University of Chicago sociologist and data scientist, believes we're training AI to think too much like humans—and it's holding science back.In this episode, Evans shares how our current models risk narrowing scientific exploration rather than expanding it, and explains why he's pushing for AIs that think differently from us—what he calls “cognitive aliens.” Could these “alien minds” help us unlock hidden breakthroughs? And what would it take to build them?
An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World's First Fully AI-Automated Film Company'". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script analysis, financial forecasting, and digital twins are helping creators and studios make smarter decisions. Featuring:Sami Arpa – LinkedInDaniel Whitenack – Website, GitHub, XLinks:Largo AISylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World's First Fully AI-Automated Film Company' Sponsors:Outshift by Cisco: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.
Every organization is built on people, structures, and culture. But culture isn't static—it evolves with every interaction, ambition, and shift in circumstance. As IT drives business transformation, new technologies reshape how people connect and collaborate. In this ever-changing landscape, a strong, adaptive culture is the key to lasting success. This week, Dave, Esmee and Rob talk to Jitske Kramer, Corporate Anthropologist about what technology is doing to cultures and human systems and how AI can mess with the narrative. TLDR00:50 Introduction of Jitske Kramer and her book Navigating Tricky Times02:05 Rob shares his confusion about saying “thank you” to AI07:25 In-depth conversation with Jitske Kramer11:30 Visual communication via tattoos even at AWS re:Invent25:00 Corporate framing and what's going on within organizations today46:22 Exploring the contrast between the natural pace of human transformation and the rapid acceleration of technology54:14 Editing the documentary Patterns of Life55:56 Esmee's 2x Outro speed surprises everyone!Guest:Jitske Kramer: https://www.linkedin.com/in/jitskekramer/https://jitskekramer.substack.com/Tricky Times event: https://tricky-times.com/events/navigating-tricky-times-leading-through-the-messy-middle-of-change/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/ 'Cloud Realities' is an original podcast from Capgemini
Au programme :WWDC: Les grands enseignements, Liquid Glass et iOS 26WWDC: l'iPad devient un « Mac Lite » (et les autres OS)Les actions planifiées, la prochaine étape de l'IA?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Christophe Camicas (Bluesky).Co-animé par Olivier Frigara (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique par Daniel BejaLe Rendez-vous Tech épisode 622 – WWDC 2025: L'iPad devient « Mac Lite » et Liquid Glass est partout – iOS 26, MacOS 26, iPadOS 26, VisionOS 26, WatchOS 26---Liens :
The telecom industry is undergoing a fundamental transformation. This shift is creating new business opportunities and services but also brings significant challenges in transformation and modernization. In a new five-part mini-series, Reimagining Telecoms, we will explore these challenges through five distinct lenses: Growth, Networks, Simplification, Data & AI, and Regulation, uncovering lessons and insights relevant to telecom organizations and beyond. This week, in the final episode of the mini-series, Dave, Esmee, and Rob talk to Nik Willetts, CEO of TM Forum, to discuss growth—the telco industry's biggest challenge—and how it intersects with Hyperscalers, innovation, and shaping the industry's future. TLDR01:05 Introduction of Nik and an update on the mini-series03:41 Main conversation with Nik Willetts29:10 Navigating the balance between collaboration and competition34:57 Looking ahead to DTW Ignite, the Dolomites, and Brunello wine, served by sommelier Rob GuestNik Willetts: https://www.linkedin.com/in/nikwilletts/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/with Praveen Shankar: https://www.linkedin.com/in/praveen-shankar-capgemini/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini
Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also explore how the generative Generative AI boom is reshaping Flower's roadmap.Featuring:Chong Shen Ng – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XEpisode links:The future of AI training is federatedDeepLearning.ai short course on Federated Learning with FlowerFlower MonthlyFederated Learning in AutomotiveFederated AI in FinanceFederated Learning in HealthcareFederated AI on IoT SystemsFlowerTune LLM LeaderboardFlower IntelligenceGitHubSlackFlower DiscussCheck out upcoming webinars!Sponsors:NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at nordlayer.com/practicalai - 14-day money-back guarantee included.
