Podcasts about Rosewood

JOIN OUR COVEN OF COCKTAILS COS THE THE TIME-JUMP IS HERE!! Ashley and Hayley recap Pretty Little Liars Season 6 Episode 11, Of Late I Think of Rosewood. Some things change (hair styles, lovers, asylums being converted into hotels, Nicole being captured by rebels) and some things stay the same (Ali annoying). But the most important thing? TOBURKY WOOD-WORKY.Watch weekly snippets of our recap episodes on the Call An Adult YouTube channel:https://www.youtube.com/@CallAnAdultWant weekly ad free audio AND video episodes, as well as bonus monthly content? Come join our Dollhouse over on Patreon! patreon.com/callanadultWant Call An Adult merch? Get something from our collection HERE: https://callanadult.myshopify.com/Follow Call An Adult on socials @call.an.adultFollow Ashley on socials @ashleycrapapFollow Hayley on socials @hayleytantau Hosted on Acast. See acast.com/privacy for more information.

ONG da produtora de filme de Bolsonaro é alvo de operação suspeita de fraude em contrato de wi-fi com Prefeitura de SP. Hóspede americana é encontrada morta no hotel de luxo Rosewood em São Paulo. Petrobras reduz em 14,2% preço do querosene de aviação a partir de junho. Nova regra que limita uso do FGC para atrair investidores começa a valer. Dua Lipa se casa com ator Callum Turner em cerimônia discreta em Londres.

This week on Culture and Consequence, Andrea and I show up grumpy, caffeinated, and absolutely done — which means it's the perfect time to talk about abortion myths, political delusion, and the stories we were raised to believe about America.We start with the hill I'll die on: being pro‑choice does not mean being pro‑abortion. As I say in the episode, “People on the right believe that we get our nails done in the morning… and then later that afternoon we go get an abortion” — and we break down why that fantasy is both dangerous and insulting.From there, we get into late‑term abortion realities, Planned Parenthood, and why medical decisions belong to women, their doctors, and nobody else. Andrea reminds us that “the vast, vast, vast majority of abortions after viability are wanted pregnancies with medical complications.”Then we shift into the bigger picture: the myths we grew up with — the Founding Fathers, the “melting pot,” the American Dream, and the belief that hard work alone can save you. We talk Tulsa, Rosewood, banned books, civics education, and why so many of us had to learn our own country's history outside the classroom.And yes, we go in on billionaires, media capture, political cults, and why the Supreme Court has lost the plot.If you're tired, frustrated, or trying to make sense of the mess, pull up a chair. We're right there with you.If this episode brought you a little joy, consider liking, subscribing, or sharing it with someone who might need it.As always, remember it really is All About The Joy.Thank you for stopping by.  Please visit our website: All About The Joy and add, like and share.  You can now watch the livestream version of the show on YouTube at @CarmenLezeth You can also support us by shopping at our STORE - We'd appreciate that greatly.  Also, if you want to find us anywhere on social media, please check out the link in bio page. Music By Geovane Bruno, Moments, 3481Editing by Team A-JHost, Carmen Lezeth DISCLAIMER:  As always, please do your own research and understand that the opinions in this podcast and livestream are meant for entertainment purposes only. States and other areas may have different rules and regulations governing certain aspects discussed in this podcast.  Nothing in our podcast or livestream is meant to be medical or legal advice. Please use common sense, and when in doubt, ask a professional for advice, assistance, help and guidance. 

Send us Fan MailSabrina and Dave of Rosewood Avenue are a husband and wife country duo from Northern Ontario. And when they say Northern Ontario, they mean it. Think past Muskoka ... past Sudbury ... and keep going. They're near Timmins, home of Shania Twain, in a small town called Matheson.They've been making music together for 17 years, but it's only been the last five or six that they've been pushing it on a professional level. Sabrina spent nine years teaching music before making the leap. Dave's always had music in his blood, with a cousin who plays lead guitar for Johnny Reid. Together, they've built something that sounds like Northern Ontario feels: honest, warm, and rooted.The band name? A little bit of a love story. Sabrina's maiden name, Charleboix, has "bois" in it, which means wood in French. Dave always bought her roses. And Devonshire Avenue is the street where they first met as neighbours, connected by a very 2000s introduction through MSN Messenger.We talked about how they balance being a couple, co-writers, and business partners, what it was like for Dave to go from strictly guitar player to vocalist, why they haven't left their small town and don't plan to anytime soon, the Ontario country community and what it's meant to their career, and the emotional experience of hearing "Leavin' Town" on the radio for the first time.Rosewood Avenue's current single "Leavin' Town" is at Canadian country radio now, sitting in the top 50 and climbing. We're so excited to welcome you back for Season 5 of On The Porch with Front Porch Music. If you enjoyed this episode, please rate, review, and subscribe … it's one of the easiest ways to support the show and helps more listeners find us.Grab a drink, pull up a chair, and join us On The Front Porch, every other Tuesday.On The Porch with Front Porch Music is a Front Porch Production and is hosted by Logan Miller and Jenna Weishar. The podcast is produced by Jason Saunders. The theme song for the podcast was written, produced, and performed by Owen Riegling.Support the show

Pastor Lindsey Burkey this morning shares how the Gospel provides the "spoilers" we need to stay steady. When you know the story begins with God's love and ends with Christ's glory, the middle doesn't feel so overwhelming.  Don't let your "middle" moments hide what God is doing.  

Everyone knows about Rosewood… but what about what happened before it?

Ash and Hayley recap Pretty Little Liars Season 6 Episode 2, Songs of Innocence! What's going on in Rosewood, dear VIPOOs? The gurgles are having PTSD, Spencer struggles with PILL, Aria gets into photography, Hanna redecorates her room, and Emily gets into guns. Most importantly, Ash and Hayley realise Sarah Harvey looks like chalk. OH, and Hayley had just watched Spy Kids so we kept singing FLOOP IS A MADMAN HELP US SAVE US!Watch weekly snippets of our recap episodes on the Call An Adult YouTube channel: https://www.youtube.com/@CallAnAdultWant weekly ad free audio AND video episodes, as well as bonus monthly content? Come join our Dollhouse over on Patreon! patreon.com/callanadultWant Call An Adult merch? Get something from our collection HERE: https://callanadult.myshopify.com/Follow Call An Adult on socials @call.an.adultFollow Ashley on socials @ashleycrapapFollow Hayley on socials @hayleytantau Hosted on Acast. See acast.com/privacy for more 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

Send us Fan Mail2 Shots went on the road to Good Buddies Brewing Company and were joined by two of the owners of upstart 19th Hole Bourbon!  Kansas bourbon entrepreneurs Richie Alexander and Sean Davenport were in the Bluegrass state and before a great crowd at Good Buddies told us about their spirit built around camaraderie and tradition of '19th Hole' bourbon.  It's all about the juice and let me just tell you this ... their brand blends smooth, approachable bourbon with a lifestyle centered on connection, conversation, and celebrating the moments that happen after the game or whatever magical event in life.  Richie and Sean tell us about how it all started, what sets their bourbon apart and the vision they have for '19th Hole' bourbon moving forward.  So, sit back for a fun filled episode of 2 Shots on a Barrel.  After you listen, check out www.19thholebourbon.com to order your bottle and come visit Good Buddies Brewing Company where this special juice will be the bourbon of the month in April!  https://www.facebook.com/groups/288170582570690 Bourbon Podcast Bo Brothers

This is Derek Miller, Speaking on Business. The Rosewood Group helps organizations strengthen leadership, align teams and build healthy workplace cultures. Through consulting and training, they guide businesses in clarifying vision, improving operations and developing people to support long-term growth. Founder, Victoria Bowman, joins us with more. Victoria Bowman: The way an organization is run affects far more than profit. It affects the people inside it. When leadership, teams and operations are misaligned, performance suffers. But when they are aligned, organizations can operate at their highest potential. I've spent my career and education studying the psychology and business practices that shape leadership, culture and long term success. At The Rosewood Group, we focus on the often invisible factors that determine whether an organization thrives or struggles. We work to align people, processes and strategy so teams have clarity, leaders build trust, and execution becomes stronger. The Rosewood Group partners with organizations across industries, and we have a special place in our work for nonprofits. By offering specialized pricing, we help nonprofits function as intended and expand the impact they make in their communities. When organizations get this right, everyone benefits. To learn more visit TheRosewoodExperience.com. Derek Miller: With the guidance and support of The Rosewood Group, organizations across Utah are building stronger foundations for long-term success. Their work helps develop leaders, empower employees and foster workplace cultures where people can grow, thrive and make a real impact. I'm Derek Miller, with the Salt Lake Chamber, Speaking on Business. Originally aired: 3/24/26

In this episode of Coffee with Samso, Noel Ong sits down with the team from PTR Minerals Limited to discuss the discovery of the Rosewood Titanium Deposit in South Australia. This is a fascinating conversation with a team that carries strong exploration credentials, including members linked to the discovery of Prominent Hill. The discussion covers how PTR Minerals moved from its Petrotherm origins into minerals exploration, how the Rosewood discovery was made through field mapping and reinterpretation of historical data, and why this shallow high-grade titanium project may become a significant story in the Australian resources sector. The team explains the geological setting, the scale potential of the mineralisation, the importance of metallurgy, and why location, infrastructure, and jurisdiction could all work in the project's favour. Key discussion points include: The background of PTR Minerals and the transition from Petrotherm How the Rosewood Titanium Deposit was discovered Why boots-on-the-ground geology still matters The scale and grade potential at Rosewood Metallurgical work and development thinking The broader copper-gold upside within PTR Minerals If you enjoy independent and organic content on ASX companies, mineral discoveries, and exploration stories, subscribe to the Samso YouTube Channel and join the Samso community.

Subscribe to This Week in Hospitality wherever you get you podcasts: Spotify - https://open.spotify.com/show/5oPExA0txHMjEI5Ye13IUy Apple Podcasts - https://podcasts.apple.com/us/podcast/this-week-in-hospitality/id1849637233 Youtube - https://www.youtube.com/@ThisWeekinHospitality   This week in hospitality, three big shifts are colliding — and none of them are getting enough attention. Hotel restaurants are no longer an afterthought. What was once a margin-draining “amenity” is now becoming one of the most powerful demand drivers a hotel can have. So what changed… and why are lenders suddenly bullish on F&B? At the same time, Hyatt is making a major move into secondary and tertiary markets — a clear signal that distribution, not differentiation, is the game they're trying to win. But does scaling faster come at the cost of brand soul? And then there's LOGE. Once one of the most talked-about outdoor hospitality brands, it's now facing a brutal reality — rapid expansion, rising costs, and the hard truth about scaling experience-driven stays. We break down: Why hotel F&B is becoming a growth engine (not a cost center) Hyatt's aggressive expansion strategy — and what it says about the market What LOGE's struggles reveal about outdoor hospitality Why “manufacturing demand” is now the only strategy that works And how hotels are losing (or winning) relevance faster than ever If you're building, investing in, or operating hospitality brands — this is the conversation you need to be paying attention to. This Week in Hospitality is presented to you by Journey. Journey is a loyalty platform built specifically for independent boutique hotels and high-touch hospitality brands. Our mission is to give operators the same powerful rewards engine, data intelligence, and guest insights that major chains rely on — without asking them to give up the individuality, soul, or story that makes their property extraordinary. If you're an owner or operator of an extraordinary, independently owned and operated hotel or residence — and you want to see whether your property is a fit for the Journey Alliance — you can learn more and apply at https://www.journey.com/alliance   Key Topics & Timestamps 00:00 — Intro 06:26 — Story #1: Hotel F&B Shifts from Cost Center to Demand Driver 23:06 — Story #2: Hyatt Expands into Secondary Markets to Fix Distribution Gap 48:04 — Story #3: World Cup Demand Reality Falls Short of Industry Expectations 01:07:46 — Spice of the Week   Your Hosts: Zach Busekrus — Journey LinkedIn: https://www.linkedin.com/in/zachbusekrus/ Instagram: https://www.instagram.com/behindthestays/   Scott Eddy — Global Travel & Hospitality Expert @MrScottEddy LinkedIn: https://www.linkedin.com/in/mrscotteddy/ Instagram: https://www.instagram.com/mrscotteddy/   Ben Wolff — Founder of Onera & Oasi LinkedIn: https://www.linkedin.com/in/ben-wolff/ Instagram: https://www.instagram.com/iambenwolff/   Edwin Kramer — Luxury Hotelier Consultant & Former GM LinkedIn: https://www.linkedin.com/in/edwinckramer/ Instagram: https://www.instagram.com/edwinkramer/

On this episode of Latinos Out Loud, ⁠@RachelLaLoca⁠ chats with Jaina Lee Ortiz and Bevin Bru; the two Latina leads of the new ABC show RJ Decker. Jaina plays Emilia “Emi” Ochoa and Bevin plays Detective Melody “Mel” Abreu, and they discuss their unique characters, and what they'd like us the viewers to take away from their performances, and interesting insight on the state of representation in Hollywood. ABOUT JAINA Jaina recently wrapped the Sony action feature “Archangel,” opposite Jim Caviezel, Garret Dillahunt and Shea Wigham. Her breakout role was Detective Annalise Villa in the hit Fox series ”Rosewood.” She was later hand-picked by Shonda Rhimes to lead the ABC drama series, “Station 19” for an impressive seven-season run. Additional television credits include the USA series “Shooter” and Amazon's “The After.” Ortiz can most recently be seen in the independent feature, “The Long Game,” alongside Dennis Quaid and Jay Hernandez. It premiered at the SXSW Film Festival, where it received the Narrative Spotlight Audience Award. Cast and filmmakers were then invited by President Biden to screen the film at the White House in advance of its release. A proud Puerto Rican American from the Boogie Down Bronx, Ortiz devotes much of her time supporting the Latin community. She was asked personally by Chief Justice Sonia Sotomayor to voice her audiobook, “The Beloved World of Sonia Sotomayor.” ABOUT BEVIN Cuban American actress, writer and producer Bevin Bru continues to solidify her place as one of Hollywood's rising talents. Best known for her breakout role as Angelique Martin in Season 2 of The CW's hit series “Batwoman,” Bru is currently starring this season on ABC's highly anticipated drama “R.J. Decker” as Detective Melody “Mel” Abreu. Born and raised in Miami, Florida, Bru discovered her passion for acting at a young age. She later moved to New York City to study at AMDA before relocating to Los Angeles to pursue her career. ABOUT THE SHOW Written by Rob Doherty (“Elementary”) and starring Scott Speedman, RJ Decker is a former newspaper photographer and ex-con who starts over as a private investigator in the colorful-if-crime-filled world of South Florida. The series follows him tackling cases ranging from slightly odd to outright bizarre with the help of his journalist ex, her police detective wife and a shadowy woman from his past who could be his greatest ally … or his one-way ticket back to prison.Inspired by Carl Hiaasen's novel “Double Whammy,” “RJ Decker” is produced by 20th Television. Rob Doherty serves as showrunner, writer and executive producer. Carl Hiaasen, Carl Beverly and Sarah Timberman are executive producers, Paul McGuigan directs and executive produces, and Scott Speedman is a producer. Release Date: March 3, 2026Network/Platform: ABC (Linear) and Hulu (Streaming)Showtime: 10:00 PM EST Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On this episode of Latinos Out Loud, ⁠@RachelLaLoca⁠ chats with Jaine Lee Ortiz and Bevin Bru; the two Latina leads of the new ABC show RJ Decker. Jaina plays Emilia “Emi” Ochoa and Bevin plays Detective Melody “Mel” Abreu, and they discuss their unique characters, and what they'd like us the viewers to take away from their performances, and interesting insight on the state of representation in Hollywood. ABOUT JAINA Jaina recently wrapped the Sony action feature “Archangel,” opposite Jim Caviezel, Garret Dillahunt and Shea Wigham. Her breakout role was Detective Annalise Villa in the hit Fox series ”Rosewood.” She was later hand-picked by Shonda Rhimes to lead the ABC drama series, “Station 19” for an impressive seven-season run. Additional television credits include the USA series “Shooter” and Amazon's “The After.” Ortiz can most recently be seen in the independent feature, “The Long Game,” alongside Dennis Quaid and Jay Hernandez. It premiered at the SXSW Film Festival, where it received the Narrative Spotlight Audience Award. Cast and filmmakers were then invited by President Biden to screen the film at the White House in advance of its release. A proud Puerto Rican American from the Boogie Down Bronx, Ortiz devotes much of her time supporting the Latin community. She was asked personally by Chief Justice Sonia Sotomayor to voice her audiobook, “The Beloved World of Sonia Sotomayor.” ABOUT BEVIN Cuban American actress, writer and producer Bevin Bru continues to solidify her place as one of Hollywood's rising talents. Best known for her breakout role as Angelique Martin in Season 2 of The CW's hit series “Batwoman,” Bru is currently starring this season on ABC's highly anticipated drama “R.J. Decker” as Detective Melody “Mel” Abreu. Born and raised in Miami, Florida, Bru discovered her passion for acting at a young age. She later moved to New York City to study at AMDA before relocating to Los Angeles to pursue her career. ABOUT THE SHOW Written by Rob Doherty (“Elementary”) and starring Scott Speedman, RJ Decker is a former newspaper photographer and ex-con who starts over as a private investigator in the colorful-if-crime-filled world of South Florida. The series follows him tackling cases ranging from slightly odd to outright bizarre with the help of his journalist ex, her police detective wife and a shadowy woman from his past who could be his greatest ally … or his one-way ticket back to prison.Inspired by Carl Hiaasen's novel “Double Whammy,” “RJ Decker” is produced by 20th Television. Rob Doherty serves as showrunner, writer and executive producer. Carl Hiaasen, Carl Beverly and Sarah Timberman are executive producers, Paul McGuigan directs and executive produces, and Scott Speedman is a producer. Release Date: March 3, 2026Network/Platform: ABC (Linear) and Hulu (Streaming)Showtime: 10:00 PM EST

Victoria Bowman, founder of The Rosewood Group, shares her journey from humble beginnings to becoming a successful entrepreneur, focusing on the crucial elements of mindset and manifestation. Emphasizing the power of setting specific intentions, Victoria encourages listeners to take charge of their own destinies. Her insights into leadership and mentorship shed light on her mission to break the glass ceiling for women and offer guidance to others navigating the path of entrepreneurship.Victoria also talks about the founding and rapid growth of The Rosewood Group, a consulting agency focused on addressing the common thread linking various industries: the wellbeing and motivation of their people. She discusses her ambitions and the driving force behind her work — the desire to bring change to communities and empower women to succeed. With a mix of professional achievements and personal anecdotes of her family's entrepreneurial spirit, Victoria reveals key lessons on leadership, balance, and following one's passion with conviction.Key Takeaways:Victoria Bowman emphasizes the importance of specific manifestations and affirmations to achieve one's goals.Her experience across multiple industries highlights the universal challenge of motivating people and optimizing leadership within organizations.Victoria shares her personal journey and relationship, revealing how she and her husband turned their early dreams into successful business endeavors.The Rosewood Group's mission is to strengthen the role of leadership in improving workplace culture and employee satisfaction.She argues that great leadership comes both from innate qualities and can be cultivated through teaching and experience.Notable Quotes:"You trust it and you run as fast as you can." – Victoria Bowman on following signs from the universe."I want to help as many people as I can before my time on this earth is over." – Victoria Bowman on her philanthropic ambitions."The program itself, we dissect leadership more than you can even imagine." – Victoria Bowman discussing her Master's in Leadership."If you put the wrong person in a leadership position, they will not be a leader." – Victoria Bowman on the importance of selecting the right leaders."I have felt deep down forever that I'm here for a reason." – Victoria Bowman on her life's purpose.Connect with Victoria Bowman:WebsiteLinkedinConnect with Rudy Mawer:LinkedInInstagramFacebookTwitter

This week the Squad Reviews Jeremy's Pick of the 1997 film "Rosewood".  Thank you everyone for listenting and we hope you enjoy the show.   Stay tuned next week for Nick's Pick "Goon"

We catch up with Kevin "Up-to-No-Good" Rosewood, get REALLY REALLY big news from ex-member of the show Disco Stick and we Nerd Up with Cameo. See omnystudio.com/listener for privacy information.

This week the Squad reviews Jonathan's pick "American Ninja".  Thank you everone for listening and we hope you enjoy the show.   Stay tuned next week when we review Jeremy's pick of 1997's Rosewood.

Interview with author Linda RosewoodBuy her great book: A Circle Outside https://blackwells.co.uk/bookshop/product/A-Circle-Outside-by-Linda-Rosewood/9781785634284?srsltid=AfmBOorbXatrzE2aScQVrPpF8GYoG9AaxdXsbeKRMhrnhQfaMYXkjeG9Lesbians and gunshttps://slate.com/life/2026/02/gun-range-safety-gay-lesbian-lgbtq-trump.htmlhttps://web.archive.org/web/20260212075943/https://slate.com/life/2026/02/gun-range-safety-gay-lesbian-lgbtq-trump.htmlhttps://www.pinkpistols.org/Remembering Jo Purvis This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.thelesbianprojectpod.com/subscribe

In January 1923, the Black town of Rosewood, Florida was surrounded, burned, and erased after a white woman accused a Black man of assault—an accusation never proven and never investigated. Over the course of several days, white mobs hunted residents, destroyed homes and churches, and forced families to flee into swamps and forests to survive. When it was over, Rosewood no longer existed—and no one was held accountable.In this episode of When Killers Get Caught, Brittany Ransom examines the Rosewood Massacre, one of the most devastating and least discussed acts of racial violence in American history. We break down how false accusations, racial hysteria, and government inaction led to the destruction of an entire Black community, why official death tolls never matched survivor testimony, and how the state of Florida failed to protect its own citizens.This episode is part of a Black History Month series exploring violence against Black Americans, alongside the Tulsa Race Massacre, the murder of Emmett Till, and the assassination of Fred Hampton. Though Rosewood was buried for decades, survivors eventually forced the truth into the light—leading to a rare moment of accountability when Florida acknowledged its role and paid reparations.Follow and join the conversation:

Looking for daily inspiration?  Get a quote from the top leaders in the industry in your inbox every morning.   Leading a team can feel like a roller coaster—big climbs, sudden drops, and moments where you wonder why you got on the ride in the first place. Matt Heller, founder of Performance Optimist Consulting helps leaders and teams stay focused and performing at their best. Through engaging keynotes, hands-on workshops, and practical coaching, we turn fear into confidence and discomfort into momentum. This means fewer breakdowns and more breakthroughs. If your organization is ready to start building real forward motion, it's time to take action and make better performance and growth your main attraction. Visit performanceoptimist.com/attractionpros for an exclusive offer! Melissa Lockwood is the General Manager of Baha Bay at Baha Mar Resort. Growing up in central Missouri, she got her start as a teenage lifeguard and worked her way into municipal parks and recreation leadership before taking a leap into international water park operations. That decision led her to open and operate major projects abroad, including seven years on Yas Island in Abu Dhabi, and then a move to Nassau in 2019 to help open Baha Bay, the 15-acre resort water park on the same property as Baha Mar's Rosewood, Grand Hyatt, and SLS hotels. In this interview, Melissa talks about boots on the ground, being comfortable being uncomfortable, and operating a luxury waterpark. Boots on the ground “Be boots on the ground management by walking around, and just being able to interact with our guests as well.” Melissa's leadership style is rooted in showing up where the work is happening, especially during peak periods. During the holiday rush, her routine centers on briefings, checking in with teams, and spending most of the day circulating throughout the park and resort pools. That presence is not performative. She wants team members to know she's there to support them, and she wants to hear guest feedback directly, in real time, so improvements can be made faster. That mindset connects to her earliest days in the industry, when she did everything in a municipal setting, from cleaning restrooms to selling concessions. Those experiences shaped a servant leadership approach where she avoids asking anyone to do something she is not willing to do herself. For Melissa, morale and operational consistency are built in the trenches, side by side with the team. Being comfortable being uncomfortable “Sometimes, you've got to be comfortable being uncomfortable.” Melissa describes her career as a series of intentional stretches. Moving abroad “sight unseen,” navigating language barriers, and leading teams with wide-ranging backgrounds all required patience, humility, and a willingness to learn in public. Her takeaway is that discomfort is not a warning sign, it's often a growth signal, especially for emerging leaders who are encountering challenges like upset guests, unfamiliar policies, or communication gaps for the first time. She coaches her team to keep perspective when situations feel hard. Her reminder is simple: it is temporary, and the comfort zone expands through repetition. She reframes growth as progress toward proficiency, not perfection. Over time, those once-intimidating moments become more natural, and she loves seeing team members make that shift and then turn around and train the next wave. Operating a luxury waterpark “We are a 15-acre luxury water park, which is a little bit of a tricky thing to piece together.” Baha Bay is both a resort amenity and a destination that sells day passes, which creates a unique operational balance. Melissa explains that “luxury” is not just a label, it's reflected in design details like landscaping, finishings, and elevated cabanas that feel like permanent structures rather than temporary setups. The goal is alignment with Baha Mar's broader brand promise as a high-end resort experience. Luxury also shows up in service expectations and consistency. Whether guests arrive from Rosewood, Grand Hyatt, SLS, a cruise ship, or an Airbnb, Melissa emphasizes that everyone deserves the same high-level experience. Her team uses shared core values across resort services to meet those expectations, and she reinforces the standard from onboarding forward. The challenge, as she puts it, is sustaining that grand-opening energy year after year, which she tackles through daily briefings, ongoing training, and recognition programs like the park's Elevation Awards. Melissa invites listeners to connect with her on LinkedIn. To learn more about the water park and resort, visit bahabay.com and bahamar.com.   This podcast wouldn't be possible without the incredible work of our faaaaaantastic team:   Scheduling and correspondence by Kristen Karaliunas   To connect with AttractionPros: AttractionPros.com AttractionPros@gmail.com AttractionPros on Facebook AttractionPros on LinkedIn AttractionPros on Instagram AttractionPros on Twitter (X)

Thomas Harlander, managing director of the Rosewood Amsterdam, talks with James Shillinglaw of Insider Travel Report at the Internova PLUS luxury travel conference in Gleneagles in Scotland about his virtually brand-new luxury hotel. Housed in the city's former Palace of Justice, the 134-room Rosewood Amsterdam has a long history as a government building, located amidst the city's canals. Now if offers a major art collection, top restaurants and a spa. For more information, visit www.rosewoodamsterdam.com.  All our Insider Travel Report video interviews are archived and available on our Youtube channel  (youtube.com/insidertravelreport), and as podcasts with the same title on: Spotify, Pandora, Stitcher, PlayerFM, Listen Notes, Podchaser, TuneIn + Alexa, Podbean,  iHeartRadio,  Google, Amazon Music/Audible, Deezer, Podcast Addict, and iTunes Apple Podcasts, which supports Overcast, Pocket Cast, Castro and Castbox. 

Rubicon - Be strategic in 2026.

In het pand waar ooit de armste kinderen van Amsterdam werden opgevangen, zit nu hotel Rosewood Amsterdam; het hyperkapitalisme ten top. Culinair recensent Hiske Versprille boekt er een kamer en voelt hoe haar verzet met het uur groeit. Dit verhaal verscheen eerder in de Volkskrant. Verhaal: Hiske VersprilleVoorgelezen door: Hiske VersprilleMontage en sounddesign: Tiemen HagemanEindredactie: Julia van Alem, Jasper VeenstraBeeld: Mark RammersSee omnystudio.com/listener for privacy information.

In 1904 Mississippi, a white man stepped off a train and made a dangerous mistake: he thought the law was on his side. He didn't realize he had just walked into Mound Bayou, the only town in the South where Jim Crow had no jurisdiction.Most history books tell us about the prosperous Black towns that were destroyed, Tulsa, Rosewood, Wilmington. But they rarely talk about the one that was too strong to burn.This is the investigative history of Mound Bayou: a "fortress" built in the middle of the Delta that used a loophole in property law to ban white ownership and create a self-sustaining economy. From a hospital with Black surgeons in the 1940s to a bank that secretly funded the Civil Rights movement when the government tried to freeze their assets, this is the blueprint for how infrastructure beats integration.It started with a paradox on a plantation and ended with a town that became a safe house for the movement. This is how they built the wall that hate couldn't climb.The Pursuit of a Dream by Janet Sharp HermannMound Bayou and the Regional Council of Negro Leadership by David T. BeitoRecords from the Taborian Hospital (National Register of Historic Places)

After we finish our current series on College Football we're going to dive into uncomfortable things about the America at 250 narrative - including events like the Ocoee Massacre and Rosewood. We will also compare the Bicentennial of 1976 to the America at 250 in 2026. Why is the storytelling so different now than it was then?

Saddle up, Liars!

⁠⁠Support us on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠---From 1880 to 1930, life on Earth was reshaped in ways previously inconceivable. Nowhere was this transformation more total than in Florida. In a single generation, a peninsula hardly charted since the days of Ponce de Leon was molded into a testing ground for new modes of living and capital accumulation. This episode of Gladio Free Europe drains the marshy mysteries of time to understand how Florida, once the most foreign of all the contiguous territories, became perhaps the most fundamentally American state of all.Jackson (@GraceCathedralPark) returns to the show for a deep exploration of modern Florida history, running from the noble failures of Reconstruction up through the reassertion of Confederate control and the establishment of a new society, a unique and twisted marriage of northern venality with southern barbarity. Gilded Age robber-barons like Henry Flagler took to the waters for pleasure and for profit, turning the remote Sunshine State into a secret garden for the idle rich. Railroads soon connected Florida to the American mainland north and south, bringing both well-heeled investors and threadbare farmers down the peninsula. Poor whites in particular saw Florida as a beacon of the New South, where a man could make his fortune in land sales or the orange boom. But these newcomers had little interest in sharing their wealth with the African American residents of Florida, some of whose ancestors had been working the swampy soil since the Spanish era.Florida after Reconstruction experienced some of the worst racial terror anywhere in the United States, with an exceptionally high rate of lynchings and episodes of mass violence at Ocoee and Rosewood, where white mobs ransacked black neighborhoods and murdered dozens upon dozens. Then the swamps, once a refuge for escaped slaves and Seminole Indians, were drained out to the sea, paved over to make room for America's newest feat of social engineering: the suburb.By the Roaring '20s, Florida's economy primarily revolved around real estate and tourism. Middle-class Americans flocked to the new neighborhoods that sprawled across the ruined wetlands, many of which were designed for cars rather than people, and most of which were racially segregated. Meanwhile significant numbers of Cuban immigarnts migrated to the Gulf port of Tampa, turning a small fishing town into a cigar city that rivaled Havana.Transformations along these lines happened across the United States, particularly in other Sun Belt regions such as Arizona and Southern California. But nowhere else were these changes so extreme, so rapid, and so destructive... not only to the natural landscape upon which these plains were laid, but on the residents pushed aside to built this petty-bourgeois fantasy. The state has been a theme park since decades before the Mouse spread his ears. In many ways, Florida is its own kind of twisted intentional community, and perhaps America's most successful utopian experiment.

Ashley Marin is rocking her hot new ankle monitor and Pastor Ted doesn't seem to mind one bit

Heyyy Tinies!Sophie's just had the loveliest birthday weekend at the Rosewood hotel complete with sweet treats, a gorgeous massage and the most thoughtful gift EVER from Melissa. Meanwhile, Melissa's also been treating herself to a spa treatment (or two) which gets the girls chatting about their best and worst massage experiences.Plus, with Halloween just around the corner, the girls talk all about costume ideas, plans and why Claudia Winkleman might be the best person to dress up as this year! And remember concealer lip? Thanks to Gabbriette, it's back and Sophie's given it a go..In this week's dilemmas, one Tiny needs advice on dealing with a needy friend. How do you handle someone who wants be involved in every plan? Another listener needs guidance on what to do about her long distance boyfriend's sexual habits... Would you want to know all the details of what they get up to alone?!Enjoy the episode x Got a dilemma, some personal advice for a fellow Tiny, or a follow-up to a previous one? Send us a voice note or message on Insta @wednesdayspodcast, or drop us an email at wednesdays@jampotproductions.co.uk--Instagram | https://www.instagram.com/wednesdayspodcast/TikTok | https://www.tiktok.com/@wednesdayspodcastEmail | wednesdays@jampotproductions.co.uk--Credits:Executive Producer: Jemima RathboneProducer: Helen BurkeAssistant Producer: Cat PhillipsVideo Editor: Lizzie McCarthySocial: Laura Coughlan Hosted on Acast. See acast.com/privacy for more information.

ACOFAE Podcast Presents: Daughters of the Moon #5: "Fandoms and exploration baby!" ACOFAE is throwing it back to the Daughters of the Moon series to have a discussion about character development and point of view. That's right, Laura Marie and Jessica Marie are using Stanton's story to drive home points about television production, backdoor pilots, and having the time to flush out a story. In book 5 of this classic 2000's YA series, Stanton's POV is the plot and the poor evil kid has issues. Torn between his love for Serena and his desire to be evil and please the Atrox, Stanton will have to confront his demons from the past and present and make the ultimate sacrifice for love. But when one of the Daughters suffers the ultimate price, what does sacrifice mean? TW / CW: none to our awareness For additional TW/CW information for your future reads, head to this site for more: https://triggerwarningdatabase.com/ Spoilers: Daughters of the Moon series Mentions: Buffy the Vampire Slayer, My So-Called Life, Supernatural, Doctor Who, Stranger Things, From Blood and Ash (FBAA), Shatter Me, The Vampire Diaries, The Originals, The Boys, Sons of the Dark, Rosewood, Pretty Little Liars, Bloodlines, Grey's Anatomy, Private Practice, Chicago Fire, Chicago PD, SVU, The Flash, Arrow, Wandavision, Rosewell, Once Upon A Time *Thank you for listening to us! Please subscribe and leave a 5-star review and follow us on Instagram (https://www.instagram.com/acofaepodcast/) at @ACOFAEpodcast and on our TikToks! TikTok: ACOFAELaura : Laura Marie (https://www.tiktok.com/@acofaelaura?) ( https://www.tiktok.com/@acofaelaura) ACOFAEJessica : Jessica Marie (https://www.tiktok.com/@acofaejessica?) (https://www.tiktok.com/@acofaejessica) Instagram: @ACOFAEpodcast (https://www.instagram.com/acofaepodcast/) https://www.instagram.com/acofaepodcast/ @ACOFAELaura (https://www.instagram.com/acofaelaura/) https://www.instagram.com/acofaelaura/

Today we are comparing Rosewood to Maple Board Telecasters - do they really sound different?? This Podcast was recorded a few months ago...sorry I'm a bit slack!! If you are interested in purchasing music gear and helping out the channel then maybe consider using our Sweetwater Affiliate link below: http://sweetwater.sjv.io/aOMWOY   Check out our Rosewood vs Maple video: https://youtu.be/ZDya5x1Y2Tc     Also, If you would like to find out more about Gabor's ToneX Collection 'GLEN' or if you would like to purchase it please use this affiliate link: https://bit.ly/myToneXCollection   If you have any questions send us an email - see below!   If you are looking to buy some IRs why not check these out and help out the channel: https://www.celestionplus.com/ref/190/   If you are thinking about releasing some music why not use DistroKid to distribute it to pretty much all the major - and less major - online music streaming and download sites AND if you click on the link below you will get 7% off your first subscription and you will help us out a little: http://distrokid.com/vip/superfunawesome Check out Gabor's song here: https://music.apple.com/au/artist/rhoame/1509873478   Also, don't forget to take a photo of what you are looking at RIGHT NOW whilest listening to this podcast and post it on our Facebook page or email it to us...links below!   Send us an email: superfunawesomehappytime@gmail.com   Please make sure to check out our new Facebook Group: SuperFunAwesome Gear Chat   Make sure to check out our YouTube channel here: www.youtube.com/c/TheSuperFunAwesomeHappyTimePedalShow   While you are interwebbing why not swing past our Facebook page and give that a 'Like': www.facebook.com/SuperFunAwesomeHappyTimePedalShow/   Or on Instagram: www.instagram.com/superfunawesomehappytime/   Where we record this stuff: www.facebook.com/PaperbarkRecordingCo/   Or if you prefer Instagram Alex: www.instagram.com/alexrottier/   Gabor: www.instagram.com/tallguywithglasses/    Thanks for listening....please make sure to SUBSCRIBE to our Podcast and YouTube channel...plenty more Podcasts and videos to come!!

Here's something a little different from the usual CHP fare. It concerns a natural substance that's not too well-known outside of Asia, mainly because it's so dang expensive! Chénxiāng 沉香 or Agarwood as it's also known, grows inside the heartwood of certain Aquilaria trees. Chenxiang has a few interesting things about it and is often mentioned in Chinese literature. This episode includes a bunch of poems and a couple of chengyu's that all contain references to chénxiāng. While I was on the subject, I'm also mentioning five other trees that, while nowhere nearly as expensoive as chenxiang, were rare and precious enough to be driven to the brink of extinction. These four are Xiǎoyè Zǐtán 小叶紫檀, Hǎinán Huánghuālí 海南黄花梨, Lǎowō Dàhóng Suānzhī 老挝大红酸枝, Jīchìmù 鸡翅木, and Jīnsī Nánmù 金丝楠木.  You could have heard this episode three months earlier if you subscribed to the Official CHP Patreon: https://www.patreon.com/TheChinaHistoryPodcast CHP Premium: https://teacupmedia.supercast.com/ The Teacup Media Website: https://teacup.media/ Thanks to all of you for listening. Reach out to me anytime at laszlo@teacup.media.        

Graeme Davis, president of Baha Mar Resort, talks with James Shillinglaw of Insider Travel Report during ILTM North America, held earlier this month, about what's new and what's planned at his signature property in Nassau, the Bahamas. The Jazz Club at Baha Mar is now featuring a full schedule of performances and Leola, Celebrity Chef Scott Connant's new Italian restaurant, is in previews getting ready to open later this fall. There's also a new Podcast studio opening at Baha Mar and a fourth hotel—being added to the Grand Hyatt, SLS and Rosewood in the complex—is under construction just down the beach. For more information, visit www.bahamar.com.  All our Insider Travel Report video interviews are archived and available on our Youtube channel  (youtube.com/insidertravelreport), and as podcasts with the same title on: Spotify, Pandora, Stitcher, PlayerFM, Listen Notes, Podchaser, TuneIn + Alexa, Podbean,  iHeartRadio,  Google, Amazon Music/Audible, Deezer, Podcast Addict, and iTunes Apple Podcasts, which supports Overcast, Pocket Cast, Castro and Castbox.  

Welcome to Spooktober! This month Movies That Raised Us will be exclusively covering Halloween classics, so grab some candy, light a candle, and let's get spooky!       Mo and Christina take on their third Spooktober pick, Pretty Little Liars' first ever Halloween episode, The First Secret (S2E13)! Join them as they discuss Lady G, psychological warfare, and how all the men in Rosewood need to be locked up.                              Our Patreon is LIVE! https://www.patreon.com/moviesthatraisedus We are thrilled to launch our Patreon with exciting perks such as a listener picked bonus movie episode, exclusive Discord, being added to our Close Friends, and a personalized thank you note!   Our merch shop is live! Check out our Raymond the Lifeguard design and so much more!! https://tinyurl.com/vxpbczup    Follow us on instagram @moviesthatraisedus   Follow us on tiktok @moviesthatraiseduspod  Follow us on twitter @mtru_pod     Do you have a movie you want us to cover next? Fill out our form! https://forms.gle/fU5vRfTk8K5Gb7cD8

Ravenswood is officially on the map in all it's blue/gray filter glory (seriously, wtf?). Spencer makes a trip there in hopes of getting answers from the ever-mysterious Mrs. Grunwald. Back in Rosewood, Tom questions Ashley and Hanna about his gun and Emily puts herself on the line to help. Aria's stuck dealing with Mike's friend, who has zero concept of personal space, and Shana keeps popping up and leaving us with more questions than answers. Oh and we also get creepy Emily mask!*THIS EPISODE WAS PRERECORDED JULY 2025Leave us a voice message at (631) 600-3916Send us an email at weareliarspod@gmail.comLet's Connect: Instagram, YouTubeMore Betty Content hereTotal Betty Merch hereJoin our Patreon: https://www.patreon.com/totalbettypodcastnetwork/Music by: Anthony ViccoraProduced and Edited by: Total Betty Podcast NetworkSnail Mail:PO BOX 553Centereach, NY 11720 ★ Support this podcast on Patreon ★

Step into Episode 181 of On the Delo as David DeLorenzo sits down with Charles Jr. (“Chuck D”) —an East Valley native behind Aftermath, Born & Bred, and the forthcoming Rosewood in downtown Gilbert—to talk craft, community, and why he wants people dressing up for dinner again.From first shifts at Tony Roma's to 15 years fast-tracking at Zinc with mentor Terry, Charles breaks down the real levers: concept, lighting, music, and a female-friendly vibe that draws everyone. The two get real on safer nightlife and DUIs, scaling pains from a 1,300→3,800 sq ft buildout, and what's next—an aggressive late-night push in Chandler.Chapter Guide (Timestamps): (0:15 – 1:02) Opening & Episode 181; welcome Charles.(1:03 – 2:23) Junior & nicknames (“Chuck D” plates; Delo's “Italian Stallion”). (2:26 – 3:01) Origin story—5th-gen AZ; Mesa/Chandler/Gilbert roots. (6:52 – 8:27) First jobs: Tony Roma's → Outback lessons. (11:41 – 13:29) Zinc years & discovering hospitality as craft. (18:00 – 20:07) Launching Aftermath in Uptown; scaling from 1.3k→3.8k sq ft. (22:41 – 23:48) Where to find them: Aftermath (Phoenix), Born & Bred (Scottsdale & Chandler), Rosewood → downtown Gilbert. (25:17 – 27:05) Mature crowd, safer nights; calling out DUIs. (39:56 – 40:24) Chandler goes late-night—food & cocktail specials. (40:33 – 42:27) Rapid fire: read minds, water slides, gold, flip-phone experiment. (45:06 – 45:28) Health: lift weights & bodyweight focus.

This week, Pastor Austin continues his series, Criticizing Jesus. He examines Jesus' divinity and how we can question it today. 

The girls are diving headfirst into danger—literally. Aria's processing heartbreak the only way she knows how: by developing immediate chemistry with her hot martial arts instructor. Spencer? Spiraling. Again. This time it's over a rejection from UPenn, and she's handling it like any academically obsessed teen would: with an existential crisis and zero chill. Meanwhile, Toby's cracking open his emotional vault to talk about his mother's death—and honestly, it's devastating. Is this growth? Is this a setup? Is this Rosewood? Yes to all of the above.*THIS EPISODE WAS PRERECORDED JUNE 2025Leave us a voice message at (631) 600-3916Send us an email at weareliarspod@gmail.comLet's Connect: Instagram, YouTubeMore Betty Content hereTotal Betty Merch hereJoin our Patreon: https://www.patreon.com/totalbettypodcastnetwork/Music by: Anthony ViccoraProduced and Edited by: Total Betty Podcast NetworkSnail Mail:PO BOX 553Centereach, NY 11720 ★ Support this podcast on Patreon ★

When Fender switched the Telecaster from one-piece maple necks to rosewood fingerboards in 1959, the guitar's sound and feel changed forever. In this video, I take a close look at the history of rosewood-board Telecasters, why Fender made the switch, and what makes them unique.I'll also share my theory: it's not just the rosewood itself, but the stiffness of the rosewood plus maple neck construction that really changes the tone compared to an all-maple neck. That extra rigidity shapes the attack, sustain, and overall resonance of the guitar in a way you can feel as much as hear. I also take a look at the 59-style Custom Esquire that I play throughout the video.Support the show

Art runs Matt and Patrick through the final session of The Rose in the Garden a little quicker than expected, which left time for a nice wrap-up discussion about Rosewood Abbey, the setting, and PbtA in General.Join us on our Discord: https://discord.gg/tQGJVsrnNpFollow us on Blue Sky and X @BlackLodgeRPG and on Mastadon @ BLTNRecorded on 8/7/25Rosewood Abbey:https://rolistespod.itch.io/rosewood-abbeyIntro Theme: Dances and Dames by Kevin MacLeod.In session music provided by Tabletop RPG Music: www.patreon.com/tabletoprpgmusic(00:00:00) Intro(00:03:12) Trivia(00:07:19) Recap(00:09:38) Start of Session(00:57:55) Post-game discussion

As they recap season 5 episode 11 of PLL, "No One Here Can Love or Understand Me", Ash and Hayley realise it's Hot Choccy Night in Rosewood! They also put their hat watch heads to use and learn about reblocking fedoras (Bywrong style).   You can also WATCH our regular fortnightly episodes on the Call An Adult YouTube channel: https://www.youtube.com/@CallAnAdult Want more Call An Adult? Come join our Dollhouse over on Patreon! patreon.com/callanadult

When was the last time you got quiet enough to hear what your life is already telling you?What powers your best decisions—hustle or quiet? Chef-founder and former actor Vikki Krinsky shares how she turned premonition-level intuition, elite-client kitchen experience, and stubborn resilience into VK Bars, a clean B12 energy bar now landing in luxury hotels—without venture money. From a life-altering choice at 15 to follow her inner signal, to staging in Europe, to cooking for A-listers, to saying “no” to additives and “yes” to athletes, Vikki shows how to stack wins, slow down, and let feelings inform execution. Show Notes00:00 – Who is Vikki? “Fuel” as a life theme; movement, mind, and food as energy.02:00 – Immigrating S. Africa → Canada; early journaling; adversity shaping drive.04:30 – Premonitions as a kid; learning to nurture intuition.07:00 – Pivotal choice at 15: soccer scholarship dreams vs. TV pilot—listening to guidance.10:30 – Industry pressure to get “camera-ready”; shifting into nutrition & training.13:30 – Walking away from acting; backpacking to Paris; invited to stage in elite kitchens.18:00 – Self-taught path, asking for a shot in Swiss & Spanish kitchens.22:00 – Back to LA: Equinox → first celeb client; learning by doing (and owning mistakes).24:00 – Her real edge: empathy + energy with talent under body-image pressure.26:00 – Underpaid → create the VK Method → A-List Appetite food delivery.29:00 – Quiet practices: “staring at walls,” micro-pauses, best-case intention setting.37:00 – “Stack the wins” as fuel.38:00 – Cooking for Seth MacFarlane; caffeine problem → B12 exploration.40:00 – Prototyping energy bites on set; cold-calling manufacturers.41:00 – Everyone says “don't do it” → she does it anyway; 2020 launch, pause, reformulate.42:00 – Clean label differentiators (rosemary as preservative; no “natural flavors”).43:00 – Door-to-door selling; wins with Four Seasons, Bel-Air, Rosewood; bootstrapping grit.45:00 – New nudge: fueling female athletes with real ingredients. ****Release details for the NEW BOOK. Get your copy of Personal Socrates: Better Questions, Better Life Connect with Marc >>> Website | LinkedIn | Instagram | Drop a review and let me know what resonates with you about the show!Thanks as always for listening and have the best day yet!*A special thanks to MONOS, our official travel partner for Behind the Human! Use MONOSBTH10 at check-out for savings on your next purchase. ✈️*Special props

What does it take to turn six acres into a destination for food, flowers, and connection?  On this episode of the Thriving Farmer Podcast, Michael talks with Julie Warpinski, founder of Rosewood Farm in Sugar Grove, Illinois. Drawing on her background as a chef, Julie has transformed six acres into a vibrant destination for seasonal produce, fresh flowers, and memorable events. From CSA programs and farm camps to weddings and cooking classes, Rosewood blends the beauty of farm life with the joy of gathering. In this episode, you'll hear: From Kitchen to Field – How Julie's culinary roots inspired her journey into farming [0:57] Hands-On Learning – The types of classes and educational programs offered at Rosewood [8:07] Seasonal Growing – How Rosewood produces fresh vegetables and flowers throughout the year [10:31] Marketing the Farm – The strategies Julie uses to reach and engage her customers [16:18] Life on the Farm – What a typical day looks like and how Julie manages her time [27:47] Sustainability in Practice – Julie's perspective on long-term living and working on the farm [31:02] Serving the Community – Where Rosewood's customers come from and how they connect with the farm [40:50] Words of Wisdom – Julie's advice for leaving a corporate job to start a farm [43:38]   Don't miss this episode if you're curious about blending good food, community spirit, and sustainable farming into one thriving business.   About the Guest: Former chef turned passionate farmer, Julie founded Rosewood Farm to reconnect people with the source of their food. What began as a personal journey has grown into a thriving community hub focused on naturally grown produce, fresh-cut flowers, and hands-on education. Rosewood Farm hosts seasonal events, farm camps, and cooking classes to inspire a deeper appreciation for sustainable living.   Connect with Rosewood Farm:

The robots have officially infiltrated our makeup bags, and honestly, we're not mad about it! Sarah Marie and Kelly have just had their minds completely blown by their new AI beauty guru who's serving up personalised skincare routines, discount code treasure hunts, and celebrity makeup recreations with the efficiency of a beauty editor and the charm of your most knowledgeable friend! Watch as Kelly gets a complete dry skin intervention from her newly-named digital bestie Luma, whilst Sarah Marie attempts to recreate Hailey Bieber's glazed goddess look, spoiler alert... Chat GBT has some pretty expensive taste! LINKS TO ALL THE PRODUCTS MENTIONED IN THIS EPISODE: Kelly's Morning Skin Routine: Cleansers: Tatcha The Rice Wash Soft Cream Cleanser $70 CeraVe Hydrating Cleanser $17.99 Toner/Essence: SK-II, Facial Treatment Essence $139 Hada Labo, Lotion No.1 Super Hydrator $36 Hydrating Serum: Dr. Barbara Sturm, Hyaluronic Serum $518 The Ordinary, Hyaluronic Acid 2% + B5 $14.30 Moisturiser: Augustinus Bader, The Rich Cream $297 La Roche-Posay, Toleriane Riche $32.99 SPF: Ultra Violette, Supreme Screen $52 Bondi Sands, SPF 50+ Fragrance Free Face Lotion $16.99 Kelly's Night Routine: Cleanser: Banila Co, Clean It Zero Cleansing Balm $20 Hydrating Mist/Essence: Avène Thermal, Spring Water Spray $19.99 Hydrating Mist/Essence: Estée Lauder, Advanced Night Repair $98 Barrier Repair Cream/Rich Moisturiser: La Mer, Crème de la Mer $362 Weleda Skin Food $28.96 CeraVe PM $25.99 Sarah Marie's Makeup Skin Routine: Skin Prep: Rhode, Glazing Milk $104.42 M·A·C Cosmetics, Hyper Real Serumizer $108 Embryolisse, Lait-Crème Concentré $28 Base:Chanel, Les Beiges Eau De Teint Water Fresh Complexion Touch $117 Giorgio Armani, Luminous Silk Foundation $120 Rare Beauty, Liquid Touch Brightening Concealer $38 Westman Atelier, Vital Skincare Powder $131 Bronzer/Blush: Makeup By Mario, Softsculpt Transforming Skin Enhancer $63 Rare Beauty, Soft Pinch Liquid Blush $45 Glow: Charlotte Tilbury, Beauty Light Wand $60 Highlight: Saie, Glowy Super Gel $47.42 Lisa Eldridge, Elevated Glow Highlighter Eyes: Tom Ford, Cream and Powder Eye Colour Naked Bronze $103 Charlotte Tilbury, Eyes To Mesmerise $50 Liner: Victoria Beckham, Satin Kajal Liner in Cocoa $57 Mascara: Lancôme, Lash Idole Mascara $66 Brows: Refy, Brow Sculpt $39 Benefit, Precisely My Eyebrow Pencil $48 Lips: Charlotte Tilbury, Lip Cheat in Pillow Talk Medium $40 Summer Fridays, Lip Butter Balm in Pink Sugar $42 Dior, Addict Lip Glow Oil in Rosewood $65 Set: M·A·C Cosmetics, Fix + Stay Over $59 Charlotte Tilbury, Airbrush Flawless Setting Spray $56 FOR MORE WHERE THIS CAME FROM: Watch & Subscribe on Youtube here Follow us on Instagram: @youbeautypodcast Follow us on TikTok: @youbeautypod Join our You Beauty Facebook Group here For our product recommendations, exclusive beauty news, reviews, articles, deals and much more - sign up for our free You Beauty weekly newsletter here Subscribe to Mamamia here GET IN TOUCH: Got a beauty question you want answered? Email us at youbeauty@mamamia.com.au or send us a voice message, and one of our Podcast Producers will come back to you ASAP. You Beauty is a podcast by Mamamia. Listen to more Mamamia podcasts here. CREDITS: Hosts: Sarah Marie Fahd & Kelly McCarren Producer: Mollie Harwood & Sophie Campbell Audio Producer: Tegan Sadler Video Producer: Marlena Cacciotti Mamamia's studios are furnished with thanks to Fenton & Fenton. For more head to their website here. Mamamia acknowledges the Traditional Owners of the Land we have recorded this podcast on, the Gadigal people of the Eora Nation. We pay our respects to their Elders past and present, and extend that respect to all Aboriginal and Torres Strait Islander cultures.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Send us a textWhat does it mean when tough men admit they cry? In this unexpectedly moving episode, four friends create a safe space to discuss vulnerability and the surprising things that trigger their emotions - from touching father-daughter stories to dog movies that destroy them.The conversation begins with a surprising admission: as these men have entered their 30s, 40s and 50s they've noticed themselves becoming more emotional. One host shares how listening to a story on the radio about a father following his daughter's school bus to ensure she could participate in a field trip nearly moved him to tears just retelling it. This opens the floodgates as each man confesses which movies have reduced them to tears - with dog films like Marley and Me, Old Yeller and Benji being universal triggers. The authenticity is palpable as one host admits to crying during a screening of Marley and Me hours before a football game, completely unconcerned about his upcoming athletic performance.The conversation takes a powerful turn when discussing films about racial injustice. Several hosts admit they've had to limit watching certain Black historical dramas because the emotional toll is too great. "Mississippi Burning," "Rosewood," and "Fruitvale Station" are cited as films that left them not just sad but angry and emotionally drained.Between these vulnerable moments, the group pivots to discussing current events - including a former Phoenix news anchor's massive PPP loan fraud scheme - and childhood nostalgic treats now turned into ice cream. Throughout these varied topics, the cohesive thread remains their willingness to be genuine with each other, creating a refreshingly honest podcast experience that challenges listeners to embrace their own vulnerability.If you've ever felt alone in your emotional responses or wondered if it's okay for men to show their feelings, this episode provides both validation and permission to embrace the full spectrum of human emotion.Thanks for listening to the Nobody's Talking Podcast. Follow us on Twitter: (nobodystalking1), Instagram : (nobodystalkingpodcast) and email us at (nobodystalkingpodcast@gmail.com) Thank you!

On NOBODY KNOWS ANYTHING, we love case-of-the-week shows with acronyms for names, from “NCIS” to “Chicago PD” to “Law and Order: SVU.” On this week’s show, we get in on the procedural fun with actors Taran Killam, Mary Elizabeth Ellis, and Anna Konkle. Listen as our guests pitch their own procedurals, and try to solve the crime of bad movies and TV. Guests: Actors Taran Killam (“Saturday Night Live,” “High Potential,” “The Residence,”) Mary Elizabeth Ellis (“It’s Always Sunny in Philadelphia,” “A Man on the Inside,” “Licorice Pizza,”) and Anna Konkle (“PEN15,” “Side Quest,” “Rosewood.”) NOBODY KNOWS ANYTHING is a production of The Black List, LAist Studios, and The Ankler. New episodes premiere Tuesdays and you can listen to the show on the radio at LAist 89.3 Saturdays at 7 p.m. and Sundays at 10 p.m. Visit www.preppi.com/LAist to receive a FREE Preppi Emergency Kit (with any purchase over $100) and be prepared for the next wildfire, earthquake or emergency! Support for this podcast is also brought to you by Gordon and Dona Crawford, who believe that quality journalism makes L.A. a better place to live.

On NOBODY KNOWS ANYTHING, we love case-of-the-week shows with acronyms for names, from “NCIS” to “Chicago PD” to “Law and Order: SVU.” On this week’s show, we get in on the procedural fun with actors Taran Killam, Mary Elizabeth Ellis, and Anna Konkle. Listen as our guests pitch their own procedurals, and try to solve the crime of bad movies and TV. Guests: Actors Taran Killam (“Saturday Night Live,” “High Potential,” “The Residence,”) Mary Elizabeth Ellis (“It’s Always Sunny in Philadelphia,” “A Man on the Inside,” “Licorice Pizza,”) and Anna Konkle (“PEN15,” “Side Quest,” “Rosewood.”) NOBODY KNOWS ANYTHING is a production of The Black List, LAist Studios, and The Ankler. New episodes premiere Tuesdays and you can listen to the show on the radio at LAist 89.3 Saturdays at 7 p.m. and Sundays at 10 p.m. Visit www.preppi.com/LAist to receive a FREE Preppi Emergency Kit (with any purchase over $100) and be prepared for the next wildfire, earthquake or emergency! Support for this podcast is also brought to you by Gordon and Dona Crawford, who believe that quality journalism makes L.A. a better place to live.

On NOBODY KNOWS ANYTHING, we love case-of-the-week shows with acronyms for names, from “NCIS” to “Chicago PD” to “Law and Order: SVU.” On this week’s show, we get in on the procedural fun with actors Taran Killam, Mary Elizabeth Ellis, and Anna Konkle. Listen as our guests pitch their own procedurals, and try to solve the crime of bad movies and TV. Guests: Actors Taran Killam (“Saturday Night Live,” “High Potential,” “The Residence,”) Mary Elizabeth Ellis (“It’s Always Sunny in Philadelphia,” “A Man on the Inside,” “Licorice Pizza,”) and Anna Konkle (“PEN15,” “Side Quest,” “Rosewood.”) NOBODY KNOWS ANYTHING is a production of The Black List, LAist Studios, and The Ankler. New episodes premiere Tuesdays and you can listen to the show on the radio at LAist 89.3 Saturdays at 7 p.m. and Sundays at 10 p.m. Visit www.preppi.com/LAist to receive a FREE Preppi Emergency Kit (with any purchase over $100) and be prepared for the next wildfire, earthquake or emergency! Support for this podcast is also brought to you by Gordon and Dona Crawford, who believe that quality journalism makes L.A. a better place to live.