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Sign up for Alex's first live cohort, about Hierarchical Model building!Get 25% off "Building AI Applications for Data Scientists and Software Engineers"Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:Why GPs still matter: Gaussian Processes remain a go-to for function estimation, active learning, and experimental design – especially when calibrated uncertainty is non-negotiable.Scaling GP inference: Variational methods with inducing points (as in GPflow) make GPs practical on larger datasets without throwing away principled Bayes.MCMC in practice: Clever parameterizations and gradient-based samplers tighten mixing and efficiency; use MCMC when you need gold-standard posteriors.Bayesian deep learning, pragmatically: Stochastic-gradient training and approximate posteriors bring Bayesian ideas to neural networks at scale.Uncertainty that ships: Monte Carlo dropout and related tricks provide fast, usable uncertainty – even if they're approximations.Model complexity ≠ model quality: Understanding capacity, priors, and inductive bias is key to getting trustworthy predictions.Deep Gaussian Processes: Layered GPs offer flexibility for complex functions, with clear trade-offs in interpretability and compute.Generative models through a Bayesian lens: GANs and friends benefit from explicit priors and uncertainty – useful for safety and downstream decisions.Tooling that matters: Frameworks like GPflow lower the friction from idea to implementation, encouraging reproducible, well-tested modeling.Where we're headed: The future of ML is uncertainty-aware by default – integrating UQ tightly into optimization, design, and deployment.Chapters:08:44 Function Estimation and Bayesian Deep Learning10:41 Understanding Deep Gaussian Processes25:17 Choosing Between Deep GPs and Neural Networks32:01 Interpretability and Practical Tools for GPs43:52 Variational Methods in Gaussian Processes54:44 Deep Neural Networks and Bayesian Inference01:06:13 The Future of Bayesian Deep Learning01:12:28 Advice for Aspiring Researchers
Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.Featuring: Jared Zoneraich – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:PromptLayerUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Technology can scale almost everything—except human experience. In a world driven by efficiency, what does it mean to design for how people truly feel? It's about transforming user interactions into ongoing insight and innovation, rooted in empathy and understanding. This week, Dave, Esmee and Rob talk to Kevin Magee, Chief Technology Officer at All human about helping organizations transform customer experiences with a focus on design, engineering, and what is called "digital performance." TLDR:00:41 Introduction of Kevin Magee with Guinness or sparkling water?03:23 Rob wonders, is Apple really opening up its ecosystem?11:40 Deep dive with Kevin into design, engineering, and digital performance36:30 How tools built for one purpose can transform entire systems48:35 Weekend city breaks and pursuing a master's in psychology GuestKevin Magee: https://www.linkedin.com/in/kevinmagee/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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
Artificial Intelligence isn't magic—it's built on powerful components working together to mimic human intelligence. In this episode, we break down the key pillars of AI, from machine learning to robotics, and explain how they combine to power the world's most advanced systems.
2B Bolder Podcast : Career Insights for the Next Generation of Women in Business & Tech
Curiosity is a gift—but it only turns into momentum when it's tied to impact. Host of the 2B Bolder Podcast, Mary Killelea, sits down with Carol Wilder, a strategic operator who helped launch the Alexa Skills Kit at Amazon, led generative AI partnerships at Dell, and now advises companies and municipalities on pragmatic AI adoption. Carol shares how aligning questions to concrete outcomes reshaped her career—and how that same shift can turn AI from a buzzword into a lever that reduces cycle time, improves resource utilization, and frees people to do higher‑order work.We trace her pivotal moments: choosing the right team under pressure to ship Alexa skills, learning to communicate with crisp, results‑first clarity, and reinventing after hard feedback by defining what to stand for. Carol explains why so many AI programs stall, starting with tools rather than business goals, and outlines a simple framework: pick the outcome, fix process debt, unify data, then layer intelligence. She also challenges the cost of mass layoffs, noting how creative friction, hallway collisions, and institutional memory are often the real engines of innovation.For women building careers in AI and product management, Carol offers direct, useful guidance: use automation to mute the noise, make impact legible, and build fundamentals in programming and model thinking through credible paths like Coursera and DeepLearning.AI. We explore