Podcasts about Labs

For most of the past century, more women than men have died from cardiovascular disease. Yet, heart disease is still widely perceived as a male problem.  That's why in this episode, we dive into why cardiovascular and metabolic health are essential for women, especially in midlife, and why education is your greatest tool.  You'll gain the confidence to advocate for yourself and make informed decisions about your long-term health. I'll also be sharing my favorite simple habits to kickstart your metabolism, protect your heart, and boost your everyday energy.  Remember, it never has to be perfect—consistency builds momentum, and that's where real change begins.  Tune in here to gain key insight and prioritize yourself and your longevity! IN THIS EPISODE Recognizing the warning signs of cardiovascular disease  Labs and markers you should be asking your physician for  Why lifestyle medicine matters SO much in midlife  How to build metabolically healthy plates for each meal Setting simple movement goals for optimal heart health The massive benefits of sleep, mindfulness, and breath work Supplements to support your cardiovascular and metabolic health The pros of appropriately timed hormone replacement therapy  QUOTES “Heart disease kills more women than all cancers combined. Not breast cancer, not ovarian cancer. All cancers combined. And what's even more alarming for most women, the warning signs begin years- sometimes decades- before a heart attack or stroke ever happens.”  “Research shows that insulin resistance is a primary driver of cardio metabolic disease in women, especially after menopause.” “You do not need perfection. You need 7,000 steps per day, walking after meals, fewer long sitting stretches. Get up and move your butt, even if it means walking around your house or going around the block. Start building your life around movement. This is one of the most powerful yet underestimated tools for heart health and for your resilience.” RESOURCES MENTIONED Order my new book: The Perimenopause Revolution https://peri-revolution.com/ Order your Berkeley Life Nitric Oxide Support Supplement https://berkeleylife.pxf.io/Vxvdja RELATED EPISODES  716: Midlife, Hormones & Heart Health: The Critical Connection You're Not Hearing About with Cathy Eason 711: Estrogen, Inflammation, and Your Heart Health: What Every Woman Needs to Know with Dr. Sanjay Bhojraj 690: The Perimenopause Revolution: Why midlife isn't the end — it's the beginning of your most energized, powerful, and vibrant self 686: Your Second Puberty Explained: What's Really Happening to Your Body in Perimenopause

This episode explores the critical importance of women's PPE safety and how properly fitting gear transforms workplace safety for women in the trades. It covers the risks of ill-fitting PPE, the true costs to organizations, and practical strategies to select and implement tailored safety solutions. Listeners will learn how to foster a safety culture that supports women and the future trends shaping women's workwear safety. Read the full shownotes at: https://thesafetygeek.com/139  Links Mentioned:Red Wing Shoes Time Stamps00:00 Why Women's PPE Fit Is a Safety Issue (Not Style)01:48 Meet Tito Warren & Why This Topic Matters03:06 Tito's Global Safety Journey: Building Standards from the Ground Up04:36 Women Entering the Trades Worldwide: What Tito Sees Internationally07:32 The ‘Shrink It and Pink It' Era—and Why It Had to End08:43 Designing PPE ‘For Her': How Red Wing Builds Fit the Right Way10:19 Real-World Risks of Ill-Fitting PPE: Boots, Gloves, and Snag Hazards14:56 The Business Case: Cost, Comfort, Productivity, and Compliance20:46 Safety Culture Wins: Companies That Invest in the Best Gear22:47 Getting Leadership Buy-In: Red Wing as a Partner, Not Just a Vendor24:05 Leverage Suppliers as Safety Partners (Standards, Labs & Credibility)26:06 Building a Safety Culture in Any Industry (Oil & Gas Lessons)27:45 Align PPE to Hazard Assessments: Fit, Form, Function28:55 The Future of PPE: Everyday Wear, More Comfort, More Compliance33:11 Stop Buying Cheap PPE: Value, Risk, and Making Educated Choices36:24 Fit Matters: Get Properly Fitted & Test PPE Before the Jobsite39:31 Footwear as a Foundation: Long-Term Body Health & Injury Prevention41:34 Respect & Inclusion: Why Women's PPE Matters for Morale and Safety42:45 Final Wrap-Up: How to Connect with Red Wing & Partner Up Thank you for taking the time to listen to this episode. If you liked it, be sure to share it with your best safety friend. It's a goal of The Safety Geek to elevate the role of the safety manager, and that is why I share tips and resources on how you can manage your safety program more effectively. Visit the website at https://TheSafetyGeek.com Subscribe to the YouTube Channel at https://www.youtube.com/c/safetygeek Sign up for the Safety Leadership Newsletter, where I share exclusive tips, content, forms, and templates at https://TheSafetyGeek.com/Newsletter Follow me @ Facebook: https://www.facebook.com/TheSafetyGeek LinkedIn: https://www.linkedin.com/in/brye-sargent/ Instagram: https://www.instagram.com/safety_brye/ Pinterest: https://www.pinterest.com/thesafetygeek/

He's back.One of our all-time favourite guests Fred MacAulay returns to Oh My Dog with a full Labrador update - including heat cycles, frisky sleepovers and why puppies are best rehomed before they grow needle teeth.Plus:

In this episode, agronomist consultant Bill McKibben of Logan Labs talks a little bit about the services they offer to small farms.   Subscribe for more content on sustainable farming, market farming tips, and business insights!   Get market farming tools, seeds, and supplies at Modern Grower. Follow Modern Grower:  Instagram  Instagram Listen to other podcasts on the Modern Grower Podcast Network:  Carrot Cashflow  Farm Small Farm Smart  Farm Small Farm Smart Daily  The Growing Microgreens Podcast  The Urban Farmer Podcast  The Rookie Farmer Podcast  In Search of Soil Podcast Check out Diego's books:  Sell Everything You Grow on Amazon   Ready Farmer One on Amazon **** Modern Grower and Diego Footer participate in the Amazon Services LLC. Associates Program, an affiliate advertising program designed to provide a means for sites to earn advertising fees by advertising and linking to Amazon.com.

Send a textInvest in pre-IPO stocks with AG Dillon & Co. Contact aaron.dillon@agdillon.com to learn more. Financial advisors only. www.agdillon.com00:00 - Intro00:02 - AG Dillon Funds closing on Mar 31, 202600:51 - OpenAI Financials $280B revenue target meets $665B cost wall03:58 - OpenAI “buys” OpenClaw, Steinberger joins OpenAI04:42 - OpenAI Series C aims to shatter records at $850B post money05:41 - OpenAI and Tata bet on India with a 100 MW to 1 GW buildout path06:29 - Grafana's $9B round talks ride a $400M ARR wave07:23 - World Labs lands Autodesk and targets a rumored $5B valuation08:18 - Temporal wants to be the load bearing layer for agent execution09:31 - Mesh Optical's $50M Series A targets the chokepoint inside AI data centers10:43 - Render's $1.5B valuation is a bet that AI apps need a new runtime11:40 - Stash acquired by Grab for $425M13:06 - Physical Superintelligence pitches a physics breakthrough factory with a 20 person team14:07 - Figma plugs Claude Code into design and risks losing the workflow15:00 - Anthropic ships Sonnet 4.6 just 12 days after Opus 4.615:26 - Stripe's Bridge wins OCC trust charter signal as stablecoin scrutiny rises16:37 - Cohere puts 70 plus languages on device with a 3.35B parameter model17:53 - ElevenLabs turns agent risk into an insurable product at $12.2B secondary19:05 - Mistral buys Koyeb and adds 16 engineers to harden its compute stack

CONNECT TO LYNNE: Website: https://qgrit.org/X: https://x.com/haggerman91741Rumble: https://rumble.com/c/TheLynneScottHag...X: https://x.com/haggerman91741Watch Lynne on Imagination podcast:    • S5E87 | Lynne Scott Haggerman - Sex Traffi...  Lynne's life is a testament to the unyielding strength of the human spirit. As a survivor of profound trauma, she has transformed unimaginable hardship into a powerful mission to uplift others, advocate for justice, and shine a light on the darkest corners of human experience. Her journey from surviving CA to becoming a voice for healing and empowerment is both heart-rending and inspiring, offering hope to countless others who seek to reclaim their lives. Born into a world that would test her resilience from an early age, Lynne endured harrowing experiences as a young child. These traumatic events, which she has bravely shared through platforms like podcasts and interviews, occurred in environments that should have been safe, including underground settings tied to institutions of power. Yet, even in the face of such darkness, Lynne's spirit refused to be broken. Her survival is a powerful reminder that courage can emerge from the deepest pain, and her story is one of triumph over adversity.Lynne's path to healing was neither linear nor easy. Confronting fragmented memories of her early years required immense bravery and spiritual fortitude. She drew strength from a deep well of resilience, piecing together her past to reclaim her narrative. This process of self-discovery transformed her pain into purpose, as she emerged not only as a survivor but as a thriver - a woman determined to help others navigate their own journeys of recovery. Her candid discussions about her experiences, shared through platforms like The Lynne Scott Hagerman Show on Rumble, reveal a woman who refuses to be silenced, using her voice to advocate for the vulnerable.Watch MK ULTRA TUNNELS SURVIVOR - Annalie    • MK ULTRA TUNNELS SURVIVOR - Annalie Cummin...  Watch MK ULTRA HORROR STORY - CATHY O'BRIEN https://youtube.com/live/PffqezE32HUShaun Attwood's social media:TikTok:   / shaunattwood1  Instagram: https://www.instagram.com/shaunattwoo...Twitter:   / shaunattwood  Facebook:   / shaunattwood1  Patreon:   / shaunattwood  Odysee: https://odysee.com/@ShaunAttwood:a#podcast #truecrime #news #usa #cia #survival #politics #royalfamily #royal

