Podcasts about wearables

The ongoing outbreak of hantavirus infections that originated with passengers on the Dutch cruise ship MV Hondius in April has generated concerns across the globe. This very rare occurrence has led to a number of deaths, required quarantining of passengers and prompted emergency responses from public health authorities in multiple countries.  On this episode of Raise the Line from Elsevier, we're tapping the expertise of a leading authority on the subject, Dr. Jamie Childs of Yale University, to provide you with a scientific understanding of hantaviruses and what level of threat is posed by this situation. In short, Dr. Childs believes this is not the start of a pandemic. “The Andes variant involved here is one of the most dangerous hantaviruses, but it is totally controllable with contact tracing.” This timely conversation with host Lindsey Smith is informed by Dr. Childs' decades of hantavirus research as well as learnings from his role leading the CDC's environmental investigation during the landmark 1993 hantavirus outbreak in the Four Corners region of the American Southwest. And be sure to stay tuned to hear his concerns about the factors complicating containment of the current Ebola outbreak in East Africa. Note: this conversation was recorded on May 19th, 2026. Mentioned in this episode: Yale School of Public Health Yale Institute for Global Health If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Most wearables are a Pandora's box of useful data and confusing inaccuracies — but for serious athletes and gym enthusiasts, the real value lies in what actually influences your training and lifestyle.In this eye-opening episode, Jerred Moon and Dave break down their decades-long experience with wearables like Garmin, Whoop, and Apple Watch to reveal what truly works — and what's just noise. Jerred shares rare insights from testing over 31 different sources and reveals how even the most advanced tech can fall short of the accuracy of a simple chest strap. Dave discusses the essentials he's tracked for years, from daily steps and heart rate zones to long-term trends in resting heart rate, emphasizing how these basic metrics can drive real behavior change.Discover: The surprising benefits of low-tech features like a flashlight or vibration alarms that keep your life simple and effective Why most advanced recovery scores and proprietary algorithms can do more harm than good by encouraging unnecessary stress or over-optimization How the quest for perfect data can detour you from actual progress — and the moment to hit "pause" and focus on intuitive training Which metrics are objectively helpful, and which are just digital distraction Jerred's next evolution: turning Garmin into a "dumb watch" to reconnect with instinctive movement and breathe easier with tech boundaries Whether you're a seasoned athlete, a garage gym enthusiast, or someone curious about tech's role in health, this episode offers a balanced perspective: more data isn't always better. It's about understanding what matters, what influences your habits, and when to trust your own body over the latest gadgetry.Stay tuned for tips on how to use wearables without falling into the trap of over-optimization and learn how to leverage technology to support natural, sustainable fitness. This conversation is essential listening for anyone eager to cut through the noise and get back to real results — no fancy algorithms required.

Welcome to LIFTS, where we explore the future of fitness, wellness, and human performance. In this episode, hosts Matthew Januszek and Mohammed Iqbal are joined by Dr. Nestor Rodriguez for a deep dive into one of the biggest shifts happening across healthcare, fitness, and longevity: the move from reactive "sick care" to proactive performance medicine. For decades, healthcare systems have largely focused on treating illness after it appears. But a new model is beginning to emerge - one centred around prevention, optimisation, diagnostics, recovery, and long-term human performance. This conversation explores why consumers are becoming more proactive about their health, how wearable technology and biomarkers are reshaping the wellness landscape, and why the worlds of fitness, medicine, recovery, and longevity are starting to converge faster than ever before. Dr. Nestor Rodriguez explains why the future of healthcare may look very different from the systems we know today. As consumers gain access to more data through wearables, recovery tracking, blood testing, and AI-driven health insights, expectations around health and wellness are rapidly evolving. The discussion also examines the growing opportunity for fitness operators. As gyms continue evolving beyond exercise facilities into broader wellness and longevity platforms, operators may soon play a much larger role in preventative health, performance optimisation, and personalised wellness experiences. The episode also dives into the limitations of the traditional healthcare system, the growing demand for personalised medicine, and why the next era of wellness may be built around continuous optimisation rather than reactive treatment. In this episode, we cover: Why healthcare is shifting from "sick care" to performance medicine The rise of longevity, diagnostics, and preventative health How wearables and biomarkers are changing consumer behaviour Why fitness operators may become part of the healthcare ecosystem The future of personalised wellness and human performance

We mark National Mental Health Awareness Month on this episode by tapping the expertise of Dr. Steve Strakowski, an internationally recognized expert in bipolar disorder, who has spent decades studying the neurobiology and treatment of mood conditions while pushing just as hard on the structural barriers that keep effective treatments out of reach for more than half the people who need them. In this conversation with Raise the Line from Elsevier host Michael Carrese, Dr. Strakowski explains why access, not science, is now the biggest obstacle to improving mental health outcomes. He also addresses the heavy toll society pays for underfunding mental health prevention and treatment programs. “The money is spent eventually, but in the most expensive places like emergency rooms and prisons, and there is the human cost of suffering and suicides." This important discussion also covers: The persistent problem of Black patients presenting with mania being misdiagnosed with schizophrenia;  Why he describes bipolar disorder as a reward-processing illness;  The emerging therapies he finds encouraging. Mentioned in this episode:Indiana University School of Medicine If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Send us Fan MailIn this episode of Sidecar Sync, Amith Nagarajan and Mallory Mejias unpack Google I/O 2026 and what it signals for the future of AI-powered work, search, and member engagement. They explore Google's push toward proactive, agentic AI across Gemini, Workspace, Search, and new infrastructure like Antigravity and TPU chips, while digging into what these changes mean for associations trying to protect their content, improve digital experiences, and stay relevant as members increasingly expect voice, multimodal interaction, intelligent search, and personalized service. The conversation also covers AI's impact on career advice, leadership, web traffic, SEO, smart glasses, privacy, and why associations may need to double down on trust, niche expertise, and human connection in an increasingly agent-driven world.

In this episode of the Sports Tech AllStars Podcast, we present Josh Helmrich, Senior Director of Media Strategy, Business Development and Next Gen Stats at the NFL.The conversation explores how the NFL went from zero player tracking data to a platform that powers broadcast graphics, officiating decisions, coaching strategy, health and safety research and the Madden video game - and what the next evolution of that platform looks like now that optical tracking has entered the picture.TakeawaysNext Gen Stats started as a working project name that nobody gave much thoughtThe NFL chose wearable ultra-wideband tracking over optical at the start because of the unique occlusion challenges in American football In the first game of tracking, the NFL collected more data than in the entire history of the league combinedMarrying optical and wearable tracking together is the real unlock The Big Data Bowl identified a winning rushing yards model from a Japanese team that had never watched American football and did not speak EnglishBall tracking at the bottom of a pile-up remains an unsolved problem The NFL now has 29 data points per player at 10 frames per second Innovation partners do not need to wait for the NFL to come to them The Big Data Bowl has become a talent pipeline, placing graduates directly into NFL clubs and the league officeTo learn more, visit: https://nextgenstats.nfl.comGet in touch with Josh Helmrich at: linkedin.com/in/josh-helmrich-07a93510 Hosted by ⁠Rohn Malhotra⁠ from ⁠SportsTechX⁠ - Leading source of Investment and Innovation insights in sports. As promised, here's your small surprise:Unlock your 30-day growth plan (worth €49) on the SportsTechX Intelligence Hub for free!Simply verify your company details and you get access to 1,500+ investors, programmes, initiatives and events in the sportstech ecosystem.Here's how to get set up and if you'd like a walkthrough of the platform, feel free to book a call here.More from SportsTechX:Explore the SportsTechX Intelligence Hub, an interactive database of over 8,000 sports tech companies, 8,000+ deals, 1,000+ investors, programs and events - HEREDownload the latest Global Sports Tech Ecosystem Report - HERESign Up for the Sports Tech Weekly Newsletter for more news, features & insights on Sports Tech - HERE Stay Connected and follow for more:LinkedInYouTubeSpotifyApple PodcastChapters00:00 Introduction02:11 Sports Innovation Düsseldorf and the NFL in Europe03:17 How the NFL Is Building an International Fan Base05:18 The Origin of Next Gen Stats 06:02 Why the NFL Chose Wearable Tracking Over Optical08:17 The Evolution of Sensors10:34 Why Optical Tracking Took 10 Years to Arrive in the NFL12:27 Ball Tracking in Football vs Other Sports13:17 Was There a Plan or Did the Use Cases Reveal Themselves?14:27 Enabling Coaches, Officials and Health Teams to Find Their Own Use Cases15:49 AWS, the Big Data Bowl and Opening Up NFL Data16:33 What the Big Data Bowl Actually Is and Why It Works18:24 The Japanese Team That Won Without Ever Watching American Football20:31 How the Big Data Bowl Became a Talent Pipeline for NFL Clubs21:45 How the NFL Evaluates and Partners With New Technology Providers22:56 The Unsolved Problem: Ball Tracking at the Bottom of a Pile-Up24:09 What Kind of Technology the NFL Is Actively Looking For25:09 What the Next 12–18 Months Look Like for Next Gen Stats26:23 A Call to Action for International Sports Tech Innovators27:42 Favourite Sporting Moment

Man, I don’t know how else to say this — this one got me. I sat down with Christian Zeron, the guy behind the Theo N. Harris Instagram, and what started as a watch-world conversation turned into one of the most honest, wide-open talks about hunting, identity, manhood, and what it means to find something that actually moves you. That’s the kind of episode this is. Christian grew up in New Jersey selling vintage Rolexes in college and built a marketing company around it. He’s sharp, he’s articulate, and — up until about six months ago — he had zero connection to the hunting world. Then a client invited him on a hunt in Kentucky and, well, here we are. He killed his first turkey this spring, he’s already got hog hunts lined up in Texas and a dove trip to Argentina on the books, and the guy is all in. Completely, unapologetically, joyfully all in. What I love about Christian is that he brings this fresh set of eyes to our world. He’s not pretending to be someone he’s not. He’s a Ralph Lauren, vintage shotgun, lever-action rifle kind of guy who gets genuinely emotional talking about his late grandfather while butchering his first bird. That’s real. That’s the stuff hunting is actually made of, and it’s the stuff that’s really hard to explain to people who haven’t lived it. We go deep on the watch world and what Rolex figured out about aspiration and identity that most brands never do. We talk camo as identity, Sitka vs. First Lite, Yeti coolers, LVMH, Omega, Casio — and somehow it all connects back to hunting, brand building, and what it means to be a man who collects experiences instead of just stuff. Plus, we dig into what I’m trying to build with Bridger Watch and Christian gives me some real, unfiltered marketing advice on how to position it against Garmin and Apple. This is the kind of conversation that makes you want to call your old man, fire up a steak, and go outside. Strap in. Episode Sponsors onX Hunt If you’re serious about hunting out west, onX isn’t optional — it’s foundational. We’re talking land ownership, access layers, terrain intel, and a full suite of tools built for every phase of the hunt: planning, preparation, and execution. The difference onX makes is simple. It’s confidence. Confidence that you’re in the right spot. Confidence that you’re legal. Confidence that you can find your way back to the truck when the day goes long and the country gets weird. Download the onX Hunt app and become an Elite member today. Use code TRO for 20% off your membership. Website: onxmaps.com Bridger Watch I set out to build a better smartwatch for the hunting community — plain and simple. I was frustrated. I kept pulling my phone out 100 times a day to check onX in the field and thought, why can’t we just have the map on our wrist? So we went down the rabbit hole and built what I genuinely believe is the best smartwatch ever made for hunters. If you’re a watch guy and a hunter, this was built for you. Use code TRO at checkout. Website: bridgerwatch.com Timestamp Chapters 0:00  —  Intro & Sponsor — onX Hunt 1:45  —  Sponsor — Bridger Watch 3:00  —  Welcome Christian Zeron | Who Is This Guy? 5:30  —  From Jersey to the Deer Woods — How a Watch Guy Found Hunting 9:00  —  Building a Marketing Company on the Back of Rolex 12:30  —  Christian’s First Turkey: Buck Fever, Clown Makeup, and Grandfather Moments 17:00  —  Why Hunting Hits Different — The Emotional Depth Non-Hunters Don’t Understand 20:30  —  Serving Elk Steak & The Pride of the Harvest 23:00  —  Where Does Christian’s Hunting Journey Go From Here? Argentina, Texas, Bear Hunts 26:30  —  Identity in the Hunting World — Camo Brands, Sitka, First Lite & the Yeti Effect 30:00  —  Decor, Taxidermy, and Why Rural Men Are More Aesthetic Than Manhattan Bankers 33:30  —  The Smartwatch Debate — Where Does a Luxury Watch Guy Land on Wearables? 37:00  —  Marketing Advice for Bridger Watch — What Rolex Got Right & What We Should Learn 40:30  —  The Watch World Deep Dive — Omega, Tag Heuer, LVMH, Casio & Vintage Markets 44:00  —  Lever Guns, Grandfather’s .35 Remington, and Planning Future Hunts 46:00  —  Wrap Up — Follow Christian & Final Thoughts 3 Key Takeaways 1. Hunting Connects You to Something Bigger Than the Kill Christian’s story about his late grandfather flooding back while he was butchering his first turkey is one of the most honest descriptions of why hunters hunt that I’ve heard in a long time. The harvest, the meat, the field dressing — it all becomes this vessel for memory and emotion and people you’ve lost. And it’s something you genuinely cannot explain to someone who hasn’t felt it. If you’ve ever felt your dad or your grandfather or someone you loved in a duck blind or a wall tent, you know exactly what Christian is talking about. That feeling doesn’t go away. It doesn’t get old. That’s why we keep going back. 2. Identity Is at the Core of Every Purchase Decision — Hunting Included Christian has been living inside luxury brand psychology for over a decade, and watching him apply that lens to the hunting world is genuinely eye-opening. Whether it’s Sitka gear, a Yeti cooler, or a vintage duck camo jacket — we are all making identity statements with every piece of kit we buy. And what’s fascinating is that hunters, who largely pride themselves on being no-nonsense, practical people, are actually some of the most identity-driven consumers out there. The trophy room, the curated camp setup, the brand of camo you wear — it all means something. Knowing that isn’t a bad thing. It’s human nature. 3. Lead With the Tool — Let the Lifestyle Follow Christian’s marketing insight for Bridger Watch — and honestly for any product in the outdoor space — is worth writing down. The temptation is to lead with the vibe, the lifestyle, the beautiful photos. But for a product that has genuine technical superiority in a specific use case, the smarter play is to lead with education and product proof first, and let the lifestyle layer build behind it. Rolex works because it’s 90% signal and 10% tool. A hunting watch should be the opposite: 90% tool, 10% signal. Prove what the product does for real people doing real things, and the identity follows naturally.

News and Updates: AI Compute Tax Debate: Economists and policymakers are debating taxing AI processing power to offset job displacement and fund social services, though critics argue it's too blunt a tool. AI Dividend Proposal: NY congressional candidate Alex Bores unveiled an "AI Dividend" plan funding direct payments to Americans through a token tax on AI consumption and equity stakes in frontier AI firms. Screenless Fitness Trackers Surge: Screenless wearables like Oura Ring and Whoop are booming, with U.S. fitness tracker purchases up 88% and smart ring sales up 195% between 2024 and 2025. Canvas Hacker Payout: Instructure, maker of the Canvas education platform, reached an undisclosed "agreement" with the ShinyHunters hacking gang after a breach exposed data from 275 million users across 9,000 institutions. FCC Router Ban vs. Supply Chain: AT&T warned the FCC that a global DRAM and NAND flash shortage, driven by AI deployments, is complicating compliance with its ban on foreign-made Wi-Fi routers. Google Unveils Googlebook: Google announced a new laptop line called Googlebooks running a fused Android/ChromeOS platform, featuring Gemini AI integration and a "Magic Pointer," with hardware partners including Acer, Dell, HP, and Lenovo.

