Podcasts about Magical

Why don't children love to learn anymore? Is it because of the subject matter or the WAY we are teaching?

Rog and James Horncastle went live following Wednesday's seismic UEFA Champions League playoff clashes to discuss Bodø/Glimt's exceptional run after knocking out Inter, Vinicius Jr. scoring again versus Benfica, and what's wrong with Paris Saint-Germain?Plus, Rog and James take listener calls, discuss Weston McKennie's role at Juventus and take a look forward at the next round of possible matches. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In honor of Black History Month, Will and Sabrina are watching “Selma, Lord, Selma” starring Mackenzie Astin, Jurnee Smollette and Clifton Powell. This film premiered in 1999 as a Wonderful World of Disney film on ABC.See omnystudio.com/listener for privacy information.

Ever wonder why your kids' “school projects” either fizzle out or turn into frantic, last-minute glue-sticking marathons? Or maybe you secretly dread “interest-led learning” because you picture glitter explosions and science fair-level chaos? I get it. But what if project-based learning—done right—could actually bring joyful curiosity, deeper learning, and family connection…without sending you to the craft store (or losing your mind)?In this episode, I sit down with my real-life friend and local homeschool teacher, Karla Schlatter. Karla's a mama of four boys, a champion of lifelong learning, and a pro at weaving meaningful projects into home education. Together, we peel back the curtain on what project-based learning really looks like in our actual, messy homeschool lives.We share what sparked our love for this hands-on approach, how it's played out with both our self-motivated and less-eager kids, and some hilarious mishaps along the way (never underestimate a determined kid with a cardboard stash or the allure of rabbit poop “science experiments”).We unpack:Why “interest-led” projects are more than just crafts or busywork—and how they differ from those assembly-line curriculum assignmentsHow Karla designed a high school project course that has our teens actually caring about deadlines, peer feedback, and creativity (hello, executive function skills!)The magic (and mild panic) of letting go of control as a homeschool mom—and why that's where the real learning happensPitfalls we've both hit, including perfectionism, decision-paralysis, and that ever-present urge to “just do it my way”How to scaffold and support reluctant or overwhelmed kids so they can actually succeed (and learn from mistakes)What you'll learn:The two types of project-based learning—and which one sparks more meaningful growthHow to create accountability, positive peer pressure, and genuine motivation (even if your kid is a world-class procrastinator)Strategies for building projects around your child's true interests—even if those interests seem a bit out-there (rabbit fertilizer, anyone?)Why it's worth teaching kids to “break big goals into small steps”—and how project learning does just thatWays to start small and make project-based learning a natural part of your family culture, whether you have a group or you're flying soloResources Mentioned:Land That I Love from Homeschool Better TogetherNavigating High School Course4-H and county fairs for kid-friendly project experiencesColleen

In honor of Black History Month, Will and Sabrina are watching “Selma, Lord, Selma” starring Mackenzie Astin, Jurnee Smollette and Clifton Powell. This film premiered in 1999 as a Wonderful World of Disney film on ABC.See omnystudio.com/listener for privacy information.

Fluent Fiction - Serbian: Mystery of the Disappearing Snowballs: A Magical Winter Day Find the full episode transcript, vocabulary words, and more:fluentfiction.com/sr/episode/2026-02-24-23-34-02-sr Story Transcript:Sr: Пробуђени зимским сунчевим зрацима, Александар, Јелена и Милан су храбро започели свој дан у Копаоничком националном парку.En: Awakened by the winter sun's rays, Aleksandar, Jelena, and Milan bravely began their day in Kopaonički Nacionalni Park.Sr: Снег је био свуда уоколо као најлепши бели тепих.En: The snow was all around like the most beautiful white carpet.Sr: Александар, са својом неуморном енергијом, предложио је да направе највећег снеговића у парку.En: Aleksandar, with his tireless energy, suggested they build the largest snowman in the park.Sr: Јелена је, као увек, пажљиво размотрити његов план, док је Милан сањиво гледао уоколо, у потрази за неким знацима натприродног.En: Jelena, as always, carefully considered his plan, while Milan dreamily looked around in search of some supernatural signs.Sr: Започели су тако што су ваљали велики снежни кугле.En: They started by rolling large snowballs.Sr: Али на њихово изненађење, чим би сакупили снег у куглу, он би мистериозно нестао!En: But to their surprise, as soon as they gathered the snow into a ball, it mysteriously disappeared!Sr: „Чекајте, то није могуће“, рекао је Александар, гребући се по глави.En: "Wait, that's not possible," said Aleksandar, scratching his head.Sr: Јелена је размишљала гласно, „Можда постоји неко објашњење. Не можемо одустати.“En: Jelena mused aloud, "Maybe there's an explanation. We can't give up."Sr: Милан је показао прстом ка дрвећу, унанео се скупљеног лица и шапнуо, „Можда су то духови зиме.“En: Milan pointed towards the trees, wearing a puzzled expression, and whispered, "Maybe it's the spirits of winter."Sr: Александар, све више радећи раме уз раме, убеђивао их је да истраже узрок овог чудног појава.En: Aleksandar, increasingly working shoulder to shoulder, convinced them to investigate the cause of this strange phenomenon.Sr: Док су ходали шумом, приметили су неодољиве трагове снежних лоптица на тлу које су водиле до невидљивих починилаца.En: As they walked through the forest, they noticed irresistible traces of snowballs on the ground leading to invisible culprits.Sr: Смејући се, убрзо су открили праве злочинце — колонију враголастих веверица, задовољно преврћући снег.En: Laughing, they soon discovered the true miscreants — a colony of mischievous squirrels happily flipping the snow.Sr: „Погледајте их како брзо раде“, насмејала се Јелена.En: "Look at how quickly they work," laughed Jelena.Sr: Сведочење проналаску је изгледало бескорисно, али био је добар повод за смех и шалу.En: Witnessing the revelation seemed pointless, but it was a good opportunity for laughter and fun.Sr: Александар је широко осмехнуо се, пребацујући поглед на пријатеље пре него су почели да се придружују веверицама у живахној борби баловима од снега.En: Aleksandar grinned widely, glancing at his friends before they joined the squirrels in a lively snowball fight.Sr: Једно време, сви у парку били су део бујне вртаче леда и кикота.En: For a while, everyone in the park was part of a vibrant whirl of ice and laughter.Sr: Јелена је подсетила свог узбуђења Александра, „Понекад је путовање и друштво које чини највише среће.“En: Jelena reminded the excited Aleksandar, “Sometimes it's the journey and the company that brings the most joy.”Sr: Милан је, уплетен у ледено трчање, сагласио се кимнувши.En: Milan, entangled in the icy run, agreed by nodding.Sr: Док су сенке вечерњег сунца прошле парк, Александар је схватио да величина снеговића није била толико важна.En: As the shadows of the evening sun passed over the park, Aleksandar realized that the size of the snowman wasn't all that important.Sr: Оно што је било значајно били су дани проведени заједно, пуни радости и неочекиваних авантура са пријатељима.En: What mattered was the time spent together, filled with joy and unexpected adventures with friends. Vocabulary Words:awakened: пробуђениrays: зрациbravely: храброcarpet: тепихtireless: неуморнаconsidered: размотритиdreamily: сањивоsupernatural: натприродноsurprise: изненађењеmysteriously: мистериозноscratching: гребућиpuzzled: скупљеноspirits: духовиshoulder: рамеphenomenon: појавеirresistible: неодољивеinvisible: невидљивихculprits: починилацаmischievous: враголастихrevelation: проналаскуwhirl: вртачеreminded: подсетилаentangled: уплетенshadow: сенкеadventures: авантураjourney: путовањеdisappeared: нестаоflakes: љуспицеdiscovered: открилиgathered: сакупили

Michael Vlahos as Germanicus and Gaius use the legendary Spartan-Argos Battle of the Champions to frame the twenty-first-century standoff between America and Iran, arguing that American reliance on the magical fetish of air power ignores the historical reality that Persia has remained essentially unconquered for 2,500 years, with both sides poised for uncontrollable escalation without a settled definition of victory. 11746

Discover the power of magic and connection with Orion Foxwood on the latest episode of The Witching Hour!

Reclaim your energy this week, think about where you might be giving it out… social media… saying yes when you really want to say no…. Etc.

Welcome to the first ever CROSSOVER EPISODE for both podcasts, and we are so excited to have you join us for this one.Today, the team from the Magical Learning Podcast is chatting to the amazing Alena Bennett, host of The Real Math of Business with Alena Bennett.Alena is a speaker, author and leadership expert who works primarily with CEOs and CFOs, helping build businesses where people serve people, the math just works.To reach out to Alena:https://www.alenabennett.com.au/https://www.linkedin.com/in/alenabennett/And to check out The Real Math of Business with Alena Bennett:https://www.youtube.com/@UCTC-z1B7jxC8zUW4LBxS1ww https://podcasts.apple.com/dk/podcast/the-real-math-of-business-with-alena-bennett/id1824603857Magical Learning has been running as a training and facilitation company in Australia for over 25 years and has partnered programmes with global thought leaders like John Matone and Robin Sharma.To check out to the Magical Learning Podcast: https://www.youtube.com/@UCb70j5K0EE1DLlCLCvqdsVQ https://podcasts.apple.com/dk/podcast/magical-learning-podcast/id1503860793To find out more about our free content, sign-up for future webinars as well as our other services, go to ⁠⁠https://magicallearning.com/⁠⁠ and sign up!You can also find us on our socials: Instagram: / magical_learning Facebook: / magicallearningteam Linkedin: / magicallearning Youtube: / @magicallearning Have a Magical week!

Ethereal Encounters Welcomes Bart Sharp, Fellow UPRN Host of Becoming Quantum Conscious February 20th, 2026 Topic: Magical, Mystical France - From Magdalene to Isis To The Ancient About Our Guest: Bart Sharp is an intuitive and shamanistic practicioner helping people release their deepest repressed limitations. Bart has served others for twenty years combining psychological knowledge with an immense knowledge of how the energetic body works in relation to the human condition. Whether it is an abused childhood, interacting with shadow aspects of self, entity removal or various highly abnormal traumas, Bart has helped those with anything from normal to unusual issues. The desire to teach and facilitate a greater consciousness is Bart's driving passion, he does this in a variety ways from private sessions, classes, books such as “Magic Speaks”, audio downloads, intuiive tour guide to sacred sites in SW France, and as a radio show host of “Becoming Quantum Conscious” on United Public Radio Network and UFO Paranormal Radio Network. Home is Austin, Texas and SW France. WEBSITES: marymagdalenefrancetours.com bartsharp.com

The Gaming Hut starts us off with a contemplation of introductory adventures. The Horror Hut unearths the surely vampiric backstory of a loin-cloth clad 4th century Saracen warrior whose spectacular blood-drinking turned the Visigoths from the gates of Constantinople. The Stock Character Hut celebrates the release of Page Turners with a look at the disapproving […]

Let's Chat!!Boo Bitches!Not all witches live in cottages deep in the woods. Some of us live three feet from vinyl siding and across from inflatable snowmen.In this episode, RSuburbia is uniform. Regulated. Aesthetically managed.Witchcraft is boundary-pushing. Subversive. Quietly powerful.In Episode 199 of C3: Crystals, Cauldrons, & Cocktails, River dives into suburban witchcraft—wards disguised as wreaths, protection magic hidden in landscaping, driveway sigils, trash can release rituals, and the ancient art of looking normal while doing something deeply mystical.This is magic in plain sight.This is sovereignty under surveillance.This is deviation in beige form.Support the showUntil then, Stay Witchy!!River's Etsy Store: www.batsandbaublesinc.etsy.comWebsite: www.c3witchypodcast.comMerch: www.c3witchypodcastmerch.comOur wonderful logo is done by: www.nellamarinadraws.etsy.comIntro and Outro Audio:podcast intro & outro music:Góða Nótt by Alexander NakaradaLink: https://filmmusic.io/song/4754-g-a-n-ttLicense: https://filmmusic.io/standard-liceSound from Zapsplat.com – Witches Cauldrons bubbling

Ray O'Leary joins Dan, James and Andy to discuss Rousseau, rays, receptionists and remarkable royalties. Visit nosuchthingasafish.com for news about live shows, merchandise and more episodes. Join Club Fish for ad-free episodes and exclusive bonus content at apple.co/nosuchthingasafish or nosuchthingasafish.com/patreonGet an exclusive 15% discount on Saily data plans! Use code [fish] at checkout. Download Saily app or go to https://saily.com/fish