In this episode of The Birth Lounge Podcast, HeHe welcomes Kara, a Mother-Baby Nurse and mom of three, to walk through what actually happens after you leave labor and delivery and transition to postpartum care. From fundal checks and C-section vitals to newborn screenings, pain management, lactation support, and discharge, this episode gives you clarity without overwhelm. This episode is detailed, practical, and empowering. Postpartum in the hospital doesn't have to feel chaotic when you understand what's routine, what's optional, and where your voice matters most. 00:00 Speak Up in the Hospital: You Can Say No (Advocacy Mindset) 01:05 Listener Story: Holding Firm Against 39-Week Induction Pressure 03:56 How to Use the Birth Lounge App to Back Up Your Choices 06:10 Maternity Leave Update + Why This Episode Is a Re-Air 07:50 Postpartum in the Hospital: What We'll Cover (Tests, Checks, Taboo Topics) 09:08 Meet Kara the Baby Nurse: Mother-Baby RN + Mom of Three 10:40 The Postpartum Unit Reality Check: It's More Than ‘Rest and Discharge' 12:10 Transition from L&D to Postpartum: Bedside Report + LDRP vs Separate Units 15:25 First 4 Hours Post-Birth: Fundal Checks, Vitals, Safety Paperwork, Goals 18:27 Getting Up After Birth: Movement, Gas Pain, and C-Section Recovery 20:47 If You Decline Fundal Checks: Bleeding & Clot Warning Signs to Watch 23:19 Postpartum Pain Management: Meds, Non-Pharm Options, and Speaking Up 27:35 Who's Coming in Your Room: Rounds, Labs, Screens, and the DND Sign 35:09 Baby's Pediatrician Exam: Nursery vs In-Room, No-Separation Rights 39:40 Newborn Head-to-Toe Exam & Routine Postpartum Checks 40:26 Newborn Screening Labs: PKU Heel Prick, Bilirubin, Car Seat & Hearing 42:46 Sponsor Break: Lalo Registry Must-Haves (Travel High Chair + Play Kit) 45:55 Bilirubin & Jaundice: What the Numbers Mean + Phototherapy Options 48:05 Newborn Hearing Screen: How It Works & What a “Fail” Usually Means 50:28 Newborn Meds/Vaccines in Postpartum: Vit K, Erythromycin, Hep B Timing 51:45 Breastfeeding Support in the Hospital: Nurse Training, Latch Help & Pumps 55:43 Baby Weight Loss & When to Supplement (Pumping, Donor Milk, Formula) 58:24 Circumcision 101: Procedure, Pain Control, Aftercare & Red Flags 01:03:40 Advocating for Yourself: Communication, Boundaries & Requesting a New Nurse 01:07:08 The Postpartum Poop: Why Staff Ask, What Helps, When to Call Your Doctor 01:11:26 Wrap-Up: Kara's Book & Sleep Course + Where to Follow Guest Bio: Kara is a mother-baby, hospital based nurse with 3 kids of her own. Her passion is educating and empowering people through her social media pages. She shares nurse tips and mom tricks, author of the book Why Didn't I Learn all this Parent Stuff Sooner?, and creator of a tried and true baby sleep course. You can find her @karathrbabynurse on YouTube, TikTok, Facebook, and Instagram!   Connect with Kara here: https://karathebabynurse.com/link-in-bio/   Check out Kara's sleep course here: https://kara-s-site-b397.thinkific.com/courses/karathebabynurse   Snag her book here: https://www.amazon.com/dp/B0BBSH4Q9Z/ref=sr_1_6?crid=2GWZSFDOW1WFP&keywords=kara+thompson&qid=1661365188&sprefix=kara+thompson%2Caps%2C83&sr=8-6   SOCIAL MEDIA: Connect with HeHe on Instagram: https://www.instagram.com/tranquilitybyhehe/  Connect with Kara on IG: https://www.instagram.com/karathebabynurse/ BIRTH EDUCATION: Learn how to stay in control of your birth and reduce the risk of unnecessary interventions in our Avoid a C-Section Webinar. HeHe breaks down the cascade of interventions, explains what's really happening in the hospital, and shares practical strategies to protect your birth plan, advocate for yourself, and navigate labor with confidence. Perfect for anyone who wants a positive, informed hospital birth experience: https://www.thebirthlounge.com/csection Feeling nervous about speaking up in labor? Our Scripts for Advocacy give you the exact words to handle the most common conversations that can make or break your birth experience. From declining unnecessary interventions to asking the right questions about procedures, these scripts empower you to stay in control, speak confidently, and protect your birth plan — even when the pressure is on. Think of it as your personal toolkit for advocating like a pro, so you can focus on your baby, not the stress: https://www.thebirthlounge.com/Scripts-for-Advocacy And if you haven't grabbed it yet… Snag my free Pitocin Guide to understand the risks, benefits, and red flags your provider may not be telling you about, so you can make informed, powerful decisions in labor: https://www.thebirthlounge.com/pitocin Join The Birth Lounge for judgment-free, evidence-based childbirth education from HeHe that shows you exactly how to navigate hospital policies, avoid unnecessary interventions, and have a trauma-free labor experience, all while feeling wildly supported every step of the way: https://www.thebirthlounge.com/ Want prep delivered straight to your phone? Download The Birth Lounge App for bite-sized birth and postpartum tools you can use anytime, anywhere: https://www.thebirthlounge.com/app-download-page LINKS MENTIONED: Lalo Beautiful, minimalist baby gear that actually works for real life. From their travel-friendly Hook-On High Chair to their durable, design-forward Play Kit, Lalo creates pieces that grow with your family and look good doing it. Head to https://www.meetlalo.com/ and use code HEHE to save.  

Xsight Labs talks their latest SDN X2 network switch and E1 DPU chips with the GreyBeards

A new investigative report reveals known Chinese Communist Party members and military-linked researchers working inside sensitive U.S. university programs tied to defense research, AI, nuclear science, and drone warfare. In this interview, I speak with Tom Jones of the American Accountability Foundation about how visa programs, academic partnerships, and research funding are likely enabling technology transfer to China — often openly and legally. We discuss the national security implications policymakers aren't addressing. This isn't cyber-espionage. According to the report, it's happening through the front door with our suicidal visa policies. Despite the obvious national security threat, federal agencies and state-level flagship universities continue to fund labs run by foreign nationals developing drone swarm software, nuclear engineering, and AI capabilities that directly benefit the People's Liberation Army. Learn more about your ad choices. Visit megaphone.fm/adchoices

There's a particular kind of clarity you get when you talk to someone who spends their days breaking into things for a living. Not with malice — with purpose. John Steigerwald, known to most in the industry simply as "Stigs," co-founded White Knight Labs in 2016 with a mission that sounds almost disarmingly simple: build the best penetration testing team anyone has ever seen, and actually deliver results. Nearly a decade later, the company has grown to 40 people, gone international, and is busier than ever. The question worth asking is: why?The uncomfortable answer, according to Stigs, is that the fundamental problems haven't changed. At all."Honestly, it's still 2015," he said during our most recent conversation on ITSPmagazine's Brand Story series. Not as a metaphor. As a diagnosis. The same misconfigurations, the same weak identity policies, the same unlocked back doors that red teamers were exploiting a decade ago are still wide open today. The apps built in a COVID-era frenzy — pushed out fast, tested never — are now running critical business infrastructure. And the organizations using them are only finding out when something breaks.What's changed is the surface area. Cloud, AI, Microsoft 365, vibe-coded production apps — each new layer of technology gets adopted at speed, and each one arrives carrying the same original sin: no one turned on the basics. Stigs used Microsoft 365 as a pointed example. Millions of businesses are running on it with DMARC turned off, default configurations untouched, Copilot layered on top, and not a single CIS Benchmark policy applied. "Every client is vulnerable," he said. "Not just 10% of clients. Every client."That's a striking statement. It's also, if you've been paying attention to breach headlines, not a surprising one.The AI angle adds a new and almost darkly comedic wrinkle. Vibe coding — the practice of using AI tools like Cursor or Claude to generate production-ready code at speed — has given entry-level developers intermediate-level output. Which sounds great, until you realize that the AI models many of them leaned on were trained on outdated, sometimes vulnerable data. Stigs described visiting multiple clients with nearly identical security weaknesses, all tracing back to the same ChatGPT-generated setup instructions. "You and your neighbor did the same thing," he told one client. That's not just a funny anecdote. It's a warning about what happens when an entire industry bootstraps its infrastructure from the same flawed source.And yet, Stigs isn't anti-AI. He uses it every day. He just sees it with the clarity of someone who also finds the holes it leaves behind. His prediction for the near future: a massive wave of secure code review requests, as companies start reckoning with the vibe-coded backlog they've been quietly accumulating. AppSec is about to have a very good year.Looking forward, White Knight Labs is watching the growing intersection of private sector expertise and government infrastructure testing with particular interest. Critical infrastructure in America, long overdue for rigorous physical and embedded testing, is starting to receive that attention. Stigs and his team are already in the room.What makes White Knight Labs different isn't just technical skill — it's the ability to communicate what they find in language that actually lands. In an industry full of reports that gather dust, that matters. The best penetration test in the world is useless if no one acts on it.The door is open. It's been open for years. The question is who you call to finally lock it.To learn more about White Knight Labs, visit their website or reach out directly. Listen to the full conversation on ITSPmagazine.GUESTJohn StigerwaltFounder at White Knight Labs | Red Team Operations Leaderhttps://www.linkedin.com/in/john-stigerwalt-90a9b4110/RESOURCESWhite Knight Labs:  https://whiteknightlabs.com_____________________________________________________________Are you interested in telling your story?▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

When a large corporate carwash breaks ground nearby, many independent operators panic — but they shouldn't. In this PC&D Executive Spotlight, host Brian Ankney sits down with Tara Baugher of Ver-tech Labs to explain why local carwash owners still have the upper hand. From protecting membership counts to leveraging community connections, Tara shares practical, boots-on-the-ground strategies that help independent operators compete — and win — against larger chains.