If you're over 50 and still doing cardio to stay healthy, you're wasting your time and may actually be making things worse. This episode breaks down the exact movements, supplements, and anti-aging strategies that build real strength, protect your bones, and extend your longevity without spending hours in the gym. Watch this episode on YouTube for the full video experience: https://www.youtube.com/@DaveAspreyBPR Host Dave Asprey sits down with Will Harlow, a master's-level physiotherapist and founder of HT Physio, whose YouTube channel has amassed over 1.5 million subscribers by teaching people over 50 how to stay mobile, active, and independent without painkillers or surgery. Will graduated with a first-class degree from Brunel University, trained in both the NHS and professional sport, and has spent his career proving that what most doctors call "just aging" is actually optional. Together, Dave and Will dismantle the myths keeping older adults weak, injured, and overtrained. They get into why resistance training beats cardio for human performance and metabolism at every age, how anabolic resistance changes your protein needs after 50, which three compound movements deliver the biggest functional gains, and why your grip strength may be the most underrated biomarker you're ignoring. Dave also shares how he used biohacking, targeted supplements, and functional medicine principles to grow bones so dense his surgeon couldn't cut through them. They also dig into vestibular training, hydration, magnesium, Vitamin DAKE, and how tools like AI are now helping people identify movement problems before they become joint replacements. This is essential listening for anyone serious about longevity, anti-aging, biohacking, sleep optimization, supplements, smarter not harder training, human performance, and building a body that performs decades past its expiration date. You'll Learn: Why chronic cardio decreases bone density and muscle mass in people over 50 The 3-2-1 resistance training method that delivers 80% of results in 40 minutes a week How anabolic resistance changes protein requirements as you age and what to do about it The three compound movements every person over 50 should master first Why grip strength predicts overall health and how to train it How vestibular disorders silently destroy balance and confidence, and how to reverse them The supplement stack (Vitamin DAKE, magnesium glycinate, digestive enzymes) that supports bone, muscle, and metabolism Why 7,000 steps beats 10,000, and where that number actually came from How Dave used biohacking and functional medicine to grow bones that broke a surgeon's saw Why AI tools can now spot gait problems that lead to hip replacements years later Thank you to our sponsors! - Active Skin Repair | Get 25% off your order until May 21, after that, it drops back to 20%, visit ActiveSkinRepair.com and use code DAVE. You can also find Active Skin Repair on Amazon and at your local CVS - Danger Coffee | Grab yours at DangerCoffee.com and use code DAVEPOD at checkout for 15% off. - Neuronic | Go to www.neuronic.online Code DAVE for $100 off - Quantum Upgrade | Go to QuantumUpgrade.io/DAVE to claim your 15-day free trial - fatty15 | Go to https://fatty15.com/dave and save an extra $15 when you subscribe with code DAVE. Dave Asprey is a four-time New York Times bestselling author, founder of Bulletproof Coffee, and the father of biohacking. With over 1,000 interviews and 1 million monthly listeners, The Human Upgrade brings you the knowledge to take control of your biology, extend your longevity, and optimize every system in your body and mind. Each episode delivers cutting-edge insights inhealth, performance, neuroscience, supplements, nutrition, biohacking, emotional intelligence, and conscious living. New episodes are released every Tuesday, Thursday, Friday, and Sunday (BONUS). Dave asks the questions no one else will and gives you real tools to become stronger, smarter, and more resilient. Keywords: Will Harlow, HT Physio, Independence for Life, physiotherapy, physical therapy, over 50 fitness, resistance training, strength training, muscle mass, bone density, osteoporosis, goblet squat, Romanian deadlift, farmer's carry, compound movements, progressive overload, 3-2-1 method, exercise snacks, balance training, vestibular health, vestibular disorders, fall prevention, hip fracture, anabolic resistance, protein intake, muscle protein synthesis, grip strength, zone 2 cardio, overtraining, sarcopenia, frailty, mobility, functional movement, gait analysis, fascia, inflammaging, NLRP3, EGCG, green tea extract, luteolin, shockwave therapy, digestive enzymes, betaine HCL, stomach acid, magnesium glycinate, Vitamin K2, Vitamin DAKE, zinc, calcium, electrolytes, cortisol, testosterone, anti-aging, longevity, biohacking, supplements, human performance, metabolism, AI, Dave Asprey, 7000 steps, 10000 steps, pedometer, body weight training, resistance bands, home workout, senior fitness, healthy aging, biological age, heart rate variability, VO2 max, morning stiffness, hip pain, knee pain, back pain, fascia hydration, infant reflexes, vestibular training, eye tracking, sit to stand, bone density surgery, dense bones, UK healthcare, NHS, healthcare system Resources: • Preorder Will's Upcoming Book Independence for Life (5/26) at: https://www.penguinrandomhouse.com/books/804636/independence-for-life-by-will-harlow/ • Learn More About Will's Work: https://willharlow.com/ • Get My 2026 Clean Nicotine Roadmap | Enroll for free at https://daveasprey.com/2026-clean-nicotine-roadmap/ • Dave Asprey's Latest News | Go to https://daveasprey.com/ to join Inside Track today. • Danger Coffee: https://dangercoffee.com/discount/dave15 • My Daily Supplements: SuppGrade Labs (15% Off) • Favorite Blue Light Blocking Glasses: TrueDark (15% Off) • Dave Asprey's BEYOND Conference: https://beyondconference.com • Dave Asprey's New Book – Heavily Meditated: https://daveasprey.com/heavily-meditated • Join My Substack (Live Access To Podcast Recordings): https://substack.daveasprey.com/ • Upgrade Labs: https://upgradelabs.com Timestamps: 00:00 – Trailer 00:36 – Intro 02:59 – Why Resistance Training Matters 03:38 – US vs. UK Health Culture 06:15 – Getting Started with Resistance Training 07:12 – Top 3 Movements Over 50 10:30 – Hip Mobility & Inflammation 12:19 – Hydration, Joints & Electrolytes 14:11 – Balance, Falls & Exercise Snacks 15:21 – Biological Age & Longevity 16:41 – Biohacking vs. Optimization 20:08 – Overtraining & the 3-2-1 Method 29:42 – Protein & Anabolic Resistance 33:57 – Energy, Fat & Cortisol 37:49 – Vestibular Health & Balance 50:07 – Gait & Movement Rehab 56:56 – Steps, VO2 Max & Wearables 57:25 – Book Promo 01:02:14 – 7,000 Steps 01:04:22 – Wrap-Up See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

"When the workforce does not align with the population, your system is misaligned by design." That candid observation comes from Tina Loarte-Rodríguez, DP, RN who has spent much of her two decade career in patient safety, risk management, and systems leadership as the only Latina in the room, which she sees as a signal of a systemic failure that demands structural solutions. As we mark National Nurses Month, Dr. Loarte-Rodríguez joins Raise the Line from Elsevier  host Lindsey Smith to explain why a culturally congruent workforce has important implications for access, trust and quality of care. This wide-ranging discussion also covers: What Dr. Loarte-Rodriguez means by "narrative infrastructure" and how a book series born during COVID is now shaping workforce conversations nationwide;   The case for making mentorship a core institutional system;   Why nursing burnout is not about a lack of resiliency.  Mentioned in this episode: Latinas in NursingThe Connecticut Center for Nursing Workforce If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Wearables, AI, and the Future of Parkinson's Care Host: Megan Antonelli Guest: Amy Gordon Franzen, CEO, Rune Labs Join host Megan Antonelli who sits down with Amy Gordon Franzen, the new CEO of Rune Labs, to explore how the company is redefining Parkinson's care through its StrivePD app. Powered by FDA-cleared movement analysis and one of the largest real-world Parkinson's datasets in existence, StrivePD now features an AI caregiver built from specialized agents, including a Medication Assistant, Symptom Expert, and PD Coach, delivering personalized, evidence-based guidance from each patient's real-time data. Tune in for a conversation about the science, policy, trust, and ethical questions shaping the future of neurological care. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen/

In this episode of the WHOOP Podcast, WHOOP SVP of Research, Algorithms, and Data Emily Capodilupo sits down with Renowned Cardiologist Dr. Mia Chorney and AI Entrepreneur Susan Sly to explore how AI is transforming women's health– specifically for women going through perimenopause and menopause. Drawing from personal experiences and clinical expertise, this episode unpacks why millions of women are dismissed or misdiagnosed throughout their perimenopause and menopause journey. Dr. Mia Chorney and Susan Sly explain the science behind hormonal changes, and how data, wearables, and AI can provide better support and earlier intervention. The conversation highlights the power of combining technology with empathy to help women better understand their bodies, advocate for their health, and avoid suffering in silence.(00:58) Introducing ThePause.ai Co-Founders: Dr. Mia Chorney & Susan Sly(02:21) Susan Sly's Journey Becoming an AI Tech Entrepreneur & Innovator(06:02) Dr. Mia Chorney's Move From Cardiology to AI Forward Medicine(09:16) Why So Many Women Get Dismissed: Perimenopause & Menopause Care(13:23) How Can Women Take Control of Symptoms & Care(19:00) The Women's Health Initiative Study: Why It's Detrimental To Menopause Health(21:43) Lifestyle Factors To Ease Menopause Symptoms (24:58) The 104 Symptoms of Menopause & The Impact of Nutrient Deficiencies (42:56) Talking With Your Partner: How To Navigate Conversations Around Menopause (48:02) 2 Key Takeaways For Women Experiencing Menopause(51:55) How Does Menopause Affect Men and What Do They Need To Know? Dr. Mia ChorneyInstagramLinkedInSusan SlyInstagramLinkedInWebsiteThePause.aiWebsiteLinkedInSupport the showFollow WHOOP:Sign up for WHOOP Advanced LabsTrial WHOOP for Freewww.whoop.comInstagramTikTokYouTubeXFacebookLinkedInFollow Will Ahmed:InstagramXLinkedInFollow Kristen Holmes:InstagramLinkedInFollow Emily Capodilupo:LinkedIn 

Joanna Stern is the author of "I Am Not a Robot: My Year Using AI to Do Almost Everything" and the founder of The New Thing. Stern joins Big Technology Podcast to discuss what happens when you infuse AI into every part of your life. Tune in to hear about her 48-hour road trip with an AI boyfriend, why she found chatbot relationships genuinely tempting, and what the sycophancy of these tools means for how we relate to each other. We also cover the promise and limits of AI wearables, how AI is quietly reshaping healthcare diagnostics from mammograms to dental X-rays, and whether Apple can finally deliver on Siri. Hit play for a fascinating look at the human side of living with AI, and why the biggest risks might not be technical. Join us for the Big Technology AI Summit: https://summit.bigtechnology.com/ --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

Our U.S. Healthcare Analyst Erin Wright discusses how health tracking and preventive diagnostics could influence healthcare costs and different industries, from fitness to retail.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I'm Erin Wright, Morgan Stanley's U.S. Healthcare Services Analyst. Today – the emergence of the self-directed patient and its implications. It's Tuesday, May 12th at 10am in New York. A blood test ordered from your phone. A wearable that tracks your sleep or nudges you to move, recover, hydrate, or rethink last night's dinner. Preventive health is moving out of the clinic and into everyday life. And that shift is becoming an investable theme. In essence, healthcare is moving from reactive to proactive. Instead of waiting for symptoms, more consumers are using lab tests, wearables, imaging, and digital tools to spot some these risks earlier. And this shift reaches well beyond healthcare. On our estimates, the U.S. spends about [$]3.4 trillion annually on chronic diseases, including lost economic productivity. About [$]1.4 trillion of 2024 spend was tied to preventable disease. So the big investment question is: can earlier detection and behavior change bend the cost curve? We think expanded preventive testing, screening, and monitoring can help avoid roughly [$]200 billion to [$]800 billion of U.S. healthcare spend by 2050. That assumes preventive testing reduces preventable disease costs by about 10% to 30% based on our analysis. Direct-to-consumer lab testing lets people order lab tests directly, often online, without starting with a traditional doctor visit. We see this as a roughly $4 billion U.S. market, which has more than doubled since 2021. And it's no longer niche. Our AlphaWise survey found that about 34% of respondents completed a voluntary wellness lab test in the past three years. Among users, the average was 3.2 tests, suggesting this is not just a one-time behavior. The most common test was a general health profile, used by about 45 percent of recent testers. Wearables are the other part of the story. Our survey found that 41 percent of respondents currently use a wearable or fitness device, while another 22 percent are interested in getting one. More importantly, people are acting on the data. 34 percent of wearable users today regularly change behaviors or decisions based on their device, and 52 percent even sometimes do so, based on our survey. That creates a feedback loop. A wearable might flag poor sleep. A lab test might show elevated glucose. A digital health tool might suggest changes to diet or exercise, or follow-up care. Over time, prevention starts to feel less like an annual event and more like a daily habit. The sector implications are broad. In healthcare, more testing may initially actually increase utilization as people follow up on results. But over time, earlier detection could obviously support lower-cost of care and better chronic disease management. That also aligns with value-based care, where providers and payers are rewarded for better outcomes and lower total costs, not just simply more services. In consumer sectors, better health tracking could shape food choices, reduce demand for some indulgent categories, and support products tied to hydration, lower sugar, protein, and functional benefits. Fitness may also benefit as gyms evolve from just workout destinations into broader wellness platforms, with recovery and coaching, and preventive health services layered in. Imaging is another emerging area, as screening shifts from reactive diagnostics toward earlier disease detection. Of course, there is some risk that these health tracking and consumer-driven diagnostics trends could still prove to be a wellness craze rather than the new normal. Out-of-pocket costs, privacy concerns, inconsistent interpretations, and limited repeat testing are all real issues. But consumers are clearly taking more control of their health and increasingly asking, “What can I learn before I get sick?” Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

Elite performance is not a personality trait. It is biology, managed intentionally. In this episode of The Game Changing Attorney Podcast, Michael Mogill sits down with Dr. Kristen Holmes, Global Head of Human Performance at WHOOP, to talk about what health tracking should actually do for you. They break down how to use wearable data without getting trapped in day-to-day noise, why sleep consistency beats chasing perfect sleep duration, and how recovery drives the capacity you need for clear thinking, stable energy, and better decisions. If you want the upside of high output without the crash that usually follows, this conversation gives you the framework. Here's what you'll learn: How to read your data in a way that supports better decisions, not more second-guessing What a strong baseline looks like across HRV, resting heart rate, respiratory rate, and VO2 max A simple starting point to stabilize sleep and recovery before you chase optimization If you want to perform like an outlier, start living like your biology matters. (00:00:00) Introduction (00:02:22) Wearables, Data, and Anxiety (00:05:47) HRV, CV, and Adaptation (00:09:55) VO2 Max and "Hard to Die" (00:14:50) LeBron Rules Apply to Everyone (00:16:56) Sleep Consistency Beats Duration (00:20:32) Sleep Debt and "Social Jet Lag" (00:23:01) Why Deep Sleep and REM Matter (00:25:26) Light Diet and Circadian Alignment (00:28:55) Why "Recovery" Isn't the Couch (00:29:39) Capacity, Stress, and Survival (00:32:37) Train Heart and Build Muscle (00:34:49) Heart Rate and Decision Quality (00:41:36) Wearables vs Drinking (00:43:22) The 80/20 Life and Your "Why" (00:47:24) Purpose, Autonomy, Connection (00:51:41) Building Team Capacity at Work (01:02:18) "Aligned": What the Book Covers (01:06:00) Closing ---- Links & Resources: WHOOP Heart rate variability (HRV) Respiratory rate VO2 max Peter Drucker Dr. Russell Foster's TED Talk Rory McIlroy Scott Galloway "Aligned" by Kristen Holmes ---- Learn what sustainable growth can look like for your firm at crispcoach.com. ---- Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 323. James Lawrence - The Power of One More: A Journey of Grit and Determination 170. Mat Fraser - The Fittest Man on Earth 21. Will Ahmed - Unlocking Human Performance

Send us Fan MailA 3 a.m. weigh-in on a smart scale turns into a relationship receipt, and that's where our night really takes off. We're watching the game, talking WNBA draft logic, and trying to understand how the league's draft rules, team records, and trades can create outcomes that feel way too convenient. From there we zoom out into sports history, franchise moves, and why certain team names still don't match the cities they play for. Then we go full nostalgia: malls, food courts, and those days when a slice of pizza and a lap around the stores was an actual plan. We trade memories about old commercials, classic comedy, and why the funniest sketches from the past land differently in a world that's way more online and way more reactive. The biggest thread tying it all together is modern tech and how it changes everything. Wearables, Wi‑Fi devices, doorbell cameras, facial recognition, and DNA are making it harder to hide bad behavior and easier to solve crimes years later. We also swap real stories about theft, car break-ins, organized scams, and the adult stress nobody warns you about like getting chased by collections for pocket change. We wrap with gym observations and a quick run-through of movies we're hyped to see. Subscribe, share the show with a friend, and leave a review if you like the wild mix of sports talk, tech paranoia, and real-life stories. What part of your life do you think technology is tracking more than you realize?Thanks for listening to the Nobody's Talking Podcast. Follow us on Twitter: (nobodystalking1), Instagram : (nobodystalkingpodcast) and email us at (nobodystalkingpodcast@gmail.com) Thank you!