Tickets for AIEi Miami and AIE Europe are live, with first wave speakers announced!From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and talent arms race reshaping the tech industry. As partners at a16z investing across infrastructure and growth, they've watched venture and growth blur, model labs turn dollars into capability at unprecedented speed, and startups raise nine-figure rounds before monetization.Martin and Sarah join us to unpack the new financing playbook for AI: why today's rounds are really compute contracts in disguise, how the “raise → train → ship → raise bigger” flywheel works, and whether foundation model companies can outspend the entire app ecosystem built on top of them. They also share what's underhyped (boring enterprise software), what's overheated (talent wars and compensation spirals), and the two radically different futures they see for AI's market structure.We discuss:* Martin's “two futures” fork: infinite fragmentation and new software categories vs. a small oligopoly of general models that consume everything above them* The capital flywheel: how model labs translate funding directly into capability gains, then into revenue growth measured in weeks, not years* Why venture and growth have merged: $100M–$1B hybrid rounds, strategic investors, compute negotiations, and complex deal structures* The AGI vs. product tension: allocating scarce GPUs between long-term research and near-term revenue flywheels* Whether frontier labs can out-raise and outspend the entire app ecosystem built on top of their APIs* Why today's talent wars ($10M+ comp packages, $B acqui-hires) are breaking early-stage founder math* Cursor as a case study: building up from the app layer while training down into your own models* Why “boring” enterprise software may be the most underinvested opportunity in the AI mania* Hardware and robotics: why the ChatGPT moment hasn't yet arrived for robots and what would need to change* World Labs and generative 3D: bringing the marginal cost of 3D scene creation down by orders of magnitude* Why public AI discourse is often wildly disconnected from boardroom reality and how founders should navigate the noiseShow Notes:* “Where Value Will Accrue in AI: Martin Casado & Sarah Wang” - a16z show* “Jack Altman & Martin Casado on the Future of Venture Capital”* World Labs—Martin Casado• LinkedIn: https://www.linkedin.com/in/martincasado/• X: https://x.com/martin_casadoSarah Wang• LinkedIn: https://www.linkedin.com/in/sarah-wang-59b96a7• X: https://x.com/sarahdingwanga16z• https://a16z.com/Timestamps00:00:00 – Intro: Live from a16z00:01:20 – The New AI Funding Model: Venture + Growth Collide00:03:19 – Circular Funding, Demand & “No Dark GPUs”00:05:24 – Infrastructure vs Apps: The Lines Blur00:06:24 – The Capital Flywheel: Raise → Train → Ship → Raise Bigger00:09:39 – Can Frontier Labs Outspend the Entire App Ecosystem?00:11:24 – Character AI & The AGI vs Product Dilemma00:14:39 – Talent Wars, $10M Engineers & Founder Anxiety00:17:33 – What's Underinvested? The Case for “Boring” Software00:19:29 – Robotics, Hardware & Why It's Hard to Win00:22:42 – Custom ASICs & The $1B Training Run Economics00:24:23 – American Dynamism, Geography & AI Power Centers00:26:48 – How AI Is Changing the Investor Workflow (Claude Cowork)00:29:12 – Two Futures of AI: Infinite Expansion or Oligopoly?00:32:48 – If You Can Raise More Than Your Ecosystem, You Win00:34:27 – Are All Tasks AGI-Complete? Coding as the Test Case00:38:55 – Cursor & The Power of the App Layer00:44:05 – World Labs, Spatial Intelligence & 3D Foundation Models00:47:20 – Thinking Machines, Founder Drama & Media Narratives00:52:30 – Where Long-Term Power Accrues in the AI StackTranscriptLatent.Space - Inside AI's $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z[00:00:00] Welcome to Latent Space (Live from a16z) + Meet the Guests[00:00:00] Alessio: Hey everyone. Welcome to the Latent Space podcast, live from a 16 z. Uh, this is Alessio founder Kernel Lance, and I'm joined by Twix, editor of Latent Space.[00:00:08] swyx: Hey, hey, hey. Uh, and we're so glad to be on with you guys. Also a top AI podcast, uh, Martin Cado and Sarah Wang. Welcome, very[00:00:16] Martin Casado: happy to be here and welcome.[00:00:17] swyx: Yes, uh, we love this office. We love what you've done with the place. Uh, the new logo is everywhere now. It's, it's still getting, takes a while to get used to, but it reminds me of like sort of a callback to a more ambitious age, which I think is kind of[00:00:31] Martin Casado: definitely makes a statement.[00:00:33] swyx: Yeah.[00:00:34] Martin Casado: Not quite sure what that statement is, but it makes a statement.[00:00:37] swyx: Uh, Martin, I go back with you to Netlify.[00:00:40] Martin Casado: Yep.[00:00:40] swyx: Uh, and, uh, you know, you create a software defined networking and all, all that stuff people can read up on your background. Yep. Sarah, I'm newer to you. Uh, you, you sort of started working together on AI infrastructure stuff.[00:00:51] Sarah Wang: That's right. Yeah. Seven, seven years ago now.[00:00:53] Martin Casado: Best growth investor in the entire industry.[00:00:55] swyx: Oh, say[00:00:56] Martin Casado: more hands down there is, there is. [00:01:00] I mean, when it comes to AI companies, Sarah, I think has done the most kind of aggressive, um, investment thesis around AI models, right? So, worked for Nom Ja, Mira Ia, FEI Fey, and so just these frontier, kind of like large AI models.[00:01:15] I think, you know, Sarah's been the, the broadest investor. Is that fair?[00:01:20] Venture vs. Growth in the Frontier Model Era[00:01:20] Sarah Wang: No, I, well, I was gonna say, I think it's been a really interesting tag, tag team actually just ‘cause the, a lot of these big C deals, not only are they raising a lot of money, um, it's still a tech founder bet, which obviously is inherently early stage.[00:01:33] But the resources,[00:01:36] Martin Casado: so many, I[00:01:36] Sarah Wang: was gonna say the resources one, they just grow really quickly. But then two, the resources that they need day one are kind of growth scale. So I, the hybrid tag team that we have is. Quite effective, I think,[00:01:46] Martin Casado: what is growth these days? You know, you don't wake up if it's less than a billion or like, it's, it's actually, it's actually very like, like no, it's a very interesting time in investing because like, you know, take like the character around, right?[00:01:59] These tend to [00:02:00] be like pre monetization, but the dollars are large enough that you need to have a larger fund and the analysis. You know, because you've got lots of users. ‘cause this stuff has such high demand requires, you know, more of a number sophistication. And so most of these deals, whether it's US or other firms on these large model companies, are like this hybrid between venture growth.[00:02:18] Sarah Wang: Yeah. Total. And I think, you know, stuff like BD for example, you wouldn't usually need BD when you were seed stage trying to get market biz Devrel. Biz Devrel, exactly. Okay. But like now, sorry, I'm,[00:02:27] swyx: I'm not familiar. What, what, what does biz Devrel mean for a venture fund? Because I know what biz Devrel means for a company.[00:02:31] Sarah Wang: Yeah.[00:02:32] Compute Deals, Strategics, and the ‘Circular Funding' Question[00:02:32] Sarah Wang: You know, so a, a good example is, I mean, we talk about buying compute, but there's a huge negotiation involved there in terms of, okay, do you get equity for the compute? What, what sort of partner are you looking at? Is there a go-to market arm to that? Um, and these are just things on this scale, hundreds of millions, you know, maybe.[00:02:50] Six months into the inception of a company, you just wouldn't have to negotiate these deals before.[00:02:54] Martin Casado: Yeah. These large rounds are very complex now. Like in the past, if you did a series A [00:03:00] or a series B, like whatever, you're writing a 20 to a $60 million check and you call it a day. Now you normally have financial investors and strategic investors, and then the strategic portion always still goes with like these kind of large compute contracts, which can take months to do.[00:03:13] And so it's, it's very different ties. I've been doing this for 10 years. It's the, I've never seen anything like this.[00:03:19] swyx: Yeah. Do you have worries about the circular funding from so disease strategics?[00:03:24] Martin Casado: I mean, listen, as long as the demand is there, like the demand is there. Like the problem with the internet is the demand wasn't there.[00:03:29] swyx: Exactly. All right. This, this is like the, the whole pyramid scheme bubble thing, where like, as long as you mark to market on like the notional value of like, these deals, fine, but like once it starts to chip away, it really Well[00:03:41] Martin Casado: no, like as, as, as, as long as there's demand. I mean, you know, this, this is like a lot of these sound bites have already become kind of cliches, but they're worth saying it.[00:03:47] Right? Like during the internet days, like we were. Um, raising money to put fiber in the ground that wasn't used. And that's a problem, right? Because now you actually have a supply overhang.[00:03:58] swyx: Mm-hmm.[00:03:59] Martin Casado: And even in the, [00:04:00] the time of the, the internet, like the supply and, and bandwidth overhang, even as massive as it was in, as massive as the crash was only lasted about four years.[00:04:09] But we don't have a supply overhang. Like there's no dark GPUs, right? I mean, and so, you know, circular or not, I mean, you know, if, if someone invests in a company that, um. You know, they'll actually use the GPUs. And on the other side of it is the, is the ask for customer. So I I, I think it's a different time.[00:04:25] Sarah Wang: I think the other piece, maybe just to add onto this, and I'm gonna quote Martine in front of him, but this is probably also a unique time in that. For the first time, you can actually trace dollars to outcomes. Yeah, right. Provided that scaling laws are, are holding, um, and capabilities are actually moving forward.[00:04:40] Because if you can put translate dollars into capabilities, uh, a capability improvement, there's demand there to martine's point. But if that somehow breaks, you know, obviously that's an important assumption in this whole thing to make it work. But you know, instead of investing dollars into sales and marketing, you're, you're investing into r and d to get to the capability, um, you know, increase.[00:04:59] And [00:05:00] that's sort of been the demand driver because. Once there's an unlock there, people are willing to pay for it.[00:05:05] Alessio: Yeah.[00:05:06] Blurring Lines: Models as Infra + Apps, and the New Fundraising Flywheel[00:05:06] Alessio: Is there any difference in how you built the portfolio now that some of your growth companies are, like the infrastructure of the early stage companies, like, you know, OpenAI is now the same size as some of the cloud providers were early on.[00:05:16] Like what does that look like? Like how much information can you feed off each other between the, the two?[00:05:24] Martin Casado: There's so many lines that are being crossed right now, or blurred. Right. So we already talked about venture and growth. Another one that's being blurred is between infrastructure and apps, right? So like what is a model company?[00:05:35] Mm-hmm. Like, it's clearly infrastructure, right? Because it's like, you know, it's doing kind of core r and d. It's a horizontal platform, but it's also an app because it's um, uh, touches the users directly. And then of course. You know, the, the, the growth of these is just so high. And so I actually think you're just starting to see a, a, a new financing strategy emerge and, you know, we've had to adapt as a result of that.[00:05:59] And [00:06:00] so there's been a lot of changes. Um, you're right that these companies become platform companies very quickly. You've got ecosystem build out. So none of this is necessarily new, but the timescales of which it's happened is pretty phenomenal. And the way we'd normally cut lines before is blurred a little bit, but.[00:06:16] But that, that, that said, I mean, a lot of it also just does feel like things that we've seen in the past, like cloud build out the internet build out as well.[00:06:24] Sarah Wang: Yeah. Um, yeah, I think it's interesting, uh, I don't know if you guys would agree with this, but it feels like the emerging strategy is, and this builds off of your other question, um.[00:06:33] You raise money for compute, you pour that or you, you pour the money into compute, you get some sort of breakthrough. You funnel the breakthrough into your vertically integrated application. That could be chat GBT, that could be cloud code, you know, whatever it is. You massively gain share and get users.[00:06:49] Maybe you're even subsidizing at that point. Um, depending on your strategy. You raise money at the peak momentum and then you repeat, rinse and repeat. Um, and so. And that wasn't [00:07:00] true even two years ago, I think. Mm-hmm. And so it's sort of to your, just tying it to fundraising strategy, right? There's a, and hiring strategy.[00:07:07] All of these are tied, I think the lines are blurring even more today where everyone is, and they, but of course these companies all have API businesses and so they're these, these frenemy lines that are getting blurred in that a lot of, I mean, they have billions of dollars of API revenue, right? And so there are customers there.[00:07:23] But they're competing on the app layer.[00:07:24] Martin Casado: Yeah. So this is a really, really important point. So I, I would say for sure, venture and growth, that line is blurry app and infrastructure. That line is blurry. Um, but I don't think that that changes our practice so much. But like where the very open questions are like, does this layer in the same way.[00:07:43] Compute traditionally has like during the cloud is like, you know, like whatever, somebody wins one layer, but then another whole set of companies wins another layer. But that might not, might not be the case here. It may be the case that you actually can't verticalize on the token string. Like you can't build an app like it, it necessarily goes down just because there are no [00:08:00] abstractions.[00:08:00] So those are kinda the bigger existential questions we ask. Another thing that is very different this time than in the history of computer sciences is. In the past, if you raised money, then you basically had to wait for engineering to catch up. Which famously doesn't scale like the mythical mammoth. It take a very long time.[00:08:18] But like that's not the case here. Like a model company can raise money and drop a model in a, in a year, and it's better, right? And, and it does it with a team of 20 people or 10 people. So this type of like money entering a company and then producing something that has demand and growth right away and using that to raise more money is a very different capital flywheel than we've ever seen before.[00:08:39] And I think everybody's trying to understand what the consequences are. So I think it's less about like. Big companies and growth and this, and more about these more systemic questions that we actually don't have answers to.[00:08:49] Alessio: Yeah, like at Kernel Labs, one of our ideas is like if you had unlimited money to spend productively to turn tokens into products, like the whole early stage [00:09:00] market is very different because today you're investing X amount of capital to win a deal because of price structure and whatnot, and you're kind of pot committing.[00:09:07] Yeah. To a certain strategy for a certain amount of time. Yeah. But if you could like iteratively spin out companies and products and just throw, I, I wanna spend a million dollar of inference today and get a product out tomorrow.[00:09:18] swyx: Yeah.[00:09:19] Alessio: Like, we should get to the point where like the friction of like token to product is so low that you can do this and then you can change the Right, the early stage venture model to be much more iterative.[00:09:30] And then every round is like either 100 k of inference or like a hundred million from a 16 Z. There's no, there's no like $8 million C round anymore. Right.[00:09:38] When Frontier Labs Outspend the Entire App Ecosystem[00:09:38] Martin Casado: But, but, but, but there's a, there's a, the, an industry structural question that we don't know the answer to, which involves the frontier models, which is, let's take.[00:09:48] Anthropic it. Let's say Anthropic has a state-of-the-art model that has some large percentage of market share. And let's say that, uh, uh, uh, you know, uh, a company's building smaller models [00:10:00] that, you know, use the bigger model in the background, open 4.5, but they add value on top of that. Now, if Anthropic can raise three times more.[00:10:10] Every subsequent round, they probably can raise more money than the entire app ecosystem that's built on top of it. And if that's the case, they can expand beyond everything built on top of it. It's like imagine like a star that's just kind of expanding, so there could be a systemic. There could be a, a systemic situation where the soda models can raise so much money that they can out pay anybody that bills on top of ‘em, which would be something I don't think we've ever seen before just because we were so bottlenecked in engineering, and this is a very open question.[00:10:41] swyx: Yeah. It's, it is almost like bitter lesson applied to the startup industry.[00:10:45] Martin Casado: Yeah, a hundred percent. It literally becomes an issue of like raise capital, turn that directly into growth. Use that to raise three times more. Exactly. And if you can keep doing that, you literally can outspend any company that's built the, not any company.[00:10:57] You can outspend the aggregate of companies on top of [00:11:00] you and therefore you'll necessarily take their share, which is crazy.[00:11:02] swyx: Would you say that kind of happens in character? Is that the, the sort of postmortem on. What happened?[00:11:10] Sarah Wang: Um,[00:11:10] Martin Casado: no.[00:11:12] Sarah Wang: Yeah, because I think so,[00:11:13] swyx: I mean the actual postmortem is, he wanted to go back to Google.[00:11:15] Exactly. But like[00:11:18] Martin Casado: that's another difference that[00:11:19] Sarah Wang: you said[00:11:21] Martin Casado: it. We should talk, we should actually talk about that.[00:11:22] swyx: Yeah,[00:11:22] Sarah Wang: that's[00:11:23] swyx: Go for it. Take it. Take,[00:11:23] Sarah Wang: yeah.[00:11:24] Character.AI, Founder Goals (AGI vs Product), and GPU Allocation Tradeoffs[00:11:24] Sarah Wang: I was gonna say, I think, um. The, the, the character thing raises actually a different issue, which actually the Frontier Labs will face as well. So we'll see how they handle it.[00:11:34] But, um, so we invest in character in January, 2023, which feels like eons ago, I mean, three years ago. Feels like lifetimes ago. But, um, and then they, uh, did the IP licensing deal with Google in August, 2020. Uh, four. And so, um, you know, at the time, no, you know, he's talked publicly about this, right? He wanted to Google wouldn't let him put out products in the world.[00:11:56] That's obviously changed drastically. But, um, he went to go do [00:12:00] that. Um, but he had a product attached. The goal was, I mean, it's Nome Shair, he wanted to get to a GI. That was always his personal goal. But, you know, I think through collecting data, right, and this sort of very human use case, that the character product.[00:12:13] Originally was and still is, um, was one of the vehicles to do that. Um, I think the real reason that, you know. I if you think about the, the stress that any company feels before, um, you ultimately going one way or the other is sort of this a GI versus product. Um, and I think a lot of the big, I think, you know, opening eyes, feeling that, um, anthropic if they haven't started, you know, felt it, certainly given the success of their products, they may start to feel that soon.[00:12:39] And the real. I think there's real trade-offs, right? It's like how many, when you think about GPUs, that's a limited resource. Where do you allocate the GPUs? Is it toward the product? Is it toward new re research? Right? Is it, or long-term research, is it toward, um, n you know, near to midterm research? And so, um, in a case where you're resource constrained, um, [00:13:00] of course there's this fundraising game you can play, right?[00:13:01] But the fund, the market was very different back in 2023 too. Um. I think the best researchers in the world have this dilemma of, okay, I wanna go all in on a GI, but it's the product usage revenue flywheel that keeps the revenue in the house to power all the GPUs to get to a GI. And so it does make, um, you know, I think it sets up an interesting dilemma for any startup that has trouble raising up until that level, right?[00:13:27] And certainly if you don't have that progress, you can't continue this fly, you know, fundraising flywheel.[00:13:32] Martin Casado: I would say that because, ‘cause we're keeping track of all of the things that are different, right? Like, you know, venture growth and uh, app infra and one of the ones is definitely the personalities of the founders.[00:13:45] It's just very different this time I've been. Been doing this for a decade and I've been doing startups for 20 years. And so, um, I mean a lot of people start this to do a GI and we've never had like a unified North star that I recall in the same [00:14:00] way. Like people built companies to start companies in the past.[00:14:02] Like that was what it was. Like I would create an internet company, I would create infrastructure company, like it's kind of more engineering builders and this is kind of a different. You know, mentality. And some companies have harnessed that incredibly well because their direction is so obviously on the path to what somebody would consider a GI, but others have not.[00:14:20] And so like there is always this tension with personnel. And so I think we're seeing more kind of founder movement.[00:14:27] Sarah Wang: Yeah.[00:14:27] Martin Casado: You know, as a fraction of founders than we've ever seen. I mean, maybe since like, I don't know the time of like Shockly and the trade DUR aid or something like that. Way back in the beginning of the industry, I, it's a very, very.[00:14:38] Unusual time of personnel.[00:14:39] Sarah Wang: Totally.[00:14:40] Talent Wars, Mega-Comp, and the Rise of Acquihire M&A[00:14:40] Sarah Wang: And it, I think it's exacerbated by the fact that talent wars, I mean, every industry has talent wars, but not at this magnitude, right? No. Yeah. Very rarely can you see someone get poached for $5 billion. That's hard to compete with. And then secondly, if you're a founder in ai, you could fart and it would be on the front page of, you know, the information these days.[00:14:59] And so there's [00:15:00] sort of this fishbowl effect that I think adds to the deep anxiety that, that these AI founders are feeling.[00:15:06] Martin Casado: Hmm.[00:15:06] swyx: Uh, yes. I mean, just on, uh, briefly comment on the founder, uh, the sort of. Talent wars thing. I feel like 2025 was just like a blip. Like I, I don't know if we'll see that again.[00:15:17] ‘cause meta built the team. Like, I don't know if, I think, I think they're kind of done and like, who's gonna pay more than meta? I, I don't know.[00:15:23] Martin Casado: I, I agree. So it feels so, it feel, it feels this way to me too. It's like, it is like, basically Zuckerberg kind of came out swinging and then now he's kind of back to building.[00:15:30] Yeah,[00:15:31] swyx: yeah. You know, you gotta like pay up to like assemble team to rush the job, whatever. But then now, now you like you, you made your choices and now they got a ship.[00:15:38] Martin Casado: I mean, the, the o other side of that is like, you know, like we're, we're actually in the job hiring market. We've got 600 people here. I hire all the time.[00:15:44] I've got three open recs if anybody's interested, that's listening to this for investor. Yeah, on, on the team, like on the investing side of the team, like, and, um, a lot of the people we talk to have acting, you know, active, um, offers for 10 million a year or something like that. And like, you know, and we pay really, [00:16:00] really well.[00:16:00] And just to see what's out on the market is really, is really remarkable. And so I would just say it's actually, so you're right, like the really flashy one, like I will get someone for, you know, a billion dollars, but like the inflated, um, uh, trickles down. Yeah, it is still very active today. I mean,[00:16:18] Sarah Wang: yeah, you could be an L five and get an offer in the tens of millions.[00:16:22] Okay. Yeah. Easily. Yeah. It's so I think you're right that it felt like a blip. I hope you're right. Um, but I think it's been, the steady state is now, I think got pulled up. Yeah. Yeah. I'll pull up for[00:16:31] Martin Casado: sure. Yeah.[00:16:32] Alessio: Yeah. And I think that's breaking the early stage founder math too. I think before a lot of people would be like, well, maybe I should just go be a founder instead of like getting paid.[00:16:39] Yeah. 800 KA million at Google. But if I'm getting paid. Five, 6 million. That's different but[00:16:45] Martin Casado: on. But on the other hand, there's more strategic money than we've ever seen historically, right? Mm-hmm. And so, yep. The economics, the, the, the, the calculus on the economics is very different in a number of ways. And, uh, it's crazy.[00:16:58] It's cra it's causing like a, [00:17:00] a, a, a ton of change in confusion in the market. Some very positive, sub negative, like, so for example, the other side of the, um. The co-founder, like, um, acquisition, you know, mark Zuckerberg poaching someone for a lot of money is like, we were actually seeing historic amount of m and a for basically acquihires, right?[00:17:20] That you like, you know, really good outcomes from a venture perspective that are effective acquihires, right? So I would say it's probably net positive from the investment standpoint, even though it seems from the headlines to be very disruptive in a negative way.[00:17:33] Alessio: Yeah.[00:17:33] What's Underfunded: Boring Software, Robotics Skepticism, and Custom Silicon Economics[00:17:33] Alessio: Um, let's talk maybe about what's not being invested in, like maybe some interesting ideas that you would see more people build or it, it seems in a way, you know, as ycs getting more popular, it's like access getting more popular.[00:17:47] There's a startup school path that a lot of founders take and they know what's hot in the VC circles and they know what gets funded. Uh, and there's maybe not as much risk appetite for. Things outside of that. Um, I'm curious if you feel [00:18:00] like that's true and what are maybe, uh, some of the areas, uh, that you think are under discussed?[00:18:06] Martin Casado: I mean, I actually think that we've taken our eye off the ball in a lot of like, just traditional, you know, software companies. Um, so like, I mean. You know, I think right now there's almost a barbell, like you're like the hot thing on X, you're deep tech.[00:18:21] swyx: Mm-hmm.[00:18:22] Martin Casado: Right. But I, you know, I feel like there's just kind of a long, you know, list of like good.[00:18:28] Good companies that will be around for a long time in very large markets. Say you're building a database, you know, say you're building, um, you know, kind of monitoring or logging or tooling or whatever. There's some good companies out there right now, but like, they have a really hard time getting, um, the attention of investors.[00:18:43] And it's almost become a meme, right? Which is like, if you're not basically growing from zero to a hundred in a year, you're not interesting, which is just, is the silliest thing to say. I mean, think of yourself as like an introvert person, like, like your personal money, right? Mm-hmm. So. Your personal money, will you put it in the stock market at 7% or you put it in this company growing five x in a very large [00:19:00] market?[00:19:00] Of course you can put it in the company five x. So it's just like we say these stupid things, like if you're not going from zero to a hundred, but like those, like who knows what the margins of those are mean. Clearly these are good investments. True for anybody, right? True. Like our LPs want whatever.[00:19:12] Three x net over, you know, the life cycle of a fund, right? So a, a company in a big market growing five X is a great investment. We'd, everybody would be happy with these returns, but we've got this kind of mania on these, these strong growths. And so I would say that that's probably the most underinvested sector.[00:19:28] Right now.[00:19:29] swyx: Boring software, boring enterprise software.[00:19:31] Martin Casado: Traditional. Really good company.[00:19:33] swyx: No, no AI here.[00:19:34] Martin Casado: No. Like boring. Well, well, the AI of course is pulling them into use cases. Yeah, but that's not what they're, they're not on the token path, right? Yeah. Let's just say that like they're software, but they're not on the token path.[00:19:41] Like these are like they're great investments from any definition except for like random VC on Twitter saying VC on x, saying like, it's not growing fast enough. What do you[00:19:52] Sarah Wang: think? Yeah, maybe I'll answer a slightly different. Question, but adjacent to what you asked, um, which is maybe an area that we're not, uh, investing [00:20:00] right now that I think is a question and we're spending a lot of time in regardless of whether we pull the trigger or not.[00:20:05] Um, and it would probably be on the hardware side, actually. Robotics, right? And the robotics side. Robotics. Right. Which is, it's, I don't wanna say that it's not getting funding ‘cause it's clearly, uh, it's, it's sort of non-consensus to almost not invest in robotics at this point. But, um, we spent a lot of time in that space and I think for us, we just haven't seen the chat GPT moment.[00:20:22] Happen on the hardware side. Um, and the funding going into it feels like it's already. Taking that for granted.[00:20:30] Martin Casado: Yeah. Yeah. But we also went through the drone, you know, um, there's a zip line right, right out there. What's that? Oh yeah, there's a zip line. Yeah. What the drone, what the av And like one of the takeaways is when it comes to hardware, um, most companies will end up verticalizing.[00:20:46] Like if you're. If you're investing in a robot company for an A for agriculture, you're investing in an ag company. ‘cause that's the competition and that's surprising. And that's supply chain. And if you're doing it for mining, that's mining. And so the ad team does a lot of that type of stuff ‘cause they actually set up to [00:21:00] diligence that type of work.[00:21:01] But for like horizontal technology investing, there's very little when it comes to robots just because it's so fit for, for purpose. And so we kinda like to look at software. Solutions or horizontal solutions like applied intuition. Clearly from the AV wave deep map, clearly from the AV wave, I would say scale AI was actually a horizontal one for That's fair, you know, for robotics early on.[00:21:23] And so that sort of thing we're very, very interested. But the actual like robot interacting with the world is probably better for different team. Agree.[00:21:30] Alessio: Yeah, I'm curious who these teams are supposed to be that invest in them. I feel like everybody's like, yeah, robotics, it's important and like people should invest in it.[00:21:38] But then when you look at like the numbers, like the capital requirements early on versus like the moment of, okay, this is actually gonna work. Let's keep investing. That seems really hard to predict in a way that is not,[00:21:49] Martin Casado: I think co, CO two, kla, gc, I mean these are all invested in in Harvard companies. He just, you know, and [00:22:00] listen, I mean, it could work this time for sure.[00:22:01] Right? I mean if Elon's doing it, he's like, right. Just, just the fact that Elon's doing it means that there's gonna be a lot of capital and a lot of attempts for a long period of time. So that alone maybe suggests that we should just be investing in robotics just ‘cause you have this North star who's Elon with a humanoid and that's gonna like basically willing into being an industry.[00:22:17] Um, but we've just historically found like. We're a huge believer that this is gonna happen. We just don't feel like we're in a good position to diligence these things. ‘cause again, robotics companies tend to be vertical. You really have to understand the market they're being sold into. Like that's like that competitive equilibrium with a human being is what's important.[00:22:34] It's not like the core tech and like we're kind of more horizontal core tech type investors. And this is Sarah and I. Yeah, the ad team is different. They can actually do these types of things.[00:22:42] swyx: Uh, just to clarify, AD stands for[00:22:44] Martin Casado: American Dynamism.[00:22:45] swyx: Alright. Okay. Yeah, yeah, yeah. Uh, I actually, I do have a related question that, first of all, I wanna acknowledge also just on the, on the chip side.[00:22:51] Yeah. I, I recall a podcast that where you were on, i, I, I think it was the a CC podcast, uh, about two or three years ago where you, where you suddenly said [00:23:00] something, which really stuck in my head about how at some point, at some point kind of scale it makes sense to. Build a custom aic Yes. For per run.[00:23:07] Martin Casado: Yes.[00:23:07] It's crazy. Yeah.[00:23:09] swyx: We're here and I think you, you estimated 500 billion, uh, something.[00:23:12] Martin Casado: No, no, no. A billion, a billion dollar training run of $1 billion training run. It makes sense to actually do a custom meic if you can do it in time. The question now is timelines. Yeah, but not money because just, just, just rough math.[00:23:22] If it's a billion dollar training. Then the inference for that model has to be over a billion, otherwise it won't be solvent. So let's assume it's, if you could save 20%, which you could save much more than that with an ASIC 20%, that's $200 million. You can tape out a chip for $200 million. Right? So now you can literally like justify economically, not timeline wise.[00:23:41] That's a different issue. An ASIC per model, which[00:23:44] swyx: is because that, that's how much we leave on the table every single time. We, we, we do like generic Nvidia.[00:23:48] Martin Casado: Exactly. Exactly. No, it, it is actually much more than that. You could probably get, you know, a factor of two, which would be 500 million.[00:23:54] swyx: Typical MFU would be like 50.[00:23:55] Yeah, yeah. And that's good.[00:23:57] Martin Casado: Exactly. Yeah. Hundred[00:23:57] swyx: percent. Um, so, so, yeah, and I mean, and I [00:24:00] just wanna acknowledge like, here we are in, in, in 2025 and opening eyes confirming like Broadcom and all the other like custom silicon deals, which is incredible. I, I think that, uh, you know, speaking about ad there's, there's a really like interesting tie in that obviously you guys are hit on, which is like these sort, this sort of like America first movement or like sort of re industrialized here.[00:24:17] Yeah. Uh, move TSMC here, if that's possible. Um, how much overlap is there from ad[00:24:23] Martin Casado: Yeah.[00:24:23] swyx: To, I guess, growth and, uh, investing in particularly like, you know, US AI companies that are strongly bounded by their compute.[00:24:32] Martin Casado: Yeah. Yeah. So I mean, I, I would view, I would view AD as more as a market segmentation than like a mission, right?[00:24:37] So the market segmentation is, it has kind of regulatory compliance issues or government, you know, sale or it deals with like hardware. I mean, they're just set up to, to, to, to, to. To diligence those types of companies. So it's a more of a market segmentation thing. I would say the entire firm. You know, which has been since it is been intercepted, you know, has geographical biases, right?[00:24:58] I mean, for the longest time we're like, you [00:25:00] know, bay Area is gonna be like, great, where the majority of the dollars go. Yeah. And, and listen, there, there's actually a lot of compounding effects for having a geographic bias. Right. You know, everybody's in the same place. You've got an ecosystem, you're there, you've got presence, you've got a network.[00:25:12] Um, and, uh, I mean, I would say the Bay area's very much back. You know, like I, I remember during pre COVID, like it was like almost Crypto had kind of. Pulled startups away. Miami from the Bay Area. Miami, yeah. Yeah. New York was, you know, because it's so close to finance, came up like Los Angeles had a moment ‘cause it was so close to consumer, but now it's kind of come back here.[00:25:29] And so I would say, you know, we tend to be very Bay area focused historically, even though of course we've asked all over the world. And then I would say like, if you take the ring out, you know, one more, it's gonna be the US of course, because we know it very well. And then one more is gonna be getting us and its allies and Yeah.[00:25:44] And it goes from there.[00:25:45] Sarah Wang: Yeah,[00:25:45] Martin Casado: sorry.[00:25:46] Sarah Wang: No, no. I agree. I think from a, but I think from the intern that that's sort of like where the companies are headquartered. Maybe your questions on supply chain and customer base. Uh, I, I would say our customers are, are, our companies are fairly international from that perspective.[00:25:59] Like they're selling [00:26:00] globally, right? They have global supply chains in some cases.[00:26:03] Martin Casado: I would say also the stickiness is very different.[00:26:05] Sarah Wang: Yeah.[00:26:05] Martin Casado: Historically between venture and growth, like there's so much company building in venture, so much so like hiring the next PM. Introducing the customer, like all of that stuff.[00:26:15] Like of course we're just gonna be stronger where we have our network and we've been doing business for 20 years. I've been in the Bay Area for 25 years, so clearly I'm just more effective here than I would be somewhere else. Um, where I think, I think for some of the later stage rounds, the companies don't need that much help.[00:26:30] They're already kind of pretty mature historically, so like they can kind of be everywhere. So there's kind of less of that stickiness. This is different in the AI time. I mean, Sarah is now the, uh, chief of staff of like half the AI companies in, uh, in the Bay Area right now. She's like, ops Ninja Biz, Devrel, BizOps.[00:26:48] swyx: Are, are you, are you finding much AI automation in your work? Like what, what is your stack.[00:26:53] Sarah Wang: Oh my, in my personal stack.[00:26:54] swyx: I mean, because like, uh, by the way, it's the, the, the reason for this is it is triggering, uh, yeah. We, like, I'm hiring [00:27:00] ops, ops people. Um, a lot of ponders I know are also hiring ops people and I'm just, you know, it's opportunity Since you're, you're also like basically helping out with ops with a lot of companies.[00:27:09] What are people doing these days? Because it's still very manual as far as I can tell.[00:27:13] Sarah Wang: Hmm. Yeah. I think the things that we help with are pretty network based, um, in that. It's sort of like, Hey, how do do I shortcut this process? Well, let's connect you to the right person. So there's not quite an AI workflow for that.[00:27:26] I will say as a growth investor, Claude Cowork is pretty interesting. Yeah. Like for the first time, you can actually get one shot data analysis. Right. Which, you know, if you're gonna do a customer database, analyze a cohort retention, right? That's just stuff that you had to do by hand before. And our team, the other, it was like midnight and the three of us were playing with Claude Cowork.[00:27:47] We gave it a raw file. Boom. Perfectly accurate. We checked the numbers. It was amazing. That was my like, aha moment. That sounds so boring. But you know, that's, that's the kind of thing that a growth investor is like, [00:28:00] you know, slaving away on late at night. Um, done in a few seconds.[00:28:03] swyx: Yeah. You gotta wonder what the whole, like, philanthropic labs, which is like their new sort of products studio.[00:28:10] Yeah. What would that be worth as an independent, uh, startup? You know, like a[00:28:14] Martin Casado: lot.[00:28:14] Sarah Wang: Yeah, true.[00:28:16] swyx: Yeah. You[00:28:16] Martin Casado: gotta hand it to them. They've been executing incredibly well.[00:28:19] swyx: Yeah. I, I mean, to me, like, you know, philanthropic, like building on cloud code, I think, uh, it makes sense to me the, the real. Um, pedal to the metal, whatever the, the, the phrase is, is when they start coming after consumer with, uh, against OpenAI and like that is like red alert at Open ai.[00:28:35] Oh, I[00:28:35] Martin Casado: think they've been pretty clear. They're enterprise focused.[00:28:37] swyx: They have been, but like they've been free. Here's[00:28:40] Martin Casado: care publicly,[00:28:40] swyx: it's enterprise focused. It's coding. Right. Yeah.[00:28:43] AI Labs vs Startups: Disruption, Undercutting & the Innovator's Dilemma[00:28:43] swyx: And then, and, but here's cloud, cloud, cowork, and, and here's like, well, we, uh, they, apparently they're running Instagram ads for Claudia.[00:28:50] I, on, you know, for, for people on, I get them all the time. Right. And so, like,[00:28:54] Martin Casado: uh,[00:28:54] swyx: it, it's kind of like this, the disruption thing of, uh, you know. Mo Open has been doing, [00:29:00] consumer been doing the, just pursuing general intelligence in every mo modality, and here's a topic that only focus on this thing, but now they're sort of undercutting and doing the whole innovator's dilemma thing on like everything else.[00:29:11] Martin Casado: It's very[00:29:11] swyx: interesting.[00:29:12] Martin Casado: Yeah, I mean there's, there's a very open que so for me there's like, do you know that meme where there's like the guy in the path and there's like a path this way? There's a path this way. Like one which way Western man. Yeah. Yeah.[00:29:23] Two Futures for AI: Infinite Market vs AGI Oligopoly[00:29:23] Martin Casado: And for me, like, like all the entire industry kind of like hinges on like two potential futures.[00:29:29] So in, in one potential future, um, the market is infinitely large. There's perverse economies of scale. ‘cause as soon as you put a model out there, like it kind of sublimates and all the other models catch up and like, it's just like software's being rewritten and fractured all over the place and there's tons of upside and it just grows.[00:29:48] And then there's another path which is like, well. Maybe these models actually generalize really well, and all you have to do is train them with three times more money. That's all you have to [00:30:00] do, and it'll just consume everything beyond it. And if that's the case, like you end up with basically an oligopoly for everything, like, you know mm-hmm.[00:30:06] Because they're perfectly general and like, so this would be like the, the a GI path would be like, these are perfectly general. They can do everything. And this one is like, this is actually normal software. The universe is complicated. You've got, and nobody knows the answer.[00:30:18] The Economics Reality Check: Gross Margins, Training Costs & Borrowing Against the Future[00:30:18] Martin Casado: My belief is if you actually look at the numbers of these companies, so generally if you look at the numbers of these companies, if you look at like the amount they're making and how much they, they spent training the last model, they're gross margin positive.[00:30:30] You're like, oh, that's really working. But if you look at like. The current training that they're doing for the next model, their gross margin negative. So part of me thinks that a lot of ‘em are kind of borrowing against the future and that's gonna have to slow down. It's gonna catch up to them at some point in time, but we don't really know.[00:30:47] Sarah Wang: Yeah.[00:30:47] Martin Casado: Does that make sense? Like, I mean, it could be, it could be the case that the only reason this is working is ‘cause they can raise that next round and they can train that next model. ‘cause these models have such a short. Life. And so at some point in time, like, you know, they won't be able to [00:31:00] raise that next round for the next model and then things will kind of converge and fragment again.[00:31:03] But right now it's not.[00:31:04] Sarah Wang: Totally. I think the other, by the way, just, um, a meta point. I think the other lesson from the last three years is, and we talk about this all the time ‘cause we're on this. Twitter X bubble. Um, cool. But, you know, if you go back to, let's say March, 2024, that period, it felt like a, I think an open source model with an, like a, you know, benchmark leading capability was sort of launching on a daily basis at that point.[00:31:27] And, um, and so that, you know, that's one period. Suddenly it's sort of like open source takes over the world. There's gonna be a plethora. It's not an oligopoly, you know, if you fast, you know, if you, if you rewind time even before that GPT-4 was number one for. Nine months, 10 months. It's a long time. Right.[00:31:44] Um, and of course now we're in this era where it feels like an oligopoly, um, maybe some very steady state shifts and, and you know, it could look like this in the future too, but it just, it's so hard to call. And I think the thing that keeps, you know, us up at [00:32:00] night in, in a good way and bad way, is that the capability progress is actually not slowing down.[00:32:06] And so until that happens, right, like you don't know what's gonna look like.[00:32:09] Martin Casado: But I, I would, I would say for sure it's not converged, like for sure, like the systemic capital flows have not converged, meaning right now it's still borrowing against the future to subsidize growth currently, which you can do that for a period of time.[00:32:23] But, but you know, at the end, at some point the market will rationalize that and just nobody knows what that will look like.[00:32:29] Alessio: Yeah.[00:32:29] Martin Casado: Or, or like the drop in price of compute will, will, will save them. Who knows?[00:32:34] Alessio: Yeah. Yeah. I think the models need to ask them to, to specific tasks. You know? It's like, okay, now Opus 4.5 might be a GI at some specific task, and now you can like depreciate the model over a longer time.[00:32:45] I think now, now, right now there's like no old model.[00:32:47] Martin Casado: No, but let, but lemme just change that mental, that's, that used to be my mental model. Lemme just change it a little bit.[00:32:53] Capital as a Weapon vs Task Saturation: Where Real Enterprise Value Gets Built[00:32:53] Martin Casado: If you can raise three times, if you can raise more than the aggregate of anybody that uses your models, that doesn't even matter.[00:32:59] It doesn't [00:33:00] even matter. See what I'm saying? Like, yeah. Yeah. So, so I have an API Business. My API business is 60% margin, or 70% margin, or 80% margin is a high margin business. So I know what everybody is using. If I can raise more money than the aggregate of everybody that's using it, I will consume them whether I'm a GI or not.[00:33:14] And I will know if they're using it ‘cause they're using it. And like, unlike in the past where engineering stops me from doing that.[00:33:21] Alessio: Mm-hmm.[00:33:21] Martin Casado: It is very straightforward. You just train. So I also thought it was kind of like, you must ask the code a GI, general, general, general. But I think there's also just a possibility that the, that the capital markets will just give them the, the, the ammunition to just go after everybody on top of ‘em.[00:33:36] Sarah Wang: I, I do wonder though, to your point, um, if there's a certain task that. Getting marginally better isn't actually that much better. Like we've asked them to it, to, you know, we can call it a GI or whatever, you know, actually, Ali Goi talks about this, like we're already at a GI for a lot of functions in the enterprise.[00:33:50] Um. That's probably those for those tasks, you probably could build very specific companies that focus on just getting as much value out of that task that isn't [00:34:00] coming from the model itself. There's probably a rich enterprise business to be built there. I mean, could be wrong on that, but there's a lot of interesting examples.[00:34:08] So, right, if you're looking the legal profession or, or whatnot, and maybe that's not a great one ‘cause the models are getting better on that front too, but just something where it's a bit saturated, then the value comes from. Services. It comes from implementation, right? It comes from all these things that actually make it useful to the end customer.[00:34:24] Martin Casado: Sorry, what am I, one more thing I think is, is underused in all of this is like, to what extent every task is a GI complete.[00:34:31] Sarah Wang: Mm-hmm.[00:34:32] Martin Casado: Yeah. I code every day. It's so fun.[00:34:35] Sarah Wang: That's a core question. Yeah.[00:34:36] Martin Casado: And like. When I'm talking to these models, it's not just code. I mean, it's everything, right? Like I, you know, like it's,[00:34:43] swyx: it's healthcare.[00:34:44] It's,[00:34:44] Martin Casado: I mean, it's[00:34:44] swyx: Mele,[00:34:45] Martin Casado: but it's every, it is exactly that. Like, yeah, that's[00:34:47] Sarah Wang: great support. Yeah.[00:34:48] Martin Casado: It's everything. Like I'm asking these models to, yeah, to understand compliance. I'm asking these models to go search the web. I'm asking these models to talk about things I know in the history, like it's having a full conversation with me while I, I engineer, and so it could be [00:35:00] the case that like, mm-hmm.[00:35:01] The most a, you know, a GI complete, like I'm not an a GI guy. Like I think that's, you know, but like the most a GI complete model will is win independent of the task. And we don't know the answer to that one either.[00:35:11] swyx: Yeah.[00:35:12] Martin Casado: But it seems to me that like, listen, codex in my experience is for sure better than Opus 4.5 for coding.[00:35:18] Like it finds the hardest bugs that I work in with. Like, it is, you know. The smartest developers. I don't work on it. It's great. Um, but I think Opus 4.5 is actually very, it's got a great bedside manner and it really, and it, it really matters if you're building something very complex because like, it really, you know, like you're, you're, you're a partner and a brainstorming partner for somebody.[00:35:38] And I think we don't discuss enough how every task kind of has that quality.[00:35:42] swyx: Mm-hmm.[00:35:43] Martin Casado: And what does that mean to like capital investment and like frontier models and Submodels? Yeah.[00:35:47] Why “Coding Models” Keep Collapsing into Generalists (Reasoning vs Taste)[00:35:47] Martin Casado: Like what happened to all the special coding models? Like, none of ‘em worked right. So[00:35:51] Alessio: some of them, they didn't even get released.[00:35:53] Magical[00:35:54] Martin Casado: Devrel. There's a whole, there's a whole host. We saw a bunch of them and like there's this whole theory that like, there could be, and [00:36:00] I think one of the conclusions is, is like there's no such thing as a coding model,[00:36:04] Alessio: you know?[00:36:04] Martin Casado: Like, that's not a thing. Like you're talking to another human being and it's, it's good at coding, but like it's gotta be good at everything.[00:36:10] swyx: Uh, minor disagree only because I, I'm pretty like, have pretty high confidence that basically open eye will always release a GPT five and a GT five codex. Like that's the code's. Yeah. The way I call it is one for raisin, one for Tiz. Um, and, and then like someone internal open, it was like, yeah, that's a good way to frame it.[00:36:32] Martin Casado: That's so funny.[00:36:33] swyx: Uh, but maybe it, maybe it collapses down to reason and that's it. It's not like a hundred dimensions doesn't life. Yeah. It's two dimensions. Yeah, yeah, yeah, yeah. Like and exactly. Beside manner versus coding. Yeah.[00:36:43] Martin Casado: Yeah.[00:36:44] swyx: It's, yeah.[00:36:46] Martin Casado: I, I think for, for any, it's hilarious. For any, for anybody listening to this for, for, for, I mean, for you, like when, when you're like coding or using these models for something like that.[00:36:52] Like actually just like be aware of how much of the interaction has nothing to do with coding and it just turns out to be a large portion of it. And so like, you're, I [00:37:00] think like, like the best Soto ish model. You know, it is going to remain very important no matter what the task is.[00:37:06] swyx: Yeah.[00:37:07] What He's Actually Coding: Gaussian Splats, Spark.js & 3D Scene Rendering Demos[00:37:07] swyx: Uh, speaking of coding, uh, I, I'm gonna be cheeky and ask like, what actually are you coding?[00:37:11] Because obviously you, you could code anything and you are obviously a busy investor and a manager of the good. Giant team. Um, what are you calling?[00:37:18] Martin Casado: I help, um, uh, FEFA at World Labs. Uh, it's one of the investments and um, and they're building a foundation model that creates 3D scenes.[00:37:27] swyx: Yeah, we had it on the pod.[00:37:28] Yeah. Yeah,[00:37:28] Martin Casado: yeah. And so these 3D scenes are Gaussian splats, just by the way that kind of AI works. And so like, you can reconstruct a scene better with, with, with radiance feels than with meshes. ‘cause like they don't really have topology. So, so they, they, they produce each. Beautiful, you know, 3D rendered scenes that are Gaussian splats, but the actual industry support for Gaussian splats isn't great.[00:37:50] It's just never, you know, it's always been meshes and like, things like unreal use meshes. And so I work on a open source library called Spark js, which is a. Uh, [00:38:00] a JavaScript rendering layer ready for Gaussian splats. And it's just because, you know, um, you, you, you need that support and, and right now there's kind of a three js moment that's all meshes and so like, it's become kind of the default in three Js ecosystem.[00:38:13] As part of that to kind of exercise the library, I just build a whole bunch of cool demos. So if you see me on X, you see like all my demos and all the world building, but all of that is just to exercise this, this library that I work on. ‘cause it's actually a very tough algorithmics problem to actually scale a library that much.[00:38:29] And just so you know, this is ancient history now, but 30 years ago I paid for undergrad, you know, working on game engines in college in the late nineties. So I've got actually a back and it's very old background, but I actually have a background in this and so a lot of it's fun. You know, but, but the, the, the, the whole goal is just for this rendering library to, to,[00:38:47] Sarah Wang: are you one of the most active contributors?[00:38:49] The, their GitHub[00:38:50] Martin Casado: spark? Yes.[00:38:51] Sarah Wang: Yeah, yeah.[00:38:51] Martin Casado: There's only two of us there, so, yes. No, so by the way, so the, the pri The pri, yeah. Yeah. So the primary developer is a [00:39:00] guy named Andres Quist, who's an absolute genius. He and I did our, our PhDs together. And so like, um, we studied for constant Quas together. It was almost like hanging out with an old friend, you know?[00:39:09] And so like. So he, he's the core, core guy. I did mostly kind of, you know, the side I run venture fund.[00:39:14] swyx: It's amazing. Like five years ago you would not have done any of this. And it brought you back[00:39:19] Martin Casado: the act, the Activ energy, you're still back. Energy was so high because you had to learn all the framework b******t.[00:39:23] Man, I f*****g used to hate that. And so like, now I don't have to deal with that. I can like focus on the algorithmics so I can focus on the scaling and I,[00:39:29] swyx: yeah. Yeah.[00:39:29] LLMs vs Spatial Intelligence + How to Value World Labs' 3D Foundation Model[00:39:29] swyx: And then, uh, I'll observe one irony and then I'll ask a serious investor question, uh, which is like, the irony is FFE actually doesn't believe that LMS can lead us to spatial intelligence.[00:39:37] And here you are using LMS to like help like achieve spatial intelligence. I just see, I see some like disconnect in there.[00:39:45] Martin Casado: Yeah. Yeah. So I think, I think, you know, I think, I think what she would say is LLMs are great to help with coding.[00:39:51] swyx: Yes.[00:39:51] Martin Casado: But like, that's very different than a model that actually like provides, they, they'll never have the[00:39:56] swyx: spatial inte[00:39:56] Martin Casado: issues.[00:39:56] And listen, our brains clearly listen, our brains, brains clearly have [00:40:00] both our, our brains clearly have a language reasoning section and they clearly have a spatial reasoning section. I mean, it's just, you know, these are two pretty independent problems.[00:40:07] swyx: Okay. And you, you, like, I, I would say that the, the one data point I recently had, uh, against it is the DeepMind, uh, IMO Gold, where, so, uh, typically the, the typical answer is that this is where you start going down the neuros symbolic path, right?[00:40:21] Like one, uh, sort of very sort of abstract reasoning thing and one form, formal thing. Um, and that's what. DeepMind had in 2024 with alpha proof, alpha geometry, and now they just use deep think and just extended thinking tokens. And it's one model and it's, and it's in LM.[00:40:36] Martin Casado: Yeah, yeah, yeah, yeah, yeah.[00:40:37] swyx: And so that, that was my indication of like, maybe you don't need a separate system.[00:40:42] Martin Casado: Yeah. So, so let me step back. I mean, at the end of the day, at the end of the day, these things are like nodes in a graph with weights on them. Right. You know, like it can be modeled like if you, if you distill it down. But let me just talk about the two different substrates. Let's, let me put you in a dark room.[00:40:56] Like totally black room. And then let me just [00:41:00] describe how you exit it. Like to your left, there's a table like duck below this thing, right? I mean like the chances that you're gonna like not run into something are very low. Now let me like turn on the light and you actually see, and you can do distance and you know how far something away is and like where it is or whatever.[00:41:17] Then you can do it, right? Like language is not the right primitives to describe. The universe because it's not exact enough. So that's all Faye, Faye is talking about. When it comes to like spatial reasoning, it's like you actually have to know that this is three feet far, like that far away. It is curved.[00:41:37] You have to understand, you know, the, like the actual movement through space.[00:41:40] swyx: Yeah.[00:41:40] Martin Casado: So I do, I listen, I do think at the end of these models are definitely converging as far as models, but there's, there's, there's different representations of problems you're solving. One is language. Which, you know, that would be like describing to somebody like what to do.[00:41:51] And the other one is actually just showing them and the space reasoning is just showing them.[00:41:55] swyx: Yeah, yeah, yeah. Right. Got it, got it. Uh, the, in the investor question was on, on, well labs [00:42:00] is, well, like, how do I value something like this? What, what, what work does the, do you do? I'm just like, Fefe is awesome.[00:42:07] Justin's awesome. And you know, the other two co-founder, co-founders, but like the, the, the tech, everyone's building cool tech. But like, what's the value of the tech? And this is the fundamental question[00:42:16] Martin Casado: of, well, let, let, just like these, let me just maybe give you a rough sketch on the diffusion models. I actually love to hear Sarah because I'm a venture for, you know, so like, ventures always, always like kind of wild west type[00:42:24] swyx: stuff.[00:42:24] You, you, you, you paid a dream and she has to like, actually[00:42:28] Martin Casado: I'm gonna say I'm gonna mar to reality, so I'm gonna say the venture for you. And she can be like, okay, you a little kid. Yeah. So like, so, so these diffusion models literally. Create something for, for almost nothing. And something that the, the world has found to be very valuable in the past, in our real markets, right?[00:42:45] Like, like a 2D image. I mean, that's been an entire market. People value them. It takes a human being a long time to create it, right? I mean, to create a, you know, a, to turn me into a whatever, like an image would cost a hundred bucks in an hour. The inference cost [00:43:00] us a hundredth of a penny, right? So we've seen this with speech in very successful companies.[00:43:03] We've seen this with 2D image. We've seen this with movies. Right? Now, think about 3D scene. I mean, I mean, when's Grand Theft Auto coming out? It's been six, what? It's been 10 years. I mean, how, how like, but hasn't been 10 years.[00:43:14] Alessio: Yeah.[00:43:15] Martin Casado: How much would it cost to like, to reproduce this room in 3D? Right. If you, if you, if you hired somebody on fiber, like in, in any sort of quality, probably 4,000 to $10,000.[00:43:24] And then if you had a professional, probably $30,000. So if you could generate the exact same thing from a 2D image, and we know that these are used and they're using Unreal and they're using Blend, or they're using movies and they're using video games and they're using all. So if you could do that for.[00:43:36] You know, less than a dollar, that's four or five orders of magnitude cheaper. So you're bringing the marginal cost of something that's useful down by three orders of magnitude, which historically have created very large companies. So that would be like the venture kind of strategic dreaming map.[00:43:49] swyx: Yeah.[00:43:50] And, and for listeners, uh, you can do this yourself on your, on your own phone with like. Uh, the marble.[00:43:55] Martin Casado: Yeah. Marble.[00:43:55] swyx: Uh, or but also there's many Nerf apps where you just go on your iPhone and, and do this.[00:43:59] Martin Casado: Yeah. Yeah. [00:44:00] Yeah. And, and in the case of marble though, it would, what you do is you literally give it in.[00:44:03] So most Nerf apps you like kind of run around and take a whole bunch of pictures and then you kind of reconstruct it.[00:44:08] swyx: Yeah.[00:44:08] Martin Casado: Um, things like marble, just that the whole generative 3D space will just take a 2D image and it'll reconstruct all the like, like[00:44:16] swyx: meaning it has to fill in. Uh,[00:44:18] Martin Casado: stuff at the back of the table, under the table, the back, like, like the images, it doesn't see.[00:44:22] So the generator stuff is very different than reconstruction that it fills in the things that you can't see.[00:44:26] swyx: Yeah. Okay.[00:44:26] Sarah Wang: So,[00:44:27] Martin Casado: all right. So now the,[00:44:28] Sarah Wang: no, no. I mean I love that[00:44:29] Martin Casado: the adult[00:44:29] Sarah Wang: perspective. Um, well, no, I was gonna say these are very much a tag team. So we, we started this pod with that, um, premise. And I think this is a perfect question to even build on that further.[00:44:36] ‘cause it truly is, I mean, we're tag teaming all of these together.[00:44:39] Investing in Model Labs, Media Rumors, and the Cursor Playbook (Margins & Going Down-Stack)[00:44:39] Sarah Wang: Um, but I think every investment fundamentally starts with the same. Maybe the same two premises. One is, at this point in time, we actually believe that there are. And of one founders for their particular craft, and they have to be demonstrated in their prior careers, right?[00:44:56] So, uh, we're not investing in every, you know, now the term is NEO [00:45:00] lab, but every foundation model, uh, any, any company, any founder trying to build a foundation model, we're not, um, contrary to popular opinion, we're

