Podcasts about injecting

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Welcome back to season 15!Have you noticed that peptides are everywhere at the moment? In our serums, moisturisers, toners and even injectables? What's the fuss? Can they really do enough to warrant the hype? Should we bother using them? More importantly, should we be injecting them? Dr Memee Ahamd, Co-Founder and Medical Director of SkinCouture in London and a specialist in regenerative aesthetics is here to tell us what's worth it, what's not, how to fit peptides into your routine, and gives us the verdict on the injectable trend you've been seeing all over your feed. Also in this week's ep - why you might need to consider a shower filter, two new tinted lip products reviewed, and, of course, our MVPs.Enjoy! Links below as promisedShower filterEarths Water Premium Shower Water FilterLoreal Professional Metal Detox New tinted lip balmsVaseline Gluta-Hya Lip Serum Gloss Rosy PinkLanolips Ceramide Milkshake Tinted Lip Balm in Caramel MeltMVPsMedicube Zero Pore Pads MildMedik8 Liquid Peptides Advanced MPPeptides with Dr MemeeAllies of Skin Multi Peptides & Growth Factors Advanced Lifting Serum (not available in Aus yet)Medik8 Liquid Peptides⁠⁠Medik8 Liquid Peptides Advanced MP⁠Naturium Multi-Peptide Advanced SerumFollow Dr Memee on Instagram: @drmemeeclinicFollow Dr Memee on TikTok: @dr_memeeSupport TBP with a tip or donation at ko-fi.com/thatbeautypodcast*We use some affiliate links here and we may earn a small commission if you decide to make a purchase. Thanks for your support!Credits:Your hosts & producers: Carli Alman & Bettina Tyrrell.Thanks to our guest, Dr Memee AhmadFollow us on Instagram: @thatbeautypodcastFollow us on Tiktok: @thatbeautypodcastJoin us on Facebook: https://www.facebook.com/groups/260952718436828/

Merchants Quay Ireland opened Ireland's first supervised drug injecting facility in December 2024, but more centers may open in the near future. TDs have called for Cork to open an injection centre, and the Department of Health has confirmed interest in opening centres in both Cork and Limerick.Joining Shane to discuss is Eddie Mullins, the CEO of Merchants Quay Ireland.

About 50 years ago, Dutch elm disease wiped out most of the American elm trees, but some survived. Now, scientists in Vermont are injecting these trees and saplings with the disease to identify and breed more resistant elms. They hope to bring more big American elms back to the East Coast.

Scientists with the Nature Conservancy and Forest Service have been raising American elms that are bred to be resistant to Dutch elm disease at two sites in Vermont. Now, they're injecting them with the fungus to see what happens.

New South Wales' only medically supervised injecting centre is calling for urgent legal reform to allow more sites to open across the state. It has been 25 years since the centre opened in Sydney's Kings Cross, becoming the first supervised injecting facility in the Southern Hemisphere. Staff have since supervised more than 1.3 million injections, managed more than 12-thousand overdoses without a single death, and made more than 25-thousand referrals for treatment and care. For more, SBS spoke with the centre's Medical Director Dr Marianne Jauncey.New South Wales' only medically supervised injecting centre is calling for urgent legal reform to allow more sites to open across the state.It has been 25 years since the centre opened in Sydney's Kings Cross, becoming the first supervised injecting facility in the Southern Hemisphere.Staff have since supervised more than 1.3 million injections, managed more than 12-thousand overdoses without a single death, and made more than 25-thousand referrals for treatment and care.For more, SBS spoke with the centre's Medical Director Dr Marianne Jauncey.

Matthew Bown of Camp Phillip joins the show for a conversation exploring the high standards set by faith and how cultural exceptions undermine spiritual growth. Charlie and Matthew then explore the role of honesty and integrity in adhering to divine standards.Chapters00:00 Introduction to Camp Philip and Its Mission05:43 Exploring Camp Philip's Programs and Offerings08:52 The Unique Culture of Camp Philip12:03 Protecting Your Eden: Philosophy and Practice14:47 Building Relationships and Community at Camp17:56 The Role of Leadership in Shaping Culture20:43 Addressing Challenges and High Standards23:46 Influence and Leadership Dynamics26:54 Recognizing and Resisting Negative Influences30:00 The Importance of Prayer and Care in Leadership32:40 Conclusion: Living Out the Camp Philip Culture42:33 Leadership and Standards in Camp Management43:02 Implementing Leadership Programs: Protecting Your Eden44:18 Investing in Staff: Building Relationships and Trust46:35 Addressing Non-Buy-In: Conversations with Staff47:15 Compassionate Leadership: Navigating Challenges with Grace52:54 Influence of the World: Building a Culture of Love59:24 Law and Gospel: The Foundation of Leadership01:04:07 Injecting the Gospel into Conversations01:15:02 Finding Purpose: Matthew's Journey at Camp Philip01:21:55 charlieungemach-outro (1).mp4Matthew's Links:Camp Phillip General info: campphillip.comThe Chameleon Song: https://open.spotify.com/track/0zXdZVsMqGC0Ay0pdjJ5P1Gird Up Links:https://youtube.com/@girdupministries4911?si=tbCa0SOiluVl8UFxhttps://www.instagram.com/girdup_be_a_man/https://www.girdupministries.com

Why do patients refuse statins backed by decades of data in millions of people yet eagerly inject peptides tested in fewer than 20? Emergency medicine physician and longevity practitioner Vikas Patel confronts this paradox head-on. In this episode, based on his KevinMD article "Why the FDA regulations on peptide therapy matter," he breaks down what compounds like BPC-157 actually promise, what the evidence really shows, and why the gap between anecdotal hype and clinical proof should concern both physicians and patients. You will learn how the erosion of trust in medicine through the COVID years fueled demand for unregulated therapies promoted on podcasts and social media, why physicians who take an absolutist stance risk pushing patients further from reliable guidance, and how reframing long-term statin data dramatically changes the risk conversation. Patel also shares his practical approach to meeting patients where they are without compromising scientific integrity, and why he believes at least a handful of popular peptides will eventually prove their worth if anyone bothers to study them. If you want to have smarter conversations with patients about peptide therapy and rebuilding trust, press play. Tune into our episode "2026 Cholesterol Guidelines: LDL goals, lipoprotein(a), and coronary calcium scoring," brought to you by Novartis Pharmaceuticals Corporation. For the first time in eight years, LDL cholesterol goals have changed, and preventive cardiologist Seth Baum says the new guidelines are a long-overdue course correction. He breaks down the new LDL targets for your highest-risk patients, why the LDL hypothesis should be retired in favor of the LDL fact, why lipoprotein(a) screening finally belongs in every patient's workup, what a coronary calcium score over 300 really means for how aggressively you treat, and how to talk to statin-skeptical patients without losing their trust. Listen now at KevinMD.com/cholesterol. VISIT SPONSOR → https://kevinmd.com/cholesterol Partner with me on the KevinMD platform. With over three million monthly readers and half a million social media followers, I give you direct access to the doctors and patients who matter most. Whether you need a sponsored article, email campaign, video interview, or a spot right here on the podcast, I offer the trusted space your brand deserves to be heard. Let's work together to tell your story. PARTNER WITH KEVINMD → https://kevinmd.com/influencer SUBSCRIBE TO THE PODCAST → https://www.kevinmd.com/podcast RECOMMENDED BY KEVINMD → https://www.kevinmd.com/recommended

What if parents were given only half the conversation before making one of the biggest medical decisions for their children? In this episode of Know Better | Do Better, Autumn sits down with Angela, healthcare professional, mother, and creator of Injecting Truth, to discuss vaccines, informed consent, medical freedom, package inserts, adverse event reporting systems, and the questions many families never realize to ask. After her son experienced a reaction following his two-month visit, Angela began researching for herself and quickly discovered a side of the conversation she says is rarely discussed inside traditional medical settings.  Together, they explore vaccine ingredients, aluminum exposure, informed consent, VAERS reporting, safety studies, chronic illness, childhood health, and why more parents are beginning to question the "safe and effective" narrative they've been told for years. Whether you agree, disagree, or are simply curious, this episode challenges listeners to think deeper, ask questions, and understand the importance of informed medical decisions.  In this episode: • What informed consent should actually look like  • Vaccine ingredients and package inserts  • Why VAERS reporting matters  • Concerns surrounding aluminum and other additives  • How adverse reactions are often dismissed  • Why more parents are questioning vaccines  • The importance of researching primary sources  • Medical freedom, autonomy, and advocacy  Sometimes the most important questions are the ones nobody told you to ask. ✴️ Connect with Angela on Facebook & Instagram     

In this episode, Foley's barristers Glen Pauline and Duncan Willis discuss the cases of Leon Cycle Pty Ltd v Hi5 Scooters Pty Ltd and LCA Traralgon v Ashlee Johnson. They look at how these two cases played out, and lessons learned for those drafting franchising agreements and involved in franchising disputes.

This episode is about energy, standards, and the habits shaping your entire life.Ashley shares three powerful shifts that elevated her relationships, career, and sense of self, rooted in real experience, not theory.If you've been feeling stuck, disconnected, or out of alignment, this is your reset.You'll walk away thinking differently about:The rooms you're inThe way you care for yourselfThe life you're actually buildingReminder: You either learn or you thrive. Either way, you win.Private Hands-On Advanced Facial Training & Virtual MentorshipJune 14th 2026 Slow Flow & Sculpt 1 Day Workshop in Orange County, CA // Registration Closes May 15th 20262-Day Intensive Golden Touch Workshop ApplicationWorkshop & Retreat WaitlistFree Golden Experience Guide Monthly Publication

Lyn sits down with Jeff Abraham, the CEO of Promescent, to discuss a new innovative solution to premature ejaculation, plus the intricacies of sexual wellness and intimacy.  Jeff shares his unconventional journey from semiconductor engineering to sexual wellness and provides deep insights into common intimacy issues like premature ejaculation and the arousal gap between partners. The conversation highlights the critical role of communication and education in overcoming the shame often associated with sexual health and the importance of creating a judgment-free environment to encourage deeper connection and a more fulfilling intimate life. KEY TAKEAWAYS On average, men last about 5 minutes and 42 seconds during intercourse, while women may need about 18 minutes to reach climax, making it important to find ways to bridge this gap. Open, honest, and non-judgmental communication about sexual needs and preferences is the most essential tool for any couple to enhance their intimate relationship. Injecting anxiety into intimacy only makes a problem worse; using products like delay sprays can help men focus on their partner rather than their own performance. There should be no shame in seeking help or using products to improve sexual wellness, just as one would not feel guilty for taking medicine for any other health condition. BEST MOMENTS "I tell people that I probably took the most circuitous route in the history of sexual wellness to become the CEO of a sexual wellness company." "Anxiety and intimacy are two completely separate emotions and they should never interact. Injecting anxiety into intimacy only makes it worse, not better." "Communication is probably the best tool in any lover's tool bag because no matter how good the physical aspect of intimacy is, if you're not communicating, things might not be as good for your partner." "Why don't we spend as much time and energy keeping that person by having the best intimacy you can have as we do attracting that person?" ABOUT THE GUEST ABOUT THE HOST Lyn Smith – (The Queen of HEARTS) – Love, Dating & Relationship Expert Lyn's personal story is a very inspirational and harrowing one of how she went from having unhealthy and unfulfilling relationships with men (on the back of several serious traumatic sexual assaults in her teens) to now feeling safe, fulfilled, alive, full of passion and having inner peace. She has a proven track record as a Love Solutions - Relationship Expert/ Trainer/ Inspirational Speaker and Best-Selling Author based upon her own vast personal research, experiential learning and training with the world's leading industry experts. Lyn makes a difference by helping you make a difference; she has a vision of contributing back on a global scale. Contact Method lyn@hearts-entwined.com This Podcast has been brought to you by Disruptive Media. ⁠https://disruptivemedia.co.uk/

Peptides are everywhere right now: weight loss, skin care, muscle recovery, tanning. We got the President of the Australian Medical Association Dr Danielle McMullen on the phone to explain what they actually are and why the ones being sold online are a problem. Short version: the approved ones prescribed by doctors are fine, but the unregulated ones sold online may have never been tested on humans, can cause cancer, blindness or kidney damage, and often say not for human use right next to the injection instructions. Also it turned out she used to be Tim's GP which raised more questions than it answered.See omnystudio.com/listener for privacy information.

Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z's legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change.This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube!We discuss:* Marc's long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today's moment as the culmination of decades of compounding technical progress* Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not* AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong* Scaling laws, Moore's Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models* The dot-com crash and AI infrastructure risk: Marc's comparison between today's AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here* Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints* Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI* American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they're free but because they teach the world how things work, and how open source strategies may shift as the market consolidates* Why Pi and OpenClaw matter so much: Marc's claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades* Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is* The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept* Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems* Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first* Proof of human vs. proof of bot: why Marc thinks the internet's bot problem is now unsolvable via detection alone, and why biometric + cryptographic proof of human becomes necessaryTimestamps* 00:00 Marc on AI's “80-Year Overnight Success”* 00:01 A Quick Message From swyx* 01:44 Inside a16z With Marc Andreessen* 02:13 The Truth About a16z's AI Pivot* 03:29 Why This AI Boom Is Not Like 2016* 06:33 Marc on AI Winters, Hype Cycles, and What's Different Now* 10:09 Reasoning, Coding, Agents, and the New AI Breakthroughs* 12:13 What Founders Should Build as Models Keep Improving* 16:33 AI Capex, GPU Shortages, and the Dot-Com Crash Analogy* 24:54 Open Source AI, Edge Inference, and Why It Matters* 33:03 Why OpenClaw and PI Could Change Software Forever* 41:37 Agents, the End of Interfaces, and Software for Bots* 46:47 Do Programming Languages Even Have a Future?* 54:19 AI Agents Need Money: Payments, Crypto, and Stablecoins* 56:59 Proof of Human, Internet Bots, and the Drone Problem* 01:06:12 AI, Management, and the Return of Founder-Led Companies* 01:12:23 Why the Real Economy May Resist AI Longer Than Expected* 01:15:53 Closing ThoughtsTranscriptMarc: Something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic. Having said that, I think what's actually happened is an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years where that was controversial. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right?Which is like, it's an overnight success ‘cause it's like bam, you know, chat GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.If I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough.swyx: Before we get into today's episode, I just have a small message for listeners. Thank you. We will not be able to bring you the ai, engineering, science, and entertainment contents that you so clearly want if you didn't choose to also click in and tune into our content.We've been approached by sponsors on an almost daily basis, but fortunately enough of you actually subscribed to us to keep all this sustainable without ads, and we wanna keep it that way. But I just have one favor to ask all of you. The single, most powerful, completely free thing you can do is to click that subscribe button.It's the only thing I'll ever ask of you, and it means absolutely everything to me and my team that works so hard to bring the in space to you each and every week. If you do it, I promise you will never stop working to make the show even better. Now, let's get into it.Alessio: Hey everyone, welcome to the Lidian Space Pockets. This is CIO, founder Kernel Labs, and I'm joined by s Swix, editor of Lidian Space.swyx: Hello. And we're in a 16 Z with a, uh, mark G and welcome.Marc: Yes, yes. A and what, half of 16? Something like that. A one. Exactly,swyx: exactly. Uh, apparently this is the, the final few days in your, your current office.You're moving across the road.Marc: Uh, we're, yeah. We have a, we have some, we have some projects underway, but yeah, this is actually, oh, this is the original. We're in actually the original office. We're in the, we're in the, we're, we're in the whole thing.swyx: It's beautiful. Yeah. Great.Marc: Thank you.swyx: So I have to come out, uh, this is a, you know, I wanted to pick a spicy start in October, 2022.I just made friends with Roone and, uh, I wanted to give him something to sort of be spicy about. And I said, uh. Uh, it'll never not be funny. The A 16 Z was constantly going. The future is where the smart people choose to spend their time and then going deep into crypto and not in ai. And that was in October 22nd, 2022.And Ruen says there was an internal meeting in a 16 Z to reorient around Gen ai. Obviously you have, but was there a meeting? What, what was that?Marc: I mean, I don't, look, I've been doing AI since the late eighties.swyx: Yeah.Marc: So I, I don't know, like all that, as far as I'm concerned, this stuff is all Johnny cum lately.Yeah. You, I mean, look, we've been doing ar entire existence. I mean, we've been doing AI machine learning deep, you know, deeply. We've been doing this stuff way from the beginning. Obviously a AI is just core to computer science. I, I, I actually view them as like quite, uh, quite continuous. Um, you know, Ben and I both have computer science degrees.Um, you know, we, we both, Ben, Ben and I actually both are world enough to remember the actual AI boom in the 1980s. Yeah. There was like a, there was a big AI boom at the time. Um, and there was a, was names like expert systems. Um, and they of like lisp and lisp machines. Uh, I, I coded in lisp. I was coding a lisp in 1989.When that was the, the language of the AI future. Um, yeah. So this is something that we're like completely, you completely comfortable with. I've been doing the whole time and are very enthusiastic aboutswyx: is there a strong, like this time is different because, uh, my closest analog was 20 16 17. It was an AI boom.Mm-hmm. And it petered out very, very quickly. Um, we, it just, it just in terms of investingMarc: sort of, sort of,swyx: yeah. Investment, investment excitement.Marc: Although that's really when the, the, the Nvidia phenomenon really, it was, I would say it was in that period when it was very clear that at, at the time it, the vocabulary was more machine learning, but it, it was very clear at that time that machine learning was hitting some sort of takeoff point.Alessio: Yeah.Marc: Well, and as you guys, you guys have talked about this at length on, on your thing, but, you know, if you really track what happened, I think the real story is, it was, it was the Alex net, uh, basically breakthrough in like 2013. That was the, that was the real knee in the curve. Um, and then it was obviously the transformer breakthrough in 17.Alessio: Yeah.Marc: Um, and then everything that followed. But, but, you know, look, machine learning, you know, there were, you know, look, uh, I mean look, I've been working, you know, I've been working with, uh, one of my, you know, kind of projects working with Facebook since 2004. Um, and on the board since 2007, and of course, you know, they, they started using machine learning very early, um, and, you know, have used it basically, you know, for like 20 years for, you know, content, you know, feed optimization and advertising optimization.And obviously many, you know, financial services. You know, many, many, many companies, many different sectors have been doing this. And so it's like one of these things, it's like, it's not a, it's not a single thing. Like it's, it's like, it's like layers, right? Yeah. Um, and, and the layers arrive at different paces and, but they kind of build up.swyx: Yeah.Marc: Uh, they kind of build up over time and then, and then, yeah. And then look, in retrospect, it was 2017 was kind of the, you know, the key, the key point with the trans transformer and then. And then as you guys know, there was this really weird like four year period where it's like the, the transformer existed and then it was just like,swyx: let's go.Yeah.Marc: Well, but, but it was just, but, but between 2020, but between 2017 and 2021, I mean, that was the era of which like companies like Google had internal chat Botts, but they weren't letting anybody use them.swyx: Yeah.Marc: Right. And then, you know, and then OpenAI developed Chat GT or GPT two, and then they told everybody, this is way too dangerous to deploy.Right. Yeah. You know, we can't possibly let normal people, normal people use this thing. And then you, you guys, I'm sure remember AI Dungeon, um mm-hmm. So the o for, there was like a year where like the only way for a normal person to use GP T three was in, in AI dungeon.Alessio: Yeah.Marc: And so you, you, we would do this, you'd go in there and you'd pretend to play Dungeons and Dragons.In reality, you're just trying to talk to talk to GPT. And so there was this, you know, there was this long, you know, and I, you know, the big, big companies, you know, big companies are cautious and, you know, the big companies were cautious. It, it, by the way, it took open ai. You know, they, they, they talk about this, it took open AI time to actually adjust, you know, kind of re redirect their researchswyx: path.I, I think, uh, let say Rosewood, right? Uh, the, the dinner that founded OpenAI was right there.Marc: Right, right. But that, that dinner would've taken place in 20swyx: 18Marc: 19. The formation of OpenAI Uhhuh as late as 2018.swyx: Uh, uh, sorry. Uh, no, I'm, I'm, I'm, I'm wrong. Probably It should be 20. Yeah. They just celebrated a 10 year anniversary, so it it is 2025.Yeah, so, so 2015?Marc: Yeah. 2015. Yeah. 2015. But then, uh, um, Alec Radford did G PT one in what, probablyswyx: mm-hmm. 17, 18,Marc: yeah. 17, 18. So it, yeah. For, and then, and then they didn't really, and then GPT three was what? 2020? 2020.swyx: 2020.Marc: Because that became copilot immediately. Even open ai, which has been, you know, the leader of, of this thing in the last decade, you know, e even they had to adapt and, and, and lean into the new thing.And so. Um, yeah, I, I think it's just this process of basically sort of wave after wave layer after layer, you know, building on itself. And then you kind of get these catalytic moments where, where the whole thing pops and, and obviously that's what's happening now.swyx: Is it useful to think about will there be any ai, winter?‘cause there's always these patterns. Like, is this, in the summer is something I constantly think about because do I get, do I just like. Just get endlessly hyped and just trust that I will only be early and never wrong or right. Well, are we, will there be a winter?Marc: So there's something about, say the following.There's something about AI that has led to this repeated pattern. Um, and, and, and you guys know this,swyx: it's summer, winter, summer,Marc: winter, summer, winter, summer, winter. And it goes back 80 years. Yeah. 80 years. Uh, so the original neural network paper was 1943. Right. Which is, which is amazing. Uh, that it was, it was far back that long.And then there was you, if you guys have ever talked about this on your show, but there was this, uh, there was a big, uh, there was an a GI conference at Dartmouth University in 1950. 55. 55, yeah. And they got a NSF grant to, uh, for the, all the AI experts at the time to spend the summer together. And they figured if they had 10 weeks together, they could get a GI, uh, at the other end.And they got their, by the way, they got the grant, they got the 10 weeks and then, you know, 1955, you know. No, no. A GI. And like I said, I, I lived through the eighties version of this where there was a big, a big boom and a crash. And so, so there is this thing, and there, there is something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic.Um, and, and it's probably on both sides of like the, the, the boom bus cycle. You, you kind of see that play out. Having said that, I think what's actually happened is like just, and you know, and we now know in retrospect like an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years or that was controversial. And, and we now know that that's the case. And so we, we now, you know, everything we're building on today just sort of derives from the original idea in 1943. And so, so in retrospect, we, we now know that like, these, these guys are right.They, they, you know, they would get the timing wrong and they thought, you know, capabilities would arrive faster, or they were, it could be turned into businesses sooner or whatever, but like, they were fundamentally, the, the scientists who worked on this over the course of decades were fundamentally correct about what they were doing.And, and the, and the payoff from, from, from all their work is happening now. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success.‘cause it's like bam, you know, chat, GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.Um, and thinking, and look, there were AI researchers who spent their entire lives. They got their PhD. They, they worked for, they've researched for 40 years. They retired in a lot of cases, they passed away and they never actually saw it work.swyx: Yeah. It's all sad.Marc: It is. It is sad. It's sad. Knewswyx: Jeff Hinton was like the last guy.Marc: Yeah. Yeah. Well, there were the guys, uh, was a guy, Alan Newell. I mean, there's tons of John McCarthy. You know, John McCarthy was like one of the inventors in the field. He's one of the guys who organized the Dartmouth Conference and you know, he taught at Stanford for 40 years. Wow. And passed, you know, passed away, I don't know, whatever, 10, 10 years ago or something.Never, never actually go. Got to see it happen. But like, it is amazing in retrospect, like, these guys were incredibly smart and they worked really hard and they were correct. So anyway, so then it's like, okay, you know, say history doesn't repeat, but it rhymes. It's like, okay, does that mean that there's gonna be another, like, you know, basically boom buzz cycle.And I, I will tell you, like, let, like in a sense, like yes, everything goes through cycles and, you know, people get overly enthusiastic and overly depressed and there's, there's a time, there's a timelessness to that. Having said that, there's just no question. Um, so the form, the foremost dangerous words in investing this time are, this time is different.Do you know the 12 most dangerous words investing? No. The four most d foremost dangerous words in investing are this time is different. Yeah. Um, the 12 most dangerous words. And so like, I'll tell you what's different. Like now it's working like, like there's just no, I mean, look, there's just no question.And by the way, I, I'll just give you guys my take. Like L LLMs, like from, from basically the Chad G PT moment through to spring of 25. I think you could still, I think well intention, well, and of. Form skeptics could still say, oh, this is just pattern completion. And oh, these things don't really understand what they're doing.And you know, the hall hallucination rates are way too high. And, you know, this is gonna be great for creative writing and creating, you know, Shakespeare and so sonnets and, you know, as, as rap lyrics or whatever, like, it's gonna be great and all that stuff, but we're not gonna be able to harness this to make this relevant in, you know, coding or in medicine or in law or in, you know, you know, kind of feels that, you know, kind of really, really matter.And I think basically it was the reasoning breakthrough. It, it was oh one and then R one that basically answered that question basically said, oh no, we're gonna be able to actually turn this into something that's gonna work in the real world. And, and then obviously the coding breakthrough over the, over basically the coding breakthrough that kind of catalyzed over the holiday break was kind of the third step in that.Mm-hmm. Where you're just like, alright, if, if, you know, if Linus Tova is saying that the AI coding is no better than he is like. Like, that's, that's never happened before. That's theswyx: benchmark.Marc: Yeah. That's never happened before. And so now we know that it's, it's gonna sweep through coding and, and then, and then we, we know, you know, we know that if it's gonna work in coding, it's gonna work in everything else.Right. It's just then, because that's, that's like, that's like, that's like the hardest in many ways. That's the hardest example. And how everything else is gonna be a, a derivative of that. And then on top of that, we just got the agent breakthrough, you know, with Open Claw, which is fantastic. Which is amazing and incredibly powerful.And then we just got the, the, um, the auto research, uh, you know, the, the self-improvement. You know, we're now into the self-improvement breakthrough. And so the, so the way I think about it is we've had four fundamental breakthroughs in functionality, l OMS reasoning, uh, agents, um, and then, uh, and, and then now RSI, um, and, and they're all actually working.Um, and so I'm, I'm just, as you like, you can tell I'm jumping outta my shoes. Like, like this is, like this is it like this, this is the culmination of 80 years worth of worth of work, and this is the time it's becoming real.Alessio: Yeah.Marc: I, I'm completely convinced.Alessio: I think the anxiety that people feel is like during the transistor era, yet Mors law, and it's like, all right, we understand why these things are getting better.We understand the physics of it. Yeah. With ai, it's. It's so jagged in like the jumps where like, like you said, it's like in three months you have like this huge jump like, and people are like, well this can keep happening. Right? But then it keeps happening,Marc: it'll keep happening.Alessio: And so like how do you think about also timelines of like what's we're building?I think we always have this question with guests, which is like, you know, should you spend time building harness for a model versus like the next model just gonna do it one shot in the lead space. Right. And how does that inform, like how you think about the shape of the technology? You know, you talk about how it's a new computing platform.If you have a computing platform, then like every six months it like drastically changes in what it looks like. It's hard to build companies on top of it.Marc: Yeah. So, so a couple things. So one is like, look, the, the Moore's law was what we now call a scaling law. Like Moore's Law was a scaling law and for your younger viewers, more Moore's Law was every chip chip chips either get twice as powerful or twice as cheap every, every 18 months.And that, and that and that, you know, that it's gotten more complicated in the last few years. But like that, that was like the 50 year trajectory of, of, of the computer industry. And then, and then by the way, and that's what took the mainframe computer from a $25 million current dollar thing into, you know, the phone in your pocket being, you know, a million times more powerful than that.Like that, you know, for, for 500 bucks. And so that, that was a scaling law. And then, and then, and then key to any scaling law, including Moore's Law and the AI scaling laws is, you know, they're not really laws, right? They're, they're, they're, they're predictions, but when they work, they become self-fulfilling predictions because they, they, they, they, they set a benchmark and, and then the entire industry, right?All the smart people in the industry kind of work to make sure that, that, that actually happens. And so they, they kind of motivate the breakthroughs that are required to, to keep that going. And, and in and in chips, that was a 50 year, that was a 50 year run. Right. And it, it was amazing. And it's still happening in, in some areas of, of chips.I think the same thing is happening with the, the core scaling laws. The core scaling laws. In, in, in ai, you know, they're, they're not really laws, but like they, they are basically. There are predictions and then they're motivating catalysts for the research work that is required to be. And, and, and, and by the way, also the investment, uh, dollars, um, uh, you know, required to basically keep, you know, keep the curves going and, and look, it, it is, it's gonna be complicated and it's gonna be variable and they're, you know, there're gonna be walls that are gonna look like they're fast approaching, and then they're gonna be, you know, engineers are gonna get to work and they're gonna figure out a way to punch through the walls.And obviously that's, you know, that's been happening a lot, you know, and then look, there's gonna be times when it looks like the walls have, you know, the, the, the laws have petered out and then they're gonna, they're gonna pick up again and surge and then, and then, and then it, it appears what's happening to the eyes is there's not multiple, you know, multiple scaling laws.Um, there's multiple areas of improvement. And, and I think, you know, I don't know how many more there are already yet to be discovered, but there are probably some more that we don't know about yet. You know, they, like, for example, there's probably some scaling law around, um, world models and robotics that we don't fully understand, you know, kind of acquisition of data at scale in the real world that we don't fully understand yet.So that, that, that one will probably kick in at some point here. There's a bunch of really smart people working on that. Um, and so, yeah, I, I think the expectation is that, that, you know, the, the scaling laws generally are gonna continue. Yeah. The, the pace of improvement will continue to move really fast.Um. To your question on like what to build. So, uh, I'm a complete believer the scaling laws are gonna continue. I'm a complete believer the capabilities are gonna keep getting amazing, um, you know, leaps and bounds. Uh, the part where I kind of part ways a little bit with how, what I would describe as the AI purists, um, you know, which is, which I would characterize as like the people who are.In many ways, the smartest people in the field, but also the people who spend their entire life, like at a lab, um, and have, have, I would say, have very little experience in the outside world. Um, the, the, the nuance I would offer is the outside world of 8 billion people and institutions and governments and companies and economic systems and social systems is really complicated.Um, and, um, and doesn't, you know, it it 8 billion people making collective decisions on planet Earth is not a simple process of like, just like you see this happening now. It's like a bunch of AI CEOs have this thing, which is just like, well, there's just this, they just all have this kind of thing when they talk in public where they're just like, well, there's these, these obvious set of things that so society to do.Alessio: Mm-hmm.Marc: And then they're like, society's not doing any of those things. Right. And it's like, how can society not, you know, what, whatever their theory is, how can society not see x, y, Z? Mm-hmm. And the answer is, well, society is number one. There's no single society, it's like 8 billion people. And they like all have a voice, and they all have a vote, like at the end of the day of how they, they react to change.And then, you know, it just like, it's just human reality is just really complicated and messy. Um, and, and, and so the specific answer to your question is like, as usual, it depends. Um, you know, it, it depends. Look, pe there's no question people are gonna, like, there's no question they're gonna be companies.It's already happening. There are companies that think that they're building value on top of the models and then they're just gonna get blissed by the, by the next model. There's no question that's happening. But I think there's no question also that just the process of adaptation of any technology into the real and into the real messy world of humanity is, is just going to be messy and complicated.It's, it's not going to be simple and straightforward. It's gonna be messy and complicated. And there are gonna be a lot of companies and a lot of products, um, uh, and in, in fact entire industries that are gonna get built to, to, to basically actually help all of this technology actually reach real people.Alessio: The amount of capital going into these companies, I mean, Dario talked about it on the Door Cash podcast and Door Cash was like, why don't you just buy 10 x more GPUs? And he is like, because I'm gonna go bankrupt if the model doesn't exactly hit the, the performance level. How do you think about that?Also as a risk on, you know, you guys are investors, open AI and thinking machines and world apps. It seems like we're leveraging the scaling loss at a pretty high rate, right? Like how comfortable, I guess, do you feel with the downside scenario, like, and say like things Peter out, you think you can kind of like restructure uh, these build outs and uh, you know, capital investments.Marc: Yeah. So should start by saying, so I live through the.com crash, um, and I can tell you stories for hours about the.com crash and it was horrible. No, it was awful. It was, it was, it was apocalyptic by the way. The, a lot of the.com crash was actually at the time, it was actually a telecom crash. It was a bandwidth crash.Like the, the thing that actually crashed, that wiped out all the money with the tele, the telecom companies.swyx: GlobalMarc: crossing. Global, global, yeah.swyx: I'm from Singapore and they, they laid so much cable o over over our oceans.Marc: Actually there was a scaling law in the.com. Era. And it was literally the, the US Commerce Department put out a report in 1996 and they said internet traffic was doubling every quarter.Um, and, and actually in 1995 and 1996, internet traffic actually did double every quarter. And so that became the scaling law. And so what all these telecom entrepreneurs did was they went out and they raised money to build fiber, anticipating that the demand for bandwidth is gonna keep doubling every quarter.Doubling every quarter though is like, you know, grains of chess and the chessboard, like at some point the numbers become extremely large. Right. And, and, and it really, and really what happened was the internet. The internet by the way, continuously kept growing basically since inception. And it's, you know, it's, it's continuously grown.It's never shrunk. And it's grown really fast compared to anything else. Mm-hmm. You know, in, in, in human history. But it wasn't doubling every quarter as of 19 98, 19 99. And so there was this gap in the expectation of what they thought was a scaling law versus reality. And that's actually what caused the.com crash, which was the, it they, they way over companies like global crossing way overbuilt fiber, which is sort of the, and by the way, fiber, telecom equipment, you know, so all the, all the networking gear, you know, and then, and then by the way, the actual physical data centers, like that was the beginning of the, of the, of the data center build and then, and the data center overbuild.And so you had that, but it was, it was literally, I think it was like $2 trillion got wiped out, right? It was like Jesus, it was like a big, it was. And by the way, the other, the other subtlety in it was the internet companies themselves never really had any debt. ‘cause tech, tech companies generally don't run on debt, but the telecom companies run on debt.Physical infrastructure companies run on debt. And so the companies like Global Crossing not just raise a lot of equity, they also raise a lot of debt. So they're highly levered. And so then you just do the thing. It's just like, okay, you have a highly levered thing where you're, you're just over, you're overbuilding capacity.Demand is growing, but not as fast as you hoped. And then boom, bankrupt. Right. And, and then it, and then it's like they say about the hotel industry, which is, it's always the third owner of a hotel that makes money. It has to go bankrupt twice, right? You have to wash out all of the over optimistic exuberance before it gets to actually a stable state.And then it makes money. So by the way, all of those data centers and all of those, all the fiber that they're in use, it's all in use today. Yeah. But 25 years later. But it, it, it took, and actually the elapsed time was, it took 15 years. It took 15 years from 2000 to 2015 to actually fill, fill up all that capacity.The cautionary warning is the, the overbuild can happen. Um, and, and, and, and, you know, you, you get into this thing where basically everybody, everybody who basically has any sort of institutional capital, it's like, wow. It's just, I, I don't know how to invest in these crazy software things. For sure I can put build data centers and for sure I can buy GPUs that I can deploy, you know, compute grids and, and all these things.Um, and so, you know, if you're a pessimist, you could look at this and you could say, wow, this is like really set up to be able to basically replicate, you know, what we went through, what we went through in 2000. Obviously that would be bad. The counter argument, which is the one I I agree with, which is the counter on, on the other side is a couple things.One is the companies that are investing all the, the companies that are investing the money are like the bluest chip of companies. And so back, back, back in the, in the do, like Global Crossing was like a, it was like an entrepreneur. It was like a, a new venture, but like the money that's being deployed now at scale is Microsoft, and, you know, and Amazon and Google, Facebook and Facebook and Nvidia and, you know, these, these, these, and, and now you know, by the way, open ai philanthropic, which are now at like, you know, really serious size, um, you know, as companies with, you know, very serious revenue.These are very large scale companies with like, lots, lots of cash, lots of debt capacity that they've, they've never used. And so th this is institutional in a way that, that really wasn't at the time. And then the other is, at least for now, every dollar that's being put into anything that results in a running GPU is being turned into revenue right away.Like so, and you guys know this, like everybody's starved for capacity, everybody's starved for compute capacity and then, you know, all the associated things, memory and, and, and interconnected and everything else. Um, data center space. And so e every dollar right now that's being put into the ground is turning into revenue.And, and it, and in fact, I actually think there's an interesting thing happening, which is because everybody starve for capacity, the models that we actually have that we can use today are inferior versions of what we would have if not for the supply constraints. That's true. Um, if Right pose a hypothetical universe in which GPUs were 10 times cheaper and 10 times more plentiful mm-hmm.The models would be much better. ‘cause you would just allocate a lot more money to training and you'd just build better models and they would be better. Um, and so we're, we're actually getting the sandbag version of the technology.swyx: Yeah. No. Everything we use is quantized because the, the labs have to keep the, the full versions,Marc: right?swyx: LikeMarc: we're not even getting the good stuff.swyx: Yeah.Marc: But, but getting the good stuff, it's, it's just, even if technical progress stops. Once there's like a much bigger build of like GPU manufacturing capacity and memory, you know, all, all the things that have to happen in the course of the next five or 10 years.Once it happens, even the current technology is gonna get, gonna get much better. And then as you know, like there's just like a million ways to use this stuff. Like there's just like a million use cases for this. Mm-hmm. Like, it, it, you know, this isn't just sending packets across a, a thing, whatever, and hoping that people find something to do with it.This is just like, oh, we apply intelligence into every domain of human activity. And then it works like incredibly well. Yeah. Um. Here's what I know, here's what I know. Um, in the next three or four year, it's like somewhere between three or four years out, basically everything is selling out. So like the, the entire supply chain is, is, is, is sold out or, or, or selling out.And so there, there's no, like, we're just gonna have like chronic supply shortage for, you know, for years to come. Um, there's going to be a response from the market that's gonna result in an enormous, you know, it's happening now. An enormous flood of investment in a new fab capacity and ev you know, every, everything else to be able to do that, at some point the supply chain constraints will unlock, you know, at least to some degree that will be another accelerant to industry growth when that happens.