mentorship as a multiplier, customer‑centricity as adopting a client's aspirations as your own, and the underrated power of showing up prepared, questions ready, network engaged, and confidence primed.If this conversation helps you refocus on outcomes and sharpen your AI strategy, share it with a friend, subscribe for more candid career playbooks, and leave a quick review to help others find the show.Resources: Carol Wilder on LinkedIn Company websites: productmuseai.ca & www.atomic47.co Hi Mary here, through my conversations with women leaders, I've learned just how urgent the need is for AI strategies that actually make sense. It's not about adopting tools just to keep up; it's about building a smart foundation. That's exactly what Beyondsoft is doing. To learn more visit https://www.youtube.com/playlist?list=PL-yCsEeZbsl6ivoZoS9YW1quYxbQr1Teo
Au programme :Samsung et Google ont annoncé le Samsung Galaxy XR, le concurrent du Vision Pro d'AppleOpenAI a lancé ChatGPT Atlas : est-ce qu'intégrer ChatGPT dans le navigateur suffira à concurrencer Chrome ?Le reste de l'actualité avec news et rumeurs : Grokipedia, l'effervescence (selon Guillaume) sur les sujets liés à Apple, Free TV, licenciements chez Amazon…Infos :Animé par Guillaume Vendé (Bluesky).Co-animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 638 – ChatGPT Atlas, Samsung Galaxy XR : nouvelles interfaces (mais c'est pas encore ça)---Liens :
An airhacks.fm conversation with Paul Sandoz (@paulsandoz) about: Devoxx conference experiences and Java's evolution over the past decade, energy efficiency studies comparing Java to C/Rust/Ada from 2017, Java performance improvements from Java 8 to Java 25, Code Reflection as manipulation of method bodies versus traditional reflection, tornadovm optimizations for GPU inference achieving 6-10x speedup over CPU, using pointers to keep data on GPUs avoiding transfer overhead, Metal support development for Apple Silicon, relationship between Project Babylon and TornadoVM, HAT project collaboration opportunities, Python's GPU performance through optimized NVIDIA libraries, enterprise challenges with Python in production versus Java's packaging simplicity, BLISS library for NumPy-like operations in Java, DJL.ai for tensor manipulation and Deep Learning, JTaccuino for Jupyter-style notebooks with JavaFX, MCP protocol implementation challenges with poor specification quality, minimal JSON API design philosophy for OpenJDK, cognitive overhead reduction in API design, pattern matching with JSON values, assertion-style API for fail-fast programming, JSON-P versus JSON-B trade-offs in enterprise applications, versioning challenges with data binding approaches, embedded HTTP server use cases for testing and development, JSON-java library as reference implementation, zero-dependency approach becoming more popular, Java 25 instance main methods with automatic java.base imports, zb zero-dependency builder project, marshalling and serialization rethinking in OpenJDK, trusted builds and dependency management in enterprise Java, comparison of Maven/Gradle complexity for simple projects, GPL licensing for OpenJDK code, the java.util.json experiment Paul Sandoz on twitter: @paulsandoz
In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.Featuring: Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Less is More: Recursive Reasoning with Tiny NetworksResearchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events'Sponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Fabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiMiro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at miro.comUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
The skills we teach today will decide the world we live in tomorrow but the digital skills gap is something we've been dealing with for decades, but it's growing faster than ever, it starts with kids and stretches all the way into late IT careers, and now we're finally taking a more connected, lifelong approach to closing it. This week, Dave, Esmee, and Rob speak with Mike Nayler, Director, National Security, Defense & Public Safety at AWS about the digital skills gap and explore how tech companies can help close it. TLDR:00:45 Introduction of Mike Nayler and the pros and cons of enterprise architects, based on a survey03:30 Rob is confused about AI replacing prompt engineers07:55 Conversation with Mike on the digital skills gap25:15 The real gap is between institutions and the people they aim to serve33:24 Mike heading back to school and writing essays againGuest Mike Nayler: https://www.linkedin.com/in/nayler/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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, Luis talks with Jerrell Welch, Director of Operations at OKIE811, about what happens behind the scenes at the center. They dive into daily operations, teamwork, and leadership — and how it all comes together to keep things running smoothly. It's a great conversation that offers an inside look at the people making safe digging possible across Oklahoma.
