Podcasts about extending

What if the same brain states people spend years chasing through psychedelics could be accessed through meditation alone, and in as little as seven days? In this fascinating solo episode, Darin Olien explores groundbreaking new research from University of California San Diego, Harvard University, Massachusetts General Hospital, and University of Montreal suggesting that meditation may produce brain patterns remarkably similar to those observed during psychedelic experiences. From the suppression of the default mode network and increases in neural complexity to neuroplasticity, endogenous opioids, and measurable biological changes in the bloodstream, Darin unpacks the science behind one of the most powerful, and completely free tools available to human beings. He also walks listeners through a practical seven-day protocol combining focused-attention meditation, Vipassana, breathwork, walking meditation, and loving-kindness practices designed to help cultivate greater awareness, emotional resilience, cognitive flexibility, and inner peace. What You'll Learn The groundbreaking UC San Diego meditation study and its surprising findings Why meditation may create brain states similar to psilocybin What the default mode network is and how it shapes everyday thinking How meditation may reduce rumination, anxiety, and self-referential thought The concept of brain criticality and cognitive flexibility Why post-meditation blood samples stimulated neuronal growth How meditation influences neuroplasticity and whole-body biology The differences between Samatha and Vipassana meditation What advanced monks are teaching scientists about consciousness The limitations and caveats of current meditation research A practical seven-day meditation protocol anyone can begin Why meditation may be one of the most powerful health interventions available today Chapters 00:00:03 – Welcome to SuperLife 00:00:33 – Sponsor: Alkemis and the hidden toxicity of indoor air 00:00:57 – Conventional paints, petrochemicals, and endocrine disruptors 00:01:24 – Why VOCs and PFAS may be affecting your home environment 00:01:55 – Fire-resistant mineral paints and healthier living spaces 00:02:27 – Cradle to Cradle certification and sustainable design 00:03:23 – The meditation study Darin can't stop thinking about 00:03:33 – Scanning the brains and blood of meditators 00:03:44 – Brain activity resembling psilocybin experiences 00:04:09 – The promise of a seven-day meditation protocol 00:04:22 – Psychedelics, consciousness, and dissolving the sense of self 00:04:47 – Ancient practices and modern scientific validation 00:05:23 – Why meditation research is entering a renaissance 00:05:41 – Harvard, Massachusetts General Hospital, and advanced consciousness mapping 00:06:00 – University of Montreal's study of monks with 15,000+ hours of practice 00:06:16 – Why psychedelics and meditation are converging scientifically 00:06:37 – What listeners will learn in today's episode 00:06:54 – Breaking down the UC San Diego retreat study 00:07:18 – Thirty-three hours of meditation, breathwork, and group practice 00:07:42 – EEG scans, blood draws, and laboratory neuron testing 00:08:05 – Reduced activity in the default mode network 00:08:24 – The science of mental chatter and rumination 00:08:50 – Blood plasma stimulating new neuronal growth 00:09:02 – Neuroplasticity and new neural connections 00:09:29 – Increased cellular metabolism and endogenous opioids 00:10:13 – Samatha vs Vipassana meditation explained 00:10:42 – How different meditation styles reshape the brain 00:10:50 – Harvard's advanced meditation consciousness studies 00:11:18 – Mapping concentration states and consciousness cessation 00:11:46 – Ancient contemplative traditions meeting modern neuroscience 00:11:50 – Important limitations of the research 00:12:05 – Why advanced monks aren't average practitioners 00:12:20 – Correlation versus causation in psychedelic comparisons 00:12:48 – What may actually be happening inside the brain 00:13:03 – Understanding the default mode network 00:13:26 – Anxiety, depression, addiction, and overactive self-talk 00:13:53 – Why meditation and psilocybin share common neurological effects 00:14:10 – Beginner studies showing measurable brain changes 00:14:28 – Brain criticality and cognitive adaptability 00:14:48 – The most surprising finding: meditation changes the blood 00:15:05 – Meditation as a whole-body signaling event 00:15:18 – Better sleep, digestion, hormone balance, and recovery 00:15:39 – Neuroplasticity, immune function, metabolism, and pain regulation 00:15:56 – Why meditation may be the ultimate free medicine 00:16:10 – Introducing the seven-day meditation protocol 00:16:34 – Sponsor break: Alkemis Paint 00:19:02 – Building a research-backed at-home meditation practice 00:19:24 – Why consistency matters more than total hours 00:19:41 – Combining focused attention and open monitoring 00:19:53 – Days 1–3: Stabilizing attention 00:20:02 – Morning focused-attention meditation instructions 00:20:34 – Evening body scan practice 00:21:04 – Preparing the brain for deeper awareness 00:21:08 – Days 4–5: Opening awareness through Vipassana 00:21:31 – Letting thoughts, sensations, and sounds pass freely 00:21:39 – Evening box breathing for nervous system regulation 00:22:01 – Why days four and five often feel more challenging 00:22:11 – Days 6–7: Deepening and integrating the practice 00:22:27 – Walking meditation and embodied awareness 00:22:52 – Loving-kindness meditation and compassion training 00:23:02 – Vagal tone, heart rate regulation, and inflammation reduction 00:23:18 – Three rules that determine success 00:23:26 – Eliminating distractions and protecting attention 00:23:36 – Why you should never judge your meditation sessions 00:24:00 – Extending the practice beyond seven days 00:24:19 – Psychedelics, meditation, and the search for transformation 00:24:51 – What the medicine always teaches: sit with yourself 00:25:03 – The wellness industry's tendency to monetize stillness 00:25:20 – Why you don't need expensive tools to transform 00:25:36 – Meditation as radical self-reclamation 00:26:02 – Meeting yourself without distraction 00:26:17 – Final reflections and closing thoughts 00:26:29 – Outro and farewell Thank You to Our Sponsors Alkemis: Go to https://alkemispaint.com/ and use code DARIN10 for 10% off your order. Manna Vitality: Go to mannavitality.com/ and use code DARIN12 for 12% off your order. Join the SuperLife Patreon: This is where Darin now shares the deeper work: - weekly voice notes - ingredient trackers - wellness challenges - extended conversations - community accountability - sovereignty practices Join now for only $7.49/month at https://patreon.com/darinolien Find More from Darin Olien: Website: darinolien.com Instagram: @darinolien Book: Fatal Conveniences Platform & Products: superlife.com New Show: Roadmap to Happiness Key Takeaway "Perhaps one of the most profound discoveries emerging from modern neuroscience is that many of the states of awareness humans have sought through substances, rituals, and external interventions may already be available within us. Meditation is not simply a relaxation practice—it appears to be a biological, neurological, and consciousness-altering intervention capable of reshaping the brain, changing the body, and transforming how we experience reality. The question is not whether the door exists. The question is whether we are willing to sit still long enough to walk through it." Bibliography/Sources: Here is the fully formatted bibliography for the "Seven Days to a New Brain" episode. It is organized by category, formatted in strict APA Style (7th Edition), and includes a direct link for every single source : Primary Studies Brewer, J. A., Worhunsky, P. D., Gray, J. R., Tang, Y. Y., Weber, J., & Kober, H. (2011). Meditation experience is associated with differences in default mode network activity and connectivity. Proceedings of the National Academy of Sciences, 108(50), 20254–20259 . https://doi.org/10.1073/pnas.1112029108 Lieberman, J. M., Rahrig, H., Britton, W. B., et al. (2025). Toward a neuroscience of consciousness using advanced meditation. Neuroscience & Biobehavioral Reviews . https://meditation.mgh.harvard.edu/files/Lieberman_25_NeuroscienceAndBiobehavioralReviews.pdf Pascarella, A., Jerbi, K., et al. (2026). Meditation induces shifts in neural oscillations, brain complexity, and critical dynamics: Novel insights from MEG. Neuroscience of Consciousness . https://pubmed.ncbi.nlm.nih.gov/41287816/ Patel, H., et al. (2025). Intensive meditation retreat induces rapid changes in brain activity, blood-based biomarkers, and neurotrophic signaling. Communications Biology . https://today.ucsd.edu/story/meditation-retreat-rapidly-reprograms-body-and-mind Shinozuka, K., et al. (2025). Neuroelectrophysiological correlates of extended cessation of consciousness in advanced meditation [Preprint]. bioRxiv . https://meditation.mgh.harvard.edu/files/Shinozuka_25_bioRxiv.pdf Van Lutterveld, R., et al. (2025). An intensively sampled electroencephalography case study of advanced concentration absorption meditation (jhana) [Preprint]. SSRN . https://meditation.mgh.harvard.edu/files/VanLutterveld_25_SSRN.pdf Supporting Press Coverage & Explainers Harvard Gazette. (2026, January). Your brain on advanced meditation . https://news.harvard.edu/gazette/story/2026/01/your-brain-on-advanced-meditation/ Medical Xpress. (2026, February). Study of 12 monks finds meditation heightens brain activity, reshaping neural dynamics . https://medicalxpress.com/news/2026-02-monks-meditation-heightens-brain-reshaping.html PsyPost. (2026). Brain scans of Buddhist monks reveal how different meditation styles alter consciousness . https://www.psypost.org/brain-scans-of-buddhist-monks-reveal-how-different-meditation-styles-alter-consciousness/ ScienceDaily. (2026, April 6). Scientists say 7 days of meditation can rewire your brain . https://www.sciencedaily.com/releases/2026/04/260406192913.htm UC San Diego Today. (2026). Meditation retreat rapidly reprograms body and mind. UC San Diego News Center . https://today.ucsd.edu/story/meditation-retreat-rapidly-reprograms-body-and-mind Université de Montréal. (2026, January 5). Meditation doesn't rest the brain, it reshapes it. UdeMNouvelles . https://nouvelles.umontreal.ca/en/article/2026/01/05/meditation-doesn-t-rest-the-brain-it-reshapes-it  

Seth and Sean discuss what Mike Sando of the Athletic says was the Texans' best offseason move, and why they think it was good, but not the best.

As a teenager, I had a strained relationship with my churchmate Lisa, so I was dismayed to learn we’d be roommates at our youth summer camp. The week at camp passed smoothly though, with both of us being civil. The most anticipated event was a bonfire gathering at the end of the week. On that evening, however, I had a fever. I went to bed early, but I could hear the laughter and music outside. An hour later, I was startled by Lisa, who was taking my temperature. “I’m not joining them at the bonfire,” she said. “You’re sick. I need to stay with you.” Lisa could’ve stayed uninvolved, but she chose to care for me, which lifted my spirits. We see another example of someone who cared in the story of Naaman. The commander of the Syrian army, Naaman had an Israelite servant girl who’d been taken captive and now “served Naaman’s wife” (2 Kings 5:2). Separated from family and forced to servitude, the girl could’ve chosen to not help her master, who had leprosy. But her faith moved her to help: “She said to her mistress, ‘If only my master would see the prophet who is in Samaria! He would cure him” (v. 3). And God did, in fact, use the prophet Elisha to heal Naaman (vv. 8-14). Lisa and the Israelite girl chose to help, and God worked through them. Let’s ask God to show us who we can extend His care to and give us the wisdom how.

**Extending the Life of Your Roof: A Game-Changer for Homeowners** Are you tired of dealing with the hassle and expense of replacing your roof? This episode of the podcast is a must-listen for anyone who wants to learn about a revolutionary new way to extend the life of their existing roof. Join the speaker as they chat with Dave Beckett, the local franchise owner of Roof Restor, a company that's been helping homeowners in the Cincinnati area breathe new life into their roofs. Dave shares the story of how his company uses a bio-oil based spray to rejuvenate asphalt shingles, restoring their pliability and extending their lifespan. He explains how this process can save homeowners thousands of dollars compared to replacing their roof entirely. Dave also discusses the importance of preventive maintenance and how his company's treatment can help homeowners avoid costly insurance claims. With a wealth of knowledge and experience, Dave is the perfect guide for anyone looking to learn more about this innovative solution. From the average cost of a roof treatment to the benefits of repeat applications, Dave covers it all. He also shares some surprising statistics on the cost of insurance claims and the importance of regular maintenance. Whether you're a homeowner or a property manager, this episode is packed with valuable information that's sure to change the way you think about roof maintenance. So if you're ready to learn more about how to extend the life of your roof and save money in the process, tune in to this episode. Listen as Dave Beckett shares his expertise and insights on this game-changing solution.See omnystudio.com/listener for privacy information.