What can film reviews tell us about gender bias in the movie industry?Dr Wael Khreich from the American University of Beirut explores this question with Genderly, a custom-built AI tool that analyses the language of 17,000 professional reviews. His findings reveal that female-led films are far more likely to be judged through a biased lens—subtly and overtly reinforcing stereotypes. This research sheds light on how language shapes perception, influences careers, and contributes to broader societal inequalities.Read the original research: doi.org/10.1371/journal.pone.0316093
Au programme :Microsoft a bloqué le mail de Karim Khan de la CPIiOS 26 en approche: les prévisions pour la WWDCLa Switch 2 arrive: tout savoir !Le reste de l'actualitéInfos :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 par Daniel BejaLe Rendez-vous Tech épisode 621 – L'autonomie informatique n'est plus une option Microsoft vs CPI, WWDC & iOS 26, Switch 2---Liens :
In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.Featuring:Patrick Foley – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:IntelOpenFLSponsors:NordLayer is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.
Traditional businesses are transforming to enhance consumer engagement and operational efficiency by integrating advanced technologies, helping them stay competitive in the digital age; how can technology best support this transformation?This week, Dave, Esmee and Rob talk to Sandeep Seeripat, CIO at Twinings about how the 300-year-old tea company is undergoing a business transformation. They explore strategies to enhance consumer engagement and operational efficiency, and how Twinings is repositioning itself in the digital world.TLDR00:40 Introduction of Sandeep Seeripat04:03 Rob is confused about by the AI's overly sycophantic behavior07:20 Conversation with Sandeep about three Centuries of Innovation at Twinings43:18 What if brands created with the sensitivity of an artist?53:25 Capture that perfect picture in South AfricaGuestSandeep Seeripat: https://www.linkedin.com/in/sandeepseeripat/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/'Cloud Realities' is an original podcast from Capgemini
Darshan H. Brahmbhatt, Podcast Editor of JACC: Advances, discusses a recently published original research paper on Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep Learning.
Au programme :La conférence Google I/O et Veo 3: la vidéo par IA franchit le rubiconSam Altman et Jony Ive se marient (presque)Accrochez-vous, on va parler d'aspirateursLe reste de l'actualitéInfos :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 par Daniel BejaLe Rendez-vous Tech épisode 620 – C'est terminé: la vidéo par IA franchit le rubicon – Veo 3, Google I/O, Sam Altman & Jony Ive, Pencilvac & Fluffycones---Liens :
[AAA] In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organisations face—sometimes getting a little messy along the way. This week, in what may or may not be our 100th episode, Dave, Esmee and Rob talk to James Wilson, AI Ethicist and Lead Gen AI Architect and Philip Harker, Advisory Lead, Insights and Data at Capgemini UK, about exploring the deep importance of ethics as we move forward into the intelligence age. TLDR00:42 Is this really our 100th episode or not?04:38 What is a team AAA episode and welcoming James and Philip06:12 Rob sets the stage, why AI Ethics matters09:42 In-depth chat with James and Philip59:11 Exploring AI and quantum as innovation boosters1:06:00 A quiet weekend and Safe AI for KidsGuestsJames Wilson: https://www.linkedin.com/in/james-wilson-1938a1/Philip Harker: https://www.linkedin.com/in/philip-harker-243300/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/'Cloud Realities' is an original podcast from Capgemini
Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love to use.Featuring:Loïc Houssier – LinkedInChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:SuperhumanReferral Code for a Free monthSponsors:Outshift by Cisco – AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.