‘cause the products will get better and everything will get cheaper. Um, and so, so I know that's gonna happen. I know that, you know, the deployments, you know, the, the actual use cases are like really compelling. And then, like I said, you know, with reasoning and agents and so forth, like, I know they're just gonna get like much, much better from here.And so I, I, I know the capabilities are like really real and serious. I also know that the technical progress is not going to stop. It. It, it is excel. It is, is accelerating. Like the, the breakthroughs are are tremendous. I mean, even just month over month, the breakthroughs are really dramatic. And so, you know, I think if you were a cynic and there, there are cynics, you can look at 2000, you can find echoes.But I can't even imagine betting it that this is gonna like somehow disappoint and, you know, at least for years to come, I think it would be essentially suicidal to make that bet. Yeah. Um, it was that Michael Burry, uh, uh, that'sswyx: anMarc: interesting guy, huh? We'll pick on a guy. We'll pick, let's pick on one guy.We'll pick. Well ‘cause he did, he he came out with, it was, it was the, heswyx: doesn't mind.Marc: It was the Nvidia short. Right. He came with the Nvidia short. And then if you guys probably talked about this, which is the, the analysis now that like the current models are getting better faster at such a rate that if you are running an Nvidia, if you're running an Nvidia inference chip today, that's three years old, you're making more money on it today than you did three years ago because the pace of improvement of the software is, is faster than the, the, the depreciation cycle, the chip.And then my understanding is Google is running. I don't if they've, I don't know exactly what, uh, these are rumors that I've heard or maybe it's public, but, um, I think Google's running very old TPUs, very profitably. Ference. Yeah. And very profit and very profitably. Yeah. Um, and so, so it actually turns out, as far as I can tell, it's actually the opposite of the Beery thesis is actually.He was actually 180 degrees wrong. It's actually the, the, the, the old Nvidia chips are getting more valuable, which is something that's like literally never happened before. Like it's never been the case that you have an older model chip that becomes more valuable, not less valuable. And that, and again, that's an expression of the just ferocious pace of software progress.Ferocious pace of capability payoff. Yeah. Uh, that you're getting on the other side of this. And so I just, the idea of betting against that, like.swyx: Yeah. Yeah. Well, one ofMarc: my, it seems like an invitation to get your face ripped up.swyx: One of my early hits was like modeling the lifespan of the H 100 and h two hundreds and, and going like, you know, usually they advise like four to seven years and it was, you know, maybe you sort of realistically haircut cut it down to two to three.Yeah. But actually it's going up and not down. Yeah. And, and uh, that's, I mean that's, I think that's the dream. Uh, we are finding utilization and I think utilization solves all problems. Like, you can, you can find use, use cases for even like the poor, like even memory, we're having a shortage. Right. And, and even like the, the shittier versions of, of memory that we do have, we are finding use cases for it.So like That's great.Marc: Yeah.Alessio: How, how important is open source AI and kinda like edge inference in a world in which you have three years of supply crunch. Like, do you think in the, like, you know, if you fast forward like five years, like how do you think about inference, uh, in the data center versus at the edge?Marc: Well, so just to start, yeah. So I think, I think open source is very important for a bunch of reasons. I think edge, edge inference is very important for a bunch of reasons. I, I think just practically speaking, if we're just gonna have fundamental construc, supply crunches for the next, I mean, you, you guys know if you just project forward demand over the next three years, right?Yeah. Relative to supply, one of the, its main predictions you can do is what's gonna, what, what's gonna happen to the cost of, of inference in the core, uh, over the next three years? And like, it may rise dramatically, right? Like, so, so what is, and then is, is, you know, like the, the, the big model competition are subsidizing heavily right now.Right? Right. And so, so what's the, what will be the average person's, you know, per day, per month token cost, you know, three years from now to do all the things that they want to do. And I, I don't know, it's gonna. I mean, I have, you guys probably have friends, I have friends today who are paying a thousand dollars a day for open claw, for claw tokens to run open claw.Right? And so, okay. $30,000 a month. Right? And, and by the way, those, those friends have like a thousand more ideas of the things that they want their claw to do, right? Yeah. And so you, you could imagine there, there's like latent demand of up to, I don't know, five or $10,000 a day of, of, of tokens for a fully deployed, you know, per personal agent.Uh, and obviously consumers can't pay that, right? And so, so, but it gives you a sense of the fu of the fu of the future scope of demand, right? And so, so even, even if there's a 10 x improvement in price performance, that still, you know, goes to a hundred dollars a day, which is still way beyond what people can pay.Mm-hmm. So there's just gonna be like. Ferocious to me, by the way. The agent thing, the other interesting thing is I think the agent thing, so up until now, a lot of the constraints of GGPU constraints, I think the agent thing now also translates into CPU constraints. Mm-hmm. Right?swyx: CPU memory.Marc: Yes. CPU memory, right?And so, like the entire chip ecosystem is just gonna get wait,swyx: wait for network constraints, that that will be the killer.Marc: It's all bottleneck potentially for years. And so, so I, I think that Brad, and, and I think it's actually possible, I mean, generally inference costs are gonna keep coming down, but I think the, let's put it this way, the rate of decline, I think may level out here for a bit because of these supply constraints.And then at some point, maybe the lab stops subsidizing so much and that, that, that again, will be, be an issue. And so there's just gonna be so much more demand for inference than, than can be satisfied. Um, you know, kind of with the centralized model. And then, and then, you know, you guys know this, but like all the, just the dramatic, I mean just the dramatic innovations that have happened in the Apple silicon to be able to do, uh, inferences, it's quite amazing the level of effort being put.Like the open source guys are putting incredible effort into getting, you know, this recurring pattern where the big model will never run on a pc, and then six months later mm-hmm. Oh, it runs in a pc, right? It's like amazing. And there's very smart people working on that. So there's all that. And then look, there's also, you know.There's also like other, there's other motivators. There's other motivators which is just like, okay, how much trust are the big centralized model providers? You know, how much trust are they building in the market versus, you know, how much are, you know, at least for, in certain cases with some people, for certain use cases, people being like, well, I'm not willing to just like, turn everything over.So there, there, there's all the trust issues. Um, by the way, there's also just like straight up price optimization. There's many uses of AI where you don't need Einstein in the cloud. You just need like a, a a, a smart local model. There's also performance issues where you want, you know, you want, you know, you're gonna want your doorknob to have an AI model in it.Right. You know, to be able to, you know, do, um, you know, to be able to do access control. Um, obviously like everything with a chip is gonna have an AI model in it. Mm-hmm. And it, a lot of those are gonna be local. Um, and so, yeah. No, like I think, I think you're gonna have ti and then you're gonna, by the way, also wearable devices, you know, you don't wanna do a complete round trip.You want, you know, you, whatever your smart devices are, you want it to be like super low latency. Yeah.swyx: The question, do we care who makes it? Yeah. One of the biggest news this week was the collapse of AI two, the Allen Institute. Mm-hmm. One of the actual American open source model labs. Yeah. Um, and, uh, I'm not that optimistic on, on American open source.Yeah. Like you, you guys invested in MIS trial and MIS trial's doing extremely well outside of China. That's about it.Marc: Yeah. We'll see. We'll see. I look, I, number one, I do think we care. Uh, I do think we, I do think we care who makes it. Um, I would say this, the, the, the, the previous presidential administration wanted to kill it in the us Oh yeah.They wanted to drown in the bathtub. Um, and so they wanted to kill it. So at least we have a government now that actually like, actually wants it wants it to happen. And youswyx: earned to councilMarc: and Yeah. And the new and the P pcast. Yeah. So the, the, you know, this admin for whatever other political issues people have, which are many, you know, this administration has, I think a very enlightened view and in particular an enlightened view on AI and in particular on open source ai.Uh, and so they're very supportive. Um, my read is the Chi. The Chinese have a very, the various Chinese companies have a very specific reason to do open source, which is, they, they, they don't fundamentally, they don't think they can sell commercial, uh, AI outside of China right now. And or at least specifically not, not in the US for a combination of reasons.And so they, they kind of view, I think, open source AI as a bit of a loss leader against basically domestic, uh, you know, paid, paid services. And then kind of an, you know, kind of an ancillary products. You know, they're, they're very excited about it, by the way. I think it's great. I think it's great that they're doing it.Um, you know, I think Deeps seek was like a gift to the world. Um, I think. The great thing about open source, open source, the, the, the impact of open source is felt two ways. One is you, you get the software for free, but the other is you get to learn how it works, right? And so like the paper, the paper, the paper and, and the code, right?And the code. And so, like, for example, I thought this was amazing. So open comes out with L one and it's an amazing technical breakthrough, and it's just like, absolutely fantastic. But of course they don't explain how it works in detail. And then of course they hide the, they hide the reasoning traces, right?And, and then, and then, and then everybody's like, okay, this is great, but like, who's gonna be able to replicate this? Are other people gonna be able to do this? You know, is their secret sauce in there? And then our one comes out and it's just like, there's the code and there's the paper, and now the whole world knows how to do it.And then, you know, three months later, every other AI model is, is adding reasoning. And so, so you get this kind of double, like even if the Chinese models themselves are not the models that get used, the education that's taken place to the rest of the world, the information diffusion, you know, is incredibly powerful.So that happens and then, I don't know. We'll, we'll see. You know, there are a bunch of American, you know, open source, you know, ai, uh, model companies. I mean, look, there's gonna be tremendous, you know, there already is. There's, you know, there's gonna be tre there's tremendous competition, uh, among the primary model companies.You know, there's, depending on how you count, there's like four or five, you know, big co model companies now that are, you know, kind of neck and neck, uh, in different ways. Um, uh, you know, and, and, and, um, you know, and then obviously Bo Bo both X and then MetAware involved are, you know, both have huge, you know, huge attempts to, you know, kind of, to kind of leapfrog underway.And then you've got, you know, a whole fleet of startups, new companies, including a whole bunch that we're backing, that are, you know, trying to come out with different approaches. And then you've got whatever it is. I don't know how, how many, how many, like main line foundation model companies are there in China at this point?It's probably six. It'sswyx: five Tigers is what they call it. Yeah. Uh, Quinn is in questionable because there's change in leadership,Marc: right?swyx: Yeah.Marc: But that, does that include, that includes like Moonshot,swyx: yes. Can deep seek, uh, uh, ZI, um, Quinn oh one is in there.Marc: Right. And then, um, and by dance and, and then you see,swyx: ance would be like the next tier ance.They weren't as prominent. They weren't, didn't haveMarc: a leading. Yeah. But they, you at least, you know, ance is very inspiring and presumably they have more stuff coming and Tencent probably has more stuff coming and, and so forth. And so, so, so like, look, here, here would be a thing you can anticipate, which is there are not these markets, there are not going to be between the US and China right now, there's like a dozen primary foundation model companies that are like at scale, at, at some level of a critical mass.It's not gonna be a dozen in three years, right? Like, it just because these industries don't bear a dozen, it's, it's gonna be three or you know, there's gonna be three or four big winners or maybe one or two big winners. And so there's gonna be like a whole bunch of those guys that are gonna have to figure out alternate strategies.Um, and I think like open source is one of those strategies. And so I, I think you could see like a whole, i, I, I think the questions like, who's gonna do open source? I think that could change really fast. I, I think that, that, that's a very dynamic thing. I think it's very hard to predict what happens. And, and I think it's very important.swyx: NVIDIA's doing a lot.Marc: Well, I was gonna say. Well, exactly. And then you're got Nvidia and then, and then, you know, just to, again, indu, there's an old thing in business strategy, which is called, uh, commoditize Compliments. Commoditize the compliment. That's right. And so if your Jensen is just kind of obvious, of course, you wanna commoditize the software.Yeah. And he's, and to his enormous credit, he's putting enormous resources behind that. And so maybe it, maybe it's literally Nvidia and I think that would be great.Alessio: Yeah. Uh, narrative violation to European projects, uh, in the, uh, damn.swyx: I'm hosting my, uh, Europe, uh, conference soon. And I got both of them.Alessio: They got us.They got us. MarkMarc: finished. They got us, us. Well, wait a minute. Where was Peter? So where was Steinberger when he did? In AustriaAlessio: was, yeah, yeah, yeah.Marc: He was in what? He was in Vienna. Oh, he was in Vienna. And then where is he now?swyx: Uh, he's moving to sf.Marc: Okay. Okay. Alright. Okay, there we go. And then, yeah, the PI guy, right?The PI guys are European.swyx: Yeah, they're also, they're buddies inAlessio: Australia. Mario's also there. Yeah.Marc: Right. And are they, yeah, they haven't announced yet. Any sort of change changed or have theyAlessio: No, they're, they have a company there.Marc: Okay. Got, okay. Good.Alessio: Good, good,good.Alessio: Um,Marc: yeah, good.swyx: Anyways, I think pie and open cloud very important software things and, and I just wanted you to just go off on what you think.Marc: Yeah. So I think in co the, the combination of the two of them I think is one of the 10 most important softwares. Openswyx: Claw got all the attention, but Right. Talk about pie,Marc: pi pie's, kind of the Yeah. PI's, PI's kind of the architectural breakthrough for those of us who are older. There was this whole thing that was very important in the world of software basically from like 1970 to, I don't know, it still is very important, but like 19, from 1973 to like basically the creation of Linux, which is basically this, this thing used to call like the Unix mindset.Like so, so, ‘cause there were all these different, you know, theories. There are all these different operating systems and mainframes and, and then you know, all these windows and Mac and all these things. And then there was this, but kind of behind it all was this idea of kind of the Unix mindset. And the Unix mindset was this thing where basically you don't have these, like, like in the old days, like, like the operating system that like made the computer industry really work, like in the 1960s mm-hmm.Was this thing called o os 360, which was this big operating system that IBM developed that was supposed to basically run everything. And it was this like giant monolithic architecture in the sky. It was like a, you know, it was like a giant castle. Um, of software. And, and by the way, it worked really well and they were very successful with it.But like, it was this huge castle in the sky, but it was this thing, it was almost unapproachable, which is like, you had to be kind of inside IBM or very close to IBM. And you had to really understand every aspect, how the system worked. And then the, the Unix sky is originally out of at and t and then out out of Berkeley, um, you know, came out and they said, no, let's have a completely different architecture.And the way architecture's gonna work is we're gonna have, we're gonna have a, a prompt and, and a, and a shell. And then, and then we're gonna, all, all the functionality is gonna be in the form of these discreet modules, and then you're gonna be able to chain the modules together. Mm-hmm. Yeah. And so like the, the, the op, it's almost like the operating, operating system itself is gonna be a programming language.Um, and then that led led to the, the, the sort of centrality of the shell. Um, and then that led to sort of, uh, you know, basically chaining together Unix tools. And then that led to the emergence of these, these scripting languages like Pearl, where you, you could basically kind of very easily do this, and then the shells got more sophisticated and then, and then, and then look like, you know, that, that, that number one, that worked and that, that was the world I grew up in.Like I was, I was a Unix guy. You know, sort of from, call it 1988 to, you know, kind of all, all the way through my work and it worked really well. It, it's in the background, um, you know, nor normal people don't need to, didn't need to necessarily know about it, but like, if you were doing like system architecture, application development, you, you, you knew all about it.Um, and then, you know, it's been in the background ever since. And, you know, look, your Mac still has a Unix shell, you know, kind of in there, and your iPhone still has a Unix shell kind of buried in there somewhere. So they're kind of in there. And then, you know, the Windows shell is kind of a, you know, sort of a weird derivative of that.But, um, you know, but look, the inter, the internet runs on Unix, um, and that smartphones, actually, both iOS and Android are Unix derivatives. And so, you know, kind of Unix did end up winning. But, but anyway, and then we just started taking that for granted. And then, and then so, so basically the, the way I think about what happened with Pie and then with Open Claw is basically what those guys figured out is, I always say the, the great breakthroughs are obvious in retrospect, right?Which is the best kind, the best kind. They weren't obvious at the time or somebody else would've done them already. Um, and so there is a, like a real conceptual leap, but then you look at it sort of the backwards looking and you're just like, oh, of course. Mm-hmm. Like the, the, to me those are always the best breakthroughs.Well, actually language models themselves are like that. It's just like, oh, next token completion. Oh, of course.swyx: Yeah. What other objective mattered?Marc: Yeah, exactly. But, but like it, right. But she's even saying it wasn't obvious until somebody actually did it. Right. And so the conceptual breakthrough is real and deep and powerful and, and very important.And so the way I think about pie and olaw is it's basically marrying the, the language model mindset to the un to the Unix, basically shell prompt mindset. And so it's, it's basically this idea that what, what, so what is an agent, right? And as, as, and as you know, like many smart people who have been trying to figure out what an agent is for, for, for decades, and they've had many architectures to build agents and the whole thing.And it turns out what is an agent. So it turns out what we now know is an agent is the following. It's, so it's a language model. And then above that, it's a ba, it's a bash shell. Um, so it's a, it's a Unix shell, and then it's, and then the agent has access, uh, has access to, to the shell. And, you know, hopeful, hopefully in a sandbox, maybe in, maybe in a sandbox.So it's, it's the model. Um, it's the shell. Um, and then it's a fi, it's a file system. Um, and then the state is stored in files. And then, you know, there's the markdown format for the, you know, for, for the files themselves. And then, and then there's basically what in Unix is called Aron job. There's a loop and then there's a heartbeat for the, there's heartbeat and, and the thing basically Wake Wakes up.Wakes up. So it's basically LLM plus shell, plus file system, plus markdown, plus kron. And it turns out that's an agent. And, and, and every part of that, other than the model is something that we already completely know and understand. And in fact, it turns out that like the latent power of the Unix shell is like extraordinary because basically like all, like, there's just like an, there's just enormous latent power in the shell.There's enormous numbers of Unix commands, there's enormous number of command line interfaces into all kinds of things already in the, you know, your entire, I mean your entire, just to start with, your computer runs on a shell. If you're running a Mac or a, or, or a phone, your computer, your computer's running on a shell, uh, already.And so like the full power of your computer is available at the command line level. Um, and then it turns out it's really easy to expose other functions as a command line interface. And so like this whole idea where we need like MCP and these like product mm-hmm. Fancy protocols, whatever, it's like, no, we don't, we just need like a command, command line thing.So that's the architecture. And then it turns out what is your agent? Your agent has a bunch of files starting a file system. And then there's the thing that just like completely blew my mind when I write my head around it as a result of this, which is like, okay. This means your agent is now actually independent of the model that it's running on.Because you can actually swap out a different LLM underneath your agent and your, your agent will change personality somewhat. ‘cause the model is different, but all of the state stored in the files will be retained.swyx: Yeah. Different instruction set, but you just compiledit.Marc: Right, exactly. And it's all right.It's like right. Swapping out a ship and recompiling, but it's, it's still, it's still your agent with all of its memories. Um, and with all of its capabilities. And then by the way, you can also swap out the shell, uh, so you can move it to a different execution environment that is also, is also a b shell, by the way, you can also switch out the file system, right.Uh, and you can, and you can, and you can swap out the, the, the heartbeat for the, the crown framework, the, the loop that the agent framework itself. And so your agent basically is ba basically at the end of the day, it's just. It's just, its files. Um, and then, and then there's of course it a openswyx: call.Marc: Yeah, it's, it's basically, it's, it's just the files.Um, and then by the way, as a consequence of that, the agent and then the agent itself, it turns out a couple important things. So one is it, it's, it, it can migrate itself, right? And so you're, you can instruct your agent, migrate yourself to a different, uh, runtime environment, migrate yourself to a different file system, migrate yourself to a different, you know, swap out the language model.Your agent will do all that stuff for you. And then there's the final thing, which is just amazing, which is the agent is the agent actually has full introspection. It actually, it actually knows about its own files and it could rewrite its own files. Right. Which by the way, is basically no widely deployed software system in history where the, the, the thing that you're using actually has full introspective knowledge of how it itself works and is able to modify itself.Like that, that, I mean, there have been toy systems that have had that, but there, there's never been a widely deployed system that has that capability and then that leads you to the capability. That just like completely blew my mind when I wrap my head around it, which is you can tell the agent to add new functions and features to itself and it can do that.Extend yourself. Yeah. Right? Extend, extend yourself. Like extend yourself. Give yourself a new capability. Right? And so, and so literally it's just like you run into somebody at a party and they're like, oh, I have my open claw, do whatever, connect to my eat, sleep bed, and it gives me better advice and sleep.And you go home at night and you tell your claw, or if they're at the party, by the way, you tell your claw, oh, add this capability to yourself. And your claw will say, oh, okay, no problem. And it'll go out on the internet and it'll figure out whatever it needs and then it'll go out to claw code or whatever.It'll write whatever it needs. And then the next thing you know, it has this new capability. And so you don't even have to, like, you can have it upgrade itself without even having to, without having to do anything other than tell it that you want it to do that. And so anyway, so the, the combination of all this is just, I mean, this is just like a massive, incredible, I mean, it's just incredible.Like if I, if I were, if I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Yeah. And again, pe people are gonna look at it and they already get this response. People are gonna look at it and they're gonna say, oh, well, where's the breakthrough?‘cause these, the, all of these components were already known before. Mm-hmm. But, but this is the key, the key to the breakthrough was by using all these components that were known before, you get all of the underlying capability of that's buried in there. And so all, and so for example, computer use all of a sudden just kind of falls, trivi, trivial.Of course it's gonna be able to use your computer. It has full access to the shell. Right. And then, and then you just, you, you give it access to a browser, and then you've got the computer and the browser and, and often away it goes. And, and then you've got all the abilities of the browser also. Um, yeah.And so, and so the capability unlock here is profound. My friends who are, you know, deepest into this, are having their claw do like a, like, literally like a thousand things in their lives. They have new ideas every day. They're just like constantly throwing new challenges at the thing. And by the way, it's early and, you know, these are, you know, these are prototypes and there are, you know, as you guys know, there's security issues.Yeah. And, and so, you know, there's a bunch of stuff to be ironed out, but the, the unlock of capability is just incredible.swyx: Yeah.Marc: And I, I have absolutely no doubt that everybody in the world is gonna, is gonna have at least, you know, an agent like this, if not an entire family of agents. And w