**Extending the Life of Your Roof: A Game-Changer for Homeowners** Are you tired of dealing with the hassle and expense of replacing your roof? This episode of the podcast is a must-listen for anyone who wants to learn about a revolutionary new way to extend the life of their existing roof. Join the speaker as they chat with Dave Beckett, the local franchise owner of Roof Restor, a company that's been helping homeowners in the Cincinnati area breathe new life into their roofs. Dave shares the story of how his company uses a bio-oil based spray to rejuvenate asphalt shingles, restoring their pliability and extending their lifespan. He explains how this process can save homeowners thousands of dollars compared to replacing their roof entirely. Dave also discusses the importance of preventive maintenance and how his company's treatment can help homeowners avoid costly insurance claims. With a wealth of knowledge and experience, Dave is the perfect guide for anyone looking to learn more about this innovative solution. From the average cost of a roof treatment to the benefits of repeat applications, Dave covers it all. He also shares some surprising statistics on the cost of insurance claims and the importance of regular maintenance. Whether you're a homeowner or a property manager, this episode is packed with valuable information that's sure to change the way you think about roof maintenance. So if you're ready to learn more about how to extend the life of your roof and save money in the process, tune in to this episode. Listen as Dave Beckett shares his expertise and insights on this game-changing solution.See omnystudio.com/listener for privacy information.

he Power of Invitation and Mentorship in Military LifeThis episode dives deep into the authentic, relational nature of mentorship within the military community — and how it transforms lives, bonds, and faith. Whether you're a seasoned mentor or just starting to extend your hand, discover how simple, intentional invitations can create lifelong impact.In this episode:How military life shapes our view and experience of mentorshipRelational mentorship vs formal mentoring — why both matterThe role of community, hospitality, and authenticity in nurturing relationshipsExamples of informal mentoring moments that changed livesThe importance of vulnerability, intentionality, and grace in mentorshipNavigating generational differences in the way we connect and inviteLearning and teaching through diverse perspectives and experiencesHow seasons of life influence our mentoring needs and opportunitiesTimestamps:00:00 - Welcome and episode overview: the significance of invitation in mentorship02:36 - Exploring how military life influences mentorship perceptions04:09 - Heidi shares her long-standing mentorship journey05:05 - The power of open homes and welcoming community06:50 - Heidi's experience with biblical and relational mentorship08:36 - Rachel's story of creating meaningful community in new settings10:40 - The importance of having others outside your immediate family12:19 - Recognizing relational mentorship beyond formal structures13:01 - Military culture's impact on mentoring language and practices14:44 - Biblical foundations: Timothy and Paul as models for relational mentorship16:42 - Extending invitations and creating relational spaces18:36 - Moving from formal to relational mentorship — how authentic connection happens20:18 - Reflecting on intentionality in relationships across seasons22:37 - Small moments of acknowledgment and their profound impact23:37 - Generational shifts in how we receive and extend invitations26:33 - Adapting to technology and cultural changes in connecting with others30:23 - Grace-filled modeling of relationships and understanding different life stages33:16 - Learning from others' behaviors, modeling authentic mentorship36:34 - Navigating the unique challenges of parenting adults and seeking growth39:30 - The importance of intentionality and vulnerability in mentorship42:01 - Maintaining connection and wisdom through life transitions44:21 - Broadening perspectives: mentoring those with different experiences46:32 - The value of authentic relationships that thrive in messiness48:25 - Embracing seasons: short-term drippers versus lifelong bonds49:27 - Closing thoughts and encouragement to extend God's invitation

Built for Life Newsletter: https://builtforlife.io Twice-weekly emails for high performers who want to look good, feel great and perform at their best    Summer Shred Calculator: https://calculator.rntfitness.com   See how much fat you can lose in 12 weeks.   Book a 1-1 strategy session: https://www.rntfitness.co.uk/ytapplynow    Case Study: https://www.rntfitness.co.uk/how-busy-mum-and-dr-harita-raja-lost-16kg – Welcome back to RNT Fitness Radio. Today I'm joined by an RNT client, Dr. Harita Raja, who has recently entered her second year of the journey. I brought Harita on to share her story of dropping 40 pounds in her 40th year.   Before joining, Harita had never followed a properly structured programme. She found herself at a crossroads, weighing up whether to go down the GLP-1 route or commit to something structured like RNT Fitness. She decided to give the programme a shot, with a plan to fall back on medication if it didn't work out.   Lo and behold, she's now a completely new woman, inside and out, inspiring her family, her community, her patients, and many others to take control of their health. The irony? Everyone's now convinced she's on GLP-1s and can't quite believe it's been RNT Fitness all along.   I really enjoyed this conversation, and I think you will too. Be sure to check out her case study and pictures in the show notes. Let's dive in.   Chapters:  0:00 Introduction 2:05 Harita's Starting Point 4:00 Dieting History & Body Image 12:04 Choosing RNT Over GLP-1s 16:47 First Weeks on the Program 19:19 Navigating Family & Meal Prep 25:04 Getting Buy-In From Family 30:18 The Photoshoot 32:00 Biggest Challenges 35:02 How Physical Transformation Changed Her Life 37:06 The Raatri Collective 39:00 Extending the Journey 42:15 What Almost Stopped Her 47:19 Final Words   Follow us: Website - https://www.rntfitness.com  Instagram - https://www.instagram.com/rnt_fitness  Instagram - https://www.instagram.com/akashvaghela YouTube - https://www.youtube.com/@akash_vaghela

Dr. Kevin Toman explores one of the most important questions every pet owner asks: how can we help our pets live longer, healthier, and happier lives? Drawing from years of experience in veterinary care and pet wellness, Dr. Toman shares practical advice on nutrition, preventative care, lifestyle habits, and the everyday choices that can dramatically improve a pet's quality of life and longevity.From understanding the warning signs of common health issues to creating healthier routines for dogs and cats, this conversation is packed with valuable information for animal lovers everywhere. Whether you're a lifelong pet owner or welcoming a new furry companion into your home, this episode offers meaningful insights on strengthening the bond with your pets while giving them the best chance at a long and vibrant life.If you love your pets like family, this is an episode you won't want to miss.Please be a responsible pet owner and have your pet spayed or nuetered. visit: www.HelpingPetsLiveLonger.comvisit: www.FreeVetCall.comLook for the book: Pet Longevity Playbookvisit: www.TheRawVibe.com

Today we were pleased to host Marshall Carver, Professor of Finance at Tulane University, who is currently in Beijing teaching students through a joint program with the University of China Academy of Social Sciences (UCAS). We have known Marshall since his time at Tudor Pickering Holt, and he has since built a 20+ year career in equity and debt research. He joined the Tulane faculty five years ago and teaches energy-focused courses including energy investment banking, financial modeling, risk management, and equity research. We were excited to visit with Marshall and hear his firsthand perspectives from China. In our conversation, Marshall shares his experiences teaching energy finance and financial modeling in Beijing and his broader observations on China's rapidly evolving energy, manufacturing, and technology landscape. We discuss China's aggressive long-term focus on manufacturing, AI, renewable energy, batteries, EVs, automation, and infrastructure development through centralized five-year planning, and he explains why he believes China continues extending its lead across several energy transition industries. We explore parallels between the U.S. shale boom and China's current EV and renewable energy expansion, including the intense competition, quick scaling, overcapacity concerns, and profitability challenges facing many companies. Marshall outlines the differences he sees between Chinese and U.S. students in areas such as technology and AI tools, spreadsheet modeling, and engineering-focused education. We cover China's growing emphasis on energy security and its increasingly “all-of-the-above” approach to energy development, including coal, nuclear, renewables, and EV infrastructure investments. We also discuss the country's fast-growing EV ecosystem, long-range hybrid vehicles, AI and robotics adoption, and the broader geopolitical and industrial competition between China and the United States. We touch on demographic and real estate challenges within China, the role automation could play in offsetting labor constraints, and Marshall's fascinating personal observations from spending significant time on the ground in Beijing. It was a highly interesting discussion, and we appreciate Marshall for sharing his time and insights. Mike Bradley started the show by noting that this is a holiday-shortened trading week, with most markets trading on hopes of an imminent Iranian deal, even as those hopes are ironically being overshadowed by ongoing military strikes within the Gulf. On the bond market front, 10-year bond yields were trading just under 4.5% (down from a recent peak of ~4.7%) on optimism that inflation could begin to ease if a potential Iranian deal materializes. On the crude oil market front, WTI prices had pulled back to $92-$93/bbl (down $3-$4/bbl) amid growing optimism that an Iranian deal could be forthcoming. On the broader equity market front, markets continue to post new all-time highs (dialing in a significant amount of optimism), despite the ongoing cycle of weekly on-and-off talks with Iran. On the energy equity front, investors currently appear to be sitting on the sidelines, waiting to see which direction oil prices ultimately break. He ended by noting that energy investors also seem to be positioning for the next major Energy/Electric sector deal now that 1Q26 earnings calls are in the rearview mirror. Arjun Murti discussed several major themes emerging from the ongoing Iran conflict and broader energy markets. He emphasized that nothing about the current geopolitical backdrop appears to be slowing the ongoing “power super cycle,” particularly given strong hyperscaler earnings, capex growth, and continued AI-driven electricity demand. He also pushed back on the idea that oil is entering a new long-term super cycle and reiterated Veriten's view that the market environment is better characterized as “geopolitical super vol,” with continued spikes and pullbacks driven by geopolitical developments rather than structurally higher long-term oil prices. He outlined what Veriten is calling the “Four Ds” of pragmatic energy policy: maximizing domestic production, diversifying energy sources and technologies, doing more with existing assets, and embracing digital transformation and AI. Arjun ended by highlighting China as a notable example of a resource-constrained country pursuing an aggressive “all-of-the-above” strategy across coal, renewables, automation, and AI.

Shone Anstey of LQWD Technologies joins Pierre Rochard to discuss why Bitcoin and the Lightning Network are the essential "trust protocols" for the coming AI revolution. Learn how the Lightning Network acts as a major computer science breakthrough, extending the internet's OSI stack to allow money to move at the speed of intelligence for a machine economy bigger than the human economy.Chapters00:10 Effectively unlimited scale01:00 Shone Anstey's background in 90s tech02:32 Scaling Lightning like the early internet04:52 Technical requirements of nodes and channels08:25 Extending the internet's plumbing (OSI Stack)10:57 Bitcoin as an open protocol for trust15:57 Why the Lightning Network needs volume19:33 Why AI agents prefer Bitcoin30:59 Moving money at the speed of intelligence36:45 Will the Federal Reserve use Lightning?48:11 The Nakamoto Effect and Metcalfe's Law

Greg Brady, Gord Perks, Councillor for Ward 4 Parkdale–High Park and Chair of the Planning and Housing Committee and Jamaal Myers, Councillor for Ward 23 Scarborough North and Chair of the Toronto Transit Commission discuss: 1 - Surface parking at GO stations 2 - Extending last call provincewide for FIFA World Cup 3 - Billy Bishop Airport expansion Learn more about your ad choices. Visit megaphone.fm/adchoices

Florence Morin shares her journey from a math teacher and engineer to a successful art educator. Learn how she uses authenticity, targeted marketing, and smart strategies to build a scalable business that aligns passion with profit. In this episode, Dave delves into the entrepreneurial journey of Florence Morin, who transformed her passion for art into a thriving business. She combines digital courses with small physical products to build her million dollar business with a recurring revenue model. If you're interested in making money without buying inventory, this episode is perfect for you. Timestamps 00:00 - Florence's art business and background 00:45 - How Florence runs her business 01:41 - Business revenue 02:49 - Business growth and team dynamics 03:25 - Transitioning to recurring revenue 03:44 - Her business' logistics plan 04:35 - Innovating with small physical products 05:23 - Entrepreneurial journey during COVID 06:09 - Florence's career path and founding story 07:12 - Early ventures and market fit lessons 08:32 - Experimenting with ebooks and trade shows 10:50 - Learning sales skills from conventions  12:14 - Exploring dropshipping and Facebook ads 13:40 - Overcoming dropshipping challenges 14:38 - Online drawing education through webinars 16:00 - Building an audience with Facebook Live 17:02 - Basics of ad targeting for beginners 18:23 - Cost-effective ad campaigns during COVID 19:53 - Scaling workshops to large audiences 21:18 - Aligning offers with customer trust 22:35 - Structuring magazine and course upsells 23:36 - Engaging through live online events 24:25 - Transitioning from free to premium content 26:45 - Using physical products to introduce digital education 28:34 - Targeting different artist skill levels 30:18 - Scaling teaching and content creation with a team 32:44 - Maintaining authenticity in branding 34:51 - Replicating the model across niches 37:33 - Challenges of social media reliance 41:04 - Measuring ad performance and customer value 44:44 - Creating effective sales pages 45:44 - Extending business reach online Resources Flo Morin's Facebook Page Florence Morin's Instagram

BUFFALO, NY — May 20, 2026 — A new #editorial was #published in Volume 18 of Aging-US on May 18, 2026, titled “Public health in the age of longevity interventions: from prevention to system-wide resilience.” The editorial was authored by Jochen Mierau from the University of Groningen and Aging-US Editor-in-Chief Marco Demaria from the University of Groningen and European Research Institute for the Biology of Ageing (ERIBA). In this editorial, the authors examine how modern public health systems may need to evolve as aging populations increasingly face chronic disease, frailty, multimorbidity, and progressive loss of function rather than the acute infectious diseases that shaped 20th-century medicine. The authors argue that many of the greatest gains in human lifespan historically came not from advanced medical technologies, but from broad public health interventions such as sanitation, vaccination, improved nutrition, occupational safety, safer housing, and access to education. While these measures remain essential, they suggest that modern aging societies now face a different challenge: extending healthspan alongside lifespan. The editorial highlights how today's health risks accumulate gradually across the life course through environmental, metabolic, social, and behavioral exposures. Ultra-processed foods, pollution, tobacco, alcohol, sedentary lifestyles, climate-related stressors, and social isolation are described as contributors to accelerated biological aging and increased vulnerability to chronic disease. The authors emphasize that these interconnected exposures cannot be fully addressed through disease-specific treatment alone. “Rather than representing separate or competing domains, these approaches should be viewed as complementary components of a unified strategy to improve population health across aging societies.” A major focus of the article is the growing scientific interest in longevity-directed interventions that target core biological mechanisms of aging. The authors discuss pathways including cellular senescence, chronic inflammation, metabolic dysfunction, and impaired proteostasis, noting that interventions directed at these processes may help delay or modify multiple age-related diseases simultaneously rather than treating each condition individually after it emerges. Importantly, the editorial emphasizes that longevity interventions should not replace either public health or conventional clinical medicine. Instead, the authors propose a coordinated framework operating across the life course. In this model, public health strategies reduce baseline risk and environmental damage, clinical medicine treats established disease, and longevity-focused therapies may help slow biological decline before major pathology becomes clinically apparent. Figure 1 of the paper (page 2) illustrates this proposed multi-layered framework integrating public health, longevity interventions, and disease-specific care across different stages of life. Full press release - https://www.aging-us.com/news-room/extending-healthspan-through-public-health-and-longevity-medicine DOI - https://doi.org/10.18632/aging.206381 Corresponding author - Marco Demaria - m.demaria@umcg.nl Paper Preview Video - https://www.youtube.com/watch?v=KSjfmxpHer8 To learn more about the journal, please visit https://www.Aging-US.com​​ and connect with us on social media at: Bluesky - https://bsky.app/profile/aging-us.bsky.social ResearchGate - https://www.researchgate.net/journal/Aging-1945-4589 X - https://twitter.com/AgingJrnl Facebook - https://www.facebook.com/AgingUS/ Instagram - https://www.instagram.com/agingjrnl/ LinkedIn - https://www.linkedin.com/company/aging/ Reddit - https://www.reddit.com/user/AgingUS/ Pinterest - https://www.pinterest.com/AgingUS/ YouTube - https://www.youtube.com/@Aging-US Spotify - https://open.spotify.com/show/1X4HQQgegjReaf6Mozn6Mc MEDIA@IMPACTJOURNALS.COM