It's always worth a big smile when we have a trip report. And even better when we have a visit from MEI Travel agent Laurie Oliveri. She's in the guest host chair to talk about her recent trip on the Disney Destiny. Stan and Laurie talk about their favourite things on board ship and some terrific travel tips to make your experience even better. ----------------------- if you would like to book a fee free vacation with Laurie contact her at laurie.olivieri@mei-travel.com and be sure to tell her Stan Solo sent you     ----------------------- Hello and welcome to this edition of The Solo Show. THANK YOU for your support by joining us and our fun little podcast where YOU can be the co-host. Simple reach out to me at thesoloshow01@gmail.com with your idea for a show and we will see about being my co-host for a day. All you need is a love for Disney, a show idea, and a decent internet connection. ~Stan Solo ----------------------- If you enjoy the show then show some love by sharing out that your listening, and be sure to subscribe. Plus, take a few minutes to write a review on Apple Podcast…only one rule, make it good.  ----------------------- If you ever dreamed about living next to the most Magical place on Earth by moving to the Orlando area be sure to visit our sponsor Victor Nawrocki, he to help you make your dream a reality. Visit CelebratingFlorida.com today and find your future near the magic. Remember to tell him The Solo Show sent you. -------------------- Ken the Voiceover Guy is available for hire. Maybe you need him to read an ad for you, or record your podcast intro, etc. Send him an email at tvfella67@gmail.com for more information and prices. ----------------------- LET'S CONNECT!  Facebook.com/TheSoloShow01 Facebook.com/groups/TheSoloShow •Instagram.com/the_solo_show_podcast •Twitter.com/@thesoloshow1 •YouTube.com/TheSoloShow TheSoloShow.com- Visit our website for quick access to past shows. ----------------------- © 2026 - The Solo Show is in no way part of, endorsed or authorized by, or affiliated with the Walt Disney Company or its affiliates. As to Disney artwork/properties: © Disney. Disclosure | Privacy Policy  