Platelet-rich plasma (PRP) injections do not have formal FDA approval for specific clinical indications. PRP is regulated as an autologous blood product and is used "off-label" in clinical practice. However, there is substantial clinical evidence supporting its use for certain dental surgeries and musculoskeletal conditions, particularly lateral epicondylitis, knee osteoarthritis, and plantar fasciitis. The American Medical Society for Sports Medicine notes that PRP is primarily used to treat tendinopathies and osteoarthritis, though clinical efficacy results remain mixed due to variability in PRP formulations and preparation methods. As of now, there are no FDA approved uses for PRP for gynecologic use, although there has been some evidence of possible benefit in vulvar dermatoses and possiblt ovarian function enhancement. But what about its use in the vagina for sexual pleasure? Injecting into the anterior vaginal wall (around the famed G-Spot location) is nothing new. Over a decade ago, a TV show introduced the masses to the “G-Spot amplication” shot which injected collagen to that area. But there was no data for this. Well, we are back to this idea in a new RCT in the Green Journal. Can PRP light up the vaginal fires of pleasure? Listen in for details. 1. Clarke, Bayley MD; Gaddam, Neha MD; Garcia, Bobby MD; Iglesia, Cheryl B. MD; Podolsky, Robert PhD; Dieter, Alexis A. MD. Vaginal Injection of Platelet-Rich Plasma for Sexual Function: A Randomized Controlled Trial. Obstetrics & Gynecology ():10.1097/AOG.0000000000006256, March 19, 2026. | DOI: 10.1097/AOG.00000000000062562. Finnoff JT, Awan TM, Borg-Stein J, et a American Medical Society for Sports Medicine Position Statement: Principles for the Responsible Use of Regenerative Medicine in Sports Medicine. Clinical Journal of Sport Medicine : Official Journal of the Canadian Academy of Sport Medicine. 2021. 3. Alsousou J, Ali A, Willett K, Harrison P. The Role of Platelet-Rich Plasma in Tissue Regeneration.Platelets. 2012.