Nuclear advocates are pushing to keep Diablo Canyon – California's only running nuclear power plant – open even longer than planned. The plant passed its final hurdle to run until 2030 last month, but legislators are talking about extending that expiration date even further. Guest: Laura Klivans, KQED While lawmakers debate how long Diablo Canyon should stay open, local support for the nuclear plant is growing. Reporter: Kendra Hanna Learn more about your ad choices. Visit megaphone.fm/adchoices

Are you still using one-factor-at-a-time experiments for biosimilar development, losing months, missing interactions, and risking costly dead-ends?In this episode, David Brühlmann, host of the Smart Biotech Scientist Podcast, reveals how traditional "one factor at a time" screening in biosimilar development can take over 12 months, while the parallel group design massively accelerates discovery by grouping up to five factors per experiment and applying a multivariate analysis pipeline.Topics discussed:The limitations of traditional and large DoE designs and the advantages of parallel group design (00:08)Best practices for grouping compounds by biological mechanism with four essential rules (00:53)The importance of anchor compounds, separating strong modulators, and initial univariate screens for unknown compounds (01:43)Guidance on managing practical issues, including evaporation, liquid handling, osmolality, and replicating production processes (06:42)The use of multivariate analysis tools: Principal Component Analysis, Mahalanobis distance, and decision trees for candidate selection (10:14)Key results and outcomes from applying the parallel group method, including faster and more cost-effective quality modulator identification (12:46)Three improvements David would recommend today: prequalifying compounds, broader quality analytics, and hybrid modeling integration (13:49)The shift in mindset from “time problem” to “information problem” in process development (16:50)Extending the parallel group and multivariate approach to other areas like clone selection and scale-up decisions (17:52)Smart insight:Process development is fundamentally about generating actionable information, not just running more experiments. The parallel group, multivariate pipeline lets teams ask better questions, in parallel, with dramatically improved data yield. This mindset and methodology extend well beyond biosimilar media development into clone selection, feed design, and process characterization, wherever complexity would paralyze traditional approaches.If you want more detail, you can read the full article “Parallel experimental design and multivariate analysis provides efficient screening of cell culture media supplements to improve biosimilar product quality” published in Biotechnology and Bioengineering, which outlines the methods and findings behind this approach.If you're interested in hybrid modeling, here's what previous podcast guests have shared on the topic, offering perspectives from fundamentals to real-world applications.Episodes 05 - 06: Hybrid Modeling: The Key to Smarter Bioprocessing with Michael SokolovEpisodes 99 - 100: From Raw Data to Actionable Insights: Unlocking the Power of Process Models with Fabian FeidlEpisodes 137 - 138: Skip 90% of Bioreactor Runs: The In Silico Revolution in Bioprocess Development with Yossi QuintEpisodes 173 - 174: Mastering Hybrid Model Digital Twins: From Lab Scale to Commercial Bioprocessing with Krist GernaeyNext step: If this was useful, leave a review on Apple Podcasts or Spotify. It helps other scientists find this content, and it genuinely matters.Support the show

In the last decade of a person's life, we spend 7x what we spend on taking care of them in all the years that came before. SEVEN TIMES! That's not only unbelievable, it’s unsustainable, particularly as our aging population grows and life span increases. So, if it’s not just about increasing life span, or the number of years someone lives, what is it about? For Dr. Tzipi Strauss, Founder and Director of the Sheba Longevity Center, it's about increasing health span, that is the number of years a person lives healthily, without the need for significant intervention.  The work Dr. Strauss and her team are doing focuses on longevity. It's a step beyond lifestyle medicine in that they look across all body systems, and at the individual as a whole, to identify their biggest risk factors and what interventions they actually need, not just what the latest fad says. The emphasis on behavior change is significant, and that may be the holy grail, getting people to adopt these healthy changes permanently, but Dr. Strauss finds that when patients see their biological age and the impact of the decisions and choices they've been making, their motivation to change is different. It's data driven. Professor Strauss is a physician-scientist, pediatrician, and neonatologist, and a leading voice in the emerging field of longevity medicine. She is the Founder and Director of the Sheba Longevity Center—one of the first academic longevity centers embedded within a public healthcare system. Her work combines clinical innovation, research, and policy, aiming to transform longevity from a privilege into a scalable, evidence-based public health model.

In this heartfelt episode of Pass the Mic with LA, she reflects on one simple yet powerful word: LOVE. Inspired by 1 Corinthians 13, LA shares encouragement about applying love not only during certain seasons or special moments, but every single day of our lives.This conversation speaks to the heart of:❤️ Loving people genuinely❤️ Extending grace❤️ Walking in kindness❤️ Choosing compassion❤️ And allowing love to guide our actions dailyWhether you're healing, growing, leading, or simply trying to become a better version of yourself, this episode serves as a reminder that love is still one of the greatest gifts we can give.

See omnystudio.com/listener for privacy information.

Supply chain disruption is forcing IT leaders to rethink how infrastructure is planned, deployed, and managed.In this episode of Nutanix Weekly, Philip Sellers is joined by Marcus Barton from Nutanix along with XenTegra Solutions Architects Andy Greene and Chris Calhoun to discuss how organizations are adapting to rising hardware costs, extended lead times, AI-driven infrastructure demand, and evolving operational challenges.The team explores why flexibility, workload portability, and hybrid cloud strategy are becoming essential components of modern infrastructure planning. From Nutanix Cloud Clusters (NC2) to extending hardware lifecycles and supporting multi-vendor environments, the conversation focuses on practical ways organizations can maintain momentum despite ongoing supply chain uncertainty.Topics include: AI infrastructure demand and supply chain pressure  Hybrid cloud and workload portability  Nutanix Cloud Clusters (NC2)  Multi-vendor infrastructure flexibility  Extending hardware lifecycles  Security and compliance considerations  Infrastructure resilience and modernization  Automation and lifecycle management As organizations continue balancing operational stability with digital transformation initiatives, infrastructure adaptability is quickly becoming a business necessity.Read the related blog: How Nutanix Helps IT Teams Navigate Supply Chain Volatility

Abby Martin, an investigative journalist and advocacy filmmaker, exposes the catastrophic environmental and human costs of US militarism, arguing that the Department of Defense represents a singular, yet intentionally obscured, force of global ecological destruction. Drawing on her reporting for The Empire Files and her latest film, Earth's Greatest Enemy, Martin discusses the institutional mechanisms that allow the military to remain exempt from international climate agreements, effectively functioning as a “blind spot” in mainstream environmental discourse while operating as the world's largest institutional polluter. She challenges the “bipartisan consensus” for US imperialism, criticizing a “media blackout” orchestrated by corporate journalists—or “empire babies”—who normalize systemic violence while placing the burden of environmental responsibility on individual consumers. Extending the discussion beyond carbon emissions, Martin examines the toxic legacy of military operations, from the generational radioactive contamination caused by depleted uranium to the domestic betrayal of service members at Camp Lejeune. She contends that the current global atmosphere of “manufactured amnesia” masks the reality of an empire in its “waning” stages, which increasingly relies on emergency powers and state-sponsored censorship to maintain its grip amid growing public dissent. Reflecting on the ongoing crisis in Gaza and the historical precedents of US interventionism, Martin suggests that anti-imperialism and climate justice are naturally interlinked, viewing her work as a “tool in the arsenal” for movement building aimed at reclaiming transparency and justice within a crumbling global order. Get full access to Savage Minds at savageminds.substack.com/subscribe

Podcast moderator Lejla Vajzovic, MD, sits down with Robert L. Avery, MD; Carl D. Regillo, MD; and Durga S. Borkar, MD, MMCi, to explore how new therapies hold promise for extending treatment efficacy in patients with wet AMD. They touch on various drug delivery platforms, gene therapy, tyrosine kinase inhibitors, and the challenges of drug development and approval. 

Hosts Regan Brown, along with co-hosts Bill Mann, General Manager at Paradise Pools, and Brad Bacome, Certified Community Manager at The Manor, are joined by Rick Scheibley, Owner of Reliable Pavement Services, to discuss strategies for extending the lifespan of asphalt through proactive planning and expert evaluation. Rick shares insights on site inspections, strategic scheduling, and owner-focused scope development, while highlighting how HOAs and community managers can avoid common pitfalls such as underfunding, poor repairs, and unexpected damage. The conversation emphasizes the value of annual reviews, thorough property walks, and effective reserve planning to reduce long-term costs and improve pavement performance.

Before we dive in, sign up here for the May 12, 2026, webcast that we mentioned.Now on to our discussion...In this podcast episode, we explore what truly drives a consistent meeting room experience, and why simplicity, not over‑engineering, is the key to adoption. The conversation highlights how Neat's consistent product portfolio, paired with built-in machine learning and AI, creates intuitive, reliable experiences for both in-room and remote participants.Learn more about Neat solutions. The “Secret Sauce” of ConsistencyNeat's approach is rooted in two foundational elements:Consistent factors across Neat bars and boards, creating a familiar look and feel in every space.Machine learning and AI run behind the scenes to automatically optimize audio and video—whether a room uses a single device or multiple Neat devices for enhanced experiences in larger spaces.The result: better audio, better video, and a seamless experience without added complexity.Designed for the Way People Actually MeetRather than over-engineering meeting rooms, Neat focuses on what users actually want:Walk into the roomTap “Join” on the touch padStart the meetingToo often, complex rooms with multiple controllers, phones, cables, and presets discourage use altogether. Scalable, Without ComplexityNeat enables organizations to:Establish a standardized room experienceEasily scale and enhance rooms by adding multiple Neat devicesAvoid manual camera presets, audio tuning, or configuration changesOnce devices are added, Neat's intelligent technology handles the rest—automatically.Extending the Experience to Remote ParticipantsConsistency doesn't stop at the room; it extends to remote workers as well. With Neat devices like Neat Frame, remote participants benefit from:Easy meeting join experiencesHigh-resolution video and automatic framingClear audio that makes it feel like you're in the roomImproved engagement through facial expressions and direct conversation, even in large meetingsWhether at a desk, in a private office, a hot‑desking location, or a huddle space, the experience remains consistent everywhere.Visibility, Insight, and ReadinessWe also touch on how organizations can understand whether their spaces are being used and ready when needed, using:Neat Pulse for device and space insightsIntegration with Symphony for enhanced monitoring and managementLearn more about Neat solutions.Get AV and unified communications news delivered to your inbox.Follow AVI-SPL:     Linkedin      X     YouTube

HOUR 4: Liquor sales are extending to 23 hours a day for the World Cup, but Mayor Q says it's a bad idea. full 2125 Thu, 07 May 2026 22:00:00 +0000 MgBXhwBREtCrqYZ84m6OG50UKk9LSVLQ news The Dana & Parks Podcast news HOUR 4: Liquor sales are extending to 23 hours a day for the World Cup, but Mayor Q says it's a bad idea. You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News False

Peter McCullough, an internist, cardiologist, and epidemiologist, reflects on the political, medical, and social consequences of the COVID-19 pandemic, arguing that the global response fundamentally altered public trust in science, medicine, and democratic institutions. Drawing on his background in cardiovascular medicine and public health, McCullough discusses studies he believes demonstrate links between mRNA vaccines and myocarditis, sudden cardiac arrest, and broader cardiovascular complications, while explaining the biological mechanisms behind troponin elevation and inflammatory damage within heart tissue. He challenges mainstream public health narratives surrounding vaccine safety, criticizing what he describes as the suppression of dissenting medical voices and the failure of institutions to adequately investigate adverse events associated with mass vaccination campaigns. Extending the discussion beyond medicine, McCullough examines the broader political and cultural atmosphere that emerged during lockdowns, including censorship, social compliance, economic devastation, and the normalization of emergency powers across Western democracies. He argues that public discourse during the pandemic was shaped by coordinated messaging between governments, media organizations, pharmaceutical companies, and global institutions, creating a climate in which skepticism toward official policy became socially and professionally dangerous. Reflecting on athlete deaths, VAERS reporting controversies, vaccine mandates, and unresolved questions surrounding the origins of COVID-19 and the Wuhan laboratory, McCullough contends that the pandemic exposed deep contradictions within modern liberal societies concerning bodily autonomy, transparency, and informed consent. Yet amid this, he points to growing public skepticism toward institutional authority, suggesting that the long-term legacy of the pandemic may ultimately be a broader reevaluation of the relationship between citizens, governments, and public health systems. Get full access to Savage Minds at savageminds.substack.com/subscribe

Meet Claire DeLay—foster, bio, and adoptive mom, business owner, wife, and friend. In this week's episode, we hear more of Claire's story and how Christ has led her and her husband in Oklahoma. While fostering can often feel overwhelming or out of reach, Claire offers a refreshing perspective that invites all of us to consider how we can show up, love others well, and make meaningful sacrifices in our everyday lives. Craving more from Going There the Podcast? Come be our friend! Make sure you're following along on Instagram @goingtherethepodcast and subscribe to our podcast so that you never miss a new episode! If you love what you heard, we'd be so happy if you left us a rating and review on your podcast app. This way, more people can find us and join our fun convo!

