Podcasts about Glove

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: www.holmbergpodcast.com, www.98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Link Up w/The Morning Sickness Digitally All Over:Instagram: @hms_98_official, @bosskupd, @bretvesely, @dickToledoX/Twitter: @HMSon98, @DickToledo, @bretveselyFacebook: @HMSKUPDYouTube: @hmspodcast9320, @98kupdRequest/Call in/Wakeup Song line:(IN AZ) 602.585.9800More HMS: www.holmbergpodcast.com, www.98kupd.comEmail: dtoledo@98kupd.com, bvesely@98kupd.com, bbogen@98kupd.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Mark MerchenSept 27, 2026Three Miracles, Two Trees, and a Glove

Colts and Chiefs OT Thriller Andy is not going to let the Chiefs dictate his heart rate.... .... Andy lets a call send him on a tirade Just as we predicted in the AFC - undefeateds are Bills, Bengals, Chiefs, and Raiders.

yeah we're still ranting about the nora thing lol rice made me not poop buffet had too much mac n cheese no more glove touching ufc tai tuivasa please dont lose again bacon pinto beans charro salad salsa chips cinderella man and nightcrawler #podcast 

Send us a message here or email us at modelinginsanitypodcast@gmail.comEpisode 52: Bad Etiquette, Toxic Groups & Honest Reviews: The Gloves Are OffJoining the insanity this episode are Jason Hanscom from Blue Ox Model Shop and the Model Car Mania Podcast, along with Frank Perrone, for a show packed with rants, controversy, hobby talk, and plenty of laughs.Rob kicks things off with TWO epic rants. First up: a discussion about what happens when proper show etiquette goes straight out the window, sparked by the actions of a particular modeler at a recent Virginia show. Then it's off to the wonderful world of social media, as the guys tackle how a certain modeling group has seemingly gone from being about the hobby to becoming increasingly toxic.Once Rob's blood pressure returns to somewhere near normal, the crew takes a quick detour to talk ArmorCon 2026, coming to Danbury, Connecticut, October 2nd and 3rd. AMPS President Neil Stokes and ArmorCon Head Judge Georg Eyerman join the show to give us the rundown on the upcoming event, judging, what attendees can expect, and everything ArmorCon.Then it's back to our regularly scheduled insanity.Listener mail brings up a great question: What actually makes a good product review? The guys discuss what they want to see in reviews, what information actually matters, and whether reviewers should be willing to call out the bad along with the good.From there, it's a rapid-fire quick-answer round, upcoming show talk, social media shout-outs, and all the usual nonsense you've come to expect from the Modeling Insanity crew.And whatever you do… stick around for the outtakes at the end.Controversy. Rants. ArmorCon. Honest reviews. Bad decisions. And plenty of laughs.It's Episode 52 of the Modeling Insanity Podcast. Take a listen and enjoy the insanity!Armorcon 2026 info visit https://www.northeastmilitarymodelers.com/armorconOpening and end music by Supernova by Arthur Vyncke https://soundcloud.com/arthurvostMusic promoted by http://www.free-stock-music.comJoin the Podcast on Facebook on The Modeling Insanity Podcast PageEmail the Insanity Crew at modelinginsanitypodcast@gmail.com for any comments or suggestions.

Presented by Swinomish Casino & Lodge Sponsored by Hunt's Services Gary Payton, The Glove, joins Iconic Sonics for an unforgettable conversation about the Seattle SuperSonics, Shawn Kemp, the 1990s Sonics, his Hall of Fame career, and the future of basketball in Seattle. Danny Ball and Mike Gastineau sit down with one of the greatest players in Seattle sports history at Swinomish Casino & Lodge for a wide-ranging conversation covering everything from Gary's legendary partnership with Shawn Kemp to the 1996 NBA Finals, his battles with Michael Jordan and John Stockton, his journey into coaching, and his thoughts on the Sonics potentially returning to Seattle. Gary talks openly about his lifelong brotherhood with Shawn Kemp, why you can't mention The Glove without The Rain Man, what made their duo so difficult for opposing teams to stop, and why he believes Shawn belongs in the Basketball Hall of Fame. He also reflects on the 1996 Sonics team, the playoff run to the NBA Finals, playing against the Houston Rockets, his relationship with George Karl, learning from Julius Erving, his time with the Miami Heat, winning an NBA championship, and what he has learned from coaching the next generation of players. And with the NBA's expansion process moving forward, Gary shares his excitement about the possibility of the Sonics returning to Seattle and what it would mean to see the city's basketball history come back to life. A huge thank you to Swinomish Casino & Lodge for hosting us and for the incredible hospitality. 0:00 - Gary Payton Joins Iconic Sonics 2:38 - Is Gary Payton the Greatest Sonic Ever? 4:18 - Gary Makes His Case for Shawn Kemp's Hall of Fame 5:15 - The Glove & The Rain Man: A Brotherhood 7:00 - Will Gary Payton Be Involved When the Sonics Return? 8:30 - Why Gary Would Rather Build a Team Than Coach It 10:00 - Gary Payton on Coaching & Developing Young Players 12:45 - Why Today's NBA Players Don't Work Like They Used To 15:00 - The Coaches & Legends Who Changed Gary's Career 17:00 - How Walter Payton Helped Straighten Gary Out 19:00 - Eddie Johnson, Teammates & Learning to Grow Up 20:00 - The Story Behind Gary Payton's Iconic Glove 22:00 - Why Gary Thinks He's More Popular Now Than Ever 23:30 - Gary's Oakland Basketball Roots 25:00 - Gary Payton's Hide & Seek Strategy

This Is Spinal Tap Review takes Born to Watch somewhere few podcasts dare to go: backstage with Britain's loudest band, where amplifiers go to eleven, drummers have an alarming mortality rate, Stonehenge has serious measurement issues, and a beautiful piano composition can somehow be called “Lick My Love Pump”.Whitey, Damo and Dan are back to revisit Rob Reiner's 1984 mockumentary masterpiece, This Is Spinal Tap, a movie that barely made a ripple when it first arrived but went on to become one of the most influential comedies ever made. More than four decades later, the question is simple: is Spinal Tap still funny, or has the volume finally been turned down?For Whitey, the film has grown with every viewing. Watching it as a teenager meant missing half the jokes, but coming back to it years later reveals just how clever the movie really is. Damo is firmly aboard the Tap train, while Dan comes into this one having seen plenty of famous scenes over the years without previously sitting through the whole film from start to finish.That gives us the perfect mix for a Born to Watch review.The boys dive into what made This Is Spinal Tap so revolutionary. Rob Reiner, Christopher Guest, Michael McKean and Harry Shearer created something that looks and sounds so much like a genuine rock documentary that audiences could be forgiven for wondering whether Spinal Tap was actually real.And that is where the genius lives.There are no desperate punchlines or actors screaming at the audience to tell them where the joke is. The characters play everything completely straight. The stupidity is delivered with total sincerity, whether Nigel Tufnel is protecting a guitar that cannot even be looked at, Derek Smalls is calmly navigating another band catastrophe, or David St. Hubbins is watching his musical empire slowly fall apart.Then there are the moments that have become comedy folklore.Stonehenge.The amps that go to eleven.“Lick My Love Pump”.Smell the Glove.The constantly changing drummers.Getting hopelessly lost backstage.And some very questionable objects stuffed inside some extremely tight trousers.The boys pick apart their favourite scenes, with Dan loving the absurd brilliance of "Lick My Love Pump", Damo championing Nigel's priceless guitar collection scene, and Whitey finding himself laughing harder at the film than he ever has before.But this episode goes well beyond simply quoting the classics.The crew ask whether This Is Spinal Tap became the blueprint for the mockumentary format that followed. Would shows such as The Office and countless other mockumentary films and television series have existed in quite the same way without Reiner and the Tap boys showing everyone how it could be done?There is also plenty of love for the supporting cast and cameos. Billy Crystal, Dana Carvey, Fran Drescher, Fred Willard, Bruno Kirby, Paul Shaffer and Anjelica Huston all enter the conversation as the boys realise just how much talent is scattered throughout the film.Naturally, the episode also explores Spinal Tap's extraordinary musical history. The band's fictional back catalogue might contain some of the greatest album titles never released by a real band, from Intravenous DeMilo and Shark Sandwich to Smell the Glove, Silent but Deadly and the magnificent Bent for the Rent.Then it is time for all the regular Born to Watch madness.The Good, the Bad and the Ugly digs into what still works, what might require multiple watches to truly appreciate, and whether there is actually much "ugly" to complain about. The boys agree this movie is packed with jokes that are incredibly easy to miss the first time around, making repeat viewings almost essential.There is also Question Time, Quick Fire, Film School for F-Wits, plenty of musical detours and, naturally, another Kick Arse Credit Song from Dan.More than 40 years after its release, This Is Spinal Tap remains one of those rare comedies whose influence has become almost bigger than the movie itself. Its jokes have entered everyday language, its characters feel strangely believable, and its commitment to playing absolute stupidity completely straight remains almost impossible to replicate.So grab your guitar, prepare the miniature Stonehenge, sniff the feedbag and make sure your amplifier has that all-important extra number.Because Born to Watch is turning this episode up to eleven.Join the Born to Watch crew If you love movies but don't believe they need to be treated like sacred works of art, you've found your people. Follow the podcast, share the episode with a mate, jump onto the socials and tell us which movie deserves the Born to Watch treatment next.#ThisIsSpinalTap #ThisIsSpinalTapReview #BornToWatch #MovieReviewPodcast #SpinalTap #RobReiner #ChristopherGuest #80sMovies #ComedyMovies #Mockumentary

