Podcast appearances and mentions of John McCarthy

Welcome to McCarthy Monday on Weighing In! On this episode, Big John McCarthy and Josh Thomson break down two of the most talked-about officiating moments from the weekend and explain exactly what happened from a referee's perspective. The guys dive into the controversy surrounding the decision involving Nkuta and Herb Dean at the MVP event, discussing the rules, the referee's responsibilities, and whether the criticism from fans is justified. They also break down the illegal headbutt that occurred at CFFC while Josh was on commentary, examining how referees are trained to handle fouls, what options are available to officials in real time, and how commissions determine the outcome of these situations. As always, McCarthy Monday is designed to help educate MMA fans on the rules, judging, officiating, and decision-making process that takes place inside the cage. If you've ever questioned a referee's call, a stoppage, or the result of a fight, this is the show for you.

Fr. Eamonn McCarthy presents live from the studio for the Mariathon, marking Radio Maria Ireland's 11th birthday. He reflects on the station's unlikely beginnings and its growth to 60,000 streaming devices and over 100 countries, and introduces his brother Fr. John McCarthy, a priest of the Diocese of Cloyne, who is offering a free copy […] L'articolo Catechesis – Familiar Voices on RMI's 11th Birthday – Frs Eamonn and John McCarthy proviene da Radio Maria.

In today's episode of the Small College Basketball Podcast, listeners will join host Chris Cottrell in Kansas City for interviews and reactions to the Small College Basketball National Awards.  Cottrell interviews John McCarthy, the founder of Small College Basketball as well as each of the national award winners.  The Small College Basketball National Awards also recognize the National Championship coaches the their teams from across Small College Basketball.  Additionally, Cottrell and McCarthy celebrate the 2026 winners of the BEVO FRANCIS AWARD, the TREVOR HUDGINS AWARD and the RYAN TURELL AWARD.  The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoopsor visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris CottrellThank you to our SCB Sponsors....www.visitcentralflorida.comwww.GoPlay-Sports.com

MMA Detective Mike Davis and co-host Joey Venti sit down once again with early MMA legend and the original Huntington Beach Bad Boy, David "Tank" Abbott. This is Tank's third appearance on the show, delivering his signature no-holds-barred perspective on the raw, untamed early days of mixed martial arts.In this wide-ranging conversation, Tank addresses viral social media moments including his legendary 600-pound bench press (spotted by former UFC executive David Isaacs) and his story of a young, angry Strickland trying to fight him in a bar, only for Tank to take the kid under his wing for the night. He also shares candid recollections from his UFC run, WCW transition, training with John Marsh, fights against Frank Mir, Kimo Leopoldo, and Wesley "Cabbage" Correira, plus his thoughts on the creation of the light heavyweight division, backstage politics, and the evolution of the sport.Straight from one of MMA's most polarizing and entertaining pioneers, this episode is packed with firsthand history, strong opinions, and stories you won't hear anywhere else. If you want the unfiltered truth about the men who built mixed martial arts, this is essential listening.The MMA History Podcast is dedicated to preserving the sport's rich heritage through in-depth interviews and obsessive research. Hundreds of episodes, thousands of hours of documentation—all conducted by the most dedicated mind in the business.Subscribe for more early MMA stories direct from the fighters who lived them.0:00 MMA history podcast intro 0:32 Joey Venti's guest introduction 0:49 interview start 1:36 600 LB bench press video 3:10 Sean Strickland trying to fight Tank Abbott5:11 called and alcoholic by John McCarthy7:35 thoughts on the Vitor Belfort9:54 how Tito Ortiz made it to the UFC12:28 fighters pretending to be tough guys14:58 talking Authority figures with John McCarthy18:57 Dana White managing Tito Ortiz and Chuck Liddell21:15 Tito Ortiz selling merchandise at high school gyms 23:46 Dana White introducing weight classes26:26 Tito Ortiz responsible for 205lb weight class 27:53 Tito Ortiz avoiding fight with Babalu31:13 thoughts after wrestling career 32:53 trolled by a bouncer 37:28 Paul Herrera accused of stealing cigars 40:59 leaked Paul Herrera instructionals 44:48 Paul Herrera vs Kazushi Sakuraba49:58 why TUF was a success 52:46 Tank Abbott vs Frank Mir 58:18 career downfall after Frank Mir fight 1:01:17 Dana White related to Frank Mir rumors 1:01:43 training with Phil Baroni1:03:11 Tito Ortiz almost hit by a bus 1:04:37 not invited to Tito Ortiz's wedding 1:07:24 1:08:30 Tito Ortiz working at Spanky's adult book store 1:10:07 false reels about Tank Abbott 1:12:15 Tank Abbott vs Kimo Leopoldo1:14:08 flying to Costa Rica after fight 1:20:00 interactions with Wes simms 1:22:21 connecting with John Marsh 1:26:06 Tank Abbott vs Cabbage 1:38:08 denied UFC return 1:42:50 UFC HOF fights that are snubbed 1:45:17 different phases of the UFC 1:47:34 UFC milking fans out of their money 1:51:23 relationship with Ken Shamrock 1:52:19 Paula Romero 1:54:24 Tank Abbott vs Cabbage rematch 1:59:03 fights at after parties 2:01:36 Tank Abbott Book series2:03:35 Ranger Scott 2:04:33 Mark Kerr in the UFC HOF 2:05:16 Tank Abbott movie 2:09:26 Tito Ortiz and Kevin Randleman story 2:12:36 Tank Abbott and Tito Ortiz incompatibility2:14:25 John McCarthy shoving Tedd Williams 2:17:00 John McCarthy on food fighting show 2:17:37 Walter Fox 2:18:45 interview wrap up/outroApple Podcast MMA History PodcastYouTube https://youtube.com/@MMAHistoryPodcast?si=bj1RBXTZ2X82tv_JOutro song: Power - https://tunetank.com/t/2gji/1458-powerMike - The MMA Detective - @mikedavis632 Cash App - $mikedavis1231Venmo - Mike-Davis-63ZELLE: Cutthroatmma@gmail.com / ph#: 773-491-5052 #MMA #UFC #NHB #MixedMartialArts #MMADetective #MikeDavis #MMAHistory #OldSchoolMMA #MMAPodcast #fightpodcast Thank You for your support

