Podcasts about Labs

Labs can bring up a lot of feelings fear, shame, pressure, and confusion. In this episode, Wendy and Jess break down the most important labs to know if you have diabetes, pre diabetes, or high cholesterol, what the numbers actually mean, and what you can do to support them. The goal isn't to make a million changes at once it's to help you feel informed and empowered to advocate for yourself at your next appointment.Work With UsWhether you're trying to make sense of a recent lab result, manage blood sugar, or simply want to build a more informed approach to your nutrition our team is here to help. Our culturally aware and weight-inclusive Registered Dietitian Nutritionists offer personalized virtual counseling, and we accept insurance.Go to diabetesdigital.co/start to book your first appointmentFollow us on Instagram: @diabetesdigitalcoNew episodes every Wednesday

341: Today we're talking about nature's Ozempic, the missing nutrient that can help you detox from microplastic and glyphosate, and if you are still suffering from long COVID or know someone who is, we've got answers for you as well! I'm joined by two guests today, John and David from Mara Labs as they share how their bio-available supplements were created from a pain-to-purpose mission after David's late wife passed from breast cancer and now it's David's mission to spread the word on his discovery of Sulforaphane, Berberine, and what they can do together to help detox, build the gut lining, and strengthen our cells for longevity, weight management, and overall health.  → Check Out https://mara-labs.com & Use Code: DIGEST at checkout for 25% until 3/25/2026   Topics Discussed: → Detoxing from microplastics & glyphosate → Leaky gut fixes → What is sulforaphane? → What is berberine?  → How to lower glucose levels & mimic fasting → How to get into ketosis in 4 hours! → How to block fat cells from forming in your body → How to keep muscle on and still lose weight  → Increase BDNF As always, if you have any questions for the show please email us at digestthispod@gmail.com. And if you like this show, please share it, rate it, review it and subscribe to it on your favorite podcast app.  Sponsored By:  → Check Out https://mara-labs.com & Use Code: DIGEST at checkout for 25% until 3/25/2026   Timestamps: → 00:00:00 - Introduction → 00:01:56 - Meet John & David → 00:04:24 - Broccoli, digestive issues, & sulforaphane → 00:06:49 - Detox pathways → 00:08:45 - NRF2 → 00:11:42 - Sulforaphane impacts → 00:12:38 - Toxin elimination & microplastics → 00:18:39 - Capsule creation → 00:19:38 - Glyphosate → 00:23:51 - Leaky gut → 00:27:51 - Joint inflammation → 00:30:02 - Fasting + insulin resistance → 00:34:21 - Long COVID → 00:39:06 - Results → 00:42:33 - “Nature's Ozempic” → 00:46:17 - Myostatin (GDF-8) → 00:49:42 - Berberine + fat absorption → 00:52:31 - Supplement stacking → 00:55:50 - Nutrition & exercise Further Listening:  → Ways To Help Detox From Heavy Metals | BOK Check Out Mara Labs:  → Check Out https://mara-labs.com & Use Code: DIGEST at checkout for 25% until 3/25/2026   Check Out Bethany: → Bethany's Instagram: @lilsipper → YouTube → Bethany's Website → Discounts & My Favorite Products → My Digestive Support Protein Powder → Gut Reset Book  → Get my Newsletters (Friday Finds) Learn more about your ad choices. Visit megaphone.fm/adchoices

This week I'm welcoming back Pinterest marketing expert Heather Farris to the podcast for a conversation about what's really happening on Pinterest right now, especially if you sell physical products.  Heather first joined me back on episode 385 where she shared some incredibly practical strategies for product-based brands that are using Pinterest to drive traffic and sales.  A lot has changed since then, particularly with Pinterest rolling out more AI-driven tools and features.  In this episode, Heather breaks down what's actually new, what's just a rebrand, and what product-based businesses should be paying attention to right now.  We talk about tools like the new Pinterest Assistant, the growing influence of generative AI on the platform, and what all of this means for brands that make handmade or small batch products.  Heather also shares how businesses can stand out when so much content online is starting to look and feel AI generated. You'll hear practical advice on getting started with Pinterest, optimizing your product listings, tapping into trends, and using the platform in a way that actually supports your sales. If you've been wondering whether Pinterest is still worth your time, or if you're adapting to all the new AI changes, this conversation will give you some clarity. Today's episode is brought to you by our Proof to Product LABS coaching program. LABS is where product-based business owners come to get support with real decisions behind growing their business.  We're talking sales, marketing, operations, and just being in community with other people who understand what you're going through. Inside of LABS, we do talk about things like using Pinterest to drive direct-to-consumer sales, building out welcome sequence sequences for your emails, cleaning up your bookkeeping systems, and a whole lot more. Plus, you'll find us doing website audits, peer masterminds, and coaching calls with me. Join us! REQUEST YOUR INVITATION You can view full show notes and more at http://prooftoproduct.com/434  Quick Links: Free Wholesale Audio Series Free Resources Library Free Email Marketing for Product Makers PTP LABS Paper Camp

We open up a rapid-fire Q&A on women's health, faith, and practical habits that move you from “normal” labs to real energy. We clear up perimenopause vs menopause, expose hidden drivers of hormone chaos, and teach cycle-based training, food upgrades, and lab literacy.Get your bottle of Omega Lift today! https://shop.fasttofaith.com/product/omega-lift• redefining health beyond diagnoses and hospital ranges• censorship of wellness info and why alternatives matter• how to ask questions via site chatbot and sisterhood• optimal labs vs normal labs and what to request• perimenopause and menopause explained without myths• environmental toxins, seed oils and endocrine disruption• real food basics, protein and healthy fats as inputs• cycle-based training: when to push and when to rest• tracking patterns in hunger, creativity and recovery• Lent, fasting and suffering well with purpose• why community support accelerates change and trust• scripture-led mindset for calling and consistencyJoin our five-day challenge for $5 or hop into the Fast of Faith program inside our private app. “Please look at that little chat bot on the bottom of all of our episodes.”If you're ready to stop trying harder and start healing smarter, your first step is Empowered by Faith — the 5-Day Reset.This self-paced experience will help you regulate your nervous system, stabilize your metabolism, and realign your identity in Christ through simple, faith-centered rhythms.This is where women begin.

In this episode, I'm joined by David Roberts and Dr. John Gildea, co-founders of Mara Labs, for a powerful conversation about how breast cancer changed their lives and led them to create a mission-driven supplement company rooted in science. David shares how his wife, Maura, was diagnosed with breast cancer and how that journey pushed them to look beyond conventional options and explore an integrative path. Dr. John Gildea shares how his own wife's diagnosis years earlier led him deeper into cancer research, natural compounds, and the mechanisms that may support the body in a meaningful way. We talk about sulforaphane, broccoli sprouts, curcumin, inflammation, detox pathways, microplastics, stress, and why reducing your toxic burden matters. This conversation is full of both heart and science, and I know it will leave you thinking differently about what real support can look like after a diagnosis. If you've ever felt overwhelmed by supplements, confused by conflicting information, or like you needed more empowering options in your healing journey, this episode is for you. Use my discount code and shop Mara Labs here: 20% off - NotTodayCancer In this episode, we cover: How Mara Labs was born from two families impacted by breast cancer The story behind David's wife, Maura, and the mission that continues through this company Dr. John Gildea's background in cancer metastasis research What sulforaphane is and why it gets so much attention The difference between broccoli, broccoli sprouts, glucoraphanin, and sulforaphane Why Mara Labs focused on creating a stabilized form How sulforaphane may support inflammation, detoxification, gut health, and brain health Why curcumin and sulforaphane are two of their top foundational supplements The role stress may play in health and healing Why lowering toxic burden matters after a diagnosis Thoughts on estrogen metabolism, inflammation, and common supplement questions Their perspective on berberine, blood sugar, sleep, and GLP-1 support Simple changes someone can start making right away after a diagnosis A few key takeaways: You do not have to change everything overnight Lowering stress matters just as much as improving nutrition Clean food, movement, and reducing exposure to everyday toxins can make a real difference Not all supplements are created equally The most powerful companies are often built from personal mission and lived experience Resources mentioned: Mara Labs supplements - Use code NotTodayCancer for 20% off ***** Im currently taking: Broccoli Plus, CurcElite & BerberElite Connect with Mara-Labs Instagram here: https://www.instagram.com/themaralabs/ Email Me – coachjennyd@gmail.com If this episode encouraged you, send it to a friend, share it to your Instagram stories, and tag me so I can see what resonated most.

Dr. Natalie Crawford, board-certified OB-GYN and REI, answers your fertility questions. 1. When taking a prenatal vitamin, how should we interpret the amount of choline listed on the label? If a prenatal lists 300 mg of choline, is that the full amount counted toward the recommended intake, or does it refer to elemental choline? 2. Is sucralose safe to consume while trying to conceive or during pregnancy, or should it be avoided? 3. I've heard that high levels of biotin can interfere with certain blood tests. If a prenatal contains 1000 mcg of biotin and someone is going through IVF with frequent lab work, is that amount considered too high? Should they consider switching prenatals? 4. I'm 38, recently diagnosed with PCOS, and have experienced eight miscarriages. I've also been told I have a weak and shortened cervix and have already had a vaginal cerclage twice without success. Are there any additional options or treatments that could be considered? 5. I'm 38 and recently had a baby conceived naturally, though it took some time to get pregnant. I know the general recommendation is to wait about 18 months before trying to conceive again, but I'm worried that waiting too long could make it harder to get pregnant because of my age. How should someone balance recommended spacing between pregnancies with age-related fertility considerations? Pre-order Dr. Crawford's debut book, The Fertility Formula, now! https://www.nataliecrawfordmd.com/book Want your questions answered on the next episode? ⁠Ask them here! https://www.nataliecrawfordmd.com/qa-submissions Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's news, we hit Ark Labs raising from Tether, CleanSpark and Two Primes' take on Bitcoin price action, and how the IRS is trying to get more info about your digital asset stack. Get your tickets to OPNEXT 2026 before prices increase! Join us on April 16 in NYC for technical discussions, investor talks, and intimate conversation with the brightest minds in Bitcoin. Welcome back to Blockspace! Today, Alex B, Ecosystem Lead at Ark Labs joins us to talk about their massive $5.2M raise led by Tether and the push for programmable finance on Bitcoin. We also sit down with Rory Murray of CleanSpark and Alex Bloom of Two Prime to discuss the "beach ball" state of the market and how institutional lenders are navigating high volatility. Finally, we expose the IRS's new 1099-DA form "perjury trap" and settle the debate on when the 20 millionth Bitcoin was actually mined. Subscribe to the newsletter! https://newsletter.blockspacemedia.com Notes: * Ark Labs raised a $5.2M seed round led by Tether. * Bitcoin rose 10% in five days, hitting $74,000. * US stock market lost $1 trillion in a single day. * Hash price sits near an all-time low of $27. * The 20,000,000th Bitcoin was mined this week. * IRS Form 1099-DA is labeled a "perjury trap." Timestamps: 00:00 Start 01:55 Bitcoin price action 04:29 Hashrate Index update by Luxor 08:58 Ark Labs seed round 30:43 CLSK & Two Prime 46:50 Luxor & ASIC prices 1:00:33 IRS trap 1:07:45 Binance & CZ 1:19:39 Cry Corner: 20M BTC Mined

Dave Crosland and Scott McNally have new information about the suspected testosterone raw powder situation. After speaking with several labs and contacts in China, we're seeing lab reports showing underdosed products and hearing that raw production may currently be restricted. This is a short breaking update episode with the latest information. Chapters below. 0:00 Important Update — Don't Panic, But Know What's Happening 1:00 Contaminated or Underdosed Testosterone Raw Powders 1:40 Bloodwork Showing Unexpectedly Low Testosterone 4:30 “No Steroid Raw Production in China Right Now” ? 7:50 Why 92% Purity Can Be a Big Problem 9:45 Source Board Supermod Reports Returning Market Instability 15:00 Have You Experienced This? Let Us Know 17:30 What Happens If the Raw Powder Supply Is Disrupted? 22:50 Why You Should Be More Careful Right Now Support the Podcast Patreon — Help keep the show growing. Even $5/month makes a difference. https://www.patreon.com/thinkbigbodybuilding Sponsors TRUE NUTRITION — Custom supplements for serious lifters Use code THINK to save https://www.truenutrition.com/THINK STROM SPORTS — Performance supplements trusted by athletes UK: https://tinyurl.com/ydmbfa54 US: https://stromsportsus.com Supplement Source Canada — Top brand supplements with fast shipping http://www.supplementsource.ca Merch Official THINK BIG Merch — Train, represent, support the brand https://think-big.printify.me/products