Check Out BioVitalis Peptides: https://biovitalis.org/ (Use Promo Code: GSD10 for 10% off)   Check Out ZONE (Amazing Nootropic for Mental Focus and Energy): https://forjlife.com/products/zone-nootropic-supplement-mental-focus-eye-fatigue   *Disclaimer: This NOT medical advice. Please make sure to seek your own medical professional for medical advice.

Episode 342 hosts Aisling Walsh (Registered Nurse from Sydney, Australia). In 'The Business of Injecting' episodes we host injectors and clinic owners to discuss all aspects of the business side of their clinic. We analyse their financial struggles and challenges, difficult decisions, friction points, staffing, hiring, firing and other topics relevant for aesthetic business owners. In Chapter 22 we discuss Aisling's story where she become the business owner of the clinic where she first started injecting. All whilst balancing motherhood and the new responsibilites that come with being a business owner.  00:00 Introduction  00:41 Special Guest: Aisling Walsh  02:21 From Ireland To Australia 04:25 From Nursing To Aesthetics 06:25 First Injecting Training And Mentorship 09:49 Building Skills Safety And Clientele 12:12 Balancing Mum Life And Business 14:08 Becoming An Owner And Outsourcing 16:58 Buying The Clinic 22:00 Valuation Risk And Worst Cases 27:55 Owner Reality: Admin Days 31:47 Skin First Philosophy 32:15 Injecting Day Breakdown 34:10 Team Management Tips 36:59 Regulations And Competition 39:30 Buying The Right Device 41:54 Results Over Products 44:41 Brand Refresh And Socials 50:28 Pricing And Patient Journey 54:44 Future Plans And Exit 57:27 Summary and End JOIN THE WAITING LIST FOR IA COMMUNITY (OUR NEW APP) ALL IA LINKS & CONTACT INFORMATION