Old fave, new intro! We talk to journalist Emma Howarth about her book 'A Year of Mystical Thinking' – an account of the year that changed her life, where she explored the power of vision boarding,  sound baths, spirit guides, rituals, meditation, tarot, oracle cards, crystals, astrology & manifestations... to name just a few.Emma shares with us her experiences, and sets the listener and us a challenge to kick start our magical year. Kate also goes on a surreal journey to find her spirit guide and Gwen gets serious about her new moon intentions. Find out more about Emma and her book.Find out more! For all RUMP info in one place: visit our linkt.ree Get a shout-out:Want a mention on the next RUMPette? Tell us your feedback or what you do to make yourself feel good: rightupmypodcast@gmail.com Support RUMP: If you enjoy the podcast, please subscribe, share with your friends and leave a review. It takes less than 60 seconds and really makes a difference in helping people discover the podcast. Thank you! Join the RUMP Club! Support the team and access exclusive content from as little as £3 p/month at: Right Up My Podcast | Patreon Or, if you'd like to make a one-off donation, you can buy us a virtual coffee from Buy Me a Coffee! Be social with us:Instagram Facebook TikTok Thank you to our team:Music – Andrew GrimesArtwork – Erica Frances GeorgeSocial Media – Kate BallsRUMPette Voiceover – Dave Jones