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Join us as Ed Mehr, Co-founder of Machine Labs, explains how he's building the "software-defined factory." We dive into how robotic-powered automation and strategic partnerships are enabling manufacturers to switch product lines instantly and future-proof hardware production. Discover how Machine Labs is transforming manufacturing with flexible, robotic-powered factories that can switch products instantly. In this episode, Ed Mehr shares insights on software-defined factories, advanced automation, and strategic partnerships shaping the future of hardware production. Learn more at: https://machinalabs.ai/ Show timeline 0:30 - Gene Demaitre recaps Autonomation World 2026 9:43 - News of the week 26:27 - Ed Mehr, co-founder and CEO of Machina Labs ### – SPONSOR – Download the 2026 State of the Robotics Industry Report: https://www.therobotreport.com/state-of-robotics-industry-report-2026/

In this episode, Lex chats with Alex Gluchowski — Cofounder and CEO of Matter Labs, about the transformative impact of zero-knowledge proofs (ZK proofs) on blockchain scalability and privacy. They discuss Matter Labs' evolution, the development of zkSync, and how ZK proofs enable secure, private, and efficient blockchain transactions. The conversation explores enterprise adoption, regulatory shifts, and the potential for blockchain to revolutionize global finance by enabling privacy-preserving, interoperable networks anchored to Ethereum, ultimately highlighting the growing role of cryptography in advancing financial sovereignty and innovation. NOTABLE DISCUSSION POINTS: Incorruptibility is Blockchain's Core Value—Not Consensus: Consensus mechanisms solve network liveness without central operators, but the guarantee that your assets can't be spent without your permission comes from verification. Bitcoin's “don't trust, verify” mantra is literal: every node re-executes every transaction. Zero knowledge proofs achieve the same incorruptibility without requiring universal visibility—enabling both scale and privacy. The Regulatory Shift Has Unlocked an Entirely New Market: The post-Trump regulatory environment represents a “great divide” for crypto. Banks and enterprises that previously couldn't engage are now actively piloting blockchain infrastructure. Matter Labs is working with Deutsche Bank, UBS, and 35+ global financial institutions through initiatives like Presidio Breakthrough. The focus has shifted from building systems to withstand regulatory hostility to integrating crypto into real business processes. Private Enterprise Chains Settling on Ethereum is the Institutional Path: Banks experimented with consortium blockchains (Hyperledger, Corda, R3) for years but failed due to privacy concerns—participants could see each other's transactions. Zero knowledge proofs solve this by enabling private chains that interoperate trustlessly through Ethereum as a shared settlement layer. Each institution maintains sovereignty over its operations while gaining cryptographic guarantees when transacting with counterparties. TOPICS Matter Labs, zkSync, Ethereum, Consensys, Hyperledger, Arbitrum, Optimism, fintech, blockchain, zero-knowledge proofs, ZK proofs, privacy, institutional adoption, scalability, cryptography, interoperability   ABOUT THE FINTECH BLUEPRINT

In this solo episode, Justin breaks down one of the most common operational questions new practice owners ask: how to offer lab testing inside your clinic.He walks through the practical side of setting up lab services in an NP practice, including how providers typically obtain labs, what options are available for newer clinics, and how to do it in a way that is both efficient and financially sustainable. Justin also discusses common mistakes new practice owners make when setting up lab workflows and shares insights on newer solutions that can simplify the process.Whether you're launching your first clinic or looking to improve your current systems, this episode provides a straightforward overview of how to incorporate lab testing into your practice without unnecessary complexity

What happens when a lifelong friendship meets a shared frustration with broken systems? Mike Ranfone and Dr. Marko Lujic did something most people only talk about — they actually built the gym-medical hybrid model that the health and fitness industry has been circling around for years. In this episode, Dr. Lujic opens up about the moment he realized he wasn't practicing healthcare — he was practicing sick care — and how that wake-up call led him and Mike to launch RTS Health in Hampton, Connecticut. Together, they walk us through their full client experience: from DEXA scans and comprehensive biomarker labs to concierge medicine, personalized training, and registered dietitian support — all under one roof for around $1,000/month. They also get real about why collaboration beats territorialism, why most people are "majoring in the minors" when it comes to longevity, and what it actually takes to build a business model at the intersection of fitness and functional medicine. If you've ever felt like the fitness and medical worlds should be talking to each other but aren't — this episode is for you. Episode Takeaways:

In this episode of The Core Connections Podcast, Erica Ziel sits down with Dr. Elena Genik to talk all about thyroid health, including the difference between hypothyroidism and hyperthyroidism, Hashimoto's vs. Graves' disease, why TSH alone is not enough, and the root-cause factors that may be driving thyroid dysfunction. They discuss the role of gut health, nutrient deficiencies, blood sugar imbalance, chronic stress, inflammation, food triggers, and functional lab testing, along with supportive tools like gentle movement, nutrition, and lifestyle changes. If you've ever been told your thyroid labs are "normal" but you still don't feel well, this is a must-listen. Helpful links: Core Rehab Program: www.corerehabprogram.com Knocked-Up Fitness Prenatal Program: https://knocked-upfitness.com Erica Ziel: https://www.ericaziel.com Learn from Dr. Elena Genik: thyroidloveclub.com

March 10, 2026: Your daily rundown of health and wellness news, in under 5 minutes. Today's top stories: Novo Nordisk drops patent case against Hims & Hers as companies reach agreement for Hims to offer FDA-approved Ozempic and Wegovy at standard pricing Whoop introduces hormone biomarker testing for 11 hormonal markers combined with wearable data and AI-driven insights as women become fastest-growing user segment Fitt Insider releases Scouting Report highlighting 50 early-stage startups shaping wellness across mental, physical, social, environmental, and existential health Today's episode is brought to you by AIIR — a modern communications and experiential agency for health, wellness, fitness, and performance brands. From earned media to events and creator-led campaigns, AIIR helps companies sharpen their story, earn attention, and build trust that compounds. Visit aiir.agency to learn more. More from Fitt: Fitt Insider breaks down the convergence of fitness, wellness, and healthcare — and what it means for business, culture, and capital. Subscribe to our newsletter → insider.fitt.co/subscribe Work with our recruiting firm → https://talent.fitt.co/ Follow us on Instagram → https://www.instagram.com/fittinsider/ Follow us on LinkedIn → linkedin.com/company/fittinsider Reach out → insider@fitt.co

Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

If your labs are "normal" but you still feel bloated, foggy, tired, wired, inflamed, or subtly off — this episode is for you. In this episode, Dr. Connie Cheung explains the missing integration that keeps high-functioning women stuck in a suffering loop: treating symptoms separately while the upstream system remains unstable. You'll learn: ✔ Why bloating, brain fog, poor sleep, weight changes, and low energy are often connected ✔ How chronic nervous system readiness shifts blood flow, digestion, sleep, inflammation, and cognition  ✔ Why medicine and wellness both miss this intersection ✔ Why smart, disciplined women keep wasting time solving the wrong layer ✔ What actually has to change for the body to repair This is not generic gut talk. This is system-level physiology for women who are still functioning, still performing, and still quietly feeling off. If you're tired of managing symptoms instead of understanding the pattern underneath them, this episode will connect the dots. Join the free live training on March 12: → https://www.easeossystems.com/ease-os-3day-training-gut-brain-stability Be sure to subscribe to our podcast and YouTube channel so you never miss an episode of the EASE OS: Less Effort, More Power! We release new episodes every week. Click here to subscribe to our podcast on iTunes: Apple Podcast: EASE OS™: Less Effort, More Power Click here to subscribe to our podcast on Spotify: Spotify: EASE OS™: Less Effort, More Power And if you liked this message, please leave us a review on iTunes!. Be sure to follow Dr. Connie on Instagram and Tiktok! Instagram: @drconniecheung  TikTok: @drconniecheung_ LinkedIn: Dr. Connie Cheung

Labs and Tom talk about NFL free agency and the Steelers moves, then get to questions.See omnystudio.com/listener for privacy information.

Mardi 10 mars, François Sorel a reçu Amélie Charnay, journaliste La Tribune, Michel Levy Provençal, prospectiviste, fondateur de TEDxParis et de l'agence Brightness, et Thomas Serval, PDG de Baracoda. Ils sont revenus sur la levée de fonds d'un milliard de dollars de la startup de Yann LeCun, et notamment les salariés de Google et d'OpenAI qui soutiennent Anthropic, dans l'émission Tech & Co, la quotidienne, sur BFM Business. Retrouvez l'émission du lundi au jeudi et réécoutez la en podcast.

welcome to wall-e's tech briefing for tuesday, march 10th! delve into today's key tech developments: ami labs' major funding round: yann lecun's ami labs secures $1.03 billion at a $3.5 billion pre-money valuation, with plans to innovate "world models" ai systems aimed at sectors like healthcare. founders fund's fourth growth fund: peter thiel's founders fund is near completing a $6 billion fund, highlighting direct investments in ai leader, anthropic. coruna iphone-hacking toolkit: linked to russian spies and traced to u.s. military contractor l3harris, raising concerns over surveillance tool distribution. archer aviation vs. joby aviation: legal battle ensues over alleged fraudulent practices and foreign influences concerning chinese suppliers and u.s. government contracts. anthropic's ai code review tool: launches a new enterprise tool to enhance software development quality by identifying logical errors in ai-generated code. stay tuned for tomorrow's tech updates!

Air quality is an often-overlooked factor that can significantly impact patient outcomes. In this episode of the Healthcare Success Podcast, Stewart Gandolf speaks with Katy Worrilow, Founder and Chief Scientific Officer of LifeAire Systems, about how unexplained fluctuations in IVF pregnancy rates led to the discovery that airborne contaminants were affecting embryo viability. Katy explains how this insight led to the development of a technology designed to destroy airborne pathogens rather than simply capture them—an innovation now being used in IVF labs, operating rooms, NICUs, senior living communities, and other healthcare environments.

Saurabh Shintre, Founder and CEO of Realm Labs, is on Defender Fridays today to discuss securing AI from within.Saurabh previously led the AI security research at Splunk and Symantec. He has been at the forefront of AI security research for nearly a decade with multiple publications and patents and regularly features on public forums on issues regarding security and AI. Saurabh holds a PhD from Carnegie Mellon. Learn more at https://www.realmlabs.ai/Register for Live SessionsJoin us every Friday at 10:30am PT for live, interactive discussions with industry experts. Whether you're a seasoned professional or just curious about the field, these sessions offer an engaging dialogue between our guests, hosts, and you – our audience.Register here: https://limacharlie.io/defender-fridaysSubscribe to our YouTube channel and hit the notification bell to never miss a live session or catch up on past episodes!Sponsored by LimaCharlieThis episode is brought to you by LimaCharlie, a cloud-native SecOps platform where AI agents operate security infrastructure directly. Founded in 2018, LimaCharlie provides complete API coverage across detection, response, automation, and telemetry, with multi-tenant architecture designed for MSSPs and MDR providers managing thousands of unique client environments.Why LimaCharlie?Transparency: Complete visibility into every action and decision. No black boxes, no vendor lock-in.Scalability: Security operations that scale like infrastructure, not like procurement cycles. Move at cloud speed.Unopinionated Design: Integrate the tools you need, not just those contracts allow. Build security on your terms.Agentic SecOps Workspace (ASW): AI agents that operate alongside your team with observable, auditable actions through the same APIs human analysts use.Security Primitives: Composable building blocks that endure as tools come and go. Build once, evolve continuously.Try the Agentic SecOps Workspace free: https://limacharlie.ioLearn more: https://docs.limacharlie.io/Follow LimaCharlieSign up for free: https://limacharlie.io/LinkedIn: / limacharlieio X: https://x.com/limacharlieioCommunity Discourse: https://community.limacharlie.com/Host: Maxime Lamothe-Brassard - CEO / Co-founder at LimaCharlie

