Podcasts about DIC

Basé sur une BD américaine de George Gately, Les Entrechats est un dessin animé du studio DIC de Jean Chalopin, producteur des Mystérieuses cités d'or, Inspecteur Gadget ou encore Les Minipouss. Diffusée d'abord aux États-Unis, la série arrive en France à partir d'octobre 1985 sur FR3, dans la fameuse case quotidienne de 19h55. Comme pour l'ensemble des productions de Jean Chalopin, c'est Haim Saban qui s'occupe de la musique avec son ami compositeur Shuki Levy. Quant au chant, on retrouve Noam…

Losing a spouse is already life-altering. Losing a spouse in the line of duty brings an entirely different level of grief, pressure, and financial complexity that most people never fully understand. In this episode, Stacy Francis talks with Air Force veteran, widower, financial therapist, and fee-only advisor Daniel Kopp about the unique challenges Gold Star spouses face after loss. Daniel breaks down the financial benefits available to surviving military families, the critical deadlines many people miss, and the emotional side of suddenly having to take over every financial decision while grieving. You'll hear them discuss: What it means to be a Gold Star spouse and the unique financial planning issues military widows face The key survivor benefits available through the military and VA, including SBP, DIC, Social Security, and life insurance payouts The little-known HEART Act strategy that may allow surviving spouses to move up to $600,000 into a Roth IRA How the Fry Scholarship and Chapter 35 benefits can help spouses and children receive college education support Why grief and financial anxiety are so deeply connected after losing a partner How financial therapy helps widows rebuild confidence and feel more in control of their financial future The importance of finding support systems and communities that truly understand military loss Resources Daniel Kopp on Wise Stewartship Financial Planning | Email: daniel@WiseStewardshipFP.com | Widow Life & Money Podcast | LinkedIn Stacy Francis on LinkedIn | X(Twitter) | Email FrancisFinancial.com Reach out to receive a complimentary consultation! Contact Francis Financial at +212-374-9008 or visit Francis Financial today!

In this episode, Kayleigh sits down with Katherine to hold space for the layers of trauma that can exist alongside stillbirth and loss. Katherine shares the story of her son Brody, the life-threatening complications she experienced after his birth, and the continued trauma that unfolded in her pregnancy and delivery with her living child.Through her unfiltered honesty, Katherine sheds light on the often-overlooked realities of birth trauma within the loss community, and reminds us that grief and trauma can coexist in complex, valid ways.

Welcome to CHUCKYVISION, a podcast about the horror franchise Child's Play/Chucky, the surrounding culture, and other killer doll films. Mark and Dev are unpacking the 1988 horror classic... one minute at a time! In our 87th minute of CHILD'S PLAY, we deliberate on how much second unit effort have we appreciated, the relation of Yaghers, the maligned original credits song, DiC or Dick, unheard disco music, plus modern audience opinions from Letterboxd and Common Sense Media! Host: Mark Adams Co-Host: Dev Elson Editor: Dev Elson Executive Producer: Tony Black Twitter/BlueSky:  @ChuckyVision  Our Network:   @filmstories filmstories.co.uk Title music: At the Beginning (c) Dark Fantasy Studios Cover Art: Ama @Amasc0met Logo: Elliot @Elliottt93 Learn more about your ad choices. Visit megaphone.fm/adchoices

Boo and Evan are joined by the one and only Reverend Ruin. They get in on the 6th episode of the very problematic 80's pillar of DiC animation, MASK.If you'd like to contact the guys, they'd love to hear from you!Morethanmeetstheseguys@gmail.comhttps://discord.gg/sKr8jwaAvhIf you'd like to toss a buck or more per episode, we'd adore and say nice things about you. You don't have to, as we'll still gladly hang out with you guys and gals every week, but we appreciate any help! patreon.com/user?u=69144181

In this episode, Kayleigh sits down with two best friends, Sam and Paige, whose lives became forever intertwined through shared birth trauma. What began as a friendship rooted in everyday life quickly transformed into something much deeper when both women experienced rare, life-threatening birth complications just months apart.Together, they open up about the shock, grief, and confusion of their experiences, the parts they remember (and the parts they don't), and the complex emotions that followed. Most importantly, they share what it means to have each other a person who truly gets it, in a space that can feel incredibly isolating.This episode is a testament to the power of connection, validation, and being seen in your hardest moments.

Neste episódio do GrowthCast, recebo uma lenda viva das vendas no Brasil: Ciro Bottini. Conhecido por sua trajetória icônica no Shoptime, Bottini já realizou mais de 30.000 apresentações de produtos ao vivo e movimentou mais de R$ 10 bilhões em vendas ao longo de sua carreira.Bottini abre o jogo sobre como transformou a venda em entretenimento, quebrando o padrão das propagandas tradicionais para prender a atenção e converter audiência em lucro. Falamos sobre a psicologia por trás do "compre agora", a importância da marca pessoal e por que a venda é, acima de tudo, um processo emocional.O que você vai aprender neste episódio:A Regra das 30.000 Horas: Os bastidores do treinamento exaustivo e da preparação antes de entrar no ar.Venda como Entretenimento: Como usar o humor e a quebra de padrão para reter a atenção do cliente e vender mais.Marca Pessoal Forte: Por que o cliente compra o vendedor antes de comprar o produto.Gatilhos Mentais na Prática: O uso estratégico da escassez, urgência e autoridade para destravar a decisão de compra.Modulação de Voz e Dicção: Como a forma de falar impacta diretamente a sua credibilidade e poder de persuasão.Prospecção Ativa: Por que mesmo sendo uma celebridade, Bottini continua prospectando via LinkedIn até hoje.Se você quer aprender com o homem que revolucionou o e-commerce na TV e entender como aplicar o carisma e o método de vendas em qualquer negócio, assista a este vídeo até o final.

Neste episódio do GrowthCast, recebo uma lenda viva das vendas no Brasil: Ciro Bottini. Conhecido por sua trajetória icônica no Shoptime, Bottini já realizou mais de 30.000 apresentações de produtos ao vivo e movimentou mais de R$ 10 bilhões em vendas ao longo de sua carreira.Bottini abre o jogo sobre como transformou a venda em entretenimento, quebrando o padrão das propagandas tradicionais para prender a atenção e converter audiência em lucro. Falamos sobre a psicologia por trás do "compre agora", a importância da marca pessoal e por que a venda é, acima de tudo, um processo emocional.O que você vai aprender neste episódio:A Regra das 30.000 Horas: Os bastidores do treinamento exaustivo e da preparação antes de entrar no ar.Venda como Entretenimento: Como usar o humor e a quebra de padrão para reter a atenção do cliente e vender mais.Marca Pessoal Forte: Por que o cliente compra o vendedor antes de comprar o produto.Gatilhos Mentais na Prática: O uso estratégico da escassez, urgência e autoridade para destravar a decisão de compra.Modulação de Voz e Dicção: Como a forma de falar impacta diretamente a sua credibilidade e poder de persuasão.Prospecção Ativa: Por que mesmo sendo uma celebridade, Bottini continua prospectando via LinkedIn até hoje.Se você quer aprender com o homem que revolucionou o e-commerce na TV e entender como aplicar o carisma e o método de vendas em qualquer negócio, assista a este vídeo até o final.

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

With the next Mario movie a little under a week from release, our hosts return to DiC's divisive take on the franchise with the first of two Saturday morning installments they made. The Adventures of Super Mario Bros 3 took the brothers to a more accurate to the games Mushroom Kingdom, but did it without half the cast of the Super Show and with a massive time crunch for production. It's a wild ride, and we hope you all enjoy our look back at it!