Dr. Jennifer Perusini, CEO and Founder of Neurovation Labs, is developing a precision medicine platform to create targeted therapeutics and diagnostic tools that treat specific brain regions to address central nervous system diseases. For the treatment of PTSD, the approach focuses on the overactive amygdala due to dysregulated glutamate signaling. This objective, brain-based approach of treating a discrete part of the brain rather than the whole brain moves mental health treatment beyond the current one-size-fits-all approach, reducing side effects and improving outcomes. Jennifer explains, "What we are doing is really taking an objective, precision approach to treating mental health disorders, something like an oncology model. So what we really care about is that mental health disorders and psychiatric disorders are rooted in brain dysfunction, yes, but critically that dysfunction occurs in very discreet brain regions and circuits, not necessarily uniformly across the entire brain. So we have really developed a platform designed to identify compounds with dual potential. Precision therapeutics that act on specific brain regions, as well as diagnostic imaging agents that can reveal receptor-level dysfunction and circuit activity in the brain. And so our lead asset and main indication right now is for PTSD, post-traumatic stress disorder." "I think that academics like to focus on this research in very specific brain regions, but that therapeutic angle really hasn't caught up yet. And so, really more specifically, what we're doing is focusing on a very particular signal, an excitatory neurotransmitter in the brain called glutamate, which is a key regulator of neural activity and cell firing. And so there are many disorders, including PTSD, that are affected by dysregulated glutamate signaling. However, the glutamate drugs that are on the market today really bind to the whole brain. So that's just something that hasn't caught up yet, and that's what we're trying to do." #NeurovationLabs #PrecisionMedicine #PTSD #Neuroscience #MentalHealthInnovation #Biomarkers #DrugDiscovery #Glutamate #BrainHealth #DigitalHealth #HealthTech NeurovationLabs.com Listen to the podcast here

Dr. Jennifer Perusini, CEO and Founder of Neurovation Labs, is developing a precision medicine platform to create targeted therapeutics and diagnostic tools that treat specific brain regions to address central nervous system diseases. For the treatment of PTSD, the approach focuses on the overactive amygdala due to dysregulated glutamate signaling. This objective, brain-based approach of treating a discrete part of the brain rather than the whole brain moves mental health treatment beyond the current one-size-fits-all approach, reducing side effects and improving outcomes. Jennifer explains, "What we are doing is really taking an objective, precision approach to treating mental health disorders, something like an oncology model. So what we really care about is that mental health disorders and psychiatric disorders are rooted in brain dysfunction, yes, but critically that dysfunction occurs in very discreet brain regions and circuits, not necessarily uniformly across the entire brain. So we have really developed a platform designed to identify compounds with dual potential. Precision therapeutics that act on specific brain regions, as well as diagnostic imaging agents that can reveal receptor-level dysfunction and circuit activity in the brain. And so our lead asset and main indication right now is for PTSD, post-traumatic stress disorder." "I think that academics like to focus on this research in very specific brain regions, but that therapeutic angle really hasn't caught up yet. And so, really more specifically, what we're doing is focusing on a very particular signal, an excitatory neurotransmitter in the brain called glutamate, which is a key regulator of neural activity and cell firing. And so there are many disorders, including PTSD, that are affected by dysregulated glutamate signaling. However, the glutamate drugs that are on the market today really bind to the whole brain. So that's just something that hasn't caught up yet, and that's what we're trying to do." #NeurovationLabs #PrecisionMedicine #PTSD #Neuroscience #MentalHealthInnovation #Biomarkers #DrugDiscovery #Glutamate #BrainHealth #DigitalHealth #HealthTech NeurovationLabs.com Download the transcript here

Stani Kulechov unpacks Aave Labs' “Aave Will Win” proposal, explaining why the company wants the DAO to have power over its finances. Thank you to our sponsors! Adaptive Security Aave Labs has proposed a “Aave Will Win” framework that will direct all revenue to the DAO to bring the protocol under “a token-centric model.” In this episode, Aave founder Stani Kulechov explains why Aave Labs is putting its funding at the mercy of the DAO and how the framework could drive DeFi innovation. Plus wen Aave v4? And is Aave Labs' requested budget too much? Guest: Stani Kulechov, Founder of Aave Labs Previous appearances on Unchained: Why Aave's Founder Is 'More Bullish on Ethereum Than Anything Else' Why the Founders of Aave and Sky Are Still Bullish on Ethereum DeFi Satoshi, Shorter Blocks, & Secret Plot - The Chopping Block Stani Kulechov on Why Aave Is So Successful - Ep.212 Links: Unchained: Aave Revenue Overhaul Sparks Governance Clash Aave Labs Proposes Off-Protocol Revenue Sharing With Token Holders The Chopping Block: Aave Civil War + Flow Hack + Coinbase Super-App Aave's Rushed Governance Vote Draws Backlash How Aave Labs and the DAO Should Split Ownership of the Brand – Uneasy Money Uneasy Money: Why Token Holders Have No Rights & Why Every DAO ‘Has Failed' ‘Poison Pill' Proposal Calls for Aave DAO to Take Over Aave Labs AAVE Holders Question if DAO Quietly Redirected Revenue Away From Treasury Learn more about your ad choices. Visit megaphone.fm/adchoices

Lila Ibrahim is the COO of Google DeepMind. James Manyika is the senior Vice President for Research, Technology, and Society at Google. The two join Big Technology Podcast to discuss how Google's AI effort operates and runs experiments. In this conversation, we discuss the fundamental operating structure of DeepMind, how Google proper has become more experimental with the revival of Labs and other programs, and how the company is thinking about AI and education. We also cover weather and flood prediction at global scale, and training AI in space. Hit play for a deep inside look at the mechanics behind Google's AI research machine and the big ideas it's betting on next. Take back your personal data with Incogni! Go to incogni.com/bigtechpod and Use code bigtechpod at checkout, our code will get you 60% off on annual plans. Go check it out! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, I sit down with Dr. Tex VerMilyea, Vice President of Scientific Advancement for US Fertility and Ovation IVF Laboratories, to explore how artificial intelligence is revolutionizing IVF labs and embryology. Dr. VerMilyea brings a unique perspective shaped by his journey from animal science and bovine embryology to becoming a leader in human IVF research and innovation. His work spans molecular embryology, epigenetics, and now the implementation of cutting-edge AI technologies across a nationwide network of fertility centers. This conversation offers a rare behind-the-scenes look at the technology that's shaping the future of fertility care. Read the full show notes on Dr. Aimee's website. We dive deep into the practical applications of AI in embryology: from embryo and sperm selection to pregnancy prediction and laboratory workflow optimization. Dr. VerMilyea explains how AI is making embryo assessment more objective and accurate, how robotics will improve lab efficiency and access to care, and why the human touch will always remain essential in the art of embryology. We also discuss what patients should know about how labs balance success rates with safety, the future of non-invasive embryo selection, and what IVF laboratories might look like in five to ten years. In this episode, we cover: How AI is currently being used globally for embryo selection and why FDA approval is still pending in the United States The potential for AI to predict pregnancy outcomes and reduce time to pregnancy through data-driven treatment decisions How robotics and automation will help IVF labs serve more patients while maintaining quality and reducing human error The role of non-invasive technologies in improving patient engagement and experience throughout the IVF journey Why selective single embryo transfer has become the standard of care and how technology supports safer outcomes What embryologists wish patients understood about the IVF lab and the expertise behind embryo development The future of IVF labs, including mobile clinics, at-home monitoring, and the evolving role of embryologists Resources: Dr. Tex VerMilyea on LinkedIn https://www.linkedin.com/in/tex-vermilyea-phd/ US Fertility Research Page https://www.usfertility.com/ Ovation Fertility https://www.ovationfertility.com/ Would you like to ask Dr. Aimee your personal IVF questions? Click here to join Dr. Aimee for The IVF Class. The next live class call is on Monday, March 9th, 2026 at 4pm PST, where Dr. Aimee will explain IVF and there will be time to ask her your questions live on Zoom.   Dr. Aimee Eyvazzadeh is one of America's most well known fertility doctors. Her success rate at baby-making is what gives future parents hope when all hope is lost. She pioneered the TUSHY Method and BALLS Method to decrease your time to pregnancy. Learn more about the TUSHY Method and find a wealth of fertility resources at www.draimee.org  where you can schedule a consultation. More ways to connect with Dr. Aimee: Subscribe to my YouTube channel for more fertility tips! Subscribe to the newsletter to get updatesFollow on Instagram   Keywords: AI in IVF, artificial intelligence embryology, embryo selection technology, IVF lab innovation, Dr. Tex VerMilyea, US Fertility, Ovation IVF, robotics in fertility, pregnancy prediction AI, non-invasive embryo assessment, PGT alternatives, time-lapse embryology, single embryo transfer, IVF lab automation, embryologist training, fertility technology, IVF success rates, embryo grading, sperm selection AI, patient engagement IVF, future of fertility treatment, microfluidics IVF, data analytics fertility, embryology workflow, fertility access, reproductive technology

Regan Archibald welcomes the audience and shares updates from recent travel before outlining how his “Ageless Future operating system” uses lab data to guide a more intentional health strategy. He emphasizes starting with clarity about goals and symptoms, then looking for patterns and trends across markers rather than relying only on standard reference ranges or single numbers. He discusses examples of deeper testing beyond common basics, the value of tracking data over time, and the importance of viewing markers in context—such as sleep, stress, nutrition, and training—so decisions are based on a fuller picture. He also highlights how inflammation and hormone-related markers can be considered as part of an integrated review, and closes by encouraging viewers to stay current with labs and contact the office or website to get testing scheduled if it's been more than six months.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.

Breakthrough treatments for high blood pressure, HIV infection and obesity: they're all available in part because of studies done on animals. And though the Animal Welfare Act has for many years regulated the treatment of lab animals, more than 95% of those used in research today are excluded from its protections. Larry Carbone is a veterinarian who's spent decades caring for animals in research facilities. We talk to him about the value and ethics of animal research and what he thinks needs to change. His new book is “The Hidden Lives of Lab Animals.” Guests: Larry Carbone, laboratory veterinarian; author, "The Hidden Lives of Lab Animals: A Vet's Vision for a More Humane Future" Learn more about your ad choices. Visit megaphone.fm/adchoices

With February being heart health month you may be thinking more about your specific signs or symptoms you may have been feeling. Here's the truth about the heart... Heart‑related symptoms often show up vaguely at first. Subtle palpitations during a meeting or increased heartrate at night when the house finally goes quiet and you are laying down trying to fall asleep. So you do what you know to do... make an appointment and share your concerns. Tests come back normal. Labs look fine. Yet the symptoms remain. This disconnect leaves many high‑achieving women anxious, confused, and questioning their body. From a holistic functional perspective, this is rarely a true heart failure issue...it's a stress‑driven physiology issue. Your stress may not be going away any time soon but you can help your body adapt better to the stress you are living through.  Stress is the root cause of your heart giving you the symptoms and signs it is giving you. Subtly at first and then more often as your body ramps up communication... aka starts yelling at you.  Bottom line, your body needs to feel safe to heal and recover especially from stress related fatigue conditions.  I pray this episode blesses you! XO, Michelle   Stop pushing through exhaustion and restore your energy, calm your body and clear your mind... naturally.  Book your  Fatigue Freedom Breakthrough Call today! OR Join MidLIFE Health RESTORE! MidLIFE Health RESTORE is where high-achieving Christian women RESTORE their health with ONE wellness focus at a time.   Have questions as you listen? Reach out at michelle@treasuredwellness.com  ***Join our community, RESTORE Energy after 40, to be supported, encouraged and educated as you take back your health WITH God at the center **Catch the Treasured Wellness Podcast on https://christianmix106.com/   AND YouTube   ***DISCLAIMER: By listening to this podcast, you agree not to use this podcast as medical advice to treat any medical condition in either yourself or others. Contact your own physician for any medical concerns you have. This entire disclaimer also applies to any guests or contributors to the podcast. Under no circumstances shall Treasured Wellness, LLC, guests or contributors be responsible for damages arising from the use of this podcast.  