幻冬舎の暗号資産（仮想通貨）/ブロックチェーンなどWeb3領域の専門メディア「あたらしい経済 https://www.neweconomy.jp/ 」がおくる、Podcast番組です。 ーーーーー 【番組スポンサー】 この番組は、暗号資産取引におけるフルラインナップサービスを提供する「SBI VCトレード」のスポンサーでお届けします。 ーーーーー SBI VCトレードは、「暗号資産もSBI」のスローガンのもと、国内最大級のインターネット総合金融グループであるSBIグループの総合力を生かし、暗号資産取引におけるフルラインナップサービスを提供しております。暗号資産交換業者・第一種金融商品取引業者・電子決済手段等取引業者として高いセキュリティ体制のもと、暗号資産の売買にとどまらない暗号資産運用サービスや法人向けサービスの展開、さらにステーブルコインのユーエスディーシー（USDC）を国内で初めて取り扱っております。 ーーーーー SBI VCトレード公式サイト：https://account.sbivc.co.jp/signup?hc_ak=1RNML.3.M06AS ーーーーー 【紹介したニュース】 ・アライドアーキテクツがPG Labsと提携、日本企業のオンチェーン実装事業を本格推進で ・LINE NEXT、ステーブルコインウォレット「Unifi」を正式ローンチ。USDTから対応開始 ・米フロリダ州、ステーブルコイン規制枠組み法案を可決。インディアナ州では年金で暗号資産投資選択肢提供へ ・韓国、法人の暗号資産投資解禁へ。ステーブルコインは対象外か＝報道 ・米国初、ポルカドット（DOT）現物ETFがナスダックに上場、21シェアーズ組成 ・カザフスタン中銀、金・外貨準備から最大3.5億ドルを暗号資産関連投資へ ・米連邦地裁、バイナンスとCZへのテロ資金訴訟を棄却 ・トークン化株式「xStocks」、オンチェーン取引エンジン「xChange」提供開始 ・MEXC、オンドファイナンスのトークン化米国株を取扱開始、防衛・エネルギー分野7銘柄 ・クロスミント、ソラナ基盤ステーブルコイン「USDPT」展開支援へ、ウェスタンユニオンと提携 ・コインチェックG、デジタル資産運用会社3iQ買収完了 【あたらしい経済関連リンク】 ニュースの詳細や、アーカイブやその他の記事はこちらから https://www.neweconomy.jp/

Tristan sits down with Anders Swanson, a developer experience advocate at dbt Labs, to talk about the state of the Apache Iceberg ecosystem. They unpack the "open standards" shift, define the core building blocks (query engines, object stores, catalogs), and dig into why external catalogs have become a fourth namespace tier across platforms. Anders outlines a pragmatic, phased adoption model for Iceberg integrations, explains why metadata performance and resiliency are hard requirements, and clarifies why vended credentials exist and what they solve. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

The hosts sync up again with Tal Kocen and Dave Friesema of Dark Matter Audio Labs in Episode 319 to see what they've been up to as they start off their second year as Dark Matter with a bang — albeit a safe and quiet one, thanks to their new hearing protection offerings. Hearing protection and safety is a subject we come back to semi-regularly on Signal to Noise because it's so important, so we're excited to see another great option, and hear about what makes these different.The gang didn't stop at earplugs, though–they also learned all about the “hows and whys” of Dark Matter's new ambient IEM offerings (and what they have in common with earplugs), as well as an overview of what their different models sound like and who each one is best suited to, why to choose custom models over universal-fit (or why not to), and more.Dave and Tal also let us in on some late breaking news, that they're starting to offer universal-fit versions of their custom products. Finally, they shared a special bonus offer for Signal to Noise listeners of 15 percent off any purchases from Dark Matter with discount code “S2N15”.NOTE: If you're in the NYC area this weekend — March 7-8 — Dark Matter and sibling company Dekoni Audio are sharing a space at the CanJam headphone show, where they'll have demo models of all their IEMs, and be taking impressions for custom models right on site! You might even catch Andy stopping by to visit on Saturday…Episode Links:CanJam NYC 2026STN Episode 297: Healthy Ears, Limited AnnoyanceSTN Episode 285: Dark Matter Audio LabsSTN Episode 177: Hearing Health MattersSTN Episode 152: Dr. Heather Malyuk, Soundcheck Audiology – “All Ears Are Famous”Episode 319 TranscriptConnect with the community on the Signal To Noise Facebook Group and Discord Server. Both are spaces for listeners to create to generate conversations around the people and topics covered in the podcast.Also please check out and support The Roadie Clinic, Their mission is simple. “We exist to empower & heal roadies and their families by providing resources & services tailored to the struggles of the touring lifestyle.”The Signal To Noise Podcast on ProSoundWeb is co-hosted by pro audio veterans Andy Leviss and Sean Walker.Want to be a part of the show? If you have a quick tip to share, or a question for the hosts, past or future guests, or listeners at home, we'd love to include it in a future episode. You can send it to us one of two ways:1) If you want to send it in as text and have us read it, or record your own short audio file, send it to signal2noise@prosoundweb.com with the subject “Tips” or “Questions”2) If you want a quick easy way to do a short (90s or less) audio recording, go to https://www.speakpipe.com/S2N and leave us a voicemail there.

Erik from Root Simple joins me to talk about his free 3D printer, the challenges of using it, why I want one, and making chairs from scratch.  Erik's site is at www.rootsimple.com  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

An in-depth discussion with serial entrepreneur Andrew Ackerman. As the CEO/Founder of Reach Labs, he shares essential knowledge and steps for small business startups. His book, "The Entrepreneur's Odyssey, is described as "Lean Startup meets The Alchemist."

Is the Instagram algorithm really killing your reach or is that just the story the online business world keeps repeating? In this episode, we break the spell around blaming the Instagram algorithm and unpack what actually drives social media growth, engagement, and visibility in today's digital landscape. If you're a coach, entrepreneur, or online business owner frustrated with declining reach or inconsistent engagement, this conversation will change how you think about content strategy, audience behavior, and social media marketing. Joining the conversation is Inge Hunter, founder of Clue Labs, an innovative AI-powered platform designed to help businesses understand what their audience truly wants to engage with. Instead of guessing what to post next, Clue Labs analyzes audience behavior, engagement patterns, and content signals to provide data-driven social media strategy insights. Because the truth is simple: The algorithm isn't the enemy.It's a mirror. And when you understand how social platforms actually work, you stop chasing reach and start building real authority online.  What You'll Learn in This Episode • Why blaming the Instagram algorithm keeps entrepreneurs stuck • The real reason social media reach fluctuates • How audience behavior shapes algorithm visibility • Why most businesses are guessing their content strategy • How AI tools like Clue Labs are changing social media marketing • The intersection of creativity, psychology, and algorithm architecture • How to create content that drives engagement, growth, and conversions  About the Guest Inge Hunter is the founder of Clue Labs, an AI-powered social media platform helping businesses remove the guesswork from their content strategy. With a background in psychology and business management and over a decade in the social media industry, Inge developed Clue Labs to help entrepreneurs.  Clue Labs reads your social media data and tells you exactly what to post next: the format, hook, timing, and caption; with reasoning behind every recommendation.No gurus. No gut feelings. No generic AI output. Just a clear, data-led plan built from what your audience is already telling you.Built to grow your: Brand awareness | Audience | Engagement | Conversion https://cluelabs.co.uk/Allera DawnTransformation & Business Coach for High Achievers.FOR COACHES, FOUNDERS & ENTREPRENEURSHelping You Build Profitable & Purpose Led Businesses with Soul  Learn about Business Mentorship Pathways here:https://www.alleradawn.com/home-pageBook A Business Exploration Call: https://calendly.com/alleradawn/15minDownload Free: Inner CEO Blueprinthttps://www.alleradawn.com/the-inner-ceo-blueprint  

no stamps. must be wesday.

S5;E217 David interviews the founders of 2  Life Science portfolio companies that have been around for a while and have made significant progress in their GTM strategies. Both have been previously profiled in detail, Redbud Labs for E138 in Sep24 and Adovate for E184 in Aug25. Thus today's interviews are updates on the progress they've made against their GTM strategies. (recorded 2.18.26)Follow David on X at https://x.com/DGRollingSouth Connect On LinkedIn with David at https://www.linkedin.com/in/davidgrisell/ Follow Paul on X at https://x.com/PalmettoAngel Connect On LinkedIn with Paul at https://www.linkedin.com/in/paulclarkprivateequity/ We invite your feedback and suggestions at www.ventureinthesouth.com or email david@ventureinthesouth.com.

Plus: Elliott Investment Management invests $1 billion in Pinterest. And Ziff Davis has struck a $1.2 billion deal to sell its connectivity division to Accenture. Danny Lewis hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Hey, friend. I'm pulling an amazing episode from the archives with over 430 episodes here on the Proof to Product podcast. There is a gold mine of information for you to help you grow your business, and, frankly, it can be hard to take it all in. Today's episode is a look back at an interview I did with Seth Godin who needs no introduction, but it would be a complete disservice to not share all of his accolades.  He's an author, entrepreneur, and most of all, a teacher.  In addition to launching one of the most popular blogs in the world, he has written 22 best-selling books, including The Dip, Linchpin, Purple Cow, Tribes, and This is Marketing, which was an instant bestseller in countries around the world.  His latest book, This is Strategy: Make Better Plans offers readers a practical framework for what an effective strategy looks like and feels like in today's fast-moving chaotic, and diverse world. This strategy allows readers to zoom out and see the bigger picture and understand the systems that are shaping their lives at work, in business, and day-to-day challenges.  Seth contends that by recognizing and mastering these systems and prioritizing long-term thinking over instant gratification, we can make smart, purposeful choices today that will lead to long-term growth. In my conversation with Seth, he shares his motivation for writing this book, the four elements that are critical for an effective strategy, and the importance of identifying and connecting with our smallest viable audience. On a personal note, when I started my product business in 2008, Seth's work was a major catalyst in helping me gain marketing momentum. He has a no-nonsense approach. He's concise and clear with his thoughts, and that resonates and gets your wheels turning, which you will hear in today's episode. Today's episode is brought to you by our Proof to Product LABS coaching program. This is a coaching program specifically built for product-based business owners, with members from across industries and across the globe. We have member-only events inside of LABS, so request your invitation to join below!  REQUEST YOUR INVITATION You can view full show notes and more at http://prooftoproduct.com/367  This episode contains affiliate links. You can view our affiliate disclaimer here. Quick Links: Free Wholesale Audio Series Free Resources Library Free Email Marketing for Product Makers PTP LABS Paper Camp  

If you're eating clean, managing stress, and doing everything "right" — but your body still feels bloated, wired, tired, foggy, or subtly inflamed — this episode is for you. Many high-functioning women experience:

Labs and Tom wrap up the combine, discuss upcoming free agency and then get to this weeks questions.See omnystudio.com/listener for privacy information.