Description:Jane Babcock joins the VET S.O.S. Network to dive into one of the most critical topics for veterans and their families: understanding VA benefits that are often overlooked.A U.S. Army veteran and former County Veteran Service Officer, Jane spent more than a decade helping veterans successfully file VA claims and access the benefits they earned. Today, she continues educating the veteran community on how to navigate the VA system and protect their families' futures. In this episode, we explore:• Survivor death compensation (DIC) and benefits available to veteran families• Military funeral honors and memorial benefits veterans are entitled to• How Aid & Attendance benefits help veterans and spouses with long-term care• Why connecting with a Veteran Service Officer (VSO) can change everythingWhether you're navigating military transition, planning for the future, or helping a veteran family member access their benefits, this episode provides actionable guidance that could have a lasting impact.About the Guest:Jane Babcock served in the U.S. Army and Army Reserves from 1982 to 2004 and later worked 11.5 years as a nationally accredited County Veteran Service Officer, filing over 1,200 claims for veterans and their survivors. She now volunteers her time educating veterans and families about the benefits available to them.Grab the Lifeline:The VET S.O.S. Network connects veterans, spouses, and service members with real resources and real people who want to see you thrive.Follow the Show & Explore More Episodes:VET S.O.S.VET S.O.S. Presents Operation Startup (Veteran Entrepreneur Spotlight)VET S.O.S. Presents Learning Lifeline (Veteran Educational Resources Spotlight)VET S.O.S. Presents The ScoopConnect with VET S.O.S.:Website: vetsospodcast.comX/Twitter: @vetsospodcastLinkedIn: linkedin.com/company/vetsospodcastYouTube: youtube.com/@vetsospodcastFacebook: facebook.com/vetsospodcastInstagram: instagram.com/vetsospodcastTikTok: tiktok.com/@vetsospodcast#VETSOS#VeteransBenefits#VAClaims#VeteranSupport#MilitaryTransition#AidAndAttendance#VeteranResources#VeteranFamilies#DICBenefits#GrabTheLifeline

Time Between Times PodcastThe Death of Dic PenderynIn this powerful and deeply moving episode of Time Between Times, Welsh storyteller Owen Staton journeys into the fiery heart of industrial Wales to tell the tragic and haunting story of Dic Penderyn.Travel back with Owen to the iron town of Merthyr Tydfil in 1831, where furnaces roared day and night and thousands of workers laboured in smoke and hardship beneath the shadow of powerful ironmasters like William Crawshay.When poverty, injustice and desperation finally erupted into rebellion during the Merthyr Rising, a quiet young labourer from the village of Penderyn would find himself caught in the brutal machinery of power and politics.Accused of stabbing a soldier during the uprising, Dic Penderyn was tried in Cardiff, condemned to death, and hanged outside the walls of Cardiff Gaol in 1831.But was he guilty?Or was he sacrificed as a warning to the working people of Wales?In this atmospheric twenty-minute story Owen brings the past to life with passion, history and heart. From the blazing furnaces of Merthyr to the lonely scaffold in Cardiff, and finally to Dic's resting place at St Mary's Church, this is a tale of rebellion, injustice and the echoes that still linger in the valleys of Wales.And as always in the world of Time Between Times, the story does not end with death… because some say the spirit of Dic Penderyn still walks beneath the mist of the mountains.So dim the lights, settle in, and join Owen Staton for a story of courage, tragedy and memory.

Book a call: https://remnantfinance.com/calendar ! Out Print the Fed with 1% per week: https://remnantfinance.com/optionsEmail us at info@remnantfinance.com or visit https://remnantfinance.com for more informationFOLLOW REMNANT FINANCEYoutube: @RemnantFinance (https://www.youtube.com/@RemnantFinance )Facebook: @remnantfinance (https://www.facebook.com/profile.php?id=61560694316588 )Twitter: @remnantfinance (https://x.com/remnantfinance )TikTok: @RemnantFinanceDon't forget to hit LIKE and SUBSCRIBE_____________________________Most service members walk into the SBP decision the same way: someone hands them a checkbox at out-processing and they default to yes. But the Survivor Benefit Plan is a 30-year financial commitment with no cash value, no inheritance, and no way out once the window closes — and most people never study it before signing.In this episode, Brian and Hans break down everything you need to know about the Survivor Benefit Plan before you're forced to make the decision — including when it makes sense, when it doesn't, and how whole life structured for IBC can make the conversation almost irrelevant if you start early enough.Chapters: 00:00 – Opening segment 01:00 – What SBP is and why it matters at retirement 08:25 – How the premium and benefit structure works 14:05 – The three major problems with SBP 18:55 – When SBP actually pays off 26:35 – DIC: the VA benefit that changed the math in 2023 37:00 – The whole life alternative: side-by-side comparison 42:50 – Starting early vs. starting at retirement: the 10-year difference 49:35 – Full SBP vs. partial vs. whole life only: running the scenarios 57:40 – The hybrid approach 1:01:00 – Who SBP is right for1:04:05 – Closing thoughtsKey Takeaways:The question isn't full SBP or nothing. Most people never realize they can elect a partial SBP — say 25% — and get a guaranteed annuity for their spouse at a fraction of the cost. The checkbox you get handed at retirement doesn't show you that option.Every dollar into SBP disappears into a government system and never comes back. There's no cash value, no policy loan, no asset to transfer. If your spouse dies before you, you've lost every premium paid with no refund and no recourse.The nightmare scenario for SBP isn't dying young — it's living long and watching your spouse die first. You pay 30 years of premiums, your spouse predeceases you, and the government keeps every dollar. With whole life, the asset survives.Know yourself before you decide. If Parkinson's Law runs your financial life and you'd spend the premium money anyway, take the SBP. Forced protection beats no protection. But if you have the discipline and cash flow to build something real, the whole life path wins on almost every timeline beyond the first few years.

17 And Jesus going up to Jerusalem, took the twelve disciples apart, and said to them:Et ascendens Jesus Jerosolymam, assumpsit duodecim discipulos secreto, et ait illis : 18 Behold we go up to Jerusalem, and the Son of man shall be betrayed to the chief priests and the scribes, and they shall condemn him to death.Ecce ascendimus Jerosolymam, et Filius hominis tradetur principibus sacerdotum, et scribis, et condemnabunt eum morte, 19 And shall deliver him to the Gentiles to be mocked, and scourged, and crucified, and the third day he shall rise again.et tradent eum gentibus ad illudendum, et flagellandum, et crucifigendum, et tertia die resurget. 20 Then came to him the mother of the sons of Zebedee with her sons, adoring and asking something of him.Tunc accessit ad eum mater filiorum Zebedaei cum filiis suis, adorans et petens aliquid ab eo. 21 Who said to her: What wilt thou? She saith to him: Say that these my two sons may sit, the one on thy right hand, and the other on thy left, in thy kingdom.Qui dixit ei : Quid vis? Ait illi : Dic ut sedeant hi duo filii mei, unus ad dexteram tuam, et unus ad sinistram in regno tuo. 22 And Jesus answering, said: You know not what you ask. Can you drink the chalice that I shall drink? They say to him: We can.Respondens autem Jesus, dixit : Nescitis quid petatis. Potestis bibere calicem, quem ego bibiturus sum? Dicunt ei : Possumus. 23 He saith to them: My chalice indeed you shall drink; but to sit on my right or left hand, is not mine to give to you, but to them for whom it is prepared by my Father.Ait illis : Calicem quidem meum bibetis : sedere autem ad dexteram meam vel sinistram non est meum dare vobis, sed quibus paratum est a Patre meo. 24 And the ten hearing it, were moved with indignation against the two brethren.Et audientes decem, indignati sunt de duobus fratribus. 25 But Jesus called them to him, and said: You know that the princes of the Gentiles lord it over them; and they that are the greater, exercise power upon them.Jesus autem vocavit eos ad se, et ait : Scitis quia principes gentium dominantur eorum : et qui majores sunt, potestatem exercent in eos. 26 It shall not be so among you: but whosoever will be the greater among you, let him be your minister:Non ita erit inter vos : sed quicumque voluerit inter vos major fieri, sit vester minister : 27 And he that will be first among you, shall be your servant.et qui voluerit inter vos primus esse, erit vester servus. 28 Even as the Son of man is not come to be ministered unto, but to minister, and to give his life a redemption for many.Sicut Filius hominis non venit ministrari, sed ministrare, et dare animam suam redemptionem pro multis.Jesus foretells His Passion and Ressurection. He will make us participants in His Resurrection if we die to our sins.