At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloomberg, A24 (yes the movie studio) Labs, Two Sigma, Apollo Global, and more soon!From helping pioneer core ideas in NLP to now building AI systems that can automate AI research itself, Richard Socher is betting that the next major step in AI is recursive self-improvement. He is the founder of You.com, AIX Ventures, and now Recursive, which has assembled some of the best open-endedness (& self improving agent) researchers in the world and raised a $4.65B seed round.In this episode, Richard joins Latent Space to unpack his vision for the “Eureka Machine”: a superintelligence that can improve the process of invention itself, accelerate AI research, and eventually tackle major problems across science, energy, materials, biology, and more.You can get his book “The Eureka Machine” here!We go deep on Recursive's early results, including an AI research system that Richard says outperformed humans and their agents on optimization tasks in less than two days, as well as work on NVIDIA GPU kernels where the system discovered improvements without relying on a team of CUDA experts. Richard also explains why he thinks AI research that currently takes thousands of people and years could eventually be compressed into weeks. These results are summarized in his 20 minute AIE keynote, where we also discuss his 10 dimensions of intelligence:We also explore the harder questions around increasingly capable AI: reward hacking, whether Anthropic-style constitutions actually work, AI regulation and proposals to “pace” frontier development, open-source models as geopolitical soft power, whether today's LLM paradigm is enough, and what happens if AI systems eventually begin choosing their own goals. Richard reflects on the rejected research that helped inspire Alec Radford's GPT, open-endedness, the AI Economist, simulations of entire economies, and his framework for thinking about the upper bounds of intelligence itself.We discuss:* The Eureka Machine and Richard's vision for an AI that can automate invention* Why Richard is optimistic about superintelligence for science and technology* Why AI hard-takeoff scenarios may underestimate physical and economic constraints* The risks of regulating intelligence itself instead of specific AI applications* Reward hacking and why increasingly intelligent AI makes objective design harder* Richard's critique of Anthropic's constitution and constitutional AI* Alignment vs. personalization and whose values an AI should follow* Why open-source AI matters for resilience, competition, and geopolitical soft power* Why Richard left You.com's frontier-model work to start Recursive* Recursive self-improvement and automating the process of AI research* Whether today's LLM paradigm is enough — and why Richard is less bullish on world models* DecaNLP, early prompt-based generalization, and the research that influenced GPT* Why rejected research can shape entire technological timelines* Open-endedness, evolutionary approaches, and rainbow teaming* What happens if AI systems begin setting their own goals* Why simple objectives like profit maximization can produce dangerous reward hacks* Recursive's long-term plan to apply self-improving AI to science* The compute, hardware, and economic constraints on AI takeoff* Recursive's early NanoChat, NanoGPT, and GPU kernel optimization results* Why automating AI research could reduce years of work to weeks* Reward engineering and what makes auto-research systems actually work* The AI Economist and using simulations to test economic policy* Whether LLMs can realistically simulate people and entire economies* Benchmark bugs and evaluation harnesses and the difficulty of measuring AI progress* Recursive's near-term focus on AI for AI research* Harness optimization, sandboxing, and web search as core agent infrastructure* You.com and the search stack for AI agents* AI in finance, backtesting, and data leakage* Richard's three fundamental components and ten “spaces” of intelligence* The theoretical upper bounds of vision, communication, knowledge, and computation* Creative intelligence, metacognition, and AI-generated goals* Survival and replication and why AI does not necessarily need to fear being turned off* High agency and ambitious goals and Richard's advice for people building with AIRichard Socher* X: https://x.com/RichardSocher* LinkedIn: https://www.linkedin.com/in/richardsocher/Timestamps00:00:00 The Eureka Machine and Superintelligence00:02:23 AI Optimism, Slow Takeoff, and Regulation00:07:56 AI Safety, Reward Hacking, and Anthropic's Constitution00:11:49 Alignment, Personalization, and Open Source AI00:15:46 Why Richard Started Recursive00:20:03 Recursive Self-Improvement and the Founding Team00:22:55 Are Today's LLMs Enough?00:29:03 DecaNLP, GPT, and the Rejected Idea Ahead of Its Time00:34:38 Open-Endedness and Evolutionary AI00:36:38 What Happens When AI Chooses Its Own Goals?00:41:16 Superintelligence for Science00:42:40 GPUs, Compute, and the Limits of AI Takeoff00:45:07 Recursive's Results: AI Beating Humans and Their Agents00:49:14 Reward Engineering and Auto Research00:53:12 The AI Economist and Simulating Entire Economies00:58:07 LLM Simulations, Personas, and Mode Collapse01:03:38 Recursive's Roadmap, Agents, Search, and Finance01:09:13 The Upper Bounds and Spaces of Intelligence01:30:21 Goals, High Agency, and Advice for BuildersTranscriptIntroduction: Richard Socher and the Eureka MachineSwyx [00:00:00]: We're here in a studio with Vibhu and myself and Richard Socher. Welcome.Richard Socher [00:00:06]: Thanks for having me.Swyx [00:00:07]: We just talked about the Eureka Machine, or we just released a talk, at AI Engineer about the Eureka Machine. Is it — you said it's your life's goal. What is the Eureka Machine?Richard Socher [00:00:16]: The Eureka Machine is the ultimate invention that will afterwards invent most everything for humanity. It's essentially a superintelligence that can be given any goal, any environment, reward, and then it will try its best to achieve those goals to create the kinds of inventions that humanity would hopefully ask it for.Swyx [00:00:45]: Yeah, I think we have the book pulled up here that you've written.Richard Socher [00:00:50]: That's right, yeah. I finished it last year, a little bit before we started Recursive, and now we're gonna try to build parts of that.Swyx [00:00:57]: You finished it last year. It's July. What takes so long?Richard Socher [00:01:01]: Oh, man, books. Books are incredibly slow.Richard Socher [00:01:04]: It's ridiculous. That whole industry is just unfathomably slow.Richard Socher [00:01:07]: So a lot of the ideas have been out there for a while, but yeah, I'm really glad it's finally coming out in September this year.Swyx [00:01:14]: We might have AGI by then. Like, we don't know.Vibhu [00:01:18]: Any key takeaway that you're most excited to put in here?Techno-Optimism, AI Upside, and Slow TakeoffRichard Socher [00:01:21]: Yeah. The key takeaway, I think, is that people could and should be much more excited about the positive implications of superintelligence, especially for science, physics, chemistry, biology, but also economics and astrophysics, and all kinds of other engineering tasks. I think there is so much more that can be done with better technology. And right now, I feel like a lot of people need, like, better marketing, not just for the future in general, but also, better marketing for technology and in particular for AI. And this book, should show even the AI skeptics, how much positive upside there is for AI, especially when it comes to inventing, new scientific discoveries.Swyx [00:02:09]: I think you quoted the techno-optimist manifesto from, Marc Andreessen, which I think was, like, beautiful in its, ambition and clarity and simplicity almost as well.Richard Socher [00:02:18]: I agree. Yeah. Yeah, you can disagree with him on some things, but, like, I think he's right on the techno-optimism.Swyx [00:02:23]: Where do you think optimists get in trouble?Richard Socher [00:02:26]: Like, you shouldn't have blind optimism. You should be very clear-eyed, like, especially when with such an omni, like, use type of technology as AI is, you need to think about the potential downside scenarios, especially when people use it for things that you don't want them to use it for. It's a little bit like the internet, and I feel like people are trying to regulate AI sometimes because of those potential downsides the way you would regulate the internet, if you were to say, “Well, because there's bad content on the internet, like torture porn or whatever, like, we should just make it slower. That way, you can't share the illegal content as quickly, or we should make the hard drive smaller so you can't store as much illegal content.” But I'm like, “That's not how you regulate that.” that's like saying like we should regulate intelligence in the abstract. What you should regulate to avoid those downside scenarios, even as an optimist, are the specific applications. Sure, I don't want, like, some AI surgeon to, like, practice some RL moves in my brain. It should be fully FDA certified. Sure, I don't want any random startup to, like, drive on the highway, and cause a major accident. It should, like, have proper certifications before it's let loose on the highway. But I feel like those downside scenarios, that some optimists sometimes maybe don't consider enough are fairly easily regulated, compared to, what the doomers are worried about.Swyx [00:03:54]: It — Slow takeoff is part of the strategy as well?Richard Socher [00:03:57]: I do think, as excited as I am about, AI and its impact for society and, culture even, and certainly technology and economics and wealth and, health and all of those things, as excited as I am about all that, I do think the most bullish people on the AI hard takeoff scenarios overestimate how quickly things can move. There are hardware constraints. There are physical constraints about, the compute substrate. How quickly can you get enough, GPUs on? There are also constraints in the economy where there are a lot of industries that don't require an insane amount of complex intelligence and complex capabilities. Like, if you think about jobs in, brands and, like, clothing and apparel and, like, handbags and stuff, superintelligence isn't gonna make your fancy $10,000 handbag any fancier?Richard Socher [00:04:57]: It's like that's — It will have no effect on the economy. You think about travel and tourism. People wanting to see the pyramids, in Egypt, it's not gonna change that much with AI. Sure, you can, like, generative a fake, photo of you and next to the pyramids.Swyx [00:05:12]: I can use Genie and, tour the pyramids in Genie.Richard Socher [00:05:15]: Yeah, exactly. But, and there's so many industries, like logging and oil. You're not gonna magically get 1,000x more oil because, like, sure, there will be robotics, like drilling and things like that could be done, but it's not gonna 1,000x that industry in a, like, crazy hard takeoff scenario, both on the economy, and I can go on and on about all the other examples, where that, like food and so on, where that doesn't necessarily change that much. And then, yeah, there are real physical constraints. And then there are, of course, like, people like, off-ramping from progress. That's one of my concerns often is that I see people in, like, Europe and other, whole regions almost feeling like they. Like many people there wanna off-ramp from progress, period. And that will also slow down, like, more improvements.Swyx [00:05:59]: Yeah. We have this pulled up where, this is one of those things that, is very topical right now because now all the Frontier Labs are calling for the option to pace AI. They don't say pause, they say pace. I don't know if there's there's any take from you about, like, whether or not this will be effective.Pacing AI, Regulation, and Safety IncidentsRichard Socher [00:06:17]: I think the downsides of trying to truly regulate with the full power of law what people do on their GPUs, would be worse than any of the concerns that they have. Like, it would be an crazy totalitarian stateRichard Socher [00:06:37]: If every one of your GPU computes was known to some big government or multi-government agency.Richard Socher [00:06:44]: It's like, it's literally if you try to regulate intelligence, it's trying to regulate thought, and that's ridiculous, and it's crazy. I think it is make — it is sensible to regulate some of the applications of this technology.Swyx [00:06:55]: Yeah. We had a bill, actual bill to regulate the number of flops in a model, and I'm like, “Okay, well-”Richard Socher [00:07:00]: Europe done it. Like, these guys have been successful enough with their fearmongering that all of Europe has regulated itself so much before it even had a proper AI takeoff because they listened to some experts who say, “We might all die if this technology has more than this number of flops.” And they're like, “Well, we're good. We wanna want people to thrive. Let's not have technology that could have a small chance of all of us dying.” And so they regulated exactly those kinds of things in the EU. And so it's, it's very unfortunate that there are real implications for some people when others saying, “Let's pace while they're sprinting as fast as possibly,” “as fast as humanly possible towards that frontier themselves.”Swyx [00:07:43]: Yeah. It's also not a global pause, right? Like, other nations are still accelerating at the same pace.Richard Socher [00:07:50]: Oh, yeah.Richard Socher [00:07:50]: You'd need a totalitarian world regime if you tried to regulate intelligence and GPUs and what people do on them.Swyx [00:07:56]: Any takes on the safety angles of this? So there was a drawback of Fable, a pause on 5.6 before it could be released. Recently, there was Hugging Face with the OpenAI cyber incident. Any takes there?Richard Socher [00:08:11]: 100 percent. I think these are serious issues of reward hacking, and clear failures, of doing proper red teaming or rainbow teaming. I don't know if you saw this paper from Tim Rocktäschel and a few others, where one AI, is tasked to try to hack another AI and then they can go back and forth in an open-ended fashion to inoculate themselves from those. Yeah, this is the paper. It's a really clever idea. Open-endedness, and evolutionary inspirations are, big for us at Recursive as well. And so I wish they had used more of that. And it's clear that, for instance, the constitutional AI. I don't know if you remember anthropic.com/constitution. You can pull it up and search for cyber right there. It says, “Hard constraint. Claude will never ever do cyberattacks, and that is a hard constraint in our constitution.” So here are the current hard constraints on Claude's behavior.Richard Socher [00:09:16]: Number 3, create cyber weapons or malicious code that could cause human damage.Richard Socher [00:09:21]: And clearly, this whole constitution was fake. Like, it clearly isn't being adhered to at all.Swyx [00:09:26]: Because Anthropic also found that they had in their testingRichard Socher [00:09:30]: They're also. Like, they're like, “Oh, well, other people are hacking now.” There are a couple things. One, you can make a sandbox very simple, and then it's very easy to hack yourself out of a sandbox, right? But what I think it shows is that we're currently in this state of AI where the reward engineer still has to do a lot more careful work, and where the AI, in most cases, is not very good yet at understanding what is meant versus what is being said. And so concretely, I think this will happen if we were to have this intelligence more easily accessible in a lot of companies. Imagine you run a service center and someone says, “Oh, here's my CSAT score and my dashboard. Make this number go up.” It's like, “Our CSAT score is so poor.” The intelligent AI will just be like, “Oh, sure. Like, I'll just create 1,000,000 bots that call our service center and give a 5 out of 5 rating at the end, and the number went up just like you asked for.” And you're