What happens when AI becomes the primary economic actor?  In this conversation, Sean Neville (cofounder of Circle, architect of USDC, and now cofounder of Catena Labs) shares his vision for the next phase of the internet: an agent-native economy powered by programmable dollars and AI banks.  As stablecoins put dollars on internet rails, a new question emerges: what happens when AI agents start earning, spending, lending, investing — and even managing our assets — on our behalf?  From KYA (“Know Your Agent”) to programmable spending policies to secure agent communication standards, this conversation explores the foundational layers that must be built before AI can safely participate in the global economy.  Sean breaks down:  Why he believes AI agents could become the dominant economic participants What an “AI-native bank” actually is (and why we'll need one) The missing infrastructure required for safe agent-to-agent payments How cryptography can encode trust directly into software Why current financial risk systems are designed to block bots — and what needs to change The fragmented race to define standards for agent identity, payments, and communication- Lessons from building Circle and launching USDC Why he doesn't love the term “stablecoin” Follow a16z crypto for more...  X: https://x.com/a16zcrypto LinkedIn: https://www.linkedin.com/showcase/a16zcrypto/posts/ YouTube: https://www.youtube.com/@a16zcrypto

Jaeden & Jamie explore Anthropic's accusations against Chinese AI labs for allegedly using their Claude model to train their own. They discuss the implications of this 'distillation' technique, the ongoing debate around AI model competition, and how open-source models offer an affordable alternative for users and innovators.Our Skool Community: https://www.skool.com/aihustleGet the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiWatch on YouTube: https://youtu.be/tCbLDDaAIbMChapters00:00 Anthropic's Accusations and AI Drama04:40 The Distillation Method and Its Implications10:02 Open Source AI Models: A Threat or Opportunity?15:00 The Future of AI: Censorship and Innovation

Have you ever been told your labs are "normal"… but you still feel off? In this episode, Lynne sits down with Katie Hardie, a board-certified holistic nutritionist and FDN practitioner, to unpack what so many midlife women experience: symptoms that don't always show up clearly on standard bloodwork. Katie explains the difference between standard lab ranges (which are designed to identify dysfunction) and functional optimal ranges (which are designed to support how you actually feel). They discuss why it's worth advocating for more comprehensive testing, how inflammation can play a role in midlife symptoms, and why stress support — including simple breathing tools — can be a game-changer for overall wellbeing. They also touch on hormone profiling options like the DUTCH Plus test, and why ongoing support and education can help women feel more confident and less stuck when navigating perimenopause and midlife changes. What You'll Learn ·         How to start listening to your body's signals in midlife ·         Standard lab ranges vs functional optimal ranges ·         Why symptoms matter even when labs look "normal" ·         Inflammation support through food (simple starting points) ·         Stress physiology and how it can show up (sleep, anxiety, fatigue) ·         Simple breathing practices for nervous system support ·         DUTCH Plus test overview for hormone + cortisol patterns