Hannah Anderson on MAHA, Prevention, and Cutting Through Healthcare Bureaucracy On The Healthy CEO, host Jason interviews Hannah Anderson, AFPI's director of health policy and former deputy chief of staff for Robert F. Kennedy at HHS, about advancing MAHA from a wellness rallying cry into actionable policy. Anderson describes her Texas roots, her path into health policy, and the challenge of executing reforms inside a massive bureaucracy where incentives favor slowness and process can be used to obstruct priorities. She explains AFPI's role in transition planning and in developing patient-first ideas, especially around prevention, wearables, and making healthcare dollars support proactive health rather than only government-defined “preventive” services under the USPSTF framework. The discussion contrasts U.S. acute-care excellence with poor prevention, critiques diagnose-and-prescribe medicine, and emphasizes practical, broadly accessible MAHA principles: solutions for everyone, realistic 70% adherence, and individual responsibility for taking back one's health. 00:00 Welcome and Guest Intro 00:44 Sponsor Foundational Stack 02:22 Meet Hannah On Air 04:55 Texas Roots and MAHA 06:20 From Spring to DC 08:09 Making HHS About Health 13:33 Cutting Through Bureaucracy 22:24 Why She Joined AFPI 25:56 Prevention and Wearables 29:07 Obamacare Prevention Rules 29:58 Symptoms Over Root Causes 32:23 Primary Care Burnout 34:17 Prevention Versus Rescue Care 35:13 Wearables For Self Insight 37:47 CGM Sleep Food Lessons 40:25 Data Driven Prevention Policy 48:21 Making Maha For Everyone 53:21 Incentives For Healthy Metrics 55:40 Take Back Your Health 57:13 Closing And Medical Disclaimer

We can measure more about our health than ever before. Wearables track everything from heart rhythms to glucose trends, and AI can now identify patterns clinicians might miss. But more data does not automatically mean better health outcomes.In this episode, cardiologist and digital health expert Dr. Ami Bhatt joins Mike Haney to explore why medicine still struggles with prevention, how continuous health data can help patients take more agency, and where AI may actually improve care—not by replacing doctors, but by helping clinicians navigate the right information at the right time.They discuss the promise and pitfalls of wearables, the challenge of turning constant streams of health information into useful action, and why the future of medicine may depend on what Dr. Bhatt calls “collaborative intelligence”: humans and AI working together to make better decisions earlier.About the guest: Dr. Ami Bhatt is the chief innovation officer (CIO) at the American College of Cardiology and the Chair of the FDA Digital Health Advisory Committee. She received her undergraduate degree at Harvard University and her Doctor of Medicine at Yale University School of Medicine, and was the Director of Outpatient Cardiology, TeleCardiology, and Adult Congenital Heart Disease at the Massachusetts General Hospital.Sign Up to Get Your Free Ultimate Guide to Glucose: ⁠⁠⁠⁠⁠⁠⁠https://levels.link/wnl⁠⁠⁠⁠⁠⁠

The doctor is in....the box.  That's one way to describe how patients are now encountering their physicians in what's being described as the future of telehealth. Imagine that instead of a cancer patient in a rural area driving hours for an appointment to see their specialist at an academic health center, they can go to their local clinic and see a life-size, real-time, 3-D projection of them in a seven foot tall light box.  The doctor can see the patient through two-way video, and is assisted by a clinician in the exam room. The technology behind this remarkable scene is provided by a Los Angeles based start-up called Proto Hologram, whose founder and chairman, David Nussbaum, joins us on this episode of Raise the Line from Elsevier. "Our holograms start where Zoom ends and where physically being there begins," says Nussbaum, a TIME Healthcare100 honoree who has spent the last decade developing commercial and educational applications for holograms.  In addition to clinical settings, Proto units are being used at medical schools and senior living facilities and are playing a role in public health campaigns about breast cancer and vaccines. Join host Lindsey Smith for a fascinating conversation that covers: The role of holograms in extending access to specialty care; How the technology could be used to combat loneliness among seniors; Nussbaum's philosophy of "commercializing the impossible". Mentioned in this episode: Proto Hologram If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Most high performers don't realize they're running at 70% until someone shows them what 100% feels like. Dr. Tracy Gapin did —, and it changed everything. He was a busy urological surgeon: overweight, stressed, and ironically receiving the same inadequate "normal" care he was giving his own patients. So he walked away from traditional medicine to build something better.In this episode of The Daily Mastermind, George Wright III sits down with Dr. Tracy Gapin — founder of Peak Launch and author of Male 2.0 — to break down why high performers are the most likely to ignore the symptoms quietly destroying their decisions, their leadership, and their longevity. And more importantly, exactly how to fix it.This isn't a conversation about being "healthy." It's about optimizing the biological systems that determine how you lead, decide, and perform under pressure.What You'll Learn:– Why high performers normalize feeling "off" — and why that gradual decline is so dangerous– The most common blind spots: low testosterone, cortisol dysfunction, and microbiome imbalance– Why traditional medicine's volume-based model keeps missing what high performers actually need– Dr. Gapin's "Test, Design, Track" system — advanced biomarkers, personalized plans, and wearables– What peptides actually are, how they work, and why sourcing matters more than most people know– How CGMs (continuous glucose monitors) reveal what no standard lab test can– Why sleep quality — not just duration — may be the single highest-leverage optimization available– How to treat proactive health as a core leadership and business strategy01:07 Why He Left Urology03:06 High Performers Focus04:31 Feeling Off Explained07:01 Blind Spots: Hormones & Gut08:42 Stress and Entrepreneur Myths11:03 Why Doctors Are Behind the Science13:29 The Test, Design, Track System16:41 Key Biomarkers to Test18:20 Peptides: Safety Basics21:45 Tracking Outcomes and the App24:08 Wearables, CGMs & Sleep27:23 Cortisol and Night Wakeups29:10 Health as a Business Strategy30:24 The Future: AI and Individualized MedicineThanks for listening, and Please Share this Episode with someone. It would really help us to grow our show and share these valuable tips and strategies with others. Have a great day.George Wright III“It's Never Too Late to Start Living the Life You Were Meant to Live”FREE Daily Mastermind Resources:CONNECT with George & Access Tons of ResourcesGet access to Proven Strategies and Time-Test Principles for Success. Plus, download and access tons of FREE resources and online events by joining our Exclusive Community of Entrepreneurs, Business Owners, and High Achievers like YOU.Join FREE at DailyMastermind.comFollow me on social media Facebook | Instagram | Linkedin | TikTok | YoutubeGrow Your Authority and Personal Brand with a FREE Interview in a Top Global Magazine HERE.About the Guest:Dr. Tracy Gapin is a renowned physician, TEDx speaker, and the founder of Peak Launch, a precision performance medicine practice dedicated to helping high-achieving men and women optimize their health. With over 25 years of medical experience and as the author of Male 2.0, he specializes in using epigenetics and advanced diagnostics to restore energy and focus. Guest Resource:Website: https://drtracygapin.com/Instagram: https://www.instagram.com/drtracygapin/Facebook: https://www.facebook.com/drtracygapin/LinkedIn: https://www.linkedin.com/in/tracygapin/

Measuring physical activity in 3 steps a. Give the sensor to a client (face-to-face or mailing) b. Client goes live their life  c. Create participant report (with behavior change consultation) ------ Dr Miriam Cabrita has done her Bachelor and Master degrees at NOVA School of Science and Technology in Portugal, and her PhD in biomedical engineering in University of Twente Then she has worked at Roessingh Research and Development Center in Netherlands for 8 years coordinating and managing EU research projects related to eHealth Teaching also courses on Physical Activity, Digital Health and Virtual Coaching at the University of Twente. She has acted as a Board Member for 5 years in International Society for the Measurement of Physical Behaviour (ISMPB) Currently she is working as a Chief Customer Officer at Fibion Inc. _____________________   This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Collect self-report physical activity data easily and cost-effectively with Mimove. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen Follow Fibion on Twitter https://twitter.com/fibion https://www.youtube.com/@PA_Researcher

What if your stress isn't just affecting your mood—but quietly shortening your life and weakening your decisions? In this episode, Santosh Kumar reveals how managing your heart rate and releasing stress can unlock clearer thinking, better leadership, and a longer life.   In this episode, Dean Newlund and Santosh Kumar discuss: The concept of a lifetime “heart rate budget” and how it affects longevity The difference between physical stress and emotional stress How calmness directly impacts decision-making and leadership effectiveness The role of wearable technology in tracking stress and improving self-awareness Practical ways to release stress and prevent long-term health and performance decline   Key Takeaways: Leaders can improve both longevity and performance by managing how they “spend” their heart rate budget and investing in habits like exercise. Unreleased emotional stress is more harmful than physical exertion because the body generates energy that isn't used. Calmness improves decision-making, while stress narrows thinking and drives short-term, reactive choices. Simple actions like movement or breathing can release stress in real time and restore clarity. Wearable tools can build awareness of stress patterns today, while team-level stress visibility is feasible but not yet released.   "You don't get to control what is your budget, but you get to control how you spend that budget.” — Santosh Kumar   About Santosh Kumar: Santosh Kumar is the Lillian & Morrie Moss Chair of Excellence Professor in Computer Science at the University of Memphis and CEO & Cofounder of CuesHub. He is also Director of NIH-funded national research centers in Wearable AI called the mDOT Center and the MD2K Center of Excellence. He has been recognized as America's Ten Most Brilliant Scientists by Popular Science magazine, has been invited to give a talk on the Future of Biosensors at the White House, and has received the Distinguished Alumni Award from The Ohio State University.   Connect with Santosh Kumar:   Website: https://cueshub.com/ LinkedIn: https://www.linkedin.com/in/santoshkumar4/       See Dean's TedTalk “Why Business Needs Intuition” here: https://www.youtube.com/watch?v=EEq9IYvgV7I Connect with Dean:YouTube: https://www.youtube.com/channel/UCgqRK8GC8jBIFYPmECUCMkwWebsite: https://www.mfileadership.com/The Mission Statement E-Newsletter: https://www.mfileadership.com/blog/LinkedIn: https://www.linkedin.com/in/deannewlund/X (Twitter): https://twitter.com/deannewlundFacebook: https://www.facebook.com/MissionFacilitators/Email: dean.newlund@mfileadership.comPhone: 1-800-926-7370 Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it.

What does it take to transform over 300 wearable devices' worth of chaos into actionable insights powering healthcare, insurance, and wellness? In this episode of Predictable B2B Success, we sit down with Marco Benitez, a former taekwondo champion turned biomedical engineer and CEO of Rook, and explore the world where fitness, data integration, and enterprise sales collide. With a background spanning pharmaceutical giants like Roche and Novartis and an entrepreneurial journey starting in Mexico's fitness scene, Marco Benitez reveals how a pivot during the pandemic propelled Rook from hardware struggles to the heart of data analytics, connecting streams from Apple Watches, glucose monitors, and more. Curious how Rook slashed slow B2B sales cycles, won enterprise trust, and turned technical complexity into growth? You'll hear why outcome-based pricing beats per-call costs, how radical transparency is their unexpected sales secret, and the frameworks that help them manage decision-maker committees at every stage of adoption. From real-world insights in pharma to the surprising revenue power of podcast guesting, this episode unpacks why building a data business isn't just about technology. It's about people, persistence, and asking the right questions. Tune in for a candid peek behind the tech and discover what most B2B founders are missing. Some areas we explore in this episode include: Pivot from Hardware to Data Integration: Marco Benitez discusses Rook's transition from creating wearables to unifying health data.Wearables in Healthcare & Insurance: Integration challenges and value for healthcare, insurance, and wellness industries.Data Ownership and Privacy: Consent-driven data sharing and user control over personal health information.Team & Leadership Strengths: Emphasis on discipline, process, and a people-centric leadership style.Shortening Enterprise Sales Cycles: Moving from outbound to inbound-driven growth to accelerate B2B sales.Evidence-Based Selling: Leveraging proof and data to persuade technical and C-level buyers.Navigating Multi-Stakeholder Sales: Tailoring sales approaches to different enterprise personas and industries.Problem-Based Selling: Focusing on solving customer problems rather than listing features.Value/Outcome-Based Pricing: Helping clients view pricing in terms of ROI instead of transaction volume.Radical Transparency and Trust: Building trust through transparency with clients and a distributed team culture.

It's time to build your family's future on a foundation of true health and freedom. Join us at Future Foundations—because your future generations deserve the best start to the mission that will outlive us… Check it out here. Use code FREEDOM25 for 25% off!    Whether you're looking for tinctures, topicals or teas or a deeper connection to your INNATE healing capacity, Noble Task Homestead is here to serve you. Join the movement. Visit NobleTaskHomestead.com/noblestan today and enjoy a 10% discount on your order.   San Diego area residents, take advantage of our special New Patient offer exclusively for podcast listeners here. We can't wait to experience miracles with you!   Welcome to a new episode of the Future Generations Podcast! In this powerful conversation, Dr. Stanton Hom and Apollo explore the intersection of nutrition, environment, technology, and personal sovereignty. The discussion ranges from the truth about raw milk, seed oils, and baby formula to how light, EMFs, and wearables are reshaping human physiology and behavior. You'll also hear a challenging breakdown of vaccines, autism, censorship, and liability, as well as reflections on assisted death, elder care, and honoring our ancestors. The episode concludes with a practical path forward through Future Foundations, a system designed to help families become so healthy and free that they rarely need the conventional medical system.   Highlights: "The quantity of calories matters less than the quality of calories. It's that simple."   "Most people think the problem is the food, but it's often what they did to the food that's destroying your body."   "We should be more afraid of not being in the sun than being in the sun between 11 and 4."   "Without liability, there's no room for transparency, no room for integrity, and no room for accountability."   "They censor the cause and they censor the solutions, so people stay trapped in the system for life."   Timestamps: 00:00 - Introduction 04:57 – Raw Milk vs. Pasteurized Milk: Demonized or Healing? 09:06 – Weston A. Price, Ancestral Diets, and Modern Degeneration 15:00 – Dairy Allergies, Raw Milk, and Healing "Intolerances" 20:35 – Raw Milk Laws, FBI Raids, and the Criminalization of Food 24:15 – Baby Formula, Seed Oils, and the "Calories Are Just Calories" Lie 30:50 – Sunglasses, Circadian Rhythm, and Why Light Sensitivity Is a Nervous System Problem 48:55 – AI, Technocratic Medicine, and the Breakdown of the Doctor–Patient Bond 53:48 – Wearables, EMFs, and the Hidden Costs of Constant Tracking 1:09:54 – Nicotine, Big Pharma, and Following the Money in Autism 1:31:19 – Coma, Assisted Death, and the Moral Dilemma of "Playing God"   Resources:   Remember to Rate, Review, and Subscribe on iTunes and Follow us on Spotify!   Learn more about Dr. Stanton Hom on:   Instagram: https://www.instagram.com/drstantonhom    Website: https://futuregenerationssd.com/  Podcast Website: https://thefuturegen.com  Twitter: https://twitter.com/drstantonhom   LinkedIn: https://www.linkedin.com/in/stanhomdc   Stay Connected with the Future Generations Podcast:   Instagram:  https://www.instagram.com/futuregenpodcast   Facebook: https://www.facebook.com/futuregenpodcast/     The desire to go off grid and have the ability to grow your own food has never been stronger than before. No matter the size of your property, Food Forest Abundance can help you design a regenerative layout that utilizes your resources in the most synergistic and sustainable manner. If you are interested in breaking free from the system, please visit www.foodforestabundance.com and use code "thefuturegen" to receive a discount on their incredible services.   Show your eyes some love with a pair of daylight or sunset (or both!) blue-light blocking glasses from Ra Optics. They have graciously offered Future Generations podcast listeners 10% off any purchase. Use code FGPOD or click here to access this discount, and let us know how your glasses are treating you!   One of the single best companies whose clean products have supported the optimal wellness of our family is Earthley Wellness. Long before there was a 2020, Kate Tetje and her team have stood for TRUTH, HEALTH and FREEDOM in ways that paved the way for so many of us. In collaboration with this incredible team, we are proud to offer you 10% off of your first purchase by shopping here.   Are you concerned about food supply insecurity? Our family has rigorously sourced our foods for over a decade and one of our favorite sources is Farm Match and specifically for San Diego locals, "Real Food Club PMA". My kids are literally made from their maple breakfast sausage and the amazing carnitas we make from their pasture raised pork. We are thrilled to share 10% off your first order when you shop at this link.   Another important way to bolster food security is by supporting local ranchers. Our favorite local regenerative ranch is Perennial Pastures. They have the best nutrient-dense meats that are 100% grass-fed and pasture-raised. You can get $10 off of your first purchase when you use the code: "FUTUREGENERATIONS" at checkout. Start shopping here.

Episode Notes It's all about the wearables. Jenine is joined in this episode by Lynette Frison, Alexandra Heatwole, Vinu Somayaji and Kasem Mohamed from our “Aira with Meta AI Glasses Town Hall”. They'll cover resources about using the Meta AI glasses and answer your questions. Then Aira Explorer Roger Cusson brings us a demo of using Aira with the Agiga Echo vision glasses.  User Guide for Meta AI glasses  https://airatechcorp.my.site.com/helpcenter/s/article/User-Guide-Meta-Aira. Send us your comments and experiences at community@aira.io. Questions or comments about the podcast? Email us at airacast@aira.io. Find out more at https://airacast.pinecast.co This podcast is powered by Pinecast.

What are the basics of physical activity measurement with devices? a. Sensor location: thigh, hip, back, wrist b. Type of data you can get: raw -> steps -> activity type -> activity intensity -> “complexity” c. Considerations to have when choosing a sensor      i. User-friendliness (battery, aesthetics, comfort, interaction required) d. Feedback to participants      i. Real-time or at defined moments e. Feedback to practitioners (dashboard) f. In most cases, you can also measure sleep.   Dr Miriam Cabrita has done her Bachelor and Master degrees at NOVA School of Science and Technology in Portugal, and her PhD in biomedical engineering in University of Twente Then she has worked at Roessingh Research and Development Center in Netherlands for 8 years coordinating and managing EU research projects related to eHealth Teaching also courses on Physical Activity, Digital Health and Virtual Coaching at the University of Twente. She has acted as a Board Member for 5 years in International Society for the Measurement of Physical Behaviour (ISMPB) Currently she is working as a Chief Customer Officer at Fibion Inc. _____________________   This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Collect self-report physical activity data easily and cost-effectively with Mimove. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen Follow Fibion on Twitter https://twitter.com/fibion https://www.youtube.com/@PA_Researcher

May 1, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Parsley Health goes in-network nationwide covering up to 150M Americans, moving functional and longevity care into reimbursement at scale FDA proposes excluding semaglutide and tirzepatide from bulk compounding lists, limiting 503B pharmacies' ability to produce lower-cost GLP-1 alternatives Garmin reports $1.75B Q1 revenue up 14% with fitness segment hitting $547M up 42%, now accounting for 31% of total revenue as largest division More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider Reach out → insider@fitt.co

“One of the reasons The Pitt has been so successful is because it's showing real expertise in a time when everybody thinks they're an expert,” says Dr. Mel Herbert, who brings decades of experience as an emergency medicine specialist to his work as a writer and consultant on the hit HBO Max show. Dr. Herbert, who was also a consultant on the groundbreaking TV drama ER, is one of seven physicians on The Pitt's writing and production team, which explains the high degree of medical accuracy that is a hallmark of the show. But Dr. Herbert is also proud of the emotional accuracy captured on screen. “It's about the emotions. It's about the stress. It's about how it really affects the doctors and the nurses that I've found the most interesting to write about.” In this candid conversation with host Lindsey Smith, Dr. Herbert talks about his own struggles coping with the demands of life in the emergency room and the importance of letting clinicians know that help is available. “You don't have to suffer. We can help you now in ways we couldn't even do ten years ago. That's the story I want to tell.”  In addition to his work using TV as an educational vehicle, Lindsey and Dr. Herbert discuss his real world efforts to provide emergency medicine education across the globe through his companies EM:RAP and EM:RAP GO.  Stay tuned to this very special episode of Raise the Line with Elsevier in which you will also: Learn how writers tackle misinformation and hot button health topics; Get a behind the scenes look at how actors learn complex medical terminology; Discover who Dr. Herbert's favorite characters are. Mentioned in this episode: The PittMental Health Resources from American College of Emergency PhysiciansEM:RAPThe Extraordinary Power of Being Average If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Using wearables (think Apple watch, fitbit, phone) in your plan of care can amplify your outcomes. Join Dustin Jones as he discusses a recent RCT that used wearables in cardiac rehabilitation that had some pretty wild results. We'll discuss HOW to do this in clinic with your patients to get better results. We'll also troubleshoot common barrier to implementation. You can catch the live video recording here in the ICEphysio app - https://app.ptonice.com/c/ptonice-daily-show/wearables ---- Want to make sure you stay up to date in all things Geriatrics in less than 3 minutes every other week? Join thousands of others in our free MMOA Digest Email list - https://institute-of-clinical-excellence.kit.com/a3837f54b7  