Au programme :Sous pression, Instagram augmente la protection des comptes adoUne vidéo par IA d'un opposant qui lit un texte qui n'était qu'écrit… c'est mal ?Apple met à jour ses processeurs, mais prépare surtout un Mac tactileLe reste de l'actualitéInfos :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 épisode 637 – Les comptes ado d'Instagram deviennent ce qu'ils auraient du être---Liens :
As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.Featuring:Donato Capitella – LinkedIn, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:ReversecSponsors:Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at AGNTCY.org.Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
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. We're launching a special AI mini-series exploring how artificial intelligence is reshaping industries. Each episode dives into key themes like scaling AI, societal impact, leadership, sustainability, and the challenges ahead. Join us for fresh insights and bold conversations on the future of intelligent systems. This week, Dave, Esmee, and Rob kick off the AI mini-series with Craig Suckling, CAIO at Capgemini and co-host of this special edition. The episode is inspired by “Riding the AI Whirlwind,” Gartner's 2025 strategic predictions report, which urges organizations to act boldly on AI's potential while managing risks like rising costs and privacy concerns TLDR:00:40 – Introduction of Craig Suckling and launch of the AI mini-series02:38 – Summary of three key insights and strategic recommendations from Gartner's “Riding the AI Whirlwind” report23:03 – Strategic planning assumptions: what they mean for business and tech leaders41:40 – Sam Altman's top three concerns about the future of AI49:35 – What key topics remain unaddressed?51:00 – What to expect from the AI mini-series featuring industry leadersHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/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 :Shein annonce des boutiques en France et provoque un tolléContrôle de l'âge: début de consensus aux USChat Control: la loi anti chiffrement échoue à l'UE… pour le momentLe reste de l'actualité avec news et rumeurs : naissance en direct, Youtube, etcInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Co-animé par Laetitia Lamari (LinkedIn).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 636 – Shein au BHV, le loup dans la bergerie ? – Boutiques Shein, Chat Control, contrôle de l'age, accouchement sur Twitch, seconde chance YouTube---Liens :
Daniel Volož, Country Manager DACH bei RTB House, spricht mit Christoph Burseg über die Welt des Programmatic Advertising im E-Commerce. RTB House ist ein Ad-Tech-Unternehmen, das eine auf Deep Learning basierende DSP (Demand Side Platform) zur Automatisierung des Werbeplatz-Einkaufs nutzt. Volož teilt seine Erfahrungen aus der dynamischen Retargeting-Branche, diskutiert die Herausforderungen des aktuellen E Commerce-Marktes und wagt einen Ausblick auf das intensive Q4-Geschäft. Er zieht zudem Vergleiche zwischen der digitalen Reife Deutschlands und Estlands. In dieser Episode erfährst du: ● Warum Estland Deutschland in der Digitalisierung (z. B. im Gesundheits- und Schulsystem) voraus ist und was Deutschland von dem 1,3-Millionen-Einwohner-Land lernen könnte. ● Wie RTB House mit Deep Learning Algorithmen produktbasiertes, dynamisches Retargeting für führende E-Commerceler umsetzt. ● Wie das Ad-Tech-Unternehmen es geschafft hat, trotz starkem Wettbewerb erfolgreich zu wachsen und namhafte Partner zu gewinnen. ● Warum Daniel Volož die Wertschöpfung in seinem Geschäft als 50% KI und 50% Mensch ansieht und die menschliche Komponente im People-Business nicht zu unterschätzen ist. ● Was das Q4 für E-Commerce-Unternehmen bedeutet: eine Verschiebung von reinen Weihnachtskäufen hin zu einem intensiven Zeitraum, der bereits Mitte Oktober mit hoher Rabattierung und kreativen Promotion-Strukturen beginnt. ● Warum Messen wie die DMEXCO in Zeiten von Remote Work wichtiger sind denn je, um Kunden zu sehen und Beziehungen zu pflegen. Christoph auf LinkedIn: https://www.linkedin.com/in/christophburseg Kontaktiere uns über Instagram: https://www.instagram.com/vodafonebusinessde/
Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground. They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.Featuring:Chelsea Linder – LinkedIn Daniel Whitenack – Website, GitHub, XLinks: TechpointSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiFabi.ai - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.Learn more and get started for free at fabi.aiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
The evolving role of technology in modern defense environments, highlighting innovations in communications, automation, and open-source frameworks. Drawing from personal experience, the conversation emphasizes how real-world conflicts are reshaping how tech is deployed, adopted, and understood across military operations. This week, Dave, Esmee, and Rob speak with Ben Sparke, Enterprise Azure Cloud & AI Specialist for UK Defence at Microsoft, about how his military background informs a human-centered approach to technology in the evolving defence sector—highlighting the shift from mission-driven to tech-driven innovation. TLDR:00:37 – Introduction of Ben Sparke and face-to-face podcasting02:40 – Rob gets confused about Digital Twins representing you in court08:15 – Tech's evolving role in defence, with Ben 34:41 – Why improvisation and human adaptability matter 43:30 – Ben's hundred-mile bike race over the weekend Guest Ben Sparke: https://www.linkedin.com/in/ben-sparke/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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 :OpenAI: Instant Checkout permet à ChatGPT de faire des achatsCameo: le coup de génie d'OpenAI dans la génération vidéoAvec les Apps, OpenAI ouvre ChatGPT à toute la techLe 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 libre de droit par Daniel BejaLe Rendez-vous Tech épisode 635 - Avec trois produits majeurs, OpenAI confirme son avance sur l'industrie---Liens :
In this episode of The Teacher Think-Aloud Podcast, we sit down with Sara Davila, a self-described “learning alchemist,” to explore how artificial intelligence is reshaping education. With her trademark mix of research, theory, and classroom pragmatism, Sara takes us on a journey from the evolution of AI and deep learning to the practical ways teachers can use large language models (LLMs) today.Together, we dig into questions educators everywhere are asking: What exactly can AI do for teachers? How can we use it responsibly? And what frameworks can guide us as we experiment and adapt? Sara shares practical applications—from using AI as a personal assistant to update lesson plans, to managing schedules and streamlining teacher workflows. She also addresses the ethics of AI, the role of professional development, and why experimentation and play are essential in this new era.
Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch!Get early access to Alex's next live-cohort courses!Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)Takeaways:BART as a core tool: Gabriel explains how Bayesian Additive Regression Trees provide robust uncertainty quantification and serve as a reliable baseline model in many domains.Rust for performance: His Rust re-implementation of BART dramatically improves speed and scalability, making it feasible for larger datasets and real-world IoT applications.Strengths and trade-offs: BART avoids overfitting and handles missing data gracefully, though it is slower than other tree-based approaches.Big data meets Bayes: Gabriel shares strategies for applying Bayesian methods with big data, including when variational inference helps balance scale with rigor.Optimization and decision-making: He highlights how BART models can be embedded into optimization frameworks, opening doors for sequential decision-making.Open source matters: Gabriel emphasizes the importance of communities like PyMC and Bambi, encouraging newcomers to start with small contributions.Chapters:05:10 – From economics to IoT and Bayesian statistics18:55 – Introduction to BART (Bayesian Additive Regression Trees)24:40 – Re-implementing BART in Rust for speed and scalability32:05 – Comparing BART with Gaussian Processes and other tree methods39:50 – Strengths and limitations of BART47:15 – Handling missing data and different likelihoods54:30 – Variational inference and big data challenges01:01:10 – Embedding BART into optimization and decision-making frameworks01:08:45 – Open source, PyMC, and community support01:15:20 – Advice for newcomers01:20:55 – Future of BART, Rust, and probabilistic programmingThank you to my Patrons for making this episode possible!Yusuke Saito, Avi Bryant, Ero Carrera, Giuliano Cruz, James Wade, Tradd Salvo, William Benton, James Ahloy, Robin Taylor,, Chad Scherrer, Zwelithini Tunyiswa, Bertrand Wilden, James Thompson, Stephen Oates, Gian Luca Di Tanna, Jack Wells, Matthew Maldonado, Ian...
Before Siri had sass and Alexa started judging your music taste, the original virtual assistant was quietly revolutionizing the '90s—powered by many patents and a whole lot of foresight. Now, as AI goes from buzzword to boss, we ask, will it transform your job, your home… or just steal your knowledge? This week, Dave, Esmee and Rob speak with Kevin Surace, Futurist, Inventor & "Father" of the Virtual Assistant, about exploring the evolution of AI, what the future might hold, and how disruptive innovation can shake up your organization in ways you might not expect. TLDR: 00:40 – Introduction of Kevin Surace 05:12 – Rob gets confused by Google Maps reviews and selfies 08:15 – Deep dive into the evolution of AI with Kevin 52:00 – How intelligent agents can help manage digital noise and support mental well-being 1:07:30 – Wrapping up the book the Joy Success Cycle and heading to a concert GuestKevin Surace: https://www.linkedin.com/in/ksurace/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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
Cette semaine je lance un nouveau format premium pour le RDV Tech ! Chaque trimestre je vous proposerai un épisode qui fera un état des lieux des grandes tendances de l'industrie et de ce que je vois dans ma veille, à l'horizon de quelques mois ou de l'année plutôt que celui du quotidien ou de la semaine. L'idée est de fournir une vision complémentaire de l'actu, qui vous permettra de mieux appréhender les évolutions réelles de l'industrie, ainsi que la manière dont elles influencent nos sociétés. A trop avoir la tête dans le guidon, on peut rater un bus qui déboule, pourrait-on dire. :)Au programme :Les grandes tendances :Autonomie stratégique (disponible pour tous)Contrôle de l'âge sur Internet (réservé aux patreotes)Montée en puissance de l'IA (réservé aux patreotes)Tendances émergeantes (réservé aux patreotes)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 BejaLe Rendez-vous Tech épisode 634 – État des Lieux – sept 2025---Liens :
Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.Featuring:Rajiv Shah – LinkedIn Daniel Whitenack – Website, GitHub, XUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Christianity is sometimes branded as anti-intellectual, and its followers labelled unteachable. But in an increasingly divided age, the church - with its rich history of learning - might be able to help the world recover what it means to have a teachable spirit … and to know who to learn from.(00:00) - - How we learn (04:17) - - Teachability (10:44) - - Humility in learning (16:00) - - Is faith a block to thinking critically? (20:58) - - Combating fear with knowledge (28:36) - - Learning from strangers (33:10) - - Learning from the dead (46:26) - - Learning from our enemies (56:33) - - Five Minute Jesus (01:03:56) - - Why learn from Christians? CREDITS Undeceptions is hosted by John Dickson, produced by Kaley Payne and directed by Mark Hadley. Alasdair Belling is a writer-researcher.Siobhan McGuiness is our online librarian. Lyndie Leviston remains John's wonderful assistant. Santino Dimarco is Chief Finance and Operations Consultant. Editing by Richard Hamwi.Our voice actor for this episode was Suzanne Ellis.Special thanks to our series sponsor Zondervan for making this Undeception possible. Undeceptions is the flagship podcast of Undeceptions.com - letting the truth out.