Life 3 Years After Stroke: Three years ago, Pete Rumple was in a hospital bed, weighing 337 pounds, unable to walk, unable to talk, and completely paralysed down his right side following a massive hemorrhagic stroke. He was on 17 medications and had just spent his first night as a wheelchair user. By his own admission, the first year was so dark that he didn’t want to live. Today, Pete does CrossFit every day, has lost 150 pounds, is off 15 of his 17 medications, and is about to launch a new business at 61 years old. This is what life 3 years after a stroke can look like and, more importantly, how Pete got there. The First Decision: Control What You Can Within days of his stroke, while still in the hospital, Pete made a choice. He couldn’t walk. He couldn’t use his right arm. Doctors were managing everything around him. But he could control one thing: what he ate. “I got to change everything,” he says. “And as I lay there, this was one thing I could control with all the things I couldn’t.” Pete reduced his intake to two or three bites of food per day. By the time he left the hospital 30 days later, he had lost 40 pounds. That single decision became the foundation of everything that followed. For anyone newly out of the hospital and feeling overwhelmed, this is perhaps the most important message: you don’t have to fix everything at once. Find one controllable. Start there. Books like Grain Brain by Dr David Perlmutter and Why We Get Sick by Benjamin Bikman are excellent starting points for understanding the role of nutrition in brain recovery; both are recommended in this episode.   Movement: From Water to CrossFit Pete’s physical recovery moved in deliberate stages. With right-side proprioception severely affected, his body couldn’t properly sense where it was in space land-based exercise felt impossible at first. The solution was water. “The water surrounds you,” Pete explains. “It’s easier to move with what we both have.” He spent nearly a year in the pool doing aquatic therapy, then transitioned to a gym with a personal trainer for four months, then, in April 2024, ditched his cane and started CrossFit. He now attends every day, with about 30% modification. The journey from wheelchair to CrossFit wasn’t fast, and it wasn’t linear. But it was intentional.   The Brain Science Behind Doing Hard Things One of the most fascinating parts of Pete’s recovery is how he used neuroscience to drive his progress. After watching a Huberman Lab episode featuring David Goggins, he learned about the anterior mid-cingulate cortex (AMCC), a region of the brain that grows and strengthens specifically when you do things that are difficult and unpleasant. “Everything I did not enjoy or created pain, I’m doing it.” This wasn’t masochism. It was a strategy. Pete began deliberately choosing the exercises, behaviours, and tasks he least wanted to do and watched his recovery accelerate as a result. His speech improved. His movement improved. His cognitive function came back faster. Bill adds important context here: when you visualise movement, your brain fires the same neural pathways as when you physically perform it. Pete used this daily, studying his CrossFit workout the night before, visualising each exercise, then arriving 30 minutes early to breathe and mentally rehearse before training. This is neuroplasticity working for you, not against you. The choice is yours: choose the hard that rewards you, or endure the hard that doesn’t.   Identity: Three Words That Changed Everything Beyond the physical, Pete’s recovery demanded a complete rebuild of who he was. An executive career was gone. Independence had been stripped away. The personality and habits that contributed to the stroke, such as overworking, overeating, and using alcohol to manage stress, needed to be replaced, not just removed. He approached this the way he’d approached business: with a framework. At any given time, Pete identifies three words that define who he is. Right now: resilient, consistent, and unafraid. “I try to be honest with myself and say, where am I now?” he explains. “And it may change, but it gives me something to triangulate toward.” This kind of identity-based self-management, knowing who you are deciding to be, not just what you are trying to do, is one of the most transferable lessons from Pete’s story. What Life 3 Years After Stroke Really Looks Like Pete’s neurologist, who once saw him quarterly, recently told him she doesn’t need to see him annually anymore. “We have not seen this kind of recovery before from what you had,” she said. He’s about to start a fractional leadership business with a former CFO. He does CrossFit every day. He sleeps well. He volunteers. He uses AI tools to stay sharp and curious. He is, as he puts it, “on the other side of it.” But he’s also clear-eyed about what’s ahead: returning to high-stakes work, managing the stressors that contributed to his stroke in the first place, and monitoring the potholes that come with re-entering a demanding professional world. “I realise that is a very real risk,” he says. “I’m going to test and learn.”   The Lily Pad Principle When asked how to frame the journey for people still in the early stages, Pete offers one of the most useful images in this entire conversation: “It’s like lily pads across the lake. Get to a lily pad, then get to the next one. Don’t worry about boiling the ocean. Don’t worry about what it’s going to be in months or a year. Step by step. Keep pushing.” That is life 3 years after stroke, not a finish line, but a direction. And for Pete Rumple, the direction is forward.   Want more stories like this? Read Bill’s book recoveryafterstroke.com/book | Support the show: patreon.com/recoveryafterstroke   Disclaimer This blog is for informational purposes only and does not constitute medical advice. Please consult your doctor before making any changes to your health or recovery plan. From Wheelchair to CrossFit: Life 3 Years After a Massive Hemorrhagic Stroke Pete Rumple lost 150 lbs, ditched the wheelchair, and now does CrossFit at 61. Here’s what life 3 years after a stroke really looks like. Turnto.ai InterviewPeter Rumple Interview EP 332Turnto.ai discount code: Bill10Highlights: 00:00 Introduction to Life 3 Years After Stroke Recovery Journey05:31 Physical Recovery and Rehabilitation11:05 Dietary Changes and Weight Loss15:42 Medication Management and Health Improvements21:29 The Role of Visualisation in Recovery26:03 Embracing Discomfort for Growth33:31 The Power of Hard Work and Persistence40:53 The Journey Back to Work50:48 Navigating Health Challenges56:25 Resilience and Consistency in Recovery01:04:38 Proactive Health Management01:15:11 Defining Identity Through Resilience Transcript: Introduction to Life 3 Years After Stroke Recovery Journey Pete Rumple (00:00)And Bill, I want to take a second and plug your book back in the first ⁓ the first session I did with you, I referenced a number of things you taught me through the podcast that I did to make to start building momentum like the cooking dinner every day was the to do. That was your mission. Yeah. so much of what I’ve learned from you, the podcast and what’s inevitably in the book was a great starting point for me. And I built my, my stuff on top of it, but it was really great to stand on your shoulders and get, and get that lift. Bill Gasiamis (00:44)Hi everyone, before we get into Pete’s story and you are definitely going to want to hear this one. I want to share something I’ve been using myself that I genuinely think could help a lot of you. It’s called turn2.ai and it’s an AI health sidekick that keeps you up to date with personalized updates every single week. Did you know there were over 800 new things published every week related to stroke? Research, expert discussions. patient stories, clinical trials, events. It’s an enormous amount of information. Turn2 finds what’s most relevant to you and delivers it straight to your inbox. I use it myself and it’s genuinely my favorite tool for 2026 for staying across what’s new in stroke recovery. It’s low cost and completely patient first. You can try it for free. And when you’re ready to subscribe, you can use my code, BILL10, at turn2.ai slash sidekick slash stroke to get a discount. I earn a small commission if you use that link at no extra cost to you. And that helps keep this podcast going. Also, if you haven’t yet, pick up a copy of my book, head to recoveryafterstroke.com/book. Real stories, real tools. The same stuff Pete and I talk about today and a huge thank you to everyone supporting us on Patreon and in the other ways that you support the show and myself. You’re the reason this content stays free for the people who need it You can support the show at patreon.com/recoveryafterstroke. Right. Let’s get into Pete Rumple’s story. Massive hemorrhagic stroke. Wheelchair couldn’t walk or talk 337 pounds three years later. He does CrossFit every day So you’re gonna want to hear this one. Let’s get into it Bill Gasiamis (02:35)Pete Rumpel, hello, welcome back. Pete Rumple (02:38)Hey Bill, it’s great to see you again. Bill Gasiamis (02:41)Great to see you too, my friend. ⁓ Last time we met was about a year ago. And this is gonna be a slightly different episode because we’re gonna talk about what things were like then and then what they’re like now, just so that we can paint a picture for people about how recovery has gone, what happened in the last 12 or so months. And in the previous episode, by the way, that was episode… 338 or something. And now we’re nearing episode 394, 395. will be. So I’ve been pretty consistent. So it means that it’s been over a year because I try and release one episode a week, et cetera. So it’d be a really good thing to do for people is to give them a bit of a guide of. some of the setbacks, some of the challenges, some of the things that have changed, improved. And now everyone’s different, okay? So this is Pete’s version. And what we’re hoping to do is kind of inspire hope, Pete, right? We wanna give people hope that things can change and improve. And even if it’s slower for you than other people, there can be a reward for putting in a lot of effort, hard work, re-educating yourself about what it means to live healthily. and all that kind of thing. And give us just a little bit of an insight because there’ll be a link to the original video where you can find out Pete’s complete story, but give us a little bit of an insight into the stroke, the day that it happened, what it was like. Pete Rumple (04:24)Okay, you bet Bill it was about 38 months ago. The stroke, was, it was a massive hemorrhagic stroke. ⁓ eight months in a wheelchair had to learn to talk again, walk again, all that. And, ⁓ so we had, ⁓ had the call about a little over a year and a half through it. And then, ⁓ now I’m further through it and, it’s gone amazing. I’m so lucky. So whatever we want to dig into that’ll be great. Bill Gasiamis (05:04)So your deficits were your right arm wasn’t working properly. Initially you weren’t able to walk. You were wheelchair bound for nearly six months. ⁓ So what are the physical deficits like now? What has changed? What has improved? And how did that go? what were the things that you did that helped you improve in that way? Physical Recovery and Rehabilitation Pete Rumple (05:31)Yeah. So Bill, I, um, it was my right side that I lost, which I forget what the term is, but, uh, it was my whole right side. So, um, when I, what, what I did that was important is first of all, totally overhauled my diet. And I, um, I had lost about 150 pounds. Um, I then, when I started about a year into it, I started, um, doing aquatics, the water aerobics to start dealing with their proprioception and the, um, and just movement. couldn’t, I couldn’t do that in, the ether. I couldn’t do it in the air. had to do it with the water. Bill Gasiamis (06:27)Okay, why is that? Because that’s interesting, because I have a similar problem with proprioception. My left side kind of doesn’t know where it is. There’s not enough information telling it where it is. And sometimes it overcompensates and I get off balance, etc. It feels strange. In the water, I also calmly, I felt calmly different, like I felt ⁓ more supported, even though the water wasn’t really supporting me. How was it for you? Pete Rumple (06:56)You’re absolutely right, Bill, because the water surrounds you, right? So it’s easy to move in the water with what we both have. So I spent almost a year in the water. then I started to, then what I did is I moved to a gym with someone helping me work out for about four months. And then in April, so almost a year ago, in April, I got rid of my cane and I went to CrossFit. And so now I do CrossFit every day. And that was really ugly at first, Bill, and I had to do a lot of modification. But now I modify probably 30%. But Bill Gasiamis (07:42)Uh-huh. Pete Rumple (07:54)row bike. can’t run yet. I’m still walking, but I’m getting ready to go to the beach and practice running for about a month. Bill Gasiamis (08:05)Okay, where in the head was the hemorrhagic stroke? Where did it happen? Do you know? Pete Rumple (08:14)The where, ⁓ I forget. Bill Gasiamis (08:18)That’s all right. It’s not important to remember. So also then, ⁓ when you had the hemorrhagic stroke, how was it rectified or resolved? Did they operate? What did they do? Pete Rumple (08:30)They didn’t have to operate. Bill Gasiamis (08:32)Uh-huh. Pete Rumple (08:33)They just, I got in there, they did things to make sure the bleeding stopped, ⁓ but it was no operation. Bill Gasiamis (08:45)what caused the bleed? Was it ⁓ high blood pressure as a result of your weight? Pete Rumple (08:50)It was a number of things, was high blood pressure, it was a lot of stress. They have a scale bill called the Holmes Raw Scale, Holmes with an L and Raw, R-A-H-E, where you can, it has like 42 major stress events. If you score under 150, you’re fine, 150, 300s. pretty bad and then over 300 is devastating like it’s predicts a major stroke or heart attack within a year. And I was 360 on that scale. I’d gone through the divorce, I had the kids, I had a job change, you name it, I had it. ⁓ Weight was not good, drank too much. So that was my wake up call. if you will, which was severe. And it’s been, it’s great now. Bill Gasiamis (09:53)Yeah, so your arm was completely flaccid, I think, when we spoke last. So where is it now? Pete Rumple (10:03)I can do everything with it. This is the, so I can lift and I’m lifting more weight, not where I was, but about probably 50%. I’m doing pull-ups with the arm and my legs are, I’ve worked them a lot. I’m very strong there. So it’s getting there. Bill Gasiamis (10:25)Okay, cool. When we spoke, you mentioned that in hospital alone, you’d lost 40 pounds. That kind of makes sense. A lot of people say that things change in hospital food relation. When you’re unwell, ⁓ how you consume food completely changes, as well as how hospitals ⁓ treat people with regards to the food, how it’s terrible, how often you get to eat. and how accessible it is. So, but earlier, a little earlier, you said that you lost 150 pounds all up. Dietary Changes and Weight Loss Pete Rumple (11:05)Yeah, Bill. So when I was in the hospital, which was obvious, I was there 30 days from the stroke. And that was where I had to make a choice. And it was like, if am I going to try and get better or not. And so what I did is I ate two to three bites of food a day. That was it because I was in a wheelchair, Bill, I couldn’t move. So coming out 40 pounds lighter was ⁓ a lot of work and a lot of fasting, if you will. Bill Gasiamis (11:42)Why did you decide that that was what you needed to do? How did you conclude that? I know I’m gonna be in hospital. I’ve had a hemorrhagic stroke. There’s nothing else I can do. What I’m gonna do is fast and stop eating food. How does that? Pete Rumple (12:01)was a first step, Bill. Absolutely. was like, I got to change everything. And so as I lay here, this is one thing I can control with all the things I can’t. Bill Gasiamis (12:14)In hospital though, most people in hospital don’t have that realization. I mean, that would have been days out from a hemorrhagic stroke. They’re telling you all these things. Like how did you get to that conclusion? Were you cognizant of needing to do that earlier before you got sick and then you thought, well, now I have to do it or was it an aha moment of some other kind? Pete Rumple (12:40)No, you’re absolutely right. And it was something I knew was getting out of control, Bill. And I couldn’t, I couldn’t resolve it. It was just, it was really tough. And I’m like, this is it. I mean, this is the ultimate wake up call. The other one, Bill, was I had, when I came into the hospital, I was on 17 meds. I now have two. and I’m at 20 milligrams and I’m probably off those in the next four to five months. So it’s been a long programmatic diet, nutrition, health, and it’s been three years. I mean, it’s not insignificant for sure. Bill Gasiamis (13:27)⁓ What was the 17 medications treating or or or managing? Pete Rumple (13:37)I think Bill, it’s almost like, like, what do you do with this guy? You got to throw everything at him to keep on going. I don’t think it would have been 17 for very long. It was probably stop gap measures. Some were pain, but even the pain bill second day. I said, I want no more pain meds, take them away. And it was brutal, right? Cause you know, the way you feel and the, my scapula, my legs, was, it was awful, but I was like, I found my way here, I got to find my way out and let me get off as much as I can and start the pilgrimage back. Bill Gasiamis (14:20)Before the stroke, would you have been somebody who would have taken a device to change your diet? Pete Rumple (14:28)I would have taken every hack I could have, Bill, before the stroke. Bill Gasiamis (14:34)Anything to avoid doing the hard work? that what you mean? Yes. Pete Rumple (14:38)Yes, sir. And look, I was always a hard worker. And I would work out and do stuff. But this is a whole other level. This became life or death. I mean, because you know, the stats bill, like, when I looked at the stats that about 75 % of people are gone in year one, there’s 25%, especially hemorrhagic, 25 % at the time. 25 % a month later, 25 % at the end of the year, another 20 at the end of year two. I’m like, I’m gonna go through all this and then I still have so little chance. So I just went for it and I went really hardcore. Bill Gasiamis (15:25)Did you eat, drink too much to manage emotional ⁓ stress, challenges? What do you think was behind it? Or was it just bad habits? Or did you think you were bulletproof? What was the reason behind it? Medication Management and Health Improvements Pete Rumple (15:42)Everything you just said, Bill, everything you just said. Yeah. I mean, it’s everything, right? You start justifying bad behavior. You have a reason for why things happen. And I just like, even when I try to lose weight, though, I might lose a couple pounds, but then I eat again and what I was eating, how I was eating. So in that first year, I went super deep on nutrition. and how your body works. And I went from, at the stroke I was 337 pounds. And then when I did my podcast with you, I was 180. Bill Gasiamis (16:25)Yeah, well, ⁓ one of the books that I’ll mention to people, you might have read different ones, and that’s cool. But the one that always comes to mind that I always recommend is Grain Brain by Dr. David Pelmutter. So if you’re in the very early stages of recovery and you want to make some changes like Pete did, read or listen to the book Grain Brain by Dr. David Pelmutter, and then ⁓ read a book called ⁓ Why We Get Sick. ⁓ I’m going to quickly do a search on ⁓ online because I keep forgetting the person’s name. ⁓ And what it’s going to do is going to why we get sick by Benjamin Bickman. And what it’s going to do is going to give people an insight into the. ⁓ I one of the things is the first book is the food that you can avoid and stop eating and the reasons why and how they benefit the brain and then ⁓ why we get sick is an insight into, in fact, exactly that why we get sick. so that you have an understanding of what might have got you into that real bad state. And then also before that, ⁓ the food component of it, because those two things, if you know why you got somewhere and then you know what the trigger was, what the thing was that made you get there, so the food, for example, then you’ve got a great foundation for taking the next step forward ⁓ and reversing it. Pete Rumple (18:02)Absolutely. Bill Gasiamis (18:04)and improving your health and improving your diet, losing weight and decreasing your risks of heart attack, stroke, cancer, all that kind of stuff. ⁓ So I love that you got curious. That’s what I did. I was in hospital reading and watching YouTube videos about how I’m going to recover, how I’m going to overcome things, all sorts of stuff like that. And it was… Pete Rumple (18:19)I remember. Bill Gasiamis (18:31)in a situation where control is given over to medics, doctors, surgeons, all that kind of stuff, you feel like you’re a little bit of a, you’re just floating in the wind and you’re not really stable and you don’t have an anchor point, right? So when you, if you want to feel like you’re a little more anchored, what you could do is you could take control of the controllables and Nutrition is one of those controllables and it doesn’t cost you any extra. You don’t have to spend money. Pete Rumple (19:04)You’re absolutely right, Bill. It’s a huge point. By the way, there’s a great app, and I know there are many, but there’s a great app called Yuka, Y-U-K-A. You can scan any barcode in the store and it will tell you the score and what’s wrong with it and the amount of food I was eating that was, especially in the U.S., Bill, heavily processed, additives, dyes. It’s like toxic. And so you can scan it and know what’s really in it. And it tells you what’s good, what’s bad. And it was a huge help. Bill Gasiamis (19:44)Yeah. So we’re going to have some of these links in the show notes for anyone who wants to find them. I’ll put a link to the books. I’ll put a link to Pete’s previous episode. We’ll put a link to that Yuka app. Pete, that’s your homework. You have to send me that link when we’re chatting. ⁓ When you say you’ve lost 150 pounds, like that is 50 kilograms. That is almost two-thirds of my weight. Well, it’s actually, yeah, it’s about two-thirds of my weight. That means that if I lost 50 pounds, I would just be a bag of bones. Pete Rumple (20:30)Well, and Bill, I was a bigger guy to begin with. have a big frame and I played a lot of US football, American football. So I had a lot of weight to lose, Bill, and it’s gone now. And I’m back up to about 205 and it’s all muscle life, about a 32 inch waist now. really, really fit and I go for it. And by the way, by the way, I want to make one point to all listeners that took a long time, Bill, like between being the wheelchair for eight months and then getting the pool. It took a long time. I used to go and sit and watch people work out to just reacquaint myself. Bill Gasiamis (21:03)How old are you? The Role of Visualisation in Recovery Pete Rumple (21:29)what it looked like and inspire myself. It has been a long road, but my goodness, is absolutely I’m on the other side of it now. Cause as I had said in the first podcast, the first 18 months, I did not want to live, especially year one, ⁓ immense amount of pain. had been a successful executive that was gone. Like it was really really rough. And so now it’s beautiful. And I want people to know that because it it’s so worth it. Delay gratification, you learn a lot about it. And it’s ⁓ Yeah. Bill Gasiamis (22:14)I love that delayed gratification, but also you went into a gym watching other people train when you couldn’t train, just so you can be around it and familiarize yourself with it again. That’s really interesting. That’s probably one thing I’ve never done is go to a gymnasium and watch other people train. It’s a bit creepy Pete. Pete Rumple (22:32)Yeah, it is. It’s weird. And people would look at me like, what’s he doing? And by and by the way, Bill, I did a lot of work on how to breathe, which was really helpful, how to how to manifest and to really sit and get mentally so I go even today, Bill, I go in a half hour before my workout to work on breathing and visualizing my exercises, because I get the the list of what my workout is before I get there the night before. So I study and I prepare and then go. Bill Gasiamis (23:10)What I love about visualizing is that if you visualize the brain actually fires off the exact same neuron and pathways that it does if you actually physically do that thing. And there’s been studies in the past that have showed that you can take an average guy like me and you can make them watch a video of somebody doing archery, for example, and you can ⁓ take them through a number of repetitions of this person, this champion doing archery. And just with that information and the visualization techniques later, you can take somebody who has basically never shot ⁓ an arrow through a bow and you can get them to a certain level of competence far more rapidly than you would have if you just got that person out of a crowd and sent to him. Have you ever shot an arrow? If they said no and they took the shot, they probably wouldn’t be able to do it as well as the person who was trained by just watching what the other person, the champion was doing. And when I was in hospital wanting to walk again, I’m sitting in my bed between sessions because I had a wheelchair as well. And I was visualizing myself doing the perfect walk, what the perfect walk would look like. And then I would take myself later to ⁓ therapy where I would be walking and I would be trying to replicate what I was seeing in my head so that we could get a similar result. And of course at the beginning, your leg is now doing it physically and it needs to catch up to the brain. The brain has ⁓ the pathway, but the leg needs to catch up. So then what the leg does is it goes, this feels a bit weird or this is a bit strange or this is not how I expected it. But it has a reference point for where to get to and how to do the perfect step, right? And then you’re closer to the perfect step than you were if you were just relying on therapists to ⁓ train you through that. Pete Rumple (25:22)You’re absolutely right, Bill. And the brain is amazing. Look, it can work for you or against you depending on what you’re thinking and how you’re doing things. And it was really amazing, Bill, because as I built my capability through CrossFit, it was amazing how my brain would start to take over. Like I wasn’t sure, but my brain was already, I got it, and so grew. It started carrying me and just getting it done. It’s amazing. Bill Gasiamis (25:58)Yeah, yeah. Embracing Discomfort for Growth But how did you know to do that? That’s the thing that I’m interested in understanding because I didn’t know the guy before stroke didn’t know about doing like magic like this. know, how do you, I don’t know, like, can you explain how you found yourself in that situation? Cause I can’t, people go to me like, well, how did you know to do that? Or how did you do that? And I’m like, I don’t know what happened, but something clicked. that made me stumble onto, discover, find all the necessary tools that I needed to get me to the next stage. I’ve never been able to do that before and I can do that now. Pete Rumple (26:46)Yep, me too, Bill, me too. And you know what? I think it’s how desperate we are for answers. And especially you can read all these blogs about what doesn’t work and what’s a waste of time, but you find the nuggets and you go for it. Here’s a great one, Bill. And I’ll send this in the link. Andrew Huberman, he runs a podcast called Huberman Lab. He had David Goggins on and he purposely waited for Goggins to share with him the research around the AMCC, which is the anterior mid-cruciate cortex, which is a part of the brain. And when you do things that are hard and you don’t enjoy it, that part of your brain grows and gets stronger. So I sat there, Bill, and I’m like, well, damn, if I can start to make my brain stronger, I’m going to do it. So I did all the stuff I hate to do. And I started doing it. And I started even faster, talking better, walking better, and really doing everything I did not like to do. And he even brings up the point when he describes it. He brings up that if you like running every day, It doesn’t work. But if you hate running and you have to go run, it works and it makes sure and make, they’ve learned so much that was, that was about three to four years ago. They found it, but this is a massive find in the brain. And I started using it, Bill. And what I started to do was everything I did not enjoy or created pain. I’m like, I’m doing it. And it took me from averting it to leaning into it. And it was amazing. it’s, you’d think it’s BS, it’s not. And Huberman, you know, he works at Stanford. He knows his stuff. It was really, really impactful. Bill Gasiamis (29:03)Yeah, it’s about being comfortable being uncomfortable, isn’t it? Like it’s realizing that you’re probably not killing yourself by paying in a little bit of pain exercising. also, yeah. Pete Rumple (29:16)And Bill, I will just say, I did a very good job for the first time in my life of listening to my body. So I go hard, I push, but when I wasn’t feeling it or didn’t feel right, I take the day, relax, and then come back stronger next. Bill Gasiamis (29:38)I want to pause there for a second because what Pete just described is exactly the kind of thing I wrote about in my book. The idea that the obstacle is the path, the doing the hard stuff in recovery. If you haven’t grabbed the copy yet, it’s called the unexpected way that a stroke became the best thing that happened. You can find it at recoveryafterstroke.com/book. The link is in the show notes and in the YouTube description. So let’s get packed. to Pete. Bill Gasiamis (30:08)Yeah, yeah, agreed. And it’s important to listen to your body after a stroke, because you don’t want to make things worse, especially when you’re still healing and still recovering and you’re still fragile, you know, there’s a lot of things that you need to take into consideration. However, being uncomfortable and being comfortable with that is really a good skill to master. ⁓ It is, ⁓ it reminds me of the saying that we hear that’s often attributed to the old great