POPULARITY
Categories
773 episodes with models
503 episodes with models
222 episodes with models
210 episodes with models
285 episodes with models
84 episodes with models
165 episodes with models
167 episodes with models
101 episodes with models
55 episodes with models
123 episodes with models
53 episodes with models
140 episodes with models
37 episodes with models
101 episodes with models
41 episodes with models
78 episodes with models
51 episodes with models
100 episodes with models
104 episodes with models
75 episodes with models
26 episodes with models
33 episodes with models
36 episodes with models
42 episodes with models
38 episodes with models
58 episodes with models
57 episodes with models
28 episodes with models
60 episodes with models
22 episodes with models
32 episodes with models
33 episodes with models
28 episodes with models
15 episodes with models
47 episodes with models
29 episodes with models
37 episodes with models
24 episodes with models
12 episodes with models
62 episodes with models
18 episodes with models
49 episodes with models
17 episodes with models
19 episodes with models
19 episodes with models
30 episodes with models
18 episodes with models
8 episodes with models
15 episodes with models
10 episodes with models
19 episodes with models
14 episodes with models
15 episodes with models
Send a textPart two of my interview with Barbara Adler is as juicy if not juicier than part one and I did not expect that. I start by laying out every single one of Epstein's 46 shell companies — the real estate holdings, the aviation companies, the offshore financing vehicles, the pass-through shells, and the master trust with 40 secret beneficiaries named for his birth year. I name the three people who ran his in-house accounting and compliance — Richard Kahn, Bella Klein, and Harry Beller — and ask why none of them have been brought in front of Congress when Bella literally pleaded the Fifth. I break down Liquid Funding Limited out of Bermuda that was loaded with the exact mortgage-backed securities that caused the 2008 financial crash — and then play you the clip of Epstein bragging about being on the phone with Bear Stearns and JP Morgan simultaneously during the crash FROM PRISON. Then Barbara and I go deeper than part one. She tells me about Naomi Campbell trafficking her best friend Sky to Russell Simmons — LSD, Bahamas weekends, threesomes, and how Russell would pay for their apartments and then replace them when they got boring. She brings up Vladislav Doronin and the mystery island he supposedly built for Naomi in the shape of a horus eye — there are architectural drawings in magazines BUT... I found out who Barbara's modeling agent was — Faith Cates who founded Next Model Management — and when I dug into the Epstein files what I found made my jaw drop. Faith had social emails with Epstein, invited models to his dinner parties, and he's telling her he's spending Thanksgiving with Trump and others in 2017 — years after his conviction. Epstein donated to her cancer charity and a tennis center where her son worked. And Faith is the agent who introduced Stacey Williams to Epstein — and Stacey is the woman who alleges Trump groped her at Trump Tower with Epstein watching and smiling. Jean-Luc Brunel owned 25% of Faith's company. I tell Barbara about Ruslana Korshunova — the Russian model who jumped from a ninth floor balcony in 2008 after visiting Epstein Island two years before. No drugs or alcohol in her system. Her mother believes she was murdered. I tell her about Karen Mulder — one of the biggest supermodels I connect Paul Marciano from Guess to Mohamed Hadid and explain how the shadow mansion network worked with girls. Barbara tells me about Epstein speaking to her directly — how he was non-emotional with a creepy smile and asked very specific questions about her upbringing and background. And what about the second Island...Full episode only available at Dishing Drama Dana Patreon, it's only $6.00 a month, join the fun! https://www.patreon.com/cw/DishingDramaWithDanaWilkeySupport the showDana is on Cameo!Follow Dana: @Wilkey_Dana$25,000 Song - Apple Music$25,000 Song - SpotifyTo support the show and listen to full episodes, become a member on PatreonTo send Dana information, show requests and sponsorships reach out to our new email: dishingdramadana@gmail.comDana's YouTube Channel
Video: Youtube. The world changed this week — and most people have no idea it happened.In this episode of AI With Honor — The Daily Download, I'm breaking down the biggest AI stories of the week in plain English, including the stories the mainstream media buried under politics and celebrity gossip. If you run a business, manage people, own real estate, or simply want to stay ahead of the most disruptive technology shift in human history — this is the show you need to be watching every single day.I'm Connor MacIvor — retired LAPD officer, 25-year Santa Clarita real estate veteran, and AI Growth Architect. I lost 135 pounds of fat, walked away from alcohol, and rebuilt my life around discipline, systems, and relentless execution. Now I build AI automation systems for businesses through HonorElevate.com — and every day I translate what the smartest minds in the world are saying about AI into something you can actually use.No fluff. No hype. No agenda. Just the truth about what's happening — and what it means for your money, your job, and your future.
Brian Kippen is back after nearly four years to talk about an incredible period of growth and change at KAD Models. From teaching machining to acquiring a wire forming business, adding a MAM with automation, and managing three facilities across two coasts—all while raising a toddler. We dive into the cultural challenges of bringing precision work to a fast-paced prototype shop, the reality of machine automation ROI, and why delegation is harder than it sounds.Check out Brian's IG @kadmodels-----------------------------------------Help support the podcast www.patreon.com/withintolerancepodcast
In this powerful episode of The Mike Litton Experience, Mike sits down with entrepreneur and model manager Tina Rattigan, founder of Propel Models, to explore her incredible journey from Jamaica to building a purpose-driven modeling agency in the United States. Tina shares her inspiring story of resilience—growing up in Jamaica, moving to the U.S. at 21, navigating cultural shifts, overcoming personal challenges, and ultimately launching Propel Models with a mission to protect, mentor, and elevate talent in the modeling industry. After witnessing firsthand the gaps in model representation—especially through her daughter's international modeling experience—Tina redefined what leadership in fashion should look like. Today, she leads with integrity, strong boundaries, and a deep commitment to guiding models mentally, emotionally, and professionally. In this episode, viewers will discover: • The power of resilience and reinvention• Why boundaries are essential in leadership and business• Behind-the-scenes truths about the modeling industry• How to build a purpose-driven company from experience• What it takes to protect and propel young talent globally• Lessons in entrepreneurship, motherhood, and vision Tina Rattigan is not just building a modeling agency—she's building confidence, strength, and sustainable careers. If you're an aspiring entrepreneur, creative professional, model, parent, or leader, this conversation will challenge and inspire you. Don't forget to LIKE, COMMENT, and SUBSCRIBE to The Mike Litton Experience for more powerful conversations with leaders, innovators, and difference-makers from around the world. Turn on notifications so you never miss an episode! Welcome to The Mike Litton Experience Podcast! Mike is passionate about being a father, a teacher, a Realtor, an investor and a leader! Everyone has a story and our passion is to help them tell it! We never want you to miss an episode, so please be sure to subscribe. Could we ask you for two quick favors? If you like our program, please tell a friend. Wherever you get your podcasts please leave us a rating. It helps us to connect with quality people just like you! Reach out to Mike on Instagram @themikelittonexperience. Thank you for joining us for The Mike Litton Experience! Who you work with matters and we would be honored to interview with you or anyone you know to sell your home! If you have questions, please reach out text or call 760-522-1227. Thank you! #livinginsandiego, #movingtosandiego, #themikelittonexperience, #homesforsaleinsandiego, #mikelitton, #sellahomeinsandiego, #buyahomeinsandiego, #toptipstogetthebestoffer #themikelittonexperience
In this episode, we discuss… What science really is, both as body of knowledge and a constantly evolving process Why one study is never enough and the importance of multiple methods, reproducibility, and scientific consensus over time When "gold standard" research falls short and why fields like nutrition require more flexible, creative approaches Science's built-in caution and how new ideas face a high bar of proof, slowing acceptance but strengthening reliability How doubt is manufactured, from the tobacco era to climate science, using fringe voices to challenge strong consensus The role of ideology, and how "freedom" narratives can shape public resistance to scientific evidence Acting without certainty and why we must make public health decisions even when data isn't 100% complete AI and misinformation and the promise and risk of tools like OpenAI in shaping how we consume science Naomi Oreskes Henry Charles Lea Professor of the History of Science Affiliated Professor of Earth and Planetary Sciences ON LEAVE SPRING 2026 emailoreskes@fas.harvard.edu Faculty Assistant: Yaz Alfata Primary Areas of Research: Agnotology; the Political Economy of Scientific Knowledge; History and Philosophy of Earth and Environmental Sciences, Science and Technology Studies (STS); the History of Climate Change Disinformation Secondary Areas of Interest: Science Policy, Science and Religion, Women and Gender Studies Naomi Oreskes is Henry Charles Lea Professor of the History of Science and Affiliated Professor of Earth and Planetary Sciences at Harvard University. A world-renowned earth scientist, historian and public speaker, she is the author of the best-selling book, Merchants of Doubt (2010) and a leading voice on the role of science in society, the reality of anthropogenic climate change, and the role of disinformation in blocking climate action. Oreskes is author or co-author of 9 books, and over 150 articles, essays and opinion pieces, including Merchants of Doubt (Bloomsbury, 2010), The Collapse of Western Civilization (Columbia University Press, 2014), Discerning Experts (University Chicago Press, 2019), Why Trust Science? (Princeton University Press, 2019), and Science on a Mission: American Oceanography from the Cold War to Climate Change, (University of Chicago Press, 2021). Merchants of Doubt, co-authored with Erik Conway, was the subject of a documentary film of the same name produced by participant