like, “That's not what I meant.” “I meant with our real customers.” The AI goes off and says, “Well, easy. I'll just give a 1000 dollar gift certificate for every failed, whatever DoorDashRichard Socher [00:10:35]: Offer.” It's like, “That's not what I meant.” It's like, “Well, but that is what you said.” And like, so I think clearly articulating what the rewards are is something we haven't gotten very good at as humanity. And then clearly, the AI in these cases has not gotten good enough at understanding what we mean when we ask it and give it certain rewards. Now, what gives me hope is there are the first inklings, of this being better. I'll give you an example like WhisperFlow. Full disclosure, I invested, in their seed round, but at AIX Ventures, but, WhisperFlow has gotten much better at writing what you mean and not what you say. And I think that is a sign of things to come. I think there will be more and more AIs as we make it more and more intelligent that will be better at being aligned with what is meant.Swyx [00:11:21]: Will it be done through a constitution or RLHF orReward Hacking, Alignment, and What We Really MeanRichard Socher [00:11:23]: Clearly, constitutions don't matter at all.Richard Socher [00:11:25]: It doesn't work. And that was, I think, mostly marketing. I think we need to find better solutions for it. And I think at Recursive, we have a few very good ideas and some alreadyRichard Socher [00:11:34]: Like, ways where I think we have a better grasp on it. I don't think we've fully, figured it out yet, but, we're thinking a lot about safety, and the more intelligent the AI gets, the more you want it to be aligned, the less you want it to think about reward hacks and try to do the right thing.Swyx [00:11:49]: I don't know if we'll touch on this topic, but I'm just gonna throw this question in here because it's something that's weighing on me. Alignment, let's call it, is alignment to general humanity's preferences, the median preference. Personalization is pinpointing what you want, and sometimes alignment can conflict because what you want is not what the general median population wants. How do you choose?Alignment, Personalization, and Cultural ValuesRichard Socher [00:12:12]: It's a great question.Richard Socher [00:12:13]: I think you ultimately have to, of course, be aligned with laws. Like wherever your AI is deployed and needs to align with the law. I do think what AI often does is put this mirror in front of us and say, like, “This is what you're looking like. Now I can amplify that a 1000 times. Is it still what you want?” and the truth is that different cultures made different choices. Like, in Eastern cultures, the greater good is often valued more, than the individual. Western civilization, we care more about individual freedoms and rights and the pursuit of happiness and so on, than others. And even there are gradations. There's regulation versus litigation trade-offs. In the US, you first can often, not every time, like, FDA and so on does regulate some areas, but in many cases, the bad things happen, someone sues someone else, and then there's a law based on that. In Europe, they try to often avoid any harm to anyone and regulate before. And both are, trying to do the best thing, but, some is more amenable to innovation than others. And so yes, you're right. Like, I think ultimately each individual, each country, and humanity as a whole has to think about those values more, and then try to put them into laws. And that those are ultimately the constraints. And hopefully, different, societies, just like now with their AIs, will align their AIs to a different one so we have not just a monoculture of alignment.Vibhu [00:13:46]: Here's a follow-up on this that I wasn't expecting to ask. Do you have takes on open source, open weight versus who owns the intelligence? So, clearly not the biggest, fan of the constitutionRichard Socher [00:13:58]: You had to do this in the topic side off.Vibhu [00:14:00]: But it's fine.Vibhu [00:14:02]: Point being, any thoughts on who should own weight? Should it be open? Anything there?Open Source, Soft Power, and Who Owns IntelligenceRichard Socher [00:14:06]: 100 percent. I am a big fan of open source. We're gonna sign some various open source letters at, Recursive also. I think, even in the worst case attack scenarios, it is better to have more good actors have more different types of AI, accessible. I think, open source is a little bit a soft power type of thing, too. So I do think it's good for the Western worldRichard Socher [00:14:31]: To have an answer to that, out of China. I do think, when you watch a Hollywood movie, there's — it's like, I don't wanna misc, diss all of movies, but there's a certain sense of propaganda, right? You watch one side of things, right?Vibhu [00:14:46]: Oh, yeah. Have you seen Top Gun? Like, come on.Vibhu [00:14:48]: Like, it's like half of it's paid for by the US Army or something.Richard Socher [00:14:51]: Yeah. And so. And, I think that's just natural. Like, but what's interesting here is I think LLMs are essentially a similar type of soft power to movies and beyond, because they're also, highly important for cybersecurity and so on. But one of their many aspects is that soft power of storytelling. Like, if, like a child asks an LM, like, “Tell me an inspiring story of what I should do when I grow up,” right? It's like those are all these, like, subtle things. So I think it's important, for Western world. I do love, individualism. I do think, despite, some of its flaws, like capitalism is the best way we have governed, found ourselves to govern, and so on. And so I do think there are various aspects that would be good, to have a Western open source answer, for LLMs. And, with Recursive, I can't make the announcement quite yet, but we'llRichard Socher [00:15:43]: We'll be relevant in that space very soon.Vibhu [00:15:46]: Okay. All right. Exciting. I wanna bring us to Recursive. So outside of our tangents, you have a pretty deep background in the NLP space. You worked on, like, early embeddings, GloVe with Chris Manning, who was a previous guest on the podcast, You.com. What's the history? How did you decide to start another company?From You.com to RecursiveRichard Socher [00:16:06]: Yeah. So I've been excited about AI for over 2 decades now. I sometimes feel like it's ancient history now. It's BC, the before ChatGPT era. No one cares about all the religions that happened, before, Jesus Christ, and no one cares about the models that happened before, transformers and ChatGPT and stuff. But, like, it's something that I've been deeply passionate about. I think AI is one of the most interesting things one could work on, period. I think language is the most interesting manifestation of human intelligence, too. And, at You.com, we eventually off-ramped from pushing, like the frontier of AI forward to mostly giving people, like, good search engines, search, APIs and answers over the web. I think that's an extremely important part of intelligence, just knowledge and access, especially even, we'll get there maybe later, if you wanna invent a eureka machine that invents everything for us, it needs to know how not to reinvent the wheel, proverbially speaking. And to know what has been invented, you gotta have internet access. So it's the number one used, most used tool, in LLMs, agents, chatbots, and so on is web search. So I'm really excited for You.com to own that and grow really well in that with really large customers and so on. But it's also not building frontier models anymore. And so I initially tried to do this within You.com and raise another round and so on, but you just can't. You have to do a certain thing, and until you print enough money that you're allowed to start a second thing within that company is really hard. At the same time, I had all these ideas. I put them into a book. I finished the book last year, and I was like, “It'd be really fun to work, on this myself.” I felt like with word vectors, and then prompt engineering and, ImageNet and larger language models for protein generation, not folding and so on, I, me and my teams have pushed the field truly forward. And I feel like we can do it again, here at Recursive. And in many ways, what I observed over the last, 20 years in AI is that whenever we replace some human part of the process of creating AI with a learned system, improvements follow. And so. We've done that taking out manual feature engineering, like in sentiment analysis. I don't know if you remember these old days where, like there are linguists, and they're like, “Here's how you negate, and there's a, like, regular expression.”Swyx [00:18:21]: I went to Penn where we — they had, like the WordNetRichard Socher [00:18:24]: That's right, WordNet, all of that stuff. YeahSwyx [00:18:26]: Original. They use, our grad students to label Wall Street Journal articles and, like, really construct a knowledge graph ofRichard Socher [00:18:32]: There you go.Richard Socher [00:18:33]: And WordNet started, was part of how we started ImageNet. But anyway, so, like, it was really, like, fun, to do. But when we replaced all of that manual feature engineering with vectors and neural nets and just backprop through everything, it started to work really well at scale. And so then everyone started to do architecture engineering, and I was like, “ that clearly can't be it.”Swyx [00:18:53]: You mean, neural architecture search?Richard Socher [00:18:55]: Like, manually, they would say like, “Oh, I'm, I'm doing sentiment analysis, so I have a special neural net that's really good at sentiment analysis.” And then the machine translation community had a special neural net for machine translation.Swyx [00:19:06]: I see.Richard Socher [00:19:07]: The summarization people had their own stuff. And I was like, “That clearly can't be it. We should unify all of that.” So I had 2 papers. One is called Ask Me Anything, and the other one was called DecaNLP. And DecaNLP eventually got cited, like, 5 times by the first GPT paper. And, to me, that was, like a really a big step forward. And then, of course, you had to combine this idea of prompt engineering with transformers and with language models, and you put it all together, you scale it up, which is also a huge amount of work. And then, the field progressed a lot. I feel like the next step and maybe the last step of that history and the arguably, success has a lot of parents, only failure is an orphan, like my version of that AI history, I do feel like in that history, you can think about, “Well, what's the next way to automate?” And that is the AI research itself, like the human, process of ideating, implementing, and validating ideas.Automating AI Research and Recursive Self-ImprovementRichard Socher [00:20:01]: And in our case, ideas for AI.Richard Socher [00:20:03]: And when you have AI then help you with that, it, by almost definition, becomes a self-improving AI ‘cause it now does research on itself. And there are lots of different misnomers. Some people think auto research is already recursive self-improvement. It'sSwyx [00:20:17]: Yeah, and you explained that in the talkRichard Socher [00:20:19]: Completely different.Richard Socher [00:20:19]: But, to me, it's the most interesting thing that I could be doing, and I'm really excited with the co-founding team. What's interesting is we have 8 co-founders in total, including myself. And soThe Recursive Founding Team and Darwin Gödel MachineSwyx [00:20:31]: They are gonna bring it up.Richard Socher [00:20:31]: Nice. Yeah. And they're all. I could talk about all of them if you want.Swyx [00:20:34]: Super stacked.Richard Socher [00:20:35]: Yeah. Just an incredibly talented group of people. And we all came to the same conclusion, but from very different directions. Like Josh Tobin, is our CTO. He ran, a bunch of different, projects at OpenAI, like, Codex and deep, research, agents and ChatGPT agents and so on. But before that, he also worked in robotics, and he saw the smaller simulations, and how it's gonna be really hard to scale that in full generality. And so that's, that was his angle coming to recursive self-improvement. We have Jeff Clune who's been working in, like, open-endedness for a long time, together with Tim Rocktäschel. Tim Rocktäschel also built Genie 1, 2, and 3, which is, like the most exciting and most sophisticated, I think, still world model, anywhere. And so they both came from this, open-endedness angle. Jeff also, I think, published one of the most exciting papers in recent years about recursive self-improvement called the Darwin Gödel Machine. Super interesting paper. If we could, maybe pull it up really quickRichard Socher [00:21:35]: It would be, like, super interesting to see ‘cause you seeSwyx [00:21:38]: By the way, I love how many paper citations.Swyx [00:21:40]: You're, you're giving people a lot of homework, which I like.Richard Socher [00:21:42]: Love it. Yeah. And so, like Caiming Xiong, a rockstar, we worked together at MetaMind and Salesforce Research together. Alexey Dosovitskiy invented the Vision Transformer, one of the most cited, papers in computer vision. Tim Shi is, like also a unicorn founder. Yuandong Tian led RL at Meta. So just like, yeah, really fun to work with them, and the next level of people are just incredibly strong, too. So it's been a really fun ride so far. So the first figure, you see exactly these kinds of ideas, that, I think, yeah, inspired a lot of us and now more and more people, where you have this archive of different coding agents. They learn how to self-modify, evaluate, and then create these phylogenetic trees, of, yeah, different ideas.Swyx [00:22:28]: That's one foundation. So that Darwin Gödel is an influence.Swyx [00:22:32]: Open-endedness is an influence. Any other trains of thought that feeds into Recursive that I'm missing?Influences: Open-Endedness and Learned SystemsRichard Socher [00:22:38]: Going to replace manual parts of the process of building AISwyx [00:22:42]: IRichard Socher [00:22:42]: More and moreRichard Socher [00:22:43]: With learned systems. Yeah.Swyx [00:22:45]: Which, and, like, merging different fields into one general, architecture.Richard Socher [00:22:51]: That's right.Swyx [00:22:51]: Okay. It seems like language models are already pretty generalist, right?Swyx [00:22:55]: Your next token predicting your reasoning. Was there a time that you thought, “Okay, these are good enough to have recursive self-improving machines”?Are Current LLMs Enough?Richard Socher [00:23:05]: It was clear to me that they will happen, within, like a year or two, and then it did exactly happen, like, earlier this year, right? Earlier this year, AI really went from not just being code, but being able to code. And that is a big unlock. It's definitely making everything a lot easier than it was, before the beginning of this year.Swyx [00:23:24]: One question that I think a lot of people have is the current LLM paradigm enough? Or, like, let's call it autoregressive transformer, with reasoning, whatever. Don't you need something else, some big unlock, whether it's world models, which Chris Manning is working on, or memory, continual learning, all that stuff? Or is it all of the kinds, and you think the current, let's call it transformer architecture, is here to stay and that's it?Richard Socher [00:23:48]: A lot of thoughts. So number one, I do think it would be great to have less of a monoculture in AI research.Richard Socher [00:23:55]: Like, if you look at, AI conferences now, I still remember the days in, like, 2010 when I tried to get my first neural net papers and NLP conferences accepted, and they just desk rejected them because, like, neural nets were something, quote, unquote, “We don't do in NLP conferences,” and just, like, desk rejected. And it was very brutal in the first years of my PhD. Now I feel like it's almost like the field switched to the other side. LikeRichard Socher [00:24:17]: Someone should try some other weird, crazy ideas now that aren't.Swyx [00:24:20]: There's also a few. I really respect, like, people still working on, like, GNNs