Roman Emperor Marcus Aurelius, which is the obstacle is the way, you know, when you get to something that’s really hard, you go for it, because that’s what you’re to be. That’s the purpose of the obstacle. It’s to overcome it, to find the way around it, under it, over it, through it, whatever it is. And Goggins is a scary guy. He’s a scary guy, because he runs without, without cartilage in his knees or something. I don’t know what he’s missing. but he shouldn’t be able to run, he shouldn’t be running and somehow he still runs. I think his version of running is a little toxic. I think he’s just a slight too far, ⁓ but nonetheless, it’s still proof of ⁓ what you’re capable of and how much people can push and go beyond their comfort zone. And if you’ve never pushed beyond your comfort zone, there’s no better time to do it. You really have to do it now because you want to activate the right neuroplasticity. You don’t want to activate negative neuroplasticity, which rewires your brain to be more comfortable, less willing to do hard things. ⁓ And therefore, you get the results of that. You get the decrease in your recovery or the ⁓ overcoming of your deficits. So I appreciate that whole ⁓ mentality of finding what’s hard and you’re probably in the right place. That’s probably what you need to do. Pete Rumple (32:07)Absolutely right, Bill. And I agree with everything you said. And look, I love Goggins, but it’s not to be like a warrior like him. The point is, like with Huberman, it was cool because Goggins thinks that way so much. He wanted to launch the foundational research with Goggins there with him. He purposely waited. So it was pretty cool. Bill Gasiamis (32:35)Yeah. And that that’s the thing, right? It’s like you get rewarded for doing hard things. ⁓ Stroke is hard. And if you ⁓ take the easy route, the comfortable route, the hard part of your stroke remains hard. Like it doesn’t get better. If you choose the other hard, the recovery Pete Rumple (32:59)right. Bill Gasiamis (33:04)benefits that you get from choosing hard of exercise, the hard of changing your diet, the hard of changing your mindset, et cetera. Like then that version of hard gets you a reward that is beneficial. The other hard just gets you more suffering. And that’s the hard you wanna avoid. Suffering without purpose. Well, suffering for a purpose gets you a payoff. The Power of Hard Work and Persistence Pete Rumple (33:31)That’s right. That’s exactly right, Bill. And look, with the, when you put it all together between the diet, though, increasingly working out, going after the deficits, all that, day by day, painful, hard, depressing, but you start looking three months, six months, a year later, you’re like, you start building your will and your ability. to do things you did not think you could do, and then it starts feeding on itself, and it becomes so powerful. Bill Gasiamis (34:09)Yeah, that’s my experience too. ⁓ Somebody put it in my head that I should start a podcast 10 years ago. It’s been 14 years since my first stroke this month, February, 14 years. It’s just gone like that. And then about three years in, a friend of mine said, should start a podcast type of thing. So I did. And it has been more than 10 years that I’ve been doing this podcast. ⁓ And I never thought that I’d be doing a podcast, let alone for 10 years. We’re talking about at the beginning, not a lot of episodes because I was too unwell to put a lot of episodes out. it’s ramped up now in the last four or five years, doing an episode a week, most weeks. And then the other thing I never ended up, I never thought I’d end up doing is writing a book here. Here’s the plug for the book. Pete Rumple (35:01)love it. I love it. Bill Gasiamis (35:03)The title is mental, like it’s the unexpected way that a stroke became the best thing that happened. ⁓ But the book is exactly the things that you’ve said. And I thought initially when I discovered those things about my book that I needed to put in my book, I thought that I was rediscovering these for the first time. Like at the very beginning, diets, ⁓ mindset, ⁓ exercise, sleep. ⁓ ⁓ meditation, hanging around other people who are positive, all that kind of stuff, doing stuff for other people, ⁓ like volunteering, that kind of thing. I thought I was discovering these things ⁓ for the first time ever, but turns out these are things that humans have always done. That’s what they default to. They default to all of these things when it’s necessary, and that’s where they get lost from. They kind of move away from there because they get diverted from there, from say, marketing or advertising or what somebody else is doing or through a lack of ⁓ focus from being distracted from work, from relationship issues, whatever the situation is. I didn’t write anything different in my book than has been written in the hundreds and thousands of books on this topic that have come before it. I just reorganized that and set it in my own words. But the reality is, is this is what people do when they’re trying to recover. They default back to the bare basics and they’re things that you can implement without ⁓ spending any extra money buying a course or anything like that. Of course, you might need to read it in a book for the first time to remind you or you might need to hear it on a YouTube video, but the reality is, is that nothing new in this book. Pete Rumple (36:51)And Bill, I want to take a second and plug your book because I have not read it yet. But back in the first ⁓ the first session I did with you, I referenced a number of things you taught me through the podcast that I did to make to start building momentum like the cooking dinner every day was the to do. That was your mission. Yeah. so much of what I’ve learned from you, the podcast and what’s inevitably in the book was a great starting point for me. And I built my, my stuff on top of it, but it was really great to stand on your shoulders and get, and get that lift. Bill Gasiamis (37:38)Yeah, isn’t it weird? Like it was just one thing, but it was the most important one thing. My whole world revolved around that. If I could put dinner on the table for the family in any capacity, it didn’t have to be like a five star meal or three courses or anything like that. It just had to be dinner. If I could do that, then that was kind of how I rehabilitated myself. I needed to be healthy enough, good enough, fit enough, have enough energy to just put a meal on the table for everyone when they came home from. work. was such a it’s such a it was it was important for many reasons. But it was also what I didn’t realize the underlying benefits that it was creating, which were the ones that ⁓ I noticed later after Pete Rumple (38:25)Yep. And you were re-engaging and you were pushing yourself. And I remember you go to the store to buy the stuff you needed sometimes. like all that stuff, Bill, when I look at the beginning, I couldn’t watch a TV for over a year. I couldn’t listen and did not listen to music for two years. It was, and now I’m like back in the fold, but it’s the push, the push, the push and just, you know, listening to the body, but going for it all the time. Bill Gasiamis (39:03)Yeah, exposure, like exposure, exposure, exposure, small, then larger, then more and more. I remember going to the stores to the local mall here, and we call it a shopping center, and parking the car, and then not being able to remember where I parked the car, walking around the entire car park, and talking to my brother, and going to him, he rang me just out of blue and I said to him, he goes, what are you doing? I said, I’m walking around the car park. He what are you doing that for? That’s because I don’t know where my car is. I’ve been looking for it for half an hour and I’ve got no idea where it is. I parked it and I just got no idea where. I don’t know which car park. I don’t know where I came in from. I don’t know what level it was on. And I was just walking around the car park talking to my brother, just telling him, I came and got a few things, but now I can’t get back to my car. Pete Rumple (39:55)Yeah, and there’s definitely you know bill once I got out of the darkness There’s definitely some really funny stories That that happened especially like the way The way I would walk people would see me I might be in a restaurant and i’m going to the bathroom and they think i’m drunk Yeah, and they’re like making fun of him like hey i’m not drunk, but ⁓ I get you know, I’m all right, I got it. And they’d be like horrified and I’d just start laughing. It was funny, but you gotta have some fun with it too, you know? Bill Gasiamis (40:34)Absolutely, you have to, you gotta laugh. you don’t laugh, well, it’s gonna be difficult time. You, ⁓ I remember when we spoke last time, you mentioned about trying to get back to work. ⁓ How did that go? Was it successful? Did you have some challenges? What was going back to work like? The Journey Back to Work Life 3 Years After Stroke Pete Rumple (40:53)So Bill, I’m gonna start back in June. I’ve done some projects, work projects, but I have not officially started working, but I’m going to. I’m starting a business with a close friend of mine, my former CFO, and we’re gonna start a new business. Bill Gasiamis (41:18)Tell me about the new business. What is it about? Can you share anything about it? Pete Rumple (41:22)Yeah, it’s called fractional leadership bill will probably go to companies that are ⁓ getting funded, trying to grow. They got a good idea. They can’t afford the people they need. So you basically it’s less consulting. It’s more you’re operating it for them and you work with multiple customers and it’s called fractional leadership is becoming a really pretty popular model. And, ⁓ and also for companies that have that have their revenue is stalled or shrinking, get them turned around. That was my background. My background was ⁓ running chief revenue officer. So everything that drives revenue in a company and I was a CEO twice. Bill Gasiamis (42:06)Uh-huh. Soon. Did you have a specific industry that you worked in? Pete Rumple (42:23)Yet a lot of times I call it TMT for telecom media and tech so tech companies and media and That kind of stuff Rosetta Stone was his language learning company. I was I ran all our institutional business education government and and ⁓ Corporate Bill Gasiamis (42:49)Wow, what a challenge. mean, technology is changing so rapidly. ⁓ I Pete Rumple (42:55)love it, Bill. And look, I’m sorry, I just had to make this point and not forget it. That was another thing I’ve done, Bill is I’ve gone heavy into AI. And I did it, not just because it’s the buzzword. But I’m like, Hey, if I’m going through this process, if I’m retraining my brain, why not try to get good at stuff that I either didn’t do or need to know. And it’s been so rewarding, Bill. Bill Gasiamis (43:24)out. Pete Rumple (43:25)It’s just crazy. Like AI, use chat chat, GBT, and it’s like my, my best friend. now work with chat daily and it’s amazing how the tech technology works. Not only can it be really helpful for figuring things out and having a partner, but it also remembers things about you in how it builds the profile. So it’ll basically say, Pete, don’t forget this, this, and this. And it’s awesome. It’s really killer. Bill Gasiamis (44:02)So here comes another plug, Pete. Okay, so this is not a sponsor, but it’s something that I truly believe in, okay? Because the person who contacted me, A, is an Australian, B, is a mother, ⁓ C, is a mother of two children with cerebral palsy. And she was looking for solutions to all the challenges that they faced as a family, especially to help her children, right? parent would do. So then ⁓ she used to do research like you and me jump on the computer, do some research, find out about all the things that ⁓ she needed to know with regards to what was most current in cerebral palsy right now. And she’s the struggle because ⁓ imagine like the time that it takes when you have a stroke brain to research, read, comprehend, determine whether Pete Rumple (45:01)We know. Yeah. Yeah. Yeah. Bill Gasiamis (45:04)whether or not that is applicable. Okay, that’s not applicable. Put that to the side, do another search. And then also going to doctors and researchers and all these other people and saying to them, what about this? What about that? And then them not being aware of anything that was new because they’re too swamped. They’ve got a massive workload. They don’t have time to be up to date with all the research, right? And this is a hundred percent a full on plug. I’m not apologizing for that. However, what this lady did, Jess from turn2.ai, I have a link to her interview as well, because I interviewed her, is she created an ⁓ AI that goes and does the research, the searching for you, and then sends you an email every week with everything new in your particular topic, for example, stroke. And then it tells you, I found seven, nine, 10 things for you this week that are new on stroke. It could be a podcast. It could be a research document. could be ⁓ whatever it is. It could be a book. It could be anything. It just finds it and sends you that information. And as your recovery continues, right, ⁓ what happens is ⁓ you might say, okay, now is there any information about food related to stroke recovery and healing the brain? And then it adds that to the search list. And then it comes back at the end of the next week with all the new information from food and brain. And then also whatever it was that you previously prompted it to find you. And it just keeps finding information and you build it and you build it and you build it. And then next week you get interested in meditation and you type, what can you tell me about meditation and healing the brain? And then it’s going to bring you all that information to your inbox. I spent hours and hours and days and days trying to find information about what I needed to know about stroke recovery. And when I found that little piece of paper, I had to go through the rabbit hole. I had to go down the rabbit hole and try and find ⁓ where ⁓ where it kind of where the exit point was where it led to so that I can discover whether I need to implement this, do this. So this just saves so much time and the guys are selling it for two bucks a week. Like you can get a month free and two, and then after that it’s two bucks a week just to find and do all the searching for you and bring you specific and relevant stuff. And we’re talking about scientifically relevant and specific like PubMed articles, like scientifically proven stuff, not what Bill ⁓ concocted up in his bedroom. you know, in suburban Melbourne, like proper things. So I love that you said that you’ve turned to AI. I’ve been using chat as well. Chat helps me with so many things, but what’s important is to learn how to interact with it. And that’s another, that’s another thing, another skill to discover. And it’s important that we jump on the bandwagon. AI is not going away. You need to learn about it, how to interact with it, and how to use it to benefit you and decrease the amount of time it takes to do something and get to recovery. Pete Rumple (48:37)You’re absolutely, absolutely right, Bill. I mean, it is, and even if you just use it for basic stuff to begin with, and you start learning how to create the right prompts to get the kind of answers you’re looking for, it’s a great skill. And the biggest thing is not being afraid and leaning into it. Bill Gasiamis (49:00)Yeah, not bad. Well, there’s nothing to be afraid of. They can get them all for free. At the beginning, you can get a free subscription. It doesn’t cost anything. And it’s just as useful. Perfect for that early training kind of phase in your chat, in your chat, JBT kind of discovery. There’s also Claude, there’s also the Elon Musk one. There’s hundreds of them now. Yeah, there’s heaps of them now, right? So I really encourage people to do that because If you ask it one question like, you know, what is one of the most ⁓ best books that I can read for, we’ll call it nutrition for nutrition and stroke recovery. That’s just going to decrease the amount of time it takes to find those books and bring that to you. Jump on Amazon, find it, get it sent to your house. ⁓ So I think it’s a great time for people. and it’s never been a better time to recover from a stroke. I mean, it’s a shit ⁓ group to become a part of at the beginning and it’s difficult and it’s painful. But if somebody has a stroke today compared to a stroke 30 years ago. Pete Rumple (50:17)⁓ my goodness. Bill Gasiamis (50:19)Like it’s a completely different experience. ⁓ I think we’re kind of lucky to be living in the time that we’re living. ⁓ Even though I know that people hear about AI and what it could potentially do in some other situations. ⁓ Let’s use it for good. Like let’s break the work. Pete Rumple (50:21)That’s all we’ll That’s right. That’s exactly right, Bill. It can be used for evil, but it can be used for good. So use it. That’s right. Navigating Health Challenges Bill Gasiamis (50:48)Yeah, just like any technology, right? Like you hear all these things, but any technology can be used for good or evil. So let’s just use it for good. Let’s just make the most of it. So before your stroke, you were going through a divorce or had you already been divorced? Pete Rumple (51:08)I was already divorced. Yeah, it had been it had been a couple of years earlier. I had a bad car accident a bunch of but you know the kids live with me. It was just a stress sandwich and I did not go out the right way. Bill Gasiamis (51:27)Yeah. You didn’t go out at the right way because what do you think was behind that? Like, it’s hard to make really good decisions in very stressful times anyway. You have to have an opportunity or the insight to pause, step out of that situation for a little bit, reflect and then try and make decisions. how did you get into that stage where you found yourself not being ⁓ not going about things appropriately, for example, perhaps. Pete Rumple (52:02)For me, Bill, it was like I didn’t have a choice. I was now in a wheelchair. I was in pain and I had nothing I could do but think. And at first that was very negative. It was, I didn’t handle it well. I didn’t accept it. And once I went through that process and I got like, okay, I’m going to get holistic about this. And by the way, I don’t want to, I don’t want to just fix the physical and then I get done and everything else is a wreck. So went after all of it and just started carving up my day, spiritual, cognitive, physical, mental, every day, a block of each practicing writing, all that stuff. So I just started doing it and rebuilt my life. probably like I should have in the first place, but stuff happens. I had to, you sometimes, you know, we, you and I laughed about this before. Sometimes we’re a little thick. takes a little longer. So it took me a while, but I’m there now. Bill Gasiamis (53:18)Yeah. And reflecting on that version of yourself from the past, does that does that person ever come up again, every so often, because we’re talking about all these positive things, all these amazing changes. And I don’t want to paint a picture that it’s only ever fantastic you and I like what we go through after our initial stroke has been all just roses. Is there moments of that things rearing their ugly head and you reverting back, how do you catch yourself when you’re there? Pete Rumple (53:57)Yeah, I mean bill that’s why what’s really good about this is my first podcast with you because we went really deep in the in the darkness of that now bill is beautiful man. It is beautiful. I am almost I almost don’t talk to people about it because My life is so much better because I had a stroke. It’s crazy. It sounds nuts, but it’s so true. Everything’s sweeter. I just, it’s hard to describe. It’s a blessing. Bill Gasiamis (54:38)Yeah, that’s crazy. It is probably crazy. Pete Rumple (54:42)It is? Bill Gasiamis (54:45)I find myself, ⁓ I find myself obviously having bad days. My bad days are related to stress, ⁓ you know, work, if they’re related to ⁓ interactions with people that don’t go the way that I preferred. They’re related to ⁓ what the stroke still does to me after 14 years. ⁓ It still causes neurological imbalances. still causes tightness on my left side, know, that tightness causes dysfunction on my right side, you know, the body goes out of whack. And if I catch it, if I have a bad night’s sleep, things get thrown out and it’s hard to, ⁓ it’s hard to always navigate it and be effective at catching it and then doing something about it, you know, cause you’re human, you get distracted, et cetera. Pete Rumple (55:38)Well, and Bill, you’re bringing up great points because as I transition back to work, I’ll have some potential potholes that I don’t have right now. So I’m very, I’m very conscious of what I’m going to go back into. Now. I love, I love work. It’s my sport and I love it. But, ⁓ and today I have now. bad moments, not bad days. Maybe those occurred, but I’m going to try to stave that off. But that’s just how it is now. as of as of now, that’s that’s the update, if you will. Yeah. Resilience and Consistency in Recovery Bill Gasiamis (56:25)Yeah. Okay. I like that you said that about work, like there’s gonna be some potholes with if you’re doing the type of work that you’re doing. ⁓ That’s pretty high level and high stress and intense for ⁓ at some stages, it could be right, you’re talking at organizations that are going through a hard time that are looking to you to solve their problems, so to speak, or to support them solve their own problems. So ⁓ You know, the ramping that up is gonna need a little bit of thought so that you don’t go too far into that type of work without realizing how far in you’ve gotten. Pete Rumple (57:10)Absolutely right, Bill. You’re absolutely right. And look, I’m going to try to be as bulletproof as I can. The good news is I’ve been doing this work my whole career. So it’s been 40 years. So I don’t think I have to micromanage or get to like, I think I can find the right balance if I can’t. I’ll go to a lesser job and do something else. But so I realize, especially because I can get pretty intense. So ⁓ I realized that is a risk, a very real risk. I’m not shying away from it. I’m not saying, don’t worry. yes, there is stuff to worry about, but I’m gonna, I’m gonna test and learn. Test and learn is what I always do. Test it and learn, can I do it, not do it, do I have to do different, do I have to do something else? Bill Gasiamis (58:14)Yeah, brilliant. How old are you now? Pete Rumple (58:17)61. Bill Gasiamis (58:18)Okay, so at 61, most people are thinking about retiring. What are you thinking starting a new business at 61? Pete Rumple (58:25)Well, mean, Bill, look, let’s be honest, I think the last three years off. So I have some ⁓ room left in the battery. But I mean, part of the reason for this type of job, Bill, is because if we do this, we run it. And we’ll decide how we take care of clients, how we work and all that. And if I have to take on less, take on less. If I can take on more, take on more. And I’m gonna, like everything else, I’m gonna figure it out one step at a time, Bill. And I, you know, I don’t have the answers, but I’m gonna find them. Bill Gasiamis (59:11)And retirement’s not really in the frame for you. Like it’s not something that you’re thinking about, like to ⁓ officially retire, know, step away from the day to day and just, you know, go and sail off into the sunset type of thing. Pete Rumple (59:24)Yeah, I think to your point, Bill, like if I can make this work, I’ll probably work through my 60s. If I can’t, then I’ll have to probably hang it up earlier or do something lighter. And if that’s the way to be healthy, so be it. I’ll do that. Bill Gasiamis (59:43)What else does work bring you though? Because it doesn’t just bring work income. Like it brings more than that. Like for you, I feel like it’s more than just I’m making a wage or bringing in some money or whatever. What else does it bring? Pete Rumple (1:00:02)Yeah, it’s it’s competitive, Bill. It’s it’s my sport. You know, so hitting the numbers in a month and a quarter and a year. That is the scoreboard for what I do. And if you if you do it well, you can do really well and be very happy and influence a lot of people’s lives in a positive way. And if you don’t, it can be really awful. So Fortunately, I’ve been on the right side of that for a long time and I want to get back to it and no ego stuff I just I want to I want to I want to have an impact and I want to enjoy my sport. Bill Gasiamis (1:00:48)Fair enough. Even in your unhealthiest and heaviest before the stroke, were you this energetic? Did you have this same amount of energy? Pete Rumple (1:01:00)I’ve always been energetic, Bill, but I couldn’t operate like I do now. Like my sleep is wonderful. I go hard at the gym. I do projects. I volunteer. Like I’ve been readying myself for coming back in. And look, if I can, great. If I can’t, I’ll adapt. Bill Gasiamis (1:01:27)Yeah. I know when I went back to work, uh, well, I had to, I had to pause my business. have a painting and maintenance. Yeah. I had to pause it. I had to go back into an office, very basic admin role, like low level, but it was so hard being at work, sitting in front of a computer for eight hours a day. We started, I started that job in 2016 and finished in 2019. By the time I got to 2019. Pete Rumple (1:01:36)I remember. Bill Gasiamis (1:01:57)I was way more capable of going in focusing on the task at hand and doing the work that needed to be done and then being able to be okay to do the drive home because at some point at the beginning I wasn’t really able or up to the task. But I kind of built ⁓ the muscle again and then got to that stage where by 2019 it was fine. So some people might find going back to work like You know, retraining that muscle of being at work and working and focusing and all that kind of stuff. They might find that it’s gonna take a little bit of time to get there and you might have to step back. You might have to decrease the days, decrease the hours and then go again and then try and find where the threshold is, see if you can exceed it and then see how far you can push it and reflect a year, 18 months, two years. Pete Rumple (1:02:38)That’s right. Bill Gasiamis (1:02:56)down the track back to notice how far you’ve come. Pete Rumple (1:03:00)Yeah, right on Bill. I mean, I’m gonna have been out of it for 42 months, probably when I go back. So I hear you loud and clear, and it would have been really tough to do it. before now. Bill Gasiamis (1:03:20)Yeah. Yeah. And you did have a you had a goal to get back to work a lot earlier. Pete Rumple (1:03:29)Yes, that’s right. And ⁓ that’s another thing, Bill, like I’ll set an intention to do something. I’ll go for it. I’m not ready. I’m not gonna, I’m not gonna do it wrong. I’m not gonna hurt myself. So I set a goal. I try to manifest it, but if I have to push it, I push it. Bill Gasiamis (1:03:51)Yeah. Just before we spoke and started this episode, you’re you apologize for wearing a hat, which is was unnecessary ⁓ because you have a scar on your head because there was a skin cancer found. And before it became a thing, the you got you had it removed. That’s right. So now when So I wanna understand like your mindset now compared to before when you come across ⁓ an issue like that, a health, potentially health issue for people. How do you navigate that now compared to how you might have done things before? ⁓ Proactive Health Management Pete Rumple (1:04:38)Beautiful question. Yeah, I used to avoid all that stuff. I avoided the doctor. I don’t want to do this. I want to there’s always a reason to do something else. Now I lean in, I pay attention, I learn I go in, I may agree or not agree with the doctor on certain things. But especially now because I can think again, took me a couple years. But yeah, I lean in. I want to I want to get in there. I want to know what’s wrong. What’s right. What have you just had my annual exam two days ago ago. It went great. Labs came back great. I I my neurologist that I used to have to ⁓ visit quarterly said Pete I don’t even need to see you annually now. Just if you need me call me. Other than that you’re good to go. And she said, we have not seen this kind of recovery before from what you had. Bill Gasiamis (1:05:43)Yeah, I have a similar experience when I was in hospital. They booked me in for two months. I was out in a month ⁓ in rehab and I feel like they should have asked me what I was doing because It’s really important for people to know the difference between being passive and waiting for somebody to rehabilitate you or being the person who’s driving your own rehabilitation. Like there’s a massive difference and Pete Rumple (1:06:13)Huge difference, Bill. You’re right. Huge difference. mean, last last call, I talked to you from my sister’s house in December, just a couple months, few months after it, I made the decision to move out on my own, which I did, which really stunk, Bill. That was hard. Like, I there were some nights I couldn’t eat. I was like, I can’t I’m either gonna make the the bed or the kitchen, which am I doing? Bed. And I just do it. And but it was important. It was important to start knowing where I could push and not being too reliant. Bill Gasiamis (1:06:59)Yeah, yeah, the less reliant you can be the better, but still also good to be able to rely on people when you need a little bit of support. Pete Rumple (1:07:05)Right on. Absolutely. don’t, you know, it was, there’s not a right or wrong. It’s like, what do you think? What’s your gut? Bill Gasiamis (1:07:14)Yeah. Now let’s do a little bit of a community service announcement about this skin cancer. A, how did you notice it? ⁓ What were the steps that you took after you noticed it? How long did you take? Why did they remove it? And so on. Give us a little bit of information. There’ll be people listening here who ⁓ may have noticed a little bump or a lesion or something on their face, their head, their arm, whatever. Give us a little bit of an understanding of how that came to be. Pete Rumple (1:07:43)absolutely the one thing I’ve done Bill through my life as I’ve stayed disciplined on the dermatologist and I don’t know why I think it’s how I was raised everything else I skipped but the dermatologist I stayed on top of and to your point if I notice something and it seems pervasive like it’s not going away I have it looked at a