Scripture Reading: Luke 10:35-40

SAP's Customer Care and Partner Success team welcomes Daniel Deutsch and Juergen Ravnik from SAP Partner All for One. Together, they explore how All for One builds side-by-side extensions on SAP BTP to extend SAP Cloud ERP without touching the clean core. The guests present two solutions, share their experience collaborating with SAP through the Partner Co-Innovation Discovery Program. Discover how multi-tenancy, ERP-agnostic design, and direct SAP expert access shape scalable cloud solutions. Follow Inside SAP S/4HANA Cloud for more expert insights! Have a question or idea? Join the conversation in the episode comments on Spotify or send an email to insides4@sap.com

The tone in Philly is shifting — this is no longer just offseason talk. We're diving into the real pressure points: who's actually stepping up behind the stars, which position battles are starting to matter, and whether this roster has real depth heading into 2026. Plus, what we're hearing coming out of early team activity and why expectations might be higher than people think — we're breaking it all down!Privacy & Opt-Out: https://redcircle.com/privacy

Nader Hashemi, Director of the Alwaleed Center for Muslim-Christian Understanding at Georgetown University, reflects on how his experience of the 1979 Iranian Revolution shaped a lifelong inquiry into the fraught relationship between religion, secularism, and democracy. Hashemi situates his intellectual trajectory within the tension between a Western secular framework—often equated with progress—and its very different reception across the Middle East, where it has frequently been associated with authoritarianism and externally backed regimes. He challenges dominant Western narratives about Iran and the region, arguing that media and policy discourses systematically erase the historical context of colonial intervention, coups, and geopolitical interests that continue to structure contemporary conflicts. From the Green Movement of 2009 to the Women, Life, Freedom protests, Hashemi examines the internal struggle for democratic reform under conditions of repression, economic sanctions, and external pressure, emphasizing how these forces have eroded the social base necessary for sustained change. Extending the discussion to Gaza, Israel-Palestine, and broader regional dynamics, he highlights the stark double standards in Western foreign policy and the persistence of imperial logics beneath the language of human rights. Yet, amid this, Hashemi points to a generational shift: younger audiences, shaped by social media and alternative information flows, are increasingly able to challenge entrenched narratives and recognize the contradictions at the heart of the so-called rules-based order. Get full access to Savage Minds at savageminds.substack.com/subscribe

On Friday, key language in the proposed crypto legislation was updated to restrict crypto companies from paying savings account-like interest or yield to users on passive stablecoin deposits – leaving that function to traditional banks. However, the bill does allow rewards as usage-driven incentives that could be tied to activity like trading, transactions or staking, as expected.~This episode is sponsored by Tangem~Tangem ➜ https://bit.ly/TangemPBNUse Code: "PBN" for Additional Discounts!00:00 Intro00:10 Sponsor: Tangem00:40 Thilis and Alsobrooks finally01:00 Odds skyrocket01:30 Coinbase says banks won01:45 Extending to Coinbase02:15 Brian says mark it up02:30 Treasury has power to police04:30 Duration and tenure05:40 Tim Scott/ETH responded06:00 Grassley hurdle06:40 What about ethics tho?07:00 May 11th07:45 The Perfect run08:30 Gamestop CEO breaks CNBC hosts brains11:15 Conference week#Crypto #bitcoin #ethereum~CLARITY Deal Reached!

In this must-listen episode, Dennis sits down with Dr. Jon Andrews—former 5th and 20th Group Special Forces medic turned Duke-trained anesthesiologist (pediatric & cardiac fellowships)—to tackle one of the biggest headaches in austere medicine: you have a tiny box of opioids and ketamine, a long mission, and a patient who needs to stay alive AND comfortable.They break down exactly how to stretch every milligram using real OR strategies adapted for prolonged field care: patient-specific planning, smart titration, multimodal synergy, regional blocks, ketamine myths, and when (and how) to layer non-narcotics without crashing your patient or your supply.Why this episode matters: Acute pain becomes chronic pain. Chronic pain leads to opioid dependence, PTSD, and worse outcomes. In the field, your choices today shape your patient's tomorrow—and whether you still have meds left when the next casualty shows up.Key TakeawaysStart low, titrate smart. Cut your first dose in half on sick or unstable patients. You can always give more—never the other way around.Multimodal is mission-critical. Hit pain from every angle (blocks + ketamine + acetaminophen + judicious NSAIDs) to dramatically reduce opioid requirements and prevent chronic pain pathways.Ketamine IS an analgesic. It's not just dissociation—it's an NMDA antagonist that blunts central sensitization and has proven opioid-sparing effects.Schedule your non-opioids. Acetaminophen (1 g IV/PO/PR q6h) and longer-acting adjuncts form your baseline; use fentanyl or morphine only for breakthrough.Blocks beat everything—if you can do them. Pre-emptive regional anesthesia (when feasible) is the single highest-yield move before surgical stimulus hits.Monitor like your life depends on it. Heart rate, blood pressure, and respiratory rate are your best pain score when the patient can't talk.Plan for worst-case evacuation. Bring more than you think you'll need and dose for the opioid-naïve or opioid-tolerant reality in front of you.Why treating hypertension in the OR (or field) almost always starts with fixing pain firstThe “start low, see response, add more” mantra every austere provider needsWhy Tylenol often performs as well as morphine in blinded ED studies (and why your patients still doubt it)Real talk on ultrasound-guided blocks in 2011 vs. today—and why proficiency still mattersThe dangerous synergy of opioids + benzos + ketamine on respiratory driveWhy you must get comfortable decreasing doses, not just ramping them upChapters01:55 – The austere reality: limited narcotics and why your favorite med won't last forever03:37 – OR planning vs. field reality: opioid-naïve vs. chronic users05:57 – Multimodal analgesia explained (blocks, ketamine, Tylenol, NSAIDs, dexmedetomidine)08:28 – Patient & mission factors that should drive your loadout12:23 – Golden rule: start low, titrate to effect, monitor vitals15:05 – Sick-patient hack: cut your mental dose in half16:01 – Is ketamine actually an analgesic? (NMDA, opioid-sparing, PTSD data)19:12 – Extending your supply: bolus vs. infusion, redosing strategy24:27 – First-line multimodal choices in the field27:43 – Juggling multiple agents: timing, scheduling, and longer-acting blocks30:15 – Regional anesthesia timing—pre-emptive is king (post-injury limitations)32:48 – Ultrasound & blocks in the current PFC world35:08 – Safety considerations for adjuncts (liver, kidneys, bleeding, alcohol)36:59 – Bang-for-buck data on Tylenol vs. morphine38:55 – Practical integration: layering Tylenol/ketamine with fentanyl titration41:54 – Getting comfortable titrating down (and why pain scores can lie)42:53 – Final wisdom: use everything you're comfortable with.For more content go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.prolongedfieldcare.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Consider supporting us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/ProlongedFieldCareCollective⁠⁠⁠⁠⁠⁠ or ⁠⁠⁠⁠⁠⁠www.lobocoffeeco.com/product-page/prolonged-field-care

This week, 214 days into a ceasefire, Israel has killed at least 828 Palestinians in Gaza. Israel extending control of land in Gaza. Israel continues to violate ceasefire agreement with Lebanon. Trump does not rule out new hostilities with Iran. Israel has killed at least 72,608 Palestinians in Gaza since October 7th, 2023. In this episode: Tareq Abu Azzoum, (@abuoazzum) Al Jazeera Senior Correspondent Zeina Khdor, (@ZeinakhodrAljaz), Al Jazeera Correspondent Alan Fisher, (@AlanFisher), Al Jazeera Correspondent Tohid Asadi, (@tohid_._asadi), Al Jazeera Correspondent Obaida Hitto, (@obaida.hitto), Al Jazeera Correspondent Episode credits: This episode was produced and mixed by Marthe van der Wolf. Our sound designer is Alex Roldan. Our lead of audience development and engagement is Andrew Greiner and Munera AlDosari is our engagement producer. Alexandra Locke is The Take’s executive producer. Connect with us: @AJEPodcasts on X, Instagram, Facebook, and YouTube

In the words of the apostle Paul, "For it is by grace you have been saved, through faith—and this is not from yourselves, it's the gift of God" (Ephesians 2:8, NIV). This cornerstone of faith serves as the foundation for our premiere episode, originally aired on September 25, 2023, featuring a profound message from Pastor Charles Barksdale, M.B.E. We invite you to experience this elevated journey into the depths of divine redemption, moving beyond personal effort to embrace salvation as a pure, unmerited gift. Discover how the fullness of God's compassion can transform your life and empower you to extend that same radical love to the world.

NFL Legends James "Deebo" Harrison and Joe Haden react to reports that the Pittsburgh Steelers will not exercise Broderick Jones' 5th year option, Drew Allar drawing Joe Flacco comparisons from Steelers staff, reports that Deshaun Watson has the early advantage over Shedeur Sanders in the Cleveland Browns QB competition, and much more! Download the PrizePicks app today and use code DEEBOJOE to get $50 in lineups after you play your first $5 lineup! https://prizepicks.onelink.me/LME0/DEEBOJOE Timeline:00:00 - Intro10:44 - Steelers declining Broderick Jones’ option19:14 - Drew Allar comparisons27:56 - Deshaun Watson leading Browns QB Battle (Timestamps may vary based on advertisements.) #Club #NightcapSee omnystudio.com/listener for privacy information.

Seth and Sean discuss what anonymous executives and scouts had to say about the Texans' draft and what Texans GM Nick Caserio had to say on Up and Adams about the Al-Shaair extension and 'going big' in the draft his year.

ALSO: Former Brownsburg child care owner receives prison time in child abuse case, Governor says more emphasis on early childhood learning coming, and the Month of May is here (pace car preview).See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Against all odds this season... Brighton Resort has now announced it's *extending* its season by another week. Joining me live is Vice President of Marketing at Brighton... Jared Winkler.

Preview for Later: HEADLINE: Demanding Consequences for Iranian Misbehavior GUEST: Mary KisselSUMMARY: Kissel argues against indefinitely extending the Iran ceasefire, citing several broken terms by the regime. She advocates for clear consequences, suggesting the president should not be "strung along" by Iranian tactics.1701

AP's Lisa Dwyer reports on a waiver extension for shipping.