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670. Is bone broth good for you? It is on a continuing upward popularity trend, so what's the deal? This episode originally aired in March 2024.Get-Fit Guy is hosted by Kevin Don. Find a full transcript here. Have a fitness question? Email Kevin at getfitguy@quickanddirtytips.com.Find Get-Fit Guy on Facebook and Twitter, or subscribe to the newsletter for more fitness tips.Get-Fit Guy is a part of Quick and Dirty Tips.Links:https://www.quickanddirtytips.comhttps://www.facebook.com/GetFitGuyhttps://twitter.com/GetFitGuy Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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Send a textDiscover the hidden folklore of Japan's most mystical flora in this episode of Supernatural Japan, where we explore the ancient beliefs surrounding magical plants like bamboo, mugwort, sakura, cedar, wisteria, and foxglove, and uncover how these plants were once thought to ward off evil, attract spirits, grant protection, or even curse the living, blending Shinto traditions, Buddhist symbolism, and rural folk practices into a rich tapestry of supernatural history that reveals how deeply the natural world shaped Japan's spiritual imagination and its enduring legends.Follow the podcast: Instagram: https://www.instagram.com/supernaturaljapanFacebook: https://www.facebook.com/groups/supernaturaljapanBluesky: https://bsky.app/profile/madformaple.bsky.socialX: https://x.com/MadForMapleEmail: supernaturaljapan@gmail.comTales from Kevin Podcast (my weekly diary-style podcast):https://podcasts.apple.com/us/podcast/tales-from-kevin/id1767355563Support the podcast (Help fund the creation of new episodes) https://buymeacoffee.com/busankevinYouTube: https://www.youtube.com/@BusanKevinWebsite: https://supernaturaljapan.buzzsprout.comSupport the show