Are parasites the missing root cause behind your gut issues, chronic fatigue, autoimmune disease, or even cancer?In this episode, Dr. Vaughn Lawrence (Spirit of Health KC) breaks down how parasites multiply in the body, how to test for them, and natural ways to cleanse safely.In this episode, you'll learn:Common parasite symptoms most doctors overlook (gut issues, rashes, sleep problems, weight loss)Lab markers for parasites (eosinophils, basophils, stool testing, fecal eosinophil protein)How parasites, mold, and toxins can drive chronic illness and cancerWhy antibiotics and symptom-based medicine often fail long termHow parasite cleanses work (herbs, capsules, liquids, duration, what to expect)Practical tips to reduce parasite exposure in food, pets, and daily lifeThe role of oxygen, detox, and drainage pathways in real healingTo find out how we can help you on your health journey, book a free 15-minute Discovery Call with one of our New Client Coordinators! Click the link: https://www.spiritofhealthkc.com/discoverycall For more health tips and information visit: https://www.spiritofhealthkc.com/To buy natural health supplements visit: http://store.spiritofhealthkc.com Facebook: https://www.facebook.com/SpiritofHealth/ Instagram: https://www.instagram.com/spiritofhealthkc/ Pinterest: https://www.pinterest.com/spiritofhealthkc/YouTube: https://www.youtube.com/channel/UCwRcNSxR3kMYi9wP8OmxlQQ Spotify: https://open.spotify.com/show/7yfBBUjWKk3yJ3auK71O7H?si=295c77ed21f14568&nd=1&dlsi=af01c00121ed4aed