We're back! In this Season 5 premiere, the team reunites after their summer break to kick off an exciting new chapter. Join us as we catch up, share bold predictions for the year ahead, and explore big questions, like whether 2026 will be the year of the autonomous organization. Expect candid reflections, lively discussion, and a sneak peek at what's coming up this season. We are very keen this season to establish a feedback loop with listeners, so will be doing shows exploring listener questions and challenges - something we are really looking forward to. Please get in touch with us, via LinkedIn, Substack or cloudrealities@capgemini.com, if you have questions or challenges for us, we'd love to hear from you!TLDR: 00:20 – We're back! 00:35 – Catching up on what we did during the summer break 10:48 – Planning ahead until Christmas: Microsoft Ignite, AWS re:Invent, an AI mini-series and cool guests 20:27 – Tech talk: iPhone 17, deep democracy training, and the human impact of innovation 32:10 – Will autonomous organizations powered by agents emerge within 12–18 months? 40:45 – Reflections inspired by Jaws, climbing adventures, and Bruce Springsteen HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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 part 2 of this episode, MacKenzie sits down with Stacy Hock, Vice Chair of the Texas Higher Education Coordinating Board, to discuss the current landscape of K-12 education reform. Drawing on her experience as an education leader and mom of four with kids in public, private, and Alpha schools, Stacy shares her perspective on tailoring education to each child's unique needs and path. She also digs into the red tape and regulations that often hold schools back, and how reform could open doors for more innovation in learning.
In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. Featuring:Chris Aquino – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: ThunderbirdThunderbird ProSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Au programme :iPhone 17, Air et Pro: le plein de bonnes surprisesMeta présente ses premières lunettes IA avec écranYouTube veut aider tout le monde à devenir créateurLe reste de l'actualité: visas H-1B, TikTok US…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 633 – Tout est du contenu, tout le monde est créateur – iPhone 17, Meta Ray Ban Display, YouTube Summit, TikTok US, visa H-1B---Liens :
A merciless serial killer terrorised women in the United Kingdom with a spate of brutal attacks, leaving police and forensic experts stumped. Now, almost 50 years later, forensics has learned, and built more advanced technologies that could've helped catch the killer sooner, and potentially saved lives. In this Rewind episode of Crime Insiders Forensics, former host Kathryn Fox sits down with Dr Marie Morelato to understand how forensics has evolved from this case, and to unpack the current strategies being employed to catch criminals and save lives. This episode contains references to sexual violence against women and children. If you or someone you know needs help, dial 1800 RESPECT (1800 737 732). See omnystudio.com/listener for privacy information.
Professor Andrew Wilson from NYU explains why many common-sense ideas in artificial intelligence might be wrong. For decades, the rule of thumb in machine learning has been to fear complexity. The thinking goes: if your model has too many parameters (is "too complex") for the amount of data you have, it will "overfit" by essentially memorizing the data instead of learning the underlying patterns. This leads to poor performance on new, unseen data. This is known as the classic "bias-variance trade-off" i.e. a balancing act between a model that's too simple and one that's too complex.**SPONSOR MESSAGES**—Tufa AI Labs is an AI research lab based in Zurich. **They are hiring ML research engineers!** This is a once in a lifetime opportunity to work with one of the best labs in EuropeContact Benjamin Crouzier - https://tufalabs.ai/ —Take the Prolific human data survey - https://www.prolific.com/humandatasurvey?utm_source=mlst and be the first to see the results and benchmark their practices against the wider community!—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyOct SF conference - https://dagihouse.com/?utm_source=mlst - Joscha Bach keynoting(!) + OAI, Anthropic, NVDA,++Hiring a SF VC Principal: https://talent.cyber.fund/companies/cyber-fund-2/jobs/57674170-ai-investment-principal#content?utm_source=mlstSubmit investment deck: https://cyber.fund/contact?utm_source=mlst— Description Continued:Professor Wilson challenges this fundamental belief (fearing complexity). He makes a few surprising points:**Bigger Can Be Better**: massive models don't just get more flexible; they also develop a stronger "simplicity bias". So, if your model is overfitting, the solution might paradoxically be to make it even bigger.**The "Bias-Variance Trade-off" is a Misnomer**: Wilson claims you don't actually have to trade one for the other. You can have a model that is incredibly expressive and flexible while also being strongly biased toward simple solutions. He points to the "double descent" phenomenon, where performance first gets worse as models get more complex, but then surprisingly starts getting better again.