The startup specializes in "non-invasive" "mind-reading" tech — a kind of neural data collection that, its CEO hopes, will have all sorts of consumer applications. Learn more about your ad choices. Visit podcastchoices.com/adchoices

How to measure physical activity?  a. Questionnaires (self-assessment) i Type:      1. Time frame: last month / week / day / now      2. Paper vs. technology based (app) ii. Pros iii. Cons b. Sensors i. Type:      1. Consumer vs. Research-oriented ii. Pros iii. Cons c. Other methods:      i. E.g. Environmental sensing, GPS, IoT   Dr Miriam Cabrita has done her Bachelor and Master degrees at NOVA School of Science and Technology in Portugal, and her PhD in biomedical engineering in University of Twente Then she has worked at Roessingh Research and Development Center in Netherlands for 8 years coordinating and managing EU research projects related to eHealth Teaching also courses on Physical Activity, Digital Health and Virtual Coaching at the University of Twente. She has acted as a Board Member for 5 years in International Society for the Measurement of Physical Behaviour (ISMPB) Currently she is working as a Chief Customer Officer at Fibion Inc. _____________________   This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Collect self-report physical activity data easily and cost-effectively with Mimove. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen Follow Fibion on Twitter https://twitter.com/fibion https://www.youtube.com/@PA_Researcher

In this episode, Dr. Jockers sits down with Cynthia Thurlow to break down how your gut directly influences hormone balance during perimenopause and beyond. You'll learn how the microbiome regulates estrogen and why poor detoxification can amplify symptoms. This conversation connects the dots between gut health, hormones, and how your body changes with age.   You'll discover what's really happening inside the gut when symptoms like bloating, brain fog, and weight resistance show up. Cynthia explains the role of the estrobolome, leaky gut, and inflammation in driving hormone imbalance. She also unpacks why many women feel worse in perimenopause—and what that signals about overall health.   You'll also learn practical strategies to support your gut and hormones without overcomplicating your routine. From protein intake and fiber to stress, sleep, and fasting, this episode highlights what actually moves the needle. Along the way, you'll pick up simple shifts that can create meaningful changes over time.   In This Episode:  00:00 PCOS Not Thyroid 00:27 Gut Hormone Podcast Intro 05:14 Why Menopause Gut 08:16 Estrobolome Estrogen Detox 12:33 Progesterone Drop Symptoms 13:08 PCOS Estrogen Dominance 15:29 Progesterone GABA Sleep 17:41 What Gut Changes Look Like 22:07 Fiber SCFAs GLP1 27:26 Gut Health Strategies 32:58 Ramp Up Fiber Slowly 33:18 Movement for Microbiome 34:55 Recovery Beats Overtraining 35:51 Protein Fat Fiber Balance 37:21 Bioindividual Nutrition 42:22 Plant Variety Polyphenols 43:49 Sleep Strategy Stack 48:10 Wearables and CBTI 50:08 Fasting for Women Nuance 52:52 Growth Hormone Cortisol 56:19 Microbiome Small Changes 57:08 Book Bonuses and Wrap Up 58:00 Final Podcast Outro   Quality sleep is crucial for healing, recovery, and overall health. Paleovalley's Superfood Sleep Protein supports your body's natural sleep process with whole food ingredients like melatonin from tomatoes, magnesium for relaxation, and chamomile for stress relief. Say goodbye to grogginess and hello to restorative rest. For a limited time, save 15% on your purchase at paleovalley.com/jockers with the code JOCKERS. If you want practical, natural strategies to balance your hormones, heal your gut, boost your energy, and slow aging, don't miss The Dr. Josh Axe Show. Dr. Axe blends ancient wisdom with cutting-edge science and brings on world-class experts for unfiltered conversations you won't hear anywhere else. Transform your health from the inside out and subscribe to The Dr. Josh Axe Show, with new episodes every Monday and Thursday. Most skincare products only treat the surface, but OneSkin is built differently. Developed by longevity researchers, their proprietary OS-01 peptide is scientifically proven to target aging at the cellular level by switching off damaged senescent cells—the root cause of visible skin aging. Backed by clinical studies and thousands of 5-star reviews, OneSkin helps you achieve healthier, younger-looking skin without a complicated routine. For a limited time, get 15% off your order at oneskin.co/drjockers using code DRJOCKERS. If you're tired of being told everything is "fine" without real answers, SuperPower Health gives you a deeper look into your health with 100+ biomarkers from a single blood draw. Their platform breaks down insights across hormones, metabolism, heart health, toxins, and more—plus tracks your results over time so you can see real progress. You'll also get access to an on-demand clinician team to help interpret your results. Right now, memberships are just $199, and you can get an extra $20 off when you use code JOCKERS at superpower.com.   Looking for a reset that actually works at the cellular level? L-Nutra's ProLon 5-Day Fasting Mimicking Diet is a science-backed program developed with the USC Longevity Institute to support fat loss, metabolic health, and healthy aging—without fully fasting. This plant-based program includes ready-to-eat meals designed to keep your body in a fasting state while still nourishing it, triggering deep cellular repair and rejuvenation. For a limited time, get 15% off sitewide plus a $40 bonus gift when you subscribe at prolonlife.com/jockers. "Small changes in your gut health, like adding fiber or deep breathing, can make a big impact on your overall well-being."     Subscribe to the podcast on: Apple Podcast Stitcher Spotify PodBean  TuneIn Radio   Resources: Support deeper sleep with PaleoValley's Superfood Sleep Protein and save 15%: https://paleovalley.com/jockers Try OneSkin's longevity-based skincare and get 15% off your order with code DRJOCKERS: https://oneskin.co/drjockers Unlock advanced health insights with SuperPower's 100+ biomarker test and take $20 off using code JOCKERS: https://superpower.com Reset your metabolism with ProLon's 5-Day Fasting Mimicking Diet and enjoy 15% off plus a $40 bonus gift: https://prolonlife.com/jockers     Connect with Cynthia Thurlow: Book: https://a.co/d/0cKm0liM   Connect with Dr. Jockers: Instagram – https://www.instagram.com/drjockers/ Facebook – https:/www.facebook.com/DrDavidJockers YouTube – https://www.youtube.com/user/djockers Website – https://drjockers.com/   If you are interested in being a guest on the show, we would love to hear from you! Please contact us here! - https://drjockers.com/join-us-dr-jockers-functional-nutrition-podcast/

Most companies don't think about employee mental health until something goes wrong and by then, it's already too late. In this episode, Brandon Laws sits down with Stephen Sokoler, founder and CEO of Journey and author of The Mental Health Advantage, to make the case for flipping that script entirely. Stephen shares his own transformative personal journey from a decade of rollercoaster habits to discovering meditation through a book he bought at a mall and connects those lessons to what he's building at the organizational level. The conversation covers why traditional EAPs are fundamentally broken, what a 30%+ engagement rate looks like compared to the industry-standard 3%, how AI and tools like Journey Signal are enabling real-time proactive mental health support, and why culture change has to start at the top. Whether you're an HR leader, executive, or someone simply trying to build better habits, this episode is packed with insights you can't afford to miss! ⏱️ Key Timestamps 00:02 — Welcome & introductions: Stephen's book, The Mental Health Advantage, and the focus on proactive mental health at work 00:48 — Stephen's personal story: from gym rat to sloth — and how discovering a book called Buddhism for Busy People at a mall changed everything 02:22 — Demystifying meditation: why it's simple but not easy, and what consistent practice actually does for your day 05:05 — The reactive vs. proactive gap: why society — and employers — default to treating mental illness rather than building mental wellness 08:14 — The EAP problem: why only 3% of employees use their benefits, why EAPs are designed to stay in the background, and what a better model looks like 10:30 — Journey's approach: flipping the EAP model on its head to achieve 30–40%+ employee engagement and treating mental health as "the operating system of the company" 11:32 — Mental health is not a peak state: why the goal isn't to "achieve" mental wellness and check a box — it's an ongoing practice, like going to the gym 14:04 — Bridging the gap: supporting employees with diagnosed mental health conditions while simultaneously building a proactive culture for everyone else 16:13 — Constant engagement in practice: how Journey meets employees where they are — from Slack and Teams apps to break room tablets to daily check-in emojis 18:22 — Introducing Journey Signal: the real-time AI intelligence engine that detects patterns and reaches employees before burnout or turnover happens 20:06 — Wearables and the future of data: the promise and current limits of integrating biometric data into workplace mental health programs 22:00 — Leadership buy-in: why culture change starts at the top, and how a CEO's behavior — even indirectly — sets the mental health tone for 25,000 employees 24:36 — Industry-specific mental health: why a law firm and a hospital system have very different needs, and what Journey is quietly rolling out to address that 26:24 — Metrics that matter: from awareness and engagement to clinical outcomes, daily emoji check-ins, healthcare cost trends, and absenteeism 29:25 — AI and the future of mental health: personalized care recommendations, smarter benefit navigation, and why Stephen isn't excited about replacing therapists with AI 35:07 — Parting wisdom: the compounding effect of simple, consistent mental health practices — and how to connect with Stephen and Journey

Host Eric Malzone sits down with Marco Benitez, CEO and Co-founder of ROOK — and former TaeKwondo champion turned biomedical engineer — to get real about where the fitness and wellness industry stands in the age of AI and wearable data. Marco pulls from his background at Roche and Novartis to explain why clean, unified data is the foundation everything else is built on, and why most operators are sitting on gold they don't know how to mine. From pharma clinical trials using Oura rings to track narcolepsy patients, to longevity brands leveraging sleep data to drive upsells, to the looming reality of AI agents reshaping how we interact with health professionals — this conversation doesn't sugarcoat anything. Eric and Marco also dig into the "dead internet" theory, AI hallucinations, self-driving cars, and why soft skills might be the most valuable thing you can develop right now. If you're in fitness, healthcare, or anywhere near the wellness space and you're not thinking seriously about your data strategy, this episode is your wake-up call. Key Takeaways:

Email: bidemiologunde@gmail.comIn this episode, host Bidemi Ologunde explores two major stories shaping healthier uses of technology: the rise of smartwatches and AI-enabled health alerts as early-warning tools, and the growing global push for phone-free schools and delayed smartphones for children. Can wearable devices help people notice health risks sooner without replacing doctors? Are school phone bans enough to improve focus, wellbeing, and social connection? And how can families, educators, patients, and product builders use technology with more purpose, restraint, and human judgment?Support the show

"Headache is just a teeny piece of the puzzle," says Dr. Regina Krel, an insight that's at the heart of why migraine syndrome, one of the leading causes of disability worldwide, remains so persistently misunderstood. In this informative conversation with Raise the Line from Elsevier host Michael Carrese, Dr. Krel, the director of Headache Medicine at Hackensack University Medical Center, explains migraine as a storm that sensitizes the entire brain, not just the site of the headache, which explains the long list of symptoms people experience including sensitivity to light and sound, brain fog, fatigue and problems with balance. “The headaches can be severe, but it's the other symptoms that really kind of take over your whole body that make patients dysfunctional.” Dr. Krel also explains why migraine disproportionately impacts women in the prime of their working and caregiving years, and offers guidance for treating migraines in women, whose symptoms are commonly dismissed by non-specialists. Stay tuned to also learn about: The "migraine triangle"; Why stigma around migraine persists even in doctors' offices; New treatment options including neuromodulation devices. Mentioned in this episode: Headache Center at Hackensack University Medical Center If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Wearables are quickly becoming the next recurring revenue stream for tech companies - but are they also becoming our next primary interface? In this edition of the Web News, Matt and Mike break down the evolution of wearables, from smartphones to smartwatches and fitness rings, and dive deep into the emerging world of smart glasses. With devices like Meta's Ray-Bans already offering cameras, audio, and AI integrations - and future versions potentially adding heads-up displays (HUDs) - we may be on the verge of a major shift in how we interact with technology. But where do smart glasses actually fit? Are they productivity tools, entertainment devices, or simply another niche like smartwatches? And as AI reduces our need to constantly stare at screens, could wearables become our new “always-on” interface? From digital minimalism to always-connected AI agents, this episode explores whether smart glasses are just another gadget - or the beginning of something much bigger. ‍Show Notes: https://www.htmlallthethings.com/podcast/are-smart-glasses-the-next-tech-interface

Wie Wearables die Medizin verändern

To mark the sixth anniversary of Raise the Line from Elsevier we're revisiting one of the most remarkable stories we've had the privilege of sharing over the last 575 episodes. To do that, we're delighted to welcome back Dr. David Fajgenbaum, a physician-scientist who repurposed an existing medication that saved his own life from Castleman disease, an ultra-rare condition that nearly killed him on five occasions. Because there was no treatment specifically for Castleman, Dr. Fajgenbaum set out to find a previously approved medication that might work. “I eventually found a drug that was made for another disease 50 years ago. It's been over 12 years that I've been doing great on this medicine.”   When he first joined us in 2022, Dr. Fajgenbaum was just launching a non-profit organization called Every Cure with the hope of replicating the success he achieved in his own case, and as you'll learn in this inspiring interview with host Lindsey Smith, its work has already saved thousands of lives. “It's a tragedy if someone dies while there's already a drug in their local hospital that could help them.”  In the latest installment of our Year of the Zebra series on rare conditions, you'll hear an inspiring example of a life saved by this approach and also learn about: The role of artificial intelligence in scanning thousands of medications and diseases to find possible matches; How Every Cure decides which drugs merit the costly research needed to confirm a match;  Dr. Fajgenbaum's philosophy of “living in overtime.” Mentioned in this episode:Every Cure Osmosis Video on Castleman Disease Dr. Fajgenbaum's Bestselling Memoir, Chasing My Cure If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Powered by QALO x ALLSMITHBefore we dive in… this one matters.We've partnered with QALO to bring you a tool that doesn't just track your life it helps you improve it. The QRNT Slim Smart Ring gives you real feedback on sleep, recovery, HRV, and daily readiness so you can build awareness around your habits and actually make better decisions.This isn't about more dataIt's about better behaviorIf you're ready to take ownership of your health, head to Qalo.com/allsmith and get a discount on all QALO productsBecause the data isn't the problemWhat you do with it is⸻Podcast DescriptionWe live in a world obsessed with measurementStepsSleepCaloriesHRVWe track everythingBut still feel stuckWhyBecause data doesn't create changeAction doesToday's conversation with Jake Curreri, CEO of QALO, is a deep dive into the gap between knowing and doing. From engineering at Nike to building companies and stepping into the arena of health tech, Jake has seen both sides of performance data and human behavior.We explore wearable culture, the broken systems inside fitness and healthcare, and the rise of tools like peptides and GLPs. We talk about entrepreneurship, profit, and why great ideas fail without real business foundations. And we bring it back to what matters most… how you show up across faith, family, fitness, finances, fashion, and fun.This is a conversation about awarenessOwnershipAnd the courage to change⸻Timestamps0:00 The illusion of tracking everything but changing nothing3:45 Jake's origin story and early identity8:20 The Tonight Show, failure, and chasing curiosity12:10 Fitness One Clubs and the reality of the fitness industry16:40 Building Baseline and lessons in product market fit21:30 Why most startups fail without profit25:15 Inside Nike and building at scale30:50 Founding Smallworld and behavior-driven tech36:20 Why health apps fail to change real habits41:10 Stepping into QALO and the future of wearable tech47:30 HRV, sleep, steps what actually matters52:40 Wearables awareness vs dependency58:00 Broken systems in fitness and healthcare1:03:15 Women in fitness and industry evolution1:07:40 Peptides, GLPs, and modern health shortcuts1:12:30 Entrepreneurship, money, and reality1:18:10 The 6 F's faith, family, fitness, finances, fashion, fun1:24:00 What Jake believes that most people don't1:28:30 Practical takeaways you can apply today1:32:00 What are we really building⸻Quotes“Data doesn't change your life your decisions do.”“If your wearable isn't changing your behavior it's just expensive jewelry.”“Most people don't need more information they need more courage to act.”“A great product without profit isn't a business it's a hobby.”“You don't rise to your goals you fall to your systems.”“Health isn't found in numbers it's built in habits.”“The best technology in the world still loses to inconsistency.”“Success without alignment is just a well dressed distraction.”⸻Final ReflectionWe're not here to track perfect daysWe're here to build a lifeOne decision at a timeForged not foundIf this episode hit home, share it with someone who's ready to stop watching and start stepping into their lifeFollow @therealbrycesmith and @allsmithcoSubscribe on YouTube,Thank you for Listening! Learn more below.ALLSMITH IG ALLSMITH YouTubeBryce Smith IG