Otsuka America Pharmaceutical, Inc. v. Hetero Labs Limited

Join the Delphi team for an inside look at their Montenegro retreat as Anil Lulla, José Maria Macedo, Yan Liberman, Tommy Shaughnessy, and Kevin Kelly discuss the evolution of Delphi's three main companies. From consulting and applied research to venture investments and AI acceleration, the team shares their strategic vision, recent wins, and how they're building competitive advantages across crypto and AI.

#945: Join us as we sit down with David Roberts & Dr. John Gildea – the scientists behind Mara Labs. After losing his wife to breast cancer, David founded Mara Labs on a mission to uncover what truly supports cellular detox, brain health, & longevity. Alongside him is Dr. Gildea, a molecular biologist with 60+ peer-reviewed studies & two decades of research on how targeted compounds protect cells, clear environmental toxins, optimize metabolism, & build resilience as we age. In this episode, they break down sulforaphane's anticancer potential, natural alternatives to GLP-1s, the truth about microplastics & hidden toxins, & what your detox protocol is likely missing.   To Watch the Show click HERE   For Detailed Show Notes visit TSCPODCAST.COM   To connect with Mara Labs click HERE   To connect with Lauryn Bosstick click HERE   To connect with Michael Bosstick click HERE   Read More on The Skinny Confidential HERE   Head to our ShopMy page HERE and LTK page HERE to find all of the products mentioned in each episode.   Get your burning questions featured on the show! Leave the Him & Her Show a voicemail at +1 (512) 537-7194.   This episode is sponsored by Mara Labs For the next week, Skinny Confidential listeners can get an exclusive 25% off at http://mara-labs.com/SKINNY using code SKINNY at checkout. This exclusive offer ends March 6th. After that, the discount will return to the standard 15% off. Produced by Dear Media

Rick on reducing friction and increasing security.  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

This week, I sat down with one of my favorite humans and one of the smartest creators on the internet — my friend Cat Goetze (@askcatgpt). We talked about what it really takes to turn creativity into a scalable business, how to stop waiting for permission, and why “climbing Cringe Mountain” might just be your next rite of passage as a creator. Cat shared her journey from Stanford to Silicon Valley to full-time creator and founder — and the wild story behind launching Physical Phones, her viral hardware startup turned creator-powered case study. She opened up about the tension between being “the talent” and “the boss,” the masculine/feminine energy dance of running a company while staying in flow, and how she's redefining entrepreneurship through CAT Labs, her newest venture building products and creative experiments at the intersection of art and tech. We also got real about leadership, letting go of control, and how good-hearted people claiming the resource of fame is one of the most radical things we can do right now. This one's equal parts business masterclass, creator therapy session, and cosmic pep talk for anyone who's ready to create their own lane instead of waiting to be picked. Connect with us! Host: Whitney Uland → @whitneyuland Guest: Cat Goetze → @askcatgpt Learn more about your ad choices. Visit megaphone.fm/adchoices

In this week's episode we're talking about the top 3 labs you should be running after a miscarriage. These are three things I help my clients order or advocate for immediately - and often are being missed in a fertility work up. Losses do happen, but there are risk factors we can control (that are also backed by science). Find out which ones I feel are important to start with!   Other Resources: Join me inside our free 5-day Fertility Confidence Bootcamp starting March 9th.   Learn more about chemical pregnancies in E152.   Learn more about tracking ovulation in E105.   Get my complete fertility lab guide + be able to interpret your own results inside Fertility Labs 101.   Want a full action plan + my coaching through your fertility journey? Come join me inside Fertility Confidence Method. You can learn more here.  

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

Hiring can feel like a huge big leap. It's expensive. It's vulnerable to let other people into your business. And if you've been doing everything yourself, it can also feel maybe unnecessary.  But what if building a team isn't a risk? It's actually a smart move for stabilizing and scaling your business. That's what we're digging into today with Angie Chua of bobo design studio and bobo Palm Springs. You may remember Angie from episode 426 where we talked about what's happening with Amazon right now using AI to scrape websites. Today's conversation is more personal. We're talking about her evolution from the digital advertising world to building a travel-inspired stationery brand and a thriving brick-and-mortar shop in Palm Springs.  Angie shares what it was really like growing her business, the missteps, the hiring decisions, the moments of doubt that we all kind of face, and also the shifts that helped her step into true leadership.  We talk about what happens when you hire your first employee, what it takes to let go of control, the reality of outsourcing to agency, and what that looked like for Angie, including what worked and what didn't, and why having a solid bookkeeper isn't optional if you want to scale a product-based business sustainably.  She also opened up about her commitment to supporting artists from marginalized communities, how she navigates the seasonality of retail in Palm Springs, and what it looks like to practice self-compassion while growing a business. This is a grounded, honest conversation about growth, not a highlight reel, but the real version. Today's episode is brought to you by Digital Lizard, a sponsor of our Paper Camp program, which kicks off this week.  Digital Lizard is a full-service marketing and print partner offering digital and offset printing, sourcing, procurement, and logistics. Our Paper Camp and LABS students get access to a private Proof to Product print portal.  In that portal, you'll get discounted rates and a dedicated sales rep who supports project management from start to finish.  Also, Digital Lizard tends to turn stuff around same day or or next day. Many of our community members use Digital Lizard for product printing, packaging, catalogs, and marketing materials. They offer low minimum quantities and fast turnaround times, which matters when you're managing inventory and cash flow. If you're looking for a reliable print partner, you can learn more about their capabilities at digitallizard.com. You can view full show notes and more at http://prooftoproduct.com/433  Quick Links: Free Wholesale Audio Series Free Resources Library Free Email Marketing for Product Makers PTP LABS Paper Camp

Midlife weight loss can feel impossible — especially when you're doing "everything right" and your labs look normal. In this episode, Erica sits down with Shay Pascale to break down what actually drives sustainable body composition in midlife: muscle-centric nutrition, progressive strength training, reverse dieting for under-eaters, gut testing when nothing works, and a balanced conversation about GLP-1s. If you're tired of dieting and ready for real metabolic clarity, this one is for you. Shay's website: thebodybulletin.com Free masterclass: thebodybulletin.com/masterclass Instagram: @thebodybulletin TikTok: @shaypascale   Erica's website: wwww.ericaziel.com IG instagram.com/ericaziel Free Pelvic Floor Guide: https://www.ericaziel.com/pelvicfloor   

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

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