**Honest Beliefs and Bayesian Thinking**: His core philosophy is that we should build models that honestly represent our beliefs about the world. We believe the world is complex, so our models should be expressive. But we also believe in Occam's razor—that the simplest explanation is often the best. He champions Bayesian methods, which naturally balance these two ideas through a process called marginalization, which he describes as an automatic Occam's razor.TOC:[00:00:00] Introduction and Thesis[00:04:19] Challenging Conventional Wisdom[00:11:17] The Philosophy of a Scientist-Engineer[00:16:47] Expressiveness, Overfitting, and Bias[00:28:15] Understanding, Compression, and Kolmogorov Complexity[01:05:06] The Surprising Power of Generalization[01:13:21] The Elegance of Bayesian Inference[01:33:02] The Geometry of Learning[01:46:28] Practical Advice and The Future of AIProf. Andrew Gordon Wilson:https://x.com/andrewgwilshttps://cims.nyu.edu/~andrewgw/https://scholar.google.com/citations?user=twWX2LIAAAAJ&hl=en https://www.youtube.com/watch?v=Aja0kZeWRy4 https://www.youtube.com/watch?v=HEp4TOrkwV4 TRANSCRIPT:https://app.rescript.info/public/share/H4Io1Y7Rr54MM05FuZgAv4yphoukCfkqokyzSYJwCK8Hosts:Dr. Tim Scarfe / Dr. Keith Duggar (MIT Ph.D)REFS:Deep Learning is Not So Mysterious or Different [Andrew Gordon Wilson]https://arxiv.org/abs/2503.02113Bayesian Deep Learning and a Probabilistic Perspective of Generalization [Andrew Gordon Wilson, Pavel Izmailov]https://arxiv.org/abs/2002.08791Compute-Optimal LLMs Provably Generalize Better With Scale [Marc Finzi, Sanyam Kapoor, Diego Granziol, Anming Gu, Christopher De Sa, J. Zico Kolter, Andrew Gordon Wilson]https://arxiv.org/abs/2504.15208
Dave, Esmee, and Rob are strapping in for another season of bold, brain-bending conversations—and they're bringing the flux capacitor with them from Back to the Future.Season 5 beams in global leaders and innovators who challenge how we think about technology, business, and humanity. From AI disruption to digital sovereignty, from leadership to culture—this season's guests are ready to shake things up.Our first full episode drops on September 25, but before we hit 88 miles per hour, here's a quick trailer to set the timeline straight, or at least bend it a little.HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/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 :La meilleure annonce d'Apple est une camera carréeUne IA devient ministre en Albanie (ce n'est pas une blague)En Suisse, le gouvernement propose de tuer la vie privéeLe 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 632 – Apple annonce un lineup plus solide qu'éblouissant---Liens :
Nick Tammaro and PTF lead off with stakes analysis from Woodbine and Churchill Downs. Where does Notable Speech fit in the BC Mile picture? Is Bentornato a good bet in the Sprint? Where will be see Deep Learning and Teddy's Rocket next? They answer these questions and many more.Next up, Goffs USA agent Jacob West joins PTF and they talk about the general positive health of the industry from a breeding and sales side and look ahead to the Goffs Orby sale and the myriad opportunities afforded to the buyers who shop there, We also get an update on some of the impressive two-year-olds and BC Classic contenders (Fierceness, Mindframe), Jacob is associated with through his role on the Repole bloodstock team.
Nick Tammaro and PTF lead off with stakes analysis from Woodbine and Churchill Downs. Where does Notable Speech fit in the BC Mile picture. Is Bentornato a good bet in the Sprint? Where will be see Deep Learning and Teddy's Rocket next? They answer these questions and many more.Next up, Goffs USA agent Jacob West joins PTF and they talk about the general positive health of the industry from a breeding and sales side and look ahead to the Goffs Orby sale and the myriad opportunities afforded to the buyers who shop there, We also get an update on some of the impressive two-year-olds and BC Classic contenders (Fierceness, Mindframe), Jacob is associated with through his role on the Repole bloodstock team.
In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model isn't enough. We explore the latest AI trends, from GPT-5 to open source models, and their impact on jobs, machine learning, and enterprise strategy. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: The GenAI Divide: State of AI in Business 2025MIT Report: 95% of generative AI pilots at companies are failingSponsors:Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at miro.comShopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.Start your one-dollar trial at shopify.com/practicalaiUpcoming Events: Join us at the Midwest AI Summit on November 13 in Indianapolis to hear world-class speakers share how they've scaled AI solutions. Don't miss the AI Engineering Lounge, where you can sit down with experts for hands-on guidance. Reserve your spot today!Register for upcoming webinars here!