Au programme :Microsoft accélère l'intégration de l'IA agentique à WindowsGrok met en lumière l'importance des "system prompts"Entretiens d'embauche par IA: du vrai au fauxLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Damien Licata Caruso (Bluesky).Co-animé par Titouan Gourlin (Bluesky)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 619 - Les entretiens d'embauche par IA, what could go wrong? - Microsoft Build, Grok sur GitHub, Samsung Galaxy Edge, Computex, Audible par IA, Tesla sur l'Étoile---Liens :
I, Stewart Alsop, welcomed Woody Wiegmann to this episode of Crazy Wisdom, where we explored the fascinating and sometimes unsettling landscape of Artificial Intelligence. Woody, who is deeply involved in teaching AI, shared his insights on everything from the US-China AI race to the radical transformations AI is bringing to education and society at large.Check out this GPT we trained on the conversationTimestamps01:17 The AI "Cold War": Discussing the intense AI development race between China and the US.03:04 Opaque Models & Education's Resistance: The challenge of opaque AI and schools lagging in adoption.05:22 AI Blocked in Schools: The paradox of teaching AI while institutions restrict access.08:08 Crossing the AI Rubicon: How AI users are diverging from non-users into different realities.09:00 Budgetary Constraints in AI Education: The struggle for resources like premium AI access for students.12:45 Navigating AI Access for Students: Woody's ingenious workarounds for the premium AI divide.19:15 Igniting Curiosity with AI: Students creating impressive projects, like catapult websites.27:23 Exploring Grok and AI Interaction: Debating IP concerns and engaging with AI ("Morpheus").46:19 AI's Societal Impact: AI girlfriends, masculinity, and the erosion of traditional skills.Key InsightsThe AI Arms Race: Woody highlights a "cold war of nerdiness" where China is rapidly developing AI models comparable to GPT-4 at a fraction of the cost. This competition raises questions about data transparency from both sides and the strategic implications of superintelligence.Education's AI Resistance: I, Stewart Alsop, and Woody discuss the puzzling resistance to AI within educational institutions, including outright blocking of AI tools. This creates a paradox where courses on AI are taught in environments that restrict its use, hindering practical learning for students.Diverging Realities: We explore how individuals who have crossed the "Rubicon" of AI adoption are now living in a vastly different world than those who haven't. This divergence is akin to past technological shifts but is happening at an accelerated pace, impacting how people learn, work, and perceive reality.The Fading Relevance of Traditional Coding: Woody argues that focusing on teaching traditional coding languages like Python is becoming outdated in the age of advanced AI. AI can handle much of the detailed coding, shifting the necessary skills towards understanding AI systems, effective prompting, and higher-level architecture.AI as the Ultimate Tutor: The advent of AI offers the potential for personalized, one-on-one tutoring for everyone, a far more effective learning method than traditional classroom lectures. However, this potential is hampered by institutional inertia and a lack of resources for tools like premium AI subscriptions for students.Curiosity as the AI Catalyst: Woody shares anecdotes of students, even those initially disengaged, whose eyes light up when using AI for creative projects, like designing websites on niche topics such as catapults. This demonstrates AI's power to ignite curiosity and intrinsic motivation when paired with focused goals and the ability to build.AI's Impact on Society and Skills: We touch upon the broader societal implications, including the rise of AI girlfriends addressing male loneliness and providing acceptance. Simultaneously, there's concern over the potential atrophy of critical skills like writing and debate if individuals overly rely on AI for summarization and opinion generation without deep engagement.Contact Information* Twitter/X: @RulebyPowerlaw* Listeners can search for Woody Wiegmann's podcast "Courage over convention" * LinkedIn: www.linkedin.com/in/dataovernarratives/
Understanding the true environmental cost of digital innovation is crucial for governments aiming to embed sustainability into their digital delivery processes. Governments are embedding sustainability into the heart of digital delivery. Can governments ensure that their digital advancements contribute positively to the environment while maintaining efficiency and effectiveness in their services?This week, Dave, Esmee, and Rob talk to Liam Walsh, Chief Architect, and Paul Mukherjee, CTO at the UK Department for Environment, Food and Rural Affairs (Defra), to explore how the UK government is embedding sustainability into the heart of digital delivery—and holding tech suppliers accountable.TLDR00:32 Introduction of Liam Walsh and Paul Mukherjee01:47 Rob is not confused but Marcel has frustrations with the slow pace of AI implementation05:50 Discussion with Liam and Paul on integrating sustainability within government operations31:17 The significance of Fusion Teams36:18 Attending a gig and reading AI books in front of the caravanGuestsLiam Walsh: https://www.linkedin.com/in/liamjameswalsh/Paul Mukherjee: https://www.linkedin.com/in/paulmukherjee/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/'Cloud Realities' is an original podcast from Capgemini