On today's show, Jeff Nowak talks to the new New Orleans Saints Running Back Travis Entienne and Offensive Lineman Dillon Radunz. Then, Jeff and Steve talk about how Guard Dejounte Murray has elevated the New Orleans Pelicans and the early season struggles of both the LSU Tigers and the Vanderbilt Commodores.

Send a textToday I'm joined by Dr. Ashley Dwyer, PharmD, a pharmacist who brings a refreshingly practical voice to the world of health and wellness. With all the buzz right now around peptides, biohacking, and supplement stacks, it can feel like you need a cabinet full of products just to stay healthy.In this conversation, Dr. Dwyer explains what peptides actually are, why she's cautious about over-recommending supplements, and why the fundamentals still matter most.We also talk about something powerful, building an identity as a fit and healthy person, and how that mindset is often the real key to long-term, sustainable health.Let's get into my conversation with Dr. Ashley Dwyer!Follow AshleyJoin Move Daily MembershipFOLLOW ALONG with Move Daily Fitness!Follow on InstagramFollow on FacebookIndemnity** All information provided by Move Daily Fitness and Tracy Steen is of a general nature and is furnished for educational/entertainment purposes only. No information is to be taken as medical or other health advice pertaining to any individual's specific health conditions. Move Daily is not engaged in rendering any medical services. Move Daily makes no guarantee regarding the accuracy, timeliness or relevance of any text, video or audio content. Any content provided is not a diagnosis, treatment plan or recommendation for a particular course of action regarding your health and it is not intended to provide specific medical advice. Do not delay in seeking the advice and diagnosis of a medical professional because of anything you may have read or interpreted from Move Daily Fitness content.  Consult your health care professional before participating in or acting on any recommendations found on Move Daily Fitness.  You agree, at your exposure, to indemnify and hold Move Daily Fitness and Tracy Steen harmless from any and all losses, liabilities and injuries, or damages resulting from and all claims, cause of action, suits, proceedings and demands against Move Daily Fitness and Tracy Steen, arising from or relateGrab our new How To Build Muscle As You Age 4.0 (Beginner or advanced avilable) The Move Daily Membership is a paid monthly subscription for women, which gives you access to a huge amount of resources to help support you in reaching your health goals. Whether you're looking to lose fat, gain lean muscle, focus on your nutrition, give time to wellness or simply wish to dial in your overall health, we can support you in achieving your objectives. Join today! Shop Legion Supplements and use discount code: MoveDailyThis is an affiliate link.Support the showUse discount code PODCAST10 for a discount on your Move Daily Membership. Don't fade out women, level up! Thanks for moving daily with us in your fitness, wellness and nutrition! Be sure to follow us here:YouTubeInstagramFacebookTikTokSubscribe to my podcast!

Hormones control almost every system in your body. They are like an orchestra playing, so when one instrument is a little off-key, it affects the whole system. If you feel tired, anxious, or are gaining weight, your hormones may be involved. In this episode, leading reproductive expert Dr Helen O'Neill explains how hormone health affects fertility, metabolism, and mental health for both men and women.  The core question is simple: if hormones run your body, how much influence do you have over them?  Alongside ZOE's head nutritionist, Dr Federica Amati, Helen explores the links between hormones and fatigue, anxiety, weight gain, fertility, and metabolic health. The episode covers thyroid health, chronic pain, sperm health, and why gut hormones play a central role in appetite and weight regulation. We also examine why some female-specific conditions remain misunderstood or undiagnosed, and how better data may help change that. Most importantly, this episode focuses on what you can do to take back control. With emerging science suggesting that diet plays a key role in hormone regulation, you'll hear how fibre, plant diversity, healthy fats, and key micronutrients support gut hormone production and fertility. You'll also learn why changes made over three months may meaningfully influence fertility, and why conception is always a shared responsibility. Help keep your hormones in tune with this guide to the relationship between gut, diet and hormones, produced in partnership with the hormone experts at Hertility.

Christine Maynard from the Anti-Safe Injecting Room Campaign joined Shane McInnes.See omnystudio.com/listener for privacy information.

Injecting oneself with the Miraculous Word of Life also, as we reflect on some missionary stories among the Asian battlefronts. History will prove to serve the Word and the Holy Spirit, so its good to reflect on these topoics as well.FAITHBUCKS.COM

Yarra Mayor, Councillor Stephen Jolly joined 3AW Breakfast to discuss the shocking discovery.See omnystudio.com/listener for privacy information.

Welcome to another episode of MOJO: The Meaning of Life and Business! In this episode, host Jennifer Glass sits down with Shauna Van Mourik for an engaging and refreshingly human conversation about what truly makes marketing (and business) work. Together, they dive into the real art of persuasion, the pitfalls of soulless marketing tactics, and why connecting authentically with other humans—not just “avatars” or algorithms—will set you apart.Shauna Van Mourik brings her rich background in psychology, rhetoric, and professional writing to the table, sharing her journey from content creation to branding expert for coaches and therapists. The discussion unpacks the importance of messaging that feels right, the difference between right-fit and dream clients, building an authentic brand, and why storytelling is your marketing superpower.Whether you're just starting out or looking to scale your impact, this episode is packed with practical wisdom, heartwarming stories, and plenty of actionable insights for entrepreneurs who are ready to ditch outdated advice and find their true marketing “mojo.”Ready to connect on a human level and make your brand feel like home? Hit play and join the conversation!About my guest: Coaches and therapists hire Shauna Van Mourik when they're ready to stop following outdated, soul-sucking marketing advice and finally build a brand that works for them. She helps them refine their messaging, master organic marketing, and attract clients who truly get them. Bottom line: They scale to six figures with confidence, ease, and a brand that feels like home.Connect with Shauna on Facebook, LinkedIn, Instagram, TikTok, YouTube, and on the web at https://www.shaunaleigh.comKeywords: marketing, branding, persuasion, authenticity, storytelling, rhetoric, copywriting, coaches, therapists, organic marketing, client attraction, scaling business, sales conversion, human-first marketing, AI in marketing, ethical marketing, keyword stuffing, SEO, personal brand, professional brand, dream client, ideal client, messaging, relationship building, community building, sustainability, growth, funnel, one-to-many communication, comfortable confidence

Started the week off with new details on the mass shooting in Canada, and then talked about the baffling search for Nancy Guthrie in AZ.. Also elections in Japan, Portugal, and Bangladesh, US troops arrive in Nigeria, CA mountain fatalities, and an Ohio mom caught on camera injection her own feces into her child's IV line at hospital. Music: 3 doors down/"Kryptonite"

Nick and Chris discuss Manchester City's legal troubles, the Winter Olympics and - of course - some Oldham s***e. ——————————————— Every week after the main episode finishes, Nick and Chris carry on talking (they don't have much on) - but you can  listen to that extra bonus content by subscribing to our offering at anotherslice.com/famousslopingpitch.  For just £5 a month you'll get an ad-free version of the podcast every week PLUS a whole extra segment after the main show.  Learn more about your ad choices. Visit podcastchoices.com/adchoices

The criminal complaint details that hospital personnel witnessed Tiffany Le Sueur, 35, administering a "foreign substance" into her child's IV on February 6.See omnystudio.com/listener for privacy information.

"The Great" Kyle Tausk joins us this hour to preview Illinois vs Wisconsin at State Farm Center. How will the Illini bounce back after a tough loss at Michigan State? Why will the guards determine tonight's winner?  Plus we dive into new Defensive Coordinator Bobby Houck's 3-3-5 Defense; and what are some Olympic athletes injecting into themselves?  

Meet Kansys Clouse; born and raised in Montana, she always wanted to help people which led her down the nursing route. After bouncing around and learning how the beauty industry can help people look and feel better about themselves, she opened The Aesthetic Co and has expanded to teaching others with The Art of Injecting.Check out her business: https://www.theaestheticco.net/

Chris Hand joins Nashville's Morning News crew with some meaty Olympic news | aired on Monday, February 9th, 2026 on Nashville's Morning News with Dan MandisSee omnystudio.com/listener for privacy information.

I call it the "Frankenstein procedure"!  There's a company that is processing dead people's fat and selling it to plastic surgeons who will inject it into your face or buttocks...or anywhere.  Wow.  This raises a lot of questions.  First - the ethics.  You or your family donates your organs, expecting that your kidneys, liver, heart, and lungs will help another person live a normal life.  But do you expect that your fat will be harvested and used for cosmetic reasons?  And do you expect that the fat will enrich the finances of the company that sells it and the plastic surgeons who inject it?  I'll be not.  And then there's the question of safety - the company can be certain the "donor" didn't have HIV or hepatitis, but they can never be certain the person didn't harbor Mad Cow Disease (Creutzfeld-Jacob disease in humans - same "prion", different animal).  And then there's the "repulsion factor" - do you really want someone's dead fat injected into your body?  Listen in to Dr. Perry's interview on the Mark Simone show - replayed here - to learn more.

Al & Jerry: An Olympic scandal involving injecting penises, Super Bowl rematches over the years and the final Cool Games of the season To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Injecting your penis To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Kenneth Hite moderates this panel with Crystal Mazur, Rick Meints, and Chris Spivey. We talk about how to introduce weirdness and horror into game settings. We talk about how to game design weird and examples of what that looks like for different RPGs. 

Discover The Shadow Secretly Running Your Life: https://quiz.lucassalame.com/Schedule Your 1:1 Session with Lucas: https://www.lucassalame.com/session———————There's a movement happening right now that's destroying young men from the inside out.They call it "looksmaxxing" - and while there's nothing wrong with wanting to look better, what's happening goes way deeper than hitting the gym.Young men are literally smashing their faces with hammers. Injecting peptides. Abusing hormones as teenagers. All because they believe becoming "pretty" will finally give them what they want.But here's what nobody's telling you: the obsession with looking perfect isn't making you more masculine. It's doing the exact opposite. If you're a young man who feels lost, powerless, or like you need to be perfect to be worthy of love and respect - this message is for you.———————Please like, comment, and subscribe if anything resonated with you. Thank you for watching!Lucas Salame: https://www.instagram.com/lucas__salame | https://www.new-age-sage.com

Olympic ski jumpers are accused of injecting acid into their penises to go higher, further, farther faster. Yes, a needle right into the EGGPLANT! And now the Olympics are cracking down on it. Yeah, it's pretty nuts. Not a topic we ever expected to cover.Watch the podcast episodes on YouTube and all major podcast hosts including Spotify.CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles.Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/On YouTube - https://www.youtube.com/c/ClownfishTVOn Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvgOn Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629

Would you do this?!

Full Show Notes: https://bengreenfieldlife.com/austinplasma/ In today's eye-opening episode with repeat guest, Dr. Khanh Nguyen, the founder of Austin Regenerative Therapy, you'll take a deep dive into the world of cutting-edge regenerative medicine. After spending three intense days undergoing her advanced protocols—from full-body regenerative therapies to some of the most boundary-pushing treatments I’ve ever experienced—you’re about to get an inside look at what’s really possible when modern science meets whole-body healing. Dr. Nguyen brings decades of internal medicine experience to the table, along with an inspiring personal story. As a refugee from Vietnam who arrived in the U.S. in 1982, her journey to becoming a leader in regenerative health is one of grit, compassion, and relentless curiosity. Episode Sponsors: JoyMode: Want to spice things up in the bedroom and boost your sexual performance? And do it naturally without nasty prescription drugs? We have a special offer for the Ben Greenfield audience. Go to usejoymode.com/GREENFIELD or enter GREENFIELD at checkout for 20% off your first order. Formula IQ: Recuperate IQ by Formula IQ is a comprehensive copper supplement designed to support mitochondrial energy, iron balance, and metabolic health by pairing bioavailable copper with essential cofactors your body needs for proper utilization, which is especially crucial if you've been under chronic stress or supplementing with high-dose zinc. Try it at formulaiq.com and use code BEN for 10% off. Young Goose: To experience the transformative power of Young Goose's cutting-edge products, visit younggoose.com and use code BEN10 at checkout to enjoy a 10% discount on your first order. BIOptimizers Magnesium Breakthrough: The 7 essential forms of magnesium included in this full spectrum serving help you relax, unwind, and turn off your active brain after a long and stressful day so you can rest peacefully and wake up feeling refreshed, vibrant, and alert. Go to bioptimizers.com/ben and use code ben15 for 15% off any order. Aires: Protect your home, office, and body from EMF with some of the highest EMF-shielding technology ever created. Aires is offering a 30% discount to all Ben Greenfield Life listeners at airestech.com/ben by using code BEN30. Qualia: Support better aging with Qualia Senolytic and boost brain health with Qualia Mind—two of my favorites! Visit qualialife.com/boundless and use code BOUNDLESS for 15% off your order.See omnystudio.com/listener for privacy information.

Would you like access to our advanced agency training for FREE? https://www.agencymastery360.com/training Are you feeding your data into AI and assuming the insights it gives you are accurate? What if those confident-sounding answers are quietly steering you in the wrong direction? More agency owners are turning to AI to analyze and interpret performance data, and for good reason. Used correctly, it can save massive amounts of time and move teams beyond using AI to crank out blog posts, ads, or emails faster. But when it comes to attribution, performance analysis, and real decision-making, AI has a dangerous flaw: it's often wrong with absolute confidence. Today's featured guest understands where most agencies go wrong with AI-driven data analysis. He'll break down why large language models frequently misinterpret marketing data, how flawed inputs and assumptions lead to misleading insights, and what it actually takes to get reliable answers from AI without burning budget or making bad strategic calls. Scott Desgrosseilliers is the founder and CEO of Wicked Reports, a marketing attribution platform built specifically for e-commerce brands doing between $5M and $50M in annual revenue. Scott has spent years deep in attribution, analytics, and now AI, figuring out how to separate real signal from noise in an ecosystem where every platform claims the win. He'll talk about how most platforms may be misleading you and the framework he uses to bring sanity back to attribution for serious e-commerce brands. In this episode, we'll discuss: Why AI is sounds smart but gets marketing attribution wrong. Injecting intention into AI. The Five Forces framework to improve your AI data. Subscribe Apple | Spotify | iHeart Radio Sponsors and Resources E2M Solutions: Today's episode of the Smart Agency Masterclass is sponsored by E2M Solutions, a web design, and development agency that has provided white-label services for the past 10 years to agencies all over the world. Check out e2msolutions.com/smartagency and get 10% off for the first three months of service. Why AI Sounds Smart But Gets Marketing Attribution Wrong One of the biggest myths around AI is that it's inherently "smart." Scott shared that it took eight months for Wicked Reports to release their AI analyst, not because the tech wasn't powerful, but because it was too confident while being wrong. AI models are designed to sound affirmative. Ask them a bad question, and they'll still give you a polished answer. If you ask ChatGPT if you should jump off a bridge, it'll say, "Yes, that's a great idea," unless you explicitly train it to be critical. That's a massive problem when you're dealing with revenue attribution and ad spend decisions. Another major issue is that AI lacks native understanding of time, which is foundational to attribution. Clicks, impressions, tags, and conversions happen in sequence over days or weeks. Without heavy rules, coaching, and sanity checks layered in, AI can't naturally interpret cause and effect. Left alone, it simply fills in gaps, and those hallucinations can cost you real money. Why Intention and Metrics Matter More Than the AI Tool The first thing Scott's team had to "inject" into the AI was intention. Not all campaigns exist to do the same job. Prospecting, retargeting, direct response, and existing customer campaigns each have different goals and therefore require different scoreboards. If you don't tell the AI what the intention is for each row of data, it will make assumptions. And those assumptions are usually wrong. The "North Star" metrics and leading indicators change depending on what you're trying to accomplish. A prospecting campaign shouldn't be judged the same way as an abandoned cart flow. The second big issue is AI's obsession with ROAS. ROAS is easy to latch onto because it gets rewarded with "thumbs up" feedback, but it's often misleading. If two-thirds of your reported revenue comes from repeat customers via email or SMS, AI might tell you your ads are crushing it when they're not. Simply separating new customers from repeat customers already puts you ahead of 95% of advertisers. The Five Forces Framework for Making Better Attribution Decisions To solve these problems, Scott introduced his Five Forces Framework, (intention, expectation, action, outcome, and optimization) a methodology most agencies simply aren't using. The first force is Intention, which defines both the scoreboard and the timeframe. New customer acquisition might need a 30–90 day window to show results, while an abandoned cart campaign can be evaluated in seven days. Without this context, teams panic too early and kill campaigns that haven't had time to work. The second force is Expectation, which is all about alignment. Brand owners often look at Shopify, GA4, Meta, Google, Klaviyo, and SMS dashboards—all showing different numbers. Without agreeing on a single version of truth, clients freak out and shut down top-of-funnel campaigns after five days because the data "doesn't look good yet." Setting expectations isn't a one-time conversation; it has to be reinforced constantly. Reducing Drama: Use "Scale, Chill, and Kill" to Guide Ad Spend The third force is Action, which includes launching the campaign but only after defining clear boundaries. Scott recommends setting "Scale, Chill, and Kill" zones before you spend a dollar. For example, if your acceptable new customer acquisition cost is $50–$70, that's your Chill zone. Below $50? Scale it. Above $70? Kill it. These predefined rules remove emotion, reduce second-guessing, and dramatically lower what Scott calls "psychic stress" inside agencies and brands. Once campaigns run, the fourth force—Outcome—is simply measuring performance against those zones. Did it scale, chill, or die? Optimization Is More Than Creative Tweaks Most agencies obsess over creative, constantly swapping headlines, images, and copy. For Scott, optimization should be more structured. At his agency, they use a decision log to rank potential actions by impact, focusing on whether the problem is the offer, the creative, the traffic, or the budget. But Scott added a fourth optimization factor most teams miss: signaling. If you don't send the right signals back to ad platforms, your optimization efforts don't matter. Meta, in particular, is very good at claiming credit for conversions it didn't truly drive and if it sees quick conversions, it will chase more of those, even if they're just repeat customers. Training Ad Platforms to Optimize for What Actually Matters To fix this, Scott recommends creating separate events in Meta's Events Manager for new customer purchases versus repeat purchases. That way, ad sets can optimize specifically for the outcome you want. If you're closing existing customers through email or SMS, you don't want Meta learning from those conversions. But when a new customer buys, Meta gets a clean signal and starts finding more people like them. Scott noted that when creative and offer are solid, sharpening signals alone can dramatically reduce acquisition costs within a month. You can even go deeper by signaling based on SKU types, allowing platforms to optimize toward higher-quality or more strategic purchases—not just any conversion they can grab credit for. Do You Want to Transform Your Agency from a Liability to an Asset? Looking to dig deeper into your agency's potential? Check out our Agency Blueprint. Designed for agency owners like you, our Agency Blueprint helps you uncover growth opportunities, tackle obstacles, and craft a customized blueprint for your agency's success.