Au programme :Procès pour monopole: Google évite le pireAnthropic va payer $1,5 Mrds aux auteurs qu'ils ont piratéDes mini prédictions pour la conf AppleLe reste de l'actualitéEt merci à Freelance Informatique, le sponsor de cet épisode ! Retrouvez toutes les infos sur http://freelance-informatique.fr/.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 631 – Google échappe au pire dans son procès avec les US – Google vs US, Anthropic paie les auteurs, Musk pilote Gork, Euro numérique---Liens :
Today I'm joined by Jamie Gerlach, an educator and leader who believes in the power of deep learning to build human agency and sees access to rigorous play as a basic right for all. For over a decade, he has designed and led professional learning in embodied literacy, 4C learning and school transformation, working with teachers and leaders across Australia and internationally. Jamie has also lectured at the University of Sydney and spoken at national conferences. In this conversation, we explore his philosophy, passion and practical insights for reimagining education.
The Yellow Block is back, you lucky people. Hosted by Dan, Rob and Nick. On the talkSPORT fan network Sponsored by QCS (Quince Contracting Services – Your end-to-end solution for Facilities Management, Compliance, Project Management and Installation). Hosted on Acast. See acast.com/privacy for more information.
This is the story of a dream, perhaps one of humanity's oldest and most audacious: the dream of a thinking machine. It's a tale that begins not with silicon and code, but with myths of bronze giants and legends of clay golems. We'll journey from the smoke-filled parlors of Victorian England, where the first computers were imagined, to a pivotal summer conference in 1956 where a handful of brilliant, tweed-clad optimists officially christened a new field: Artificial Intelligence. But this is no simple tale of progress. It's a story of dizzying highs and crushing lows, of a dream that was promised, then deferred, left to freeze in the long "AI Winter." We'll uncover how it survived in obscurity, fueled by niche expert systems and a quiet, stubborn belief in its potential. Then, we'll witness its spectacular rebirth, a renaissance powered by two unlikely forces: the explosion of the internet and the graphical demands of video games. This is the story of Deep Learning, of machines that could finally see, and of the revolution that followed. We'll arrive in our present moment, a strange new world where we converse daily with Large Language Models—our new, slightly unhinged, and endlessly fascinating artificial companions. This isn't just a history of technology; it's the biography of an idea, and a look at how it's finally, complicatedly, come of age. To unlock full access to all our episodes, consider becoming a premium subscriber on Apple Podcasts or Patreon. And don't forget to visit englishpluspodcast.com for even more content, including articles, in-depth studies, and our brand-new audio series and courses now available in our Patreon Shop!
Au programme :Korben a quitté les réseaux sociaux, il nous explique pourquoiPourquoi l'explosion de l'IA menace la bourse américaineL'UE ne veut pas céder face pas à Trump et aux GAFAMLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Jérôme Keinborg (Bluesky).Co-animé par Korben (site)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 630 – L'IA menace la bourse, mais c'est pas (si) grave ?---Liens :
Daniel and Chris sit with Citadel AI's Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan's approach to AI adoption with the US's, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation.Featuring:Rick Kobayashi – LinkedInKenny Song – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Citadel AIRegister for upcoming webinars here!