From Kalulu red card scandal, Chiellini and Comolli Juventus fury, moral panic over Bastoni and Chivu in Italian media, magical Modric Milan's hero, Malen can't stop scoring for Roma, to Alisson Santos heroics for Napoli, to Fiorentina take massive win over Como where Fabregas fries Morata, and Atalanta right back in top 4 race over Lazio who hope season ends, Orban red card sends Hellas Verona into a tailspin, preview of Champions League, Europa League and Conference League playoffs, as well as this week's Baggio, Serie ASS and Premface of the week plus much, much more when Nima and Carlo break down all the main talking points from Match Day 25 of the 2025/2026 Serie A season. Timestamps: 00:00 Intro - Match Day 25 Episode Overview 03:16 Inter Milan Vs Juventus - Pierre Kalulu Sending Off Scandal 14:55 Serie A Referee Crisis - Gianluca Rocchi Must Resign 25:26 VAR - The Protocol Must Be Changed 28:30 Italian Cancel Culture - Moral Panic Meltdown On Bastoni & Chivu 49:55 Juventus - Spalletti Won Tactical Battle But Di Gregorio Does A Handanovic 54:53 Inter - End Big Match Curse But Carved Open Way Too Easily In Midfield 57:55 AC Milan - Magical Modric As Füllkrug Woke Penalty Not Costly 01:01:44 Roma - Malen Continues To Deliver In Gasperini System 01:04:02 Napoli - Alisson Santos Changed Game As Conte & Co Remain Unbeaten At Home 01:08:32 Fiorentina Record Massive Win Over Como As Fabregas Fries Morata 01:10:03 Atalanta Right In Serie A Top 4 Race As Lazio Can't Wait For Season To End 01:11:08 Best Of The Rest - Sassuolo Score Two Wonderful Goals Against Udinese, Orban Red Card Sends Hellas Verona Into Rage Mode As Parma Win, Cremonese Fail To Score Against Genoa As Bologna Beat Torino 01:13:58 Champions League, Europa League & Conference League Playoff Preview - Juve Clash With Galatasaray In Istanbul, Inter In Arctic Conditions Against Bodo/Glimt, Atalanta Travel To Dortmund, Bologna Host Brann & Fiorentina At Home To Jagiellonia Białystok 01:17:00 Baggio, Premface & Serie ASS Of The Week - Italian Sport Shines As A Whole Italian Football Fails, Another Carragher Owngoal, Serie A Aleksandro Vs Ruben Amorim Mixup & More If you want to support The Italian Football Podcast and get every episode, simply become a member on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon.com/TIFP⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ OR ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ OR ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Memberships⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Your support makes The Italian Football Podcast possible.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow us: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok Learn more about your ad choices. Visit podcastchoices.com/adchoices

Welcome to Season 8 for Books Broads and Booze! A Witch's Guide to Magical Inn Keeping by Sangu Mandanna is a whimsical and heartfelt fantasy novel. Drink responsibly!Questions and comments may be sent to broadsbookandbooze@gmail.comTheme music by Dee Yan-Kay

Ritual spellcasting is the part of tabletop roleplaying games where wizards stop blowing things up for ten minutes and instead argue about chalk circles, incense pricing, and whether chanting counts as a somatic component if you're holding snacks. In this episode of the RPGBOT.Podcast, we dive deep into D&D ritual casting mechanics, explore how Pathfinder and 5e ritual spells change encounter pacing, and discuss how to turn out-of-combat magic systems into storytelling tools instead of bookkeeping exercises. Because sometimes the real magic isn't Fireball — it's spending eleven minutes summoning a familiar while your party rogue steals your candles. Show Notes Ritual magic sits in a fascinating design space across modern tabletop RPG systems, particularly in Dungeons & Dragons 5e ritual spellcasting rules, where casting without expending spell slots reshapes resource management and exploration play. In this episode, the hosts explore how ritual casting in tabletop RPGs functions both as a mechanical subsystem and as a narrative lever for immersion. Rather than treating ritual spells like background noise, we discuss ways GMs and players can frame non-combat spellcasting mechanics as collaborative storytelling moments that reinforce tone, pacing, and worldbuilding. The conversation begins with a mechanical breakdown of how ritual casting works in D&D, including class access, preparation requirements, and opportunity cost. We compare approaches to ritual magic systems in Pathfinder and other TTRPGs, highlighting how design differences affect party planning and gameplay tension. Along the way, we touch on optimization considerations for players researching best ritual spells for utility and exploration, and how ritual access can shape character identity outside of combat encounters. From there, the discussion pivots toward table culture and presentation. Ritual casting is an opportunity to create sensory texture — chanting, environmental interaction, symbolic components — and we outline practical techniques for GMs seeking to immerse players through magical storytelling. This includes pacing strategies, spotlight balance, and methods for integrating ritual outcomes into ongoing campaign arcs rather than treating them as isolated mechanics. Finally, we address common pitfalls. Overuse can trivialize challenges, while underuse wastes design space. By framing rituals as collaborative scenes instead of background automation, tables can unlock deeper engagement with fantasy roleplaying immersion techniques and reinforce the feeling that magic is mysterious, costly, and meaningful. Whether you're optimizing your spellbook or building cinematic magical moments, this episode provides both system mastery and creative inspiration for getting more out of ritual spellcasting at your table. Key Takeaways Ritual spellcasting in D&D 5e allows slot-free utility casting but requires time investment and preparation planning Understanding how ritual casting works in tabletop RPG systems helps players optimize exploration and resource management Many best ritual spells for roleplaying immersion shine outside combat and define character identity GMs can elevate non-combat magic storytelling by emphasizing sensory description and table participation Ritual scenes are opportunities to reinforce pacing, spotlight sharing, and narrative tone Comparing ritual mechanics across Pathfinder and 5e highlights how system design affects tension and preparation Avoid trivializing obstacles — meaningful cost or risk keeps ritual magic engaging Treat rituals as collaborative scenes rather than background mechanics to enhance immersion Strong presentation transforms fantasy ritual casting experiences into memorable campaign moments Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Ritual spellcasting is the part of tabletop roleplaying games where wizards stop blowing things up for ten minutes and instead argue about chalk circles, incense pricing, and whether chanting counts as a somatic component if you're holding snacks. In this episode of the RPGBOT.Podcast, we dive deep into D&D ritual casting mechanics, explore how Pathfinder and 5e ritual spells change encounter pacing, and discuss how to turn out-of-combat magic systems into storytelling tools instead of bookkeeping exercises. Because sometimes the real magic isn't Fireball — it's spending eleven minutes summoning a familiar while your party rogue steals your candles. Show Notes Ritual magic sits in a fascinating design space across modern tabletop RPG systems, particularly in Dungeons & Dragons 5e ritual spellcasting rules, where casting without expending spell slots reshapes resource management and exploration play. In this episode, the hosts explore how ritual casting in tabletop RPGs functions both as a mechanical subsystem and as a narrative lever for immersion. Rather than treating ritual spells like background noise, we discuss ways GMs and players can frame non-combat spellcasting mechanics as collaborative storytelling moments that reinforce tone, pacing, and worldbuilding. The conversation begins with a mechanical breakdown of how ritual casting works in D&D, including class access, preparation requirements, and opportunity cost. We compare approaches to ritual magic systems in Pathfinder and other TTRPGs, highlighting how design differences affect party planning and gameplay tension. Along the way, we touch on optimization considerations for players researching best ritual spells for utility and exploration, and how ritual access can shape character identity outside of combat encounters. From there, the discussion pivots toward table culture and presentation. Ritual casting is an opportunity to create sensory texture — chanting, environmental interaction, symbolic components — and we outline practical techniques for GMs seeking to immerse players through magical storytelling. This includes pacing strategies, spotlight balance, and methods for integrating ritual outcomes into ongoing campaign arcs rather than treating them as isolated mechanics. Finally, we address common pitfalls. Overuse can trivialize challenges, while underuse wastes design space. By framing rituals as collaborative scenes instead of background automation, tables can unlock deeper engagement with fantasy roleplaying immersion techniques and reinforce the feeling that magic is mysterious, costly, and meaningful. Whether you're optimizing your spellbook or building cinematic magical moments, this episode provides both system mastery and creative inspiration for getting more out of ritual spellcasting at your table. Key Takeaways Ritual spellcasting in D&D 5e allows slot-free utility casting but requires time investment and preparation planning Understanding how ritual casting works in tabletop RPG systems helps players optimize exploration and resource management Many best ritual spells for roleplaying immersion shine outside combat and define character identity GMs can elevate non-combat magic storytelling by emphasizing sensory description and table participation Ritual scenes are opportunities to reinforce pacing, spotlight sharing, and narrative tone Comparing ritual mechanics across Pathfinder and 5e highlights how system design affects tension and preparation Avoid trivializing obstacles — meaningful cost or risk keeps ritual magic engaging Treat rituals as collaborative scenes rather than background mechanics to enhance immersion Strong presentation transforms fantasy ritual casting experiences into memorable campaign moments Welcome to the RPGBOT Podcast. If you love Dungeons & Dragons, Pathfinder, and tabletop RPGs, this is the podcast for you. Support the show for free: Rate and review us on Apple Podcasts, Spotify, or any podcast app. It helps new listeners find the best RPG podcast for D&D and Pathfinder players. Level up your experience: Join us on Patreon to unlock ad-free access to RPGBOT.net and the RPGBOT Podcast, chat with us and the community on the RPGBOT Discord, and jump into live-streamed RPG podcast recordings. Support while you shop: Use our Amazon affiliate link at https://amzn.to/3NwElxQ and help us keep building tools and guides for the RPG community. Meet the Hosts Tyler Kamstra – Master of mechanics, seeing the Pathfinder action economy like Neo in the Matrix. Randall James – Lore buff and technologist, always ready to debate which Lord of the Rings edition reigns supreme. Ash Ely – Resident cynic, chaos agent, and AI's worst nightmare, bringing pure table-flipping RPG podcast energy. Join the RPGBOT team where fantasy roleplaying meets real strategy, sarcasm, and community chaos. How to Find Us: In-depth articles, guides, handbooks, reviews, news on Tabletop Role Playing at RPGBOT.net Tyler Kamstra BlueSky: @rpgbot.net TikTok: @RPGBOTDOTNET Ash Ely Professional Game Master on StartPlaying.Games BlueSky: @GravenAshes YouTube: @ashravenmedia Randall James BlueSky: @GrimoireRPG Amateurjack.com Read Melancon: A Grimoire Tale (affiliate link) Producer Dan @Lzr_illuminati