What looks like coincidence is often the providence of God.In this message, delivered in Chandler's 2026 Missions Rally, Pastor John McCarthy from San Jose, CA preaches on divine providence and kingdom favor from 1 Samuel 9, showing how God works through ordinary events, quiet obedience, and unexpected connections to move people into destiny.From Saul searching for lost donkeys, to missionaries reaching nations, to real stories of supernatural favor in housing, ministry, healing crusades, and church planting, this message makes one thing clear:Favor is not luck. It flows where obedience goes.This sermon will stir anyone who has ever wondered:Is God really directing my steps?Why do some doors open so unexpectedly?How do I stay in the favor of God?Can God use someone like me?The hidden hand of GodWhy favor is not randomHow obedience positions you for divine doorsWhy God rarely shows the whole plan at onceHow people lose favor through pride and stubbornnessWhy revival still belongs to those who will trust and obeyIf you're hungry for revival, world evangelism, and a life led by the hidden hand of God, this message is for you.Scripture: 1 Samuel 9, Proverbs 16:9, Psalm 37:23, Genesis 22:14, Proverbs 3:5-6In this message:Subscribe for more sermons, conference preaching, revival testimonies, and Pentecostal preaching content.Chapters00:00 Divine Providence and Kingdom Favor06:31 Trusting God's Plan: The Hidden Hand11:34 Obedience and God's Favor19:37 The Power of Divine Favor33:39 Revival and Destiny: Stepping into God's PurposeShow NotesALL PROCEEDS GO TO WORLD EVANGELISMLocate a CFM Church near you: https://cfmmap.orgWe need five-star reviews! Tell the world what you think about this podcast at:• Apple Podcasts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://apple.co/3vy1s5b• Podchaser: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.podchaser.com/podcasts/taking-the-land-cfm-sermon-pod-43369v

In today's episode of the Small College Basketball Podcast, listeners will join host Chris Cottrell and the founder of Small College Basketball, John McCarthy for a recap and celebration of the 2026 Small College Basketball National Champions.... Cottrell and McCarthy Discuss the Championship Games (8:23) from NCAA Division II, NCAA Division III and the NAIA. Also, Cottrell celebrates the 2026 USCAA and NCCAA National Champions. Today's featured guest is Jadon Burgess, a starting guard from the NCAA Division III Men's Basketball National Champion Mary Washington College. (59:03) Additionally, Cottrell and McCarthy announce the 2026 winners of the BEVO FRANCIS AWARD, the TREVOR HUDGINS AWARD and the RYAN TURELL AWARD. This year, the 2026 Small College Basketball Awards are scheduled for Sunday, April 26, 2026. The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoops or visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris CottrellThank you to our SCB Sponsors....www.visitcentralflorida.comwww.GoPlay-Sports.com

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

"Thucydides as a Philosopher", a Tutor Talk given by tutor Dr. John McCarthy at Thomas Aquinas College, New England, on March 18, 2026.

On Monday's Drivetime with DeRusha... 3pm: Jason wonders if using ICE to try and bolster the TSA and reduce wait times isn't such a bad idea? Then, should arrest videos really be made public? 4pm: How we deal with death - from the President's loathsome response to Robert Muller's death, to how people grieve together when it comes to the loss of Jessi Pierce. Then Jason talks with real estate expert John McCarthy from Colliers about if perhaps data centers could help stabilize the downtowns. 5pm: On the DeRush-Hour, Jason goes In Depth with Amanda Jackson, President of Allied Charities of MN, about updating MN's meat raffle regulation in light of rising beef prices. And Dave Schwartz remembers Jessi Pierce and recaps the weekend in sports.

Jason talks with Colliers VP and real estate expert John McCarthy about data centers starting to take over some of the vacant office space in the Twin Cities downtowns. Could that help stabilize property tax values?

Monday 4pm Hour: Jason reacts to the President's loathsome response to Robert Mueller's death, and producer Dan Cook reminds us that we're not alone when we grieve the passing of someone like hockey writer Jessi Pierce and her kids. Then Jason talks with real estate expert John McCarthy - could data centers help stabilize things in the downtowns?

"Thucydides as a Philosopher", a Tutor Talk given by tutor Dr. John McCarthy at Thomas Aquinas College, New England, on March 18, 2026.

“AI is a theft of knowledge. I can't believe we as a society allowed this.” — Noam CohenTen years ago, Noam Cohen came on the show to ask if it was “Too Late to Save the Internet from Itself?” Back then, this early Silicon Valley critic was a New York Times writer. He was, as it turns out, a “premature anti-technologist” — Cohen's phrase, borrowed from the premature antifascists who were called communist for opposing Hitler before it was fashionable. We should have listened to him. Now a freelance writer, Cohen describes himself, without self-pity, as a casualty of the internet revolution. The big media world that employed him barely exists anymore. And tech's Know-It-All elite that he warned us about are richer than ever.His 2017 book The Know-It-Alls: The Rise of Silicon Valley as a Political Powerhouse and Social Wrecking Ball is now back with a new introduction, triggered by that infamous photograph of Bezos, Zuckerberg, Pichai, and Musk at Trump's inauguration. Cohen's argument hasn't changed — history has caught up with it. These weren't businessmen attending a president's ceremony, Cohen says. Trump, he fears, is their vessel. Like the tech titans, Trump doesn't believe in regulation, doesn't believe in democracy, believes only he can solve it. That's the same thing Musk says. And Zuckerberg. And Altman. Even Amodei. They are all Know-It-Alls. Five Takeaways•       We Were Premature Anti-Technologists: Cohen's phrase, borrowed from the premature antifascists who were called communist for opposing Hitler before it was fashionable. In 2017, he and I could see the consolidation of power. We should have been listened to. We weren't. Cohen is now a freelance writer whose wife has the steady income. He describes himself, without self-pity, as a casualty of a media world that no longer exists.•       Trump Is Their Vessel: That photograph at the inauguration — Bezos, Zuckerberg, Pichai, Musk — wasn't businessmen attending a ceremony. Trump doesn't believe in regulation, doesn't believe in democracy, believes only he can solve it. That's the same thing Musk says. And Zuckerberg. And Altman. They're all unique founders who believe only they can fix the world. They have more in common with each other than with any of us.•       Stanford's Eugenics History Explains Silicon Valley: Lewis Terman brought the IQ test to America and built a programme around identifying “gifted” children. His son Fred turned Stanford into the Harvard of the West by importing venture capital. The idea that intelligence can be measured, that the smartest should breed, that society should be run by its cognitive elite — that's the soil Silicon Valley grew from. It's also why Jeffrey Epstein was a natural fit.•       AI Is a Theft of Civilisation: They hoovered up all of human knowledge without permission or payment. Copyright is meaningless. The result isn't intelligence — it's replication. John McCarthy dreamed of creating a being three times smarter than Einstein. What we got is a machine that regurgitates our own words and calls it thinking.•       There Shouldn't Be Billionaires: Cohen's conclusion after ten years of watching the Know-It-Alls consolidate power. AI and social media are utilities and should be nationalised. Wealth inequality at this scale is inherently destabilising. California's proposed billionaire wealth tax and Australia's ban on social media for under-16s are signs that the tide may be turning. But only if the next election produces a party willing to claw it back. About the GuestNoam Cohen is a former New York Times technology columnist and the author of The Know-It-Alls: The Rise of Silicon Valley as a Political Powerhouse and Social Wrecking Ball (The New Press, 2017; revised edition with new introduction, 2026). He lives in Brooklyn with his family.References:•       The Know-It-Alls by Noam Cohen (The New Press, revised 2026) — the book under discussion.•       Episode 2842: Symbolic Capitalism vs. Symbolic Democracy — this week's TWTW on the $10 trillion AI startup and whether capitalism permits democracy.•       Episode 2836: Is Elon Human? — Charles Steel on Musk's curious mind, referenced in the conversation.•       Episode 2835: Why Dario Amodei Might Be the 21st Century's First Real Leader — the Amodei question Cohen answers with a flat no.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:

In today's episode of the Small College Basketball Podcast, listeners will join host Chris Cottrell and the founder of Small College Basketball, John McCarthy for an in-depth discussion of NCAA Division II, NCAA Division III and the NAIA. Cottrell and McCarthy will discuss the.....NCAA Division II Top Teams and Conference Tournaments currently underway;NCAA Division III National Tournament Brackets and Top Teams;and NAIA National Tournament Brackets and Top Teams.Additionally, Cottrell and McCarthy break down the recently released TREVOR HUDGINS AWARD watch-list and the BEVO FRANCIS watch-list of the top men's Small College Basketball players in the country.This year, the 2026 Small College Basketball Awards are scheduled for Sunday, April 26, 2026.The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoopsor visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris CottrellThank you to our SCB Sponsors....www.visitcentralflorida.comwww.GoPlay-Sports.com

Barracuda Head Coach John McCarthy talks with Brodie Brazil about the Cuda season, impactful players, and looking ahead to the rest of the AHL season.

Send a textEp 315 Tank Abbott Fighting in the 90's  The Original UFC bad boy, David "Tank" Abbott, joins us for an unfiltered deep dive into the wild early days of MMA.From his explosive knockouts at UFC 6, legendary clashes in the tournament, street-fighting roots, and raw takes on the politics, "works," and personalities that shaped the sport - Tank holds nothing back.Now retired in the desert, this powerhouse legend (natural 625-Ib bench, no-BS 0:00 MMA history podcast intro  0:32 Joey Venti's guest introduction 0:51 interview start 6:58 packaged by Dave Thomas for the UFC 11:02 meeting with Art Davie 16:44 17:30 receiving letter of intent to fight in the UFC 21:44 attending UFC 5 24:19 interactions with Joe Son 29:19 issues with Jim Brown 43:42 Ken Shamrock vs Royce Gracie “rematch”44:58 Ultimate Tank ppv 45:50 cornering Vanilla ice for a fight 46:31 thoughts on Tito Ortiz 50:48 technique vs being tough 52:02 Tank Abbott vs John Matua 58:02 making the UFC entertaining 59:05 Tank Abbott vs Paul Varelans1:03:03 Tank Abbott vs Oleg Taktarov1:07:17 Pat Smith altercation backstage 1:09:46 attack on Pat Smith in elevator 1:14:30 Ken Sharock calling the cops 1:15:29 writing apology letter to John McCarthy 1:16:59 becoming a paint artist 1:17:44 training with Mark Schultz 1:19:38 wrestling Chael Sonnan 1:21:46 first fixed fight in the UFC 1:23:09 Ken Shamrock not being pushed in UFC1:24:58 Tank Abbott vs Dan Severn 1:30:17 Altercation with Allan Goes 1:40:55 sucker punched by Wallid Ismail1:46:04 Bas Rutten vs Kevin Randleman 1:47:05 Allan Goes incident in Puerto Rico1:49:28 thoughts on John Perretti 1:52:38 meeting Tito Ortiz 1:55:32 Tito Ortiz stealing check from car 2:02:12 Tank Abbott vs Scott Ferrozzo 2:09:13 Tank Abbott vs Cal Worsham 2:11:25 Direct wave TV sponsor 2:11:44 Canceled bout with Ken Shamrock 2:14:39 fighters taking steroids 2:17:07 Don Frye worked fight with Mark Hall 2:18:04 Big Al throwing burger at Frank Shamrock 2:19:55 thoughts on the UFC hall of fame 2:25:00 Ken Shamrock calling out Tank Abbott 2:27:35 Pride Fc using Tank Abbott for promotional material 2:32:05 Tank Abbott vs Maurice Smith 2:34:26 Dan Severn pulling out of Maurice Smith fight 2:38:37 interview wrap up/ outroPlease follow our channels on Follow the MMA History Team on Instagram: MMA Detective Mike Davis @mikedavis632 Co Host Joey Venti @aj_ventitreRecords Keeper-  Andrew Mendoza @ambidexstressSocial Media Manager Andy Campbell  @martial_mindset_Thumbnails Julio Macedo  @juliosemacentoInstagram https://www.instagram.com/mmahistorypodcast?igsh=aHVweHdncXQycHBy&utm_source=qrSpotify https://open.spotify.com/show/3q8KsfqrSQSjkdPLkdtNWb?si=aL3D5Y3aTDi-PQZdweWL8gApple Podcast MMA History PodcastYouTube https://youtube.com/@MMAHistoryPodcast?si=bj1RBXTZ2X82tv_JOutro song: Power - https://tunetank.com/t/2gji/1458-powerMike - The MMA Detective - @mikedavis632 Cash App - $mikedavis1231Venmo - Mike-Davis-63ZELLE: Cutthroatmma@gmail.com / ph#: 773-491-5052 #MMA #UFC #NHB #MixedMartialArts #MMADetective #MikeDavis #MMAHistory #OldSchoolMMA #MMAPodcast #fightpodcast Thank You for your supportSupport the show

Send us a textEp 315 Tank Abbott Fighting in the 90's  The Original UFC bad boy, David "Tank" Abbott, joins us for an unfiltered deep dive into the wild early days of MMA.From his explosive knockouts at UFC 6, legendary clashes in the tournament, street-fighting roots, and raw takes on the politics, "works," and personalities that shaped the sport - Tank holds nothing back.Now retired in the desert, this powerhouse legend (natural 625-Ib bench, no-BS 0:00 MMA history podcast intro  0:32 Joey Venti's guest introduction 0:51 interview start 6:58 packaged by Dave Thomas for the UFC 11:02 meeting with Art Davie 16:44 17:30 receiving letter of intent to fight in the UFC 21:44 attending UFC 5 24:19 interactions with Joe Son 29:19 issues with Jim Brown 43:42 Ken Shamrock vs Royce Gracie “rematch”44:58 Ultimate Tank ppv 45:50 cornering Vanilla ice for a fight 46:31 thoughts on Tito Ortiz 50:48 technique vs being tough 52:02 Tank Abbott vs John Matua 58:02 making the UFC entertaining 59:05 Tank Abbott vs Paul Varelans1:03:03 Tank Abbott vs Oleg Taktarov1:07:17 Pat Smith altercation backstage 1:09:46 attack on Pat Smith in elevator 1:14:30 Ken Sharock calling the cops 1:15:29 writing apology letter to John McCarthy 1:16:59 becoming a paint artist 1:17:44 training with Mark Schultz 1:19:38 wrestling Chael Sonnan 1:21:46 first fixed fight in the UFC 1:23:09 Ken Shamrock not being pushed in UFC1:24:58 Tank Abbott vs Dan Severn 1:30:17 Altercation with Allan Goes 1:40:55 sucker punched by Wallid Ismail1:46:04 Bas Rutten vs Kevin Randleman 1:47:05 Allan Goes incident in Puerto Rico1:49:28 thoughts on John Perretti 1:52:38 meeting Tito Ortiz 1:55:32 Tito Ortiz stealing check from car 2:02:12 Tank Abbott vs Scott Ferrozzo 2:09:13 Tank Abbott vs Cal Worsham 2:11:25 Direct wave TV sponsor 2:11:44 Canceled bout with Ken Shamrock 2:14:39 fighters taking steroids 2:17:07 Don Frye worked fight with Mark Hall 2:18:04 Big Al throwing burger at Frank Shamrock 2:19:55 thoughts on the UFC hall of fame 2:25:00 Ken Shamrock calling out Tank Abbott 2:27:35 Pride Fc using Tank Abbott for promotional material 2:32:05 Tank Abbott vs Maurice Smith 2:34:26 Dan Severn pulling out of Maurice Smith fight 2:38:37 interview wrap up/ outroPlease follow our channels on Follow the MMA History Team on Instagram: MMA Detective Mike Davis @mikedavis632 Co Host Joey Venti @aj_ventitreRecords Keeper-  Andrew Mendoza @ambidexstressSocial Media Manager Andy Campbell  @martial_mindset_Thumbnails Julio Macedo  @juliosemacentoInstagram https://www.instagram.com/mmahistorypodcast?igsh=aHVweHdncXQycHBy&utm_source=qrSpotify https://open.spotify.com/show/3q8KsfqrSQSjkdPLkdtNWb?si=aL3D5Y3aTDi-PQZdweWL8gApple Podcast MMA History PodcastYouTube https://youtube.com/@MMAHistoryPodcast?si=bj1RBXTZ2X82tv_JOutro song: Power - https://tunetank.com/t/2gji/1458-powerMike - The MMA Detective - @mikedavis632 Cash App - $mikedavis1231Venmo - Mike-Davis-63ZELLE: Cutthroatmma@gmail.com / ph#: 773-491-5052 #MMA #UFC #NHB #MixedMartialArts #MMADetective #MikeDavis #MMAHistory #OldSchoolMMA #MMAPodcast #fightpodcast Thank You for your supportSupport the show

In today's episode of the Small College Basketball Podcast, listeners will join host Chris Cottrell and the founder of Small College Basketball, John McCarthy for an in-depth discussion of NCAA Division II, NCAA Division III and the NAIA.  Cottrell and McCarthy highlight some of the hottest teams in Small College Basketball and some of the players to watch in the back-half of the college basketball season.  Additionally, McCarthy breaks down the initial BEVO FRANCIS WatchList of the top 100 men's Small College Basketball players as well as the criteria and what to expect from the Trevor Huggins Award.  The Small College Basketball Podcast will return with John McCarthy and Chris Cottrell in February for a Conference Tournament discussion and preview of the Small College Basketball National Tournaments at all levels !! The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoopsor visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris CottrellThank you to our SCB Sponsors....www.visitcentralflorida.comwww.GoPlay-Sports.com

Think you know the story of AI's rise and fall? This episode upends conventional wisdom with guest historian Thomas Haigh, who reveals why the infamous "AI winter" might just be a myth and why the field's biggest failures fueled today's breakthroughs. Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI NVDA, GOOGL, META: AI Spending Forecast to Hit $2.53 Trillion This Year Nvidia, Eli Lilly just say yes to making drugs together, using Vera Rubin GPUs Claude Cowork Exfiltrates Files We put Claude Code in Rollercoaster Tycoon How Generative AI is destroying society - by Gary Marcus Anthropic rewrites Claude's guiding principles—and entertains the idea that its AI might have 'some kind of consciousness or moral status' Claude's new constitution Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Thomas Haigh Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit monarch.com with code IM

Think you know the story of AI's rise and fall? This episode upends conventional wisdom with guest historian Thomas Haigh, who reveals why the infamous "AI winter" might just be a myth and why the field's biggest failures fueled today's breakthroughs. Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI NVDA, GOOGL, META: AI Spending Forecast to Hit $2.53 Trillion This Year Nvidia, Eli Lilly just say yes to making drugs together, using Vera Rubin GPUs Claude Cowork Exfiltrates Files We put Claude Code in Rollercoaster Tycoon How Generative AI is destroying society - by Gary Marcus Anthropic rewrites Claude's guiding principles—and entertains the idea that its AI might have 'some kind of consciousness or moral status' Claude's new constitution Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Thomas Haigh Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit monarch.com with code IM

Think you know the story of AI's rise and fall? This episode upends conventional wisdom with guest historian Thomas Haigh, who reveals why the infamous "AI winter" might just be a myth and why the field's biggest failures fueled today's breakthroughs. Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI NVDA, GOOGL, META: AI Spending Forecast to Hit $2.53 Trillion This Year Nvidia, Eli Lilly just say yes to making drugs together, using Vera Rubin GPUs Claude Cowork Exfiltrates Files We put Claude Code in Rollercoaster Tycoon How Generative AI is destroying society - by Gary Marcus Anthropic rewrites Claude's guiding principles—and entertains the idea that its AI might have 'some kind of consciousness or moral status' Claude's new constitution Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Thomas Haigh Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit monarch.com with code IM

Think you know the story of AI's rise and fall? This episode upends conventional wisdom with guest historian Thomas Haigh, who reveals why the infamous "AI winter" might just be a myth and why the field's biggest failures fueled today's breakthroughs. Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI NVDA, GOOGL, META: AI Spending Forecast to Hit $2.53 Trillion This Year Nvidia, Eli Lilly just say yes to making drugs together, using Vera Rubin GPUs Claude Cowork Exfiltrates Files We put Claude Code in Rollercoaster Tycoon How Generative AI is destroying society - by Gary Marcus Anthropic rewrites Claude's guiding principles—and entertains the idea that its AI might have 'some kind of consciousness or moral status' Claude's new constitution Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Thomas Haigh Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit monarch.com with code IM

Think you know the story of AI's rise and fall? This episode upends conventional wisdom with guest historian Thomas Haigh, who reveals why the infamous "AI winter" might just be a myth and why the field's biggest failures fueled today's breakthroughs. Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI NVDA, GOOGL, META: AI Spending Forecast to Hit $2.53 Trillion This Year Nvidia, Eli Lilly just say yes to making drugs together, using Vera Rubin GPUs Claude Cowork Exfiltrates Files We put Claude Code in Rollercoaster Tycoon How Generative AI is destroying society - by Gary Marcus Anthropic rewrites Claude's guiding principles—and entertains the idea that its AI might have 'some kind of consciousness or moral status' Claude's new constitution Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Thomas Haigh Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit monarch.com with code IM

Think you know the story of AI's rise and fall? This episode upends conventional wisdom with guest historian Thomas Haigh, who reveals why the infamous "AI winter" might just be a myth and why the field's biggest failures fueled today's breakthroughs. Two Thinking Machines Lab Cofounders Are Leaving to Rejoin OpenAI NVDA, GOOGL, META: AI Spending Forecast to Hit $2.53 Trillion This Year Nvidia, Eli Lilly just say yes to making drugs together, using Vera Rubin GPUs Claude Cowork Exfiltrates Files We put Claude Code in Rollercoaster Tycoon How Generative AI is destroying society - by Gary Marcus Anthropic rewrites Claude's guiding principles—and entertains the idea that its AI might have 'some kind of consciousness or moral status' Claude's new constitution Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Thomas Haigh Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit monarch.com with code IM

In today's episode of the Small College Basketball Podcast, listeners will hear the REPLAY of a presentation from Head Coach of Wash U, Pat Juckem.  Coach Juckem was our second presenter in our Small College Basketball Summer Education Series.  This 3-part educational series of Zoom Presentations focused on Small College Basketball coaches from across the country presenting the offensive, defensive and cultural philosophies that drive their success.  Today's episode is a replay of Coach Juckem's “Strategies for Improving your Team's Offensive Efficiency”.  Coach Juckem is entering his 8th season at Wash U after a very successful run at UW Oshkosh.  In the 2024-2025 season, Coach Juckem led Wash U to a 23-7 record and the team advanced to the NCAA Division III national semi-final.   The Small College Basketball Podcast will return with John McCarthy and Chris Cottrell on Saturday, January 17, 2026 for a mid-season recap! The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoopsor visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris CottrellThank you to our SCB Sponsors....www.visitcentralflorida.comwww.GoPlay-Sports.com

John McCarthy raakt verzeild in een bloedig misdaadconflict in Pinn Peaks. Uitgegeven door Godijn Publishing Spreker: Martin Schouten

In this episode of Catechesis, Father John McCarthy guides listeners through the spiritual journey of Advent, exploring the themes of the four Sundays: hope, repentance, healing, and the coming of Christ. From the first candle's call to be a light to others, to John the Baptist's invitation to bear fruit, to the opening of blind […] L'articolo Catechesis – The Challenge of Advent – Fr John McCarthy proviene da Radio Maria.

In today's episode of the Small College Basketball Podcast, listeners will hear the REPLAY of a presentation from 3x National Champion and 2x Conference Carolinas Coach Of the Year, TJ Rosene.  Coach Rosene was our first presenter this summer in our Small College Basketball Summer Education Series.  This 3-part educational series of Zoom Presentations focused on Small College Basketball coaches from across the country presenting the offensive, defensive and cultural philosophies that drive their success.  Today's episode is a replay of Coach Rosene's “5 Pillars of Leading a Successful Team.”  The Small College Basketball Podcast will return with John McCarthy and Chris Cottrell on Saturday, January 17, 2026 for a mid-season recap! The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoopsor visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris CottrellThank you to our SCB Sponsors....www.visitcentralflorida.comwww.GoPlay-Sports.com

In today's episode of the Small College Basketball Podcast, listeners join host Chris Cottrell and John McCarthy to preview the 2025-2026 Small College Basketball season.  Cottrell and McCarthy discuss what stood out from the Small College Basketball Hall of Fame Classic, presented by VisitCentralFlorida.com and GoPlaySports.com.  After talking about the tip-off event, Cottrell and McCarthy discuss the top ranked teams, in NCAA Division II and NCAA Division III and the NAIA.  As well as the players at all three levels to watch in this upcoming  season.   The 2025 Small College Basketball Award winners can be found here...https://www.smallcollegebasketball.com/awardsThe Small College Basketball Podcast has been named #8 of the "Top 30 College Basketball Podcasts" by Feedspot.... and the 61st best College Basketball Podcast by Million Podcasts.   Please click below for the full lists...  https://ncaa.feedspot.com/college_basketball_podcasts/ https://www.millionpodcasts.com/college-basketball-podcasts/For more information on today's episode and Small College Basketball you can tweet at us @coach_cottrell_ or @smcollegehoops… or email smallcollegebasketball@gmail.comFor all of the latest news and highlights of NCAA D2, NCAA D3, NAIA, NCCAA and USCAA Men's Basketball follow Small College Basketball on Twitter @smcollegehoopsor visit www.smallcollegebasketball.comFor more information visit https://anchor.fm/scb_podcastYou can follow Host Chris Cottrell onTwitter @Coach_Cottrell_LinkedIn @Chris Cottrell

On Episode 3,610, the guys had a lot of matchups announced and also had a guest, Big John McCarthy, who will be returning to reffing fights.

Cathal is joined once again by OTB's Colm Boohig to preview this weekend's fixtures. The lads dive into Liverpool's recent stumble, United's ongoing struggles, and Colm is a bit baffled at Graham Potter's sacking on a Saturday morning.Lifelong West Ham fan John McCarthy joins Cathal to reflect on the club's recent managerial change and what it could mean for the Hammers going forward.

FEATURING: John McCarthy ORGANIZATION: Purpose Promise Is retirement really the end of your impact—or the perfect time to “refire” your purpose? In this powerful conversation, Jim Brangenberg talks with John McCarthy, founder of Purpose Promise, about how believers over 55 can turn retirement into a season of legacy, wisdom transfer, and renewed calling. Jim and John discuss how the American dream of retirement has trapped many Christians in a “retirement prison,” when God’s design is for older generations to invest their wisdom and experience into the body of Christ. Instead of losing identity and drifting into boredom, John explains how retirees can reshape their later years around biblical principles of vocation, discipleship, and intentional living. In this episode, you’ll learn: Why retirement as it’s been done isn’t the answer How Scripture shows that God’s people thrive when wisdom is passed down to the next generation Why John calls it “refirement” instead of retirement—and how it leads to joy and purpose Practical retreat tools that help retirees remap beliefs, habits, and rhythms around God’s design How staying rooted in your city and community can transform culture, instead of “moving away” and leaving a wisdom gap Explore and discover resources at PurposePromise.org. And for a limited time, get a free copy of iRetire4Him with a donation of any amount to iWork4Him Ministries. Give at iWork4Him.com/donate and let us know in the “notes” section of the donation page where to send your book. ____________________________________________________________________ Make the switch to Patriot Mobile, America’s only Christian conservative cell service provider! You can get great, affordable cell service while supporting causes that promote faith, family, and freedom. Signing up is a breeze: www.PatriotMobile.com/iWork4Him See omnystudio.com/listener for privacy information.

The story of the 2025 Red Bulls is the team's inability to win points away from Harrison. Saturday night, that trend continued as New York dropped a 2-1 decision at Portland. With only four chances to pick up points, the team heads to last-place Montreal. Michael Battista co-hosts. Inside this Episode: -A look back at the loss in Portland -Bull of the Week - A reset of the playoff picture -A preview of the Red Bulls' visit to Montreal -A chat with newly signed goalkeeper John McCarthy -Your Emails

Minister Niamh Smyth officially launched the sixth edition of the John McCarthy AI Summer School, set to take place on September 18-19, 2025, at the RDI Hub in County Kerry. This year's theme, "AI for Finance," will spotlight how artificial intelligence is transforming the financial sector; from institutional investing to cybersecurity and fraud detection. John McCarthy AI Summer School returns As finance undergoes a seismic shift driven by data and digital innovation, this two-day hybrid event will explore how Agentic AI, blockchain, and advanced analytics are reshaping everything from fraud detection to portfolio optimisation. Attendees will gain firsthand insights into how emerging technologies are unlocking new levels of transparency, trust, and strategic intelligence across the financial ecosystem. The speaker lineup features thought leaders and innovators including: Veronica Breen, CEO, Vesta Insights Brian Walsh, CEO, Reitigh Vasant Dhar, NYU Stern & Center for Data Science Michael Dowling, Founder, Narrative Banking David Kearney, CEO, Numra Louise McCormack, PhD Candidate in Trustworthy AI Evaluation Luca Marschesotti, Founder, Gemmo.ai Professor Ciara Heavin, UCC Jane Cummings, CTO Outmin.io and special guest speaker Dr David L Shrier: Managing Director, Visionary Future | CEO, Phorum.AI | Professor of Practice, Imperial College London. The event will be co-hosted by a dynamic consortium of partners including RDI Hub, Microsoft Ireland, Munster Technological University, SFI ADAPT Centre, AI Ireland, Skillnet Innovation Exchange, and new collaborators Fexco and Tech Industry Alliance. Designed to appeal to both academic and industry audiences, the Summer School will feature: Core Research presentations for professors, postdocs, PhD candidates, and graduate students in AI, ML, and NLP Applied Sessions for professionals and enthusiasts exploring real-world AI applications in finance Daily Panel Discussions and Networking Opportunities to foster collaboration and knowledge exchange Held in the RDI Hub, named in tribute to AI pioneer John McCarthy, whose father hailed from Cromane, Co. Kerry, the Summer School continues to honor his legacy by convening the brightest minds in artificial intelligence. McCarthy, a Stanford computer scientist, was instrumental in founding the field of AI and created LISP, the programming language that powered early AI systems. The John McCarthy AI Summer School is fast becoming a landmark event in the global AI calendar. Don't miss this opportunity to engage with cutting-edge research, visionary leaders, and transformative ideas at the intersection of AI and finance. This is a hybrid event, attendees can join in-person or online, but limited in-person seats are available. Registrations are open now: https://lu.ma/jqp7ay6a Minister Niamh Smyth welcomed the event, commenting: 'We are beginning to see the transformative impact of AI in financial services, and expect it to influence the new international financial services strategy we have committed to develop under the Programme for Government. The 2025 John McCarthy AI Summer school offers unique insights into new developments and future opportunities in this area, underpinned by public-private collaboration and expert input. Our culture of continuous learning and development has been a key enabler of Irelands growth and success to date, and this forum will serve to further strengthen Ireland's reputation as a leader in financial innovation.' Kerry MacConnell, RDI Hub PR and Marketing Manager had this to say: "We are proud to announce the launch of the sixth annual John McCarthy AI Summer School, this year exploring the theme of 'AI for Finance.' RDI Hub has a deep-rooted connection with AI and plays a unique role at the intersection of business, entrepreneurship, and academia. Across two days, we'll examine key developments in areas such as agentic AI, cybersecurity, fraud detection, and real-world applications from industry leaders. We loo...

The Drum's opinion editor John McCarthy has recently signed up the biggest name in the biz to a regular column. Here you can listen to their first pitch meeting. Hosted on Acast. See acast.com/privacy for more information.

Send us a textEp 289 Cecil Peoples w/ Herb Dean Deep DiveCecil Peoples joins us to discuss the developmental days of mixed martial arts and its transition into modern day fighting. We delve into stories about Frank Dux, Zane Frazier and the reputation of Gene LeBellHerb Dean sat in on this special episode with a true pioneer of the sport Cecil Peoples Ep 289 Cecil Peoples w/ Herb Dean Career Deep Dive  0:00 plugs/ promotions 0:42 MMA history podcast  intro 1:14 Joey Venti's guest introduction1:41 interview start 2:00 beginnings in martial arts 4:44 drafted in to the Army 5:58 Reffed the 1st Muay Thai rule event in USA 9:06 Herb Dean meeting Cecil Peoples 12:22 Cecil Peoples importance to martial arts 14:04 Herb Dean becoming a referee 16:09 Herb Dean on growing as a referee 18:55 Tim Sylvia arm break 26:25 Antonio Nogueira snapped arm 28:50 having to pull fighters off during submission 32:24 Manson Gibson35:50 Cyrille Diabate vs Rick Roufus38:45 watching the first UFC on tv39:58 Zane Frazier vs Frank Dux 52:55 Steven Seagal $50k challenge 54:16 Gene LeBell's reputation 1:00:19 auditioning for a movie 1:04:47 understanding Jiu Jitsu before UFC 1:08:35 interactions with the Shamrocks 1:10:43 Erik Paulson 1:13:25 John McCarthy becoming involved in UFC1:18:58 thoughts on Ron Van Clief 1:22:00 Harold Haward and Bart Vale 1:23:00 Ray Wizard in the UFC 1:25:41 Count Donte 1:31:14 Eric Paulson vs James Warring 1:32:04 Herb Dean pulled over for speeding 1:33:57 interview wrap up 1:36:42 outro/ closing thoughtsSubscribe to the Lytes Out Podcast:https://www.youtube.com/@MMAHistoryPodcastSocials: Facebook -https://www.facebook.com/groups/1027449255187255/?mibextid=oMANbwInstagram - https://www.instagram.com/lytesoutpodcast/iTunes - https://podcasts.apple.com/us/podcast/lytes-out-podcast/id1568575809 Spotify - https://open.spotify.com/show/3q8KsfqrSQSjkdPLkdtNWb Mike - The MMA Detective - @mikedavis632 Cash App - $mikedavis1231Venmo - Mike-Davis-63ZELLE: Cutthroatmma@gmail.com / ph#: 773-491-5052 Follow the #LOP team on Instagram: Chris Lytle - Founder/Owner - @chrislightsoutlytle Mike Davis - MMA Detective - @mikedavis632 Joey Venti - Assistant - @aj_ventitreTyson Green - Producer - @ty.green.weldingAndrew Mendoza - Timestamps - @ambidexstressAndy Campbell - Social Media Manager - @martial_mindset_Josh Campbell - ContributerJohn Perretti - Historical ContributerOutro song: Power - https://tunetank.com/t/2gji/1458-power#MMA #UFC #NHB #LytesOutPodcast #LytesOut #MixedMartialArts #ChrisLytle #MMADetective #MikeDavis #MMAHistory #OldSchoolMMA #FiftyFightClub #MMAPodcast #FightPodcastSupport the show

Send a textEp 289 Cecil Peoples w/ Herb Dean Deep DiveCecil Peoples joins us to discuss the developmental days of mixed martial arts and its transition into modern day fighting. We delve into stories about Frank Dux, Zane Frazier and the reputation of Gene LeBellHerb Dean sat in on this special episode with a true pioneer of the sport Cecil Peoples Ep 289 Cecil Peoples w/ Herb Dean Career Deep Dive  0:00 plugs/ promotions 0:42 MMA history podcast  intro 1:14 Joey Venti's guest introduction1:41 interview start 2:00 beginnings in martial arts 4:44 drafted in to the Army 5:58 Reffed the 1st Muay Thai rule event in USA 9:06 Herb Dean meeting Cecil Peoples 12:22 Cecil Peoples importance to martial arts 14:04 Herb Dean becoming a referee 16:09 Herb Dean on growing as a referee 18:55 Tim Sylvia arm break 26:25 Antonio Nogueira snapped arm 28:50 having to pull fighters off during submission 32:24 Manson Gibson35:50 Cyrille Diabate vs Rick Roufus38:45 watching the first UFC on tv39:58 Zane Frazier vs Frank Dux 52:55 Steven Seagal $50k challenge 54:16 Gene LeBell's reputation 1:00:19 auditioning for a movie 1:04:47 understanding Jiu Jitsu before UFC 1:08:35 interactions with the Shamrocks 1:10:43 Erik Paulson 1:13:25 John McCarthy becoming involved in UFC1:18:58 thoughts on Ron Van Clief 1:22:00 Harold Haward and Bart Vale 1:23:00 Ray Wizard in the UFC 1:25:41 Count Donte 1:31:14 Eric Paulson vs James Warring 1:32:04 Herb Dean pulled over for speeding 1:33:57 interview wrap up 1:36:42 outro/ closing thoughtsSubscribe to the Lytes Out Podcast:https://www.youtube.com/@MMAHistoryPodcastSocials: Facebook -https://www.facebook.com/groups/1027449255187255/?mibextid=oMANbwInstagram - https://www.instagram.com/lytesoutpodcast/iTunes - https://podcasts.apple.com/us/podcast/lytes-out-podcast/id1568575809 Spotify - https://open.spotify.com/show/3q8KsfqrSQSjkdPLkdtNWb Mike - The MMA Detective - @mikedavis632 Cash App - $mikedavis1231Venmo - Mike-Davis-63ZELLE: Cutthroatmma@gmail.com / ph#: 773-491-5052 Follow the #LOP team on Instagram: Chris Lytle - Founder/Owner - @chrislightsoutlytle Mike Davis - MMA Detective - @mikedavis632 Joey Venti - Assistant - @aj_ventitreTyson Green - Producer - @ty.green.weldingAndrew Mendoza - Timestamps - @ambidexstressAndy Campbell - Social Media Manager - @martial_mindset_Josh Campbell - ContributerJohn Perretti - Historical ContributerOutro song: Power - https://tunetank.com/t/2gji/1458-power#MMA #UFC #NHB #LytesOutPodcast #LytesOut #MixedMartialArts #ChrisLytle #MMADetective #MikeDavis #MMAHistory #OldSchoolMMA #FiftyFightClub #MMAPodcast #FightPodcastSupport the show

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San Jose Barracuda Head Coach, John McCarthy spoke with the media after Thursday's Prospect Scrimmage.

Authors and cocktail aficionados Carey Jones and John McCarthy join us to unpack their no-fuss approach to bar setup and stress-free hosting. With a focus on simple strategies and inclusive entertaining, this episode is your invitation to level up summer gatherings with confidence and ease. Mentioned in this episode: Be Your Own Bartender by Carey Jones and John McCarthy Every Cocktail Has a Twist by Carey Jones and John McCarthy www.hostwithconfidencepodcast.com

Brendan Schaub breaks down/makes picks for UFC 316 Merab Dvalishvili vs Sean O'Malley 2 and talks Maycee Barber pulling out of her fight with Erin Blanchfield minutes before their fight, big John McCarthy's accusations that Jon Jones committed a "sexual act" on an MMA commissioner in front of him, BJ Penn getting arrested 3 times in 6 days, Cory Sandhagen apparently making 2 million dollars in a month on OnlyFans, Jon Anik leaking Belal Muhammad vs Shavkat Rakhmonov fighting in October, Jon Jones turning down his own money offer to the UFC to fight Tom Aspinall and much more.Shopify - https://shopify.com/schaubDraftKings - Download the DraftKings Sportsbook app and use code SCHAUBSHOWProgressive - https://www.progressive.com/Sure Shot - https://sureshot.com/ Use code Brendan for 10% OFFSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

S6 E7: The Psychology of Athletic Coaching w/Dr. John McCarthyWhat goes into coaching in sports? Is it more than x's and o's? Is it more than just yelling orders at players to do what they are told? What is the psychology that is involved within coach-athlete relationships? What are the educational principles of teaching and learning that are part of coaching? What are the systematic and cultural aspects that influence the sport experience? In this episode, we answer these questions and more with Dr. John McCarthy, aka “Coach Mac,” who is a beloved clinical associate professor in the Applied Human Development graduate program at Boston University's Wheelock College of Education & Human Development where he is in charge of the Sports Coaching specialization and also teaches and supervises the Sport Psychology students. This is an incredibly helpful resource for anyone in a leadership or coaching role, whether you are involved in sports or not.

As consumers brace for fewer options and higher prices on store shelves, Northwest Seaport Alliance co-chair and Port of Tacoma president John McCarthy explains the ripple effect that an expected decline in shipping will have on the U.S. economy. And, Israel has a new plan to "capture Gaza" and take control of the distribution of humanitarian food and aid supplies. CNN's Jerusalem correspondent Jeremy Diamond shares more. Then, a U.S. official tells NPR Ukraine is getting more military support as the Trump administration sends a Patriot air-defense system to the country from Israel. Ukraine-based foreign policy analyst Hanna Shelest tells us what the move means.Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Trump might be beginning to realize that all of that business acumen he thinks he has, might not really exist. He's starting to soften his tariff stance as the markets quake. Former deputy director of the National Economic Council, Bharat Ramamurti, discusses. Plus, John McCarthy, President Biden's former senior adviser for political engagement who would meet with Pope Francis, discusses the Pope's legacy and how he influenced the political world. 

- SUBSCRIBE TO OUR PODCAST: http://cornerofthegalaxy.com/subscribe/  - COG LA GALAXY DISCORD: https://discord.gg/drr9HFZY2P - COG ANTHEM MUSIC BY RAY PLAZA: https://linktr.ee/munditoplaza - COG ANTHEM MUSIC DOWNLOAD: https://open.spotify.com/artist/3asiasldwKyoCRm1Vzx2h7?si=_LmXI9otT9y9j0ChMGMt2w COG STUDIOS, Calif. -- The LA Galaxy might, just barely, be gaining some momentum in this 2025 season. And, of course, we say that knowing the Galaxy are winless through five games and have scored just four goals on the season. But on today's show, hosts Josh Guesman and Kevin Baxter will tell you what they saw in the Minnesota game and why it may be the Galaxy are ready to take flight for the first time in 2025. John McCarthy got the start of Novak Micovic again, and we're starting to see that Vanney wants Zanka's experience over the exuberance and mistakes of Emiro Garces. How long will that last? Plus, the travel schedule doesn't get any better for LA as they follow up a seven-game month with a six-game month. Can the Galaxy get their first win of the season as Orlando travels to Carson? We've got a great show for you, and we're glad you could join us every Monday and Thursday night! -- Corner of the Galaxy is kicking off Season 17, just a few shows past show no. 1,100! And we can't wait to show you everything we've got in store for 2025! This is just a reminder that we go live twice a week — Monday and Thursday at 8 PM on YouTube—and that you can find us conveniently anywhere you get your podcasts (Apple, Spotify, Soundcloud, YouTube, GooglePlay, etc.). We're making it easy for you to stay connected! So tell a friend that you've been listening to the longest-running team-specific podcast in Major League Soccer and that 2025 is a great time to start listening!

- SUBSCRIBE TO OUR PODCAST: http://cornerofthegalaxy.com/subscribe/  - COG LA GALAXY DISCORD: https://discord.gg/drr9HFZY2P - COG ANTHEM MUSIC BY RAY PLAZA: https://linktr.ee/munditoplaza - COG ANTHEM MUSIC DOWNLOAD: https://open.spotify.com/artist/3asiasldwKyoCRm1Vzx2h7?si=_LmXI9otT9y9j0ChMGMt2w COG STUDIOS, Calif. -- The LA Galaxy scored a point on the road against the Portland Timbers on Sunday. With Christian Ramirez's late goal, the Galaxy kept their momentum from the Herediano match and seemed to solve Portland's game plan in the second half. On today's show, hosts Josh Guesman and Kevin Baxter discuss the lineup changes Greg Vanney made and why they came up with what they'll call some "pointed criticism." What will become of John McCarthy and Novak Micovic? What is to be made of Zanka over Emiro Garces? Is Vanney lighting some fires on a team that may need a kick in the pants to refocus on the 2025 season? Finally, the guys will discuss the upcoming matches and why March is long and April just got longer. Are the Galaxy ready to fire on all cylinders? Let's talk! -- Corner of the Galaxy is kicking off Season 17, just a few shows past show no. 1,100! And we can't wait to show you everything we've got in store for 2025! This is just a reminder that we go live twice a week — Monday and Thursday at 8 PM on YouTube—and that you can find us conveniently anywhere you get your podcasts (Apple, Spotify, Soundcloud, YouTube, GooglePlay, etc.). We're making it easy for you to stay connected! So tell a friend that you've been listening to the longest-running team-specific podcast in Major League Soccer and that 2025 is a great time to start listening!

- SUBSCRIBE TO OUR PODCAST: http://cornerofthegalaxy.com/subscribe/  - COG LA GALAXY DISCORD: https://discord.gg/drr9HFZY2P - COG ANTHEM MUSIC BY RAY PLAZA: https://linktr.ee/munditoplaza - COG ANTHEM MUSIC DOWNLOAD: https://open.spotify.com/artist/3asiasldwKyoCRm1Vzx2h7?si=_LmXI9otT9y9j0ChMGMt2w COG STUDIOS, Calif. -- The LA Galaxy will wrap up their preseason Coachella tournament on Saturday. But what have we learned about this 2025 version of the club? On today's show, hosts Josh Guesman and Alex Ruiz (Galactic Tribune https://www.galactictribune.org) discuss the Galaxy's first win of the preseason and the additions of Lucas Sanabria and Christian Ramirez. Why is Ramirez the clear starter at the no. 9 position? And why is John McCarthy on the outs with this Galaxy team? Will Novak Micovic be the starter for the season opener? The guys will talk about the new "rizon" kit and why MLS made a big mistake with how they're allowing those to be sold. Let's get you ready for the run-up to the first match of 2025! -- Corner of the Galaxy is kicking off Season 17, just a few shows past show no. 1,100! And we can't wait to show you everything we've got in store for 2025! This is just a reminder that we go live twice a week — Monday and Thursday at 8 PM on YouTube—and that you can find us conveniently anywhere you get your podcasts (Apple, Spotify, Soundcloud, YouTube, GooglePlay, etc.). We're making it easy for you to stay connected! So tell a friend that you've been listening to the longest-running team-specific podcast in Major League Soccer and that 2025 is a great time to start listening!