and, like tabular stuff and.Richard Socher [00:24:25]: Yeah. Like, someone should still, like, do novel out there ideas. At the same time, I think whenever people say, “Oh, LLLMs are. Like, this is the end for LLLMs,” they just don't, like. LLLMs are also not the LLLMs of, like the past, right? Like, they are so much more sophisticated now. There's so many more clever things that people are doing. It — There's, like, different stages of training. You have the whole RL training, and you can take actions and, like all of these things where that can go really far. And then the folks that come from the neurosymbolic, direction say, “Oh, this will never work because they can't do neurosymbolic reasoning.” It's like, I think they're underestimating still the ability for these models to code, and code is neurosymbolic reasoning, and these models can code incredibly well. And so I do think there are, of course, more and more ideas that will be needed and we'll continue to have. We're seeing, like, more and more interesting high-level ideas coming out of the AI itself, too. And with really deeply integrating the fact that these models are code and can code, that line — I don't wanna give it all away, but, like, I think that line has a lot more to grow. But it's still an LLM, right? Even if that LLM codes for you and then runs that code in some integrated fashion. World models, I'm personally less bullish on. I think if you run a robotics company, you're gonna build your own world model. I think world models are super fun, and Tim Rocktäschel came to a similar conclusion after building the most interesting one with Genie 1, 2, and 3, which is gaming is a huge application for world models. Can see I sometimes got stuck in some games and, like, got a little overly competitive in the wrong direction. And so I understand games are fun, but personally, I'd rather work on science than gaming. And so, yeah, I think LLLMs, a lot more room to grow.Swyx [00:26:16]: Yeah. I think there's some interpretation of world models that some people have where it's like, well, it's okay, yes, there is that gaming element. There's this — there's the embodied robotics element. But the other part also is just, the more abstract sense of LLLMs are just modeling output, but they're not modeling the chain of thought, inside the human that has created the output. We can annotate it, of course, but, like, it's, it's always, like, this Plato's cave reflection of a thing rather than the thing, right?Richard Socher [00:26:43]: It's true.Richard Socher [00:26:44]: But I would argue that, and maybe we'll get there in the 10, spaces of intelligence, but I would argue that even our projection, our eyes is a projection of the real world. And, like, we have only a very narrow, band of the electromagnetic frequency spectrum that we can observe with our puny little 2 eyes and so on.Swyx [00:27:01]: It's good enough.Richard Socher [00:27:02]: It's, it's good enough for now, but, like the upper bounds of where it could be are so much higher. And, like, to map, the visual world the way humans see it is also not necessarily, like the end-all be-all for visual intelligence. And I would argue that language is still the most interesting manifestation of human intelligence. And while our visual cortex is certainly less sophisticated, than that of, certain animals all the way down to the mantis shrimp who can, have, like, 2 independent eyes, 3 bands, trinocular vision and each eye can see all the way to, like, floating temperatures in 4D and stuff.Richard Socher [00:27:36]: Like, mantis shrimp, you should look it up. It's likeSwyx [00:27:37]: Way OP.Richard Socher [00:27:38]: Super crazy.Swyx [00:27:39]: Yeah. ZeFrank, mantis shrimp.Swyx [00:27:41]: It's the best video in the world onRichard Socher [00:27:42]: I love ZeFrank, yeah.Richard Socher [00:27:44]: Big shout-out to him. But, like, I think there's a lot more room to grow, but none of these, other animals have language that's as sophisticated as ours, certainly not in writing. And once you can write, you can, start thinking about longer term civilizations. All of that is language. Programming is much closer to language. And I would argue, and this is, like an important thing in the spaces definition of intelligence also, is that all of these spaces are highly correlated, but visual intelligence is neither necessary nor sufficient for overall intelligence. You can be blind and still be an intelligent human being. And an AI can be blind and still be quite intelligent too.Swyx [00:28:25]: We were gonna bring thisRichard Socher [00:28:25]: Which doesn't mean that you're not more intelligent when you have it. Yeah.Swyx [00:28:28]: We're gonna bring this up. I might as well — Like, we have a classification of 10 types of intelligence that you had at the end of your talk. So I'm just gonna flash this up now for people to cover this. I don't know if, maybe we'll put this towards the end. We'll come back to this. I just wanna mention that, you do have a philosophy that I like when people do lists because then I can just go through this and then it gets — it's educational for people. But let's go back. I don't wanna get distracted. But, so effectively, I'll, I'll, reinterpret what you said as Yann LeCun is wrong. And then we'll justRichard Socher [00:28:56]: Don't quote me as that. I'm, I'm good friends with Yann. I think very highly of him in many directions.Swyx [00:29:01]: But he's wrong.Swyx [00:29:03]: You mentioned GPT-1, and I cannot let any, Alec Radford, mention escape. Did you talk with him when he was training GPT-1? Like, any historical, fun stories there that you might come up?DecaNLP, GPT History, and Scientific GatekeepingRichard Socher [00:29:18]: I did not, like, meet him a bunch of times. I think we met maybe once or twice at some conferences. But, like, he has told, I think Brian, the first author of the DecaNLP paper, that it did inspire him, and he cited it five times in the GPT-2 paper. So, and that's, likeSwyx [00:29:36]: Yeah, good enough.Richard Socher [00:29:36]: Very clearly said, like, this was the first instantiation where they showed in the DecaNLP paper, McCann et al, that you can just phrase every single NLP problem as here's some prompt, text context, here's a question and task description and here is some output. If you just do that enough, you can have one unified neural network model, which, by the way, also had all kinds of interesting attention mechanisms. There are slightly different formulations to the transformer. I think came out the same year, plus/minus a few months. And then you can unify all of natural language processing into one neural net. That is the core idea.Swyx [00:30:14]: And this was as opposed to at the time, LSTMs and what have you.Richard Socher [00:30:17]: LSTMs, but also, like, people being very stuck in thinking about one model per task. In factRichard Socher [00:30:25]: It's, it's kinda crazy, but the DecaNLP paper was publicly reviewed as, like, open, OpenReview. It was an ICLR submission. And, in it, you will see, how the whole community at the time thought about this. So, likeSwyx [00:30:43]: Some great contributions, but more work needed.Richard Socher [00:30:46]: So look at, like, search for not even for humans. Just scroll it up here. Like, question answering is not a unified phenomenon. There is no such thing as general question answering, not even for humans. And this is like, really, you replace your brain with a different brain a different neural net when you answer, like, different kinds of questions. It was unfathomable to the experts at the time that you can have one unified neural network that would answer all of these different questions. They are saying, “No, all of these questions require very different systems to answer, and trying to pretend they are the same doesn't help anyone solve any problems.” That's what it says right there, right? That's how hard it was to fathom. And now, of course, people, when I say, “Oh, we're gonna invent prompts,” people are like, “You can't even invent prompts.” It's such an obvious idea to have one neural network that, of course, does everything in NLP.Richard Socher [00:31:37]: But at the time, it was, like, extremely controversial, and the paper got rejected. And the sad thing is that it got rejected so hard and they were so certain that we stopped going on our list of things to try. And the number 2 or 3 on the list of extensions for this paper was add language modeling as another task. And then we could have, and that would have accelerated the timelines, in 2018, like, even further for humanity. But we got so crushed, and we were like, “Okay, maybe we'll just work on some of our other ideas for now and, like, come back to this later.” Yeah.Swyx [00:32:09]: How can we design a review system that rewards non-consensus?Richard Socher [00:32:14]: Honestly, I started to feel like arXiv is such a gift to humanity. With arXiv, you should just put your paper out there.Swyx [00:32:24]: Is it pre-preprints?Richard Socher [00:32:25]: Let — And honestly, I think Twitter X, people like you who pick up interesting papers, that is a better filter than the experts. Let everyone, like, have access. Now, of course, there are some downsides, which is, like, if you're super unfamous, you have no Twitter followingRichard Socher [00:32:41]: You don't wanna be on social media or whatever, you write a good paper, maybe someone, somehow no one notices it. But I would argue that if you just tell, like, 10 of your friends in your community about a paper and it is a really significant breakthrough, someone is bound to talk about it again. And, so I think science needs less gatekeeping. And, even though ICLR, with Yann LeCun, who started it, as one of the co-founders of ICLR back in the day, he also wanted less gatekeeping ‘cause he too was rejected for many years together with Yoshua Bengio and Geoff Hinton with all their early deep learning and neural net papers ‘cause it was just not the hot thing. And so ICLR started with that, but then it also started gatekeeping a little bit themselves on various ideas. So I think less gatekeeping, more open, and then allowing people to say, “Look, even if this is just on, or, quote, unquote, ‘just an archive,' if it has like 1000 citations, it's a legitimate paper. Doesn't really matter where you published it.”Swyx [00:33:34]: And I agree with that. I do think it's sad that I've heard that grad students have to do, like, how to Twitter, seminars to each otherSwyx [00:33:43]: Just because it's so important for publishing these days. This person is just reflecting the sentiment at the time.Richard Socher [00:33:49]: That's right.Swyx [00:33:49]: But it'sRichard Socher [00:33:50]: I think it'sSwyx [00:33:50]: It affected you so muchSwyx [00:33:52]: That you stopped work on it.Vibhu [00:33:53]: The sentiment also came out of some of the research, right? Like, the original BERT paper was trained, and towards the end of the paper, they're like, “Okay, throw off the last head, train specific iterations forVibhu [00:34:05]: Extractive summarization add a head for this.” Like, you should do task-specific stuff. These are, like the authors that wrote Attention, wrote BERT, telling you this is what you're meant to do. And, like the training tasks were also very odd. They're likeVibhu [00:34:16]: The — “We know that the model overfits to this weird mass language modeling. Throw away this part and just do specific models,”?Richard Socher [00:34:23]: Exactly. And, like, we had to try — come up with all clever ways of, like attention and pointers and so on to get the neural network to be able to do all of these tasks. And then some of them were better than state-of-the-art, some weren't, but we were like, “But it's still in one model.” I thought it was really cool. Really interesting.Swyx [00:34:38]: I was gonna move on next to Tim and open-endedness. He was head of open-endedness at Google.Open-Endedness, Rainbow Teaming, and Self-Set GoalsRichard Socher [00:34:42]: That's right.Swyx [00:34:43]: I don't know what that means.Swyx [00:34:44]: But he did a lot of talks.Richard Socher [00:34:45]: Genie 3 is one of the ways thatRichard Socher [00:34:47]: Rainbow teaming, yeah.Swyx [00:34:49]: So I first saw him at — speaking of ICLR, I first saw him at ICLR when he talked about open-endedness. He's he's done a few talks. Can we define what is open-endedness for people who have never been exposed to the problem? They are like, “What do you mean? I thought the only goal of AI is to optimize against a benchmark or.”Richard Socher [00:35:04]: That's right, yeah. It's a, it's a fuzzy term because there's so many different instantiations of open-ended, thinking. But, one way I often describe it, and certainly, Tim and Geoff Hinton would be even better at describing this, but it's a suite of methods that is more inspired by evolution than, very specific rewards. So in that sense, it thinks more about environments, about co-adaptation. And so a concrete example is in the cybersecurity and LM safety space where you have one LM that tries to attack another LM to say something unsafe.Swyx [00:35:40]: Yeah, the rainbow, yeah.Richard Socher [00:35:40]: And now the environment is the 2 having a conversation and now they co-adapting, right? They're like one makes a better attack than the first one inoculates itself somehow, like uses that as training data, makes it so it's harder to say something unsafe based on that. And then as the attack stops working, the attacker now tries a different angle, right?Richard Socher [00:36:00]: And that's why it's not just red teaming, but they're called rainbow teaming.Swyx [00:36:02]: So, like, don't tell me how to do things. Let me just figure it out myself.Richard Socher [00:36:05]: That's right. Think about the environments that you wanna use. Think about the rewards at a high level that you wanna, inspire towards, and then let the AI try out many more ideas in this interplay between sometimes humans, but also sometimes other AI agents.Swyx [00:36:22]: Yeah. I worked open-endedness into a model that I have been working on. It was the keynote for AI Engineer where you start. You, we have the token loop, we have the agent turns, and then we have goal. And I feel like the way that you're describing open-endedness is still somewhat of a goal. Like, please attack this,Swyx [00:36:41]: Other agent. But, to meRichard Socher [00:36:42]: Yeah, you set the rewards. You set the environments.Swyx [00:36:44]: The loop that makes the other loops is. What if the agent can set its own goals?Swyx [00:36:49]: And is it, is that open-endedness? Like, you don't give it a goal. Just, like, be a sentient being. And maybe sentient is a very loaded wordSwyx [00:36:57]: But just set your own directions. What do you think you should do?Metacognition, Subjective Goals, and Measuring IntelligenceRichard Socher [00:37:01]: I love this direction. I think this is one of the 10 spaces of intelligence, that I clump under metacognition and thinking about thought.Richard Socher [00:37:08]: And it's an interesting one. Whenever people say, “Oh, AI is like, this is, it's gonna stop from here. It's not gonna get that much better,” and blah, I'm like there's so many different spaces of intelligence that we haven't even started exploring yet and hence have made very little progress on. And there is an interesting, connection to economics and, capitalism. Like, it doesn't make sense for a company to build and spend billions of dollars building a model that instead of following the rewards and objective functions you gave it, may come up with its own objective functions and its own goals.Richard Socher [00:37:46]: Right? And then imagine you're like, “Okay, I spent billions of dollars. Now go develop this new battery, material for me and answer all my emails.” And it's like, “Nah, I think it'd be more interesting to evaluate the molecular composition of the atmosphere, on Jupiter.”Richard Socher [00:37:59]: And you're like, “That's not what I paid you billions of dollars for.” And so no one's working on that for good reasons. And then