Today, we check in a year after the first Unsupervised Learning x Latent Space Crossover special to discuss everything that has changed (there is a lot) in the world of AI. This episode was recorded just after AIE Europe, but before the Cursor-xAI deal.Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what's real today, what will be real in the future and what it means for businesses and the world - helping builders, researchers and founders deconstruct and understand the biggest breakthroughs.Thanks to Jacob and the UL production team for hosting and editing this!Jacob Effron* LinkedIn: https://www.linkedin.com/in/jacobeffron/* X: https://x.com/jacobeffronFull Episode on Their YouTubeWe discuss:* swyx's view from the center of the AI engineering zeitgeist: OpenClaw, harness engineering, context engineering, evals, observability, GPUs, multimodality, and why conference tracks now reveal what matters most in AI* Whether AI infrastructure has finally stabilized: why “skills” may be the minimal viable packaging format for agents, why infra companies have had to reinvent themselves every year, and why application companies have had an easier time surviving model volatility* The vertical vs. horizontal AI startup debate: why application companies can act as the outsourced AI team for enterprises, why some horizontal companies still matter, and why sandboxes may be the clearest reinvention of classic cloud infrastructure for the AI era* The “agent lab” playbook: starting with frontier models, specializing for your domain, then training your own models once you have enough data, workload, and user behavior to justify the cost and latency savings* Why domain-specific model training is real, not just marketing: how companies like Cursor and Cognition can get users to choose their in-house models, and why search, domain specialization, and distillation are becoming more important* Open models, custom chips, and alternative inference infrastructure: why swyx has turned more bullish on open source, why non-NVIDIA hardware is suddenly getting real attention, and why every 10x speedup can unlock new product experiences* What it means to sell to agents instead of humans: why agent experience may mostly just be good developer experience by another name, why APIs and docs matter more than ever, and how pretraining-data incumbents are compounding advantages in an agent-first world* Why memory and personalization may become the next big wedge: today's models mostly reward frequency of mentions, but in the future, swyx expects product choice to be shaped much more by personalized memory systems* The state of the AI coding wars: why coding has become one of the largest and fastest-growing categories in AI, how Anthropic, OpenAI, Cursor, and Cognition have all ridden the wave, and why the category may still have more room to run* Capability exploration vs. efficiency: why the industry is still in a token-maxing, experiment-heavy phase where people are rewarded for spending more rather than less* Claude Code vs. Codex and the strange stickiness of coding products: why first magical product experiences may matter more than expected, and why the bigger mystery may be why only a few names have emerged as real winners so far* What the end state of the coding market might look like: two major players, a longer tail of niche products, and possible disruption if Microsoft, Mistral, xAI, or the Chinese labs push harder into coding* Where application companies still have room against the labs: why frontier labs are trying to expand into verticals like finance and healthcare, but still leave space for focused companies that own the workflow and the last mile* Why coding may be a preview of every other AI market: the first category to truly go parabolic, the clearest example of foundation model companies colliding with application companies, and a template for how future vertical AI markets may develop* Why AI valuations now feel unbounded: from billion-dollar ARR products built in a year to trillion-dollar market caps, swyx and Jacob unpack how the AI market has broken traditional startup intuitions about scale and durability* Consumer AI vs. coding AI: why ChatGPT's consumer category may have plateaued on frequency and product design, while coding continues to feel like a daily-use category with real momentum* The next product frontier beyond coding: consumer agents, computer use, and “coding agents breaking containment,” with swyx's thesis that 2025 was the year of coding agents and 2026 may be the year they begin to do everything else* Whether foundation models are really killing startup categories: why swyx is less worried for early founders, more worried for mid-size startups and traditional SaaS, and why building something ambitious may now be the best job interview for a frontier lab* AI vs. SaaS and the internal culture war around adoption: the tension between AI-native employees who want to rip out expensive software and skeptics who think quick AI-built replacements create fragile systems* Why traditional SaaS may be under real pressure: swyx's own experience spending six figures on event and sponsor management software, the temptation to rebuild it cheaply with AI, and the broader question of whether teams will trust custom AI-native replacements* Biosafety, security, and frontier model access: why swyx raised biosafety at a dinner with Anthropic's Mike Krieger, why Krieger argued security is the bigger issue, and what restricted model releases reveal about Anthropic vs. OpenAI* The era of giant models: why 10T+ parameter systems may only be a temporary rationing phase before bigger clusters arrive, why labs may increasingly keep their most powerful models private for distillation, and why scale alone no longer feels like a complete answer* Memory as the slowest scaling factor in AI: why context windows have improved far more slowly than people hoped, why million-token context still has not changed most real workflows, and why memory may be the key bottleneck for the next generation of systems* What swyx changed his mind on in the past year: becoming more bullish on open models, more convinced that the top tier of agent startups behaves very differently from the median AI company, and more optimistic about fine-tuning and specialized model adaptation* “Dark factories” and zero-human-review coding: the next frontier after zero human-written code, where models not only write the code but ship it without human review, forcing companies to rethink testing and verification from first principles* Why RL and post-training may matter more than people assumed: even if the resulting models get thrown out every few months, the data, workflows, and domain-specific improvements persist* Synthetic rubrics, Doctor GRPO, and multi-turn RL: why reinforcement learning is becoming much more domain-specific and multi-step than many people realize, opening the door to much deeper customization* The next frontier after coding: memory, personalization, and world models, including why swyx thinks world models matter not just for robotics or gaming, but for giving AI something closer to lived understanding* Fei-Fei Li, spatial intelligence, and the Good Will Hunting analogy: the idea that today's LLMs may know everything by reading it all, but still lack the lived experience that turns knowledge into a deeper kind of intelligenceTimestamps* 00:00:00 Intro preview: AI coding wars, startup pressure, and market structure* 00:00:28 Welcome to the Latent Space × Unsupervised Learning crossover* 00:01:17 What AI builders are focused on now: OpenClaw, harnesses, and infra* 00:04:33 Why AI infra is harder than apps, and where startups can still win* 00:06:39 Should companies train their own models?* 00:09:28 Open models, custom chips, and the new inference race* 00:11:25 Designing products for agents, not just humans* 00:16:49 The state of the AI coding wars in 2026* 00:19:27 Capability exploration, token-maxing, and why coding is going parabolic* 00:21:41 What the end state of the coding market could look like* 00:23:50 Where app companies still have room against the labs* 00:27:02 Why AI valuations and market swings feel unprecedented* 00:28:56 Consumer AI vs. coding AI, and why sticky products still matter* 00:32:28 What the next breakthrough product experience might be* 00:32:53 2026 thesis: coding agents break containment and eat the world* 00:35:27 Are foundation models wiping out startup categories?* 00:37:33 AI vs. SaaS, vibe coding, and internal team tensions* 00:40:01 Biosafety, security, and the politics of restricted model releases* 00:42:19 Giant models, compute constraints, and the limits of scale* 00:44:30 Memory as the real bottleneck in AI* 00:44:57 Why swyx changed his mind on open models* 00:47:44 Dark factories and the future of zero-human-review coding* 00:49:36 Why post-training and RL may matter more than people think* 00:51:50 Memory, world models, and the next frontier of intelligence* 00:53:54 The Good Will Hunting analogy for LLMs* 00:54:21 OutroTranscript[00:00:00] swyx: Isn't that crazy? That number is just mind boggling.[00:00:03] Jacob Effron: What is the state of the AI coding wars today?[00:00:05] swyx: We're in a phase of sort of like capability exploration. The general thesis that I have been pursuing now is that the same way that 2025 was a year coding agents 2026 is coding agents breaking containments to do everything else.[00:00:16] Jacob Effron: Do you worry about the foundation models just getting into a bunch of these startup categories?[00:00:21] swyx: Mid-size startups. Yes.[00:00:23] Jacob Effron: What do you think the end state of this market is[00:00:25] swyx: for the market structure to, to significantly change? There would be[00:00:28] Jacob Effron: today on unsupervised learning. We had a, a fun episode and what's really become an annual tradition, a crossover episode with our friends at Latent space.Swix and I sat down and we talked about everything happening in the AI ecosystem today. What we thought of the various changes at the model layer, what's happening in the infra world, the coding wars, and a bunch of other things. It's a ton of fun to do this with someone I really respect and another great podcaster in the game.Without further ado, here's our episode. Well switch. This is, uh, super fun to be back with another unsupervised learning, uh, latent space crossover episode.[00:01:02] swyx: Yeah,[00:01:02] Jacob Effron: I feel like a lot of places we could start, but you know, one thing I always find fascinating, uh, about the way you spend your time is you obviously are like at the epicenter of this engineering movement and community, and you run these events and conferences and put on these.Awesome talks and, and I think just have a great pulse on the zeitgeist of what's going on.[00:01:16] swyx: Yeah.[00:01:17] Jacob Effron: Maybe to, to start just what are the biggest topics people are thinking about right now?[00:01:21] swyx: Yeah, so I just came back from London, uh, where we did a IE Europe and we're doing roughly one per quarter now, which Yeah, you've[00:01:27] Jacob Effron: really up[00:01:27] swyx: the, hopefully[00:01:28] Jacob Effron: up the, up the pace.[00:01:29] swyx: It's trying. We're trying to match AI speed, youknow?[00:01:30] Jacob Effron: Yeah, exactly. The tops would be completely different, I imagine. Uh,[00:01:33] swyx: yeah. You know, I definitely curate the tracks, like you can see what I think. When you see the track list and the, the speakers that I invite, obviously Open Claw is like the story of the last four or five months, and then be, be just below that.I would consider harness engineering, context engineering to be two related topics in agents and rag. And then there's a long tail of Evergreen stuff like evals, observability, GPUs, uh, and uh, LM infra and just general, just in general. We also have other updates on like multimodality and, uh, generative media, let's call it.Um, but I definitely, the, the first three that I mentioned are top of mind people. Yeah.[00:02:13] Jacob Effron: I think harness is particular like, so interesting. Um, you know, there was this tweet from Harrison Chase, the, the lane chain, CEO, that, that caught my eye recently where he said, you know, it finally feels like we have stability, uh, around the infrastructure for, uh, you know, around ai.And I think what. He basically was implying his like, look over the past two, three years as a company at the epicenter of AI infrastructure, it was a bit like playing whack-a-mole, right? You were constantly moving around with, however, the building patterns were evolving[00:02:36] swyx: for Harrison for sure. Right? Like he's basically had to reinvent the company every year since he started Lang Chain.Right? It was Lang chain, Ang graph and LP agents and like, uh, I think he's like one of the most nimble, adept sharp people about this. Yeah. Yeah.[00:02:49] Jacob Effron: Saying now, now is finally the time stability[00:02:51] swyx: this. Yeah.[00:02:52] Jacob Effron: Yeah. Um, do you buy that or what have you kind of make of that take?[00:02:56] swyx: I think that. It, it's very expensive to say this Time is different sometimes, but when you're just writing code, like it's actually okay to just like try to make a call and I think it may not even matter if this call is right or not.Like I just don't even care that much because you can be right on a thesis, but if you don't, you don't figure out how to monetize the thesis, then who cares if you said something first that said, um, it does feel like, for example. Uh, we went through a lot of different ways of passion packaging integrations up with, uh, with agents.And it feels like we've landed at skills, which is like the minimal viable format. Yeah. Which is just a markdown file, uh, with some scripts attached to it, and I don't see how it can be more simple than that. And so there is some justification for. The stability around harnesses. I feel like there may be more adaptation with regards to maybe like the real time elements or subagents or memory or any of those like agent disciplines, let's call it in, in agent engineering.Uh, but if, if the thesis is that, okay, you just want agents are LMS with tools in the loop with a file system, what they can do. Retrieval with, with skills and all these like standard tooling that now seems to be relatively consensus then probably. That makes sense. Um, I just think like there's no point trying to stake your reputation on this thesis that we're there because if it changes again, just change with it.It's fine.[00:04:33] Jacob Effron: Yeah. It's always, you know, I've always been struck by how that is. Much more challenging for infrastructure companies and application companies. Like obviously I think, yeah. You know, on the application side you've seen, you know, Brett Taylor from Sierra Max, from Lara. Like, they're like, look, we build, you know, what's ahead of the models and we're willing to throw everything out every three months, you know, as the models get better and better.Exactly. Yeah. But the thing you at least have there is you have. Uh, you have an end customer, right? That's like decently sticky. Um, you know, they will mostly stick, you know, they'll, they'll give you a shot at least of, of building these things. What I've always found more challenging, uh, at, at the kind of like, you know, reinvent yourself every three months of the infrastructure layer, it's like, you know, developers are definitely a, a pickier audience maybe than an accounting firm or, uh, you know, a bank.Yeah. And so it's definitely a, a, a more challenging position to be in to, to have to constantly reinvent yourself.[00:05:17] swyx: Yeah. Yeah. Yeah. And, and like when they turn, it's like. Very complete. Like, they'll leave to like the, the hot new thing, uh, because there's like no defensibility, I guess. Like e even, even if you are a database, like, uh, people can migrate workloads off databases.Like it's, it's a, it's a known thing. Uh, so I think like basically what we're talking about is the vertical versus horizontal, uh, debate in, in AI startups. And uh, the way I think about it also is just that like when you are. Um, Lara, when you are a bridge, like you are the outsource AI team, right? You, you are, your job is to apply whatever state ofthe art AI methods.[00:05:55] Jacob Effron: Yeah. Like this translation layer between model capabilities and your[00:05:57] swyx: own customers. Yeah. To, to the end customers and like, well, if they didn't have you, they would've to hire in house and they're not gonna hire in house so they have you. And like, I think that's like a reasonable, like very robust to any whatever trends and, and discoveries that people make in, in the engineering layer.I do think like there is, um. It like sort of useful horizontal companies being built, but they're all. Very much like, sort of like the reinventions of classic cloud in the AI era and the, the primary one being sandboxes. Yeah. Um, which like, it's another form of compute guys, like, let's not get too excited about it.But I mean, like the, the workloads are enormous.[00:06:38] Jacob Effron: Right.[00:06:38] swyx: Yeah.[00:06:39] Jacob Effron: It's interesting, and I feel like as, as part of this, you know, the questions that folks are asking around infrastructure, there's a lot around, you know, the extent to which companies should have their own AI teams and what they should be doing in-house.And, you know, uh, I think there's questions around should people be training their own models? Should people be doing, you know, rl, uh, in-house based on the data they have? I feel like, you know, one has to evolve their takes on this every, every three months with paces. But where, where are you at on this today?[00:07:00] swyx: I think, well, I mean actually all models have gone up. Um, and obviously I'm involved in cognition and also cursors doing, doing, uh, a lot of own model training. And I think that that is some part of the, what I've been calling the agent lab playbook, where you start off with the state of the art models from, uh, from the big labs and you, uh, specialize for your domain.But once you have enough workload and enough high quality data from your users, then you can obviously train your own models and like save a lot on cost and latency and all that, all that good stuff. Um, you also get like a marketing bonus of like calling it some fancy name and putting out some research[00:07:38] Jacob Effron: from my seat.I can't tell how much of it is like actual, you know, value that's provided to the end user. And how much of it is that marketing bonus? Right. It seems some combination of the[00:07:45] swyx: I think it's both.[00:07:46] Jacob Effron: Yeah.[00:07:46] swyx: Um, no, no. There, there actually is real value. Um, and you, you know that for a number of reasons. Like one, even when it's not subsidized, people do choose it as like one of the top four or five.This is both composer two and, uh, suite 1.6 I one of the top five models. Like in a, in a fair market? In a free market, yeah. In a, in a, in a model switch. Or people do choose it and like, it's not subsidized. Like, so that's as good as it gets. Uh, but beyond that, like domain specific models, for example. For search with, with both, which both companies have absolutely makes, makes a ton of sense.Everyone says like, yeah, we should always, always do this. And honestly like, I think the infrastructure for that is becoming easier with, um, like thinking machines tinker thing as well as primary like, uh, lab stuff. Yeah, I mean like, this is one of those like reversal of the, the bitter lesson where you first bootstrap on the large models and the general purpose models to get big.And as you get very well-defined workloads that are just high quantity but not high variance, um, then you just distill down to a smaller model and run that on your own. Right. Which like totally makes sense.[00:08:50] Jacob Effron: What I'm less clear on is the kind of DIY RL use case, which I think is really mostly around, you know, improved, uh, quality for, for different things.Obviously there's probably like more efficient ways to, you know, get a smaller model that's that's faster and cheaper. And it'll be interesting to see whether. You know, obviously you had, you know, uh, two, three years ago this whole case of companies that were, you know, pre-training and claiming better outcomes in, in their domains than getting kind of cooked as each model iteration improved.You know, I wonder whether that's a, a similar story plays out in the, uh, in, in the, our all space. Yeah, for the focus on, on on pure outcomes and quality, not the cost side, which clearly your own models for cost at scale makes a ton of sense.[00:09:28] swyx: I think there are this, there are two sides of the same coin.Like you basically always want to hold, uh, quality constant or trade off a little bit of quality for a drastic decreasing cost. And that's true for everyone. Uh, one element I wanted to bring out, which is very much in favor of open models, is custom chips. So this would be cereus, but also talu. And then there's a huge range of stuff in between.This has been a huge story this past year on just like everything non Nvidia is getting bid up, including like freaking MatX is working for, which is very, which is very rewarding for me, but I think one of those things where like, oh, like the suddenly, because the number of alternative. Hard, uh, hardware is increasing and the inference that you can get is insanely high.Like, um, we're talking thousands of tokens per second instead of less than a hundred. So the trade off for qua quality doesn't hold as much anymore because the speed is so high.[00:10:24] Jacob Effron: Have you seen a lot of companies go all in on the alternative chip?[00:10:26] swyx: So cognition has Yeah. On Cerebras, uh, and, and so has OpenAIUm, uh, and so no, I don't think so beyond that, uh, and that, do you think that's like a, that's mostly, that's foreshadowing of, that's, yeah. I used to be kind of a skeptic in terms of like, okay, so what if I get my inference at a hundred to a hundred tokens per second sped up to 200 tokens per second. It's only two X faster.It's not that big a deal. Um, but when you, uh, I think every 10 x does unlock a different usage pattern. Um, and you, we have proof in Talas and, and some of the others. That you can actually, um, drastically imp improve inference speed and what happens from there? I don't even really know, like it's, it's so hard to predict when entire applications just appear at once.Yeah. Uh, and it also isn't that expensive, right? So like, um, this is one of those things where like, I, I think the, the investment cycle is gonna be multi-year. Um, and I. Would caution people to not dismiss it too, too quickly.[00:11:25] Jacob Effron: Yeah. I mean, one other like infra question I was curious to get your thoughts on is obviously it seems increasingly a lot of the cutting edge infra companies are building for agents as the buyers of their product or users of their product, right?[00:11:35] swyx: Ooh,[00:11:36] Jacob Effron: and[00:11:37] swyx: another huge theme. Yeah. Yeah.[00:11:38] Jacob Effron: And I'm trying to figure out like what. What, what do you have to do differently about selling into agents? Um, are they just the ultimate rational developers? Uh, or is there, you know,[00:11:46] swyx: no, absolutely not. Um, I think they are easily prompt, injected and, uh, very tuned towards like, basically com compounding existing winners.[00:11:57] Jacob Effron: Yeah,[00:11:57] swyx: so like if, like, congrats if you won the lottery for getting into the training data right before 2023, because now you're like installed in there for the foreseeable future. But yeah. Uh, you know, one stat that Versal, uh, CTO Malta dropped at my conference was that there are now, uh, 60% of traffic to Elle's, um, like app arch, like admin app architecture for like configuring versal applications, uh, is bought.It's not, it's not human. Uh, so like your primary customer is agents now. Um, and it's mostly co like mostly coding agents, mostly people using CLI on CP or whatever. But yeah, I mean, I think. More. I, I think step one, if it doesn't exist as an API that agents can use, it doesn't exist. Right, right. Which I think is like, uh, it's a good hygiene thing anyway, to, to make everything API available, but not as like an extra, um.Push on like products, people to not only work on the ui, um, you should probably work on the on SCLI stuff. Beyond that, I think honestly there is like, so I, I come from the sensibility of, I think everything that you are trying to do for agents experience now, which is the term that Matt Bowman and Nullify is trying to coin, is the same thing that you should have been doing for developer experience.That you should have had good docs, you should have had a consistent API, uh, that is. Mostly stateless. Um, you should have, I guess, discoverable or progressive disclosure or like search or like whatever. And so now that people have energy in like finding these customers to do that, that's great. Um, do I believe in.Extending beyond that into something like a EO, um, for gaming The chatbots? Not necessarily, but obviously there's gonna be huge advantages when people who figure out the short term wins. Yeah. And short term wins can compound.[00:13:43] Jacob Effron: Do you think these compounding advantages to like the, the pre-training data cutoff companies, like, you know, obviously over some period of time, I imagine that doesn't persist.And so as you think about like. I dunno, three, four years from now what the, you know, selection criteria end up being. Do you think it still mirrors exactly what you were saying before? Like it's exactly what you should have been doing all along to sell a good product to developers?[00:14:01] swyx: It could be, except that I think in three, four years we'll probably have much better memory and personalization.So then general a EO or GEO doesn't really matter as much. So I think whatever memory or personalization system we end up with will probably d determine what you end up choosing much more. Than, than what is currently the case, which is just frequency of mentions, let's call it. Yeah,[00:14:26] Jacob Effron: yeah.[00:14:26] swyx: Uh, so you just spa quantity and I think that's, I mean, that's something I'm looking forward to.I do think, like, like, you know, I, I think that the fundamental exercise to work through for yourself is if you start a new, um, sort of. Uh, disruptor company. Now there's a, there's a big incumbent that everyone knows, like, like superb base. Super base is like, kind of like the Postgres, like database, uh, incumbent.If you wanna start like new superb base, how would you compete with them? And I don't necessarily have the answer, but I, I, I do think like people, like resend like relatively new. I think they would start like 20, 23 and still there was, there was a recent survey where like, people. Checked what Claude recommends by default.If you just don't prompt it with anything, just say, gimme an email provider and says, resent as in like 70, 70% of each cases. Like the fact that you can get in there with like such a relatively short existence, I think is, is encouraging.[00:15:14] Jacob Effron: Yeah.[00:15:14] swyx: I do think like. Um, you do want to do whatever it is to, to like to, to get in that Very short mentions this because, um, it's not gonna be 20 of them, it's gonna be like three.[00:15:26] Jacob Effron: No, definitely. It feels like, uh, you know, probably more, more consolidation than ever. Uh, or, or kind of like, you know, uh, a winner take most market than maybe the, the, the physics of go-to market in the past. Yeah. Might have, uh, enabled.[00:15:38] swyx: The other thing also is like, semantic association is gonna be very important, uh, in the sense that like, you want to do like the combo articles where you're like, use my thing with for sale, with blah, blah.And like that all gets picked up in a, in a corpus. And so that's. Probably one thing that you, you wanna do? Well, I don't know what else. Uh, it's, it's, it's, it's one of those things where like, I think I feel, I feel I'm behind, uh, I don't know how you feel about this, but like,[00:16:04] Jacob Effron: I think AI is just everyone constantly feeling like they're behind some, uh,[00:16:08] swyx: yeah.With,[00:16:09] Jacob Effron: I wanna meet the person that doesn't feel behind,[00:16:11] swyx: but like with, with ax, right? Like, so, so like, my, my stance was that exactly what I said before, like everything that you, that you should do for agents is something that you should have done for humans anyway. Yeah. And so. To the extent that you're just getting it more energy to, to do things for agents, great.But like, uh, it's hard to articulate what new thing apart from just like more spam, um, that you should be doing. Anyway, that would be my take right now. Um, I I, I do think like there, there will be more turns at this. I think the personalization turn that is coming, um, will be big. And I don't know what that looks like because like basically we're kind of, we feel kind of tapped out on the memory side of things.[00:16:49] Jacob Effron: Yeah. I, I guess since we last chatted, you know, you, you took this role over at cognition, um, and you've obviously have a, have a front row seat to the AI coding space today. You know, I feel like coding in many ways. You know, people view it as this, like, I mean, besides being like the, the mother of all markets and this massive opportunity, I think it's kinda a preview of like, what's to come for many other spaces.Both. Yeah. You know, I feel like agents are most advanced in coding. I also feel like the, you know, competition between foundation models and application companies, you know, and, uh, mirrors what we may see in other spaces. And so maybe for our listeners, can you just lay out like what is the state of the AI coding wars today?[00:17:25] swyx: Um, it is massive, right? Like, uh, and I don't think necessarily, last time we talked about this, we appreciated the size of what[00:17:32] Jacob Effron: No, I wish we did.[00:17:33] swyx: I state of AI coding wars today, um, both opening eye philanthropic have made it their p serials to competing coding. Um, and. Tropic is like 2.5 billion in a RR just from Cloud Code.The way they recognize a RR is. Opt for debate, uh, open ai. I don't think the, a public number is known, but let's call it 2 billion as well. And then cursor is like, rumored to be 2 billion, you know? And, and those, those are like the public numbers that are known? Yeah. Um, so like huge markets that have just been created in the past one year.Like, like anthropic, just like Claude Code just recently celebrated their one year anniversary, which is, yeah, pretty nice. Um, so, and then I think, like the other thing that I see is there's, there's some other people who are like, oh, here's like the, the sort of relative penetration of, uh, Claude use cases, right?Like, and it's like coding 50% and then legal, whatever. Health, uh, it's like the, the remaining ones. And there was a very popular tweet that was like, okay, I'll look at the, the empty space and all these other use cases. If you are a new founder today, you should be betting on the other stuff because on, on a sort of catch up Yeah.Theory and my. Consider my, my pushback is the same pushback that, uh, I had on app over Google, which is like, well, well why is this time different? Like, why, if it went from let's say 10 to 50% in the past year, why can't I keep going? Uh, and like getting that wrong is actually a very painful one because you could have just did, did the momentum bet.Instead of the mean reversion bed. So I, I, I think that that is the, the state of things now that people are very, very much into psychosis. Um, they're are getting rewarded for spending more rather than spending less. And I think we're not in that phase of efficiency. We're in a phase of sort of like capability exploration.So I think people who are more crazy, who are more. Uh, creative, um, get rewarded comparatively. Yeah.[00:19:27] Jacob Effron: Well, it's interesting. I mean, it feels like behind these like token maxing, leaderboards and whatnot is this, it's like the first phase of this transition from a workforce perspective is you just gotta show your employer like, Hey, I, I use these tools.[00:19:37] swyx: Here's my nu number of tokens I cost, and that's it. They don't care about the quality. Right. It is, uh, maybe distasteful to someone who cares about the craft and, and all that. Um, but directionally everyone just wants you to go up regardless. And so, um, there it is not very discerning. It's, and it's probably very sloppy, but I think it's net fine because we're still probably underusing ai just in generally.Yeah. Um, and so I think that's like very interesting. Like we had on the podcast, uh, Ryan La Poplar from OBI, who spends a billion tokens a day. Yeah. Um, and that's for those county home, it's like something like 10,000 worth, $10,000 worth a day of API tokens. If they, they did market rates, um, and like most of us can't afford that.Yeah. But like. And, and, and probably a lot of what he does is slop.[00:20:25] Jacob Effron: Right.[00:20:25] swyx: But like, he's going to dis, he's like, if there were a new capability, he would discover it first before you because he was, he was trying and you were not trying. Right. And like, you only do things that work like, well, good for you.But like the, the people who are going to discover the next hot thing are living at the edge.[00:20:42] Jacob Effron: Right and increase in living at the edge of just having the compute budget to like run these experiments. I mean, kind of similar to what living at the edge on the research side has always been. You know, it was constrained in many ways by the amount of compute you had to run these experiments.It feels similarly on the, almost on the builder or like actualizing these tools now.[00:20:56] swyx: Yeah. The other thing that's, I mean, very obvious is philanthropic is kind of like the high price premium player. Um, that where, you know. Restricting limits or restricting model releases even is like the name of the game.Whereas Codex is like, come on in guys, use our SDK, use our login and we don't care. We're gonna reset limits. Whatever you do want to try to exploit the subsidies where you can get it. And definitely Codex is super subsidized right now. Gemini also very subsidized. Um, and. Comparatively, like, I think you should make, Hey, I guess while, while that's going on, it's not that bad to be a capabilities explorer on just the $200 a month plan from Cloud Code or from OpenAI.Um, and, uh, I I, I, my sense is that people aren't even there yet.[00:21:41] Jacob Effron: How do you think this, like, market ultimately plays? I mean, it's obviously such a big market that, you know, any slice of that market is interesting for, for anyone going after it. But I think what, what makes people so interesting in the coding market particularly is it feels like it's kind of this.Foreshadowing of what will happen in other, you know, any other kind of application market that the foundation models eventually turn to and are all their models against and gather data around. And so how do you think, you know, like does there end up being room for lots of different kinds of players or like, what do you think the end state of this market is and is that, do you think that's applicable to other markets?[00:22:10] swyx: I feel like there will be, I mean. Status quo is probably the most likely outcome, which is there are two big players and there's a small range of longer tail people that, um, fit other use cases that the, the two big players don't. That feels right to me. I think that, um, for it to, for the market structure to, to significantly change there would be, there needs to be significant change in like the economics or like the, the brand building or like the, the, the, the value propositions of the, of the companies involved and I.Haven't seen any in the last six months that, that have really changed the stories materially. So I feel like they would just keep going until something, something else happens. Something else happens, meaning like Microsoft wakes up and like goes like. Guys, we have GitHub, we have, uh, you know, we, we, we'll, we'll do something much bigger here than other, other than just copilot.Um, and, uh, that would be a big change. Um, MSL has put out a model now, and I was in a breakfast with, uh, Alex Wang, where they were like, yeah, like, we, we really, really want to go after the coding use case. We haven't done anything yet, but like, don't underestimate them. Right. Um, and, and similarly for the Chinese labs.Um, I think they're trying to go after it. Like ZAI is doing stuff. GLM uh, ZI and GLM is same thing. Um, uh, and, and so it's, so like everyone's trying to get a piece of that pie. I, I feel like the, the status quo has been pretty stable for the past, like almost a year I'll say.[00:23:39] Jacob Effron: Yeah. And is the room for the, not like, you know, for, for the application companies more on like the enterprise side or like where do the, where do the, like what surface area do the model companies leave for application companies?[00:23:50] swyx: Yeah, that's a good one. Um. It's very much evolving. Um, it, I, I, I will say because opening I did not have this, the, this level of attention on coding. Yeah. Uh, a year ago. We just don't have that much history. Right. Um, and it seems like, for example, so the big push at Open I now is the Super app. Um, is that a consumer thing?Is that like a products like. Portfolio rationalization thing, how much is that gonna take away attention from coding at the time when they actually do want to put more coding? I think it's, it's very unclear. So I do think like there's, there's all these, like in both big labs, there's. Uh, sorry. Both of the, and, and drop and, and deep minus and XAI are are separate cases.Um, they are trying to see the other time expansion areas. So cloud code for finance. Yeah. Um, uh, cloud cowork, all those, all those things. Whereas I think cursor and cognition are like comparatively just focused on coding and so I, I do think they leave space and I do think for the other verticals that also means the same thing.Right. That, uh, that they're not gonna be that. Um, intensely focused on, on, on that domain. Except for, I, I think I would mark out finance and healthcare as like the next ones, um, that they're clearly going after. Uh, I, I would say comparatively, healthcare seems more thorny. There, there, there've been some announcements about it, but like, I would respect the, the finance work a lot more just because like the, the path to money is a lot clearer.[00:25:12] Jacob Effron: Yeah, no, I mean, obviously like, I, I think, you know, maybe similar to, to the space that's being left in these other domains, you know, there's obviously. Uh, a lot that's required to actually implement these tools in enterprises, uh, versus, you know, maybe just giving them, uh, giving model access to, to folks outta the box.[00:25:27] swyx: Yeah, yeah. Yeah. So the, the agent lab thing is like, we'll do the last mile for you. Whereas I think the model labs tend to just trust the model and, and be minimalist about it. Both of them work.[00:25:38] Jacob Effron: Yeah.[00:25:38] swyx: I, I don't, I don't necessarily think one, uh, beats the other, uh, for every, for every use case. Um, all I, all I do know is that it does seem like.Uh, the large enterprises do want a dedicated partner that isn't just the model labs, which is kind of interesting.[00:25:55] Jacob Effron: We, we've been in this phase of, of pure capability exploration. And so I think nothing has been, you know, better for the large labs, right? I mean, they're always gonna be, uh, uh, the frontier of, of capability exploration.And so I think have a very good relationship with a lot of these enterprises. But ultimately over time, like. The, uh, the incentive structure of these labs is always gonna be maximal, you know, token consumption for, uh, for the end customers they work with. And there's just, I think, so few companies that have actually gotten to massive scale.Maybe coding again is the most interesting. So it's the first space that really is just completely gone, you know? Yeah. You must love it every day. Like absolutely insane. And. I think it[00:26:32] swyx: gets even. Okay. I mean, like, I think we, we say good things about crystal cognition, but the sheer liftoff of like both end UPIC and open ai.‘cause they, they, they have independent valuations. I mean, let's throw an XEI in there because it's now I ping at 1.2 trillion. That number is just mind boggling. Like I, I feel like in normal investing or normal startups, there's kind of like a ceiling market cap or valuation. Totally. That, that like you, you reach and you go like, all right, let's, it's gonna be chiller from now on.And these guys are not slow down. No.[00:27:02] Jacob Effron: Well, I also think the dynamic is fascinating about some of these later stage companies is, is, you know, in the past, I feel like in, in venture world, if you got to a certain level of scale, the question around you was really more a valuation question. And this is like why there was different phase, like, you know, types of venture people did and like the late stage growth people were just incredible at like, you know, a little bit of what's the ultimate market opportunity of this company, but also what's the right way to, to value it.Like we know it's, it's in some bands of an outcome that is like. Sure there's some variance to it, but it's like relatively understood what that bands is and then maybe you get over time surprised to the upside. Whereas any kind of like later, even the labs themselves, any later stage company, the bands of which that company might be worth right now, even in a year or two years are so massive because of how fast the ecosystem changes that it's like.Even for later stage companies, every three months could be an existential level event to the upside to the downside. Yeah. Um, and I think that, like, you are obviously seeing it in the, in the positive with code, which, you know, if you think about a company like philanthropic, you know, that. For a while, it was like unclear if they were going to have access to enough capital, um, to really stay in the, in the race, right?And then coding hit at the exact right time. They had the perfect model for it. They executed brilliantly. Um, and you know, now are, are, you know, uh, you know, one of the most valuable companies in the world.[00:28:13] swyx: Uh, at the same time, I, I don't find, I, I have zero sympathy for opening eye because they're crushing it and they're all rich.You know, this is like a high class champagne problem to have to, uh, to be number two at coding or whatever. Like, who cares? Like, you're, you're doing great.[00:28:27] Jacob Effron: Yeah. It's funny though. I can't even, I mean, you would be closer to this, uh, you know, even that you're in the AI coding space, but it's like a lot of people I talk to think Codex is just as good, if not better than Claude Code.Right. I think one thing that I've been really surprised by, and maybe, maybe Cloud Code is a better product in some ways, I'm curious your thoughts is just in consumer AI with chat GBT. You saw this big first mover advantage, right? Where admittedly today, like, I don't know, Claude Gemini. Great products.Not sure, not abundantly clear chat GBTs any better, but like. People stick with chat, GBT, it's the first thing to introduce them.[00:28:56] swyx: They stay, but they're not growing anymore. I don't know if you've seen[00:28:59] Jacob Effron: Right. But that to me is more of like a, a, a product problem than it is. They're not like, it's not like they've like lost share to someone else.My understanding is the overall problem with consumer AI today is much more of a how do you take this tool and, you know, for, for folks like us, like knowledge workers, it's like this incredible magic tool, but it's not necessarily a daily active use tool for a lot of people around the world today. And what are the like products?It's, it's kind of a category wide problem. Like in coding, for example, like. The entire space has gone parabolic. There may be some relative growth in, uh, in other consumer AI players, but it's not like consumer AI as a category is like going parabolic and they're not capturing most of that thing. I think it's actually the larger problem is much more, hey, the category has kind of hit a bit of a plateau of people haven't figured out how to bring, you know, tons more users on board.Yeah, yeah. Or increase the frequency of those users. And so it seems more of a category wide problem than it is, you know, a massive market share of change. I was gonna draw the comparison to, to the coding space where Claude Co is the first product, obviously, to introduce people to this magical experience.You know, by all accounts, codex is, is pretty damn close to as good, if not better. Um, but like still that first product, you, you would've thought that would not be a super sticky, uh, you know, product surface area. And it actually has, it turns out, I, it feels like the first lab to introduce you and experience really does, uh, keep a lot of, uh, a lot of the focus.[00:30:12] swyx: I, I think. M maybe it's like still, still early days. You know, Chad, BT is like three plus years old and Yeah. Cloud code is only one. Just turned a year. Yeah. So give it time, you know? Yeah. Like, yeah. I mean, definitely sometimes a lot of people have switched from to Codex. Maybe that will keep going. I, it's like really hard to tell.Uh, yeah. I, I, I do, I do think that. Because we are in this like, high volatility, high temperature phase. Um, the loyalty and stickiness to first movers and category creators, I don't think is as high as it might be in some other, uh, areas in our careers that we've looked at.[00:30:47] Jacob Effron: Yeah. Though, I mean, I've been surprised by the cloud code thing.I, I would've thought that, like, in many ways I always worried about the[00:30:52] swyx: enterprise. You think you would've been gone by now?[00:30:53] Jacob Effron: Not gone. But I would've, I I always worried that the, that the consumer business of these companies would be quite sticky. And then the enterprise API business. Uh, was actually like, you know, in some ways like your least loyal buyers, like they would, they would move to,[00:31:05] swyx: right, right.But, but they worked out that it wasn't the enterprise API it was enterprise product.[00:31:09] Jacob Effron: Totally. And maybe that was the, that was the secret that like, but the amount of lock-in or just default behavior that has happened in that space, uh, is, is more than I might've imagined with two products that by all accounts are pretty damn similar.Yeah.[00:31:22] swyx: No fight there. Uh, I will say I do think that Codex is still in like a catch up. Like in terms of personal experience. Um, the only thing I like out of, out of Codex is the, is like Spark and like yeah. Uh, the, I, I feel like the skills integration is a little bit better. I feel like, uh, the, the speed is a bit better.Maybe ‘cause it's in, is written in rust or whatever. Um, very minor things that you like. Almost like telling yourself rather than like objectively assessing between two, two of them. I, I, I do think, like vibes wise, I think that's going on. Um, the, the, you know, I, I feel like the, the missing questions, uh, in, in this whole debate is like, why is this so concentrated in only two names, right?Yeah. Like, um, how, where, like, where is the Gemini? You know, presence, where's the Xai presence? Um, and like they are trying, it's just they haven't made that much progress yet.[00:32:12] Jacob Effron: But what the, what the Claude Co moment does show, and it actually in some ways makes you a little more bullish on the potential for someone else to catch up because it does feel like if you're the first person to introduce some magical net new product experience, that that actually might be stickier than one might have imagined.[00:32:27] swyx: Right, right, right. Okay. Yeah.[00:32:28] Jacob Effron: And so it's, everyone can believe they have shot[00:32:29] swyx: that. What do you think that new product experience might be like? I, I, it's, it's like, and this is a failure of imagination on my part. Like, I always wonder, like, people always say this like, well, the, the thing that will save us is like being first to the next new thing.Like what is it?[00:32:41] Jacob Effron: Yeah.[00:32:42] swyx: It's like,[00:32:45] Jacob Effron: I dunno, something around like, uh, consumer agent, computer use, like hybrid. I think, obviously, I think we're like scratching the surface on the consumer side.[00:32:53] swyx: So my, my current theory is like the. Open claw is like a vision of things to come.[00:32:58] Jacob Effron: Totally.[00:32:58] swyx: Um, and uh, it's good that O open I has like the association with open claw, but by no means do they have the rights to win it.The general thesis that I have been pursuing now is that the year the same way that 2025 was the year of coding agents, 2026 is coding agents breaking containment to do everything else. Um, and so coding agents continue to still win, but because they generate software and software eats the world, so like, it's kind of like the trans.Associated property of like software, eat the world, coding agents, eat software, therefore coding agents eat the world. Um, which is like an interesting,[00:33:30] Jacob Effron: yeah, and breaking containment always an easier phase phrase in the consumer context than the enterprise one. You've seen people run these really cool, uh, experiments in their own personal lives.I think like,[00:33:37] swyx: yes.[00:33:38] Jacob Effron: Figuring out, you know, how you, obviously everyone's focused, you know, on the enterprise side now around how you create these experiences. I feel like the vibes, you know, people love to have these narratives of like, everything is completely shifted. It's like I actually, you know, open AI.Organizationally, uh, you know, volatility aside is, you know, great products, great team, great models like everyone else in the world is incentivized for there to be. Two, three more. Everyone would love more like great model companies. And so I feel like the, the natural forces of the world revolt when any one company, you know, is too much the star of the show, right?There's so many people in the ecosystem that are incentivized for that not to happen. And so I think I'd be shocked if we don't have. Uh, uh, reversion of vibes, not maybe completely the other way, but at least a little bit more equal at some point over the next six, 12 months.[00:34:24] swyx: I, I think there's just a kind of different stages when, when you talk about the world, one wanting more model companies, I talked think about like the neo labs.[00:34:30] Jacob Effron: Yeah.[00:34:31] swyx: And I mean, I don't know, is it fair to say none of them have really broken through in the past year?[00:34:35] Jacob Effron: I think that's totally fair,[00:34:37] swyx: which is rough. Um, and well, how are we gonna, how are we gonna grow that diversity in, in, in choice, like. Um, that's, this is it.[00:34:46] Jacob Effron: Yeah. It'll be really interesting to see what, what, what ends up happening with that.And you've seen, you know, folks like Nvidia, you know, very incentivized to make sure there's, there's a broader platform of, of other model providers.[00:34:57] swyx: I think, uh, I don't know people say this, but I, I, I don't think they try it hard. Nvidia tries harder to build neo clouds[00:35:05] Jacob Effron: Yeah.[00:35:06] swyx: Than neo labs.[00:35:07] Jacob Effron: Well, they try pretty damn hard to build neo Cloud, so[00:35:09] swyx: that's,[00:35:09] Jacob Effron: yeah.[00:35:10] swyx: But like, you know, let's call it like the, the core weaves of the world, much happier place in the, you know, than any neo lab built on top of them.[00:35:18] Jacob Effron: Yeah. That one might argue it's, it's easier to, to enable a neo cloud to be successful than it is. Uh, you can't will a neo lab into existence the same way you, soNvidia[00:35:25] swyx: has more direct control over it.Uh, for sure.[00:35:27] Jacob Effron: What else is kind of catching your eye today on the startup side? I mean, you worry, there's obviously this whole narrative of like, you know, the foundation models, you know, they announced a product and every stock goes down 15%. Like[00:35:36] swyx: Yeah.[00:35:37] Jacob Effron: Do you, do you worry about the foundation models just kind of eating into to a bunch of these startup categories?[00:35:43] swyx: Not really. I, I think actually like. As, uh, there's, there's, okay, there's, there's, there's the, there's the point of view of like being an investor in startups, and there's a point of view of like, do you wanna start something? And I think honestly, like the, the downside for all these is so. Minimal in, in a sense of like, the worst you do is you just get hired into one of these labs anyway.So I, I think the, the market for people who just do things and try things and try to execute in like a competent way, even if like it doesn't work out commercially, even if it just wasn't that great anyway. Like, but like that's your job interview to go into, into one of these things anyway, so, um, I don't feel that.From a, from a very, very small startup perspective, mid-size startups. Yes. Uh, I will say there's been a lot of dead, um, LM Infra, a lot of LM infra consolidation like the, the, uh, lang fuses of the world getting absorbed into, into click house. And I, I think. Like people have maybe worked out the domain specific playbook, uh, and like, I think that's okay.Um, and, and yeah, I'm not that, not that worried about, uh, okay. So, um, I, I would say I'd be more worried about traditional SaaS, like low NPSS. This is the whole AI versus SaaS debate that has, that's been going on. Uh, and, and like literally I'm going through that exact thing in my company where, so I like kind of.Thinking through this on a very visceral, visceral level, right? On one hand you have the people who say you vibe coders don't appreciate the amount of work that goes into A-A-C-R-M and like, yeah, you think you can rip out Salesforce? So did the 30 entrepreneurs before you, right? Like, like, you know, you classically underestimate the things that you don't.Deeply, no. And, and, and target audience is not you. Uh, at the same time, like we have never been able to build software so easily and customize software so easily and like Yeah, you're not gonna use 90% of the things in Salesforce. So like, yeah. What's the typical, so what have you, what[00:37:33] Jacob Effron: have you done internally?[00:37:34] swyx: So we have there the main SaaS that we do for event management and sponsor management. That's, and we paid 200 KA year for that. Not, not huge, but like chunky for, for, for my, my scale. Um, and like, yeah, I could probably spend 2000 and, and build like a custom version of that. Um, the, the, the trick has been dealing with my, the rest of my team and getting them on board.Yeah. ‘cause I'm the most ethical person on my team, but like, I can't make that decision myself. And I think in the same way I've been telling with other CEOs team leaders as well, it's like, well you can be super cloud pilled. You can be super LM psychosis and that you think that's okay, but you like you have to bring your team with you.And I think like there, the sort of widening disparity in LM psychosis in companies is causing real s real riffs because. And on one hand, on one hand, the people who are less AI native are not getting with the picture. They're not, they're actually like behind, they're actually not waking up to the fact that like you, everything you think is necessary is not actually that necessary.And in fact, exactly would be better of you if you just like held your nose and went in and when came out the other side. Yeah, only talking to agents in natural language and like your life would actually be better and you just, you're just like close-minded. There's that perspective. The other perspective is, oh, you vibe coder.You, you did this in a weekend and you got the 80% solution and now the rest of your employees. Have to pick up the rest of your s**t, right, that you, that you thought you were, you were such hot, amazing, uh, uh, at, but like, actually you didn't figure it out. And like, actually LMS are still useless at this and blah, blah, blah.So like, I think there's this huge debate going on in every company right now. Um, and like, um, you know, I have a small microcosm of it, but like, yeah, it, it's making me hesitate to, to pull the trigger. But like I will at some point, it's like maybe I've put it off for one year, but not like five. Yeah, but like, so, so like SaaS is definitely getting squeezed.Um, it does make me wonder, like, I, I do think that there's an opportunity for a more AI native, um, system of record thing that is not just Postgres. Um, or not just MongoDB, although both are very good. Maybe it's like a convex or like people Yeah. Bring up convex a lot. I don't know, like, like, I, I just feel like the sort of quote unquote firebase of, of AI apps isn't really a thing yet.Um, beyond what we have. Uh, which, which is fine. It's, it's, it's just. We could probably start in a more sort of rapid iteration cycle first before scaling up to like a Postgres or MongoDB, which are more sort of old tech. I was at a dinner with, uh, Mike Krieger, the CPO of en philanthropic, and, and he, we were just kind of going around the room going like, what are people most worried about?Yeah. And, uh, for me, uh, I, instead of security, I brought up biosafety. Yeah,[00:40:21] Jacob Effron: classic.[00:40:22] swyx: Um, actually, like I said, it was. Cliche and classic, and the rest of the table were, were like, what do you mean? Someone sitting at home can manufacture a virus that wipes out half of humanity,[00:40:32] Jacob Effron: almost like the OG Jeffrey Hinton.Like, this is why you should be scared.[00:40:35] swyx: I'm like, yeah, like the read the, you know, risk reports. Like this is like the thing. Um, I think, and Mike was just sitting there knowing he was sitting on Mythos and going like, actually it's security. Um, and I think like, um, I think the, there's, there's, part of it is.A very good marketing. Like too good. Yeah, like I would actually advise and topic to tune down the marketing because also it's, it is just a very good model and you don't have to make so many marketing claims around it. At the same time, it is not really a private model. If you give it to 40 companies.Each of whom have like 10,000 employees or whatever. Right. It's not, it's not private, it's, it's like there's bad actors in there.[00:41:18] Jacob Effron: Yeah. Hopefully, hopefully not as, uh, as bad as releasing it widely, but, uh, no, I mean, it's an interesting. You know, it's an interesting case study for how all, I mean, many model releases might, I mean, you know, this might be the first model release that looks like the rest of ‘em from from now on, right?[00:41:31] swyx: It, it, so it's, it's the, there's an overall product strategy, uh, for anthropic of like bundle, uh, you know, restrict access bundle, uh, product with model maybe.Whereas, uh, OpenAI has definitely been a lot more sort of. Philosophically aligned on like, we will just enable access everywhere and we don't know what you, what will come out of it. Right.[00:41:51] Jacob Effron: Right. Though, I mean, this current moment, uh, obviously the cynical take is also just ties to the amount of compute that both companies[00:41:56] swyx: Yeah.Right, right, right. Yeah, I think, I think that's true. I I do think like the, the, this is the, the, the scale, the dawn of like larger than 10 trillion parameter models is very interesting. I don't think it, I think it's a temporary phenomenon because we have much larger compute clusters coming online for everyone over the next like three, five years.It's, and this is like already written in, in the cards.[00:42:18] Jacob Effron: Yeah.[00:42:19] swyx: So to the extent that like, you know, will we have rationing of models, uh, above 10 trillion, uh, in like two years? I don't think so. I think everyone will have no, we'll just[00:42:29] Jacob Effron: have rationing of the next phase.[00:42:30] swyx: Right. Right. But like, that's as it should be almost like, um.My, my classic example, which I, this is just me theorizing, not anything confirmed by Google. When Google announced Gemini, they actually announced three sizes, which was Flash Pro Ultra. They never released Ultra. They only have Pro and Flash. Um, so my theory is they have ultra sitting in a basement and they just could distilling from it for, for flashing pro.Um, which like, yeah, I mean, I, I actually think that's. As it should be for any lab that they, that they do that.[00:43:02] Jacob Effron: Yeah. Just because those are the models that people actually wanna end up using. And it's just like cost prohibit.[00:43:06] swyx: It is more, yeah, it's cost. Yeah. It's, it's not the want, it's just, just, just the cost.Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that's proving to be wrong. And well then if I'm wrong, how wrong? How wrong am I? Do we do 200 trillion? Do we do two quarter trillion, whatever? Um, and I don't think we have the straight answer to that, but like, uh, it's interesting that we are continuing to scale number of pers when everyone kind of assu like can see that we're not going to get like the next thousand or 1 million x from this paradigm.So like the others, like the alias of the world are working on other. Um, model architecture improvements. We need a different scaling law, I guess, because like, we're, I, I feel like people already already feel like we're tapped out on this. Like the, the end, the end state of this is we turn most of the world into data centers and like, I don't know.I don't know if we want that.[00:44:08] Jacob Effron: Yeah, I mean, uh, if the, if, if, if the return of intelligence are there, maybe, uh, maybe not so bad.[00:44:13] swyx: I, I, I think there, there's just a sheer amount of like, like un scalability that like is wrangling people's sensibilities right now. Um, especially in terms of like context lengths.Um, my classic quote is that context length is like the slowest scaling factor in, in lms.[00:44:30] Jacob Effron: Yeah.[00:44:30] swyx: Um, we, like, we took maybe. Three years to go from like 4,000 context length to a million and that's about it. Yeah. Like Gemini has had a million token context length for two years now. Um, and no one's using it.Like, so like yeah, it's memory. Memory is probably gonna be the, the biggest limiting constraint on all these things.[00:44:50] Jacob Effron: Yeah. Certainly seems that way. I guess I'm curious over the last year since you recorded last, like what's one thing you've changed your mind on?[00:44:57] swyx: I feel like I was kind of bearish on open models like last year.Um, in a sense of, like, I, I had just done the podcast with an Al[00:45:07] Jacob Effron: Yeah.[00:45:08] swyx: Of Braintrust where he, and he, I mean, you know, he has a good cross section of all the top AI companies and he says market share of open source is 5% and going down. Um, I think that's changed. I think it's going up. Um, and even if,[00:45:22] Jacob Effron: even though the capability gap does seem to be increasing.Spending on the[00:45:26] swyx: time. It's hard to tell. Yeah, it's, it's really hard to tell. ‘cause like, okay, for, for listeners, capability gap increasing is like on public benchmarks. And let's say you're comparing mythos versus like, I don't know, G-T-O-S-S or like GLM 5.1. And, um, it's, it is really hard to tell. ‘cause even if they were closing, you will also not believe that they were closing that much because it's very easy to gain the benchmarks.Yeah. So you just don't really, really know. Um, all you know is like. Uh, there's somewhat objective open router stats on like what people choose in a free market. And people do choose some of these open models in significant volume, except that a lot of them are heavily discounted. So you need to kind of like price adjust, uh, these things.So even if, even if that were true, which I, I'm not sure, like I, I, I feel like the numbers just up now instead of down. Uh, I think the. Separation between what the top tier agent labs

Most of medicine is built around snapshots. You feel something, you test for it, and by the time you find it, you're already behind. But what if the problem isn't the test—it's how we use it? In this episode, I sit down with physicist and imaging pioneer Dr. Daniel Sodickson, Chief Medical Scientist at Function Health and author of The Future of Seeing. We break down why tools like MRI are shifting from one-time scans to something far more powerful: tracking your health over time. Watch the full conversation on YouTube, or listen wherever you get your podcasts. In this episode, we cover: • Why waiting for symptoms puts you behind—and how to get ahead • What an MRI can reveal about your body that bloodwork can't • How tracking your health over time helps you catch problems sooner • Why having a baseline could change the way you make health decisions • What it means to shift from reacting to disease to actually predicting it When you stop looking at a single result and start looking at patterns, you can catch changes earlier, reduce false alarms, and better predict where your health is headed. View Show Notes From This Episode Get Free Weekly Health Tips from Dr. Hyman https://drhyman.com/pages/picks?utm_campaign=shownotes&utm_medium=banner&utm_source=podcast Sign Up for Dr. Hyman's Weekly Longevity Journal https://drhyman.com/pages/longevity?utm_campaign=shownotes&utm_medium=banner&utm_source=podcast Join the 10-Day Detox to Reset Your Health https://drhyman.com/pages/10-day-detox Join the Hyman Hive for Expert Support and Real Results https://drhyman.com/pages/hyman-hive This episode is brought to you by BON CHARGE, Maui Nui, Sunlighten, Paleovalley, Fatty15 and BIOptimizers. Head to boncharge.com/hyman and use code HYMAN for 15% off. Go to mauinuivenison.com/hyman to claim your free 6-pack of their Wild Axis Venison Jerky Sticks. Visit sunlighten.com and use code HYMAN to save up to $1600 today! Head to paleovalley.com/hyman to save 15% off your first order today. Head to fatty15.com/HYMAN today and use code HYMAN for 15% off your 90-day subscription Starter Kit. Head to bioptimizers.com/hyman and use promo code HYMAN at checkout to save 15%. (0:00) Introduction and overview of modern medical imaging (3:26) Discussion with Dr. Daniel K. Sodickson begins (3:45) Full body MRIs: Benefits, risks, and the inspiration behind "The Future of Seeing" (7:52) Extending senses and paradigm shifts in imaging technology (14:55) Longitudinal imaging and its benefits (19:17) Future of personalized health data and imaging technology (23:54) Addressing information overload and reducing false positives through AI (28:33) Cost, accessibility, and innovations in imaging techniques (32:00) Vision for ubiquitous and continuous health scanning (33:30) Imaging vs. blood work: Comprehensive health assessment (35:29) Real-life examples and early detection through imaging (39:27) Historical context and real-time health data collection (41:46) Who should get baseline MRIs and scan frequency (47:26) The everywhere scanner: Future implications and cancer detection (52:35) Medical intelligence and transforming health monitoring (57:47) Preventive measures, early detection, and course correction (1:00:30) Medical intelligence labs and the future of healthcare (1:03:32) Future of personal data-driven healthcare and closing remarks

This bonus episode of Identity at the Center is brought to you with support from Elimity. Jeff and Jim sit down with Maarten Decat, co-founder and CEO of Elimity, to explore the emerging product category known as IVIP, Identity Visibility and Intelligence Platforms. Maarten explains how Elimity was built around a question every IAM practitioner eventually faces: who can actually do what within our organization? The conversation covers why IVIP is distinct from traditional IGA, how identity data graphs provide deeper visibility than flat entitlement lists, and what regulatory drivers like SOC 2, ISO 27001, and DORA are pushing organizations toward this space. They also discuss deployment patterns, integration approaches, ROI metrics for leadership, and what Maarten calls provable control. The episode closes with a memorable story about Elimity branded Belgian beer and a very formal legal letter. Learn more at elimity.com/idac.Connect with Maarten: https://www.linkedin.com/in/maartendecat/Learn more about Elimity: https://elimity.com/idacConnect with us on LinkedIn:Jim McDonald: https://www.linkedin.com/in/jimmcdonaldpmp/Jeff Steadman: https://www.linkedin.com/in/jeffsteadman/Visit the show on the web at idacpodcast.comCHAPTER TIMESTAMPS00:00 Introduction and ax-throwing memories from EIC Berlin01:35 Introducing Maarten Decat, co-founder and CEO of Elimity01:57 How identity chose Maarten: from PhD to startup founder03:09 The Elimity origin story and the problem it set out to solve04:52 Defining IVIP: Identity Visibility and Intelligence Platforms05:31 Where did the name Elimity come from?06:57 Why identity visibility has become a security priority now09:02 What organizations were doing before IVIP existed11:16 Can IGA do what IVIP does? Addressing the skeptics14:20 The identity data graph: deeper and wider than IGA16:20 IVIP and IGA as complementary tools, not competitors16:49 What falls outside IVIP scope: automated provisioning18:01 IVIP as the intelligence layer in your IAM stack19:45 What data sources connect into an IVIP platform21:44 Extending visibility to non-human identities22:00 M&A use cases: gaining visibility across two organizations23:55 IVIP and the identity fabric concept25:18 Visibility, intelligence, and actions: building the right stack26:36 How deployments typically start and what early wins look like28:44 Integration approaches and realistic effort timelines32:00 What success looks like at six to twelve months36:07 Metrics and ROI: talking to leadership about identity risk38:14 Case studies and customer examples on the Elimity website38:58 What every IAM practitioner should know about IVIP40:12 Elimity's global reach: EU, US, and Middle East41:42 The Elimity branded beer story and a very formal legal letter46:43 Wrap-up and final thoughtsKEYWORDSIVIP, identity visibility and intelligence platforms, IGA, identity governance, access control, identity data graph, Elimity, Maarten Decat, non-human identities, access risk, provable control, SOC 2, ISO 27001, DORA, CCPA, cybersecurity, PAM, IAM, identity and access management, EIC, IDAC, Identity at the Center, Jeff Steadman, Jim McDonald