As property management faces rapid technological disruption, what happens to the businesses that refuse to adapt… or the ones that go all-in on AI and eliminate the human element entirely?  In this episode of the #DoorGrowShow, Jason and Sarah Hull sit down with Joe Oliveri in Brisbane, Australia to unpack the accelerating AI revolution and what it means for the future of property management. With over 30 years in the industry and 16 years as an international real estate business coach, Joe shares why he believes the next three years will determine which companies survive, and which disappear.  They explore the shift from traditional property manager roles to data-driven client relationship managers, how AI can transform processes like lease renewals, the risks of deepfakes and security threats, and why the winning formula will be a strategic blend of technology and human connection.   You'll Learn (00:00) Introduction to AI in Property Management  (00:40) The Evolution of Property Management  (01:58) The Impact of AI on Property Management  (05:35) Integrating AI with Human Interaction  (10:30) AI's Role in Tenant Management  (14:17) The Need for Verification in AI  (16:30) The Future of AI in Property Management  (21:44) Consequences of Ignoring AI  (25:43) Finding Balance: AI and Human Roles Growth  Quotables "If this industry does not change and truly understand AI, we're going to be irrelevant." "Three years is all we've got to make the changes."  "AI isn't something that they can go back to their office and say, we're going to build this AI. Let the experts do it." Resources DoorGrow and Scale Mastermind DoorGrow Academy DoorGrow on YouTube DoorGrowClub DoorGrowLive Transcript Jason Hull (00:00) that companies will need to be able to make to keep up and really frankly, survive. It's recording.   We can time up. Shifts in layout. Let's count. All right. You think it's going to work there or should we hold that? Well, we'll probably have to do this. All right. Cool. No introduction. Well, no. Just do it. I'm saying not the full intro that you normally do the way you read the entire thing. Just do a quick. You're not going to have all that when we're going to send it. OK. Do an intro, but you're not going to do the normal intro. All right.   Put those somewhere. Hang them on your shirt or do something. Okay. That's very Brisbane. Well you have to fit in. When in Brisbane, do like Brisbane. Right, so we are... It wasn't pretty. Okay. Five, four, three, two... If you can see the camera, it can see you.   Can you see the camera? can. You don't... can. Okay. Alright, you ready? Five, four, three, two, one. Alright, so I'm Jason Hull. This is Sarah Hull with DoorGrow and we are Hangout with Joe Oliveri. And we're in Brisbane. Brizzy. Brizzy, yeah. And you can't see but we're overlooking the beautiful city and the river right now.   And what is this, a wine room? Yeah, this is our wine cellar. Private wine cellar. Private wine cellar. Okay. And so we're going to be chatting today about AI, the future, and how that's going to impact and affect property management. So, Jill, why don't you give people a little bit of background on yourself and who you are and how you got into property management.   Yeah well that's a long story but I'll make it short. So I've been in the industry for about 30 years now so it makes me feel old when I say that. ⁓ But for the last 16 years I've been a real estate business coach and I've been lucky enough to coach people in Australia and the USA so I get a really good oversight of what's going on in the world. ⁓ But you know my focus for the last 16 years has been   where is this industry going and how can we help businesses to get there and what do need to do? So basically, yeah, for the last 30 years, I've been doing property management and yeah, I think it's exciting where it's heading and through that journey, I met you guys, which is wonderful. So yeah, yeah. Yeah, fantastic. We've been able to have you out at one of our conference events and have you speak and yeah, it's been delightful.   ⁓ I know, I mean, in 30 years, you've seen a lot of changes, but it's speeding up. Like we're in the middle of this AI revolution right now. Everything's changing dramatically. And so what are some of the things that you're noticing? And you have a process software called Thrusos, which we use to run our own operational side of our business. ⁓ What are some of the things that you are right now?   thinking are going to happen and you're trying to figure out. Yeah, well, I'm actually concerned about the future for property management in a positive way. If you can kind of like say that. Because what I'm seeing is we are going through rapid change. I remember when I started in the industry 30 years ago, we were just introducing property management software. Everyone was still using spreadsheets and you know.   paper documents and all sorts of things. ⁓ Carbon copy leases, know, that's how far back we go. And there was major pushback on property management software. And the pushback probably took about five years for the industry to completely transition to understanding you had to use software. Well, we don't have the luxury of five years anymore because my belief is it's changing so rapidly.   And it's the consumer expectations that are going to force change that if this industry does not change and truly understand AI, we're going to be irrelevant. So I believe in three years time, we're going to see completely different roles in the way that we do things. in the next, like leading up to that three years,   I believe that in the first year, we're going to see probably about 40 % of businesses starting to struggle and disappear. They're losing managements, clients are going elsewhere because they're expecting AI and seamless processes and interactions and tasking. And then that will speed up. And by the second year, we'll see 80%.   And then we'll only have a small percentages. I know this seems like doomsday, but it's a reality. Only a small percentage of existing businesses that are around today who will be around in three years time. If they do not adopt AI and AI is very broad. So they've got to understand AI, but you know, that's my belief. That's what I'm seeing as well. So yeah, you know, we've got to sit up and take notice.   Yeah. And I think a lot of the things that I've been noticing, some people kind of shift right away and some people are a little bit more reluctant to shift. Yes. And I think the ones that it's almost you need to find the balance. You don't want to go all in and all AI and you don't want to have no AI. You want to kind of find the right balance and that happy medium and really figure out what is the best way to utilize AI.   and have a human component. Because I do not believe it will be able to be all AI. I just, think when it really comes down to it, it is a relationship business. It's a human to human contact business. really when things go wrong, humans want to talk with other humans who understand. They don't want, have you ever been on the phone and you're going, agent, agent, representative, and it's not.   understanding and you're like, just get me to the human. do I, what button do I need to push? What option is it that I the human? And I think that will continue, that will prevail. However, AI is such a powerful tool that I think we just need to figure out what's the most complimentary way that the humans and the AI can interact together to provide an amazing experience so that the tenants are happy and the clients are happy and the property management business is happy.   really be able to figure out what's the best way to do this. And something that you were telling me yesterday, I went, ⁓ she is so smart for doing that. Can you talk a bit about your, ⁓ tell us first about Flusos and what it is and how it works. And then tell me what you were chatting with me about at dinner last night about what you're going in and updating in Flusos because of all of the advancements in AI that are happening.   Yeah, yeah, so you're 100 % right Sarah, you know, there will always be the human element. It's necessary. We're a service business. So people want the customer relationships. They want that person who lets them know, hey, this is all right. You know, we're going well here. But the role of the property manager has changed. There will always be a role for property managers, but not in the way that we see it today.   And that's where we've got to make that transition. But one of the simplest flows to talk about, when I talk about flows, Flusos is workflows on all of the various tasks that we do. To help people understand how AI integrates with the human side of property management is if we look at a tenancy renewal. So when we're doing that renewal, there's so much that AI can do that takes away that   you know, that personal kind of like input ⁓ into the task as in like if a property manager doesn't like a tenant, then you know, like it becomes personal. ⁓ If they do like the tenant and they've built this relationship with the tenant, where the tenant is making them feel like if the rent goes up, that the tenant will lose the home, the property manager gets too involved personally and emotionally.   So to take away that very personal and emotional element and deal in the facts, if we look at, you know, a tenant renewal, AI has the ability, and this is what we're building into Flusos. So AI has the ability to go through and say, these renewals are due. It will then look at the tenant history to say, you know, how's the tenant pay the rent on time? Let's look at the in-resident inspections that we've done and we can see that the tenants   looking after the property, abiding by the terms and conditions. Everything's going great. We can see in the system where the tenant has, you know, kind of like mentioned that they would like to renew, that their children go to the local school and they want to stay there through the primary. We've got all of this data that's built up. So AI will be able to go in and say, yeah, you know, like this tenant has mentioned they want to stay on. We look at their history. It's all good. We're also going to look at the market.   And the market is determining that we can increase the rent to this much or it stays, it remains as it is. And we should offer a lease term of this length because AI will be able to determine what's going on in that marketplace. There could be infrastructure rebuilds going on, which could push people away from moving there. You know, just because we've got infrastructure being built, there is a building period that turns people off.   So AI can look at all of that and then say, okay, this is what we should offer the tenant. Now, the property manager then looks at that and they can say, well, you know, this owner has this property as a ⁓ full-time ⁓ or permanent investment property, but we need to talk to them and say, hey, as an investment property, this is where we recommend that you, you know, take the property, increase the rent, offer renewal because of this.   ⁓ And then the owner can make a decision. Now AI jumps in, does all the lease renewals, sends off the documents, updates the system. And the property manager's next role is talking to the owner and saying, congratulations, the tenants have signed the renewal. AI has then given them updates on your property is now achieving this in comparison to market. This is what the increase means to you in terms of dollars and percentage.   And we become that voice of, you know, like ⁓ reason and congratulations and service. And the owners look to us for that because all the information that's given to them is not based on personal, ⁓ you know, thoughts on what's going on or emotion. So, yeah.   And it makes it seem either that's the thing. No, I guess not. Oh, I think they're building over there. So maybe it'll be good and yet they're supposed to build a new stadium and that'll bring in. It's really figuring out things that we just don't know what the impact will truly be. And I love that it's kind of like, OK, have the human monitor the AI and have the AI do the heavy lifting.   and then you kind of watch it, make sure it's doing the right thing, and then you get to be the human to human connection. Exactly. Let me be the one who calls the owner, but AI has done all the things for me, so it's kind of prepped it, gotten it ready, wrapped it up in a pretty package that now I can present to the owner, and I get to be almost a bearer of good news instead of the bearer of bad news. Exactly, exactly. And know, owners don't want to hear that you should renew the lease because they're a good tenant.   Well, what constitutes a good tenant? They have to pay their rent on time. They have to look after the property. They have to look after the garden. So they've got to abide by the terms and conditions. It doesn't mean they're a good tenant. So owners don't want to hear that. The owners want to hear that they've abided by the terms and conditions. So we see no reason why they shouldn't be offered a renewal. I think one of the interesting challenges that are   that's going to come with AI is that AI can make anything now. I can take a photo of you, I could use AI to make you say stuff and match your voice. And so the danger with AI is that I think we're gonna get to the point where people will only trust human in-person interactions to begin things or to end things or just, you know. And so there's gonna have to be this human element of verification unless there'll probably be some people that work this out.   like some sort of verification system. You can load it up on your phone and verify that this is a real thing that you're talking to on Zoom or something. you know, that with all the AI slop as they're calling it and all of the fake videos and it's now becoming nobody believes anything. And so it's hard to know, is this really true? Is this actually the property manager that I'm talking to that is, you know,   that I have this property and I'm the owner and you know, are they real? And so, am I giving them access? And so I think there's gonna need to be some sort of verification system in order for people to trust because people will trust, I think it'll get to the point where we'll just trust this. Like I can shake your hand, I can touch you, I you're real.   I mean, we might all be fake on the I you don't know we just took a photo and write the whole podcast and do it and yes But they're really in Ulston That's right. Yeah There's been so much that's happened with deep fakes there've been yeah millions of dollars scammed and Now there's it it's getting so aggressive   that it's recommended that if you are a human that recommends or that interacts regularly with another human, like you and your husband, for example, or you and your children, that you have a a safe word, a password, a verbal safe where if you get a phone call from what looks like and sounds like your daughter saying, mom, I'm stuck on the side of the road, please send me money, I need help, what's the word?   