Au programme :La légitimité de Luc Julia remise en question dans le cadre d'un debunkDécès de Jean Permanove en live sur KickGPT-5 et GPT-OSSRevue des innovations en matière d'intelligence artificielleNouveaux appareils Google Pixel et le reste du matosToujours plus d'enjeux de sécuritéInfos :Animé par Guillaume Vendé (Bluesky, Mastodon, Threads, Instagram, TikTok, YouTube, techcafe.fr)Co-animé par Mat (profduweb.com, Apple Différemment, Threads, Instagram, YouTube)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 629 – Drames et dramas d'août---Liens :
We are told by people working in the field, researchers and those who publish academic papers on the topic that artificial intelligence or deep learning or LLMs or Machine Learning or Recurrent Neural Networks - call them what you like - employ some form of inductive reasoning. But do they? What is inductive reasoning? What is deductive or adductive for that matter? Is "new physics" or other new science being discovered by the most recent and best chatbots or other "artificially intelligent" computer systems? My response to all that is contained herein. For images see: https://youtu.be/9Dimv7mOls4 For more information: https://www.bretthall.org/blog/induction
In this episode, We talked with Pastor, a medical doctor who built a career in machine learning while studying medicine. Pastor shares how he balanced both fields, leveraged live courses and public sharing to grow his skills, and found opportunities through freelancing and mentoring.TIMECODES00:00 Pastor's background and early programming journey06:05 Learning new tools and skills on the job while studying medicine11:44 Balancing medical studies with data science work and motivation13:48 Applying medical knowledge to data science and vice versa18:44 Starting freelance work on Upwork and overcoming language challenges24:03 Joining the machine learning engineering course and benefits of live cohorts27:41 Engaging with the course community and sharing progress publicly35:16 Using LinkedIn and social media for career growth and interview opportunities41:03 Building reputation, structuring learning, and leveraging course projects50:53 Volunteering and mentoring with DeepLearning.AI and Stanford Coding Place57:00 Managing time and staying productive while studying medicine and machine learningConnect with PastorTwitter - https://x.com/PastorSotoB1Linkedin - / pastorsoto Github - https://github.com/sotoblancoWebsite - https://substack.com/@pastorsotoConnect with DataTalks.Club:Join the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/...Check other upcoming events - https://lu.ma/dtc-eventsGitHub: https://github.com/DataTalksClubLinkedIn - / datatalks-club Twitter - / datatalksclub Website - https://datatalks.club/
No Priors: Artificial Intelligence | Machine Learning | Technology | Startups
Andrew Ng has always been at the bleeding edge of fast-evolving AI technologies, founding companies and projects like Google Brain, AI Fund, and DeepLearning.AI. So he knows better than anyone that founders who operate the same way in 2025 as they did in 2022 are doing it wrong. Sarah Guo and Elad Gil sit down with Andrew Ng, the godfather of the AI revolution, to discuss the rise of agentic AI, and how the technology has changed everything from what makes a successful founder to the value of small teams. They talk about where future capability growth may come from, the potential for models to bootstrap themselves, and why Andrew doesn't like the term “vibe coding.” Also, Andrew makes the case for why everybody in an organization—not just the engineers—should learn to code. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @AndrewYNg Chapters: 00:00 – Andrew Ng Introduction 00:32 – The Next Frontier for Capability Growth 01:29 – Andrew's Definition of Agentic AI 02:44 – Obstacles to Building True Agents 06:09 – The Bleeding Edge of Agentic AI 08:12 – Will Models Bootstrap Themselves? 09:05 – Vibe Coding vs. AI Assisted Coding 09:56 – Is Vibe Coding Changing the Nature of Startups? 11:35 – Speeding Up Project Management 12:55 – The Evolution of the Successful Founder Profile 19:23 – Finding Great Product People 21:14 – Building for One User Profile vs. Many 22:47 – Requisites for Leaders and Teams in the AI Age 28:21 – The Value of Keeping Teams Small 32:13 – The Next Industry Transformations 34:04 – Future of Automation in Investing Firms and Incubators 37:39 – Technical People as First Time Founders 41:08– Broad Impact of AI Over the Next 5 Years 41:49 – Conclusion
Dan and Chris break down Winning the Race: America's AI Action Plan, issued by the White House in July 2025. Structured as three "pillars" — Accelerate AI Innovation, Build American AI Infrastructure, and Lead in International AI Diplomacy and Security — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also exploring the mixed reactions it's sparked across political lines. They connect the plan to international AI diplomacy and national security interests, discuss its implications for practitioners, and consider how political realities could shape its success in the years ahead. Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:Press Release: White House Unveils America's AI Action PlanPaper: America's AI Action PlanSponsors:Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at shopify.com/practicalaiRegister for upcoming webinars here!
Au programme :Comme le mois dernier je vous propose un épisode "crossover" pour découvrir mon autre podcast, le RDV Jeux.Cette fois-ci c'est l'épisode 393, où on décortique l'annonce de la Switch 2 et la possible scission de Ubisoft avec son partenaire Tencent, en plus des jeux du moment bien sûr.Plus d'infos : https://frenchspin.fr/2025/04/switch-2-nintendo-veut-votre-argent-combien-rdv-jeux/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 :
Today's clip is from episode 138 of the podcast, with Mélodie Monod, François-Xavier Briol and Yingzhen Li.During this live show at Imperial College London, Alex and his guests delve into the complexities and advancements in Bayesian deep learning, focusing on uncertainty quantification, the integration of machine learning tools, and the challenges faced in simulation-based inference.The speakers discuss their current projects, the evolution of Bayesian models, and the need for better computational tools in the field.Get the full discussion here.Attend Alex's tutorial at PyData Berlin: A Beginner's Guide to State Space Modeling Intro to Bayes Course (first 2 lessons free)Advanced Regression Course (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work!Visit our Patreon page to unlock exclusive Bayesian swag ;)TranscriptThis is an automatic transcript and may therefore contain errors. Please get in touch if you're willing to correct them.
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
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