Set your expectations and keep them.

Fate brings together a princess and a girl from a small town… Will and Sabrina are watching “Princess Protection Program” starring Demi Lovato and Selena Gomez. This film premiered in 2009 as a Disney Channel Original Movie.See omnystudio.com/listener for privacy information.

The opposite of quitting is recommitting. And sometimes that means you need a spelled-out roadmap to help you define what steps you can take to recommit to recovery. Today's episode is different. I'm not speaking in theoretical terms or giving advice I wouldn't follow myself. I'm sharing exactly what I would do if I was trapped in an eating disorder right now. The actual steps. The concrete path forward. The golden nugget roadmap I would follow myself. Whether you're experiencing a relapse, stuck in your recovery, or wish you could go back and tell your younger self what to do—this episode is your clear, actionable guide. In this episode, you'll discover: The 6-step roadmap I'd follow if I was trapped in an eating disorder today Why relapse is normal and doesn't mean you've failed Step 1: Recognition and acceptance—how to get out of denial faster Step 2: Immediate outreach—breaking the isolation that keeps you stuck Step 3: Implementing structure—what to do RIGHT NOW to support yourself Step 4: Investigating triggers—what's really driving this beneath the surface Step 5: Developing a crisis response plan—how to create lasting recovery Step 6: Reconnecting with your WHY—the values your ED is violating What I wish I could tell my younger self 15+ years ago Why recovery isn't about perfection—it's about progress How to recommit to your best self starting TODAY If you're in the trenches, if you've relapsed, if you're struggling—this roadmap is for you. Not theory. Just honest, practical steps. THE 6-STEP RECOVERY ROADMAP STEP 1: RECOGNITION AND ACCEPTANCE The hardest step: Admitting where you are is no longer where you want to be. If I was relapsing today, I know I'd experience a strong pull toward denial. I might tell myself: "I'm just being more careful about what I eat" "I'm having a few bad days" "I can handle this on my own" What I'd do instead: ✅ Name what's happening - Get out of denial faster ✅ Ask myself: Am I skipping meals? Preoccupied with food thoughts? Anxious around mealtimes? Weighing myself? ✅ Practice self-compassion - Not excusing the behavior, but acknowledging eating disorders are complex illnesses, not personal failures ✅ Say to myself: "This is really hard. I don't have to do this alone." This step creates the foundation to move forward in ACTION instead of sitting in denial. STEP 2: IMMEDIATE OUTREACH Eating disorders thrive in isolation. My counter-attack would be CONNECTION. What I'd do: ✅ Contact someone I trust - In my case, my mom. I'd say: "I'm struggling with my thoughts and behaviors. I need support." ✅ Get professional help immediately If I had a treatment team: Contact them and say "I'm experiencing relapse. I need an appointment ASAP." If I didn't: Call primary care doctor, get a referral, look into local ED treatment centers ✅ Get accountability - Schedule meals, keep appointments with myself, check in with someone Key truth: Don't wait until things get "bad enough." Early intervention makes a tremendous difference. Breaking isolation doesn't mean everyone needs to know. It means strategically connecting with people who can provide support. STEP 3: IMPLEMENTING STRUCTURE What I'd put in place immediately: ✅ Regular eating patterns - Have a plan ready, no reinventing the wheel during vulnerable times. Use the same meals daily to reduce decision fatigue. ✅ Clean up social media & entertainment Unfollow accounts that trigger comparison or food obsession Avoid shows glorifying thinness or dieting Curate recovery-supportive content Join communities like Her Best Self Society (HerBestSelfSociety.com) ✅ Set clear boundaries with exercise - Temporarily pause formalized exercise, focus on gentle movement (This requires support—I couldn't do this alone) ✅ Document thoughts & feelings - Not to be perfect, but to increase awareness of patterns and triggers. Rebuild trust with body and mind. Structure = support. Not rigidity, but safety. STEP 4: INVESTIGATING TRIGGERS Eating disorders aren't just about food or weight. What's really happening beneath the surface? Questions I'd ask myself: ❓ What changes in my life have happened recently? (Transition, loss, increased responsibility, relationship change) ❓ What emotions am I struggling to manage? ❓ What am I trying to numb, distract from, or control? ❓ What needs aren't being met right now? ❓ What external pressures am I responding to? ❓ What beliefs am I believing about my worth, body, or identity? The truth: Eating disorders flare during periods of change and loss of control. Understanding triggers helps you heal beyond just the behaviors—you learn to process emotions in healthier ways. STEP 5: DEVELOPING A CRISIS RESPONSE PLAN Lasting recovery requires more than just putting out fires. What I'd create: ✅ Coping strategies - Tools to use when urges arise ✅ Relapse prevention plan - Document early warning signs, high-risk situations, actions to take ✅ Support system - Who to call, when, and why The sustainable plan is about building a life where: The eating disorder becomes less necessary and less powerful Recovery feels like moving TOWARD something meaningful Not just running away from illness Work with someone to determine exactly what support you need and put that planning in place. STEP 6: RECONNECTING WITH YOUR WHY The most important step: Remember what the eating disorder is stealing from you. What I'd do: ✅ Identify the values my ED violates The ED promises control, safety, worth. But it actually undermines: freedom, joy, creativity, authenticity, relationships, purpose. ✅ Compile a list: What has this ED taken from me? Holidays ruined Relationships lost Moments with loved ones missed Energy wasted Dreams on hold Future opportunities destroyed ✅ Ask: What present moments is it stealing RIGHT NOW? What future opportunities will be destroyed if I don't fix this? ✅ Dream beyond the disorder - What do I want my life to look like? Who is my BEST self? If I could go back 15+ years and tell my younger self: "You're gonna go through this godawful period, but on the other side is MAGICAL. You'll experience things you never would've allowed—wonderful relationships, contributions to the world, PURPOSE. Start dreaming NOW of the vision beyond this disorder." KEY QUOTES FROM THIS EPISODE

Fate brings together a princess and a girl from a small town… Will and Sabrina are watching “Princess Protection Program” starring Demi Lovato and Selena Gomez. This film premiered in 2009 as a Disney Channel Original Movie.See omnystudio.com/listener for privacy information.

It's time to play the music, it's time to light the lights... This week's episode is full of laughs and memories of Muppets, latch keys, Super Bowl parties and back when we thought picking the state flower would land us in jail. It's the most sensational, inspirational, celebrational, Ugleetational This is what we call the Uglee Truth!

Nura is excited to help welcome new families to Freshwater, but when her favorite tatreez no longer fits, she must get creative. With a little magic and a lot of heart, she discovers a beautiful new way to share what matters most. Writer: Mariam Al-HusseiniVoice Over Artists: Emily Rose Debini, Addie Nofal, and Rebecca CunninghamProducer: Tessa FlanneryExecutive Producer: Megan BagalaTheme Song: Megan BagalaArtwork: Shannon Doran Links for the Grownups!Sign up for the Pen Pal ProgramJoin The Girl Tales ClubGet the Girl Tales Starter PackGirl Tales EventsPurchase a Personalized StoryListen to Ghost TourJoin the Girl Tales PatreonRebecca's NewsletterFacebookInstagramBuy the Girl Tales Team a CoffeeStarglow Media

I took my wife on a bohemian date in Montmartre - we called this episode "Bohemia on wheels". Join us as we take you through Montmartre in a 2CV with three nostalgic and bohemian stops along the way. Earful members can get 15 percent off your own unforgettable 2CV experience in Paris. The experience: 2 CV with Cedric's Paris Website: https://cedricsparis.com/en/home/ This episode was recently released as a member's only episode. You can unlock the other ten episodes from the season on Patreon or Substack. Membership takes only a minute to set up on Patreon, or Substack. Thank you for keeping this channel independent.  *********** The Earful Tower exists thanks to support from its members. For just $10 a month you can unlock almost endless extras including bonus podcast episodes, live video replays, special event invites, and our annually updated PDF guide to Paris.  For more from the Earful Tower, here are some handy links: Website  Weekly newsletter  Walking Tours Music by Pres Maxson.

If you could borrow one Disney character power for a day… what would it be? Flight? Ice magic? Super strength? Animal communication?! This week on Disney Countdown with The Magical Millennial and The Dapper Danielle, we're kicking off a brand-new, super-powered countdown with Top 10 Disney Character Powers & Abilities We'd LOVE to Have – Part 1!

Can't switch off tonight? Settle in with Geoffrey by the fireside for a cosy bedtime story about new beginnings, kind neighbours, and a little cottage in the woods that feels… almost too magical to be real. If you'd like an extra touch of calm, you can also watch this episode on Spotify, complete with soothing visuals

On the back on Jules' wedding, join Conor and Banana as they discuss what has been hitting their tables. Conor has been gaming like crazy after the new move to Sydney.  He's particularly enamoured with hoarding dates and slippers in Marrakesh.  Meanwhile, Banana is obsessed with ‘Huge Baby' and his ability to throw his weight around in Magical Athlete!  All this and much more, so enjoy the listen!   Sizzling Games: Magical Athlete [53.02] Marrakesh [1.06.41]   New Question of the Pod: Do you prefer games that have one path to victory, or multiple paths? Why?   Check out our Eventbrite page for all of our upcoming Game Days: https://www.eventbrite.com.au/o/board-game-bbq-32833304483   Has this episode left you with a thirst for more? Here are all of the games that we discussed:   The Hobbit: There and Back Again: https://boardgamegeek.com/boardgame/436215/the-hobbit-there-and-back-again Luthier: https://boardgamegeek.com/boardgame/371330/luthier Origin Story: https://boardgamegeek.com/boardgame/454909/origin-story Forestry: https://boardgamegeek.com/boardgame/431493/forestry Twinkle Starship: https://boardgamegeek.com/boardgame/324344/twinkle-starship Orapa Mine: https://boardgamegeek.com/boardgame/424152/orapa-mine Lightning Train: https://boardgamegeek.com/boardgame/445673/lightning-train   SPONSORS Our podcast is proudly sponsored by Advent Games and More Than Meeples.   Advent Games is an Australian online board game store based in Sydney, NSW.  http://www.adventgames.com.au/   More Than Meeples is an Australian retail and online game store based in Brisbane, QLD. https://morethanmeeples.com.au/   PATREON Hey there, BBQ fans! Guess what? We've got a Patreon! By joining, you'll unlock exclusive content, gain access to a members-only section of our Discord where you can help shape the show, and so much more. Plus, your support will help us grow and bring some awesome new projects to life in 2025.   At the Board Game BBQ Podcast, we're passionate about what we do and promise to keep the fun and shenanigans rolling. We're so grateful for your support! Joining our Patreon is totally optional, and we ask that you don't contribute if it'll cause financial stress. But if you'd like to chip in from just USD$5 a month, click the link to check out our Patreon page. Thanks a million for being amazing! We're committed to creating a welcoming and inclusive community, and you all make it special. See you at the BBQ!! https://www.patreon.com/BoardGameBBQ   SOCIALS Support the podcast and join the community! https://linktr.ee/BoardGameBBQ   LISTEN ON APPLE PODCASTS: https://podcasts.apple.com/au/podcast/the-board-game-bbq-podcast/id1515192971   LISTEN ON SPOTIFY: https://open.spotify.com/show/4VZjYJV1E3AWND62urWlP9   #boardgamebbq #bgg #boardgamegeek #boardgames #bgbbqpodcast #boardgamesaustralia #boardgamers #boardgamesaddict  #aussiegamer  #boardgamesarefun  #bgcommunity #gamenight #playmoreboardgames #tabletopgames #tabletoptime #gamereview #addictsnotexperts

19 Minutes PodcastShay and Garret with CODAK Risk Advisory discuss all things soybeans for the week on record trading volumes, upside potential, and how to think through some options.