For all those who missed out on London, see you in Miami next week!Notion, the knowledge work decacorn, has been building AI tooling since before ChatGPT, with many hits from Q&A in 2023 and unified AI in 2024 and Meeting Notes in 2025. At the end of their last Make user conference, Ryan Nystrom teased Notion 3.0's Custom Agents - and they are finally embracing the Agent Lab playbook!Sarah Sachs and Simon Last of Notion join us for a deep dive into how Notion built Custom Agents, why it took years and multiple rebuilds to get right, and what it means to turn a productivity tool into an agent-native system of record for enterprise work.We go inside the product, engineering, evals, pricing, and org design decisions behind one of the most ambitious AI product efforts in software today — from early failed tool-calling experiments in 2022 to agent harnesses, progressive tool disclosure, meeting notes as data capture, and the long-term vision for software factories and agentic work.We discuss:* Sarah and Simon's path to launching Notion Custom Agents, and why the feature was rebuilt four or five times before it was ready for production* Why early agent attempts failed: no tool-calling standard, short context windows, unreliable models, and too much complexity exposed to the model* The “Agent Lab” thesis: not just wrapping a model, but understanding how people collaborate and building the right product system around frontier capabilities* How Notion thinks about roadmap timing: not swimming upstream against model limitations, but also building early enough that the product is ready when the models are* Why coding agents feel like the kernel of AGI, and how Notion is thinking about “software factories” made up of agents that spec, code, test, debug, review, and maintain codebases together* How Sarah runs AI engineering at Notion (“notes from Token Town”): objective-setting over idea ownership, low-ego teams comfortable deleting their own work, and a culture designed to swarm around fast-changing opportunities* The “Simon Vortex,” company hackathons, and why security gets pulled in early rather than late* How Notion organizes AI: core AI capabilities and infrastructure, product packaging teams, and a broader company mandate that every product surface must increasingly work for both humans and agents* Why prototypes have become much easier to build internally, and how “demos over memos” changes product development inside a tool the whole company already uses every day* Notion's eval philosophy: regression tests, launch-quality evals, and “frontier/headroom” evals that intentionally only pass ~30% of the time so the company can see where model capabilities are going* What a “Model Behavior Engineer” is, and why Notion treats eval writing, failure analysis, and model understanding as a distinct function rather than just software engineering* The changing role of software engineers in the age of coding agents, and why the new job looks less like typing code and more like supervising a rigorous outer system of agents, PRs, and verification loops* How the “software factory” should work: specs, self-verification, bug flows, subagents, and minimizing human intervention while preserving the invariants that matter* A live walkthrough of a Notion Custom Agent handling coworking space tenant applications by triaging email, enriching applicants with web search, and writing structured data into a Notion database* How agents compose inside Notion: shared databases as primitives, agents invoking other agents, “manager agents” supervising dozens of specialized agents, and memory implemented simply as pages and databases* Notion's take on MCP vs CLI: why Simon is bullish on CLI's self-debugging nature, where MCP still makes sense, and how Sarah thinks about capability, determinism, permissioning, and pricing alignment* The evolution of Notion's internal agent harness: from early JavaScript coding agents, to custom XML, to Markdown and SQL-like abstractions, to tool definitions, progressive disclosure, and a much shorter system prompt* Why Notion cares about teaching “the top of the class,” building for sophisticated operators rather than abstracting away too much capability for everyone* How agent setup works today: agents that can configure themselves, inspect their own failures, and edit their own instructions — with guardrails around permissions* How Notion prices Custom Agents: credits as an abstraction over tokens, model type, serving tier, web search, and future sandbox costs; why usage-based pricing was necessary; and how “auto” tries to match the right model to the right task* Why Notion is not eager to train a foundation model, where they do fine-tune and optimize today, and why retrieval/ranking is one of the most important investment areas as more searches come from agents rather than humans* Why Meeting Notes became one of Notion's strongest growth loops: not just as transcription, but as high-signal data capture that powers search, custom agents, follow-up workflows, and the broader system of record for company collaboration* Why Notion is more interested in being the place where collaboration data lives than in building hardware themselves — and how wearables or other capture devices may eventually feed into that systemSarah SachsLinkedIn: https://www.linkedin.com/in/sarahmsachsX: https://x.com/sarahmsachsSimon LastLinkedIn: https://www.linkedin.com/in/simon-last-41404140X: https://x.com/simonlastFull Video EpisodeTimestamps* 00:00:00 Introduction and launching Notion Custom Agents* 00:01:17 Why Notion rebuilt agents four or five times* 00:03:35 Building for where models are going, not just where they are* 00:05:32 The Agent Lab thesis, wrappers, and product intuition* 00:08:07 User journeys, leadership, and low-ego AI teams* 00:13:16 The Simon Vortex, hackathons, and bringing security in early* 00:16:39 Team structure, demos over memos, and building for agents* 00:20:25 Evals, Notion's Last Exam, and the Model Behavior Engineer role* 00:27:37 Evals as an agent harness and the changing role of software engineers* 00:30:42 The software factory: specs, verification, and agent workflows* 00:32:18 Live demo: a custom agent for coworking space applications* 00:35:08 Composing agents, manager agents, and memory as pages* 00:38:15 Notion Mail, Gmail, native integrations, and tools* 00:39:43 MCP vs CLI and the cost of capability* 00:44:13 When Notion uses MCP vs building its own integrations* 00:47:43 The history of Notion's agent harness rebuilds* 00:55:35 Power users, public tools, and the setup agent* 00:58:01 Self-fixing agents, permissions, and “flippy”* 01:01:13 Pricing, credits, and choosing the right model automatically* 01:09:01 Why Notion isn't training its own frontier model* 01:14:07 Retrieval, ranking, and search built for agents* 01:17:27 Meeting Notes as data capture and workflow automation* 01:21:18 Wearables, hardware, and Notion as the system of record* 01:23:45 OutroTranscript[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast. This is Alessio founder of Kernel Labs and I'm joined by swyx, editor of the Latent Space.[00:00:11] swyx: Hello. Hello. We're back in the beautiful studio that, uh, Alessio has set up for us with Simon and Sarah from Notion. Welcome.[00:00:18] Sarah Sachs: Thanks for having us.[00:00:19] Alessio: Thanks for having us. Yeah.[00:00:20] swyx: Congrats on the launch recently the custom agents, finally it's here. How's it feel?[00:00:26] Sarah Sachs: We ship things slowly. So it had been in Alpha for a little bit and at the point at which is it's an alpha, um, there's a group of people that are making sure it's ready for prod, and then there's a group of people working on the next thing.So sometimes some of these launches are a bit delayed satisfaction, so it's quite nice to remind yourself all the work you did because we do have a habit of like. Being two or three milestones ahead. Uh, just ‘cause you have to be, you know, you can't get complacent. Um, but it's been great that people understood how this is helpful.And I think that's just easier in general building AI tools today than it was two, three years ago. People kind of get it and so that user education, um, there's just, it was our most successful launch in terms of free trials and converting people and things like that. It was really successful, so yeah.But there's a lot to build.[00:01:12] swyx: Making it free for three months helps.[00:01:16] Sarah Sachs: Yep.[00:01:17] Simon Last: It was definitely super exciting for me because it's probably the fourth or fifth time that we rebuilt that.[00:01:22] swyx: Yes.[00:01:23] Simon Last: And I mean,[00:01:24] swyx: you've been building this since like 20, 22.[00:01:26] Simon Last: Yeah, I mean, like, it was even right when we got access to like GPT four in late 20 22, 1 of the first ideas we had is like, oh, okay, let's make an agent that I, we used the word assistant at the time, there wasn't really the word, the word agent yet, but, oh, we'll give an access to all the tools the notion can do, and then it, we run in the background like, like do work for us.And then we just tried that many times and it just. Was too early. Um,[00:01:48] swyx: I need to force you to like double click on that. What is too early? What didn't work?[00:01:52] Sarah Sachs: We were fine to, like, before function calling came out. We were trying to fine tune with the Frontier Labs and with fireworks, like a function calling model on notion functions.This is right when I joined. I joined because, um, we needed a manager as Simon was needed to be able to go on vacation. So, uh, that's, that's around when I joined, so you can speak much more to it.[00:02:11] Simon Last: Yeah, we did partnerships with both philanthropic and open AI at different times, uh, to try to, at the time the, I mean, when we first tried, there wasn't even a constant of like tools yet.We, we sort of designed our own like, like tool calling framework and then we tried to fine tune the models to, uh, to use it over multiple turns. Um, and because it, it didn't work well out the box, I think. Yeah. The models are just too dumb and the context thing was also way too short.[00:02:37] Alsesio: Yeah.[00:02:37] Simon Last: Um, and yeah, we just kind of banged our head against it for a long time.Uh, unfortunately it was always like, there was always like sort of. Glimmers that it was working, but um, it never felt quite robust enough to be like a useful, delightful thing. Um, until I would say, uh, the big unlock was probably like Sonic 3.6 or seven, uh, early last year. And that's when we started working on our agent, which we shipped last year.Um, and then, and then uh, uh, custom agents, kinda a similar capability and that, that one just took longer because we, we just wanted to get the reliability up a lot higher. ‘cause it's actually running in the background.[00:03:14] Sarah Sachs: And the product interface of like permissions and understanding, you know, this custom agent is shared in a Slack channel with X group of people and has access to documents that are surfaced to Y group of people.And the intersect experts, Y might not be whole. And so how do you build the product around making sure administrators understand that permissioning took multiple swings.[00:03:35] Alsesio: Everything is hard back at the end of the day. Yeah. I'm curious, like when the models are not working, how do you inform the product roadmap of like, okay, we should probably build, expecting the models to be better at some reasonable pace, but at the same time we need to, you know, you had a lot of customers in 2022.It's not like you were a new company or like no user base.[00:03:54] Simon Last: Yeah, I mean I think there's always the balance of, you know, like you want to be a GI pilled and thinking ahead and building for where things are going. Uh, but also you wanna be like shipping useful things. And so we always try to like, like keep a balance there.You know, we. We try to take clear, like a portfolio approach. You know, we're always working on multiple projects and, and we're always trying to work on, you know, maintaining things where that have already shipped, like, like shipping new things that are like eminently working well and make them really good.And, and then we wanna always have a few projects that are a little bit crazy. Um,[00:04:23] Alsesio: and what are the a GI peel projects that you have today? I'm curious about, uh, you don't have to share exactly what you're working on, but I'm curious what are things today that maybe in 18 months people will be like, oh, obviously this was gonna work[00:04:35] Sarah Sachs: 18 months.[00:04:37] Alsesio: Yeah, 18 months is, you know,[00:04:37] Sarah Sachs: it's a long time and Yeah. Yeah.[00:04:39] Simon Last: I mean, there's a number of things happening. I think one thing that's becoming more clear is I think like, like, uh, coding agents are the kernel of EGI, sort of, everything is a coding agent. Mm-hmm. I think that's, that's sort of one, one direction.Um, and then, yeah, the exciting thing about that is sort of your agent can sort of bootstrap its own software and capabilities and actually debug and maintain them. And so yeah, we're, we're, we're thinking a lot about that. And then, yeah, like, like another category of things that I'm, I'm really excited about is like, uh, we call the software factory also.People are using this, uh, this, this sort of word. Um, basically it just means can you create sort of like a, as automated as possible, a workflow for developing debugging. Mm-hmm. Merging, reviewing, and maintaining a code base and a service where there's a bunch of agents working together inside, and like, like how does that work?[00:05:28] Sarah Sachs: If you think back to your initial question, like, why did this take so long? I think something,[00:05:32] swyx: I didn't say that, but Yes. Okay. Go ahead.[00:05:34] Sarah Sachs: Why, what, what changed over the three and half years of trying[00:05:37] swyx: it? Exactly. Right. Because most people always say like, it didn't work yet. Then reasoning models came, then it worked.I was like, okay, let's go a little[00:05:43] Sarah Sachs: bit. That's, I mean, that's part of it, but I think the other part of it that I actually think is really what will set notion apart for every new capability is we have like. Two skills that are crucial when it comes to frontier capabilities. One is not letting yourself swim upstream.So like quickly realizing if you're just pressing against model capabilities versus not exposing the model to the right information, not having the right infrastructure set up. That and of itself is the skill of intuition. And the second is to see, okay, you're not swimming upstream. Which direction is the river flowing and what is like, how do we think ahead about the product and start building it even if it's not great yet, so that when it is there, we're ready for it.Right? And like those can sometimes feel like counterintuitive things. Like we can be trying to fine tune a tool calling model when they don't exist yet. And that the trick is to not do that for too long, but realize that there was something there. And we've had a lot of things which like, um, we're just like not swimming in the right direction with the streams.I think we had multiple versions of transcription before we got meeting notes, right? Oh, I gotta talk[00:06:39] swyx: about that. Yeah.[00:06:40] Sarah Sachs: Yeah. Um, and so. I, I, I think that like we, we really closely partner with the Frontier Labs on capabilities and we also have to have strong conviction on, as those capabilities move.Notion is about being the best place for you to collaborate and do your work. And how does that narrative change if the way that we work changes?Yeah.[00:06:58] swyx: Yeah. You told me you were a fan of the Agent Lab thesis, and this is, this is kind of it, right?[00:07:02] Sarah Sachs: Right. I show that thesis to so many candidates. Like I have it as like micro chrome autofill.Um, at this point, like it's one of my most visitations[00:07:10] swyx: because like, is this the, here's why you should work in notion and not open, open eye. I, it's like,[00:07:14] Sarah Sachs: here's, here's what's different about it.[00:07:16] swyx: Yeah.[00:07:16] Sarah Sachs: And here's why. It's not just a rapper. I actually think more and more people understand it's not just a wrapper.[00:07:21] swyx: Yeah.[00:07:22] Sarah Sachs: Um, and by the way, like in the beginning, parts of what we build are wrappers on functionality. That works well, of course, but that's not really the most, um. I would say that's not the product that, that drives revenue. And that's not necessarily always what users need.[00:07:35] swyx: I mean, you know, notion is the AWS wrapper, but like the, the wrapper is very beautiful and like very, very well polished.So[00:07:40] Sarah Sachs: like the analogy,[00:07:41] swyx: like[00:07:42] Sarah Sachs: the analogy that I've been coming back to his Datadog in AWS[00:07:45] swyx: Yeah.[00:07:46] Sarah Sachs: So, uh, Datadog could not exist with, without cloud storage. Right. That it's kind of fundamental that that works. Um, and AWS has like a CloudWatch product, but Datadog is an expert on understanding how people want observability on the products they launch.And we're experts in understanding how people wanna collaborate, and that's really where our expertise lies.[00:08:04] swyx: Totally.[00:08:04] Sarah Sachs: Um, regardless of the tools that we use,[00:08:07] Alsesio: I'm kind of curious how you think about implicit versus explicit expertise. I feel like Datadog is half and half implicit and explicit. It's like they understand across markets and industries what engineering teams usually look for.With notion, it's almost like more of the expertise is at the edge because you as a platform, you're like so horizontal that the end user is not really the same. Mm-hmm. Like with Datadog, the end user is always like, yeah, an engineering lead, a kinda like SRE related person with notion. It can be anything.So I'm curious how you put that expertise into a product versus, you know, obviously it, WS cannot build notion. It's, that doesn't quite work in this case, but[00:08:44] Simon Last: it's, it's a little bit differently shaped. I think, you know, a classic vertical SaaS, like the data is kind of like that. They understand their individual customer very deeply.It's kinda a narrow slice, um, notion has always been super horizontal. And our, our task has always been to sort of balance these two somewhat opposing forces of like, we're listening to our customers and what they want us to build. It's a broad slice. And then also we're thinking about like, okay, how do we decompose what they want into, uh, nice primitives that are, that are really nice to use and we'll, we'll get us like as much bang for the buck as possible.And then, you know. Maintain the whole system, make it all like, like super clean and nice to use.[00:09:22] Sarah Sachs: We still have user journeys. I mean, we still focus on like core. I actually think the failure of our team is when we focus too much on what are cools that are, what are tools that are[00:09:31] Simon Last: mm-hmm.[00:09:31] Sarah Sachs: Cool tools. I actually think that's when we make have the least velocity because you still need some sort of focus on a user journey.So like for instance, we'll all sit down every Friday and look at the P 99 of like the most token exhaustive custom agent transcript and just look at why it didn't do well and cut a bunch of tasks. Like we still focus on like, this has, like this should work. Email triaging should work. Mm-hmm. Right. And similarly, like when we're talking about before building, um, chatting, um, before we started filming about, okay, how can I do PDF export?Well that's functionality that then merits. Maybe we should build a tool that has access to a computer sandbox in a file system and the ability to write code. Right? Right. Um, but it's because we're thinking about the fact that our users to do their, to do their daily work, need to export PDFs, not because we're like, Hmm, I think a computer tool could be cool.Like, let's just see what happens. Mm-hmm. Like we, we have to focus on some user journeys, otherwise we just don't have like, enough strategy to, to prioritize.[00:10:29] swyx: I think there's a lot of like really strong opinions that you've had. Do you have like sort of like a towel of Sarah Sachs? Like, you know, like what, how do you run your team?Like I feel like you just have accumulated all these strong opinions. Obviously part, part of this is your, your token town thing.[00:10:43] Sarah Sachs: I think the TAs working with Service X is, um, you'd have to, it depends who you ask. Um, I think it depends if you're on my team or a partner Right. Or a vendor.[00:10:54] swyx: Yeah. There other people want to run their teams the way that you're Yeah.You're like bringing these things. And then also similarly, uh, Simon, when you did the custom agents demo, you had like, well, we've been using custom agents and here's the super long list of everything that we do. No humans ever read it. Right? That's what you said. I was like,[00:11:07] Sarah Sachs: yeah. So I think for, for me, um, something that I learned very quickly and became very comfortable with was that my job was not to be the ideas per person or the technical expert.My job was to make it so that everybody understood the objective, had a resource to help prioritize what they should work on, and had an avenue to prioritize what they thought was important. And I think that's true with all, all leadership, but I think especially on the AI team. Almost all of our best ideas come from prototypes, from people that have a cool idea because they saw a user problem, and it's a huge disservice if all of those ideas have to pass, like the sniff test of what me and a product partner or Simon and Ivan decided were the direction, right?Because a lot of what we're doing is leaning into capabilities, so. I think that's the first thing is like, I don't really view like the role of engineering leadership as like, uh, hierarchical, nor has it ever been, but especially now, like very willing to change direction based on, um, like proof is in the pudding.Yeah. And like, and I think we have rebuilt our harness three or four times. And when you do that, then the second rule of engineering leadership is like you need to build a team that's comfortable deleting their own code and is very low ego and is driven by what's best for the company. And, um, doesn't write design docs because they think it's their promotion packet.Right. And that's a culture that notion had long before I joined, but like our willingness to just swarm on different problems and um, redo things that we've built before because something has changed. Like, there's a lot of friction that can happen at companies when you do that. And it doesn't happen at Notion.And because it doesn't happen when new people join. Like they don't wanna be the ones that are saying, we shouldn't do this. I wrote that code. So then it's, you know, you, you create a culture that everyone thoughts and that culture comes directly, I think from Simon and Ivan though, um, because they're very open-minded.[00:12:50] swyx: Anything that you,[00:12:50] Simon Last: you'd add? I'm not a manager, like, like, like Sarah is. Um, a lot of my role is really to try to think a little bit ahead, make sure that we're, we're building on the right capabilities and then like the prototyping stuff. And yeah, it's really, really critical to always just be starting again.It's like, okay, this is new thing. What does this mean? What if we just rethought everything or wrote everything? And so I, I'm, I'm basically just doing that in a loop every six months.[00:13:16] swyx: Yeah. Do you believe in internal hackathons for this stuff?[00:13:19] Sarah Sachs: I think there's like two different versions. So one is like, we just have a, a, a solid bench of senior engineers that come and go on what we call the Simon Vortex and Productionizing what we built, right?Because when you're in the Simon Vortex, the velocity is super high. The direction changes daily, and it's meant to be like the equivalent of a SC Works lab. We don't need to do hackathons for that. We need to have senior engineers that we trust to come in and out of those projects. For instance, like management boundaries are really loose.Like you report to him, but you work for her right now. Yeah. That's something that when we hire managers, it's important they don't care about because we tend to form more structures. Yeah. Don't be too[00:13:54] swyx: territorial.[00:13:55] Sarah Sachs: We form more. It's after we ship things, not not before, just historically. Um, the second thing is we do have companywide hackathons.Actually we just had our demos day for the hackathon we had last week this morning. That's more for people that aren't directly working on the project, feeling like they have the time to pause and learn how to make themselves more productive or how they would use notion custom agents to build something.Or part of the hackathon was actually encouraging everyone across the company to build their own agentic tool loop, calling from scratch. Follow like an every blog post on how to do what I think because we want[00:14:26] swyx: just with the compound engineering one. Yeah.[00:14:28] Sarah Sachs: We want everyone to use cloud code in the company or whatever the coding agent they please and understand that fundamental.So we set aside a day and a half. We're all leadership, encourage everyone on their teams across the company to do it. So we have hackathons like that. I would say like kind of facetiously, like everything we build is a little bit like a hackathon until it graduates and puts on big boy pants and as a product ops rollout leader and has a assigned data scientists and stuff like that,[00:14:54] swyx: security review enterprise stuff,[00:14:56] Sarah Sachs: actually security reviews one of the things that we bring in first because it just slows us down way more and, um, causes a lot of tension and they build better product if they're involved early.So, um, that is probably the first person to get involved in something that's the[00:15:09] swyx: right PR approved answer.[00:15:10] Sarah Sachs: No, but it's not just PR approved. It like, um, um, it's[00:15:13] swyx: actually real. It's actually real. It's like, um, I'm just saying scar[00:15:15] Sarah Sachs: tissue.[00:15:15] swyx: Yeah,[00:15:16] Sarah Sachs: because like, you know, my background's also, I worked at Robinhood for a number of years.Yes. So like, uh, compliance and things like that, um, are a little bit more, you learn the hard way when it doesn't come naturally.[00:15:26] Simon Last: Yeah. I think the. The hackathon is really important for uplifting the general population, but like, if that's the only way you can build new things, you're kind of toast. I mean, it, it has to be like the daily processes, like, you know, building these new things.Um, and it has to be about, I think like, I think in the AI era a lot more leverage accumulates to the most curious and excited people. And so it's like we're all about just like activating that energy. You know, like if someone's protesting something on the weekend that they're excited about and it's important, that should be the main thing that we're doing.Yeah. Um, it's not a hackathon that we schedule once a quarter, it's just like, yeah. Daily process. Part of the culture.[00:16:02] Sarah Sachs: I mean, that's how we shift image generation and notion now. It was always this thing that would be kind of nice to have, but it wasn't really clear where that was necessarily aligned in product priorities.It'd be a lot of work. And we had someone on the database collections team, Jimmy, who was like. I really wanna do image generation for cover photos and inside notion. And we're like, if you wanna build it, like it's, do it please. Like we encourage you. We gave ‘em all the resources of working directly with Gemini and being able to like track the token usage and it working through endpoints.We gave them eval, support, everything, and then became a, a full project.[00:16:34] Alsesio: Yeah.[00:16:35] Sarah Sachs: That's why you can't have like ego as a, a leader. Like that's, that's how we work.[00:16:39] Alsesio: What's the size of the team today, both engineering and overall?[00:16:43] Sarah Sachs: I manage, uh, the team. That's what we'll call it. Core AI capabilities and infrastructure.That's about 50 people. But then we have per i partner teams that do packaging. So how it shows up in the corner chat versus custom agents versus meeting notes, that's another 30, 40 people. And, and then every team that has a product service at Notion that a user can interface with owns the tool that the agent interfaces with the editor team.The team that did CRDT for offline mode is the same team that handles how two agents, um, edit competing blocks. Mm-hmm. Right? It's the same problem. The team that built the underlying SQL engine is the same team that owns how the agent asks it to run a SQL query, and it does it performantly. And so from that regard, anyone working on product engineering is tasked with making them work for customers that are humans and agents because over time the majority of our traffic will be coming from agencies using in our interface, not humans.And so. Our objective is to make it so that the whole product org is building for agents.[00:17:40] Alsesio: Yeah. How has it changed internally? The activation bar is kind of lowered a lot. Like anybody can kind of create a prototype very, somewhat easily, especially if you're like an existing code base. Have you raised the bar on like what type of prototype people need to bring forward to gonna be taken?Not like seriously, but like, you know what I[00:17:58] Simon Last: mean? Yeah. I think the bar is lowered in many ways. Be like, one thing our, uh, our team built that is really cool is our, uh, our, our design team made a whole separate GitHub repo, uh, called the, the design Playground. And it's basically just to create a bunch of like, like helper components and you, uh, for, for quickly a throwing together UIs.And it's become like actually quite sophisticated. Like it has like an agent in there and like, uh, that's pretty fun. So like, we pretty much, like, they don't do mocks, they just make like, like full, full prototypes.[00:18:27] swyx: Here it is. It works.[00:18:28] Simon Last: They give you like a u rl. They're like, okay, all right. So we have to make the, like the real production version of that.Um, and then for engineers. A prototype looks like just making it a feature flag that actually works. Like that's sort of the bar.[00:18:39] Sarah Sachs: Something to understand that's really unique about notion. One of the reasons I joined we're super lucky is no one uses Notion in their job as much as people that work at Notion.[00:18:46] Simon Last: Of course.[00:18:47] Sarah Sachs: So I think there's very few companies, maybe if you worked on Chrome I guess, but like everything that we ship, we ship internally first and get a lot of really quick feedback. And also sometimes our dev instance is totally borked and you have to change a bunch of flags to get things done. And that's kind of like, but everyone, so people that do it ticketing, people that do supply chain procurement, recruiting, everyone is using the same instance of notion with like a lot of flags on for these prototypes people build.Um, and so we have this, Brian Levin, one of the designers on our team, I think evangelize this concept of demos over memos.[00:19:18] swyx: Ooh, too[00:19:20] Sarah Sachs: good. Um, which has been, uh, very good for building demos, and I think it's put a big pressure point on us to have really strong product conviction, because if anything can be demoed, you really need a strong filter of making sure that if you know, you're doing X amount of work, you're making the, you're, you're focusing on one tower, you're not just building a really flat hill.Right. That's actually where I think there has to be more conviction from our PMs, um, and our designers and, and well, the company really to have conviction of what journey we're going on.[00:19:52] Simon Last: But overall, I feel like it works pretty well. Like people, almost all the engineers have good enough taste to realize that like, this prototype doesn't actually make sense in the product, or, or it does.So it's not that common that I would see a prototype. It's like, oh, this makes no sense. Mm-hmm. It's like, you know, people are doing reasonable things and, and, and then it's just a matter of. Which things we build first and then often just, just figuring out how to turn it on and off. There's our, in the, in our like experimental chat ui, there's this, there's probably like, like a hundred check boxes in there.[00:20:22] Sarah Sachs: Kills me[00:20:23] Simon Last: the things you could turn on and off.[00:20:25] Sarah Sachs: Uh, but I think that, okay, so that is kind of true, Simon, but like being the person that manages the evals team, like there is a level of intensity that it adds to the platform team. So, you know, if we're gonna do image generation and notion, all of a sudden the way that we do attachments and the way that we, um, our LLM completion like cortex talks and expects tokens back and now it's getting images back.Like there's a lot of platform work that we do need to, like solidify a little bit. So sometimes it'll be in dev for a couple weeks before it makes it to prod just because we still have to like, make it robust, make it HIPAA compliant, ZDR compliant, figure out the right contracting with the vendor, whatever it is.And we need to eval it because we want the team. To still maintain what they build. That's the one thing is like if we have a bunch of prototypes, it can't just be like a small group of people that then maintain whatever end prototypes. So we have invested a lot of people in an eval and model behavior understanding teams that, we call it agent dev velocity.So your dev velocity building agents can be faster if we invest in that platform. And so we have a whole org dedicated to Asian, um, platform velocity so that you can build your own eval and then maintain it once you ship it. So if a new model release comes out and we, every[00:21:38] swyx: team maintains their own eval,[00:21:40] Sarah Sachs: we maintain the eval framework.Every team owns their own evals and a lot of them we've integrated to Optin, to ci, or we run them nightly and we have a team, uh, a custom agent that triggers to a team to look at the major failures. That's really critical because if we have like all these different surfaces now, a lot of it's on the same agent harness, so it's easier to maintain.It's just packaging of different agent harnesses, but new functionality of the agent. Let's say that like we wanna update like. Uh, you know, they deprecated, sonnet, um, four or whatever it is and we need to auto update. Are[00:22:11] swyx: they already? That's so, okay. Yeah. Actually wasn't that long ago.[00:22:14] Alsesio: Theywere[00:22:14] Alsesio: just 3.5.[00:22:15] Sarah Sachs: 3.537. Just got deprecated.[00:22:18] swyx: 3 7, 5 0.2 or, yeah. No,[00:22:20] Sarah Sachs: it's not. 5.2 is five point. Five point no. Yeah, five four is 40% more expensive than five two. So if they deprecated five two, you would hear they can, you would hear from me about that one. Um, but, uh, another conversation to have.[00:22:35] swyx: I have a cheeky evals question for you.Have you noticed any secret degradation from any of the major model providers?[00:22:40] Sarah Sachs: Secret degradation,[00:22:42] swyx: like. During the War Bay, when it's high traffic, it suddenly gets dumber.[00:22:47] Sarah Sachs: Yeah. I mean, not just between the, I mean, we definitely notice flakiness, we've definitely noticed, particularly for some providers, that things are slower during working hours and[00:22:57] swyx: there's a latency argument.Yes. Not a quality argument.[00:22:59] Sarah Sachs: No. I think the quality difference that's interesting is, um, even though companies that say they're selling the same, a, it's really into like quanti quantization, but like companies that say they're selling the same model through different vendors, whether it be through first party or Bedrock, Azure, et cetera.We do see different qualities sometimes, and that's not necessarily what's advertised.[00:23:21] swyx: Yeah. Kidney went to the point of like, if we, they shipped like this, like eval across all the providers and it was like very obvious we were secret equalizing and it was very,[00:23:28] Sarah Sachs: yeah. But[00:23:29] swyx: that's very embarrassing.[00:23:30] Sarah Sachs: You know, um, we hire Subprocess to figure that out for us.So we just wanna understand where it's regressing or where it's optimized. And sometimes we're okay with regressions that optimize latency if they're the appropriate regressions. Our job is to make sure we have the evals to understand the changes that are important to us. And even like when we're partnering with labs on pre-releasees of models, they'll send us multiple snapshots.And this is less about quantization, but more just regressions. Like they have shipped models that were not the snapshots that we wanted, and they have changed the snapshots that they shipped based on the feedback that we give. Because our feedback tends to be more enterprise work focused and not coding agent focused.And definitely those can be bummers, like, you know, uh, we know that this wasn't the version you wanted, but we'll help you make it work. I mean, we always make it work, but that definitely happens.[00:24:16] Alsesio: Yeah. Do you have, um, failing evals that you're just hoping, oh, that will have success eventually when a good model comes out?[00:24:23] Sarah Sachs: Uh, I mean, yeah. So I think. I mean, I could talk about this for 60 minutes, so I will limit myself. I think it's a real issue when people say evals and it's just like, that's quality, that's like unit, I mean, it's like saying testing. It's not just unit tests, right? So. We have the equivalent of unit test.Regression test. Those live in ci, those have to pass a certain percent, you know, within some stochastic error rate. Then we have, as you're building a product, evals of these aren't passing right now, and this is launch quality. So we have a report card and we need to, on these categories, you know, be it 80 or 90% of all of these user journeys to launch, and then what we have what we call frontier or headroom evals, where we actively wanna be at 30% pass rate.And that's actually been a effort that we took in partnership with philanthropic and OpenAI in the past maybe two or three months, because we actually hit a point where our evals were saturated and we weren't able to really give insightful feedback other than it wasn't worse. And not only is that not helpful for our partners, it's not helpful for us to understand where the stream is going.You know, going back to that analogy. And so we spent a lot of time thinking about. What notions last exam looks like, right? Mm-hmm. Not just humanities, last exam. Ooh, notions last exam. Mm-hmm. And, um, there's a lot of, you know, dreams about what that would look like. I know we've talked a lot about benchmarking, um, swix, but, uh, yeah.Notions last exam is a big thing inside the company and we have people, full-time staff to it exclusively. Mm. We have a data scientist, a model behavior engineer, and an full-time, um, evals engineer just dedicated to the evals that we pass 30% of the time.[00:25:56] swyx: What you're hiring for[00:25:57] Sarah Sachs: MBEs? I am hiring[00:25:58] swyx: What is an MBEA[00:25:59] Sarah Sachs: model?Behavior Engineer Model. Behavior engineers started with a title data specialist before I joined when they were working with Simon on like, uh, Google Sheets and like Simon just needed someone to look through Google Sheets and say, yes, no, this looks bad. This looks good. Right? And so we hired people with kind of diverse linguistics background.We had like a linguistics PhD dropout. Mm-hmm. And a Stanford ate new grad. And they're amazing. And they formed a new function basically. And over time we've built a whole team, um, with a manager who's now kind of reinventing what that role is with coding agents. So they used to be kind of manually inspecting code.Now they're primarily building agents that can write evals for themselves or LLM judges. There's a really funny day I can send you the picture where Simon, about a year and a half ago, was teaching them how to use GitHub. Um, and they're on the whiteboard and it was like, okay, I think it would be so much faster if our data specialists learned how to use GitHub and like learned how to commit these things in Dakota.And, and that was then and now I think, you know, coding has been a lot more accessible. Um, but moving forward it's this mix of like data scientist PM and prompt engineer because there's craft in understanding like even like what models can and can't do things. How do we define like that headroom? How do we define like what a good journey is?Um, is this model better or not? Why is this failing? There's some qualitative work, but then there's also like a lot of instinct and taste to it, and that's not necessarily software engineering. And so we have like very firm conviction and we have had for a number of years now that that is its own career path and we have always welcomed the misfits, so to speak.So we really firmly believe that you don't need an engineering background to be the best at this job. And that's what's quite unique about this particular role.[00:27:37] Simon Last: Yeah, this is something that I've been pretty excited about recently is we made an effort basically to treat the eval system as like an agent harness.So if you think about it, like, you know, you should be able to have an agent end-to-end, download a dataset, run an eval, iterate on a failure, debug, and, and then implement a fix. And ultimately you should be able to, you know, drive the full time process with a human sort of observing the, you know, the outer uh, system.So yeah, we went, went pretty hard on that. And that's, that's worked extremely well so far. It's like basically just to turn it into a coding agent, uh, uh, problem.[00:28:11] swyx: Your coding agent or just whatever[00:28:13] Simon Last: harness No coding agent. Yeah, code, cloud code. It should be totally general. Yeah. I think if it would be a mistake to like, like fix it on any, any particular coding agent.At the end of the day, it's just like CLI tools.[00:28:21] Sarah Sachs: It's like the same way that you would've a coding agent write the unit test. You should have a coding agent write the eval.[00:28:26] swyx: Yeah.[00:28:26] Sarah Sachs: But there's a lot of supervision in that still. We just don't believe that supervision has to come from software engineers because a lot of it is like, um, kind of you XREE and whatever, and these are the people that also triage failures and tell us where we should be investing next.[00:28:40] swyx: Yeah. I'm gonna go ahead and ask a spicy question. Is there a data, there are no software engineers at Notion.[00:28:46] Simon Last: Um,[00:28:46] Sarah Sachs: what does it mean to be a software engineer?[00:28:47] swyx: Exactly.[00:28:48] Simon Last: I mean, I think the way things are going is like we're on some continuum where. If, if you look back three years ago, humans were typing all the code and then we had auto complete, you're typing list of the code.Then we had sort of like filling agents, filling lines, and now we're getting into like agents doing longer range tasks where you can debug and implement a fix and then verify it works and you know, get your, get your PR even like, like Merion deployed. I think we're sort of just moving up the abstraction ladder and then the human role becomes more about observing and maintaining the outer system.There's a string of agents flowing through, like me prs what's going off the rails. Like what do I need to approve? Is there like a learning or memory mechanism that that works? So it's kind of a hard engineering problem. There's a, you know, there's, there's a lot to do there. I think we're just sort of moving up stack[00:29:34] Sarah Sachs: the same transition machine learning engineers have made, right?Like I haven't looked at a PR curve in a while.[00:29:39] swyx: Yeah. You used to do this stuff and now, um, auto research can do it,[00:29:42] Sarah Sachs: right? Like I think it depends on what you define as a software engineer.[00:29:46] swyx: Yes. It's, that's changing for sure.[00:29:49] Sarah Sachs: I think every software engineer in notion this summer went through like this, um, sheer, um, one of our engineering leads of the company called it, like every software engineer is going through the, the, uh, identity crisis that every manager goes through, where all of a sudden they realize their ability to write code is less important than their ability to delegate in context switch.And I think that is a transition out of being a software engineer. But[00:30:12] Simon Last: yeah. Yeah, there's a critical difference to being a manager, which is that like, it is actually very deeply technical. The problem, you know, humans are very like, like, like fuzzy and you can't like treat a team of humans like a, like a rigorous system where like, you know, prs like, like flow through and can be in like a block status and then what happens when they're blocked, right.With a set of agents, you actually can do that. And, and, and I think it's actually, there's a lot of interesting technical rigor that that goes into that it's like it's a technical design problem. Ultimately.[00:30:42] Alsesio: What is the design of the software factory that you're building?[00:30:46] Simon Last: Yeah, I mean, I think we're. Trying a lot of different things.I mean, ultimately you want to design a system that requires as little human intervention as possible, but like still maintaining the in variance that, that you care about. So yeah, we're exploring a lot different ideas there. I mean, I think I could talk about a few things I think are important there.Like, one thing I think is really important is, um, having some kind of like specification layer you can just commit marked on files. Mm-hmm. That works pretty well, but[00:31:15] swyx: it's nice to be notion man. I'm just saying like the spec, like Yeah. The natural home for specs is notion.[00:31:21] Simon Last: Yeah. Right. It can be a database of pages.Yeah. I mean, it needs to be something that is, you know, human readable and I viewable and I think that's pretty key. Another really key component is like the, the self verification loop. Yes. You need really, really good testing layers, basically. And that's a really deep, uh, uh, problem. But by getting that right, you know, and then, and then it's kinda like the workflow of like.What happens when there's a bug? How does it flow into the system? Like, is it like a subagent working on it? How does it make a PR and how does that get reviewed? And me, and then, you know, so there's like the, the flow or process.[00:31:56] swyx: Yeah. Cool. Uh, you know, one thing we did work out before you guys came in was this demo or this[00:32:01] Simon Last: agents[00:32:02] swyx: agent demo.Uh,[00:32:03] Simon Last: so every,[00:32:04] Alsesio: every time we do an episode, we try the product. Right. I don't think there's ever been an episode that I haven't tried. Yeah. Um,[00:32:11] swyx: and we, we try, try is a, a big word. Like since day one lane space has been on Notion, but this is the, this is the net new thing. Yes.[00:32:18] Alsesio: So this is for Nel Labs, which is the space we're in.So next week we're opening applications for tenants. So there's a web form, let me, we got this form done here. Uh, so, uh, before. Uh, the workflow would be I get an email, then I look at the person. It was like, should I spend time talking to this person? Then I respond, they respond back. So I build this. So the name it came up for on its own.Can you maybe h how do, how does it come up with its own name?[00:32:43] Simon Last: Yeah, that's a pretty app name. It's, it, it is just a random, it's a random, a name generator.[00:32:47] Alsesio: Oh, that's funny. It just came,[00:32:49] Simon Last: the fact that it picked that is, is kind of hilarious. I'm pretty sure it's just determined,[00:32:54] Sarah Sachs: resilient collector. I, I think I've never looked at the code for that.I've never second guessed it. I think it's kind of like a madlib situation.[00:33:00] Simon Last: Yeah, I think you're right. Yeah. It's, it's totally a, a deterministic. Oh, I thought it was great. Yes. Although, although when the, if you use the AI to set itself up, it can update its own name, so. Okay. Um,[00:33:11] Sarah Sachs: how did you create it? It, did you just do[00:33:12] Alsesio: classroom?I,[00:33:13] Sarah Sachs: okay.[00:33:13] Alsesio: I did, yeah. I'll say just check my inbox for applications for a coworking space. Keep a people, so it created the database for me. Which I have here. And I guess database is like an notion table because everything is notion. Um, and then whenever um, an email comes in, like here, it just creates a new role for the person.Mm-hmm. And then it uses web search to enrich the mm-hmm. The profile. So it kind of like searches the web and it's like, this is who this person is, this is when they say they wanna move in and kind of updates everything else. This is, I mean, it's not a GI, but to me, I don't wanna do this work. So it feels like, I mean, it took me maybe like 15 minutes to set up the whole thing.Um, and I really like that most of the information should live here. You know, it is not like some other tool asking me[00:34:01] Sarah Sachs: Yeah.[00:34:01] Alsesio: To like, bring my stuff there. It's like I would've probably already created an ocean thing.[00:34:06] Sarah Sachs: Mm-hmm.[00:34:06] Alsesio: So[00:34:07] Sarah Sachs: most of our biggest use cases and gains are from. That extra layer of human involvement in the process to make it so right.And so like one of our biggest use cases is bug triaging. So if someone posts something in Slack, can you just have a custom agent that lives there that has its own routing constitution of what team this belongs to, creates a task in your task database and then posts in that Slack channel, right? Like that's like one of the first things that we built internally, I think.And it's completely changed the way that notion functions as a company. Nothing falls through, well, most things don't fall through the crack. We don't know what we don't know. But it's not replacing people, it's replacing processes.[00:34:44] Alsesio: Yeah.[00:34:44] Sarah Sachs: Right.[00:34:45] Alsesio: And I'm curious how you think about composability of these things.So the other one I was working on is like a. These filler. So whenever somebody signs up as a tenant, kind of he'll sell the lease for them. There should probably some agent that is like office manager agent mm-hmm. That can handle the request, make the lease, and then, uh, give them a ADA access to the office and all of that.How do you think about that feature?[00:35:08] Simon Last: Yeah, so I mean, there's, there's two ways you can compose. One way is by using like the data primitives. So you can, you know, you, you could give, you have one agent, uh, be writing to the database and there's another agent that's walked in the database. So that's, that's one way that they, they can coordinate that's like a little bit more decoupled and mm-hmm.Works really well. Or you, you can couple them. So I, I think it's actually not released yet. Releasing it like next week is, uh, in the settings for an agent, you can give access to invoke any other agent.[00:35:34] swyx: Hmm.[00:35:34] Simon Last: So you can have them just. Just, uh, uh, talk directly. So[00:35:37] swyx: you, was there a limit on like, number of recursions or just,[00:35:40] Simon Last: um, probably,[00:35:42] swyx: you know what I mean?Like, you can just get an infinite loop that way there's[00:35:45] Simon Last: some kind of Yeah,[00:35:46] Sarah Sachs: I think it's, there is actually a number somewhere.[00:35:49] swyx: I believe I'm just, you know, like, you're, you're, someone's gonna screw up. You[00:35:51] Simon Last: should you try to see[00:35:53] swyx: Yeah. I mean, everything's gonna be paperclips.[00:35:55] Simon Last: Oh, yeah. Yeah. But, uh, but, but that's really useful.Yeah. So we, you know, like I just, I, I helped, uh, someone internally the other day, they had, they had built like over 30 custom agents for, uh, for our go to market team doing all kinds of different things. You know, for example, like researching, you know, like, like filling information about, about a customer or like, like triaging customer feedback or like, uh, something like that.Literally over 30 of them. And, and then he, and then he even made like a database of all the agents and then he is like, okay, and, and now I'm getting 70, over 70 notifications per day with just the agents are blocked on various things. Uh, and then I was like, oh, okay, cool. You know, the obvious thing to do there is to make a manager agent,[00:36:32] Sarah Sachs: right?[00:36:33] Simon Last: That's gonna sort of blocks be another abstraction layer in between your, your, uh, uh, 30 agents. Uh, so yeah, we, we send out with like a manager agent and then has access to invoke all the other agents and it's sort of like, like watching and observing them and then it sort of, it just creates a layer of abstraction.So instead of 70 notifications per day, it's like, like five. And then, and then the manager agent can help like, uh, debug and fix any problems with the,[00:36:54] swyx: does this is a concept of like an inbox or something like piece, you're basically saying that they can message each other?[00:37:00] Simon Last: Yeah.[00:37:01] Sarah Sachs: Well[00:37:01] swyx: they use the system of record, which, which is[00:37:02] Sarah Sachs: notion, so we[00:37:03] Simon Last: actually, yeah, we didn't make any special concepts at all.[00:37:06] swyx: They're interested to the motion notifications that I would've got,[00:37:09] Sarah Sachs: they can just like write a task to a database that the other agent's task to listening to, or they can actually call a web book to the agent, like they can just add the agent. Okay.[00:37:17] Simon Last: Yeah, I mean, this is something that, that we're still working on.I, I think we, you know, like, like generally, generally the way we do these things is, you know, you first make it possible, maybe like a sort of janky way. So I, I, I think the way I set ‘em up is like, you know, we created like a new database that was sort of like issues mm-hmm. That the custom agents were, were experiencing, and then gave them all access to file an issue and then the manager has access to, to read the issues.Um, and that works pretty well, essentially like, like give it its own like internal issue tracker just for the agents. And then, you know, if that becomes a, a concept that seems useful, generally maybe we will think of how to package it in. But I mean, generally we try to just keep it to composing the primitive if we can.You know, another example of this is we have no built-in memory concept. Memory is, is just pages and databases. And so if you wanna give a memory, just give it a page and give it. Edit access to that page and the[00:38:03] swyx: human can edit it. Agent can edit[00:38:04] Simon Last: it. Yeah. And so that works, that pattern works extremely well on it.And you know, depending this case, you can have it be just a page or it could be an entire database with, you know, or, you know, I can have sub pages is is pretty on what you can do with that.[00:38:15] Alsesio: So when I was setting this up, uh, I connected my inbox and it was like, do you wanna use Gmail or Notion Mail? And I'm like, I don't wanna use Eater, I just want you to do it.I'm curious how you think about, you know, notion, mail, notion, calendar, all of these kind of ui ux interfaces, full stack[00:38:29] Simon Last: notion.[00:38:30] Alsesio: Yeah. When like at the same time you have the agents abstracting them away from you in a way, you know, how do you spend like the product calories so to speak?[00:38:37] Simon Last: Yeah, I mean, I think it's pretty important that you don't have to use, not your mail to connect to the mail capability.So we can just connect to Gmail or, or whatever you want, uh, to use. And we're thinking of the mail service as being really great to the extent that it's really agent built, right? So maybe the mail app is just sort of a prepackaged agent that helps you automate your, your inbox.[00:39:00] Alsesio: Yeah, the auto labeling is great.Think[00:39:03] Sarah Sachs: the, when we, um, integrate with Gmail for instance, we have a series of tools available that are available via MCP or API to Gmail. When we integrate with Notion Mail, we have the Notion Mail engineering team to build us the, um, exact right tools that optimize latency, optimize performance and quality.They own that quality. Um, there's product leads there. They're directly thinking about the user problems that happen in mail. So it tends to be when we build integrations and connections, we build natively first. Um, and then think about, um, extending them generally just because it's also easier. Mm-hmm. Um, um, to build natively first.Um, so that tends to be how we phase things out.[00:39:43] swyx: Talking about integrations, you prompted me, so I gotta ask. M-C-P-C-L-I. What's going on? What's the[00:39:48] Simon Last: Yeah. Opinion. I think, I mean, I'm, I'm definitely bullish and excited about cli. I think there's a few really cool things about cli. So one really cool thing is like, um, is that it's in the terminal environment, so it gets a bunch of extra power.So it, you know, for example, it can like, like paginating and cursor through like long outputs. Um, and it has a progressive disclosure inherently. Uh, so, you know, you don't see all the tools at once. It's just, you see the CLI wrapper and you can like use the, the help commands and, and, and read files. And then I think the most important thing that's, that's super cool is that there, it's also inherently a, a bootstrapped.So if there's an issue, uh, the agent can debug and fix itself within the same environment that it uses the tool.[00:40:30] swyx: Mm.[00:40:30] Simon Last: Right. Like, you know, I think I saw a tweet this morning. Someone said, you know, my agent didn't have a browser, so I asked it to make all a browser tool and within a hundred lines of code, it gave itself a little browser, like, like wrapping the, the, the chromium API, um.That's pretty incredible. And then if there was a bug, it would just immediately try to fix it. Mm-hmm. Right. On the other hand, if you use an, you know, if you use like of, of the Chrome dev tools, MCP, I've had this issue where like, like sometimes the transport gets like messed up. If it gets messed up, the agent has no way to fix itself.It, it no longer has a browser, it's, it's not broken. Right. I think that's, that's pretty fundamental, but I would say like a lot of the, the bad things about it can be fixed. Uh, so I think like, as a progressive disclosure, that can be fixed with, with right harness. Like, it, it obviously doesn't make sense to show it all the tools all the time.That's not really inherent to the MCP protocol. It's just like how you wrap it and use it.[00:41:16] swyx: There's many poorly built MCPs because we didn't know.[00:41:19] Simon Last: Yeah, yeah. I mean it was just early, like, like the obvious thing is, uh, you know, to start with is, is to just show it all the tools and it's like, okay, now we have a hundred tools.Yeah. And like the tool calling actually works. So let's of[00:41:28] swyx: your success[00:41:29] Simon Last: give it a way to like, like filter to source the tools. So yeah, I would say like broadly speaking, I'm really bullish on cli. I'm still bullish on CPS and in a certain environment. I think in, in particular, CP is really great for when you want sort of like a narrow, lightweight agent.I think there's, there's definitely a lot of use cases where, where you don't want like a full coding agent with a compute run time. And also you want it to be like more tightly permissioned. MCP inherently has a really strong permission model, like all you can do is call the tools. A CLI is a little bit murkier.It's like, can I access the, if PI token are you, like, properly sort of like re-encrypt the token so it can't like exfiltrate it, it introduce a lot of like, like new issues, which are. Real and hard to solve. And MCP is just like the dumb simple thing that works and it that it's pretty good.[00:42:12] Sarah Sachs: I'll add two more perspectives, not from it working well for Notion, but how notion like commits to both platforms.Notion is dedicated to being the best system of record for where people do their enterprise work. So we will always support our MCP and so far as other people are using cps, right? So regardless of our perspective, we've put a lot of effort into our MCP and we have a fantastic team that we're building, um, to do more there.And the second thing I'll say, I think, um, we all think a lot, but lately I've been thinking a lot about making sure there's a value alignment and pricing, um, with capability.[00:42:43] swyx: Literally our next question[00:42:44] Sarah Sachs: and. Needing language to execute deterministic tasks feels wasteful and requiring on a language model to interface with third party providers seems wasteful for tasks that don't require it.And particularly because our custom agents are using usage-based pricing. We think of pricing as like the barrier of entry for use of our product, and we're quite committed to making sure that it's not wasteful. Um, not just because it's a bad deal for our customers, but it's also bad business. We wanna have as many buyers, like there's a, there's an elasticity of demand and so if we can have our agents properly execute code that calls on CLI deterministically, it's a one-time cost, right?Versus constantly having a language model integrate with an MCP over and over and over and paying those like repeated token fees and it's happening outside the cash window, then you're paying for it over and over and over and it's just kind of unnecessary and less deterministic when it doesn't have to be.[00:43:36] Alessio: Yeah, the open-endedness I think is like, the main thing is like, well, if I go write code to just call an API, I would never use an MCP. But then you need an NCP sometimes when you know what to call, but you don't want it to restart versus like, I think the it built a browser from scratch is like, it's great when you're doing it on your own, but like if your customers were having your AI write a browser from scratch every time and you had to pay the token cost of that, yeah.You'd be like, no, no. The Chrome dev tools CP is actually pretty great. Just use that. I'm curious, how do you make that decision? Like should it be. Just straight API call very narrow. Should it be an MCP? Should it be super open-ended?[00:44:10] Sarah Sachs: Do you mean for when we ship notion capabilities or when we add capabilities to[00:44:13] Alessio: notion[00:44:14] Sarah Sachs: AI or,[00:44:14] Alessio: I mean, you might have a capability that the only way to do is an open-ended agent, like an agent with a coding sandbox.[00:44:21] Sarah Sachs: Yeah. In Notion ai they're not explicit, not We also ship an MCP.[00:44:24] Alsesio: Yeah. Yeah. In B,[00:44:25] Sarah Sachs: yeah.[00:44:26] Alsesio: Internally. Okay. Like is there ever a discussion of like, we're not gonna ship it because we're not able to tie it down? Or are you happy to just like,[00:44:33] Sarah Sachs: um, no. I mean, there are a lot of things where we choose not to use MCP because we wanna add more high touch to quality.I think search an agent to find is like the largest instance of that, where we have. Um, slack and linear and Jira search and notion that is not using necessarily the search MCP functionality that is provided by those companies. And that's because it's quite critical we think, to how our agent trajectories work is for us to have a little bit more control on the functionality of the search journey.And so it usually comes from quality and there's a long tail of things and that's why we built an MCP client or an MCP server, excuse me, so that people can connect whatever they want. There's that long tail, right. But we, for search particularly, I would say that's like the primary entry point, but there are other connections as well that it's a little bit of secret sauce a