What's the word? And then you know if that word isn't said, that is not my daughter even though it looks like it sounds like it. And I think that's going to be something that we need to kind of incorporate as well and for that reason I agree. I think that in-person, personal relationship will be more important than ever. Yes, I agree with that and this is something that's interesting you bring that up because I always had a safe word with my children. It was given. ⁓   It's something that I think property managers take for granted. They call owners and tenants and talk about all sorts of things without any sort of security check. So, you know, like if we're talking to the banks or, you know, anyone, we get a telecode or we've got to like key in what our personal sort of verification. Exactly.   So I think that's another area, and I'm glad you brought that up because it's another area where industry has to step up. We've got to protect the data that we've got. We've got a lot of sensitive data there. So we've got to really look after that. But there will always be that human element in property management because people want to know that they're making the right decision. People want to chat about it. They want to go through and say, based on that data,   would I be wrong in increasing the rent? It's like, no, a property manager is like, that's what the market is determining. So if the market determines a rental increase, then that's what the market is saying. Holding back rent only impacts every other investor in that market. I think it'll be interesting. So I think moving forward in the future, if we start to leverage AI, but we build our processes around things.   you know, initiated in a way that it starts with a human and that sensitive touch points are done as a human and that we come up with our own verification methods, we're going to avoid some of these traps and our processes will have a longer life span. Yes, yes. You know, we won't have to, man, we have to change everything now with the, all these scammers are doing this one thing where they call up and pretend that they're you, you know.   And so, yeah, because you can go on 11 Labs right now. You can upload your little recording of your voice and then you can have your voice and you can have it say anything. so, yeah, so I think that's going to be a challenge. And I think we're going to have to figure out a way to how do you how do you on a Zoom call with a remote owner that's out of state or out of country verify that each of you are an actual   real physical human being. Somebody needs to invent that device that verifies it's like taking a blood sample. It's like they're human and it's it's like, this is the, this is actually Joe I'm talking to across the pond. So yeah. Okay. Yeah, it is important. And I think the other thing for the industry to understand is that, you know, AI isn't something that they can go back to their office and say, we're going to build this AI.   ⁓ Let the experts do it. Let the experts who understand process and know, Sarah is a real expert on process and to have that level of expertise, it takes a lot of knowledge and a lot of like building and rebuilding and understanding and it's tweaked, you know, for different companies. But you know, like they shouldn't be taking this on themselves. Let the experts do it. And when we talk about, you know, our tech.   We need tech stacks and there is a lot of different technology out there that we've got to build it all in together. Property managers can't do that. A lot of business leaders can't do it either. know, have faith in the experts. That's what I'm saying to the industry is have faith in the experts because, you know, they are doing a lot of work behind the scenes on making sure that AI is not a negative.   impact to the industry is only making our industry sustainable and relevant into the future. mean that's going to be one of the temptations and dangers is that anyone can now go create any software. can load up lovable or any of these other tools and they can say make me a CRM or make me a property management software. But yeah the problem is you then have to become some sort of expert that's constantly communicating, fixing bugs, tweaking it, figuring it out.   And if you can't or something breaks or something gets hacked, then you're at risk. Your whole business is now at risk. And yeah, so I think that, but in the future, everybody will be able to create anything. So I think the people that really thrive and survive and keep a job while AI kind of takes over, I believe will be those that are the artists.   So we're going to shift away from it being about being a nerdy programmer. It's going to be those that have this creative thinking that they can think, how can I combine these tools? How can I connect these? How can we innovate this? And that's been one of the most fun things for me in playing with AI is now I get to be an artist with building systems and building things and creating things. Cause I can create things so quickly. Whereas before I would just think about all the things I wanted to do. And I'd be like, that'd be nice if somebody made that. And I'd be like, that's way too much work.   I don't want to do that. but yeah, it's now you can just create anything and you can edit things quickly. You can have things reviewed. And so there's a lot of things that everybody's probably already using some of the AI tools right now, you know, like chat GPT and maybe Claude and perplexity and some of these things, but there's a lot of, you know, more advanced tools that are coming out that are going to make things even faster.   And now AI is building AI and things are just speeding up.   Jason Hull (22:01) is that we're gonna have a lot of tenants out of work. I think there's gonna be a lot of tenants that are like, hey, I just lost my job to AI. And so we've already replaced some roles and some functions of our team and maybe even a whole team member with some AI tools already. And so that's coming very quickly. And I think Elon Musk just said that   in the next three to five years, the best surgeons in the world will be robots. And those are high paying, high functioning jobs that people put a lot of effort into, but he says they'll be better, more accurate. And so, do you want a really seasoned, older surgeon with maybe, he's human steady level hands, or do you want somebody that has laser precision that gets it right every time that's overseen by that person?   I think the best blend is both. I want the AI laser precision with the human with all of the knowledge and experience to watch it and make sure that it's the right thing. if you did it that way, if a doctor just had a monitor, it eliminates the need for many of them. You now need one doctor to...   multiple AI robots. Because you've got beta. think everything that's going to shift, AI is going to change so many things, which is great. It's still not going to be able to, I mean, how comfortable would you feel? Open heart surgery and that's the AI robot and you go, ⁓ do I want that thing cutting me open? ⁓   What's its track record? What if it glitches? What if it breaks down? Is it going to do the right thing? it know? What is it, you know, is it programmed? What if it dies in the middle of the surgery? Does it have a battery? There's a lot of things to think about. And does it care? Right. is it, what if it that eye robot where it's scanning and going, oh, it has an 11 % chance of survival. I'm done. Well, wait a second. Hold on. Do we, you know, do we keep going? So I think everything is going to come down to a blend.   of AI and human and there's got to be both of those components. So can you maybe chat about, let's chat about kind of both ends of the spectrum here. What might happen to some property management companies that refuse to adopt AI? Where they go, I'm just not doing it. I'm not using AI. I'm staying old school. We don't want to learn anything. We don't want to do anything else. might you be a, what would you think the prediction would be on companies that just will not?   Yes. Use it. That's a really good question because we kind of saw that with what happened with these old school companies ⁓ where they refused to have anything but the property management program, you know, where you store your data. ⁓ And they eventually were out of business. I mean, I'd go into these offices and they just have   files everywhere, files covering the desk, they didn't know where anything was. But they refused to, you know, ⁓ use anything else than go to that paper file. And it was a mess. mean, how do you find paper? ⁓ So we saw those businesses gradually get out of business. They didn't have a business to sell, basically. So they might have been mighty in their day, but they were no longer mighty when technology just   over. Now that took a long time to happen in the past. It's going to be more rapid now. So those businesses that refuse to adapt or adopt AI or understand it because a lot of them think we've got AI. It's like you don't have AI. GPD does not help you to manage process better. So if they don't then   We're seeing it already Sarah and Jason. We're seeing that these companies that used to manage 500 or more managements are down to half of that and I'm selling one at the moment where they had 600 and we're just on the final figures today. They're down to 342. That's a lot of money that they've lost because they refuse to adapt new methods and they let the property managers determine   what technology they would use. Because what happens if we allow staff to determine what technology we will use, then the staff just create or justify a reason for their position. We can't do that anymore. We've got to identify the task that a property manager does. And there's much less than what, you know, they did in the past. A property manager is basically just a client relationship manager now.   They're reviewing data and interpreting that data to have conversations with the clients. And that's the way we've got to do it. And the other thing is, investors are changing too. So we're getting a lot of institutional investors. So institutional investors don't want to deal with, you know, mother head and type, you know, like, ⁓ the tenants are lovely and you know, you don't want to lose them and...   you probably can't afford to do the maintenance and things like that. Institutional investors just want the facts so they can make a decision and quite often they don't want to make a decision they want the property manager to do what's needed. And AI will determine the necessary steps so the property manager becomes that person this has been done or they can look online through their portal. in   I'm like, that's a long answer to your question. But you know, like I believe hand on heart and don't want to seem like I'm doing so sorry, I'm hitting the mic. that three years time is three years is all we've got to make the changes and to identify the tasks the property manager does. Because it's not the same anymore. I agree. And I think it's about shifting that shifting. It's about making that shift.   And then conversely, let's talk about the other end of the spectrum because, okay, if you go, you know what, I'm sold, I'm doing everything AI. I'm firing my entire team, I'm letting AI do everything and we've seen some companies try to do this before, but now there's a lot of changes and AI can do a lot of things that before was not possible. So what would you say to the companies that are gonna go all in and they're gonna do all AI? Is that the solution?   No, it's a happy blend of technology and team. So if you don't have the team there, property management is a service industry. So we have to remember that, you know, and our service is helping the clients to feel confident about decisions that they're making or instructions that they're giving. ⁓ So it is definitely a blend of ⁓ technology and team.   but the team's role has changed. please don't think you can go in there and chat GBT is going to, you know, create all the conversations and, and, know, they're going to answer the phone and, and, you know, talk to the client and record it all. No, there needs to be human element. But again, I'll go back to it's the experts that will help you create that because it's very, very difficult to understand how to blend that technology and team. ⁓   without the kind of like the team having their say in it too. A lot of business owners let the team say too much and they make decisions based on team. We've seen that, or they take a vote. A vote, yes. My team, I hear that from our clients, and they go, well my team voted and what? Your team voted? No, no, no, no. that's good. They don't ever vote. Like, yeah, you know, eliminate my job. I'll vote yes for that. Yeah, yeah. No, no.   Yeah, the challenge with team members is that they are not usually money driven the way entrepreneurs are. They're not focused on the money side of the business and they're focused on safety and security. And as AI comes, that's going to take a lot of that away. And so yeah, you don't want to have your team vote. This is, it's not like a   It's not democracy. No, this is business. I believe in democratic principles, it's the business. But yeah, you can't place the burden of decision making on people that are wired to make decisions in a way that's not conducive. Yeah, it's all about them. And, you know, like it's important to understand how the team is thinking so that you can then help them adjust to it or no.   that person's not going to come through with me. So you can make the decisions. no, know, team will always justify why they are needed in a business. Yeah. mean, the day may come with all the AI stuff and humans really, we tend to like each other. We like humans a bit. You know, we'll probably have labels on our business made with real humans. Real humans at our business and a real human answers the phone. No AI. You know, I mean, it might happen. So that could be interesting. So.   One of the things that I also though, am thinking and maybe I'm a bit of a conspiracy theorist or a little crazy, I don't know. But ⁓ when Trump went into Venezuela and extradited or took out that dictator that had taken over the government there and was causing a lot of problems, the people were very happy. But what was really interesting, what was unsaid or I didn't hear people talk about it much is the US government.   Military whatever went in had the ability they turned off all the power to the entire city There were not even backups were working everything went out and went black. Mm-hmm and That's wild to think that we have the ability to just wipe out power and electricity I don't know if it was an EMP thing or Some people say solar flares can do this and maybe the government can do this kind of stuff. Who knows but the fact that technological   data, power, electricity, all that can just shut off in an instant. How would we deal with that in a world where everything has become digital and everything has become AI? Will we have backups? Will we have keys? Will we be able to find things? ⁓ Will we know stuff? there's, think there, I mean, if that happens one time, it will be like change everything forever. Just like the pandemic changed everybody's perception forever about.  