In this enlightening episode of the Getting Smart Podcast, Tom Vander Ark and Dr. Kaleb Rashad engage in a thought-provoking dialogue with Dr. Michael Fullan, an internationally acclaimed advocate for deeper learning. Together, they explore whether deeper learning is the key to addressing the challenges and opportunities presented by the new age of AI. Dr. Fullan introduces the concept of "systemness," emphasizing the need for systemic change over isolated educational initiatives. The conversation covers the transformative progress in Anaheim, driven by the integration of systemness and the five Cs of compassionate learning. Tune in to discover how AI can be a powerful accelerator for education when underpinned by a strong pedagogical and cultural foundation, and what it means to cultivate spirit work in learning environments. This episode is a must-listen for educators, administrators, and anyone interested in the future of education and AI's role in it. Outline (00:00) Introduction to Deep Learning and AI (02:30) Systemness: The Key to Educational Transformation (05:55) Challenges and Successes in Anaheim (08:52) The Impact of PISA and System Change (10:13) Bottom-Up Change: Building Capacity from the Ground Up (14:45) The Five Elements of Systemness (17:30) AI in Education: Opportunities and Cautions (21:14) Spirit Work and Collaboration (31:35) Nuance in Leadership Links Watch the video here Read the full blog Kaleb Rashad Linked In Michael Fullan Press Kit Michael's Books Mentioned In This Episode Leading in a Culture of Change The New Meaning of Educational Change 6th Edition Nuance: Why Some Leaders Succeed and Others Fail Coherence eKadence Education Reimaged The Creation of Settings and the Future Societies Getting Beyond Better offers a primer for social entrepreneurs Humility is the New Smart Michael Fullan Sees Global Momentum for Deep Learning
Au programme :Apple se prend une claque légale dans son procès contre EpicOpenAI contraint de pivoter à 90° sur son changement de statutQui doit vérifier l'âge des enfants, Meta ou Apple?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok)Co-animé par Melinda Davan-Soulas (Twitter).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Musicincloud.Le Rendez-vous Tech épisode 618 – Le RDV Argent, au bonheur des milliardaires – Apple vs Epic, OpenAI Bcorp, Meta vs Apple, Galaxy S25 Edge---Liens :
In episode 1860, Jack and guest co-host Andrew Ti are joined by host of Worse Than You, Mo Fry Pasic, to discuss…REAL ID Isn’t Real, Cyber Trucks Just Totally Stop Selling, This AI Expert Thinks The AI Bubble’s About to Pop and more! What you need to know about the REAL ID requirements for air travel The Racist Origins of the Real ID Act Top Trump agency reveals key reason why REAL ID will be enforced 'Mass surveillance': Conservatives sound alarm over Trump admin's REAL ID rollout Trump’s Insistence on Real ID Has Become a Flashpoint for His Tinfoil Hat Fans You can get a free Krispy Kreme doughnut on May 7 for Real ID deadline: Here's how Homeland Security chief says travelers with no REAL ID can fly for now, but with likely extra steps Flying out of Indianapolis without REAL ID? Don't fret — the airport isn't turning people away Tesla’s Inventory of Unsold Cybertrucks Skyrockets, Despite Offering $10K Discounts and Concealing Listings The Silicon Valley sceptic warning tech’s new bubble is about to burst Deep Learning Is Hitting a Wall Microsoft’s £2.5bn investment in Britain at risk from creaking power grid Chess helped me win the Nobel Prize, says Google’s AI genius OpenAI overrode concerns of expert testers to release sycophantic GPT-4o The next British boom could be in the offing – if Starmer abandons net zero Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’ LISTEN: Indeed by CruzaSee omnystudio.com/listener for privacy information.
Silicon has long borne the burden of heat transfer in electronics, but in a post-Moore's Law world, researchers like Hongxia Hao and Bing Lv are using AI to discover and design next-generation materials that exceed the limits of silicon's thermal conductivity.Read the paper
In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.Featuring:Chris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XLinks:Protocol websiteAnthropic blog postBlog post - Model Context Protocol (MCP) an overviewFastAPI-MCPHow to Use FastAPI MCP Server: A Complete Guide Candle (Rust framework)
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