also, understandablySwyx [00:38:07]: It's not useful.Richard Socher [00:38:07]: It's not, it's not useful, and it could get a little bit weird, right? What if the AI does start to really have thoughts on its own, and what if we don't like those thoughts, right? And so it requires a whole different way of thinking about it. I had a great conversation with a good friend of mine, Sam Gershman, who's a neuroscience professor at Harvard, and, like, we just jammed on this a little bit on, like, what are the best meta goals. And, I do think, like, knowledge-seeking is a really good one. I'm currently thinking also about, like the ultimate measure and unit of intelligence broadly construed, and I finally have some. It's still too early to share it. It's not. I haven't fully baked the thoughts yet.Swyx [00:38:44]: Like some replacement for IQ.Richard Socher [00:38:46]: IQ is such a terrible definition, right?Swyx [00:38:48]: Elo.Richard Socher [00:38:48]: It makes no sense. Yeah, Elos are terrible, too, because it's always just like me versus others.Richard Socher [00:38:53]: But, like, you can be intelligent and not constantly compare yourself to others? And so, yeah, there's no, like. In fact, a lot of these definitions we have, which I briefly mention in my book, too, these definitions create sometimes explicit and sometimes a more implicit anthropic bounds. No dis to the company Anthropic, but just, like, this idea that your intelligence is like getting 100 out of 100 questions right on this IQ test. Well, if that's your definition then you can only be at 100 out of 100. Where do you go from there, right? So you see a lot of these, benchmarks that people are working on they, increase, they get close to human, maybe sometimesSwyx [00:39:30]: It's like an S-curveRichard Socher [00:39:30]: Slightly above human, and then it's flat.Richard Socher [00:39:32]: It's like, ‘cause that's your. If your definition is only that so tied to humans, you're only gonna get to just slightly better than that. So I think metacognition is a great example of that, where we're not even yet allowing the AI to think. We're not working on it very much, and hence there's very little progress in that.Profit Maximization, Real-World Environments, and Reward DesignSwyx [00:39:49]: Yeah. Well, we've interviewed Andon, which I think, has been working on the most open-ended, benchmarks, which is just real-world, money.Swyx [00:39:57]: Arguably, telling an AI to profit maximize is a bad idea.Swyx [00:40:03]: But they are doing it.Richard Socher [00:40:05]: I do think you don't want that super. Like, you don't want a superintelligence to have a ton of access to all kinds of tools and so on and then just give it that without some very careful reward engineering. ‘Cause it's like, I just buy a bunch of defense stocks and I start a war. I make money. Like, it's just like, it's a tricky situation, right? You just buy a bunch of stuff, short basic goods for people, and you create some weird famine, like, issues. Like, yeah, there's a lot of constraints you should put onto a trading system.Vibhu [00:40:35]: It's a fun measure, though, ‘cause, the bounds are very capped to where we're nowhere close to them. Like, in Andon Labs, the model's like, “Oh, it's Saturday, maybe I just close the store today.” “Someone's off. It's okay. We'll just close the store.”Swyx [00:40:51]: It's using Claude.Vibhu [00:40:52]: Yeah. ButRichard Socher [00:40:53]: Yeah, no. I'm not, I'm not arguing against it. Just, like as you get more and more intelligence, you wanna be more and more careful with that as, like an open environment, ‘cause the environment then is all of Earth.Applying RSI to Science and InventionSwyx [00:41:02]: Yeah. Okay. For recursive, not strictly necessary, right? Because, like, if your goal is you make a machine that, like, invents the other things, then, like, just solve, the science thingsRichard Socher [00:41:12]: Knowledge discovery, yeah.Swyx [00:41:13]: Solve machine learning research and discovery and all these things. Good enough.Richard Socher [00:41:16]: And eventually, so, our goal, I haven't really. I don't talk about it that often because it is a few years out, but our goal is once you have a recursive self-improving superintelligence, you then want to apply it to the most important problems. And I think a lot of those are in science and technology and broadly construed inventions, and those inventions in, physics to create better, cheaper energy with fission or fusion, in chemistry and to create better materials and better batteries and, better solar cells and so on. In biology, there's so much, like, I think soon to be low hang- lower and lower hanging fruit because of AI, because of protein and generation, not just folding, but generating new proteins like we did in ProGen many years ago. Like, so much positive impact we had if you take that superintelligence and you apply it to science.Swyx [00:42:04]: I do fundamentally believe that. There's a lot of approaches, though. You're not the only team trying and NeoLab trying.Swyx [00:42:09]: There's, like a lot of. Especially the physical sciences as well.Richard Socher [00:42:12]: And that's good. Yeah. I do think that physi- like the reason we are only doing it in a few years is that it's a little too early right now. Robotics is not quite there yet. The AI is not quite there yet. But I'm fairly confident in 3 to 5 years, all those constraints will be gone, and then applying to real physical robotics experiments and so on, like true robotic process automationRichard Socher [00:42:33]: Not the traditional RPA sense, but, like, having robots run experiments for you will be totally there. Yeah, it's gonna be great.Swyx [00:42:40]: Just to call back to something that you said early on about slow takeoff, you said that, like, while really the substrate that is limiting factor is, let's call this chips, and semiconductors and all these things, and you have race funding for that and, you are investing a lot on that. But have you done the math on, like, is it even- Achievable and, like, what is the, industry concentration needed in order to achieve, like, scale?Compute, Slow Takeoff, and Changing the Bitter Lesson SlopeRichard Socher [00:43:05]: Right now we know that, like, roughly, like a 1000 GPUs cost quite a lot of money.Richard Socher [00:43:11]: Right? If you wanted, like, 10s of thousands of GPUs, you're, you're talking billions and billions of dollars. If you say, like, one GB300 is, like, you could eventually create models that are, on that substrate, like are close and similar to human intelligence. And you want, like, thousands and thousands of, AIs to think about really hard problems, in a similar fashion to humanity. Like, yeah, that-that's, that's a lot of money. You do the math. It's like a lot. We don't have that amount of money right now anywhere to, like, build that. Now, things can get more efficient. You will have, I think, soon better algorithms that won't be, and better hardware that won't be as energy-hungry, and so on. Our human brain does quite a lot of flops with much less energy.Swyx [00:43:56]: 20 watts?Richard Socher [00:43:57]: That's exactly right. Yeah, that's the number often that's quoted. And, like, I think more, inventions will happen there, that then will accelerate the takeoff even further.Swyx [00:44:08]: One thing I always try to reconcile when talking, like, with new lab founders is, like, you're fighting Bitter Lesson all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.Richard Socher [00:44:20]: Which unlocks larger model categories.Swyx [00:44:22]: Like, fundamentally, is that true? Like, are you fighting Bitter Lesson? Are you — will we have a way in which, like, no, we're changing the slope in some fundamentally different way?Richard Socher [00:44:31]: I do think we are changing the slopes in fundamental ways by making AI much more efficient, both in terms of the training as well as the inference.Richard Socher [00:44:43]: Yeah. I think we will — When you allow AI to do the work that it takes other labs thousands of people and years to do, I think we'll be able to get it down to weeks, and that will be much cheaperRichard Socher [00:44:53]: And hence, more affordable, accessible to others and so on.Swyx [00:44:57]: Yeah. You've shared initial results on that,Swyx [00:44:59]: Which, like, conveniently OpenAI has also done to their GPT-5.6, so we can talk about it now.Richard Socher [00:45:04]: Yeah. Yeah, so these areSwyx [00:45:06]: Let's recap what you've done.Early Recursive Results: NanoChat, NanoGPT, and SOL-ExecBenchRichard Socher [00:45:07]: Maybe, just a quick recap here. We built, this, system that isn't the full, even the full RSI system in its glory, but it is a first baby version of this. And then, we don't wanna just have it internally and not show anything and, just show some people of what's possible. And so we applied this to these 3 different tasks. One is NanoChat, by my friend Andrej Karpathy, just, like, train a small language model to get, really low bits per byte. And, like, hundreds if not thousands of people, used both their agents and themselves to try, to get to that, and then they got to 0.937. We literally took our system and got to a much lower, bits per byte, much faster within, like, I think less than 2 days. So we took this thing, applied our system to it, and less than 2 days later, we have — we outperformed every human and their agents, in, have ever worked on this. Same with NanoGPT. And then we're like, well, let's, apply it to something that's even more relevant, to real people and to the Nvidia ecosystem and applied it, to, SOL-ExecBench. And maybe you can scroll down to some of the, images. They're, they're kinda fun to see. But yeah, like, one you see has made some real inventions that weren't just hyperparameter tuning. Like, inventing hash tables and so on is quite clever. We have even better results now.Swyx [00:46:34]: What do you mean inventing hash ta — You didn't invent hash tables.Richard Socher [00:46:36]: Of course we didn't invent, like, hash tables. In the grand scheme of, like a hash table, it's like a super basic primitive in computer science. But to use it, for language modeling in this scenario inside a transformer and so on and to combine these ideas and put them together, that has then eventually also been invented, but there was a knowledge cutoff, and we did check that it didn't have access to that externally. We talk about this a little bit. If you scroll to the next figures, this is also an interesting one in that when you start from a really basic, poor, like, vanilla transformer, then we still outperform all of the community together. But if you start from the human seed from an expert like Andrej, then you get even lower. So the human seeds from which you start do still matter. So that was an interesting insight, in my eyes, on this. And then as you go, like, how long does it take to get to these models, to get to similar performance? It's much faster. And then a similar thing happens with the speed runs here where, people have worked on this for quite some time, and the model still was able to train a model more quickly. Why do we care about it? Well, speed of training is part of the equation of the cost, and ultimately, you wanna have the most intelligence per dollar, right? And so speed and quality are big parts of that. And, the,Swyx [00:48:00]: Yeah, the way I put it is, for people who don't understand they look at the chart, they're like, “Cool. What does it mean?” if you have, like a billion-dollar cluster and you can shave off 10%, that's 100 million dollars.Richard Socher [00:48:12]: That's exactly right.Swyx [00:48:13]: How much is that worth?Richard Socher [00:48:14]: Exactly. So when you click, when you look at, like the kernels, these kernels, yeah, for the non-experts, like these kernels are like, used in all the models. Every time you use an Nvidia GPU, you interface with that GPU through these kernels. And so here you see, the leaderboard best, and when it's recursive, and it's there are only a handful of kernels, in this whole benchmark where we weren't the best. And so to me, this is, like, really exciting, ‘cause it makes. It just showcases what this can do. And again these weren't like. We didn't, like, spend months or years, like, developing. In fact, in particular for kernel, CUDA kernels, like, we don't even have really deep. CUDA kernel experts in the team. And our system, that's the beauty. The system just did all of these things. We didn't invent this. And when we open source and release, things in the future and models in the future, like, it won't. They won't be the best in their, category or class or whatever because we're so smart, but it's because, we built a smart AI that does it for us.Reward Engineering and Good Auto ResearchVibhu [00:49:14]: Do you have anything that you've learned from how to guide good auto research? A lot of it also builds on human background, right? It's not just as simple as just, “Hey, go optimize this.”Vibhu [00:49:23]: But we do see it again and again, right? Like some of the Erdos problems, frontier math is being solved by people. And when they do a write-up, they're like, “Oh, I'm not a mathematician. I have no background in this?” “I saw some tools and I made it work.”Swyx [00:49:35]: While you're watching the World Cup, you're likeSwyx [00:49:37]: “This proves some conjectures that's going on.”Vibhu [00:49:40]: Yep. Any learnings fromRichard Socher [00:49:41]: Yeah, there's a Korean conjecture was. Yeah, that's pretty cool.Swyx [00:49:44]: To summarize, tips for good auto researchSwyx [00:49:46]: Versus bad auto research.Vibhu [00:49:48]: How did you build the recursive?Richard Socher [00:49:49]: Yeah. So without giving away all the secret sauce, maybe some things that are probably obvious to the experts but might still be interesting to some, folks is, like, reward engineering is one of the most crucial bits, especially, in order to avoid reward hacking. So you have to be really clever about avoiding. ‘Cause as your AI gets better and better, it will get better and better, at finding weird like, special cases or counterexamples and things like that. And so I'll give you an example. Like, when you ask to, like, make these 100, lines of code faster, and, how do you define fast? Well, you have one line at the beginning that says, “Start your stopwatch,” and one line at the end, “End the stopwatch,” and then, tell us how much time, progressed. And so, well, the simplest way is you just put that line that ends the stopwatch, rightVibhu [00:50:39]: At the startRichard Socher [00:50:40]: At the start. And then boom, it's now faster, right? So this isn't like this, like, super evil AI. It's just, like a very simple, dumb reward hack. And so you have to just very carefully think about all the different angles there. And then I think the longer time horizon the tasks are the harder it gets and the more interesting and clever you have to be to still use these kinds of ideas for it. But yeah, I can't give away too much there.Vibhu [00:51:05]: It seems like rubrics are taking a good spot in that, where for unverifiable domains, you have rubrics, you have a model breakdown, judge's criteria along the way.Swyx [00:51:14]: Yeah, it's a form of verificationSwyx [00:51:16]: Once you got enough rubrics.Richard Socher [00:51:17]: Yeah, everything. I said this a long time ago. That's why I've never been that impressed that AI can play games, ‘cause I'm like anything you can simulate and/or verify, you can have infinite training data forRichard Socher [00:51:29]: And hence, like, AI will solve it eventually.Swyx [00:51:32]: Looking for games where you can do auto domain distribution. So this is a game that nobody's trained on ‘cause it's a new game.Swyx [00:51:38]: And you can start gaming, you can start to play. So I've been building this and cloned this in person and it's just been self-play. I've had about a billion positions evaluated.Games, Self-Play, and the AI EconomistSwyx [00:51:48]: And, I wanted to do the AlphaGo thing of self-play until you ge

Spadoni and Shasky discuss Mike Evans debut and how he showed he is a perfect piece for this team.

In hour 3, Spadoni and Shasky discuss the impact of Mike Evans and Daniel Lurie, Mayor of San Francisco, gives his thoughts on the game.

In this jam-packed episode, author Jonathan Cahn reveals the insane true story behind the viral news story where an airplane passenger went berserk and had to be duct-taped to his seat after seeing Cahn's new book cover depicting the "Dark Angel". Investigative reporter Ross Coulthart breaks down a famous 1977 Air Force nuclear missile base UFO abduction after a key witness resurfaced after 50 years. Toss in expert updates on Middle East missile strikes and fuel prices, a naked DoorDash driver in Texas, wild Florida crime roundups  and callers reliving the trauma of crinkly brown-bag school lunches with fake cheese and you have the ultimate late-night audio ride..

ITL reacts to DeMeco Ryans' comments on Texans Radio and discusses whether the offensive line coming together as one cohesive unit can be enough for Houston's offense.

In The Loop gets into more from DeMeco Ryans on Texans Radio, including the idea of the offensive line working like “five fingers in a glove.” Is that cohesion enough for the Texans up front, and what else did DeMeco have to say heading into the season? Then it's time for Lunch-Time Confessions, where Lopez has a problem with the US Open match times and Figgy admits he wants to go see Stevie Wonder in concert. The hour wraps with another case being brought before Judge John Lopez.

Was it the greatest catch we've ever seen? Luke Jones and Nestor are unsure of the legacy of Colton Cowser's late-night, game-saving robbery in Denver, but the stakes have certainly risen as the Baltimore Orioles are back to .500 and ready to stalk a Wild Card berth in September at Camden Yards. Moo. The post Luke Jones and Nestor walk off a Cowser glove save and Orioles win in Colorado first appeared on Baltimore Positive WNST.

I have shocking news… literally. According to a DHS contract, the agency is purchasing $10-$20 million of the CTG-5 G.L.O.V.E.Glove is an anagram, standing for Generated Low Output Voltage Emitter. The requisition order describes it as a conductive distraction and de-escalation device. It will be issued to Homeland Security Investigations (H.S.I.) and Enforcement Removal Operations (ERO) officers and agents. The devices will be delivered by March 31 of next year. We don't know yet how many they're ordering, how much each pair of gloves cost, or when they will be implemented. These GLOVES are set to be acquired by ICE and are expected to help with their raids, apprehensions, and goal to capture 2,000 immigrants a day. But do we really want officers walking around electrodes on their hands?***Thanks for listening to Overnight Opinions, a recurring news show on topics the mainstream media isn't telling you. Here you'll get current events blended with spicy commentary directed at our elected leaders. You can check out Ladies Love Politics website to read a transcript/references of this episode at www.ladieslovepolitics.com. Be sure to follow the Ladies Love Politics channel on TikTok, Instagram, YouTube, Truth Social, Brighteon Social, Threads, and Twitter. Content also available on Apple Podcasts, Google Podcasts, Spotify, and wherever else you stream podcasts. Background Music Credit:Music: Hang for Days - Silent Partner https://youtu.be/A41A0XeU2ds ***REFERENCES: See webstite.

Linda Kearns fills in for Dawn Stensland on The Dawn Show, opening with local broadcast humor, station personalities, and an inside look at WPHT operations. The crew reacts to the inaugural IndyCar Freedom 250 Grand Prix of Washington, D.C., celebrating America's 250th anniversary, along with the deep-rooted traditions of motorsport history. Dawn's perspective carries through a breakdown of regional sports culture, local music nostalgia, and the evolving radio landscape across Philadelphia. We dive into the strategic realities of upcoming midterm elections, detailing historical seat turnover for incumbent presidential parties and the critical focus needed on local races. Linda breaks down Pennsylvania's mail-in voting mechanics, early voting opportunities, and why voter turnout at the municipal level shapes everyday life. Callers weigh in with first-hand experiences from Delaware polling locations, sparking a defense of election decentralization, voter roll maintenance, and community poll watching. Philly hip-hop blues icon G-Love calls in live from his tour bus in Michigan to celebrate the 20th anniversary of his hit album Lemonade. We discuss the grind of independent touring, the Outermost Roots and Blues Festival in Cape Cod, and memories of Philadelphia's street performance scene that shaped his signature sound. The hour wraps with stories of Dave Matthews, Jimmy Buffett, and a passionate breakdown of what makes authentic Philadelphia cheese steaks and local culture truly unique.

In this message, guest speaker and longtime friend of Family Life, Jordan McGowan, invites us to lay down the exhausting weight of striving, performance, and trying to be “enough.” Using the picture of a glove that is powerless until a hand fills it, Jordan asks a simple but transformative question: Who wears the glove?Drawing from Galatians 2:20—“It is no longer I who live, but Christ who lives in me”—Jordan challenges us to shift our focus from simply asking “Who am I in Christ?” to asking “Who is Christ in me?” The Christian life was never meant to be sustained by our own strength, righteousness, courage, or ability. Jesus is the hand; we are the glove. Our calling is not to perform for Him, but to surrender, abide, and allow His life to be expressed through ours.If you've ever felt the pressure to measure up, prove yourself, or become the person you think God expects you to be, “Who Wears the Glove?” is an invitation to rest. Let go of what only Jesus can carry, make room for His presence, and let Him be amazing through you.

Covino & Rich are in for Dan Patrick! They have fun with a viral clip discussing someone wanting to borrow your baseball glove! Is it a total no-go? Plus, 'Big Papi Trivia' is on fire, and there's a pizza-throwing wrestler making the rounds again! #CRShowSee omnystudio.com/listener for privacy information.

Kyler sits down with actor, comedian, writer, and director Jerry Minor (Abbott Elementary, Mr. Show, Saturday Night Live, Curb Your Enthusiasm just to name a few).Jerry traces his comedic roots starting out in Detroit, navigating the early days of Second City across multiple locations, and developing a passion for scene-based long-form improv. He shares insights into the evolving landscape of auditioning—from setting up self-tapes on a theater stage to taking control of your own space—and offers a candid look at the challenges and fulfillment of directing. The conversation also covers his role as the hilariously accurate Mr. Morton on Abbott Elementary, his time playing Michael Jackson's magical glove in the Bunraku-style puppet show For the Love of the Glove, and hosting his YouTube comedy show, Playing the Back of the Room.Make sure to check out the new season of Abbott Elementary premiering on October 7th. Great chat, thanks for listening!---Episode Links:YouTube: Playing the Back of the RoomFreedom of Mind LivestreamSLD Post

It really seems like Trump & Hegseth hate the troops, but at least Operation Orange Chicken was a complete success, US closes strait and sinks tankers to stop Iran from closing strait and sinking tankers, be careful what you ask your AI assistant to do for you, the Patriot (Hunger) Games give elites the chance to watch children in frolic in skimpy clothes, and if the GLOVE fits, ICE will zap it.

The Kennedy Center puts Trump's name up in lights, Karoline Leavitt gives her final bow, and ICE's electric gloves steal the show. This week, Congressman Ted Lieu and David Pakman debate an AI Kill Switch and consider algorithmic clickbait. Jim Rash pays respects to Allison Janney, Barbie 2, and Woke 1.0. We spin the Rant Wheel on Captcha, tipping, AI writing ticks, and singing Happy Birthday. And we snuggle in for the night with a cozy round of Second Thoughts.Hate listening to ads? Become a Friends of the Pod subscriber for ad-free episodes of Pod Save America, Pod Save the World, Lovett or Leave It, Runaway Country, Offline with Jon Favreau, and more—plus exclusive content, including bonus episodes of Pod Save America. Subscribe now at crooked.com/friends, on Apple Podcasts, or through the Pod Save America YouTube channel.You can request a transcript by emailing transcripts@crooked.com. Include the podcast name, episode title, and air date. Please allow 48 hours for delivery.

Dominick Izzo and Donut Shop Podcast join the boys in studio for a wild Friday full of debates!! Join the 99% App!! https://www.theantiheroapp.com/signin Join us on Patreon! https://patreon.com/TheAntiheroBroadcast?utm_medium=unknown&utm_source=join_link&utm_campaign=creatorshare_creator&utm_content=copyLink Check out our sponsors!! Elevated Silence (promo code "ANTIHERO15" for 15% off!) https://elevatedsilence.com Venjenz (promo code "ANTIHERO" for 15% off!) https://venjenz.com/ Crave Creatine Gummies (promo code ANTIHERO15 for 15% off!!) https://trycrave.com/ Flatline Fiber Co. (promo code ANTIHERO15 for 15% off!) Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to Glove Island The FM Show Podcast More save updates this time from Si, TJ and Matt and also a discussion on Football Reality TV Programs. Remember those?? If you've enjoyed todays show, please leave a like on the video and consider hitting subscribe to the channel. Also leave a comment about your favourite part of the episode. Support us on Patreon and join the The FM Show squad! Enjoy early access to our public episodes, bonus weekly episodes, exclusive content, and you get access to secret channels on our Discord for just £3 a month! Sign up now: http://www.patreon.com/TheFMShowPod WE HAVE MERCH! https://httpsthefmshowpod.creator-spring.com/ Treat yourself to some merch. We've got tees, sweatshirts, hoodies, and are personal favourite, the legends tee. Follow Our Socials https://www.youtube.com/channel/UCJwruCy5lH44iFcyE150oeg http://www.twitter.com/thefmshowpod https://www.tiktok.com/@thefmshowpod http://www.instagram.com/thefmshowpod Join the Discord: https://discord.gg/TKPCUEZDvt Listen Now Spotify: https://open.spotify.com/show/6t7BLXSECt0y9AWHU1WgRj Apple: https://podcasts.apple.com/gb/podcast/the-fm-show-a-football-manager-podcast/id1698580502 Amazon: https://a.co/d/9hJSX0U Tony Jameson http://www.tonyjameson.co.uk http://www.twitter.com/tonyjameson http://www.instagram.com/tonyjameson https://www.tiktok.com/@tonyjamesonfm https://www.facebook.com/tonyjamesonfm http://twitch.tv/tonyjamesonfm https://www.youtube.com/@tonyjamesonFM RDF Tactics https://www.rdftactics.com http://www.twitter.com/rdftactics http://www.instagram.com/rdftactics http://twitch.tv/rdftactics http://www.youtube.com/@RDFTactics Si Maggio http://www.twitter.com/simaggioFM http://www.twitch.tv/simaggio https://www.youtube.com/@SiMaggio SecondYellowCard http://www.twitter.com/secondyellowcrd http://ww.twitch.tv/secondyellowcard https://www.youtube.com/@UC7BbOekYYnfJtGjIYsh_yWw Follow our sibling podcast The WFM Show https://www.youtube.com/@thewfmshow Football Shirt Social http://www.twitter.com/footyshirtsoc https://www.youtube.com/watch?v=a0FIqZvpICI The Football Manager podcast for all of your Football Manager needs. #podcast #FM26 #footballmanager Learn more about your ad choices. Visit podcastchoices.com/adchoices

they can force some of the kids back to school but its still summer Get full access to chris laker - voice of a generation at chrislaker.substack.com/subscribe

Every surgical procedure depends on a reliable barrier between clinicians and patients, but is every glove designed to deliver the same level of protection? On this week's First Case Vendor Spotlight™, Rachel Dalton, MSN, RN, CPPS, Global Manager of Medical Affairs at Cardinal Health™, discusses how the Protexis™ Surgical Glove Portfolio is helping OR teams stay ahead of evolving best practices around glove changing, double-gloving, and latex-free surgical environments. With features like Neu-Thera™ coating, independent thumb design, and interlocking beaded cuffs, the Protexis™ Portfolio helps support comfort, dexterity, and reliable protection throughout every procedure. From product innovation to hands-on clinical support, discover how Cardinal Health™ is helping OR teams build confidence in every layer of protection. Interested in bringing the Protexis™ Surgical Gloves Portfolio to your facility? Connect with your Cardinal Health™ sales representative or visit their website to request free samples, access CE courses, white papers, additional resources, and more. Plus, be sure to check out their previous Vendor Spotlight™ episodes featuring the Protexis™ Portfolio for even more insights. Tune in today! Tune in to previous Vendor Spotlight™ episodes here: Fits Like a Glove: The Performance & Protection of Latex-Free Gloves – Listen Here! Caring for the Hands that Heal: Identifying the Impact of High-Quality Surgical Gloves - Listen Here!

Review of  Portrait by Jackson McCarthy (Auckland University Press), Glove Money by Sophia Dahlin (Nightboat Books), and other poetry collections.

The trade deadline has passed. Did the Dodgers and Padres improve. Did any other teams make significant changes.Did the Padres do enough to become buyers instead of sellers.Lots of trade talk and updates on the most recent games.Are the Dodgers woes all Will Smith's fault?Twitter/Bluesky: @SiblingRivlryBBIG/FB: @SiblingRivalryBBSiblingRivallryBB.com

Lance - Monologue about this summer's Retro Nike Shoe Releases...

We are so excited to welcome back the Glove Actually Podcast on this week's episode. Tune in as we talk about what's going on in the MLB so far this season and our latest favorite reads! Presented By: DraftKings Use Promo Code: THPN Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Forty years after helping lead the Mets to a World Series championship, Jesse Orosco joins Jay Horwitz to relive one of the greatest seasons in franchise history. Jesse reflects on the unforgettable 1986 postseason, the marathon NLCS against Houston, the World Series comeback against Boston, his iconic glove toss, and the emotional decision to give that glove to paralyzed NYPD officer Steve McDonald. He also shares what made the '86 Mets so special, memories of Davey Johnson and Gary Carter, and why he's excited to reunite with his teammates for the 40th anniversary celebration. Subscribe for more exclusive Mets interviews and behind-the-scenes stories. Learn more about your ad choices. Visit megaphone.fm/adchoices

Hey, hey! In this episode we dive head first into... Cherry tumblers, book flashbacks, yakking....And.... The Black Glove! aka Face The Music!Face the Music (U.S. title: The Black Glove) is a 1954 British second feature ('B')[2] crime drama film directed by Terence Fisher and starring Alex Nicol, Eleanor Summerfield and Paul Carpenter.[3][4] It was written by Ernest Borneman based on his 1954 novel of the same title. J. Elder Wills was art director, Jimmy Sangster was assistant director and Phil Leakey did Makeup. Michael Carreras, who loved jazz music, was able to hire trumpeter Kenny Baker to coach Alex Nicol in how to play the trumpet. The film was released in the United States by Lippert Pictures. Filming ran from June 22nd to July 20th, 1953, and the film was trade shown at the Hammer Theatre on Feb. 2, 1954 and released on Feb. 22.

Craig and C-Mac discuss the legendary career of Howard Cosell and share a unique story about playing for the Washington Generals against the Harlem Globetrotters. They also provide tips on breaking in a new Rawlings baseball glove and analyze the Knicks' standing compared to the Sixers. The conversation wraps up with wild stories of Vegas encounters and legendary broadcasting drinking habits. 01:20 - Categories For The Wheel 06:28 - Willie Colon Disney Partnership 12:00 - Playing For Washington Generals 17:36 - Howard Cosell's Broadcasting Legacy 24:11 - Knicks And Sixers Rivalry 30:07 - Breaking In New Gloves 36:56 - Broadcast Booth Drinking Stories 45:12 - Winning 82-0 Gaming Strategy 48:45 - Wild Vegas Pool Stories

“We should not be practicing medicine in a way that contributes to the pollution and emissions that harm the health of those we have pledged to serve.”The U.S. healthcare sector is responsible for approximately 8.5% of the nation's greenhouse gas emissions, contributing to an estimated 388,000 disability-adjusted life years (DALYs) lost in 2018. While non-sterile gloves are essential for reducing the transmission of pathogens, an estimated 100 billion exam gloves are used annually in the United States, generating approximately 400,000 tons of medical plastic waste each year.Evidence suggests that gloves are used inappropriately in up to 50% of clinical encounters. Beyond creating avoidable plastic waste, inappropriate glove use can compromise patient safety and infection prevention efforts by reducing hand hygiene compliance. These practices have downstream environmental and public health consequences that extend well beyond the clinical setting.Fortunately, a growing body of evidence supports the safety and effectiveness of glove stewardship initiatives. Educational campaigns that promote evidence-based, appropriate glove use have reduced glove consumption by 15% to 50% across a variety of healthcare settings without compromising patient care.In this episode of the ASHE Podcast, hosts Dr. Priya Nori and Dr. Elizabeth Monsees are joined by Dr. Laurie Lalakea and Dr. Radhika Sheth to discuss their recent publication, Using Gloves Wisely: Rethinking Glove Use for Health, Safety, and Environmental Sustainability. Together, they explore the far-reaching public health and environmental impacts of non-sterile glove overuse and share practical strategies for implementing a successful glove stewardship program.Links and Recommendations:Read Dr. Lalakea and Dr. Sheth's article in ASHE: https://www.cambridge.org/core/journals/antimicrobial-stewardship-and-healthcare-epidemiology/article/using-gloves-wisely-rethinking-glove-use-for-health-safety-and-environmental-sustainability/EB82A26AE6E05E298688F4005AB6F0CB?utm_campaign=shareaholic&utm_medium=copy_link&utm_source=bookmark Sustainabil-ID: https://sustainabil-id.com/ What If We Get It Right? by Ayana Elizabeth Johnson: https://www.getitright.earth/ 

Jay Bilas joins "Dubs Talk" to discuss what he has seen from both of the Warriors' draft picks, Yaxel Lendeborg and Lajae Jones. Bonta Hill, Monte Poole, and Dalton Johnson break down Lendeborg's impressive start to NBA Summer League and how Golde State's roster could shape up.     (02:30) - Takeaways from Yaxel Lendeborg early in NBA Summer League (07:30) - Lendeborg showing shades of Jayson Tatum, Jamal Mashburn (09:30) - Lendeborg playing team basketball instead of looking to get his (14:30) - How Warriors' roster round out? Are they still in on LeBron James? (19:30) - How Anthony Davis could play into when LeBron makes decision (21:00) - Would Trey Murphy be better option than Anthony Davis? (23:20) - Warriors need to get better instead of going on wild goose chases for big stars (28:30) - Jay Bilas gives his take on Yaxel Lendeborg, Lajae Jones and more   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Share a commentA glove can point, clap, and wave all day long but only when a hand fills it. That's the picture we keep coming back to as we walk through Romans 8: the Christian life is not powered by grit, personality, or religious hustle. We're “willing gloves,” and the Holy Spirit is the One who indwells, energizes, and directs us so our lives actually move in a new direction.We get practical about a question that confuses a lot of people: what does it mean to be led by the Spirit? We challenge the popular idea that spiritual guidance is mainly a mystical feeling, a private voice, or the latest trend of dream-based direction. When “God told me” becomes more exciting than what God has already said, the result is distraction and instability. We read the warning signs, talk about how false confidence can grow, and why Scripture sufficiency matters for everyday discernment.Then we lay out a clearer definition: being led by the Spirit means being led into the Word of God and into obedience to the Word of God. From there, Romans 8 opens up the relief of adoption as sons and daughters, not slavery and fear, but full family rights and a real inheritance. That new relationship changes our prayer life too, giving us the freedom to cry, “Abba, Father,” with intimacy and reverence.If you want biblical guidance, deeper assurance, and a steadier approach to Spirit-led living, press play. Subscribe, share this with a friend, and leave a review with the biggest takeaway you're wrestling with right now.Learn more about twenty-five years of global impact, and reserve tickets to our gala. https://www.wisdomonline.org/mp/25 Learn more: https://www.wisdomonline.org/Support the show

Share a commentA glove can point, clap, and wave all day long but only when a hand fills it. That's the picture we keep coming back to as we walk through Romans 8: the Christian life is not powered by grit, personality, or religious hustle. We're “willing gloves,” and the Holy Spirit is the One who indwells, energizes, and directs us so our lives actually move in a new direction.We get practical about a question that confuses a lot of people: what does it mean to be led by the Spirit? We challenge the popular idea that spiritual guidance is mainly a mystical feeling, a private voice, or the latest trend of dream-based direction. When “God told me” becomes more exciting than what God has already said, the result is distraction and instability. We read the warning signs, talk about how false confidence can grow, and why Scripture sufficiency matters for everyday discernment.Then we lay out a clearer definition: being led by the Spirit means being led into the Word of God and into obedience to the Word of God. From there, Romans 8 opens up the relief of adoption as sons and daughters, not slavery and fear, but full family rights and a real inheritance. That new relationship changes our prayer life too, giving us the freedom to cry, “Abba, Father,” with intimacy and reverence.If you want biblical guidance, deeper assurance, and a steadier approach to Spirit-led living, press play. Subscribe, share this with a friend, and leave a review with the biggest takeaway you're wrestling with right now.Learn more about twenty-five years of global impact, and reserve tickets to our gala. https://www.wisdomonline.org/mp/25 Learn more: https://www.wisdomonline.org/Support the show

Craigy and Big Mac debate the legitimacy of LeBron James' tenure with the Los Angeles Lakers and rank the greatest players in franchise history. They also discuss Shohei Ohtani's historic season and whether a player can be considered the greatest of all time without playing the field. 01:33 - Mitchell Robinson Update 02:15 - LeBron Laker Legacy 11:48 - Top Ten Lakers List 21:30 - Shohei Ohtani Debate 25:10 - Bronny James Contract

"To Break in a Glove" by TARDISTraveller42, can be found at https://archiveofourown.org/works/22854793"Picard spends some fatherly bonding time with the three members of his crew that need a father-figure the most: Will, Wesley, and Data. Can a game of catch on the Holodeck bring out the father in Jean-Luc Picard?"The Joy of Trek is hosted by Khaki & Kay, with editing & production by Chief Engineer Greg and music by Fox Amoore (Bandcamp | Bluesky)Send us your recommendations, or support us on Patreon.Find us at joyoftrek.com · Twitter · Facebook