In this episode, the speaker reframes longevity as an ongoing skill set shaped by consistent daily behaviors rather than one-time solutions. The discussion emphasizes a proactive, data-informed approach to health, encouraging individuals to track patterns such as energy, recovery, sleep, and nutrition to better understand how their bodies respond over time. Rather than focusing on perfection or quick fixes, the conversation highlights the value of gradual improvement, adaptability, and long-term habit formation. Key themes include the role of lifestyle foundations like movement, nutrition, sleep, and stress management, as well as the use of tools such as wearables and lab testing to monitor trends. Overall, the episode promotes a systems-based perspective on well-being, where small, consistent actions compound to support performance and quality of life over time.RESOURCES:Book Comprehensive Labs: https://agelessfuture.com/longevity-labs/FREE copy of The Peptide Blueprint: https://agelessfuture.com/blueprintSign up for future Health Accelerator Challenges calls LIVE! https://us02web.zoom.us/webinar/register/WN_YZsiUMOzSyqcE8IinC5YEQ#/registrationBooks: https://www.amazon.com/Books-Regan-Archibald/s?rh=n%3A283155%2Cp_27%3ARegan%2BArchibaldArticles: https://medium.com/search?q=Regan+ArchibaldLIKE/FOLLOW/SUBSCRIBE:YouTube -https://www.youtube.com/@ReganArchibald / https://www.youtube.com/@Ageless.FutureLinkedIn: https://www.linkedin.com/in/regan-archibald-ab70b813Instagram: https://www.instagram.com/ageless.future/Facebook: https://www.facebook.com/AgelessFutureHealth/DISCLAIMER: This video is for educational purposes only and does not provide medical advice, diagnosis, or treatment.  Many of the molecules discussed in this video are research compounds and are not approved by the U.S. Food and Drug Administration (FDA) for any specific medical use, indication, or condition. They are mentioned only in the context of existing scientific literature and ongoing research and are not being recommended, prescribed, sold, or offered through this video.  This content does not endorse or recommend any specific tests, products, procedures, or treatment protocols.References to our clinic are for general educational context only; investigational or non‑approved products are not available for direct ordering or prescribing based solely on viewing this content.  Do not start, stop, or change any medication, peptide, or supplement based on this video. All medical decisions must be made with a licensed prescribing clinician after a proper evaluation. No provider–patient relationship is created by viewing this content or contacting our clinic.  Regan Archibald is a Licensed Acupuncturist and longevity coach. He is not a medical doctor. Cade Archibald is COO and Co-Founder of Ageless Future, also not a medical doctor. All medical decisions, lab ordering, and prescribing in our clinic are performed only by our licensed medical team (MD, APRN, PA).  Viewers should follow the guidance of their own licensed clinicians and local health authorities regarding diagnosis and treatment decisions.