Cult specialist Joe Szimhart's next book will be about the 'siddhis' - the magical powers described in Sanskrit literature. We examine all eight of these powers - from the ability to shrink to the size of an atom to the ability to force your intention on others - and make detours into shamanistic, Carlos Castaneda, New Age, and Scientological belief.buy Jon's latest book, If Scientology Ruled the WorldAnd listen to a free sample

Wes asks the very important question: is it "beans, beans the magical fruit" or "beans, beans the musical fruit"? Crisco, Dez, Wes and Brooks also talk unfortunate names, Possum updates and more on the After Hours Podcast!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Subscribe to Cincy Drinks Magazine! https://cincydrinks.com/shop One final NFL Deathmatch Challenge pick. One missing Gnome. One more potential snow-pocalypse. One plus three shows to recap. One multiple choice question for each show. One fun episode! We talked about a plethora of things in this recording such as: The city being overly paranoid about snow.  Magical mystery guests on podcasts, but still no one awesome. Will THC actually go away for a bit? The plural of Bernardus. Floof-adjuncted beer. Sequels are unnecessary. Our next recap was completely redacted. Trying to determine the difference between "redacted" and "withdrawn". This is not our Truth! Still. Mad. About. Barstool. Perspective. Not. Being. Live. Bret and Mike get wet talking about drunk driving. The difference between types of palates and pallets. **The music used in the NFL Deathmatch Challenge is by DonRock the Imposter on YouTube: https://www.youtube.com/watch?v=mqKSIaE_QE8 @donrocktheimposter912 The Superb Owl Total Point Picks (closest without going over):  Gnome : 46 Marco : 44.5 Julia : 42 ----- This episode covers the following shows : Cincy Brew Dads - Variety Show - Ep 5 - A Selection of St Bernarduses Barstool Perspective - 1/30/2026 Blake's Craft Beer Podcast - Ep 106 - Snow Day The Weekly Pint - Ep 299 - Redacted. ----- What we drank :  Mellotone Beer Project - 15th Street Blossoms - Hazy IPA DESTIHL - Deadhead IPA - American IPA Wolf's Ridge - Hot Brass - Schwarzbier ----- Episode recorded on 2/3/2026 at our amazing podcast host, Higher Gravity Summit Park! https://highergravitycrafthaus.com/ Disclaimer: The views and opinions expressed by Truth, Beer, and Podsequences are those of the participants alone and do not necessarily reflect the views or opinions of any entities they may represent. ------  Links to everything at http://truthbeerpod.com/ or https://truthbeerpod.podbean.com/ Find us on all the social medias @ TruthBeerPod Email us at TruthBeerPod@gmail.com Subscribe, like, review, and share! Find all of our episodes on your favorite Podcast platform or https://www.youtube.com/@TruthBeerPod ! Buy us a pint!  If you'd like to support the show, you can do by clicking the "One-Time Donation" link at http://truthbeerpod.com ! If you want exclusive content, check out our Patreon!  https://www.patreon.com/TruthBeerPod If you'd like to be a show sponsor or even just a segment sponsor, let us know via email or hit us up on social media! ----- We want you to continue to be around to listen to all of our episodes.  If you're struggling, please reach out to a friend, family member, co-worker, or mental health professional.  If you don't feel comfortable talking to someone you know, please use one of the below resources to talk to someone who wants you around just as much as we do.   Call or Text 988 to reach the Suicide and Crisis Lifeline Chat with someone at 988lifeline.org http://www.988lifeline.org ----- Our Intro, Outro, and most of the "within the episode" music was provided by Gnome Creative. Check out www.GnomeCreative.com for all your audio, video, and imagery needs! @gnome__creative on Instagram @TheGnarlyGnome on Twitter https://thegnarlygnome.com/support http://gnomecreative.com http://instagram.com/gnome__creative http://www.twitter.com/TheGnarlyGnome

This episode has themes of: healing after rock bottom, rebuilding your life after hardship, overcoming personal crisis, emotional healing journey, mindset shifts after trauma, rising after failure, finding purpose after loss, breaking victim mentality, personal growth after adversity, self-worth and confidence building, transforming pain into strength, resilience after burnout, learning from life setbacks, rebuilding confidence after loss, mental strength after crisis, redefining success after struggle, self-healing and self-discovery, empowerment through adversity, finding hope after hardship, personal development after trauma, starting over in your 30s and 40s.My friend Sherri Chiprout is the founder of We-Gather, a guide and experience creator for heart-centred, ambitious entrepreneurs. She's a writer on Substack and the host of the podcast Hot, Magical & Human.In this episode, we go deep into her journey... the breakdowns, the breakthroughs, the unlearning, and the rebuilding. We talk about how she found her way back to herself after years of being shaped by expectations, systems, and narratives that were never designed for her to thrive.This is a conversation about courage, consciousness, and what it really takes to rise into your truth.Follow Sheri on socials here: https://instagram.com/sherizahava

Thinking about a Disney Cruise but not sure if it's really worth it? In this episode of the Dream Wish Plan Podcast, I'm breaking down what actually makes Disney Cruise Line different — and why so many families come home saying it was the easiest vacation they've ever taken. Disney cruises are designed to keep everyone happy. Kids are entertained, adults get real downtime, and parents aren't stuck managing every detail. From rotational dining and Broadway-style shows to character interactions and included room service, so much is built into the experience that planning feels refreshingly simple. In this episode, we talk about: What makes Disney Cruise Line different from other cruise lines Why Disney cruises work so well for families of all ages Rotational dining and why it's a game-changer What's included (room service, drinks, entertainment, and more) Disney's private islands: Castaway Cay and Lookout Cay at Lighthouse Point The truth about Disney Cruise pricing — and why it's often more doable than people think Shorter 3- and 4-night Disney cruises for first-time cruisers If you've been looking for a vacation that feels magical and relaxing, a Disney cruise might be exactly what you need.  

Make your outfit shine with this customizable LED amulet. It packs a whopping 64 LEDs into a tiny space so you can go crazy with animations and effects, match any outfit, and twinkle like the star you are. This is a fairly easy project that requires a little tight soldering, but no coding. The free, open-source WLED software does all the heavy lifting for you, and offers dozens of animations and color palettes to choose from, using a smart phone interface over your local WiFi network. My enclosure is sculpted from low-temperature thermoplastic, giving a fun organic look to the necklace. The electronics could also easily be made into a hat topper or brooch. This little piece of sparkle is versatile and small enough to use just about anywhere you need some light and color. Adafruit Feather ESP32: https://www.adafruit.com/product/5400 64 Pixel LED Matrix: https://www.adafruit.com/product/3444 Visit the Adafruit shop online - http://www.adafruit.com ----------------------------------------- LIVE CHAT IS HERE! http://adafru.it/discord Subscribe to Adafruit on YouTube: http://adafru.it/subscribe New tutorials on the Adafruit Learning System: http://learn.adafruit.com/ -----------------------------------------

Who’s the chicken!? Will and Sabrina are watching “Hatching Pete” starring Mitchel Musso and Jason Dolley. This film premiered in 2009 as a Disney Channel Original Movie.See omnystudio.com/listener for privacy information.

⭐ Typical Skeptic Podcast #2436Multidimensional Tarot w/ Aurora Diamondheart — The Blue Fairy

Who’s the chicken!? Will and Sabrina are watching “Hatching Pete” starring Mitchel Musso and Jason Dolley. This film premiered in 2009 as a Disney Channel Original Movie.See omnystudio.com/listener for privacy information.

The world feels heavy right now, so we're doing what we know how to do and pairing real-world action with real magic. We speak directly about ICE, immigration raids, and the fear impacting our communities. We share practical, accessible ways to take action, donating (yes, even $1 matters), supporting mutual aid, divesting from harmful corporations, and showing up for local elections. Small, consistent action is powerful, and your voice carries more weight than you think.We also move into the magic sharing different rituals and spells that can help in these uncertain times, from protection candles for those being targeted, amplification sigils for advocacy work, freezer spells to Reiki practices to send support where it's needed most. Tune in for grounded activism, protective spellwork, and tangible ways to show up for your neighbors.Resources Mentioned:How To Use Witchcraft To Overthrow The Government With Gina Luker5calls.orgResist.botStand With MinnesotaAmica CenterLet us know your thoughts:✨ Demystify Magic Instagram: @demystifymagic✨ Molly's instagram: @m0dizzl3✨ Madison's instagrams: @madisonlillian.jpeg and @healinghedgewitch  and @shopspellcrafter

Watch every episode ad-free & uncensored on Patreon: https://patreon.com/dannyjones Diane Hennacy, M.D. is a Johns Hopkins-trained neuropsychiatrist and neuroscientist, former Harvard faculty member, and an award-winning author and clinician. She began studying autism in 1987, when she spent six months with Sir Michael Rutter at the Institute for Psychiatry in London. Her decades long research focused on investigating reports of telepathy and precognition in autistic children was the inspiration for The Telepathy Tapes. SPONSORS https://mizzenandmain.com - Use code DANNY20 for 20% off your first order. https://prizepicks.onelink.me/LME0/DANNY - Use code DANNY & get $50 in lineups when you play your first $5 lineup! https://amentara.com/go/DJ - Use code DJ22 for 22% off your first order. https://shopmando.com - Use code DANNY for 20% off + free shipping. https://whiterabbitenergy.com/?ref=DJP - Use code DJP for 20% off EPISODE LINKS https://drdianehennacy.com https://hennacyinstitute.org FOLLOW DANNY JONES https://www.instagram.com/dannyjones https://twitter.com/jonesdanny OUTILNE 00:00 - How a Johns Hopkins trained psychiatrist got into ESP 04:46 - Savant Syndrome 06:48 - Why psychiatry disagrees with parapsychology 07:20 - Working down the hall from John Mack 11:28 - Why Diane wanted to be a neurosurgeon 16:34 - Where memory is stored in the brain 18:42 - Hippocampus' role in memory & ESP 25:51 - How oxygen deprivation destroys memory 30:49 - Harmful brain effects of breath-holding 32:14 - Effects of ketogenic state on the brain 35:25 - The autism & telepathy connection 39:44 - Savant Syndrome in blind & autistic individuals 45:51 - Neuroscience is a flawed model 51:06 - The analytical couch & the root of psychiatry 57:45 - How to prove or disprove ESP phenomena 01:01:57 - 97% accuracy telepathy test 01:11:21 - Possible materialist explanation for autistic ESP 01:16:25 - Why autistic individuals are more likely to experience ESP 01:25:25 - The problems with memory 01:26:50 - People who can't forget anything (hyperthymesia) 01:30:41 - White matter in the brain 01:34:48 - Microtubules & consciousness 01:40:53 - How to advance microtubule research 01:43:00 - Ultrasound as Alzheimer's therapy 01:45:30 - Applications of infrared light therapy 01:54:12 - The body's internal "fiber optic" system 01:58:21 - Human's natural telepathic abilities have atrophied over time 02:01:17 - Schools are failing our youth 02:05:13 - Ancient humans' telepathic abilities 02:09:45 - How the bible warns against the written word 02:15:09 - Autistic telepathic kids who mention bible characters 02:19:43 - The sixth sense humans have buried inside them 02:24:02 - The hidden superpowers of the nose 02:28:36 - How your nose can smell true love 02:32:23 - The new split in human evolution 02:35:32 - Proof of technologically advanced ancient humans 02:40:59 - The filter hypothesis 02:48:10 - Disproving the materialist model 02:51:38 - Non-autistic people with ESP 02:54:20 - Autistic people who see dead people Learn more about your ad choices. Visit podcastchoices.com/adchoices

If there is one thing that can put a fire into the heart of many a person over the last two thousand years, it is the enticement of buried treasure. Yet for centuries, buried riches weren't merely just items of value placed in the earth for people to seek out, treasure and the spirits which guarded it had a long tenured lore all its own. What's more, treasure was a magical enterprise- looking for it, digging it up and even how treasure behaved while it was buried. To this day, treasure and its allure has always been magical.

Military school?? No! Will and Sabrina are watching "Cadet Kelly" starring Hilary Duff and Christy Carlson Romano. This film premiered in 2002 as a Disney Channel Original Movie.See omnystudio.com/listener for privacy information.

Zeke Emanuel (a physician, medical ethicist, and policy wonk) has some different ideas for how to lead a healthy and meaningful life. It starts with ice cream. (Part three of “The Freakonomics Radio Guide to Getting Better.”) SOURCES:Zeke Emanuel, oncologist, bioethicist, professor at the University of Pennsylvania. RESOURCES:Eat Your Ice Cream: Six Simple Rules for a Long and Healthy Life, by Zeke Emanuel (2026)."Nutrition Science's Most Preposterous Result," by David Merritt Johns (The Atlantic, 2023). EXTRAS:"Is Ozempic as Magical as It Sounds?" by Freakonomics Radio (2024)."The Suddenly Diplomatic Rahm Emanuel," by Freakonomics Radio (2023)."Ari Emanuel Is Never Indifferent," by Freakonomics Radio (2023)."What's the “Best” Exercise?" by Freakonomics Radio (2014). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.