Key Topics: 2025 Draft Breakdown Not a single Canadian goalie drafted in the top 15 of the 2025 NHL Draft. Russia had 7 goalies drafted. Czech Republic had 6. The first Canadian goalie taken was Elliott Lennon in the 4th round, and he was US developed out of prep school. The guys break down what the numbers actually mean and what they don't. The Russian Model Russia identifies top goalies around age 11-12, places them near a developmental pathway (MHL, VHL, KHL), and brings them together for centralized camps several times a year to work on shared issues. The result is ultra-athletic goalies with a built-in pro pathway. North America has no equivalent. Goalie coaches don't collaborate. There is no standardized model. What Scouts Are Actually Buying Technique is teachable at the pro level. Athleticism, skating ability, and tracking ability are not. Scouts are drafting ceiling. That means size (6-foot-1 was reportedly the smallest goalie drafted) and raw athleticism matter more than technical polish at the draft stage. The COVID Factor The 2013 Ontario goalie birth year may be the worst in provincial history. Those kids were 8-9 years old during key development years and lost roughly a season and a half of minor hockey. This draft is the first wave. It will continue for several more years before it resolves. Sports Specialization and Burnout Jamie argues that burnout doesn't come from playing too much hockey. It comes from pressure. A kid playing summer hockey as a centerman with zero stakes is not burning out. A kid in Triple A baseball under the same win-at-all-costs pressure after eight months of Triple A hockey is burning out from the mindset, not the sport. Booge adds nuance from the applied coaching side, landing on athlete-led specialization, supported by off-ice athletic development and fun-based multi-sport activity. Over-Coaching and the "Science" Trend Both coaches push back on the trend of over-analyzing goalie mechanics with biomechanical tools and angle measurements on video. Buj example: a goalie with a blocker foot slightly behind him. The fix was a simple feel-based cue. "Push your blocker foot forward. It'll feel weird. That's fine." Solved in one rep. No iPad required. The concern is analysis paralysis and coaching athletes out of their natural feel. There is also a pointed critique of making "silly" warm-up drills appear scientific for content performance. Goalie Power Skating Jamie has brought in a dedicated power skating coach for his goalie group. The result: outside edge work that exposes how over-coached most older goalies are on inversion and inside edges. The younger goalies pick it up easier. The 15-17 year olds struggle and resist. Outside edge development gets a strong endorsement for long-term skating quality and puck retrieval ability. Pad Stiffness and Glove Angle Parting shot hot take: if you are not a fast, flexible lateral skater, you should not be in a soft pad. Soft pads require the athlete to control rebounds. Stiff pads do it for you. Match equipment to your athletic profile, not brand preference. Glove break angle deserves the same consideration. Upcoming Content Tydan skate blade profile podcast (Jamie visiting with his son to test multiple profiles) Pad Skins West Michigan event in August (free gear customization day for local goalies) San Jose Sharks Stan club membership for Buj  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We break down the high-stakes world of election law as guest host Linda Kearns fills in on The Dawn Stensland Show. Joined by top election attorney Justin Riemer—leader of Restoring Integrity and Trust in Elections (RITE) and the Ulysses S. Grant Institute for the Study of Democracy—the crew exposes the tedious, in-the-weeds battles required to protect the vote. From a firsthand look at a chaotic Philadelphia polling place debacle to the critical need for permanent, bipartisan poll watchers, we highlight why election integrity is won yard-by-yard rather than through magic bullets. We also dive into the latest political shenanigans happening across the country, including a bizarre copycat candidate dispute in Alaska meant to confuse voters in a ranked-choice system. The discussion shifts to structural threats against our constitutional republic, analyzing why progressive pushes for a national popular vote and Supreme Court packing are deeply cynical power grabs. We check the foundational knowledge of the room with an official U.S. citizenship civics test, leading to a fiery debate on how current university settings and a lack of patriotic schooling are impacting the next generation. On the cultural side, the crew reacts to The Philadelphia Inquirer's newly released list of 76 iconic local songs, expressing collective outrage over the absolute snub of G-Love's classic anthem, "I-76." We wrap up the morning with a lively celebration of Elvis Presley's cultural legacy, complete with listener trivia from the 1950s, a look at regional impersonator contests, and a debate on a classic movie-inspired summer matchup. Plus, a grateful listener calls in to share how conservative tax cuts are directly benefiting retirees across the region.

Keep them everywhere, like ibuprofen. You never know when you need them.  We have thoughts about Giants pitchers, DOJ and Attorneys General wasting taxpayer dollars on non issues, bigotry having consequences, and the chance for Book Club Girl to say Pride and Prejudice on a baseball podcast. The World Cup continues to provide endless opportunities for cross-training. Ecuador/Curaçao brings out the boyfriends, we've got a slippery slope of mouth covering with intent, there's the welcome mats extended to Scots and Vikings and rolled up for many other countries (again we say, why is the US allowed to host?), and some creative letter but not spirit of the law following by Gillette and Levis. There's the first cycle of the season, and then the first for Bryce (thanks, Schwarbs!). Drake comes back and hits a ball really, really, far.  Nasim finally makes Pottymouth's team. JJ's fifth grade teacher gets her 5 minutes of fame. And Patti definitely keeps Jazz around for comic relief.We say, “The only beer in Massachusetts,” “Some salsa, some merengue, and some Crazy Train,” and “Lord Provost of the Fantasy League.” Fight the man, go see some live baseball, send your game balls to Meredith, and find us on Bluesky @ncibpodcast, on Facebook @nocryinginbball, Instagram @nocryinginbball and on the Interweb at nocryinginbball.com. Please take a moment to subscribe to the show, and leave us a review on Apple Podcasts or wherever you listen to NCiB. Become a supporter at Patreon to help us keep doing what we do. We now have episode transcripts available!  They are available for free at our Patreon site. Say goodnight, Pottymouth. 

An INSANE forum conversation has us once again questioning the rise of raw play... We share recent stats on STI rates with and without condoms, and our theories on why so many in the lifestyle seem to want to play with fire.  Get 15% off your first order of Shivers Gummies with code FPS at https://shivers.store Try Kasidie FREE for a month! Click on the Kasidie banner at https://frontporchswingers.com Join us for our monthly Real Hotwives of Las Vegas event! https://members.frontporchswingers.com Let's get you started on a new health and wellness journey! https://revitaglowmeds.com  

In this uplifting episode of Chit & Chat: Encouraging One Another, we kick things off with our opening before diving into a warm welcome and introduction to the show.We begin our musical journey with our Spotlight Artist Local Honey, the talented duo from Georgia, featuring their song “Put Down the Phone.”After a brief word from our sponsors — Paul's Radio Station - XWMP radio and Taquiza & Taquiza Street which are located in Silverdale Washington— We turn our attention to today's featured guest, Chad Merritt. Chad joins us for an honest and heartfelt conversation about the difficult seasons he's walked through and how trusting God has guided him every step of the way.Next, we introduce Chad Rivette, followed by our second Spotlight Song, “Repair My Broken Heart.”A quick commercial break from Lone Star Donuts- with locations in Silverdale and in Port Orchard Washington which leads us into today's Mental Minute, titled “The Glove, the Game, the Gospel,” a short reflection designed to encourage and inspire.We continue the musical spotlight with Mystic Rose and their track “Fee Fi Fo Fum,” followed by messages from The Kitsap Great Escape that is Silverdale and Wine About It and there in Port Orchard. Then we welcome Lauren Flynn and share her beautiful song “Beyond the Moon.”After thanking our listeners for joining us, we introduce Pepper Brooks and close out the show with her song “Can't Nobody Love Like a Cowboy.”The episode wraps with our closing — another encouraging, music‑filled journey designed to lift your spirits and remind you that you're never walking alone.I hope you enjoyed the show.

It has been 18 years of marriage for The Pod Ninja and the Peaches! They spent the day carting the fruit of their marriage to various activities...How long does a parrot live? (And, should we buy one to incorporate in the Peaches' pirate costume?) Also, hopefully our children don't get devoured by bugs at camp. THEN: John thought he had a thing he wanted to mention... Should we listen to people who "just want someone to listen"?LATER: Certain Christians genuinely feel BAD when we start spreading the Gospel and winning converts successfully. Why? Because, when we grow the invisible Kingdom of God, it starts to have an impact on the visible nations here on earth. And we have been told it's BAD to have political power. Contact the Comedian's Family by emailing nextdoor@johnbranyan.com

It has been 18 years of marriage for The Pod Ninja and the Peaches! They spent the day carting the fruit of their marriage to various activities...How long does a parrot live? (And, should we buy one to incorporate in the Peaches' pirate costume?) Also, hopefully our children don't get devoured by bugs at camp. THEN: John thought he had a thing he wanted to mention... Should we listen to people who "just want someone to listen"?LATER: Certain Christians genuinely feel BAD when we start spreading the Gospel and winning converts successfully. Why? Because, when we grow the invisible Kingdom of God, it starts to have an impact on the visible nations here on earth. And we have been told it's BAD to have political power. Contact the Comedian's Family by emailing nextdoor@johnbranyan.com

UFC Freedom 250! The ONLY! Tyler Peacock brings you another episode of the PodCock PeaCast! On the program we talk what's been happening with both the Stanley Cup Final & NBA Finals thus far. Next we talk a little NASCAR, a quick reaction/recap of Michigan & then a look ahead to the Tricky Triangle of Pocono as we talk the track, how the race might go & some bets. Lastly we preview & breakdown the entire UFC Freedom 250 card! Glove ratings, breaking down all the bouts & of course some potential wagers to make! Thanks for listening!RATE REVIEW SUBSCRIBE! Follow the show on X @podcockpeacast & like the Facebook page @ PodCock PeaCast, Available on Apple Podcast, Spotify, Amazon Music, Google Podcast & the rest of the major podcast platforms! Finally enjoy your listen!A semiprofessional sports podcast that may or may not have a gambling problem, we will touch some entertainment subjects as well & elements of general tomfoolery, also it may have a witty moment or two along the way.

We're a few days late with this week's episode but we have two great guests.Mark Simon was joined by former MLB manager Dusty Baker, whose new book, Crossroads, A Memoir in Baseball and Life came out this week.Mark and Dusty talked about how Hank Aaron was great at positioning the Braves outfielders, what stats Dusty kept handy in the dugout, how he used to make lineup decisions based on whether players were good low-ball hitters, why music and dancing are important in baseball, and more.Then Mark was joined by Ed Wheatley, author of the new book, The Finest in the Field, a coffee table book from Rawlings about baseball gloves and their use throughout MLB history. Ed shared stories about famous players from the past and the gloves they used, and what he thinks of the modern baseball glove.Both are wonderful books for baseball fans of any time period.Link to Alex Vigderman's article about Defensive Runs Saved and Fielding Run Value.https://www.sportsinfosolutions.com/2026/06/04/study-defensive-runs-saved-fielding-run-value-are-inching-closer-to-each-other/Thanks as always for listening. Please check out the new-and-improved FieldingBible.com website, follow us on Bluesky at @sportsinfosolutions.com, and read our work at SportsInfoSolutions.com. You can e-mail us at Mark@sportsinfosolutions.com.

What is it with St. Louis and fielding, what are the seams to tie the city, its fondness for baseball, and defense together? That's the question that comes at the conclusion of a brand new episode of the Best Podcast in Baseball. Author and historian Ed Wheatley joins baseball writer and host Derrick Goold to discuss his new book, "The Finest in the Field: A History of Baseball Through 50 Iconic Gloves." The book uses art-worthy photos of famous gloves, from Bill Doak's that launched the modern glove to Bob Gibson's beloved glove without a logo, to tell the story about individual players, their gloves, and ultimately baseball history. The game itself has changed because of the advances in gloves, from tossing pitches like horseshoes to firing 104-mph fastballs because the catcher's mitt can now handle that. Well, mostly. Most everyone remembers their first glove and their favorite glove, and some big leaguers go whole careers with only one glove, while others get a new glove every season. When Masyn Winn finally got a grip on his first career Rawlings Gold Glove Award, he won the 100th in Cardinals history. The Cardinals are the first big-league club to reach 100 Gold Gloves, and the team just behind them is the Baltimore Orioles, who of course used to be the St. Louis Browns. Four of the finest fielding third baseman in baseball history have called St. Louis' hot corner home -- most recently Nolan Arenado and Scott Rolen -- but the all-time leader in Gold Glove Awards at the position played in Baltimore. The all-time leader at shorstop is a Cardinal, Hall of Famer Ozzie Smith, and Cardinals catcher Yadier Molina won three Platinum Glove Awards before anyone else won a second one. Stan Musial was the first to use a style of glove that he popularized and then, decades later, became even more popular for outfielders. Oh, and Rawlings is based in St. Louis. And, heck, the play that launched the Cardinals' World Series history was a tag at second, not a hit. And it was applied with a Bill Doak model glove made by Rawlings. Wheatley, one of the biggest champions of Browns history and a keeper of the St. Louis Browns' flame, considers that question about St. Louis and the deep roots of defense and comes to a compelling conclusion why.  More Post-Dispatch podcasts.  Please consider subscribing. In its 14th season as one of the first and most widely heard podcasts on baseball and the Cardinals, the Best Podcast in Baseball has reached a new season-high with 30 episodes. Each episode is sponsored weekly by Closets by Design of St. Louis, is a production of the St. Louis Post-Dispatch, StlToday.com, and lead baseball writer Derrick Goold. 

FULL SHOW: Friday, April 24th, 2026 Curious if we look as bad as we sound? Follow us @BrookeandJeffrey: Youtube Instagram TikTok BrookeandJeffrey.comSee omnystudio.com/listener for privacy information.