Altium Develop connects your entire electronics product team — from design to supply chain to manufacturing — in one unified platform: https://www.altium.com/develop?utm_source=youtube&utm_medium=video&utm_campaign=ontrack-podcast&utm_content=violet-labs-the-integration-hub-solving-hardware-data-chaos   Hardware engineering teams have long struggled with disconnected software tools — CAD systems that don't talk to PLMs, PLMs that don't sync with MES platforms, and engineers spending hours manually copying BOM data between systems. In this episode of the Altium OnTrack Podcast, host Zach Peterson sits down with Lucy Hoag, founder and CEO of Violet Labs, to explore how her company is tackling this pervasive problem. Lucy shares her journey from astronautical engineering and satellite design to building a no-code integration platform that acts as a centralized hub for all the disparate tools hardware teams rely on every day.   Violet works like a "Zapier for hardware engineering" — connecting mechanical CAD, electrical CAD, PLM, MES, ERP, project management tools, and more through a single middleware platform. Lucy and Zach dig into why native integrations between major software vendors remain rare, the regulatory constraints that have stalled innovation in aerospace, and how Violet's no-code approach removes barriers for non-software engineers. They also discuss Violet's newly launched MCP server, the role of AI in responsible data orchestration, and what's next on the product roadmap.  

Labs and Tom talk about key dates in the upcoming NFL offseason and get to this weeks questions.See omnystudio.com/listener for privacy information.

Episode Highlights With KatieWhat the liver actually does How the liver is a metabolic hub: carbohydrate, fat, and protein metabolism; glycogen storage and release.Bile production: emulsifies fats, carries out bilirubin, cholesterol, and conjugated toxins via stool (enterohepatic circulation).Signs the liver or biliary system may be struggling and red flags to quickly check out.Labs you need to know aboutDetox myths vs the realityEvidence-backed nutrition for liver heath and the lifestyle levers that move the needleSupplements that have the most evidence and a 4-week practical liver reset plan.Resources MentionedCoffeeProbioticsTaurineGlycineCholine/PCArtichoke leafNACPhosphatidylcholine (sunflower lecithin/PC)Milk thistle (silymarin)CurcuminBerberine

Dan Nathan welcomes Michael Dempsey, partner at Compound VC, for an in-depth discussion on AI, crypto, and technological investing. Returning guest Dempsey shares his insights on historical and emerging trends in AI, highlighting the evolving landscape of AI commercialization, the increasing speed from research to market, and the shift from market cap expansion to destruction. The podcast also dives into Dempsey's venture capital strategies, discussing his firm's impressive portfolio, including companies like Runway and Wave, and their new public markets fund. The conversation later transitions to crypto, with guest Evan Karvounis sharing his journey and the significant potential he sees in the decentralized exchange, Hyper Liquid. Michael further elaborates on Bitcoin's potential as a store of value. The episode encapsulates a comprehensive overview of the bleeding-edge tech landscape and its promising future. After the break, Dan welcomes Evan Karvounis to the pod. Evan shares his view on Bitcoin's current branding issues linked to the Trump administration and the preference for gold among Eastern investors. The conversation then shifts to Ethereum and Solana, which Evan believes are significantly overvalued, explaining their past success through the 'casino chip thesis.' The focus then moves to Hyper Liquid, a decentralized exchange project Evan heavily invests in. He outlines its unique approach of building a product before a chain, its market potential, and recent impressive growth, particularly in traditional asset trading. The discussion concludes with Hyper Liquid's market positioning and revenue growth potential. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

We love to hear from our listeners. Send us a message. On this week's episode of the Business of Biotech, Jared Bauer, Cofounder and CEO at Seek Labs, talks about his adventures in company turnarounds, and setting up Seek Labs to improve patient diagnoses and to discover and develop new treatments for infectious diseases. Jared explains the technology convergence that was needed to build Seek Labs' AI diagnostic and CRISPR-based therapeutics platform, an African Swine Fever proof-of-concept study that reduced viremia in pigs, mapping pathogens for rapid target design, and engaging with the FDA and global regulatory agencies.       Access this and hundreds of episodes of the Business of Biotech videocast under the Business of Biotech tab at lifescienceleader.com. Subscribe to our monthly Business of Biotech newsletter. Get in touch with guest and topic suggestions: ben.comer@lifescienceleader.comFind Ben Comer on LinkedIn: https://www.linkedin.com/in/bencomer/

Today's episode is an important one, and I want to say that right out of the gate, because this conversation comes up constantly in my work with women across fat loss, hormones, digestion, energy, and long term health. This episode is about labs. More specifically, it's about what happens when you're told your labs are normal, but your body is clearly telling you a different story. Women come to me every week holding labs ordered by their doctor. Lab work that has been reviewed. It's been stamped as fine blood work that technically falls within the Western range. And yet they don't feel good. They're tired. They're inflamed. They have symptoms. They're gaining weight. Their digestion is off. Their mood is off, their sleep is unbearable, and something just doesn't feel right in their body. And I want you to hear this today. That disconnect is not imagined. Not even a little bit. After twenty five years of working in nutrition, metabolism, hormone health, and lab interpretation, I can tell you that this is one of the biggest blind spots in women's health.  Today, we're going to talk about why normal doesn't always mean optimal. Why symptoms almost always show up before a diagnosis ever does, why timing patterns and context matter more than a single data point, and why so many women feel dismissed because the system isn't designed to interpret what they're actually experiencing. This is not an episode about blaming medicine. It's an episode about understanding scope, training, and systems.   Time Stamps:   (0:50) What Happens When Your Labs Come Back "Normal" (4:48) Context and Patterns Matter (7:04) Systems Are Adaptive Responses (8:13) Functional and Being Proactive (9:55) Blood Sugar (15:00) My Soapbox on Tik Tok and ChatGPT (15:34) Who Is Equipped To Interpret Labs? (20:30) Why Women Come To Us For Help ----------  Apply for SF Coaching Method  https://sarahfechter.ac-page.com/sfhq-cc Complimentary Health Content  https://sarahfechter.ac-page.com/Health_Wellness_Community ----------  Follow Me On Instagram - https://www.instagram.com/sarahfechter.ifbbpro/   Check Out My Website - https://www.sarahfechter.com ----------  This Podcast is for general informational purposes only and does not constitute the practice of medicine, nursing, other professional health care services, or any professional practice of any kind. Any reliance on the information provided in this Podcast is done at your own risk and Sarah Fechter Fitness LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual use of, reference to, reliance on, or inability to use, this Podcast or the information presented in this Podcast. All contents and design for this Podcast are owned by Sarah Fechter Fitness LLC. Always consult your professional team before beginning any exercise or nutrition program.

Astera Labs (ALAB) recently crushed earnings estimates and provided strong guidance for Q1 2026, yet the stock remains down. Why is the market hesitating?In this video, we break down the Q4 financials for Astera Labs and preview what to expect from Credo Technology (CRDO). We discuss the competitive landscape regarding re-timers and AECs, but more importantly, we expose a significant red flag regarding customer concentration, the Amazon warrant deal.www.chipstockinvestor.com/membershipIs Astera Labs buying revenue at the expense of shareholders? We also run a Reverse DCF valuation to see what growth is priced in at $144/share. https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formwww.chipstockinvestor.com/membershipSupercharge your analysis with AI! Get 15% of your membership with our special link here: https://fiscal.ai/csi/Sign Up For Our Newsletter: https://mailchi.mp/b1228c12f284/sign-up-landing-page-short-formIf you found this video useful, please make sure to like and subscribe!Chapters:00:00 - Astera Labs: Great Earnings, Bad Stock Action 01:10 - Credo & Astera: The High Growth Dilemma 01:58 - Retimers & Competition (Broadcom, Marvell) 03:00 - M&A Strategy: Consolidating the Market 03:52 - Astera Labs Q4 Financial Review05:14 - Credo Technology Preview: Niche Focus vs. Breadth 06:33 - The Major Risk: Customer Concentration (Hyperscalers) 07:29 - Explained: The Amazon Warrant Deal (Buying Revenue?) 10:18 - Astera Labs Valuation: Reverse DCF at $144 11:27 - Conclusion: Why These Are "Babysitter" Stocks*********************************************************Affiliate links that are sprinkled in throughout this video. If something catches your eye and you decide to buy it, we might earn a little coffee money. Thanks for helping us (Kasey) fuel our caffeine addiction!Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.#AsteraLabs #ALAB #Credo #CRDO #Semiconductors #StockMarket #Investing #ChipStockInvestor #AIfinanceNick and Kasey own shares of Credo