Media and distributed by SONY Pictures Classics, and has been translated into nine languages. A new edition of Merchants of Doubt, with an introduction by Al Gore, was published in 2020. Her latest book, with Erik Conway, is The Big Myth: How American Business Taught Us to Loath Government and Love the Free Market, which has been translated to French and Italian. Oreskes wrote the Introduction to the Melville House edition of the Papal Encyclical on Climate Change and Inequality, Laudato Si, and her essays and opinion pieces on climate change have appeared in leading newspapers around the globe, including The New York Times, The Washington Post, The Los Angeles Times, the Times (London), and Frankfurter Allegemeine. Her numerous awards and prizes include the 2019 Geological Society of American Mary C. Rabbitt Award, the 2016 Stephen Schneider Award for outstanding Climate Science Communication, the 2015 Public Service Award of the Geological Society of America, the 2015 Herbert Feis Prize of the American Historical Association for her contributions to public history, and the 2014 American Geophysical Union Presidential Citation for Science and Society. She is a fellow of the American Geophysical Union, the Geological Society of America, the American Association for the Advancement of Science, the American Academy of Arts and Sciences, and the American Philosophical Society. In 2018, she was named a Guggenheim Fellow, and in 2019 she was awarded the British Academy Medal. In 2024, she was awarded the Nonino Foundation "Maestro del Nostro Tempo" award. And in 2025, she was awarded the Volvo Environment Prize for her contributions in "shaping our understanding of how scientific knowledge is collectively constructed and addressing the challenges of misinformation in public discourse." Curriculum Vitae Select Publications The Big Myth: How American Business Taught Us to Loath Government and Love the Free Market, 2023 (Bloomsbury Press) Science on a Mission, 2021 (University of Chicago Press) Why Trust Science?, 2019 (Princeton University Press) Science and Technology in the Global Cold War, 2014 (MIT Press) The Collapse of Western Civilization: A View from the Future, 2014 (Columbia University Press) Collapse of Western Civilization Home Page Merchants of Doubt: How a Handful of Scientists Obscured the Truth on Issues from Tobacco Smoke to Global Warming, 2010. (New York: Bloomsbury Press.) Merchants of Doubt Home Page Merchants of Doubt at the 52nd New York Film Festival, October 8, 2014 Models in Environmental Regulatory Decision Making, Whipple, Chris et al. (fourteen additional authors), 2007. (Washington DC: National Academy of Sciences National Research Council, Board on Environmental Studies and Toxicology), 287 pp. The Rejection of Continental Drift: Theory and Method in American Earth Science, 1999. (New York: Oxford University Press) In the Media Testimony Before the US Senate Budget Committee, Twitter, June 22, 2023 Science Isn't Always Perfect - But We Should Still Trust It, TIME, October 2019 Climate Change Will Cost Us Even More Than We Think, New York Times, October 2019 Escaping Extinction, World Economic Forum, January 2019 Yes, ExxonMobil Misled the Public, LA Times, September 2017 What Exxon Mobil Didn't Say About Climate Change, The New York Times, August 2017 Assessing ExxonMobil's Climate Change Communications (177-2014), Environment Research Letters, August 2017 Scientists Dive Into the Political Fray, PBS Newshour, April 2017 How to Break the Climate Deadlock, Scientific American, November 2015 What Did Exxon Know?, On The Media, November 2015 The Pope and the Planet, The Open Mind, November 2015 Exxon's Climate Concealment, New York Times, October 2015 Naomi Oreskes, a Lightning Rod in a Changing Climate, New York Times, June 2015 A Chronicler of Warnings Denied, New York Times, October 2014 Merchants of Doubt, Documentary from Sony Pictures Classics, 2014 "Why We Should Trust Scientists," TED Talk, June 2014 The 2014 Vatican Environmental Summit: Can a Pope Help Sustain Humanity and Ecology?, New York Times Interview for Cosmologics Magazine Prof. Oreskes discusses her book, "The Collapse of Western Civilization..." Naomi Oreskes - The Collapse of Western Civilization, Inquiring Minds Podcast "A View From the Climate Change Future," National Public Radio via Boston's WBUR Edited Volumes Oreskes, Naomi, ed., with Homer E. Le Grand, 2001. Plate Tectonics: An Insider's History of the Modern Theory of the Earth (Boulder: Westview Press), paperback edition February 2003. Edited Journal Volumes Oreskes, Naomi and James R. Fleming, eds. 2000. "Perspectives on Geophysics," Special Issue of Studies in the History and Philosophy of Modern Physics, 31B, September 2000.
Outsourcing podcast Learn more about this outsourcing podcast and Inside Outsourcing here: https://www.outsourceaccelerator.com/podcast/inside-outsourcing-podcast-series/ We're publishing the entire book, Inside Outsourcing, written by Derek Gallimore, on this podcast feed over the coming weeks. This episode: Episode 578 - Chapter 4.2.2 Outsourcing Service Models If you're tuning in for the first time, go back to Episode 563 to catch the book from the beginning. — — — About the book: Inside Outsourcing: How Remote Work, Offshoring & Global Employment is Changing the World Outsourcing has long been criticized for low wages and poor conditions, yet nearly every major company—from Apple to JP Morgan—depends on it. Once a $200 billion industry limited to multinationals, outsourcing is now accessible to small and mid-sized firms, offering up to 70% savings and access to a global talent pool of 2 billion professionals. Inside Outsourcing unpacks the industry's evolution, misconceptions, and future—offering clear insights and practical guidance for businesses ready to harness outsourcing as a driver of innovation and growth. NOTES on listening: We will be publishing full chapters of the book over the coming weeks. Start with Ep 563 first, and tune in next week for the following chapter(s). Please share with your friends. Get a copy of the book: You can buy a full version of Inside Outsourcing for yourself from Amazon - with audio, Kindle, and hardcopy available. https://www.amazon.com/Inside-Outsourcing-Offshoring-Employment-Changing/dp/1739623002 Please leave a review: If you've listened to the book and enjoyed it, please support us by leaving a review on Amazon or Goodreads. https://www.amazon.com/Inside-Outsourcing-Offshoring-Employment-Changing/dp/1739623002 or https://www.goodreads.com/book/show/61210866-inside-outsourcing Enjoy. Start Outsourcing Outsource Accelerator can help you transform your business with outsourcing. Get in touch now, or use one of the resources below. Business Process Outsourcing Get a Free Quote - Connect with 3 verified outsourcing experts & see how outsourcing can transform your business Book a Discovery Call - See how Outsource Accelerator can help you enhance your company's innovation and growth with outsourcing The Top 40 BPOs - We have compiled this review of the most notable 40 Business Process Outsourcing companies in the Philippines Outsourcing Calculator - This tool provides you with invaluable insight into the potential savings outsourcing can do for your business Outsourcing Salary Guide - Access the comprehensive guide to payroll salary compensation, benefits, and allowances in the Philippines Outsourcing Accelerator Podcast - Subscribe and listen to the world's leading outsourcing podcast, hosted by Derek Gallimore Payoneer - The leading global B2B payment solution for the outsourcing industry About Outsource Accelerator Outsource Accelerator is the world's leading outsourcing marketplace and advisory. We offer the full spectrum of services, from light advisory and vendor brokerage, though to full implementation and fully-managed solutions. We service companies of all sectors, and all sizes, spanning all departmental verticals. Outsource Accelerator's unique approach to outsourcing enables our clients to build the best teams, access the most flexible solutions, and generate the best results possible. Our unrivaled sector knowledge and market reach mean that you get the best terms and results possible, at the best ALL-IN market-leading price - guaranteed.
In this episode of Mark & Pete, we explore a fascinating development in modern science: how mathematical models are helping scientists identify genetic material that could dramatically improve the resilience of global food crops.Researchers are increasingly using advanced mathematics, computational biology, and genetic analysis to pinpoint the specific genes responsible for drought tolerance, disease resistance, and environmental adaptability in crops such as wheat, rice, and maize. The goal is simple but crucial: strengthen the world's food supply in the face of climate change, population growth, and unpredictable agricultural conditions.But this technological breakthrough raises bigger questions. When mathematics begins guiding genetic discovery, are we witnessing the next great leap in agricultural science—or are we stepping into a new era where humanity attempts to redesign the natural world?In this episode we unpack how mathematical modelling, genetics, and agricultural science intersect, and why this approach is rapidly becoming one of the most powerful tools in modern crop research. From predictive algorithms that identify useful genetic traits to data-driven plant breeding, the science behind food security is becoming increasingly mathematical.At the same time, we ask an important cultural and philosophical question: what does stewardship of creation look like in an age of genetic precision? The Bible speaks of humanity being placed in the garden “to work it and keep it.” Does modern genetic science fulfil that mandate—or challenge it?This conversation brings together science, ethics, agriculture, and faith, offering a thoughtful look at how technological innovation intersects with biblical ideas about stewardship, responsibility, and wisdom.If you are interested in food security, agricultural science, genetics, biotechnology, climate resilience, and the Christian perspective on science, this episode provides a clear and engaging discussion of one of the most important developments shaping the future of global food production.Keywords:crop resilience genetics, mathematical models genetics, food crop resilience science, agricultural genetics research, genetic material crops, drought resistant crops research, crop breeding algorithms, biotechnology agriculture, global food security science, mathematics in biology, computational genetics agriculture, Christian perspective on science, stewardship of creation agriculture
Welcome back to the NASM Peak Physique Podcast! In this inspiring episode, IFBB Olympian & Master Trainer Andre Adams sits down with featured guest, 8-time Figure Olympian and renowned fitness coach, Wendy Fortino. Get ready to dive deep into longevity, building an athletic foundation, and how to evolve your physique without sacrificing your edge.