Have you ever stepped on a scale and questioned whether the numbers truly reflect what is happening inside your body? In this episode, Dr. Gillian Lockitch speaks with nutrition expert Cheryl McColgan to unpack the confusion around body composition data, wearable devices, and the science behind tracking your health as you age. Together, they explore how to interpret trends rather than obsess over absolute numbers, and how lifestyle habits like sleep, stress management, and nutrition influence the data we see. This conversation empowers listeners to use technology wisely while focusing on the foundational habits that support vibrant, healthy aging. Cheryl McColgan is an author, coach, and the founder of Heal Nourish Grow, a wellness platform focused on nutrition, metabolic health, and sustainable lifestyle practices. With over 25 years of experience in psychology, addiction studies, fitness, yoga, and nutrition, Cheryl brings a multidisciplinary approach to health optimization. She is also the host of the Heal Nourish Grow podcast and has authored multiple books on keto nutrition and fat loss. At age 52, she became a competitive bodybuilder, demonstrating her commitment to strength, longevity, and aging powerfully.  Episode Timeline: 00:00 – Welcome and introduction  00:30 – A personal story of unexplained weight gain  Dr. Gillian shares her experience with atrial fibrillation, weight gain, and confusion over body composition data  06:35 – Cheryl's journey into health, nutrition, and bodybuilding  From early exposure to fitness to becoming a competitor in her 50s  10:48 – Can we trust wearable and scale data?  Why body composition devices vary and how to approach their accuracy  12:27 – The problem with body fat readings  Why scales may underestimate fat and how algorithms affect results  16:08 – Hydration, inflammation, and measurement variability  How fluid shifts, illness, and exercise impact bioimpedance readings  18:46 – Daily vs weekly tracking  Why trends over time matter more than isolated measurements  21:38 – How wearables measure stress, sleep, and recovery  Understanding HRV, skin signals, and algorithm-driven insights  24:16 – Are we becoming obsessed with health data?  Balancing measurement with mindset and wellbeing  29:04 – The most important habits for healthy aging  Sleep, stress management, and aligning exercise with life demands  31:32 – Rethinking productivity and rest  The importance of giving yourself permission to recover  33:18 – Keto, metabolic health, and personalized nutrition  Cheryl's journey from vegetarian to keto and evolving dietary flexibility  36:58 – Final reflections and practical takeaways  Using tools wisely while focusing on foundational health behaviors  Call to Action: Download Guide to nature's Colourful Antioxidants Find "Growing Older Living Younger: The Science of Aging Gracefully and the Art of Retiring Comfortably" at www.gillianlockitch.com  (N.America only)  Subscribe to Growing Older Living Younger on your favorite podcast platform and leave a 5 star review to help others discover the show.   Join the Growing Older Living Younger Community  Connect with Dr. Gillian Lockitch at https://www.askdrgill.com/ or email: askdrgill@gmail.com to book a one-on-one call.  Learn more about Cheryl's work at https://healnourishgrow.com Instagram: https://instagram.com/healnourishgrow Twitter: https://twitter.com/healnourishgrow Pinterest: https://pinterest.com/healnourishgrow YouTube: https://youtube.com/healnourishgrow Facebook: https://facebook.com/healnourishgrow    