Nicole and I talk about this AI robot that older people who live alone are using. Then some follow up on leaving the Noom app and our recent car purchase.  Eric's Amazon Page affiliate link: https://geni.us/5UWTG  AI Robot Free NY Times link here: https://www.nytimes.com/2026/02/12/us/elliq-ai-robot-senior-companion.html?unlocked_article_code=1.L1A.njZ7.t-w1TYh5pU7N&smid=nytcore-ios-share Sign Up For My Free Newsletters: https://www.gardenfork.tv/email/ Here are 2 After Shows for you to check out, please consider becoming a Patron of GF. https://www.patreon.com/posts/138069613  https://www.patreon.com/posts/free-after-show-122506027  Here's one of the many Labs pics I post for patrons: https://www.patreon.com/posts/step-away-and-be-122999799 Please considering supporting the GF world by becoming a supporter on Patreon. You get weekly Labrador and behind the scenes photos and vids, plus the Patron-only GardenFork Radio After Show. :) https://www.patreon.com/gardenfork Check out the new Cool Stuff emails: Cool Stuff #1 https://preview.mailerlite.com/n3c9y8y8a2 Cool Stuff #2 https://preview.mailerlite.com/h7o6t7l9a6 Start your Amazon shopping using our affiliate link: https://geni.us/5UWTG  The Tools I Use: https://geni.us/bXV6a7  GardenFork receives compensation when you use our affiliate links. This is how we pay the bills ;) Email me: gardenfork87@gmail.com Watch us on YouTube: www.youtube.com/gardenfork Music used on the podcast is licensed by AudioBlocks and Unique Tracks ©2025 GardenFork Media LLC All Rights Reserved GardenFork Radio is produced in Brooklyn, NY

Are hormones making you gain belly fat? Is menopause really breaking your metabolism, or is something else going on? And does hormone replacement therapy help or hurt body recomp after 40?Body recomp, weight loss, hormone health, and women's fitness all collide in this conversation with Dr. Maria Sophocles, a board-certified OBGYN and nationally recognized menopause expert with 30 years of clinical experience. We break down why women lose muscle, gain abdominal fat, and struggle with metabolism during perimenopause and menopause even when nutrition, macros, and strength training are dialed in.We unpack what estrogen, progesterone, and testosterone actually do for fat distribution, muscle building, insulin sensitivity, and longevity. We also tackle the biggest fear head-on: does HRT cause weight gain?If you care about lifting weights, strength training over 40, and sustainable weight loss, this episode brings clarity instead of confusion.Today, you'll learn all about:0:00 – Menopause and weight fears5:33 – Why belly fat increases9:15 – Hormones vs metabolism myths13:56 – Muscle loss and calorie needs20:18 – Does HRT cause weight gain27:13 – Estrogen and fat distribution28:24 – Progesterone and sleep effects31:24 – Testosterone and muscle building34:16 – Labs and doses38:31 – Health risks and best time to start HRT45:30 – Four HRT takeawaysEpisode resources:Instagram: @mariasophoclesmd Website: mariasophoclesmd.com Book: The Bedroom Gap: Rewrite the Rules and Roles of Sex in MidlifeTED Talk: What happens to sex in midlife? A look at the "bedroom gap"YouTube: @drmariasophocles 

Have you heard about the DUTCH test or urine testing for hormones , but when you saw the price you were shocked? You hear that it's important, but not sure if it's worth the price and are looking for alternatives. Then this episode is for you. Today I'm sitting down with my biohacking buddie Dr Amy Killen, who is a leader in women's health, regenerative medicine and longevity, and just spent six months combing through every study she could find on estrogen metabolites and hormone testing We cover What 22+ studies actually show about estrogen metabolites and breast cancer If DUTCH testing is helpful or unnecessary Labs that truly matter for longevity Which tests can help time HRT or track menopause onset The strongest lifestyle habits for extending our healthspan What's the number one treatment for skin health in menopause The top three longevity habits for women And so much more   Amy B. Killen, M.D., specializes in women's longevity–specifically hormone optimization and regenerative medicine–using research-backed and evidence-based interventions so women can thrive during their Queen Phase™.  She's a board-certified former Emergency Medicine physician who has dedicated the past dozen years to honing her expertise in health optimization, integrating treatments like pioneering stem cell therapies, bioidentical hormones, and peptides with personalized lifestyle strategies and technology-driven decision-making.  As an entrepreneur, she co-founded and now serves as Chief Medical Officer of Humanaut Health, a longevity clinic franchise. She also founded and remains immersed in the Human Optimization Project (HOP), a female-focused supplement company that bridges innovative medical treatments with accessible wellness solutions.  She shares her expertise and reaches audiences through educational content creation on her website and Substack, international speaking engagements, podcasts, and various media outlets. Dr. Killen earned her bachelor's degree in Biomedical Science from Texas A&M University and then her doctor of medicine degree from UT Southwestern Medical School. She became Chief Resident while completing an Emergency Medicine residency at the University of Arizona. She lives in Salt Lake City, Utah, with her family of five. Disclaimer: This is not meant to be medical advice. Dr. Amy is a doctor, but not your doctor.   Supplements: www.hopbox.life , Clinics: www.humanauthealth.com Discount code ZORA Contact Dr. Amy Killen: Social:  @dr.amybkillen,  @humanauthealth @hopboxlife  Substack: The Good, Bad and Ugly of Estrogen Metabolite Testing https://dramybkillen.substack.com/p/the-good-bad-and-ugly-of-estrogen Website: www.dramykillen.com  Healthcare: www.humanauthealth.com  Supplements: www.hopbox.life 10% off code ZORA   Give thanks to our sponsors: Try Vitali skincare. 20% off with code ZORA here - https://vitaliskincare.com Get Primeadine spermidine by Oxford Healthspan. 15% discount with code ZORA ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ - http://oxfordhealthspan.com/discount/ZORA Get Mitopure Urolithin A by Timeline. 20% discount with code ZORA at https://timeline.com/zora Try Suji to improve muscle 10% off with code ZORA at TrySuji.com - https://trysuji.com Try OneSkin skincare with code ZORA for 15% off https://oneskin.pxf.io/c/3974954/2885171/31050   Join the Hack My Age community on: YouTube: https://youtube.com/@hackmyage Facebook Page: ⁠⁠⁠⁠⁠@⁠Hack My Age⁠     Facebook Group: ⁠⁠⁠⁠⁠⁠@⁠Biohacking Menopause⁠⁠⁠⁠⁠⁠ ⁠   Biohacking Menopause Private Women's Only Support Group: https://hackmyage.com/biohacking-menopause-membership/ Instagram: ⁠⁠⁠⁠⁠@⁠HackMyAge⁠    Website: ⁠⁠⁠⁠⁠⁠HackMyAge.com⁠    For partnership inquiries: https://www.category3.ca/  For transparency: Some episodes of Hack My Age are supported by partners whose products or services may be discussed during the show. The host may receive compensation or earn a minor commission if you purchase through affiliate links at no extra cost to you. All opinions shared are those of the host and guests, based on personal experience and research, and do not necessarily represent the views of any sponsor. Sponsorships do not imply medical endorsement or approval by any healthcare provider featured on this podcast.

Aave Labs is at its most critical crossroads.The "Aave Will Win Framework" proposes sending 100% of product revenue to the DAO in exchange for annual funding unifying Labs and token holders under one vision.Stani Kulechov breaks down how v4, consumer apps, and brand governance position Aave to finance the future.We cover:- The "Aave Will Win" Framework Explained- How v4's Modular Architecture Changes Everything- 100% Revenue Share: Labs to DAO- Consumer Apps, Cards & Enterprise Products- Brand Governance & Foundation Structure- Financing the Future vs Tokenizing the Past- Why This Is Aave's Defining MomentThe RollupTimestamps:00:00 Intro01:29 DeFi's Maturation & Token Design04:55 Aave's ICO Origins & Evolution10:48 Regulatory Uncertainty's Impact on DeFi11:45 YEET, Trezor Ads12:21 The Aave Will Win Proposal21:42 Token-Centric Alignment Strategy23:10 Why v4 Unlocks New Revenue Streams31:27 Financing the Global Transition32:44 inFiniFi Ads, Hibachi Ad33:11 High-Margin Opinionated Products39:01 Brand Governance Explained42:12 Current Economics vs New Model47:05 What Happens NextWebsite: https://therollup.co/Spotify: https://open.spotify.com/show/1P6ZeYd...Podcast: https://therollup.co/category/podcastFollow us on X: https://www.x.com/therollupcoFollow Rob on X: https://www.x.com/robbie_rollupFollow Andy on X: https://www.x.com/ayyyeandyJoin our TG group: https://t.me/+TsM1CRpWFgk1NGZhThe Rollup Disclosures: https://goodidea.ventures

Didero functions as an agentic AI layer that sits on top of a company's existing ERP, acting as a coordinator that reads incoming communications and automatically executes the necessary updates and tasks. Also, General Catalyst is in talks to lead Modal Labs' next round for the four-year-old startup, according to our sources. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of The Coach Debbie Potts Show, I sit down with Dr. John Osborne, cardiologist and founder of ClearCardio, to uncover what most people—and even many physicians—are missing when it comes to heart disease risk. We dive into why cardiovascular disease often progresses silently, especially in fit, high-performing adults who "do everything right." You'll learn why traditional markers like total cholesterol and LDL often fail to tell the full story—and how advanced imaging and deeper biomarkers can reveal risk years (or decades) earlier. This conversation is especially important for: • Endurance athletes • Midlife high performers • Men and women navigating hormonal shifts • Anyone with a family history of heart disease • Those frustrated by "your labs look fine" answers In this episode, we cover: • Why heart disease is often missed until it's too late • The difference between cholesterol numbers and plaque burden • What a coronary calcium scan actually shows—and who should consider one • How chronic stress, inflammation, hormones, and metabolic dysfunction impact the heart • Why fitness does NOT automatically equal cardiovascular protection • The role of insulin resistance, visceral fat, and vascular inflammation • How early detection changes outcomes—and saves lives We also connect the dots between metabolic health, nervous system regulation, inflammation, and cardiovascular resilience, aligning perfectly with The FLOW Foundation™ and The FutureYou Blueprint™ philosophy:

No Jeff this week (stomach bug took him out), so Matt and Tyler hold down the mic with two guests who live at the intersection of service, dogs, and the outdoors: Brian Rollison (active duty Army armor officer) and Reid Parrish (Iraq & Afghanistan vet, full-time guide) from Hero to the Line. Hero to the Line is a Texas-based 501(c)(3) nonprofit with a simple mission and a massive impact: donate well-bred Labrador retriever puppies to veterans, active duty service members, and Gold Star families—then surround them with a community that helps them train, learn, and stay connected. We talk about why a dog can be the difference between sitting on the couch and getting outside, how training creates routine, and how a “new furry best friend” can help people work through life's hardest chapters—whether that's the transition to civilian life, grief, or the weight that follows deployment. Brian shares his path from hunting doves in Virginia to chasing ducks across the country (and even a NATO rotation in Poland), and how receiving his lab Daisy changed everything. Reid breaks down how the organization grows through breeder relationships, sponsorships, and the magic of “whoopsie litters,” plus what it feels like watching recipients take that first step into the dog world—beds, food, training tips, and all. We also get into the “holy cow” moment of seeing a finished-level dog run, why hunt tests flip a switch in people, and how Hero to the Line is building a nationwide network of dog owners and veterans (from Alaska to Florida). Learn more / apply / support: Hero to the Line (hero2theline.org) Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we dig into why so many people leave conventional medicine hoping functional medicine will be the "exit ramp"… only to end up overwhelmed by pricey testing, endless protocols, peptides, and supplement stacks. We clarify that functional medicine itself isn't the enemy. The real problem is bringing the same outside-in, fix-me mindset into a new system and calling it "natural." We make the case that lasting health isn't something that happens to you. It's something you participate in, from the inside out, by rebuilding resilience, adaptability, and trust in the body's design to restore. We also challenge the cultural obsession with optimization, constant data, and "personalized medicine," including the risks of health-data harvesting and biosurveillance. Our bottom line: you shouldn't need a $2,500 buy-in to start healing. The better path is self-directed, principled, vitalistic healing—using tools wisely, avoiding dependency, and choosing support that strengthens your body's own capacity instead of trying to supplement your way back to health. Resources Mentioned: One Dream on Instagram: @onedream.podcast — DM us your detox questions Follow The One Dream Podcast:

Work With Me: (my fastest path to weight loss transformation for women over 40) Apply for ForeverWell Private Coaching  Turn podcast episodes into weight loss results: Sign up for Stop. Dieting. Forever. Friday weekly newsletter   Here's the thing nobody tells you about perimenopause lab work: your doctor is looking for disease, but you need someone looking for optimal function. Those are two completely different things. And that gap is keeping you stuck with "normal" test results while your body falls apart. I've worked with enough women to see the pattern. They're told their thyroid is fine based on one marker. Their hormones get tested on random days. Nobody checks fasting insulin even though their glucose looks perfect. And they walk out of appointments being told to eat less and move more when the real problem is being completely missed. This episode is about getting the complete picture before you make any decisions about HRT, peptides, or other interventions. Because half my clients didn't need what they thought they needed once we actually looked at what their body was doing.   FEATURED ON THE SHOW / RESOURCES Want to Work With Jennifer? Book a Consult Follow me on Instagram: @JenniferDentBrown Website: JenniferDent.com Oura Ring 

Invité, fonction, était l'invité de François Sorel dans Tech & Co, la quotidienne, ce jeudi 24 septembre. Il/Elle [est revenu(e) / a abordé / s'est penché(e) sur] [SUJET] sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

Just a brief podcast that talks about the VMware{code} labs at connect and the GPU's we ordered for the MInisform systems. Running Private AI. Technical difficulties made this a short podcast.

Labs and Tom Recap the Super Bowl and then get to this weeks questions.See omnystudio.com/listener for privacy information.

This week, join Wole Agbaje, the leader of IMPRINT Church, a network of churches with a vision to see people marked by God leave a mark on their world. A musician and designer, he empowers others to use their artistic talents to express their faith in Jesus. He is also the co-founder of the Hongdae Creators Festival in Seoul, South Korea - an initiative that uses creativity to reveal God's heart and foster collaboration among artists.This week on The Renaissance Podcast, we're hearing from Wole at his Renaissance London Lab at SAINT in November 2025.Head to RENAISSANCEMOVEMENT.ORG to find out more about our Renaissance events around the world ✨

A less than good customer service experience with the Noom weight loss app, despited being a long time customer. But a really good car buying experience at Enterprise Car Sales.  Sign Up For My Free Newsletters: https://www.gardenfork.tv/email/ Here are 2 After Shows for you to check out, please consider becoming a Patron of GF. https://www.patreon.com/posts/138069613  https://www.patreon.com/posts/free-after-show-122506027  Here's one of the many Labs pics I post for patrons: https://www.patreon.com/posts/step-away-and-be-122999799 Please considering supporting the GF world by becoming a supporter on Patreon. You get weekly Labrador and behind the scenes photos and vids, plus the Patron-only GardenFork Radio After Show. :) https://www.patreon.com/gardenfork Check out the new Cool Stuff emails: Cool Stuff #1 https://preview.mailerlite.com/n3c9y8y8a2 Cool Stuff #2 https://preview.mailerlite.com/h7o6t7l9a6   Start your Amazon shopping using our affiliate link: https://geni.us/5UWTG  The Tools I Use: https://geni.us/bXV6a7  GardenFork receives compensation when you use our affiliate links. This is how we pay the bills ;) GF Sweaters and T Shirts https://teespring.com/stores/gardenfork-2 Email me: radio@gardenfork.tv Watch us on YouTube: www.youtube.com/gardenfork Music used on the podcast is licensed by AudioBlocks and Unique Tracks ©2025 GardenFork Media LLC All Rights Reserved GardenFork Radio is produced in Brooklyn, NY

Anthropic dropped Claude Opus 4.6 and OpenAI responded with GPT 5.3 Codex just 20 minutes later — the most intense head-to-head model release we've ever seen. Here's what each model brings, how they compare, and what the first reactions are telling us. In the headlines: Google and Amazon share their capex plans, and we're about to spend 2.5 moon landings on AI. Brought to you by:KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace AI Launchpad - Build, test and scale intelligent workloads faster - ⁠⁠⁠⁠⁠⁠⁠http://rackspace.com/ailaunchpad⁠⁠⁠⁠⁠⁠⁠Zencoder - From vibe coding to AI-first engineering - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://zencoder.ai/zenflow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Optimizely Agents in Action - Join the virtual event (with me!) free March 4 - ⁠https://www.optimizely.com/insights/agents-in-action/⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Build an AI workforce at scale - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LandfallIP - AI to Navigate the Patent Process - https://landfallip.com/Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://pod.link/1680633614⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

Today's Topics:1. Sound Signature Review 6.211 – Dillon DRC308 on the 14.5-in SR-25. Kicking off the SR-25 research progression, the larger brother of the previously evaluated DRC556 is put through its paces on this challenging host. This is the technical discussion to accompany the report published two weeks ago before SHOT show.a. Intro and recap (00:06:03)b. DRC308 physical overview (00:07:57)c. DRC silencer design (00:12:06)d. Hazard Map Brief 8.1.8 (00:17:26)e. System performance (00:25:08)f. Overall thoughts (00:43:33)2. Sound Signature Review 6.212 – Precision Armament TiTrex 300 on 20-in .308 bolt-action. We haven't published a bolt-action report since May of last year! Let's revisit this ubiquitous and useful host platform to examine this highly optimized 3D-printed silencer. The performance is quite interesting! This discussion introduces today's published report. (00:47:26)3. Hunted again with the 300 BLK 6.75-in Sig MCX “LVAW!” Less than a week after my previous report to you in which I took a whitetail doe, I took a spike buck in late season with the same ammunition. Some lessons learned to report! (00:55:57)Sponsored by - Silencer Shop, Top Gun Range Houston, Legion Athletics, Capitol Armory, and the PEW Science Laboratory!Legion Athletics: use code pewscience for BOGO off your entire first order and 20% cash back always!Magpul: Use code PSTEN to receive $10 off your order of $100 or more at Magpul

Lineman Bob joins me to talk about Rick's fence, Clothing optional phone repair, writing a novel and starting the vlog-podcast. Tools to keepin your car: https://geni.us/BoYQSx3 Bob's podcast https://www.youtube.com/@scar-finger/videos  Sign Up For My Free Newsletters: https://www.gardenfork.tv/email/ Here are 2 After Shows for you to check out, please consider becoming a Patron of GF. https://www.patreon.com/posts/138069613  https://www.patreon.com/posts/free-after-show-122506027  Here's one of the many Labs pics I post for patrons: https://www.patreon.com/posts/step-away-and-be-122999799 Please considering supporting the GF world by becoming a supporter on Patreon. You get weekly Labrador and behind the scenes photos and vids, plus the Patron-only GardenFork Radio After Show. :) https://www.patreon.com/gardenfork Check out the new Cool Stuff emails: Cool Stuff #1 https://preview.mailerlite.com/n3c9y8y8a2 Cool Stuff #2 https://preview.mailerlite.com/h7o6t7l9a6   Start your Amazon shopping using our affiliate link: https://geni.us/5UWTG  The Tools I Use: https://geni.us/bXV6a7  GardenFork receives compensation when you use our affiliate links. This is how we pay the bills ;) GF Sweaters and T Shirts https://teespring.com/stores/gardenfork-2 Email me: radio@gardenfork.tv Watch us on YouTube: www.youtube.com/gardenfork Music used on the podcast is licensed by AudioBlocks and Unique Tracks ©2025 GardenFork Media LLC All Rights Reserved GardenFork Radio is produced in Brooklyn, NY

This story sounds like fiction—but it's real, documented, and terrifying. ⚠️ A Chinese Communist Party member, illegally in the U.S., allegedly operated multiple clandestine biolabs—one in rural California and another less than three miles from a major U.S. Air Force base in Las Vegas. Thousands of vials labeled Ebola, COVID, and other pathogens.

We have another short-form, live YouTube episode today, where I dive into questions from listeners. Recently, the most frequently asked questions have been about cholesterol, likely because I often reference my podcast series with Dr. Tom Dayspring, a renowned lipidologist and menopause expert. Join me today to clear away some more of the confusion surrounding cholesterol. IN THIS EPISODE, YOU WILL LEARN: Why comprehensive lipid testing rather than standard testing is essential, post-menopause How menopause impacts women's lipid and triglyceride levels The roles APO B and Lp(a) play in assessing cardiac risk How the cardiac risk of women increases as estrogen declines The cardiac health benefits of monitoring lipids and considering HRT within the first six years of menopause What research studies reveal about how menopause influences cardiovascular risk Connect with Cynthia Thurlow   Follow on X, Instagram & LinkedIn Check out Cynthia's website Submit your questions to support@cynthiathurlow.com Join other like-minded women in a supportive, nurturing community: The Midlife Pause/Cynthia Thurlow  Cynthia's Menopause Gut Book is on presale now! Cynthia's Intermittent Fasting Transformation Book The Midlife Pause Supplement Line Episodes with Dr. Thomas Dayspring: Episode 336: Lipid Masterclass: An Introduction to Lipids and Cholesterol with Dr. Thomas Dayspring Episode 344: Lipid Masterclass: A Deep Dive into Our Cardiovascular Needs with Thomas Dayspring Episode 352: Lipid Masterclass: Apo-B, Labs and Women's Heart Health with Thomas Dayspring Episode 495: Are You At Risk for Dementia? – The Most Overlooked Cholesterol Marker You Need to Know with Dr. Thomas Dayspring