Episode 109 - All Models Are Wrong But Some Are Random by Dan Vacanti & Prateek Singh
Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart BMW USA SHOP LEAK POINTS TO 2027 LINEUP https://evne.ws/4081MUf TESLA BERLIN RUNS HALF FULL AS UNION ROW SIMMERS https://evne.ws/4d4gL9g T&E: LOCAL BATTERIES COULD CUT COST GAP https://evne.ws/3Na5t94 TRIBUNAL BACKS 5% VAT ON SOME PUBLIC CHARGING https://evne.ws/4bl4PPi SKODA OPENS €205M CTP BATTERY PLANT IN CZECHIA https://evne.ws/3N2pBK9 MG CLOSES IN ON EUROPEAN FACTORY PLAN https://evne.ws/4slQRCu CITROËN UPDATES C5 AIRCROSS PHEV FOR EURO 7 https://evne.ws/4u7vBC3 CANADIAN TRIAL PEGS ELECTRIC SEMI SAVINGS AT $157,126 https://evne.ws/4rMIKiv DENZA D9 ELECTRIC MPV ARRIVES IN AUSTRALIA https://evne.ws/46yDNRY CHINESE CAR BRANDS SPLIT US BUYERS https://evne.ws/4aMajm3
Guest: Drs. Shuibing Chen and Hans Clevers, members of the Steering Committee for the ISSCR Consortium on Advanced Stem Cell-Based Models in Drug Discovery and Development, discuss the need to accelerate the responsible integration of stem cell–derived models into preclinical drug development. Their conversation reflects growing regulatory and policy momentum around new approach methodologies (NAMs) and underscores the importance of rigorous standards, regulatory alignment, and cross-sector collaboration to improve reproducibility and advance more predictive, human-relevant therapies. Building on its long-standing leadership in global standards, ethics, and policy, the ISSCR is uniquely positioned to convene industry, academia, and regulators around this effort. The initiative also reflects the Society's expanding industry engagement, with industry membership increasing nearly 180% over the past five years – creating new opportunities for strategic partnerships to address shared scientific and translational challenges. Featured Products and Resources: Learn how organoids can be used to expand clinical applications of diseases and disorders. Get a free wallchart showing how organoids are used as model systems to study infectious diseases, cancer, congenital disorders, and tissue regeneration. The Stem Cell Science Round Up Treating Frailty with Stem Cells – In a clinical trial, mesenchymal stem cell therapy improved walking distance and physical function in older adults with frailty. Combined Bone & Bone Marrow Organoids – Researchers developed a scalable iPSC-derived bone marrow organoid that models human lympho-myeloid hematopoiesis and disease. CAR-NK Progenitors Prevent Relapse – Engineered pluripotent stem cell–derived CAR-expressing NK progenitor cells reduced minimal residual disease and prevented relapse in leukemia models following chemotherapy. Whole-Body Single-Cell Mapping – Scientists have developed a 3D single-cell-resolution map of mouse organs and the whole neonatal body. Photo Reference: Courtesy of Drs. Shuibing Chen and Hans Clevers Subscribe to our newsletter! Never miss updates about new episodes. Subscribe
Les fondateurs de Presage défendent une vision radicalement différente de l'intelligence artificielle. Selon eux, les World Models représentent une voie plus frugale, plus intelligente et plus adaptée aux enjeux industriels que les IA génératives actuelles.Interview : Benjamin Rey, CEO de Presage et Arthur Chevalier, CTO de PresagePunchlinesUn World Model comprend les conséquences de ses actions.Un LLM n'a pas une vraie compréhension du monde.Les infrastructures cloud ne peuvent plus être gérées uniquement par des humains.Les World Models sont plus rapides et plus frugaux que les LLM.La recherche sur les LLM est finie.Qu'est-ce qu'un World Model et en quoi cela diffère-t-il d'un LLM ?Un World Model est une intelligence artificielle capable de comprendre les conséquences de ses actions. Contrairement à un LLM qui prédit des mots ou génère du texte, un World Model apprend les lois du monde dans lequel il évolue. Un LLM est une très bonne interface entre l'humain et la machine, mais il ne comprend pas réellement le fondement de ce qu'il génère. Le World Model, lui, comprend pourquoi une action produit un effet. Il peut simuler l'état futur d'un système après une décision, ce qui change profondément sa capacité à raisonner.Pourquoi appliquer les World Models au cloud ?Le cloud est devenu extrêmement complexe. Il faut gérer la cybersécurité, les coûts, la consommation énergétique, la configuration de centaines de services et surveiller en permanence des dizaines de paramètres. Aujourd'hui, des agents autonomes prennent des décisions 24h/24 sur les infrastructures. Les équipes techniques perdent en contrôle et ne savent pas toujours quand ni pourquoi une infrastructure casse. Notre ambition est d'utiliser les World Models pour simuler les conséquences d'une action avant qu'elle ne soit exécutée. Un modèle peut prédire en quelques millisecondes l'état futur d'une infrastructure après une modification. Cela permet d'apporter plus de contrôle, plus de sécurité et moins de stress aux équipes.Les World Models sont-ils une alternative aux LLM ?Nous pensons que oui, et même une alternative européenne crédible. Les LLM sont une excellente interface homme-machine, mais ils ont un plafond de verre. Ils consomment énormément d'énergie, nécessitent des milliards d'investissements et ne comprennent pas réellement les lois physiques du monde. Les World Models, eux, nécessitent moins de données, moins d'énergie à l'entraînement et aucune énergie à l'inférence pour produire une prédiction. Nous pensons qu'il faut réduire le rôle des LLM à l'interface et confier l'intelligence décisionnelle à des systèmes plus frugaux et plus capables de comprendre le monde réel.Quelles sont vos ambitions avec Presage ?Nous avons levé 1,2 million d'euros pour accélérer le développement de notre premier modèle, Cloud One. Notre approche est très appliquée : nous travaillons déjà avec des partenaires et nous visons des modèles en production chez des clients dès le premier trimestre. À terme, les World Models peuvent s'appliquer à bien d'autres domaines : voitures autonomes, médical, BTP… Partout où un système doit comprendre un environnement et agir dedans, cette technologie peut faire la différence.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Welcome back to Blowing the Froth Off, the show were we hear from YOU, our beloved Frothies. One of the great stitch ups of all time.... Clutz and D'Arc got asked to attend an event with Budgy Smuggler and ended up being runway models.Leave us a message here: https://www.speakpipe.com/BloodyBrilliantbeers Hosted on Acast. See acast.com/privacy for more information.