How AI Could Strengthen the Doctor-Patient Relationship: Dr. Ashwin Vasan, Senior Fellow in Health Policy and Global Affairs at Yale School of Public Health and Affiliate Faculty at Yale Jackson School of Global Affairs “Ultimately, AI needs to be a tool that doesn't break down trust or empathy or clinical judgment, but rather helps enhance those things.” That aspirational perspective from Dr. Ashwin Vasan, Senior Fellow in Health Policy and Global Affairs at the Yale School of Public Health and Affiliate Faculty at the Yale Jackson School of Global Affairs, frames a nuanced conversation about one of healthcare's most consequential changes. Drawing on his experience as New York City Health Commissioner during the COVID-19 crisis and decades in global and public health, Dr. Vasan argues that the future of AI in medicine should be shaped less by the technology itself than by the values guiding its implementation, and that physicians need to play an active role in this process. “I think it behooves us to engage with this technology and steer it in the directions that we want as a society.” This timely discussion also offers Dr. Vasan's thoughtful perspectives on: How AI could allow physicians to focus on the human side of care; The risks of AI reinforcing inequities and driving costs higher; Public health as the marriage of science, society and trust. Join host Lindsey Smith for a valuable Raise the Line episode on how AI can be harnessed to benefit patients and provides alike.  Mentioned in this episode: Yale School of Public Health Yale Jackson School of Public Affairs If you like this podcast, please share it on your social channels. You can also subscribe to the series and check out all of our episodes at www.osmosis.org/podcast

Discover how WHOOP is building an AI-powered health data infrastructure that is redefining how we understand human health. Emily Capodilupo, Senior Vice President of Research, Algorithms, and Data at WHOOP, explains how continuous physiological data is uncovering new opportunities in predictive health through AI, from presymptomatic disease detection to biological age scoring. She examines the governance challenges of deploying AI in a regulated environment and what it takes to build the data trust required to make it work at scale. Key Moments: How WHOOP Built Its AI and Data Foundation (00:57): Emily explains how WHOOP's early focus on elite athlete performance shaped the data collection rigor and multidisciplinary science organization that now powers its predictive health capabilities. She outlines the model she built across AI, machine learning, clinical research, and digital signal processing, and why starting with the highest-demand use case created a data foundation built to scale. The Power of Continuous Data (06:21): Emily draws on WHOOP's sleep research to show how continuous physiological data reveals patterns that would be invisible without longitudinal tracking. She shares findings linking sleep architecture to metabolic disease, cancer risk, and cognitive decline, illustrating why the depth and continuity of a data set determine what insights are actually possible. The Data Governance Challenge of Acting on Sensitive Data (13:17): Emily shares how WHOOP's respiratory rate data could detect COVID infection up to three days before symptom onset in over 80% of cases, but a denied FDA application left the company holding actionable insights it was legally prohibited from sharing. She examines the governance tension that emerges when your data capabilities move faster than the regulatory frameworks designed to govern them. Turning Complex Multi-Signal Data Into a Single Actionable Metric (27:32): Emily introduces WHOOP's Healthspan feature, which translates physiological and behavioral data across nine components into a single biological age score tied to all-cause mortality risk. She explains why distilling complex data into one number is more motivating than presenting raw risk statistics, pointing to research that shows how age-based framing drives stronger behavior change. Building Data Trust and Privacy Infrastructure at Scale (31:40): As WHOOP moves into FDA-cleared products and more sensitive data collection, Emily outlines the governance principles that underpin member trust. She argues that for any organization building on sensitive personal data, the asymmetry between earning trust and losing it should be a foundational design constraint. Key Quotes: "It takes 13 years to earn the trust and one mistake to lose it. And that kind of asymmetry is constantly top of mind." - Emily Capodilupo "We were able to show that we could detect COVID up to three days before symptom onset in over 80% of cases." - Emily Capodilupo “ WHOOP has been collecting data [for] over 12 years. We're working on a lot of new types of algorithms that are able to help people understand their bodies in ways that we might not have appreciated…even just a couple years ago.” - Emily Capodilupo "One of the ways that AI has advanced the product... is this ability to chat with WHOOP in natural language, the way you might chat to a doctor or a trainer or a coach." - Emily Capodilupo Mentions Harvard Study | Analyzing changes in respiratory rate to predict the risk of COVID-19 infection  Cornell Study Uses WHOOP Sleep Data to Monitor Patients at Risk for Alzheimer's Can Data Help Us Sleep Better? | WHOOP There's More to Sleep than Sleep Need: The Importance of Sleep Consistency | WHOOP Cribsheet & Expecting Better 2 Books Collection Set By Emily Oster  The Family Firm: A Data-Driven Guide to Better Decision Making in the Early School Years By Emily Oster  Guest Bio  Emily Capodilupo is an award-winning AI and research leader with more than 13 years of experience building and scaling science-driven organizations in fast-paced startup environments. She began her career as an emergency medical technician before studying neurobiology and human sleep at Harvard University and conducting research at Brigham and Women's Hospital. Emily is driven by a passion for using data to solve hard problems and advance our understanding of human physiology. Along the way, she "accidentally" became a data scientist, recognizing that the biggest breakthroughs in health require not just rigorous science, but big data and bold technology.  As WHOOP's first employee, Emily founded and now leads the company's science organization, pioneering a new model of health that begins long before diagnosable illness and is continuous, personalized, AI-powered, and designed to empower individuals to take the driver's seat in their own well-being. She has built and scaled multidisciplinary teams across artificial intelligence, machine learning, digital signal processing, clinical research, and engineering to translate real-time physiological data into actionable insights that improve performance, resilience, and long-term health. Emily's work sits at the intersection of wearable technology, digital biomarkers, and predictive health, helping shift healthcare from reactive treatment to proactive optimization. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

We start this one where we always do — just talking. Paul's been dealing with some gastritis stuff, there's a caffeine situation, and somehow we end up in a whole conversation about cultural identity and name pronunciation. You know how it goes.Then we get into something I've been wanting to dig into for a while: heart rate variability. HRV gets thrown around a lot in the health and fitness world, but most people either don't fully understand it or they're obsessing over daily numbers instead of looking at the bigger picture. We break down what HRV actually is, what it's measuring, and why it matters as a reflection of your autonomic nervous system — not just as a fitness metric.We get honest about wearables too. Are they even accurate? (Spoiler: most of them aren't great.) We talk about which devices actually give you reliable readings, why body position and timing matter more than you think, and how to use this data to make real lifestyle changes instead of just feeling anxious about a number on your wrist.The second half gets into the stuff that actually moves the needle on your HRV — sleep quality, alcohol, circadian rhythm, and stress management. We talk about meditation, breathwork, journaling, and why being proactive about stress beats being reactive every single time. And we end up in a conversation that felt really real to me: the difference between creating from a place of love versus creating from fear and scarcity — and how that shows up in your health, your habits, and your life.

On this episode of In Pursuit with Rich Froning, the crew sit down with Jake Currei, CEO of Qalo, to talk fitness, technology, and what it really means to stay ready. Jake shares his journey from CrossFit coach to tech entrepreneur and how QALO is evolving from durable silicone rings into wearable health technology.They break down key metrics like sleep, heart rate variability, stress, and recovery — and why tracking them can help everyday people make smarter decisions about training, nutrition, and long-term health. The conversation also explores how small insights can drive meaningful habit changes and even reveal hidden issues before they become real problems.If you want a practical look at using data to perform better in the gym, in the backcountry, and in life, this episode delivers. Connect with Rich Froning MeatEater on Instagram, Facebook, Twitter, Youtube, and Youtube Clips Subscribe to The MeatEater Podcast Network on YouTubeSee omnystudio.com/listener for privacy information.

Metabolic Health, Advanced Lipidology, and Preventing ASCVDLevel up your primary prevention game. Learn when ApoB, Lp(a), and CAC actually change management, how to spot cardiometabolic risk before diabetes declares itself, and how to make smarter lipid decisions beyond the standard panel. We're joined by Dr. Greg Katz, cardiologist and prevention expert at NYU Langone Health.Claim CME for this episode at curbsiders.vcuhealth.org!Patreon | Episodes | Subscribe | Spotify | YouTube | Newsletter | Contact | Swag! | CMEShow Segments Intro Primary Prevention & Metabolic Syndrome (Case 1) Beyond the Standard Lipid Panel When to Order ApoB How Lp(a) Changes Management (Case 2) Using CAC/CCTA in the Gray Zone Recognizing Early Cardiometabolic Risk CGMs, Wearables, and Signal vs Noise (Case 3) How to Talk to Patients About Risk Take-Home Points CreditsWritten and produced by Paul Wurtz MD. Show notes, cover art, and infographic also created by Paul Wurtz MD. Hosts: Matthew Watto MD, FACP; Paul Williams MD, FACP    Reviewer: Sai S Achi MD, MBA, FACP Showrunners: Matthew Watto MD, FACP; Paul Williams MD, FACP Technical Production: PodPaste Guest: Greg Katz MD DisclosuresDr. Katz reports no relevant financial disclosures. The Curbsiders report no relevant financial disclosures. Sponsor: DeleteMeGet 20% off your DeleteMe plan when you go to joindeleteme.com/CURB and use promocode CURB at checkout.Sponsor: Panacea Legal Visit Panacea.Legal  and use code CURB20 for 20% off contract review services.Sponsor: FIGSWe've teamed up with FIGS, and now Curbsiders listeners can get 15% off. Just go to WearFIGS.com and use code FIGSRX. Sponsor: Continuing Education CompanyFor Curbsiders listeners, there's a special offer: use promo code Curb30 for 30% off all online courses and webcasts. Visit CMEmeeting.org/curbsiders to learn more.  

Dr. Tony Wyss-Coray, PhD, is a professor of neurology at Stanford School of Medicine who is discovering factors present in young blood and in exercised blood that can improve brain, heart and other organ health. We discuss how different organs age at different rates and how to accurately measure biological aging. We also discuss the specific proteins found in blood when we are young and that are increased by things such as exercise, sunlight exposure, short-term fasting, specific foods and social connection that can significantly increase vitality, restore youthful functioning of the brain and body and potentially increase lifespan. Read the episode show notes at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman David: https://davidprotein.com/huberman LMNT: https://drinklmnt.com/huberman ROKA: https://roka.com/huberman Function: https://functionhealth.com/huberman Timestamps (00:00:00) Tony Wyss-Coray (00:03:00) Young vs Old Animals, Age-Related Disease (00:06:35) Blood Biomarkers, Young vs Old Humans, Alzheimer's Disease (00:12:50) Sponsors: David & LMNT (00:15:28) 'Young Blood' Factors, Rejuvenation, Stem Cells (00:20:15) Blood Banking; Dracula (00:23:10) Rates of Aging in Organs, Age Gap & Disease Risk; Risk Profiles & Therapies (00:33:02) NAD Levels & Aging, NMN Supplements (00:36:44) Vitality vs Longevity; Periods of Accelerated Aging (00:43:17) Sponsors: AG1 & Roka (00:45:22) Sunlight; Youthful Blood Factors, Exercise & Brain Function, Fasting (00:51:25) Exercise, Injury & Inflammation (00:56:18) Pro-health Factors, Klotho, GDF11, Stem Cell Injection Risk (01:02:35) Platelet-Rich Plasma (PRP); Exosomes (01:05:43) Smoking, EMFs, Plastics, Long-Term Accumulation, Fresh Foods, Organic Food (01:11:28) Sponsor: Function (01:13:16) Intermittent Fasting, Long-Term Fasting, Snacking (01:19:07) Sleep; Cerebrospinal Fluid (CSF) Factors & Cognitive Function (01:24:44) Exercise Type & Longevity; Exercise Enjoyment (01:32:02) Lifestyle Factors & Alzheimer's Risk; Cognitive Exercise; Chocolate (01:37:05) Alcohol & Social Connection; US vs European Food Culture (01:40:50) Deliberate Deep Breathing; Wearables, Sunlight & Artificial Light (01:49:13) Future Projects (01:56:40) Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices