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This issue will review: 1. Real-World Prospective Validation and Economic Evaluation of Deep Learning-based Diabetic Retinopathy Detection from Fundus Photographs: A Systematic Review and Meta- Analysis 2. Orforglipron, an oral small-molecule GLP-1 receptor agonist, for the treatment of obesity in people with type 2 diabetes (ATTAIN-2): a phase 3, double-blind, randomised, multicentre, placebo-controlled trial 3. FDA removal of SI for GLP-1s – FDA Announcement Neil Read/John Comment 4. Effectiveness and Safety of Statins in Type 2 Diabetes According to Baseline Cardiovascular Risk: A Target Trial Emulation Study 5. GLP-1 Receptor Agonists and Risk of Optic Nerve or Vision-Threatening Events in Patients with Type 2 Diabetes or Cardiometabolic Diseases: A Meta-Analysis of Randomized Controlled Trials Diabetes Core Update is a monthly podcast that presents and discusses the latest clinically relevant articles from the American Diabetes Association's four science and medical journals – Diabetes, Diabetes Care, Clinical Diabetes, and Diabetes Spectrum. Each episode is approximately 25 minutes long and presents 5-6 recently published articles from ADA journals. Intended for practicing physicians and health care professionals, Diabetes Core Update discusses how the latest research and information published in journals of the American Diabetes Association are relevant to clinical practice and can be applied in a treatment setting. For more information about each of ADA's science and medical journals, please visit Diabetesjournals.org. Hosts: Neil Skolnik, M.D., Professor of Family and Community Medicine, Sidney Kimmel Medical College, Thomas Jefferson University; Associate Director, Family Medicine Residency Program, Abington Jefferson Health John J. Russell, M.D., Professor of Family and Community Medicine, Sidney Kimmel Medical College, Thomas Jefferson University; Chair-Department of Family Medicine, Abington Jefferson Health
Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, industry, and tech. Energy transportation is a deeply local business, safely delivering gas and electricity, more and more from renewable sources, directly to the communities it serves. Technology and AI help make that possible by strengthening safety, bringing companies closer to customers, and enabling teams to build the future together. This week, Dave, Esmee, and Rob are joined by John Koerwer, CIO of UGI Corporation, to explore explore why “the business” and tech still struggle to speak the same language, nd what helps close the gap.TLDR00:35 – Introduction01:17 – Hang out: new toys and coffee07:55 – Dig in: the business - tech divide21:07 – Conversation with John Koerwer59:40 – The amazing AI technology in The Sphere's version of The Wizard of OzGuestJohn Koerwer: https://www.linkedin.com/in/john-koerwer-46102127/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :Les robots de Chine sont impressionnantsApple voudrait des caméras partout… pour Siri?Le reste de l'actualité : les jeunes entrepreneurs, la mémoire dans le verre, le VPN d'Etat américain..Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Guillaume Vendé (Bluesky).Co-animé par Nelly Lesage (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 654 – La démo technologique la plus impressionnante depuis ChatGPTLiens :---Liens :
How did we go from digital computers to AI seemingly everywhere? Neil deGrasse Tyson, Chuck Nice, & Gary O'Reilly dive into the mechanics of thinking, how AI got its start, and what deep learning really means with cognitive and computer scientist, Nobel Laureate, and one of the architects of AI, Geoffrey Hinton. Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
למרות ההתעניינות המחודשת ברשתות נוירונים מלאכותיים בראשית שנות האלפיים, רוב חוקרי הבינה המלאכותית היו עדיין ספקנים לגבי הפוטנציאל המעשי של הטכנולוגיה הזו. ג'פרי הינטון האנגלי היה מבין מדעני המחשב הבודדים שהמשיכו להאמין ברשתות הנוירונים. בשנת 2003 התכנסו הוא ושניים מעמיתיו - יאן לקו הצרפתי ויושוע בנג'יו הקנדי - ובניסיון להתגבר על הספקנות הזו העניקו לטכנולוגיה הותיקה שם חדש: "למידה עמוקה", שם שמטשטש במכוון את הקשר שלה אל רשתות נוירונים מלאכותיים. בשנת 2009 הצליחו שני סטודנטים ליישם את רשתות הנוירונים האלה באמצעות כרטיסים גרפיים, מהסוג שמשמש למשחקי מחשב - והבמה היתה מוכנה לפריצתה של אחת הטכנולוגיות המשמעותיות ביותר בהיסטוריה האנושית...בסוף הפרק: תוספת מיוחדת לפרק המקורי - איך אפשר "לקרוא את המחשבות" של הבינה המלאכותית, ואפילו לשלוט עליהן?...האזנה נעימה,רן
As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte's Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.Featuring:Deborah Golden – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:DeloitteSponsor: Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIUpcoming Events: Register for upcoming webinars here!
למרות ההתעניינות המחודשת ברשתות נוירונים מלאכותיים בראשית שנות האלפיים, רוב חוקרי הבינה המלאכותית היו עדיין ספקנים לגבי הפוטנציאל המעשי של הטכנולוגיה הזו. ג'פרי הינטון האנגלי היה מבין מדעני המחשב הבודדים שהמשיכו להאמין ברשתות הנוירונים. בשנת 2003 התכנסו הוא ושניים מעמיתיו - יאן לקו הצרפתי ויושוע בנג'יו הקנדי - ובניסיון להתגבר על הספקנות הזו העניקו לטכנולוגיה הותיקה שם חדש: "למידה עמוקה", שם שמטשטש במכוון את הקשר שלה אל רשתות נוירונים מלאכותיים. בשנת 2009 הצליחו שני סטודנטים ליישם את רשתות הנוירונים האלה באמצעות כרטיסים גרפיים, מהסוג שמשמש למשחקי מחשב - והבמה היתה מוכנה לפריצתה של אחת הטכנולוגיות המשמעותיות ביותר בהיסטוריה האנושית...בסוף הפרק: תוספת מיוחדת לפרק המקורי - איך אפשר "לקרוא את המחשבות" של הבינה המלאכותית, ואפילו לשלוט עליהן?...האזנה נעימה,רן
Au programme :Les US en ce moment: this is fineTikTok est toujours aussi populaire aux USLe reste de l'actualité : Apple event, Mistral en Suède, OpenClaw chez OpenAILe podcast dont je parle en intro: https://www.radiofrance.fr/franceculture/podcasts/questions-du-soir-le-debat/les-annees-30-nous-aveuglent-elles-8094566Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Marion Doumeingts (Instagram, Bluesky, Twitter).Co-animé par Benoît Curdy (X, Niptech)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 653 – This is fine – FTC, DHS, Pentagon, TikTok USLiens :---Liens :
Et si l'on pouvait sentir l'odeur des phénomènes physiques ? Détecter une anomalie avant qu'elle ne devienne critique, anticiper l'emballement d'une batterie ou suivre précisément les étapes de fermentation ?Dans ce nouvel épisode du Lab, Émilie Bialic, Data Scientist Senior chez Capgemini, nous explique comment le nez électronique, un dispositif inspiré de notre odorat et amplifié par l'IA, parvient à décoder l'empreinte olfactive des phénomènes physiques. Les applications sont nombreuses et prometteuses dans la santé, l'industrie ou encore l'agroalimentaire. À la croisée de la physique, de la modélisation mathématique et de l'intelligence artificielle, cette technologie apprend à reconnaître des signatures olfactives complexes pour révéler ce que le monde réel émet sans que nous ne puissions le percevoir.
AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification & Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEF CON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.Featuring:Sean McGregor– LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks:AI Verification & Evaluation Research InstituteAI Incident Database38th convening of IAAIBenchRiskState of Global AI Incident ReportingUpcoming Events: Register for upcoming webinars here!
On Cloud Realities, the real insight rarely came from technology alone, it emerged at the intersection of People, Culture, Industry, and Technology. In the remix we bring back familiar voices and topics while going deeper into the wider impacts, influence, and potential of today's tech across society. The 2026 season trailer, arriving a little later than planned, opens with this renewed focus and sets the stage for Episode 1, launching on February 19. Here's a quick trailer to get you ready!TLDR00:11 The emergence of insight from Cloud Realities01:00 Where the magic happens 01:42 The real impact on People, Culture, Industry and Tech HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/ SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett: https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini
Au programme :L'UE juge que le design addictif de TikTok est illégalLe Bitcoin dégringole et tout le monde sait pourquoiLe reste de l'actualité : la fatigue liée à l'IA, l'URL la plus chère, louer des humains, etc…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 652 - J'ai pas fait Science Po mais j'ai trois réponses---Liens :
Au programme :La folie OpenClaw: Jarvis dans votre maisonMusk consolide son empire: SpaceX fusionne avec xAIRésultats trimestriels: les infos intéressantesLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Jérôme Keinborg (Bluesky).Co-animé par Cédric de Luca (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 651 – Openclaw c'est un majordome, il connait la couleur de votre slip – Openclaw, SpaceX & xAI, résultats Q3, On This Day…---Liens :
רשתות נוירוניים מלאכותיים, הטכנולוגיה שנמצאת בבסיס כמעט כל סוגי הבינה המלאכותית המודרנית, הומצאו - תאמינו או לא - כבר בשנות החמישים של המאה הקודמת. אבל למרות הדימיון הברור לאופן שבו פועל מוחנו, במשך עשרות שנים האמינו מדעני המחשב כי נוירונים מלאכותיים הם מבוי סתום ולעולם לא יובילו לבינה מלאכותית. ניסוי מפתיע שערכו שני פסיכולוגים, דווקא, הביא לעניין מחודש בטכנולוגיה המסקרנת. האזנה נעימה,רן
AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of Shell Game, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.Featuring:Evan Ratliff – LinkedIn, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:Shell GameUpcoming Events: Register for upcoming webinars here!
רשתות נוירוניים מלאכותיים, הטכנולוגיה שנמצאת בבסיס כמעט כל סוגי הבינה המלאכותית המודרנית, הומצאו - תאמינו או לא - כבר בשנות החמישים של המאה הקודמת. אבל למרות הדימיון הברור לאופן שבו פועל מוחנו, במשך עשרות שנים האמינו מדעני המחשב כי נוירונים מלאכותיים הם מבוי סתום ולעולם לא יובילו לבינה מלאכותית. ניסוי מפתיע שערכו שני פסיכולוגים, דווקא, הביא לעניין מחודש בטכנולוגיה המסקרנת. האזנה נעימה,רן
• Support & get perks!• Proudly sponsored by PyMC Labs! Get in touch at alex.andorra@pymc-labs.com• Intro to Bayes and Advanced Regression courses (first 2 lessons free)Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work !Chapters:00:00 Scaling Bayesian Neural Networks04:26 Origin Stories of the Researchers09:46 Research Themes in Bayesian Neural Networks12:05 Making Bayesian Neural Networks Fast16:19 Microcanonical Langevin Sampler Explained22:57 Bottlenecks in Scaling Bayesian Neural Networks29:09 Practical Tools for Bayesian Neural Networks36:48 Trade-offs in Computational Efficiency and Posterior Fidelity40:13 Exploring High Dimensional Gaussians43:03 Practical Applications of Bayesian Deep Ensembles45:20 Comparing Bayesian Neural Networks with Standard Approaches50:03 Identifying Real-World Applications for Bayesian Methods57:44 Future of Bayesian Deep Learning at Scale01:05:56 The Evolution of Bayesian Inference Packages01:10:39 Vision for the Future of Bayesian StatisticsThank you to my Patrons for making this episode possible!Come meet Alex at the Field of Play Conference in Manchester, UK, March 27, 2026!Links from the show:David Rügamer:* Website* Google Scholar* GitHubEmanuel Sommer:* Website* GitHub* Google ScholarJakob Robnik:* Google Scholar* GitHub* Microcanonical Langevin paper* LinkedIn
Our 232st episode with a summary and discussion of last week's big AI news!Recorded on 01/23/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:OpenAI announces testing of ads in ChatGPT and introduces child age prediction to enhance safety features, amidst ongoing ethical debates and funding expansions in AI integration with educational tools and business models.China's AI landscape sees significant progress with AI firm Jpu training advanced models on domestic hardware, and strong competitive moves by data centers, highlighting the intense demand in AI manufacturing and infrastructure.Silicon Valley tensions rise as startup Thinking Machines experiences high-profile departures back to OpenAI, reflecting broader industry struggles and rapid shifts in organizational dynamics.AI legislation and safety measures advance with the US Senate's Defiance Act addressing explicit content, and Anthropic updating Claude's constitution to guide ethical AI interactions, while cultural pushbacks from artists signal ongoing debates in intellectual property and AI-generated content.Timestamps:(00:00:10) Intro / Banter(00:02:08) News Preview(00:02:26) Response to listener commentsTools & Apps(00:11:55) OpenAI to test ads in ChatGPT as it burns through billions - Ars Technica(00:18:05) OpenAI is launching age prediction for ChatGPT accounts(00:23:37) Google now offers free SAT practice exams, powered by Gemini | TechCrunch(00:24:57) Baidu's AI Assistant Reaches Milestone of 200 Million Monthly Active Users - WSJApplications & Business(00:26:53) The Drama at Thinking Machines, a New A.I. Start-Up, Is Riveting Silicon Valley - The New York Times(00:31:44) Zhipu AI breaks US chip reliance with first major model trained on Huawei stack | South China Morning Post(00:36:31) Elon Musk's xAI launches world's first Gigawatt AI supercluster to rival OpenAI and Anthropic(00:41:25) Sequoia to invest in Anthropic, breaking VC taboo on backing rivals: FT(00:45:18) Humans&, a 'human-centric' AI startup founded by Anthropic, xAI, Google alums, raised $480M seed round | TechCrunchProjects & Open Source(00:48:51) Black Forest Labs Releases FLUX.2 [klein]: Compact Flow Models for Interactive Visual Intelligence - MarkTechPost(00:50:35) [2601.10611] Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding(00:52:53) [2601.10547] HeartMuLa: A Family of Open Sourced Music Foundation Models(00:54:46) [2601.11044] AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World ContextsResearch & Advancements(00:57:05) STEM: Scaling Transformers with Embedding Modules(01:06:22) Reasoning Models Generate Societies of Thought(01:14:21) Why LLMs Aren't Scientists Yet: Lessons from Four Autonomous Research AttemptsPolicy & Safety(01:19:41) Senate passes bill letting victims sue over Grok AI explicit images(01:22:03) Building Production-Ready Probes For Gemini(01:27:32) Anthropic Publishes Claude AI's New Constitution | TIMESynthetic Media & Art(01:34:13) Artists Launch Stealing Isn't Innovation Campaign To Protest Big TechSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book Rewiring Democracy, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.Featuring:Bruce Schneier – XChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XLinks: Schneier on SecuritySponsors:Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at framer.com/PRACTICALAIZapier - The AI orchestration platform that puts AI to work across your company. Check it out at zapier.com/practicalUpcoming Events: Register for upcoming webinars here!
Au programme :TikTok US: c'est fait, quelles conséquences ?ChatGPT: la pub et la vérification de l'âge arriventApple travaillerait sur un « vrai » assistant Siri pour septembreLe reste de l'actualité : eau vs burgers, FacePay, Setapp Mobile, etc.Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric de Luca (Bluesky).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 650 – TikTok US: de charybde en scylla---Liens :
There's concern about the future of AI and how it may affect jobs and employment for the masses. I see plenty of people on both sides of the issue. Some are sure AI technologies won't replace people; some are concerned their jobs will be eliminated, and some are hoping that we will eliminate some jobs and create many more. Sometimes that's the same person. Read the rest of Deep Learning and Craftsmanship Matter
פרק מספר 511 של רברס עם פלטפורמה, שהוקלט ב-18 בינואר 2026. אורי ורן מקליטים בכרכור (הגשומה והקרה) ומארחים את נמרוד וקס - CPO ו-Co-Founder של BigID - שחצה את כביש 6 בגשם זלעפות כדי לדבר על אתגרים טכנולוגיים בעולם המופלא של Data Production ו-Security.
As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today's black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. Featuring:Alizishaan Khatri – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XUpcoming Events: Register for upcoming webinars here!
C'est très rare, mais je suis trop malade pour assurer les épisodes, plus d'explications dans ce petit message de service. Je reviens très bientôt !Infos :Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).---Liens :
פרק מספר 510 של רברס עם פלטפורמה, שהוקלט ב-6 בינואר 2026. אורי ורן מקליטים בכרכור ומארחים את טל (מאזין ותיק!) מחברת Rhino Federated Computing לשיחה על עולם של חישוב מבוזר, פרטיות רפואית, הצפנות הומומורפיות ונוסטלגיה ל-SETI@home (ולא AI! טוב, גם…).
Au programme :OpenAI veut vous aider à comprendre votre situation médicaleGoogle repense votre inbox (à l'IA bien sûr)Le scandale Grok en dit beaucoup sur la modérationLe reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).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 épisode649 - La goutte qui fait déborder Grok (et le podcast) - ChatGPT Health, Gmail AI Inbox, modération---Liens :
Andrew Ng is one of the world's leading experts on AI, having co-founded DeepLearning.AI, serving as MGP of AI Fund, and as an adjunct professor at Harvard. In this special recap episode from the AWS Executive Summit, Ng sits down with Ishit Vachhrajani, AWS Global Head of Technology, AI, and Analytics for a unique 360-degree view of AI leadership challenges and opportunities organizations will face in 2026. Discover Ng's perspective on AI leadership as shaped by his practical startup experience, enterprise governance insights, and deep technical expertise, as well as his insights into how Amazon draws — and keeps — its leadership talent.
In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.Featuring:Chris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!
In this talk, Rileen, a Senior Computational Biologist and Cancer Data Scientist, shares his professional journey from physics and computer science to cutting-edge cancer genomics and applied machine learning. From his early work in alternative splicing models to deep learning in medical imaging, Rileen explains how biology, data science, and AI intersect to transform cancer research.TIMECODES:00:00 Rileen's Career Journey and Education06:14 Understanding Alternative Splicing in Computational Biology10:56 Modeling Alternative Splicing with Machine Learning14:52 Model Error Analysis and Transition to Cancer Research18:37 What Is Cancer? Mutational Theory Explained21:45 Cancer Treatments and Causes24:57 Cancer Genomics and Tumor Models28:59 Comparing Cell Lines and Tumor Samples (Multi-omics Analysis)32:32 Machine Learning Applications in Cancer Research35:38 Deep Learning for Medical Imaging and Pathology39:17 Data Privacy and Applied ML Course Projects42:50 Learning Outcomes and Future Plans46:36 Industry Experience in Pharmaceutical Research50:14 Day in the Life of a Computational Biologist55:02 Advice for Current ML Students58:40 Project Management and Challenges in Genomics1:02:23 Public Data Sets and Cancer Research in GermanyConnect with Rileen:- Twitter - https://x.com/RileenSinha- Linkedin - https://www.linkedin.com/in/rileen-sinha-a644692/- Github - https://github.com/OptimistixConnect with DataTalks.Club:- Join the community - https://datatalks.club/slack.html- Subscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/r?cid=ZjhxaWRqbnEwamhzY3A4ODA5azFlZ2hzNjBAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ- Check other upcoming events - https://lu.ma/dtc-events- GitHub: https://github.com/DataTalksClub- LinkedIn - https://www.linkedin.com/company/datatalks-club/ - Twitter - https://twitter.com/DataTalksClub - Website - https://datatalks.club/
In this podcast, Seerat discusses with Dr. Denise Pope about "Doing School" to "Deep Learning." Denise Pope is the co-founder of Challenge Success and the author of the books Doing School: How We Are Creating a Generation of Stressed-Out, Materialistic, and Miseducated Students and Overloaded and Underprepared: Strategies for Stronger Schools and Healthy, Successful Kids.
Au programme :La vraie star du CES : LEGO !TikTok US arrive, et personne n'est content ?Grok déshabille tout le monde, et surtout les femmes bien sûrLe reste de l'actualité : Elon Musk, L'IA et l'échafaudage pour le potentiel humain…Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).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 épisode 648 – On ne retient qu'un truc du CES: LEGO Smart Bricks---Liens :
We hear about it. But exactly what is AI?
פרק מספר 508 של רברס עם פלטפורמה, שהוקלט ב-30 בדצמבר 2025, קצת לפני שנגמרה השנה וקצת אחרי שבאמת התחיל סוג של חורף - אורי ורן לוגמים תה ומארחים את מישה פיינשטיין מחברת Bria AI כדי לדבר על איך עושים תמונות בצורה שבאמת התכוונתם (וגם קצת על חורף).
Dr. Shuvro Roy and Dr. Rosa Cortese discuss new ways to improve MS and MOGAD diagnosis, including how AI and imaging could enhance accuracy and influence future care. Show citations: Cortese R, Sforazzini F, Gentile G, et al. Deep Learning Modeling to Differentiate Multiple Sclerosis From MOG Antibody-Associated Disease. Neurology. 2025;105(6):e214075. doi:10.1212/WNL.0000000000214075
Andrew Ng, founder of Coursera and Deeplearning.AI, joins Edelman CEO Richard Edelman to discuss what it will take to build trust in artificial intelligence at scale. They explore how AI is moving from experimentation to everyday use, why media narratives and sensational headlines have led to public fear and misunderstanding of AI, and how leaders can ensure AI innovation delivers real value for stakeholders.
Au programme :Retour sur les tendances de septembre (disponible pour tous)Les trois grandes tendances de décembre (disponible pour tous)Les trois tendances émergeantes de décembre (disponible pour tous)(la suite de l'épisode sur Patreon !)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 épisode 647 – ETAT DES LIEUX – Décembre 2025---Liens :
Dr. Shuvro Roy talks with Dr. Rosa Cortese about new ways to improve multiple sclerosis and MOGAD diagnosis, including how AI and imaging could enhance accuracy and influence future care. Read the related article in Neurology®. Disclosures can be found at Neurology.org.
From all of us at Cloud Realities, MERRY CHRISTMAS!!!! Back in our December 2022 Christmas special, we explored the far reaches of reality, asking whether we live in a simulation and if that even matters. Now, we return to that question with fresh perspectives and new challenges…In this last Cloud Realities podcast of 2025, Dave, Esmee and Rob return to the simulation with Anders Indset, philosopher, author, and long-time friend of the show, revisiting a question that's been quietly running underneath everything we've discussed since 2022: If reality itself is information and what does that mean for being human? TLDR:00:58 – It's Christmas!08:32 – Major announcement and reflections on the Cloud Realities podcast journey15:32 – Celebrating three big wins: B2B Marketing Awards (Best Content, Best Customer Retention) and The Drum (Best Creative Audio)22:55 – Is there a next thing?23:30 – Welcoming Anders Indset, who shares his vision for practical philosophy and the future of human/AI co-evolution32:02 – Exploring the Quantum Economy and the Singularity Paradox58:10 – Deep dive into the Simulation Hypothesis, revisiting the 2022 discussion and Rob is again confused...01:27:45 – Anders enjoying Christmas in the Norwegian wilderness01:29:40 – Edit pointGuestAnders Indset: https://www.linkedin.com/in/andersindset/ or andersindset.comAdditional information: thequantumeconomy.com and tomorrowmensch.comHostsDave Chapmanger: https://www.linkedin.com/in/chapmandr/Esmee van de Gluhwein: https://www.linkedin.com/in/esmeevandegiessen/Rob Snowmananahan: https://www.linkedin.com/in/rob-kernahan/ProductionDr Mike van Der Buabbles: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapmanger: https://www.linkedin.com/in/chapmandr/ SoundBen Jingle: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Snow: https://www.linkedin.com/in/louis-corbett-087250264/ 'Cloud Realities' is an original podcast from Capgemini
Au programme :Cassim nous parle de son aventure pour « déGAFAMiser » sa vie et son environnement tech.Infos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cassim Montilla (Bluesky).Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 646 – Peut-on déGAFAMiser sa vie ---Liens :
We often think of Large Language Models (LLMs) as all-knowing, but as the team reveals, they still struggle with the logic of a second-grader. Why can't ChatGPT reliably add large numbers? Why does it "hallucinate" the laws of physics? The answer lies in the architecture. This episode explores how *Category Theory* —an ultra-abstract branch of mathematics—could provide the "Periodic Table" for neural networks, turning the "alchemy" of modern AI into a rigorous science.In this deep-dive exploration, *Andrew Dudzik*, *Petar Velichkovich*, *Taco Cohen*, *Bruno Gavranović*, and *Paul Lessard* join host *Tim Scarfe* to discuss the fundamental limitations of today's AI and the radical mathematical framework that might fix them.TRANSCRIPT:https://app.rescript.info/public/share/LMreunA-BUpgP-2AkuEvxA7BAFuA-VJNAp2Ut4MkMWk---Key Insights in This Episode:* *The "Addition" Problem:* *Andrew Dudzik* explains why LLMs don't actually "know" math—they just recognize patterns. When you change a single digit in a long string of numbers, the pattern breaks because the model lacks the internal "machinery" to perform a simple carry operation.* *Beyond Alchemy:* deep learning is currently in its "alchemy" phase—we have powerful results, but we lack a unifying theory. Category Theory is proposed as the framework to move AI from trial-and-error to principled engineering. [00:13:49]* *Algebra with Colors:* To make Category Theory accessible, the guests use brilliant analogies—like thinking of matrices as *magnets with colors* that only snap together when the types match. This "partial compositionality" is the secret to building more complex internal reasoning. [00:09:17]* *Synthetic vs. Analytic Math:* *Paul Lessard* breaks down the philosophical shift needed in AI research: moving from "Analytic" math (what things are made of) to "Synthetic" math [00:23:41]---Why This Matters for AGIIf we want AI to solve the world's hardest scientific problems, it can't just be a "stochastic parrot." It needs to internalize the rules of logic and computation. By imbuing neural networks with categorical priors, researchers are attempting to build a future where AI doesn't just predict the next word—it understands the underlying structure of the universe.---TIMESTAMPS:00:00:00 The Failure of LLM Addition & Physics00:01:26 Tool Use vs Intrinsic Model Quality00:03:07 Efficiency Gains via Internalization00:04:28 Geometric Deep Learning & Equivariance00:07:05 Limitations of Group Theory00:09:17 Category Theory: Algebra with Colors00:11:25 The Systematic Guide of Lego-like Math00:13:49 The Alchemy Analogy & Unifying Theory00:15:33 Information Destruction & Reasoning00:18:00 Pathfinding & Monoids in Computation00:20:15 System 2 Reasoning & Error Awareness00:23:31 Analytic vs Synthetic Mathematics00:25:52 Morphisms & Weight Tying Basics00:26:48 2-Categories & Weight Sharing Theory00:28:55 Higher Categories & Emergence00:31:41 Compositionality & Recursive Folds00:34:05 Syntax vs Semantics in Network Design00:36:14 Homomorphisms & Multi-Sorted Syntax00:39:30 The Carrying Problem & Hopf FibrationsPetar Veličković (GDM)https://petar-v.com/Paul Lessardhttps://www.linkedin.com/in/paul-roy-lessard/Bruno Gavranovićhttps://www.brunogavranovic.com/Andrew Dudzik (GDM)https://www.linkedin.com/in/andrew-dudzik-222789142/---REFERENCES:Model:[00:01:05] Veohttps://deepmind.google/models/veo/[00:01:10] Geniehttps://deepmind.google/blog/genie-3-a-new-frontier-for-world-models/Paper:[00:04:30] Geometric Deep Learning Blueprinthttps://arxiv.org/abs/2104.13478https://www.youtube.com/watch?v=bIZB1hIJ4u8[00:16:45] AlphaGeometryhttps://arxiv.org/abs/2401.08312[00:16:55] AlphaCodehttps://arxiv.org/abs/2203.07814[00:17:05] FunSearchhttps://www.nature.com/articles/s41586-023-06924-6[00:37:00] Attention Is All You Needhttps://arxiv.org/abs/1706.03762[00:43:00] Categorical Deep Learninghttps://arxiv.org/abs/2402.15332
In this episode of ACM ByteCast, our special guest host Scott Hanselman (of The Hanselminutes Podcast) welcomes ACM Fellow Dawn Song, Professor in Computer Science at UC Berkeley, Co-Director of Berkeley Center for Responsible Decentralized Intelligence (RDI), and Founder of Oasis Labs. Her research interest lies in AI safety and security, Agentic AI, deep learning, security and privacy, and decentralization technology. Dawn is the recipient of numerous awards including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, ACM SIGSAC Outstanding Innovation Award, and more than 10 Test-of-Time awards and Best Paper awards from top conferences in Computer Security and Deep Learning. She has been recognized as Most Influential Scholar (AMiner Award) for being the most cited scholar in computer security. Dawn is an IEEE Fellow and an Elected Member of American Academy