One of the most common dilemmas facing entrepreneurs today is what comes first: making the money or mastering the mindset to keep it? Much like the age-old "chicken or the egg" riddle, these two pillars of business are deeply interconnected, feeding into one another to create a thriving ecosystem, and Jenni and I are breaking it all down for you in this one. Today we look at where you should start in terms of a self-audit, how the three essential skills of money help you identify exactly where you should be pouring your energy based on the current stage of your business, and so much more. Whether you are a brand-new creator building from scratch, a seasoned pro looking to scale without burnout, or a leader trying to determine why your high revenue isn't translating into profit, this episode will light the way for what to do next! Want my Business Profitability Playbook? Come follow me on IG and DM me PROFIT and I'll send it over! And don't forget, if you want to be the first to know when Jenni reopens the doors to her monthly meditation membership, The InnerStellar Collective? If you're craving more intuition, mindfulness, and intentional space in your life, join the waitlist here. You'll be the first to hear what's coming next - go to www.bbdcoaching.com/innerstellarcollective. ✨ If you haven't yet signed up for my free weekly newsletter for online experts, The Digital CEO Weekly, you can sign up now and get it delivered straight to your inbox every Monday morning at www.jameswedmore.com/newsletter. Hey there, Digital CEO! If you're loving this episode and you know this is your year to finally build, launch, or scale your digital business the right way — then I've got something for you. Business By Design, my signature program that gives you everything you need to design a leveraged, profitable digital product business, only opens once a year… If you want to be the FIRST notified when doors are open, you can get on the waitlist for BBD 2026 right now. That way, you'll be the first to know when we open enrollment again (and trust me, you do not want to miss it!). Head to www.businessbydesign.net/ and join the waitlist today! Snap a screenshot of the episode playing on your device, post it to your Instagram Stories and tag us, @jameswedmore and @jenniwedmore. We'd love to hear what resonated with you the most from this episode and especially what you want covered in future ones! In this episode you'll hear: Jenni's inspiring story of launching her dream membership that was 15 years in the making Why I have zero interest in hearing you're "bad at sales" if you aren't willing to put in the 15-minute daily reps The profit margin to aim for early on in business, and the specific reason I tell people to avoid in-person hires until they hit $500k Why your business will never actually give you financial freedom, and the one thing you must do with your cashflow to actually get it My personal philosophy on why money left sitting in a business account is a liability that will always find a way to get spent A scary realization that if you have to talk to every lead for an hour to sell a digital course, your business isn't actually scalable How to use recurring and renewable revenue models to stop feeling like you're only one bad launch away from your business going under Why "getting rich fast" is the literal death of financial freedom, and how to master the habits that actually build a portfolio What can help stop you from freaking out over every algorithm change that comes at us For full show notes and links, visit: www.mindyourbusinesspodcast.com/blog/803
Enterprise IT spending is projected to reach $4.5 trillion by 2026, but this growth is concentrated in software, cloud services, and AI infrastructure for large organizations, according to HG Insights and Omdia research cited by Dave Sobel. The system integration market is positioned to approach $950 billion in 2025, with enterprises working with an average of 6.3 technology partners. A substantial surge in AI-optimized server sales, as reflected in Dell Technologies' reported 342% year-over-year increase in revenue for those systems, is reshaping supply chains and vendor dynamics, leading to shortages of DRAM, SSDs, and hard drives. Underlying this development are volatile component costs. DRAM prices have doubled quarter over quarter, and both Micron Technologies and Western Digital have indicated they are sold out for 2026. HP reports that RAM now constitutes 35% of new PC materials costs, up dramatically from 18% the previous quarter. Such cost shifts are creating downstream risks for managed service providers (MSPs) with fixed-price agreements, as the economic assumptions underpinning many contracts—stable hardware prices and predictable cloud costs—no longer hold. The episode also highlights an increase in application sprawl and a widening gap between IT budgets and other operational costs. A Torii report shows large enterprises use over 2,191 applications on average, with more than 61% bypassing formal IT approvals, resulting in unmanaged security and compliance exposure. Additionally, 80% of small businesses report rising energy costs that directly compete with IT budget allocations. Industry analysis from Jefferies and Boston Consulting Group signals that AI and automation are not viewed uniformly as productivity boosters and may compress revenue models in both Indian and domestic IT services sectors. The practical implication for MSPs is the urgent need to audit and reprice contracts related to hardware procurement and refresh cycles, clearly documenting and communicating current cost realities with clients. Dave Sobel stresses reframing device lifecycle extensions as a security risk rather than a cost-saving measure and warns against selling clients on speculative AI market projections. The advice is to focus on specific, scoped use cases and to structure agreements that accurately reflect volatility in component costs and the operational burden of application sprawl, ensuring financial and legal accountability as the IT services landscape evolves. 00:00 $4.96T IT Spend Surge Bypasses SMBs as AI Infrastructure Captures Enterprise Budgets 03:58 Dell's $43B AI Server Backlog Triggers DRAM Shortage, Repricing Downstream Hardware 05:52 AI Shrinks IT Services Revenue Model; MSPs Face Contested Implementation Role This is the Business of Tech. Supported by:
Rob and Vinnie welcome Danny Hall begin a multi-episode discussion looking at toxic church environments. How has the “church growth” and “mega church” model (since the 1970s) impacted the modern church? What should a healthy church leader look like? How important is self-awareness for the church leader? This is part 1 of a conversation that will talk about cultivating a healthy church environment and how to understand church hurt and church abuse. Check us out: https://www.determinetruth.com/ Danny Hall: danny@dhallconsult.com Great Resources on the topic of Creating Healthy Churches A Church Called Tov (Scot McKnight) https://www.amazon.com/Church-Called-Tov-Goodness-Promotes/dp/1496446003/ref=tmm_hrd_swatch_0?_encoding=UTF8&dib_tag=se&dib=eyJ2IjoiMSJ9.4lBAQzf3oJglpTj_7R8NbAeOg0H2oH4CTgx81Cm9okZZVtD9VFcS1uSUfVV2EQm5KZL1himBpHsyFB4D_Gifo4cf1QusTB-POg2TVGG7LdGmQvQa0IB928VE-Lzebn0QaYbWTVGVFLpXeUIBI_xAwisMWdvmpzjWJxaEPeX_KDzkLcEidFqxV9x2KN137nu9_VqW_lpT5_tSt6oq8-Jdy9yqaU0SHRxzumNuhx47RWQ.FqeuaDuA2RxUSi8NLD1Eu9aVNCvxijZDHQxchJMDJm0&qid=1772398542&sr=8-1 Something's Not Right: Decoding the Hidden Tactics of Abuse--and Freeing Yourself from Its Power (Wade Mullens) https://www.amazon.com/dp/1496444701/ref=mes-dp?_encoding=UTF8&pd_rd_w=DfllH&content-id=amzn1.sym.476b1b7d-c787-4147-8a3c-fdef209103a1&pf_rd_p=476b1b7d-c787-4147-8a3c-fdef209103a1&pf_rd_r=0KK0SC6CEWNJ2Q64975X&pd_rd_wg=GCNhP&pd_rd_r=79c691b9-0dac-456b-bda2-afdb8d5268e5 When Narcissism Comes to Church (Chuck DeGroat) https://www.amazon.com/dp/1514005093/ref=mes-dp?_encoding=UTF8&pd_rd_w=zdSwU&content-id=amzn1.sym.476b1b7d-c787-4147-8a3c-fdef209103a1&pf_rd_p=476b1b7d-c787-4147-8a3c-fdef209103a1&pf_rd_r=WKKWWGSF6Y2GYRHQ8926&pd_rd_wg=mFZQA&pd_rd_r=a6182de3-e16f-4416-9ef7-e30aa5043369 When the Church Harms God's People (Diane Langberg) https://www.amazon.com/dp/1587436450/ref=mes-dp?_encoding=UTF8&pd_rd_w=uVPPK&content-id=amzn1.sym.476b1b7d-c787-4147-8a3c-fdef209103a1&pf_rd_p=476b1b7d-c787-4147-8a3c-fdef209103a1&pf_rd_r=CAM1FBFN0J7Y0RS0HF0V&pd_rd_wg=KaJ0d&pd_rd_r=a0246e35-7d3f-4feb-89db-facae6fa4a8a FOLLOW THE PODCAST Subscribe to be notified of our new episodes (each Monday). Want to help us expand the Gospel of the Kingdom? Leave a review, “like” the podcast, or share it with others. CONNECT WITH DETERMINETRUTH MINISTRIES The Determinetruth Podcast is a ministry of Determinetruth Ministries. We offer free resources to equip pastors, leaders, and the body of Christ in the US and worldwide for service in the kingdom of God. You can visit us online at https://www.determinetruth.com SUPPORT DETERMINETRUTH MINISTRIES Determinetruth is a non-profit 501(c)(3), and relies completely on the financial support of our partners around the world. Please consider partnering with us and making a tax-deductible donation https://tithe.ly/give_new/www/#/tithely/give-one-time/3648601 Want a FREE CHAPTER from Rob's latest book? Sign up for email updates from Determinetruth. https://mailchi.mp/5672d33f2b95/dt-podcast Music: “Love is Against the Grain” (Dime Store Prophets) #megachuch #churchgrowth #churchhurt #abuse #trauma #deconstruction #exvangelical #thechurch #ecclesiology #Fellowship #Mutual encouragement #Service #Corporateworship #pastors #authority #housechurch
AI products are shipping faster than ever. But shipping isn't impact. The teams pulling ahead aren't the ones with the best models — they're the ones who can prove their product moves the business. This edition is about that gap. How to measure what matters, where the biggest barriers to impact are hiding, and what the latest research says about getting AI products to actually drive growth. Because the real competitive advantage isn't AI. It's knowing whether your AI is working.What You'll Learn in This EditionThis edition cuts through the noise to focus on the measurement gap — the difference between shipping AI and proving AI drives growth.* The Power/Speed/Impact/Joy bullseye — a calibration framework for AI products that actually drive growth* A Nature paper reveals why removing friction from AI may be destroying the learning your team needs* John Maeda on why design teams are being hollowed out — and why PMs are next* Benedict Evans on why even OpenAI can't solve product-market fit with capability alone* Research that should change how your team thinks about AI-assisted skill buildingThanks for reading Product Impact | AI Strategy, Value Creation, AI UX! This post is public so feel free to share it.Episode 1: Why Your AI Metrics Are Lying to You - Framework for improving AI product performanceYour AI product might be fast, capable, and technically impressive — and still not drive the growth your business needs. In this episode, Brittany Hobbs and I introduce the Power, Speed, Impact, and Joy bullseye — a calibration framework borrowed from F1 racing. The teams winning aren't shipping more features. They're measuring different things entirely. We break down a three-layer eval approach and why most completion metrics are hiding the signals that matter.“Success does not mean satisfaction. If someone stops engaging, does that mean they solved their problem — or that they were frustrated and left?” — Brittany HobbsListen on Spotify | Apple Podcasts | YouTubeYour Role Isn't Shrinking. It's Being Hollowed Out.John Maeda — Three major tech companies have restructured design teams into “prompt engineering pods.” Maeda's #DesignInTech 2026 calls it what it is: the elimination of design judgment from the product process. “When you replace a designer with a prompt, you don't lose the pixels. You lose the questions that should have been asked before anyone opened a tool.” This applies to product managers too — if your PM's job becomes prompt-wrangling instead of deciding what to build and why, you've automated the wrong layer. The roles aren't disappearing. The judgment inside them is.Featured Resource: Strategy for Measuring & Improving AI ProductsThe gap between what AI products ship and what they prove is where growth stalls. This framework moves teams from tracking activity — token counts, completion rates, session length — to defining and measuring the outcomes that actually drive business impact. Most teams ship features and assume engagement means success. It doesn't. If your team can't answer “is this AI feature making the business better?” with data, you're flying blind. The framework covers product discovery through scale, with concrete steps for building measurement into your AI product from the start — not bolting it on after launch.Read the full resource at ph1.caWaterfall: we'll build you a car in 18 months. Agile: here's a skateboard, we'll iterate. AI: here's a photorealistic render of a Lamborghini that doesn't start. We've never made it easier to build something that looks incredible and does absolutely nothing. AI development doesn't need more iteration — it needs someone asking “does this thing actually drive?”If your team is celebrating demos instead of outcomes, you're already behind the teams that measure first and ship second.Two years of capability gains. Almost no reliability improvement. This is the chart that should be on every product team's wall — because it explains why your AI demos brilliantly and fails in production. Capability without reliability isn't a product. It's a liability.If your team can't name which type of AI they're building, they can't measure whether it's working. Six categories that force precision. — Narain JashanmalProduct Impact ResourcesThe resources in this edition make one thing clear: the teams investing in measurement and deliberate friction are pulling ahead, while the ones chasing capability are stalling. These resources challenge the assumption that faster and more capable automatically means better outcomes.* Removing struggle from AI workflows destroys the learning that builds expertise. Teams should audit which friction to keep and which to cut. Against Frictionless AI — Inzlicht & Bloom in Nature* AI users learned 17% less without any efficiency gains. How your team uses AI matters more than whether they use it. How AI Impacts Skill Formation — Shen & Tamkin RCT* Two years of capability gains with only modest reliability improvement. The barrier to growth isn't what models can do — it's whether you can trust them. The Capability-Reliability Gap — Narayanan et al.* Polished AI outputs reduce critical evaluation by users. Build in friction points that force your team to think before accepting. (Anthropic studying its own product — read accordingly.) Anthropic AI Fluency Index* AI forces strategic clarity because you cannot delegate logic you haven't articulated. That's a feature, not a bug. Strategy as Protocol — Schwarzmann via Scaman* Six functional AI categories that sharpen how teams talk about what they're building. Precision in language is precision in product decisions. AI Taxonomy — Jashanmal* Mapping 50 AI startups across six pricing models reveals that pricing is a product decision, not a finance one. Get it wrong and adoption stalls regardless of quality. How to Price AI Products — Gupta* Wade Foster shut Zapier down for a week-long AI hackathon. Adoption went from 10% to 50% in five days. Adoption follows experience, not mandates. Zapier's Code Red HackathonProduct Impact NewsThis is the news that matters. Reliability failures are making headlines, benchmark credibility is collapsing, and even the market leaders can't prove product-market fit. The gap between what AI can do and what it can prove is widening, not closing.* ChatGPT missed diabetic ketoacidosis and respiratory failure in 52% of emergency cases. Suicide-risk alerts fired inconsistently. Reliability is the product, not a feature to ship later. ChatGPT Health Under-Triaged 52% of Emergencies* LLMs chose nuclear strikes in 95% of simulated crises. The nuclear taboo is no impediment to AI escalation — a stark reminder that evaluation stakes extend beyond product. AI Models Chose Nuclear Strikes in 95% of Simulated Crises* Google patent US12536233B1 lets it generate its own landing page from your product feed if yours scores below threshold. Own your experience or someone else will. Google Patented AI Landing Pages That Replace Your Storefront* 84% of the world has never used AI. Only 0.3% pay for it. The growth opportunity is massive — but only for teams that solve adoption, not just access. 84% of the World Has Never Used AI* 80% of ChatGPT users sent fewer than 1,000 messages in 2025. Even the market leader hasn't solved product-market fit. Capability alone isn't enough. OpenAI Has No Moat and Engagement an Inch Deep* RCT shows AI tools made experienced developers work faster and take on broader tasks — without measurable output gains. Speed is not productivity. METR: Experienced Devs Saw Zero Productivity Gain* NIST finds standard benchmarks conflate different performance measures. Models with different scores may perform identically in production. Build your own evals. NIST: AI Benchmarks Don't Measure What They Claim* MIT reviewed 300+ AI implementations: 85% failed, 91% of models degrade silently. The 5% that succeeded built measurement into the product from day one. 85% of AI Projects Fail, 91% of Models Degrade SilentlyKey takeawaysThe throughline across this edition is unmistakable: capability without measurement is theater. From the METR study showing zero productivity gains for experienced developers to MIT's finding that 85% of AI projects fail, the evidence converges on one point — the teams that win are the ones that prove their AI works.* Measure outcomes, not activity. Completion rates, token counts, and session length tell you your AI is running — not that it's working. Define what “working” means for your business before you ship.* Protect judgment. Automate everything else. The roles being hollowed out aren't the ones doing rote work — they're the ones asking the hard questions. If you're automating decisions instead of tasks, you're cutting the wrong layer.* Friction is a feature. Research consistently shows that removing struggle from AI workflows destroys learning and degrades skill. Build in the friction that keeps your team sharp, and strip out the friction that just wastes time.If your AI product ships well but you can't prove it drives growth, that's the gap PH1 closes. We help teams define what success looks like for AI experiences and build the measurement systems to prove it — from product discovery through scale. ph1.caThank you for supporting the Product Impact PodcastEvery episode tackles the gap between what AI products promise and what they actually deliver. Brittany and I bring in the builders, researchers, and leaders who are closing that gap — with frameworks, evidence, and hard-won lessons. If an episode shifted how you think about your product, share it. Follow the show so you never miss one. That's how we grow this community.* Episode 1: Why Your AI Metrics Are Lying to You* Vibe Coding Will Disrupt Product — Base44's Path to $80M* AI Trap: Hard Truths About the Job MarketBrowse all episodes at productimpactpod.com — filter by topic to find the episode that fits what you're working on right now. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit productimpactpod.substack.com
Scripture Lesson - Luke 10:38-42 Rev. Dr. Bowden
The episode centers on the evolving responsibility and risk allocation within cybersecurity distribution, with particular focus on Exclusive Networks' approach. Jason Beal, as president of Exclusive Networks North America, outlines their emphasis on a technical workforce, maintaining a 1:3 ratio of engineers to sales representatives. This structure is positioned to address the increasing complexity of cybersecurity and the demands faced by service provider partners, aiming to support solution integration and customer needs while clarifying each party's liability. Supporting this structure, Jason Beal identifies the role of the distributor as both an extension and enabler for MSPs and IT services companies. Distributors are expected to supplement partners' capabilities—whether technical, financial, or operational—without assuming technology failure risk, which remains with the original technology vendors. Discussion of shared responsibility models also distinguishes between sales success (customer adoption, retention) and risk management. Recent developments in cyber insurance are cited as having reduced the direct risk burden on MSPs, shifting much of the liability away from service providers toward technology creators, albeit within contractually defined limits. Adjacent to cybersecurity, the conversation addresses skill and adoption gaps prompted by rapid technical innovation, specifically referencing artificial intelligence (AI). Jason Beal quantifies educational efforts by highlighting a collaboration with Cal Poly San Luis Obispo, which has seen 100 students engaged to help address workforce shortfalls in cybersecurity and AI. Additionally, academic experience informs the importance of modernizing IT operations curricula to better reflect current business challenges, such as cloud, AI, and global supply chain impacts. For MSPs and IT service providers, implications include the growing necessity to audit core competencies and allocate resources strategically, leveraging distributors not just for sourcing products but for specialized expertise, integration, and operational support. Risk mitigation remains tied to understanding contract language, vendor accountability, and developments in cyber insurance. The pace of AI and other technology adoption requires continuous education and careful evaluation of both operational risk and the practical limitations of solutions promoted by the channel and distribution partners.
Dr. Ryan Mullins joins the podcast to discuss the problems of Creation and how models of God impact this question. Dr. Mullins' Website: https://www.rtmullins.com/ ----------------------------- SOCIAL MEDIA --------------------------- Twitter: https://twitter.com/AApologetics Facebook: https://www.facebook.com/adherentapol... Instagram: https://www.instagram.com/adherentapo... TikTok: https://www.tiktok.com/@adherentapologetics
While some models aim to explain qualitative features of brain activity, other aim to reproduce experimental data quantitatively. If so, model parameters must be adjusted to make the model predictions fit the experimental data. A complication is that in most neurobiological applications, there is not a unique best fit: many parameter combinations give equally good model fits. Recently, the guest, together with colleagues, made the tool AutoMIND to fit spiking network models to data.
AI Unraveled: Latest AI News & Trends, Master GPT, Gemini, Generative AI, LLMs, Prompting, GPT Store
Listen to Full Audio at https://podcasts.apple.com/us/podcast/scientist-vs-storyteller-benchmarking-gpt-5-2-claude/id1684415169?i=1000752001078
This is a free preview of a paid episode. To hear more, visit www.latent.spaceAIE Europe CFP and AIE World's Fair paper submissions for CAIS peer review are due TODAY - do not delay! Last call ever.We're excited to welcome METR for their first LS Pod, hopefully the first of many:METR are keepers of currently the single most infamous chart in AI:But every Latent Space reader should be sophisticated enough to know that the details matter and that hype and hyperbole go hand in hand in AI social media, because the millions of impressions that got, by people who don't understand or care about the nuances, disclaimers, and error bars, far outreaches the 69k views on the corrections by the people who actually made the chart:There's a lot of nuance both in making benchmarks (as we discovered with OpenAI on our SWE-Bench Verified podcast) and in extrapolating results from them, especially where exponentials and sigmoids are concerned. METR's Long Horizons work itself has known biases that the authors have responsibly disclosed, but go far too underappreciated in the pursuit of doomer chart porn.If you're interested in a short, sharable TED talk version of this pod, over at AIE CODE we were blessed to feature Joel twice, as a stage talk and with a longer form small workshop with Q&A:We also make sure cover some of METR's lesser known work on Threat Evaluation but also Developer Productivity, where 2x friend of the pod and now Zyphra founder Quentin Anthony was the ONLY productive participant!Finally, if you're the sort to read these show notes to the end, then you definitely deserve some pictures of Joel shredding the guitar at Love Band Karaoke which we mention at the end: Full Video PodTimestamps00:00 What METR Means00:39 Podcast Intro With Joel01:39 ME vs TR03:33 Time Horizon Origin Story04:56 Picking Tasks And Biases09:13 Time Horizon Misconceptions11:37 Opus 4.5 And Trendlines14:27 Productivity Studies And Explosions29:50 Compute Slows Progress30:47 Algorithms Need Compute32:45 Industry Spend and Data34:57 Clusters and Shipping Timelines36:44 Prediction Markets for Models38:10 Manifold Alpha Story43:04 Beyond Benchmarks Evals51:39 METR Roadmap and FarewellTranscript
The AI debate has been dominated by large language models used to power the likes of ChatGPT, Claude and Gemini. But could the next wave of AI look very different?Yes, some European AI watchers say. Attention is shifting to so-called “world models” — systems designed to build internal representations of how the world works, rather than simply predicting the next word in a sentence. A number of prominent researchers, including former Meta chief AI scientist Yann LeCun, have argued this approach could overcome some of the limitations of today's LLMs — and have launched startups to prove it.On this week's episode of the Sifted Podcast, host Freya Pratty is joined by senior reporters Daphné Leprince-Ringuet and Anne Sraders to unpack the hype around world models. What exactly are they? What real-world applications might they unlock? And with researchers like LeCun choosing to base new ventures in Europe, could this be an area where the continent builds a competitive edge in the global AI race?Sign up to our AI and deeptech newsletter here: https://sifted.eu/newsletters
BrainChip CEO Sean Hehir joins me to unpack where artificial intelligence is actually headed—and why the dominant “everything in the data center” narrative is incomplete.Most AI conversations fixate on massive models, GPU farms, and trillion-dollar infrastructure bets. This episode shifts the frame. Sean and I explore the structural reality that power consumption, latency, and grid constraints are forcing AI to decentralize—and what that means for founders, engineers, and the broader economy.Sean explains how neuromorphic computing and ultra-low-power silicon enable AI inference outside the data center—inside wearables, medical devices, drones, manufacturing systems, and even space applications. We examine why CPUs and GPUs aren't optimized for edge workloads, how custom silicon changes the economics, and why power efficiency isn't a side issue—it's the bottleneck that determines what scales.The conversation expands into workforce displacement, labor fluidity, productivity cycles, and whether technological acceleration inevitably creates unemployment crises—or simply reshuffles value creation again, as history repeatedly shows.This isn't a speculative futurism episode. It's a grounded look at model trends, infrastructure limits, and how companies survive inside a market moving at month-scale rather than decade-scale.The lesson isn't that AI replaces everything.It's that architecture determines outcomes.TL;DR* AI is centralizing in data centers—but it's also rapidly decentralizing to the edge* Power constraints will shape the next phase of AI more than hype cycles* Neuromorphic and event-driven silicon drastically reduce energy per compute* Edge AI enables medical wearables, safety detection, space systems, and industrial automation* Models are getting larger—but optimization techniques will shrink them into smaller form factors* Productivity gains historically displace tasks—not human adaptability* The future isn't about bigger servers—it's about smarter distribution* Lowest power per compute is a strategic advantage, not a marketing lineMemorable Lines* “Don't bet against humanity. We're very creative.”* “The future of AI isn't just in data centers.”* “Power isn't a feature—it's the constraint.”* “If you're the lowest power solution, you will always have customers.”* “Architecture decides what becomes possible.”GuestSean Hehir — CEO of BrainChipTechnology executive leading the commercialization of neuromorphic AI processors focused on ultra-low-power edge inference. Oversees BrainChip's evolution from early engineering innovation to market-driven, customer-focused deployment.
Swyx joined SAIL! Thank you SAIL Media, Prof. Tom Yeh, 8Lee, Hamid Bagheri, c9n, and many others for tuning into SAIL Live #6 with Nathan Lambert and Sebastian Raschka, PhD. Sharing here for the LS paid subscribers.We covered: This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe
In the latest episode of the Cisco AI Insights Podcast, hosts Rafael Herrera and Sónia Marques welcome Cisco AI operations engineer James Tidd for a discussion on the world of small language models (SLMs) and the evolution of efficient AI inference. Together, they unravel the complexities behind “Fast Inference from Transformers via Speculative Decoding,” a groundbreaking paper from Google that explores how smaller draft models can speed up large language model predictions while maintaining accuracy. James shares his hands-on experience experimenting with the technique, leveraging knowledge distillation and speculative execution. The trio also discusses the potential of this approach to optimize AI, reduce power consumption and costs, and help businesses of all sizes get more out of existing hardware. A special thank you to Google's AI team for developing this month's paper. If you are interested in reading the paper yourself, please visit this link: https://research.google/blog/looking-back-at-speculative-decoding/.
Modeling, confidence, and the photographer experience — this convo is a good one :)Model Bella Davison is here to chat about what actually makes someone feel comfortable, confident, and respected in front of the camera. Bella shares what photographers are doing right, what doesn't work, and how small changes can completely shift the energy on set.We get into direction that actually helps, plus advice for photographers who feel awkward or unsure when posing people. Whether you're working with professional models, friends, or first time clients, this episode is full of practical reminders that the experience matters just as much as the final images.DON'T FORGET!
Sign up for a $1 per month trial period at https://shopify.com/sloan Let's get into Tyra Banks, #antm and Lisa D'Amato's experience surviving the franchise! Learn more about your ad choices. Visit megaphone.fm/adchoices
Send a textJoin all 5 of us plus very special guest Scott Samo AKA Nemo from the Modelgeeks joins in the fun. We talk about the upcoming 2026 Edition of the 48 in 48 Global Group Build and fundraiser to benefit Models for Heroes the weekend of March 20, 2026. We also get serious and do a deep dive into each of the hosts "why" - why this hobby? What keeps each of us coming back to it over other pursuits.JB and Scott have a terrific interview with Boyd Brown, AKA the Quiet Corner Modeler, and we cover a wide range of topics and just generally have a great time! If you would like to become a Posse Outrider, and make a recurring monthly donation of $ 1 and up, visit us at www.patreon.com/plasticpossepodcast .Plastic Posse Podcast on Facebook: https://www.facebook.com/PlasticPossePlastic Posse Group on Facebook: https://www.facebook.com/groups/302255047706269Plastic Posse Podcast MERCH! : https://plastic-posse-podcast.creator-spring.com/Plastic Posse Podcast on YouTube:https://www.youtube.com/channel/UCP7O9C8b-rQx8JvxFKfG-KwOrion Paintworks (TJ): https://www.facebook.com/orionpaintworksJB-Closet Modeler (JB): https://www.facebook.com/closetmodelerThree Tens' Modelworks (Jensen): https://www.facebook.com/ThreeTensModelWorksRocky Mountain Expo: https://rockymtnhobbyexpo.com/SPONSORS:Tankraft: https://tankraft.com/AK Interactive: https://ak-interactive.com/Tamiya USA: https://www.tamiyausa.com/Micro World Games: https://mwg-hobbies.com/Bases By Bill: https://basesbybill.com/?srsltid=AfmBOoojwgAlnXwsJcB_SlYzeclVt9ZuIX3Fd18Ig9k5f4vyIYmihobbSupport the showSupport the show
‘I was there to party myself. It was guys with younger girls, sex, a lot of sex, a lot of cocaine, top-shelf liquor' but no smoking. Trump didn't approve of cigarettes.Become a supporter of this podcast: https://www.spreaker.com/podcast/the-opperman-report--1198501/support.
Karan Singhal, Head of Health AI at OpenAI, explains how ChatGPT Health is achieving attending-physician-level performance and already serving hundreds of millions of users. He details how OpenAI works with over 250 doctors, built the 49,000-criteria HealthBench evaluation, and ran one of the first randomized trials of AI copilots in clinical care. The conversation explores privacy and safety safeguards, medical multimodality, N-of-1 treatment plans, and how AI could become a standard part of global medical practice. Use the Granola Recipe Nathan relies on to identify blind spots across conversations, AI research, and decisions: https://bit.ly/granolablindspot LINKS: modeling human wellness Sponsors: Claude: Claude is the AI collaborator that understands your entire workflow, from drafting and research to coding and complex problem-solving. Start tackling bigger problems with Claude and unlock Claude Pro's full capabilities at https://claude.ai/tcr Serval: Serval uses AI-powered automations to cut IT help desk tickets by more than 50%, freeing your team from repetitive tasks like password resets and onboarding. Book your free pilot and guarantee 50% help desk automation by week 4 at https://serval.com/cognitive Framer: Framer is an enterprise-grade website builder that lets business teams design, launch, and optimize their.com with AI-powered wireframing, real-time collaboration, and built-in analytics. Start building for free and get 30% off a Framer Pro annual plan at https://framer.com/cognitive Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai CHAPTERS: (00:00) About the Episode (06:11) Cancer story and mission (11:46) Designing safe health AI (Part 1) (17:49) Sponsors: Claude | Serval (21:09) Designing safe health AI (Part 2) (26:48) Uncertainty, HealthBench and robustness (Part 1) (30:23) Sponsors: Framer | Tasklet (32:50) Uncertainty, HealthBench and robustness (Part 2) (38:11) Chain-of-thought and evaluation (46:49) Real-world performance and frontiers (55:35) Multimodal data and science (01:05:36) Personalization, privacy and monitoring (01:15:47) Models, data and incentives (01:29:31) Doctor adoption and workflows (01:38:13) Scalable oversight and alignment (01:51:06) Move 37 and future (02:00:50) Episode Outro (02:03:06) Outro PRODUCED BY: https://aipodcast.ing
Building a model for an academic paper is one thing. Building a model that has to work perfectly during the Cricket World Cup with millions watching is something else entirely. There's no room for the kind of errors that might be acceptable in research settings or even standard business applications.In this Value Boost episode, Prof. Steve Stern joins Dr. Genevieve Hayes to share practical lessons from deploying the Duckworth-Lewis-Stern method in high-pressure, real-time environments where mistakes have global consequences.You'll learn:Why model simplicity matters more than you think [02:04]The two types of errors you need to understand [03:21]How to test models for extreme situations [05:50]The balance between confidence and humility [07:37]Guest BioProf. Steve Stern is a Professor of Data Science at Bond University, and is the official custodian of the Duckworth-Lewis-Stern (DLS) cricket scoring system.LinksContact Steve at Bond UniversityConnect with Genevieve on LinkedInBe among the first to hear about the release of each new podcast episode by signing up HERE
AI decisions aren't getting harder because the technology is more complex.They're getting harder because they're more visible.In this episode, Yvette Brown and Shari Nomady explore why AI has become a leadership problem before it's a technical one.Vendors overpromise.Models evolve faster than most organizations can absorb.Teams look to leaders for confidence and direction, even when certainty doesn't exist yet.The result: leaders are being asked to decide, explain, and be accountable almost simultaneously.This conversation isn't about tools or tactics. It's about judgment, visibility, and what leadership requires when the buffer between learning and explaining disappears.
This Drive Thru News episode tears through a disappointing slate of Super Bowl car commercials before shifting into a broader roundup of automotive chaos - from Stellantis' $26B EV implosion and Tesla axing the Model S and X, to StopTech and Raybestos abruptly shutting down and Honda's new Prelude landing with a thud. The hosts riff on design misfires, EV fatigue, and shifting EPA rules while weaving in motorsports talk, including the dull Rolex 24, Bathurst's massive crash, and WRC scouting U.S. rally sites. They wrap with GTM project updates, track‑season safety reminders, and a grab‑bag of Florida‑man absurdity and parking‑lot disasters, all delivered with their usual humor and gearhead banter. ===== (Oo---x---oO) ===== 00:00:00 Drive-Through News #65 Kickoff 00:01:27 Olympics Banter: Speed Skating, Biathlon & Curling Controversy 00:02:47 Super Bowl Ads: Were There Any Car Commercials? 00:11:57 Best Super Bowl Car Ads of the Last 20 Years (Top 5 Countdown) 00:14:36 Stellantis' $26B EV Struggle: Charger EV, 4xe Hybrids & What Went Wrong 00:18:01 EPA Rule Swings: Stop-Start, Emissions, and the Return of Big Engines? 00:20:04 Aftermarket Shock: StopTech Stops Making Brakes (and what's next) 00:22:35 Cars on the Chopping Block: Honda Prelude Hate & Tesla S/X Discontinued 00:24:50 The Grand Tour ‘Returns': Throttle House Rumors & Why You Can't Replace the Trio 00:30:19 Legends Lost: Ed Iskenderian Tribute & Robert Duvall Remembered 00:32:35 Porsche ‘Not Dead Yet': EV Cayman/Boxster and the Toyota MR2 Clickbait 00:38:11 Thank God It's Dead: Audi's ‘Pickup Truck' Concept 00:40:50 Audi's ‘Concept C' Design Language: The Ugly EV That Won't Die 00:42:05 BMW's Electric M3 Rumors + The Infamous ‘Special Screw' Repair Nightmare 00:44:47 Season Wrap & Pop Culture Detour! 00:51:04 Ferrari's First EV ‘Luce': Toy-Like Interior, Not-Quite-Ferrari Looks 00:54:52 Are You Faster Than an Interceptor? 01:01:49 Behind the Pit Wall: IndyCar in DC, Daytona 500, and a Boring Rolex 24 01:05:54 Sim Racing Update (Assetto Corsa Evo 0.5) 01:12:00 Bathurst Crash, WRC America Rumors, and the GTM Trackside Lemons Project Update 01:14:52 Safety Gear PSA & Season Finale Thanks, Patreon, and Sponsor Shoutouts ==================== The Motoring Podcast Network : Years of racing, wrenching and Motorsports experience brings together a top notch collection of knowledge, stories and information. #everyonehasastory #gtmbreakfix - motoringpodcast.net More Information: Visit Our Website Become a VIP at: Patreon Online Magazine: Gran Touring Follow us on Social: Instagram
a16z's Martin Casado and Sarah Wang join Latent Space hosts Alessio Fanelli and Swyx to discuss what makes this AI investment cycle unlike anything in the history of venture capital. They cover why the lines between venture and growth, apps and infrastructure are blurring, how frontier model companies can raise more than the aggregate of everyone built on top of them, and why the industry-wide gap between perception and reality has never been wider. Follow Alessio Fanelli on X: https://x.com/FanaHOVA Follow Swyx (Shawn Wang) on X: https://twitter.com/FanaHOVA Follow Martin Casado on X: https://twitter.com/martin_casado Follow Sarah Wang on X: https://twitter.com/sarahdingwang Listen to more from Latent Space: https://www.youtube.com/@LatentSpacePod Stay Updated: Find a16z on YouTube: YouTube Find a16z on X Find a16z on LinkedIn Listen to the a16z Show on Spotify Listen to the a16z Show on Apple Podcasts Follow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Check out everything a16z is doing with artificial intelligence here, including articles, projects, and more podcasts. Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Discover exactly Why MORE Data Doesn't Mean BETTER Risk Models in this deep dive into credit risk. In this episode of the Risk Management Show, host Boris Agranovich is joined by Artem Lalaiants, CEO at RiskSeal, to explore the limitations of traditional credit bureaus. We discussed the critical difference between data volume and data relevance. Artem shares why adding more of the same information fails to improve underwriting and how "orthogonal" data—such as digital footprints and subscription behaviors—can unlock financial services for the underbanked. You will learn strategies for expanding into emerging markets using real-time insights that do not rely on regional bureau coverage. This conversation provides essential knowledge for any Chief Risk Officer or professional in Risk Management looking to modernize their credit scoring approach. As the Global Risk Community brings you expert discussions on topics ranging from Cyber Security to Sustainability, we aim to keep you ahead of the curve. If you want to be our guest or suggest a speaker, send your email to info@globalriskconsult.com with the subject line "Podcast Guest".
