Podcasts about Ferocious

Stocks have positively roared back to new all-time highs after some initial market jitters at the start of the Iran war.Is such confident optimism warranted?Or is Wall Street irresponsibly discounting serious risks like the global oil price shock and rising bond yields?To find out, we're fortunate to welcome Cameron Dawson, Chief Investment Officer at NewEdge Wealth, back to the program today.Cameron assesses that stocks -- driven by the red-hot semiconductor sector -- are now so extremely overbought that the risk of a "ferocious" pullback is high and becoming increasingly more so.WORRIED ABOUT THE MARKET? SCHEDULE YOUR FREE PORTFOLIO REVIEW with Thoughtful Money's endorsed financial advisors at https://www.thoughtfulmoney.com#marketcorrection #aistocks #semiconductors _____________________________________________ Thoughtful Money LLC is a Registered Investment Advisor Promoter.We produce educational content geared for the individual investor. It's important to note that this content is NOT investment advice, individual or otherwise, nor should be construed as such.We recommend that most investors, especially if inexperienced, should consider benefiting from the direction and guidance of a qualified financial advisor registered with the U.S. Securities and Exchange Commission (SEC) or state securities regulators who can develop & implement a personalized financial plan based on a customer's unique goals, needs & risk tolerance.All the details on Thoughtful Money's relationship with the financial advisors it endorses, many of whom regularly appear on this program, can be found in the following documents. We highly recommend you review these documents as they cover the terms that will apply should you choose to work with one of these firms at any time after watching this video.Thoughtful Money Disclosure Document: https://thoughtfulmoney.com/wp-content/uploads/2023/12/Thoughtful-Money-Disclosure-Document-12.6.23.pdf?pid=227Thoughtful Money Agreement: https://thoughtfulmoney.com/wp-content/uploads/2024/11/Thoughtful-Money-Agreement-Agreement.docx?pid=227IMPORTANT NOTE: There are risks associated with investing in securities.Investing in stocks, bonds, exchange traded funds, mutual funds, money market funds, and other types of securities involve risk of loss. Loss of principal is possible. Some high risk investments may use leverage, which will accentuate gains & losses. Foreign investing involves special risks, including a greater volatility and political, economic and currency risks and differences in accounting methods.A security's or a firm's past investment performance is not a guarantee or predictor of future investment performance.Thoughtful Money and the Thoughtful Money logo are trademarks of Thoughtful Money LLC.Copyright © 2026 Thoughtful Money LLC. All rights reserved.

Today's poem is You believed only a girl born of dandelion can be ferocious by Purvi Shah.The Slowdown is your daily poetry ritual. In this episode, Maggie writes… “Poems are meant to live in the air, to be read aloud, but I also know that form follows function. I want to see the choices the poet made when crafting the piece. Is the poem in couplets, tercets, or sturdy quatrains? Is it in one unbroken stanza with no white space? When I read a poem, knowing that form has the opportunity to enact, or at least reinforce, the content, I learn from the poet's choices. The stanza shape and length is an opportunity to embody something in the poem, so what did the poet go with? Maybe they chose couplets for a poem about two lovers or a parent and child. Or a prose poem for a piece that is more narrative and casually spoken. Or maybe the poem “explodes” across the field of the page, fragmented and uncontained.” This show is supported by gifts from listeners. Support The Slowdown with a donation and get access to the sponsor-free version of The Slowdown today. Slowdownshow.org/donate

A major fire to limit fuel production at one of Australia's last two oil refineries; Harry and Meghan meet with fans in Melbourne on their not so royal tour; FIFA says Iran will play in the World Cup this year.

AP's Lisa Dwyer reports on a major Typhoon threatening remote U.S. Islands.

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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

In this heartfelt and powerful conversation, I sit down with Sandra Bargman to explore what it truly means to live with ferocious compassion—a practice of honoring our truth without abandoning kindness. Together, we dive into the lifelong journey of recognizing where we've been hiding behind masks, how suppressed anger can actually guide us back to ourselves, and why people-pleasing often disconnects us from our inner truth. Sandra shares her own deeply personal stories and insights, inviting us to embrace both our softness and our strength, and to stand firmly in who we are—even when it feels uncomfortable. This episode is a beautiful reminder that coming home to yourself begins with awareness, courage, and the willingness to choose authenticity over approval.About Sandra BergmanSANDRA BARGMAN has been described as a walking Venn Diagram. She is a 35+ year professional actor, singer, voice artist, (AEA/SAG/AFTRA), Broadway Nationals, Off-B-way, Regional, Summer Stock), a seminary trained and ordained Inter-spiritual minister, award winning ritual designer and spiritual counselor, and a Voice, Storytelling and Presence Teacher - the overlapping center of these concurrent paths being the ancient Greek maxim “Know Thyself”.She is a contributing author to the #1 best-selling book, On the Shoulders of Mighty Women by Lesley Michaels, with her chapter, Anger and the Reluctant Leader. She is a contributing author to LOVE NOTES to the Soul 2.0: Stories of Compassion and Healing with her chapter, FEROCIOUS COMPASSION.Her solo show, The Edge of Everyday, performed in the renowned cabaret rooms of NYC, received rave reviews + garnered a Broadway World award nomination. The live CD recording can be found on Amazon and CD Baby.She is the host of the podcast, The Edge of Everyday, based on her solo show of the same name, streaming on all your favorite podcast platforms. Connect with Sandra BergmanEmail: revsandrabargman@gmail.comhttp://www.TheBIGApproach.comhttp://www.ThePlumTH2.comhttps://www.facebook.com/sandra.bargman/https://www.instagram.com/sandrabargman/?hl=enhttps://www.linkedin.com/in/sandrabargman/About Anita AdamsI'm Anita Adams, your host and the founder of Joyful Journey, an organization devoted to teaching The Wisdom Way—a practice that helps individuals reconnect with their authentic selves and create lives filled with meaning, well-being, and joy. In addition to hosting the Joyful Journey Podcast, I lead transformative retreats and workshops, and offer both group and one-on-one coaching. I'm also the bestselling author of Whispers of the Soul: A Guide to Clarity, Confidence, and Joy.If you have any questions, please reach. My contact information and ways to connect with me are below. And please subscribe for updates and consider leaving a review to help others discover this podcast. Thank you!Offerings by Anita: Coaching Services: https://www.joyfuljourney.ca/coaching Retreats: https://www.joyfuljourney.ca/retreats 30-Day Nature Challenge: https://www.joyfuljourney.ca/nature-challenge Whispers of the Soul: https://mybook.to/Whispersofthesoul Weekly newsletter: https://joyfulinspiredliving.myflodesk.com/joinConnect with Anita: Email - anita@joyfuljourney.caWebsite - https://www.joyfuljourney.ca/Instagram - https://www.instagram.com/joyful_journey_with_anita/Linkedin - https://www.linkedin.com/in/anitaadamsyvr/Facebook: https://www.facebook.com/anita.adams.904/Book a Discovery Call: https://calendly.com/anitaadams

Chaîne de Prem: https://www.youtube.com/@PremTimeComicsChaîne de Manga Saucisse: https://www.youtube.com/@mangasaucisseChaîne des Geek Fighters: https://www.youtube.com/@UCjthk0DKm1vm_rBSmmfvFkQ Chaîne Heavy Distorsion: https://www.youtube.com/@HeavyDistorsionFan film d'Adas https://youtu.be/QA2YY4tfJUo?si=Nn6xdQbtP9tlbO7PLa liste des articles d'HistoiresGeek: https://konatanekoyama.com/plume/histoiregeek/Instagram d'HistoiresGeek: https://www.instagram.com/histoiresgeek/Instagram de Damien: https://www.instagram.com/omnibusandstuff/TikTok de Damien: https://www.tiktok.com/@omnibusandstuff============================================Time Code 00:00 Générique + Intro 05:06 Absolute Green Lantern (Ewing, Lindsay, Urban Comics) par Adas23:12 Tour de table des lectures37:14 Star Wars: Shadow of Maul 1 (Percy, Musabekov, Marvel) par Adas1:01:10 Narco 1 (Wagner, Hillyard, Image Comics) par Prem1:12:12 Moonstar 1 (Allen, Audino, Marvel Comics) par HistoiresGeek 1:31:15 Exploit (Hudson, Leong, Pinna, Mad Cave) par Mindphobia 1:42:47 Stop ou Encore (DIE Loaded 5, Wrestle Heist 3, Astro Quantum 2, Beneath The Trees Where Nobody Sees Rites of Spring 6, The Nice House by the Sea 8, Batman - The Question - Green Arrow: Arcadia 3, Batgirl 17, Ferocious 4)2:16:52 Les Hérétiques (Morrison, Adlard, Delcourt) par Adas2:31:34 Le Fay (Metzger, Dupree, Ruiz, Edition Reflexions) par Prem2:42:27 The Junction (Norm Konyu, Glenat) par HistoiresGeek 2:59:13 Night Eaters tome 2 (Liu, Takeda, Delcourt) par Mindphobia 3:12:16 A venir sur nos réseaux + Générique =======================================Réseaux de la chaîneDiscord: https://discord.gg/6jWpVxPrnrSpotify: https://open.spotify.com/show/6ZwxEAU13PoVLua0JdIYJh?si=23eb9d545b224601Deezer: https://deezer.page.link/QynphwNFRNGQSG9d9Amazon Music: https://music.amazon.fr/podcasts/0964898a-c810-48ff-97ab-f0a6e9e66fa5/d'encre-et-de-bullesApple Podcast: https://podcasts.apple.com/fr/podcast/dencre-et-de-bulles/id1733018809Instagram de Mindphobia: https://www.instagram.com/mindphobia.comics/============================================#StarWars #DarthMaul #MarvelComics #ImageComics #DCComics #Batman #CharlieAdlard #Delcourt #UrbanComics #AbsoluteGreenLantern #Glenat #NormKonyu #Comics #BandeDessinée #BD #BandeDessinee #Podcast #DencreEtDeBulles Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this intimate and wide‑ranging conversation, musicians Dwight Ritcher and Nicole Nelson open up about the creative forces, personal histories, and emotional truths behind their new album. They reflect on apocalyptic imagery, artistic integrity, and the healing power of making music. Nicole shares how she finds beauty even in turbulent times, while Dwight reveals the quiet, meticulous process behind shaping songs from scraps of riffs and iPhone recordings. Together, they explore vulnerability, ferocity, grief, and joy, offering a look into the inner world of two artists determined to create on their own terms.Their new album is Day or Night.

Chaîne de ComicsPlay : https://youtube.com/@YTComicsPlayChaîne de Manga Saucisse: https://www.youtube.com/@mangasaucisseChaîne des Geek Fighters: https://www.youtube.com/@UCjthk0DKm1vm_rBSmmfvFkQ Chaîne Heavy Distorsion: https://www.youtube.com/@HeavyDistorsionFan film d'Adas https://youtu.be/QA2YY4tfJUo?si=Nn6xdQbtP9tlbO7PLa liste des articles d'HistoiresGeek: https://konatanekoyama.com/plume/histoiregeek/Instagram d'HistoiresGeek: https://www.instagram.com/histoiresgeek/Instagram de Damien: https://www.instagram.com/omnibusandstuff/TikTok de Damien: https://www.tiktok.com/@omnibusandstuff============================================Time Code 00:00 Générique + Intro10:36 Elric La Cité Qui Rêve (Thomas, Russel, Delirium)17:38 Radically Rearranged Ronin Ragdolls Adventures #100 (Avallone, Little, Image Comics) par Mindphobia 27:21 Astro Quantum (Fabra, Mutti, Mad Cave) par HistoiresGeek 38:38 Where Does the Rainbow End? (Perillo, Cardoselli, Mad Cave) par Omnibusandstuff 48:43 DC KO: Boss Battle (Adams, Collectif, DC Comics) par ComicsPlay 1:03:56 Stop ou Encore (Skinbreaker 3 à 5, The Guy in the Chair 4, Ferocious 2 & 3, Absolute Superman 16, Our Soot Stained Heart 2, Drawing Blood 10, Teenage Mutant Ninja Turtles 14, Ultimate Endgame 2)1:41:22 Fluff Fairyland Intégrale 1 (Young, Beans, Urban Comics) par Mindphobia 1:53:51 Crisis on Infinite Earths DC Paperback 1 (Wolfman + Collectif, Perez + Collectif, Urban Comics) par HistoiresGeek 2:22:34 Winter Road (Jeff Lemire, Futuropolis) par Omnibusandstuff 2:49:36 Superman Unlimited (Slott, Albuquerque, Urban Comics) par ComicsPlay 3:05:11 A venir sur nos réseaux + Générique =======================================Réseaux de la chaîneDiscord: https://discord.gg/6jWpVxPrnrSpotify: https://open.spotify.com/show/6ZwxEAU13PoVLua0JdIYJh?si=23eb9d545b224601Deezer: https://deezer.page.link/QynphwNFRNGQSG9d9Amazon Music: https://music.amazon.fr/podcasts/0964898a-c810-48ff-97ab-f0a6e9e66fa5/d'encre-et-de-bullesApple Podcast: https://podcasts.apple.com/fr/podcast/dencre-et-de-bulles/id1733018809Instagram de Mindphobia: https://www.instagram.com/mindphobia.comics/============================================#RadicallyRearrangedRoninRagdollsAdventures #DrawingBlood #DavidAvallone #TroyLittle #ImageComics #KevinEastman #AstroQuantum #ArturoFabra #AndreaMutti #ScienceFiction #SpaceOpera #MadCave #WhereDoesTheRainbowEnds #FrancescaPerillo #StefanoCardoselli #Robots #PostApocalypse #DCKO #DCKOBossBattle #JeremyAdams #CamineDiGiandomenico #RonanCliquet #KieraMcKeown #PabloMCollar #DC #Vampirella #RedSonja #SamanthaStrong #Annabelle #WhatTheFuck #FluffFairyland #Gertrude #SkottieYoung #BrettBeans #UrbanComics #CrisisOnInfiniteEarths #COIE #MarvWolfman #GeorgePerez #DCComics #WinterRoad #JeffLemire #Futuropolis #SupermanUnlimited #DanSlott #RafaelAlbuquerque #Superman #ClarkKent #Kryptonite #JonKent #LoisLane #Comics #BandeDessinée #BD #BandeDessinee #Podcast #DencreEtDeBulles Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

Chaîne de Lena : https://www.youtube.com/@LenainliveChaîne de Julien: https://www.youtube.com/@oldgeekmanChaîne de Manga Saucisse: https://www.youtube.com/@mangasaucisseChaîne des Geek Fighters: https://www.youtube.com/@UCjthk0DKm1vm_rBSmmfvFkQ Chaîne Heavy Distorsion: https://www.youtube.com/@HeavyDistorsionFan film d'Adas https://youtu.be/QA2YY4tfJUo?si=Nn6xdQbtP9tlbO7PLa liste des articles d'HistoiresGeek: https://konatanekoyama.com/plume/histoiregeek/Instagram d'HistoiresGeek: https://www.instagram.com/histoiresgeek/Instagram de Damien: https://www.instagram.com/omnibusandstuff/TikTok de Damien: https://www.tiktok.com/@omnibusandstuff============================================Time Code 00:00 Générique + Intro 20:53 Black Panther: Intergalactic 1 (LaValle, Nesi, Marvel) par Mind35:38 Ferocious 1 (Piotrowski, Ercolani, Mad Cave) par Omnibusandstuff 48:21 Thanksgiving (Russel, Maurice, Ahoy Comics) par Lena59:42 Ultimate Endgame 1 (Camp, Scharf, Dodson, Marvel) par Old Geek1:14:34 Stop ou Encore (Trinity Daughter of Wonder Woman 6, Red Book 3, Hyde Street Sisterhood 5, Assorted Crisis Events 7, Absolute Wonder Woman 15)1:42:14 Green Lantern: Origines Secrètes (Johns, Reis, Urban Comics) par Mindphobia 1:57:08 Daredevil Enfer Glacé (Soule, McNiven, Panini Comics) par Omnibusandstuff 2:12:00 Batman Ghosts of Gotham 2 (Taylor, Garbett, Janin, Urban Comics) par Lena2:23:29 Superman VS Wonder Woman (Conway, Garcia Lopez, Urban Comics) par Old Geek2:36:28 À venir sur nos réseaux + Générique =======================================Réseaux de la chaîneDiscord: https://discord.gg/6jWpVxPrnrSpotify: https://open.spotify.com/show/6ZwxEAU13PoVLua0JdIYJh?si=23eb9d545b224601Deezer: https://deezer.page.link/QynphwNFRNGQSG9d9Amazon Music: https://music.amazon.fr/podcasts/0964898a-c810-48ff-97ab-f0a6e9e66fa5/d'encre-et-de-bullesApple Podcast: https://podcasts.apple.com/fr/podcast/dencre-et-de-bulles/id1733018809Instagram de Mindphobia: https://www.instagram.com/mindphobia.comics/============================================#BlackPanther #BlackPantherIntergalactic #Marvel #Imperial #VictorLavalle #StefanoNesi #Tchalla #Shuri #Ferocious #MadCave #MadCaveStudios #LukePiotrowski #EmmanueleErcolani #Thanksgiving #AhoyComics #MarkRussel #AlainMauricet #Ultimate #UltimateEndgame #DenizCamp #JonasScharf #UltimateUniverse #StopOuEncore #GreenLantern #GreenLanternOriginesSecretes #Sinestro #HalHJordan #Atrocitus #Bleez #GeoffJohns #IvanReis #UrbanComics #Daredevil #DaredevilColdDayInHell #DaredevilEnferGlacé #CharlesSoule #SteveMcNiven #PaniniComicsFrance #Batman #DetectiveComics #GhostsOfGotham #BruceWayne #SupermanVSWonderWoman #ClarkKent #DianaPrince #Superman #WonderWoman #DEncreEtDeBulles #podcast #comics #bandedessinée #BD Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

What does it really look like to lead with both strength and care — to be ferocious and warm at the very same time? In this episode of Well-Led Schools, I'm joined by leadership expert, author and speaker Tracey Ezard for one of the most energising conversations I've had on this podcast. We dive deep into Tracey's signature concept of Ferocious Warmth — a framework built on the infinity loop, balancing head (results, strategy, cognitive reasoning) and heart (emotional intelligence, connection, empathy). The magic, Tracey explains, isn't choosing one over the other — it's reading the context in the moment and knowing how much of each you need to pour in. In this episode, we cover: The Ferocious Warmth framework — the infinity loop, the four core values (Expansive, Connected, Authentic, Courageous) and the three intelligences Why 'soft skills' and 'hard skills' is a distinction we need to blow out of the water The Culture Ladder — from Corrosion through to Committed Collaboration — and where most schools are sitting right now How to build true leadership team alignment through intellectual friction, not the suppression of it Why naming the system tension is the first step to navigating it without losing your school's identity Leadership wellbeing as a leadership behaviour — and what happens when leaders default to the 'fearsome' or the 'enmeshed' extremes Tracey's personal strategies for protecting energy, building her squad and refusing to use the word 'busy' About Tracey: Tracey Ezard is one of Australia's most sought-after leadership experts, authors and speakers, best known for her transformational concept of Ferocious Warmth — the art of leading with both the ferocity to drive transformation and the warmth to inspire and connect people. With over 20 years' experience working across education and health, Tracey has spent her career detecting patterns in high-performing cultures and translating them into practical, evidence-based frameworks. Her career began in Victoria's state education system, where she rose through to Assistant Principal before immersing herself in industry through the prestigious Teacher Release to Industry Program (TRIP) — an experience that became the cornerstone of her thinking around leadership, collaboration and professional cultures. She later spent time in the hospitality world managing her brother-in-law's acclaimed three-hat restaurant, Ezard, where the interplay of results and relationships in high-performance environments further shaped her frameworks. Tracey is the author of Ferocious Warmth, Glue and The Buzz — and has now had over 16,000 people move through The Buzz diagnostic across almost 700 schools. She is a National Fellow of ACEL, the 2022 ACELVic Hedley Beare Educator of the Year, and a Certified Speaking Professional. Her newest book is due for release soon. Connect with Tracey: Website: www.traceyezard.com LinkedIn: Tracey Ezard Facebook: Tracey Ezard — Engage, Collaborate, Act Instagram/X: @traceyezard Books by Tracey Ezard: Ferocious Warmth (also available on Audible and Spotify Premium) Glue The Buzz Other resources mentioned: Heifetz & Linsky — Balcony and Dance Floor metaphor (from Leadership on the Line) Red Brick Thinking by Donna McGeorge The Pruning Principle by Dr. Simon Breakspear and Michael Rosenbath Esther Perel — author and speaker on workplace relationships and relational intelligence Dylan Wiliam — collective efficacy, professional learning cultures Connect with me via: My website: adriennehornby.com.au LinkedIn: linkedin.com/in/adrienne-hornby-a4126a205/ Email: hello@adriennehornby.com.au Well-Led Schools Partnership Program - https://adriennehornby.com.au/school-partnerships/ See omnystudio.com/listener for privacy information.

Ahead of Ferocious Dog's farewell tour, Mike was grateful to sit down with Ken to talk about legacy, empathy, the incredible Hellhound family, the Metal community and so much more! Don't miss Ferocious Dog this year and listen now!

“You are the most God-gifted writer I've ever had,” Tom's college professor told him. However, Tom quit college; his love of farming drew him back to the farm. Thirty years later, Tom picked up the pen again, drawing readers into farming adventures with him. In these exciting and uplifting true stories, he shares his love of farming, family, and God. His unique writing style brings the reader right alongside him and his family as they work on their northern Wisconsin dairy farm. Tom's stories have spread like wildfire from his hometown newspaper to papers across America. Readers tell him, “Please don't quit writing.” Others ask him, “When are you going to make it a book?” Due to popular demand here it is. From quotes like “Dad, I really enjoyed fixing that with you” to “She's a dead cow don't call me anymore,” these engaging stories will keep you turning the pages to read one story, then another. As you do, you will be blessed as so many others have been. Come, read, and enjoy our farm life with us.

Great Horned Owls excel at nocturnal hunting, thanks to their acute senses and stealth — but their feet let them secure squirming prey. The outermost of their four toes can rotate forward or backward, an advantage that most other birds of prey lack, letting them capture animals as large as raccoons. A four-pound owl can take flight with six pounds of prey.More info and transcript at BirdNote.org.Want more BirdNote? Subscribe to our weekly newsletter. Sign up for BirdNote+ to get ad-free listening and other perks. BirdNote is a nonprofit. Your tax-deductible gift makes these shows possible.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Are you ready for Shofar-Blowing, Jesus praising, Power-Packed Wednesday Morning session with Stacy Whited?! If not, then get your mind right because we are LIVE at 11:11AM CST.TO WATCH ALL FLYOVER CONTENT: www.theflyoverapp.com Follow and Subscribe on YouTube: https://www.youtube.com/@TheFlyoverConservativesShowTO WATCH ALL OF THE PROPHETIC REPORTS - https://flyoverconservatives.com/resources-2/prophetic-words/For Printable Versions of the Declarations - text DECREES to 40509(Message and data rates may apply. Terms/privacy: 40509-info.com)WATCH Ginger Ziegler:RUMBLE: https://rumble.com/c/GingerZieglerMinistries?e9s=src_v1_cmdWEBSITE: https://gingerziegler.com/

I've a ferocious dose of chickenpox and look like a type of sandwich meat Hosted on Acast. See acast.com/privacy for more information.

Episode A33 Be ferocious! How can we help you take action? What can we learn from the web jungle today? Our tiger is back to remind us… Be ferocious in your week this week!YOU be the tiger! And we have a brief surprise visit from the tiger in my backyard! What are YOUR questions? How can we HELP YOU? Listen https://www.askawebgeek.com/wp-content/uploads/animal-033-tiger-again.mp3 Ask a Web Geek: Join our FB group: See Ask a Web Geek (@FB) Jump into our ongoing conversations! What are YOUR questions? How can we HELP YOU? More Resources: More Resources & links at Jungle-Studios.com/resources BONUS Trainings and Resources! Refer to / Browse https://jungle-studios.com/meet-cj Download Episode Related Episodes A33 – Be ferocious! How can we help you take action? by CJ Gilbert | Feb 16, 2026 | Geek BytesEpisode A33 Be ferocious! How can we help you take action?What can we learn from the web jungle today? Our tiger is back to remind us... Be ferocious in your week this week!YOU be the tiger! And we have a brief surprise visit from the tiger in my backyard! What are... GB032-01 – Website Tour – Examples & Links of ALL 7 Levels! by CJ Gilbert | Feb 11, 2026 | Geek BytesEpisode GB032-01 Website Tour - Examples & Links of ALL 7 Levels!CJ answers: "Hey CJ! Can you show us some of the different kinds of website you build? Different Capabilities, Industries, etc...?"CJ takes us on a guided tour of the website jungle showing us all the... New Topics Discussed Weekly Join our Facebook Group Today! Want to Join Us? Join our FB Group to Ask a Question and Participate LIVE Play / Watch / Listen 1.) Join Us on Facebook 2.) Watch on YouTube 3.) Follow Us on Twitter 4.) Listen by Podcast Apple Podcasts | Google Podcasts | RSS

One of Rabbi Shai Held's first experiences of love was from his father, who loved him ferociously. Tragically, he died when Shai was 12 years old. The experience shook Shai's belief and trust in God.  But Rabbi Held is someone who can hold the messy contradictions of faith and love. He understands that one minute, we can feel intense love, and the next, we're full of resentment and frustration. Rabbi Held is also the most generous of teachers: he shares his struggles and doubts, in order to hold space for our own. Rabbi Held's latest book is called Judaism is About Love. It is a radical and provocative effort that points to love as the heart of the Jewish faith.   Rabbi Shai Held is president of the Hadar Institute, an educational center that builds egalitarian Jewish communities through learning, prayer, and acts of kindness. He has received the Covenant Award for excellence in Jewish education and was included multiple times in Newsweek's list of most influential rabbis in America.  You will walk away from this raw, emotional interview understanding that love is more than a sentiment - - and you'll learn that focusing on divine love is central to your everyday spiritual health.  Links and resources:  About Rabbi Shai Held  About the Hadar Institute  Answers WithHeld podcast Abraham Joshua Heschel With & For is a podcast of the Thrive Center, an applied research center that exists to catalyze a movement of human thriving, with and for others through spiritual health. Learn more at thethrivecenter.org. Follow us on Instagram @thrivecenter. Follow us on LinkedIn @thethrivecenter Dr. Pamela Ebstyne King hosts With & For, and is the Executive Director of the Thrive Center and the Peter L. Benson Professor of Applied Developmental Science at the School of Psychology & Marriage and Family Therapy at Fuller Seminary. Follow her @drpamking. About With & For Host: Pam King Senior Director and Producer: Jill Westbrook Operations Manager: Lauren Kim Social Media & Graphic Designer: Wren Juergensen Senior Producer: Clare Wiley Executive Producer: Jakob Lewis Produced by Great Feeling Studios Special thanks to the team at Fuller Studio and Fuller Seminary's School of Psychology & Marriage and Family Therapy. The podcast was made possible through the support from the John Templeton Foundation. The opinions expressed in this publication are those of the host and guests, and do not necessarily reflect the views of the John Templeton Foundation.

Originally recorded and released February 5, 2026.Join Amanda Grace as she prophetically connections recent events to biblical timelines and patterns. Can you sense the intensity in the atmosphere!? NEW! Prayer Lines now available Mon - Fri, 9am-5pm ET. CALL 845-743-6500 or 845-743-2583The Revelationary War is available NOW! Get your copy here: https://buff.ly/4fnuDd7Preorder Amanda's second book, Brace for Impact: https://buff.ly/PiQgPcEMusic Copyright References:-131615741-Awards Inspirational Cinematic Music (Short 3) [Upbeat Nomination Epic Orchestra] Stock Media provided by JadSound / Pond5-21981893-Corporate And Inspirational Cinematic Background Music (1.00 Minutes Version) Stock Media provided by StockAudios / Pond5-151471022-Uplifting Inspirational CorporateStock Media provided by Patrick_Schlebes / Pond5-154756307-Magic Fireflies Loop Version2(Modern And Relaxing Background) Stock Media provided by Lesya_NZ / Pond5-123859534-Successful Product Presentation 60S - P5 Stock Media provided by Wolfgangwoehrle / Pond5-105166597-Believe in You (Inspirational And Uplifting)- P5 Stock Media provided by DivaProductionMusic / Pond5Music License: https://www.pond5.com/legal/license/20230221Purchase ID/Date: 7365245 / 9-29-2023Website: https://arkofgrace.orgPrayer Requests: https://arkofgrace.org/prayer-requestsDonate: https://arkofgrace.org/donatePartners: https://arkofgrace.org/ministry-partners

From the Vault: Episode 2 of The Dave Durand Show. Dave sits down with Mark Middendorf—President of Ave Maria University and founder of Lighthouse Catholic Media—to discuss what it means to be a ferocious leader while staying rooted in Catholic principles. Dave also shares practical ways to stay motivated, lead with conviction, and motivate others, then wraps up with answers to listener questions.

When you hear "ferocious", you might think a wild animal attacking it's prey (or maybe your aunt when she doesn't have her morning coffee). But what if that's actually the way Jesus wants us to pray? You have an enemy that's ferocious. This week, Chuck Mingo shows us why and how we can partner with Jesus to take the fight back to him. Recorded live at Crossroads Church in Cincinnati, Ohio.

Stefan Molyneux looks at several problems in society during 2026, such as income redistribution and the shortcomings of welfare programs. He talks with callers about how IQ might connect to certain behaviors in groups, points out the party-focused side of college life, and covers the stresses that come with being a parent. The discussion shifts to capitalism, race, and the need for people to take charge of their own lives, before he encourages folks to think about what their communities stand for and how to get more involved.GET FREEDOMAIN MERCH! https://shop.freedomain.com/SUBSCRIBE TO ME ON X! https://x.com/StefanMolyneuxFollow me on Youtube! https://www.youtube.com/@freedomain1GET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK!https://peacefulparenting.com/Join the PREMIUM philosophy community on the web for free!Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows!You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more!See you soon!https://freedomain.locals.com/support/promo/UPB2025

Mark 8:27-35 - And Jesus went on with His disciples to the villages of Caesarea Philippi. And on the way He asked His disciples, “Who do people say that I am?” And they told Him, “John the Baptist; and others say, Elijah; and others, one of the prophets.” And He asked them, “But who do you say that I am?” Peter answered Him, “You are the Christ.” And He strictly charged them to tell no one about Him. And He began to teach them that the Son of Man must suffer many things and be rejected by the elders and the chief priests and the scribes and be killed, and after three days rise again. And He said this plainly. And Peter took Him aside and began to rebuke Him. But turning and seeing His disciples, He rebuked Peter and said, “Get behind Me, Satan! For you are not setting your mind on the things of God, but on the things of man.” And calling the crowd to Him with His disciples, He said to them, “If anyone would come after Me, let him deny himself and take up his cross and follow Me. For whoever would save his life will lose it, but whoever loses his life for My sake and the Gospel's will save it.”

The new year is upon us and this week we look at what we would like to see in 2026 in the world of comics. Plus comic making resolutions from the pod hosts, listeners and lots of great comics community folks. Plus there's banter about great indie comic recommendations, expiry dates, hats and more! Great stuff to check out: Absolute Batman, Daredevil: Cold Day in Hell, Zak Cahill, DUI4, The Cartoon Museum, Keiron Squires, Lawless Comic Con, Film and Television Thoughts and Notes, Ben Wheatley, Ferocious, Mad Cave Comics, Incorporated, Lords on the Piss, Saint Malo, Creative Mussell Productions

Complex trauma is more common than you might think. Many people face a host of significant challenges such as damaging childhood experiences, relationship abuse, and terrifying life events. The impact of traumatic experiences can surely accumulate over time even though we're often unaware of the significant mental, emotional, and physical toll. Sadly, we end up merely "holding it together" as we march forward in survival mode. Yet, when we suppress trauma, the core parts of who we are often starve and wither away. Today, I'm joined by a tremendous complex trauma expert, Dr. Harris, who will help us unravel how anxiety and fear can hold us back--and how to heal and move forward. Topics discussed include somatic experiencing therapy, validation, kindness, healing, empathy, body-based healing, glimmers, stalking, rape, emotional abuse, physical abuse, financial abuse, domestic violence, support, Healing Your Way Home Retreat, secure attachment, insecure attachment, and psychotherapy.Please note that this episode contains sensitive material; listener discretion is advised.Emergency Assistance Note: If you or someone you know needs immediate support, please call your emergency services. In the US, 24/7 help is available by calling "911," "988" (Suicide and Crisis Hotline), or SAMSA (Substance Abuse and Mental Health Services Administration) at 1-800-662-HELP (4357). Domestic Violence: https://www.thehotline.org/https://odphp.health.gov/myhealthfinder/healthy-living/mental-health-and-relationship Additional links are in the show notes.Mental Health Hotline: https://mentalhealthhotline.org/ptsd-hotline/NAMI HelpLine: https://www.nami.org/support-education/nami-helpline/IMPORTANT DISCLAIMER: No expert is offering medical or psychological direction or advice; the content is purely informational in nature. Please consult your physician or healthcare provider before undertaking any new regimen or procedure.Connect with Dr. Carla Manly:Website: https://www.drcarlamanly.comInstagram: https://www.instagram.com/drcarlamanly/Twitter: https://www.twitter.com/drcarlamanly/Facebook: https://www.facebook.com/drcarlamanlyLinkedIn: https://www.linkedin.com/in/carla-marie-manly-8682362b/YouTube: https://www.youtube.com/@dr.carlamariemanly8543TikTok: https://www.tiktok.com/@dr_carla_manlyBooks by Dr. Carla Manly:Joy From Fear: Create the Life of Your Dreams by Making Fear Your Friend Date Smart: Transform Your Relationships and Love FearlesslyAging Joyfully: A Woman's Guide to Optimal Health, Relationships, and Fulfillment for Her 50s and BeyondThe Joy of Imperfect Love: The Art of Creating Healthy, Securely Attached RelationshipsImperfect Love Relationship & Oracle Card Deck by Dr. Carla Manly:EtsyAmazonConnect with Dr. Harris:Website: https://theempoweredtherapist.com/Blog: https://theempoweredtherapist.com/therapist-mentor-trauma-healing-retreat-blog/Retreat: https://theempoweredtherapist.com/trauma-healing-retreat-somatic-intensives-dallas-texasClasses: https://theempoweredtherapist.com/somatic-movement-classes-healing-yogaInstagram: https://www.instagram.com/theempoweredtherapist/Facebook: https://www.facebook.com/theempoweredtherapstLove the show? Subscribe, rate, review, and share! https://drcarlamanly.com/

In a world that often rewards silence over truth, this conversation invites us into the radical possibility that courage can be compassionate and compassion can be ferocious. Sandra Bargman joins Amy to explore how choosing authenticity over approval transforms the way we lead, speak up and refuse the quiet self-betrayal that so many of us have normalized. Together they peel back the layers of social conditioning, especially for women and leaders, and show how the simple act of pausing, breathing and telling the truth becomes a liberating spiritual practice. This episode reminds us that real compassion begins with ourselves and that the courage to be disliked is sometimes the most loving choice we can make.Key Takeaways:The Paradox of Ferocious Compassion - Learn how strength and tenderness can coexist and why true compassion sometimes requires uncomfortable honesty.Why Self-Betrayal Happens in Leadership - See how people pleasing, approval seeking and silence accumulate and undermine your integrity and confidence.The Courage to Be Disliked - Discover why speaking your truth is an act of self respect and how developing this muscle changes every room you walk into.Reclaiming Your Voice in Moments That Catch You Off Guard - Find approaches for pausing, breathing and responding instead of freezing, laughing it off or internalizing harm.Confrontation as Presence, Not Conflict - Understand how facing a moment directly, without attack or avoidance, becomes a deep expression of integrity.Practicing Boundaries With Compassion - Explore ways to assess your safety, values and intentions so you can decide when to stay, when to speak and when to walk away.About the Guest: Sandra Bargman helps leaders unlock truthful presence with a blend of vocal mastery, storytelling skill, and deep emotional intelligence. Drawing from decades as an actor, singer, director, and life counselor, she teaches people to express themselves with clarity, authenticity, and intention. Her holistic B.I.G. Approach brings together breath and body work, vocal strength, diction, silence, mindfulness, and story craft, giving clients the tools to communicate with confidence and purpose. Whether she's coaching one-on-one or leading groups, Sandra guides people of all ages and professions to access their inner truth, sharpen their message, and step into bolder, more grounded communication.https://www.sandrabargman.comhttps://www.sandrabargman.com/podcast About Amy:Amy Lynn Durham, known by her clients as the Corporate Mystic, is the founder of the Executive Coaching Firm, Create Magic At Work®, where they help leaders build workplaces rooted in creativity, collaboration, and fulfillment. A former corporate executive turned Executive Coach, Amy blends practical leadership strategies with spiritual intelligence to unlock human potential at work.She's a certified Executive Coach through UC Berkeley & the International Coaching Federation (ICF) In addition, Amy holds coaching certifications in Spiritual Intelligence (SQ21), the Edgewalker Profile, and the Archetypes of Change . In addition to being the host of the Create Magic At Work® podcast, Amy is the author of Create Magic At Work®, Creating Career Magic: A Daily Prompt Journal and the founder of Magic Thread Media™. Through her work, she inspires intentional leadership for thriving workplaces and lives where “magic” becomes reality.Connect with Amy:

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Ferocious fires, monster storms and epic floods. But there were some climate bright spots in 2025 as well. CBC meteorologists Johanna Wagstaffe and Ryan Snoddon break down the impacts of human-caused climate change and how it affected our weather this year. From the rapid intensification of hurricanes and typhoons to rivers and wells running dry in places not accustomed to drought, they explain how climate-charged extreme weather events are reshaping the world along with the way they talk about their forecasts.

Episode 802 of the Pennsylvania Rock Show features one of Pittsburgh's most emotionally powerful and hard-hitting rock bands — Ferocious Ghosts. This episode dives deep into the band's concept, their passion for storytelling through music, and the haunting themes that shape their identity. Ferocious Ghosts isn't just a name — it's a reflection of what lives inside all of us. The band's music speaks to the lingering echoes of our past: the mistakes, regrets, lost friendships, faded connections, and unresolved moments that never fully disappear. These are the “ferocious ghosts” that follow us through life. The post Ferocious Ghosts PARS802 first appeared on Build the Scene.

We've got some stuff to talk about!!! (It's comics. It's been comics the whole time!) - In addition to the books in the title, we'll also try to make sense of X-Men of Apocalypse

For the second time in less than a week, the Philippines is bracing for another super typhoon.Ferocious winds and torrential rain are hitting the country, with the storm said to be the size of western Europe Also in the programme: As the US government shutdown hits 40 days, it becomes the longest in history - with senators meeting in a rare Sunday session; and - is Artificial Intelligence going to turn against us?(Photo shows a man walking in the rain with an umbrella as Typhoon Fung-wong approaches, in Cauayan, Isabela, Philippines, November 9, 2025. Credit: Eloisa Lopez/Reuters)

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How much fiber do you really need to maintain optimal metabolic health? Ferocious partisans on either side of the debate will give you opposing answers, each supported by superficially compelling scientific evidence. But who's actually telling you the truth? It's complicated.

The prospect of more ferocious winds has Wairarapa locals on the verge of tears on the eve of one of their biggest holiday weekends. A rare red-level wind warning has been issued tomorrow for Wellington and Wairarapa south of Carteron. It comes after the death of a man in Mount Victoria on Tuesday, who was struck by a falling tree and widespread damage causing power outages in communities across the region. Riversdale's coastal community is one of them. Mary Argue reports.

"Whatever Jen Agg says is worth listening to," said Anthony Bourdain. I fully agree! If you live in Toronto you probably know Jen Agg. If you don't, let me tell you she runs the best restaurants in town! Come visit and try them! Her most recent stunner is a two-story converted auto-body shop turned Toronto Life #1 ranked restaurant called "​General Public​" and it is a feast for the senses. Jen describes the place as "part Narnia, part fancy British pub, and part '80s cocaine dream" which gives you a sample of her incredible way with words on top of dishes on top of lighting on top of music on top of ... vibe. I was at General Public last week with my friend Agostino and we split Rainbow Trout Tartare, Hiramasa Crudo, Chicory Salad, and Popcorn Clams and Mussels. And those were just our appetizers! And precisely none of the items fully described the depth of surprising and fresh ingredients leading to the full-body sensory experiences we had when taking our first bites... Jen Agg has opened many other award-winning restaurants including ​Bar Vendetta​, ​Grey Gardens​, ​Le Swan​, ​Rhum Corner​, ​Hoof Cocktail Bar​ and, famously, The Black Hoof (RIP), where I still remember my friend Drew ordering a Spicy Raw Horse Sandwich with raw egg on top many years ago. His verdict? "Delicious!" Of course that place turned the restaurant scene in the city sharply sideways! And sharply sideways is such a great way to live... I admire Jen Agg's sharply sideways ways and also highly recommend her bestselling memoir “​I Hear She's A Real Bitch​” (perhaps the best memoir title of all time?) Now there is of course no where else to sit down with Jen than one of her restaurants so for this one we slip into the front booth at the delectable "french diner" that is ​Le Swan​. Btw, if you go you might find yourself making a new Spotify playlist like I did to remember the great music you're hearing—"Ooh la la" by Ronnie Lane followed by "My Sweet Lord" by George Harrison followed by "Everybody's Talkin'" by Harry Nilsson followed by "Tangled Up In Blue" by Bob Dylan! Of course it's hard to pay attention to the music when you're gobbling Smoked Trout Rillette, Steak Tartare, and the city's best Corn Dogs! Let's sit down and talk about fussiness as a virtue, the art of dining alone, having a healthy marriage with someone much older than you, the brilliant Jen Agg's 3 most formative books, and much, much, MUCH more... It was an honour and privilege to talk to Jen Agg in this classic chapter of 3 Books.

Ben and Kory discuss the team's 37-24 win, what's to like, and updates on Taylor Decker and Kalif Raymond. Jared Goff is playing ultra-efficient football, and the defense is making plays … and the future is bright with missing pieces set to return soon. Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's "Monday Morning Game Balls" episode of The Call Sheet podcast, Coach Kevin Smith honors another huge day for Puka Nacua, a "Giant" beatdown of Justin Herbert, a statement win by the Chiefs, and more top performers from Week 4 of the NFL season. Learn more about your ad choices. Visit megaphone.fm/adchoices

In the first hour, DVD discusses the pass rush from the Titans against the Broncos, and if they can help Cam Ward this week, going against another good pass rush unit. They also go over what the O-Line can do to help ward out. 

Alex and KJ recap the Packers DOMINANT win over the Detroit Lions in Week 1. What did the brothers see out there? How would they describe the Micah Parsons effect? Talking all the great plays, players, and moments from an electric start to the season and more - Welcome back to the IKE Packers Podcast!Help the show by telling another Packers fan! Other ways to contribute are by leaving a 5-star review on Apple Podcasts and subscribing wherever you get your podcasts.@IKE_Packers on X

Cam Ward's NFL Debut Comes vs Ferocious Denver Broncos Defense + Week 1 PreviewSee omnystudio.com/listener for privacy information.

Cam Ward's NFL Debut Comes vs Ferocious Denver Broncos Defense + Week 1 PreviewSee omnystudio.com/listener for privacy information.

Cam Ward's NFL Debut Comes vs Ferocious Denver Broncos Defense + Week 1 PreviewSee omnystudio.com/listener for privacy information.

Florida Suffocates LIU: DJ, VB3 SHOCKS US & a Ferocious Defense Steal the Show

On this episode of the It Just Works! Podcast Ryan and Eric discuss what's going on in life, movies, Nintendo switch 2, and they wrap it up with Jurassic World Rebirth.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

The guys unpack why Jonnu Smith found his way in Pittsburgh following his career year Tobin explains why this is a Win for the Fins while Leroy argues this makes the offense worse The guys get into a legendary quibble over the value of Jonnu Smith

This week we're belting it out and calling some people out. We kick things off with a passionate discussion about karaoke etiquette: if you're sitting down while singing or not clapping for others, consider this a THREAT. Counselor Jonathan covers the bizarre tale of a woodpecker terrorizing a Massachusetts town. Counselor Zachariah tells us about a raccoon who got caught on camera with illegal... stuff... you'll have to listen i cant type it out lol. We wrap things up covered in glitter and white powder because we went to Charli XCX Brat Tour yall!!Want BONUS CONTENT? Join our PATREON!Sponsors:➜ This episode is sponsored in-part by MeUndies.➜ This episode is sponsored in-part by Zoc Doc.➜ This episode is sponsored in-part by Rocket Money.Sources:➜ Ben Hooper. “‘Ferocious' Woodpecker Damages 25 Vehicles in Massachusetts Town.” UPI, 25 Apr. 2025.➜ Jon Haworth. Woman Arrested after Raccoon Named Chewy Found with a Pipe in Driver's Seat during Police Stop, ABC News Network, 7 May 2025.Camp Songs:Spotify PlaylistYouTube PlaylistSammich's Secret MixtapeSocial Media:Camp Counselors TikTokCamp Counselors InstagramCamp Counselors FacebookCamp Counselors TwitterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode KJ goes to the skies again and covers the Rendlesham Forest Incident in 1980 where a UFO was reported on a US Air Force Base in the eastern U.K. near the town of Ipswich. Bill covers gruesome Dogman-Like encounter from Alabama in the US where some folks saw the terrifying creature ripping apart some type of prey on the ground. And finally we will cover some great listener mail. Please join us! Thank you for listening! www.bigfootterrorinthewoods.com Produced by: "Bigfoot Terror in the Woods L.L.C."

On today's show, Alex recaps the Pacers loss to the Bucks, the starters jelling together and the bench unit falling apart. The big runs that ultimately led to Indiana's downfall, Nesmith's career night, Haliburton and Siakam's play and what is going on with TJ McConnell. 

Today Your Mom and Dad recap Jenn's latest Bachelorette episode - and WOW, it was a wild one! They discuss their many thoughts on that sponsored by Wicked date, the absolute 10/10 sh*t show group date that was Sam's downfall, their shock with the top 4 choices, predictions, and their feelings about the NEW Bachelor!! THANKS TO OUR SPONSORS: ***QUINCE: Go to https://Quince.com/MOMDAD for free shipping on your order and 365-day returns! ***MIXHERS: Head to https://Mixhers.com/MOMDAD and use promo code MOMDAD at checkout for an additional 10% off your order! ***HELLO FRESH: Get FREE kids' meals at https://HelloFresh.com/momdadkids ***TUSHY: : Over 2 Million Butts Love TUSHY! Get 10% off TUSHY with the code MOMDAD at https://hellotushy.com/MOMDAD # tushypod ***PRETTY LITTER: Go to https://PrettyLitter.com/momdad to save 20% on your FIRST order and get a free cat toy!