Simon's live update for Tom Swarbrick's drivetime programme on the UK's LBC.

Tony starts the first hour of the show talking about President Donald Trump extending the ceasefire with Iran once again after previously saying he had no interest in doing so. See omnystudio.com/listener for privacy information.

Seth and Sean discuss the Texans extending Edge Rusher Will Anderson Jr. on Friday after they got off the air.

See omnystudio.com/listener for privacy information.

On Monday Match Analysis, Gill Gross dissects Jannik Sinner straight-set win over Carlos Alcaraz in a scrappy 2026 Monte Carlo final. It is Sinner's first big clay title and his 4th consecutive Masters 1000 title going back to Paris last year. We'll discuss Sinner's transition to clay and the H2H improvement against Alcaraz, how the wind effected the matchup, baseline patterns and more. 0:00 Intro 0:35 Sinner Takes Monte Carlo 4:50 Wind Factor 8:55 Sinner Baseline Tactics 16:19 The Serving 22:33 Summary IG: https://www.instagram.com/gillgross_/TikTok: https://www.tiktok.com/@gill.gross24/7 Tennis Community on Tribe: https://tribechat.com/gillTwitter/X: https://twitter.com/Gill_GrossThe Draw newsletter, your one-stop-shop for the best tennis content on the internet every week: https://www.thedraw.tennis/subscribeBecome a member to support the channel: https://www.youtube.com/channel/UCvERpLl9dXH09fuNdbyiLQQ/joinEvans Brothers Coffee Roasters, the Official Coffee Of Monday Match Analysis... use code GILLGROSS25 for 25% off your first order: https://evansbrotherscoffee.com/collections/coffeeAUDIO PODCAST FEEDSSpotify: https://open.spotify.com/show/5c3VXnLDVVgLfZuGk3yxIF?si=AQy9oRlZTACoGr5XS3s_ygItunes: https://itunes.apple.com/us/podcast/monday-match-analysis/id1432259450?mt=2 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

As state budget negotiations continue ahead of the April 1 deadline, Carmen Fariña, former NYC Schools Chancellor, argues for a four-year extension of mayoral control of NYC's public schools. Photo: Mayor Zohran Mamdani visits a public school classroom in March 2026. (Credit: Office of the Mayor)