InvestOrama - Separate Investment Facts from Financial Fiction
Welcome to another episode of SOURCE CODE.At Finovate, a leading Fintech conference “where you see the future of fintech first”, startups demo their solutions in seven minutes. This series is everything else - the human story behind the innovation. In every great story, there's a hero on a quest and a guide who's walked the path before. In b2b fintech, the customer is the hero. Today's founder? They're the guide.We're going back to the origin - before the demo, before the product - to understand the journey that led here. This story is about Alex Frankl, founder of Fintrac, a model platform for financial services. The interview was recorded at Finovate Europe 2026.Alex embodies The Defender archetype - standing guard over what's most vulnerable in regulated finance: governance, auditability, and compliance. While others optimize for speed and flexibility, he remains resolute in defending the principles that protect financial institutions from risk. Like all great defenders, he's driven not by glory but by a deep commitment to ensuring nothing sacred is lost in the pursuit of innovation.LinksFintrac Finovate demo: Subscribe to the newsletter:Source Code is a series from the Investology podcast, produced by Orama:https://orama.tv/ This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit investorama.substack.com
AI momentum is accelerating, but real-world constraints are tightening. From hyperscaler infrastructure lock-ins and sovereign AI expansion to RAM shortages and enterprise AI pivots, Ep. 293 examines what truly determines leadership in the next phase of AI. The handpicked topics for this week are: Meta & NVIDIA's Long-Term AI Infrastructure Partnership: Meta confirmed a deep infrastructure expansion across NVIDIA Blackwell and Rubin GPUs, Grace CPUs, and advanced networking. Pat & Dan discuss hyperscaler AI factories, overflow capacity strategies, and long-term compute commitments. Microsoft's Global South and Sovereign AI Expansion: As Microsoft continues major investment across India and emerging markets, the hosts explore sovereign cloud strategy, geopolitical positioning, and how global AI infrastructure buildouts shape long-term competitiveness. California AI Oversight and Regulatory Fragmentation Risk: State-level AI oversight initiatives raise concerns about a patchwork regulatory environment that could slow U.S. innovation relative to centralized global competitors. The HBM Memory Crunch and Long-Term Supply Constraints: High-Bandwidth Memory shortages continue to shape AI deployment timelines. Relief may not arrive until late this decade, with downstream impacts on data centers, PCs, and consumer devices. Infosys & Anthropic GSI Pivot to Enterprise AI Agents: Infosys partners with Anthropic to accelerate enterprise AI agent deployment. Hosts examine whether global systems integrators can pivot fast enough in an agent-driven economy. The Flip – Models vs Infrastructure Leadership: Is AI dominance determined by model quality or infrastructure scale? Pat & Dan debate whether gigawatts or algorithmic efficiency define long-term advantage. Bulls & Bears – Cyber, Power, EDA, SaaS & AI Infrastructure Plays: Earnings and market signals across Palo Alto Networks, Analog Devices, Cadence, ServiceNow, Dell, and Marvell highlight how execution, supply chains, and capital discipline matter in this cycle. Be sure to subscribe to The Six Five Pod so you never miss an episode.
Tesla unveils a new $60,000 trim of the Cybertruck, and while it does make some sacrifices, it's pretty darn appealing. I'll tell you all about it on this episode. Plus: one option on the outgoing Model S and X has already been retired, Ford talks up their Tesla-like next-gen EV platform, and more! If you enjoy the podcast and would like to support my efforts, please check out my Patreon at https://www.patreon.com/teslapodcast and consider a monthly or (10% discounted!) annual pledge. Every little bit helps, and you can support for just $5 per month. And there are stacking bonuses in it for you at each pledge level, like early access to each episode at the $5 tier and the weekly Lightning Round bonus mini-episode (AND the early access!) at the $10 tier! And NO ADS at every Patreon tier! Also, don't forget to leave a message on the Ride the Lightning hotline anytime with a question, comment, or discussion topic for next week's show! The toll-free number to call is 1-888-989-8752. INTERESTED IN A FLEXIBLE EXTENDED WARRANTY FOR YOUR TESLA? Be a part of the future of transportation with XCare, the first extended warranty designed & built exclusively for EV owners, by EV owners. Use the code Lightning to get $100 off their "One-time Payment" option! Go to www.xcelerateauto.com/xcare to find the extended warranty policy that's right for you and your Tesla. P.S. Get 15% off your first order of awesome aftermarket Tesla accessories at AbstractOcean.com by using the code RTLpodcast at checkout. Grab the SnapPlate front license plate bracket for any Tesla at https://everyamp.com/RTL/ (don't forget the coupon code RTL too!). Enhance your car with cool carbon-fiber upgrades from RPMTesla.com and use the promo code RTLPOD+ for 10% off your next purchase. And make your garage door foolproof with the Infinity Shield – get yours at infinity-shield.com and use the promo code RTL at checkout for a $35 discount.
Abby Connect's CEO, Nathan Strum, reveals what separates successful AI implementations from failures: hybrid models that leverage both technology and human expertise. Their three-tier approach—human-only, AI-only, and hybrid service—addresses different customer needs. AI excels at routine inquiries and complex scheduling that would require extensive human training. Humans handle nuanced situations requiring empathy and creative problem-solving.
In this episode, photographer Jason Lanier and his Model Assistant/Muse pull back the curtain on an unforgettable rain-soaked shoot in the legendary Muir Woods National Park. What happens when the skies open up in one of the most iconic redwood forests in the world? Instead of packing up, you lean in. Jason breaks down how he used the Godox AD300 as his off-camera flash to cut through the mist and sculpt dramatic light in a dim, rain-drenched environment. Together, they discuss the real behind-the-scenes moments—the adjustments, the laughter, the challenges, and the magic that happens when preparation meets opportunity. Inside this episode:
Can you help me make more podcasts? Consider supporting me on Patreon as the service is 100% funded by you: https://EVne.ws/patreon You can read all the latest news on the blog here: https://EVne.ws/blog Subscribe for free and listen to the podcast on audio platforms:➤ Apple: https://EVne.ws/apple➤ YouTube Music: https://EVne.ws/youtubemusic➤ Spotify: https://EVne.ws/spotify➤ TuneIn: https://EVne.ws/tunein➤ iHeart: https://EVne.ws/iheart BEV OWNER SATISFACTION HITS NEW HIGH IN US https://evne.ws/4aH9xFB EV OWNER SATISFACTION HITS RECORD HIGH: JD POWER https://evne.ws/4tHQfZg POLESTAR PLOTS FOUR-MODEL PUSH TO 2028 https://evne.ws/4r4tLiV POLESTAR'S NEXT FOUR MODELS FACE US TARIFF SNARL https://evne.ws/4rZMtsG POLESTAR RULES OUT HYBRIDS FOR GOOD https://evne.ws/3MjdJDt POLESTAR PLANS MORE BUTTONS AND CABIN CHOICE https://evne.ws/4aryAh9 SCOUT RANGE-EXTENDER SHIFT PUSHES LAUNCH TO 2028 https://evne.ws/4kJU38c SCOUT MOTORS FACES POSSIBLE ONE-YEAR SLIP https://evne.ws/4aA9MUh DACIA UPDATES HYBRIDS, LPG AND SPRING BATTERY FOR 2026 https://evne.ws/46dT8Hj EVS EMERGE AS GRID STORAGE IN RENEWABLE SHIFT https://evne.ws/46gObh3 NEXT ALPINE A110 TO SHARE APP WITH R5 TURBO 3E https://evne.ws/4qGzLOn TESLA DROPS “AUTOPILOT” TO KEEP CALIFORNIA LICENCES https://evne.ws/4s5MRpL
Gregory Copley argues Europe suffers from a leadership vacuum caused by post-WWII dependency on the US and bureaucratic corrosion within the EU, with economic recovery requiring slashing regulations as current welfare models become unsustainable amidst geopolitical threats.1900 BRUSSELS PLACE OF MARTYS
The Pentagon is considering ending its relationship with artificial intelligence company Anthropic and their Claude model over disagreements of how the technology is being used. Anthropic's Claude is the only AI model currently being used by the U.S. Military, and is also used by businesses all around the world. The Pentagon does not want the model to hold its military action back, and Anthropic does not want its technology to used on citizens. FOX's John Saucier speaks with Jennifer Griffin, Chief National Security Correspondent for the Fox News Channel (FNC), who breaks down the talking points of each side, and explains how the AI was even used in the capture of Venezuelan President Nicolas Maduro. Click Here To Follow 'The FOX News Rundown: Evening Edition' Learn more about your ad choices. Visit podcastchoices.com/adchoices
LLM -powered systems continue to move steadily into production, but this process is presenting teams with challenges that traditional software practices don't commonly encounter. Models and agents are non-deterministic systems, which makes it difficult to test changes, reason about failures, and confidently ship updates. This has created the need for new evaluation tooling designed specifically The post Optimizing Agent Behavior in Production with Gideon Mendels appeared first on Software Engineering Daily.
Bob Zimmerman of Behind the Black contrasts SpaceX's routine success with ULA's technical struggles, attributing the booming private space sector and massive investments to a shift toward capitalist models.
A.I. is evolving fast, and humanity is falling behind. Dario Amodei, the chief executive of Anthropic, has warned about the potential benefits — and real dangers — linked to the speed of that progress. As one of the lords of this technology, is he on the side of the human race?01:37 - The promise and optimism of A.I.12:59 - White collar "bloodbaths"25:09 - Robotics and physical labor30:16 - The first “dangerous” scenario42:22 - What if it goes rogue?48:01 - Claude's constitution(A full transcript of this episode is available on the Times website.)Thoughts? Email us at interestingtimes@nytimes.com. Please subscribe to our YouTube Channel, Interesting Times with Ross Douthat. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
© 2020-2026 Ivy Podcast Discovery LLC