Ash Parrish hosts the blackest episode of Insert Credit yet, with an all-star panel of former guests and contributors. Hosted by Ash Parrish, with Topher Florence, Vanessa B, and Pro Kesadia. Edited by Esper Quinn, original music by Kurt Feldman. Watch episodes with full video on YouTube Discuss this episode in the Insert Credit Forums SHOW NOTES: “My brothers and sisters of the United States of America, tonight we, the free people of the resistance, ask you to become one of us” Curling Funky Kong Figure Skating Sonic Adventure Balatro Snowboarding 1: Is there still a place for live service games right now? (05:01) Highguard Overwatch Overwatch 2 drops the 2 and goes back to being Overwatch Highguard Is Yet Another Symptom – And Victim – Of A Rapidly Decaying Internet Marvel Rivals Helldivers II 2XKO Riot Spent A Decade Developing A Fighting Game Then Laid Off Around 80 Developers Less Than One Month After Release Fortnite Disney Speedstorm Concord Emma Frost Cloak and Dagger Taskmaster Runaways Silk Anya Corazon League of Legends Arcane Killmonger Cut 2: Who should be the next Nintendo character to get hit with the baby ray? (13:46) Mario Tennis Aces Baby Waluigi Baby Wario Babality Baby Rosalina Mario Kart World Toad Yoshi Bowser Jr. Bowser Pauline Donkey Kong Bananza Samus Link Ganondorf E. Honda Dr. Mario Space Warlord Baby Trading Simulator 3: If you were taking up the mantle of MF Doom, what cartoons would you use in your skits? (17:42) MF Doom Johnny Quest Fantastic Four Static Shock The Pirates of Dark Water Mummies Alive! Reboot Transformers: Beast Wars Cheetor Dinobot Optimus Primal Silverbolt 4: Who is the “I would have voted for Obama for a third time” of video games? (20:51) Ken Levine BioShock Abbott Elementary Jacob Neil Druckmann Geoff Keighley Todd Howard The Elder Scrolls V: Skyrim Wolfenstein II: The New Colossus Grace Walker Super Spesh Insert Credit Quick Break: Brenton Woodrow's Marathon (25:35) 5: Alex Jaffe asks, which 21st century video games would be best for a 1980's DiC-style cartoon? (26:52) DIC Entertainment The Super Mario Bros. Super Show! Captain N: The Game Master Splatoon SpongeBob SquarePants Kirby Kirby: Right Back at Ya! King Dedede Avatar: the Last Airbender Among Us Among Us Show Elijah Wood Minions Castle Crashers Alien Hominid 6: Brandon Sheffield asks, why is the Sega Genesis for black people? (31:51) Sega Genesis Super Nintendo Entertainment System Sonic the Hedgehog series Michael Jackson Sonic 1 Music: Spring Yard Zone Michael Jackson's Moonwalker Comix Zone Sony PlayStation Microsoft Xbox Tekken series Street Fighter Alpha 3 Virtua Fighter series Sega Dreamcast Power Stone series ToeJam and Earl series LIGHTNING ROUND: Cookout (38:09) Recommendations and Outro (52:50): Vanessa: twitch.tv/pleasantlytwstd, Relooted Ash: Review the games you like Pro_Kesadia: twitch.tv/pro_kesadia, Romeo Is A Dead Man Topher: topherflorence.bsky.social, make some bundt bread This week's Insert Credit Show is brought to you by Brenton Woodrow's Marathon and patrons like you. Thank you. Subscribe: RSS, YouTube, Apple Podcasts, Spotify, and more!

Ash Parrish hosts the blackest episode of Insert Credit yet, with an all-star panel of former guests and contributors. Hosted by Ash Parrish, with Topher Florence, Vanessa B, and Pro Kesadia. Edited by Esper Quinn, original music by Kurt Feldman. Watch episodes with full video on YouTube Discuss this episode in the Insert Credit Forums SHOW NOTES: “My brothers and sisters of the United States of America, tonight we, the free people of the resistance, ask you to become one of us” Curling Funky Kong Figure Skating Sonic Adventure Balatro Snowboarding 1: Is there still a place for live service games right now? (05:01) Highguard Overwatch Overwatch 2 drops the 2 and goes back to being Overwatch Highguard Is Yet Another Symptom – And Victim – Of A Rapidly Decaying Internet Marvel Rivals Helldivers II 2XKO Riot Spent A Decade Developing A Fighting Game Then Laid Off Around 80 Developers Less Than One Month After Release Fortnite Disney Speedstorm Concord Emma Frost Cloak and Dagger Taskmaster Runaways Silk Anya Corazon League of Legends Arcane Killmonger Cut 2: Who should be the next Nintendo character to get hit with the baby ray? (13:46) Mario Tennis Aces Baby Waluigi Baby Wario Babality Baby Rosalina Mario Kart World Toad Yoshi Bowser Jr. Bowser Pauline Donkey Kong Bananza Samus Link Ganondorf E. Honda Dr. Mario Space Warlord Baby Trading Simulator 3: If you were taking up the mantle of MF Doom, what cartoons would you use in your skits? (17:42) MF Doom Johnny Quest Fantastic Four Static Shock The Pirates of Dark Water Mummies Alive! Reboot Transformers: Beast Wars Cheetor Dinobot Optimus Primal Silverbolt 4: Who is the “I would have voted for Obama for a third time” of video games? (20:51) Ken Levine BioShock Abbott Elementary Jacob Neil Druckmann Geoff Keighley Todd Howard The Elder Scrolls V: Skyrim Wolfenstein II: The New Colossus Grace Walker Super Spesh Insert Credit Quick Break: Brenton Woodrow's Marathon (25:35) 5: Alex Jaffe asks, which 21st century video games would be best for a 1980's DiC-style cartoon? (26:52) DIC Entertainment The Super Mario Bros. Super Show! Captain N: The Game Master Splatoon SpongeBob SquarePants Kirby Kirby: Right Back at Ya! King Dedede Avatar: the Last Airbender Among Us Among Us Show Elijah Wood Minions Castle Crashers Alien Hominid 6: Brandon Sheffield asks, why is the Sega Genesis for black people? (31:51) Sega Genesis Super Nintendo Entertainment System Sonic the Hedgehog series Michael Jackson Sonic 1 Music: Spring Yard Zone Michael Jackson's Moonwalker Comix Zone Sony PlayStation Microsoft Xbox Tekken series Street Fighter Alpha 3 Virtua Fighter series Sega Dreamcast Power Stone series ToeJam and Earl series LIGHTNING ROUND: Cookout (38:09) Recommendations and Outro (52:50): Vanessa: twitch.tv/pleasantlytwstd, Relooted Ash: Review the games you like Pro_Kesadia: twitch.tv/pro_kesadia, Romeo Is A Dead Man Topher: topherflorence.bsky.social, make some bundt bread This week's Insert Credit Show is brought to you by Brenton Woodrow's Marathon and patrons like you. Thank you. Subscribe: RSS, YouTube, Apple Podcasts, Spotify, and more!

Giga Bytes Podcast 396: Hoy hablamos de anuncios de God of War, reviews y mucho Mas Tokyo Game Show 2026 sept 17-21 30 aniversario COD Warzone Mobile Cierra abril 17 Super Bomberman Collection review God of War Sons of Sparta Review High on Life 2 review State of Play: lo mejor Wildlight Entertainment despide gran parte de su equipo luego del lanzamiento de Highguard DICE: Kojima tuvo varias discusiones con Vince Zampella para hacer un Metal Gear 1st person Horizon Hunter Gathering anunciado para PS5 y PC Epic Games Store estará en próximo hardware a menos que MS cambie su plan, full Windows 11 Explico los números reales: Take 2: 138 millones de consolas Gen 9 hasta Dic 31 2025 (estimado) Switch 2: 17.37m PS5: 92.2 m Xbox Series X/S (Estimados): 28.08 m   Sigueme y Suscribete: Facebook.com/elgiga Youtube.com/elgiga947 Instagram.com/elgiga947                                                                                                                                    Twitch.tv/elgiga947 Twitter.com/elgiga947 Giga Bytes Podcast   #monsterenergypr @monsterenergy @Stephreyesmarketing @caribbeanxsports @eriberto213 #gigabytespodcast #PS5pro PS5 #PC #Xbox #Switch #gigabytespodcast

Happy February, Bunheads! Between the winter storm that ravaged the American Northeast to the 2026 Winter Olympics having just kicked off in Milano, this episode truly could NOT be more on the nose. The Olympics are only halfway through, and we've already got enough figure skating drama to write several books on (see the Ice Dance final results!).In this episode of SAILOR T, Devon & Beau discuss Episode 39 of Sailor Moon: "Paired with a Monster: Mako, the Ice Skating Queen" or "Ice Princess" in the DiC dub. Beau expounds greatly and passionately on his (albeit limited!) knowledge of the world of figure skating, breaking down the references made here in this episode and connects them to what we can concurrently expect to see in these 2026 Olympic Games as they are happening!Stay warm and stay safe, Bunheads. Happy Skating!Follow us on social media, Bunheads!Sailor T insta

Giga Bytes Podcast 395: Hoy hablamos de GTA 6, numeros de PS y Nintendo, próximo Xbox y mucho Mas Horizon Hunter Gathering anunciado para PS5 y PC Nioh 3 review Nintendo Direct Partner Showcase Reporte 3QTR 2025 PS5 (Oct-Dic 2025) 2 millones de PS5 MAU aumenta a record 132m $914 en ingresos para la division (operating income) 8 millones de unidades en el QTR Ghost of Yotei vendiendo mejor que Tsushima en el mismo periodo Aseguran RAM para próximo año fiscal 2026 (PS5), negociando para el futuro Strauss Zelnick confiado en lanzamiento de GTA 6 este noviembre 19 2026, publicidad comienza en verano (copias físicas no se atrasarán) Take 2: 138 millones de consolas Gen 9 hasta Dic 31 2025 (estimado) Switch 2: 17.37m PS5: 92.2 m Xbox Series X/S (Estimados): 28.08 m AMD CEO Lisa Su: Steam Machine para principios 2026, Next Xbox podría lanzar 2027 Tekken 8 S3: Kunimitsu (Primavera), Bob (Verano), Jack Jr (otoño) y otro personaje secreto, rank reset y mas Adelantan Knight of the Seven Kingdom e Industry por Superbowl Reporte Financiero Nintendo acabando dic 31 2025: Switch 2 17.37 millones vendidos Switch 155.37m (2nda mas vendida en la historia) Ventas aumentan 99% Mario Kart World 14.03m Donkey Kong Bananza 4.25m Pokemon Z to A 3.89m Kirby Air Riders 1.76m Stranger Things Tales from '85 teaser Michael Teaser Rumor: PS Portal OLED en camino Encuesta GDC: 2025 vs 2026 Highguard fracasa God of War Prime video: se agranda el elenco de la serie Ryan Hurst (Sons of Anarchy) Cast como Kratos Mandy Patinkin (Homeland) Cast como Odin Ólafur Darri Ólafsson (Severance) como Thor Max Parker (Boots) como Heimdall Teresa Palmer (Warm Bodies) posiblemente como Phoebe/Sif Alastair Duncan (Mimir en GOW) como Mimir Jeff Gulka (X-Files, Stargate SG-1) como Sindri Danny Woodburn (Seinfeld, The Witcher) como Brok PSN Febrero: Undisputed Subnautica Below Zero Ultros Ace Combat 7: Skies Unknown Xbox Dev Direct: Forza Horizon 6 Beast of Reincarnation Kiln Fable Marathon Marzo 5, tendrá open beta antes de su lanzamiento   Sigueme y Suscribete: Facebook.com/elgiga Youtube.com/elgiga947 Instagram.com/elgiga947                                                                                                                                    Twitch.tv/elgiga947 Twitter.com/elgiga947 Giga Bytes Podcast   #monsterenergypr @monsterenergy @Stephreyesmarketing @caribbeanxsports @eriberto213 #gigabytespodcast #PS5pro PS5 #PC #Xbox #Switch #gigabytespodcast #2026

 1 And it came to pass, that on one of the days, as he was teaching the people in the temple, and preaching the gospel, the chief priests and the scribes, with the ancients, met together,Et factum est in una dierum, docente illo populum in templo, et evangelizante, convenerunt principes sacerdotum, et scribae cum senioribus, 2 And spoke to him, saying: Tell us, by what authority dost thou these things? or, Who is he that hath given thee this authority?et aiunt dicentes ad illum : Dic nobis in qua potestate haec facis? aut quis est qui dedit tibi hanc potestatem? 3 And Jesus answering, said to them: I will also ask you one thing. Answer me:Respondens autem Jesus, dixit ad illos : Interrogabo vos et ego unum verbum. Respondete mihi : 4 The baptism of John, was it from heaven, or of men?baptismus Joannis de caelo erat, an ex hominibus? 5 But they thought within themselves, saying: If we shall say, From heaven: he will say: Why then did you not believe him?At illi cogitabant intra se, dicentes : Quia si dixerimus : De caelo, dicet : Quare ergo non credidistis illi? 6 But if we say, Of men, the whole people will stone us: for they are persuaded that John was a prophet.Si autem dixerimus : Ex hominibus, plebs universa lapidabit nos : certi sunt enim Joannem prophetam esse. 7 And they answered, that they knew not whence it was.Et responderunt se nescire unde esset. 8 And Jesus said to them: Neither do I tell thee by what authority I do these things.Et Jesus ait illis : Neque ego dico vobis in qua potestate haec facio. 9 And he began to speak to the people this parable: A certain man planted a vineyard, and let it out to husbandmen: and he was abroad for a long time.Coepit autem dicere ad plebem parabolam hanc : Homo plantavit vineam, et locavit eam colonis : et ipse peregre fuit multis temporibus. 10 And at the season he sent a servant to the husbandmen, that they should give him of the fruit of the vineyard. Who, beating him, sent him away empty.Et in tempore misit ad cultores servum, ut de fructu vineae darent illi. Qui caesum dimiserunt eum inanem. 11 And again he sent another servant. But they beat him also, and treating him reproachfully, sent him away empty.Et addidit alterum servum mittere. Illi autem hunc quoque caedentes, et afficientes contumelia, dimiserunt inanem. 12 And again he sent the third: and they wounded him also, and cast him out.Et addidit tertium mittere : qui et illum vulnerantes ejecerunt. 13 Then the lord of the vineyard said: What shall I do? I will send my beloved son: it may be, when they see him, they will reverence him.Dixit autem dominus vineae : Quid faciam? Mittam filium meum dilectum : forsitan, cum hunc viderint, verebuntur. 14 Whom when the husbandmen saw, they thought within themselves, saying: This is the heir, let us kill him, that the inheritance may be ours.Quem cum vidissent coloni, cogitaverunt intra se, dicentes : Hic est haeres, occidamus illum, ut nostra fiat haereditas. 15 So casting him out of the vineyard, they killed him. What therefore will the lord of the vineyard do to them?Et ejectum illum extra vineam, occiderunt. Quid ergo faciet illis dominus vineae? 16 He will come, and will destroy these husbandmen, and will give the vineyard to others. Which they hearing, said to him: God forbid.veniet, et perdet colonos istos, et dabit vineam aliis. Quo audito, dixerunt illi : Absit.St Blaise, bishop of Sebaste, was beheaded after terrible torments, under Licinius, A.D. 317.

Tracy St. Dic, Global Head of Talent at Zapier, discusses how her background in the arts and education influenced her approach to leading teams. She unpacks how each chapter was driven by a desire to make a bigger impact. James and Tracy also talk about what it was like to run a large TA team for Teach For America.   Thank you to our sponsor, SecureVision, for making this show possible! Follow us:https://www.linkedin.com/company/82436841/SecureVision: #1 Rated Embedded Recruitment Firm on G2!https://www.g2.com/products/securevision/reviewsThanks for listening!

 3.And when he was sitting on mount Olivet, the disciples came to him privately, saying: Tell us when shall these things be? and what shall be the sign of thy coming, and of the consummation of the world?Sedente autem eo super montem Oliveti, accesserunt ad eum discipuli secreto, dicentes : Dic nobis, quando haec erunt? et quod signum adventus tui, et consummationis saeculi? 4 And Jesus answering, said to them: Take heed that no man seduce you:Et respondens Jesus, dixit eis : Videte ne quis vos seducat : 5 For many will come in my name saying, I am Christ: and they will seduce many.multi enim venient in nomine meo, dicentes : Ego sum Christus : et multos seducent. 6 And you shall hear of wars and rumours of wars. See that ye be not troubled. For these things must come to pass, but the end is not yet.Audituri enim estis praelia, et opiniones praeliorum. Videte ne turbemini : oportet enim haec fieri, sed nondum est finis : 7 For nation shall rise against nation, and kingdom against kingdom; and there shall be pestilences, and famines, and earthquakes in places:consurget enim gens in gentem, et regnum in regnum, et erunt pestilentiae, et fames, et terraemotus per loca : 8 Now all these are the beginnings of sorrows.haec autem omnia initia sunt dolorum. 9 Then shall they deliver you up to be afflicted, and shall put you to death: and you shall be hated by all nations for my name's sake.Tunc tradent vos in tribulationem, et occident vos : et eritis odio omnibus gentibus propter nomen meum. 10 And then shall many be scandalized: and shall betray one another: and shall hate one another.Et tunc scandalizabuntur multi, et invicem tradent, et odio habebunt invicem. 11 And many false prophets shall rise, and shall seduce many.Et multi pseudoprophetae surgent, et seducent multos. 12 And because iniquity hath abounded, the charity of many shall grow cold.Et quoniam abundavit iniquitas, refrigescet caritas multorum : 13 But he that shall persevere to the end, he shall be saved.qui autem perseveraverit usque in finem, hic salvus erit.The Persion nobles Marius and Martha came with their sons Audifax and Abachum to Rome, to visit the tombs of the Apostles Ss Peter and Paul. They were cast into prison, tortured and martyred A.D. 270.

2026 is here, Bunheads, and we've managed to get through the holiday season (albeit not without a trip or two to the ER). This episode, Devon & Beau catch up on end of year happenings, Heated Rivalry's emergence as a "must-watch", and recap episode 38 of Sailor Moon: "The Snow, the Mountains, Friendship and Monsters" or "Ski Sunny Blues" in the DiC dub.We descend upon this winter sports multi-episode era of the series auspiciously as the 2026 Winter Olympics loom largely just a few weeks ahead of us. Luckily, Beau feels both confident AND under-qualified to guide you through the parallels. And as it should be!From one snow bunny to another, enjoy! Happy January!Follow us on social media, Bunheads!Sailor T insta

Episode 210: Heat Stroke BasicsWritten by Jacob Dunn, MS4, American University of the Caribbean. Edits and comments by Hector Arreaza, MD.You are listening to Rio Bravo qWeek Podcast, your weekly dose of knowledge brought to you by the Rio Bravo Family Medicine Residency Program from Bakersfield, California, a UCLA-affiliated program sponsored by Clinica Sierra Vista, Let Us Be Your Healthcare Home. This podcast was created for educational purposes only. Visit your primary care provider for additional medical advice. Definition:Heat stroke represents the most severe form of heat-related illness, characterized by a core body temperature exceeding 40°C (104°F) accompanied by central nervous system (CNS) dysfunction. Arreaza: Key element is the body temperature and altered mental status. Jacob: This life-threatening condition arises from the body's failure to dissipate heat effectively, often in the context of excessive environmental heat load or strenuous physical activity. Arreaza: You mentioned, it is a spectrum. What is the difference between heat exhaustion and heat stroke? Jacob: Unlike milder heat illnesses such as heat exhaustion, heat stroke involves multisystem organ dysfunction driven by direct thermal injury, systemic inflammation, and cytokine release. You can think of it as the body's thermostat breaking under extreme stress — leading to rapid, cascading failures if not addressed immediately. Arreaza: Tell us what you found out about the pathophysiology of heat stroke?Jacob: Pathophysiology: Under normal conditions, the body keeps its core temperature tightly controlled through sweating, vasodilation of skin blood vessels, and behavioral responses like seeking shade or drinking water. But in extreme heat or prolonged exertion, those mechanisms get overwhelmed.Once core temperature rises above about 40°C (104°F), the hypothalamus—the brain's thermostat—can't keep up. The body shifts from controlled thermoregulation to uncontrolled, passive heating. Heat stroke isn't just someone getting too hot—it's a full-blown failure of the body's heat-regulating system. Arreaza: So, it's interesting. the cell functions get affected at this point, several dangerous processes start happening at the same time.Jacob: Yes: Cellular Heat InjuryHigh temperatures disrupt proteins, enzymes, and cell membranes. Mitochondria start to fail, ATP production drops, and cells become leaky. This leads to direct tissue injury in vital organs like the brain, liver, kidneys, and heart.Arreaza: Yikes. Cytokines play a big role in the pathophysiology of heat stroke too. Jacob: Systemic Inflammatory ResponseHeat damages the gut barrier, allowing endotoxins to enter the bloodstream. This triggers a massive cytokine release—similar to sepsis. The result is widespread inflammation, endothelial injury, and microvascular collapse.Arreaza: What other systems are affected?Coagulation AbnormalitiesEndothelial damage activates the clotting cascade. Patients may develop a DIC-like picture: microthrombi forming in some areas while clotting factors get consumed in others. This contributes to organ dysfunction and bleeding.Circulatory CollapseAs the body shunts blood to the skin for cooling, perfusion to vital organs drops. Combine that with dehydration from sweating and fluid loss, and you get hypotension, decreased cardiac output, and worsening ischemia.Arreaza: And one of the key features is neurologic dysfunction.Jacob: Neurologic DysfunctionThe brain is extremely sensitive to heat. Encephalopathy, confusion, seizures, and coma occur because neurons malfunction at high temperatures. This is why altered mental status is the hallmark of true heat stroke.Arreaza: Cell injury, inflammation, coagulopathy, circulatory collapse and neurologic dysfunction. Jacob: Ultimately, heat stroke is a multisystem catastrophic event—a combination of thermal injury, inflammatory storm, coagulopathy, and circulatory collapse. Without rapid cooling and aggressive supportive care, these processes spiral into irreversible organ failure.Background and Types:Arreaza: Heat stroke is part of a spectrum of heat-related disorders—it is a true medical emergency. Mortality rate reaches 30%, even with optimal treatment. This mortality correlates directly with the duration of core hyperthermia. I'm reminded of the first time I heard about heat stroke in a baby who was left inside a car in the summer 2005. Jacob: There are two primary types: -nonexertional (classic) heat stroke, which develops insidiously over days and predominantly affects vulnerable populations like children, the elderly, and those with chronic illnesses during heat waves; -exertional heat stroke, which strikes rapidly in young, otherwise healthy individuals, often during intense exercise in hot, humid conditions. Arreaza: In our community, farm workers are especially at risk of heat stroke, but any person living in the Central Valley is basically at risk.Jacob: Risk factors amplify vulnerability across both types, including dehydration, cardiovascular disease, medications that impair sweating (e.g., anticholinergics), and acclimatization deficits. Notably, anhidrosis (lack of sweating) is common but not required for diagnosis. Hot, dry skin can signal the shift from heat exhaustion to stroke. Arreaza: What other conditions look like heat stroke?Differential Diagnosis:Jacob: Presenting with altered mental status and hyperthermia, heat stroke demands a broad differential to avoid missing mimics. -Environmental: heat exhaustion, syncope, or cramps. -Infectious etiologies like sepsis or meningitis must be ruled out. -Endocrine emergencies such as thyroid storm, pheochromocytoma, or diabetic ketoacidosis (DKA) can overlap. -Neurologic insults include cerebrovascular accident (CVA), hypothalamic lesions (bleeding or infarct), or status epilepticus. -Toxicologic culprits are plentiful—sympathomimetic or anticholinergic toxidromes, salicylate poisoning, serotonin syndrome, malignant hyperthermia, neuroleptic malignant syndrome (NMS), or even alcohol/benzodiazepine withdrawal. When it comes to differentials, it is always best to cast a wide net and think about what we could be missing if this is not heat stroke. Arreaza: Let's say we have a patient with hyperthermia and we have to assess him in the ER. What should we do to diagnose it?Jacob: Workup:Diagnosis is primarily clinical, hinging on documented hyperthermia (>40°C) plus CNS changes (e.g., confusion, delirium, seizures, coma) in a hot environment. Arreaza: No single lab confirms it, but targeted testing allows us to detect complications and rule out alternative diagnosis. Jacob: -Start with ECG to assess for dysrhythmias or ischemic changes (sinus tachycardia is classic; ST depressions or T-wave inversions may hint at myocardial strain). -Labs include complete blood count (CBC), comprehensive metabolic panel (electrolytes, renal function, liver enzymes), glucose, arterial blood gas, lactate (elevated in shock), coagulation studies (for disseminated intravascular coagulation, or DIC), creatine kinase (CK) and myoglobin (for rhabdomyolysis), and urinalysis. Toxicology screen if history suggests. Arreaza: I can imagine doing all this while trying to cool down the patient. What about imaging?-Imaging: chest X-ray for pulmonary issues, non-contrast head CT if neurologic concerns suggest edema or bleed (consider lumbar puncture if infection suspected). It is important to note that continuous core temperature monitoring—via rectal, esophageal, or bladder probe—is essential, not just peripheral skin checks. Arreaza: TreatmentManagement:Time is tissue here—initiate cooling en route, if possible, as delays skyrocket morbidity. ABCs first: secure airway (intubate if needed, favoring rocuronium over succinylcholine to avoid hyperkalemia risk), support breathing, and stabilize circulation. -Remove the patient from the heat source, strip clothing, and launch aggressive cooling to target 38-39°C (102-102°F) before halting to prevent rebound hypothermia. -For exertional cases, ice-water immersion reigns supreme—it's the fastest method, with immersion in cold water resulting in near-100% survival if started within 30 minutes. -Nonexertional benefits from evaporative cooling: mist with tepid water (15-25°C) plus fans for convective airflow. -Adjuncts include ice packs to neck, axillae, and groin; -room-temperature IV fluids (avoid cold initially to prevent shivering); -refractory cases, invasive options like peritoneal lavage, endovascular cooling catheters, or even ECMO. -Fluid resuscitation with lactated Ringer's or normal saline (250-500 mL boluses) protects kidneys and counters rhabdomyolysis—aim for urine output of 2-3 mL/kg/hour. Arreaza: What about medications?Jacob: Benzodiazepines (e.g., lorazepam) control agitation, seizures, or shivering; propofol or fentanyl if intubated. Avoid antipyretics like acetaminophen. For intubation, etomidate or ketamine as induction agents. Hypotension often resolves with cooling and fluids; if not, use dopamine or dobutamine over norepinephrine to avoid vasoconstriction. Jacob: What IV fluid is recommended/best for patients with heat stroke?Both lactated Ringer's solution and normal saline are recommended as initial IV fluids for rehydration, but balanced crystalloids such as LR are increasingly favored due to their lower risk of hyperchloremic metabolic acidosis and AKI. However, direct evidence comparing the two specifically in the setting of heat stroke is limited. Arreaza: Are cold IV fluids better/preferred over room temperature fluids?Cold IV fluids are recommended as an adjunctive therapy to help lower core temperature in heat stroke, but they should not delay or replace primary cooling methods such as cold-water immersion. Cold IV fluids can decrease core temperature more rapidly than room temperature fluids. For example, 30mL/kg bolus of chilled isotonic fluids at 4 degrees Celsius over 30 minutes can decrease core temperature by about 1 degree Celsius, compared to 0.5 degree Celsius with room temperature fluids. Arreaza: Getting cold IV sounds uncomfortable but necessary for those patients. Our favorite topic.Screening and Prevention:-Heat stroke prevention focuses on public health and individual awareness rather than routine testing. -High-risk groups—elderly, children, athletes, laborers, or those on impairing meds—should acclimatize gradually (7-14 days), hydrate preemptively (electrolyte solutions over plain water), and monitor temperature in exertional settings. -Communities during heat waves need cooling centers and alerts. -For clinicians, educate patients with CVD or obesity about early signs like dizziness or nausea. -No formal "screening" exists, but vigilance in EDs during summer surges saves lives. -Arreaza: I think awareness is a key element in prevention, so education of the public through traditional media like TV, and even social media can contribute to the prevention of this catastrophic condition.Jacob: Ya so heat stroke is something that should be on every physician's radar in the central valley especially in the summer time given the hot temperatures. Rapid recognition is key. Arreaza: Thanks, Jacob for this topic, and until next time, this is Dr. Arreaza, signing off.Even without trying, every night you go to bed a little wiser. Thanks for listening to Rio Bravo qWeek Podcast. We want to hear from you, send us an email at RioBravoqWeek@clinicasierravista.org, or visit our website riobravofmrp.org/qweek. See you next week! References:Gaudio FG, Grissom CK. Cooling Methods in Heat Stroke. J Emerg Med. 2016 Apr;50(4):607-16. doi: 10.1016/j.jemermed.2015.09.014. Epub 2015 Oct 31. PMID: 26525947. https://pubmed.ncbi.nlm.nih.gov/26525947/.Platt, M. A., & LoVecchio, F. (n.d.). Nonexertional classic heat stroke in adults. In UpToDate. Retrieved September 7, 2025, from https://www.uptodate.com/contents/nonexertional-classic-heat-stroke-in-adults. (Key addition: Emphasizes insidious onset in at-risk populations and the role of urban heat islands in exacerbating classic cases.) Heat Stroke. WikEM. Retrieved December 3, 2025, from https://wikem.org/wiki/Heat_stroke. (Key additions: Details on cooling rates for immersion therapy, confirmation that anhidrosis is not diagnostic, and fluid titration to urine output for rhabdomyolysis prevention.)Theme song, Works All The Time by Dominik Schwarzer, YouTube ID: CUBDNERZU8HXUHBS, purchased from https://www.premiumbeat.com/. 

Cosa Publica 2.0 - Ma. 30 Dic 2025 #hoy en #CosaPública2.0 con Rubén Martín y Jesús Estrada; 1. Transporte público 2. Mario Córdova España, representante UdeG ante CTT 3. Guerra informal + Desaparecidos 4. Venezuela + Globales Conducción y producción por: Rubén Martín: https://x.com/rmartinmar Jesús Estrada: https://x.com/jestradax Asistencia de producción y realización: Alejandro Coronado: https://x.com/SoyelCoronado Operador de audio: Emanuel Candelas

Seminaristas en misión encarnan la llamada divina como fuego que se expande, llevando la luz de la fe a los rincones olvidados del mundo, donde cada encuentro se convierte en semilla de esperanza y cada servicio en eco de amor incondicional. En el fragor de la cotidianidad, sus pasos tejen puentes entre lo eterno y […] L'articolo Seminaristas en Misión – Sábado 06 Dic 2025 proviene da Radio Maria.

El celibato sacerdotal se presenta como un don de libertad radical, un compromiso que libera el alma para una unión exclusiva con Cristo y su pueblo, transformando la renuncia en un manantial de gracia que nutre la vida espiritual en medio de las tormentas del mundo. En esta elección de amor indiviso, las pruebas se […] L'articolo El celibato sacerdotal  – Sábado 13 Dic 2025 proviene da Radio Maria.

Las vocaciones tardías irrumpen como un amanecer inesperado en la madurez del alma, donde el susurro divino se filtra a través de los surcos de la experiencia vivida, transformando años de búsqueda en un sí rotundo y luminoso que redefine el propósito eterno. En este llamado postergado, las dudas se convierten en sabiduría forjada por […] L'articolo Vocaciones tardías  – Sábado 20 Dic 2025 proviene da Radio Maria.

 Celebramos el día de la Inmaculada Concepción de María profundizando en la historia de nuestra Madre como mujer. ¿Qué significa este dogma para los jóvenes de hoy en día? L'articolo Armando Lio – Domingo 07 Dic 2025 proviene da Radio Maria.

La alegría es la protagonista de este domingo. ¿Dónde está la verdadera alegría? ¿Cuál es tu mayor gozo? L'articolo Armando Lio – Domingo 14 Dic 2025 proviene da Radio Maria.

¿Eres consciente de la importancia que tienen tus decisiones? ¿Sabes que hay UNO que se ha fijado especialmente en ti y te ama con locura? L'articolo Armando Lio – Domingo 21 Dic 2025 proviene da Radio Maria.

The GIJOE Holiday Special was produced by Joe Slepski and Ted Jacobson Written by Joe Slepski Musical Segments produced by Ted Jacobson All GIJOE characters are owned by Hasbro and celebrity voices were impersonated. Except Santa Claus. He's very real. This is a loving tribute to our favorite afterschool cartoon, filtered through the legendary Star Wars Holiday Special and an absolute joy to put together due to the incredible talents of our cast. Derrick LeMont (Alpine) is a super talented actor and delight to work with, based out of Los Angeles. You've seen him on Black Lightning and the TV series Them! Check out his IMDB page and follow him! Rammel Chan (Quick Kick) is one of my great creative friends, who took time from his busy stage and screen career (Chicago Med, Somebody Somewhere, I Used to Go Here) to lend us his brilliance. Watch his IMDB page for some exciting new ventures! Joe Goltz (Bazooka) is a longtime creative partner of mine, friend and more importantly, an amazing Trombone player in the Youngblood Brass Band. If you don't know them, educate yourself and thank me later. Paul Galliano (Firefly) Paul is an actor that always delivers, a major GIJOE friend and more importantly a great friend of mine. One of the nicest, most talented people you'll ever know, give him a follow and a Yo Joe! Mark Silgalis (Major Bludd) has been a friend of mine since High School! He played Bludd in our Cold Slither episode and absolutely showed up with his performance here! Bulldogs for life! Phil Morris (Mr. T) Phil Morris is a Hollywood staple. You've seen him on Knight Rider, Star Trek, Mission: Impossible, Doom Patrol, he was Smallville's Martian Manhunter, and he is Seinfeld's Jackie Chiles! What a gentleman and friend, follow Phil and give him some GIJOE fan love. Doug Erholtz (Jackie Love) previously our Columbo, brought DIC's very own Jackie Love to life. Doug has voiced dozens of Anime and Video Game characters, from Street Fighter's Vega, Final Fantasy's Squall to the main Care Bear himself, Grumpy Bear. Find him at fan conventions and say hello from Joe on Joe! Mike Irrizzary (General Hawk) of the What's on Joe Mind Podcast once again returned as General Hawk and he's so good, we need to lobby Hasbro to cast him officially. Mike is a great friend and podcaster and you need to listen to What's on Joe Mind every week! Plug the show! Josh Eggebeen (Tiger Force Outback) Josh runs the After Action Report books and you won't find a more comprehensive look at the comic books of GIJOE than the AAR Books. Check them out! Colton Adams (Tollbooth) is a young actor making a big splash on stage and screen, as his growing IMDB page can attest to. He's such a bright light and I am insanely proud to see him following his dreams. John Pearson (Shipwreck) doesn't realize I'm going to be writing Shipwreck stories where he and Polly get into wacky adventures and Shipwreck learns life lessons. This talent is now in the fold! Josh D. King (Dee-Jay) is a multi-hyphenate talent. Not only is he a musical force, with songs on Spotify and Apple music, but has a new clothing brand, Incklined and a wonderfully successful children's book, I'm a Brilliant Little Black Boy. I was so happy he could join us, as I've been friends with his incredible father for many years now. Talent doesn't fall far from the tree! Our Satin and Weird Al musical segments were written and produced by Ted Jacobson! Wonderful writing brought to life by the vocal stylings of Chiquita Bakana as Satin, and the trio of Rocky Sams, Dimitry Karev & Micko D performing the Weird Al Polka Tribute. Ted has put together complete music videos to go with them on his BarkingFridge YouTube channel. Follow him and subscribe! Matt Plassman (Mainframe) is still tracking Santa, from writers rooms across Hollywood. An incredibly talented writer and continues to bring Mainframe to delightfully nerdy life. Monkees for life. Kevin Brennan (Wild Bill) Everything is bigger in Texas, but nothing bigger than the heart on Writer, Actor and Producer Kevin Brennan. Look for his hilarious movie, It's a Disaster on streamers everywhere. Chrisi Talyn Saje and Jeremy Saje (Cobra Newscasters) Chrisi is the force behind an amazing radio drama podcast, Madison On The Air. With Jeremy as producer, Madison travels through real life vintage radio dramas, bringing modern ridiculousness to vintage episodes. Give that show a listen and follow, they're wonderful friends. Lizzie Czerner (Mary Lou Retton) is just talent through and through. You've heard her before on our My Special Missions episode and she played Satin in our Cold Slither Behind the Rock. This time she brought the effervescent and iconic Mary Lou Retton to pre-recorded life. Brilliant! Rebekah Walendzak Slepski (Cover Girl) Toilet'eel herself brought our favorite Wolverine driver to life. Rebekah is as talented as she is lovely, sharp witted and the kindest sketch comedy instructor/union organizer/actress/writer/director you'll ever meet. None of this would happen without her, so blame her. And as always, I thank you listeners for your years of support, as we head into our 10th year of doing Joe on Joe! I appreciate you more than you'll ever know. And now you Joe, and Joeing is half the battle. Subscribe to the Joe on Joe Podcast! www.joeonjoe.com Apple Podcasts PodBean YouTube Help Support the Show thru Patreon! @JoeonJoepod on  Twitter Facebook Instagram Email Me Here!

Cosa Publica 2.0 - Ma. 23 Dic 2025 #hoy en #CosaPública2.0 con Rubén Martín y Jesús Estrada; 1. Entrevista Milton DLeón, editor de La Izquierda Diario Venezuela e integrante de la Liga de Trabajadores por el Socialismo Venezuela 2. Desaparecidos 3. Entrevista Mery, Coalición de Extrabajadoras (es) y Trabajadoras (es) de la Industria Electrónica Nacional (Cetien) 4. Represión + Megaproyectos Conducción y producción por: Rubén Martín: https://x.com/rmartinmar Jesús Estrada: https://x.com/jestradax Asistencia de producción y realización: Alejandro Coronado: https://x.com/SoyelCoronado Operador de audio: Emanuel Candelas

DC PODCAST 12 DIC 2025 See omnystudio.com/listener for privacy information.

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The holiday season is here, and we're taking a look back at some of our favorite podcast moments of the year.We hear from some of the TA leaders who have joined us in 2025: James Lafferty, Manjuri Sinha, James Footman, Jocelyn S. Lai, Lars Schmidt, Kobi Ampoma, Jonathan Beaney, Jamie Edwards, Tracy St. Dic, Jerome Leclerq, Tommy Hansen, Samantha Perlman, Karen Arnold and Anastasia Pshegodskaya.Discussion topics include:Human connections in hiringAuthenticity in employer brandingDefining quality of hireWhat makes a 5-star recruiter?We've got so many great guests lined up for the podcast next year. Make sure to subscribe so you don't miss out!

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Lugar Común - Ma. 02 Dic 2025 - Desde la @FILGuadalajara Hoy en #LugarComunRU con Diana y Meche Hoy en #lugarcomún tenemos al autor del libro Derrama el Vino Luis Medina Gutiérrez 104.3FM Hoy en #lugarcomún tenemos al autor del libro "Derrama el Vino" Luis Medina Gutiérrez 104.3FM pic.twitter.com/AinEhMkmhp— Radio Universidad de Guadalajara (@RadioUdeG) December 2, 2025

Toronto's pop-punk powerhouse The Mendozaz are set to unleash their most ambitious and hilarious work to date, the eight-song concept EP The Completely Fictional History of This Great Nation of Canada, out November 3 on Cartridge Heart. Fronted by guitarist-vocalist Jonny alongside Michael on vocals and bass and Dic on drums, The Mendozaz have carved their name into Toronto's punk scene with relentless touring, wild live shows, and anthems built for gang shouts, beer spills, and grinning through the chaos. They've long been known for wrapping sharp hooks in self-aware humor, but on this record they go bigger, faster, and louder, with a clear mission to turn every basement, bar, and festival stage into a frenzy. The EP is bookended by a pair of songs so preposterously profane that reinforcements were needed. Members of Joan Smith and the Jane Does and The Meringues were brought in to provide extra fuel for the f-bombs. All songs were written by The Mendozaz and recorded between This Place Needs A Name and Arc Recording Studio by Matt Gauthier (Handheld, Wasting Time), who also handled mixing and mastering. The result captures the reckless charm of their live show while pushing their storytelling and arrangements into sharper, stranger, and funnier territory. The accompanying video-single “A Piercing Shriek of Death” sets the tone perfectly. “This was the first song written for this record,” says Jonny. “It's based on a very-true Canadian legend that we made up about an expedition of ice fishers being eaten alive by a school of great white sharks near Hudson Bay. I had an old recording of an instrumental jam we did six or seven years ago that I really liked. I channeled my inner Serj and came up with something unlike anything we've ever done. When recording the demo our engineer almost fell out of his chair laughing during the blood curdling scream. He's okay (I think). I needed to be authentic while channeling the plight of the victims of this totally-legit horrible tragedy. Thoughts and prayers.” It's a mix of heavy riffs, absurd humor, and unflinching commitment that defines the EP as a whole.THE MENDOZAZ ONLINE INSTAGRAM | SPOTIFY | BANDCAMP | FACEBOOK | WEBSITE Checkout my YouTube Channel with long form interviews from the Subversives | the History of Lowest of the Low. https://www.youtube.com/playlist?list=PL9d1VSeOHYuxFWKuRdmn9j8UTW6AHwS_fAlso my Weekly Tour Vlog is up an live on the YouTubeshttps://www.youtube.com/playlist?list=PL9d1VSeOHYuwphwhc4zd0VgY66f1OUQZp Pledge monthly with Patreon https://www.patreon.com/apologueShop Apologue products at http://apologue.ca/shopCheck out new Four Square Here: https://distrokid.com/hyperfollow/foursquare/brighton-beach-ephttps://distrokid.com/hyperfollow/foursquare/seven-oh-sevenhttps://distrokid.com/hyperfollow/foursquare/industry-at-home–21st-anniversary-remix-remasteredhttps://distrokid.com/hyperfollow/foursquare/when-weeks-were-weekends

On this episode of Sailor T, Devon and Beau cover episode 36 of Sailor Moon: "Usagi's Confusion: Is Tuxedo Mask Evil?” - or "Bad Hair Day" for our DiC dub loyalists.We LOVED talking about this one. Let us know what you think about this one and our S.A.I.L.O.R. Score (!!!) on socials, Bunheads!Follow us on social media, Bunheads!Sailor T insta

Happy Belated Birthday to Minako Aino!

Welcome back to our weekend Cabral HouseCall shows! This is where we answer our community's wellness, weight loss, and anti-aging questions to help people get back on track! Check out today's questions:    Trish: Hi Dr. Cabral - I'm a 55-year-old female working on lowering overall inflammation in my body. My CRP levels are (4.1), ApoB (118 nmol/L and Lipoprotein (A) (281 nmol/L) as you can see are high. Total Cholesterol 221 and Triglycerides are 70. I have a lot of stiffness with joint discomfort. I started taking 2 Proteolytic Enzymes upon waking. Then your DNS, D3/k2, Cell Boost, Inflamma Soothe, Collagen with GLP Tone System and some of your other products (eye and hair). I follow your Med diet. My pain and stiffness have improved ALOT in a matter of days. I'm going to retest my CRP and chol levels in 4 months. My question is how long can I take Proteolytic Enzymes and in your opinion am I taking the proper protocol for these issues? I'm retesting in 4 mos. Thank you in advance          Sheena: Hi Dr Cabral! Hope you and all of your health family are well. I'm a surgical Processor and on my feet all day. I've tried all kinds of compression socks but by the end of the day, after taking it off, my leg are soo itchy! I scratch it sometimes so bad it starts to bleed. I'm only wearing the average 15-20 mmHG so its not too tight. I'm curious if you have a recommendation for compression socks that wont causes itching but is effective? Thanks in advance for answering!      Christina: Stephen, I have listened on one of your podcasts about Rheumatoid Arthritis and detoxing. My mother is in her early 70s and her fingers are twisting. I am 48 and recently the base of my thumbs have started bothering me. My question is, what detox protocol should my mother start with to prevent further twisting of her fingers and what detox protocol should I do to prevent this from happening to me? I would love to do the heavy metals and organic acid tests, but unfortunately I live in NY. Would my functional medicine doctor be able to order them for me? I have had HELLP, HUS, DIC, Guillian Barre, and Pulminary Edema in my pregnancy at 21. My son was delivered with no issues! At this time, we learned that I have ITTP. I have had IBS issues. Thank you, Christina                      Ryan: Hi dr cabral, Im a 29 year old male who has addisons disease, chronic post nasal drip, food intolerance's and teeth grinding a stool test confirmed klebsiella pneumonie overgrowth and blastocystis hominis as well as some yeast and fungus with no Bifidobacteria and Lactobacillus detected, I recently started the cbo protocol with citricidal drops im 7 days in untill i came across one of your videos where you mentioned you should go for the parasite first should i stop the cbo protocol and start the para support protocol and then continue the cbo after or just continue the cbo protocol Thank you for your time wishing you all the best ryan.                                                                                                                                     Kay: Hi Dr. Cabral, I I love your podcasts and look forward to them every week. Anyway, I was wondering if you could please explain how a traumatic event could spur the onset of a "dis-ease" such as asthma. My daughter's asthma began shortly after her father and I were separated and he moved out of state. According to her pediatrician at the time, she was "more prone to having asthma because she also had eczema." This was 2 decades ago, and now she's 31 and we know more about autoimmune issues. Although she continues to carry an inhaler with her, she hardly needs to use it anymore. What would you recommend for a more root cause approach to someone with her condition? Thank you.                                  Thank you for tuning into today's Cabral HouseCall and be sure to check back tomorrow where we answer more of our community's questions!    - - - Show Notes and Resources: StephenCabral.com/3466 - - - Get a FREE Copy of Dr. Cabral's Book: The Rain Barrel Effect - - - Join the Community & Get Your Questions Answered: CabralSupportGroup.com - - - Dr. Cabral's Most Popular At-Home Lab Tests: > Complete Minerals & Metals Test (Test for mineral imbalances & heavy metal toxicity) - - - > Complete Candida, Metabolic & Vitamins Test (Test for 75 biomarkers including yeast & bacterial gut overgrowth, as well as vitamin levels) - - - > Complete Stress, Mood & Metabolism Test (Discover your complete thyroid, adrenal, hormone, vitamin D & insulin levels) - - - > Complete Food Sensitivity Test (Find out your hidden food sensitivities) - - - > Complete Omega-3 & Inflammation Test (Discover your levels of inflammation related to your omega-6 to omega-3 levels) - - - Get Your Question Answered On An Upcoming HouseCall: StephenCabral.com/askcabral - - - Would You Take 30 Seconds To Rate & Review The Cabral Concept? The best way to help me spread our mission of true natural health is to pass on the good word, and I read and appreciate every review!