of Arts and Sciences. She is also a serial entrepreneur and has been named on the Female Founder 100 List by Inc. and Wired25 List of Innovators. Dawn shares her academic journey in cybersecurity, which used to be a much smaller field and how the MacArthur Fellowship (aka the “Genius Grant”) and other prestigious recognitions enabled her to pursue impactful multidisciplinary research. Dawn and Scott cover a myriad of topics around Agentic AI, including current and future security vulnerabilities from AI-powered malicious attacks, Dawn's popular MOOC at RDI, and the associated AgentX-AgentBeats global competition (with more than $1 million in prizes and resources) focused on standardized, reproducible agent evaluation benchmarks to advance the field as a public good. AgentX-AgentBeats Agentic AI Competition Berkeley RDI Agentic AI MOOC
In this last episode of the special AI mini-series, we now explore the human side of transformation, where technology meets purpose and people remain at the center. From future jobs and critical thinking to working with C-level leaders, how human intervention and high-quality data drive success in an AI-powered world.This week Dave, Esmee , Rob sit down with Johanna Hutchinson, CDO at BAE systems about why data matters, the rise of Sovereign AI, and the skills shaping the intelligence age. TLDR00:55 Introduction of Johanna Hutchinson02:09 Explaining the State of AI mini-series with Craig06:01 Conversation with Johanna34:20 Weaving today's data tapestries with AI40:20 Going to a rave GuestJohanna Hutchinson: https://www.linkedin.com/in/johanna-hutchinson-95b95568/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/with co-host 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
As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.Featuring:Jason Beutler – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsor:Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at framer.com/design with code `PRACTICALAI` for a free month of Framer Pro.Upcoming Events: Register for upcoming webinars here!
Au programme :Deal Disney / OpenAI: tout comprendreVous pouvez parler à Photoshop dans ChatGPTEn Australie, l'interdiction des réseaux aux -16 ans devient une réalitéLe reste de l'actualité et le journal de l'IAInfos :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 épisode 645 - OpenAI et Disney: qui y gagne, qui y perd?---Liens :
Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. Featuring:Ramin Mohammadi – LinkedInChris Benson – Website, LinkedIn, Bluesky, GitHub, XDaniel Whitenack – Website, GitHub, XSponsors: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: Register for upcoming webinars here!
Au programme :Netflix veut Warner Bros., Paramount riposteL'UE inflige une amende de 120 millions à TwitterLa conduite autonome enfin en Europe?Le reste de l'actualitéInfos :Animé par Patrick Beja (Bluesky, Instagram, Twitter, TikTok).Co-animé par Cédric Ingrand (Twitter et Bluesky).Co-animé par Julien Lausson (Bluesky)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode épisode 644 – Qui va racheter Warner?---Liens :
Pedro Domingos, author of the bestselling book "The Master Algorithm," introduces his latest work: Tensor Logic - a new programming language he believes could become the fundamental language for artificial intelligence.Think of it like this: Physics found its language in calculus. Circuit design found its language in Boolean logic. Pedro argues that AI has been missing its language - until now.**SPONSOR MESSAGES START**—Build your ideas with AI Studio from Google - http://ai.studio/build—Prolific - Quality data. From real people. For faster breakthroughs.https://www.prolific.com/?utm_source=mlst—cyber•Fund https://cyber.fund/?utm_source=mlst is a founder-led investment firm accelerating the cybernetic economyHiring 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—**END**Current AI is split between two worlds that don't play well together:Deep Learning (neural networks, transformers, ChatGPT) - great at learning from data, terrible at logical reasoningSymbolic AI (logic programming, expert systems) - great at logical reasoning, terrible at learning from messy real-world dataTensor Logic unifies both. It's a single language where you can:Write logical rules that the system can actually learn and modifyDo transparent, verifiable reasoning (no hallucinations)Mix "fuzzy" analogical thinking with rock-solid deductionINTERACTIVE TRANSCRIPT:https://app.rescript.info/public/share/NP4vZQ-GTETeN_roB2vg64vbEcN7isjJtz4C86WSOhw TOC:00:00:00 - Introduction00:04:41 - What is Tensor Logic?00:09:59 - Tensor Logic vs PyTorch & Einsum00:17:50 - The Master Algorithm Connection00:20:41 - Predicate Invention & Learning New Concepts00:31:22 - Symmetries in AI & Physics00:35:30 - Computational Reducibility & The Universe00:43:34 - Technical Details: RNN Implementation00:45:35 - Turing Completeness Debate00:56:45 - Transformers vs Turing Machines01:02:32 - Reasoning in Embedding Space01:11:46 - Solving Hallucination with Deductive Modes01:16:17 - Adoption Strategy & Migration Path01:21:50 - AI Education & Abstraction01:24:50 - The Trillion-Dollar WasteREFSTensor Logic: The Language of AI [Pedro Domingos]https://arxiv.org/abs/2510.12269The Master Algorithm [Pedro Domingos]https://www.amazon.co.uk/Master-Algorithm-Ultimate-Learning-Machine/dp/0241004543 Einsum is All you Need (TIM ROCKTÄSCHEL)https://rockt.ai/2018/04/30/einsum https://www.youtube.com/watch?v=6DrCq8Ry2cw Autoregressive Large Language Models are Computationally Universal (Dale Schuurmans et al - GDM)https://arxiv.org/abs/2410.03170 Memory Augmented Large Language Models are Computationally Universal [Dale Schuurmans]https://arxiv.org/pdf/2301.04589 On the computational power of NNs [95/Siegelmann]https://binds.cs.umass.edu/papers/1995_Siegelmann_JComSysSci.pdf Sebastian Bubeckhttps://www.reddit.com/r/OpenAI/comments/1oacp38/openai_researcher_sebastian_bubeck_falsely_claims/ I am a strange loop - Hofstadterhttps://www.amazon.co.uk/Am-Strange-Loop-Douglas-Hofstadter/dp/0465030793 Stephen Wolframhttps://www.youtube.com/watch?v=dkpDjd2nHgo The Complex World: An Introduction to the Foundations of Complexity Science [David C. Krakauer]https://www.amazon.co.uk/Complex-World-Introduction-Foundations-Complexity/dp/1947864629 Geometric Deep Learninghttps://www.youtube.com/watch?v=bIZB1hIJ4u8Andrew Wilson (NYU)https://www.youtube.com/watch?v=M-jTeBCEGHcYi Mahttps://www.patreon.com/posts/yi-ma-scientific-141953348 Roger Penrose - road to realityhttps://www.amazon.co.uk/Road-Reality-Complete-Guide-Universe/dp/0099440687 Artificial Intelligence: A Modern Approach [Russel and Norvig]https://www.amazon.co.uk/Artificial-Intelligence-Modern-Approach-Global/dp/1292153962
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas
Machine learning using neural networks has led to a remarkable leap forward in artificial intelligence, and the technological and social ramifications have been discussed at great length. To understand the origin and nature of this progress, it is useful to dig at least a little bit into the mathematical and algorithmic structures underlying these techniques. Anil Ananthaswamy takes up this challenge in his book Why Machines Learn: The Elegant Math Behind Modern AI. In this conversation we give a brief overview of some of the basic ideas, including the curse of dimensionality, backpropagation, transformer architectures, and more.Blog post with transcript: https://www.preposterousuniverse.com/podcast/2025/11/24/336-anil-ananthaswamy-on-the-mathematics-of-neural-nets-and-ai/Support Mindscape on Patreon.Anil Ananthaswamy received a Masters degree in electrical engineering from the University of Washington, Seattle. He is currently a freelance science writer and feature editor for PNAS Front Matter. He was formerly the deputy news editor for New Scientist, a Knight Science Journalism Fellow at MIT, and journalist-in-residence at the Simon Institute for the Theory of Computing, University of California, Berkeley. He organizes an annual science journalism workshop at the National Centre for Biological Sciences at Bengaluru, India.Web siteAmazon author pageWikipediaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
The Twenty Minute VC: Venture Capital | Startup Funding | The Pitch
Dr. Andrew Ng is a globally recognized leader in AI. He is Founder of DeepLearning.AI, Executive Chairman of LandingAI, General Partner at AI Fund, Chairman and Co-Founder of Coursera. As a pioneer in machine learning Andrew has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world. Agenda: 03:19 What are the Biggest Bottlenecks in AI Today? 08:51 How LLMs Can Be Used as a Geopolitical Weapon 15:48 Should AI Talent Really Be Paid Billions? 29:07 Why is the Application Layer the Most Exciting Layer? 36:22 Do Margins Matter in a World of AI? 38:02 Is Defensibility Dead in a World of AI? 45:29 Will AI Deliver Masa Son's Predictions of 5% GDP Growth? 49:39 Are We in an AI Bubble? 57:31 Will Human Labour Budgets Shift to AI Spend?
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