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Tattooing is legal in Korea after 33 years. Weight loss drugs will save airlines tons of cash because of fuel costs. Olympic ski-jumpers caught injecting acid into their genitals in what's being called "Penis Gate". // Weird AF News is the only daily weird news podcast in the world. Weird news 5 days/week and on Friday it's only Floridaman. SUPPORT by joining the Weird AF News Patreon http://patreon.com/weirdafnews - OR buy Jonesy a coffee at http://buymeacoffee.com/funnyjones Buy MERCH: https://weirdafnews.merchmake.com/ - Check out the official website https://WeirdAFnews.com and FOLLOW host Jonesy at http://instagram.com/funnyjones - wants Jonesy to come perform standup comedy in your city? Fill out the form: https://docs.google.com/forms/d/e/1FAIpQLSfvYbm8Wgz3Oc2KSDg0-C6EtSlx369bvi7xdUpx_7UNGA_fIw/viewform

The weekend is here and the temps are going to drop as this rain shifts to snow sometime tomorrow. But I don't mind…I'll be inside watching football all weekend!!!! Today is "Quitter's Day", the day you're most likely to drop your New Year's resolution. Already?? We talked about what some people are doing to help battle against that, and also discussed a woman's viral video of her cat deleting all her resolutions. In sports, Miami beat Ole Miss last night to advance to the College Football National Championship game, a look at this weekend's Wild Card schedule, the latest on Jordan Love's status for the Packers/Bears game along with some all-time stats from the rivalry. Plus, the Bucks play tonight in LA and the Badgers are in Michigan tomorrow. We let you know what's on the boob-tube this weekend and what's new in theaters. Plus, a Fortnite/South Park collab is dropping today. Elsewhere in sports, the Dolphins have fired their head coach, Giannis talks about asking for a trade, and the NHL announces next season's Winter Classic game. Cool story about some missing letters that are finally getting delivered after disappearing for 70+ years, and for the first time ever…the Puppy Bowl is going to feature senior dogs looking to get adopted! A grocery receipt from 1997 is going viral, and Brian talked about his "poverty meal" from earlier this week. Doc joined us to talk racing thanks to County Materials in Holmen. And more & more people are trying to put their phone down and switch to something analog to keep them entertained & occupied. Here's a list of some of the top analog activities people are pursuing instead of doom-scrolling. And in today's edition of "Bad News with Happy Music", we had stories about a woman who supposedly snorts all her food, a horse that shit all over a Target store, a woman who woke up inside a body bag at a funeral home, a couple that have a very unique OnlyFans account, and apparently ski jumpers are injecting their junk with all sorts of stuff to help them gain an advantage on the competition.See omnystudio.com/listener for privacy information.

On this hard-hitting episode of Start Today, I bring back Jay Campbell to expose what's really happening behind the scenes with peptides, GLP-1 drugs, and Big Pharma's quiet push to shut down affordable optimization. We break down why January could change everything—from access restrictions to rising costs—and what men need to know now before the window closes.  We also get into why Ozempic is already obsolete, what's coming next with GLP-3s, how peptides actually work, and the three non-negotiables for men who want strength, clarity, and longevity. No hype. No shortcuts. Just real talk you won't hear from your doctor.  

What happens when you accidentally take 27 units of Fiasp instead of your long-acting insulin?On this solo episode of We Are T1D, Mike shares the raw, real story of the day he injected the wrong insulin — and how it turned into a full-on Type 1 diabetes survival mission.From that heart-sinking moment of realisation, to calling in sick, watching Dexcom arrows like a hawk, finger-pricking nonstop, smashing carbs, and even treating a low with a McFlurry

IT FACTOR: The art and strategy of becoming unforgettable online. Creating Culture Content, an obsessed cult-like community, and an It Factor shining so bright -- your F Yes client can't help but stop her scroll to buy. Let's blow up your social media so your sales can skyrocket. ⁠⁠⁠⁠Click here for details⁠⁠⁠⁠LISTEN AD FREEYou can now join the podcast's monthly subscription to listen ad free AND get a bonus Mikayla's Mind episode every single month. $9.99 and cancel anytime.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bonus Resources:Sign up for my free emails. MJ mindset and manifestation tips straight to your inbox.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Sign up here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Classpass. 20 bonus credits for Classpass (obsessed!!!) -- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠free trial here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join the podcast FB community --⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠click here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Ready to master manifestation? -- LUXURY UNLEASHED: how to create your dream luxury lifestyle using manifestation.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Watch the training here!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Wanting to shift your money mindset? -- Confidence to Cash Masterclass: Steal my self worth strategy for money magnetism⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Click here!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Need that push to get organized & create a morning routine? -- Ultimate Toolkit to Becoming That Girl.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Download for free here!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠1st Phorm Greens --⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠get mixed berry here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Let's connect:Message me directly on Facebook,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠click here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ @mikaylajai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠IG ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@themikaylajai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tik Tok ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@themikaylajai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email me themikaylajai@gmail.com

It's Throwback Thursday, and today we hop in the time machine and set the dials for April 11th, 2011… that is right, ages ago! But guess what? In those years, the principles of marketing have not changed one single bit… and as you're about to hear… when it comes to identity, you've got to not JUST have a good case to present to the jury… er, uh… your prospects… you've also got to present it with power, precision, and passion!

What does a goiter and syphilis have in common with the first descriptions of giant cell arteritis? Join us as we dive into the history of the most common type of vasculitis! Intro 0:13 GCA at ACR 2025 00:30 How Brown has approached framing this episode 1:01 A primer leading us to GCA 3:15 Let's get to the story 4:02 The man who couldn't wear a hat 4:57 Dr. Bayard Horton's 7:40 A tangent on cluster headaches 8:27 Let's get back to GCA 13:16 The first temporal artery biopsy 14:28 Vision loss and other puzzle pieces of GCA 16:27 What about jaw claudication? 21:15 Could GCA be transmissible? Injecting ground temporal arteries into healthy volunteers 24:13 Oxygen? Histamines? Adrenal cortical extract? Looking for GCA treatments 26:55 Steroids and GCA 28:40 A quote from the 1959 Mayo Clinic Board of Governors 32:24 Extracranial involvement in GCA 33:24 When did we recognize aorta involvement? Syphilis enters the picture 35:08 A recap of the history of GCA 41:25 Thanks for listening 42:19 We'd love to hear from you! Send your comments/questions to Dr. Brown at rheuminationspodcast@healio.com. Follow us on Twitter @HRheuminations @AdamJBrownMD @HealioRheum. References: Boes CJ, Cephalalgia. 2007;doi:10.1111/j.1468-2982.2007.01238.x Cummer CL, et al. JAMA. 1912;doi:10.1001/jama.1912.04270080101004 Horton BT, Proc Cent SOC Clin Res. 1946 Sproul EE, et al. Am J Pathol. 1937;PMID: 19970328 Disclosures: Brown reports no relevant financial disclosures.

Episode 323 hosts Kelly George (Registered Nurse from Tamworth, Australia) In 'The Business of Injecting' episodes we host injectors and clinic owners to discuss all aspects of the business side of their clinic. We analyse their financial struggles and challenges, difficult decisions, friction points, staffing, hiring, firing and other topics relevant for aesthetic business owners. In Chapter 21 we discuss Kelly's recent expansion to open her second clinic. (We discussed her first clinic and background in Episode 214 of the Business of Injecting - Chapter 8) We discuss how she manages and trains her staff, the importance of patient relationships, why she opened a new clinic and the challenges of staying compliant amidst the changing regulations in Australia.  Kelly shares her insights on leveraging social media for business growth and the critical role of patient feedback in maintaining high standards of care. We end on why she also changed to a new compliance and prescribing service (InstantCosmetics) and how they are helping drive her clinics success. This podcast was sponsored by InstantCosmetics 00:00 Introduction 01:29 Sponsor Acknowledgment and Guest Introduction 01:38 Kelly George's Journey in Aesthetics 04:27 Clinic Philosophy and Success Factors 05:40 Consultation Approach and Training New Injectors 10:48 Challenges and Strategies in Aesthetic Practice 15:04 Device Integration and Body Contouring 23:28 Opening a Second Clinic: Motivations and Challenges 28:22 Building a Strong Team Culture 29:50 Designing the New Clinic 31:39 Ensuring Consistent Patient Experience 37:20 Navigating Regulatory Challenges 38:03 Partnering with InstantCosmetics 44:31 Surveying Patient Satisfaction 47:38 Rapid Fire Questions 50:58 Conclusion and Farewell SUBSCRIBE TO OUR PATREON FOR EXCLUSIVE PODCASTS, WEEKLY EDUCATIONAL CONTENT & JOIN OUR WHATSAPP COMMUNITY CLICK HERE TO BROWSE OUR IA OFFERS FOR DISCOUNTS & SPECIALS CLICK HERE IF YOU'RE A BRAND OR COMPANY & WANT TO WORK WITH US CLICK HERE TO APPLY TO BE A GUEST ON OUR PODCAST CONTACT US  

What if the way to heal our divided world starts with simply walking with people?In this inspiring episode of The Collide Podcast, we sit down with Carlos Whittaker to talk about what it means to truly connect with others—even when we don't see eye to eye. Carlos shares his passion for bringing hope and humanity to the forefront of our conversations and challenges us to live out empathy in action. From stories of kindness sparked by his “Instafamilia” to moments of faith and vulnerability that have shaped his journey, Carlos reminds us that walking with people in love and grace can change lives—ours included.Meet Carlos WhittakerCarlos is an author, podcaster, and global speaker on a mission to bring hope to humans everywhere. Known for his authenticity and compassion, Carlos has built a massive online community that rallies around doing good and living connected. Whether he's writing best-selling books, leading meaningful conversations, or dancing to Beyoncé with his family in Nashville, Carlos brings joy and purpose to everything he does. His motto—“Don't stand on issues, walk with people”—beautifully captures his heart for unity and understanding in a divided world.In This Episode, You'll LearnHow walking with people (not standing on issues) can transform relationshipsWhy empathy is the key to healing our communitiesThe power of showing up authentically, even when it's uncomfortableHow faith fuels Carlos's passion for connection and hopePractical ways to bring more kindness and courage into everyday life.How This Episode Will Encourage YouIf you've ever felt weary from the world's division or unsure how to make a difference, this episode will lift your spirit and renew your sense of purpose. You'll be reminded that the greatest impact often begins with one small act of love—and that when we choose to walk with people, we walk closer to the heart of God.Connect with Carlos - Website | Books | PodcastConnect with Willow - Website | Instagram | FacebookPre-Order Willow's New Book! Collide: Running into Healing When Life Hands You HurtFollow and Support Collide